Information processing method, program, and information processing device

Abstract

It will be possible to obtain appropriate information from employees in daily operations. [Solution] An information processing method in which an information processing device provides conversational AI processing, in which users belonging to an organization interact with AI in a dialogue format, to user terminals used by the users, acquires conversation data about the users through conversations using the conversational AI processing, performs personality analysis based on the conversation data, including at least one of a personality aptitude diagnosis, a character diagnosis, and an emotional intelligence (EQ) diagnosis, and outputs the results of the personality analysis.

Description

[Technical field]

[0001] The disclosed technology relates to an information processing method, a program, and an information processing device. [Background technology]

[0002] Conventionally, there is known an interview support system that uses a trained model to reduce the human and time burden in job interviews and efficiently acquire the talented personnel that need to be recruited (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2023-31089 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, in conventional human resources systems, the amount and quality of input information is important in AI processing, but this aspect has not been considered, and most of the considerations have been from the perspective of how to efficiently analyze and consider the input information. In addition, there are still issues regarding how to extract information from employees during daily work.

[0005] Therefore, one of the objectives of the disclosed technology is to provide an information processing method, a program, and an information processing device that are capable of appropriately acquiring information from employees, etc. through daily conversations. [Means for solving the problem]

[0006] In one embodiment of the disclosed information processing method, an information processing device provides conversational AI processing to a user terminal used by a user belonging to an organization, in which the user terminal interacts with an AI in a dialogue format; acquires conversation data about the user through a conversation using the conversational AI processing; performs a personality analysis based on the conversation data, including at least one of a personality aptitude diagnosis, a character diagnosis, and an emotional intelligence (EQ) diagnosis; and outputs the results of the personality analysis. Effect of the Invention

[0007] The disclosed technology makes it possible to appropriately obtain information from employees and others through daily conversations. [Brief description of the drawings]

[0008] [Figure 1] A diagram showing each process and each purpose related to HR operations in the disclosed technology. [Diagram 2] 1 is a diagram illustrating an example of a configuration of an information processing system 1 according to an embodiment. [Diagram 3] FIG. 2 is a block diagram illustrating an example of a server according to an embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of employee information according to an embodiment. [Diagram 5] FIG. 2 is a diagram illustrating an example of employee-related information according to an embodiment. [Figure 6] FIG. 2 illustrates an example of a processing apparatus according to an embodiment. [Figure 7] 11 is a flowchart illustrating an example of a business report process according to an embodiment. [Figure 8] FIG. 11 is a flowchart illustrating an example of a process after acquiring conversation data according to an embodiment. [Figure 9] FIG. 4 is a flowchart illustrating an example of a process of each functional module according to an embodiment. [Figure 10] FIG. 2 is a diagram showing an example of an execution screen of a conversational AI according to one embodiment. [Figure 11] FIG. 1 is a diagram illustrating a concept of a business report between a subordinate and a superior according to an embodiment. [Figure 12] FIG. 1 is a diagram illustrating a concept of a business report to a manager according to an embodiment. [Figure 13] FIG. 13 illustrates an example of an employee dashboard screen according to an embodiment. [Figure 14] FIG. 11 is a diagram showing an example of a result of a personality diagnosis according to an embodiment. [Figure 15] FIG. 13 illustrates an example of a management dashboard screen according to an embodiment. [Figure 16] FIG. 1 is a diagram showing an example of a cycle of business visualization, growth support, and engagement enhancement according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Preferred embodiments of the present disclosure will now be described with reference to the accompanying drawings, in which the same reference numerals denote the same or similar configurations.

[0010] [Embodiment] Figure 1 is a diagram showing each process and each purpose related to HR (Human Resources) work in the disclosed technology. The example shown in Figure 1 describes a mechanism for using conversational AI (Artificial Intelligence) processing to collect conversation data from employees and managers (hereinafter also referred to as "employees, etc.") and to utilize the collected conversation data to realize a healthy organization.

[0011] The disclosed technology uses conversational AI as a communication tool. Conversational AI achieves more effective communication through natural interactions between humans and AI. This enables smooth communication through dialogue with AI, going beyond conventional keyboard and mouse operations.

[0012] In traditional person-to-person interviews, both parties are burdened and the quality of the interviews varies. For example, management has issues with at least one of the following: The amount of time required for interviews is burdensome, it is difficult to get the truth out, the work is tedious, emotional fluctuations are a concern, opinions are subjective, and / or there are concerns about harassment, etc. On the other hand, face-to-face interviews pose challenges for regular employees in at least one of the following areas: -Loss of motivation, lack of satisfaction, communication gaps, disregard for process, time spent with superiors, and / or concerns about harassment, etc.

[0013] In response to the above issues, the use of conversational AI is expected to improve communication on both sides. For example, on the management side, there will be improvements in at least one of the following areas: - Efficiency of labor hours, visualization of true feelings, automation of information, no emotional inconsistency, no worries about being accused of harassment, and / or respect for autonomy, etc. On the other hand, for regular employees, there will be improvements in at least one of the following areas: Increased motivation, dialogue at any time, a sense of satisfaction, no communication gap, understanding of the process, and / or no harassment, etc.

[0014] In summary, the use of conversational AI makes it possible to have fair and honest dialogue and to make objective evaluations based on data, thereby reducing stress for both parties.

[0015] As shown in Figure 1, the disclosed technology not only enables organizations to utilize data obtained through natural conversations with conversational AI, but also allows the AI ​​to grow into one that understands itself by talking to it and learning and analyzing the conversation data, making it easier to talk to, and enabling organizations to obtain even more valuable data.

[0016] For example, for employees (example of users), having a conversation with a conversational AI makes it possible to visualize information that is usually difficult to see from daily conversations. In addition, the disclosed technology makes it possible to diagnose the personality of employees based on the conversation data of employees acquired using conversational AI. This makes it possible to visualize one's own personality, deepen self-understanding by objectively grasping the current situation, and realize self-growth by eliminating areas for improvement through advice from the conversational AI.

[0017] In addition, organizations (management, an example of users) can utilize the multiple functions (modules) described below to visualize, standardize, and / or score their own organizational capabilities based on the analysis of each employee, and use this information for organizational development. This enables the organization to grasp issues or risks and to grasp its organizational capabilities.

[0018] In addition, the disclosed technology may implement an evaluation module that objectively evaluates employees, etc., a recruitment module that conducts job interviews with candidates, a guidance module that provides various guidance to employees, etc., a confirmation module that confirms inquiries from employees, etc., and / or a consultation module that listens to employees' consultations, based on conversation data of each user belonging to the organization acquired by conversational AI processing and separately acquired internal company data, etc. In addition, by analyzing information obtained from the conversation data, it is possible to analyze the emotions and personality of each employee from the conversation and ultimately determine organizational strength. The disclosed technology realizes a healthy organization by providing self-understanding and growth support to employees and daily care for business improvement and organizational development on the management side. The system configuration of the above-mentioned disclosed technology is described below.

[0019] <System configuration> Fig. 2 is a diagram showing an example of the configuration of an information processing system 1 according to an embodiment of the disclosure. As shown in Fig. 1, the information processing system 1 includes servers 10A and 10B, and processing devices 20A, 20B, and 20C of one or more users (employee committee members, etc.). Hereinafter, when the servers are not individually distinguished, they will be referred to as server 10, and when the processing devices are not distinguished, they will be referred to as processing devices 20. For example, the information processing system 1 according to the embodiment constitutes a system that provides support for realizing human capital management based on conversation data acquired using conversational AI, etc.

