Leukemia degree model generation device, Leukemia degree calculation device, Leukemia degree calculation system, Leukemia degree model generation method, Leukemia degree calculation method, Leukemia degree model generation program, and Leukemia degree calculation program
By constructing a happiness model and decomposing happiness into three factors: personal life, work, and social relationships, the problem of being unable to determine the factors affecting happiness in existing technologies is solved, and an accurate estimation of happiness is achieved.
Patent Information
- Application Number
- CN202380093154.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-02-13
- Publication Date
- 2025-09-12
AI Technical Summary
Existing technologies are unable to identify the key factors that influence happiness, resulting in inaccurate happiness estimates.
Construct a happiness model, collect data through questionnaires, use methods such as covariance structure analysis to decompose happiness into three factors: personal life, work, and social relationships, construct a happiness model, and output the final results through the happiness model output unit.
It can accurately estimate happiness, identify key factors affecting happiness, and improve the accuracy of happiness estimation.
Smart Images
Figure CN120641932A_ABST
Abstract
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 Art
[0002] The results of a study showed that visualizing people's happiness can help improve the performance of office workers.
[0003] Non-Patent Document 1 discloses a technique for analyzing the frequency distribution of duration of physical activity based on the amount of activity collected using a wearable device, and estimating the user's happiness based on the analyzed frequency distribution.
[0004] Prior art literature
[0005] Non-patent literature
[0006] Non-patent document 1: "Measurement of Happiness with the Artificial Technology - A Leap in the Productivity of Knowledge and Business" "るテクノロジーー", Hitachi Review, June / July 2015 consolidated issue pp.78-83, Hitachi Manufacturing Co., Ltd. Summary of the Invention
[0007] Problems to be solved by the invention
[0008] According to the technology disclosed in Non-Patent Document 1, happiness can be estimated from the distribution of activity levels. However, there is a problem that factors influencing happiness cannot be identified.
[0009] The present disclosure aims to identify factors that influence happiness in a technology for estimating happiness.
[0010] Means for solving problems
[0011] The happiness model generation device disclosed in the present invention has:
[0012] a questionnaire content construction unit that constructs a questionnaire for constructing a happiness model as a model construction questionnaire, wherein the happiness model is a model for estimating the happiness of a subject based on the results of a happiness questionnaire administered to the subject, and is a model for explaining the happiness based on 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
[0013] a happiness model construction unit that constructs the happiness model based on questionnaire items in the model construction questionnaire that grasp the happiness extracted based on the results obtained by implementing the model construction questionnaire, and questionnaire items in the model construction questionnaire that are related to the happiness extracted based on the results obtained by implementing the model construction questionnaire,
[0014] The happiness questionnaire is a questionnaire for obtaining information input to the happiness model.
[0015] Effects of the Invention
[0016] According to the present disclosure, the happiness model construction unit constructs a happiness model that describes happiness based on three factors. This constructed happiness model can then be used to estimate the happiness of a subject. Therefore, the present disclosure makes it possible to identify the factors that influence happiness in the happiness estimation technology. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 This is a diagram showing a configuration example of the happiness model generation device 100 according to the first embodiment.
[0018] Figure 2 This is a diagram illustrating the happiness model 141 .
[0019] Figure 3 This is a diagram showing a configuration example of the happiness calculation device 200 according to the first embodiment.
[0020] Figure 4 This is a diagram showing a hardware configuration example of the happiness model generation device 100 according to the first embodiment.
[0021] Figure 5 This is a flowchart showing the operation of the happiness model generation device 100 according to the first embodiment.
[0022] Figure 6 This is a flowchart showing the operation of the happiness calculation device 200 according to the first embodiment.
[0023] Figure 7 This is a diagram showing a hardware configuration example of the happiness model generation device 100 according to a modified example of the first embodiment.
[0024] Figure 8 This is a diagram showing a configuration example of a happiness calculation device 200 according to the second embodiment.
[0025] Figure 9 This is a flowchart showing the operation of the happiness calculation device 200 according to the second embodiment.
[0026] Figure 10This is a diagram showing a configuration example of the happiness model generation device 100 according to the third embodiment.
[0027] Figure 11 This is a diagram showing a configuration example of a happiness calculation device 200 according to a third embodiment.
[0028] Figure 12 This is a flowchart showing the operation of the happiness model generation device 100 according to the third embodiment.
[0029] Figure 13 This is a flowchart showing the operation of the happiness calculation device 200 according to the third embodiment.
[0030] Figure 14 This is a diagram showing a configuration example of a happiness calculation system 90 according to a fourth embodiment.
[0031] Figure 15 This is a flowchart showing the operation of the happiness calculation system 90 according to the fourth embodiment.
