EQ (emotional quotient) measuring device

Abstract

To provide an EQ (emotional quotient) measuring device capable of reducing efforts to create advice for various scores, etc. while conducting more effective score measurements in EQ measurement.SOLUTION: An EQ (emotional quotient) measuring device 1 of the present invention comprises a question display command section 112 to display a question related to the measurement of an emotional quotient (EQ), an answer receiving section 113 to receive an answer to the question from a measurement target object, a calculation section 114 to calculate multiple scores related to the EQ based on the answer, a machine learning section 111 to make a large-scale language model 131 machine-learn the generation of an advice based on the score, an advice generating section 117 to make the large-scale language model 131 generate the advice for the measurement target object based on the multiple scores, and a result display command section 118 to display the scores and the advices. The calculation section 114 calculates the multiple scores including a stress degree indicating the level of mental stress as an EQ score and normativity indicating the tendency to follow rules.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a device for measuring EQ (Emotional Intelligence Quotient).

Background Art

[0002] As a means for predicting the ability of life and work skills, EQ (Emotional Intelligence Quotient) is used. Compared with IQ (Intelligence Quotient), which indicates the ability to quickly lead an appropriate answer to a question with a clear answer, EQ is an index indicating the ability to search for an answer to a question without a clear answer. Thus, EQ can be a measure for finding a person with a problem in communication. In order to further utilize such a useful EQ, there is a need for a means for performing a more effective score measurement related to EQ and providing the measured score together with appropriate advice according to the score.

[0003] Regarding the measurement of EQ (Emotional Intelligence Quotient), Patent Document 1 discloses a psychological characteristic analysis unit that classifies a user into a purchase behavior type indicating a difference in the user's purchase behavior using the deviation value of 24 competencies, the scores of 8 abilities, and the scores of 3 intelligences in EQ evaluation, and a determination rule for classifying the user's social susceptibility, mental state characteristics, selection attitude characteristics, and the user's favorite color based on clustering using the deviation value of the competencies or the evaluation score of EQ characteristics. The technology of Patent Document 1 can advertise a product with appropriate advertising content in consideration of the purchase psychology of the user associated with the purchase behavior of the product.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] By the way, in order to predict the ability of life and work skills, in addition to the various scores described above, a score that further includes a stress level indicating the degree of mental stress and a score related to normativity indicating a tendency to follow rules is calculated, and comments (advice) that comprehensively consider the overall score including these are provided, and it is considered beneficial to proceed with training according to the comments in three steps.

[0006] However, the technology of Patent Document 1 only allows advertising of products with appropriate advertising content in consideration of the purchasing psychology of users associated with the purchasing behavior of products, and there is still room for further improvement in terms of performing more effective score measurement.

[0007] By analyzing the stress level and regularity, it is considered possible to provide advice based on these scores in addition to the conventional scores. In addition, if advice that comprehensively considers all scores is provided, it becomes possible to handle various scores, fields of use, and training. However, as the number of score items increases, the labor required to prepare advice that comprehensively considers all scores can increase in proportion to the power of the number of items. Therefore, the technology of Patent Document 1 has room for further improvement not only in terms of performing more effective score measurement but also in terms of reducing the labor required to create advice corresponding to various scores, fields of use, and EQ training.

[0008] The present invention has been made in view of such circumstances. An object of the present invention is to reduce the labor required to create advice corresponding to various scores and the like while performing more effective score measurement in the measurement of EQ (Emotional Quotient).

Means for Solving the Problems

[0009] As a result of intensive studies to solve the above problems, the inventors have found that by measuring a unique EQ (Emotional Quotient) that further includes a stress level indicating the degree of mental stress and a normativity indicating a tendency to follow rules, and performing processes such as generating advice based on the measurement results to a large language model, the above object can be achieved. Then, the inventors have completed the present invention. Specifically, the present invention provides the following.

[0010] The present invention includes a question display command unit that displays questions related to the measurement of an Emotional Quotient (EQ), an answer reception unit that receives answers to the questions from a measurement target, a calculation unit that calculates a plurality of scores related to the EQ based on the answers, a machine learning unit that machine-learns the generation of advice based on the scores using learning data in which the scores are explanatory variables and advice to the measurement target related to the scores is an objective variable for a large language model, an advice generation unit that generates advice to the measurement target based on the plurality of scores to the large language model, and a result display command unit that displays the scores and the advice. The calculation unit calculates a plurality of scores that further include a stress level indicating the degree of mental stress and a normativity indicating a tendency to follow rules as scores of the EQ, and provides a measuring device for the EQ (Emotional Quotient).

[0011] When using EQ as a means to predict the ability of life and work skills in labor management and organizational management, the stress level of the measurement target person is important in judging the mental health state of the measurement target person. Also, when using EQ in job hunting activities, personnel recruitment, labor management, organizational management, etc., the normativity indicating the tendency of the measurement target person to follow rules is important in determining how to get along with the organization.

[0012] The present invention calculates a unique EQ (Emotional Quotient) in which the calculation unit further includes a stress level and normativity. Thereby, the present invention performs more effective score measurement in job hunting activities, personnel recruitment, labor management, organizational management, etc.

[0013] By the way, in order to use EQ as more than just a prediction means, it is important to provide advice based on the EQ score. However, as the number of score items increases, the effort required to prepare in advance advice that comprehensively considers all scores can increase in proportion to the power of the number of items. Therefore, when calculating a unique EQ that further includes stress level and normativity, the effort required to prepare in advance advice that comprehensively considers the score of the said EQ can become enormous.

[0014] The machine learning unit of the present invention performs machine learning for generating advice based on the score of a unique EQ of the present invention, using, for a large language model, learning data in which the score of the unique EQ of the present invention is an explanatory variable and advice to the measurement target related to the score is an objective variable.

[0015] As a result, the advice generation unit of the present invention can cause the large language model to generate advice to the measurement target based on a plurality of scores, without expending the effort of preparing in advance advice that comprehensively considers all scores. Therefore, the present invention can perform more effective score measurement including stress level and normativity in the measurement of EQ (Emotional Quotient), while reducing the effort of creating advice corresponding to various scores of the present invention. And the present invention can display the calculated score of the unique EQ of the present invention and the generated advice.

[0016]

Effect of the Invention

[0017] The present invention can perform more effective score measurement in the measurement of EQ (Emotional Quotient), while reducing the effort of creating advice corresponding to various scores and the like.

Brief Description of the Drawings

[0018]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Mode for Carrying Out the Invention

[0019] The following will describe in detail an example of an embodiment of the present invention with reference to the drawings.

[0020] <System S> FIG. 1 is a block diagram showing the hardware configuration and software configuration of the system S of the present embodiment. Hereinafter, an example of a preferable aspect of the hardware configuration and software configuration of the system S of the present embodiment will be described with reference to FIG. 1.

[0021] The measurement system S (system S) for EQ (Emotional Quotient) calculates an EQ score including stress level and normality based on the answers received from the measurement target, and includes a measurement device 1 for EQ (Emotional Quotient) that generates, displays, and provides advice based on the score, and a terminal T configured to be communicable with the measurement device 1 via a network N. The EQ score in the present embodiment is also referred to as "measurement result of EQ" or simply "measurement result". The result of adding advice based on the EQ score to the EQ score in the present embodiment is also referred to as "diagnosis result of EQ" or simply "diagnosis result".

