Information processing method, program, and information processing device

Abstract

This will enable the system to appropriately obtain information from employees and others in daily operations. [Solution] An information processing method wherein the information processing device meets the user terminal used by the user. To provide conversational AI processing, and through conversations about business reports using conversational AI processing, To obtain conversation data related to the user's business reports, and based on the conversation data, to analyze the user's business The process involves generating business report data and distributing this data to the administrator terminal used by the user's administrator. The command to output to [the specified location] is executed.

Description

Technical Field

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

Background Art

[0002] Conventionally, by using a learned model, it is possible to reduce the human and time burdens in employment interviews and efficiently acquire talented personnel to be hired. An interview support system is known (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the prior art of personnel systems, in AI processing, the quantity and quality of input information are important, but this aspect has not been studied, and most of the studies have been conducted from the perspective of how to efficiently analyze and examine the input information. Also, there are still problems regarding how to extract information from employees and the like in daily operations.

[0005] Therefore, one of the objectives of the disclosed technology is to provide an information processing method, a program, and an information processing apparatus that can appropriately acquire information from employees and the like in daily operations.

Means for Solving the Problems

[0006] ​One aspect of the disclosure is an information processing method in which the information processing device is a user terminal used by the user. To provide conversational AI processing, and through conversations regarding business reports using conversational AI processing , obtain conversation data related to the user's work report, and based on the conversation data, the user To generate business report data, and to allow the user's administrator to use the business report data. The command to output to the terminal is executed. [Effects of the Invention]

[0007] According to disclosure technology, it is possible to appropriately obtain information from employees, etc., in the course of daily operations. It becomes Noh. [Brief explanation of the drawing]

[0008] [Figure 1] This diagram shows the various processes and objectives related to HR operations in disclosure technology. [Figure 2] This figure shows an example of the configuration of an information processing system 1 according to one embodiment. [Figure 3] Block diagram showing an example of a server according to one embodiment. [Figure 4] This figure shows an example of employee information according to one embodiment. [Figure 5] This figure shows an example of employee-related information according to one embodiment. [Figure 6] This figure shows an example of a processing apparatus according to one embodiment. [Figure 7] A flowchart illustrating an example of business reporting processing according to one embodiment. [Figure 8] A flowchart illustrating an example of processing after acquiring conversation data according to one embodiment. [Figure 9] A flowchart illustrating an example of the processing of each functional module according to one embodiment. [Figure 10] This figure shows an example of the execution screen of a conversational AI according to one embodiment. [Figure 11]It is a diagram showing the concept of business reports from subordinates to superiors according to an embodiment. [Figure 12] It is a diagram showing the concept of business reports to managers according to an embodiment. [Figure 13] It is a diagram showing an example of an employee dashboard screen according to an embodiment. [Figure 14] It is a diagram showing an example of the results of personality diagnosis according to an embodiment. [Figure 15] It is a diagram showing an example of a management-side dashboard screen according to an embodiment. [Figure 16] It is a diagram showing an example of a cycle of business visualization, growth support, and engagement enhancement according to an embodiment.

Mode for Carrying Out the Invention

[0009] Referring to the accompanying drawings, preferred embodiments of the present disclosure will be described. In each figure those with the same reference numerals have the same or similar configurations.

[0010] [Embodiment] FIG. 1 shows each process and each purpose related to HR (Human Resources) business in the disclosed technology It is a diagram. In the example shown in FIG. 1, using conversational AI processing, data is collected from employees and managers (hereinafter also referred to as "employees, etc."), and a mechanism for realizing a sound organization by utilizing the collected data is described.

[0011] In the mechanism in the disclosed technology, a conversational AI is used as a communication tool Conversational AI realizes more effective communication through natural interactions between people This enables smooth communication through dialogue with AI beyond the operations using conventional keyboards, mice, etc.

[0012] ​​In traditional person-to-person interviews, both parties are burdened, resulting in inconsistent interview quality. For example, management faces challenges in at least one of the following areas: • The interview process is time-consuming, it's difficult to elicit honest opinions, the work is tedious, emotional fluctuations are a concern, subjectivity This may result in a biased opinion, and / or concerns about harassment, etc. On the other hand, in face-to-face interviews, general employees face challenges in at least one of the following areas. be. • Decreased motivation, decreased sense of satisfaction, communication gaps, disregard for the process, Concerns about the burden of time spent with superiors and / or harassment, etc.

[0013] To address the above challenges, communication between both parties can be improved by using conversational AI. It can be expected that the following will occur. For example, from the management side, at least the following will be expected. There is improvement in one of the following areas. • Improved efficiency in man-hours, visibility of true feelings, automation of information, no emotional fluctuations, and no harassment No need to worry about being rejected, and / or respect for autonomy, etc. On the other hand, on the general employee side, there has been improvement in at least one of the following areas: • Increased motivation, dialogue at your preferred time, a sense of satisfaction, communication gap No pranks, understanding of the process, and / or no harassment, etc.

[0014] In summary, by using conversational AI, fair and honest dialogue becomes possible. This enables objective evaluation based on data, which can reduce stress for both parties. ru.

[0015] As shown in Figure 1, the disclosure technology generates data from daily work reports through natural conversations with a conversational AI. In addition to utilizing incoming data within the organization, we also learn and analyze conversational data by talking to AI. This allows the AI ​​to develop a better understanding of itself, improves its ability to communicate, and further enhances its ability to collect valuable data. It can be obtained. Also, in disclosure technology, daily business reports are a necessary task, Focusing on this, by utilizing AI in business reporting, we can extract necessary data from daily tasks. This allows for improved accuracy in data analysis.

[0016] For example, for an employee (one example of a user), using conversational AI to access employee work report data... It becomes possible to generate data and visualize information that is usually difficult to see from daily conversations. Furthermore, the disclosure technology uses conversational AI to acquire employee conversation data, and then discloses information to employees. It is possible to perform a personality assessment. This allows you to understand your own personality. By visualizing and objectively understanding the current situation, one can deepen their self-understanding and receive advice from conversational AI. By eliminating areas for improvement through methods such as vice-correction, it becomes possible to experience personal growth.

[0017] Furthermore, for an organization (e.g., management or users), there are several functions (modules) which will be described later. By utilizing (a tool), we visualize, standardize, and / or point out the organizational strength of our company based on the analysis of individual employees. This allows for quantification and utilization in organizational development. This enables organizations to identify challenges or risks. It becomes possible to understand individual circumstances and assess organizational strength.

[0018] Furthermore, the disclosure technology uses conversation data from each user obtained during business reporting to inform employees Evaluation modules that objectively evaluate such as, recruitment modules that conduct candidate interviews, etc. An information module that provides various information to staff, etc., and a confirmation module that checks inquiries from staff, etc. A consultation module may be implemented to listen to employee concerns. By analyzing the information obtained from the data, we can analyze the emotions and personalities of each employee from their conversations. Ultimately, this makes it possible to pursue organizational strength. Disclosure technology supports self-understanding and growth on the part of employees. By doing so and by taking daily care to ensure that management implements business improvements and organizational development, a healthy organization can be created. To realize weaving. The system configuration in the disclosed technology described above is explained below.

