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

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

[0001] The present disclosure relates to a productivity calculation device, a productivity calculation method, and a productivity calculation program.

[0002] Research is being conducted into calculating the intellectual productivity of office workers based on subjective evaluations. In Patent Literature 1, individuals are asked to periodically input subjective evaluations of their intellectual activities, and the impact of their intellectual activities on their intellectual productivity is evaluated.

[0003] JP 2011-175479 A

[0004] The technology of Patent Document 1 evaluates the degree of influence of factors that directly affect intellectual productivity, such as meetings, document creation, and document viewing. On the other hand, when calculating intellectual productivity, it is necessary to also consider the degree of influence of factors that indirectly affect intellectual productivity, such as an individual's personality, occupation, or indoor environment. The technology of Patent Document 1 cannot evaluate the degree of influence of factors that indirectly affect intellectual productivity, and therefore has the problem of low accuracy in calculating intellectual productivity.

[0005] The present disclosure aims to improve the accuracy of calculating intellectual productivity.

[0006] The productivity calculation device according to the present disclosure is a productivity calculation device that calculates the intellectual productivity of a user who engages in intellectual activity, and is equipped with: an intellectual productivity model that is stored in a memory unit and includes a plurality of classifications that indicate factors that influence 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 the intermediate factor contributes to the intermediate factor of another classification, 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 obtains scores for each of the plurality of unit factors from the user as questionnaire results; and a calculation unit that inputs the scores for each of the plurality of unit factors into the intellectual productivity model and obtains the score of the intellectual productivity factor output from the intellectual productivity model as the intellectual productivity of the user.

[0007] The productivity calculation device according to the present disclosure aims to improve the accuracy of calculating intellectual productivity.

[0008] FIG. 1 is a diagram showing an example of the configuration of a productivity calculation device according to embodiment 1. FIG. 2 is a diagram showing an example of the overall configuration of an intellectual productivity model according to embodiment 1. FIG. 3 is a diagram showing an example of a partial configuration of an intellectual productivity model according to embodiment 1. FIG. 4 is a diagram showing an example of a partial configuration of an intellectual productivity model according to embodiment 1. FIG. 5 is a diagram showing an example of a partial configuration of an intellectual productivity model according to embodiment 1. FIG. 6 is a diagram showing an example of a partial configuration of an intellectual productivity model according to embodiment 1. FIG. 7 is a diagram showing a formula for calculating intellectual productivity using the intellectual productivity model according to embodiment 1. FIG. 8 is a flow diagram showing the operation of a productivity calculation device according to embodiment 1. FIG. 9 is a diagram showing an example of a display of intellectual productivity and contribution rate according to embodiment 1. FIG. 10 is a diagram showing an example of a configuration of a productivity calculation device according to a modification of embodiment 1. FIG. 11 is a diagram showing an example of a configuration of a productivity calculation device according to embodiment 2. FIG. 12 is a diagram showing an example of a configuration of a productivity calculation device according to embodiment 2. FIG. 13 is a flow diagram showing the operation of a productivity calculation device according to embodiment 2. FIG. 14 is a diagram showing an example of a configuration of a productivity calculation device according to embodiment 3. FIG. 15 is a flow diagram showing the operation of a productivity calculation device according to embodiment 3. FIG. 16 is a diagram showing an example of a configuration of a productivity calculation device according to embodiment 4. FIG. 17 is a flow diagram showing the operation of a productivity calculation device according to embodiment 4. Fig. 10 is a flow diagram showing the operation of the productivity calculation device according to embodiment 5. Fig. 11 is a diagram showing an example of the configuration of the productivity calculation device according to embodiment 6. Fig. 12 is a flow diagram showing the operation of the productivity calculation device according to embodiment 6. Fig. 13 is a diagram showing an example of a display in which estimation results according to embodiment 6 are described.

[0009] The present embodiment will be described below 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 mainly indicate the flow of data or the flow of processing. Furthermore, the sized relationships between components in the following drawings 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.

[0010] Embodiment 1. ***Description of Configuration*** 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 this other hardware.

[0011] 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.

[0012] 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. 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.

[0013] 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.

[0014] 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 saves 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, flexible disk, optical disk, compact disk, Blu-ray (registered trademark) disk, or 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.