[0020] The server 10 and the processing device 20 can transmit and receive data to and from each other via a network N. The server 10 may be composed of multiple processing devices, and the number of processing devices 20 may be any number. For example, the processing device 20 is an information processing device used when each employee (each user) belonging to an organization (e.g., a company, etc.) that provides the service in the disclosed technology uses a conversational AI.

[0021] The information processing system 1 may be implemented with the above-mentioned evaluation module, recruitment module, guidance module, confirmation module, and / or consultation module based on employee conversation data acquired through conversational AI and separately acquired internal company data. By improving the job satisfaction of employees and the like using each of these modules, it is possible to realize human capital management. Furthermore, a business report module may be implemented in the information processing system 1. Next, the server 10 and the processing device 20 provided in the information processing system 1 will be described.

[0022] For example, the server 10A cooperates with the server 10B that executes AI processing such as generation AI, acquires conversation data from employees (users) of a company using conversational AI, analyzes the data, and supports the company's labor and personnel management. Note that the server 10B may be implemented within the server 10A.

[0023] The server 10A obtains more natural conversation data from the processing device 20 used by each user such as a manager, administrator, employee, etc., at a time of the user's choice by providing a conversational AI processing service. The server 10A also provides each user with the services of each functional module described later.

[0024] The processing device 20 is a processing device such as a personal computer, a tablet terminal, or a smartphone used by each user in an organization. The processing device 20 is denoted by the symbol A when it is shown as a processing device used by general employees in the organization, by the symbol B when it is shown as a processing device for a manager (supervisor, etc.) in the organization, and by the symbol C when it is shown as a processing device used by a manager in the organization.

[0025] The processing device 20A performs a personality diagnosis on the server 10A using conversational AI processing in response to an operation from a general employee. The processing device 20A acquires the results of the personality diagnosis, which are evaluated based on the conversation data acquired by the conversational AI processing, from the server 10A. The processing device 20A can also use each module described below. If a business report module is implemented, the processing device 20A may perform a business report on the server 10A using conversational AI processing in response to an operation from a general employee.

[0026] The processing device 20B used by the manager can also acquire and display the contents of the personality diagnosis of the subordinate from the server 10A, or use each module described later, in response to the operation of the manager. The processing device 20C used by the executive can also acquire and display the contents of the personality diagnosis of the subordinate from the server 10A, or use each module described later, in response to the operation of the executive. When the business report module is implemented, the processing device 20B used by the manager can acquire and display the contents of the business report of the subordinate from the server 10A, in response to the operation of the manager, and the processing device 20C used by the executive can acquire and display the contents of the business report of the subordinate from the server 10A, in response to the operation of the executive.

[0027] Furthermore, the processing device 20 used by the user may use a web browser to access a website (or a web page) provided by the server 10A and receive the labor and personnel management services provided on this website.

[0028] Furthermore, an application program (app) for using the present service provided by the server 10A may be installed in the processing device 20 used by the user. This app causes the processing device 20 to execute at least a part of the processing related to the labor and personnel operations disclosed in the embodiments described below in the service provided by the server 10A. By executing this app, the processing device 20 accesses the server 10A and transmits and receives information used to execute the app. Below, each component of the information processing system 1 that enables the execution of the service related to the disclosed technology will be described in detail.

[0029] <Server configuration> 3 is a block diagram showing an example of a server 10 according to an embodiment of the disclosure. The server 10 includes one or more processors (e.g., CPUs) 110, one or more network communication interfaces 120, a storage device (storage unit) 130, and one or more communication buses 170 for interconnecting these components. Hereinafter, the servers 10A and 10B will be collectively described as the server 10, but depending on the implementation situation, the servers 10A and 10B may be configured separately, or a part of the configuration of the server 10 may be configured as a separate server.

[0030] The server 10 may optionally include a user interface 150, which may include a display and an input device (such as a keyboard and / or a mouse or some other pointing device).

[0031] The storage device 130 is, for example, a high-speed random access memory (main storage device) such as a DRAM, an SRAM, or other random access solid-state storage device. The storage device 130 may also be a non-volatile memory (secondary storage device) such as one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or other non-volatile solid-state storage devices. The storage device 130 may also be a non-transitory computer-readable recording medium that stores programs and the like including instructions for a computer. The storage device 130 may also be either a main storage device (memory) or a secondary storage device (storage), or may include both.

[0032] The storage device 130 stores data, programs, etc. used by the information processing system 1. For example, the storage device 130 stores employee-related information such as employee information of each employee belonging to an organization, conversation data, emotion data, analysis data, personality data, report data, and office data of each employee. The employee information and employee-related information will be described later with reference to Figs. 4 and 5.

[0033] As another example, storage device 130 may be one or more storage devices located remotely from processor 110. In one embodiment, storage device 130 stores programs, modules and data structures, or a subset thereof, that are executed by processor 110.

[0034] The processor 110 executes the programs stored in the storage device 130 to configure, for example, a service providing unit 111, a conversation control unit 112, an acquisition unit 113, a generation unit 114, an output unit 115, an analysis unit 116, and a function unit 117.

[0035] The service providing unit 111 provides each service related to the labor and personnel management business disclosed in the embodiment. The service providing unit 111 controls the process of acquiring requests related to the labor and personnel management business, such as requests to use each functional module described later, from each processing device 20, and registering and managing information on each employee. If a business report module is implemented, the service providing unit 111 may further perform a process of acquiring a business report request described later. In addition, the service providing unit 111 has the service providing unit 111, a conversation control unit 112, an acquisition unit 113, a generation unit 114, an output unit 115, an analysis unit 116, and a function unit 117 in order to control the execution of the services disclosed in the embodiment. Each process that the service providing unit 111 can provide will be described below.

[0036] ≪Business report≫ In the disclosed technology, the conversation data acquired for personality diagnosis may be acquired through daily conversations using conversational AI processing, or may be acquired together with conversations related to business reports for business reports. First, the processing of the business reports will be described below. The conversation control unit 112 provides conversational AI processing to a user terminal used by a user (such as an employee in an organization). For example, the conversation control unit 112 provides conversational AI processing to the user in response to a user operation on the user terminal, and realizes a conversation with the user.

[0037] The conversation control unit 112 may realize a natural conversation by using a generation AI and an avatar AI. For example, the generation AI uses a large language model (LLM) that functions as a language generation AI to carry out conversation, question answering, motivation, consensus building, hearing, and the like. The avatar AI can generate a more human-like appearance by using the generation AI, and realize more human-like movements by using the motion AI. Thus, the conversation control unit 112 enables an AI avatar that is capable of free conversation to respond in a more human-like manner.

[0038] The acquisition unit 113 acquires conversation data related to the user's business report through a conversation related to the business report by conversational AI processing. For example, the acquisition unit 113 acquires live conversation data from the daily business report in a natural conversation through conversational AI processing by a business report module requested by an employee.

[0039] The generating unit 114 generates business report data of the user based on the conversation data of the user acquired by the acquiring unit 113. For example, the generating unit 114 uses AI processing to aggregate and analyze the conversation data based on the conversation data including daily work content and progress of the work, and generates business report data. The business report data may be generated in a format in which questions posed by conversational AI processing and their answers are converted into text and entered into each item of a business report template, or the business report data may be generated by a generating AI using words extracted from the conversation data.