[0032] Figure 16 This is a diagram showing a configuration example of a happiness calculation device 200 according to the fifth embodiment.
[0033] Figure 17 This is a flowchart showing the operation of the happiness calculation device 200 according to the fifth embodiment.
[0034] Figure 18 This is a diagram showing a configuration example of a happiness calculation device 200 according to a sixth embodiment.
[0035] Figure 19 This is a flowchart showing the operation of the happiness calculation device 200 according to the sixth embodiment. DETAILED DESCRIPTION
[0036] In the description of the embodiments and the accompanying drawings, identical or corresponding elements are denoted by the same reference numerals. The description of elements denoted by the same reference numerals will be omitted or simplified as appropriate. The arrows in the figures primarily illustrate the flow of data or processing. Furthermore, the word "unit" may be replaced with "circuit," "process," "procedure," "processing," or "circuit," as appropriate.
[0037] Implementation method 1.
[0038] Hereinafter, this embodiment will be described in detail with reference to the drawings.
[0039] ***Description of the structure***
[0040] Figure 1 FIG. 1 shows an example of the structure of the happiness model generation device 100 according to this embodiment. Figure 1As shown, 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 .
[0041] The questionnaire content construction unit 110 constructs a questionnaire 111 .
[0042] The questionnaire content construction unit 110 can also construct the questionnaire 111 using a questionnaire template. Specifically, when using a template, the questionnaire content construction unit 110 selects question content from the template and converts the question form represented by the template. While questions about the number of friends or annual income can be answered quantitatively, individual differences exist in how happiness is evaluated based on the number of friends or annual income. Therefore, by changing the question to a more expressive question such as "Is xx ideal?", the respondent is encouraged to imagine a deviation from their ideal state and answer the question. The ideal state can be either an unrealistic ideal or a realistic ideal. Furthermore, questions such as "Are you satisfied with xx?" sometimes encourage the respondent to imagine a deviation from their ideal state, making it difficult to express individual differences in happiness and therefore not recommended. Specifically, the wording of the questionnaire items in the model-building questionnaire is designed to encourage the respondent to imagine a deviation from their ideal state and answer the question.
[0043] Questionnaire 111 is a questionnaire used to construct happiness model 141, also known as a model-building questionnaire. At this point, questionnaire content construction unit 110 selects question content and generates interrogative sentences corresponding to the selected question content. Typically, questionnaire 111 consists of multiple items. Happiness model 141 is a model that estimates a subject's happiness based on the results of a happiness questionnaire administered to the subject. It describes happiness based on three factors: a factor related to the subject's work, a first private life factor, and a second private life factor. 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 questionnaire is a questionnaire used to obtain information for input into happiness model 141 and consists of questionnaire items that capture happiness and questionnaire items related to happiness.
[0044] The questionnaire 111 includes questionnaire items for grasping happiness and questionnaire items related to happiness.
[0045] The happiness-gauging questionnaire items are administered to confirm the confidence level of the happiness calculated using happiness model 141. Specifically, the happiness-gauging questionnaire items include at least one of items related to the "Life Satisfaction Scale" and items related to the "Four Factors of Happiness." A specific example of the "Life Satisfaction Scale" is described in [Reference 1]. A specific example of the "Four Factors of Happiness" is described in [Reference 2].
[0046] The questionnaire items related to happiness are items for which correlation with happiness was found among the results obtained by administering the questionnaire for model construction.
[0047] [Reference 1]
[0048] E.DIENER, et al., "The Satisfaction With Life Scale", Journal of Personality Assessment, 1985, 49, 1, pp.71-75
[0049] [Reference 2]
[0050] Takashi Maeno, "The Practice of Happiness Mechanisms: An Introduction to Happiness Studies," Kodansha, December 2013
[0051] The questionnaire collection unit 120 collects responses to the questionnaire 111 from multiple people.
[0052] The questionnaire result extraction unit 130 extracts the results of the questionnaire items for understanding the happiness level and the results of the questionnaire items related to the happiness level from the answers to the questionnaire 111 collected by the questionnaire collection unit 120 .
[0053] Happiness model construction unit 140 uses the results extracted by questionnaire result extraction unit 130 to decompose the results into three factors: personal life, work, and social relationships, using methods such as covariance structure analysis to construct happiness model 141. Specifically, happiness model construction unit 140 constructs happiness model 141 based on questionnaire items in the model construction questionnaire that capture happiness extracted based on the results of administering the model construction questionnaire, and questionnaire items in the model construction questionnaire that relate to happiness extracted based on the results of administering the model construction questionnaire.
[0054] The happiness model output unit 150 outputs the happiness model 141 constructed by the happiness model construction unit 140 .
