Happiness model generation device, happiness degree calculation device, happiness degree calculation system, happiness degree model generation method, happiness degree calculation method, happiness degree model generation program, and happiness degree calculation program

Abstract

The happiness model generating device (100) includes a questionnaire content construction unit (110) and a happiness model construction unit (140). The questionnaire content construction unit (110) constructs a questionnaire for model construction, which is a happiness model that estimates the happiness of a subject based on the results of a happiness survey questionnaire administered to the subject, and is used to construct a happiness model that explains the happiness of the subject from three factors: a factor related to the subject's work, a first private life factor that is a factor related to the subject's private life, and a second private life factor that is not included in the first private life factor among the factors related to the subject's private life. The happiness model construction unit (140) constructs the happiness model based on questionnaire items that grasp the happiness and questionnaire items that are correlated with the happiness of the subject among the questionnaire items of the model construction questionnaire.

Description

[Technical field]

[0001] The present disclosure relates to a happiness model generation device, a happiness calculation device, a happiness calculation system, a happiness model generation method, a happiness calculation method, a happiness model generation program, and a happiness calculation program. [Background technology]

[0002] Research is being conducted to use the results of visualizing people's happiness to improve the performance of office workers. Non-Patent Document 1 discloses a technology for analyzing the frequency distribution of duration of physical activity from the amount of activity collected using a wearable device, and estimating the user's happiness level from the state of the analyzed frequency distribution. [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] "Measuring happiness using wearable technology: Technology that will dramatically improve the productivity of knowledge labor and service work," Hitachi Review, June-July 2015, pp.78-83, Hitachi, Ltd. Summary of the Invention [Problem to be solved by the invention]

[0004] According to the technology disclosed in Non-Patent Document 1, it is possible to estimate happiness level from the distribution of activity amount, but there is a problem in that it is not possible to identify factors that affect happiness level. The present disclosure aims to identify factors that affect happiness levels in a technology for estimating happiness levels. [Means for solving the problem]

[0005] The happiness model generation device according to the present disclosure includes: a questionnaire content construction unit that constructs a happiness model, which is a model that estimates the happiness of a subject based on the results of a happiness survey questionnaire administered to the subject, and explains the happiness of the subject from three factors: a factor related to the subject's work, a first private life factor that is a factor related to the subject's private life, and a second private life factor that is a factor related to the subject's private life that is not included in the first private life factor; and a happiness model construction unit that constructs the happiness model based on questionnaire items for grasping happiness levels extracted based on results of conducting the model construction questionnaire from among the questionnaire items of the model construction questionnaire, and questionnaire items correlated with happiness levels extracted based on results of conducting the model construction questionnaire from among the questionnaire items of the model construction questionnaire; Equipped with The happiness survey questionnaire is a questionnaire for obtaining information to be input into the happiness model. Effect of the Invention

[0006] According to the present disclosure, the happiness model construction unit constructs a happiness model that explains the happiness level from three factors. Here, the happiness level of a target person can be estimated using the constructed happiness model. Therefore, according to the present disclosure, in the technology for estimating the happiness level, factors that affect the happiness level can be identified. [Brief description of the drawings]

[0007] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a happiness model generation device 100 according to a first embodiment. [Diagram 2] A diagram explaining the happiness model 141. [Diagram 3] FIG. 1 is a diagram showing an example of the configuration of a happiness calculation device 200 according to the first embodiment. [Figure 4] FIG. 1 is a diagram showing an example of the hardware configuration of a happiness model generation device 100 according to the first embodiment. [Diagram 5]3 is a flowchart showing the operation of the happiness model generation device 100 according to the first embodiment. [Figure 6] 4 is a flowchart showing the operation of the happiness calculation device 200 according to the first embodiment. [Figure 7] FIG. 13 is a diagram showing an example of the hardware configuration of the happiness model generation device 100 according to a modification of the first embodiment. [Figure 8] FIG. 11 is a diagram showing an example of the configuration of a happiness calculation device 200 according to the second embodiment. [Figure 9] 10 is a flowchart showing the operation of the happiness calculation device 200 according to the second embodiment. [Figure 10] FIG. 11 is a diagram showing an example of the configuration of a happiness model generation device 100 according to the third embodiment. [Figure 11] FIG. 11 is a diagram showing an example of the configuration of a happiness calculation device 200 according to the third embodiment. [Figure 12] 10 is a flowchart showing the operation of the happiness model generation device 100 according to the third embodiment. [Figure 13] 11 is a flowchart showing the operation of the happiness calculation device 200 according to the third embodiment. [Figure 14] FIG. 13 is a diagram showing an example of the configuration of a happiness level calculation system 90 according to the fourth embodiment. [Figure 15] 10 is a flowchart showing the operation of the happiness level calculation system 90 according to the fourth embodiment. [Figure 16] FIG. 13 is a diagram showing a configuration example of a happiness calculation device 200 according to embodiment 5. [Figure 17] 13 is a flowchart showing the operation of the happiness calculation device 200 according to the fifth embodiment. [Figure 18] FIG. 23 is a diagram showing a configuration example of a happiness calculation device 200 according to the sixth embodiment. [Figure 19] 13 is a flowchart showing the operation of the happiness calculation device 200 according to the sixth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] In the description of the embodiments and the drawings, the same elements and corresponding elements are given the same reference numerals. Descriptions of elements given the same reference numerals are omitted or simplified as appropriate. Arrows in the drawings primarily indicate data flow or processing flow. In addition, "part" may be read as "circuit," "step," "procedure," "processing," or "circuitry" as appropriate.