[0022] 〔Measurement Device 1〕 The measurement device 1 includes a control unit 11, a storage unit 13, a communication unit 14, and the like. The type of the measurement device 1 is not particularly limited. Examples of the type include a server, a cloud server, and the like. The measurement device 1 preferably functions as a web server that displays a website showing the calculated unique EQ and the like.

[0023] The measurement device 1 is configured to be able to execute a process of causing the large language model 131 to perform machine learning, a process of calculating a unique EQ, a process of generating advice based on the score of the unique EQ calculated for the large language model 131 on which the machine learning has been performed, and a process of displaying the calculated score and advice. The execution of these processes is realized, for example, via an API related to the use of the large language model 131. The following is a more detailed configuration example of the measurement device 1.

[0024] [Control Unit 11] The control unit 11 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like.

[0025] The control unit 11 cooperates with the storage unit 13 and / or the communication unit 14 as necessary. And the control unit 11 realizes software components of the program of the present embodiment executed by the measurement device 1, such as a machine learning unit 111, a question display instruction unit 112, an answer reception unit 113, a calculation unit 114, a field of use reception unit 115, a history acquisition unit 116, an advice generation unit 117, a result display instruction unit 118, a first advertisement acquisition unit 119, a second advertisement acquisition unit 120, etc. The functions provided by each of the software components of the program of the present embodiment are shown in the description of the preferred flow of the measurement process described later.

[0026] [Storage Unit 13] The storage unit 13 is a device in which data and / or files are stored, and has a storage unit that stores data non-temporarily by means of a hard disk, a semiconductor memory, a recording medium, a memory card, and the like.

[0027] The storage unit 13 may have a mechanism that enables connection to a storage device or a storage system such as a NAS (Network Attached Storage), a SAN (Storage Area Network), a cloud storage, a file server, and / or a distributed file system via the network N.

[0028] The memory unit 13 stores programs executed by a microcomputer, a large language model 131, an advertisement table 132, EQ questions, EQ answers, EQ scores, various data related to the measurement target, the EQ tendencies of the talents that companies and the like want to employ, and the like. The various data related to the measurement target are, for example, age, gender, address / residence, purpose of measuring EQ (diagnostic purpose), and the like.

[0029] (Large Language Model 131) The large language model 131 (Large Language Model, LLM) in the present embodiment is a type of probability model used in natural language processing, and is a model for probabilistically predicting how likely a given word / sentence is to occur as natural language.

[0030] The large language model 131 may be stored in an external cloud server or the like and executed via an API (Application Programming Interface) related to the use of the large language model 131, or may be executed in a mode where the large language model 131 stored in the memory unit 13 is executed. By being in a mode where the large language model 131 is executed via the API, the measuring device 1 has a simpler configuration and better cost-effectiveness than a mode where the large language model 131 is stored in the memory unit 13. By being in a mode where the large language model 131 stored in the memory unit 13 is executed, the measuring device 1 can execute the processing related to the large language model 131 without communicating with an external device such as a cloud server one by one. Thereby, the measuring device 1 can reduce the processing delay related to communication, risks in terms of information security, and the like.

[0031] The large language model 131 is preferably trained with a large amount of text of 500 GB (gigabytes) or more. Examples of such models include ChatGPT, GPT-3.5, GPT-4 of OpenAI (registered trademark), and LLaMa of Meta AI (registered trademark). As the amount of training data of the language model increases, its performance increases along the Broken Neural Scaling Law (BNSL), and it is considered to acquire emergent abilities when transitioning between segments in the BNSL. Therefore, the large language model 131 of the present embodiment has emergent abilities related to the generation of advice based on the EQ score obtained according to the amount of text used for pre-training.

[0032] The large language model 131 is preferably a model having at least 10 billion or more parameters. Thereby, the large language model 131 can execute processing that sufficiently reflects the emergent abilities obtained from a large amount of text.

[0033] The large language model 131 is preferably pre-trained using the same training data as the machine learning executed by the machine learning unit 111 in the measurement process described later. Thereby, even when the machine learning by the machine learning unit 111 is insufficient, the measurement device 1 can generate advice in the same manner as when the machine learning by the machine learning unit 111 is sufficiently performed.

[0034] (Advertising table 132) The advertising table 132 stores advertisements to be displayed together with the EQ measurement results or diagnosis results. The advertisement is preferably stored in association with the EQ measurement results and / or the fields of use of the advice based on the EQ measurement results.

[0035] By storing the advertisement in association with the measurement results, the measurement device 1 can display an advertisement suitable for the measurement target having a mental tendency as indicated by the measurement results based on the EQ measurement results.

[0036] The application field related to EQ is not particularly limited. The application field includes, for example, the field of using EQ as a guideline for job hunting activities and career decisions (the application field of job hunting and career paths), the field of using EQ as a guideline for job offers and recruitment (the application field of recruitment), the field of using EQ as a guideline for labor management (the application field of labor), the field of using EQ as a guideline for organizational activation and personnel evaluation (the application field of personnel), the field of using EQ as a guideline for personnel introduction (the application field of introduction), and the like.

[0037] By storing the advertisement in association with the application field, the measuring device 1 can display advice according to the measurement result and the application field, and can also display an advertisement related to the application field. For example, as advice according to the application field of job hunting and career paths, the measuring device 1 can display advice introducing a workplace, school, etc. suitable for the measurement target having a mental tendency as shown by the measurement result, and can display an advertisement for recruiting new students, a job offer advertisement, etc. as an advertisement according to the application field.

[0038] By storing the advertisement in association with the EQ measurement result and the application field, the measuring device 1 can display advice according to the measurement result and the application field, and can also display an advertisement related to the application field and the measurement result. For example, as advice according to the application field of job hunting and career paths, the measuring device 1 can display a job offer advertisement, an advertisement for recruiting new students, etc. related to a workplace, school, etc. suitable for the measurement target having a mental tendency as shown by the measurement result.

[0039] (Information related to EQ) In the memory unit 13, as information related to EQ, questions of EQ, answers to EQ, scores of EQ, history of scores of EQ, etc. are stored. The questions of EQ are, for example, a list of a given number of questions regarding the mental tendencies of the measurement target, such as "Q1. I am concerned about how I am seen by others." The answers to EQ are, for each of the above-mentioned questions, for example, answers given in a multiple-choice format with numbers attached, such as "4: Quite applicable 3: Somewhat applicable 2: Not very applicable 1: Almost not applicable". The score of EQ is a group of scores calculated based on the above-mentioned answers, and is, for example, an emotion discrimination score indicating the ability to identify emotions, an emotion utilization score indicating the ability to utilize emotions, an emotion understanding score indicating the ability to understand emotions, an emotion regulation score indicating the ability to regulate emotions, a stress level indicating the degree of mental stress, and normativity (competence) indicating the tendency to follow rules. By storing this information related to EQ in the memory unit 13, the measurement device 1 can provide questions to the terminal T or the like, store the answers transmitted from the terminal T or the like in the memory unit 13, and provide the scores calculated based on the answers to the terminal T or the like.

