WO2021201610A1 - System for providing user experience-based self-management platform, and method executed in same - Google Patents

Abstract

Disclosed is a computing device for providing a user experience-based self-management platform. A computing device according to an embodiment of the present invention: provides a menu in which a user selects a category for setting a self-management process, a menu in which the user can set a routine of the self-management process, and a menu in which the user can set specific items of the routine; generates, as user-experience data for the self-management process of the user, a record of instances in which a first routine set by the user was actually executed by the user; and delivers the user-experience data to an analysis server via a communication network so that the user-experience data may be shared with other users.

Description

A system that provides a user-experience-based self-management platform and how it runs on the system

The present invention is a method executed in a system including various computing capable devices and servers, including mobile and wearable devices, and provides a platform that supports the user's self-management process by recording and sharing the user's experience for self-management. and/or to a method provided by the server.

The present invention is derived from the research conducted as part of the preliminary startup package project of the Ministry of SMEs and Startups by the Ministry of SMEs and Startups and the Ministry of Startup and Promotion [Project management number: 10224348, project name: Smart protector for preventing injuries of the elderly due to falls system].

With the recent rise of data science, efforts to extract patterns through data analysis and obtain useful information for humans are continuing. As part of these efforts, technologies such as artificial neural networks have emerged, and the performance of data analysis in the field of data science has been improved and the field of application has been expanded.

The means for collecting data for such data analysis are attracting great attention. Recently, mobile and wearable devices, which are widely spread, monitor every move of the user and thus target areas that were not previously recognized by humans for analysis. am.

On the other hand, a system for providing health care-related information for managing a user's health using a mobile and wearable device is provided, and the user is receiving help for self-management based on the mobile and wearable device.

In the simplest example, the user inputs his or her regular exercise schedule into the mobile and wearable devices, and the mobile and wearable devices provide an alarm based on the exercise schedule to induce the user to exercise regularly and support self-management. have.

Techniques for supporting the self-management process using such mobile and wearable devices are not limited to general health care or schedule management, and attempts are being made to advance the support of the self-management process based on more specific information in more diverse fields.

In Korean Patent Laid-Open Publication KR 10-2019-0057580 "Chronic skin disease self-management smartphone application method", a user can record basic data related to his or her repetitive symptoms and self-management using his/her smartphone, and the It provides a user interface that can systematically manage records and display accumulated data based on a timeline to display the frequency of skin diseases to the user and compare changes before and after self-management.

Korean Patent Application Laid-Open Publication KR 10-2019-0110987 "Management server, skin care system and method comprising same" provides skin care recommendation information collected by web crawlers, etc. to registered users, and records the user's skin image A server, a system, and a user interface that support members' skin care activities by feeding back evaluation information on skin are provided.

However, even according to these prior documents, the fields to which the collected self-management recommendation information and/or the self-management process that can be regularly executed can be applied are limited. In addition, since it is difficult to optimize or customize the self-management process in relation to the user's special situation or environment, there is a limit in effectively supporting the user's self-management process.

In the preceding document KR 10-2019-0057580, in the process of installing and logging in to a smartphone application, the service server presenting various self-management items on the smartphone screen so that the user can set individual self-management items, the user must repeatedly input every day. A user interface that supports inputting the memo content by shortening it to one, a configuration in which the service server stores and manages the self-management record entered by the user and displays it as a daily chart, and the daily chart record contents are displayed in a calendar format frame A configuration visualized by an icon, etc., a configuration of statistical processing, and the like are presented.

In KR 10-2019-0057580, a configuration is introduced in which the server sets self-management items, which are well known to have a positive effect on the improvement and prevention of symptoms of skin diseases, and provides them to the smartphone screen. However, although the user can add additional information by inputting a memo to the provided self-management item, the self-management item itself cannot be modified or customized for the user alone.

In the prior document KR 10-2019-0110987, skin care recommendation information collected by a web crawler or the like is provided. However, in KR 10-2019-0110987, the recommendation information is not provided tailored to the user, but the recommendation information is provided to the user according to the circumstances of the provider who produces and provides the recommended information. Therefore, according to the prior literature, it is difficult for the user to obtain self-management information suitable for his/her situation and environment.

Due to the recent development of information communication and electronic engineering technology, various new products may enter the market, and various self-management processes may be known through a social network or the Internet. Since the prior art provides only guidelines that have been searched and researched in advance, or guidelines generated by product producers, users can use a new product without knowing the exact usage or effective usage of the new product or execute a self-management process to find the desired product. You may not get enough effect.

The present invention was derived to solve the problems of the prior art, and an object of the present invention is not to provide standardized and uniform self-management information, but information that is actually used and experienced by a specific user is recorded and stored, and other people It is to propose a service platform that can be shared with users, and a system that supports the service platform.

It is an object of the present invention to create and record user behavioral experiences and/or product use experiences customized only for individual users themselves, and these customized user experiences are selectively recommended or shared with producers of user experiences and new users with the highest fit It is to propose a possible platform and a system that supports the platform. In particular, new users can share or refer to the user experiences customized by others, and at this time, they can know that these user experiences are applied based on the special situation and environment of the producer of the user experience. You can re-customize the user experience in a suitable form.

It is an object of the present invention to expand the area supporting the self-management process to not only self-management for skin diseases, but also skin care, health care, baby care for family or babies other than the person, pet care for companion animals, and the like.

An object of the present invention is to provide precautions or effective use of medical devices developed for home use, for example, wearable airbags for preventing falls of the elderly, wearable devices for monitoring vital signs of patients with underlying diseases, etc. Incorporating guiding information into the self-management process and effectively providing it to users.

It is an object of the present invention to effectively provide users with information guiding precautions or effective use for new products that are newly forming emerging markets, for example, LED masks for skin care, into a self-management process. will be.

An object of the present invention is to record and analyze the user's behavioral experience and/or the user's product use experience for the user's self-management, and the user's behavioral experience and/or the user's product use experience is the behavioral experience for self-management of others and/or to provide a service platform that can be shared by being recommended or suggested so as to improve the product use experience, application software therefor, and a method of supporting a self-management process based on the application software.

To this end, an object of the present invention is to support a user to conveniently record and store a user's behavioral experience and/or product use experience for self-management, and at least a part of the behavioral experience and/or product use experience is in a refined and organized format It is to provide a service platform that is stored in a (refined and organized format) and reconfigured to be shared with others, application software for it, and a method of supporting a self-management process based on the application software.

An object of the present invention is to support a user to modify, supplement, and customize the behavioral experience and/or product use experience for self-management, and to store the user's behavioral experience and/or product use experience in a refined and organized format To provide a service platform that provides a refined and organized user interface that can set detailed items to users through application software, application software for it, and a method to support a self-management process based on the application software will be.

The present invention has been derived to achieve the above object, and application software is installed in a computing device according to an embodiment of the present invention, the application software is executed by a processor inside the device, and the application software is executed can communicate with the analysis server via a communication network.

The device includes a menu for a user to select a category for setting a self-management process by execution of the application software by the processor, a menu for the user to set a routine of the self-management process, and a menu for the user to set a routine of the self-management process. Provides a menu to set detailed items.

The device generates, as user experience data for the self-management process of the user, a history in which the first routine set by the user is actually executed by the user by the execution of the application software by the processor.

The device transmits the user experience data to the analysis server via the communication network so that the user experience data can be shared with other users by the execution of the application software by the processor.

The user experience data is recorded as a sequence in which details in which the first routine is actually executed by the user are recorded based on a timeline, and the details in which the first routine is actually executed by the user in an order. It may be represented as context information including at least one or more of the information.

The user experience data is stored in the analysis server in association with personal characteristic information including at least one of the user's constitution, personal characteristics, environment, and lifestyle of the user, and is learned by the analysis server, 2 Based on the user's personal characteristic information and the learning result of the analysis server, at least one or more of the user experience data may be recommended or shared with the second user as appropriate user experience data.

The menu for setting the detailed item of the routine may be a menu in which candidates for the type of the detailed item are presented and the user can select any one of the candidates for the type of the detailed item. In this case, the menu for setting the detailed item of the routine is selected from among the temporal sequence of the detailed item, the duration of the detailed item, a specific product or action option related to the detailed item, the amount of the product, or the intensity of the action option. It may be a menu in which at least one or more candidates are presented, and the user can select any one of the at least one or more candidates.

A computing device according to another embodiment of the present invention may provide a menu for selecting a category of a search target self-management process by executing the application software by the processor.

In the device, at least one first user experience generated by the execution of the application software by the processor using a history of the actual execution of the search target self-management process by at least one first user within the category. The second user experience data extracted based on the degree of relevance between the data and the second user may be provided to the second user as a response to the search target self-management process.

The at least one or more first user experience data includes information recorded based on a timeline in which a history of the actual execution of the search target self-management process by the at least one or more first users, and the at least one or more first users A detail in which the search target self-management process is actually executed may be displayed as context information including at least one of information recorded as a sequence having an order.