[0009] Embodiment 1 Hereinafter, the present embodiment will be described in detail with reference to the drawings.

[0010] ***Configuration Description*** 1 shows an example of the configuration of a happiness model generation device 100 according to this embodiment. As shown in FIG. 1, the happiness model generation device 100 includes a questionnaire content construction unit 110, a questionnaire collection unit 120, a questionnaire result extraction unit 130, a happiness model construction unit 140, and a happiness model output unit 150.

[0011] The questionnaire content construction unit 110 constructs a questionnaire 111 . The questionnaire content construction unit 110 may construct the questionnaire 111 using a questionnaire template. When using a template, the questionnaire content construction unit 110 selects a question from the template as a specific example and converts the format of the question indicated by the template. Here, although a question about the number of friends or a question about annual income can be answered quantitatively, there are individual differences in the evaluation of happiness based on the number of friends or the evaluation of happiness based on annual income. Therefore, by changing the question to a question expressed as "Is xx ideal?", the respondent is asked to answer the question while imagining a deviation from the best state for the respondent. The best state may be an unrealistic ideal state, or may be a realistic ideal state. Note that a question expressed as "Are you satisfied with xx?" may cause the respondent to imagine a deviation from the minimum state, and is not recommended because it is a question that makes it difficult to express individual differences in happiness. That is, the wording of the questionnaire items of the model construction questionnaire is such that the respondent of the model construction questionnaire can answer while imagining a deviation from the best state for the respondent.

[0012] The questionnaire 111 is a questionnaire for constructing the happiness model 141, and is also called a model construction questionnaire. In this case, the questionnaire content construction unit 110 selects the question content and creates a question sentence corresponding to the selected question content. The questionnaire 111 usually consists of a large number of items. The happiness model 141 is a model for estimating the happiness of a subject based on the result of a happiness survey questionnaire administered to the subject, and is a model for explaining the happiness from three factors: a factor related to the subject's work, a first private life factor of the subject, and a second private life factor of the subject. The first private life factor is a factor related to private life. The second private life factor is a factor related to private life that is not included in the first private life factor. The happiness survey questionnaire is a questionnaire for acquiring information to be input to the happiness model 141, and is composed of a questionnaire item for grasping the happiness level and a questionnaire item correlated with the happiness level. The questionnaire 111 includes questionnaire items for grasping the degree of happiness and questionnaire items that are correlated with the degree of happiness. The questionnaire items for grasping happiness are those to be administered in order to confirm the accuracy of the happiness level calculated by the happiness model141. The questionnaire items for grasping happiness consist of at least one of the following, as specific examples: questionnaire items related to the "Life Satisfaction Scale" and questionnaire items related to the "Four Factors of Happiness." Specific examples of the "Life Satisfaction Scale" are given in [Reference 1]. Specific examples of the "Four Factors of Happiness" are given in [Reference 2]. The survey items correlated with happiness were those that showed a correlation with happiness in the results of the model-building survey.

[0013] [Reference 1] E. DIENER, et al., “The Satisfaction With Life Scale”, Journal of Personality Assessment, 1985,49,1, pp.71-75 [Reference 2] Takashi Maeno, "The Mechanism of Happiness: An Introduction to the Study of Happiness in Practice," Kodansha, December 2013

[0014] The questionnaire collection unit 120 collects responses to the questionnaire 111 from a large number of people.

[0015] The survey result extraction section 130 extracts, from the responses to the survey 111 collected by the survey collection section 120, the results of the survey items ascertaining the happiness level and the results of the survey items correlated with the happiness level.

[0016] The happiness model construction unit 140 constructs a happiness model 141 using a method such as covariance structure analysis, using the results extracted by the questionnaire result extraction unit 130, so as to separate the happiness into three factors, private, working, and community. Specifically, the happiness model construction unit 140 constructs the happiness model 141 based on questionnaire items for grasping the happiness extracted based on the result of carrying out the model construction questionnaire out of the questionnaire items in the model construction questionnaire, and questionnaire items correlated with the happiness extracted based on the result of carrying out the model construction questionnaire out of the questionnaire items in the model construction questionnaire.

[0017] The happiness model output unit 150 outputs the happiness model 141 constructed by the happiness model construction unit 140.

