WO2025215724A1 - Productivity calculation device, productivity calculation method, and productivity calculation program - Google Patents

Abstract

In the present invention, an intellectual productivity model (51) comprises a plurality of classifications, an intermediate factor included in each classification of the plurality of classifications, and a plurality of unit factors which contribute to the intermediate factor. The intellectual productivity model (51) is provided with a contribution rate for when each of the plurality of unit factors contributes to the intermediate factor, and a contribution rate for when an intermediate factor contributes to an intermediate factor of another classification. In the intellectual productivity model (51), the plurality of unit factors are aggregated into an intellectual productivity factor that is one of the intermediate factors. A questionnaire collection unit (110) acquires a score for each of the plurality of unit factors from a user, as questionnaire results. A calculation unit (120) inputs the score for each of the plurality of unit factors into the intellectual productivity model (51), and acquires the intellectual productivity of the user.

Description

Productivity calculation device, productivity calculation method, and productivity calculation program

This disclosure relates to a productivity calculation device, a productivity calculation method, and a productivity calculation program.

Research is being conducted to calculate the intellectual productivity of office workers based on subjective evaluations.
In Patent Document 1, an individual is required to periodically input a subjective evaluation of his/her intellectual activity, and the influence of the intellectual activity on the individual's intellectual productivity is evaluated.

JP 2011-175479 A

The technology in Patent Document 1 evaluates the degree of influence of factors that directly affect intellectual productivity, such as meetings, document creation, and document viewing. However, calculating intellectual productivity also requires consideration of the degree of influence of factors that indirectly affect intellectual productivity, such as an individual's personality, occupation, or indoor environment. The technology in Patent Document 1 is unable to evaluate the degree of influence of factors that indirectly affect intellectual productivity, resulting in low accuracy in calculating intellectual productivity.

The purpose of this disclosure is to improve the accuracy of calculating intellectual productivity.

The productivity calculation device according to the present disclosure is a productivity calculation device that calculates the intellectual productivity of a user who performs intellectual activity,
an intellectual productivity model stored in a storage unit, comprising a plurality of classifications indicating factors that affect the intellectual activity of the user, intermediate factors included in each of the plurality of classifications, and a plurality of unit factors that contribute to the intermediate factors, and to which a contribution rate when each of the plurality of unit factors contributes to the intermediate factor and a contribution rate when each of the intermediate factors contributes to the intermediate factors of other classifications is assigned, and the plurality of unit factors are aggregated into an intellectual productivity factor that indicates intellectual productivity, which is one of the intermediate factors;
a questionnaire collection unit that acquires a score for each of the plurality of unit factors from the user as a questionnaire result;
and a calculation unit that inputs a score for each of the plurality of unit factors into the intellectual productivity model and obtains the score for the intellectual productivity factor output from the intellectual productivity model as the intellectual productivity of the user.

The productivity calculation device disclosed herein aims to improve the accuracy of intellectual productivity calculations.

FIG. 1 is a diagram showing an example of the configuration of a productivity calculation device according to a first embodiment. FIG. 1 is a diagram showing an example of the overall configuration of an intellectual productivity model according to a first embodiment. FIG. 2 is a diagram showing an example of a partial configuration of an intellectual productivity model according to the first embodiment. FIG. 2 is a diagram showing an example of a partial configuration of an intellectual productivity model according to the first embodiment. FIG. 2 is a diagram showing an example of a partial configuration of an intellectual productivity model according to the first embodiment. FIG. 2 is a diagram showing an example of a partial configuration of an intellectual productivity model according to the first embodiment. FIG. 2 is a diagram showing an example of a partial configuration of an intellectual productivity model according to the first embodiment. FIG. 10 is a diagram showing a calculation formula for intellectual productivity using the intellectual productivity model according to the first embodiment. FIG. 3 is a flowchart showing the operation of the productivity calculation device according to the first embodiment. FIG. 10 is a diagram showing a display example of intellectual productivity and contribution rate according to the first embodiment. FIG. 10 is a diagram showing an example of the configuration of a productivity calculation device according to a modification of the first embodiment. FIG. 10 is a diagram showing an example of the configuration of a productivity calculation device according to a second embodiment. FIG. 10 is a diagram showing an example of displaying intellectual productivity and contribution rate according to the second embodiment. FIG. 10 is a flowchart showing the operation of the productivity calculation device according to the second embodiment. FIG. 10 is a diagram showing an example of the configuration of a productivity calculation device according to a third embodiment. FIG. 11 is a flowchart showing the operation of the productivity calculation device according to the third embodiment. FIG. 10 is a diagram showing an example of the configuration of a productivity calculation device according to a fourth embodiment. FIG. 10 is a flowchart showing the operation of the productivity calculation device according to the fourth embodiment. FIG. 13 is a diagram showing an example of the configuration of a productivity calculation device according to a fifth embodiment. FIG. 13 is a flowchart showing the operation of the productivity calculation device according to the fifth embodiment. FIG. 13 is a diagram showing an example of the configuration of a productivity calculation device according to a sixth embodiment. FIG. 13 is a flowchart showing the operation of the productivity calculation device according to the sixth embodiment. FIG. 20 is a diagram showing an example of a display in which estimation results according to the sixth embodiment are displayed.

The present embodiment will now be described with reference to the drawings. In each drawing, identical or corresponding parts are designated by the same reference numerals. In the description of the embodiment, the description of identical or corresponding parts will be omitted or simplified as appropriate. Arrows in the drawings primarily indicate the flow of data or the flow of processing. Furthermore, the sized relationships between components in the drawings below may differ from the actual relationships. Furthermore, in the description of the embodiment, directions or positions such as up, down, left, right, front, rear, front and back may be indicated. These notations are used for convenience of explanation and do not limit the placement, direction or orientation of devices, instruments, parts, etc.