The at least one or more first user experience data is associated with personal characteristic information including at least one or more of constitution, personal characteristics, environment, and lifestyle of the at least one or more first users, It may be stored in the analysis server and learned by the analysis server.

The second user experience data, which is extracted based on the degree of relevance between the at least one first user experience data and the second user, is obtained by executing the application software by the processor, including the personal characteristic information of the second user and the It may be extracted based on a degree of relevance between personal characteristic information associated with at least one or more first user experience data and a learning result of the analysis server.

The device analyzes user response data generated by receiving the second user's response to an element provided via a user interface by the execution of the application software by the processor, and personal characteristic information of the second user , the at least one first user experience data, and the second user experience data may be extracted based on an analysis result of the user response data of the second user.

The at least one or more first user experience data may be data generated using a history of actually executing at least one or more first routines customized for the search target self-management process by the at least one or more first users. .

The at least one first routine may include a temporal sequence of a sub-item within the at least one or more first routine, a duration of the sub-item, a specific product or action option related to the sub-item, an amount of the product, or an action option of the sub-item. It may be customized by the at least one first user, including at least one of the strengths.

A method of providing a self-management platform executed in a computing device according to an embodiment of the present invention includes a menu in which a user selects a category for setting a self-management process by the execution of the application software by the processor, the user providing a menu for setting a routine of the self-management process, and a menu for the user to set detailed items of the routine; A menu in which a user selects a category for setting a self-management process by the execution of the application software by the processor, a menu in which the user can set a routine of the self-management process, and a detailed item of the routine by the user setting a first routine of the self-management process based on the user's input to a configurable menu; generating user experience data for the self-management process of the user based on the details in which the first routine is actually executed by the user by the execution of the application software by the processor; and by the execution of the application software by the processor, transmitting the user experience data to the analysis server via the communication network so that the user experience data can be shared with other users.

A method of providing a self-management platform executed in a computing device according to an embodiment of the present invention includes providing a menu for selecting a category of a self-management process to be searched by execution of the application software by the processor; At least one first user experience data generated by the execution of the application software by the processor, and at least one first user experience data and second obtaining second user experience data extracted based on the degree of relevance between the two users; and providing the second user experience data to the second user as a response to the search target self-management process by the execution of the application software by the processor.

A server for providing a user experience-based self-management platform according to an embodiment of the present invention is disclosed. The server according to an embodiment of the present invention provides a menu for selecting a category of a search target self-management process via the device, and via the device, by at least one or more first users within the category. Extracting second user experience data based on the degree of relevance between at least one or more first user experience data and the second user generated using a history in which the search target self-management process is actually executed, and using the second user experience data as the provided to the second user via the device as a response to the search target self-management process.

According to the present invention, it does not stop at providing standardized and uniform self-management information as in the prior art, but information customized by a specific user actually used and experienced is recorded and stored, and a service platform and service platform that can be shared with others Application software for the service platform as a system supporting can It may also provide a method of sharing and recording user experiences that can be executed on mobile/computing terminals and/or analytics servers.

The present invention can record and analyze the user experience that the user actually experiences and customizes. In this case, the user's environment, the user's constitution, special circumstances, and lifestyle including the user's eating habits are extracted as personal characteristic information and may be added as information supplementing the user experience produced by the user.

In addition, the present invention receives and analyzes user response data that the user interacts with through the user interface, infers the current user's situation based on the user response data, and recommends or shares a user experience or product most suitable for the user's situation. have.

In order to effectively secure reference data for user experience, according to the present invention, it is possible to provide a user interface that can easily create and record a user experience. The user interface may include visual, auditory, and tactile effects, and may be provided to the user in a refined and organized format to improve user convenience.

According to the present invention, when a new product enters the market in addition to the previously known self-management products, the user experience of the new product can be quickly shared with others, and guide information including effective usage methods and precautions for the new product can be quickly provided. can be provided to users.

1 is a diagram illustrating a system for providing a user experience-based self-management platform according to an embodiment of the present invention.

2 is an embodiment of a user interface for selecting a category of a self-management process provided in a user experience-based self-management platform according to an embodiment of the present invention.

3 is an example of a user interface that displays the details of actually executing a routine of a self-management process provided in the user-experience-based self-management platform according to an embodiment of the present invention.

4 is an example of a user interface that can edit, execute, or refer to related information, a self-management process provided by the user experience-based self-management platform according to an embodiment of the present invention.

5 is an example of a user interface capable of creating and customizing a routine of a self-management process provided by the user experience-based self-management platform according to an embodiment of the present invention.

6 and 7 are an example of a product purchase user interface associated with a self-management process provided by the user experience-based self-management platform according to an embodiment of the present invention.

8 is an example of a user interface that can refer to another user's user experience provided by the user experience-based self-management platform according to an embodiment of the present invention.

9 is an embodiment of securing evaluation data for one's own user experience provided by the user experience-based self-management platform according to an embodiment of the present invention.

10 to 11 are examples of user interfaces that can refer to the user experience of others provided by the user experience-based self-management platform according to an embodiment of the present invention.

12 is a conceptual diagram illustrating various types of smart wearable devices that can operate in connection with a user experience-based self-management platform according to an embodiment of the present invention.

13 illustrates a process of inferring user experience data suitable for a user by using an artificial neural network in the analysis server and a process of inferring a recommended product suitable for a user by using an artificial neural network in the analysis server.

14 is an example of a visualization icon of a self-management process routine displayed on a user experience-based self-management platform according to an embodiment of the present invention.

15 is an example of a visualized icon of a self-management process routine displayed on a user experience-based self-management platform according to an embodiment of the present invention.

The present invention has been derived to achieve the above object, and application software is installed in a computing device according to an embodiment of the present invention, the application software is executed by a processor inside the device, and the application software is executed can communicate with the analysis server via a communication network.

The device includes a menu for a user to select a category for setting a self-management process by execution of the application software by the processor, a menu for the user to set a routine of the self-management process, and a menu for the user to set a routine of the self-management process. Provides a menu to set detailed items.

The device generates, as user experience data for the self-management process of the user, a history in which the first routine set by the user is actually executed by the user by the execution of the application software by the processor.

The device transmits the user experience data to the analysis server via the communication network so that the user experience data can be shared with other users by the execution of the application software by the processor.

The user experience data is recorded as a sequence in which details in which the first routine is actually executed by the user are recorded based on a timeline, and the details in which the first routine is actually executed by the user in an order. It may be represented as context information including at least one or more of the information.

The user experience data is stored in the analysis server in association with personal characteristic information including at least one of the user's constitution, personal characteristics, environment, and lifestyle of the user, and is learned by the analysis server, 2 Based on the user's personal characteristic information and the learning result of the analysis server, at least one or more of the user experience data may be recommended or shared with the second user as appropriate user experience data.

The menu for setting the detailed item of the routine may be a menu in which candidates for the type of the detailed item are presented and the user can select any one of the candidates for the type of the detailed item. In this case, the menu for setting the detailed item of the routine is selected from among the temporal sequence of the detailed item, the duration of the detailed item, a specific product or action option related to the detailed item, the amount of the product, or the intensity of the action option. It may be a menu in which at least one or more candidates are presented, and the user can select any one of the at least one or more candidates.

A computing device according to another embodiment of the present invention may provide a menu for selecting a category of a search target self-management process by executing the application software by the processor.

In the device, at least one first user experience generated by the execution of the application software by the processor using a history of the actual execution of the search target self-management process by at least one first user within the category. The second user experience data extracted based on the degree of relevance between the data and the second user may be provided to the second user as a response to the search target self-management process.

The at least one or more first user experience data includes information recorded based on a timeline in which a history of the actual execution of the search target self-management process by the at least one or more first users, and the at least one or more first users A detail in which the search target self-management process is actually executed may be displayed as context information including at least one of information recorded as a sequence having an order.

The at least one or more first user experience data is associated with personal characteristic information including at least one or more of constitution, personal characteristics, environment, and lifestyle of the at least one or more first users, It may be stored in the analysis server and learned by the analysis server.

The second user experience data, which is extracted based on the degree of relevance between the at least one first user experience data and the second user, is obtained by executing the application software by the processor, including the personal characteristic information of the second user and the It may be extracted based on a degree of relevance between personal characteristic information associated with at least one or more first user experience data and a learning result of the analysis server.

The device analyzes user response data generated by receiving the second user's response to an element provided via a user interface by the execution of the application software by the processor, and personal characteristic information of the second user , the at least one first user experience data, and the second user experience data may be extracted based on an analysis result of the user response data of the second user.

The at least one or more first user experience data may be data generated using a history of actually executing at least one or more first routines customized for the search target self-management process by the at least one or more first users. .

