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WO2024236642A1 - Dispositif de traitement d'informations, programme, système de traitement d'informations et procédé de traitement d'informations - Google Patents

Dispositif de traitement d'informations, programme, système de traitement d'informations et procédé de traitement d'informations Download PDF

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Publication number
WO2024236642A1
WO2024236642A1 PCT/JP2023/017929 JP2023017929W WO2024236642A1 WO 2024236642 A1 WO2024236642 A1 WO 2024236642A1 JP 2023017929 W JP2023017929 W JP 2023017929W WO 2024236642 A1 WO2024236642 A1 WO 2024236642A1
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WIPO (PCT)
Prior art keywords
user
option
evaluation
information
options
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PCT/JP2023/017929
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English (en)
Japanese (ja)
Inventor
渉 佐々木
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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Priority to PCT/JP2023/017929 priority Critical patent/WO2024236642A1/fr
Priority to JP2024519437A priority patent/JP7774720B2/ja
Publication of WO2024236642A1 publication Critical patent/WO2024236642A1/fr
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models

Definitions

  • This disclosure relates to an information processing device, a program, an information processing system, and an information processing method.
  • Patent Document 1 describes a selection consideration support system that includes an importance estimation means for estimating how important each evaluation item in a field of consideration is, and a recommendation calculation means for calculating how much each selection candidate can be recommended to a considerr, based on evaluation data for each evaluation item for each selection candidate and the considerr's importance for each evaluation item estimated by the importance estimation means. This makes it possible to support the considerr in making decisions that are in line with their level of importance.
  • one or more aspects of the present disclosure aim to reduce the burden on users in inputting information related to review support.
  • the information processing device is characterized by comprising an acquisition unit that acquires consideration information indicating the content of consideration carried out between a first user and a second user to select one option from a plurality of options, and a specific control unit that estimates one option selected by the first user from the plurality of options as a first inferred option based on personal characteristics of the first user, and estimates one option selected by the second user from the plurality of options as a second inferred option based on personal characteristics of the second user.
  • a program causes a computer to function as an acquisition unit that acquires consideration information indicating the content of consideration made between a first user and a second user to select one option from a plurality of options, and a specific control unit that infers one option to be selected by the first user from the plurality of options as a first inferred option based on personal characteristics of the first user, and infers one option to be selected by the second user from the plurality of options as a second inferred option based on personal characteristics of the second user.
  • the information processing system includes an acquisition unit that acquires consideration information indicating the content of consideration carried out between a first user and a second user to select one option from a plurality of options, and a specific control unit that estimates one option selected by the first user from the plurality of options as a first inferred option based on personal characteristics of the first user, and estimates one option selected by the second user from the plurality of options as a second inferred option based on personal characteristics of the second user.
  • An information processing method is characterized in that it acquires consideration information indicating the content of consideration carried out between a first user and a second user to select one option from a plurality of options, and estimates one option selected by the first user from the plurality of options as a first inferred option based on personal characteristics of the first user, and estimates one option selected by the second user from the plurality of options as a second inferred option based on personal characteristics of the second user.
  • FIG. 1 is a block diagram illustrating an overview of a configuration of an information processing system according to a first embodiment.
  • 1 is a block diagram illustrating a schematic configuration of a personal characteristics estimation device.
  • FIG. 1 is a block diagram showing a schematic configuration of a computer.
  • FIG. 2 is a block diagram illustrating a configuration of a review acquisition device.
  • 1 is a block diagram illustrating a schematic configuration of a rating acquisition device.
  • FIG. 2 is a block diagram showing a schematic configuration of a terminal.
  • 1 is a block diagram illustrating a schematic configuration of an information processing device according to a first embodiment.
  • 10 is a schematic diagram showing an example of a personal characteristic information management table;
  • FIG. 13 is a schematic diagram illustrating an example of a consideration information management table.
  • FIG. 4 is a schematic diagram illustrating an example of an evaluation information management table.
  • FIG. 4 is a schematic diagram showing an example of an evaluation estimation table in the first embodiment.
  • 4 is a sequence diagram showing an example of an operation performed between the information processing device and the personal characteristic estimation device in the first embodiment.
  • 4 is a sequence diagram showing an example of an operation performed between the information processing device and the consideration acquisition device in the first embodiment.
  • FIG. 4 is a sequence diagram showing an example of an operation performed between the information processing device and the evaluation acquisition device in the first embodiment.
  • FIG. 4 is a flowchart showing an outline of an operation performed by a specific control unit of the information processing device.
  • 13 is a flowchart showing an example of an estimated evaluation estimation process according to the first embodiment.
  • FIG. 10 is a flowchart showing an example of a voluntary evaluation input process according to the first embodiment
  • 11 is a flowchart showing an example of a process for recommending empathy evaluation items according to the first embodiment.
  • FIG. 11 is a block diagram illustrating a schematic configuration of an information processing device according to a second embodiment.
  • FIG. 11 is a block diagram illustrating an overview of a configuration of an information processing system according to a third embodiment.
  • FIG. 11 is a block diagram illustrating a configuration of an external environment acquisition device according to a third embodiment.
  • FIG. 11 is a block diagram illustrating a schematic configuration of an information processing device according to a third embodiment.
  • FIG. 13 is a schematic diagram showing an example of an evaluation estimation table in the third embodiment.
  • FIG. 11 is a schematic diagram illustrating an example of an external environment information management table.
  • 13 is a sequence diagram showing an example of an operation performed between an information processing device and an external environment acquisition device in embodiment 3.
  • FIG. 13 is a flowchart illustrating an example of an estimated evaluation estimation process according to the third embodiment.