Embodiment 1.
***Configuration Description***
FIG. 1 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment.
The productivity calculation device 100 is a device that calculates the intellectual productivity of a user who performs intellectual activity.
The productivity calculation device 100 is a computer. The productivity calculation device 100 includes a processor 910 as well as other hardware such as a memory 921, an auxiliary storage device 922, an input interface 930, an output interface 940, and a communication device 950. The processor 910 is connected to the other hardware via signal lines and controls the other hardware.

The productivity calculation device 100 includes, as functional elements, a questionnaire collection unit 110, a calculation unit 120, and a storage unit 150. The storage unit 150 stores an intellectual productivity model 51 and a contribution rate 52.

The functions of the questionnaire collection unit 110 and the calculation unit 120 are realized by software. The storage unit 150 is provided in the memory 921. Note that the storage unit 150 may be provided in the auxiliary storage device 922, or may be provided separately in the memory 921 and the auxiliary storage device 922.

The processor 910 is a device that executes a productivity calculation program. The productivity calculation program is a program that realizes the functions of the questionnaire collection unit 110 and the calculation unit 120.
The processor 910 is an IC that performs arithmetic processing. Specific examples of the processor 910 are a CPU, a DSP, and a GPU. IC is an abbreviation for Integrated Circuit. CPU is an abbreviation for Central Processing Unit. DSP is an abbreviation for Digital Signal Processor. GPU is an abbreviation for Graphics Processing Unit.

The memory 921 is a storage device that temporarily stores data. Specific examples of the memory 921 are SRAM and DRAM. SRAM is an abbreviation for Static Random Access Memory. DRAM is an abbreviation for Dynamic Random Access Memory.
The auxiliary storage device 922 is a storage device that stores data. A specific example of the auxiliary storage device 922 is an HDD. The auxiliary storage device 922 may also be a portable storage medium such as an SD (registered trademark) memory card, CF, NAND flash, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, or a DVD. Note that HDD is an abbreviation for Hard Disk Drive. SD (registered trademark) is an abbreviation for Secure Digital. CF is an abbreviation for CompactFlash (registered trademark). DVD is an abbreviation for Digital Versatile Disk.

The input interface 930 is a port that is connected to an input device such as a mouse, keyboard, or touch panel. Specifically, the input interface 930 is a USB terminal. Note that the input interface 930 may also be a port that is connected to a LAN. USB is an abbreviation for Universal Serial Bus. LAN is an abbreviation for Local Area Network.

The output interface 940 is a port to which a cable from an output device such as a display is connected. Specifically, the output interface 940 is a USB terminal or an HDMI (registered trademark) terminal. Specifically, the display is an LCD. The output interface 940 is also called a display interface. HDMI (registered trademark) is an abbreviation for High Definition Multimedia Interface. LCD is an abbreviation for Liquid Crystal Display.

The communication device 950 has a receiver and a transmitter. The communication device 950 is connected to a communication network such as a LAN, the Internet, a telephone line, or Wi-Fi (registered trademark). Specifically, the communication device 950 is a communication chip or NIC. NIC is an abbreviation for Network Interface Card.

The productivity calculation program is executed in the productivity calculation device 100. The productivity calculation program is loaded into and executed by the processor 910. Memory 921 stores not only the productivity calculation program but also the OS. OS is an abbreviation for Operating System. The processor 910 executes the productivity calculation program while running the OS. The productivity calculation program and OS may be stored in an auxiliary storage device 922. The productivity calculation program and OS stored in the auxiliary storage device 922 are loaded into memory 921 and executed by the processor 910. Note that part or all of the productivity calculation program may be incorporated into the OS.

The productivity calculation device 100 may be equipped with multiple processors that replace the processor 910. These multiple processors share the execution of the productivity calculation program. Each processor is a device that executes the productivity calculation program in the same way as the processor 910.

Data, information, signal values, and variable values used, processed, or output by the productivity calculation program are stored in memory 921, auxiliary storage device 922, or registers or cache memory within processor 910.

The "parts" of the questionnaire collection unit 110, the calculation unit 120, and the storage unit 150 may be read as "circuits,""processes,""procedures,""processes," or "circuitry." The productivity calculation program causes a computer to execute a questionnaire collection process, a calculation process, and a storage process. The "processes" of the questionnaire collection process, the calculation process, and the storage process may be read as "program,""programproduct,""computer-readable storage medium storing a program," or "computer-readable recording medium recording a program." The productivity calculation method is a method performed by the productivity calculation device 100 executing the productivity calculation program.
The productivity calculation program may be provided by being stored in a computer-readable recording medium, or may be provided as a program product.

***About Intellectual Productivity Model 51***
FIG. 2 is a diagram showing an example of the overall configuration of an intellectual productivity model 51 according to this embodiment.
FIG. 3 is a diagram showing an example of a partial configuration of the productivity model 51 according to this embodiment.
FIG. 4 is a diagram showing an example of a partial configuration of the intellectual productivity model 51 according to this embodiment.
FIG. 5 is a diagram showing an example of a partial configuration of an intellectual productivity model 51 according to this embodiment.
FIG. 6 is a diagram showing an example of a partial configuration of an intellectual productivity model 51 according to this embodiment.
FIG. 7 is a diagram showing an example of a partial configuration of an intellectual productivity model 51 according to this embodiment.