[0055] Figure 2A specific example of the happiness model 141 is shown. The happiness model 141 is a model that describes the happiness of each person based on three factors: "personal life", "work", and "social relations". "Work" is a factor directly related to each person's work. "Personal life" is a factor that is not directly related to each person's work and corresponds to phenomena that can be changed by personal efforts or personal daily activities. "Social relations" is a factor that is not directly related to each person's work and does not belong to "personal life". As a specific example, "social relations" is a factor corresponding to administrative affairs, a factor corresponding to social evaluation, or a factor corresponding to content set by others. In addition, "work" is equivalent to a factor related to work. "Personal life" is equivalent to the first private life factor. "Social relations" is equivalent to the second private life factor. In addition, Figure 2 The questionnaire items corresponding to the leftmost column are equivalent to the questionnaire items related to happiness.
[0056] Each of the three factors is assigned a contribution rate to happiness. Happiness model 141 is generated by calculating each contribution rate using covariance structure analysis or other methods based on the results of a statistically significant number of model-building questionnaires. Furthermore, in happiness model 141, "personal life," "work," and "social relationships" are each further decomposed into multiple factors, and contribution rates are set for the relationship between each factor before decomposition and each factor after decomposition. Furthermore, in happiness model 141, multiple items are hierarchical, and contribution rates corresponding to each of the multiple items are set. The number of hierarchies in happiness model 141 can also be five or more. When questionnaire results are input to the final layer of happiness model 141, the input results are summed up to ultimately calculate happiness. Furthermore, the location of each factor can be changed as appropriate. As a specific example, "how you spend your free time" can also be set as belonging to personal life.
[0057] A specific example of the happiness calculation formula is shown in [Formula 1]. Here, H represents the calculated happiness value, P represents the total questionnaire results for personal life, W represents the total questionnaire results for "work," and C represents the total questionnaire results for "social relationships." α represents the contribution rate of the "personal life" factor, β represents the contribution rate of the "work" factor, and γ represents the contribution rate of the "social relationships" factor. x represents the total questionnaire results for each item in "personal life," y represents the total questionnaire results for each item in "work," and z represents the total questionnaire results for each item in "social relationships." a represents the contribution rate for each item in "personal life," b represents the contribution rate for each item in "work," and c represents the contribution rate for each item in "social relationships." d, e, and f represent the questionnaire contribution rates, and s, t, and u represent the questionnaire results.
[0058] [Mathematical formula 1]
[0059] H=αP+βW+γC
[0060] in,
[0061] P=a1x1+a2x2+…, W=b1y1+b2y2+…, C=c1z1+c2z2+….
[0062] also,
[0063] x1=d1s1+d2s2+…, x2=d6s6+d7s7+…,…
[0064] y1=e1t1+e2t2+…, y2=e6t6+e7t7+…,…
[0065] z1=f1u1+f2u2+…, z2=f6u6+f7u7+…,….
[0066] Figure 3 FIG. 2 shows an example of the structure of the happiness calculation device 200. Figure 3 As shown, the happiness calculation device 200 includes a questionnaire collection unit 210 , a happiness calculation unit 220 , and a happiness display unit 230 .
[0067] The questionnaire collection unit 210 collects questionnaires for individual happiness surveys. The questionnaires collected by the questionnaire collection unit 210 are also referred to as happiness questionnaires. The questionnaire collection unit 210 can collect questionnaire results for each individual or collect questionnaires for multiple people to complete. Furthermore, the happiness questionnaire is typically distinct from questionnaire 111. The happiness questionnaire can also consist of a subset of questions from questionnaire 111. Specifically, each item on the happiness questionnaire is evaluated on a five-point scale.
[0068] Happiness calculation unit 220 calculates happiness using the questionnaires collected by questionnaire collection unit 210 and happiness model 141. Specifically, happiness calculation unit 220 calculates the subject's happiness using happiness model 141 and the results of a happiness questionnaire administered to the subject. Happiness is the result of a comprehensive assessment of the questionnaire results. Specifically, happiness is calculated using the method described in [Reference 1].
[0069] The happiness level display unit 230 displays the happiness level calculated by the happiness level calculation unit 220 .
[0070] Figure 4 The following describes an example of the hardware configuration of the happiness model generation device 100 according to this embodiment. The happiness model generation device 100 is configured by a computer. The happiness model generation device 100 may also be configured by a plurality of computers.
[0071] As shown in the figure, the happiness model generation device 100 is a computer having 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 hardware are connected via a signal line 19 as appropriate.
[0072] The processor 11 is an IC (Integrated Circuit) that performs calculations and controls the hardware included in the computer. Specific examples of the processor 11 include a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or a GPU (Graphics Processing Unit).
[0073] The happiness model generation device 100 may include a plurality of processors instead of the processor 11. The plurality of processors may share the role of the processor 11.
