Happiness assessment device, happiness assessment method, and program

Abstract

It is possible to estimate and evaluate subjective psychological states such as enjoyment and happiness with high accuracy and continuously, and to grasp the user's state alternatively even during periods when the user has not responded to a questionnaire. [Solution] The system evaluates a user's happiness level as a result of the user's participation in a community on a network. If a subjective happiness level can be obtained from the user within a first period retroactively from a reference time, the subjective happiness level is adopted as the user's definitive happiness level at the reference time. If a subjective happiness level cannot be obtained from the user within the first period retroactively from the reference time, but a positive subjective happiness level can be obtained from the user within a second period retroactively from the reference time that is longer than the first period, and the user's subjective enjoyment as a result of participating in the community is positive, the positive subjective happiness level is adopted as the user's estimated happiness level at the reference time.

Description

[Technical Field]

[0001] The present invention relates to a happiness assessment device, a happiness assessment method, and a program for assessing a user's happiness level as a result of the user's participation in a community on a network. [Background technology]

[0002] In recent years, the visualization and quantification of the psychological states of members in organizations and communities, particularly subjective indicators such as "happiness" and "enjoyment," has become increasingly important. Traditionally, methods based on subjective self-reporting, such as questionnaires, have been commonly used to grasp these psychological states. For example, attempts have been made to grasp the state of an organization by periodically presenting employees with questions such as "Do you feel happy right now?" or "Do you enjoy your work?" and then compiling and analyzing the responses.

[0003] However, surveys in the form of questionnaires have issues such as uncertainty due to the subjectivity of the respondent, a low response rate, and response bias (such as social desirability bias), and they do not always produce sufficient data. Furthermore, analysis that relies solely on subjective data lacks objectivity and may undermine the reliability of decision-making and policy planning.

[0004] Meanwhile, with the spread of digital platforms and online communities, objective activity data based on user behavior, such as the frequency of user logins, the number of content viewed, and the number of messages sent, is being accumulated on a daily basis. These behavioral logs are thought to contain important clues about the user's level of engagement and enthusiasm, in other words, whether they are having fun.

[0005] In light of this situation, there is a demand for technology that can more accurately estimate and evaluate psychological states by combining subjective data obtained through questionnaires and other methods with objective data obtained from behavioral logs.

[0006] Patent Document 1 discloses a technology for estimating a sense of happiness based on multiple factors, but since all of the multiple factors are obtained through a questionnaire, it is not possible to estimate a sense of happiness if responses to the questionnaire are not available. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Patent No. 7536220 Summary of the Invention [Problem to be solved by the invention]

[0008] As mentioned above, conventional methods that rely on subjective questionnaires are prone to data loss and reliability issues, making it difficult to grasp continuous and stable levels of happiness and enjoyment. Furthermore, if a user does not respond to a questionnaire for a long period of time, it becomes impossible to track changes in their psychological state.

[0009] Furthermore, although the feeling of "having fun" is closely related to happiness, its definition and measurement tend to be vague, and there are no established means of supplementing it with objective data.

[0010] The present invention has been made in consideration of the above-mentioned problems, and aims to enable subjective psychological states such as enjoyment and happiness to be estimated and evaluated continuously with high accuracy, and to alternatively grasp the user's state even during periods when the user has not responded to a questionnaire. [Means for solving the problem]

[0011] According to the present invention, A happiness assessment device that assesses a user's happiness level as a result of the user participating in a community on a network, comprising: a first adoption means for adopting, when a subjective happiness level can be obtained from the user within a first period retroactively from a reference time, the subjective happiness level as the definitive happiness level of the user at the reference time; a second adoption means for adopting the positive subjective well-being as the estimated happiness of the user at the reference time, when the subjective well-being cannot be obtained from the user within the first period retroactively from the reference time, but a positive subjective well-being can be obtained from the user within a second period retroactively from the reference time that is longer than the first period, and the user's subjective enjoyment as a result of participating in the community is positive; Equipped with A happiness assessment device is provided. [Effects of the Invention]