[0015] The input interface 930 is a port connected to an input device such as a mouse, keyboard, or touch panel. Specifically, the input interface 930 is a USB terminal. The input interface 930 may also be a port connected to a LAN. USB is an abbreviation for Universal Serial Bus. LAN is an abbreviation for Local Area Network.

[0016] The output interface 940 is a port to which a cable of 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.

[0017] 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.

[0018] The productivity calculation program is executed in the productivity calculation device 100. The productivity calculation program is read into the processor 910 and executed by the processor 910. The memory 921 stores not only the productivity calculation program but also an 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 the OS may be stored in an auxiliary storage device 922. The productivity calculation program and the OS stored in the auxiliary storage device 922 are loaded into the memory 921 and executed by the processor 910. Note that part or all of the productivity calculation program may be incorporated into the OS.

[0019] The productivity calculation device 100 may include multiple processors that replace the processor 910. These multiple processors share the task of executing the productivity calculation program. Each processor is a device that executes the productivity calculation program in the same way as the processor 910.

[0020] Data, information, signal values ​​and variable values ​​used, processed or output by the productivity calculation program are stored in the memory 921 , the auxiliary storage device 922 , or a register or cache memory within the processor 910 .

[0021] 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 a "program," a "program product," a "computer-readable storage medium storing a program," or a "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. The productivity calculation program may be provided as a program product.

[0022] ***About the Intellectual Productivity Model 51*** Fig. 2 is a diagram showing an example of the overall configuration of the intellectual productivity model 51 according to this embodiment. Fig. 3 is a diagram showing an example of a partial configuration of the intellectual 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 the intellectual productivity model 51 according to this embodiment. Fig. 6 is a diagram showing an example of a partial configuration of the intellectual productivity model 51 according to this embodiment. Fig. 7 is a diagram showing an example of a partial configuration of the intellectual productivity model 51 according to this embodiment.

[0023] The intellectual productivity model 51 shown in Fig. 2 will now be described. The intellectual productivity model 51 calculates intellectual productivity from a plurality of unit factors classified into five categories, for example, "intellectual activity," "inner self," "relaxation," "communication," and "environment." In Fig. 2, arrows indicate contribution rates 52 in the intellectual productivity model 51. Specific numerical values ​​of the contribution rates 52 are shown in Figs. 3 to 7.

[0024] 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 given between all factors. The contribution rates shown in Figures 3 to 7 only show contribution rates 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 given a contribution rate to intellectual productivity. The method of calculating intellectual productivity using the intellectual productivity model 51 will be described later.

[0025] The intellectual productivity model 51 includes a plurality of categories 511 indicating factors that influence the user's intellectual activity, intermediate factors 512 included in each of the plurality of categories 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 a factor. The user assigns a score to each of the plurality of unit factors 513 in a questionnaire intended to investigate intellectual productivity. For example, the intellectual productivity survey questionnaire includes one or more questions for each of 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 intellectual productivity model 51 receives the score for each of the plurality of unit factors 513 obtained from the user as input and outputs the user's intellectual productivity.

[0026] The plurality of unit factors 513 are factors that affect the intellectual activity of an individual. The plurality of unit factors 513 are divided into a plurality of classifications 511. In Fig. 2, the plurality of unit factors 513 are indicated by square frames. The unit factors in Fig. 2 are an example, and unit factors can be added or deleted as desired.

[0027] Specifically, the plurality of categories 511 are five categories: environment, inner self, relaxation, communication, and intellectual activity. In Fig. 2, each of the plurality of unit factors 513 is classified into one of these five categories. The categories in Fig. 2 are an example, and categories may be added or deleted as desired.

[0028] The intermediate factors 512 are higher-level factors than the unit factors 513 included in each classification. The intermediate factors 512 are higher-level factors that aggregate the multiple unit factors 513 included in each classification. In Fig. 2, the intermediate factors 512 are indicated by oval frames. The intermediate factors in Fig. 2 are just an example, and intermediate factors can be added or deleted as desired.

[0029] For example, the category "relaxation" includes multiple unit factors "rest," "entertainment," "drinks and snacks," "relaxation," and "refreshment." The upper level intermediate factor for the unit factors "rest," "entertainment," and "drinks and snacks" is "refreshment." Furthermore, the upper level intermediate factor for "relaxation" and "refreshment" is "relaxation."