  • FIG. 13 is a block diagram illustrating a schematic configuration of an information processing device according to a fourth embodiment. 13 is a flowchart showing an example of a voluntary evaluation input process according to the fourth embodiment;
  • FIG. 1 is a block diagram showing an outline of a configuration of an information processing system 100 according to the first embodiment.
  • the information processing system 100 includes a personal characteristic estimation device 110 , a consideration acquisition device 120 , an evaluation acquisition device 130 , a terminal 140 , and an information processing device 150 .
  • the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, the terminal 140, and the information processing device 150 communicate with each other via a network 101 such as the Internet.
  • the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, the terminal 140, and the information processing device 150 can be connected to the network 101 wirelessly.
  • the personal characteristic estimation device 110 is a device that estimates personal characteristics.
  • Personal characteristics are characteristics related to an individual. For example, personal characteristics consist of multiple values corresponding to multiple types such as gender, age, and personality. In the following description, the types of personal characteristics are assumed to be gender, age, and personality. Note that personality may include multiple types.
  • Personality may be represented, for example, by the Big Five personality traits, also known as the Five-Factor Model.
  • the Big Five personality traits are represented by openness, conscientiousness, extraversion, agreeableness, and neuroticism.
  • Openness represents the degree of preference for new experiences or diversity. Openness may also be rephrased as openness to experience. Conscientiousness represents the degree of ambition, achievement-oriented tendency, or tendency to prefer planned behavior. Conscientiousness may also be rephrased as conscientiousness.
  • Extraversion represents the degree of preference for socializing or conversation with others.
  • Agreeableness represents the degree of tendency to be cooperative with others. Agreeableness may also be rephrased as agreeableness or affiliation.
  • Neuroticism represents the degree of tendency to be an unstable personality and to easily experience unpleasant emotions. Instead of neuroticism, personality may be represented by emotional stability.
  • the personality is represented by parameters for openness, conscientiousness, extraversion, agreeableness, and neuroticism.
  • personality may also be represented by the degree of each of openness, conscientiousness, extraversion, agreeableness, and neuroticism.
  • personality may be represented as high openness or low openness.
  • the Big Five personality traits are described in Reference 1 below.
  • personality may be expressed by a parameter indicating the strength of self-control.
  • Self-control is the pursuit of desirable behavior and the suppression of undesirable behavior by one's own will when faced with temptation or impulse. Self-control is described in the following literature 2.
  • personality may be represented by parameters defined in the field of psychology.
  • FIG. 2 is a block diagram showing a schematic configuration of the individual characteristic estimation device 110.
  • the individual characteristic estimation device 110 includes a communication unit 111 , an information acquisition unit 112 , and an individual characteristic estimation unit 113 .
  • the communication unit 111 performs communication via the network 101 .
  • the information acquisition unit 112 acquires information on the personal characteristics, which is information necessary for estimating the personal characteristics, from the terminal 140 via the communication unit 111.
  • the acquired information on the personal characteristics is provided to the personal characteristic estimation unit 113.
  • the information on personal characteristics may be, for example, questionnaire response information indicating answers to a questionnaire from which at least one of gender, age, and personality can be estimated.
  • the information on personal characteristics may also be image information indicating still or video images of an individual.
  • the information on personal characteristics may also be audio information recording the individual's voice.
  • the information on personal characteristics may also be history information indicating the individual's approved purchase history or website viewing history.
  • the information on personal characteristics may also be the individual's posting history on a social networking service (SNS).
  • SNS social networking service
  • the information on personal characteristics may be such that the sex, age, and personality of an individual can be estimated by combining the information exemplified above.
  • the information on the personal characteristics includes a user ID, which is identification information for identifying an individual user.
  • the personal characteristic estimation unit 113 estimates personal characteristics from information related to the personal characteristics.
  • the personal characteristic estimation unit 113 estimates the gender, age, and personality of an individual.
  • the personal characteristic estimation unit 113 can estimate the gender, age, and personality of an individual by inputting information related to the personal characteristics into a learning model.
  • the individual characteristic estimation unit 113 may estimate the individual's personality based on the history of the individual's input of "Likes” or the like on the SNS, or the history of the individual's postings on the SNS. Such estimation is described in the following literature 3.
  • the personal characteristic estimation unit 113 generates personal characteristic information indicating the user ID and the estimated gender, age, and personality of the individual, and sends the personal characteristic information to the information processing device 150 via the communication unit 111.
  • the above-described individual characteristic estimation device 110 can be configured, for example, by a computer 10 as shown in FIG.
  • FIG. 3 is a block diagram showing a schematic configuration of the computer 10.
  • the computer 10 includes a non-volatile memory device 11 , a volatile memory device 12 , a processor 13 , a communication I/F (InterFace) 14 , an input device 15 , and a display 16 .
  • I/F InterFace
  • the nonvolatile storage device 11 is an auxiliary storage device of the information processing device 150.
  • the nonvolatile storage device 11 is a hard disk drive (HDD) or a solid state drive (SSD).
  • the volatile storage device 12 is a main storage device of the information processing device 150.
  • the volatile storage device 12 is a RAM (Random Access Memory).
  • the processor 13 controls the entire information processing device 150.
  • the processor 13 is a central processing unit (CPU) or a field programmable gate array (FPGA), etc.
  • the processor 13 may be a multiprocessor.
  • computer 10 may include processing circuitry for performing specific processing.
  • the communication I/F 14 is connected to the network 101 and performs communication via the network 101 .
  • the input device 15 is a device such as a keyboard, a mouse, and a microphone that accepts input from a user.
  • the display 16 is a device that displays various screens. The input device 15 and the display 16 may be, for example, a touch panel.
  • the information acquisition unit 112 and the individual characteristic estimation unit 113 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.
  • a program may be provided via the network 101, or may be provided in a form recorded on a recording medium. That is, such a program may be provided as, for example, a program product.