[0040] The number of questions in the inquiry is not particularly limited. The number of questions is, for example, 24 questions, 30 questions, 36 questions, 120 questions, 180 questions, 240 questions, etc. By setting the number of questions to a relatively small number such as 24 questions, 30 questions, 36 questions, etc., the measuring device 1 can measure EQ in a short time. By setting the number of questions to a relatively large number such as 120 questions, 180 questions, 240 questions, etc., the measuring device 1 can measure EQ with higher accuracy. The questions preferably correspond to the types of scores. Thereby, the measuring device 1 can quickly calculate the score, for example, by totaling the numbers assigned to the answers to the questions corresponding to each type of score for each type of score and calculating the score based on the total. The process is, for example, in five questions corresponding to a certain type of score, if the total of the answer numbers in the answers assigned numbers 1-4 is 4 or more and 5 or less, the score is 1, if the total is 6 or more and 9 or less, the score is 2, if the total is 10 or more and 14 or less, the score is 3, if the total is 15 or more and 18 or less, the score is 4, and if the total is 19 or more and 20 or less, the score is 5. Some or all of the questions stored in the storage unit 13 may correspond to multiple types of scores. Thereby, the measuring device 1 can calculate more types of scores in detail with fewer questions.

[0041] Since the EQ score includes an emotion understanding score, an emotion utilization score, an emotion understanding score, and an emotion regulation score, the measuring device 1 can provide a basic mental intelligence index similar to the conventional EQ to the measurement target, etc.

[0042] Since the EQ score includes the degree of stress, the measuring device 1 can provide a material for judging the mental health state of the measurement target together with a mental intelligence index that is closely related to the mental health state. For example, by providing a score indicating a high emotion regulation score and a high degree of stress, the measuring device 1 can provide a material for judging whether there is a state where stress is chronically accumulated due to excessive emotion regulation.

[0043] Furthermore, the measurement device 1 of this embodiment can be configured to calculate an EQ score including a score indicating stress resistance (stress resistance score) in addition to the stress level, in order to indicate the relationship between stress level and stress resistance. The stress resistance score may include further subdivided scores. For example, the stress resistance score includes, as further subdivided scores, a score indicating a characteristic that enhances stress (risk pattern score), a score indicating a method of dealing with stress (coping score), and a score indicating stress relaxation ability (stress relaxation ability score), etc.

[0044] By including normativity in the EQ score, the measurement device 1 can provide information for judging whether the subject tends to follow discipline, together with the emotional intelligence quotient, which is closely related to the tendency to follow discipline. In other words, the measurement device 1 can provide information for determining how to compromise with an organization. For example, by providing a score indicating a high emotion understanding score and a high normativity, the measurement device 1 can provide information for judging whether the subject is a leader who can understand the emotions of subordinates and compromise well with discipline.

[0045] Furthermore, the measurement device 1 of this embodiment can be configured to calculate an EQ score including a score indicating the career orientation (career orientation score) in order to indicate the career orientation of the measurement subject with respect to normativeness. The career orientation may include further subdivided scores to indicate in more detail the career suitable for the measurement subject. For example, the career orientation includes various scores related to development sales orientation, specialty orientation, leadership orientation, support orientation, activity orientation, creative orientation, task adjustment orientation, analytical orientation, etc. as further subdivided scores.

[0046] [Communications Section 14] The communication unit 14 is not particularly limited as long as it can connect the measuring device 1 to the network N and communicate with the terminal T, etc. Examples of the communication unit 14 include a wireless device compatible with a mobile phone network, a device connectable to a wireless LAN, and a network card compatible with the Ethernet standard.

[0047] [Network N] The type of the network N is not particularly limited as long as it enables the measuring device 1 and the terminal T, etc. to communicate with each other. Examples of the type of the network N include the Internet, a mobile phone network, a wireless LAN, etc.

[0048] [Terminal T] The terminal T is not particularly limited. The terminal T includes a subject terminal used by a measurement target such as a job applicant (e.g., a student, etc.) or an employee, and a user terminal used by a user who utilizes the measurement results exemplified by a job hunting supporter (e.g., a person in charge of job hunting at a school, etc.), a recruitment person at a business company, a labor person in charge, a person in charge of organizational activation, a person in charge of personnel evaluation, and a person in charge of applicants at a personnel agency. In order for the measurement target to be able to utilize the measurement results (scores and advice), the subject terminal may also serve as the user terminal.

[0049] Also, the terminal T may include a proxy terminal used by a proxy (e.g., the above-mentioned user, etc.) who inputs an answer instead of the measurement target. The proxy terminal is preferably configured to execute a process of printing questions, a process of printing a mark sheet on which answers are written, and a process of reading and inputting answers from the mark sheet in order to facilitate the proxy to conduct an EQ measurement of the measurement target.

[0050] The terminal T is configured to execute a process of displaying the EQ questions provided by the measuring device 1, a process of transmitting the answers to the EQ questions to the measuring device 1, and a process of displaying the EQ score and advice regarding the score provided by the measuring device 1.

[0051] [Main flowchart of the measurement process executed by the measuring device 1] FIG. 2 is a main flowchart showing an example of a preferable flow of the measurement process executed by the measuring device 1 of the present embodiment. FIG. 3 is a figure following FIG. 2. FIG. 4 is a figure following FIG. 3. The following is an example of a preferable flow of the measurement process executed by the measuring device 1 of the present embodiment using FIGS. 2 to 4.

[0052] In the measurement process, first, the measurement device 1 uses the EQ score as an explanatory variable and the advice for the measurement target related to the score as a target variable to perform a process (from step S1 to step S2) of causing the large language model 131 to perform machine learning for generating advice based on the score. Thereby, the measurement device 1 can cause the large language model 131 to generate appropriate advice comprehensively considering the EQ score unique to the present embodiment.

[0053] [Step S1: Determine whether to execute machine learning] The control unit 11 executes a process of determining whether to execute machine learning in cooperation with the storage unit 13 and the like (step S1, machine learning determination step). If it is determined to execute, the control unit 11 moves the process to step S2. If it is determined not to execute, the control unit 11 moves the process to step S3.

[0054] [Step S2: Execute machine learning] The control unit 11 executes the machine learning unit 111 in cooperation with the storage unit 13 and the like. Then, the control unit 11 causes the machine learning unit 111 to perform a process of causing the large language model 131 to perform machine learning for generating advice based on the score, using the EQ score as an explanatory variable and the advice for the measurement target related to the score as a target variable (step S2, machine learning step). The control unit 11 moves the process to step S3.

[0055] Subsequently, the measurement device 1 executes a series of processes of displaying the EQ questions unique to the present embodiment and calculating a score based on the answers to the questions. Thereby, the measurement device 1 of the present embodiment performs more effective score measurement in job hunting, personnel recruitment, labor management, organizational management, and the like.

[0056] [Step S3: Display questions] The control unit 11 executes the inquiry display instruction unit 112 in cooperation with the storage unit 13, the communication unit 14, etc. Then, the control unit 11 executes a process of causing the terminal T or the like to display the EQ inquiry by the inquiry display instruction unit 112 (step S3, inquiry display instruction step). The control unit 11 moves the process to step S4.

[0057] The inquiry display instruction step preferably includes a procedure of outputting the inquiry as a data file. Thereby, the measuring device 1 can provide the inquiry as a data file, and it becomes easier for a proxy who inputs an answer instead of the measurement target to provide the inquiry to the measurement target. The form of the data file is not particularly limited, and for example, various document files such as files in PDF (Portable Document Format) format (PDF files), various image files, etc. may be used.