[0074] The memory 12 is typically a volatile memory device, and a specific example is a RAM (Random Access Memory). The memory 12 is also called a main storage device or a main memory. The data stored in the memory 12 is stored in the auxiliary storage device 13 as needed.
[0075] The auxiliary storage device 13 is typically a nonvolatile storage device, and specific examples thereof include ROM (Read Only Memory), HDD (Hard Disk Drive), or flash memory. Data stored in the auxiliary storage device 13 is loaded into the memory 12 as needed.
[0076] The memory 12 and the auxiliary storage device 13 may be integrally configured.
[0077] The input / output IF 14 is a port to which input and output devices are connected. Specifically, the input / output IF 14 is a USB (Universal Serial Bus) terminal. Specifically, the input device is a keyboard and a mouse. Specifically, the output device is a display.
[0078] The communication device 15 is a receiver and a transmitter. As a specific example, the communication device 15 is a communication chip or a NIC (Network Interface Card).
[0079] Each component of the happiness model generation device 100 may appropriately use the input / output IF 14 and the communication device 15 when communicating with other devices or the like.
[0080] The auxiliary storage device 13 stores a happiness model generation program. This program causes a computer to implement the functions of the various components 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 the various components of the happiness model generation device 100 are implemented using software.
[0081] 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 component of the happiness model generation device 100 utilizes a storage device as appropriate. Specifically, the storage device comprises at least one of the memory 12, the auxiliary storage device 13, registers in the processor 11, and flash memory in the processor 11. The terms "data" and "information" may have equivalent meanings. The storage device may also be independent of the computer.
[0082] The functions of the memory 12 and the auxiliary storage device 13 may also be implemented by other storage devices.
[0083] Any program described in this manual can be recorded on a non-volatile recording medium that can be read by a computer. As a specific example, the non-volatile recording medium is an optical disc or a flash memory. Any program described in this manual can be provided as a program product.
[0084] The hardware structure of the happiness calculation device 200 is the same as that of the happiness model generation device 100 .
[0085] ***Description of the action***
[0086] The operation process of the happiness model generation device 100 corresponds to the happiness model generation method. In addition, the program that realizes the operation of the happiness model generation device 100 corresponds to the happiness model generation program.
[0087] The operation process of the happiness calculation device 200 corresponds to the happiness calculation method. In addition, the program that realizes the operation of the happiness calculation device 200 corresponds to the happiness calculation program.
[0088] Figure 5 This is a flowchart showing an example of the operation of the happiness model generation device 100. Figure 5 , explaining the operation of the happiness model generation device 100.
[0089] (Step S111)
[0090] The questionnaire collection unit 120 collects the questionnaires 111 .
[0091] (Step S112)
[0092] The questionnaire result extraction unit 130 extracts the results of the questionnaire items for understanding the happiness level from the questionnaire 111 collected by the questionnaire collection unit 120 .
[0093] (Step S113)
[0094] The questionnaire result extraction unit 130 extracts the results of questionnaire items related to happiness from the questionnaire 111 collected by the questionnaire collection unit 120 .
[0095] (Step S114)
[0096] The happiness model construction unit 140 uses the results extracted by the questionnaire result extraction unit 130 to construct a happiness model 141 by performing calculations such as covariance structure analysis in order to decompose happiness into three factors: personal life, work, and social relationships.
[0097] (Step S115)
[0098] The happiness model output unit 150 outputs the happiness model 141 constructed by the happiness model construction unit 140 .
[0099] Figure 6 This is a flowchart showing an example of the operation of the happiness calculation device 200. Figure 6 , explaining the operation of the happiness calculation device 200.
[0100] (Step S211)
[0101] The questionnaire collection unit 210 collects questionnaires for each person.
[0102] (Step S212)
[0103] The happiness calculation unit 220 calculates the happiness of the individual who answered the questionnaire based on the contribution rate indicated by the happiness model 141 using the results indicated by the questionnaire collected by the questionnaire collection unit 210 .
[0104] (Step S213)
[0105] The happiness level display unit 230 displays the personal happiness level calculated by the happiness level calculation unit 220 .
[0106] ***Description of the Effects of Embodiment 1***
[0107] According to this embodiment, happiness is estimated using the happiness model 141 that represents the contribution rate of each factor. Therefore, according to this embodiment, in the technology for estimating happiness, it is possible to identify the factors that affect happiness.
[0108] ***Other structures***
[0109] <Variation 1>
[0110] Figure 7 A hardware configuration example of the happiness model generation device 100 according to this modification is shown.
[0111] The happiness model generation device 100 includes a processing circuit 18 instead 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 .
[0112] The processing circuit 18 is hardware that realizes at least a part of each unit included in the happiness model generation device 100 .