[0012] According to the present invention, it is possible to estimate and evaluate subjective psychological states such as enjoyment and happiness with high accuracy and continuously, and to alternatively grasp the user's state even during periods when the user has not yet responded to a questionnaire. [Brief explanation of the drawings]

[0013] [Figure 1] 10 shows an example of a screen on which a questionnaire is displayed according to an embodiment of the present invention. [Figure 2] 10 is a table showing an example of a survey result according to an embodiment of the present invention. [Figure 3] 10 is a bubble chart showing an example of a survey result according to an embodiment of the present invention. [Figure 4] 1 is a functional block diagram showing a configuration of a happiness assessment device according to an embodiment of the present invention. [Figure 5] 1 is a flowchart illustrating a happiness assessment method according to an embodiment of the present invention. [Figure 6] 10 is a table showing the relationship between subjective happiness levels and definitive happiness levels in a happiness level assessment device according to an embodiment of the present invention. [Figure 7]10 is the first half of a table showing the relationship between a combination of subjective happiness and subjective enjoyment and an estimated happiness level in the happiness assessment device according to the embodiment of the present invention. [Figure 8] 10 is the second half of a table showing the relationship between the combination of subjective happiness and subjective enjoyment and the estimated happiness in the happiness assessment device according to the embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0014] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0015] [First embodiment] 1. Objective data on subjective happiness, subjective enjoyment, and enjoyment

[0016] 1.1 Definition of subjective happiness and subjective enjoyment In this specification, "subjective happiness" is a numerical representation of the degree to which a user subjectively feels "happy" about their own state, and implies the psychological fulfillment, life satisfaction, or lasting sense of security that the user gains from the existence of the community or service to which the user belongs. For example, subjective happiness can be obtained by obtaining a response on a 7-point Likert scale (1 to 7) to a question such as "Do you feel happy because of this community?"

[0017] On the other hand, "subjective enjoyment" is a subjective emotional value that indicates how "fun" a user feels in the process of using the community or service, and includes temporary emotions during the activity, the comfort of the participation experience, interest, and immersion. For example, in response to a question such as "Are you enjoying this community?", the answer value, similarly rated on a 7-point scale, is obtained as the subjective enjoyment.

[0018] Subjective happiness tends to indicate a relatively long-term psychological state and is closely related to a user's ongoing engagement and sense of belonging, whereas subjective enjoyment is related to short-term, situation-dependent pleasure and interest, and is prone to fluctuate depending on daily activities and interpersonal relationships. Although the two can be correlated, designing them as independent indicators allows for a more multifaceted and dynamic assessment of happiness.

[0019] 1.2 About the survey In this embodiment, a questionnaire containing predetermined questions is used to obtain subjective evaluations from users. The configuration and implementation of the questionnaire will be described below.

[0020] 1.2.1 Questionnaire Contents Figure 1 shows an example of a screen where a questionnaire is displayed immediately after logging in. The questionnaire includes questions to assess subjective happiness and subjective enjoyment. Specifically, a UI (user interface) is provided that allows users to answer questions in a step-by-step manner, such as "Does (community name) make you happy?" (Figure 1(a)) for subjective happiness and "Do you enjoy (community name)?" (Figure 1(b)) for subjective enjoyment.

[0021] 1.2.2 7-point response The answers to each question are on a Likert scale consisting of integer values ​​from 1 to 7, allowing users to evaluate their psychological state in stages. This allows for quantitative reflection of intermediate emotional states that cannot be captured by a simple Yes / No answer.

[0022] 1.2.2.1 Examples of subjective well-being Figure 2(a) shows an example of a question about subjective well-being and its options. For example, seven scales ranging from "strongly agree (7)" to "strongly disagree (1)" are displayed at equal intervals or as visually distinct buttons or sliders.