[0018] FIG. 2 shows a specific example of the happiness model 141. The happiness model 141 is a model that explains the happiness of each individual from three factors: "private", "working", and "community". "Working" is a factor that is directly related to the work of each individual. "Private" is a factor that corresponds to an event that can be changed by the effort or daily activities of an individual among factors that are not directly related to the work of each individual. "Community" is a factor that does not correspond to "private" among factors that are not directly related to the work of each individual. As a specific example, "Community" is a factor that corresponds to a government project, a factor that corresponds to a social evaluation, or a factor that corresponds to contents set by others. "Working" corresponds to a factor related to work. "Private" corresponds to the first private life factor. "Community" corresponds to the second private life factor. Also, the questionnaire items corresponding to the leftmost column in FIG. 2 correspond to questionnaire items that are correlated with happiness. Each of the three factors is given a contribution rate to the happiness level. The happiness level model 141 is generated by obtaining each contribution rate using covariance structure analysis or the like based on the results of a statistically significant number of model construction questionnaires. In the happiness level model 141, each of "private", "working", and "community" is further decomposed into multiple factors, and a contribution rate is set for the relationship between each factor before the decomposition and each factor after the decomposition. In the happiness level model 141, multiple items are hierarchized, and a contribution rate corresponding to each item of the multiple items is set. The number of hierarchies of the happiness level model 141 may be five or more. When the questionnaire results are input into the bottom layer of the happiness level model 141, the input results are tallied and the happiness level is finally calculated. In addition, the location of each factor may be changed as appropriate. As a specific example, "how to spend leisure time" may be considered to belong to private.

[0019] A specific example of the happiness calculation formula is shown in [Formula 1]. Here, H indicates the calculated happiness value, P indicates the survey result total value in private, W indicates the survey result total value in "working", C indicates the survey result total value in "community", α indicates the contribution rate of the "private" factor, β indicates the contribution rate of the "working" factor, γ indicates the contribution rate of the "community" factor, x indicates the survey result total value of each item in "private", y indicates the survey result total value of each item in "working", z indicates the survey result total value of each item in "community", a indicates the contribution rate of each item in "private", b indicates the contribution rate of each item in "working", c indicates the contribution rate of each item in "community", d, e, f indicate the survey contribution rate, and s, t, u indicate the survey results.

[0020] [Formula 1] H = αP + βW + γC Where: P=a1x1+a2x2+…, W=b1y1+b2y2+…, C=c1z1+c2z2+… It is. Also, x1=d1s1+d2s2+…, x2=d6s6+d7s7+…,… y1=e1t1+e2t2+…, y2=e6t6+e7t7+…,… z1=f1u1+f2u2+…, z2=f6u6+f7u7+…,… It is.

[0021] 3 shows an example of the configuration of the happiness degree calculation device 200. The happiness degree calculation device 200 includes a questionnaire collection unit 210, a happiness degree calculation unit 220, and a happiness degree display unit 230, as shown in FIG.

[0022] The questionnaire collection unit 210 collects questionnaires for investigating happiness levels that are answered by each individual. The questionnaires collected by the questionnaire collection unit 210 are also called happiness level survey questionnaires. The questionnaire collection unit 210 may collect the survey results for each individual, or may collect questionnaires answered by multiple people collectively. Note that the happiness level survey questionnaire is usually different from the questionnaire 111. The happiness level survey questionnaire may be composed of some of the questions in the questionnaire 111. As a specific example, each questionnaire item in the happiness level survey questionnaire is an item that is answered using a 5-point scale.

[0023] The happiness degree calculation unit 220 calculates the happiness degree using the questionnaire collected by the questionnaire collection unit 210 and the happiness degree model 141. That is, the happiness degree calculation unit 220 calculates the happiness degree of the subject using the happiness degree model 141 and the result of a happiness degree survey questionnaire administered to the subject. The happiness degree corresponds to a result of comprehensively judging the questionnaire results. The happiness degree is a value calculated using the method shown in [Reference 1] as a specific example.

[0024] The happiness level display unit 230 displays the happiness level calculated by the happiness level calculation unit 220.

[0025] 4 shows an example of a hardware configuration of the happiness model generation device 100 according to this embodiment. The happiness model generation device 100 is composed of a computer. The happiness model generation device 100 may be composed of multiple computers.

[0026] As shown in the figure, the happiness model generation device 100 is a computer equipped with hardware such as a processor 11, a memory 12, an auxiliary storage device 13, an input / output IF (Interface) 14, and a communication device 15. These pieces of hardware are appropriately connected via signal lines 19.

[0027] The processor 11 is an integrated circuit (IC) that performs arithmetic processing and controls the hardware of the computer. Specific examples of the processor 11 include a central processing unit (CPU), a digital signal processor (DSP), and a graphics processing unit (GPU). The happiness model generation device 100 may include a plurality of processors that replace the processor 11. The plurality of processors share the role of the processor 11.

[0028] The memory 12 is typically a volatile storage device, and a specific example is a RAM (Random Access Memory). The memory 12 is also called a primary storage device or a main memory. Data stored in the memory 12 is saved in the auxiliary storage device 13 as necessary.