[0113] The processing circuit 18 may be dedicated hardware, or may be a processor that executes a program stored in the memory 12 .
[0114] When the processing circuit 18 is dedicated hardware, as a specific example, the processing circuit 18 is a single circuit, a complex circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof.
[0115] The happiness model generation device 100 may include a plurality of processing circuits instead of the processing circuit 18. The plurality of processing circuits may share the role of the processing circuit 18.
[0116] In the happiness model generation device 100 , part of the functions may be implemented by dedicated hardware, and the remaining functions may be implemented by software or firmware.
[0117] As a specific example, the processing circuit 18 is implemented by hardware, software, firmware, or a combination thereof.
[0118] The processor 11 , the memory 12 , the auxiliary storage device 13 , and the processing circuit 18 are collectively referred to as a “processing circuit.” That is, the functions of the various functional components of the happiness model generation device 100 are implemented by the processing circuit.
[0119] The structure of the happiness calculation device 200 may be the same as that of this modification. The devices of other embodiments may also be the same as that of this modification.
[0120] Implementation method 2.
[0121] Hereinafter, with reference to the drawings, the following mainly describes points different from the above-described embodiment.
[0122] ***Description of the structure***
[0123] Figure 8 FIG. 2 shows an example of the structure of the happiness calculation device 200 according to this embodiment. Figure 8 As shown, the happiness calculation device 200 further includes a total value comparison unit 240 .
[0124] The total value comparison unit 240 compares the total values in the happiness model 141 and selects at least one of a factor with a relatively high score and a factor with a relatively low score by using threshold processing or the like. Specifically, the total value comparison unit 240 selects at least one of the following: items represented by the happiness model 141 whose contribution rate to the calculated happiness is greater than a high contribution threshold value, and items represented by the happiness model 141 whose contribution rate to the calculated happiness is less than a low contribution threshold value. The high contribution threshold value and the low contribution threshold value can be arbitrarily determined.
[0125] The happiness display unit 230 of this embodiment displays the items selected by the total value comparison unit 240. Figure 8 , "personal life" and "work" are shown as items with relatively high contribution rates to happiness, and "social relationships" is shown as an item with relatively low contribution rate to happiness.
[0126] ***Description of the action***
[0127] Figure 9 This is a flowchart showing an example of the operation of the happiness calculation device 200. Figure 9 , explaining the operation of the happiness calculation device 200.
[0128] (Step S221)
[0129] The total value comparison unit 240 compares the total value results and extracts items whose total values are equal to or greater than a threshold value.
[0130] (Step S222)
[0131] The total value comparison unit 240 compares the total value results and extracts items whose total values are equal to or less than a threshold value.
[0132] (Step S223)
[0133] The happiness display unit 230 displays the items that are equal to or greater than the threshold value extracted by the total value comparison unit 240 and the items that are equal to or less than the threshold value extracted by the total value comparison unit 240 .
[0134] ***Description of the Effects of Implementation Method 2***
[0135] According to the present embodiment, by comparing the values calculated by comprehensively structuring the happiness level using the happiness level model 141 , it is possible to identify factors that contribute relatively more to the happiness level and factors that contribute relatively less to the happiness level.
[0136] Implementation method 3.
[0137] Hereinafter, with reference to the drawings, the following mainly describes points different from the above-described embodiment.
[0138] In this embodiment, the happiness model 141 is generated in advance according to various personal attributes, and the most appropriate happiness model 141 is used according to the personal attributes. As a specific example, the personal attributes are determined by a combination of gender and age.
[0139] ***Description of the structure***
[0140] Figure 10 FIG. 1 shows an example of the structure of the happiness model generation device 100 according to this embodiment. Figure 10 As shown, the happiness model generation device 100 does not include the questionnaire content construction unit 110 and the questionnaire result extraction unit 130 , but also includes a questionnaire extraction unit 160 .
[0141] The questionnaire extraction unit 160 extracts the results of the questionnaire items for understanding the happiness level and the results of the questionnaire items related to the happiness level, according to each individual attribute.
[0142] Figure 11 The following shows an example configuration of a happiness calculation device 200 according to this embodiment. Compared to the happiness calculation device 200 according to Embodiment 1, happiness calculation device 200 further includes a personal attribute determination unit 250 and a happiness model selection unit 260. Furthermore, multiple happiness models are prepared, each serving as a happiness model 141. Each happiness model 141 is prepared based on a personal attribute.
[0143] The personal attribute determination unit 250 reads the personal attributes recorded in the questionnaire collected by the questionnaire collection unit 210 , and presents information indicating the read personal attributes to the happiness model selection unit 260 .