[0040] Work reports are made at appropriate times (for example, daily), so the input information can be processed in real time. This allows managers to quickly understand what employees are currently doing and where the problems lie. It is said that conversational AI can convey about five times more information per hour than text communication. Furthermore, since it contains a wealth of non-verbal information, it can be said to be superior in terms of both the quality and quantity of information. As employees use conversational AI to make work reports, they find it easier to communicate worries and problems that would be difficult to communicate in a face-to-face interview.

[0041] The output unit 115 outputs the business report data generated by the generation unit 114 to an administrator terminal used by the administrator of the user. For example, the output unit 115 outputs the business report data generated by the AI ​​processing to the processing device 20B used by the administrator. There are various methods for outputting, and for example, the output unit 115 may output using a notification function by the labor and personnel service of the disclosed technology, or may report using the above-mentioned conversational AI processing when a business report request is acquired from a manager or a business owner (also referred to as "manager, etc."). In addition, the output unit 115 may output report data in which the generation unit 114 has compiled business report data of multiple subordinates under the management of the same manager, to the processing device 20B used by the manager.

[0042] As described above, by using conversational AI processing to make business reports, it becomes possible to obtain appropriate information from employees in daily work. In addition, by using conversational AI processing for business reports that employees must make on a daily basis, it is possible to expect an increase in the amount of information provided through conversation without placing a burden on employees. Furthermore, since business report data is generated by users having conversations about business reports, work efficiency is improved.

[0043] In addition, the use of conversational AI processing can bring about the following benefits: Skill Development The learning effect of the user's conversation skills, emotional processing, memory, etc. is improved. Improve interpersonal relationships Users will not feel embarrassed if they mistake the other person for an AI, which will increase their opportunities for conversation. ·engagement There is no harassment from superiors or others, and it is possible to have honest conversations.

[0044] The analysis unit 116 analyzes the user's conversation data and extracts issues related to the user or the organization to which the user belongs. For example, the analysis unit 116 identifies dissatisfied users and the contents of their dissatisfaction from the conversation data reported in real time, analyzes the reason for a decline in engagement within the organization, analyzes the cause of a high number of resignations, and analyzes the reason for a decline in sales.

[0045] As an example, the analysis unit 116 may input conversation data acquired from each user and a prompt for extracting an organizational issue to the generation AI, and extract the output result as an issue. In addition, regarding the extraction of an issue, the analysis unit 116 may make a list of specific keywords, etc., and when a word of the conversation data corresponding to the specific keyword, etc. is extracted, the analysis unit 116 may extract the issue corresponding to the extracted word and the user who made the utterance.

[0046] The output unit 115 may output the tasks extracted by the analysis unit 116 to an administrator terminal used by the administrator. The output unit 115 outputs task data generated by, for example, AI processing to the processing device 20B used by the administrator. There are various methods for outputting, but for example, as described above, the output unit 115 may output using a notification function by the labor and personnel service of the disclosed technology, or may report using the above-mentioned conversational AI processing when a task report request is acquired from the administrator or the like.

[0047] Through the above processing, the disclosed technology can extract issues of users and organizations from conversation data, allowing managers to quickly grasp these issues, consider responses, and implement measures. In addition, the disclosed technology makes it possible to objectively analyze and evaluate conversation data by using an analysis and evaluation AI that performs morphological analysis.

[0048] The generating unit 114 includes collecting the business report data of each user acquired by the acquiring unit 113. The generating unit 114 may include extracting specific report contents that satisfy a predetermined criterion based on each collected business report data. For example, the generating unit 114 determines whether or not a predetermined criterion regarding the extraction of a user's task is satisfied. The predetermined criterion includes, for example, determining whether or not there is conversation data of the content spoken by the user after the conversational AI asks a question about the task, extracting a task by the generating AI, and determining that the similarity of a specific word related to the task is higher than a threshold value.

[0049] The generating unit 114 generates business report data by making the extracted specific report content selectable by an administrator or the like. The specific report content includes, for example, an issue and a user who has the issue. When reporting business report data of a plurality of users, the generating unit 114 makes user A who has an issue selectable so that the administrator can understand the issue of the user. The generating unit 114 may make it possible to identify that the business report data of user A who has an issue has an issue, among the business report data of a plurality of users. For example, the generating unit 114 may add an issue mark when the business report data is displayed, or may add an audio message that user A has an issue when the business report data is output by audio.

[0050] Through the above process, the manager or the like can select from among the business reports of multiple users those that contain specific report content, and can efficiently grasp the report content. For example, if the specific report content is an issue, the issue that the user has can be identified, and the current issue can be easily grasped. The specific report content may also be at least one of the following: the user's health condition, the organization's performance, dissatisfaction, improvement measures, etc. Each of these items can be identified by replacing the "issue" in the above-mentioned predetermined criteria with any of the items.

[0051] The output unit 115 may include a function of reporting the business report data generated by the generation unit 114 to a manager or the like using the conversational AI processing described above. When the output unit 115 processes the business report, the acquisition unit 113 can acquire conversational data from the manager or the like by using the conversational AI processing. In addition, it becomes possible to report the business report data of each user to a busy manager or the like by voice, which increases the amount of information on the listener's side.

[0052] When reporting business report data, the acquisition unit 113 may acquire conversation data from the manager or the like using conversational AI processing provided by the conversation control unit 112. For example, when reporting business to the manager or the like, the acquisition unit 113 acquires conversation data uttered by the manager or the like. For example, the conversation control unit 112 makes each user's business report via the output unit 115 in response to the voice of a business report request from the manager or the like acquired by the acquisition unit 113. In addition, the acquisition unit 113 may acquire conversation data from the manager or the like while outputting the business report under the control of the conversation control unit 112, and have the analysis unit 116 analyze the conversation data from the manager or the like. The analysis unit 116 may analyze the corporate culture of the organization based on daily remarks from the manager or the like.

[0053] Through the above process, managers can use conversational AI to check the contents of work reports. Even busy managers can understand their subordinates' work reports and issues by voice during their free time, such as while traveling. In addition, corporate culture can be analyzed by analyzing conversation data from managers.

[0054] <Personality Diagnosis> The analysis unit 116 performs personality analysis including at least one of personality aptitude diagnosis, character diagnosis, and emotional intelligence (EQ) diagnosis based on the conversation data. The analysis unit 116 can record a history of the conversation data, for example, by using conversational AI processing.

[0055] (Personality Aptitude Test) The analysis unit 116 diagnoses adaptability to work and the work environment based on the conversation data history as a personality aptitude diagnosis. The analysis unit 116 diagnoses diagnostic items such as leadership, problem-solving ability, adaptability, communication ability, teamwork ability, and self-management based on the conversation data history.

