system

Abstract

Provide a system. [Solution] means for analyzing user-entered text using natural language processing; means for detecting specific keywords from the analyzed text; means for determining and executing appropriate processing procedures based on the detected keywords; As an appropriate procedure, when there is an entry regarding power harassment, there is a means to automatically link to the company's internal reporting system to report the concern, When there is an input regarding a business strain, a means to carry out an inventory of business operations and request help from related departments, means for notifying a user of the processing status; A system including:

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In today's work environment, problems such as power harassment and overwork have become commonplace, making employee mental health a critical issue. However, there is a lack of systems that allow employees to appropriately report these problems and quickly resolve them. This has led to problems such as increased employee stress and reduced work efficiency. The present invention aims to solve these problems by providing a system that allows employees to easily report their concerns, automatically executes appropriate processing procedures based on the information, and quickly resolves them. [Means for solving the problem]

[0005] The present invention provides a system that includes a means for analyzing text entered by a user using natural language processing, a means for detecting specific keywords from the analyzed text, and a means for determining and executing appropriate processing procedures based on the detected keywords. Furthermore, as appropriate processing procedures, the system includes a means for automatically linking to an internal reporting system to report the problem when an input is made regarding power harassment, and a means for performing a work inventory and requesting help from the relevant department when an input is made regarding a work shortage. Additionally, by including a means for notifying the user of the processing status, the user can confirm how their problem is being resolved and can concentrate on their work with peace of mind. The system also includes a means for automatically executing additional procedures based on feedback from the internal reporting system and a means for monitoring the progress of assigned help and providing feedback to the user. This makes it possible to provide a system that provides prompt and appropriate employee mental care.

[0006] "User" refers to an individual who uses the system to input their concerns or problems.

[0007] "Text" refers to character string information entered by a user into the system.

[0008] "Natural language processing" refers to the technology that enables computers to analyze and understand human language.

[0009] "Analyzing" means structurally breaking down text information and extracting meaning and keywords.

[0010] "Keywords" refer to important words or phrases that have a specific meaning in text analysis.

[0011] "Detect" means finding specific information or keywords.

[0012] A "procedure" refers to a series of steps taken to implement a specific solution to a user's concerns or problems.

[0013] A "reporting system" refers to an information system for reporting problems and concerns within the company and taking measures to resolve them.

[0014] "Taking stock of work" means organizing the current work content and its progress, and conducting an analysis to improve efficiency and reduce workload.

[0015] "Related departments" refers to other departments or groups involved in the work or problem resolution.

[0016] "Requesting help" means asking other departments or individuals for assistance or cooperation in your work.

[0017] "Notifying" means informing the user of some information.

[0018] "Feedback" refers to the response or reaction received from a system or other parties.

[0019] A "procedure" refers to the steps or actions required to achieve a particular objective.

[0020] "Monitoring" means continuously observing specific actions or progress to understand the situation.

[0021] This helps clarify the meaning of important words included in the claims. [Brief explanation of the drawings]

[0022] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4]FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0023] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0024] First, the terms used in the following description will be explained.

[0025] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0026] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0027] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0028] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0029] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0030] [First embodiment]

[0031] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0032] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0033] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0034] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0035] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0036] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0037] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0038] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0039] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0040] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0041] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0042] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0043] This invention provides a system that analyzes text entered by users and automates appropriate processing procedures based on specific keywords. The purpose of this is to quickly and efficiently resolve users' concerns and problems. This system is composed of three parties: a server, a terminal, and a user.

[0044] 1. System Configuration

[0045] User Action:

[0046] 1. Users enter their concerns or problems into the system in text format.

[0047] 2. The terminal sends the user's input to the server.

[0048] Server Analysis:

[0049] 3. The server analyzes the received text data using natural language processing (NLP) technology.

[0050] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "pressured work."

[0051] 5. Based on the detected keywords, the server determines the appropriate processing procedure and begins executing it.

[0052] Specifically, the following cases are possible:

[0053] Procedures for handling cases of power harassment:

[0054] 1. If the server detects the keyword "power harassment," it will automatically connect to the company's internal reporting system.

[0055] 2. Report the details of the user's problem to the reporting system and instruct them on the appropriate countermeasure procedures.

[0056] 3. Receive feedback from the reporting system and automatically implement further procedures if necessary.

[0057] 4. The server notifies the user of the processing status and results.

[0058] Process during times of business pressure:

[0059] 1. If the server detects the keyword "business is tight," it issues an instruction to perform a business inventory.

[0060] 2. The server analyzes the list of tasks and determines the workload.

[0061] 3. The server requests help from the relevant departments and monitors the progress.

[0062] 4. The server notifies the user of the processing status and results.

[0063] User Notice:

[0064] After the server has completed all the processing, it will notify the user and let them know how the problem has been resolved.

[0065] To give a concrete example:

[0066] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and connect it to the company's reporting system. Then, based on feedback from the hotline, the server will take the necessary steps (such as expelling the boss) and notify the user.

[0067] In another case, if a user inputs "I'm in trouble because my workload is tight," the server will detect the keyword "work is tight," conduct a workload inventory, and request help from the relevant departments. This will reduce the user's workload and notify them of the results of appropriate assistance.

[0068] The system of the present invention automates these processes and responds quickly to users' concerns and problems, thereby protecting employees' mental health and improving work efficiency.

[0069] The processing flow will be explained below.

[0070] Steps to take if you are in trouble with a boss who is abusive

[0071] Step 1:

[0072] The user enters into the system, "I'm having trouble with my boss who is abusive."

[0073] Step 2:

[0074] The terminal sends the user's input to the server.

[0075] Step 3:

[0076] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0077] Specifically, the input text is tokenized and the keyword "power harassment" is detected.

[0078] Step 4:

[0079] The server determines the appropriate action to take based on the keyword "power harassment."

[0080] Step 5:

[0081] The server automatically connects to the company's internal reporting system.

[0082] The details of the problem obtained from the user are sent to a reporting system.

[0083] Step 6:

[0084] The reporting system receives reports and instructs on the necessary countermeasure procedures.

[0085] Step 7:

[0086] The server waits for feedback from the notification system and receives the results.

[0087] For example, you may receive feedback such as "The decision has been made to expel the superior."

[0088] Step 8:

[0089] The server will automatically perform any additional steps required.

[0090] Specifically, they will prepare the necessary paperwork and carry out the approval process for removing a superior.

[0091] Step 9:

[0092] The server sends notifications to the user to inform them of the status of the process.

[0093] Steps to take when business is tight

[0094] Step 1:

[0095] The user inputs "business is tight" into the system.

[0096] Step 2:

[0097] The terminal sends the user's input to the server.

[0098] Step 3:

[0099] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0100] Specifically, the input text is tokenized and the keyword "business is tight" is detected.

[0101] Step 4:

[0102] The server determines the appropriate action to take based on the keyword "business is under pressure."

[0103] Step 5:

[0104] The server issues instructions to perform the business inventory.

[0105] Extract a list of tasks and analyze the workload of each task.

[0106] Step 6:

[0107] The server will ask the relevant department for help.

[0108] Specifically, the necessary help content is listed and distributed to the relevant departments.

[0109] Step 7:

[0110] The server monitors the progress of the assignment help.

[0111] For example, track the response status of each department and check progress.

[0112] Step 8:

[0113] The server sends notifications to the user to inform them of the status of the process.

[0114] In this way, specific operations are performed at each processing step, and a prompt and appropriate response is implemented to the user's concerns and problems.

[0115] Example 1

[0116] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0117] Responding quickly and efficiently to employee concerns and workloads is important for maintaining organizational productivity and employee mental health. However, when an employee reports harassment to their supervisor or when the workload is heavy, appropriate action is often delayed. This situation can further exacerbate the problem and lower employee morale. Therefore, the present invention aims to provide a system that quickly responds to concerns and problems entered by users and guides them to appropriate procedures, thereby improving employee mental health and work efficiency.

[0118] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0119] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, and means for determining and executing appropriate processing procedures based on the detected keywords. This enables appropriate processing procedures to be automatically executed for problems or concerns entered by employees. Furthermore, the server includes means for automatically linking with an internal reporting system to report a problem when an input related to harassment is made based on the detected keywords, means for performing a work inventory and requesting support from relevant departments when an input related to workload is made, and means for notifying the user of the processing status. This ensures that user concerns and problems are addressed promptly and appropriately. Furthermore, the server also includes means for automatically executing additional procedures based on feedback from the internal reporting system and means for monitoring the support status for processing procedures based on keywords detected from the user's input and providing feedback to the user, thereby improving the accuracy and effectiveness of problem resolution.

[0120] "User" refers to an individual or member of an organization who uses the system.

[0121] "Text" refers to sentences or character strings entered by the user.

[0122] "Natural language processing" refers to the technology of analyzing digital text data and understanding and interpreting human language.

[0123] "Keywords" refer to words or phrases extracted from the analyzed text that serve as the basis for specific processing or judgment.

[0124] "Procedure" refers to a series of operations or procedures that are automatically performed based on detected keywords.

[0125] "Harassment" refers to bullying or other acts of harassment in the workplace or within an organization.

[0126] "Reporting system" refers to a system for reporting misconduct or problems within an organization.

[0127] "Workload" refers to a situation in which the workload exceeds a certain limit and places an excessive burden on employees.

[0128] "Inventory" refers to the process of organizing business operations and resources and understanding the current situation.

[0129] "Support" refers to other departments and employees cooperating and supporting specific issues or tasks.

[0130] "Feedback" refers to providing information about the outcome and progress of a processing procedure.

[0131] "Monitoring" refers to the continuous observation of the progress of a particular task or process.

[0132] This invention provides a system that analyzes text entered by a user and automates appropriate processing procedures based on specific keywords. This system is composed of three entities: a server, a terminal, and a user.

[0133] User Action:

[0134] Users enter their worries and problems into the system in text format. This text is entered into an input form on the terminal, and the contents proceed to the next step by pressing the send button.

[0135] Terminal behavior:

[0136] The device sends the text entered by the user to the server using an HTTP POST request. The device waits for the text data before sending it and confirms that the transmission is complete.

[0137] Server Analysis:

[0138] The server performs natural language processing (NLP) on the received text data. Specifically, it analyzes the text using services such as Google® Cloud Natural Language API. During the analysis process, the server extracts the grammar, meaning, and sentiment of the text, and detects specific keywords based on the analysis results.

[0139] Keyword detection:

[0140] The server detects specific keywords from the analysis results. In this step, it matches the text with a list of keywords (e.g., "harassment," "workload," etc.).

[0141] Determining and implementing appropriate processing procedures:

[0142] The server determines the appropriate handling procedure based on the detected keyword and begins to implement it. For example, if the keyword "harassment" is detected, the server automatically connects to the organization's reporting system and reports the details of the problem. If the keyword "workload" is detected, the server will perform an inventory of work and request assistance from the relevant department. This allows users' concerns and problems to be handled quickly and efficiently.

[0143] User Notice:

[0144] After all processing is complete, the server notifies the user of the processing results via email or an internal messenger (such as Slack or MICROSOFT (registered trademark) TEAMS (registered trademark)).

[0145] As a specific example, if a user types "I've been having trouble with harassment from my boss lately," the server will detect the keyword "harassment" and connect to the organization's reporting system. The server then takes the necessary steps based on feedback from the reporting system and notifies the user. In another case, if a user types "I'm having trouble with my workload," the server will detect the keyword "workload," conduct a workload inventory, and request assistance from the relevant department. In this way, the user's workload can be reduced and the server will notify them of the results of appropriate assistance.

[0146] Example prompt sentence:

[0147] "My boss is harassing me and I want to know what to do about it."

[0148] "Recently, my workload has increased and I'm struggling to keep up. I'd like to ask for help."

[0149] The system analyzes user input and resolves issues quickly and appropriately, protecting employees' mental health and improving work efficiency.

[0150] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0151] Step 1:

[0152] The user inputs their worries or problems into the device in text format. For example, the user might input, "Recently, I've been having trouble with harassment from my boss." The device prepares the input text for transmission. The input is the user's text data, and the output is the storage of the text data within the device.

[0153] Step 2:

[0154] The terminal sends the text entered by the user to the server via an HTTP POST request. The terminal displays a message to notify the user that the transmission is complete. The input is the text data stored in step 1, and the output is the text data sent to the server.

[0155] Step 3:

[0156] The server stores the received text data and prepares it for analysis. The server generates a confirmation log stating, "Text data has been received." The input is the text data sent from the terminal, and the output is the text data stored in the server and the confirmation log.

[0157] Step 4:

[0158] The server starts natural language processing (NLP) on the received text data. Specifically, it calls the Google Cloud Natural Language API to perform analysis. The server records a log message saying "Starting analysis" and sends the analysis results to the next step. The input is the text data stored on the server, and the output is the analysis results of the text data.

[0159] Step 5:

[0160] The server detects specific keywords from the analysis results, extracts keywords such as "harassment" from the analyzed text, and generates a log stating "XX keyword was detected." The input is the analysis results, and the output is the detected keywords and the detection log.

[0161] Step 6:

[0162] The server determines the appropriate processing procedure based on the detected keyword and begins executing it. For example, if "harassment" is detected, it calls the reporting system API and generates a log stating "We will connect to the internal reporting system." The input is the detected keyword, and the output is the data sent to the reporting system and the processing log.

[0163] Step 7:

[0164] The server receives feedback from the notification system. The server records a log saying "Feedback from the notification system has been received" and automatically executes further procedures as necessary. The input is the feedback data from the notification system, and the output is a log of the additional procedures that were automatically executed.

[0165] Step 8:

[0166] After all processing is complete, the server notifies the user of the processing results. The server sends the results via email or internal messenger and generates a log stating "A result notification email has been sent." The input is the processing result data, and the output is the notification sent to the user and the notification log.

[0167] This allows the system to respond quickly and efficiently to users' concerns and problems.

[0168] (Application example 1)

[0169] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0170] This invention relates to a system that quickly and efficiently solves worries and problems entered by users in text format. In particular, this system addresses not only workplace harassment and work pressure, but also security-related issues. The objectives of this system are to protect employees' mental health, improve work efficiency, and strengthen information security.

[0171] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0172] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, and means for determining and executing appropriate processing procedures based on the detected keywords. This makes it possible to quickly respond to user concerns and problems, and to not only deal with power harassment and work pressures, but also to perform security checks to strengthen email filters when security-related input is made.

[0173] "Text" is information in the form of a string entered by the user.

[0174] "Natural language processing" is a technology that allows computers to understand and analyze human language.

[0175] "Keywords" are significant words or phrases extracted from the analyzed text.

[0176] A "procedure" is a series of actions the system takes based on detected keywords.

[0177] "Power harassment" is a type of harassment based on power relationships in the workplace.

[0178] A "reporting system" is a system for reporting internal problems and providing solutions.

[0179] "Work pressure" refers to a situation in which work is overly concentrated and employees feel overwhelmed.

[0180] "Inventory" is the process of organizing and understanding the current business situation.

[0181] "Requesting help" means asking for assistance from relevant departments.

[0182] A "security check" is a process for verifying the safety of information and systems.

[0183] An "email filter" is a system that classifies or blocks incoming emails based on specific criteria.

[0184] "Notification" is a message that notifies the user of the processing status or results.

[0185] The system of the present invention analyzes text entered by a user using natural language processing technology and automatically executes appropriate processing procedures based on specific keywords. This system is composed of three parties: a server, a terminal, and a user, and operates in the following manner.

[0186] First, the user enters their worries or problems into the device in text format. The device then sends this text data to the server. The server then analyzes the received text using natural language processing (NLP) to detect specific keywords. The NLP technology used includes spaCy's Japanese model, which can analyze Japanese.

[0187] When the server detects a specific keyword from the analyzed text, it determines and executes the appropriate processing procedure based on that keyword. For example, if the keyword "power harassment" is detected, the server will connect to the internal reporting system and execute a process to report the user's concerns. If the keyword "work pressure" is detected, the server will instruct an inventory of work and execute a process to request help from the relevant department. Furthermore, if the keyword "suspicious email" is detected, the server will execute a security check and take measures to strengthen the email filter.