[0023] 1.2.2.2 Subjective enjoyment examples Figure 2(b) shows an example of the structure of questions and options regarding subjective enjoyment. The questions are similar to those regarding happiness, but are designed to encourage intuitive responses based on the feeling of the word "fun."

[0024] 1.2.2.3 The top two levels are positive, the middle three levels are neutral, and the bottom two levels are negative. On a 7-point scale, a score of 1 or 2 is classified as a positive evaluation, a score of 3 to 5 as a neutral evaluation, and a score of 6 or 7 as a negative evaluation. This classification is used for analysis and classification processing by AI, as well as for subsequent happiness calculation processing.

[0025] 1.2.3 Survey frequency The survey is presented when a certain event occurs, such as when the user logs in, but the frequency is adjusted by the system. For example, it may be adaptively controlled to once a week or once every two weeks to prevent users from stopping responding due to excessive display.

[0026] 1.2.4 User Choice to Accept / Reject Surveys Answering the questionnaire is optional for the user and is not forced. A UI (not shown) is provided that allows the user to select options such as "answer" or "not now" for the displayed questionnaire, and the design respects the user's free will in answering.

[0027] 1.2.5 As a result, for example, even if a survey screen is displayed immediately after login, responses may not be obtained. Due to this optional response design, even if a questionnaire is presented, users may skip it. Therefore, even if a questionnaire is automatically displayed immediately after login, there are many cases where subjective evaluation values ​​are not actually obtained.

[0028] 1.2.6 For example, there may be cases where you do not receive a response for more than one month or more than three months. Some users may not respond to the questionnaire for a long period of time. For example, they may not respond for more than a month, or they may not receive a subjective evaluation even after three months have passed. In such cases, when subjective data is missing, it is effective to use an estimation model based on objective data to complement the subjective enjoyment level and enable continued calculation of the happiness level.

[0029] 1.3 The relationship between subjective happiness and subjective enjoyment 1.3.1 A survey was conducted on 308 people In this embodiment, in order to verify the correlation between subjective happiness and subjective enjoyment, a predetermined questionnaire survey was conducted on a total of 308 users. The response data of both groups was obtained as numerical values ​​and statistically processed.

[0030] 1.3.2 The relationship between subjective enjoyment and subjective happiness as shown in the bubble chart in Figure 3 Figure 3 is a bubble chart with subjective hedonic enjoyment on the horizontal axis and subjective happiness on the vertical axis, and the size of each bubble indicates the number of people who answered with the corresponding score combination. This chart visually shows that the two indicators are positively correlated, and that high hedonic enjoyment tends to coincide with high happiness.

[0031] 1.3.3 Regarding the correlation of 0.74 Using the collected survey results, the Pearson correlation coefficient between subjective enjoyment and subjective happiness was calculated, resulting in a correlation coefficient of 0.74, which indicates a statistically significant positive correlation, meaning that there is a high probability that the two will fluctuate in the same direction.

[0032] 1.3.4 The percentage of people who agreed on both scores was 69.8 percent. In 69.8% of cases, the scores for subjective happiness and subjective enjoyment given by users were in perfect agreement. This indicates that approximately 70% of users felt equal levels of enjoyment and happiness.

[0033] 1.3.5 The percentage of times both scores are within ±1 is 94.8 percent. In 94.8% of cases, the difference in scores between subjective happiness and subjective enjoyment was within ±1, confirming that the emotional evaluations of both were close for the majority of users.

[0034] 1.4 The ability to estimate subjective enjoyment based on objective data (login-related index and action-related index) 1.4.1 Objective data includes data showing login-related indices and action-related indices. In this embodiment, the subjective enjoyment level can be estimated using "objective data" obtained from the behavioral logs that users generate on a daily basis. The objective data is classified into two types: login-related indices related to login behavior, and action-related indices related to activities such as content browsing and posting.