The intellectual productivity model 51 shown in FIG. 2 will be described.
The intellectual productivity model 51 calculates intellectual productivity from a plurality of unit factors classified into five categories, for example, "intellectual activity,""innerself,""relaxation,""communication," and "environment." In Fig. 2, the arrow indicates the contribution rate 52 in the intellectual productivity model 51. Specific numerical values of the contribution rate 52 are shown in Figs. 3 to 7.

The intellectual productivity model 51 is modeled using a technique such as covariance structure analysis from a statistically significant number of intellectual productivity survey questionnaires. In the intellectual productivity model 51, contribution rates are assigned between all factors. The contribution rates shown in Figures 3 to 7 only show contribution rates that are equal to or greater than a predetermined value among the contribution rates between all factors. The intellectual productivity model 51 is ultimately summarized into factors that indicate intellectual productivity. In other words, it can be said that each factor in the intellectual productivity model 51 is assigned a contribution rate to intellectual productivity.
The method of calculating the productivity using the productivity model 51 will be described later.

The intellectual productivity model 51 includes a plurality of classifications 511 indicating factors that influence the user's intellectual activity, intermediate factors 512 included in each of the plurality of classifications 511, and a plurality of unit factors 513 that contribute to the intermediate factors 512.
In the following description, each or all of the intermediate factors and unit factors may be simply referred to as factors.
A user completes a questionnaire aimed at investigating intellectual productivity and assigns a score to each of a plurality of unit factors 513. For example, the question in this intellectual productivity survey questionnaire is set to one or more questions for each of the factors indicated by the plurality of unit factors 513 in the intellectual productivity model 51. Intellectual productivity is calculated by multiplying the individual's response value to each factor by the contribution rate using the intellectual productivity model 51.
The productivity model 51 receives as input the scores of each of a plurality of unit factors 513 acquired from the user, and outputs the productivity of the user.

The multiple unit factors 513 are factors that influence an individual's intellectual activity. The multiple unit factors 513 are divided into multiple categories 511. In Figure 2, the multiple unit factors 513 are shown in square frames. The unit factors in Figure 2 are just an example, and unit factors can be added or deleted as desired.

The multiple categories 511 are specifically five categories: environment, inner self, relaxation, communication, and intellectual activity. In Figure 2, each of the multiple unit factors 513 is classified into one of these five categories. The categories in Figure 2 are an example, and categories can be added or deleted as desired.

Intermediate factors 512 are higher-level factors than the unit factors 513 contained in each classification. Intermediate factors 512 are higher-level factors that combine multiple unit factors 513 contained in each classification. In Figure 2, intermediate factors 512 are indicated by oval frames. The intermediate factors in Figure 2 are just an example, and intermediate factors can be added or deleted as desired.

For example, the category "Relaxation" includes multiple unit factors: "Rest," "Entertainment," "Drinks/Snacks," "Relaxation," and "Refreshment." The intermediate factor that is a higher-level factor for the unit factors "Rest," "Entertainment," and "Drinks/Snacks" is "Refreshment." Furthermore, the intermediate factor that is a higher-level factor for "Relaxation" and "Refreshment" is "Relaxation."

The productivity model 51 is assigned a contribution rate when each of a plurality of unit factors 513 contributes to an intermediate factor 512. The productivity model 51 is also assigned a contribution rate when the intermediate factor 512 contributes to an intermediate factor 512 of another class 511. The productivity model 51 is also assigned a contribution rate when the intermediate factor 512 contributes to an intermediate factor 512 of the same class 511.
3 to 7 show specific examples of the contribution rate 52 in the intellectual productivity model 51. FIG.

In intellectual productivity model 51, the contribution rate when intermediate factors 512 contribute to intermediate factors 512 of other categories 511 is assigned, making it possible to calculate intellectual productivity that precisely reflects the degree of influence of indirect factors on a user's intellectual activity. In addition, because intellectual productivity model 51 is assigned the contribution rate when intermediate factors 512 contribute to intermediate factors 512 of the same category 511, it is possible to calculate intellectual productivity that precisely reflects the degree of influence of indirect factors on a user's intellectual activity.

In intellectual productivity model 51, multiple unit factors 513 are aggregated into an intellectual productivity factor that indicates intellectual productivity, which is one of the intermediate factors. As shown in Figure 2, the category "intellectual activity" includes the intermediate factor "intellectual productivity." This intermediate factor "intellectual productivity" is also called the intellectual productivity factor. The intermediate factor "intellectual productivity" indicates the user's intellectual productivity score that is finally calculated based on the scores of all unit factors included in intellectual productivity model 51.

FIG. 8 is a diagram showing a calculation formula for productivity using the productivity model 51 according to this embodiment.
Intellectual productivity is calculated using the formula in Equation 1.

The equation 1 is as follows:
P: Calculated value of intellectual productivity α: Contribution rate of intellectual activity A: Response value of intellectual activity questionnaire β: Contribution rate of inner self I: Response value of inner self questionnaire γ: Contribution rate of relaxation R: Response value of relaxation questionnaire σ: Contribution rate of communication C: Response value of communication questionnaire Δ: Contribution rate of environment E: Response value of environment questionnaire

Furthermore, A, I, R, C, and E are calculated using the formula 2.

Equation 2 is as follows:
A: Contribution rate of each item of intellectual activity v: Response value of questionnaire result for each item of intellectual activity b: Contribution rate of each item of inner life w: Response value of questionnaire result for each item of inner life c: Contribution rate of each item of relaxation x: Response value of questionnaire result for each item of relaxation d: Contribution rate of each item of communication y: Response value of questionnaire result for each item of communication e: Contribution rate of each item of environment z: Response value of questionnaire result for each item of environment

Furthermore, v, w, x, y, and z are calculated using the formula 3.