[0188] The server notifies the user of the progress and results of the processing procedure, and the notifications are sent to the terminal used by the user so that the user can easily check them.

[0189] Specific examples

[0190] For example, if a user types "I've been receiving an increasing number of suspicious emails lately," the device sends this text data to the server. The server uses NLP technology to analyze the text data and detects the keyword "suspicious email." The server then performs a security check and compares it with lists of spam and phishing email addresses. After appropriate measures are taken, the server notifies the user of the results of the processing. This notification may include content such as "Suspicious emails have been identified and the email filter has been strengthened."

[0191] Prompt Sentence Examples

[0192] If a user types "I've been receiving more and more suspicious emails lately," the text will be recognized as containing the keyword "suspicious email," and a security check will be performed recommending strengthening email filters.

[0193] Example prompt:

[0194] A user types in, "I've been receiving more and more suspicious emails lately." In this case, what measures would be appropriate?

[0195] By using these specific examples and example prompts as a reference, the system can automatically provide a quick and appropriate response to the user's concerns and problems.

[0196] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0197] Step 1:

[0198] The user inputs text data. The user inputs their worries or problems in natural language and sends it to the terminal. For example, the input might be the text "I've been receiving an increasing number of suspicious emails recently."

[0199] Step 2:

[0200] The terminal sends the entered text data to the server. The data sent is the text exactly as entered by the user.

[0201] Step 3:

[0202] The server analyzes the received text data using natural language processing (NLP). The server uses spaCy's Japanese model to perform morphological analysis of the text data and extract keywords. The input data is text, and the output data is the extracted keywords.

[0203] Step 4:

[0204] The server determines the processing procedure based on the extracted keywords. For example, if the keyword "suspicious email" is included, it decides to perform a security check. This decision is based on the detected keywords.

[0205] Step 5:

[0206] The server performs a security check, which involves comparing the email with spam and phishing email lists to assess risk. The input data is the detected keywords and the user's input text, and the output data is the result of the security check.

[0207] Step 6:

[0208] The server notifies the user of the processing results. The notification may say something like, "Suspicious emails have been identified and the email filter has been strengthened." The notification is sent to the user's device. The input data is the result of the processing procedure, and the output data is the notification sent to the user.

[0209] Step 7:

[0210] The user receives a notification. The user checks the notification through the terminal and understands that the problem has been resolved. The output of this processing step is a notification to the user.

[0211] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0212] This invention provides a system for achieving more advanced mental care by combining a system that analyzes text entered by a user and automates appropriate procedures based on specific keywords with an emotion engine that recognizes the user's emotions. Specifically, the system aims to analyze the user's input text and emotional information, execute optimal procedures, and quickly and effectively solve problems. This system is composed of three entities: a server, a terminal, and a user.

[0213] 1. System Configuration

[0214] User Action:

[0215] 1. Users enter their concerns or problems into the system in text format.

[0216] 2. The terminal sends the user's input to the server.

[0217] Server Analysis:

[0218] 3. The server analyzes the received text data using natural language processing (NLP) technology.

[0219] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "pressured work."

[0220] Emotion Engine Operation:

[0221] 5. The server uses the emotion engine to recognize the user's emotion information from the text.

[0222] The emotion engine identifies the emotion of the input text and detects emotions such as "stress" or "anxiety."

[0223] Decision on processing procedures:

[0224] 6. The server determines the appropriate processing procedure based on specific keywords and emotional information.

[0225] Procedures for handling cases of power harassment:

[0226] 1. The server automatically connects to the company's internal reporting system based on the keyword "power harassment" and the emotional information of "high stress level."

[0227] 2. Report details of the user's concerns and emotional information to the reporting system and instruct appropriate countermeasure procedures.

[0228] 3. Receive feedback from the reporting system and automatically implement further procedures if necessary.

[0229] 4. The server notifies the user of the processing status and results.

[0230] Process during times of business pressure:

[0231] 1. The server issues instructions to carry out a work inventory based on the keyword "work pressure" and the emotional information "anxiety."

[0232] 2. The server analyzes the list of tasks and determines the workload.

[0233] 3. The server requests help from the relevant departments and monitors the progress.

[0234] 4. The server notifies the user of the processing status and results.

[0235] User Notice:

[0236] After the server has completed all the processing, it will notify the user and let them know how the problem has been resolved.

[0237] Counseling Offerings:

[0238] 1. The server suggests appropriate counseling and mental support to the user based on emotional information.

[0239] For example, we can help you make an appointment with a professional counselor or provide you with relaxation techniques.

[0240] To give a concrete example:

[0241] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and the emotion of "high stress level." Based on this information, the server contacts the company's reporting system, takes the necessary steps (such as expelling the boss) based on the feedback, and notifies the user. At the same time, it suggests providing appropriate counseling for the user's high stress level.

[0242] In another case, if a user inputs "I'm having trouble because my work is getting too tight," the server will detect the keyword "work is getting too tight" and the emotion of "anxiety." Based on this information, the server will conduct a work inventory and request help from the relevant departments. This will reduce the user's workload and notify them of the results of appropriate assistance. At the same time, it will suggest mental support, such as relaxation techniques, to alleviate the user's anxiety.

[0243] The system of the present invention automates these processes and provides quick and appropriate responses to users' concerns and problems, thereby protecting the mental health of employees and improving work efficiency.

[0244] The processing flow will be explained below.

[0245] Processing steps of a system that combines emotion engines

[0246] If you are having trouble with a boss who is abusive

[0247] Step 1:

[0248] The user enters into the system, "I'm having trouble with my boss who is abusive."

[0249] Step 2:

[0250] The terminal sends the user's input to the server.

[0251] Step 3:

[0252] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0253] The input text is tokenized and the keyword "power harassment" is detected.

[0254] Step 4:

[0255] The server uses an emotion engine to recognize emotions from the input text.

[0256] The emotion engine detects emotions such as "high stress levels."

[0257] Step 5:

[0258] The server determines the appropriate course of action based on the keywords "power harassment" and "high stress level."

[0259] Step 6:

[0260] The server automatically connects to the company's internal reporting system.

[0261] The details of the trouble and emotional information obtained from the user are sent to a reporting system.

[0262] Step 7:

[0263] The reporting system receives reports and instructs on the necessary countermeasure procedures.

[0264] Step 8:

[0265] The server waits for feedback from the notification system and receives the results.

[0266] For example, you may receive feedback such as "The decision has been made to expel the superior."

[0267] Step 9:

[0268] The server will automatically perform any additional steps required.

[0269] Complete the necessary paperwork and approval process for the removal of a superior.

[0270] Step 10:

[0271] The server sends notifications to the user to inform them of the status of the process.

[0272] Step 11:

[0273] The server provides appropriate counseling and mental support based on emotional information.

[0274] For example, they might offer relaxation techniques or suggest scheduling an appointment with a professional counselor.

[0275] When business is tight

[0276] Step 1:

[0277] The user inputs "business is tight" into the system.

[0278] Step 2:

[0279] The terminal sends the user's input to the server.

[0280] Step 3:

[0281] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0282] The input text is tokenized to detect the keyword "business is tight."

[0283] Step 4:

[0284] The server uses an emotion engine to recognize emotions from the input text.

[0285] The emotion engine detects emotions such as "anxiety."

[0286] Step 5:

[0287] The server determines the appropriate course of action based on the keywords "business is tight" and "anxiety."

[0288] Step 6:

[0289] The server issues instructions to perform the business inventory.

[0290] Extract a list of tasks and analyze the workload.

[0291] Step 7:

[0292] The server will ask the relevant department for help.

[0293] Create a list of help requests and distribute it to the relevant departments.

[0294] Step 8:

[0295] The server monitors the progress of the assignment help.

[0296] Track the progress of each department and monitor progress.

[0297] Step 9:

[0298] The server sends notifications to the user to inform them of the status of the process.

[0299] Step 10:

[0300] The server provides appropriate counseling and support based on the emotional information.

[0301] For example, providing stress reduction measures and mental health resources.

[0302] In this way, the system of the present invention analyzes user input, including emotional information, and automatically takes prompt and appropriate action, thereby making it possible to effectively improve the user's mental health.

[0303] Example 2

[0304] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0305] In conventional consultation systems, it was difficult to automatically determine and execute appropriate procedures when users entered their worries or problems. Furthermore, mental care that took into account the user's emotional information was not provided, making it difficult to resolve problems quickly and effectively. As a result, users' mental health was not adequately protected, and work efficiency sometimes declined.

[0306] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0307] In this invention, the server includes a means for analyzing text entered by a user using natural language processing, a means for detecting specific keywords from the analyzed text, and a means for determining and executing appropriate processing procedures based on the detected keywords and emotional information from an emotion engine. This enables prompt and appropriate responses to users' concerns and problems and provides mental care. Furthermore, if an input is made regarding power harassment, the system automatically connects to an internal reporting system to report the concern, and if an input is made regarding a work shortage, the system can perform a work inventory and request help from the relevant department. Furthermore, the system can notify users of the processing status and suggest counseling or mental support, thereby protecting employees' mental health and improving work efficiency.

[0308] A "user" is a person who inputs worries or problems into the system in text format.

[0309] "Natural language processing" is a technology that allows computers to understand, interpret, and generate human language.

[0310] "Text analysis" is the process of segmenting, classifying, and understanding input text.

[0311] "Keywords" are important words or phrases in text that trigger specific processing steps.

[0312] An "emotion engine" is a technology that identifies emotional information from input text and detects emotions such as stress and anxiety.

[0313] "Procedures" are specific countermeasures or actions taken based on specific keywords and emotional information.

[0314] The "reporting system" is an internal system for reporting internal issues such as power harassment and taking appropriate measures.

[0315] "Task inventory" is the process of analyzing the current task list and understanding the workload situation.

[0316] "Related departments" are other departments within the company that provide support for specific issues or tasks.

[0317] "Processing status notification" is a means of communication to inform the user of the progress and results of problem resolution.

[0318] "Counseling" is a service that provides psychological support and advice from professionals.

[0319] "Mental support" is a means of support to maintain and improve the user's mental health.

[0320] This invention is a system that analyzes text entered by a user and automates appropriate processing procedures based on specific keywords and emotional information. The system is composed of three entities: a server, a terminal, and a user. The specific operations and processing procedures for each are explained below.

[0321] System Configuration

[0322] This system aims to solve problems quickly and effectively by analyzing the text entered by the user using natural language processing (NLP) technology, recognizing emotional information using an emotion engine, and executing optimal processing procedures. This system uses the following hardware and software.

[0323] Hardware: Standard servers and end-user devices (e.g., PCs, smartphones)

[0324] Software: Python, NLTK library, IBM Watson® sentiment analysis API

[0325] System Operation

[0326] User Action:

[0327] 1. The user enters their worries or problems into the system in text format. For example, consider the case where the user enters "I'm having trouble with power harassment by my boss."

[0328] 2. The device sends the entered text to the server. Specifically, the device sends the text data to the server in JSON format using an HTTP request.

[0329] Server Analysis:

[0330] 3. The server analyzes the received text data using Python's NLTK library, tokenizes the text, and performs grammatical analysis.

[0331] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "work pressure," and compares them with a pre-defined list.

[0332] Emotion Engine Operation:

[0333] 5. The server uses an emotion engine (IBM Watson's emotion analysis API) to recognize the user's emotional information from the text and detect emotions such as "stress" or "anxiety."

[0334] 6. The server determines the appropriate processing procedure based on the detected keywords and emotion information and performs the automated processing.

[0335] Examples of appropriate actions:

[0336] In the case of power harassment:

[0337] Based on the keywords "power harassment" and "high stress level," the server automatically connects to the company's internal reporting system and reports details of the user's concerns and emotional information.

[0338] Based on feedback from the reporting system, any additional procedures required will be automatically carried out.

[0339] The server notifies the user of the processing status and results.

[0340] If business is tight:

[0341] Based on the keyword "work pressure" and the emotional information of "anxiety," the server performs an inventory of work and requests help from related departments.

[0342] Analyze the task list and understand the workload situation.

[0343] The server notifies the user of the processing status and results.

[0344] User Notice:

[0345] The server will notify the user after all processing is complete and let them know how the problem is resolved.

[0346] Counseling Offerings:

[0347] 1. The server suggests appropriate counseling or mental support to the user based on the emotional information, such as making an appointment with a professional counselor or suggesting relaxation techniques.

[0348] Prompt Sentence Examples

[0349] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and "high stress level." Based on this information, the server will automatically contact the company's internal reporting system, take the necessary steps, and notify the user. At the same time, it will suggest appropriate counseling for the user's high stress level. The following is an example of a prompt that can be entered:

[0350] Example prompt sentence:

[0351] Please explain the procedure for automatically contacting the internal reporting system and suggesting counseling if the employee enters "I am having trouble with my boss who is abusive" and the system determines that the employee has a "high stress level."

[0352] By automating these processes, the system can respond quickly and appropriately to users' concerns and problems, protect employees' mental health, and improve work efficiency.

[0353] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0354] Step 1:

[0355] The user enters their worries and problems in text format.

[0356] Input: Text entered by the user (e.g., "I'm having trouble with power harassment by my boss.")

[0357] Action: A user enters text using the system's interface.

[0358] Output: The input text data

[0359] Step 2:

[0360] The terminal transmits the entered text to the server.

[0361] Input: Text data entered in step 1

[0362] How it works: The device sends text data in JSON format to the server using an HTTP request.

[0363] Output: Text data sent to the server

[0364] Step 3:

[0365] The server analyzes the received text data using natural language processing (NLP) technology.

[0366] Input: Text data sent from the terminal

[0367] How it works: The server uses Python's NLTK library to tokenize the text and perform grammatical analysis.

[0368] Output: Parsed text data

[0369] Step 4:

[0370] The server detects specific keywords from the parsed text.

[0371] Input: Text data parsed in step 3

[0372] How it works: The server compares the analysis results with a pre-set list to detect keywords (e.g., "power harassment" or "work pressure").

[0373] Output: A list of detected keywords

[0374] Step 5:

[0375] The server uses an emotion engine to recognize emotion information from the text.

[0376] Input: Text data parsed in step 3

[0377] How it works: The server uses IBM Watson's sentiment analysis API to identify sentiment from text and obtain a sentiment score.

[0378] Output: Identified emotion information (e.g., "high stress level," "anxiety")

[0379] Step 6:

[0380] The server determines and executes appropriate processing procedures based on the detected keywords and emotion information.

[0381] Input: The list of keywords detected in step 4 and the sentiment information identified in step 5

[0382] How it works: Based on specific keywords and sentiment information, a rules-based algorithm is used to determine the appropriate course of action.

[0383] Output: Appropriate processing procedures (e.g., linking to the reporting system, instructions for business inventory)

[0384] Procedures for handling cases of power harassment

[0385] Step 7:

[0386] The server automatically connects to an internal reporting system to report concerns based on the keywords "power harassment" and "high stress level."

[0387] Input: Detected keyword "power harassment", emotional information "high stress level"

[0388] Operation: Calls the API of the reporting system and sends the user's concerns and emotional information as a POST request.

[0389] Output: Confirmation of report sent to reporting system

[0390] Step 8:

[0391] The server receives feedback from the notification system and automatically performs further procedures.

[0392] Input: Feedback from the reporting system

[0393] Action: Based on the feedback received, automatically take any necessary additional steps (e.g., change superior).

[0394] Output: Execution result of the additional procedure

[0395] Processing procedures when business is tight

[0396] Step 9:

[0397] The server issues instructions to carry out a business inventory based on the keyword "business is tight" and the emotional information of "anxiety."

[0398] Input: Detected keyword "Work pressure" and emotional information "Anxiety"

[0399] What it does: Takes a list of tasks and runs an algorithm to identify the most demanding tasks.

[0400] Output: Workload status assessment results

[0401] Step 10:

[0402] The server requests help from the relevant departments and monitors the progress.

[0403] Input: Workload status assessment results

[0404] Action: Send email notifications or requests to the relevant departments via the ticket system. Periodically check the status to see the progress.