[0035] 1.4.2 About the data showing login-related indices The data indicating the login-related index related to logins to join a community includes at least some of the number of login days in a predetermined period (e.g., 60 days), the average usage time per day in a predetermined period (e.g., 60 days), the maximum number of consecutive days without logging in, and the most recent number of consecutive days without logging in. These indexes indicate the user's level of continuous involvement and usage habits, and tend to have a high correlation with enjoyment.

[0036] 1.4.3 Data showing action-related indices The data indicating the action-related index related to the user's actions in the community includes at least some of the number of blogs read in a predetermined period (e.g., 60 days), the number of content read in a predetermined period (e.g., 60 days), the number of reactions in a predetermined period (e.g., 60 days), the number of messages in a predetermined period (e.g., 60 days), the number of blog posts in a predetermined period (e.g., 60 days), and the number of events participated in in a predetermined period (e.g., 60 days). These are indicators of the user's active social activity.

[0037] 1.5 Relationship between subjective enjoyment and objective data 1.5.1 The ability to estimate subjective enjoyment based on objective data and by referencing a trained model for estimation In this embodiment, even if the subjective enjoyment level cannot be obtained, the subjective enjoyment level can be estimated by a machine learning model using the login-related index and the action-related index.

[0038] 1.5.2 Using the XGBoost, LightGBM, or CatBoost algorithms To build an estimation model, XGBoost (eXtreme Gradient Boosting), a decision tree-based gradient boosting method, LightGBM (Light Gradient Boosting Machine), which excels in speed and accuracy, or CatBoost (Categorical Boosting), which is effective for categorical data, can be used.

[0039] 1.5.3 How to generate a trained model for inference To obtain training data for subjective enjoyment, we collect survey results from multiple users. At the same time, we obtain each user's objective data (login index and action index) as explanatory variables, and train an estimation model using these data through supervised learning. The trained estimation model obtained through this learning can be used to estimate the subjective enjoyment of other users.

[0040] 1.5.4 Other algorithms and models may be used In this embodiment, it is possible to use not only the gradient boosting model described above, but also other statistical and machine learning methods such as neural networks, random forests, support vector machines (SVMs), etc. The model to be used can be flexibly selected depending on the characteristics of the data, processing speed, explainability, etc. 2. Device for assessing happiness

[0041] The happiness assessment device 401 will be described with reference to FIG.

[0042] The happiness assessment device 401 includes a user determination unit 402 , a first adoption unit 403 , a subjective enjoyment level estimation unit 404 , a second adoption unit 405 , an invalid value setting unit 406 , and a control unit 407 .

[0043] The user determination unit 402 determines whether the user has given permission to participate in the survey.

[0044] When the first adoption unit 403 has acquired the subjective happiness level from the user within a first period retroactively from the reference time, it adopts the subjective happiness level as the definitive happiness level of the user at the reference time. Here, acquiring the subjective happiness level from the user within the first period means acquiring a response to a happiness level questionnaire from the user within the first period. The first period is one month, but is not limited to this.

[0045] The subjective enjoyment level estimation unit 404 estimates the subjective enjoyment level based on objective data.

[0046] If the second adoption unit 405 cannot obtain a subjective well-being level from the user within a first period retroactively from the reference time, but can obtain a positive subjective well-being level from the user within a second period retroactively from the reference time that is longer than the first period, and the user's subjective enjoyment due to participating in the community is positive, the second adoption unit 405 adopts the positive subjective well-being level obtained from the user within the second period (excluding the first period) as the user's estimated well-being level at the reference time. Here, being able to obtain a subjective well-being level from the user within the second period means being able to obtain a response to a well-being questionnaire from the user within the second period. The second period is typically three months, but is not limited to this.

[0047] Furthermore, the subjective enjoyment level is a level of subjective enjoyment estimated from at least objective data related to the subjective enjoyment level, but if the subjective enjoyment level can be obtained by a questionnaire, this may also be used.

[0048] The invalid value setting unit 406 sets an invalid value (NULL) as the happiness level. Here, the invalid value indicates that the happiness level cannot be calculated.

[0049] The control unit 407 controls the overall operation of the happiness assessment device 401 .