The at least one first routine may include a temporal sequence of a sub-item within the at least one or more first routine, a duration of the sub-item, a specific product or action option related to the sub-item, an amount of the product, or an action option of the sub-item. It may be customized by the at least one first user, including at least one of the strengths.

A method of providing a self-management platform executed in a computing device according to an embodiment of the present invention includes a menu in which a user selects a category for setting a self-management process by the execution of the application software by the processor, the user providing a menu for setting a routine of the self-management process, and a menu for the user to set detailed items of the routine; A menu in which a user selects a category for setting a self-management process by the execution of the application software by the processor, a menu in which the user can set a routine of the self-management process, and a detailed item of the routine by the user setting a first routine of the self-management process based on the user's input to a configurable menu; generating user experience data for the self-management process of the user based on the details in which the first routine is actually executed by the user by the execution of the application software by the processor; and by the execution of the application software by the processor, transmitting the user experience data to the analysis server via the communication network so that the user experience data can be shared with other users.

A method of providing a self-management platform executed in a computing device according to an embodiment of the present invention includes providing a menu for selecting a category of a self-management process to be searched by execution of the application software by the processor; At least one first user experience data generated by the execution of the application software by the processor, and at least one first user experience data and second obtaining second user experience data extracted based on the degree of relevance between the two users; and providing the second user experience data to the second user as a response to the search target self-management process by the execution of the application software by the processor.

A server for providing a user experience-based self-management platform according to an embodiment of the present invention is disclosed. The server according to an embodiment of the present invention provides a menu for selecting a category of a search target self-management process via the device, and via the device, by at least one or more first users within the category. Extracting second user experience data based on the degree of relevance between at least one or more first user experience data and the second user generated using a history in which the search target self-management process is actually executed, and using the second user experience data as the provided to the second user via the device as a response to the search target self-management process.

In addition to the above objects, other objects and features of the present invention will become apparent through the description of the embodiments with reference to the accompanying drawings.

A preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings. In describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

The smartphone application installation and login process presented in the prior document KR 10-2019-0057580, the process in which the service server presents various self-management items on the smartphone screen so that the user can set individual self-management items, the user repeats every day A user interface that supports inputting the memo content by shortening it to one time, a configuration in which the service server stores and manages the self-management records entered by the user and displays them in a daily chart, and the daily chart records are displayed in a calendar format A configuration visualized as an icon in a frame, a statistical processing configuration, etc. may be selectively integrated into the present invention, and at least a part thereof may be selectively integrated into the present invention as needed for the implementation of the present invention within the scope of not impairing the gist of the present invention.

In addition, the operation made between the connection and mutual operation of the mobile terminal, information communication network, management server, etc. used in the invention for providing skin care information presented in the prior document KR 10-2019-0110987 and managing the skin of members is the present invention At least a part thereof may be selectively integrated into the present invention as needed for the implementation of the present invention within the scope not detracting from the gist of the present invention.

According to an embodiment of the present invention, it does not stop at providing standardized and uniform self-management information as in the prior art, but information customized by a specific user actually used and experienced is recorded and stored, and a service that can be shared with others As a system supporting the platform and service platform, application software for the service platform, mobile/computing terminals where application software is installed and running, and analysis supporting a service platform that can analyze and share user experiences by interworking with mobile/computing terminals server can be provided. Methods for sharing and recording user experiences may also be provided that may be executed on mobile/computing terminals and/or analytics servers.

The self-management information obtained by combining the conventional techniques includes only basic information provided by the product producer, and in most cases, the basic information is not sufficient when the user actually uses it. In addition, self-management information found on the Internet, etc. may include specific information (for example, the order of actions to use the product, product usage, frequency of use, etc.) in addition to basic information, but Since only level information is provided, there is still not enough information about what environment the producer of the information used, and whether the producer's personal characteristic information and my personal characteristic information are similar so that I can share the user experience.

According to an embodiment of the present invention, the present invention can record and analyze the user experience that the user actually experienced and customized. At this time, the user's specific constitution such as allergy, special circumstances, user's lifestyle, and personal preference are extracted as personal characteristic information in which environment the user used it, and added as information supplementing the user experience produced by the user. can be

In addition, the present invention receives and analyzes user response data that the user interacts with through the user interface, infers the current user's situation based on the user response data, and recommends or shares a user experience or product most suitable for the user's situation. have.

The user experience that the user actually experiences and customizes can be considered verified in practice. The user experience actually used can be evaluated through direct data and indirect data, and the effectiveness of the self-management process shown by the user experience can be evaluated. can A user's direct review according to the user experience, an image of the skin condition in the case of skin care, and a change in health-related index in the case of health care can be directly given as data, and changes in the diary, memo, and activity amount appearing in the user's daily life , data that can be extracted based on changes in behavioral details, etc. may be given as indirect data.

In addition, if the recently developed data science and data analysis technology are applied to the reference data by securing such reference data, the present invention provides the user based on the current situation of the user, the user's personal characteristic information, and/or the user's usage history. may select, infer, extract, and/or generate a user experience of others, or a standardized and recommendable user experience that is most suitable for the user, and recommend or share the generated user experience to the user.

In order to effectively secure reference data for user experience, according to an embodiment of the present invention, it is possible to provide a user interface that can easily create and record a user experience. The user interface may include visual, auditory, and tactile effects, and may be provided to the user in a refined and organized format to improve user convenience.

According to the present invention, when a new product enters the market in addition to the previously known self-management products, the user experience of the new product can be quickly shared with others, and guide information including effective usage methods and precautions for the new product can be quickly provided. can be provided to users.

Hereinafter, an entire system including a computing device and an analysis server providing a self-management platform according to embodiments of the present invention will be described in detail with reference to FIGS. 1 to 15 .

1 is a diagram illustrating a system 100 for providing a user experience-based self-management platform according to an embodiment of the present invention.

Referring to FIG. 1 , a system 100 according to an embodiment of the present invention includes a first mobile/computing device 110a of a first user, a second mobile/computing device 110b of a second user, and an analytics server. (120). Each of the first mobile/computing device 110a and the second mobile/computing device 110b may communicate with the analytics server 120 via the communication network 130 .

For convenience of description, the first user is a user who creates a user experience for his/her self-management process and routine, and the second user is a user who is recommended or shared with other users' user experiences in order to find his/her self-management process and routine. Assume

In FIG. 1, the first mobile/computing device 110a and the second mobile/computing device 110b are shown, which are only embodiments for convenience of description, and the user can use a communication network ( It will be apparent to those skilled in the art that it can communicate with the analysis server 120 via 130) and use the user experience-based self-management platform of the present invention.

A process in which the first user joins or logs in to the platform provided by the analysis server 120 using the first mobile/computing device 110a, and/or the second user uses the second mobile/computing device 110b The process of joining or logging in to the platform provided by the analysis server 120 using the above-mentioned prior document KR 10-2019-0057580 and/or the prior document KR 10-2019-0110987 is facilitated by those skilled in the art through the process Since it can be implemented in a simple manner, a detailed description will be omitted.

The analysis server 120 of FIG. 1 may collect user experience data for the user through the artificial neural network learning/training process. Both the first user and the second user may transmit their personal characteristic information to the analysis server 120 via the mobile/computing devices 110a and 110b through a response to the survey.

The analysis server 120 may classify and store, for example, the personal characteristic information of the first user and the history of the first user executing the self-management process as user experience data for self-management. In addition, the analysis server 120 stores the personal characteristic information of the first user in association with the user experience data of the first user, thereby accumulating the personal characteristic information of the first user - user experience data as back data for supporting the self-management platform. can do.

The analysis server 120 collects personal characteristic information of a plurality of users, including the first user, and user experience data of a self-management process, and uses the collected data to personal characteristic information and user experience data through a machine learning training/learning process. relationship between them can be learned. Machine learning may be learning using an artificial neural network.

The self-management process may be composed of an action that the self-management process can perform and information on a product or tool closely related to the action. A self-management diagnostic item capable of diagnosing one's own state based on a state change over time may also be provided together with the self-management process.

Status change information includes changes in user preferences, changes in survey information different from when logging in for the first time, changes in skin photos collected through the camera, changes in skin types, changes in status in daily written diaries, and brand in product usage records. , may mean at least one or more of changes in components. The state change includes a negative change in addition to the positive change, for example, a change in the state of the skin.

Time change (time series information) means at least one of changed information such as time, date, and month at which a user records product use. Environmental change (environmental information) refers to changes in environmental factors around the user collected during the initial questionnaire information. For example, changes in personal information and products such as major areas visited, changes in work, changes in sleeping time, changes in living area, water intake, diet, weight, height, stress level, psychological status, marital status, pregnancy, etc. information It means at least one of product change information, such as price, past purchase history, product ingredients, safety information, and topical information (recent news or trend).