[0058] [Step S4: Determine whether an answer has been received] The control unit 11 executes the answer reception unit 113 in cooperation with the storage unit 13, the communication unit 14, etc. Then, the control unit 11 executes a process of determining whether an answer has been received from the terminal T or the like for which display was instructed in the inquiry display instruction step by the answer reception unit 113 (step S4, answer reception step). If it is determined that an answer has been received, the control unit 11 moves the process to step S5. If it is not determined that an answer has been received, the control unit 11 returns the process to step S4.

[0059] [Step S5: Store the received answer] The control unit 11 executes a process of storing the answer received in the answer reception step in the storage unit 13 by the answer reception unit 113 (step S5, answer storage step). The control unit 11 moves the process to step S6.

[0060] [Process of collecting answers in conversation form] The measurement process preferably includes a series of processes for collecting answers in a conversation format. In the series of processes performed in the conversation format, the control unit 11 executes a process of causing the large language model 131 to generate questions related to EQ in cooperation with the storage unit 13 and the like. At this time, it is preferable that the large language model 131 has been pre-trained regarding generating questions related to EQ. The pre-training is realized, for example, by pre-training that includes associating a prompt for prompting question generation with the questions in the learning data. After generating the questions, the control unit 11 executes a process of causing the terminal T and the like to display the questions in cooperation with the storage unit 13 and the communication unit 14 and the like.

[0061] After displaying the questions, the control unit 11 receives an answer to the questions in cooperation with the storage unit 13 and the communication unit 14 and the like. Then, the control unit 11 executes a process of converting the answer into qualitative data used for calculating the score related to EQ in cooperation with the storage unit 13 and the like. The process of converting into qualitative data includes, for example, a procedure of converting the answer into qualitative data by using a large language model 131 that takes as input a prompt including a question as to which score the answer is classified into. At this time, it is preferable that the large language model 131 has been pre-trained regarding converting answers into qualitative data. The pre-training is realized, for example, by pre-training that includes associating answers with qualitative data in the learning data.

[0062] By executing a series of processes for collecting answers in a conversation format using the large language model 131, the measuring device 1 can measure a multi-faceted EQ score that captures not only the calculation formula based on the selected answer but also the nuances of the words. Also, thereby, the measuring device 1 can present the measurement result (diagnosis result) in a consensus formation method that forms a consensus with the measurement target.

[0063] [Step S6: Calculate the score] The control unit 11 executes the calculation unit 114 in cooperation with the storage unit 13, the communication unit 14, and the like. Then, the control unit 11 executes a process of calculating a plurality of scores related to EQ based on the answer received in the answer reception step by the calculation unit 114 (step S6, calculation step). The control unit 11 stores the calculated scores in the storage unit 13 and moves the process to step S7. The plurality of scores calculated in the calculation step include, for example, an emotion recognition score indicating the ability to identify emotions, an emotion utilization score indicating the ability to utilize emotions, an emotion understanding score indicating the ability to understand emotions, an emotion adjustment score indicating the ability to adjust emotions, a stress level indicating the degree of mental stress, and normativity indicating the tendency to follow rules.

[0064] The procedure for calculating a plurality of scores in the calculation step is not particularly limited, and except for the scores related to the stress level and normativity, it may be the same as the score calculation in the conventional EQ. The calculation of the score related to the stress level is performed, for example, by a procedure using the number of the option selected in the answer to the question related to the stress level. The calculation of the score related to normativity is performed, for example, by a procedure using the number of the option selected in the answer to the question related to normativity.

[0065] By calculating a unique EQ (mental intelligence index) further including the stress level and normativity in the calculation step by the calculation unit 114, the measuring device 1 of the present embodiment performs more effective score measurement in job hunting, personnel recruitment, labor management, organizational management, and the like.

[0066] In the measurement process, the measuring device 1 executes a series of processes (steps S7 to S11) for causing the large language model 131 to generate advice based on scores and the like. Thereby, the measuring device 1 can generate advice considering all scores without spending the labor of preparing advice considering all scores in advance. Therefore, the measuring device 1 can achieve both more effective score measurement further including the stress level and normativity in the measurement of EQ (mental intelligence index), reducing the labor related to the creation of advice, and providing advice corresponding to various scores and application fields.

[0067] The calculation step preferably includes a procedure of referring to various data related to the measurement target stored in the storage unit 13. Thereby, the measuring device 1 can realize the calculation of a personalized score according to the measurement target. Therefore, the more the measuring device 1 is used by the measurement target, the more it is improved into a more personalized system.

[0068] In a series of processes for causing the large language model 131 to generate advice in the measurement process, the measuring device 1 preferably executes a series of processes (steps S7 to S8) for causing the large language model 131 to generate advice based on the history of a plurality of scores. Thereby, the measuring device 1 can generate advice based on the growth result of EQ. Therefore, the measuring device 1 can realize giving an index of mental growth during activities to those who are engaged in job hunting activities, giving an index of mental growth of employees, etc. to labor affairs staff, organizational activity staff, and personnel evaluation staff, etc. of enterprises.

[0069] When executing a series of processes for causing the large language model 131 to generate advice based on the history of a plurality of scores, in the machine learning step, the machine learning unit 111 includes the history of a plurality of scores related to EQ in this embodiment as an explanatory variable, and uses learning data including advice based on the history of the plurality of scores as an objective variable. It is preferable to perform machine learning on the large language model 131 to generate advice based on the history of the plurality of scores. Thereby, the measuring device 1 can generate more appropriate advice based on the history.

[0070] [Step S7: Determine whether to obtain the history] The control unit 11 executes the history acquisition unit 116 in cooperation with the storage unit 13, the communication unit 14, etc. Then, the control unit 11 executes a process of determining whether to acquire from the storage unit 13 the history of a plurality of scores stored in the calculation step by the history acquisition unit 116 (step S7, history acquisition step). If it is determined to acquire, the control unit 11 acquires the above-described plurality of histories from the storage unit 13 and moves the process to step S8. If it is not determined to acquire, the control unit 11 moves the process to step S9.

[0071] The procedure for determining whether to acquire the history in the history acquisition step is not particularly limited. The procedure may be, for example, a process of determining to acquire the history when an instruction related to the generation of advice using the history is received from the terminal T or the like. The history acquired in the history acquisition step includes, for example, the previous score for the same measurement target, the score a certain period ago for the same measurement target (e.g., the score of last month, the score of last year, etc.), and other past scores. Thereby, the measuring device 1 can clearly show the period during which there was mental growth in the measurement target using words indicating the previous time or a certain period ago.

[0072] [Step S8: Generate advice based on history] The control unit 11 executes the advice generation unit 117 in cooperation with the storage unit 13 and the communication unit 14. Then, the control unit 11 executes a process of causing the large language model 131 to generate advice based on the history of the plurality of scores by including the history of the plurality of scores acquired in the history acquisition step in the input to the large language model 131 (step S8, history-corresponding advice generation step). The control unit 11 moves the process to step S9.

[0073] In a series of processes for causing the large language model 131 to generate advice in the measurement process, it is preferable for the measurement device 1 to execute a series of processes (from step S9 to step S10) for causing the large language model 131 to generate advice based on the field of use of the advice related to EQ. Thereby, the measurement device 1 can generate advice suitable for the field of use of the advice related to EQ. Therefore, the measurement device 1 can generate and provide advice according to various fields of use such as job hunting activities, corporate recruitment, labor, organizational activation, and personnel evaluation.