[0405] Output: Help request status and progress

[0406] Step 11:

[0407] The server will notify the user after all processing is complete and let them know how the problem is resolved.

[0408] Input: Processing procedure results

[0409] Action: Sends email and / or in-app notifications to the user to inform them of the status and results of the operation.

[0410] Output: Notification to the user

[0411] Providing counseling

[0412] Step 12:

[0413] The server proposes appropriate counseling and mental support to the user based on the emotional information.

[0414] Input: Identified emotional information (e.g., "high stress level")

[0415] Operation: Based on the user's emotional information, the system proposes appropriate counseling and mental support. For example, it links to a counseling reservation system to schedule an appointment.

[0416] Output: Counseling and mental support suggestions

[0417] (Application example 2)

[0418] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0419] Today, many users are increasingly turning to online virtual stores for assistance with products and services. However, traditional customer support systems often fail to consider users' feelings, leaving them feeling dissatisfied and stressed. Furthermore, lack of timely and appropriate procedures can increase users' anxiety and frustration. Therefore, there is an urgent need for a system that can respond quickly and accurately while taking users' feelings into consideration.

[0420] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0421] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, means for determining and executing an appropriate procedure based on the detected keywords, means for reporting a concern in conjunction with the specific procedure as the appropriate procedure, means for executing a procedure to reduce work load and requesting necessary support, means for notifying the user of the processing status, means for recognizing the user's emotional information from the text using an emotion engine, and means for providing counseling or mental support based on the recognized emotional information. This makes it possible to understand the user's feelings and respond quickly and appropriately.

[0422] Write a definition for each of the following important words:

[0423] "User" refers to any individual or legal entity that uses the System.

[0424] "Text" refers to sentence data entered by the user.

[0425] "Natural language processing" is a general term for technologies that allow computers to understand, analyze, and generate human language.

[0426] "Analyzing" refers to the process of using specific algorithms on input data to extract, classify, and transform information.

[0427] "Keywords" are words or phrases in the analyzed text that have a particular meaning or importance.

[0428] "Emotion engine" refers to software or algorithms for recognizing and assigning emotional states from user-entered text.

[0429] A "procedure" is a set of operations or actions that a system performs based on specific inputs or circumstances.

[0430] "Automatic collaboration" refers to a system automatically exchanging information and interacting with other systems or services based on predefined conditions.

[0431] "Reporting system" refers to an internal or external infrastructure for reporting and responding to problems or anomalies.

[0432] "Work inventory" refers to the process of organizing and reevaluating current workloads and tasks.

[0433] "Asking for help" refers to asking for help or assistance with a specific problem or task.

[0434] "Notifying" refers to sending specific information or messages to a user.

[0435] "Counselling" refers to the provision of emotional and psychological support and advice.

[0436] "Mental support" refers to a variety of services and resources offered to support users' mental health.

[0437] This invention relates to a system that analyzes the content entered by the user in text format and automatically executes appropriate processing procedures. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, a system that provides more advanced mental care can be realized.

[0438] First, the user inputs their problems and worries in text format using a device such as a smartphone or head-mounted display, and sends it to the system. The device then sends this input text to the server in real time.

[0439] The server uses the Google Cloud Natural Language API to analyze the received text data using natural language processing technology. This analysis extracts specific keywords from the text, such as "returned product" or "item not received."

[0440] The server then uses the IBM Watson Emotional Analysis API to recognize the user's emotional information from the text. The emotion engine detects emotions such as "anxiety" or "irritation."

[0441] The server determines the appropriate processing procedure based on the detected keywords and emotional information. For example, if it detects the keyword "item not delivered" and the emotional emotion "anxiety," it will initiate a prompt delivery procedure for the item. It also provides counseling or mental support if necessary, depending on the emotional information recognized.

[0442] Regarding the counseling function, if the user is feeling very stressed, the system will suggest making an appointment with a professional counselor or suggest ways to relax based on emotional information.

[0443] The system will proceed with the processing based on the information entered by the user, constantly monitor the progress, and notify the user of the processing status in a timely manner.

[0444] The hardware used includes a smartphone and a head-mounted display, and the software includes the Google Cloud Natural Language API, IBM Watson Emotional Analysis API, WebSocket communication technology, and a Firebase database.

[0445] Specific examples of prompts include:

[0446] If the user enters text like this:

[0447] "I'm in trouble because my item hasn't arrived yet. I'm very worried."

[0448] In this case, the text is sent via WebSocket to a server that analyzes the text and sentiment using the Google Cloud Natural Language API and IBM Watson Emotional Analysis API, and based on the results, an appropriate response is automatically selected and notified to the user.

[0449] In this way, the present invention provides a system that understands the user's feelings and responds quickly and appropriately.

[0450] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0451] Step 1:

[0452] Users input their worries and problems in text format using devices such as smartphones or head-mounted displays. This text describes in detail the problems they are facing.

[0453] Input: User-entered text

[0454] Output: The input text data

[0455] Step 2:

[0456] The device sends the text entered by the user to the server in real time, using WebSocket for this data communication.

[0457] Input: User-entered text data

[0458] Output: Data sent to the server

[0459] Step 3:

[0460] The server analyzes the received text data using the Google Cloud Natural Language API, extracting specific keywords (e.g., "item not received" or "returned product") from the text.

[0461] Input: User-entered text data

[0462] Output: Extracted keywords

[0463] Step 4:

[0464] The server uses the IBM Watson Emotional Analysis API to recognize the user's emotional information from the text. The emotion engine detects emotions such as "anxiety" and "irritation."

[0465] Input: User-entered text data

[0466] Output: Recognized emotion information

[0467] Step 5:

[0468] The server determines the appropriate procedure based on the detected keywords and emotion information. For example, if the keyword "item not delivered" and the emotion "anxiety" are detected, the server will initiate a prompt delivery procedure for the item.

[0469] Input: extracted keywords and recognized emotion information

[0470] Output: Judgment result of appropriate processing procedure

[0471] Step 6:

[0472] The server will also provide counseling and mental support if needed. For example, if it detects high levels of stress, it will book an appointment with a professional counselor or suggest ways to relax.

[0473] Input: Recognized emotion information

[0474] Output: Proposal to provide counseling or mental support

[0475] Step 7:

[0476] The server processes the transaction based on the information entered by the user and constantly monitors its progress.

[0477] Input: Processing procedure decision result

[0478] Output: Progress monitoring data

[0479] Step 8:

[0480] The server notifies the user of the progress of the processing procedure in a timely manner, allowing the user to grasp the current status in real time.

[0481] Input: Progress monitoring data

[0482] Output: A message to inform the user

[0483] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0484] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0485] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0486] [Second embodiment]

[0487] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0488] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0489] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0490] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0491] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0492] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0493] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0494] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0495] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0496] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0497] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0498] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0499] This invention provides a system that analyzes text entered by users and automates appropriate processing procedures based on specific keywords. The purpose of this is to quickly and efficiently resolve users' concerns and problems. This system is composed of three parties: a server, a terminal, and a user.

[0500] 1. System Configuration

[0501] User Action:

[0502] 1. Users enter their concerns or problems into the system in text format.

[0503] 2. The terminal sends the user's input to the server.

[0504] Server Analysis:

[0505] 3. The server analyzes the received text data using natural language processing (NLP) technology.

[0506] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "pressured work."

[0507] 5. Based on the detected keywords, the server determines the appropriate processing procedure and begins executing it.

[0508] Specifically, the following cases are possible:

[0509] Procedures for handling cases of power harassment:

[0510] 1. If the server detects the keyword "power harassment," it will automatically connect to the company's internal reporting system.

[0511] 2. Report the details of the user's problem to the reporting system and instruct them on the appropriate countermeasure procedures.

[0512] 3. Receive feedback from the reporting system and automatically implement further procedures if necessary.

[0513] 4. The server notifies the user of the processing status and results.

[0514] Process during times of business pressure:

[0515] 1. If the server detects the keyword "business is tight," it issues an instruction to perform a business inventory.

[0516] 2. The server analyzes the list of tasks and determines the workload.

[0517] 3. The server requests help from the relevant departments and monitors the progress.

[0518] 4. The server notifies the user of the processing status and results.

[0519] User Notice:

[0520] After the server has completed all the processing, it will notify the user and let them know how the problem has been resolved.

[0521] To give a concrete example:

[0522] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and connect it to the company's reporting system. Then, based on feedback from the hotline, the server will take the necessary steps (such as expelling the boss) and notify the user.

[0523] In another case, if a user inputs "I'm in trouble because my workload is tight," the server will detect the keyword "work is tight," conduct a workload inventory, and request help from the relevant departments. This will reduce the user's workload and notify them of the results of appropriate assistance.

[0524] The system of the present invention automates these processes and responds quickly to users' concerns and problems, thereby protecting employees' mental health and improving work efficiency.

[0525] The processing flow will be explained below.

[0526] Steps to take if you are in trouble with a boss who is abusive

[0527] Step 1:

[0528] The user enters into the system, "I'm having trouble with my boss who is abusive."

[0529] Step 2:

[0530] The terminal sends the user's input to the server.

[0531] Step 3:

[0532] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0533] Specifically, the input text is tokenized and the keyword "power harassment" is detected.

[0534] Step 4:

[0535] The server determines the appropriate action to take based on the keyword "power harassment."

[0536] Step 5:

[0537] The server automatically connects to the company's internal reporting system.

[0538] The details of the problem obtained from the user are sent to a reporting system.

[0539] Step 6:

[0540] The reporting system receives reports and instructs on the necessary countermeasure procedures.

[0541] Step 7:

[0542] The server waits for feedback from the notification system and receives the results.

[0543] For example, you may receive feedback such as "The decision has been made to expel the superior."

[0544] Step 8:

[0545] The server will automatically perform any additional steps required.

[0546] Specifically, they will prepare the necessary paperwork and carry out the approval process for removing a superior.

[0547] Step 9:

[0548] The server sends notifications to the user to inform them of the status of the process.

[0549] Steps to take when business is tight

[0550] Step 1:

[0551] The user inputs "business is tight" into the system.

[0552] Step 2:

[0553] The terminal sends the user's input to the server.

[0554] Step 3:

[0555] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0556] Specifically, the input text is tokenized and the keyword "business is tight" is detected.

[0557] Step 4:

[0558] The server determines the appropriate action to take based on the keyword "business is under pressure."

[0559] Step 5:

[0560] The server issues instructions to perform the business inventory.

[0561] Extract a list of tasks and analyze the workload of each task.

[0562] Step 6:

[0563] The server will ask the relevant department for help.

[0564] Specifically, the necessary help content is listed and distributed to the relevant departments.

[0565] Step 7:

[0566] The server monitors the progress of the assignment help.

[0567] For example, track the response status of each department and check progress.

[0568] Step 8:

[0569] The server sends notifications to the user to inform them of the status of the process.

[0570] In this way, specific operations are performed at each processing step, and a prompt and appropriate response is implemented to the user's concerns and problems.

[0571] Example 1

[0572] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0573] Responding quickly and efficiently to employee concerns and workloads is important for maintaining organizational productivity and employee mental health. However, when an employee reports harassment to their supervisor or when the workload is heavy, appropriate action is often delayed. This situation can further exacerbate the problem and lower employee morale. Therefore, the present invention aims to provide a system that quickly responds to concerns and problems entered by users and guides them to appropriate procedures, thereby improving employee mental health and work efficiency.

[0574] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0575] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, and means for determining and executing appropriate processing procedures based on the detected keywords. This enables appropriate processing procedures to be automatically executed for problems or concerns entered by employees. Furthermore, the server includes means for automatically linking with an internal reporting system to report a problem when an input related to harassment is made based on the detected keywords, means for performing a work inventory and requesting support from relevant departments when an input related to workload is made, and means for notifying the user of the processing status. This ensures that user concerns and problems are addressed promptly and appropriately. Furthermore, the server also includes means for automatically executing additional procedures based on feedback from the internal reporting system and means for monitoring the support status for processing procedures based on keywords detected from the user's input and providing feedback to the user, thereby improving the accuracy and effectiveness of problem resolution.

[0576] "User" refers to an individual or member of an organization who uses the system.

[0577] "Text" refers to sentences or character strings entered by the user.

[0578] "Natural language processing" refers to the technology of analyzing digital text data and understanding and interpreting human language.

[0579] "Keywords" refer to words or phrases extracted from the analyzed text that serve as the basis for specific processing or judgment.

[0580] "Procedure" refers to a series of operations or procedures that are automatically performed based on detected keywords.

[0581] "Harassment" refers to bullying or other acts of harassment in the workplace or within an organization.

[0582] "Reporting system" refers to a system for reporting misconduct or problems within an organization.

[0583] "Workload" refers to a situation in which the workload exceeds a certain limit and places an excessive burden on employees.

[0584] "Inventory" refers to the process of organizing business operations and resources and understanding the current situation.

[0585] "Support" refers to other departments and employees cooperating and supporting specific issues or tasks.

[0586] "Feedback" refers to providing information about the outcome and progress of a processing procedure.

[0587] "Monitoring" refers to the continuous observation of the progress of a particular task or process.

[0588] This invention provides a system that analyzes text entered by a user and automates appropriate processing procedures based on specific keywords. This system is composed of three entities: a server, a terminal, and a user.

[0589] User Action:

[0590] Users enter their worries and problems into the system in text format. This text is entered into an input form on the terminal, and the contents proceed to the next step by pressing the send button.

[0591] Terminal behavior:

[0592] The device sends the text entered by the user to the server using an HTTP POST request. The device waits for the text data before sending it and confirms that the transmission is complete.

[0593] Server Analysis:

[0594] The server performs natural language processing (NLP) on the received text data. Specifically, it analyzes the text using services such as Google Cloud Natural Language API. During the analysis process, the server extracts the grammar, meaning, and sentiment of the text, and detects specific keywords based on the analysis results.

[0595] Keyword detection:

[0596] The server detects specific keywords from the analysis results. In this step, it matches the text with a list of keywords (e.g., "harassment," "workload," etc.).

[0597] Determining and implementing appropriate processing procedures:

[0598] The server determines the appropriate handling procedure based on the detected keyword and begins to implement it. For example, if the keyword "harassment" is detected, the server automatically connects to the organization's reporting system and reports the details of the problem. If the keyword "workload" is detected, the server will perform an inventory of work and request assistance from the relevant department. This allows users' concerns and problems to be handled quickly and efficiently.

[0599] User Notice:

[0600] After all processing is completed, the server notifies the user of the processing results via email or internal messenger (such as Slack or Microsoft Teams).

[0601] As a specific example, if a user types "I've been having trouble with harassment from my boss lately," the server will detect the keyword "harassment" and connect to the organization's reporting system. The server then takes the necessary steps based on feedback from the reporting system and notifies the user. In another case, if a user types "I'm having trouble with my workload," the server will detect the keyword "workload," conduct a workload inventory, and request assistance from the relevant department. In this way, the user's workload can be reduced and the server will notify them of the results of appropriate assistance.

[0602] Example prompt sentence:

[0603] "My boss is harassing me and I want to know what to do about it."

[0604] "Recently, my workload has increased and I'm struggling to keep up. I'd like to ask for help."

[0605] The system analyzes user input and resolves issues quickly and appropriately, protecting employees' mental health and improving work efficiency.

[0606] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0607] Step 1:

[0608] The user inputs their worries or problems into the device in text format. For example, the user might input, "Recently, I've been having trouble with harassment from my boss." The device prepares the input text for transmission. The input is the user's text data, and the output is the storage of the text data within the device.

[0609] Step 2:

[0610] The terminal sends the text entered by the user to the server via an HTTP POST request. The terminal displays a message to notify the user that the transmission is complete. The input is the text data stored in step 1, and the output is the text data sent to the server.

[0611] Step 3:

[0612] The server stores the received text data and prepares it for analysis. The server generates a confirmation log stating, "Text data has been received." The input is the text data sent from the terminal, and the output is the text data stored in the server and the confirmation log.