[0144] 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 provided by personal attribute determination unit 250, and notifies happiness calculation unit 220 of the selected happiness model 141. Specifically, happiness model selection unit 260 selects happiness model 141 from among the plurality of happiness models based on the personal attributes of the subject.
[0145] The happiness calculation unit 220 of this embodiment calculates the happiness using the happiness model 141 notified from the happiness model selection unit 260. That is, the happiness calculation unit 220 calculates the happiness of the subject using the happiness model 141 selected by the happiness model selection unit 260.
[0146] ***Description of the action***
[0147] Figure 12 This is a flowchart showing an example of the operation of the happiness model generation device 100. Figure 12 , explaining the operation of the happiness model generation device 100.
[0148] (Step S131)
[0149] The questionnaire extraction unit 160 extracts the results of questionnaire items for understanding the happiness level from the questionnaire 111 collected by the questionnaire collection unit 120 for each attribute.
[0150] (Step S132)
[0151] The questionnaire extraction unit 160 extracts the results of questionnaire items related to happiness from the questionnaire 111 collected by the questionnaire collection unit 120 for each attribute.
[0152] Figure 13 This is a flowchart showing an example of the operation of the happiness calculation device 200. Figure 13 , explaining the operation of the happiness calculation device 200.
[0153] (Step S231)
[0154] The personal attribute determination unit 250 extracts personal attributes from the questionnaire collected by the questionnaire collection unit 210 .
[0155] (Step S232)
[0156] The happiness model selection unit 260 selects the happiness model 141 corresponding to the personal attribute extracted by the personal attribute determination unit 250 from among the plurality of happiness models.
[0157] ***Description of the Effects of Implementation Method 3***
[0158] According to this embodiment, since an appropriate happiness model 141 can be selected according to personal attributes, happiness can be estimated more accurately.
[0159] Implementation method 4.
[0160] Hereinafter, with reference to the drawings, the following mainly describes points different from the above-described embodiment.
[0161] In this embodiment, a goal for the environment in the building is set in such a way as to maximize happiness, and the equipment is controlled according to the set goal.
[0162] ***Description of the structure***
[0163] Figure 14 The following describes a configuration example of a happiness calculation system 90 according to this embodiment. The happiness calculation system 90 includes a happiness calculation device 200 and a device system 400 .
[0164] Compared to the happiness-level calculation device 200 of the first embodiment, the happiness-level calculation device 200 further includes an environmental target value determination unit 270 and an equipment parameter setting unit 280 .
[0165] Equipment system 400 manages equipment in buildings and the like. Specifically, the equipment includes lighting, air conditioning, and ventilation systems. Equipment system 400 includes target equipment. These target equipment are devices in the target building and are controlled according to the equipment parameters set by equipment parameter setting unit 280. Specifically, the target building is an office building.
[0166] The environmental target value determination unit 270 determines the environmental target value for the target building based on the calculated happiness level. Specifically, the unit 270 verifies the results of a questionnaire regarding the work environment using the happiness model 141, extracts environmental issues from the verified questionnaire results, and determines an environmental target value to improve the extracted issues. Specifically, if the results of a questionnaire regarding satisfaction with the thermal environment are unfavorable, the unit 270 determines the target temperature for the room to achieve an appropriate thermal environment. Specifically, the unit 270 utilizes a thermal model such as PMV (Predicted Mean Vote) to calculate the appropriate target temperature.
[0167] The device parameter setting unit 280 sets parameters used in the device system 400 based on the environmental target value determined by the environmental target value determination unit 270. That is, the device parameter setting unit 280 sets device parameters of the devices of the control target building.
[0168] ***Description of the action***
[0169] Figure 15 This is a flowchart showing an example of the operation of the happiness calculation system 90. Figure 15 , explaining the operation of the happiness calculation system 90.
[0170] (Step S241)
[0171] The environmental target value determination unit 270 determines the environmental target value by referring to the calculation results of the factors related to environmental control in the happiness model 141 .
[0172] (Step S242)
[0173] If the calculation result of happiness model 141 is lower than the environmental target value determined by environmental target value determination unit 270, device parameter setting unit 280 sets the device parameters to achieve the environmental target value. In this case, device parameter setting unit 280 may adjust the device parameters in order, starting with those with the highest contribution or correlation to happiness.
[0174] (Step S243)
[0175] The device system 400 controls the devices based on the parameters set by the device parameter setting unit 280 .
[0176] ***Description of the Effects of Implementation Method 4***
[0177] As described above, according to this embodiment, the device can be controlled so that the happiness level is equal to or greater than a fixed value. Therefore, according to this embodiment, the happiness level of each user who uses the device can be sufficiently improved.
[0178] Implementation method 5.
[0179] Hereinafter, with reference to the drawings, the following mainly describes points different from the above-described embodiment.