[0074] When executing a series of processes for causing the large language model 131 to generate advice based on the field of use of the advice related to EQ, in the machine learning step, the machine learning unit 111 includes a plurality of scores related to EQ in this embodiment and the field of use of the advice related to EQ as explanatory variables, and machine learning using learning data including advice based on the field of use and the plurality of scores as the target variable, and it is preferable to cause the large language model 131 to machine learn to generate advice based on the field of use and the plurality of scores. Thereby, the measurement device 1 can generate more appropriate advice according to the field of use.

[0075] [Step S9: Determine whether the field of use has been received] The control unit 11 executes the field of use reception unit 115 in cooperation with the storage unit 13, the communication unit 14, etc. Then, the control unit 11 executes a process of determining whether to receive the field of use of EQ from the terminal T etc. whose display was commanded in the question display command step by the field of use reception unit 115 (step S9, field of use reception step). If it is determined that it has been received, the control unit 11 stores the field of use in the storage unit 13 and moves the process to step S10. If it is determined that it has not been received, the control unit 11 moves the process to step S11.

[0076] Although it is repetitive, the field of use of EQ is not particularly limited. The field of use includes, for example, the field of using EQ as a guideline for job hunting activities and career decisions (the field of use for job hunting and career paths), the field of using EQ as a guideline for recruitment and employment (the field of use for recruitment), the field of using EQ as a guideline for labor management (the field of use for labor), the field of using EQ as a guideline for organizational activation and personnel evaluation (the field of use for personnel), the field of using EQ as a guideline for personnel introduction (the field of use for introduction), and the like.

[0077] [Step S10: Generate advice based on the field of use and scores] The control unit 11 executes the advice generation unit 117 in cooperation with the storage unit 13 and the communication unit 14. Then, the control unit 11 causes the advice generation unit 117 to execute a process of generating advice based on the field of use and the plurality of scores by a procedure including the field of use received in the field-of-use reception step and the plurality of scores calculated in the calculation step as an input to the large language model 131 (step S10, field-of-use corresponding advice generation step). The control unit 11 moves the process to step S12.

[0078] [Step S11: Generate advice based on scores] The control unit 11 executes the advice generation unit 117 in cooperation with the storage unit 13 and the communication unit 14. Then, the control unit 11 causes the advice generation unit 117 to execute a process of generating advice based on the plurality of scores by a procedure including the plurality of scores calculated in the calculation step as an input to the large language model 131 (step S11, advice generation step). The control unit 11 moves the process to step S12.

[0079] The advice generation step preferably includes a procedure of referring to various data related to the measurement object stored in the storage unit 13. Thereby, the measurement device 1 can realize the generation of a personalized diagnosis result or the like according to the measurement object. Therefore, the more the measurement device 1 is used by the measurement object, the more it is improved into a more personalized system.

[0080] [Step S12: Display the result] The control unit 11, in cooperation with the storage unit 13 and the communication unit 14, executes the result display command unit 118. Then, the control unit 11 causes the result display command unit 118 to execute a process of displaying on the terminal T or the like a diagnostic result including a plurality of scores calculated in the calculation step and advice generated in the history-corresponding advice generation step, the field-of-use-corresponding advice generation step, the advice generation step, and the like (step S12, result display command step). The control unit 11 transfers the process to step S13.

[0081] The result display command step preferably includes a procedure for outputting the diagnostic result as a data file. Thereby, the measuring device 1 can provide the diagnostic result as a data file. The form of the data file is not particularly limited, and may be, for example, various document files such as files in PDF (Portable Document Format) format (PDF files), various image files, and the like.

[0082] (Diagnostic result) The diagnostic result is not particularly limited as long as it includes a plurality of scores calculated in the calculation step and advice based on the scores. The diagnostic result displayed in this embodiment includes, in addition to the score of EQ (EQ ability) of the prior art, a score related to the stress level and a score related to competency. Further, the diagnostic result displayed in this embodiment includes advice comprehensively considering the above scores.

[0083] FIG. 5 is an example of the display of the diagnosis result of EQ in the present embodiment. In the display example shown in FIG. 5, on the upper left side, the score "4" related to EQ ability, the score "2" related to competency (normativity), and the score (potential stress tolerance) "4" obtained by comprehensively considering EQ ability and stress level are displayed. Also, in the display example shown in FIG. 5, on the upper right side, the scores of the current stress state as scores related to stress level (depression / anxiety "4", irritability / anger "4", sense of listlessness "4") are displayed. By displaying these scores, the measuring device 1 can provide not only the score related to EQ ability but also the scores related to normativity and stress level as indicators showing the mental tendency of the measurement target.

[0084] Also, in the display example shown in FIG. 5, on the upper middle left side, the details of EQ ability (emotion discrimination "4", emotion utilization "4", emotion understanding "4", emotion regulation "5") are displayed together with the advice ( "Since you have a high ability to grasp your own and others' feelings, predict the changes in emotions, think of appropriate actions on the spot, and switch your own feelings, you are likely to be able to take actions according to the situation.") obtained by comprehensively considering them. Thus, the measuring device 1 provides advice obtained by comprehensively considering a plurality of scores related to EQ so as to convey the mental tendency of the measurement target more clearly than just scores.

[0085] In addition, in the display example shown in FIG. 5, a detailed score group of scores (potential stress tolerance) that comprehensively considers EQ ability and stress level is displayed on the upper right side in the middle row, along with advice that comprehensively considers this score group ( "It seems that you are good at dealing with stress, are strong, and can calmly handle even relatively strong stress without being shaken or lacking calmness. Also, since you have a stress-coping method that suits you and can effectively obtain support from those around you, it is thought that you can solve mild stress by yourself and minimize its impact. However, when work gets busy and there is no more leeway, or when stronger stress is applied, there is concern that its impact will emerge. It is necessary for those around you to pay attention to the workload and intensity of stress at work and ensure that they do not become excessive."). Thereby, the measuring device 1 provides advice that comprehensively considers the scores of the EQ ability and stress level of the measurement target as advice corresponding to the field of use in which it is used as a guideline when having the measurement target perform work.

[0086] In addition, in the display example shown in FIG. 5, a graph is shown on the lower left side, with the comprehensive EQ ability on the vertical axis and normativity (competency) on the horizontal axis. Thereby, the measuring device 1 two-dimensionally shows the composite tendency of EQ ability and normativity.

[0087] When the field-of-use reception step is executed, in the measurement process, it is preferable for the measuring device 1 to execute a series of processes (from step S13 to step S14) for displaying an advertisement based on the field of use of the advice related to EQ. Thereby, the measuring device 1 can display advice according to the measurement result and the field of use, as well as display an advertisement related to the field of use.

[0088] [Step S13: Determine whether to display an advertisement based on the field of use] The control unit 11, in cooperation with the storage unit 13, the communication unit 14, etc., executes a process of determining whether to perform an advertisement display based on the field of use of the advice related to EQ (step S13, first advertisement display determination step). If it is determined to perform, the control unit 11 moves the process to step S14. If it is determined not to perform, the control unit 11 moves the process to step S15.

[0089] [Step S14: Display an advertisement based on the field of use] The control unit 11, in cooperation with the storage unit 13 and the communication unit 14, executes the first advertisement acquisition unit 119. Then, the control unit 11 acquires, from the advertisement table 132, the advertisement data (first advertisement data) based on the field of use received in the field of use reception step by the first advertisement acquisition unit 119, and executes a process of causing the advertisement to be displayed on the terminal T or the like (step S14, first advertisement acquisition step). The control unit 11 moves the process to step S15.