[0613] Step 4:

[0614] The server starts natural language processing (NLP) on the received text data. Specifically, it calls the Google Cloud Natural Language API to perform analysis. The server records a log message saying "Starting analysis" and sends the analysis results to the next step. The input is the text data stored on the server, and the output is the analysis results of the text data.

[0615] Step 5:

[0616] The server detects specific keywords from the analysis results, extracts keywords such as "harassment" from the analyzed text, and generates a log stating "XX keyword was detected." The input is the analysis results, and the output is the detected keywords and the detection log.

[0617] Step 6:

[0618] The server determines the appropriate processing procedure based on the detected keyword and begins executing it. For example, if "harassment" is detected, it calls the reporting system API and generates a log stating "We will connect to the internal reporting system." The input is the detected keyword, and the output is the data sent to the reporting system and the processing log.

[0619] Step 7:

[0620] The server receives feedback from the notification system. The server records a log saying "Feedback from the notification system has been received" and automatically executes further procedures as necessary. The input is the feedback data from the notification system, and the output is a log of the additional procedures that were automatically executed.

[0621] Step 8:

[0622] After all processing is complete, the server notifies the user of the processing results. The server sends the results via email or internal messenger and generates a log stating "A result notification email has been sent." The input is the processing result data, and the output is the notification sent to the user and the notification log.

[0623] This allows the system to respond quickly and efficiently to users' concerns and problems.

[0624] (Application example 1)

[0625] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0626] This invention relates to a system that quickly and efficiently solves worries and problems entered by users in text format. In particular, this system addresses not only workplace harassment and work pressure, but also security-related issues. The objectives of this system are to protect employees' mental health, improve work efficiency, and strengthen information security.

[0627] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0628] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, and means for determining and executing appropriate processing procedures based on the detected keywords. This makes it possible to quickly respond to user concerns and problems, and to not only deal with power harassment and work pressures, but also to perform security checks to strengthen email filters when security-related input is made.

[0629] "Text" is information in the form of a string entered by the user.

[0630] "Natural language processing" is a technology that allows computers to understand and analyze human language.

[0631] "Keywords" are significant words or phrases extracted from the analyzed text.

[0632] A "procedure" is a series of actions the system takes based on detected keywords.

[0633] "Power harassment" is a type of harassment based on power relationships in the workplace.

[0634] A "reporting system" is a system for reporting internal problems and providing solutions.

[0635] "Work pressure" refers to a situation in which work is overly concentrated and employees feel overwhelmed.

[0636] "Inventory" is the process of organizing and understanding the current business situation.

[0637] "Requesting help" means asking for assistance from relevant departments.

[0638] A "security check" is a process for verifying the safety of information and systems.

[0639] An "email filter" is a system that classifies or blocks incoming emails based on specific criteria.

[0640] "Notification" is a message that notifies the user of the processing status or results.

[0641] The system of the present invention analyzes text entered by a user using natural language processing technology and automatically executes appropriate processing procedures based on specific keywords. This system is composed of three parties: a server, a terminal, and a user, and operates in the following manner.

[0642] First, the user enters their worries or problems into the device in text format. The device then sends this text data to the server. The server then analyzes the received text using natural language processing (NLP) to detect specific keywords. The NLP technology used includes spaCy's Japanese model, which can analyze Japanese.

[0643] When the server detects a specific keyword from the analyzed text, it determines and executes the appropriate processing procedure based on that keyword. For example, if the keyword "power harassment" is detected, the server will connect to the internal reporting system and execute a process to report the user's concerns. If the keyword "work pressure" is detected, the server will instruct an inventory of work and execute a process to request help from the relevant department. Furthermore, if the keyword "suspicious email" is detected, the server will execute a security check and take measures to strengthen the email filter.

[0644] The server notifies the user of the progress and results of the processing procedure, and the notifications are sent to the terminal used by the user so that the user can easily check them.

[0645] Specific examples

[0646] For example, if a user types "I've been receiving an increasing number of suspicious emails lately," the device sends this text data to the server. The server uses NLP technology to analyze the text data and detects the keyword "suspicious email." The server then performs a security check and compares it with lists of spam and phishing email addresses. After appropriate measures are taken, the server notifies the user of the results of the processing. This notification may include content such as "Suspicious emails have been identified and the email filter has been strengthened."

[0647] Prompt Sentence Examples

[0648] If a user types "I've been receiving more and more suspicious emails lately," the text will be recognized as containing the keyword "suspicious email," and a security check will be performed recommending strengthening email filters.

[0649] Example prompt:

[0650] A user types in, "I've been receiving more and more suspicious emails lately." In this case, what measures would be appropriate?

[0651] By using these specific examples and example prompts as a reference, the system can automatically provide a quick and appropriate response to the user's concerns and problems.

[0652] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0653] Step 1:

[0654] The user inputs text data. The user inputs their worries or problems in natural language and sends it to the terminal. For example, the input might be the text "I've been receiving an increasing number of suspicious emails recently."

[0655] Step 2:

[0656] The terminal sends the entered text data to the server. The data sent is the text exactly as entered by the user.

[0657] Step 3:

[0658] The server analyzes the received text data using natural language processing (NLP). The server uses spaCy's Japanese model to perform morphological analysis of the text data and extract keywords. The input data is text, and the output data is the extracted keywords.

[0659] Step 4:

[0660] The server determines the processing procedure based on the extracted keywords. For example, if the keyword "suspicious email" is included, it decides to perform a security check. This decision is based on the detected keywords.

[0661] Step 5:

[0662] The server performs a security check, which involves comparing the email with spam and phishing email lists to assess risk. The input data is the detected keywords and the user's input text, and the output data is the result of the security check.

[0663] Step 6:

[0664] The server notifies the user of the processing results. The notification may say something like, "Suspicious emails have been identified and the email filter has been strengthened." The notification is sent to the user's device. The input data is the result of the processing procedure, and the output data is the notification sent to the user.

[0665] Step 7:

[0666] The user receives a notification. The user checks the notification through the terminal and understands that the problem has been resolved. The output of this processing step is a notification to the user.

[0667] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0668] This invention provides a system for achieving more advanced mental care by combining a system that analyzes text entered by a user and automates appropriate procedures based on specific keywords with an emotion engine that recognizes the user's emotions. Specifically, the system aims to analyze the user's input text and emotional information, execute optimal procedures, and quickly and effectively solve problems. This system is composed of three entities: a server, a terminal, and a user.

[0669] 1. System Configuration

[0670] User Action:

[0671] 1. Users enter their concerns or problems into the system in text format.

[0672] 2. The terminal sends the user's input to the server.

[0673] Server Analysis:

[0674] 3. The server analyzes the received text data using natural language processing (NLP) technology.

[0675] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "pressured work."

[0676] Emotion Engine Operation:

[0677] 5. The server uses the emotion engine to recognize the user's emotion information from the text.

[0678] The emotion engine identifies the emotion of the input text and detects emotions such as "stress" or "anxiety."

[0679] Decision on processing procedures:

[0680] 6. The server determines the appropriate processing procedure based on specific keywords and emotional information.

[0681] Procedures for handling cases of power harassment:

[0682] 1. The server automatically connects to the company's internal reporting system based on the keyword "power harassment" and the emotional information of "high stress level."

[0683] 2. Report details of the user's concerns and emotional information to the reporting system and instruct appropriate countermeasure procedures.

[0684] 3. Receive feedback from the reporting system and automatically implement further procedures if necessary.

[0685] 4. The server notifies the user of the processing status and results.

[0686] Process during times of business pressure:

[0687] 1. The server issues instructions to carry out a work inventory based on the keyword "work pressure" and the emotional information "anxiety."

[0688] 2. The server analyzes the list of tasks and determines the workload.

[0689] 3. The server requests help from the relevant departments and monitors the progress.

[0690] 4. The server notifies the user of the processing status and results.

[0691] User Notice:

[0692] After the server has completed all the processing, it will notify the user and let them know how the problem has been resolved.

[0693] Counseling Offerings:

[0694] 1. The server suggests appropriate counseling and mental support to the user based on emotional information.

[0695] For example, we can help you make an appointment with a professional counselor or provide you with relaxation techniques.

[0696] To give a concrete example:

[0697] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and the emotion of "high stress level." Based on this information, the server contacts the company's reporting system, takes the necessary steps (such as expelling the boss) based on the feedback, and notifies the user. At the same time, it suggests providing appropriate counseling for the user's high stress level.

[0698] In another case, if a user inputs "I'm having trouble because my work is getting too tight," the server will detect the keyword "work is getting too tight" and the emotion of "anxiety." Based on this information, the server will conduct a work inventory and request help from the relevant departments. This will reduce the user's workload and notify them of the results of appropriate assistance. At the same time, it will suggest mental support, such as relaxation techniques, to alleviate the user's anxiety.

[0699] The system of the present invention automates these processes and provides quick and appropriate responses to users' concerns and problems, thereby protecting the mental health of employees and improving work efficiency.

[0700] The processing flow will be explained below.

[0701] Processing steps of a system that combines emotion engines

[0702] If you are having trouble with a boss who is abusive

[0703] Step 1:

[0704] The user enters into the system, "I'm having trouble with my boss who is abusive."

[0705] Step 2:

[0706] The terminal sends the user's input to the server.

[0707] Step 3:

[0708] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0709] The input text is tokenized and the keyword "power harassment" is detected.

[0710] Step 4:

[0711] The server uses an emotion engine to recognize emotions from the input text.

[0712] The emotion engine detects emotions such as "high stress levels."

[0713] Step 5:

[0714] The server determines the appropriate course of action based on the keywords "power harassment" and "high stress level."

[0715] Step 6:

[0716] The server automatically connects to the company's internal reporting system.

[0717] The details of the trouble and emotional information obtained from the user are sent to a reporting system.

[0718] Step 7:

[0719] The reporting system receives reports and instructs on the necessary countermeasure procedures.

[0720] Step 8:

[0721] The server waits for feedback from the notification system and receives the results.

[0722] For example, you may receive feedback such as "The decision has been made to expel the superior."

[0723] Step 9:

[0724] The server will automatically perform any additional steps required.

[0725] Complete the necessary paperwork and approval process for the removal of a superior.

[0726] Step 10:

[0727] The server sends notifications to the user to inform them of the status of the process.

[0728] Step 11:

[0729] The server provides appropriate counseling and mental support based on emotional information.

[0730] For example, they might offer relaxation techniques or suggest scheduling an appointment with a professional counselor.

[0731] When business is tight

[0732] Step 1:

[0733] The user inputs "business is tight" into the system.

[0734] Step 2:

[0735] The terminal sends the user's input to the server.

[0736] Step 3:

[0737] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0738] The input text is tokenized to detect the keyword "business is tight."

[0739] Step 4:

[0740] The server uses an emotion engine to recognize emotions from the input text.

[0741] The emotion engine detects emotions such as "anxiety."

[0742] Step 5:

[0743] The server determines the appropriate course of action based on the keywords "business is tight" and "anxiety."

[0744] Step 6:

[0745] The server issues instructions to perform the business inventory.

[0746] Extract a list of tasks and analyze the workload.

[0747] Step 7:

[0748] The server will ask the relevant department for help.

[0749] Create a list of help requests and distribute it to the relevant departments.

[0750] Step 8:

[0751] The server monitors the progress of the assignment help.

[0752] Track the progress of each department and monitor progress.

[0753] Step 9:

[0754] The server sends notifications to the user to inform them of the status of the process.

[0755] Step 10:

[0756] The server provides appropriate counseling and support based on the emotional information.

[0757] For example, providing stress reduction measures and mental health resources.

[0758] In this way, the system of the present invention analyzes user input, including emotional information, and automatically takes prompt and appropriate action, thereby making it possible to effectively improve the user's mental health.

[0759] Example 2

[0760] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0761] In conventional consultation systems, it was difficult to automatically determine and execute appropriate procedures when users entered their worries or problems. Furthermore, mental care that took into account the user's emotional information was not provided, making it difficult to resolve problems quickly and effectively. As a result, users' mental health was not adequately protected, and work efficiency sometimes declined.

[0762] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0763] In this invention, the server includes a means for analyzing text entered by a user using natural language processing, a means for detecting specific keywords from the analyzed text, and a means for determining and executing appropriate processing procedures based on the detected keywords and emotional information from an emotion engine. This enables prompt and appropriate responses to users' concerns and problems and provides mental care. Furthermore, if an input is made regarding power harassment, the system automatically connects to an internal reporting system to report the concern, and if an input is made regarding a work shortage, the system can perform a work inventory and request help from the relevant department. Furthermore, the system can notify users of the processing status and suggest counseling or mental support, thereby protecting employees' mental health and improving work efficiency.

[0764] A "user" is a person who inputs worries or problems into the system in text format.

[0765] "Natural language processing" is a technology that allows computers to understand, interpret, and generate human language.

[0766] "Text analysis" is the process of segmenting, classifying, and understanding input text.

[0767] "Keywords" are important words or phrases in text that trigger specific processing steps.

[0768] An "emotion engine" is a technology that identifies emotional information from input text and detects emotions such as stress and anxiety.

[0769] "Procedures" are specific countermeasures or actions taken based on specific keywords and emotional information.

[0770] The "reporting system" is an internal system for reporting internal issues such as power harassment and taking appropriate measures.

[0771] "Task inventory" is the process of analyzing the current task list and understanding the workload situation.

[0772] "Related departments" are other departments within the company that provide support for specific issues or tasks.

[0773] "Processing status notification" is a means of communication to inform the user of the progress and results of problem resolution.

[0774] "Counseling" is a service that provides psychological support and advice from professionals.

[0775] "Mental support" is a means of support to maintain and improve the user's mental health.

[0776] This invention is a system that analyzes text entered by a user and automates appropriate processing procedures based on specific keywords and emotional information. The system is composed of three entities: a server, a terminal, and a user. The specific operations and processing procedures for each are explained below.

[0777] System Configuration

[0778] This system aims to solve problems quickly and effectively by analyzing the text entered by the user using natural language processing (NLP) technology, recognizing emotional information using an emotion engine, and executing optimal processing procedures. This system uses the following hardware and software.

[0779] Hardware: Standard servers and end-user devices (e.g., PCs, smartphones)

[0780] Software: Python, NLTK library, IBM Watson sentiment analysis API

[0781] System Operation

[0782] User Action:

[0783] 1. The user enters their worries or problems into the system in text format. For example, consider the case where the user enters "I'm having trouble with power harassment by my boss."

[0784] 2. The device sends the entered text to the server. Specifically, the device sends the text data to the server in JSON format using an HTTP request.

[0785] Server Analysis:

[0786] 3. The server analyzes the received text data using Python's NLTK library, tokenizes the text, and performs grammatical analysis.

[0787] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "work pressure," and compares them with a pre-defined list.

[0788] Emotion Engine Operation:

[0789] 5. The server uses an emotion engine (IBM Watson's emotion analysis API) to recognize the user's emotional information from the text and detect emotions such as "stress" or "anxiety."

[0790] 6. The server determines the appropriate processing procedure based on the detected keywords and emotion information and performs the automated processing.

[0791] Examples of appropriate actions:

[0792] In the case of power harassment:

[0793] Based on the keywords "power harassment" and "high stress level," the server automatically connects to the company's internal reporting system and reports details of the user's concerns and emotional information.

[0794] Based on feedback from the reporting system, any additional procedures required will be automatically carried out.

[0795] The server notifies the user of the processing status and results.

[0796] If business is tight:

[0797] Based on the keyword "work pressure" and the emotional information of "anxiety," the server performs an inventory of work and requests help from related departments.

[0798] Analyze the task list and understand the workload situation.

[0799] The server notifies the user of the processing status and results.

[0800] User Notice:

[0801] The server will notify the user after all processing is complete and let them know how the problem is resolved.

[0802] Counseling Offerings:

[0803] 1. The server suggests appropriate counseling or mental support to the user based on the emotional information, such as making an appointment with a professional counselor or suggesting relaxation techniques.