Equation 3 is as follows:
f, g, h, i, j: Survey contribution rate of the following items q, r, s, t, u: Survey result response values of the following items

In the intellectual productivity model 51, a classification indicating the attributes of a user is included in the plurality of classifications 511. Furthermore, a plurality of unit factors 513 that contribute to an intermediate factor 512 included in the classification 511 indicating the attributes of a user are unit factors indicating the attributes of a user.
The classification indicating the user's attributes includes at least one of the classification "inner self" indicating the user's inner self, the classification "communication" indicating the user's communication ability, and the classification "intellectual activity" indicating the user's intellectual activity ability.
2 includes three categories indicating user attributes: "inner self,""communication," and "intellectual activity." The unit factors included in these categories are unit factors that indicate individual attributes such as the user's personality, occupation, preferences, way of thinking, or behavior.

In the intellectual productivity model 51, a classification indicating the user's environment is included in the plurality of classifications 511. Furthermore, a plurality of unit factors 513 that contribute to an intermediate factor 512 included in the classification 511 indicating the user's environment are unit factors that indicate the environment of the user's intellectual activity.
The classification indicating the user's environment includes at least one of a classification "environment" indicating the working environment for the user's intellectual activity and a classification "relaxation" indicating the environment in which the user relaxes.
2 includes the categories "environment" and "relaxation" as categories that indicate the user's environment. The unit factors included in these categories are unit factors that indicate the environment in which the user works, such as the user's work environment or relaxation environment.

***Explanation of Operation***
Next, an operation of the productivity calculation device 100 according to the present embodiment will be described. The operation procedure of the productivity calculation device 100 corresponds to a productivity calculation method. Furthermore, a program that realizes the productivity calculation process, which is the operation of the productivity calculation device 100, corresponds to a productivity calculation program.

FIG. 9 is a flow diagram showing the operation of the productivity calculation device 100 according to this embodiment.

In step S101, the questionnaire collection unit 110 acquires a score for each of a plurality of unit factors from the user as a questionnaire result. This questionnaire is an intellectual productivity survey questionnaire aimed at investigating the intellectual productivity of users. The user assigns a score to each of the plurality of unit factors. For example, the questionnaire includes one or more questions for each factor indicated by the plurality of unit factors in the intellectual productivity model 51.
The questionnaire collection unit 110 outputs the individual response values to the calculation unit 120 .

In step S102, the calculation unit 120 inputs the scores for each of the multiple unit factors into the productivity model 51. Then, the calculation unit 120 acquires the scores for the productivity factors output from the productivity model 51 as the user's productivity 61.
Here, the contribution rate 52 stored in the storage unit 150 is used as the contribution rate assigned to the productivity model 51. Alternatively, the productivity model 51 may be assigned a contribution rate in advance.
The calculation unit 120 transmits the answer value to the productivity model that reflects the contribution rate stored in the contribution rate storage unit, and returns the calculation result from the model to the productivity calculation unit.

The calculation unit 120 obtains the score of the intellectual productivity factor, which is the intermediate factor "intellectual productivity" output from the intellectual productivity model 51, as the user's intellectual productivity 61. At this time, the calculation unit 120 calculates the user's intellectual productivity 61 and a contribution degree 62 indicating the degree of contribution of each of the multiple categories 511 to the intellectual productivity 61.

The contribution 62 of each of the multiple categories is obtained in the process of calculating the intellectual productivity 61, as explained with reference to FIG.
The calculation unit 120 inputs the scores for each of the plurality of unit factors into the productivity model 51, and obtains the productivity 61 and the contribution 62 of each of the plurality of categories.

In step S103, the calculation unit 120 displays the intellectual productivity 61 and the contribution 62 of each of the multiple categories via the output interface 940.

FIG. 10 is a diagram showing an example of displaying intellectual productivity 61 and contribution rate 62 according to this embodiment.
FIG. 10 shows an example in which the intellectual productivity of the user "User: 0001" is displayed as "85 points," the contribution of the category "inner self" is displayed as "42 points," and the contribution of the category "relaxation" is displayed as "34 points."

***Other configurations***
In this embodiment, the functions of the questionnaire collection unit 110 and the calculation unit 120 are realized by software. As a modification, the functions of the questionnaire collection unit 110 and the calculation unit 120 may be realized by hardware.
Specifically, the productivity calculation device 100 includes an electronic circuit 909 instead of the processor 910 .

FIG. 11 is a diagram showing an example of the configuration of a productivity calculation device 100 according to a modified example of this embodiment.
The electronic circuit 909 is a dedicated electronic circuit that realizes the functions of the questionnaire collection unit 110 and the calculation unit 120. Specifically, the electronic circuit 909 is a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, a logic IC, a GA, an ASIC, or an FPGA. GA is an abbreviation for Gate Array. ASIC is an abbreviation for Application Specific Integrated Circuit. FPGA is an abbreviation for Field-Programmable Gate Array.

The functions of the questionnaire collection unit 110 and the calculation unit 120 may be realized by a single electronic circuit, or may be distributed across multiple electronic circuits.

As another variation, some of the functions of the survey collection unit 110 and the calculation unit 120 may be realized by electronic circuits, with the remaining functions being realized by software. Also, some or all of the functions of the survey collection unit 110 and the calculation unit 120 may be realized by firmware.