  • the communication unit 111 can be realized by the communication I/F 14 .
  • the study acquisition device 120 is a device that acquires information related to studies.
  • FIG. 4 is a block diagram showing a schematic configuration of the review acquisition device 120. As shown in FIG.
  • the review acquisition device 120 includes a communication unit 121 and an information acquisition unit 122 .
  • the communication unit 121 performs communication via the network 101 .
  • the information acquisition unit 122 acquires information regarding the study from the terminal 140 via the communication unit 121 .
  • the information about the study is, for example, text information or audio information that can identify the user ID, the study name, options, and evaluation items.
  • the user ID is user identification information for identifying the user performing the review.
  • the study name is the name of the study as study identification information for identifying the item to be studied. Options are options to consider.
  • An evaluation item is an item that evaluates options when making a review.
  • the information acquisition unit 122 sends the consideration information indicating the user ID, the consideration name, the options, and the evaluation items to the information processing device 150 via the communication unit 121.
  • the user ID, the consideration name, the options, and the evaluation items indicated in the consideration information are also referred to as the contents of the consideration.
  • consideration information indicating the contents of the consideration conducted between the first user and the second user to select one option from multiple options may be sent to the information processing device 150.
  • the above-described review acquisition device 120 can be configured, for example, by a computer 10 as shown in FIG.
  • the information acquisition unit 122 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.
  • the communication unit 121 can be realized by the communication I/F 14 .
  • the evaluation acquisition device 130 is a device that acquires information related to evaluations.
  • FIG. 5 is a block diagram showing a schematic configuration of the evaluation acquisition device 130. As shown in FIG.
  • the evaluation acquisition device 130 includes a communication unit 131 and an information acquisition unit 132 .
  • the communication unit 131 performs communication via the network 101 .
  • the information acquisition unit 132 acquires information related to the evaluation from the terminal 140 via the communication unit 131 .
  • the information regarding the evaluation is, for example, text information or audio information capable of identifying the user ID, the name of the study, the evaluation item, the options, and the evaluation.
  • the evaluation is information indicating that a user identified by a user ID has evaluated an evaluation item in an option in a study identified by a study name.
  • the information acquisition unit 132 sends evaluation information indicating the user ID, the review name, the evaluation items, the options, and the evaluation to the information processing device 150 via the communication unit 131.
  • the evaluation indicated in the evaluation information is also called a voluntary evaluation
  • the options indicated in the evaluation information are also called a self-selected option.
  • the evaluation acquisition device 130 described above can be configured, for example, by a computer 10 as shown in FIG.
  • the information acquisition unit 132 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.
  • the communication unit 131 can be realized by the communication I/F 14 .
  • terminal 140 is a device used by a user.
  • FIG. 6 is a block diagram showing a schematic configuration of the terminal 140. As shown in FIG.
  • the terminal 140 includes a communication unit 141 , an input unit 142 , a display unit 143 , and a processing unit 144 .
  • the communication unit 141 performs communication via the network 101 .
  • the input unit 142 accepts input from the user.
  • the display unit 143 displays various screens.
  • the processing unit 144 controls the processing in the terminal 140 .
  • the processing unit 144 displays the necessary screen on the display unit 143 and receives the necessary information via the input unit 142, thereby generating information regarding personal characteristics, information regarding consideration, and information regarding evaluation.
  • the processing unit 144 sends information regarding the personal characteristics to the personal characteristic estimation device 110 via the communication unit 141, sends information regarding the consideration to the consideration acquisition device 120 via the communication unit 141, and sends information regarding the evaluation to the evaluation acquisition device 130 via the communication unit 141.
  • the terminal 140 described above can be configured, for example, by a computer 10 as shown in FIG.
  • the processing unit 144 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.
  • the communication unit 141 can be realized by the communication I/F 14 .
  • the input unit 142 can be realized by the input device 15 .
  • the display unit 143 can be realized by the display 16 .
  • FIG. 7 is a block diagram illustrating a schematic configuration of information processing device 150 according to the first embodiment.
  • the information processing device 150 includes a storage unit 160 , a communication unit 170 , an acquisition unit 171 , and a specific control unit 172 .
  • the storage unit 160 stores information necessary for processing by the information processing device 150 .
  • the storage unit 160 stores a personal characteristic information management table 161 , a consideration information management table 162 , an evaluation information management table 163 , and an evaluation estimation table 164 .
  • the personal characteristic information management table 161 is personal characteristic management information for managing personal characteristic information. For example, when the acquisition unit 171 receives personal characteristic information from the personal characteristic estimation device 110 via the communication unit 170, it registers the content indicated by the personal characteristic information in one record (in other words, one row) of the personal characteristic information management table 161.
  • FIG. 8 is a schematic diagram showing an example of the individual characteristic information management table 161.
  • the individual characteristic information management table 161 has a user ID column 161a, a gender column 161b, an age column 161c, and a personality column 161d.
  • the user ID column 161a stores the user ID.
  • the gender column 161b stores the gender of the user identified by the user ID.
  • the age column 161c stores the age of the user identified by the user ID.
  • the personality column 161d stores the personality of the user identified by the user ID.
  • FIG. 8 shows that the gender corresponding to user ID "A” is “male,” the age is “40 years old,” and the personality traits are openness “Oa1,” conscientiousness “Ca1,” extroversion “Ea1,” agreeableness “Aa1,” and neuroticism “Na1.”
  • FIG. 8 shows that the gender corresponding to user ID "B" is “female,” the age is “20 years old,” and the personality traits are openness “Ob1,” conscientiousness “Cb1,” extroversion “Eb1,” agreeableness “Ab1,” and neuroticism “Nb1.”