[0030] 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. Specific examples of the contribution rate 52 in the productivity model 51 are shown in Figures 3 to 7.

[0031] In the intellectual productivity model 51, the contribution rate when an intermediate factor 512 contributes to an intermediate factor 512 of another class 511 is assigned, so it is possible to calculate intellectual productivity that precisely reflects the degree of influence of indirect factors on the intellectual activity of a user. Also, in the intellectual productivity model 51, the contribution rate when an intermediate factor 512 contributes to an intermediate factor 512 of the same class 511 is assigned, so it is possible to calculate intellectual productivity that precisely reflects the degree of influence of indirect factors on the intellectual activity of a user.

[0032] In the 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 FIG. 2, the classification "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 score of the user's intellectual productivity that is finally calculated based on the scores of all unit factors included in the intellectual productivity model 51.

[0033] 8 is a diagram showing a calculation formula for intellectual productivity using the intellectual productivity model 51 according to this embodiment. Intellectual productivity is calculated using the following formula (1).

[0034] The formula 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

[0035] Furthermore, A, I, R, C, and E are calculated using the formula 2.

[0036] The formula 2 is as follows: A: Contribution rate of each item of intellectual activity v: Response value of the questionnaire result for each item of intellectual activity b: Contribution rate of each item of inner life w: Response value of the questionnaire result for each item of inner life c: Contribution rate of each item of relaxation x: Response value of the questionnaire result for each item of relaxation d: Contribution rate of each item of communication y: Response value of the questionnaire result for each item of communication e: Contribution rate of each item of environment z: Response value of the questionnaire result for each item of environment

[0037] Furthermore, v, w, x, y, and z are calculated using the formula 3.

[0038] The formula 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

[0039] In the intellectual productivity model 51, the multiple categories 511 include categories that indicate the attributes of the user. Furthermore, the multiple unit factors 513 that contribute to the intermediate factors 512 included in the category 511 that indicates the attributes of the user are unit factors that indicate the attributes of the user. The categories that indicate the attributes of the user include at least one of the following: a category "inner self" that indicates the inner self of the user, a category "communication" that indicates the communication ability of the user, and a category "intellectual activity" that indicates the intellectual activity ability of the user. The intellectual productivity model 51 of FIG. 2 includes the categories "inner self," "communication," and "intellectual activity" as categories that indicate the attributes of the user. 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.

[0040] In the intellectual productivity model 51, the multiple categories 511 include a category that indicates the user's environment. Furthermore, the multiple unit factors 513 that contribute to the intermediate factors 512 included in the category 511 that indicates the user's environment are unit factors that indicate the environment for the user's intellectual activity. The category that indicates the user's environment includes at least one of the category "environment" that indicates the user's work environment for intellectual activity and the category "relaxation" that indicates the environment in which the user relaxes. The intellectual productivity model 51 in FIG. 2 includes the category "environment" and the category "relaxation" as categories that indicate the user's environment. The unit factors included in these category are unit factors that indicate the environment when working, such as the user's work environment or relaxation environment.

[0041] ***Description of Operation*** Next, the operation of the productivity calculation device 100 according to this embodiment will be described. The operating 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.

[0042] FIG. 9 is a flowchart showing the operation of the productivity calculation device 100 according to this embodiment.

[0043] 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 a plurality of unit factors. For example, the questionnaire questions include one or more questions for each factor represented by a 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.

[0044] 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 contribution rate may be assigned to the productivity model 51 in advance. The calculation unit 120 transmits a response value to the productivity model that reflects the contribution rate in the contribution rate storage unit. The calculation result by the model is returned to the productivity calculation unit.

[0045] The calculation unit 120 acquires 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.

[0046] The contribution 62 of each of the multiple categories is obtained in the process of calculating the intellectual productivity 61, as described in Fig. 8. The calculation unit 120 inputs the scores for each of the multiple unit factors into the intellectual productivity model 51, and obtains the intellectual productivity 61 and the contribution 62 of each of the multiple categories.

[0047] 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.

[0048] 10 is a diagram showing an example of displaying intellectual productivity 61 and contribution 62 according to this embodiment. In FIG. 10, for user "User: 0001," an example is shown in which intellectual productivity is displayed as "85 points," the contribution to the category "inner self" is displayed as "42 points," and the contribution to the category "relaxation" is displayed as "34 points."