Each of the processor and electronic circuitry is also called processing circuitry. In other words, the functions of the survey collection unit 110 and calculation unit 120 are realized by processing circuitry.

***Description of the Effects of This Embodiment***
As described above, the productivity calculation device 100 according to this embodiment has the effect of estimating the intellectual productivity of a worker taking into account indirect factors, and making it possible to determine the factors that influenced intellectual productivity and the extent to which they influenced it. Furthermore, the productivity calculation device 100 according to this embodiment can determine the extent to which each factor influenced intellectual productivity based on the contribution of each factor to the higher-level factor. The contribution can be calculated by multiplying the contribution rate by the individual's response value.

In the productivity calculation device 100 according to this embodiment, the intellectual productivity model is assigned a contribution rate when an intermediate factor contributes to an intermediate factor of another category. Furthermore, in the intellectual productivity model, the contribution rate when an intermediate factor contributes to an intermediate factor of the same category is assigned. This makes it possible to calculate intellectual productivity that precisely reflects the degree of influence of indirect factors on the user's intellectual activity.

Embodiment 2.
In this embodiment, differences from and additions to the first embodiment will be mainly described.
In this embodiment, components having the same functions as those in the first embodiment are denoted by the same reference numerals, and the description thereof will be omitted.

***Configuration Description***
FIG. 12 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment.
The productivity calculation device 100 according to this embodiment includes a threshold value determination unit 130 and a contribution degree comparison unit 140 in addition to the components shown in FIG. 1 described in the first embodiment.
The other configurations are the same as those in the first embodiment.

In this embodiment, the calculation unit 120 calculates, for each of a plurality of users, the user's intellectual productivity 61 and the contribution 62 of each of a plurality of categories to the intellectual productivity.
The threshold value determination unit 130 determines the threshold values 53 for intellectual productivity and contribution level based on the intellectual productivity 61 and contribution level 62 of each of a plurality of users.
The contribution comparison unit 140 extracts, for each of the multiple users, items that are higher than the threshold 53 and items that are lower than the threshold 53. The contribution comparison unit 140 displays, for each of the multiple users, the intellectual productivity 61 and the contribution 62. At this time, the contribution comparison unit 140 visualizes and displays the items that are higher than the threshold 53 and items that are lower than the threshold 53 for the intellectual productivity 61 and the contribution 62.

FIG. 13 is a diagram showing an example of displaying intellectual productivity 61 and contribution rate 62 according to this embodiment.
The intellectual productivity 61 and the contribution of each category 62 for each of multiple users A, B, ..., X are displayed. Scores higher than the threshold 53 are shown in bold. Scores lower than the threshold 53 are underlined.

***Explanation of Operation***
FIG. 14 is a flowchart showing the operation of the productivity calculation device 100 according to this embodiment.
In step S201, the questionnaire collection unit 110 acquires the scores for each of the plurality of unit factors from each of the plurality of users as the questionnaire results, and outputs the response values of each of the plurality of users to the calculation unit 120.
The process of step S201 is the same as step S101.

In step S102, the calculation unit 120 inputs the response value for each of the multiple users into the productivity model 51. Then, the calculation unit 120 acquires the productivity 61 output from the productivity model 51 for each of the multiple users. The calculation unit 120 also acquires the contribution degree 62 for each of the multiple categories for each of the multiple users.
The process of step S202 is the same as step S102.

In step S203, the threshold determination unit 130 determines the thresholds 53 for intellectual productivity and contribution level for each of the multiple users based on the intellectual productivity 61 and contribution level 62. The thresholds 53 are values that serve as a reference for comparing intellectual productivity and contribution level.
For example, the threshold value determining unit 130 determines the threshold value 53 from the average of the contribution degree 62 in each category for each of the multiple users.

In step S204, the contribution comparison unit 140 compares the intellectual productivity 61 and the contribution 62 for each of the multiple users with the respective thresholds 53. The contribution comparison unit 140 extracts items that are higher than the threshold 53 and items that are lower than the threshold 53.
In step S205, the contribution comparison unit 140 displays the intellectual productivity 61 and the contribution 62 for each of the multiple users. At this time, the contribution comparison unit 140 visualizes and displays the intellectual productivity 61 and the contribution 62 by dividing items higher than the threshold 53 and items lower than the threshold 53.
In FIG. 13, scores above the threshold 53 are shown in bold, and scores below the threshold 53 are underlined.
In Fig. 13, intellectual productivity 61 and contribution 62 are displayed for each individual, and a comparison is made with a threshold value 53. Comparisons can also be made by group, such as by department. Also, comparisons can be made over time, such as with the past.

***Description of the Effects of This Embodiment***
The productivity calculation device 100 according to this embodiment can identify factors that relatively lower or increase the intellectual productivity of an individual or a group. Therefore, it is possible to estimate what factors, including indirect factors, relatively contribute to intellectual productivity in comparison with other people or other groups.

Embodiment 3.
In this embodiment, differences from and additions to the first embodiment will be mainly described.
In this embodiment, components having the same functions as those in the first embodiment are denoted by the same reference numerals, and the description thereof will be omitted.

***Configuration Description***
FIG. 15 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment.
The productivity calculation device 100 according to this embodiment includes an attribute determination unit 160 in addition to the components shown in FIG. 1 described in the first embodiment.
The other configurations are the same as those in the first embodiment.

In this embodiment, we will explain how intellectual productivity is calculated using an intellectual productivity model 51 that reflects different contribution rates for each individual's attributes.