  • the review information management table 162 is review management information for managing review information. For example, when the acquisition unit 171 receives review information from the review acquisition device 120 via the communication unit 170, it registers the content indicated in the review information in one record (in other words, one row) of the review information management table 162.
  • FIG. 9 is a schematic diagram showing an example of the consideration information management table 162.
  • the consideration information management table 162 includes a user ID column 162a, a consideration name column 162b, an option column 162c, and an evaluation item column 162d.
  • the user ID column 162a stores the user ID of the user conducting the review.
  • the study name column 162b stores the name of a study performed by a user identified by a user ID.
  • the option column 162c stores options that are considered by a user identified by a user ID.
  • the evaluation item column 162d stores evaluation items in the consideration made by the user identified by the user ID.
  • the user IDs are registered as “A, B”
  • the study name is “air conditioning temperature setting”
  • the options are “20°C, 23°C, 25°C”
  • the evaluation items are "comfort, humidity, electricity cost”.
  • the number of users may be one or two, or may be three or more.
  • the evaluation information management table 163 is evaluation management information for managing evaluation information. For example, when the acquisition unit 171 receives evaluation information from the evaluation acquisition device 130 via the communication unit 170, the specific control unit 172 registers corresponding information in the evaluation information management table 163 based on the content indicated by the evaluation information.
  • the evaluation information management table 163 may be generated for each study identified by a study name.
  • FIG. 10 is a schematic diagram showing an example of the evaluation information management table 163.
  • the evaluation information management table 163 has a review name column 163a, an evaluation item column 163b, an option column 163c, an evaluation column 163d, and an empathy column 163e.
  • the study name column 163a stores the study name that identifies the study.
  • the evaluation item column 163b stores evaluation items in a study identified by the study name.
  • the option column 163c stores options in a study identified by the study name.
  • the evaluation column 163d stores, for each user ID for identifying a user who performs a study identified by a study name, a user's evaluation of an option in the study identified by the study name in an evaluation item.
  • the review name "air conditioning setting temperature” is reviewed between a user identified by a user ID "A” and a user identified by a user ID "B” shown in the evaluation column 163d.
  • a circle is stored in the column of the user ID "A" in the evaluation column 163d, it indicates that the user identified by the user ID "A" evaluates the options in the same row with the evaluation items in the same row.
  • the sympathy column 163e stores whether or not all users who are performing the study identified by the study name have evaluated, or are presumed to have evaluated, the options in the same row with the evaluation items in the same row.
  • a circle is stored in the sympathy column 163e, it indicates that all users who are performing the study identified by the study name have evaluated, or are presumed to have evaluated.
  • all users' ratings in the rating column 163d are either a circle or a star, a circle is stored in the likes column 163e of that row.
  • the option “20°C” for the evaluation item “Comfort” corresponding to the study name “Air conditioning temperature setting” is shown to be evaluated by a user identified by user ID “A” based on personal characteristics.
  • the option “23°C” for the evaluation item “Comfort” corresponding to the study name “Air conditioning temperature setting” was evaluated independently by both the user identified by user ID “A” and the user identified by user ID “B”, and was determined to be relatable.
  • the option “25°C” for the evaluation item “Comfort” corresponding to the study name "Air conditioning temperature setting” indicates that the user identified by user ID "B” is estimated to evaluate it based on personal characteristics.
  • the rating estimation table 164 stores estimated ratings indicating options that are estimated to be rated by the user according to a combination of the study name, the evaluation item, and the personal characteristic.
  • FIG. 11 is a schematic diagram showing an example of the evaluation estimation table 164. As shown in FIG. The evaluation estimation table 164 has a study name column 164a, an evaluation item column 164b, an individual characteristic column 164c, and an estimated evaluation column 164d.
  • the study name column 164a stores the study name that identifies the study.
  • the evaluation item column 164b stores evaluation items in a study identified by the study name.
  • the personal characteristic column 164c stores the personal characteristics of the user for which an estimated evaluation is performed. Here, the personal characteristics are specified by the type and value of the personal characteristic.
  • the estimated evaluation column 164d stores an estimated evaluation indicating an option that is estimated to be evaluated by the user according to a combination of the study name, the evaluation item, and the personal characteristic.
  • FIG. 11 shows that for the evaluation item “comfort” of the study name “air conditioning temperature setting”, if the user's gender among his/her personal characteristics is “male”, then the option “20°C” is estimated to be evaluated.
  • the estimation here may be performed using, for example, a learning model learned by machine learning. It is preferable that the estimation using the learning model is performed in advance in the specific control unit 172 of the information processing device 150, and the result is stored in the evaluation estimation table 164. It is preferable that the specific control unit 172 performs estimation using the learning model when an estimated evaluation is required.
  • the communication unit 170 performs communication via the network 101 .
  • the acquisition unit 171 acquires various types of information via the communication unit 170 and stores the acquired information in the storage unit 160 .
  • the acquisition unit 171 acquires personal characteristic estimation information from the personal characteristic estimation device 110 via the communication unit 170. Then, the acquisition unit 171 adds a new record to the personal characteristic information management table 161, and stores the user ID, gender, age, and personality indicated in the acquired personal characteristic estimation information in the user ID column, gender column 161b, age column 161c, and personality column 161d of that record, respectively.
  • the acquisition unit 171 also acquires the review information from the review acquisition device 120 via the communication unit 170.
  • the acquisition unit 171 then adds a new record to the review information management table 162, and stores the user ID, review name, options, and evaluation items indicated in the acquired review information in the user ID column 162a, review name column 162b, option column 162c, and evaluation item column 162d of that record, respectively.
  • the acquisition unit 171 acquires evaluation information from the evaluation acquisition device 130 via the communication unit 170.