[0029] The auxiliary storage device 13 is typically a non-volatile storage device, and specific examples thereof include a ROM (Read Only Memory), an HDD (Hard Disk Drive), or a flash memory. Data stored in the auxiliary storage device 13 is loaded into the memory 12 as necessary. The memory 12 and the auxiliary storage device 13 may be integrated into one unit.

[0030] The input / output IF 14 is a port to which an input device and an output device are connected. A specific example of the input / output IF 14 is a Universal Serial Bus (USB) terminal. Specific examples of the input device are a keyboard and a mouse. A specific example of the output device is a display.

[0031] The communication device 15 is a receiver and a transmitter, and is, for example, a communication chip or a network interface card (NIC).

[0032] Each part of the happiness model generating device 100 may use the input / output IF 14 and the communication device 15 as appropriate when communicating with other devices.

[0033] The auxiliary storage device 13 stores a happiness model generation program. The happiness model generation program is a program that causes a computer to realize the functions of each unit of the happiness model generation device 100. The happiness model generation program is loaded into the memory 12 and executed by the processor 11. The functions of each unit of the happiness model generation device 100 are realized by software.

[0034] Data used when executing the happiness model generation program and data obtained by executing the happiness model generation program are appropriately stored in a storage device. Each part of the happiness model generation device 100 appropriately uses a storage device. As a specific example, the storage device is composed of at least one of the memory 12, the auxiliary storage device 13, a register in the processor 11, and a cache memory in the processor 11. Note that the terms "data" and "information" may have the same meaning. The storage device may be independent of the computer. The functions of the memory 12 and the auxiliary storage device 13 may be realized by other storage devices.

[0035] Any of the programs described in this specification may be recorded in a computer-readable non-volatile recording medium. Specific examples of the non-volatile recording medium include an optical disk and a flash memory. Any of the programs described in this specification may be provided as a program product. The hardware configuration of the happiness degree calculation device 200 is similar to the hardware configuration of the happiness degree model generation device 100.

[0036] ***Explanation of Operation*** The operation procedure of the happiness model generating device 100 corresponds to a happiness model generating method. Also, the program that realizes the operation of the happiness model generating device 100 corresponds to a happiness model generating program. The operation procedure of the happiness degree calculation device 200 corresponds to a happiness degree calculation method. Also, the program that realizes the operation of the happiness degree calculation device 200 corresponds to a happiness degree calculation program.

[0037] 5 is a flowchart showing an example of the operation of the happiness model generating device 100. The operation of the happiness model generating device 100 will be described with reference to FIG.

[0038] (Step S111) The questionnaire collection unit 120 collects the questionnaires 111 .

[0039] (Step S112) The questionnaire result extraction unit 130 extracts the results of the questionnaire items for grasping the happiness level from the questionnaire 111 collected by the questionnaire collection unit 120.

[0040] (Step S113) The survey result extraction unit 130 extracts the results of survey items that are correlated with happiness levels from the surveys 111 collected by the survey collection unit 120.

[0041] (Step S114) The happiness model construction unit 140 uses the results extracted by the questionnaire result extraction unit 130 to perform calculations such as covariance structure analysis so that happiness is decomposed into three factors: private, working, and community, to construct a happiness model 141.

[0042] (Step S115) The happiness model output unit 150 outputs the happiness model 141 constructed by the happiness model construction unit 140.

[0043] 6 is a flowchart showing an example of the operation of the happiness degree calculation device 200. The operation of the happiness degree calculation device 200 will be described with reference to FIG.

[0044] (Step S211) The questionnaire collection unit 210 collects questionnaires for each individual.

[0045] (Step S212) The happiness degree calculation unit 220 calculates the happiness degree of the individuals who answered the questionnaire based on the contribution rate indicated by the happiness degree model 141 and using the results indicated by the questionnaire collected by the questionnaire collection unit 210.

[0046] (Step S213) The happiness level display unit 230 displays the happiness level of the individual calculated by the happiness level calculation unit 220.

[0047] ***Explanation of the Effects of the First Embodiment*** According to this embodiment, the happiness level is estimated using the happiness level model 141 that indicates the contribution rate of each factor. Therefore, according to this embodiment, the technology for estimating the happiness level can identify factors that affect the happiness level.

[0048] ***Other configurations*** <Variation 1> FIG. 7 shows an example of the hardware configuration of the happiness model generation device 100 according to this modification. The happiness model generating device 100 includes a processing circuit 18 in place of the processor 11 , the processor 11 and the memory 12 , the processor 11 and the auxiliary storage device 13 , or the processor 11 , the memory 12 and the auxiliary storage device 13 . The processing circuit 18 is hardware that realizes at least a part of each unit of the happiness model generation device 100. The processing circuitry 18 may be dedicated hardware, or may be a processor that executes programs stored in the memory 12 .

[0049] When processing circuitry 18 is dedicated hardware, processing circuitry 18 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. The happiness model generation device 100 may include a plurality of processing circuits that replace the processing circuit 18. The plurality of processing circuits share the role of the processing circuit 18.