[0049] ***Other Configurations*** In this embodiment, the functions of the questionnaire collection unit 110 and the calculation unit 120 are realized by software. As a variation, 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.

[0050] 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.

[0051] The functions of the questionnaire collection unit 110 and the calculation unit 120 may be realized by a single electronic circuit, or may be realized by distributing them across multiple electronic circuits.

[0052] As another modification, some of the functions of the questionnaire collection unit 110 and the calculation unit 120 may be realized by electronic circuits, and the remaining functions may be realized by software. Also, some or all of the functions of the questionnaire collection unit 110 and the calculation unit 120 may be realized by firmware.

[0053] Each of the processor and the electronic circuit is also called a processing circuitry. That is, the functions of the questionnaire collection unit 110 and the calculation unit 120 are realized by the processing circuitry.

[0054] ***Explanation of the Effects of the Present Embodiment*** As described above, the productivity calculation device 100 according to the present 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 the present 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.

[0055] 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. Also, in the intellectual productivity model, the contribution rate when an intermediate factor contributes to an intermediate factor of the same category is assigned. Therefore, it is possible to calculate intellectual productivity that precisely reflects the degree of influence of indirect factors on the intellectual activity of a user.

[0056] Embodiment 2 In this embodiment, differences from and additions to embodiment 1 will be mainly described. In this embodiment, components having the same functions as those in embodiment 1 will be assigned the same reference numerals, and descriptions thereof will be omitted.

[0057] ***Description of Configuration*** Fig. 12 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment. In addition to the components shown in Fig. 1 described in embodiment 1, the productivity calculation device 100 according to this embodiment includes a threshold value determination unit 130 and a contribution degree comparison unit 140. The other configurations are the same as those in embodiment 1.

[0058] In this embodiment, the calculation unit 120 calculates, for each of a plurality of users, the user's intellectual productivity 61 and the contribution degree 62 of each of a plurality of categories in intellectual productivity. The threshold determination unit 130 determines a threshold 53 for intellectual productivity and contribution degree based on the intellectual productivity 61 and contribution degree 62 of each of the plurality of users. The contribution degree comparison unit 140 extracts, for each of the plurality of users, items that are higher than the threshold 53 and items that are lower than the threshold 53. The contribution degree comparison unit 140 displays the intellectual productivity 61 and contribution degree 62 for each of the plurality of users. At this time, the contribution degree comparison unit 140 visualizes and displays items that are higher than the threshold 53 and items that are lower than the threshold 53 for the intellectual productivity 61 and contribution degree 62.

[0059] 13 is a diagram showing an example of displaying intellectual productivity 61 and contribution level 62 according to this embodiment. The intellectual productivity 61 and contribution level 62 for each category 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.

[0060] ***Description of Operation*** Fig. 14 is a flow diagram showing the operation of the productivity calculation device 100 according to this embodiment. In step S201, the questionnaire collection unit 110 acquires, as questionnaire results, scores for each of a plurality of unit factors from each of a plurality of users. Then, the questionnaire collection unit 110 outputs the response values ​​of each of the plurality of users to the calculation unit 120. The processing of step S201 is the same as step S101.

[0061] 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 processing of step S202 is the same as step S102.

[0062] In step S203, the threshold determination unit 130 determines a threshold value 53 for intellectual productivity and contribution level based on the intellectual productivity 61 and contribution level 62 for each of the multiple users. The threshold value 53 is a reference value for comparing intellectual productivity and contribution level. For example, the threshold determination unit 130 determines the threshold value 53 from the average of the contribution level 62 for each category for each of the multiple users.

[0063] In step S204, the contribution comparison unit 140 compares the intellectual productivity 61 and the contribution 62 with the respective thresholds 53 for each of the multiple users. The contribution comparison unit 140 extracts items higher than the threshold 53 and items 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, along with items higher than the threshold 53 and items lower than the threshold 53. In FIG. 13, scores higher than the threshold 53 are indicated in bold, and scores lower than the threshold 53 are underlined. In FIG. 13, the intellectual productivity 61 and the contribution 62 are displayed for each individual, and a comparison with the threshold 53 is performed. Comparisons can also be made by group, such as by department. Time series comparisons, such as comparisons with the past, are also possible.