A user input to the devices 110a and 110b is monitored so that a user's preference or a user's interest details may be additionally supplemented with the personal characteristic information. For example, state change, time change, and environmental change information obtained from data collected from search history, questionnaire information, messages provided to individuals' social networks, etc., and/or sensor data, etc., are applied to natural language processing, time series analysis, artificial neural network, etc. Personal characteristic information can be supplemented by processing/analysis through based learning, etc. The supplemented personal characteristic information may intervene in a manner such as processing a search result or adjusting a priority when a user searches using the devices 110a and 110b.

The analysis server 120 may input the personal characteristic information of the second user, who is a new user, into the artificial neural network to infer excellent user experience data of others suitable for the second user. The inferred user experience data may be recommended to the second user, and through this, the analysis server 120 may support the self-management process of the second user.

In addition, as a result of the analysis server 120 analyzing the personal characteristic information and current user experience data of the second user in the process of collecting and tracking the user experience data of the second user, the second user rather than the current user experience data of the second user It is possible to infer the user experience data of others suitable for the user and recommend it as a self-management process of the second user.

When the analysis server 120 utilizes the artificial neural network for learning of personal characteristic information and user experience data, the process of classifying the user experience data of a high-age user from the personal characteristic information of a general user in consideration of data balance in one step Artificial neural networks can learn. In addition, as the next step, the artificial neural network can learn the process of classifying the user experience data of users in a higher risk group. As a final step, the artificial neural network of the analysis server 120 categorizes user experience data of users who are high-risk users, prevent accidents and risks by appropriately using smart wearable devices, and are successfully conducting self-management processes. You can also learn how to do it.

When the analysis server 120 utilizes the artificial neural network for learning of personal characteristic information and user experience data, a user of a user suffering from skin troubles in the personal characteristic information of a general user in consideration of data balance as a step of analysis A process of classifying empirical data may be learned. As a next step, a process of classifying user experience data of users suffering from more severe skin problems may be learned. As a final step, the process of classifying user experience data of users who are experiencing severe skin problems, overcoming skin problems and successfully self-care processes using smart wearable devices and/or appropriate skin care products, is learned. can be

At this time, the analysis server 120 provides the second user with the successful user experience data of others, and guides the second user with product information related to the successful user experience data, and provides a menu for purchasing the product to the second mobile device. It may be provided to the second user via the /computing device 110b.

The analysis server 120 may provide the successful user experience data of another person to the second user, and the scope of the provision may be limited by the setting of the producer who has produced the successful user experience data. Specifically, when the producer discloses some items of user experience data, conditionally discloses some items, and sets the remaining items to be private, the analysis server 120 uses the disclosed portion as an inference result by artificial neural network learning as the second Users can be given priority. When the second user desires to be provided with some items of conditionally disclosed user experience data of the producer, the analysis server 120 allows the second user to use their points via the second mobile/computing device 110b. Thus, it is possible to provide a purchase menu that allows the purchase of some conditionally disclosed items. In this case, the points paid by the second user are paid to the producer of the user experience data. As described above, a user interface that allows others to purchase user experience data produced by using the application of the present invention using points owned by other users may be embodied through FIG. 11, which will be described later.

2 is an embodiment of a user interface for selecting a category of a self-management process provided in a user experience-based self-management platform according to an embodiment of the present invention.

The user interface of FIG. 2 is common to a first user who creates a user experience for his or her self-management processes and routines or a second user who is recommended or shared with other users' user experiences in order to find his/her own self-management processes and routines. can be applied.

Referring to FIG. 2 , skin care (skin care) category menu 210, child care (baby care) category menu 220, pet care category menu 230, health care category menu 240, and bulletin board menu 250 ) is provided. The menu of FIG. 2 may further include sub-categories. For example, in the healthcare category, categories such as fitness, home training, medication management, disease management, and diet management may exist as sub-categories.

In the skin care category, the experience of using effective routines for dealing with skin troubles, effective routines for skin beauty, beauty products related to the routine, beauty devices such as LED masks, and tools for makeup or beauty are self-management processes. can form.

In the parenting category, use of formula or baby food products according to age, age, and growth stage, use of childcare assistance products such as diapers or walkers according to age, age and growth stage, and drugs that can be used when a baby/child is sick or injured Administration of treatment, implementation of home treatment methods, and routines to check health-related indicators that should be routinely implemented for the health of the baby/child can form a self-management process.

In the fitness or home training category, the use of specific exercise equipment or specific exercise sequences may shape the self-management process.

< Extracting customized user experience to users by using timeline and sequence-based context information >

3 is an example of a user interface that displays the details of actually executing a routine of a self-management process provided in the user-experience-based self-management platform according to an embodiment of the present invention.

Referring to FIG. 3 , the execution details of the routine are displayed on the calendar-based user interface. The user interface of FIG. 3 may also be commonly applied to the first user or the second user.

The daily chart 310 may be displayed by changing the color of the time period during which the routine is executed. For example, in the daily chart 310 of FIG. 3 , red indicates morning, blue indicates afternoon, and green indicates evening time.

At this time, the generated daily or timeline-based execution details are not displayed only for self-management, but are provided to the analysis server 120 and are provided in a refined and organized format that can be shared with others in the analysis server 120 . can be reconstructed. In this case, when the timeline-based execution history is refined and reconstructed in an organized format, this information will be expressed as 'context information' in the present application.

In the mobile and wearable devices installed with the application software of the present invention, the computing device, and/or the analysis server interworking with the mobile/computing devices, information on each constitution, personal characteristics, and lifestyle is provided in the form of a survey. to receive feedback from the user and store it as user personal characteristic information. The user's personal characteristic information may be input at the time of membership registration or login through mobile and wearable devices or computing devices, may be performed once at first, and may be periodically updated if necessary.

In the mobile and wearable devices installed with the application software of the present invention, the computing device, and/or the analysis server interworking with the mobile/computing devices, each individual's user experience may be recorded and stored as context information. The context information may mean information recorded based on a timeline and/or information recorded as a sequence having an order. That is, the mobile/computing device and/or analysis server of the present invention analyzes user personal characteristic information and context information to infer, recommend, or share the user experience (behavioral experience and/or product use experience) of others suitable for the user. can suggest

Referring back to FIG. 3 , when the execution menu 320 for executing the routine of the day is executed, the routine of the day may be provided together with the screen of FIG. 4 .

When the routine of the self-care process induces the consumption of a specific product (which may mean the consumption of cosmetics or beauty products, the case where a product with a use limit or durability expires, etc.), insufficient product purchase menu (350) ) to move the products that have become insufficient based on the number of times or durability, etc., to a menu where you can purchase them all at once or for each product. In this case, convenience information related to the purchase and promotion information may be provided together.

4 is an example of a user interface that can edit, execute, or refer to related information, a self-management process provided by the user experience-based self-management platform according to an embodiment of the present invention.

Although skin care is presented as a main example in FIG. 4 , as described above, the present invention can be applied to various self-care processes other than skin care.

The timer 410 is a menu that records the time for executing the routine of the self-management process and displays it on the calendar.

The camera menu 420 is a menu associated with a camera shooting function to compare and record state changes before and after executing the routine.

The share and bulletin board menu 430 is a menu associated with a bulletin board sharing function that can share a currently executed routine or view and store another user's routine.

The task cell 440 is a detailed item constituting the routine of the self-management process, and is a unit constituting the routine. The menu for setting the task cell 440 is a menu for setting detailed items of a routine. Task categories, names and types of related products, elapsed time and images of products can be presented. By executing task cell 440, the routine corresponding to task cell 440 is executed, time notification menu 460 indicates summarized information and elapsed time of the currently executed routine, and when stop menu 460a is selected, The routine is judged to be aborted or terminated and the elapsed time count is stopped. To the right of the task cell 440 , information 440a of a product to which the task cell 440 is closely related may be provided.

The gesture of left swiping 450 on the task cell 440 further provides a sub menu 450a. Additional functions for the routine, editing of the routine, list of related products, direct purchase function of related products, and the like may be provided by the auxiliary menu 450a.

Referring back to FIG. 3 , when the routine creation menu 330 is selected, a user interface for creating a routine is provided together with the screen of FIG. 5 .

5 is an example of a user interface capable of creating and customizing a routine of a self-management process provided by the user experience-based self-management platform according to an embodiment of the present invention.

The total number of steps of one's own routine may be set and displayed by the step setting menu 510 .

A detailed routine may be provided by each detailed routine setting menu 520 . At this time, the user can set the detailed items of the routine to customize his or her own routine, and the temporal order of the detailed items, the duration of the detailed items, and the selection of specific products related to the detailed items (skin care, medication, use of beauty equipment) ), or the intensity of an action option (home training, fitness) may present candidates for at least one or more. In this case, the presented candidate may be selectively presented in relation to the category of the self-management process selected by the user. In the case of behavior options related to health care, childcare care, and pet care, duration and intensity may be combined or displayed separately.