[0056] The conversation control unit 112 may inquire the user of questions corresponding to each diagnostic item of the personality aptitude diagnosis at a predetermined timing within a predetermined period (e.g., 30 days). The predetermined timing may be, for example, when the use of the present service is started, when the use of the conversational AI is started, or at a predetermined time. In the conversational AI processing, when daily conversation data and conversation data related to the business report are acquired together, the conversation control unit 112 may insert questions corresponding to each diagnostic item of the personality aptitude diagnosis into questions of the business report and inquire of the user. For example, the conversation control unit 112 may inquire the user of questions of each diagnostic item of the personality aptitude diagnosis separately within a predetermined period (e.g., 30 days), and the analysis unit 116 may perform the personality aptitude diagnosis according to the content of the user's answer to the question of each diagnostic item. This allows the user to perform the personality aptitude diagnosis while submitting the business report. In addition, the analysis unit 116 may input the conversation data of the user at the time of submitting the business report to an existing diagnosis engine to diagnose each of the above diagnostic items. The analysis unit 116 may input the conversation data of each user to a trained model that has learned the relationship between the conversation data at the time of the business report and each of the above-mentioned diagnostic items to obtain the results of each diagnostic item. The personality aptitude diagnosis result can be effectively used for the user's career planning.

[0057] (Personality test) The analysis unit 116 diagnoses characteristics for understanding inner characteristics based on the history of conversation data as a personality diagnosis. The analysis unit 116 diagnoses characteristics for understanding inner characteristics based on the Big Five personality traits (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism), self-efficacy, locus of control, tenacity (GRIT), values, time perspective, social skills, self-control, conscientiousness, self-esteem, mindset, optimism / pessimism, learning style, creativity, moral judgment, and resilience. At least one of the following may be diagnosed:

[0058] For example, the service providing unit 111 may ask questions for each diagnostic item for personality diagnosis at the time of user registration, and perform personality diagnosis based on the user's answers to these questions. For example, the Big Five can be diagnosed by having the user answer the following questions on a six-point scale from 1 (not at all applicable) to 6 (very applicable) (https: / / oshio.kinsta.cloud / scales / ). - Making things clear and black and white will help things go well I think everyone is divided into "winners" and "losers." -I want to clarify what is safe and what is dangerous. -Clear boundaries make things clearer Every problem has a right and wrong answer I want to clarify what information is useful to me and what is not.

[0059] Also, the conversation control unit 112 may inquire the user at a predetermined timing about questions corresponding to each diagnostic item of the personality diagnosis, for example, within a predetermined period (for example, 30 days). In the conversational AI processing, when daily conversation data and conversation data related to business reports are acquired together, the conversation control unit 112 may insert questions corresponding to each diagnostic item of the personality diagnosis into questions of the business report and inquire of the user. For example, the conversation control unit 112 may inquire the user about questions of each diagnostic item of the personality diagnosis separately within a predetermined period (for example, 30 days), and the analysis unit 116 may update the personality diagnosis according to the content of the user's answer to the question of each diagnostic item. According to this, the user can perform a personality diagnosis while submitting a business report. The personality diagnosis may be updated at predetermined intervals. This is because personality does not change easily, and therefore, for example, daily updates are not necessary. Also, the analysis unit 116 may input conversation data of the user at the time of business reports to an existing personality diagnosis engine to diagnose each of the above diagnostic items. The analysis unit 116 may input the conversation data of each user to a trained model that has learned the relationship between the conversation data during the business report and each of the above-mentioned diagnostic items to obtain the results of each diagnostic item. The personality diagnosis results can be effectively used to improve self-understanding and interpersonal relationships.

[0060] (EQ diagnosis) The analysis unit 116 performs EQ diagnosis by diagnosing each diagnostic item focusing on emotion management and interpersonal skills based on the conversation data history. The analysis unit 116 may diagnose at least one of self-awareness, social awareness, motivation, self-management, interpersonal skills, and empathy.

[0061] The conversation control unit 112 may, for example, within a predetermined period (e.g., 30 days), ask the user questions corresponding to each diagnostic item of the EQ diagnosis at a predetermined timing. In the conversational AI processing, when daily conversation data and conversation data related to the business report are acquired together, the conversation control unit 112 may insert questions corresponding to each diagnostic item of the EQ diagnosis into questions in the business report and ask the user. For example, the conversation control unit 112 may ask the user questions for each diagnostic item of the EQ diagnosis separately within a predetermined period (e.g., 30 days), and the analysis unit 116 may perform the EQ diagnosis based on the user's answers to the questions for each diagnostic item. This allows the user to perform the EQ diagnosis after submitting the business report.

[0062] The analysis unit 116 may input the conversation data of the user to an existing EQ diagnosis engine to diagnose each of the above diagnostic items. The analysis unit 116 may input the conversation data of each user to a trained model that has learned the relationship between the conversation data at the time of business reporting and each of the above diagnostic items to obtain the results of each diagnostic item. The EQ diagnosis results can be effectively used to solve emotional problems. For EQ diagnosis, refer to Patent Publication No. 7487986 by the same applicant.

[0063] Through the above process, the user can deepen their self-understanding and realize their daily growth through daily dialogue with the conversational AI. In addition, the analysis unit 116 can display the analysis results on the dashboard screen of the user's terminal, making it possible to do the following: -AI can analyze and display today's sentiment. - You can check the diagnostic indicators that are updated daily. -AI that understands itself can provide appropriate advice.

[0064] The conversation control unit 112 may change the content of the conversation by the conversational AI according to the diagnosed personality. For example, the conversation control unit 112 inputs at least one of the personality aptitude diagnosis, the character diagnosis, and the EQ diagnosis to the generation AI used by the conversational AI. Specifically, the conversation control unit 112 may include an instruction to generate conversation data taking into account the diagnosed personality diagnosis result of the user in the prompt of the generation AI used by the conversational AI processing when generating a conversation in the conversational AI processing. The analysis unit 116 may construct an AI that generates the user's personality using the evaluated personality diagnosis result.

[0065] Through the above process, it becomes possible to customize the content of conversations for each individual user in the conversational AI processing that users use on a daily basis. As a result, the more each user uses the service of the disclosed technology, the easier it will be to converse with the conversational AI. It is also possible to generate a personality for each user using the personality diagnosis results.

[0066] ≪Facial expression analysis≫ The acquisition unit 113 acquires facial expression data during a conversation of a user in conversational AI processing. The acquisition unit 113 acquires facial expression data using the camera function of the processing device 20 of the user.

[0067] The analysis unit 116 analyzes the acquired facial expression data and quantifies the emotion. The analysis unit 116 may understand the meaning of facial expressions, posture, hand movements, and the like through the camera and infer the emotion. For example, an AI that analyzes emotions from facial expressions is already known, and the analysis unit 116 may acquire emotion data (happiness, sadness, surprise, anger, and the like) using this known technology, an AI that performs emotion recognition. The analysis unit 116 may also grasp the user's psychological state from the analyzed user's emotion data.

[0068] Through the above processing, it becomes possible to analyze the user's facial expressions when using conversational AI and inform the user of their emotions. It is also possible to visualize the user's emotions in real time.

[0069] <Internal data integration> The acquisition unit 113 acquires internal company data including data set in the calendar function used by the user, data entered via the chat function, and / or document data including rule data, labor management data, or employee data managed by the organization to which the user belongs.

[0070] For example, the acquisition unit 113 acquires the user's schedule data set in a calendar function used by the user, or acquires the user's text data entered using a chat tool. The schedule data is used to select candidate dates for events (meetings, interviews, etc.). The text data of the chat function may be used for the personality diagnosis described above. The acquisition unit 113 may acquire document data including rule data, labor management data, or employee data managed by the organization to which the user belongs from an in-house database.