[0064] ***Explanation of the Effects of This Embodiment*** According to the productivity calculation device 100 of this embodiment, it is possible to identify the 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.

[0065] Embodiment 3 In this embodiment, differences from and additions to embodiment 1 will be mainly described. In this embodiment, components having the same functions as those in embodiment 1 will be assigned the same reference numerals, and descriptions thereof will be omitted.

[0066] ***Description of Configuration*** 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 embodiment 1. The other configurations are the same as those in embodiment 1.

[0067] In this embodiment, a mode of calculating intellectual productivity using an intellectual productivity model 51 that reflects different contribution rates for each individual attribute will be described.

[0068] In this embodiment, the storage unit 150 stores a plurality of productivity models 51, each having a contribution rate 52 corresponding to a user's attributes. Specifically, the storage unit 150 stores a plurality of contribution rates 52 corresponding to a user's attributes. For example, the storage unit 150 stores a contribution rate 52 corresponding to each of a plurality of types of user attributes, such as personality, occupation, gender, or preferences. Specifically, the storage unit 150 stores contribution rates 52 such as information processing type, knowledge processing type, comprehensive processing type, relaxation life, and creative type. Note that a plurality of productivity models 51, each having a contribution rate 52 such as information processing type, knowledge processing type, comprehensive processing type, relaxation life, and creative type, may be stored.

[0069] The contribution rate 52 is a value more suitable for calculating intellectual productivity depending on the user's attributes, such as information processing type, knowledge processing type, comprehensive processing type, relaxed life, and creative type.

[0070] 16 is a flow diagram showing the operation of the productivity calculation device 100 according to this embodiment. The process of step S101 is the same as that of the first embodiment.

[0071] In step S301, the attribute determination unit 160 determines the user's attributes based on information indicating the user's attributes included in the questionnaire results. Specifically, the attribute determination unit 160 reads the personal attributes described 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." Note that other indices may also be used to determine the user's attributes.

[0072] 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 a plurality of 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 from a plurality of contribution rates 52 a contribution rate corresponding to the user's attributes and reflects it in the productivity model 51. The calculation unit 120 then calculates the intellectual productivity and the contribution rate of each category from the productivity model reflecting the attribute-based contribution rate. The method of calculating the user's intellectual productivity 61 and the contribution rate 62 of each category is the same as in embodiment 1.

[0073] The process in step S103 is the same as in the first embodiment.

[0074] ***Explanation of the Effects of the Present Embodiment*** According to the productivity calculation device 100 of the present embodiment, it is possible to calculate intellectual productivity according to the attributes of an individual. This makes it possible to more accurately estimate intellectual productivity and the factors that have influenced it.

[0075] Embodiment 4 In this embodiment, differences from and additions to embodiment 1 will be mainly described. In this embodiment, components having the same functions as those in embodiment 1 will be assigned the same reference numerals, and descriptions thereof will be omitted.

[0076] ***Description of Configuration*** Fig. 17 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment. In addition to the components shown in Fig. 1 described in embodiment 1, the productivity calculation device 100 according to this embodiment includes an objective data collection unit 170 and a result estimation unit 180. The other configurations are the same as those in embodiment 1.

[0077] In this embodiment, a mode of estimating some survey results from individual objective data will be described. The objective data collection unit 170 collects objective data, which is objective data on users. The result estimation unit 180 estimates at least some of the survey results based on the objective data.

[0078] 18 is a flow diagram showing the operation of the productivity calculation device 100 according to this embodiment. The process of step S101 is the same as that of the first embodiment.

[0079] In step S401, the objective data collection unit 170 collects objective data, which is objective data on the user. Physical information such as heart rate, brain waves, and pulse waves is collected using a wearable device or the like. Information such as temperature, brightness, and air quality is also collected from environmental sensors. 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 are estimated.

[0080] The processes of steps S102 and S103 are the same as those of embodiment 1. In Fig. 18, questionnaire results are collected in step S101, and objective data is collected in step S401. The processes of steps S101 and S401 may be performed in any order, or may be performed in parallel.

[0081] ***Explanation 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 posed 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 makes it possible to improve the calculation accuracy without the calculation results of intellectual productivity relying solely on subjective data.