In this embodiment, the storage unit 150 stores a plurality of productivity models 51 in which contribution rates 52 corresponding to the attributes of users are set.
Specifically, a plurality of contribution rates 52 corresponding to the attributes of the user are stored in the storage unit 150. For example, contribution rates 52 corresponding to each of a plurality of types of attributes of the user, such as personality, occupation, gender, or preferences, are stored in the storage unit 150. Specifically, contribution rates 52 such as information processing type, knowledge processing type, comprehensive processing type, relaxation type, and creative type are stored.
It should be noted that a plurality of intellectual productivity models 51 may be stored, each of which is assigned a contribution rate 52, such as information processing type, knowledge processing type, comprehensive processing type, relaxed life, and creative type.

A contribution rate of 52 is a more appropriate value for calculating intellectual productivity depending on the user's attributes, such as information processing type, knowledge processing type, comprehensive processing type, relaxed lifestyle, and creative type.

***Explanation of Operation***
FIG. 16 is a flowchart showing the operation of the productivity calculation device 100 according to this embodiment.
The process in step S101 is the same as in the first embodiment.

In step S301, the attribute determination unit 160 determines the attributes of the user based on information indicating the attributes of the user included in the questionnaire results.
Specifically, the attribute determination unit 160 reads the personal attributes entered in the questionnaire and determines the user's attributes. The user's attributes include information such as personality, occupation, gender, and preferences. To determine the user's attributes, an index such as the Big Five is used. The Big Five is a personality analysis theory that derives personality from a combination of five factors. For example, the Big Five is an index that determines a person's personality and strengths and weaknesses based on the degree and balance of factors including "emotional instability,""extroversion,""openness," and "agreeableness."
Other indices may also be used to determine the attributes of a user.

In step S302, the calculation unit 120 receives the user's attributes from the attribute determination unit 160. Based on the user's attributes, the calculation unit 120 selects, from among the multiple productivity models 51, an intellectual productivity model 51 in which a contribution rate 52 corresponding to the user's attributes is set.
Specifically, the calculation unit 120 selects a contribution rate corresponding to the user's attributes from among the multiple contribution rates 52 and reflects it in the intellectual productivity model 51 .
Then, the calculation unit 120 calculates the intellectual productivity and the contribution of each category from the intellectual productivity model that reflects the contribution rate based on the attributes.
The method of calculating the user's intellectual productivity 61 and the contribution degree 62 of each category is the same as in the first embodiment.

The processing in step S103 is the same as in embodiment 1.

***Description of the Effects of This Embodiment***
According to the productivity calculation device 100 of this embodiment, it is possible to calculate intellectual productivity according to the attributes of an individual, thereby making it possible to more accurately estimate intellectual productivity and influencing factors.

Embodiment 4.
In this embodiment, differences from and additions to the first embodiment will be mainly described.
In this embodiment, components having the same functions as those in the first embodiment are given the same reference numerals, and the description thereof will be omitted.

***Configuration Description***
FIG. 17 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment.
The productivity calculation device 100 according to this embodiment includes an objective data collection unit 170 and a result estimation unit 180 in addition to the components shown in FIG. 1 described in the first embodiment.
The other configurations are the same as those in the first embodiment.

In this embodiment, a mode will be described in which some survey results are estimated from objective data of individuals.
The objective data collection section 170 collects objective data, which is objective data on the user.
The result estimation unit 180 estimates at least a part of the survey results based on the objective data.

***Explanation of Operation***
FIG. 18 is a flowchart showing the operation of the productivity calculation device 100 according to this embodiment.
The process in step S101 is the same as in the first embodiment.

In step S401, the objective data collection unit 170 collects objective data, which is objective data about the user. Physical information such as heart rate, brain waves, and pulse waves is collected using a wearable device, etc. Information such as temperature, brightness, and air quality is also collected from an environmental sensor.
In step S402, the result estimation unit 180 estimates at least a portion of the survey results based on the objective data. Some of the survey responses are estimated from the collected data. For example, for a user, it may be determined from the objective data that the user feels comfortable in an environment with a specific illuminance range, and the survey responses may be estimated.

The processes in steps S102 and S103 are the same as those in the first embodiment.
18, questionnaire results are collected in step S101, and objective data is collected in step S401. The processing of steps S101 and S401 may be performed in any order, or may be performed in parallel.

***Description of the Effects of This Embodiment***
According to the productivity calculation device 100 of this embodiment, by estimating some of the survey results from objective data, it is possible to reduce the number of survey questions to be asked to individuals. Furthermore, according to the productivity calculation device 100 of this embodiment, it is possible to estimate intellectual productivity and influencing factors based on objective data in addition to subjective data. This allows the calculation results of intellectual productivity to not depend solely on subjective data, and the calculation accuracy can be further improved.

Embodiment 5.
In this embodiment, differences from and additions to the first embodiment will be mainly described.
In this embodiment, components having the same functions as those in the first embodiment are denoted by the same reference numerals, and the description thereof will be omitted.

***Configuration Description***
FIG. 19 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment.
1 described in the first embodiment, the productivity calculation device 100 according to the present embodiment includes a target value determination unit 191 and a parameter setting unit 192. Furthermore, the storage unit 150 stores the target value 54.
The other configurations are the same as those in the first embodiment.

The target value determination unit 191 acquires the survey results for the unit factors corresponding to the user's environment from among the plurality of unit factors, and then determines the target value 54 for the equipment in the user's environment based on the survey results for the unit factors corresponding to the user's environment.
The parameter setting unit 192 sets parameters of the equipment in the user's environment in accordance with the target values 54 .