[0180] In this embodiment, by estimating a portion of the questionnaire results based on objective data, the happiness level is calculated while reducing the questionnaire items.
[0181] ***Description of the structure***
[0182] Figure 16 FIG. 2 shows an example of the structure of the happiness calculation device 200 according to this embodiment. Figure 16 As shown, the happiness calculation device 200 further includes an objective data collection unit 290 and a questionnaire estimation unit 300 , compared to the happiness calculation device 200 of the first embodiment.
[0183] The objective data collection unit 290 collects objective data. Objective data is objective data, and as a specific example, is composed of body information acquired by a wearable device and temperature information acquired by an environmental sensor.
[0184] The questionnaire estimation unit 300 estimates each individual's responses to at least some of the items in the happiness questionnaire based on the objective data collected by the objective data collection unit 290. Specifically, the questionnaire estimation unit 300 estimates each individual's health status and environmental satisfaction based on the objective data, and estimates the responses to at least some of the items based on the estimated results. Specifically, the questionnaire estimation unit 300 utilizes room temperature information and PMV, a method for estimating temperature and coldness.
[0185] Furthermore, when administering the happiness questionnaire, a questionnaire obtained by deleting the questionnaire items whose answers are estimated by the questionnaire estimation unit 300 from the happiness questionnaire may be used.
[0186] ***Description of the action***
[0187] Figure 17 This is a flowchart showing an example of the operation of the happiness calculation device 200. Figure 17 , explaining the operation of the happiness calculation device 200.
[0188] (Step S251)
[0189] The objective data collection unit 290 collects objective data.
[0190] (Step S252)
[0191] The questionnaire estimation unit 300 estimates answers to at least some of the questionnaire items based on the objective data collected by the objective data collection unit 290 .
[0192] ***Description of the Effects of Implementation 5***
[0193] According to this embodiment, the questionnaire items can be reduced so that the questionnaire results can be estimated based on objective data. Therefore, according to this embodiment, the burden on the user to answer the questionnaire can be reduced.
[0194] Implementation method 6.
[0195] Hereinafter, with reference to the drawings, the following mainly describes points different from the above-described embodiment.
[0196] ***Description of the structure***
[0197] Figure 18 FIG. 2 shows an example of the structure of the happiness calculation device 200 according to this embodiment. Figure 18 As shown, 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 of the first embodiment.
[0198] The happiness database 310 is a database that stores time-series data consisting of data indicating the happiness calculated by the happiness calculation unit 220 and records the time-series happiness data. The happiness database 310 may also store time-series data about each person.
[0199] The happiness level change determination unit 320 determines changes in happiness level based on the time series data stored in the happiness level database 310 .
[0200] The happiness level display unit 230 of this embodiment may also display the change in happiness level determined by the happiness level change determination unit 320 .
[0201] ***Description of the action***
[0202] Figure 19 This is a flowchart showing an example of the operation of the happiness calculation device 200. Figure 19 , explaining the operation of the happiness calculation device 200.
[0203] (Step S261)
[0204] The happiness calculation unit 220 stores all data indicating the calculated happiness in the happiness database 310 as time-series data.
[0205] (Step S262)
[0206] The happiness change determination unit 320 refers to the data stored in the happiness database 310 to determine the time series change of happiness, and determines at least one of a period in which happiness deteriorates and a period in which happiness improves.
[0207] ***Description of the Effects of Implementation Method 6***
[0208] As described above, according to this embodiment, it is possible to confirm the time-series change of the happiness level.
[0209] ***Other Implementations***
[0210] The above-described embodiments can be freely combined, arbitrary components of the embodiments can be modified, or arbitrary components of the embodiments can be omitted.
[0211] The embodiments are not limited to those described in Embodiments 1 to 6, and various modifications can be made as needed. The procedures described using flowcharts and the like can also be modified as appropriate.
[0212] Label Description
[0213] 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 Volume extraction unit; 200: Happiness calculation device; 210: Questionnaire collection unit; 220: Happiness calculation unit; 230: Happiness display unit; 240: Total value comparison unit; 250: Personal attribute determination 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 change determination unit; 400: Equipment system.
Claims
1. A happiness model generation device, wherein: The happiness model generating device has: a questionnaire content construction unit that constructs a questionnaire for constructing a happiness model as a model construction questionnaire, wherein the happiness model is a model for estimating the happiness of a subject based on the results of a happiness questionnaire administered to the subject, and is a model for explaining the happiness based on 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; as well as a happiness model construction unit that constructs the happiness model based on questionnaire items in the model construction questionnaire that grasp the happiness extracted based on the results obtained by implementing the model construction questionnaire, and questionnaire items in the model construction questionnaire that are related to the happiness extracted based on the results obtained by implementing the model construction questionnaire, The happiness questionnaire is a questionnaire for obtaining information input to the happiness model.