In FIG. 5, an example of a skin care category is shown, and in the skin care category, specific detailed items such as cleansing, skin trouble response, basic makeup, and color makeup constituting the routine, that is, the type of task cell, can be set in advance. can For example, if the user selects the first task cell of the routine for cleansing and then selects an empty task cell of the routine to designate the second task cell, candidates for the type of task cell prepared in advance are presented.

A menu may be provided for searching and inputting a user's product by searching for a task category and cosmetics or beauty equipment corresponding to the task.

3 and 5 , each time a routine is executed and recorded a specific number of times or for a specific time, reward points are accumulated, and the reward points may be guided through the reward point menu 340 of FIG. 3 .

3 to 5 , in the process of customizing the detailed items of the routine, the user may customize the temporal order of the detailed items, the duration of the detailed items, and a specific product related to the detailed items. Also, as shown in FIG. 5 , while designating a specific routine, a product used by the routine may be designated. As for the product used by the routine, the UI of the present invention may provide a candidate group, the user may select from the provided candidate group, and if the product desired by the user is not in the candidate group, the product may be added through an Internet search or the like.

Routine details may be specified by behavior options rather than products. For example, an act of washing face, etc. may belong to this category. Alternatively, in a category other than skin care, walking of a dog, exercise for health management, etc. may be provided as action options.

The details of the routine actually executed may be generated as user experience data. The user experience data may include at least one or more of information in which details of an actual execution of the routine are recorded based on a timeline, and information recorded as a sequence in which details in which the routine is actually executed by the user are recorded.

For example, in the case of skin care, a specific usage of the user may be recorded as user experience data, such as using a combination of specific cosmetics, using a combination of cosmetics in a specific order, or using a specific routine for a certain period of time or longer. .

In other categories, the effect of the sequence between specific routines, whether the specific routine continues for a certain time or more, etc. on the final self-management effect can be analyzed by the analysis server 120 in connection with the user experience data, and the user's Based on the personal characteristic information, user experience data and effects resulting therefrom may be analyzed in association. In this process, good user experience data can be shared and provided to others to support others' self-management processes.

When the routine is associated with a specific product, the usage of the product, the options that can be selected in the process of using the product, the strength of the options, etc. may be recorded in detail in the user experience data. Since the self-management platform of the present invention records user experience data in detail, information on related products can be stored together. For this reason, the self-management platform of the present invention divides and stores whether it is related to a product when generating user experience data as a separate item, and when learning user experience data, the existence of a related product and the degree of relevance of the product can learn together. Therefore, when recommending another person's excellent user experience data, a product closely related to the recommended user experience data can be recommended together.

When a routine is associated with a particular product, that product generates user experience data with the routine and is identified with the routine by the analytics server 120 .

For example, LED masks that are effective for skin care, wearable healthcare devices that can measure vital signs beneficial for health care, airbag-based smart hip protection that detect the risk of falls in the elderly and prevent injuries from falls, and The same smart wearable device may be rewarded with reward points according to its usage time and frequency of use, and the user may be encouraged to use these devices in a specific case by the reward points.

Referring again to FIG. 4 , if a menu 440a in which product information related to the execution of the routine 440 is selected is selected, a page for purchasing a corresponding product or adding it to a shopping cart may be moved.

When the sub menu 450a is displayed through the routine swipe gesture 450 and “Buy Now” is selected from the sub menu 450a, the product can be moved to a page where the product can be directly purchased.

When the routine 440 is executed and the routine execution time 460 proceeds, the user may give a command such as start or end through voice in addition to a touch, and the device may recognize the voice and stop or proceed with the next routine. At this time, depending on what the user is doing, the voice recognition function may be very useful when the hands are dirty or inconvenient.

Although not shown in FIG. 4 , an automatic mode setting menu for automatically performing a series of continuous routines may be provided according to an exemplary embodiment. While the auto-advance mode is in progress, the auto-advance mode may be stopped through voice recognition or input of the stop menu 460a. In this case, the automatic mode may be performed automatically by setting a time interval between detailed items.

3 to 4 , when a specific routine uses a specific product, a function of predicting consumption of the product may be provided. In this case, the user may input the available number of times or the period of use, or the available number of times may be calculated based on the amount entered into the routine and the capacity of the product. When the product is consumed, the insufficient product purchase menu 350 may be provided on the screen of FIG. 3 before entering the screen of FIG. 4 .

< Purchasing interface for products related to routines >

6 and 7 are an example of a product purchase user interface associated with a self-management process provided by the user experience-based self-management platform according to an embodiment of the present invention.

6 and 7 , related product information is provided along with the number of purchasing users, the number of evaluation score reviews, and prices, and a menu for shopping related category products is provided in response to a swipe gesture.

The screen of FIG. 6 may be displayed when a related product of the routine is selected from the screen of FIG. 4 . If the routine page menu 610 of FIG. 6 is selected, the previous routine page menu of FIG. 4 may be revisited.

The right swipe gesture 620 leads to an operation of adding the corresponding product to the shopping cart. If you select the shopping cart menu 630, you can visit the shopping cart page.

The left swipe gesture 640 is a menu for withholding judgment on the corresponding product and selecting the next product, or for deleting the corresponding product from the list. In this case, a menu for temporarily suspending judgment on a corresponding product and a menu for requesting deletion of a corresponding product from the list may be separately implemented more specifically than those shown in FIG. 6 .

Also in FIG. 6 , the reward points currently owned by the user are displayed in the reward point menu 650 , and it is possible to determine whether to purchase the corresponding product with the points.

The immediate purchase menu 660 may lead to a purchase of a corresponding product.

7 is a view showing a shopping cart page. If the shopping cart page is visited by selecting the shopping cart menu 630 in FIG. 6 , if the previous page menu 710 is selected, the previous screen of FIG. 6 is displayed again. Also in FIG. 7, reward points are displayed for purchase (720). The left and right swipe gestures 730 and 730a guide to display other products stored in the shopping cart. The full purchase menu 740 is connected to the function of purchasing all products in the shopping cart at once, and the direct purchase menu 750 is connected to the function of directly purchasing the currently displayed product.

The delete menu 760 may lead to a function of deleting the currently displayed product from the shopping cart.

< Extracting customized user experience using user response data for elements on the user interface >

8 is an example of a user interface that can refer to another user's user experience provided by the user experience-based self-management platform according to an embodiment of the present invention.

The user may visit the page of FIG. 8 to refer to user experience data of others by using a predetermined menu (not shown in FIG. 4 ) in the routine page of FIG. 4 .

Based on the user's personal characteristic information and the user's user experience data so far, user experience data of others recommended to be suitable for the user, that is, the routine of the other person may be displayed through FIG. 8 . In this case, in FIG. 8 , a routine currently displayed through the swipe gesture 810 may be suspended and another routine may be searched for.

In the mobile and wearable devices installed with the application software of the present invention, the computing device, and/or the analysis server interworking with the mobile/computing devices, input using a user interface (UI) provided to the user by the mobile/computing device Data that is received and stored based on user interaction, that is, when the user selects or does not select a specific element among the currently displayed UI elements, or wants to withhold judgment on a specific element or remove a specific element. Receive user input/interaction according to the situation, such as time, as the user's response data, and analyze the user's response data through the UI to infer the user experience (behavioral experience and/or product use experience) of others suitable for the user, You can recommend or suggest to share.

At this time, based on the type of UI, the situation in which the UI is provided, and the type of the user's response to the UI, the user's response data is divided into an active response and a passive response, and the user's response data is learned or inferred based on the response data. The learning engine and application software may be designed such that, when performed, an active response or a passive response is taken into account. Examples of positive responses include selection and/or deletion of specific elements displayed through the UI (products, routines, other users' experiences, other users' reviews of specific products/routines/user experiences), and passive Examples of the response may include a case in which judgment on the specific element displayed through the UI is deferred or simply not selected.

In the learning and inference process, the design of the learning engine is made as follows. The learning engine is generally implemented in the analysis server, but depending on the type of artificial neural network, at least some of the functions of the learning engine are transferred or copied to mobile and wearable devices, so that the mobile and wearable devices analyze at least a part of the learning process. It can also be performed in collaboration with or on behalf of the analytics server.

Information including the user's characteristics and constitution, for example, user personal characteristic information including the user's feedback on the user's characteristics and constitution, such as questionnaire information, is included as one aspect of the learning data for the learning engine.

User experience data (behavioral experience and/or product use experience) is also included as one aspect of the learning data for the learning engine.

The learning engine learns the relationship between user personal characteristic information and user experience data. In this process, an artificial neural network or the like may be utilized, and input data and target data of the learning engine may be determined from user personal characteristic information and user experience data based on a special structure of the artificial neural network. Artificial neural networks that can be utilized include convolutional neural networks (CNNs), recurrent neural networks (RNNs), LSTMs, reinforcement learning and/or transfer learning, which are recently used. It may be designed by including or combining one or more of these.