[0071] The conversation control unit 112 may include having the conversational AI process converse based on the acquired in-house data. For example, the conversation control unit 112 may import in-house data into the generation AI or learning model used in the conversational AI process to have the AI ​​or learning model converse about available dates and times based on schedule data, report the results of personality diagnosis based on text data entered into the chat function, or the contents of a business report if one has been created, or converse about the contents of guidance or confirmation regarding business operations, which will be described later, based on in-house document data.

[0072] By importing data used within the company through the above process, it becomes possible to solve business-related issues using conversational AI processing. For example, conversational AI processing can be used to provide users with assistance with schedule adjustments, supplementing personality diagnostic data, supplementing data on work content, and answering questions and confirmations regarding other personnel and labor-related matters.

[0073] The service providing unit 111 may include storing the conversation data of each user, the business report data and / or the in-house data acquired together with the conversation data in the storage device (an example of a storage device) 130. The functional unit 117 may further execute AI processing corresponding to a predetermined function based on each conversation data and / or each business report data and / or the in-house data stored in the storage device 130. The predetermined function is, for example, a function that supports work related to labor and personnel. The functional unit 117 may acquire and process necessary data depending on the content of the function.

[0074] Through the above processing, it becomes possible to support labor and personnel-related tasks in addition to personality diagnosis and business reports, using not only conversation data obtained from users, but also schedule data used within the organization, data entered through the chat function, and document data stored in the organization's database.

[0075] <Evaluation module> When the predetermined function includes an evaluation function, the functional unit 117 may include performing AI processing to set goals for the work of a predetermined user or to evaluate the work of a predetermined user based on the conversation data, each work report data, and / or in-house data stored in the storage device 130. For example, the evaluation module of the functional unit 117 performs goal setting and evaluation interviews on behalf of each user using AI processing.

[0076] As a specific example, the function unit 117 sets an evaluation index and visualizes the results and the performance of the user based on the business report data. For example, the function unit 117 learns in advance the user's conversation data or business report data and the association with the user's past evaluations, and acquires the user's evaluation data from the conversation data or business report data.

[0077] By performing the above process to evaluate users, administrators and the like can place the right people in the right positions, thereby improving the accuracy of utilization of the disclosed technology.

[0078] <Recruitment Module> When the predetermined function includes a hiring function, the function unit 117 may include performing AI processing to ask questions to the hiring candidate based on the conversation data stored in the storage device 130, the company data, and / or the personality diagnosis result obtained based on the conversation data by the conversation type AI processing. For example, the function unit 117 uses the generation AI to act on behalf of the personnel department to ask questions to the candidate undergoing the hiring interview. As a specific example, the function unit 117 causes the generation AI to start a conversation by including in the prompt a question to be asked as an interviewer of the personnel department. The function unit 117 causes the next question to be asked based on the user's conversation data. In addition, the function unit 117 includes in the prompt a question to be asked by pretending to be the interviewer using the personality diagnosis result of the personnel department interviewer and employee data.

[0079] By carrying out the above process, managers and others can use AI to interview job candidates, thereby streamlining operations rather than conducting time-consuming recruitment interviews.

[0080] Furthermore, the function unit 117 may control to acquire conversation data of the candidate using the above-mentioned recruitment function, and diagnose the candidate's personality based on the conversation data of the candidate. For example, in response to an instruction from the function unit 117, the conversation control unit 112 uses conversational AI processing to insert questions for each diagnostic item for diagnosing the above-mentioned personality when asking questions about recruitment. The analysis unit 116 acquires answers to the diagnostic items from the conversation data of the candidate, and diagnoses the candidate's personality. The function unit 117 may include the results of the personality diagnosis of the candidate by the analysis unit 116 in the interview results of the candidate. The interview results may be output to a terminal of a person in the human resources department, etc.

[0081] <Guide module> When the predetermined function includes a guidance function, the function unit 117 may include performing AI processing to provide an entry guide or a response to a labor inquiry based on the in-house data stored in the storage device 130. For example, the function unit 117 imports in-house document data containing an entry guide or in-house document data containing labor management rules and the like into the LLM, and then specifies the in-house document data and inputs a prompt for a manager or the like to respond to a question into the generation AI.

[0082] Through the above process, managers and others can have AI handle the time-consuming process of providing guidance and answering inquiries, thereby streamlining operations.

[0083] <Confirmation module> When the predetermined function includes a confirmation function, the functional unit 117 may include performing AI processing to confirm the work history or the reason for leaving based on the in-house data stored in the storage device 130. For example, the functional unit 117 imports employee data into the LLM, and when a question such as confirmation of the work history or reason for leaving of a predetermined user is acquired, the functional unit 117 uses the generation AI to answer the question.

[0084] With the above process, managers and others can have AI handle the time-consuming process of checking employment history and answering questions about reasons for leaving, thereby streamlining operations.

[0085] Consultation module When the predetermined function includes a consultation function, the functional unit 117 may include performing AI processing to receive mental health or career consultation from each user based on the conversation data stored in the storage device 130, the in-house data, and / or the personality diagnosis results obtained based on the conversation data by conversational AI processing. For example, the functional unit 117 inputs an instruction to the generation AI to answer by including the personality and consultation content of the user of the client in the prompt, and obtains the answer.

[0086] Through the above processing, things that would normally be difficult to say become easier to say when speaking to an AI; furthermore, by utilizing conversational AI processing, even users with poor linguistic expression skills can be assisted in conversation.

[0087] As described above, the disclosed technology can appropriately combine a conversational AI, an emotion AI, an analysis and evaluation AI, and a personality generation AI as necessary to accumulate conversation data, emotion data, analysis data, and / or personality data. The disclosed technology can use these data to build an information infrastructure for an organization. In addition, it is also possible to switch from the above-mentioned conversation format to a chat format as a conversational AI without using an avatar AI, depending on the needs of the corresponding environment. This allows users to make reports according to the usage scene and working style.

[0088] <Examples of each data> Next, examples of each data stored in the storage device 130 of the server 10 will be described with reference to Fig. 4 and Fig. 5. Fig. 4 is a diagram showing an example of employee information according to an embodiment. Fig. 5 is a diagram showing an example of employee-related information according to an embodiment.

[0089] The employee information shown in FIG. 4 includes various data / information such as employee ID, name, contact information, address, department, employment type, etc. The employee ID includes the employee ID of the employee (general employee, manager, owner) who uses the system of the present disclosure, the name includes the user's name information, and the contact information includes information such as a telephone number, email address, and SNS account. The address includes the employee's address, and the department includes the department to which the employee belongs. The employment type includes the employee's employment type. Note that information such as date of birth, position, evaluation, skills, and marital status may also be included in the employee information.

[0090] The employee-related information shown in FIG. 5 includes each data / information such as an employee ID, conversation data, emotion data, analysis data, personality data, report data, and office data. The employee ID shows the same example as the employee ID in the employee information shown in FIG. 4. The conversation data is conversation data acquired by conversational AI processing, and the history may be stored. The emotion data includes emotion data obtained by analyzing emotions from conversation data and / or facial expression data. The analysis data includes issues analyzed based on the conversation data. The personality data includes data indicating the characteristics of the user's personality formed based on accumulated conversation data and personality diagnosis results. In the conversational AI processing, when conversation data related to a business report is acquired together with the conversation data, the report data includes business report data generated from the user's conversation data at the time of the business report. The office data is internal data including data set in the calendar function used by the user, data entered by the chat function, and / or document data including rule data, labor management data, or employee data managed by the organization to which the user belongs.