[0019] <System Configuration> Figure 2 shows an example of the configuration of an information processing system 1 according to one embodiment of the disclosure. As shown in 1, the information processing system 1 consists of servers 10A and 10B and one or more users This includes processing units 20A, 20B, and 20C for (employee committee members, etc.). Hereafter, the servers will be distinguished individually. If none exists, it will be referred to as Server 10, and if the processing unit is not distinguished, it will be referred to as Processing Unit 20. For example, the information processing system 1 according to this embodiment uses conversational AI to acquire conversations This system provides support for realizing human capital management based on data and other information.

[0020] Server 10 and processing unit 20 can send and receive data to and from each other via network N. It is possible. Server 10 may be composed of multiple processing units, and processing unit 20 is any It can also be a number. For example, the processing device 20 is an organization that provides services in the disclosed technology (e.g., Each employee (each user) belonging to a company, etc., reports on their daily work and engages in dialogue. This is an information processing device used when utilizing conversational AI.

[0021] Information processing system 1, based on employee conversation data acquired through conversational AI, The above-mentioned business reporting module, evaluation module, recruitment module, guidance module, confirmation module Joule and / or consultation modules may be implemented. By improving the job satisfaction of employees and other staff, we can realize human capital management. Next, we will describe the server 10 and processing unit 20 provided in the information processing system 1. ru.

[0022] For example, server 10A works in conjunction with server 10B, which performs AI processing such as generation AI. The company acquires and analyzes conversational data from its employees (users) using conversational AI. It supports personnel management. Note that server 10B may be implemented within server 10A.

[0023] Server 10A is connected to the processing unit 20 used by each user, such as managers, administrators, and employees. By providing conversational AI processing services, users can engage in more natural conversations at their preferred time. To acquire data. For example, a regular employee might use this conversational A in their daily work reports. By using the I process, you can submit your work reports at your preferred time and in a relaxed state. This becomes possible. The same applies to business owners and managers, who utilize conversational AI processing. This allows you to receive reports on your subordinates' work at your preferred time. Also, the server 10A provides the services of each functional module, as described later, to each user.

[0024] Regarding the processing unit 20, each user within the organization will use a personal computer, tablet, etc. This is a processing device for internet terminals, smartphones, etc. The processing device 20 is used by general employees within the organization. When indicating a processing unit to be used, it should be denoted with the symbol A, and it should be used as the processing unit of the administrator (supervisor, etc.) within the organization. When indicating it as such, the symbol B is used, and when indicating it as a processing device used by management within the organization, the symbol B is used. This indicates item C.

[0025] The processing unit 20A, in response to operations from general employees, sends conversational AI processing instructions to the server 10A. Business reports are made using logic. The processing unit 20A, for example, uses conversation data during business reporting. The results of the personality assessment, which are evaluated by the user, may be obtained from server 10A. The 20A can also utilize the modules described below.

[0026] The processing unit 20B used by the administrator will, in response to the administrator's instructions, process the subordinate's work reports. The contents can be retrieved from server 10A and displayed, or the various modules described later can be used. It is possible. The processing unit 20C used by the manager will, in response to the manager's instructions, process the work of the subordinates. The contents of the work report are retrieved from server 10A and displayed, and the modules described below are used. It is also possible to do so.

[0027] Furthermore, the processing unit 20 used by the user is accessed via a web browser, and the server 10A provides... Access the website (or web page) provided on this website. You may receive labor and human resources management services.

[0028] Furthermore, the processing unit 20 used by the user utilizes the service provided by the server 10A. An application program (app) for use may be installed. The application is disclosed in the following embodiments within the service provided by server 10A. The processing unit 20 is made to execute at least a portion of the processing related to the labor and personnel operations. When the pre-processing is executed, the processing unit 20 accesses the server 10A to execute the application. Send and receive information used in the line. The following information processing enables the execution of services related to disclosure technology. This section provides a detailed explanation of each component of the Logic System 1.

[0029] <Server Configuration> Figure 3 is a block diagram showing an example of a server 10 according to one embodiment of the disclosure. 0 represents one or more processors (e.g., CPUs), 110, and one or more networks. A communication interface 120, a storage device (storage unit) 130, and the interconnection of these components. Includes one or more communication buses 170 for connection. Hereinafter, Server 10A and Server 10B We will refer to them collectively as Server 10, but depending on the implementation, they may be called Server 10A and Server 1 You may configure 0B separately, or configure some of the components of server 10 on a different server. .

[0030] Server 10 may include a user interface 150, which may include , display, and input device (keyboard and / or mouse, or any other point Examples include lighting devices, etc.

[0031] The storage device 130 is, for example, DRAM, SRAM, or other random access solid-state storage device. These are high-speed random access memories (main memory). Also, the memory device 130 is 1 One or more magnetic disk storage devices, optical disk storage devices, flash memory devices, Alternatively, other non-volatile memory (auxiliary storage devices) such as non-volatile solid-state memory devices may be used. The storage device 130 stores programs and other items, including instructions for the computer. It may also be a non-temporary recording medium that can be read by the reader. In addition, the storage device 130 is the main memory It may be either a device (memory) or an auxiliary storage device (storage), or both. You may do so.

[0032] The storage device 130 stores data, programs, etc., used by the information processing system 1. For example, the storage device 130 stores employee information for each employee belonging to the organization, and conversations of each employee. Employee data, emotional data, analytical data, personality data, reporting data, office data, etc. Store employee-related information. Note that employee information and employee-related information are shown in Figures 4 and 5. This will be explained later using [the provided method].

[0033] Another example of the storage device 130 is one that is located remotely from the processor 110. This may be multiple storage devices. In one embodiment, the storage device 130 is a processor 110 Programs, modules, and data structures, or subsets thereof, that are executed by To deliver.

[0034] The processor 110 executes a program stored in the memory device 130, for example The service provision unit 111, conversation control unit 112, acquisition unit 113, generation unit 114, output unit 1 15. The analysis unit 116 and the functional unit 117 are composed of these components.

[0035] The service provision unit 111 provides each of the labor and personnel services disclosed in the embodiment. The service provision unit 111 receives requests from each processing unit 20 regarding labor and personnel operations. For example, it obtains business report requests, usage requests for each functional module described later, etc. It controls processes such as registering and managing information for each employee. 111 controls the execution of the services disclosed in the embodiments, service provision unit 11 1. Conversation control unit 112, acquisition unit 113, generation unit 114, output unit 115, analysis unit 116, machine It has a function unit 117. The following describes each process that the service provision unit 111 can provide.

[0036] ≪Business report≫ The conversation control unit 112 sends a conversational AI to the user terminal used by the user (an employee within the organization, etc.). It provides processing. For example, the conversation control unit 112 responds to user operations on the user terminal. It provides users with conversational AI processing and enables conversations with them.

[0037] The conversation control unit 112 uses a generation AI and an avatar AI to achieve natural-sounding conversations. It is also possible. For example, in generative AI, a large-scale language (LLM: Large) can function as a language generation AI. Using a Language Model, we conduct conversations, question-and-answer sessions, motivational activities, consensus building, and interviews. Avatar AI uses generative AI to generate a more human-like appearance, and motion AI By utilizing this, more human-like movements can be realized. Therefore, the conversation control unit 112 is free AI avatars that can engage in conversations will be able to respond in a more human-like manner.

[0038] The acquisition unit 113 acquires the user's business through conversations about business reports using conversational AI processing. The system retrieves conversation data related to the report. For example, the retrieval unit 113 retrieves data requested by an employee. Through conversational AI processing by the developed business reporting module, daily business reports are submitted in a natural conversational manner. We obtain live conversation data from it.