[0804] Prompt Sentence Examples

[0805] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and "high stress level." Based on this information, the server will automatically contact the company's internal reporting system, take the necessary steps, and notify the user. At the same time, it will suggest appropriate counseling for the user's high stress level. The following is an example of a prompt that can be entered:

[0806] Example prompt sentence:

[0807] Please explain the procedure for automatically contacting the internal reporting system and suggesting counseling if the employee enters "I am having trouble with my boss who is abusive" and the system determines that the employee has a "high stress level."

[0808] By automating these processes, the system can respond quickly and appropriately to users' concerns and problems, protect employees' mental health, and improve work efficiency.

[0809] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0810] Step 1:

[0811] The user enters their worries and problems in text format.

[0812] Input: Text entered by the user (e.g., "I'm having trouble with power harassment by my boss.")

[0813] Action: A user enters text using the system's interface.

[0814] Output: The input text data

[0815] Step 2:

[0816] The terminal transmits the entered text to the server.

[0817] Input: Text data entered in step 1

[0818] How it works: The device sends text data in JSON format to the server using an HTTP request.

[0819] Output: Text data sent to the server

[0820] Step 3:

[0821] The server analyzes the received text data using natural language processing (NLP) technology.

[0822] Input: Text data sent from the terminal

[0823] How it works: The server uses Python's NLTK library to tokenize the text and perform grammatical analysis.

[0824] Output: Parsed text data

[0825] Step 4:

[0826] The server detects specific keywords from the parsed text.

[0827] Input: Text data parsed in step 3

[0828] How it works: The server compares the analysis results with a pre-set list to detect keywords (e.g., "power harassment" or "work pressure").

[0829] Output: A list of detected keywords

[0830] Step 5:

[0831] The server uses an emotion engine to recognize emotion information from the text.

[0832] Input: Text data parsed in step 3

[0833] How it works: The server uses IBM Watson's sentiment analysis API to identify sentiment from text and obtain a sentiment score.

[0834] Output: Identified emotion information (e.g., "high stress level," "anxiety")

[0835] Step 6:

[0836] The server determines and executes appropriate processing procedures based on the detected keywords and emotion information.

[0837] Input: The list of keywords detected in step 4 and the sentiment information identified in step 5

[0838] How it works: Based on specific keywords and sentiment information, a rules-based algorithm is used to determine the appropriate course of action.

[0839] Output: Appropriate processing procedures (e.g., linking to the reporting system, instructions for business inventory)

[0840] Procedures for handling cases of power harassment

[0841] Step 7:

[0842] The server automatically connects to an internal reporting system to report concerns based on the keywords "power harassment" and "high stress level."

[0843] Input: Detected keyword "power harassment", emotional information "high stress level"

[0844] Operation: Calls the API of the reporting system and sends the user's concerns and emotional information as a POST request.

[0845] Output: Confirmation of report sent to reporting system

[0846] Step 8:

[0847] The server receives feedback from the notification system and automatically performs further procedures.

[0848] Input: Feedback from the reporting system

[0849] Action: Based on the feedback received, automatically take any necessary additional steps (e.g., change superior).

[0850] Output: Execution result of the additional procedure

[0851] Processing procedures when business is tight

[0852] Step 9:

[0853] The server issues instructions to carry out a business inventory based on the keyword "business is tight" and the emotional information of "anxiety."

[0854] Input: Detected keyword "Work pressure" and emotional information "Anxiety"

[0855] What it does: Takes a list of tasks and runs an algorithm to identify the most demanding tasks.

[0856] Output: Workload status assessment results

[0857] Step 10:

[0858] The server requests help from the relevant departments and monitors the progress.

[0859] Input: Workload status assessment results

[0860] Action: Send email notifications or requests to the relevant departments via the ticket system. Periodically check the status to see the progress.

[0861] Output: Help request status and progress

[0862] Step 11:

[0863] The server will notify the user after all processing is complete and let them know how the problem is resolved.

[0864] Input: Processing procedure results

[0865] Action: Sends email and / or in-app notifications to the user to inform them of the status and results of the operation.

[0866] Output: Notification to the user

[0867] Providing counseling

[0868] Step 12:

[0869] The server proposes appropriate counseling and mental support to the user based on the emotional information.

[0870] Input: Identified emotional information (e.g., "high stress level")

[0871] Operation: Based on the user's emotional information, the system proposes appropriate counseling and mental support. For example, it links to a counseling reservation system to schedule an appointment.

[0872] Output: Counseling and mental support suggestions

[0873] (Application example 2)

[0874] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0875] Today, many users are increasingly turning to online virtual stores for assistance with products and services. However, traditional customer support systems often fail to consider users' feelings, leaving them feeling dissatisfied and stressed. Furthermore, lack of timely and appropriate procedures can increase users' anxiety and frustration. Therefore, there is an urgent need for a system that can respond quickly and accurately while taking users' feelings into consideration.

[0876] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0877] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, means for determining and executing an appropriate procedure based on the detected keywords, means for reporting a concern in conjunction with the specific procedure as the appropriate procedure, means for executing a procedure to reduce work load and requesting necessary support, means for notifying the user of the processing status, means for recognizing the user's emotional information from the text using an emotion engine, and means for providing counseling or mental support based on the recognized emotional information. This makes it possible to understand the user's feelings and respond quickly and appropriately.

[0878] Write a definition for each of the following important words:

[0879] "User" refers to any individual or legal entity that uses the System.

[0880] "Text" refers to sentence data entered by the user.

[0881] "Natural language processing" is a general term for technologies that allow computers to understand, analyze, and generate human language.

[0882] "Analyzing" refers to the process of using specific algorithms on input data to extract, classify, and transform information.

[0883] "Keywords" are words or phrases in the analyzed text that have a particular meaning or importance.

[0884] "Emotion engine" refers to software or algorithms for recognizing and assigning emotional states from user-entered text.

[0885] A "procedure" is a set of operations or actions that a system performs based on specific inputs or circumstances.

[0886] "Automatic collaboration" refers to a system automatically exchanging information and interacting with other systems or services based on predefined conditions.

[0887] "Reporting system" refers to an internal or external infrastructure for reporting and responding to problems or anomalies.

[0888] "Work inventory" refers to the process of organizing and reevaluating current workloads and tasks.

[0889] "Asking for help" refers to asking for help or assistance with a specific problem or task.

[0890] "Notifying" refers to sending specific information or messages to a user.

[0891] "Counselling" refers to the provision of emotional and psychological support and advice.

[0892] "Mental support" refers to a variety of services and resources offered to support users' mental health.

[0893] This invention relates to a system that analyzes the content entered by the user in text format and automatically executes appropriate processing procedures. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, a system that provides more advanced mental care can be realized.

[0894] First, the user inputs their problems and worries in text format using a device such as a smartphone or head-mounted display, and sends it to the system. The device then sends this input text to the server in real time.

[0895] The server uses the Google Cloud Natural Language API to analyze the received text data using natural language processing technology. This analysis extracts specific keywords from the text, such as "returned product" or "item not received."

[0896] The server then uses the IBM Watson Emotional Analysis API to recognize the user's emotional information from the text. The emotion engine detects emotions such as "anxiety" or "irritation."

[0897] The server determines the appropriate processing procedure based on the detected keywords and emotional information. For example, if it detects the keyword "item not delivered" and the emotional emotion "anxiety," it will initiate a prompt delivery procedure for the item. It also provides counseling or mental support if necessary, depending on the emotional information recognized.

[0898] Regarding the counseling function, if the user is feeling very stressed, the system will suggest making an appointment with a professional counselor or suggest ways to relax based on emotional information.

[0899] The system will proceed with the processing based on the information entered by the user, constantly monitor the progress, and notify the user of the processing status in a timely manner.

[0900] The hardware used includes a smartphone and a head-mounted display, and the software includes the Google Cloud Natural Language API, IBM Watson Emotional Analysis API, WebSocket communication technology, and a Firebase database.

[0901] Specific examples of prompts include:

[0902] If the user enters text like this:

[0903] "I'm in trouble because my item hasn't arrived yet. I'm very worried."

[0904] In this case, the text is sent via WebSocket to a server that analyzes the text and sentiment using the Google Cloud Natural Language API and IBM Watson Emotional Analysis API, and based on the results, an appropriate response is automatically selected and notified to the user.

[0905] In this way, the present invention provides a system that understands the user's feelings and responds quickly and appropriately.

[0906] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0907] Step 1:

[0908] Users input their worries and problems in text format using devices such as smartphones or head-mounted displays. This text describes in detail the problems they are facing.

[0909] Input: User-entered text

[0910] Output: The input text data

[0911] Step 2:

[0912] The device sends the text entered by the user to the server in real time, using WebSocket for this data communication.

[0913] Input: User-entered text data

[0914] Output: Data sent to the server

[0915] Step 3:

[0916] The server analyzes the received text data using the Google Cloud Natural Language API, extracting specific keywords (e.g., "item not received" or "returned product") from the text.

[0917] Input: User-entered text data

[0918] Output: Extracted keywords

[0919] Step 4:

[0920] The server uses the IBM Watson Emotional Analysis API to recognize the user's emotional information from the text. The emotion engine detects emotions such as "anxiety" and "irritation."

[0921] Input: User-entered text data

[0922] Output: Recognized emotion information

[0923] Step 5:

[0924] The server determines the appropriate procedure based on the detected keywords and emotion information. For example, if the keyword "item not delivered" and the emotion "anxiety" are detected, the server will initiate a prompt delivery procedure for the item.

[0925] Input: extracted keywords and recognized emotion information

[0926] Output: Judgment result of appropriate processing procedure

[0927] Step 6:

[0928] The server will also provide counseling and mental support if needed. For example, if it detects high levels of stress, it will book an appointment with a professional counselor or suggest ways to relax.

[0929] Input: Recognized emotion information

[0930] Output: Proposal to provide counseling or mental support

[0931] Step 7:

[0932] The server processes the transaction based on the information entered by the user and constantly monitors its progress.

[0933] Input: Processing procedure decision result

[0934] Output: Progress monitoring data

[0935] Step 8:

[0936] The server notifies the user of the progress of the processing procedure in a timely manner, allowing the user to grasp the current status in real time.

[0937] Input: Progress monitoring data

[0938] Output: A message to inform the user

[0939] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0940] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0941] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0942] [Third embodiment]

[0943] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0944] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0945] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0946] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0947] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0948] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0949] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0950] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0951] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0952] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0953] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0954] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0955] This invention provides a system that analyzes text entered by users and automates appropriate processing procedures based on specific keywords. The purpose of this is to quickly and efficiently resolve users' concerns and problems. This system is composed of three parties: a server, a terminal, and a user.

[0956] 1. System Configuration

[0957] User Action:

[0958] 1. Users enter their concerns or problems into the system in text format.

[0959] 2. The terminal sends the user's input to the server.

[0960] Server Analysis:

[0961] 3. The server analyzes the received text data using natural language processing (NLP) technology.

[0962] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "pressured work."

[0963] 5. Based on the detected keywords, the server determines the appropriate processing procedure and begins executing it.

[0964] Specifically, the following cases are possible:

[0965] Procedures for handling cases of power harassment:

[0966] 1. If the server detects the keyword "power harassment," it will automatically connect to the company's internal reporting system.

[0967] 2. Report the details of the user's problem to the reporting system and instruct them on the appropriate countermeasure procedures.

[0968] 3. Receive feedback from the reporting system and automatically implement further procedures if necessary.

[0969] 4. The server notifies the user of the processing status and results.

[0970] Process during times of business pressure:

[0971] 1. If the server detects the keyword "business is tight," it issues an instruction to perform a business inventory.

[0972] 2. The server analyzes the list of tasks and determines the workload.

[0973] 3. The server requests help from the relevant departments and monitors the progress.

[0974] 4. The server notifies the user of the processing status and results.

[0975] User Notice:

[0976] After the server has completed all the processing, it will notify the user and let them know how the problem has been resolved.

[0977] To give a concrete example:

[0978] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and connect it to the company's reporting system. Then, based on feedback from the hotline, the server will take the necessary steps (such as expelling the boss) and notify the user.

[0979] In another case, if a user inputs "I'm in trouble because my workload is tight," the server will detect the keyword "work is tight," conduct a workload inventory, and request help from the relevant departments. This will reduce the user's workload and notify them of the results of appropriate assistance.

[0980] The system of the present invention automates these processes and responds quickly to users' concerns and problems, thereby protecting employees' mental health and improving work efficiency.

[0981] The processing flow will be explained below.

[0982] Steps to take if you are in trouble with a boss who is abusive

[0983] Step 1:

[0984] The user enters into the system, "I'm having trouble with my boss who is abusive."

[0985] Step 2:

[0986] The terminal sends the user's input to the server.

[0987] Step 3:

[0988] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[0989] Specifically, the input text is tokenized and the keyword "power harassment" is detected.

[0990] Step 4:

[0991] The server determines the appropriate action to take based on the keyword "power harassment."

[0992] Step 5:

[0993] The server automatically connects to the company's internal reporting system.

[0994] The details of the problem obtained from the user are sent to a reporting system.

[0995] Step 6:

[0996] The reporting system receives reports and instructs on the necessary countermeasure procedures.

[0997] Step 7:

[0998] The server waits for feedback from the notification system and receives the results.

[0999] For example, you may receive feedback such as "The decision has been made to expel the superior."

[1000] Step 8:

[1001] The server will automatically perform any additional steps required.

[1002] Specifically, they will prepare the necessary paperwork and carry out the approval process for removing a superior.

[1003] Step 9:

[1004] The server sends notifications to the user to inform them of the status of the process.

[1005] Steps to take when business is tight

[1006] Step 1:

[1007] The user inputs "business is tight" into the system.

[1008] Step 2:

[1009] The terminal sends the user's input to the server.

[1010] Step 3:

[1011] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[1012] Specifically, the input text is tokenized and the keyword "business is tight" is detected.

[1013] Step 4:

[1014] The server determines the appropriate action to take based on the keyword "business is under pressure."

[1015] Step 5:

[1016] The server issues instructions to perform the business inventory.

[1017] Extract a list of tasks and analyze the workload of each task.

[1018] Step 6:

[1019] The server will ask the relevant department for help.

[1020] Specifically, the necessary help content is listed and distributed to the relevant departments.

[1021] Step 7:

[1022] The server monitors the progress of the assignment help.

[1023] For example, track the response status of each department and check progress.

[1024] Step 8:

[1025] The server sends notifications to the user to inform them of the status of the process.

[1026] In this way, specific operations are performed at each processing step, and a prompt and appropriate response is implemented to the user's concerns and problems.

[1027] Example 1

[1028] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1029] Responding quickly and efficiently to employee concerns and workloads is important for maintaining organizational productivity and employee mental health. However, when an employee reports harassment to their supervisor or when the workload is heavy, appropriate action is often delayed. This situation can further exacerbate the problem and lower employee morale. Therefore, the present invention aims to provide a system that quickly responds to concerns and problems entered by users and guides them to appropriate procedures, thereby improving employee mental health and work efficiency.

[1030] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1031] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, and means for determining and executing appropriate processing procedures based on the detected keywords. This enables appropriate processing procedures to be automatically executed for problems or concerns entered by employees. Furthermore, the server includes means for automatically linking with an internal reporting system to report a problem when an input related to harassment is made based on the detected keywords, means for performing a work inventory and requesting support from relevant departments when an input related to workload is made, and means for notifying the user of the processing status. This ensures that user concerns and problems are addressed promptly and appropriately. Furthermore, the server also includes means for automatically executing additional procedures based on feedback from the internal reporting system and means for monitoring the support status for processing procedures based on keywords detected from the user's input and providing feedback to the user, thereby improving the accuracy and effectiveness of problem resolution.

[1032] "User" refers to an individual or member of an organization who uses the system.

[1033] "Text" refers to sentences or character strings entered by the user.

[1034] "Natural language processing" refers to the technology of analyzing digital text data and understanding and interpreting human language.

[1035] "Keywords" refer to words or phrases extracted from the analyzed text that serve as the basis for specific processing or judgment.

[1036] "Procedure" refers to a series of operations or procedures that are automatically performed based on detected keywords.

[1037] "Harassment" refers to bullying or other acts of harassment in the workplace or within an organization.

[1038] "Reporting system" refers to a system for reporting misconduct or problems within an organization.