  • the acquired evaluation information is provided to the specific control unit 172.
  • the identification control unit 172 identifies information that will assist the user in conducting a review for each review managed in the review information management table 162.
  • the identification control unit 172 when supporting consideration between a first user and a second user, infers one option that the first user would select from multiple options as a first inferred option based on the personal characteristics of the first user, and infers one option that the second user would select from multiple options as a second inferred option based on the personal characteristics of the second user. Then, the specific control unit 172 causes the communication unit 170 to transmit information indicating the first inferred option to the terminal 140 used by the first user, and transmit information indicating the second inferred option to the terminal 140 used by the second user.
  • the identification control unit 172 identifies the matching option as an empathy evaluation item when either the first inferred option or the first self-selected option matches either the second inferred option or the second self-selected option. Then, the identification control unit 172 causes the communication unit 170 to transmit information indicating the empathy evaluation items to the terminal 140 used by the first user and the terminal 140 used by the second user.
  • the specific control unit 172 refers to the evaluation estimation table 164, which is evaluation estimation information indicating, as an estimated evaluation, an option estimated to be selected by a user whose personal characteristics include at least one value corresponding to at least one of the multiple types, and when the personal characteristics of the first user include the at least one value, the specific control unit 172 estimates, as the first estimated option, the option indicated by the estimated evaluation corresponding to the at least one value. Similarly, when the personal characteristics of the second user include the at least one value, the specific control unit 172 estimates, as the second estimated option, the option indicated by the estimated evaluation corresponding to the at least one value.
  • the identification control unit 172 identifies one record from the consideration information management table 162 for which a corresponding evaluation information management table 163 has not yet been generated, stores the consideration name, options, and evaluation items stored in the identified record in the consideration name column 163a, option column 163c, and evaluation item column 163b, respectively, and generates an evaluation column 163d corresponding to the user ID stored in the identified record, thereby generating the evaluation information management table 163.
  • the identification control unit 172 also identifies from the personal characteristic information management table 161 the personal characteristics of the user identified by the user ID included in the record identified from the consideration information management table 162. If there is an estimated evaluation in the evaluation estimation table 164 that corresponds to the study name and evaluation item included in the record identified from the consideration information management table 162 and the personal characteristics identified from the personal characteristic information management table 161, the identification control unit 172 stores a star in the corresponding column of the evaluation information management table 163 according to the estimated evaluation.
  • the specific control unit 172 when the specific control unit 172 acquires evaluation information from the evaluation acquisition device 130, it stores the evaluation indicated by the evaluation information in the evaluation column 163d of the record corresponding to the user ID, study name, evaluation item, and option indicated by the evaluation information in the evaluation information management table 163 corresponding to the study name indicated by the evaluation information.
  • the specific control unit 172 stores a circle in the corresponding column.
  • the specific control unit 172 stores a circle in the sympathy column 163e of the record in the evaluation information management table 163 corresponding to the study name indicated by the evaluation information, in which either a circle or a star is stored in the column corresponding to all user IDs included in the evaluation column 163d.
  • the identification control unit 172 generates consideration support information indicating the consideration name, evaluation items, and options of a record in the evaluation information management table 163 in which a circle is stored in the empathy column 163e, and sends the consideration support information via the communication unit 170 to the terminal 140 used by a user identified by the user ID included in the record identified from the consideration information management table 162. It is assumed that, for each user ID, the communication address of the terminal 140 used by the user identified by that user ID is stored in the storage unit 160 .
  • the information processing device 150 described above can be configured, for example, by a computer 10 as shown in FIG.
  • the acquisition unit 171 and the specific control unit 172 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.
  • the storage unit 160 can be realized by the non-volatile storage device 11 or the volatile storage device 12 .
  • the communication unit 170 can be realized by the communication I/F 14 .
  • the information processing device 150 acquires personal characteristic information from the personal characteristic estimation device 110 and stores the personal characteristic information in a personal characteristic information management table 161.
  • the information processing device 150 acquires consideration information from the consideration acquisition device 120 and stores the consideration information in a consideration information management table 162.
  • the information processing device 150 acquires evaluation information from the evaluation acquisition device 130 and generates an evaluation information management table 163 based on the evaluation information, the consideration information management table 162, and the evaluation estimation table 164.
  • the information processing device 150 uses the evaluation information management table 163 to identify options evaluated by all users participating in the consideration as empathy evaluation items.
  • the information processing device 150 transmits information indicating the empathy evaluation items to the terminal 140.
  • the operation of the information processing system 100 will now be described in detail.
  • FIG. 12 is a sequence diagram showing an example of an operation performed between the information processing device 150 and the individual characteristic estimation device 110 in the first embodiment.
  • the information acquisition unit 112 of the personal characteristic estimation device 110 acquires information on the personal characteristics via the communication unit 111 (S10).
  • the user inputs necessary information to the terminal 140
  • the information acquisition unit 112 acquires the information on the personal characteristics from the terminal 140.
  • the information on the personal characteristics is information required to estimate the personal characteristics.
  • the information on the personal characteristics includes the user ID of the user.
  • the personal characteristics are the gender, age, and personality of the user.
  • the information acquiring unit 112 may acquire information on the personal characteristics from a device other than the terminal 140. For example, information on the personal characteristics stored in a storage server such as a cloud (not shown) may be acquired.
  • the personal characteristic estimation unit 113 of the personal characteristic estimation device 110 estimates the personal characteristics of the user based on the information on the personal characteristics acquired in step S10 (S11). For example, the personal characteristic estimation unit 113 may estimate the personal characteristics of the user by inputting the information on the personal characteristics into a learning model.
  • the personal characteristic estimation unit 113 generates personal characteristic information indicating the estimated personal characteristics and the user ID, and sends the personal characteristic information to the information processing device 150 via the communication unit 111 (S12).