[0039] The generation unit 114 generates the user conversation data acquired by the acquisition unit 113, The system generates business report data. For example, the generation unit 114 generates daily work content and work progress. Based on conversation data including this, AI processing is used to aggregate and analyze the conversation data and generate business reports. Generates data. Business report data is generated by conversational AI processing, consisting of questions and their answers. It can be converted into text and generated in a format that can be filled in for each item of a business report template. In addition, business report data is generated using AI that generates words extracted from conversation data. You may allow it.

[0040] Business reports are submitted at timely intervals (for example, daily), so the information entered is used for... It can be processed in real time. Therefore, managers can see what is currently happening among the employees. To understand in a timely manner what is happening and where the problem lies. Conversational AI is text It is said that it can transmit more than five times the amount of information per unit of time compared to communication. Furthermore, because it also contains a wealth of non-verbal information, it can be said to be superior in both the quality and quantity of information. Employees use conversational AI to submit work reports, which allows them to communicate information that would otherwise be difficult to convey in face-to-face meetings. It becomes easier to communicate specific worries and problems.

[0041] The output unit 115 outputs the business report data generated by the generation unit 114 to the user's administrator. The output is sent to the administrator terminal used. For example, the output unit 115 outputs the data generated by AI processing. The work report data is output to the processing unit 20B used by the administrator. The output method is as follows: There are various methods, but for example, the output unit 115 is a notification by the labor and human resources service of the disclosure technology. The function can be used to output data, or to receive business report requests from administrators or managers (also referred to as "administrators, etc."). When a strike is detected, it may be reported using the conversational AI processing described above. The output unit 115, generated by the generation unit 114, outputs data on the work of multiple subordinates under the management of the same administrator. The compiled report data is output to the processing unit 20B used by the administrator. That's good too.

[0042] In summary, by utilizing conversational AI processing, it is possible to appropriately communicate with employees and others in daily operations. It will become possible to obtain information. Also, the work reports that employees must report daily will be available. By using conversational AI processing in the announcement, it is possible to avoid burdening employees, and Furthermore, it is possible to expect an increase in the amount of information through conversational interactions. In addition, users can use business reports. Since business report data is generated through conversations related to this topic, work efficiency improves.

[0043] Furthermore, utilizing conversational AI processing can yield the following benefits: • Skill improvement The user's conversational skills, emotional processing, and memory will improve, leading to better learning outcomes. • Improve interpersonal relationships Since users don't feel embarrassed making mistakes when talking to an AI, it increases opportunities for conversation among users. ·engagement There is no harassment from superiors or others, and it is possible to have honest conversations.

[0044] The analysis unit 116 analyzes user conversation data in business reports and determines whether the user or user Identify issues related to the organization to which you belong. For example, the analysis department 116 reports in real time. From the conversational data, we extract issues and problems in business reports. As a specific example, the analysis department... 116 identifies dissatisfied users and the nature of their dissatisfaction, and helps to improve engagement within the organization. We analyze the reasons for the decline in performance, the causes of the high number of employee resignations, and the decline in sales. We analyze the reasons for the intrusion.

[0045] For example, the analysis unit 116 extracts conversation data obtained from each user and organizational issues. The prompts to be displayed are input into the generating AI, and the output results are extracted as problems. It is also acceptable to do so. Furthermore, regarding the extraction of issues, the analysis unit 116 creates a list of specific keywords, etc. Then, when words from conversation data corresponding to those specific keywords are extracted, Alternatively, the system could extract the corresponding tasks and the users who made those statements.

[0046] The output unit 115 outputs the issues extracted by the analysis unit 116 to the administrator terminal used by the administrator. This may also include outputting to the output unit 115. The output unit 115 may output tasks generated by, for example, AI processing. The data is output to the processing unit 20B used by the administrator. There are various methods for outputting the data. There are methods, but for example, the output unit 115 is, as described above, a labor and human resources service of the disclosed technology. Output is generated using the notification function, or when a request for issue reporting is received from an administrator, etc. Alternatively, you may use the conversational AI processing described above to submit your report.

[0047] Through the above processing, according to the disclosure technology, the conversation data of daily business reports can be used to identify users and groups. This allows us to identify weaving challenges, enabling managers and others to quickly grasp these challenges and consider countermeasures. And measures can be implemented. In addition, according to the disclosure technology, analysis and evaluation of morphological analysis can be performed. By using AI, it becomes possible to objectively analyze and evaluate conversation data. ru.

[0048] The generation unit 114 collects the business report data of each user acquired by the acquisition unit 113. This includes the following. Based on the collected business report data, the generation unit 114 generates data that meets the predetermined criteria. This may include extracting specific report content. For example, the generation unit 114 may extract the user's task It determines whether the predetermined criteria for extraction are met. The predetermined criteria are, for example, those that a conversational AI can use. After asking a question related to the topic, determine whether or not there is conversation data of what the user said. The generation AI extracts the issues, and the similarity of specific words related to the issues exceeds a threshold. This includes being judged as high, etc.

[0049] The generation unit 114 makes the extracted specific report content selectable by the administrator, etc., for business report data This includes generating data. Specific reporting content may include, for example, the issue and the users who have that issue. The generation unit 114 has a problem when reporting business report data from multiple users. Make it possible to select user A, and allow the administrator to understand the issues of that user. Narube 114 analyzes the business report data of multiple users, specifically the business report of user A, who has issues. The data may be made identifiable as having a problem. For example, the generation unit 114 may generate a business report When the notification data is displayed, it will be marked with an issue marker, and the work report data will be audible. When outputting the results, you may also add an audio message indicating that User A has a problem.

[0050] Through the above process, administrators can select specific report content from among the work reports of multiple users. By selecting what to include, it becomes possible to efficiently understand the report content. For example, a specific report If the content of the report is a problem, it is possible to identify the problem the user has and easily understand the current problem. This is possible. In addition, specific report content can be used to report user health status, organizational performance, complaints, and improvement measures. It may be at least one of the following. The method for identifying each of these items is the predetermined basis described above. The issue can be identified by replacing the "problem" in the entry with any of the other items.

[0051] The output unit 115 outputs the business report data generated by the generation unit 114 to the conversational A type described above. This may include reporting to administrators, etc., using I processing. Output unit 115 processes business reports. During processing, by utilizing conversational AI processing, the acquisition unit 113 can receive conversational data from administrators, etc. It is possible to obtain data. In addition, busy administrators can access each user's work report data. It becomes possible to report using voice, which increases the amount of information the listener can receive.

[0052] When reporting business report data, conversational AI processing provided by the conversation control unit 112 is used. Furthermore, the acquisition unit 113 may also include acquiring conversation data from administrators, etc. When reporting business operations to an administrator, the acquisition unit 113 acquires the conversation data spoken by the administrator. To acquire. For example, the conversation control unit 112 acquires information from the administrator, etc., acquired by the acquisition unit 113. In response to a voice request for a work report, the work report for each user is sent via the output unit 115. In addition, the acquisition unit 113 will issue a business report under the control of the conversation control unit 112. During this process, conversation data from administrators, etc., may be acquired and analyzed by the analysis unit 116. The analysis unit 116 may analyze the corporate culture of the organization based on everyday statements from managers, etc. .

[0053] Through the above process, administrators and others can use conversational AI to review the contents of work reports. This becomes possible. Even busy managers can communicate with their subordinates via voice or other means during spare time, such as during travel. This will allow you to understand work reports and issues, etc. It will also enable conversations with managers, etc. By analyzing data, we can analyze corporate culture.