[1039] "Workload" refers to a situation in which the workload exceeds a certain limit and places an excessive burden on employees.

[1040] "Inventory" refers to the process of organizing business operations and resources and understanding the current situation.

[1041] "Support" refers to other departments and employees cooperating and supporting specific issues or tasks.

[1042] "Feedback" refers to providing information about the outcome and progress of a processing procedure.

[1043] "Monitoring" refers to the continuous observation of the progress of a particular task or process.

[1044] This invention provides a system that analyzes text entered by a user and automates appropriate processing procedures based on specific keywords. This system is composed of three entities: a server, a terminal, and a user.

[1045] User Action:

[1046] Users enter their worries and problems into the system in text format. This text is entered into an input form on the terminal, and the contents proceed to the next step by pressing the send button.

[1047] Terminal behavior:

[1048] The device sends the text entered by the user to the server using an HTTP POST request. The device waits for the text data before sending it and confirms that the transmission is complete.

[1049] Server Analysis:

[1050] The server performs natural language processing (NLP) on the received text data. Specifically, it analyzes the text using services such as Google Cloud Natural Language API. During the analysis process, the server extracts the grammar, meaning, and sentiment of the text, and detects specific keywords based on the analysis results.

[1051] Keyword detection:

[1052] The server detects specific keywords from the analysis results. In this step, it matches the text with a list of keywords (e.g., "harassment," "workload," etc.).

[1053] Determining and implementing appropriate processing procedures:

[1054] The server determines the appropriate handling procedure based on the detected keyword and begins to implement it. For example, if the keyword "harassment" is detected, the server automatically connects to the organization's reporting system and reports the details of the problem. If the keyword "workload" is detected, the server will perform an inventory of work and request assistance from the relevant department. This allows users' concerns and problems to be handled quickly and efficiently.

[1055] User Notice:

[1056] After all processing is completed, the server notifies the user of the processing results via email or internal messenger (such as Slack or Microsoft Teams).

[1057] As a specific example, if a user types "I've been having trouble with harassment from my boss lately," the server will detect the keyword "harassment" and connect to the organization's reporting system. The server then takes the necessary steps based on feedback from the reporting system and notifies the user. In another case, if a user types "I'm having trouble with my workload," the server will detect the keyword "workload," conduct a workload inventory, and request assistance from the relevant department. In this way, the user's workload can be reduced and the server will notify them of the results of appropriate assistance.

[1058] Example prompt sentence:

[1059] "My boss is harassing me and I want to know what to do about it."

[1060] "Recently, my workload has increased and I'm struggling to keep up. I'd like to ask for help."

[1061] The system analyzes user input and resolves issues quickly and appropriately, protecting employees' mental health and improving work efficiency.

[1062] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1063] Step 1:

[1064] The user inputs their worries or problems into the device in text format. For example, the user might input, "Recently, I've been having trouble with harassment from my boss." The device prepares the input text for transmission. The input is the user's text data, and the output is the storage of the text data within the device.

[1065] Step 2:

[1066] The terminal sends the text entered by the user to the server via an HTTP POST request. The terminal displays a message to notify the user that the transmission is complete. The input is the text data stored in step 1, and the output is the text data sent to the server.

[1067] Step 3:

[1068] The server stores the received text data and prepares it for analysis. The server generates a confirmation log stating, "Text data has been received." The input is the text data sent from the terminal, and the output is the text data stored in the server and the confirmation log.

[1069] Step 4:

[1070] The server starts natural language processing (NLP) on the received text data. Specifically, it calls the Google Cloud Natural Language API to perform analysis. The server records a log message saying "Starting analysis" and sends the analysis results to the next step. The input is the text data stored on the server, and the output is the analysis results of the text data.

[1071] Step 5:

[1072] The server detects specific keywords from the analysis results, extracts keywords such as "harassment" from the analyzed text, and generates a log stating "XX keyword was detected." The input is the analysis results, and the output is the detected keywords and the detection log.

[1073] Step 6:

[1074] The server determines the appropriate processing procedure based on the detected keyword and begins executing it. For example, if "harassment" is detected, it calls the reporting system API and generates a log stating "We will connect to the internal reporting system." The input is the detected keyword, and the output is the data sent to the reporting system and the processing log.

[1075] Step 7:

[1076] The server receives feedback from the notification system. The server records a log saying "Feedback from the notification system has been received" and automatically executes further procedures as necessary. The input is the feedback data from the notification system, and the output is a log of the additional procedures that were automatically executed.

[1077] Step 8:

[1078] After all processing is complete, the server notifies the user of the processing results. The server sends the results via email or internal messenger and generates a log stating "A result notification email has been sent." The input is the processing result data, and the output is the notification sent to the user and the notification log.

[1079] This allows the system to respond quickly and efficiently to users' concerns and problems.

[1080] (Application example 1)

[1081] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1082] This invention relates to a system that quickly and efficiently solves worries and problems entered by users in text format. In particular, this system addresses not only workplace harassment and work pressure, but also security-related issues. The objectives of this system are to protect employees' mental health, improve work efficiency, and strengthen information security.

[1083] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1084] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, and means for determining and executing appropriate processing procedures based on the detected keywords. This makes it possible to quickly respond to user concerns and problems, and to not only deal with power harassment and work pressures, but also to perform security checks to strengthen email filters when security-related input is made.

[1085] "Text" is information in the form of a string entered by the user.

[1086] "Natural language processing" is a technology that allows computers to understand and analyze human language.

[1087] "Keywords" are significant words or phrases extracted from the analyzed text.

[1088] A "procedure" is a series of actions the system takes based on detected keywords.

[1089] "Power harassment" is a type of harassment based on power relationships in the workplace.

[1090] A "reporting system" is a system for reporting internal problems and providing solutions.

[1091] "Work pressure" refers to a situation in which work is overly concentrated and employees feel overwhelmed.

[1092] "Inventory" is the process of organizing and understanding the current business situation.

[1093] "Requesting help" means asking for assistance from relevant departments.

[1094] A "security check" is a process for verifying the safety of information and systems.

[1095] An "email filter" is a system that classifies or blocks incoming emails based on specific criteria.

[1096] "Notification" is a message that notifies the user of the processing status or results.

[1097] The system of the present invention analyzes text entered by a user using natural language processing technology and automatically executes appropriate processing procedures based on specific keywords. This system is composed of three parties: a server, a terminal, and a user, and operates in the following manner.

[1098] First, the user enters their worries or problems into the device in text format. The device then sends this text data to the server. The server then analyzes the received text using natural language processing (NLP) to detect specific keywords. The NLP technology used includes spaCy's Japanese model, which can analyze Japanese.

[1099] When the server detects a specific keyword from the analyzed text, it determines and executes the appropriate processing procedure based on that keyword. For example, if the keyword "power harassment" is detected, the server will connect to the internal reporting system and execute a process to report the user's concerns. If the keyword "work pressure" is detected, the server will instruct an inventory of work and execute a process to request help from the relevant department. Furthermore, if the keyword "suspicious email" is detected, the server will execute a security check and take measures to strengthen the email filter.

[1100] The server notifies the user of the progress and results of the processing procedure, and the notifications are sent to the terminal used by the user so that the user can easily check them.

[1101] Specific examples

[1102] For example, if a user types "I've been receiving an increasing number of suspicious emails lately," the device sends this text data to the server. The server uses NLP technology to analyze the text data and detects the keyword "suspicious email." The server then performs a security check and compares it with lists of spam and phishing email addresses. After appropriate measures are taken, the server notifies the user of the results of the processing. This notification may include content such as "Suspicious emails have been identified and the email filter has been strengthened."

[1103] Prompt Sentence Examples

[1104] If a user types "I've been receiving more and more suspicious emails lately," the text will be recognized as containing the keyword "suspicious email," and a security check will be performed recommending strengthening email filters.

[1105] Example prompt:

[1106] A user types in, "I've been receiving more and more suspicious emails lately." In this case, what measures would be appropriate?

[1107] By using these specific examples and example prompts as a reference, the system can automatically provide a quick and appropriate response to the user's concerns and problems.

[1108] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1109] Step 1:

[1110] The user inputs text data. The user inputs their worries or problems in natural language and sends it to the terminal. For example, the input might be the text "I've been receiving an increasing number of suspicious emails recently."

[1111] Step 2:

[1112] The terminal sends the entered text data to the server. The data sent is the text exactly as entered by the user.

[1113] Step 3:

[1114] The server analyzes the received text data using natural language processing (NLP). The server uses spaCy's Japanese model to perform morphological analysis of the text data and extract keywords. The input data is text, and the output data is the extracted keywords.

[1115] Step 4:

[1116] The server determines the processing procedure based on the extracted keywords. For example, if the keyword "suspicious email" is included, it decides to perform a security check. This decision is based on the detected keywords.

[1117] Step 5:

[1118] The server performs a security check, which involves comparing the email with spam and phishing email lists to assess risk. The input data is the detected keywords and the user's input text, and the output data is the result of the security check.

[1119] Step 6:

[1120] The server notifies the user of the processing results. The notification may say something like, "Suspicious emails have been identified and the email filter has been strengthened." The notification is sent to the user's device. The input data is the result of the processing procedure, and the output data is the notification sent to the user.

[1121] Step 7:

[1122] The user receives a notification. The user checks the notification through the terminal and understands that the problem has been resolved. The output of this processing step is a notification to the user.

[1123] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1124] This invention provides a system for achieving more advanced mental care by combining a system that analyzes text entered by a user and automates appropriate procedures based on specific keywords with an emotion engine that recognizes the user's emotions. Specifically, the system aims to analyze the user's input text and emotional information, execute optimal procedures, and quickly and effectively solve problems. This system is composed of three entities: a server, a terminal, and a user.

[1125] 1. System Configuration

[1126] User Action:

[1127] 1. Users enter their concerns or problems into the system in text format.

[1128] 2. The terminal sends the user's input to the server.

[1129] Server Analysis:

[1130] 3. The server analyzes the received text data using natural language processing (NLP) technology.

[1131] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "pressured work."

[1132] Emotion Engine Operation:

[1133] 5. The server uses the emotion engine to recognize the user's emotion information from the text.

[1134] The emotion engine identifies the emotion of the input text and detects emotions such as "stress" or "anxiety."

[1135] Decision on processing procedures:

[1136] 6. The server determines the appropriate processing procedure based on specific keywords and emotional information.

[1137] Procedures for handling cases of power harassment:

[1138] 1. The server automatically connects to the company's internal reporting system based on the keyword "power harassment" and the emotional information of "high stress level."

[1139] 2. Report details of the user's concerns and emotional information to the reporting system and instruct appropriate countermeasure procedures.

[1140] 3. Receive feedback from the reporting system and automatically implement further procedures if necessary.

[1141] 4. The server notifies the user of the processing status and results.

[1142] Process during times of business pressure:

[1143] 1. The server issues instructions to carry out a work inventory based on the keyword "work pressure" and the emotional information "anxiety."

[1144] 2. The server analyzes the list of tasks and determines the workload.

[1145] 3. The server requests help from the relevant departments and monitors the progress.

[1146] 4. The server notifies the user of the processing status and results.

[1147] User Notice:

[1148] After the server has completed all the processing, it will notify the user and let them know how the problem has been resolved.

[1149] Counseling Offerings:

[1150] 1. The server suggests appropriate counseling and mental support to the user based on emotional information.

[1151] For example, we can help you make an appointment with a professional counselor or provide you with relaxation techniques.

[1152] To give a concrete example:

[1153] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and the emotion of "high stress level." Based on this information, the server contacts the company's reporting system, takes the necessary steps (such as expelling the boss) based on the feedback, and notifies the user. At the same time, it suggests providing appropriate counseling for the user's high stress level.

[1154] In another case, if a user inputs "I'm having trouble because my work is getting too tight," the server will detect the keyword "work is getting too tight" and the emotion of "anxiety." Based on this information, the server will conduct a work inventory and request help from the relevant departments. This will reduce the user's workload and notify them of the results of appropriate assistance. At the same time, it will suggest mental support, such as relaxation techniques, to alleviate the user's anxiety.

[1155] The system of the present invention automates these processes and provides quick and appropriate responses to users' concerns and problems, thereby protecting the mental health of employees and improving work efficiency.

[1156] The processing flow will be explained below.

[1157] Processing steps of a system that combines emotion engines

[1158] If you are having trouble with a boss who is abusive

[1159] Step 1:

[1160] The user enters into the system, "I'm having trouble with my boss who is abusive."

[1161] Step 2:

[1162] The terminal sends the user's input to the server.

[1163] Step 3:

[1164] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[1165] The input text is tokenized and the keyword "power harassment" is detected.

[1166] Step 4:

[1167] The server uses an emotion engine to recognize emotions from the input text.

[1168] The emotion engine detects emotions such as "high stress levels."

[1169] Step 5:

[1170] The server determines the appropriate course of action based on the keywords "power harassment" and "high stress level."

[1171] Step 6:

[1172] The server automatically connects to the company's internal reporting system.

[1173] The details of the trouble and emotional information obtained from the user are sent to a reporting system.

[1174] Step 7:

[1175] The reporting system receives reports and instructs on the necessary countermeasure procedures.

[1176] Step 8:

[1177] The server waits for feedback from the notification system and receives the results.

[1178] For example, you may receive feedback such as "The decision has been made to expel the superior."

[1179] Step 9:

[1180] The server will automatically perform any additional steps required.

[1181] Complete the necessary paperwork and approval process for the removal of a superior.

[1182] Step 10:

[1183] The server sends notifications to the user to inform them of the status of the process.

[1184] Step 11:

[1185] The server provides appropriate counseling and mental support based on emotional information.

[1186] For example, they might offer relaxation techniques or suggest scheduling an appointment with a professional counselor.

[1187] When business is tight

[1188] Step 1:

[1189] The user inputs "business is tight" into the system.

[1190] Step 2:

[1191] The terminal sends the user's input to the server.

[1192] Step 3:

[1193] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[1194] The input text is tokenized to detect the keyword "business is tight."

[1195] Step 4:

[1196] The server uses an emotion engine to recognize emotions from the input text.

[1197] The emotion engine detects emotions such as "anxiety."

[1198] Step 5:

[1199] The server determines the appropriate course of action based on the keywords "business is tight" and "anxiety."

[1200] Step 6:

[1201] The server issues instructions to perform the business inventory.

[1202] Extract a list of tasks and analyze the workload.

[1203] Step 7:

[1204] The server will ask the relevant department for help.

[1205] Create a list of help requests and distribute it to the relevant departments.

[1206] Step 8:

[1207] The server monitors the progress of the assignment help.

[1208] Track the progress of each department and monitor progress.

[1209] Step 9:

[1210] The server sends notifications to the user to inform them of the status of the process.

[1211] Step 10:

[1212] The server provides appropriate counseling and support based on the emotional information.

[1213] For example, providing stress reduction measures and mental health resources.

[1214] In this way, the system of the present invention analyzes user input, including emotional information, and automatically takes prompt and appropriate action, thereby making it possible to effectively improve the user's mental health.

[1215] Example 2

[1216] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1217] In conventional consultation systems, it was difficult to automatically determine and execute appropriate procedures when users entered their worries or problems. Furthermore, mental care that took into account the user's emotional information was not provided, making it difficult to resolve problems quickly and effectively. As a result, users' mental health was not adequately protected, and work efficiency sometimes declined.

[1218] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1219] In this invention, the server includes a means for analyzing text entered by a user using natural language processing, a means for detecting specific keywords from the analyzed text, and a means for determining and executing appropriate processing procedures based on the detected keywords and emotional information from an emotion engine. This enables prompt and appropriate responses to users' concerns and problems and provides mental care. Furthermore, if an input is made regarding power harassment, the system automatically connects to an internal reporting system to report the concern, and if an input is made regarding a work shortage, the system can perform a work inventory and request help from the relevant department. Furthermore, the system can notify users of the processing status and suggest counseling or mental support, thereby protecting employees' mental health and improving work efficiency.

[1220] A "user" is a person who inputs worries or problems into the system in text format.