[0082] Embodiment 5 In this embodiment, differences from and additions to embodiment 1 will be mainly described. In this embodiment, components having the same functions as those in embodiment 1 will be assigned the same reference numerals, and descriptions thereof will be omitted.

[0083] ***Description of Configuration*** Fig. 19 is a diagram showing an example of the configuration of a productivity calculation device 100 according to this embodiment. In addition to the components shown in Fig. 1 described in embodiment 1, the productivity calculation device 100 according to this embodiment includes a target value determination unit 191 and a parameter setting unit 192. Also, a target value 54 is stored in a storage unit 150. The other configuration is the same as in embodiment 1.

[0084] The target value determination unit 191 acquires the results of a questionnaire regarding a unit factor corresponding to the user's environment among a plurality of unit factors. Then, the target value determination unit 191 determines a target value 54 for the equipment in the user's environment based on the results of the questionnaire regarding the unit factor corresponding to the user's environment. The parameter setting unit 192 sets parameters for the equipment in the user's environment in accordance with the target value 54.

[0085] 20 is a flow chart 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.

[0086] In step S501, the target value determination unit 191 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. Specifically, the target value determination unit 191 checks the results of a survey 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 indicators other than productivity, such as happiness or indoor environment satisfaction. For example, if the survey result on thermal environment satisfaction is low, the 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 is an abbreviation for predicted mean vote. In PMV, a PMV close to 0 is generally considered comfortable.

[0087] In step S502, the parameter setting unit 192 sets parameters for the equipment in the user's environment according to the target values ​​54. The equipment parameters are parameters for operating 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.

[0088] ***Explanation 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.

[0089] Embodiment 6 In this embodiment, differences from and additions to embodiments 2 and 4 will be mainly described. In this embodiment, components having the same functions as those in embodiments 2 and 4 will be assigned the same reference numerals, and descriptions thereof will be omitted.

[0090] ***Description of Configuration*** FIG. 21 is a diagram showing an example of the configuration of productivity calculation apparatus 100 according to this embodiment. Productivity calculation apparatus 100 according to this embodiment includes, in addition to the components shown in FIG. 12 described in embodiment 2, an objective data collection unit 170 and a work environment estimation unit 171. The other configuration is the same as in embodiment 2. Furthermore, objective data collection unit 170 is the same as in embodiment 4.

[0091] The objective data collection unit 170 collects objective data, which is objective data about the user. The work environment estimation unit 171 estimates a work environment suitable for the user based on the objective data.

[0092] 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.

[0093] In step S601, objective data collection unit 170 collects objective data, which is objective data about the user. The objective data collection process is similar to step S401 in embodiment 4. Physical information and the like are collected by a wearable device, and temperature information or information about the number of people in a room and the like are collected from an environmental sensor.

[0094] 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 to estimate a work environment suitable for the individual. For example, for a user with a high level of communication contribution, it estimates 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. 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 coworkers.

[0095] Fig. 23 is a diagram showing an example of a display showing the estimation results according to this embodiment. 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 the communication of user A and estimates a work environment suitable for user A. In Fig. 23, the estimation result displayed is "The optimal work environment is room A, because there are many people in the room and active communication occurs."

[0096] ***Description of 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.

[0097] In the above first to sixth embodiments, each unit of the productivity calculation apparatus has been described as an independent functional block. However, the configuration of the productivity calculation apparatus does not have to be the same as that of the above-described embodiments. The functional blocks of the productivity calculation apparatus may have any configuration as long as they can realize the functions described in the above-described embodiments. Furthermore, the productivity calculation apparatus may not be a single device, but may be a system composed of multiple devices. Furthermore, multiple parts of the first to sixth embodiments may be combined and implemented. Alternatively, only one part of these embodiments may be implemented. In addition, these embodiments may be combined in any way, either as a whole or in part. In other words, in the first to sixth embodiments, the embodiments may be freely combined, or any component of each embodiment may be modified, or any component of each embodiment may be omitted.

[0098] The above-described embodiments are essentially preferred examples and are not intended to limit the scope of the present disclosure, the scope of application of the present disclosure, or the scope of use of the present disclosure. The above-described embodiments can be modified in various ways as needed. For example, the procedures described using flow charts or sequence diagrams may be modified as appropriate.