In the learning process, some of user personal characteristic information, context information (information recorded based on a timeline and/or information recorded as a sequence having an order), user response data via the UI, and user experience data or It can be designed to learn the relationship between everything. In the learning process, the user's personal characteristic information is stored in the analysis server through the mobile/computing device, and the user's personal characteristic information is considered as important data not only in the learning process but also in the inference process.

After the learning engine performs learning by the analysis server alone or by cooperation between the analysis server and the mobile/computing device, the context information for self-management input by the user is transferred to the learning engine (where learning is performed) via the mobile/computing device. ), the learning engine predicts the most suitable user experience information for the user through inference, and the predicted user experience information is recommended, shared, or shared with the user through the application software and/or platform of the present invention. can be

After the learning engine performs learning, even when the user response data via the UI is transmitted to the learning engine via the mobile/computing device, the learning engine predicts and predicts the most suitable user experience information for the user through inference. The user experience information may be recommended, shared, or proposed to be shared with a user through the application software and/or platform of the present invention.

Referring again to FIG. 8 , the routine view menu 820 may be used to display detailed items of a currently displayed routine.

The user may refer to another person's routine already stored through the stored routine view menu 830 . The search menu 840 is a menu for searching for routines of others.

The action of storing the routine of another person displayed based on the user's personal characteristic information, the user's experience data so far, and the user's response data to the menu/UI, not the pre-stored routine, is to be executed by the save menu 850 . can

In this case, the user can use the points he has in order to refer to the routine of others. In addition, a producer who has produced successful user experience data and routines can receive points as a reward in return for sharing their successful user experience data with others.

9 is an embodiment of securing evaluation data for one's own user experience provided by the user experience-based self-management platform according to an embodiment of the present invention.

Referring to FIG. 9 , by executing the camera menu 420 of FIG. 4 , a function for securing current state evaluation data of the skin care self-management process by the camera may be executed. A picture before and after execution of the user's self-management process may be taken by using the shooting button 910 of FIG. 9 . The completion menu 920 allows the user to revisit the routine page of FIG. 4 .

10 to 11 are examples of user interfaces that can refer to the user experience of others provided by the user experience-based self-management platform according to an embodiment of the present invention.

When the stored routine view menu 830 in FIG. 8 is executed, the screen of FIG. 10 is displayed. 10 shows another person's SNS and a routine provided by the SNS.

In the screen of FIG. 10 , an account identification screen 1010 and a star rating 1020 of the SNS may be provided. The detailed item of the routine may be displayed by selecting the detailed item menu 1030 .

By executing the follow menu 1040 , the producer of the currently displayed routine may be followed, and other stored routines may be searched through the stored routine view menu 1050 .

The screen of FIG. 11 is displayed in which the user can refer to the routine of another person by using the stored routine view menu 1050 . A sub menu 1110 is displayed through a swipe gesture by selecting one of the stored routines, and by executing function buttons in the sub menu 1110, a related routine can be viewed or a routine can be purchased.

In FIGS. 8 and 11 , the routines of others can be briefly viewed, and in FIG. 10 , a user interface through which the routines of others can be viewed in relatively detail is illustrated.

Users can filter, process, or edit their routines to create their own routine information that can be shared with others on the experience sharing platform.

For example, the routine details actually performed by the user are filtered using criteria such as date, time zone, day of the week, product, service, or routine category related to the routine, and routines that meet certain conditions are collected and shared with others. You can create shared routine data that can do that. In this case, the filtering condition may be manipulated by the user to be applied by a combination of at least one of time (date, month, day, hour, minute), product, service, learning and work-related task, physical activity, or routine category.

A specific brand and product may be combined and applied as a filtering condition, or shared routine data may be generated by filtering the history of performing a specific product or service based on each category or type of user experience.

For example, it is possible to filter according to combinations of (skin care category) and (March to April) and (9 to 10) and (moisture cream) and (specific brand).

The device may provide a menu to the user so that the user can perform the filtering operation, and in response, assist the user to manipulate the filtering condition for the user to generate their own shared routine data.

Alternatively, the user may generate shared routine data by filtering a routine including a specific type of task cell among routines actually performed by the user.

The user may name the routine data by a specific name in consideration of the theme of the routine data filtered and processed or edited using a specific condition. In this case, the user may adjust some of the routines that meet the filtering conditions not to be shared with others, or may set a specific routine not to be shared with others from the beginning.

For example, it is theme sharing routine data that is generated so that a whitening routine performed in the morning, an acne management routine that can be performed while traveling, etc. can be shared with others by this method.

The analysis server 120 may provide a user menu through the device so that the user may combine filtering conditions to generate his/her own filtered shared routine data. The shared routine data generated by the user is stored in the analysis server 120 and may be shared with others when a condition for sharing with others is satisfied.

12 is a diagram illustrating examples of various smart wearable devices capable of supporting a self-management platform in connection with machine learning-based artificial intelligence according to an embodiment of the present invention.

Referring to FIG. 12 , a smart watch 1210 , a smart band 1220 worn on the ankle, smart shoes 1230 , a headset 1240 , a smart hip protection/airbag 1250 , etc. are shown as examples of smart wearable devices. do.

The smart wearable devices shown in FIG. 12 collect information about a user's behavior, movement path, biosignals, and/or user's lifestyle, and analyze or infer information for self-management of the user in conjunction with a computing device. can

For example, the smart watch 1210, the smart band 1220, the smart shoes 1230, the headset 1240, etc. collect data such as the user's behavior, exercise habit, and movement route, and collect the user's bio-signals and By analyzing it, as a self-management process suitable for the user, it is possible to suggest to the user an appropriate exercise guideline, a movement route that induces walking in a short distance, and the like.

For user safety, smart devices may detect a user's fall or fall by collecting and analyzing inertial sensor data, and may operate the smart hip protection/airbag 1250 in response thereto.

FIG. 12 shows that the airbag 1250 may have the same shape as the deployed airbag 1250a when the airbag 1250 is operated and deployed. The smart hip protection/airbag 1250 is to protect the human body from falling, and can be worn on the human body through an external case that can be attached to the waist of the human body. The smart hip protection/airbag 1250 includes a sensor that detects the movement of the human body and determines whether or not a fall has occurred. It can be shaped to protect the human body. In particular, the deployed airbag 1250a surrounds the hip and hip joint to prevent injury to the hip joint region from the impact of a fall. Such a smart hip protection/airbag 1250 can clearly understand the operation principle of those skilled in the art from the information disclosed in Korean Patent Application Laid-Open No. KR 10-2014-0119529 "Human body protection device, and operation control system and method thereof".

The self-management platform of the present invention may extract the user's constitution, special situation, and lifestyle including the user's eating habits as personal characteristic information of the user by analyzing the pre-question survey or collected data.

The self-management platform of the present invention may recommend a product such as the smart hip protection/airbag 1250 to the user based on the user experience of others when the user is an elderly person or a high-risk group with a high probability of falling. In addition, it is possible to recommend another user's experience based on the user's personal characteristic information, and to support the user to proceed with the self-management process based on the excellent user experience of the other person.

For example, if the self-management platform recognizes through a smart device that a user classified as a high-risk group for falls based on personal characteristic information has an intention to go out, a notification recommending wearing the smart hip protection/airbag (1250) product can be provided through a smart device. Or, by tracking the user's schedule and the user's daily lifestyle recorded on the smart device, predicts the time when the user is most likely to go out, and sends a smart notification recommending wearing the smart hip protection/airbag (1250) product at that time. It can be provided through the device.

In addition, if it is predicted as the time to start external activities such as jogging, walking, and simple exercise in consideration of the user's recorded schedule and the user's daily lifestyle, the self-management platform recommends wearing an appropriate smart wearable device, biosignals and movement path It can initiate communication with a smart wearable device to collect data about it.

For wearable devices, the smart phone or smart device application software automatically recognizes information such as wearing status and wearing time using short-distance communication such as Wi-Fi or Bluetooth, and the recognized information is added as an aspect of user experience data. can be

The sensor data of the wearable device includes a gyroscope, an accelerometer, an altitude sensor, a pressure sensor, a proximity sensor, a rotation sensor, and a gravity sensor ( Gravity, rotation angular velocity sensor, and sensor data using sensors such as a step counter may be used to identify the user's motion. In this case, the rotation, gravity, and angular sensors may be implemented as virtual sensors if necessary.

The self-management platform provided by the device and the server of the present invention may accumulate and share user experience data in a direction to induce wearing of the wearable device. For example, an LED mask that assists in skin beauty, a smart hip protection/airbag that prevents injury due to a fall, and a wearable device that measures bio-signals may be mentioned. A business model for inducing wear of the wearable device may be implemented in a manner that provides reward points according to the wear time and frequency of the wearable device.