[0050] The happiness assessment device 401 can also be configured by a computer 411. Here, the computer 411 includes a processor 412, a main memory 413, and a recording medium 414. The processor 412 can realize the functions of each part of the happiness assessment device 401 by temporarily transferring a program stored in the recording medium 414 to the main memory 413, and then reading and executing the program. 3. How to assess happiness (see the flowchart in Figure 5)

[0051] In S501, the user determination unit 402 determines whether the currently targeted user has consented to the implementation of a survey.

[0052] If the determination result in S501 is negative, in S502, the invalid value setting unit 406 sets an invalid value (NULL) as the happiness level, and ends the process (END).

[0053] If the determination result in S501 is positive, in S503, the first hiring unit 403 determines whether or not a subjective happiness level has been acquired from the user within a first period retroactively from the reference time.

[0054] If the determination result in S503 is positive, in S504, the first adoption unit 403 adopts the subjective happiness level acquired from the user within the first period retroactively from the reference time as the definitive happiness level, and ends the processing (end).

[0055] If the determination result in S503 is negative, the control unit 407 advances the process to S505.

[0056] In S505, the second hiring unit 405 determines whether or not the subjective happiness level has been acquired from the user within a second period retroactively from the reference time, even if the subjective happiness level has not been acquired from the user within a first period retroactively from the reference time.

[0057] If the determination result in S505 is negative, in S502, the invalid value setting unit 406 sets an invalid value (NULL) as the happiness level, and ends the process (END).

[0058] If the determination result in S505 is positive, in S506, the subjective enjoyment level estimation unit 404 estimates the subjective enjoyment level based on the objective data, and the process proceeds to S507. Note that if the subjective enjoyment level can be acquired within the third period, the acquired subjective enjoyment level may be used without performing S506. Here, the third period is preferably shorter than the second period, and more preferably shorter than the first period, but this is not necessarily the case. The period for acquiring the objective data is also preferably shorter than the second period, and more preferably shorter than the first period, but this is not necessarily the case.

[0059] In S507, the second recruitment unit 405 determines whether both the subjective happiness level and the subjective enjoyment level are positive. As is clear from the above, the subjective happiness level determined here is the subjective happiness level that could not be obtained within the first period retroactively from the reference time but was obtained within a second period retroactively from the reference time that is longer than the first period. In principle, the subjective enjoyment level determined here is the subjective enjoyment level estimated in S506, but if a subjective enjoyment level can be obtained by a questionnaire during a third period, such a subjective enjoyment level may be used.

[0060] If the determination result in S507 is negative, in S502, the invalid value setting unit 406 sets an invalid value (NULL) as the happiness level, and ends the process (END). If the determination result in S507 is positive, in S508, the second adoption unit 405 adopts the subjective happiness level that could not be obtained from the user within the first period retroactively from the reference time but was obtained from the user within the second period retroactively from the reference time as the estimated happiness level, and ends the processing (END).

[0061] FIG. 6 shows the relationship between subjective happiness and definite happiness when the subjective happiness is obtained within the first period.

[0062] Figures 7 and 8 show the relationship between the combination of subjective happiness and subjective enjoyment and the estimated happiness level when subjective happiness cannot be obtained within the first period but subjective happiness cannot be obtained within the second period.

[0063] The happiness assessment device can be realized by hardware, software, or a combination of these. The happiness assessment method performed by the happiness assessment device can also be realized by hardware, software, or a combination of these. "Realized by software" here means that the method is realized by a computer reading and executing a program.

[0064] The program can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory)). The program may also be supplied to a computer by various types of transitory computer-readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. The transitory computer-readable media can supply the program to a computer via a wired communication path such as an electric wire or optical fiber, or via a wireless communication path.

[0065] The present invention can be embodied in various other forms without departing from its spirit or main characteristics. Therefore, the above-described embodiments are merely examples and should not be interpreted as limiting. The scope of the present invention is defined by the claims and is not limited to the text of the specification. Furthermore, all modifications and variations within the equivalent range of the claims are within the scope of the present invention.