  • the acquisition unit 171 of the information processing device 150 acquires the personal characteristic estimation information via the communication unit 170, and stores the user ID, gender, age, and personality indicated in the personal characteristic estimation information in the personal characteristic information management table 161 (S13).
  • FIG. 13 is a sequence diagram showing an example of an operation performed between the information processing device 150 and the review acquisition device 120 in the first embodiment.
  • the information acquisition unit 122 of the study acquisition device 120 acquires information related to the study via the communication unit 121 (S20). For example, a user inputs necessary information to the terminal 140, and the information acquisition unit 122 acquires the information related to the study from the terminal 140.
  • the information acquisition unit 122 may acquire information related to the study from a device other than the terminal 140. For example, information related to the study stored in a storage server such as a cloud (not shown) may be acquired.
  • the information acquisition unit 122 generates consideration information indicating the user ID, the consideration name, the options, and the evaluation items based on the information related to the consideration, and sends the consideration information to the information processing device 150 via the communication unit 121 (S21).
  • the acquisition unit 171 of the information processing device 150 acquires the consideration information via the communication unit 170, and stores the user ID, consideration name, options, and evaluation items indicated in the consideration information in the consideration information management table 162 (S22).
  • FIG. 14 is a sequence diagram showing an example of an operation performed between the information processing device 150 and the evaluation acquisition device 130 in the first embodiment.
  • the information acquisition unit 132 of the evaluation acquisition device 130 acquires information related to the evaluation via the communication unit 131 (S30). For example, the user inputs necessary information to the terminal 140, and the information acquisition unit 132 acquires the information related to the evaluation from the terminal 140.
  • the evaluation acquisition device 130 may acquire information regarding the user's evaluation from a device other than the terminal 140 .
  • the information acquisition unit 132 generates evaluation information indicating the user ID, the review name, the evaluation items, the options, and the evaluation based on the information related to the evaluation, and sends the evaluation information to the information processing device 150 via the communication unit 131 (S31).
  • the acquisition unit 171 of the information processing device 150 acquires the evaluation information via the communication unit 170, and the specific control unit 172 stores the necessary information in the evaluation information management table 163 based on the acquired evaluation information (S32).
  • the information processing device 150 receives the personal characteristic information, consideration information, and evaluation information, and manages the received personal characteristic information, consideration information, and evaluation information in the personal characteristic information management table 161, consideration information management table 162, and evaluation information management table 163, respectively.
  • FIG. 15 is a flowchart showing an outline of the operation performed by the specific control unit 172 of the information processing device 150.
  • the specific control unit 172 recommends empathy evaluation items to assist in the consideration of a user indicated by a user ID "A" and a user indicated by a user ID "B".
  • the identification control unit 172 identifies one record from the review information management table 162 (S40).
  • the review of the content identified in the one record identified here is also called the target review.
  • the target review is assumed to be a review conducted by a user indicated by user ID "A” and a user indicated by user ID "B”.
  • the specific control unit 172 executes the estimated evaluation estimation process (S41).
  • the estimated evaluation estimation process will be described in detail with reference to FIG. 16.
  • the specific control unit 172 executes the voluntary evaluation input process (S42).
  • the voluntary evaluation input process will be described in detail with reference to FIG. 17.
  • the specific control unit 172 executes empathy evaluation item recommendation processing (S43).
  • the empathy evaluation item recommendation processing will be described in detail with reference to FIG. 18.
  • FIG. 16 is a flowchart illustrating an example of the estimated evaluation estimation process according to the first embodiment.
  • the identification control unit 172 identifies the personal characteristics of the users in the target study identified in step S40 of Fig. 15 from the personal characteristic information management table 161 (S50). Here, the personal characteristics of the user ID "A" and the user ID "B" are identified.
  • the specific control unit 172 refers to the evaluation estimation table 164 to determine whether or not there is an estimated evaluation that corresponds to the personal characteristics acquired in step S50 and the study name and evaluation items of the target study (S51). If there is a corresponding estimated evaluation (YES in S51), the process proceeds to step S52, and if there is no corresponding estimated evaluation (NO in S51), the process proceeds to step S54.
  • step S50 For example, if the personal characteristics acquired in step S50 indicate that the gender is "male,” the name of the target study is "air conditioning temperature setting,” and the evaluation item of the target study is "comfort,” then an estimated evaluation of "20°C" will exist, as shown in FIG. 11.
  • step S52 the identification control unit 172 identifies the corresponding estimated evaluation.
  • the identification control unit 172 identifies "20°C" as the estimated evaluation.
  • the identification control unit 172 sends information indicating the estimated evaluation identified in step S52 to at least the terminal 140 used by the user having the personal characteristic corresponding to the estimated evaluation in step S51 via the communication unit 170 (S53).
  • the information indicating the estimated evaluation may be transmitted by unicast, broadcast or multicast.
  • the processing unit 144 causes the estimated rating to be displayed on the display unit 143. This allows the user to recognize the estimated rating.
  • step S54 the identification control unit 172 generates an evaluation information management table 163 by storing the study name, options, and evaluation items in the target study in the study name column 163a, option column 163c, and evaluation item column 163b, respectively, and generating an evaluation column 163d corresponding to the user ID in the target study.
  • the identification control unit 172 stores a star in the corresponding column in the generated evaluation information management table 163. For example, in the above example, a star is stored in the column corresponding to "comfort", "20°C", and user ID "A" in the evaluation information management table 163 shown in FIG. 10.
  • FIG. 17 is a flowchart illustrating an example of the voluntary evaluation input process according to the first embodiment.