[0091] <Processing device configuration> FIG. 6 is a diagram showing an example of a processing device 20 according to an embodiment of the disclosure. For example, the processing device 20 is a device used by employees (including managers) of an organization. The processing device 20 includes one or more processors (e.g., CPUs) 210, one or more network communication interfaces 220, a storage device (storage unit) 230, a user interface 250, and one or more communication buses 270 for interconnecting these components. Hereinafter, when the processing device 20 indicates a processing device used by employees, each component is given the symbol A, when the processing device 20 indicates a processing device used by managers, each component is given the symbol B, and when the processing device 20 indicates a processing device used by managers, each component is given the symbol C.

[0092] The user interface 250 includes a display 251 and an input device 252 (such as a keyboard and / or a mouse, or some other pointing device).

[0093] The storage device 230 may be, for example, a high-speed random access memory (primary storage device) such as a DRAM, an SRAM, or other random access solid-state storage device. The storage device 230 may also be a non-volatile memory (secondary storage device) such as one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or other non-volatile solid-state storage devices. The storage device 230 may also be a non-transitory computer-readable recording medium. The storage device 230 may be either a primary storage device (memory) or a secondary storage device (storage), or may include both.

[0094] The storage device 230 stores data and programs used by the information processing system 1. For example, the storage device 230 stores application programs for the processing device 20 in the information processing system 1.

[0095] The processor 210 executes a program stored in the storage device 230 to configure a service processing unit 211. The service processing unit 211 includes, for example, a web browser and an email application. The web browser enables browsing of web pages provided by the server 10. Furthermore, by executing an installed application for the user terminal, it becomes possible to browse web pages on which the above-mentioned services are provided. The service processing unit 211 has a communication control unit 212, a display control unit 213, and an operation control unit 214 in order to receive the services provided.

[0096] The communication control unit 212 acquires each screen information indicating various screens related to the disclosed technology transmitted from the server 10. For example, the communication control unit 212A of the processing device 20A used by an employee acquires each screen information such as a business report screen using conversational AI processing ("business report screen" refers to a case where business report data is acquired together with conversation data in conversational AI processing and a business report is output. The same applies below.), a screen of each functional module available to general employees, and each evaluation screen of general employees. Also, the communication control unit 212B of the processing device 20B used by the manager acquires each screen information such as a management screen that receives business reports from general employees and a screen of each functional module available to the manager. Also, the communication control unit 212C of the processing device 20C used by the manager acquires each screen information such as a management screen that receives business reports from employees and a screen of each functional module available to the manager. The communication control unit 212 outputs to the server 10 information selected and set using each screen, a predetermined request, work information related to the present service, and the like.

[0097] The display control unit 213 controls the display 251 to display a screen related to the present service based on each screen information acquired by the communication control unit 212. For example, the display control unit 213A of the processing device 20A used by an employee controls the display of each screen information such as a business report screen using conversational AI processing, a screen of each functional module available to general employees, and each evaluation screen of general employees. The display control unit 213B of the processing device 20B used by the manager controls the display of each screen information such as a management screen for receiving business reports from general employees and a screen of each functional module available to the manager. The display control unit 213C of the processing device 20C used by the manager controls the display of each screen information such as a management screen for receiving business reports from employees and a screen of each functional module available to the manager.

[0098] The operation control unit 214 accepts user operations on UI parts displayed on each screen, and transmits operation information to an application of the processing device 20 or outputs the operation information to the server 10. For example, the operation control unit 214 outputs each piece of labor-related information selected, set, or input by an employee, a manager, or a proprietor to the server 10.

[0099] The communication control unit 212 transmits each piece of operation information received by the operation control unit 214 to the server 10 via the network communication interface 220 .

[0100] Through the above processing, the processing device 20 used by an employee, manager, or owner can acquire, analyze, and evaluate conversation data from a user using conversational AI processing by performing processing in cooperation with the server 10. Also, as described above, by using conversational AI processing, a user can answer questions or make reports in a relaxed manner in an environment where it is easy to talk at their own timing.

[0101] <Operation description> Next, each operation of the information processing system 1 will be described. FIG. 7 is a flowchart showing an example of a business report process according to an embodiment in which business report data is generated and output together with conversation data in conversational AI processing. The example shown in FIG. 7 is a processing example when the server 10 receives a business report from a user using conversational AI processing. Note that a dialogue regarding the business report by the conversational AI is not essential.

[0102] In step S102, the conversation control unit 112 of the server 10 provides conversational AI processing to the user terminal used by the user. For example, the conversational AI processing enables a more natural conversation to be held using a generation AI and an avatar AI.

[0103] In step S104, the acquisition unit 113 of the server 10 acquires conversation data related to the user's business report through a conversation related to the business report by conversational AI processing. For example, the acquisition unit 113 acquires live conversation data from the daily business report in a natural conversation through conversational AI processing by a business report module requested by an employee.

[0104] In step S106, the generation unit 114 of the server 10 generates business report data of the user based on the user's conversation data acquired by the acquisition unit 113. For example, the generation unit 114 uses AI processing to aggregate and analyze the conversation data based on the conversation data including daily business content and business progress, and generates business report data.

[0105] In step S108, the output unit 115 of the server 10 outputs the business report data generated by the generation unit 114 to an administrator terminal used by the administrator of the user. For example, the output unit 115 outputs the business report data generated by the AI ​​processing to the processing device 20B used by the administrator.

[0106] Through the above process, conversational AI processing makes it possible to obtain appropriate information from employees in daily work. In addition, by using conversational AI processing for the work reports that employees must submit daily, it is possible to expect an increase in the amount of information provided through conversation without placing a burden on employees. Furthermore, work efficiency is improved because work report data is generated by users having conversations about work reports.

[0107] 8 is a flow chart illustrating an example of a process after acquiring conversation data according to an embodiment of the present invention. The example illustrated in FIG. 8 is an example of an analysis process of the server 10.

[0108] In step S202, the analysis unit 116 analyzes the acquired conversation data or facial expression data and quantifies the emotion. For example, the analysis unit 116 may understand the meaning of facial expressions, posture, hand movements, etc. through a camera and infer the emotion. The analysis unit 116 may read the intention and emotion of the conversation from the content of the conversation, tone of voice, speed, and emphasis based on natural language processing of the conversation data and analysis of the voice data.

[0109] In step S204, the analysis unit 116 performs analysis and evaluation based on the conversation data. The analysis and evaluation includes, for example, personality diagnosis and extraction of issues.

[0110] In step S206, the analysis unit 116 performs personality analysis of each user. For example, the analysis unit 116 forms a personality of the user based on the personality diagnosis result. For example, when the number of times of an item that is equal to or greater than a predetermined value is equal to or greater than a threshold value among the items evaluated in the personality diagnosis result, the user has the characteristics of item A, and the characteristics of item A may represent the personality of the user. Note that at least one of the processes in steps S202 to S206 may be executed.

[0111] As described above, the disclosed technology can appropriately combine the conversational AI, emotion AI, analysis and evaluation AI, and personality generation AI as necessary to accumulate conversation data, emotion data, analysis data, and / or personality data. The disclosed technology can use this data to build an information infrastructure for an organization.

[0112] 9 is a flow chart illustrating an example of the process of each functional module according to an embodiment of the present invention. In the example illustrated in FIG 9, the user selects each process, and the server 10 executes each process.