[0090] In the measurement process, it is preferable that the measuring device 1 executes a series of processes (from step S15 to step S16) for displaying an advertisement based on the measurement result of EQ. Thereby, the measuring device 1 can display an advertisement suitable for the measurement target having a mental tendency as indicated by the measurement result based on the measurement result of EQ.

[0091] [Step S15: Determine whether to perform an advertisement display based on the score] The control unit 11, in cooperation with the storage unit 13, the communication unit 14, etc., executes a process of determining whether to perform an advertisement display based on the score of EQ (step S15, second advertisement display determination step). If it is determined to perform, the control unit 11 moves the process to step S16. If it is determined not to perform, the control unit 11 returns the process to step S1 and repeats steps S1 to S16.

[0092] [Step S16: Display an advertisement based on the score] The control unit 11 executes the second advertisement acquisition unit 120 in cooperation with the storage unit 13 and the communication unit 14. Then, the control unit 11 causes the second advertisement acquisition unit 120 to acquire advertisement data (second advertisement data) that matches the mental tendency indicated by the plurality of scores received in the calculation step from the advertisement table 132, and executes a process of displaying the advertisement on the terminal T or the like (step S16, second advertisement acquisition step). The control unit 11 returns the process to step S1 and repeats steps S1 to S16.

[0093] By displaying an advertisement in the first advertisement acquisition step and / or the second advertisement acquisition step, the management device 1 enables an operation model in which a measurement fee is not collected from the measurement target. Thereby, the management device 1 can enable more measurement targets to perform measurements.

[0094] [Display of personalized advertisement] In the first advertisement acquisition step and / or the second advertisement acquisition step, it is preferable that the measurement device 1 includes a procedure for referring to various data related to the measurement target stored in the storage unit 13. Thereby, the measurement device 1 can display an advertisement targeted according to the various data related to the measurement target. Specifically, the measurement device 1 refers to, for example, both the field of use or score and the various data, and acquires advertisement data that matches both.

[0095] [Training management step] In the measurement process, it is preferable that the measuring device 1 executes a process (training management step) for managing training based on the measurement results and diagnostic results of EQ. The training management step includes a procedure for causing the terminal T or the like to display a training method according to the mental ability that the measurement target wants to improve, based on the measurement results and diagnostic results of EQ displayed in the above-described result display command step, and after a certain period, a procedure for sending a notice proposing the measurement of EQ in the measuring device 1 of the present embodiment to the measurement target that has undergone training. Details of the training method displayed in the training management step will be described later in "Other Utilizations" of the usage example. Thereby, the measuring device 1 can not only simply measure EQ, but also support the implementation of training for improving mental ability based on EQ.

[0096] The training management step preferably includes a procedure for inputting the plurality of scores calculated in the calculation step as inputs to a large language model 131 in which machine learning is performed using learning data including, as explanatory variables, the plurality of scores related to EQ and the score to be improved in the present embodiment, and including, as the objective variable, advice including how to proceed with training based on the plurality of scores and the score to be improved, so as to generate advice including how to proceed with training. Thereby, the measuring device 1 can provide the measurement target with how to proceed with training comprehensively considering the plurality of scores and the score to be improved without causing the administrator or the like of the measuring device 1 to expend the labor of inputting how to proceed with training comprehensively considering the plurality of scores and the score to be improved one by one in advance.

[0097] [Coaching Step] In the measurement process, it is preferable for the measuring device 1 to execute a process (coaching step) of performing coaching / training based on the measurement results and diagnostic results of EQ. The coaching step includes a procedure of generating text for performing coaching / training based on the measurement results and diagnostic results by using a large language model that includes the measurement results and diagnostic results of EQ as inputs. Thereby, the measuring device 1 can perform coaching / training according to the strengths and weaknesses of the diagnostic target revealed by the measurement results and diagnostic results. At this time, it is preferable that the large language model has been pre-trained regarding generating text for performing coaching / training. The pre-training is realized, for example, by pre-training that includes in the learning data the association between the measurement results and diagnostic results and the text for performing coaching / training.

[0098] The coaching step is preferably realized in the form of a conversation with the measurement target. That is, it is preferable for the measuring device 1 to generate text for performing further coaching / training according to the response from the measurement target to the above text. Thereby, the measuring device 1 can perform coaching / training while observing the reaction of the measurement target. Therefore, the measuring device 1 can realize more personalized support. Thus, the measuring device 1 can further enhance the effect of EQ. At this time, it is preferable that the large language model has been pre-trained regarding generating text for performing further coaching / training. The pre-training is realized, for example, by pre-training that includes in the learning data the association between the measurement results and diagnostic results, the text for performing coaching / training, and the response of the measurement target and the text for performing further coaching / training.

[0099] [Matching step] In the measurement process, it is preferable that the measuring device 1 executes a process (matching step) of matching the measurement target with an enterprise or the like based on the measurement result and diagnosis result of EQ. In order to enable the measurement target to be addressed to an enterprise or the like, the matching step preferably includes a procedure for introducing an enterprise or the like to the measurement target based on the measurement result and diagnosis result of EQ. In order to enable an enterprise or the like to recruit the measurement target, the matching step preferably includes a procedure for introducing the measurement target to an enterprise or the like based on the measurement result and diagnosis result of EQ. The matching between the measurement target and an enterprise or the like is realized, for example, by executing a matching unit (not shown), which is a software component that, for a plurality of enterprises or the like, refers to the "EQ tendency of the talents that the enterprises or the like want to employ" stored in the storage unit 13, and discriminates an enterprise or the like in which the score calculated in the calculation step best matches the EQ tendency among these plurality of enterprises or the like. The matching unit may be configured to execute a procedure for introducing the above-mentioned "most-matching enterprise or the like" to the measurement target related to the above score based on the above discrimination result according to an instruction from the terminal T or the like. Further, the matching unit may be configured to execute a procedure for introducing the measurement target related to the above score to the above-mentioned "most-matching enterprise or the like" based on the above discrimination result according to an instruction from the terminal T or the like.

[0100] [Statistical Information Calculation Step] In the measurement process, it is preferable that the measuring device 1 executes a process (statistical information calculation step) of calculating statistical information on the measurement result and diagnosis result of EQ related to measurement targets belonging to the same enterprise or the like. Thereby, the measuring device 1 can support the analysis related to a large number of measurement targets belonging to the same enterprise or the like. From the viewpoint of further supporting the analysis, at this time, it is preferable that the measuring device 1 includes a procedure for generating a graph related to the statistical information. By such analysis being supported, labor staff of an enterprise or the like can easily perform various feedback processes leading to EQ improvement. The "various feedback processes" are, for example, setting of action goals based on the diagnosis result by a consultant, creation of an EQ development plan, and the like.

[0101] [Usage Example] The following is an example of using the measuring device 1.

[0102] 〔Input of advertisement〕 The administrator who manages the measuring device 1 concludes an advertising contract with the advertiser and the EQ measurement site and receives advertisement data. The administrator associates the field of use and the relevant score with the advertisement data. Then, the administrator stores a group of data related to these advertisements in the advertisement table 132.