  • the specific control unit 172 judges whether the acquisition unit 171 has acquired evaluation information from the evaluation acquisition device 130 via the communication unit 170 (S60). If the evaluation information has been acquired (YES in S60), the process proceeds to step S61, and if the evaluation information has not been acquired (NO in S60), the process ends. The acquired evaluation information is provided from the acquisition unit 171 to the specific control unit 172.
  • step S61 the specific control unit 172 sends information indicating the evaluation indicated in the evaluation information to at least the terminal 140 used by the user identified by the user ID indicated in the evaluation information via the communication unit 141.
  • the information indicating the evaluation may be sent by unicast, broadcast, or multicast. Then, the process proceeds to step S62.
  • step S62 the specific control unit 172 stores the evaluation indicated by the evaluation information acquired in step S60 in the evaluation column 163d of the record corresponding to the user ID, study name, evaluation item, and option indicated by the evaluation information in the evaluation information management table 163 corresponding to the study name indicated by the evaluation information.
  • the specific control unit 172 stores a circle in the corresponding column.
  • FIG. 18 is a flowchart illustrating an example of the empathy evaluation item recommendation process according to the first embodiment.
  • the specific control unit 172 judges whether or not there is a combination of evaluation items and options rated by all users by referring to the evaluation column 163d of the evaluation information management table 163 (S70).
  • the evaluation may be either an estimated evaluation indicated by a star or an independent evaluation indicated by a circle. If there is a combination of evaluation items and options rated by all users (YES in S70), the process proceeds to step S71, and if there is no combination of evaluation items and options rated by all users (NO in S70), the process ends.
  • the identification control unit 172 identifies the option that all users have evaluated as the empathy evaluation item. For example, in the above example, the identification control unit 172 identifies "23°C" as the empathy evaluation item for the user identified by user ID "A” and the user identified by user ID "B” corresponding to the evaluation item "comfort” in the review name "air conditioning temperature setting". In this case, the identification control unit 172 stores a circle in the empathy column 163e in the evaluation information management table 163 that corresponds to the option identified as the empathy evaluation item.
  • the identification control unit 172 sends information indicating the identified empathy evaluation items as consideration support information to the terminals 140 used by the users participating in the target consideration via the communication unit 170 (S72).
  • the consideration support information may include the options evaluated by all users as well as the corresponding evaluation items.
  • the processing unit 144 causes the empathy evaluation items indicated by the information to be displayed on the display unit 143. This allows the user to recognize the empathy evaluation items.
  • the information indicating the empathy evaluation items may be transmitted by unicast, broadcast, or multicast.
  • the empathy evaluation items identified by the information processing device 150 are transmitted to the user's terminal 140, and by referring to such empathy evaluation items, it is possible to reduce the user's response burden while also reducing the user's consideration burden.
  • the personality of the individual traits is represented by the Big Five personality traits, but this is not limited to the example in box 1 of embodiment 1.
  • the personality of the individual traits can be represented by the presence or absence of each of openness, conscientiousness, extroversion, agreeableness, and neuroticism by determining the parameters of each of openness, conscientiousness, extroversion, agreeableness, and neuroticism using threshold values.
  • the results in which each type of personality is represented by a binary value of "present” or "absent" may be aggregated to estimate an estimated evaluation.
  • an information processing system 200 includes a personal characteristic estimation device 110, a consideration acquisition device 120, an evaluation acquisition device 130, a terminal 140, and an information processing device 250.
  • the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 200 of embodiment 2 are similar to the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 100 of embodiment 1.
  • FIG. 19 is a block diagram illustrating a schematic configuration of an information processing device 250 according to the second embodiment.
  • the information processing device 250 includes a storage unit 160 , a communication unit 170 , an acquisition unit 171 , a specific control unit 172 , and an additional control unit 273 .
  • the memory unit 160, communication unit 170, acquisition unit 171, and specific control unit 172 of the information processing device 250 in embodiment 2 are similar to the memory unit 160, communication unit 170, acquisition unit 171, and specific control unit 172 of the information processing device 150 in embodiment 1. However, when acquiring evaluation information, the acquisition unit 171 also provides the acquired evaluation information to the addition control unit 273 .
  • the addition control unit 273 adds the matching self-selected option to the evaluation estimation table 164 as an option indicated by the estimated evaluation, in association with the matching at least one value.
  • the addition control unit 273 counts the number of times that at least one of the types of the study name, evaluation item, evaluated option, and personal characteristic of the user who performed the evaluation, indicated in the evaluation information, becomes the same. Then, when the counted number exceeds a predetermined threshold, the addition control unit 273 adds an estimated evaluation by storing the same study name, evaluation item, evaluated option, and at least one type of personal characteristic of the user who made the evaluation in the study name column 164a, evaluation item column 164b, estimated evaluation column 164d, and personal characteristic column 164c of the evaluation estimation table 164, respectively.
  • the additional control unit 273 can also be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.
  • the information processing device 250 can add new estimated evaluations, further reducing the burden of user input.
  • FIG. 20 is a block diagram showing an outline of a configuration of an information processing system 300 according to the third embodiment.
  • the information processing system 300 includes a personal characteristic estimation device 110 , a consideration acquisition device 120 , an evaluation acquisition device 130 , a terminal 140 , an information processing device 350 , and an external environment acquisition device 380 .
  • the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 300 of embodiment 3 are similar to the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 100 of embodiment 1.
  • the external environment acquisition device 380 is a device that acquires information about the external environment.
  • FIG. 21 is a block diagram showing a schematic configuration of an external environment acquisition device 380 according to the third embodiment.
  • the external environment acquisition device 380 includes a communication unit 381 and an information acquisition unit 382 .
  • Information about the external environment is, for example, information related to the environment in which the user is present; in this case, the external environment is the season.