[0113] In step 302, the service providing unit 111 of the server 10 determines whether or not a trigger related to the service has occurred. For example, if the user (manager) operation indicates an evaluation process, the process proceeds to step S304; if the user (manager) operation indicates a hiring process, the process proceeds to step S306; if the user (manager) operation indicates a guidance process, the process proceeds to step S308; if the user (manager) operation indicates a confirmation process, the process proceeds to step S310; and if the user (general employee) operation indicates a consultation process, the process proceeds to step S312.

[0114] In step S304, the function unit 117 of the server 10 performs AI processing to set goals for the work of a specific user or evaluate the work of a specific user based on each work report data and in-house data stored in the storage device 130. For example, the evaluation module of the function unit 117 performs goal setting and evaluation interviews on behalf of each user using AI processing.

[0115] In step S306, the function unit 117 may include performing AI processing to ask questions to the employment candidate based on the conversation data stored in the storage device 130, the in-house data, and / or the personality diagnosis results obtained based on the conversation data by the conversation type AI processing. For example, the function unit 117 uses a generation AI to act on behalf of the personnel department in asking questions to the candidate undergoing a job interview.

[0116] In step S308, the function unit 117 may include performing AI processing to provide an answer to the joining guide or labor inquiries based on the in-house data stored in the storage device 130. For example, the function unit 117 imports in-house document data containing an joining guide or in-house document data containing labor management rules, etc., into the LLM, and specifies the in-house document data, and inputs a prompt for the manager or owner to answer the question to the generation AI.

[0117] In step S310, the function unit 117 may include performing AI processing to confirm the work history or the reason for leaving based on the in-house data stored in the storage device 130. For example, the function unit 117 imports employee data into the LLM, and when a question such as confirmation of the work history or reason for leaving of a specific user is acquired, the function unit 117 uses the generation AI to answer the question.

[0118] In step S312, the function unit 117 may perform AI processing to receive mental health or career consultation from each user based on the conversation data stored in the storage device 130, the in-house data, and / or the personality diagnosis results obtained based on the conversation data by conversational AI processing. For example, the function unit 117 inputs an instruction to the generation AI to answer by including the personality and consultation content of the user of the client in the prompt, and obtains the answer.

[0119] Through the above process, conversational AI processing can be used to support each labor-related task, making complicated tasks more efficient. Furthermore, by using conversational AI processing to automatically generate task reports, the efficiency of tasks can be further improved.

[0120] <Screen example> Next, an example of each screen displayed in the information processing system 1 will be described. FIG. 10 is a diagram showing an example of a conversational AI execution screen according to an embodiment for generating business report data together with conversation data in conversational AI processing. Screen D2 shown in FIG. 10 shows an example of a screen for starting a conversational AI avatar and hearing business report contents from a user in order to generate a daily report as a business report. The conversational AI avatar also hears the contents necessary to execute a personality diagnosis along with the business report contents. Note that, when there is no need to obtain business report data, only the contents necessary to execute a personality diagnosis may be heard.

[0121] As shown in Figure 10, the user can input the contents of the business report by interacting with the avatar, eliminating the need for tedious text input. As mentioned above, the personality generation AI allows the avatar to become an avatar that understands the user, making it easier for the user to talk and discuss issues.

[0122] FIG. 11 is a diagram showing the concept of a work report between a subordinate and a superior according to an embodiment. On screen D4 shown in FIG. 11, Yamada of the sales department uses a conversational AI to make a work report, and the server 10 automatically generates work report data. Similarly, work report data for each employee of the sales department is generated. In addition, the example shown in FIG. 11 shows an example in which Taniguchi of the sales department receives a work report from a subordinate using a conversational AI. As shown in FIG. 11, the AI ​​in the disclosed technology shares main information on the site.

[0123] Mr. Taniguchi, the manager in charge, can select employees in the sales department who have issues and receive work reports from those employees. Employees who have issues can be extracted by the analysis unit 116 analyzing the conversation data.

[0124] Fig. 12 is a diagram showing the concept of a business report to a manager according to an embodiment. In the screen D6 shown in Fig. 12, the manager asks the conversational AI about the progress status of each department. At this time, the conversational AI reports the business report data of each employee aggregated by the generation unit 114 to the manager. This makes it possible to aggregate the situation on the site on the day in a conversational manner and report it to the manager or manager.

[0125] FIG. 13 is a diagram showing an example of an employee dashboard screen according to an embodiment. According to the screen D8 shown in FIG. 13, there is a business report area and a personality diagnosis area. For example, in the business report area, when a user operates the business report area, a conversational AI process as shown in FIG. 10 is executed, and the user can make a business report in an interactive format. In addition, when a user operates the personality diagnosis area shown in FIG. 13, a personality diagnosis result screen shown in FIG. 14 may be displayed.

[0126] FIG. 14 is a diagram showing an example of a result of a personality diagnosis according to an embodiment. In the screen D10 shown in FIG. 14, three diagnosis results, EQ diagnosis, personality aptitude diagnosis, and character diagnosis, may be displayed. In the example shown in FIG. 14, each item is listed for each diagnosis, but a diagram such as a radar chart may be used to allow each user to easily understand which evaluation value is high. The user can keep a history of changes in the diagnosis results so far, and can deepen self-understanding through daily dialogue with the conversational AI and realize daily growth.

[0127] Fig. 15 is a diagram showing an example of a management dashboard screen according to an embodiment. The screen D12 shown in Fig. 15 includes an area for receiving work reports from subordinates, and an area for grasping issues and the like that displays issues analyzed by the analysis unit 116. In the work report area, it is possible to listen to work reports from each employee through conversation, as shown in Fig. 11 or 12, or to receive work reports summarized by department.

[0128] The screen for grasping the issues displays the issues extracted by the analysis unit 116. In addition, the manager's dashboard may display the average value of the employees' predetermined scores for each day using a calendar function. The predetermined score may be, for example, a score related to engagement, a score related to health care, or a score related to the extracted issues. In addition, the analysis unit 116 may calculate an organization score indicating the state of the organization that can be calculated from conversation data from employees. The organization score may be calculated by quantifying each item of motivation, communication, engagement, emotions, opinions / ideas, feedback, job satisfaction, problem-finding ability, career growth, stress level, information availability, and work balance, and substituting each numerical value into a predetermined function. The numerical value of each item may be calculated based on the number of utterances corresponding to each item from the conversation data of each employee, and for example, a conversational AI may be used to periodically ask questions about motivation, and the numerical value of motivation may be calculated based on the answers to the questions.

[0129] As described above, according to the disclosed technology, a mechanism for smooth organization is provided by using conversational AI to care for employees on a daily basis. FIG. 16 is a diagram showing an example of a cycle of work visualization, growth support, and engagement enhancement according to one embodiment. According to the example shown in FIG. 16, employees can deepen their self-understanding by grasping the personality diagnosis results, and can further visualize their growth by strengthening improvement points. Furthermore, if the above-mentioned conversational AI is used to make daily work reports, employees can easily make work reports. Furthermore, the analysis unit 116 uses the above-mentioned AI processing to collect and analyze the work and mental state of each employee. This makes it possible to grasp the work, analyze the individual situation, and collect and organize issues. Furthermore, the executives and managers can grasp the analysis results by the analysis unit 116 using the above-mentioned dashboard, etc. For example, the executives and managers can grasp the work content and individual situation analyzed by the analysis unit 116, and respond to issues. In addition, in response to issues, the AI ​​processing by the analysis unit 116 grasps and suggests improvement points, thereby supporting business improvement and organizational development. For example, the analysis unit 116 can obtain improvement points by inputting the content of the issue and a prompt asking about improvement points for the issue to the generation AI. By suggesting these improvement points to employees, the employees can put the improvement points into practice and feel their growth. By going through the cycle described above, employees can deepen their self-understanding by grasping the results of personality diagnosis, visualize their growth by strengthening the improvement points, and further realize their growth within the organization through daily work reports, thereby improving engagement.