[0050] In the happiness model generation device 100, some of the functions may be realized by dedicated hardware, and the remaining functions may be realized by software or firmware.

[0051] Processing circuitry 18 is illustratively implemented in hardware, software, firmware, or a combination thereof. The processor 11, the memory 12, the auxiliary storage device 13, and the processing circuit 18 are collectively referred to as the "processing circuitry." In other words, the functions of the functional components of the happiness model generation device 100 are realized by the processing circuitry. The configuration of the happiness calculation device 200 may be the same as that of this modified example. Each device according to other embodiments may also be the same as that of this modified example.

[0052] Embodiment 2 The following mainly describes the differences from the above-described embodiment with reference to the drawings.

[0053] ***Configuration Description*** 8 shows an example of the configuration of the happiness calculation device 200 according to this embodiment. The happiness calculation device 200 further includes a count value comparison unit 240 as shown in FIG.

[0054] The aggregated value comparison unit 240 compares the aggregated values ​​in the happiness model 141, and selects at least one of factors with relatively high scores and factors with relatively low scores by threshold processing or the like. As a specific example, the aggregated value comparison unit 240 extracts at least one of items indicated by the happiness model 141 whose contribution rate to the calculated happiness level is equal to or greater than a high contribution reference value and items indicated by the happiness model 141 whose contribution rate to the calculated happiness level is equal to or less than a low contribution reference value. The high contribution reference value and the low contribution reference value may each be determined in any manner.

[0055] The happiness level display unit 230 according to the present embodiment displays the items selected by the aggregate value comparison unit 240. In Fig. 8, "private" and "working" are displayed as items having a relatively high contribution rate to the happiness level, and "community" is displayed as an item having a relatively low contribution rate to the happiness level.

[0056] ***Explanation of Operation*** 9 is a flowchart showing an example of the operation of the happiness degree calculation device 200. The operation of the happiness degree calculation device 200 will be described with reference to FIG.

[0057] (Step S221) The tally comparison unit 240 compares the tally results and extracts items whose tally values ​​are equal to or greater than a threshold value.

[0058] (Step S222) The count comparison unit 240 compares the count results and extracts items whose count values ​​are equal to or less than a threshold value.

[0059] (Step S223) The happiness level display section 230 displays the items extracted by the aggregate value comparison section 240 that are equal to or greater than the threshold value and the items extracted by the aggregate value comparison section 240 that are equal to or less than the threshold value separately.

[0060] ***Explanation of the Effects of the Second Embodiment*** According to this embodiment, by utilizing the fact that happiness is comprehensively structured by happiness model 141, it is possible to compare the calculated values ​​and identify factors that contribute relatively high to happiness and factors that contribute relatively low to happiness.

[0061] Embodiment 3 The following mainly describes the differences from the above-described embodiment with reference to the drawings. In this embodiment, a happiness model 141 is created in advance for each of various personal attributes, and the most appropriate happiness model 141 is used based on the personal attributes. As a specific example, the personal attributes are determined by a combination of gender and age.

[0062] ***Configuration Description*** 10 shows an example of the configuration of the happiness model generation device 100 according to the present embodiment. As shown in FIG. 10, the happiness model generation device 100 does not include the questionnaire content construction unit 110 and the questionnaire result extraction unit 130, and further includes a questionnaire extraction unit 160.

[0063] The questionnaire extraction section 160 extracts, for each individual attribute, the results of questionnaire items ascertaining the happiness level and the results of questionnaire items correlated with the happiness level.

[0064] 11 shows a configuration example of the happiness calculation device 200 according to this embodiment. The happiness calculation device 200 further includes a personal attribute determination unit 250 and a happiness model selection unit 260, in comparison with the happiness calculation device 200 according to the first embodiment. In addition, a plurality of happiness models, each of which is a happiness model 141, are prepared, and each happiness model 141 of the plurality of happiness models is a model prepared according to a personal attribute.

[0065] The personal attribute determination section 250 reads out the personal attributes written in the questionnaires collected by the questionnaire collection section 210, and presents information indicating the read out personal attributes to the happiness model selection section 260.

[0066] The happiness model selection unit 260 selects the most appropriate happiness model 141 from among the plurality of happiness models based on the personal attribute information presented by the personal attribute determination unit 250, and notifies the happiness calculation unit 220 of the selected happiness model 141. That is, the happiness model selection unit 260 selects the happiness model 141 from among the plurality of happiness models according to the personal attributes of the subject person.

[0067] The happiness degree calculation unit 220 according to this embodiment calculates the happiness degree using the happiness degree model 141 notified by the happiness degree model selection unit 260. That is, the happiness degree calculation unit 220 calculates the happiness degree of the subject person using the happiness degree model 141 selected by the happiness degree model selection unit 260.

[0068] ***Explanation of Operation*** 12 is a flowchart showing an example of the operation of the happiness model generating device 100. The operation of the happiness model generating device 100 will be described with reference to FIG.