  • the information acquisition unit 382 sends the external environment information indicating the season to the information processing device 350 via the communication unit 381.
  • the information acquisition unit 382 sends external environment information indicating the new season to the information processing device 350 via the communication unit 381 every time the season changes.
  • the above-described external environment acquisition device 380 can be configured, for example, by a computer 10 as shown in FIG.
  • the information acquisition unit 382 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.
  • the communication unit 381 can be realized by the communication I/F 14 .
  • the storage unit 360 stores information necessary for processing by the information processing device 350 .
  • the storage unit 360 stores a personal characteristic information management table 161 , a consideration information management table 162 , an evaluation information management table 163 , an evaluation estimation table 364 , and an external environment information management table 365 .
  • the personal characteristic information management table 161, the consideration information management table 162 and the evaluation information management table 163 stored in the memory unit 360 in embodiment 3 are similar to the personal characteristic information management table 161, the consideration information management table 162 and the evaluation information management table 163 stored in the memory unit 160 in embodiment 1.
  • the evaluation estimation table 364 stores estimated evaluations indicating options that are estimated to be evaluated by the user according to a combination of the external environment, the consideration name, the evaluation item, and the personal characteristics.
  • FIG. 23 is a schematic diagram showing an example of the evaluation estimation table 364. As shown in FIG.
  • the evaluation estimation table 364 has an external environment column 364e, a study name column 164a, an evaluation item column 164b, an individual characteristic column 164c, and an estimated evaluation column 164d.
  • the study name column 164a, the evaluation item column 164b, the personal characteristics column 164c, and the estimated evaluation column 164d of the evaluation estimation table 364 in embodiment 3 are similar to the study name column 164a, the evaluation item column 164b, the personal characteristics column 164c, and the estimated evaluation column 164d of the evaluation estimation table 164 in embodiment 1.
  • the external environment column 364e stores the external environment.
  • the external environment is the season. 23, for example, in the evaluation item “comfort” of the study name "air conditioning temperature setting”, when the user's gender among the personal characteristics is “male”, it is estimated that the option "20°C” will be evaluated. On the other hand, in the evaluation item “comfort” of the study name “air conditioning temperature setting”, when the user's gender among the personal characteristics is “male”, it is estimated that the option "23°C" will be evaluated.
  • FIG. 24 is a schematic diagram showing an example of the external environment information management table 365. As shown in FIG. The external environment information management table 365 stores the external environment of the current user. In the example of Fig. 24, it is shown that the external environment of the current user is "summer".
  • the acquisition unit 371 acquires various types of information via the communication unit 170 and stores the acquired information in the storage unit 360 .
  • the acquisition unit 371 in the third embodiment performs the same processing as the acquisition unit 171 in the first embodiment, and also performs the following processing.
  • the processing of the specific control unit 372 in the third embodiment is almost the same as the processing of the specific control unit 172 in the first embodiment, but the processing for determining the estimated evaluation from the evaluation estimation table 364 is different.
  • FIG. 25 is a sequence diagram showing an example of an operation performed between the information processing device 350 and the external environment acquisition device 380 in the third embodiment.
  • the information acquisition section 382 of the external environment acquisition device 380 acquires information about the external environment (S80).
  • the storage unit 160, communication unit 170, acquisition unit 171, and specific control unit 172 of the information processing device 450 in embodiment 4 are similar to the storage unit 160, communication unit 170, acquisition unit 171, and specific control unit 172 of the information processing device 150 in embodiment 1.
  • the reproduction control unit 475 reproduces multiple options in the target study. For example, if the study name of the target study is "air conditioning temperature setting," the options of the target study are reproduced by controlling an air conditioner (not shown) installed in a room where a user identified by the user ID of the target study is present. Specifically, the options of the target study can be reproduced by changing the temperature setting for a certain period of time.
  • the reproduction control unit 475 described above can also be realized by reading a program stored in the non-volatile memory device 11 into the volatile memory device 12 and having the processor 13 execute the program, as shown in FIG. 3.
  • the reproduction control unit 475 reproduces the options for the target consideration (S100).
  • the options may be reproduced by operating real equipment, or may be reproduced in a virtual space such as VR (Virtual Reality), AR (Augmented Reality), or XR (Extended Reality).
  • step S60 The process of steps S60 to S62 shown in FIG. 28 is similar to the process of steps S60 to S62 shown in FIG.
  • the information processing device 450 reproduces the options to be considered. This allows the information processing device 450 to receive the user's voluntary evaluation that reflects their own sense of reality.
  • Information processing system 110 Personal characteristic estimation device, 120 Consideration acquisition device, 130 Evaluation acquisition device, 140 Terminal, 150, 250, 350, 450 Information processing device, 160, 360 Memory unit, 170 Communication unit, 171, 371 Acquisition unit, 172, 372 Specific control unit, 273 Additional control unit, 475 Reproduction control unit, 380 External environment acquisition device.

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Abstract

Un dispositif de traitement d'informations (150) selon l'invention comprend : une unité d'acquisition (171) pour acquérir des informations d'examen indiquant le contenu d'examen effectué pour sélectionner une option parmi une pluralité d' options, entre un premier utilisateur et un second utilisateur ; et une unité de commande d'identification (172) pour déduire, à partir de caractéristiques personnelles du premier utilisateur, une option sélectionnée par le premier utilisateur parmi la pluralité d'options, en tant que première option d'inférence, et déduire, à partir de caractéristiques personnelles du second utilisateur, une option sélectionnée par le second utilisateur parmi la pluralité d'options, en tant que seconde option d'inférence.
PCT/JP2023/017929 2023-05-12 2023-05-12 Dispositif de traitement d'informations, programme, système de traitement d'informations et procédé de traitement d'informations Pending WO2024236642A1 (fr)

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