[0054] Personality Diagnosis The analysis unit 116 performs personality aptitude diagnosis, character assessment, and emotional intelligence analysis based on conversation data. Conduct a personality analysis that includes at least one EQ (Emotional Intelligence) assessment. Analysis Department 11 For example, in step 6, it becomes possible to record a history of conversational data by using conversational AI processing.

[0055] (Personality aptitude test) Analysis unit 116 performs a personality aptitude test based on the history of conversation data, and then assesses work It diagnoses adaptability in the workplace environment. The analysis unit 116, based on the history of conversation data, Leadership, problem-solving ability, adaptability, communication skills, teamwork skills, self The system diagnoses items such as self-management.

[0056] The conversation control unit 112 asks questions corresponding to each diagnostic item of the personality aptitude test, and reports them to the business report. Insert the question into the announcement to prompt the user. For example, the conversation control unit 112 will Within a set period (for example, 30 days), the questions for each diagnostic item of the personality aptitude test are divided and used The system is instructed to contact the analysis unit 116, and the analysis unit 116 analyzes the user's answers to the questions for each diagnostic item. Depending on the content, a personality aptitude test may be conducted. According to this, the user will perform work reports. In addition, it becomes possible to perform a personality aptitude test. Furthermore, the analysis unit 116 is already The existing diagnostic engine is used to input conversation data from the user's work reports and then examines each of the above diagnostic items. It is permissible to make a decision. In addition, the analysis unit 116 analyzes the conversation data during the business report and the above-mentioned diagnostics. The trained model, which has learned the relationship between diagnostic items, is used to input each user's conversation data into each diagnostic item. You may obtain the results of the eye assessment. Personality aptitude test results are useful for the user's career planning. It can be put to good use.

[0057] (Personality assessment) The analysis unit 116, as a personality assessment, understands inner characteristics based on the history of conversation data. The analysis unit 116 diagnoses the characteristics necessary for this. The analysis unit 116 analyzes the Big Five personality traits ("Openness"). "Conscientiousness" "Extraversion" "Agreeableness" "Cooperativeness," "Neuroticism," self-efficacy, locus of control, Grit, values, time perspective, social skills, self-control, integrity, self-esteem Mindset, optimism / pessimism, learning style, creativity, moral judgment, resilience You can diagnose at least one of them.

[0058] For example, when a user registers, the service provider unit 111 will provide information on each diagnostic item for personality assessment. You can ask questions and perform a personality assessment based on the user's answers. For example, answer the following questions using a scale of 1 (strongly disagree) to 6 (strongly agree). By having the user answer questions in stages, the Big Five personality traits can be diagnosed (https: / / oshio.ki (nsta.cloud / scales / ). • Things will go better if you clarify ambiguous matters into black and white. I think everyone can be divided into "winners" and "losers." I want to clarify what is safe and what is dangerous. Clearly defining boundaries in everything makes things much easier. Every problem has a "correct" and an "incorrect" answer. I want to clearly distinguish between information that is useful to me and information that is not. Furthermore, the conversation control unit 112 asks questions corresponding to each diagnostic item of the personality assessment, as well as questions related to the work report. It may be inserted and the user is asked. For example, the conversation control unit 112 is predetermined Within a specified period (e.g., 30 days), ask the user separate questions for each diagnostic item of the personality assessment. The analysis unit 116 then performs a personality assessment based on the user's answers to the questions for each diagnostic item. You may update the decision. According to this, users will perform a personality assessment along with their work report. This becomes possible. Personality assessments only need to be updated at predetermined intervals. This is because personality doesn't change easily. Because it is not something that requires daily updates, for example, daily updates are not necessary. Also, the analysis unit 116 is already The existing personality assessment engine is used to input the user's conversation data from their work reports, and then each of the above assessment items is evaluated. It may also be used to diagnose the following. Furthermore, the analysis unit 116 uses conversation data from the time of business reporting and the above The trained model, which has learned the relationship between each diagnostic item, is used to input each user's conversation data into each diagnostic... You may obtain the results of the cross-sectional assessment. Personality assessment results can be effectively used for self-understanding and improving interpersonal relationships. It is possible.

[0059] (EQ assessment) The analysis unit 116 performs an EQ diagnosis based on the history of conversation data to assess emotional management and interpersonal skills. Each diagnostic item focuses on kill. Analysis unit 116 diagnoses self-awareness, social awareness, and mo You may assess at least one of the following: motivation, self-management, interpersonal skills, and empathy.

[0060] The conversation control unit 112 inserts questions corresponding to each diagnostic item of the EQ diagnosis into the questions in the work report. The system will then prompt the user for an inquiry. For example, the conversation control unit 112 will contact the user for a predetermined period (for example) Within 30 days, the questions for each diagnostic item of the EQ assessment will be separated and asked to the user. The analysis unit 116 performs an EQ diagnosis based on the user's answers to the questions for each diagnostic item. Good. This would allow users to conduct EQ assessments while submitting their work reports. Furthermore, the analysis unit 116 inputs the user's conversation data from their work reports into the existing EQ diagnostic engine. You may also have the above diagnostic items diagnosed. In addition, the analysis unit 116 will perform the work report. The trained model, which has learned the relationship between the conversational data and each of the diagnostic items mentioned above, is then used to analyze each user's conversational data. You can also input conversation data to obtain results for each diagnostic item. EQ diagnostic results are related to emotional issues. This can be effectively used to solve the problem. Regarding EQ diagnosis, see the same applicant's Patent No. 7 Official Gazette No. 487986 may be helpful.

[0061] Through the above process, users can deepen their self-understanding through daily interactions with conversational AI. Each user will be able to feel their own growth. In addition, the analysis unit 116 analyzes the user terminal's data. By displaying the analysis results on a screen such as a dashboard, the following becomes possible: • AI can analyze and display today's emotions. • You can check the diagnostic indicators, which are updated daily. AI that understands itself can provide appropriate advice.

[0062] The conversation control unit 112, according to the diagnosed personality, controls the conversation of the conversational AI. This may include changing the content. For example, the conversation control unit 112 may change the personality suitability Input at least one of the following into the generative AI used by the conversational AI: a diagnostic test, a personality test, or an EQ test. Specifically, the conversation control unit 112, when generating a conversation during a business report, diagnoses the following: Instructions to generate conversational data while considering the user's personality assessment results, conversational The AI ​​processing should include it in the prompts of the generated AI. The analysis unit 116 evaluates the —An AI could be constructed that generates a user's personality using the results of a personality assessment.

[0063] Through the above process, in conversational AI processing that users use on a daily basis, the process is tailored to each individual user. This will allow users to customize the content of their conversations. The more you use the service, the more a conversational AI that is easy to talk to will be developed. Furthermore, it becomes possible to generate a personality for each user using the results of their personality assessment. .

[0064] ≪Facial expression analysis≫ The acquisition unit 113 includes acquiring facial expression data during the user's conversation. Step 3 uses the camera function of the user's processing unit 20 to acquire facial expression data during the business report.

[0065] Analysis unit 116 analyzes the acquired facial expression data and quantifies the emotion. 16 understands the meaning behind facial expressions, posture, hand movements, etc., through the camera. It is acceptable to infer emotions. For example, AI that analyzes emotions from facial expressions is already publicly known, and analysis unit 1 16 uses this publicly known technology, AI for emotion recognition, to collect emotional data (joy, sadness, surprise). The analysis unit 116 may obtain (e.g., anger). This may include understanding the user's psychological state.