In this case, if the wearable device is worn for an excessively long time, there is a possibility of causing a skin disease. In addition, since the wearable device can be worn again if sufficient recovery time is given to the skin, it is possible to provide a guide to wear the wearable device again after a certain period of time has elapsed after releasing the wearable device.

The analysis server 120 that provides the self-management platform may set the user experience data so that, when the user's routine is an action of wearing the wearable device, the user experience data includes the duration of a state in which the wearable device is actually worn. . By wearing the wearable device, the user may obtain successful user experience data such as health, beauty, learning, or achievement in work, and such successful user experience data may be shared with others to encourage wearing of the wearable device. In addition, reward points based on the number of times and/or time of wearing the wearable device may be given to the user, and these reward points may be a motivation to induce the user to wear the wearable device.

The analysis server 120 that provides the self-management platform sets the user experience data to include a duration in which the user experience data actually uses the specific product or service, when the user's routine is a routine using a specific product or service. can Users can obtain successful user experience data such as health, beauty, learning, or achievement in work by using a specific product or service, and such successful user experience data can be shared with others to encourage them to use a specific product or service. can In addition, reward points based on the number of times and/or time of using a specific product or service may be given to the user, and the reward points may be a motivation to induce the user to use the specific product or service.

When the user's routine is a routine for performing a task related to learning or work, the analysis server 120 that provides the self-management platform maintains a state in which user experience data actually performs a task related to learning or work. User experience data can be set to include time. While performing a task related to learning or work, the user may acquire knowledge related to learning or work, increase learning or work competency, and have time for self-development for learning or work. Such successful user experience data may be shared with others to induce them to perform tasks related to learning or work. Meanwhile, a task related to learning or work may have a wide variety of levels of difficulty according to a user's current situation and a goal of learning or work. Accordingly, a reward point may be given to the user based on the number of times, the time to perform, and/or the difficulty of the task to perform a task related to learning or work, and these reward points are a motivation to induce the user to perform a task related to learning or work could be

When the user's routine is a routine for performing a specific physical activity, the analysis server 120 that provides the self-management platform sets the user experience data to include the duration of the state in which the user experience data actually performs the specific physical activity. can The user can regain excellent physical strength and health, and restore self-confidence while actually performing a specific physical activity. You can also lead a satisfying life with a healthy body. Such successful user experience data may be shared with others to induce them to perform specific physical activities. Meanwhile, physical activity may have a wide variety of levels of difficulty according to the user's current situation and characteristics of physical activity. In addition, the congenital physique or constitution can also affect the difficulty of physical activity. Accordingly, the user may be given reward points based on the number of times the physical activity is performed, the time to perform, and/or the difficulty of the physical activity, and these reward points may be a motivation to induce the user to perform the physical activity. In addition, in the routine for performing physical activity, the difficulty or performance of the physical activity may be affected according to the interval between unit physical activities defined by the detailed item/task cell. can be given to the user based on

On the other hand, the category of the self-management process includes skin care, health care, fitness, and home care (meaning home care, care for patients and babies in the home, and also cleaning the inside of the house, etc.) included), animal and plant care (caring for pets and companion plants), study, schedule management, asset management, emergency management, task performance for self-development related to work/learning, physical activity, and the like.

The category of the self-management process is not limited to the above-listed embodiments, and may correspond to all fields of self-management in which a sequence is repeatedly performed. It can be applied including concepts such as construction, HW/SW design and development, meeting, inspection, landscaping care, security, disaster response, training, travel, cooking, shopping, writing, hobby management, sleep management, etc.

In addition, the category of self-management process can provide motivation to oneself through the successful experiences of others, or can induce people to improve their convenience, enjoy pleasure, and live a better life based on the successful experiences of others. If it relates to a self-management routine that exists, the self-management platform of the present invention may be applied.

13 illustrates a process of inferring user experience data suitable for a user by using an artificial neural network in the analysis server and a process of inferring a recommended product suitable for a user by using an artificial neural network in the analysis server.

As an input of the artificial neural network 1310 , personal characteristic information of a user is given. As mentioned above, the personal characteristic information may include questionnaire information, and may include information about status changes.

A process of providing a menu for selecting a category of a search target self-management process via the device disclosed in the embodiment of FIGS. 2 to 11 , and a search target self-management process by at least one first user within the category via the device Extracting second user experience data based on the degree of relevance between at least one or more first user experience data and the second user generated using the history in which the management process is actually executed, and searching the second user experience data for the self-management process A process of providing to the second user via the device in response to , may be executed by the analysis server in connection with the artificial neural network 1310 of FIG. 13 .

At least one or more first user experience data disclosed in the embodiment of FIGS. 2 to 11 are information recorded based on a timeline in which a self-management process to be searched is actually executed by at least one or more first users, and at least one The process of generating the first user experience data to include context information including at least one or more of the information recorded as a sequence in which the details of the actual execution of the search target self-management process by the first user have an order is shown in FIG. 13 . It may be executed by the analysis server in connection with the artificial neural network 1310 .

The at least one or more first user experience data disclosed in the embodiment of FIGS. 2 to 11 includes at least one or more of constitution, personal characteristics, environment, and lifestyle of at least one or more first users. a process of storing in association with the personal characteristic information of And the process of extracting the second user experience data based on the relationship between the at least one or more personal characteristic information of the first user associated with the at least one or more first user experience data is also linked to the artificial neural network 1310 of FIG. 13 to the analysis server can be implemented by

A process of generating user response data by receiving a response from a second user to an element provided via the user interface of the device by the execution of application software by the device disclosed in the embodiment of FIGS. 2 to 11 , the second user A process of extracting a candidate of the second user experience data based on the degree of relevance between the personal characteristic information and the at least one first user experience data, and a second user experience from among the candidates of the second user experience data based on the user response data The process of extracting data may also be executed by the analysis server in connection with the artificial neural network 1310 of FIG. 13 .

A process of receiving, via a device, a detail in which at least one or more first routines customized for the search target self-management process by at least one or more first users disclosed in the embodiment of FIGS. 2 to 11 are actually executed, and at least one The process of generating at least one or more first user experience data using the history in which the above first routine is actually executed may also be executed by the analysis server in connection with the artificial neural network 1310 of FIG. 13 .

At least one or more first routines disclosed in the embodiment of FIGS. 2 to 11 indicate the temporal sequence of the sub-items in the at least one or more first routines, the duration of the sub-items, the specific product or action option related to the sub-items, and the amount of products. Alternatively, the process of being customized by at least one or more first users via the device including at least one of the intensity of the action option may also be executed by the analysis server in connection with the artificial neural network 1310 of FIG. 13 .

The artificial neural network 1310 may train a process of predicting the relation between the given personal characteristic information and user experience data. When the new user's personal characteristic information is given to the trained artificial neural network 1310, user experience data of others suitable for the new user may be inferred.

The artificial neural network 1310 of FIG. 13 trains a process of deriving successful user experience data of a user who has the personal feature information from the user's personal feature information, and in the process, the prediction model of the classifier is It is possible to extract several factors that make up the user's successful user experience data. For example, the predictive model of the classifier can extract detailed processes and detailed routines constituting the user's successful user experience data, and can also derive products that have contributed greatly to deriving the user's successful user experience data. can The successful user experience data of others in the field of application of the present invention can motivate new users themselves. A process of inducing a motivation to promote a new user's personal improvement from another's successful experience (a process of predicting the most appropriate user experience information of another user from the new user's individual characteristic information) may be performed by the artificial neural networks 1310 . have.

14 is an example of a visualized icon of a self-management process routine displayed on a user experience-based self-management platform according to an embodiment of the present invention.

When a user selects a detailed item to create a routine in FIG. 5 , candidates that can be selected as the detailed items may be displayed as text or a visualized icon.

The visualized icons of FIG. 14 may include detailed items such as a wearable device such as an LED mask, aroma therapy, cleansing, UV lotion, and the like.

15 is an example of a visualized icon of a self-management process routine displayed on a user experience-based self-management platform according to an embodiment of the present invention.

15 shows an example of a routine in the healthcare/fitness category, each routine is intuitively identifiable, and the duration, intensity/load, etc. of each routine can be adjusted using a visualized icon.

The method according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

However, the present invention is not limited or limited by the examples. Like reference numerals in each figure indicate like elements. Length, height, size, width, etc. introduced in the embodiments and drawings of the present invention may be exaggerated to help understanding.

As described above, the present invention has been described with specific matters such as specific components and limited embodiments and drawings, but these are provided to help a more general understanding of the present invention, and the present invention is not limited to the above embodiments. , various modifications and variations are possible from these descriptions by those of ordinary skill in the art to which the present invention pertains.

Therefore, the spirit of the present invention should not be limited to the described embodiments, and not only the claims to be described later, but also all those with equivalent or equivalent modifications to the claims will be said to belong to the scope of the spirit of the present invention. .