[1221] "Natural language processing" is a technology that allows computers to understand, interpret, and generate human language.

[1222] "Text analysis" is the process of segmenting, classifying, and understanding input text.

[1223] "Keywords" are important words or phrases in text that trigger specific processing steps.

[1224] An "emotion engine" is a technology that identifies emotional information from input text and detects emotions such as stress and anxiety.

[1225] "Procedures" are specific countermeasures or actions taken based on specific keywords and emotional information.

[1226] The "reporting system" is an internal system for reporting internal issues such as power harassment and taking appropriate measures.

[1227] "Task inventory" is the process of analyzing the current task list and understanding the workload situation.

[1228] "Related departments" are other departments within the company that provide support for specific issues or tasks.

[1229] "Processing status notification" is a means of communication to inform the user of the progress and results of problem resolution.

[1230] "Counseling" is a service that provides psychological support and advice from professionals.

[1231] "Mental support" is a means of support to maintain and improve the user's mental health.

[1232] This invention is a system that analyzes text entered by a user and automates appropriate processing procedures based on specific keywords and emotional information. The system is composed of three entities: a server, a terminal, and a user. The specific operations and processing procedures for each are explained below.

[1233] System Configuration

[1234] This system aims to solve problems quickly and effectively by analyzing the text entered by the user using natural language processing (NLP) technology, recognizing emotional information using an emotion engine, and executing optimal processing procedures. This system uses the following hardware and software.

[1235] Hardware: Standard servers and end-user devices (e.g., PCs, smartphones)

[1236] Software: Python, NLTK library, IBM Watson sentiment analysis API

[1237] System Operation

[1238] User Action:

[1239] 1. The user enters their worries or problems into the system in text format. For example, consider the case where the user enters "I'm having trouble with power harassment by my boss."

[1240] 2. The device sends the entered text to the server. Specifically, the device sends the text data to the server in JSON format using an HTTP request.

[1241] Server Analysis:

[1242] 3. The server analyzes the received text data using Python's NLTK library, tokenizes the text, and performs grammatical analysis.

[1243] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "work pressure," and compares them with a pre-defined list.

[1244] Emotion Engine Operation:

[1245] 5. The server uses an emotion engine (IBM Watson's emotion analysis API) to recognize the user's emotional information from the text and detect emotions such as "stress" or "anxiety."

[1246] 6. The server determines the appropriate processing procedure based on the detected keywords and emotion information and performs the automated processing.

[1247] Examples of appropriate actions:

[1248] In the case of power harassment:

[1249] Based on the keywords "power harassment" and "high stress level," the server automatically connects to the company's internal reporting system and reports details of the user's concerns and emotional information.

[1250] Based on feedback from the reporting system, any additional procedures required will be automatically carried out.

[1251] The server notifies the user of the processing status and results.

[1252] If business is tight:

[1253] Based on the keyword "work pressure" and the emotional information of "anxiety," the server performs an inventory of work and requests help from related departments.

[1254] Analyze the task list and understand the workload situation.

[1255] The server notifies the user of the processing status and results.

[1256] User Notice:

[1257] The server will notify the user after all processing is complete and let them know how the problem is resolved.

[1258] Counseling Offerings:

[1259] 1. The server suggests appropriate counseling or mental support to the user based on the emotional information, such as making an appointment with a professional counselor or suggesting relaxation techniques.

[1260] Prompt Sentence Examples

[1261] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and "high stress level." Based on this information, the server will automatically contact the company's internal reporting system, take the necessary steps, and notify the user. At the same time, it will suggest appropriate counseling for the user's high stress level. The following is an example of a prompt that can be entered:

[1262] Example prompt sentence:

[1263] Please explain the procedure for automatically contacting the internal reporting system and suggesting counseling if the employee enters "I am having trouble with my boss who is abusive" and the system determines that the employee has a "high stress level."

[1264] By automating these processes, the system can respond quickly and appropriately to users' concerns and problems, protect employees' mental health, and improve work efficiency.

[1265] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1266] Step 1:

[1267] The user enters their worries and problems in text format.

[1268] Input: Text entered by the user (e.g., "I'm having trouble with power harassment by my boss.")

[1269] Action: A user enters text using the system's interface.

[1270] Output: The input text data

[1271] Step 2:

[1272] The terminal transmits the entered text to the server.

[1273] Input: Text data entered in step 1

[1274] How it works: The device sends text data in JSON format to the server using an HTTP request.

[1275] Output: Text data sent to the server

[1276] Step 3:

[1277] The server analyzes the received text data using natural language processing (NLP) technology.

[1278] Input: Text data sent from the terminal

[1279] How it works: The server uses Python's NLTK library to tokenize the text and perform grammatical analysis.

[1280] Output: Parsed text data

[1281] Step 4:

[1282] The server detects specific keywords from the parsed text.

[1283] Input: Text data parsed in step 3

[1284] How it works: The server compares the analysis results with a pre-set list to detect keywords (e.g., "power harassment" or "work pressure").

[1285] Output: A list of detected keywords

[1286] Step 5:

[1287] The server uses an emotion engine to recognize emotion information from the text.

[1288] Input: Text data parsed in step 3

[1289] How it works: The server uses IBM Watson's sentiment analysis API to identify sentiment from text and obtain a sentiment score.

[1290] Output: Identified emotion information (e.g., "high stress level," "anxiety")

[1291] Step 6:

[1292] The server determines and executes appropriate processing procedures based on the detected keywords and emotion information.

[1293] Input: The list of keywords detected in step 4 and the sentiment information identified in step 5

[1294] How it works: Based on specific keywords and sentiment information, a rules-based algorithm is used to determine the appropriate course of action.

[1295] Output: Appropriate processing procedures (e.g., linking to the reporting system, instructions for business inventory)

[1296] Procedures for handling cases of power harassment

[1297] Step 7:

[1298] The server automatically connects to an internal reporting system to report concerns based on the keywords "power harassment" and "high stress level."

[1299] Input: Detected keyword "power harassment", emotional information "high stress level"

[1300] Operation: Calls the API of the reporting system and sends the user's concerns and emotional information as a POST request.

[1301] Output: Confirmation of report sent to reporting system

[1302] Step 8:

[1303] The server receives feedback from the notification system and automatically performs further procedures.

[1304] Input: Feedback from the reporting system

[1305] Action: Based on the feedback received, automatically take any necessary additional steps (e.g., change superior).

[1306] Output: Execution result of the additional procedure

[1307] Processing procedures when business is tight

[1308] Step 9:

[1309] The server issues instructions to carry out a business inventory based on the keyword "business is tight" and the emotional information of "anxiety."

[1310] Input: Detected keyword "Work pressure" and emotional information "Anxiety"

[1311] What it does: Takes a list of tasks and runs an algorithm to identify the most demanding tasks.

[1312] Output: Workload status assessment results

[1313] Step 10:

[1314] The server requests help from the relevant departments and monitors the progress.

[1315] Input: Workload status assessment results

[1316] Action: Send email notifications or requests to the relevant departments via the ticket system. Periodically check the status to see the progress.

[1317] Output: Help request status and progress

[1318] Step 11:

[1319] The server will notify the user after all processing is complete and let them know how the problem is resolved.

[1320] Input: Processing procedure results

[1321] Action: Sends email and / or in-app notifications to the user to inform them of the status and results of the operation.

[1322] Output: Notification to the user

[1323] Providing counseling

[1324] Step 12:

[1325] The server proposes appropriate counseling and mental support to the user based on the emotional information.

[1326] Input: Identified emotional information (e.g., "high stress level")

[1327] Operation: Based on the user's emotional information, the system proposes appropriate counseling and mental support. For example, it links to a counseling reservation system to schedule an appointment.

[1328] Output: Counseling and mental support suggestions

[1329] (Application example 2)

[1330] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1331] Today, many users are increasingly turning to online virtual stores for assistance with products and services. However, traditional customer support systems often fail to consider users' feelings, leaving them feeling dissatisfied and stressed. Furthermore, lack of timely and appropriate procedures can increase users' anxiety and frustration. Therefore, there is an urgent need for a system that can respond quickly and accurately while taking users' feelings into consideration.

[1332] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1333] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, means for determining and executing an appropriate procedure based on the detected keywords, means for reporting a concern in conjunction with the specific procedure as the appropriate procedure, means for executing a procedure to reduce work load and requesting necessary support, means for notifying the user of the processing status, means for recognizing the user's emotional information from the text using an emotion engine, and means for providing counseling or mental support based on the recognized emotional information. This makes it possible to understand the user's feelings and respond quickly and appropriately.

[1334] Write a definition for each of the following important words:

[1335] "User" refers to any individual or legal entity that uses the System.

[1336] "Text" refers to sentence data entered by the user.

[1337] "Natural language processing" is a general term for technologies that allow computers to understand, analyze, and generate human language.

[1338] "Analyzing" refers to the process of using specific algorithms on input data to extract, classify, and transform information.

[1339] "Keywords" are words or phrases in the analyzed text that have a particular meaning or importance.

[1340] "Emotion engine" refers to software or algorithms for recognizing and assigning emotional states from user-entered text.

[1341] A "procedure" is a set of operations or actions that a system performs based on specific inputs or circumstances.

[1342] "Automatic collaboration" refers to a system automatically exchanging information and interacting with other systems or services based on predefined conditions.

[1343] "Reporting system" refers to an internal or external infrastructure for reporting and responding to problems or anomalies.

[1344] "Work inventory" refers to the process of organizing and reevaluating current workloads and tasks.

[1345] "Asking for help" refers to asking for help or assistance with a specific problem or task.

[1346] "Notifying" refers to sending specific information or messages to a user.

[1347] "Counselling" refers to the provision of emotional and psychological support and advice.

[1348] "Mental support" refers to a variety of services and resources offered to support users' mental health.

[1349] This invention relates to a system that analyzes the content entered by the user in text format and automatically executes appropriate processing procedures. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, a system that provides more advanced mental care can be realized.

[1350] First, the user inputs their problems and worries in text format using a device such as a smartphone or head-mounted display, and sends it to the system. The device then sends this input text to the server in real time.

[1351] The server uses the Google Cloud Natural Language API to analyze the received text data using natural language processing technology. This analysis extracts specific keywords from the text, such as "returned product" or "item not received."

[1352] The server then uses the IBM Watson Emotional Analysis API to recognize the user's emotional information from the text. The emotion engine detects emotions such as "anxiety" or "irritation."

[1353] The server determines the appropriate processing procedure based on the detected keywords and emotional information. For example, if it detects the keyword "item not delivered" and the emotional emotion "anxiety," it will initiate a prompt delivery procedure for the item. It also provides counseling or mental support if necessary, depending on the emotional information recognized.

[1354] Regarding the counseling function, if the user is feeling very stressed, the system will suggest making an appointment with a professional counselor or suggest ways to relax based on emotional information.

[1355] The system will proceed with the processing based on the information entered by the user, constantly monitor the progress, and notify the user of the processing status in a timely manner.

[1356] The hardware used includes a smartphone and a head-mounted display, and the software includes the Google Cloud Natural Language API, IBM Watson Emotional Analysis API, WebSocket communication technology, and a Firebase database.

[1357] Specific examples of prompts include:

[1358] If the user enters text like this:

[1359] "I'm in trouble because my item hasn't arrived yet. I'm very worried."

[1360] In this case, the text is sent via WebSocket to a server that analyzes the text and sentiment using the Google Cloud Natural Language API and IBM Watson Emotional Analysis API, and based on the results, an appropriate response is automatically selected and notified to the user.

[1361] In this way, the present invention provides a system that understands the user's feelings and responds quickly and appropriately.

[1362] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1363] Step 1:

[1364] Users input their worries and problems in text format using devices such as smartphones or head-mounted displays. This text describes in detail the problems they are facing.

[1365] Input: User-entered text

[1366] Output: The input text data

[1367] Step 2:

[1368] The device sends the text entered by the user to the server in real time, using WebSocket for this data communication.

[1369] Input: User-entered text data

[1370] Output: Data sent to the server

[1371] Step 3:

[1372] The server analyzes the received text data using the Google Cloud Natural Language API, extracting specific keywords (e.g., "item not received" or "returned product") from the text.

[1373] Input: User-entered text data

[1374] Output: Extracted keywords

[1375] Step 4:

[1376] The server uses the IBM Watson Emotional Analysis API to recognize the user's emotional information from the text. The emotion engine detects emotions such as "anxiety" and "irritation."

[1377] Input: User-entered text data

[1378] Output: Recognized emotion information

[1379] Step 5:

[1380] The server determines the appropriate procedure based on the detected keywords and emotion information. For example, if the keyword "item not delivered" and the emotion "anxiety" are detected, the server will initiate a prompt delivery procedure for the item.

[1381] Input: extracted keywords and recognized emotion information

[1382] Output: Judgment result of appropriate processing procedure

[1383] Step 6:

[1384] The server will also provide counseling and mental support if needed. For example, if it detects high levels of stress, it will book an appointment with a professional counselor or suggest ways to relax.

[1385] Input: Recognized emotion information

[1386] Output: Proposal to provide counseling or mental support

[1387] Step 7:

[1388] The server processes the transaction based on the information entered by the user and constantly monitors its progress.

[1389] Input: Processing procedure decision result

[1390] Output: Progress monitoring data

[1391] Step 8:

[1392] The server notifies the user of the progress of the processing procedure in a timely manner, allowing the user to grasp the current status in real time.

[1393] Input: Progress monitoring data

[1394] Output: A message to inform the user

[1395] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1396] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1397] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1398] [Fourth embodiment]

[1399] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1400] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1401] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1402] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1403] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1404] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1405] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1406] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1407] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1408] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1409] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1410] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1411] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1412] This invention provides a system that analyzes text entered by users and automates appropriate processing procedures based on specific keywords. The purpose of this is to quickly and efficiently resolve users' concerns and problems. This system is composed of three parties: a server, a terminal, and a user.

[1413] 1. System Configuration

[1414] User Action:

[1415] 1. Users enter their concerns or problems into the system in text format.

[1416] 2. The terminal sends the user's input to the server.

[1417] Server Analysis:

[1418] 3. The server analyzes the received text data using natural language processing (NLP) technology.

[1419] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "pressured work."

[1420] 5. Based on the detected keywords, the server determines the appropriate processing procedure and begins executing it.

[1421] Specifically, the following cases are possible:

[1422] Procedures for handling cases of power harassment:

[1423] 1. If the server detects the keyword "power harassment," it will automatically connect to the company's internal reporting system.

[1424] 2. Report the details of the user's problem to the reporting system and instruct them on the appropriate countermeasure procedures.

[1425] 3. Receive feedback from the reporting system and automatically implement further procedures if necessary.

[1426] 4. The server notifies the user of the processing status and results.

[1427] Process during times of business pressure:

[1428] 1. If the server detects the keyword "business is tight," it issues an instruction to perform a business inventory.

[1429] 2. The server analyzes the list of tasks and determines the workload.

[1430] 3. The server requests help from the relevant departments and monitors the progress.

[1431] 4. The server notifies the user of the processing status and results.

[1432] User Notice:

[1433] After the server has completed all the processing, it will notify the user and let them know how the problem has been resolved.

[1434] To give a concrete example:

[1435] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and connect it to the company's reporting system. Then, based on feedback from the hotline, the server will take the necessary steps (such as expelling the boss) and notify the user.

[1436] In another case, if a user inputs "I'm in trouble because my workload is tight," the server will detect the keyword "work is tight," conduct a workload inventory, and request help from the relevant departments. This will reduce the user's workload and notify them of the results of appropriate assistance.

[1437] The system of the present invention automates these processes and responds quickly to users' concerns and problems, thereby protecting employees' mental health and improving work efficiency.

[1438] The processing flow will be explained below.

[1439] Steps to take if you are in trouble with a boss who is abusive

[1440] Step 1:

[1441] The user enters into the system, "I'm having trouble with my boss who is abusive."

[1442] Step 2:

[1443] The terminal sends the user's input to the server.

[1444] Step 3:

[1445] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[1446] Specifically, the input text is tokenized and the keyword "power harassment" is detected.