[0066] Through the above process, the AI ​​analyzes the user's facial expressions when using the conversational AI and conveys emotions to the user. It becomes possible to notify users. Furthermore, it becomes possible to visualize user emotions in real time. That is the case.

[0067] <<Integration of internal data>> The acquisition unit 113 acquires data set in the calendar function used by the user, chat function Data entered by and / or rules managed by the organization to which the user belongs To acquire internal data, including document data containing data, labor management data, or employee data. This includes doing so.

[0068] For example, the acquisition unit 113 retrieves the user's calendar settings in the calendar function used by the user. Acquire Joule data and user text data entered using chat tools. This involves obtaining data such as schedule data, which is used to select candidate dates for events (meetings, interviews, etc.). It is used for the following. The text data from the chat function is used for the personality diagnosis mentioned above. It may be done. The acquisition unit 113 acquires rule data and labor management data managed by the organization to which the user belongs. Document data, including management data or employee data, may be retrieved from the company's internal database. stomach.

[0069] The conversation control unit 112 initiates a conversational AI process based on the acquired internal company data. This may include the following. For example, the conversation control unit 112 generates A used in conversational AI processing. By incorporating internal company data into I and the learning model, the schedule data can be used as a basis. They will discuss available dates and times, and based on the text data entered into the chat function... We require employees to report their personality assessment results and work reports, and based on internal document data, as described below. They will have conversations about the details and confirmations related to the tasks they are performing.

[0070] Through the above process, by importing data used within the company, business-related information can be obtained. This can be resolved using conversational AI processing. For example, scheduling, Supplemental data from personality assessments, supplemental data on job duties, and other personnel and labor-related matters. The system uses conversational AI processing to provide answers to questions and confirmations from the user. You will be able to do that.

[0071] The service provision unit 111 stores each user's business report data and internal company data in a storage device (storage (Example of part) It may also include storing in the storage device 130. The functional unit 117 stores in the storage device 130. Based on the stored business report data and / or internal company data, AI processing corresponding to the specified function Further actions may be taken to perform the necessary tasks. The prescribed functions, for example, support tasks related to labor and human resources. It is a function that does this.

[0072] Through the above process, not only is conversation data obtained from users processed, but also data used within the organization. Schedule data, input data from the chat function, and data stored in the organization's database. Using document data and other materials, it is possible to support tasks related to labor and human resources in addition to business reports. It becomes Noh.

[0073] ≪Evaluation Module≫ If the specified function includes an evaluation function, the functional unit 117 will process each business report data and internal data. Based on this, setting goals for the designated user's work, or evaluating the designated user's work. This may include performing AI processing to do so. For example, the evaluation module of the functional unit 117 The system uses AI processing to handle goal setting and performance review interviews for each user.

[0074] Functional unit 117, as a specific example, sets evaluation indicators and calculates performance results based on business report data. And, it visualizes user performance. For example, the functional unit 117 has previously... It learns the relationship between business report data and past user evaluations, and uses business report data to inform user evaluations. Obtain evaluation data for the server.

[0075] Through the above process, administrators can evaluate users and make decisions about assigning the right people to the right positions. This makes it possible to improve the accuracy of using disclosure technology.

[0076] ≪Modules to be adopted≫ The functional unit 117, when a predetermined function includes an adopted function, processes each business report data and internal data. This may include performing AI processing to ask questions to job candidates. For example, Nobu 117 uses AI to generate questions that the HR department will ask candidates during job interviews. They act on behalf of others. For example, Functional Unit 117 acts as an interviewer for the Human Resources Department and asks questions. The generated AI is instructed to start a conversation by including it in the rompt. The functional unit 117 then processes the user's conversation data. Based on this, the following questions will be asked. Also, the functional unit 117 will assess the personality of the interviewer from the Human Resources Department. Using the results of the personality assessment and employee data, we create a program where you can ask questions as if you were the interviewer. Include it in Rompto.

[0077] Through the above process, managers and others can avoid the time-consuming process of conducting interviews with job candidates. By having AI handle negotiations, business operations can be made more efficient.

[0078] ≪Guidance Module≫ If the specified function of the functional unit 117 includes a guidance function, it will provide onboarding guidance or This may include performing AI processing to respond to labor inquiries. For example, Nobe 117 contains internal documents such as employee orientation information and labor management regulations. By importing internal document data into LLM, you can specify and manage these internal document data. The person in charge inputs prompts for questions into the AI ​​generator.

[0079] Through the above process, administrators and others can avoid the time-consuming task of providing guidance and responding to inquiries. By having AI handle the answer processing, business operations can be made more efficient.

[0080] ≪Verification Module≫ If the specified function includes a verification function, the functional unit 117 verifies the work history based on internal company data. Alternatively, it may include performing AI processing to confirm the reason for resignation. For example, Functional Unit 1 17 imports employee data into LLM and allows users to check their work history and reasons for leaving the company. When questions such as confirmations are received, the system uses a generation AI to provide answers.

[0081] Through the above process, the time-consuming tasks of verifying work history and answering questions about reasons for leaving are eliminated, allowing the administrator to... For example, AI can handle the processing of responses, thereby streamlining operations.

[0082] ≪Consultation Module≫ If the specified function includes a consultation function, the functional unit 117 will use internal data and / or personal data. Based on the diagnostic results, etc., A provides mental health or career counseling to each user. This may include performing I processing. For example, the functional unit 117 performs the user personality of the person seeking advice. The AI ​​generates an instruction to include the question and the content of the inquiry in the prompt, and then it receives the answer. It's advantageous.

[0083] Through the above process, things that would normally be difficult to say become easier to say because the other party is an AI, and By utilizing conversational AI processing, even users with low language expression abilities can be assisted in conversation. It is possible.

[0084] As described above, the disclosure technology includes conversational AI, emotional AI, analytical and evaluation AI, and personality generation AI. I and, as appropriate, combine as needed, conversation data, sentiment data, analytical data, and / or Personality data can be accumulated. Disclosure technology uses this data to inform the organization's information base. A board can be constructed. Also, based on the above conversation format, avatars can be created as needed for the supported environment. It's also possible to switch to a chat format using a conversational AI without using the tera AI. Yes, it does. This allows users to submit reports tailored to their usage scenarios and work styles.

[0085] ≪Examples of each data set≫ Next, Figures 4 and 5 show examples of the data stored in the storage device 130 of server 10. Let's use this to explain. Figure 4 is a diagram showing an example of employee information according to one embodiment. Figure 5 is This figure shows an example of employee-related information according to one embodiment.

[0086] The employee information shown in Figure 4 includes employee ID, name, contact information, address, department, employment type, etc. Each piece of data / information is included. Employee IDs are used by employees (general employees) who use the system disclosed in this disclosure. This includes employee IDs (for staff, managers, and executives), names, user name information, and contact information. This includes information such as phone numbers, email addresses, and social media accounts. The address is for employees. The address includes the department to which the employee belongs, and the employment type includes the employee's employment status. Furthermore, employee information includes details such as date of birth, job title, performance evaluation, skills, and marital status. That's good too.