A computing capable device that provides a user experience-based self-management platform is disclosed. A computing device according to an embodiment of the present invention provides a menu for a user to select a category for setting a self-management process, a menu for the user to set a routine for the self-management process, and a detailed description of the routine by the user providing a menu for setting items, and generating a history in which a first routine set by the user is actually executed by the user as user experience data for the self-management process of the user, and the user experience data is different communicates the user experience data to the analytics server via the communication network so that it can be shared with the user.

Claims (20)

In the device capable of computing, application software is installed in the device, the application software is executed by a processor inside the device, and the device can communicate with the analysis server via a communication network by the execution of the application software , A menu in which a user selects a category for setting a self-management process by the execution of the application software by the processor, a menu in which the user can set a routine of the self-management process, and a detailed item of the routine by the user Provides a menu that can be set, By the execution of the application software by the processor, the first routine set by the user is actually executed by the user as user experience data for the self-management process of the user; By executing the application software by the processor, transmitting the user experience data to the analysis server via the communication network so that the user experience data can be shared with other users Computable devices that provide a user experience-based self-management platform. According to claim 1, The user experience data is recorded as a sequence in which details in which the first routine is actually executed by the user are recorded based on a timeline, and the details in which the first routine is actually executed by the user in an order. indicated as context information including at least one or more of the information Computable devices that provide a user experience-based self-management platform. According to claim 1, The user experience data is stored in the analysis server in association with personal characteristic information including at least one of the user's constitution, personal characteristics, environment, and lifestyle of the user, and is learned by the analysis server, 2 Based on the user's personal characteristic information and the learning result of the analysis server, at least one or more of the user experience data is recommended or shared to the second user as suitable user experience data Computable devices that provide a user experience-based self-management platform. According to claim 1, The menu for setting the detailed item of the routine is a menu in which candidates for the type of the detailed item are presented and the user can select any one of the candidates for the type of the detailed item, The menu for setting the detailed item of the routine is at least one of a temporal sequence of the detailed item, a duration of the detailed item, a specific product or action option related to the detailed item, the amount of the product, or the intensity of the action option. It is a menu in which one or more candidates are presented, and the user can select any one of the at least one or more candidates. Computable devices that provide a user experience-based self-management platform. In the device capable of computing, application software is installed in the device, the application software is executed by a processor inside the device, and the device can communicate with the analysis server via a communication network by the execution of the application software , providing a menu for selecting a category of a self-management process to be searched by execution of the application software by the processor; At least one first user experience data generated by the execution of the application software by the processor, and at least one first user experience data and second providing the second user experience data extracted based on the degree of relevance between the two users to the second user as a response to the search target self-management process Computable devices that provide a user experience-based self-management platform. 6. The method of claim 5, The at least one or more first user experience data includes information recorded based on a timeline in which a history of the actual execution of the search target self-management process by the at least one or more first users, and the at least one or more first users The details of the actual execution of the search target self-management process are indicated as context information including at least one of information recorded as a sequence having an order Computable devices that provide a user experience-based self-management platform. 6. The method of claim 5, The at least one or more first user experience data is associated with personal characteristic information including at least one or more of constitution, personal characteristics, environment, and lifestyle of the at least one or more first users, Stored in the analysis server and learned by the analysis server, The second user experience data extracted based on the degree of relevance between the at least one first user experience data and the second user may include: By the execution of the application software by the processor, the second user's personal characteristic information and the at least one or more first user experience data are extracted based on the degree of relevance between the personal characteristic information and the learning result of the analysis server Computable devices that provide a user experience-based self-management platform. 6. The method of claim 5, By the execution of the application software by the processor, the user response data generated by receiving the second user's response to the element provided via the user interface is analyzed and the personal characteristic information of the second user, the at least extracting the second user experience data based on at least one first user experience data, and an analysis result of the user response data of the second user Computable devices that provide a user experience-based self-management platform. A method of providing a self-management platform that is executed in a computing device, wherein application software is installed in the device, the application software is executed by a processor inside the device, and the application software is analyzed via a communication network by the execution of the application software A method of providing a self-management platform running on the device capable of communicating with a server, the method comprising: A menu in which a user selects a category for setting a self-management process by the execution of the application software by the processor, a menu in which the user can set a routine of the self-management process, and a detailed item of the routine by the user providing a menu that can be set; A menu in which a user selects a category for setting a self-management process by the execution of the application software by the processor, a menu in which the user can set a routine of the self-management process, and a detailed item of the routine by the user setting a first routine of the self-management process based on the user's input to a configurable menu; generating user experience data for the self-management process of the user based on the details in which the first routine is actually executed by the user by the execution of the application software by the processor; and transferring the user experience data to the analysis server via the communication network so that the user experience data can be shared with other users by the execution of the application software by the processor; A method of providing a user experience-based self-management platform comprising a. A method of providing a self-management platform that is executed in a computing device, wherein application software is installed in the device, the application software is executed by a processor inside the device, and the application software is analyzed via a communication network by the execution of the application software A method of providing a self-management platform running on the device capable of communicating with a server, the method comprising: providing a menu for selecting a category of a search target self-management process by execution of the application software by the processor; At least one first user experience data generated by the execution of the application software by the processor, and at least one first user experience data and second obtaining second user experience data extracted based on the degree of relevance between the two users; and providing the second user experience data to the second user as a response to the search target self-management process by the execution of the application software by the processor; A method of providing a user experience-based self-management platform comprising a. A server, comprising: a server capable of communicating via a communication network with a computing device on which application software is installed and executed, the server comprising: providing a menu for selecting a category of a self-management process to be searched via the device; Via the device, at least one or more first user experience data generated using the history of the actual execution of the search target self-management process by the at least one first user in the category and the degree of relevance between the second user extracting second user experience data based on the second user experience data, and providing the second user experience data to the second user via the device as a response to the search target self-management process A server that provides a user experience-based self-management platform. 12. The method of claim 11, Information in which the at least one or more first user experience data is recorded based on a timeline of the actual execution of the search target self-management process by the at least one or more first users, and the at least one or more first users Generating the first user experience data to include context information including at least one or more of information recorded as a sequence in which the details of the actual execution of the search target self-management process have an order A server that provides a user experience-based self-management platform. 12. The method of claim 11, The at least one or more first user experience data is associated with personal characteristic information including at least one of constitution, personal characteristics, environment, and lifestyle of the at least one or more first users, save, learning a relationship between the at least one or more first user experience data and the personal characteristic information of the at least one or more first users; generating the second user experience data based on a relationship between the personal characteristic information of the second user and the personal characteristic information of the at least one or more first users associated with the at least one or more first user experience data by using the learning result to extract A server that provides a user experience-based self-management platform. 12. The method of claim 11, generating user response data by receiving a response of the second user to an element provided via a user interface of the device by the execution of the application software by the device; extracting a candidate of the second user experience data based on the degree of relevance between the personal characteristic information of the second user and the at least one first user experience data; extracting the second user experience data from candidates of the second user experience data based on the user response data; A server that provides a user experience-based self-management platform. 12. The method of claim 11, Receive, via the device, a detail in which at least one or more first routines customized for the search target self-management process are actually executed by the at least one or more first users, generating the at least one or more first user experience data using a history in which the at least one or more first routines are actually executed A server that provides a user experience-based self-management platform. 16. The method of claim 15, The at least one first routine may include a temporal sequence of a sub-item within the at least one or more first routine, a duration of the sub-item, a specific product or action option related to the sub-item, an amount of the product, or an action option of the sub-item. customized by the at least one first user via the device including at least one or more of A server that provides a user experience-based self-management platform. 12. The method of claim 11, Third user experience data when the second user wears the wearable device is generated; By way of the device, reward points are paid to the second user based on the number of times the wearable device is worn, and the time the wearable device is worn, indicated by the third user experience data. A server that provides a user experience-based self-management platform. 12. The method of claim 11, Third user experience data when the second user uses the product or service is generated; Compensation points are paid to the second user based on the number of times the product or service is used, and the time the product or service is used, indicated by the third user experience data. A server that provides a user experience-based self-management platform. A method of providing a self-management platform running on a server, comprising: providing a menu for selecting a category of a search target self-management process via the device; receiving the selected category of the search target self-management process via the device; Based on the degree of relevance between the second user and at least one first user experience data generated by the server by using the history of the actual execution of the search target self-management process by at least one first user in the category to extract second user experience data; and providing, by the server, the second user experience data to the second user via the device as a response to the search target self-management process; A method of providing a user experience-based self-management platform comprising a. 20. The method of claim 19, In the server, the at least one or more first user experience data is information recorded based on a timeline in which the search target self-management process is actually executed by the at least one or more first users based on a timeline, and the at least one or more generating the first user experience data to include context information including at least one or more of information recorded as a sequence in which the details of the actual execution of the search target self-management process by the first user are ordered; A method of providing a user experience-based self-management platform further comprising a.

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