[0066] A part or all of the above-described embodiments can be described as, but not limited to, the following supplementary notes.

[0067] [Appendix 1] A happiness assessment device that assesses a user's happiness level as a result of the user participating in a community on a network, comprising: a first adoption means for adopting, when a subjective happiness level can be obtained from the user within a first period retroactively from a reference time, the subjective happiness level as the definitive happiness level of the user at the reference time; a second adoption means for adopting the positive subjective well-being as the estimated happiness of the user at the reference time, when the subjective well-being cannot be obtained from the user within the first period retroactively from the reference time, but a positive subjective well-being can be obtained from the user within a second period retroactively from the reference time that is longer than the first period, and the user's subjective enjoyment as a result of participating in the community is positive; Equipped with Happiness assessment device.

[0068] [Appendix 2] The system further comprises an enjoyment level estimation means for estimating the subjective enjoyment level based on objective data related to at least the subjective enjoyment level. 2. The happiness assessment device according to claim 1.

[0069] [Appendix 3] The objective data includes either one or both of data indicating an index related to a login to participate in the community and data indicating an index related to an action of the user in the community. 3. The happiness assessment device according to claim 2.

[0070] [Appendix 4] The data indicating an index related to logins to join the community includes at least a part of the number of days logged in, the average usage time per day, the maximum number of consecutive days without logging in, and the most recent number of consecutive days without logging in. 4. The happiness assessment device according to claim 3.

[0071] [Appendix 5] The data indicating an index related to the user's actions in the community includes at least some of the number of blogs read, the number of content read, the number of reactions, the number of messages, the number of blog posts, and the number of event participations. 4. The happiness assessment device according to claim 3.

[0072] [Appendix 6] The enjoyment level estimation means estimates the subjective enjoyment level based on the objective data for estimation, with reference to a trained model generated by machine learning using the subjective enjoyment level for training and the objective data for training. 3. The happiness assessment device according to claim 2.

[0073] [Appendix 7] the subjective enjoyment levels for learning are obtained from a plurality of users through a questionnaire survey of the plurality of users; the objective data for learning is acquired from the login status of the plurality of users to participate in the community; 7. The happiness assessment device according to claim 6.

[0074] [Appendix 8] The subjective enjoyment level for learning is obtained from the user through a questionnaire given to the user. 7. The happiness assessment device according to claim 6.

[0075] [Appendix 9] The enjoyment level estimation means estimates the subjective enjoyment level using an algorithm such as XGBoost, LightGBM, or CatBoost. 3. The happiness assessment device according to claim 2.

[0076] [Appendix 10] The subjective happiness level is obtained from the user through a questionnaire. 2. The happiness assessment device according to claim 1.

[0077] [Appendix 11] The subjective well-being level has m levels, with the higher m1 level being positive, the middle m2 level being neutral, and the lower m3 level being negative. m, m1, m2, and m3 are all natural numbers, m=m1+m2+m3, 2. The happiness assessment device according to claim 1.

[0078] [Appendix 12] The subjective enjoyment level is divided into n levels, with the highest level (n1) being positive, the middle level (n2) being neutral, and the lowest level (n3) being negative. n, n1, n2, and n3 are all natural numbers, n=n1+n2+n3, 2. The happiness assessment device according to claim 1.

[0079] [Appendix 13] A happiness evaluation method for evaluating a user's happiness level as a result of the user participating in a community on a network, comprising: a determining step of determining, when a subjective well-being level is obtained from the user within a first period retroactively from a reference time, the subjective well-being level as the well-being level of the user at the reference time; an estimation step of estimating the positive subjective well-being as the happiness of the user at the reference time, when the subjective well-being cannot be obtained from the user within the first period retroactively from the reference time, but a positive subjective well-being can be obtained from the user within a second period retroactively from the reference time that is longer than the first period, and the user's subjective enjoyment as a result of participating in the community is positive; having Happiness assessment method.