[0099] 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 value 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

1. A productivity calculation device that calculates the intellectual productivity of a user who engages in intellectual activity, comprising: an intellectual productivity model stored in a memory unit and comprising: a plurality of classifications indicating factors that influence 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 obtains scores for each of the plurality of unit factors from the user as questionnaire results; and a calculation unit that inputs the scores for each of the plurality of unit factors into the intellectual productivity model and obtains the score of the intellectual productivity factor output from the intellectual productivity model as the intellectual productivity of the user.

2. The productivity calculation device of claim 1, wherein the plurality of classifications includes a classification indicating the attributes of the user, and the plurality of unit factors that contribute to the intermediate factors included in the classification indicating the attributes of the user are unit factors indicating the attributes of the user.

3. The productivity calculation device of claim 2, wherein the classification indicating the attributes of the user includes at least one of a classification indicating the inner self of the user, a classification indicating the communication ability of the user, and a classification indicating the intellectual activity ability of the user.

4. A productivity calculation device as described in claim 2 or claim 3, wherein the plurality of classifications includes a classification indicating the user's environment, and the plurality of unit factors that contribute to the intermediate factors included in the classification indicating the user's environment are unit factors that indicate the environment of the user's intellectual activity.

5. A productivity calculation device as described in 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 environment for relaxation.

6. A productivity calculation device described in any one of claims 1 to 5, wherein the calculation unit calculates the intellectual productivity of the user and a contribution level indicating the degree of contribution of each of the multiple categories to the intellectual productivity.

7. The productivity calculation device described in claim 6, wherein the calculation unit calculates the intellectual productivity and the contribution of each of the plurality of categories in the intellectual productivity for each of the plurality of users, and the productivity calculation device comprises: a threshold determination unit that determines a threshold for the intellectual productivity and the contribution based on the intellectual productivity and the contribution for each of the plurality of users; and a contribution comparison unit that extracts items higher than the threshold and items lower than the threshold for each of the plurality of users.

8. A productivity calculation device according to any one of claims 1 to 7, wherein the memory unit stores a plurality of intellectual productivity models, each having a contribution rate set corresponding to the user's attributes, and the productivity calculation device includes an attribute determination unit that determines the user's attributes based on information indicating the user's attributes included in the survey results, and the calculation unit selects the intellectual productivity model, from the plurality of intellectual productivity models, that has a contribution rate set corresponding to the user's attributes, based on the user's attributes.

9. The productivity calculation device according to any one of claims 1 to 8, comprising: an objective data collection unit that collects objective data, which is objective data on the users; and a result estimation unit that estimates at least a portion of the survey results based on the objective data.

10. The productivity calculation device according to any one of claims 1 to 9, comprising: a target value determination unit that acquires survey results for unit factors among the plurality of unit factors that correspond to the user's environment, and determines target values ​​for equipment in the user's environment based on the survey results for the unit factors that correspond to the user's environment; and a parameter setting unit that sets parameters for the equipment in the user's environment in accordance with the target values.

11. The productivity calculation device according to any one of claims 1 to 8, comprising: an objective data collection unit that collects objective data, which is objective data on the user; and a work environment estimation unit that estimates a work environment suitable for the user based on the objective data.

12. A productivity calculation method used in a computer that calculates the intellectual productivity of a user engaged in intellectual activity, the computer storing an intellectual productivity model that includes a plurality of classifications indicating factors that influence 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 that 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 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; the computer obtaining scores for each of the plurality of unit factors from the user as questionnaire results; the computer inputting the scores for each of the plurality of unit factors into the intellectual productivity model, and obtaining the score of the intellectual productivity factor output from the intellectual productivity model as the intellectual productivity of the user.

13. A productivity calculation program used in a computer that calculates the intellectual productivity of a user engaged in intellectual activity, the program causing a computer to execute the following steps: a storage process for storing an intellectual productivity model comprising a plurality of classifications indicating factors that influence 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 factors of other classifications, 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 obtaining a score for each of the plurality of unit factors from the user as a questionnaire result; and a calculation process for inputting the score for each of the plurality of unit factors into the intellectual productivity model and obtaining the score for the intellectual productivity factor output from the intellectual productivity model as the intellectual productivity of the user.

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