***Explanation of Operation***
FIG. 20 is a flowchart showing the operation of the productivity calculation device 100 according to this embodiment.
The processes from step S101 to step S103 are the same as those in the first embodiment.

In step S501, the target value determination unit 191 determines the target value 54 of the equipment in the user's environment based on the results of a questionnaire regarding the unit factors corresponding to the user's environment.
Specifically, the target value determination unit 191 checks the results of a questionnaire related to the working environment in the productivity model 51 and determines the target value 54 for improving the working environment. At this time, the target value determination unit 191 may determine the target value 54 by reflecting an index other than productivity, such as happiness level or indoor environment satisfaction.
For example, if the results of a survey on thermal environment satisfaction are low, a target temperature for the room is determined to provide an appropriate thermal environment. To calculate the appropriate target temperature, a thermal comfort model such as PMV is utilized. PMV stands for Predicted Mean Vote. In PMV, a PMV close to 0 is generally considered comfortable.

In step S502, the parameter setting unit 192 sets the parameters of the equipment in the user's environment according to the target values 54. The equipment parameters are parameters for the operation of each equipment system. The parameter setting unit 192 transmits the parameters to the equipment and controls the equipment. Alternatively, the parameters may be notified to the user, who may then control the equipment as appropriate.

***Description of the Effects of This Embodiment***
According to the productivity calculation device 100 of this embodiment, it is possible to set a target value for the environment so as to maximize intellectual productivity, and to control equipment in accordance with the target value.

Embodiment 6.
In this embodiment, differences from the second and fourth embodiments and additional features to the second and fourth embodiments will be mainly described.
In this embodiment, components having the same functions as those in the second and fourth embodiments are given the same reference numerals, and the description thereof will be omitted.

***Configuration Description***
FIG. 21 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment.
The productivity calculation device 100 according to this embodiment includes an objective data collection unit 170 and a work environment estimation unit 171 in addition to the components shown in FIG. 12 described in the second embodiment.
Other configurations are the same as those in the second embodiment. The objective data collection unit 170 is the same as that in the fourth embodiment.

The objective data collection section 170 collects objective data, which is objective data on the user.
The work environment estimation unit 171 estimates a work environment suitable for a user based on objective data.

***Explanation of Operation***
FIG. 22 is a flowchart showing the operation of the productivity calculation device 100 according to this embodiment.
The processes from step S201 to step S205 are the same as those in the second embodiment.

In step S601, the objective data collection unit 170 collects objective data, which is objective data about the user. The objective data collection process is the same as step S401 in embodiment 4. Physical information, etc. is collected using a wearable device, and temperature information or information about the number of people present in the room, etc. is collected from an environmental sensor.

In step S602, the work environment estimation unit 171 estimates a work environment suitable for the user based on the objective data. The work environment estimation unit 171 compares the items with high and low contributions for the individual selected by the contribution comparison process with the objective data, and estimates a work environment suitable for the individual.
For example, for a user who contributes highly to communication, it is estimated that a work environment where many people closely related to the user's work are present is suitable, based on the attributes of the questionnaire and the number of people present collected by the objective data collection unit.The factors used as the basis for estimation include all elements included in the intellectual productivity model, such as the physical environment (temperature, humidity, light, etc.), as well as working hours and the number of co-workers.

FIG. 23 is a diagram showing an example of a display in which the estimation results according to this embodiment are described.
In the example of user A in Fig. 23, it can be seen that the contribution of the category "communication" is high at "90". The work environment estimation unit 171 refers to objective data related to communication between user A and estimates a work environment suitable for user A. In Fig. 23, the estimation result is displayed as "The optimal work environment is room A, because there are many people in the room and active communication occurs."

***Description of the Effects of This Embodiment***
According to the productivity calculation device 100 of this embodiment, it is possible to estimate and present a work environment that will maximize intellectual productivity for an individual.

In the above first to sixth embodiments, each unit of the productivity calculation device has been described as an independent functional block. However, the configuration of the productivity calculation device does not have to be the same as that of the above-described embodiments. The functional blocks of the productivity calculation device may have any configuration as long as they can realize the functions described in the above-described embodiments. Furthermore, the productivity calculation device may not be a single device, but may be a system composed of multiple devices.
Furthermore, it is possible to combine multiple parts of the first to sixth embodiments. Alternatively, it is possible to implement only one part of these embodiments. In addition, it is possible to implement any combination of these embodiments, either as a whole or in part.
That is, in the first to sixth embodiments, the embodiments can be freely combined, or any of the components in each embodiment can be modified, or any of the components in each embodiment can be omitted.

Note that the above-described embodiments are essentially preferred examples and are not intended to limit the scope of the present disclosure, the scope of applications of the present disclosure, or the scope of uses of the present disclosure. The above-described embodiments can be modified in various ways as needed. For example, procedures explained using flow charts or sequence diagrams may be modified as appropriate.

51 Intellectual productivity model, 52 Contribution rate, 53 Threshold, 54 Target value, 61 Intellectual productivity, 62 Contribution rate, 100 Productivity calculation device, 110 Questionnaire collection unit, 120 Calculation unit, 130 Threshold determination unit, 140 Contribution rate comparison unit, 150 Memory unit, 160 Attribute determination unit, 170 Objective data collection unit, 171 Work environment estimation unit, 180 Result estimation unit, 191 Target value determination unit, 192 Parameter setting unit, 511 Classification, 512 Intermediate factor, 513 Unit factor, 909 Electronic circuit, 910 Processor, 921 Memory, 922 Auxiliary storage device, 930 Input interface, 940 Output interface, 950 Communication device.