[0080] [Appendix 14] A program for causing a computer to function as the happiness assessment device described in any one of appendices 1 to 12. [Explanation of symbols]

[0081] 401 Happiness Assessment Device 402 User Determination Unit 403 1st Recruitment Department 404 Subjective enjoyment estimation unit 405 2nd Recruitment Department 406 Invalid Value Setting Section 407 Control Unit

Claims

1. A happiness assessment device that assesses a user's happiness level as a result of the user participating in a community on a network, comprising: a first adoption means for adopting, when a subjective happiness level is acquired from the user within a first period retroactively from a reference time, the subjective happiness level as the definitive happiness level of the user at the reference time; a second adoption means for adopting the positive subjective well-being as the estimated happiness of the user at the reference time, when the subjective well-being cannot be obtained from the user within the first period retroactively from the reference time, but a positive subjective well-being can be obtained from the user within a second period retroactively from the reference time that is longer than the first period, and the user's subjective enjoyment as a result of participating in the community is positive; Equipped with Happiness assessment device.

2. The system further comprises an enjoyment level estimation means for estimating the subjective enjoyment level based on objective data related to at least the subjective enjoyment level. The happiness assessment device according to claim 1 .

3. The objective data includes either one or both of data indicating an index related to a login to participate in the community and data indicating an index related to an action of the user in the community. The happiness assessment device according to claim 2 .

4. The data indicating an index related to logins to join the community includes at least a part of the number of days logged in, the average usage time per day, the maximum number of consecutive days without logging in, and the most recent number of consecutive days without logging in. The happiness assessment device according to claim 3 .

5. The data indicating an index related to the user's actions in the community includes at least some of the number of blogs read, the number of content read, the number of reactions, the number of messages, the number of blog posts, and the number of event participations. The happiness assessment device according to claim 3 .

6. The enjoyment level estimation means estimates the subjective enjoyment level based on the objective data for estimation, with reference to a trained model generated by machine learning using the subjective enjoyment level for training and the objective data for training. The happiness assessment device according to claim 2 .

7. the subjective enjoyment levels for learning are obtained from a plurality of users through a questionnaire survey of the plurality of users; the objective data for learning is acquired from the login status of the plurality of users to participate in the community; The happiness assessment device according to claim 6 .

8. The subjective enjoyment level for learning is obtained from the user through a questionnaire given to the user. The happiness assessment device according to claim 6 .

9. The enjoyment level estimation means estimates the subjective enjoyment level using an algorithm such as XGBoost, LightGBM, or CatBoost. The happiness assessment device according to claim 2 .

10. The subjective happiness level is obtained from the user through a questionnaire. The happiness assessment device according to claim 1 .

11. The subjective well-being level has m levels, and among the m levels, the higher m1 level is positive, the middle m2 level is neutral, and the lower m3 level is negative. m, m1, m2, and m3 are all natural numbers, m=m1+m2+m3, The happiness assessment device according to claim 1 .

12. The subjective enjoyment level has n levels, with the highest level n1 being positive, the middle level n2 being neutral, and the lowest level n3 being negative. n, n1, n2, and n3 are all natural numbers, n=n1+n2+n3, The happiness assessment device according to claim 1 .

13. A happiness evaluation method for evaluating a user's happiness level as a result of the user participating in a community on a network, comprising: a determining step of determining, when a subjective well-being level is obtained from the user within a first period retroactively from a reference time, the subjective well-being level as the well-being level of the user at the reference time; an estimation step of estimating the positive subjective well-being as the happiness of the user at the reference time, when the subjective well-being cannot be obtained from the user within the first period retroactively from the reference time, but a positive subjective well-being can be obtained from the user within a second period retroactively from the reference time that is longer than the first period, and the user's subjective enjoyment as a result of participating in the community is positive; having Happiness assessment method.

14. A program for causing a computer to function as the happiness assessment device according to any one of claims 1 to 12.

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