[0103] 〔Implementation of EQ〕 The measuring device 1 provides questions to the measurement target via the EQ measurement site displayed on the terminal T or the like. The measurement target transmits answers to the questions to the measuring device 1 via the EQ measurement site displayed on the terminal T or the like. Also, the measurement target transmits the field of use related to the EQ advice to the measuring device 1. The measuring device 1 receives the transmitted answers and calculates a plurality of scores including EQ ability, stress level, and normality.

[0104] 〔Display of diagnosis result and advertisement〕 The measuring device 1 causes the terminal T or the like to display, via the EQ measurement site, a diagnosis result including a plurality of scores (measurement results), the field of use, and advice in which these plurality of scores are comprehensively considered. Also, the measuring device 1 acquires an advertisement corresponding to the measurement result and the field of use from the advertisement table 132 and causes the terminal T or the like to display it via the EQ measurement site. Thereby, the measuring device 1 can commercialize the EQ measurement without imposing a financial burden on the measurement target.

[0105] 〔Regarding digging deeper into EQ〕 The measuring device 1 can provide advice with a deeper dig into EQ. The following is an example thereof.

[0106] [In job hunting] The measurement device 1 can provide advice including recommendations for occupations suitable for the measurement target to those who are considering their career paths and have not yet found what they want to do (such as freshmen and sophomores in college), in a manner where the ToBe image the measurement target aims for and the difference between the current As-Is state of the measurement target are expressed in specific numerical values or text. As a result, the measurement device 1 can recognize the ToBe image that the measurement target should aim for as recommended by EQ, and by being able to recognize the difference from the current measurement target, it can provide advice to find a specific path to bring the measurement target closer to the ToBe image.

[0107] Also, the measurement device 1 can provide advice (directional guidance) to make the measurement target self-aware of their own nature to those who are considering their career paths and do not know how to think about job hunting or where to start (such as freshmen and sophomores in college), showing evaluation information about what kind of nature they currently have, and at the same time, displaying it in a manner that references job types and occupations that are considered suitable for such evaluated individuals. As a result, the measurement device 1 can provide advice that serves as a trigger for the measurement target to specifically consider occupations and other career paths (such as academic pursuits) suitable for the measurement target based on the EQ information the measurement target has at that time. Also, in a state where the measurement target has not considered it at all, instead of directly providing information as an answer, it can provide advice that gives clues.

[0108] The measurement device 1 can provide advice that gives recommendations (suggestions) for the work suitable for the measurement target to those who are considering their career paths and do not know the industry, sector, or job type suitable for themselves (such as juniors in college), in a manner where the ToBe image the measurement target aims for and the difference between the current self and the ToBe state are expressed in specific numerical values or text. As a result, the measurement device 1 can recognize the ToBe image that the measurement target should aim for as recommended by EQ, and by being able to recognize the difference from the current measurement target, it can provide advice to find a specific path to bring the measurement target closer to the ToBe image.

[0109] The measuring device 1 is aimed at those who are considering their career paths at the right timing, such as third-year university students (the measurement target), who want to confirm whether the chosen career path suits themselves. It can provide advice on what and how to change to recommend how to become a measurement target that suits the desired career path by evaluating the suitability or unsuitability for the "current measurement target".

[0110] [In personnel recruitment] The measuring device 1 can provide advice including the interview questions for the recruitment interview to those who are in charge of recruitment and are considering the interview questions for the recruitment interview. Thereby, the measuring device 1 can reduce the labor involved in the recruitment interview for the recruitment staff who are considering the interview questions for the recruitment interview. The measuring device 1 can provide advice including the manual plan for recruitment to those who are in charge of recruitment and are considering the manual preparation for recruitment. Thereby, the measuring device 1 can reduce the labor involved in the manual preparation for the recruitment staff.

[0111] The measuring device 1 can provide advice on setting criteria by grasping an individual's characteristics to those who are in charge of recruitment and do not want to recruit those who have made mistakes other than in the skill part and want to identify them. The measuring device 1 can provide advice for grasping a person's image rather than technical elements to those who are in charge of recruitment and want to select the necessary personnel for the current team. The measuring device 1 can provide advice that can quantitatively express the test results and incorporate them into the recruitment process to those who are in charge of recruitment and think that there is a lack of quantitative information that can be used in the recruitment evaluation. The measuring device 1 can provide advice that can be incorporated into the recruitment process to those who are in charge of recruitment and think that it is difficult to select appropriate candidates.

[0112] The measuring device 1 can provide advice to employers who consider it difficult to predict the long-term performance after employment, enabling them to make employment decisions that prioritize EQ, taking advantage of research results indicating that candidates with high EQ are likely to exhibit good long-term performance. The measuring device 1 can provide advice to employers who find it difficult to determine whether a candidate fits the company's culture, based on the idea that candidates with high EQ generally have a high ability to understand others' emotions and adapt to social situations, and thus are likely to fit the company's culture. The measuring device 1 can provide advice to employers who are considering integrating new members into the team, based on the idea that candidates with high EQ have a high ability to build good relationships with others and are thus likely to integrate smoothly into the new team. The measuring device 1 can provide advice to employers who want to make a sure-fire employment decision, enabling them to identify ADHD (Attention Deficit Hyperactivity Disorder) / psychopaths.

[0113] [In labor management] The measuring device 1 can provide advice including the employee questionnaire items related to labor management to employers who are considering such items. This can reduce the workload of the labor management staff who are considering the employee questionnaire items related to labor management. The measuring device 1 can provide advice including the manual plan related to labor management to employers who are considering the manual maintenance related to labor management. This can reduce the workload of the labor management staff related to the manual maintenance.

[0114] The measurement device 1 is in charge of labor management and can provide advice that serves as a trigger for introducing EQ training for users who are labor managers and think it is difficult to maintain employees' motivation, enabling employees to understand their own emotions and improve their ability to respond to the emotions of others. The measurement device 1 is in charge of labor management and can provide advice that enables judgment based on the idea that leaders with high EQ can appropriately manage workplace stress and create an environment for reducing employees' stress for users who are labor managers and think it is difficult to manage workplace stress. The measurement device 1 is in charge of labor management and can provide advice that serves as a trigger for providing EQ training for users who are labor managers and think there is a lack of communication among employees, enabling employees to understand the emotions of others and improve their ability to respond appropriately. The measurement device 1 is in charge of labor management and can provide advice that enables judgment based on the idea that leaders with high EQ can understand the emotions of employees and create an environment for meeting the needs and expectations of individual employees for users who are labor managers and think that employees' job satisfaction is low.

[0115] [In organizational vitality and personnel evaluation] The measurement device 1 is in charge of organizational vitality and personnel evaluation and can provide advice including the question items for employees related to organizational vitality and personnel evaluation for users who are considering the question items for employees related to organizational vitality and personnel evaluation. Thereby, the measurement device 1 can reduce the labor of the person in charge of organizational vitality and personnel evaluation who is considering the question items for employees related to organizational vitality and personnel evaluation. The measurement device 1 is in charge of organizational vitality and personnel evaluation and can provide advice including the manual draft related to organizational vitality and personnel evaluation for users who are considering the manual preparation related to organizational vitality and personnel evaluation. Thereby, the measurement device 1 can reduce the labor related to the manual preparation of the person in charge of organizational vitality and personnel evaluation.