[0069] (Step S131) The questionnaire extraction unit 160 extracts the results of questionnaire items for grasping the happiness level for each attribute from the questionnaire 111 collected by the questionnaire collection unit 120.

[0070] (Step S132) The questionnaire extraction unit 160 extracts the results of questionnaire items that are correlated with the happiness level for each attribute from the questionnaires 111 collected by the questionnaire collection unit 120.

[0071] 13 is a flowchart showing an example of the operation of the happiness degree calculation device 200. The operation of the happiness degree calculation device 200 will be described with reference to FIG.

[0072] (Step S231) The personal attribute determining section 250 extracts personal attributes from the questionnaires collected by the questionnaire collecting section 210 .

[0073] (Step S232) The happiness model selection unit 260 selects the happiness model 141 according to the personal attributes extracted by the personal attribute determination unit 250 from among a plurality of happiness models.

[0074] ***Explanation of the Effects of the Third Embodiment*** According to this embodiment, since an appropriate happiness model 141 can be selected according to personal attributes, the happiness level can be estimated more accurately.

[0075] Embodiment 4 The following mainly describes the differences from the above-described embodiment with reference to the drawings. In this embodiment, environmental goals for the building are set so as to maximize happiness, and the facilities are controlled in accordance with the set goals.

[0076] ***Configuration Description*** 14 shows an example of the configuration of a happiness degree calculation system 90 according to this embodiment. The happiness degree calculation system 90 includes a happiness degree calculation device 200 and an equipment system 400. The happiness calculation device 200 further includes an environmental target value determination unit 270 and a facility parameter setting unit 280, as compared with the happiness calculation device 200 according to the first embodiment. The equipment system 400 is a system that manages equipment provided in a building or the like. Specific examples of the equipment include lighting devices, air conditioners, and a ventilation system. The equipment system 400 includes target equipment. The target equipment is equipment in the target building, and is controlled according to equipment parameters set by the equipment parameter setting unit 280. A specific example of the target building is an office building.

[0077] The environmental target value determination unit 270 determines an environmental target value for the target building based on the calculated happiness level. As a specific example, the environmental target value determination unit 270 checks the survey results related to the working environment from the happiness level model 141, extracts environmental problems from the checked survey results, and determines an environmental target value for improving the extracted problems. As a specific example, if the survey results regarding satisfaction with the thermal environment are not good, the environmental target value determination unit 270 determines a target temperature for the room to provide an appropriate thermal environment. When calculating an appropriate target temperature, the environmental target value determination unit 270 utilizes a thermal model such as PMV (Predicted Mean Vote) as a specific example.

[0078] The equipment parameter setting unit 280 sets parameters used in the equipment system 400 based on the environmental target values ​​determined by the environmental target value determination unit 270. In other words, the equipment parameter setting unit 280 sets equipment parameters that control the equipment of the target building.

[0079] ***Explanation of Operation*** 15 is a flow chart showing an example of the operation of the happiness degree calculation system 90. The operation of the happiness degree calculation system 90 will be described with reference to FIG.

[0080] (Step S241) The environmental target value determination unit 270 determines the environmental target value by referring to the calculation results of factors related to environmental control in the happiness model 141.

[0081] (Step S242) The equipment parameter setting unit 280 sets the equipment parameters so that the environmental target value is achieved when the calculation result in the happiness model 141 is lower than the environmental target value determined by the environmental target value determination unit 270. At this time, the equipment parameter setting unit 280 may adjust the equipment parameters in order starting from the equipment parameters having the highest contribution rate or correlation to the happiness level.

[0082] (Step S243) The equipment system 400 controls the equipment in accordance with the parameters set by the equipment parameter setting unit 280 .

[0083] ***Explanation of the effect of the fourth embodiment*** As described above, according to this embodiment, the facility can be controlled so that the happiness level is equal to or greater than a certain value. Therefore, according to this embodiment, the happiness level of each user who uses the facility can be sufficiently increased.

[0084] Embodiment 5. The following mainly describes the differences from the above-described embodiment with reference to the drawings. In this embodiment, by estimating some of the survey results from objective data, the happiness level is calculated while reducing the number of survey items.

[0085] ***Configuration Description*** 16 shows a configuration example of the happiness calculation device 200 according to this embodiment. As shown in FIG. 16, the happiness calculation device 200 further includes an objective data collection unit 290 and a questionnaire estimation unit 300, in comparison with the happiness calculation device 200 according to the first embodiment.

[0086] The objective data collection unit 290 collects objective data. The objective data is objective data, and specifically includes body information acquired by a wearable device and temperature information acquired by an environmental sensor.

[0087] The questionnaire estimation unit 300 estimates the answers of each individual to at least some of the questionnaire items of the happiness survey questionnaire based on the objective data collected by the objective data collection unit 290. As a specific example, the questionnaire estimation unit 300 estimates the health condition of each individual based on the objective data, and also estimates the environmental satisfaction level of each individual based on the objective data, and estimates the answers to at least some of the questionnaire items based on the estimated results. At this time, as a specific example, the questionnaire estimation unit 300 utilizes room temperature information and a method for estimating thermal sensation such as PMV. When conducting the happiness survey questionnaire, a questionnaire may be used in which the questionnaire items for which the questionnaire estimation unit 300 estimates answers are deleted from the happiness survey questionnaire.