[0087] The employee-related information shown in Figure 5 includes employee ID, conversation data, sentiment data, and analytical data. This includes various data / information such as personality data, reporting data, and office data. Employee ID This shows the same example as the employee ID in the employee information shown in Figure 4. The conversation data is processed by a conversational AI. This is conversation data obtained by [the system], and its history may be stored. Sentiment data is conversation data Includes emotional data obtained by analyzing emotions from conversation and / or facial expression data, etc. The analyzed data is conversation This includes issues analyzed based on data. Personality data is accumulated conversational data and personality data. Includes data showing the user's personality characteristics, formed based on personality assessment results, etc. Report data The data includes business report data generated from user conversation data during business reporting. The data is set in the calendar function used by the user, and the chat function. The entered data, and / or the rules and labor data managed by the organization to which the user belongs. This includes internal company data, such as management data or document data containing employee data.

[0088] <Processing device configuration> Figure 6 shows an example of a processing apparatus 20 according to one embodiment of the disclosure. For example, processing apparatus Device 20 is a device used by the organization's employees (including managers), etc. Processing device 20 is 1 One or more processors (e.g., CPUs) 210, one or more network communication interfaces Face 220, storage device (storage unit) 230, user interface 250, and these The processing unit includes one or more communication buses 270 for interconnecting its components. 20 indicates that when referring to processing equipment used by employees, each component is denoted by the symbol A, and is used by the administrator. When indicating a processing unit, each component is denoted by the code B, and when indicating a processing unit used by the manager, In total, each component is assigned the symbol C.

[0089] The user interface 250 includes a display 251 and input devices (keyboard and / including a mouse or any other pointing device, etc.) 252.

[0090] The storage device 230 is, for example, DRAM, SRAM, or other random access solid-state memory. This is a high-speed random access memory (main memory) for devices such as a device. Furthermore, the memory device 230 is , one or more magnetic disk storage devices, optical disk storage devices, flash memory devices It may also be a non-volatile memory (auxiliary storage device) such as a solid-state or other non-volatile memory device. Furthermore, the storage device 230 may be a computer-readable, non-temporary recording medium. The storage device 230 is either main memory or auxiliary storage. However, it is also acceptable to have both.

[0091] The storage device 230 stores data and programs used by the information processing system 1. For example, the storage device 230 is an application for the processing device 20 in the information processing system 1. It stores command programs and other information.

[0092] The processor 210 executes the program stored in the memory device 230, The service processing unit 211 is configured. The service processing unit 211 handles, for example, web browsers and mail This includes applications such as web browsers. The web browser is provided by server 10. Enables browsing of pages. Also, applications installed on user terminals. Executing this will enable you to view the web pages that provide the aforementioned services. The processing unit 211 receives the communication control unit 212, the display control unit 213, It has an operation control unit 214.

[0093] The communication control unit 212 displays various screens related to the disclosure technology transmitted from the server 10. Area information is acquired. For example, the communication control unit 212A of the processing unit 20A used by employees, Business reporting screen utilizing conversational AI processing; screens for each function module available to general employees. It acquires information from various screens, such as the evaluation screens for general employees. It also acquires processing data used by administrators. The communication control unit 212B of unit 20B is a management screen that receives work reports from general employees, and is used by administrators. It retrieves screen information for each available function module, such as the screen layout. It also retrieves information used by management. The communication control unit 212C of the processing unit 20C is a management screen that receives work reports from employees, and management The communication control unit 212 acquires screen information such as the screens of each function module available to the user. This involves the server 10 receiving information selected and configured using each screen, as well as predetermined requests. This outputs operational information related to this service.

[0094] The display control unit 213, based on the screen information acquired by the communication control unit 212, Control the display of service-related screens on display 251. For example, an employee The display control unit 213A of the processing unit 20A used is a business report display that utilizes conversational AI processing. Screens such as the main screen, the screens for each function module available to general employees, and the evaluation screens for each general employee. It controls the display of information. In addition, the display control unit 213B of the processing unit 20B used by the administrator, Management screen for receiving work reports from general employees, and screens for each function module available to administrators. It controls the display of various screen information, such as those mentioned above. The display control unit 213 of the processing unit 20C used by the manager. C is a management screen for receiving work reports from employees, and each functional module available to management. It controls the display of various screen information, such as screen displays.

[0095] The operation control unit 214 receives user operations on the UI components displayed on each screen. Operation information was transmitted to the application on the processing unit 20 or output to the server 10. For example, the operation control unit 214 allows employees, managers, or executives to select, set, and Alternatively, it may output the entered labor and personnel information to server 10.

[0096] The communication control unit 212 transmits each operation information received by the operation control unit 214 to the network via The data is sent to the server 10 via interface 220.

[0097] Through the above process, the processing unit 20 used by employees, managers, or executives is connected to the server 10. By processing in conjunction with this, conversational AI processing is used to process conversational data from the user. It can acquire, analyze, and evaluate data. Furthermore, as mentioned above, it utilizes conversational AI processing. This allows users to report their work in a relaxed environment where they can speak at their own pace. It is possible to do so.

[0098] <Operation Description> Next, we will explain each operation of the information processing system 1. Figure 7 shows the operations according to one embodiment. This is a flowchart showing an example of reporting processing. In the example shown in Figure 7, Server 10 is a conversational AI This is an example of a process used to receive business reports from users.

[0099] In step S102, the conversation control unit 112 of the server 10 determines the user The terminal provides conversational AI processing. For example, conversational AI processing involves a generative AI and avatar A. To enable more natural conversations, use "I" (pronunciation guide).

[0100] In step S104, the acquisition unit 113 of the server 10 performs business operations using conversational AI processing. Through conversations about reporting, we obtain conversational data related to users' work reports. For example, The acquisition unit 113 processes the business report module requested by the employee using conversational AI processing. Through logic, we obtain real-world conversational data from daily work reports in a natural conversational manner.

[0101] In step S106, the generation unit 114 of the server 10 is acquired by the acquisition unit 113. Based on the conversation data of the user, generate user work report data. For example, generate Department 114 uses AI processing based on conversational data including daily work content and work progress. The system collects and analyzes conversation data to generate business report data.

[0102] In step S108, the output unit 115 of the server 10 is generated by the generation unit 114. The generated business report data is output to the administrator terminal used by the user's administrator. For example, output Unit 115 processes the business report data generated by AI processing into a processing unit 2 used by the administrator. Output to 0B.

[0103] Through the above process, by utilizing conversational AI processing, employees can perform daily tasks. It will become possible to obtain information appropriately from staff members, etc. Also, employees will not have to report daily. By using conversational AI processing in business reporting, the burden on employees can be reduced. Furthermore, it is also possible to expect an increase in the amount of information through conversational interactions. Because business report data is generated through conversations about business reports, business efficiency is improved. do.

[0104] Figure 8 is a flowchart illustrating an example of processing after acquiring conversation data according to one embodiment. The example shown in Figure 8 is an example of the analysis process performed by server 10.

[0105] In step S202, the analysis unit 116 analyzes the acquired conversation data or facial expression data. The system analyzes and quantifies emotions. For example, the analysis unit 116 uses a camera to analyze facial expressions and posture. You can try to understand the meaning behind the movements and hand gestures and infer the emotions behind them. (Analysis Section 116) This involves natural language processing of conversational data and analysis of speech data, analyzing the content of the conversation, the tone of voice, You can also try to understand the intent and emotions of a conversation from its speed and emphasis.

[0106] In step S204, the analysis unit 116 performs analysis and evaluation based on the conversation data. Analysis and evaluation include, for example, personality assessments and the identification of issues.