[0116] The measuring device 1 is in charge of organizational activity and personnel evaluation, and can provide advice that gives quantitative information necessary as materials for giving advice to clients for users who are involved in team building. The measuring device 1 is in charge of organizational activity and personnel evaluation, and can provide advice that enables judgments based on the idea of conducting a more comprehensive performance evaluation by including EQ as an evaluation criterion for users who are seeking judgment materials for judging their own teams and can be used even at the division level. The measuring device 1 is in charge of organizational activity and personnel evaluation, and can provide advice that enables judgments based on the idea that leaders with high EQ can understand the feelings of employees and provide appropriate feedback for users who think it is difficult to conduct objective performance evaluations.

[0117] The measuring device 1 is in charge of organizational activity and personnel evaluation, and for users who think it is difficult to effectively provide feedback, includes the growth of EQ as an evaluation criterion in the advice based on the history of multiple scores. It can provide advice that enables judgments based on the idea of evaluating to what extent employees have improved their self-awareness, self-management, social awareness, and relationship management abilities. The measuring device 1 is in charge of organizational activity and personnel evaluation, and for users who think it is difficult to evaluate the growth and development of employees, as advice based on the history of multiple scores, since EQ is strongly related to leadership ability, it can provide advice that enables judgments based on the idea of indirectly evaluating leadership ability by evaluating the EQ of employees. In addition, the measuring device 1 can provide advice including leadership evaluation for users who think it is difficult to evaluate the leadership ability of employees.

[0118] [In a personnel placement agency] The measuring device 1 can provide advice that can give quantitative judgment materials for users who are in charge of applicants who need quantitative judgment materials when listening to Tobe from clients and giving advice.

[0119] [In marriage counseling] The measurement device 1 can provide advice to users such as those considering marriage and those who give advice to such people, and can give advice that can provide quantitative judgment materials regarding marriage, such as whether the user is compatible with the partner they are considering marriage with and whether they should proceed with the marriage.

[0120] 〔Utilization in EQ training, etc.〕 The measurement device 1 can provide diagnostic results that can be utilized in training, coaching, seminars, teaming, and other aspects related to EQ. The following is an example of utilization.

[0121] [Utilization in recruitment] (Problem 1: It is difficult to select appropriate candidates) There may be utilization such as incorporating questions for evaluating EQ into interviews and introducing psychological tests for measuring EQ into the recruitment process.

[0122] (Problem 2: It is difficult to predict the long-term performance of candidates) There may be utilization such as conducting recruitment that emphasizes EQ by utilizing the research result that candidates with high EQ are likely to exhibit good long-term performance.

[0123] (Problem 3: It is difficult to determine whether candidates fit the company's culture) There may be utilization in evaluating candidates from the perspective that candidates with high EQ generally have a high ability to understand the feelings of others and adapt to social situations, and thus are likely to fit the company's culture.

[0124] (Problem 4: It is difficult to integrate new members into the team) There may be utilization in evaluating candidates from the perspective that candidates with high EQ have a high ability to build good relationships with others and thus are likely to smoothly integrate into a new team.

[0125] [Utilization in labor management] (Problem 1: It is difficult to maintain employees' motivation) There may be applications such as introducing EQ training to improve employees' ability to understand their own emotions and respond to the emotions of others, and providing training for the leadership team to understand and appropriately respond to employees' emotions.

[0126] (Issue 2: Difficult to manage workplace stress) There may be applications such as high-EQ leaders appropriately managing workplace stress and creating an environment to reduce employees' stress.

[0127] (Issue 3: Lack of communication among employees) There may be applications such as providing EQ training to improve employees' ability to understand the emotions of others and respond appropriately.

[0128] (Issue 4: Low job satisfaction among employees) There may be applications such as high-EQ leaders understanding employees' emotions and creating an environment to meet the needs and expectations of individual employees.

[0129] [Applications in (personnel) evaluations] (Issue 1: Difficult to conduct objective performance evaluations) There may be applications such as including EQ as an evaluation criterion to conduct a more comprehensive performance evaluation, and using the research result that employees with high EQ are likely to demonstrate good performance in the long term to conduct an evaluation that emphasizes EQ.

[0130] (Issue 2: Difficult to provide effective feedback) There may be applications such as high-EQ leaders understanding employees' emotions and providing appropriate feedback.

[0131] (Issue 3: Difficult to evaluate employees' growth and development) Include the growth of EQ as an evaluation criterion. There may be applications such as evaluating to what extent employees have improved their abilities in self-awareness, self-management, social awareness, and relationship management.

[0132] (Problem 4: Difficulty in Evaluating Employees' Leadership Skills) Since EQ is strongly related to leadership skills, there may be a use case for indirectly evaluating leadership skills by evaluating employees' EQ.

[0133] In the scope of the idea of the present invention, those skilled in the art can conceive of various modification examples and correction examples. Therefore, it is understood that those modification examples and correction examples belong to the scope of the present invention. For example, with respect to the above-described embodiments, those obtained by appropriately adding, deleting, or changing the design of components by those skilled in the art, or those obtained by adding, omitting, or changing conditions of processes, are also included in the scope of the present invention as long as they have the gist of the present invention.

Explanation of Reference Numerals

[0134] S System 1 Measuring Device 11 Control Unit 111 Machine Learning Unit 112 Inquiry Display Instruction Unit 113 Answer Reception Unit 114 Calculation Unit 115 Field of Use Reception Unit 116 History Acquisition Unit 117 Advice Generation Unit 118 Result Display Instruction Unit 119 First Advertisement Acquisition Unit 120 Second Advertisement Acquisition Unit 13 Storage Unit 131 Large Language Model 132 Advertisement Table 14 Communication Unit N Network T Terminal

Claims

1. A question display command unit for displaying questions related to the measurement of the Emotional Intelligence Quotient (EQ); An answer reception unit for receiving answers to the questions from the measurement target; A calculation unit for calculating a plurality of scores related to the EQ based on the answer; A machine learning unit for machine learning to generate the advice based on the score, using learning data with the score as an explanatory variable and the advice to the measurement target related to the score as a target variable for a large language model; An advice generation unit for causing the large language model to generate advice to the measurement target based on the plurality of scores; A result display command unit for displaying the score and the advice; comprising: The calculation unit calculates a plurality of scores further including a stress level indicating the degree of mental stress and a normativity indicating a tendency to follow rules as scores of the EQ. An apparatus for measuring EQ (Emotional Intelligence Quotient).

2. further comprising a history acquisition unit for acquiring a history of the scores; The advice generation unit causes the large language model to generate advice to the measurement target based on the history of the plurality of scores. The measuring apparatus according to claim 1.

3. A usage field reception unit for receiving the usage field of the advice; A first advertisement acquisition unit for acquiring advertisement data (first advertisement data) related to the usage field based on the usage field; further comprising: The advice generation unit causes the large language model to generate advice to the measurement target based on the usage field and the plurality of scores; The result display command unit further displays the first advertisement data in addition to the score and the advice. The measuring apparatus according to claim 1.

4. The apparatus further includes a second advertisement acquisition unit that acquires advertisement data (second advertisement data) that matches the mental tendency indicated by the score based on the score. The result display instruction unit further causes the second advertisement data to be displayed in addition to the score and the advice. The measuring apparatus according to claim 1.

5. The measuring apparatus according to claim 1, further comprising a matching unit that refers to the EQ tendencies of the human resources that a plurality of companies and the like want to employ, and discriminates a company or the like among the plurality of companies and the like in which the score and the EQ tendency best match.

Images