[0088] ***Explanation of Operation*** 17 is a flowchart showing an example of the operation of the happiness degree calculation device 200. The operation of the happiness degree calculation device 200 will be described with reference to FIG.

[0089] (Step S251) The objective data collection section 290 collects objective data.

[0090] (Step S252) The questionnaire estimation section 300 estimates answers to at least some of the questionnaire items based on the objective data collected by the objective data collection section 290.

[0091] ***Explanation of the effect of the fifth embodiment*** According to this embodiment, the number of questionnaire items can be reduced because the questionnaire results are estimated based on objective data, and therefore, according to this embodiment, the burden on the user in answering the questionnaire can be reduced.

[0092] Embodiment 6 The following mainly describes the differences from the above-described embodiment with reference to the drawings.

[0093] ***Configuration Description*** Fig. 18 shows a configuration example of the happiness calculation device 200 according to this embodiment. As shown in Fig. 18, the happiness calculation device 200 further includes a happiness database 310 and a happiness change determination unit 320, compared to the happiness calculation device 200 according to the first embodiment. The happiness level database 310 is a database that stores time-series data consisting of data indicating the happiness level calculated by the happiness level calculation unit 220, and is a database that records the time-series happiness level data. The happiness level database 310 may store time-series data for each individual. The happiness level change determination unit 320 determines a change in the happiness level based on the time-series data stored in the happiness level database 310. The happiness level display section 230 according to this embodiment may display the change in happiness level determined by the happiness level change determination section 320.

[0094] ***Explanation of Operation*** 19 is a flowchart showing an example of the operation of the happiness degree calculation device 200. The operation of the happiness degree calculation device 200 will be described with reference to FIG.

[0095] (Step S261) The happiness degree calculation unit 220 stores all data indicating the calculated happiness degrees in the happiness degree database 310 as time-series data.

[0096] (Step S262) The happiness level change determination unit 320 determines the time series change in happiness level by referring to the data stored in the happiness level database 310, and determines at least one of a period during which the happiness level has deteriorated and a period during which the happiness level has improved.

[0097] ***Explanation of the effect of the sixth embodiment*** As described above, according to this embodiment, it is possible to check the time series change in happiness level.

[0098] ***Other embodiments*** The above-described embodiments may be freely combined, or any of the components in each embodiment may be modified, or any of the components in each embodiment may be omitted. Moreover, the embodiments are not limited to those shown in the first to sixth embodiments, and various modifications are possible as necessary. The procedures explained using the flowcharts and the like may be modified as appropriate. [Explanation of symbols]

[0099] 11 processor, 12 memory, 13 auxiliary storage device, 14 input / output IF, 15 communication device, 18 processing circuit, 19 signal line, 90 happiness calculation system, 100 happiness model generation device, 110 questionnaire content construction unit, 111 questionnaire, 120 questionnaire collection unit, 130 questionnaire result extraction unit, 140 happiness model construction unit, 141 happiness model, 150 happiness model output unit, 160 questionnaire extraction unit, 200 happiness calculation device, 210 questionnaire collection unit, 220 happiness calculation unit, 230 happiness display unit, 240 aggregate value comparison unit, 250 personal attribute judgment unit, 260 happiness model selection unit, 270 environmental target value determination unit, 280 equipment parameter setting unit, 290 objective data collection unit, 300 questionnaire estimation unit, 310 happiness database, 320 Happiness level change determination unit, 400 equipment system.

Claims

1. a questionnaire content construction unit that constructs a happiness model, which is a model that estimates the happiness of a subject based on the results of a happiness survey questionnaire administered to the subject, and explains the happiness of the subject from three factors: a factor related to the subject's work, a first private life factor that is a factor related to the subject's private life, and a second private life factor that is a factor related to the subject's private life that is not included in the first private life factor; and a happiness model construction unit that constructs the happiness model based on questionnaire items for grasping happiness levels extracted based on results of conducting the model construction questionnaire from among the questionnaire items of the model construction questionnaire, and questionnaire items correlated with happiness levels extracted based on results of conducting the model construction questionnaire from among the questionnaire items of the model construction questionnaire; Equipped with The happiness survey questionnaire is a questionnaire for obtaining information to be input into the happiness model.

2. The happiness model generating device of claim 1, wherein the wording of the questionnaire items in the model building questionnaire is such that a respondent to the model building questionnaire can answer by imagining a deviation from the best state for the respondent.

3. The happiness model generating device according to claim 1 or 2, wherein the happiness model constructing unit constructs the happiness model using covariance structure analysis.