[0130] The above-mentioned embodiment is an example for explaining the disclosed technology, and is not intended to limit the disclosed technology to only the embodiment, and the disclosed technology can be modified in various ways without departing from the gist of the technology. In addition, the processes on the server side and the user's processing device side may be appropriately integrated, or the processes may be transferred to the other device, or the processes may be transferred to a different device.

[0131] <Modification> In addition to the above embodiment, the following modified examples are also included in the scope of the disclosed technology. In the modified example, specific conversation data among the conversation data acquired from each employee by executing the above-mentioned conversational AI processing may be output to an external linked system. For example, the server 10 links with an external sales support system (SFA: Sales Force Automation) via API (Application Interface Programming) and outputs conversation data related to sales to the SFA.

[0132] For example, for conversation data related to sales, the conversation control unit 112 sets the conversation data to ask a question related to sales at a predetermined timing when executing conversational AI processing to have a dialogue with an employee, and the acquisition unit 113 stores the conversation data after the question related to sales in a database in association with the sales identification information. This allows the service provision unit 111 to easily extract and output the conversation data associated with the sales identification information when providing the sales data to the SFA.

[0133] The server 10 may cooperate with a system supporting a specific task, such as a customer relationship management system (CRM), a management accounting system, or a sales management system, as an external system to be linked with the SFA. In this case, the conversation control unit 112 may execute a conversational AI process to include a question about the specific task in each question to the employee, and the acquisition unit 113 may store the conversation data after the question about the specific task in the database in association with the specific task identification information. This allows the service providing unit 111 to easily extract and output the conversation data associated with the specific task identification information when providing the conversation data to the specific task support system. The number of specific tasks is not limited to one, and may be set according to the number of tasks of the external support system to be linked with.

[0134] Furthermore, the analysis unit 116 may extract conversation data related to a specific task from the conversation data of employees based on one or more keywords related to the specific task, without asking questions related to the specific task. As described above, the identified conversation data related to the specific task may be output to an external specific task support system via an API.

[0135] As described above, according to the modified example, it is possible to extract necessary conversation data from more natural conversation data of employees by executing conversational AI processing, and output the extracted conversation data to a specific external system. As a result, it is possible to effectively utilize the conversation data, and also to contribute to increasing profits by selling the conversation data. [Explanation of symbols]

[0136] 1...information processing system, 10...server, 20...processing device, 110...processor, 130...storage device, 111...service providing unit, 112...conversation control unit, 113...acquisition unit, 114...generation unit, 115...output unit, 116...analysis unit, 117...functional unit, 210...processor, 211...service processing unit, 212...communication control unit, 213...display control unit, 214...operation control unit, 230...storage device, 251...display

Claims

1. An information processing device, Acquire internal company data, including document data including regulation data, labor management data, or employee data managed by the organization to which the user belongs; Providing a conversational AI process for performing a conversation with an AI based on the in-house data on a user terminal used by the user belonging to the organization; acquiring conversation data about the user through a conversation by the conversational AI processing; Conducting a personality analysis based on the conversation data, the personality analysis including at least one of a personality aptitude test, a character test, and an emotional intelligence (EQ) test; Carrying out processing related to HR (Human Resources) operations of the organization based on the results of the personality analysis; An information processing method for performing the above.

2. The information processing device, The information processing method according to claim 1 , further comprising changing the content of the conversation by the conversational AI processing depending on the diagnosed personality.

3. The obtaining includes: acquiring facial expression data of the user during the conversation; The analyzing step comprises: The information processing method according to claim 1 , further comprising: analyzing an emotion of the user from the facial expression data.

4. The information processing method according to claim 1 , wherein the in-house data further includes data set in a calendar function used by the user and data input through a chat function.

5. The information processing device, storing the conversation data and the in-house data of each user in a storage unit; The information processing method according to claim 4 , further comprising: performing AI processing corresponding to a predetermined function based on each conversation data and / or the in-house data stored in the memory unit.

6. The AI ​​processing is 6. The information processing method according to claim 5, further comprising, when the specified function includes an evaluation function, performing AI processing to set goals for a specified user's work or evaluate the specified user's work based on each of the conversation data and the in-house data.

7. The AI ​​processing is The information processing method according to claim 5, further comprising, when the predetermined function includes a hiring function, performing AI processing to ask questions to the hiring candidate based on each of the conversation data and the in-house data.

8. The AI ​​processing is The information processing method according to claim 5, further comprising, when the predetermined function includes a guidance function, performing AI processing to provide an employment guidance or a response to a labor inquiry based on the in-house data.

9. The AI ​​processing is The information processing method according to claim 5 , further comprising, when the predetermined function includes a confirmation function, performing AI processing to confirm employment history or reasons for leaving based on the in-house data.

10. The AI ​​processing is The information processing method according to claim 5 , further comprising, when the predetermined function includes a consultation function, performing AI processing to request mental health or career consultation from each user based on the in-house data.

11. Providing the conversational AI processing includes: Asking the user questions related to a specific task, including each question; The acquiring of the conversation data includes: The information processing method according to claim 1 , further comprising: associating information for identifying the specific task with conversation data of the user in response to a question about the specific task.

12. The analyzing step comprises:

2. The information processing method according to claim 1, further comprising: extracting conversation data relating to the specific business from the conversation data based on a keyword relating to the specific business.

13. The information processing device, The information processing method according to claim 11 or 12, further comprising: outputting the conversation data relating to the specific task to an external system that supports the specific task.

14. Conducting said analysis comprises:

8. The information processing method according to claim 7, further comprising: performing a personality analysis including at least one of a personality aptitude test, a character test, and an emotional intelligence (EQ) test based on the conversation data of the employment candidate.

15. In the information processing device, Acquire internal company data, including document data including regulation data, labor management data, or employee data managed by the organization to which the user belongs; Providing a conversational AI process for performing a conversation with an AI based on the in-house data on a user terminal used by the user belonging to the organization; acquiring conversation data about the user through a conversation by the conversational AI processing; Conducting a personality analysis based on the conversation data, the personality analysis including at least one of a personality aptitude diagnosis, a character diagnosis, and an emotional intelligence (EQ) diagnosis; Carrying out processing related to HR (Human Resources) operations of the organization based on the results of the personality analysis; A program that executes the following.

16. An information processing device having a processor, The processor, Acquire internal company data, including document data including regulation data, labor management data, or employee data managed by the organization to which the user belongs; Providing a conversational AI process for performing a conversation with an AI based on the in-house data on a user terminal used by the user belonging to the organization; acquiring conversation data about the user through a conversation by the conversational AI processing; Conducting a personality analysis based on the conversation data, the personality analysis including at least one of a personality aptitude test, a character test, and an emotional intelligence (EQ) test; Carrying out processing related to HR (Human Resources) operations of the organization based on the results of the personality analysis; An information processing device that executes the above.

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