[0107] In step S206, the analysis unit 116 performs a personality analysis of each user. For example, The analysis unit 116 forms the user's personality based on the personality diagnosis results. For example, Among the items evaluated in the personality assessment results, the number of times an item exceeds a predetermined value is less than the threshold. If item A is the case above, then the user has the characteristics of item A, and the user has the characteristics of item A. It may also represent the personality of Za. Furthermore, steps S202 to S206 are at least Only one of the processes needs to be executed.

[0108] As described above, the disclosure technology includes conversational AI, emotional AI, analytical and evaluation AI, and personality generation AI. I and, as appropriate, combine as needed, conversation data, sentiment data, analytical data, and / or Personality data can be accumulated. Disclosure technology uses this data to inform the organization's information base. A board can be constructed.

[0109] Figure 9 is a flowchart showing an example of the processing of each functional module according to one embodiment. In the example shown in Figure 9, the server 10 executes each process as the user selects each process. .

[0110] In step 302, the service provision unit 111 of the server 10 performs each service Determine whether a trigger has occurred. For example, if the acquisition of conversation data is the trigger, The process proceeds to step S304, and if the user (administrator) action indicates adoption, the process is S Proceed to step 306. If the user (administrator) action indicates a guided process, the process proceeds to step S. Proceed to step 308. If the user (administrator) action indicates a confirmation process, the process proceeds to step S310. If the user's (general employee's) actions indicate a consultation process, the process proceeds to step S312. nothing.

[0111] In step S304, the functional unit 117 of the server 10 processes each business report data and internal data. Based on the data, set goals for the work of a designated user, or for the work of a designated user. The AI ​​processes the evaluation to make an assessment. For example, the evaluation module of the functional unit 117 evaluates each user AI processing is used to automate goal setting and performance review interviews for the employee.

[0112] In step S306, the functional unit 117 performs operations based on the business report data and internal data. This may include performing AI processing to ask questions to job candidates. For example, the functional department 117 uses AI to generate questions that the HR department asks candidates during job interviews. I will do it on your behalf.

[0113] In step S308, the functional unit 117 may perform AI processing to answer the recruitment guidance or labor inquiries based on the in-company data. For example, the functional unit 117 may import the in-company document data containing the recruitment guidance and the in-company document data containing the labor management rules, etc. into the LLM, specify these in-company document data, and input the prompt for the administrator or the operator, etc. to ask questions into the generative AI.

[0114] In step S310, the functional unit 117 may perform AI processing to confirm the work history or the reason for leaving the company based on the in-company data. For example, the functional unit 117 imports the employee data into the LLM, and when questions such as confirming the work history of a predetermined user or the reason for leaving the company are obtained, it uses the generative AI to answer.

[0115] In step S312, the functional unit 117 may perform AI processing to receive consultations on mental health or career from each user based on the personality diagnosis results, etc. For example, the functional unit 117 inputs an instruction to include the personality of the user who consults and the content of the consultation in the prompt to the generative AI to obtain an answer.

[0116] Through the above processing, not only can a business report be automatically generated, but also by using the conversational AI processing, each business related to labor and personnel can be supported, and the efficiency of complicated business can be improved.

[0117] <Screen Example> Next, an example of each screen displayed on the information processing system 1 will be described. FIG. 10 is a diagram showing an example of an execution screen of a conversational AI according to an embodiment. The screen D shown in FIG. 10 2 activates a conversational AI avatar to generate a daily report as a business report, and receives from the user A screen example for hearing the content of the business report is shown.

[0118] As shown in FIG. 10, the user can input the content of the business report by interacting with the avatar, without having to perform cumbersome text input. Also, as described above, the avatar becomes an avatar that understands the user by the personality generation AI, so the user can talk more easily and talk about problems more easily.

[0119] FIG. 11 is a diagram showing the concept of a business report between a subordinate and a superior according to an embodiment. In the screen D4 shown in FIG. 11, Mr. Yamada of the sales department uses a conversational AI to conduct a business report, and automatically generates business report data on server 1 0. Similarly, business report data for each employee in the sales department is generated. Also, in the example shown in FIG. 11, Mr. Taniguchi of the sales department uses a conversational AI to receive a subordinate's business report. As shown in FIG. 1 there is shared the main information on the spot by the AI in the disclosed technology.

[0120] The section head, Mr. Taniguchi, can select an employee with problems from the sales department and receive the business report of that employee. An employee with problems can be extracted by analyzing the conversation data by the analysis unit 116. <00009​​​​​​​This will inform the manager or executives of the situation on site that day, summarizing the details in a conversational manner. This becomes possible.

[0122] Figure 13 shows an example of an employee dashboard screen according to one embodiment. Figure 13 According to screen D8 shown, it has a business report area and a personality assessment area. For example, in the business reporting area, when a user interacts with the business reporting area, as shown in Figure 10... Conversational AI processing is performed, allowing users to submit work reports in a conversational format. Furthermore, when the user interacts with the personality diagnosis area shown in Figure 13, the following will occur as shown in Figure 14. The results screen of the personality assessment may be displayed.

[0123] Figure 14 shows an example of the results of a personality diagnosis according to one embodiment. Figure 14 Screen D10, shown here, displays three diagnostic results: EQ diagnosis, personality aptitude diagnosis, and personality diagnosis. You may also display this. In the example shown in Figure 14, each item is listed for each diagnosis. However, using a diagram like a radar chart makes it easy to understand which evaluation values ​​each user has high. It may be possible to make it grippable. The user should keep a record of changes in past diagnostic results. This allows users to deepen their self-understanding and experience daily growth through daily interactions with conversational AI. It is possible.

[0124] Figure 15 shows an example of a management dashboard screen according to one embodiment. Figure 15 Screen D12, shown here, contains the area for receiving work reports from subordinates and the analysis performed by the analysis unit 116. This includes areas for identifying issues and displaying problems. In the business report area, see Figure 11 or As shown in Figure 12, employees' work reports are gathered through conversations and compiled by department. It is possible to receive the generated work report, etc.

[0125] On the screen for grasping issues, the issues extracted by the analysis unit 116 are displayed. Also, In the manager's dashboard, the average value of a predetermined score of employees may be displayed daily using the calendar function. The predetermined score may be, for example, any of a score related to engagement, a score related to healthcare, a score related to the extracted issues, etc. Also, the analysis unit 116 may calculate an organization score indicating the state of the organization that can be calculated from the conversation data of employees. The organization score may be obtained by quantifying each item of motivation, communication, engagement, emotion, opinions / ideas, feedback, job satisfaction, issue discovery ability, career growth, stress level, information power, and work-life balance, and substituting each numerical value into a predetermined function. The numerical value of each item may be calculated based on, for example, the number of utterances corresponding to each item among the conversation data of each employee, and for example, questions related to motivation may be periodically asked by a conversational AI, and the numerical value of motivation may be calculated based on the answers. 値を1日ごとに表示するようにしてもよい。所定のスコアは、例えば、エンゲージメント に関するスコア、ヘルスケアに関するスコア、抽出された課題に関するスコアなどのいず れかである。また、分析部116は、従業員からの会話データにより算出できる組織の状 態を示す組織スコアを算出してもよい。組織スコアは、モチベーション、コミュニケーシ ョン、エンゲージメント、感情、意見·アイデア、フィードバック、業務満足度、課題発 見力、キャリア成長、ストレスレベル、情報旧有力、ワークバランスの各項目を数値化し 、各数値を所定関数に代入して求められてもよい。各項目の数値は、各従業員の会話デー タの中から、各項目に対応する発言の回数等に基づき算出されてもよく、例えば、会話型 AIにより定期的にモチベーションに関する質問をして、その回答によりモチベーション の数値が算出されるようにしてもよい。