2. The happiness model generation device according to claim 1, wherein: The wording of the questionnaire items of the questionnaire for model construction is a wording that enables the respondent of the questionnaire for model construction to imagine a deviation from the highest state for the respondent and to answer.
3. The happiness model generation device according to claim 1 or 2, wherein: The happiness model construction unit constructs the happiness model using covariance structure analysis.
4. A happiness calculation device, wherein: The happiness calculation device includes a happiness calculation unit that calculates the subject's happiness using a happiness model and a result of administering a happiness questionnaire to the subject. The happiness model is a model that estimates the subject's happiness based on the result of administering the happiness questionnaire to the subject, and is a model that describes happiness based on 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 and is not included in the first private life factor. The happiness questionnaire is a questionnaire for obtaining information input to the happiness model.
5. The happiness calculation device according to claim 4, wherein: In the happiness model, a plurality of items are hierarchical, and a contribution rate corresponding to each of the plurality of items is set. The happiness calculation device also has a total value comparison unit, which extracts at least one of the items represented by the happiness model whose contribution rate to the calculated happiness is above a high contribution baseline value, and the items represented by the happiness model whose contribution rate to the calculated happiness is below a low contribution baseline value.
6. The happiness calculation device according to claim 4 or 5, wherein: When a plurality of happiness models are prepared as the happiness models, and each of the plurality of happiness models is prepared based on personal attributes, The happiness calculation device further includes a happiness model selection unit that selects a happiness model from the plurality of happiness models based on the personal attributes of the subject. The happiness calculation unit calculates the happiness of the subject using the selected happiness model.
7. The happiness calculation device according to any one of claims 4 to 6, wherein: The happiness calculation device further includes a questionnaire estimation unit that estimates answers to at least some of the questionnaire items in the happiness questionnaire based on objective data, which is objective data.
8. The happiness calculation device according to any one of claims 4 to 7, wherein: The happiness calculation device further comprises: a happiness database storing time series data consisting of data representing calculated happiness; as well as The happiness level change determination unit determines a change in happiness level based on the time series data stored in the happiness level database.
9. The happiness calculation device according to any one of claims 4 to 8, wherein: The happiness calculation device further comprises: an environmental target value determination unit that determines an environmental target value in the target building based on the calculated happiness level; and The device parameter setting unit sets device parameters for controlling devices of the target building based on the determined environmental target value.
10. A happiness calculation system, wherein: The happiness calculation system has: The happiness calculation device according to claim 9; as well as The target device is a device of the target building and is a device controlled according to the set device parameters.
11. A method for generating a happiness model, wherein: The computer constructs a questionnaire for constructing a happiness model as a model-building questionnaire. The happiness model is a model for estimating the happiness of a subject based on the results of a happiness questionnaire administered to the subject, and is a model for explaining happiness based on 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. The computer constructs the happiness model based on questionnaire items in the model construction questionnaire that grasp the happiness extracted based on the results obtained by implementing the model construction questionnaire, and questionnaire items in the model construction questionnaire that are related to the happiness extracted based on the results obtained by implementing the model construction questionnaire. The happiness questionnaire is a questionnaire used to obtain information input into the happiness model.
12. A method for calculating happiness, wherein: The computer calculates the subject's happiness using a happiness model and results of a happiness questionnaire administered to the subject. The happiness model is a model for estimating the subject's happiness based on the results of the happiness questionnaire administered to the subject, and is a model for explaining happiness based on 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. The happiness questionnaire is a questionnaire used to obtain information input into the happiness model.
13. A happiness model generation program, the happiness model generation program causing a happiness model generation device, which is a computer, to execute the following processing: a questionnaire content construction process for constructing a questionnaire for constructing a happiness model as a model construction questionnaire, wherein the happiness model is a model for estimating the happiness of a subject based on the results of a happiness questionnaire administered to the subject, and is a model for explaining happiness based on 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 is performed to construct the happiness model based on questionnaire items in the model construction questionnaire that grasp the happiness extracted based on the results obtained by implementing the model construction questionnaire, and questionnaire items in the model construction questionnaire that are related to the happiness extracted based on the results obtained by implementing the model construction questionnaire. in, The happiness questionnaire is a questionnaire for obtaining information input to the happiness model.
14. A happiness calculation program for causing a happiness calculation device as a computer to execute happiness calculation processing. In the happiness calculation process, the happiness of the subject is calculated using a happiness model and the results of a happiness questionnaire administered to the subject. The happiness model is a model for estimating the happiness of the subject based on the results of the happiness questionnaire administered to the subject, and is a model for explaining happiness based on 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. in, The happiness questionnaire is a questionnaire for obtaining information input to the happiness model.