4. A happiness degree calculation unit that calculates the happiness degree of a subject using a happiness degree model that is a model that estimates the happiness degree of the subject based on the result of a happiness degree survey questionnaire administered to the subject, and that explains the happiness degree from three factors, namely, a factor related to the subject's work, a first private life factor that is a factor related to the subject's private life, and a second private life factor that is a factor related to the subject's private life that is not included in the first private life factor, and the result of administering the happiness degree survey questionnaire to the subject. Equipped with The happiness survey questionnaire is a questionnaire for obtaining information to be input into the happiness model.

5. In the happiness model, a plurality of items are hierarchized, and a contribution rate corresponding to each of the plurality of items is set, The happiness calculation device further includes: A tabulation value comparison unit that extracts at least one of items whose contribution rate to the calculated happiness level is equal to or greater than a high contribution reference value among the items indicated by the happiness level model and items whose contribution rate to the calculated happiness level is equal to or less than a low contribution reference value among the items indicated by the happiness level model. The happiness calculation device according to claim 4, comprising:

6. When a plurality of happiness models, each of which is the happiness model, are prepared, and each happiness model of the plurality of happiness models is a model prepared according to personal attributes, The happiness calculation device further includes: a happiness model selection section for selecting a happiness model from among the plurality of happiness models according to personal attributes of the subject person; Equipped with The happiness degree calculation device according to claim 4 or 5, wherein the happiness degree calculation unit calculates the happiness degree of the subject person by using a selected happiness degree model.

7. The happiness calculation device further includes: a questionnaire estimation unit that estimates answers to at least some of the questionnaire items of the happiness survey based on objective data that is objective data; The happiness calculation device according to claim 4 or 5, comprising:

8. The happiness calculation device further includes: a happiness level database for storing time series data consisting of data indicating the calculated happiness level; a happiness degree change determination unit that determines a change in happiness degree based on time-series data stored in the happiness degree database; The happiness calculation device according to claim 4 or 5, comprising:

9. The happiness calculation device further includes: an environmental target value determination unit that determines an environmental target value for the target building based on the calculated happiness level; an equipment parameter setting unit that sets equipment parameters for controlling equipment of the target building based on the determined environmental target value; The happiness calculation device according to claim 4 or 5, comprising:

10. The happiness calculation device according to claim 9 , A target facility of the target building that is controlled according to set facility parameters; A happiness calculation system that includes the following:

11. A computer constructs a happiness model that estimates the happiness of a subject based on the results of a happiness survey questionnaire administered to the subject, the happiness model being a model that explains the happiness of the subject from three factors: a factor related to the subject's work, a first private life factor that is a factor related to the subject's private life, and a second private life factor that is a factor related to the subject's private life that is not included in the first private life factor; and A happiness model generation method in which the computer constructs the happiness model based on questionnaire items for grasping happiness levels extracted based on a result of conducting the model construction questionnaire from among the questionnaire items of the model construction questionnaire, and questionnaire items correlated with happiness levels extracted based on a result of conducting the model construction questionnaire from among the questionnaire items of the model construction questionnaire, A happiness model generating method, wherein the happiness survey questionnaire is a questionnaire for obtaining information to be input into the happiness model.

12. A happiness calculation method in which a computer calculates the happiness of a subject using a happiness model that estimates the happiness of the subject based on the results of a happiness survey questionnaire administered to the subject, the happiness model being a model that explains the happiness of the subject from three factors: a factor related to the subject's work, a first private life factor that is a factor related to the subject's private life, and a second private life factor that is a factor related to the subject's private life that is not included in the first private life factor; and the results of the happiness survey questionnaire administered to the subject, The happiness survey questionnaire is a questionnaire for obtaining information to be input into the happiness model.

13. a questionnaire content construction process for constructing a happiness model, which is a model that estimates the happiness of a subject based on the results of a happiness survey questionnaire administered to the subject, and explains the happiness of the subject from three factors: a factor related to the subject's work, a first private life factor that is a factor related to the subject's private life, and a second private life factor that is a factor related to the subject's private life that is not included in the first private life factor; and a happiness model construction process for constructing the happiness model based on questionnaire items for grasping happiness levels extracted based on the results of conducting the model construction questionnaire from among the questionnaire items of the model construction questionnaire, and questionnaire items correlated with happiness levels extracted based on the results of conducting the model construction questionnaire from among the questionnaire items of the model construction questionnaire; A happiness model generation program for causing a happiness model generation device, which is a computer, to execute the above. The happiness survey questionnaire is a questionnaire for obtaining information to be input into the happiness model.

14. A happiness degree calculation process that calculates the happiness degree of a subject using a happiness degree model that estimates the happiness degree of the subject based on the results of a happiness degree survey questionnaire administered to the subject, the happiness degree being a model that explains the happiness degree from three factors: a factor related to the subject's work, a first private life factor that is a factor related to the subject's private life, and a second private life factor that is a factor related to the subject's private life that is not included in the first private life factor, and the results of the happiness degree survey questionnaire administered to the subject. A happiness degree calculation program for causing a happiness degree calculation device, which is a computer, to execute the above. The happiness survey questionnaire is a questionnaire for obtaining information to be input into the happiness model.

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