[0126] As described above, according to the disclosed technology, a mechanism for smoothing the organization is provided by using the conversational AI to take care of employees daily. FIG. 16 is a diagram showing an example of a cycle of visualization, growth support, and engagement enhancement of work according to an embodiment. According to the example shown in FIG. 16, employees perform daily work reports using the above-described conversational AI. As a result, employees can easily perform work reports, and self-understanding based on grasping the diagnosis results of personality とで、組織が円滑になる仕組みが提供される。図16は、一実施形態に係る業務の可視化 ·成長支援·エンゲージメント強化のサイクル例を示す図である。図16に示す例によれ ば、従業員は、上述の会話型AIを利用して日々の業務報告を行う。これにより、従業員 は、業務報告を簡便に行うことができ、パーソナリティの診断結果の把握による自己理解 This deepens the understanding and makes it possible to visualize growth through strengthening areas for improvement. Based on employee work reports, the analysis department 116 uses the aforementioned AI processing to analyze each individual's work We collect and analyze data on mental state. This allows us to understand work processes, analyze individual situations, and identify challenges. This enables aggregation and organization. Furthermore, management and supervisors can use the analysis results from the Analysis Department 116 as described above. This can be understood through dashboards, etc. For example, management and executives can see the analysis department 1 By analyzing work content and individual circumstances as described in 16, it becomes possible to understand the issues and address them. It is possible. Furthermore, regarding the response to the issues, the AI ​​processing by the analysis unit 116 identifies the points for improvement. They grasp the situation, suggest areas for improvement, and support business improvement and organizational development. For example, the analysis department 116 The AI ​​is prompted to provide the content of the problem and points for improvement regarding that problem. By doing so, areas for improvement can be identified. These areas for improvement can then be suggested to employees. By doing so, employees can implement the improvement points and feel a sense of growth. By implementing this cycle, we can make work visible to employees and communicate through daily work reports. This allows employees to feel a sense of growth within the organization and improves their engagement.

[0127] The embodiments described above are illustrative examples for explaining the disclosed technology, and the disclosed technology is not intended to be used in its embodiments. This is not intended to limit the scope to only a limited number of applications, but rather to allow for various modifications of the disclosed technology, as long as they do not deviate from its essence. It is possible. Furthermore, the processing on the server side and the user's processing unit can be appropriately integrated, or the other side can be integrated. You may transfer the processing to another device or to a different device. [Explanation of Symbols]

[0128] 1... Information processing system, 10... Server, 20... Processing unit, 110... Processor, 130... Memory device, 111...Service provision unit, 112...Conversation control unit, 113...Acquisition unit, 114...Rapid 115…Output section, 116…Analysis section, 117…Functional section, 210…Processor, 211 ...Service processing unit, 212...Communication control unit, 213...Display control unit, 214...Operation control unit, 2 30...Storage device, 251...Display

Claims

1. Information processing device, To provide conversational AI processing on the user's terminal. Through the conversation regarding the business report by the aforementioned conversational AI processing, the user's business report To obtain conversation data, Based on the aforementioned conversation data, generate the user's business report data. Output the aforementioned business report data to the administrator terminal used by the administrator of the aforementioned user. An information processing method that performs the following.

2. The aforementioned information processing device By analyzing the aforementioned conversation data, issues related to the user or the organization to which the user belongs are extracted. Further execution of the release, The output mentioned above is, The information processing according to claim 1, which includes outputting the extracted issues to the administrator terminal. method.

3. The above generation is, To collect business report data from each user, Based on the collected business report data, specific report contents that meet predetermined criteria are extracted. and, The extracted specific report content is made selectable by the administrator to generate the business report data. The information processing method according to claim 1, including the act of accomplishing.

4. The output mentioned above is, The request includes reporting the aforementioned business report data to the administrator using conversational AI processing. The information processing method described in any one of the requests 1 to 3.

5. The aforementioned information processing device When reporting the aforementioned business report data, the conversational AI processing is used to communicate with the administrator. The information processing method according to claim 4, further comprising the action of acquiring data.

6. The aforementioned information processing device Based on the aforementioned conversation data, personality aptitude assessment, character assessment, and emotional intelligence (EQ) assessment are performed. Further request: Conduct an analysis of personality that includes at least one of the following The information processing method described in item 1.

7. The aforementioned information processing device The content of the conversation generated by the conversational AI processing is changed according to the diagnosed personality. The information processing method according to claim 6, further comprising the action of doing the above.

8. To obtain the above means, This includes obtaining facial expression data of the user during the conversation, The above analysis is, The information processing according to claim 6, which includes analyzing the user's emotions from the facial expression data. method.

9. To obtain the above means, The data set in the calendar function used by the aforementioned user, and the data entered via the chat function. Data, and / or rule data managed by the organization to which the user belongs, labor management This includes acquiring internal data, including document data containing management data or employee data. 、 The provision described above means, Claim 1 includes having the conversational AI process engage in conversation based on the aforementioned internal data. The information processing method described.

10. The aforementioned information processing device The aforementioned business report data and internal company data for each user are stored in the storage unit. Based on the business report data and / or internal company data stored in the storage unit, The information processing method according to claim 9, further comprising performing AI processing corresponding to a function.

11. Performing the aforementioned AI processing is If the aforementioned predetermined function includes an evaluation function, then based on the aforementioned business report data and the aforementioned internal data, This involves setting goals for the work of designated users, or evaluating the work of designated users. The information processing method according to claim 10, further comprising performing AI processing to that effect.

12. Performing the aforementioned AI processing is If the aforementioned specified function includes an adoption function, then based on the aforementioned business report data and the aforementioned internal data, The information according to claim 10, which includes performing AI processing to ask questions to the job candidate. Processing method.

13. Performing the aforementioned AI processing is If the aforementioned specified function includes a guidance function, it will provide onboarding guidance or labor-related information based on the aforementioned internal data. Information processing according to claim 10, including performing AI processing to provide a response to a combination. method.

14. Performing the aforementioned AI processing is If the aforementioned specified function includes a verification function, based on the aforementioned internal data, it may verify employment history or resignation. The information processing method according to claim 10, further comprising performing AI processing to verify the reason.

15. Performing the aforementioned AI processing is If the aforementioned specified function includes a consultation function, then based on the aforementioned internal data, the consultation function will be used to receive messages from each user. Claim 10 includes performing AI processing to provide consultation on tal health or career. Information processing methods.

16. In an information processing device, To provide conversational AI processing on the user's terminal. Through the conversation regarding the business report by the aforementioned conversational AI processing, the user's business report To obtain conversation data, Based on the aforementioned conversation data, generate the user's business report data. Output the aforementioned business report data to the administrator terminal used by the administrator of the aforementioned user. A program that executes the command.

17. An information processing device having a processor, The aforementioned processor, To provide conversational AI processing on the user's terminal. Through the conversation regarding the business report by the aforementioned conversational AI processing, the user's business report To obtain conversation data, Based on the aforementioned conversation data, generate the user's business report data. Output the aforementioned business report data to the administrator terminal used by the administrator of the aforementioned user. An information processing device that performs the following actions.

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