Claims (13)

A productivity calculation device for calculating intellectual productivity of a user performing intellectual activity,
an intellectual productivity model stored in a storage unit, comprising a plurality of classifications indicating factors that affect the intellectual activity of the user, intermediate factors included in each of the plurality of classifications, and a plurality of unit factors that contribute to the intermediate factors, and to which a contribution rate when each of the plurality of unit factors contributes to the intermediate factor and a contribution rate when the intermediate factor contributes to the intermediate factor of another classification are assigned, and the plurality of unit factors are aggregated into an intellectual productivity factor that indicates intellectual productivity, which is one of the intermediate factors;
a questionnaire collection unit that acquires a score for each of the plurality of unit factors from the user as a questionnaire result;
A productivity calculation device comprising: a calculation unit that inputs scores for each of the plurality of unit factors into the intellectual productivity model and obtains the scores for the intellectual productivity factors output from the intellectual productivity model as the intellectual productivity of the user. The productivity calculation device described in claim 1, wherein the multiple classifications include a classification indicating the attributes of the user, and the multiple unit factors contributing to the intermediate factors included in the classification indicating the attributes of the user are unit factors indicating the attributes of the user. The productivity calculation device described in claim 2, wherein the classification indicating the user's attributes includes at least one of a classification indicating the user's inner self, a classification indicating the user's communication ability, and a classification indicating the user's intellectual activity ability. The productivity calculation device described in claim 2 or claim 3, wherein the multiple classifications include a classification indicating the user's environment, and the multiple unit factors contributing to the intermediate factors included in the classification indicating the user's environment are unit factors indicating the user's intellectual activity environment. The productivity calculation device of claim 4, wherein the classification indicating the user's environment includes at least one of a classification indicating the user's work environment for intellectual activity and a classification indicating the user's relaxation environment. The calculation unit
6. The productivity calculation device according to claim 1, further comprising: a contribution level indicating the degree of contribution of each of the plurality of categories to the user's intellectual productivity; The calculation unit
Calculating the intellectual productivity and the contribution of each of the plurality of categories to the intellectual productivity for each of the plurality of users as the user;
The productivity calculation device
a threshold value determination unit that determines a threshold value for the intellectual productivity and the contribution level based on the intellectual productivity and the contribution level of each of the plurality of users;
The productivity calculation device according to claim 6 , further comprising a contribution comparison unit that extracts items higher than the threshold value and items lower than the threshold value for each of the plurality of users. the storage unit stores a plurality of intellectual productivity models in which contribution rates corresponding to the attributes of the users are set;
The productivity calculation device
an attribute determination unit that determines the attribute of the user based on information indicating the attribute of the user included in the questionnaire result;
The calculation unit
A productivity calculation device according to any one of claims 1 to 7, wherein an intellectual productivity model having a contribution rate corresponding to the attributes of the user is selected from the plurality of intellectual productivity models based on the attributes of the user. The productivity calculation device
an objective data collection unit that collects objective data that is objective data about the user;
The productivity calculation device according to claim 1 , further comprising a result estimation unit that estimates at least a part of the survey results based on the objective data. The productivity calculation device
a target value determination unit that acquires a survey result for a unit factor corresponding to the user's environment among the plurality of unit factors, and determines a target value for equipment in the user's environment based on the survey result for the unit factor corresponding to the user's environment;
The productivity calculation device according to claim 1 , further comprising: a parameter setting unit that sets parameters of equipment in the user's environment in accordance with the target value. The productivity calculation device
an objective data collection unit that collects objective data that is objective data about the user;
9. The productivity calculation device according to claim 1, further comprising a work environment estimation unit that estimates a work environment suitable for the user based on the objective data. A productivity calculation method used in a computer to calculate intellectual productivity of a user performing intellectual activity,
The computer stores an intellectual productivity model that includes a plurality of classifications indicating factors that affect the intellectual activity of the user, intermediate factors included in each of the plurality of classifications, and a plurality of unit factors that contribute to the intermediate factors, and is assigned a contribution rate when each of the plurality of unit factors contributes to the intermediate factor and a contribution rate when each of the intermediate factors contributes to the intermediate factors of other classifications, and the plurality of unit factors are aggregated into an intellectual productivity factor that indicates intellectual productivity, which is one of the intermediate factors;
a computer acquires a score for each of the plurality of unit factors from the user as a questionnaire result;
A productivity calculation method in which a computer inputs scores for each of the plurality of unit factors into the intellectual productivity model and obtains the scores for the intellectual productivity factors output from the intellectual productivity model as the intellectual productivity of the user. A productivity calculation program used in a computer to calculate the intellectual productivity of a user who performs intellectual activity,
a storage process for storing an intellectual productivity model comprising a plurality of classifications indicating factors that affect the intellectual activity of the user, intermediate factors included in each of the plurality of classifications, and a plurality of unit factors that contribute to the intermediate factors, each of which is assigned a contribution rate when the plurality of unit factors contribute to the intermediate factor and a contribution rate when the intermediate factor contributes to the intermediate factor of another classification, and in which the plurality of unit factors are aggregated into an intellectual productivity factor that indicates intellectual productivity, which is one of the intermediate factors;
a questionnaire collection process for acquiring a score for each of the plurality of unit factors from the user as a questionnaire result;
A productivity calculation program that causes a computer to execute a calculation process in which a score for each of the plurality of unit factors is input into the intellectual productivity model, and the score of the intellectual productivity factor output from the intellectual productivity model is obtained as the intellectual productivity of the user.