[1447] Step 4:

[1448] The server determines the appropriate action to take based on the keyword "power harassment."

[1449] Step 5:

[1450] The server automatically connects to the company's internal reporting system.

[1451] The details of the problem obtained from the user are sent to a reporting system.

[1452] Step 6:

[1453] The reporting system receives reports and instructs on the necessary countermeasure procedures.

[1454] Step 7:

[1455] The server waits for feedback from the notification system and receives the results.

[1456] For example, you may receive feedback such as "The decision has been made to expel the superior."

[1457] Step 8:

[1458] The server will automatically perform any additional steps required.

[1459] Specifically, they will prepare the necessary paperwork and carry out the approval process for removing a superior.

[1460] Step 9:

[1461] The server sends notifications to the user to inform them of the status of the process.

[1462] Steps to take when business is tight

[1463] Step 1:

[1464] The user inputs "business is tight" into the system.

[1465] Step 2:

[1466] The terminal sends the user's input to the server.

[1467] Step 3:

[1468] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[1469] Specifically, the input text is tokenized and the keyword "business is tight" is detected.

[1470] Step 4:

[1471] The server determines the appropriate action to take based on the keyword "business is under pressure."

[1472] Step 5:

[1473] The server issues instructions to perform the business inventory.

[1474] Extract a list of tasks and analyze the workload of each task.

[1475] Step 6:

[1476] The server will ask the relevant department for help.

[1477] Specifically, the necessary help content is listed and distributed to the relevant departments.

[1478] Step 7:

[1479] The server monitors the progress of the assignment help.

[1480] For example, track the response status of each department and check progress.

[1481] Step 8:

[1482] The server sends notifications to the user to inform them of the status of the process.

[1483] In this way, specific operations are performed at each processing step, and a prompt and appropriate response is implemented to the user's concerns and problems.

[1484] Example 1

[1485] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1486] Responding quickly and efficiently to employee concerns and workloads is important for maintaining organizational productivity and employee mental health. However, when an employee reports harassment to their supervisor or when the workload is heavy, appropriate action is often delayed. This situation can further exacerbate the problem and lower employee morale. Therefore, the present invention aims to provide a system that quickly responds to concerns and problems entered by users and guides them to appropriate procedures, thereby improving employee mental health and work efficiency.

[1487] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1488] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, and means for determining and executing appropriate processing procedures based on the detected keywords. This enables appropriate processing procedures to be automatically executed for problems or concerns entered by employees. Furthermore, the server includes means for automatically linking with an internal reporting system to report a problem when an input related to harassment is made based on the detected keywords, means for performing a work inventory and requesting support from relevant departments when an input related to workload is made, and means for notifying the user of the processing status. This ensures that user concerns and problems are addressed promptly and appropriately. Furthermore, the server also includes means for automatically executing additional procedures based on feedback from the internal reporting system and means for monitoring the support status for processing procedures based on keywords detected from the user's input and providing feedback to the user, thereby improving the accuracy and effectiveness of problem resolution.

[1489] "User" refers to an individual or member of an organization who uses the system.

[1490] "Text" refers to sentences or character strings entered by the user.

[1491] "Natural language processing" refers to the technology of analyzing digital text data and understanding and interpreting human language.

[1492] "Keywords" refer to words or phrases extracted from the analyzed text that serve as the basis for specific processing or judgment.

[1493] "Procedure" refers to a series of operations or procedures that are automatically performed based on detected keywords.

[1494] "Harassment" refers to bullying or other acts of harassment in the workplace or within an organization.

[1495] "Reporting system" refers to a system for reporting misconduct or problems within an organization.

[1496] "Workload" refers to a situation in which the workload exceeds a certain limit and places an excessive burden on employees.

[1497] "Inventory" refers to the process of organizing business operations and resources and understanding the current situation.

[1498] "Support" refers to other departments and employees cooperating and supporting specific issues or tasks.

[1499] "Feedback" refers to providing information about the outcome and progress of a processing procedure.

[1500] "Monitoring" refers to the continuous observation of the progress of a particular task or process.

[1501] This invention provides a system that analyzes text entered by a user and automates appropriate processing procedures based on specific keywords. This system is composed of three entities: a server, a terminal, and a user.

[1502] User Action:

[1503] Users enter their worries and problems into the system in text format. This text is entered into an input form on the terminal, and the contents proceed to the next step by pressing the send button.

[1504] Terminal behavior:

[1505] The device sends the text entered by the user to the server using an HTTP POST request. The device waits for the text data before sending it and confirms that the transmission is complete.

[1506] Server Analysis:

[1507] The server performs natural language processing (NLP) on the received text data. Specifically, it analyzes the text using services such as Google Cloud Natural Language API. During the analysis process, the server extracts the grammar, meaning, and sentiment of the text, and detects specific keywords based on the analysis results.

[1508] Keyword detection:

[1509] The server detects specific keywords from the analysis results. In this step, it matches the text with a list of keywords (e.g., "harassment," "workload," etc.).

[1510] Determining and implementing appropriate processing procedures:

[1511] The server determines the appropriate handling procedure based on the detected keyword and begins to implement it. For example, if the keyword "harassment" is detected, the server automatically connects to the organization's reporting system and reports the details of the problem. If the keyword "workload" is detected, the server will perform an inventory of work and request assistance from the relevant department. This allows users' concerns and problems to be handled quickly and efficiently.

[1512] User Notice:

[1513] After all processing is completed, the server notifies the user of the processing results via email or internal messenger (such as Slack or Microsoft Teams).

[1514] As a specific example, if a user types "I've been having trouble with harassment from my boss lately," the server will detect the keyword "harassment" and connect to the organization's reporting system. The server then takes the necessary steps based on feedback from the reporting system and notifies the user. In another case, if a user types "I'm having trouble with my workload," the server will detect the keyword "workload," conduct a workload inventory, and request assistance from the relevant department. In this way, the user's workload can be reduced and the server will notify them of the results of appropriate assistance.

[1515] Example prompt sentence:

[1516] "My boss is harassing me and I want to know what to do about it."

[1517] "Recently, my workload has increased and I'm struggling to keep up. I'd like to ask for help."

[1518] The system analyzes user input and resolves issues quickly and appropriately, protecting employees' mental health and improving work efficiency.

[1519] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1520] Step 1:

[1521] The user inputs their worries or problems into the device in text format. For example, the user might input, "Recently, I've been having trouble with harassment from my boss." The device prepares the input text for transmission. The input is the user's text data, and the output is the storage of the text data within the device.

[1522] Step 2:

[1523] The terminal sends the text entered by the user to the server via an HTTP POST request. The terminal displays a message to notify the user that the transmission is complete. The input is the text data stored in step 1, and the output is the text data sent to the server.

[1524] Step 3:

[1525] The server stores the received text data and prepares it for analysis. The server generates a confirmation log stating, "Text data has been received." The input is the text data sent from the terminal, and the output is the text data stored in the server and the confirmation log.

[1526] Step 4:

[1527] The server starts natural language processing (NLP) on the received text data. Specifically, it calls the Google Cloud Natural Language API to perform analysis. The server records a log message saying "Starting analysis" and sends the analysis results to the next step. The input is the text data stored on the server, and the output is the analysis results of the text data.

[1528] Step 5:

[1529] The server detects specific keywords from the analysis results, extracts keywords such as "harassment" from the analyzed text, and generates a log stating "XX keyword was detected." The input is the analysis results, and the output is the detected keywords and the detection log.

[1530] Step 6:

[1531] The server determines the appropriate processing procedure based on the detected keyword and begins executing it. For example, if "harassment" is detected, it calls the reporting system API and generates a log stating "We will connect to the internal reporting system." The input is the detected keyword, and the output is the data sent to the reporting system and the processing log.

[1532] Step 7:

[1533] The server receives feedback from the notification system. The server records a log saying "Feedback from the notification system has been received" and automatically executes further procedures as necessary. The input is the feedback data from the notification system, and the output is a log of the additional procedures that were automatically executed.

[1534] Step 8:

[1535] After all processing is complete, the server notifies the user of the processing results. The server sends the results via email or internal messenger and generates a log stating "A result notification email has been sent." The input is the processing result data, and the output is the notification sent to the user and the notification log.

[1536] This allows the system to respond quickly and efficiently to users' concerns and problems.

[1537] (Application example 1)

[1538] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1539] This invention relates to a system that quickly and efficiently solves worries and problems entered by users in text format. In particular, this system addresses not only workplace harassment and work pressure, but also security-related issues. The objectives of this system are to protect employees' mental health, improve work efficiency, and strengthen information security.

[1540] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1541] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, and means for determining and executing appropriate processing procedures based on the detected keywords. This makes it possible to quickly respond to user concerns and problems, and to not only deal with power harassment and work pressures, but also to perform security checks to strengthen email filters when security-related input is made.

[1542] "Text" is information in the form of a string entered by the user.

[1543] "Natural language processing" is a technology that allows computers to understand and analyze human language.

[1544] "Keywords" are significant words or phrases extracted from the analyzed text.

[1545] A "procedure" is a series of actions the system takes based on detected keywords.

[1546] "Power harassment" is a type of harassment based on power relationships in the workplace.

[1547] A "reporting system" is a system for reporting internal problems and providing solutions.

[1548] "Work pressure" refers to a situation in which work is overly concentrated and employees feel overwhelmed.

[1549] "Inventory" is the process of organizing and understanding the current business situation.

[1550] "Requesting help" means asking for assistance from relevant departments.

[1551] A "security check" is a process for verifying the safety of information and systems.

[1552] An "email filter" is a system that classifies or blocks incoming emails based on specific criteria.

[1553] "Notification" is a message that notifies the user of the processing status or results.

[1554] The system of the present invention analyzes text entered by a user using natural language processing technology and automatically executes appropriate processing procedures based on specific keywords. This system is composed of three parties: a server, a terminal, and a user, and operates in the following manner.

[1555] First, the user enters their worries or problems into the device in text format. The device then sends this text data to the server. The server then analyzes the received text using natural language processing (NLP) to detect specific keywords. The NLP technology used includes spaCy's Japanese model, which can analyze Japanese.

[1556] When the server detects a specific keyword from the analyzed text, it determines and executes the appropriate processing procedure based on that keyword. For example, if the keyword "power harassment" is detected, the server will connect to the internal reporting system and execute a process to report the user's concerns. If the keyword "work pressure" is detected, the server will instruct an inventory of work and execute a process to request help from the relevant department. Furthermore, if the keyword "suspicious email" is detected, the server will execute a security check and take measures to strengthen the email filter.

[1557] The server notifies the user of the progress and results of the processing procedure, and the notifications are sent to the terminal used by the user so that the user can easily check them.

[1558] Specific examples

[1559] For example, if a user types "I've been receiving an increasing number of suspicious emails lately," the device sends this text data to the server. The server uses NLP technology to analyze the text data and detects the keyword "suspicious email." The server then performs a security check and compares it with lists of spam and phishing email addresses. After appropriate measures are taken, the server notifies the user of the results of the processing. This notification may include content such as "Suspicious emails have been identified and the email filter has been strengthened."

[1560] Prompt Sentence Examples

[1561] If a user types "I've been receiving more and more suspicious emails lately," the text will be recognized as containing the keyword "suspicious email," and a security check will be performed recommending strengthening email filters.

[1562] Example prompt:

[1563] A user types in, "I've been receiving more and more suspicious emails lately." In this case, what measures would be appropriate?

[1564] By using these specific examples and example prompts as a reference, the system can automatically provide a quick and appropriate response to the user's concerns and problems.

[1565] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1566] Step 1:

[1567] The user inputs text data. The user inputs their worries or problems in natural language and sends it to the terminal. For example, the input might be the text "I've been receiving an increasing number of suspicious emails recently."

[1568] Step 2:

[1569] The terminal sends the entered text data to the server. The data sent is the text exactly as entered by the user.

[1570] Step 3:

[1571] The server analyzes the received text data using natural language processing (NLP). The server uses spaCy's Japanese model to perform morphological analysis of the text data and extract keywords. The input data is text, and the output data is the extracted keywords.

[1572] Step 4:

[1573] The server determines the processing procedure based on the extracted keywords. For example, if the keyword "suspicious email" is included, it decides to perform a security check. This decision is based on the detected keywords.

[1574] Step 5:

[1575] The server performs a security check, which involves comparing the email with spam and phishing email lists to assess risk. The input data is the detected keywords and the user's input text, and the output data is the result of the security check.

[1576] Step 6:

[1577] The server notifies the user of the processing results. The notification may say something like, "Suspicious emails have been identified and the email filter has been strengthened." The notification is sent to the user's device. The input data is the result of the processing procedure, and the output data is the notification sent to the user.

[1578] Step 7:

[1579] The user receives a notification. The user checks the notification through the terminal and understands that the problem has been resolved. The output of this processing step is a notification to the user.

[1580] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1581] This invention provides a system for achieving more advanced mental care by combining a system that analyzes text entered by a user and automates appropriate procedures based on specific keywords with an emotion engine that recognizes the user's emotions. Specifically, the system aims to analyze the user's input text and emotional information, execute optimal procedures, and quickly and effectively solve problems. This system is composed of three entities: a server, a terminal, and a user.

[1582] 1. System Configuration

[1583] User Action:

[1584] 1. Users enter their concerns or problems into the system in text format.

[1585] 2. The terminal sends the user's input to the server.

[1586] Server Analysis:

[1587] 3. The server analyzes the received text data using natural language processing (NLP) technology.

[1588] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "pressured work."

[1589] Emotion Engine Operation:

[1590] 5. The server uses the emotion engine to recognize the user's emotion information from the text.

[1591] The emotion engine identifies the emotion of the input text and detects emotions such as "stress" or "anxiety."

[1592] Decision on processing procedures:

[1593] 6. The server determines the appropriate processing procedure based on specific keywords and emotional information.

[1594] Procedures for handling cases of power harassment:

[1595] 1. The server automatically connects to the company's internal reporting system based on the keyword "power harassment" and the emotional information of "high stress level."

[1596] 2. Report details of the user's concerns and emotional information to the reporting system and instruct appropriate countermeasure procedures.

[1597] 3. Receive feedback from the reporting system and automatically implement further procedures if necessary.

[1598] 4. The server notifies the user of the processing status and results.

[1599] Process during times of business pressure:

[1600] 1. The server issues instructions to carry out a work inventory based on the keyword "work pressure" and the emotional information "anxiety."

[1601] 2. The server analyzes the list of tasks and determines the workload.

[1602] 3. The server requests help from the relevant departments and monitors the progress.

[1603] 4. The server notifies the user of the processing status and results.

[1604] User Notice:

[1605] After the server has completed all the processing, it will notify the user and let them know how the problem has been resolved.

[1606] Counseling Offerings:

[1607] 1. The server suggests appropriate counseling and mental support to the user based on emotional information.

[1608] For example, we can help you make an appointment with a professional counselor or provide you with relaxation techniques.

[1609] To give a concrete example:

[1610] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and the emotion of "high stress level." Based on this information, the server contacts the company's reporting system, takes the necessary steps (such as expelling the boss) based on the feedback, and notifies the user. At the same time, it suggests providing appropriate counseling for the user's high stress level.

[1611] In another case, if a user inputs "I'm having trouble because my work is getting too tight," the server will detect the keyword "work is getting too tight" and the emotion of "anxiety." Based on this information, the server will conduct a work inventory and request help from the relevant departments. This will reduce the user's workload and notify them of the results of appropriate assistance. At the same time, it will suggest mental support, such as relaxation techniques, to alleviate the user's anxiety.

[1612] The system of the present invention automates these processes and provides quick and appropriate responses to users' concerns and problems, thereby protecting the mental health of employees and improving work efficiency.

[1613] The processing flow will be explained below.

[1614] Processing steps of a system that combines emotion engines

[1615] If you are having trouble with a boss who is abusive

[1616] Step 1:

[1617] The user enters into the system, "I'm having trouble with my boss who is abusive."

[1618] Step 2:

[1619] The terminal sends the user's input to the server.

[1620] Step 3:

[1621] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[1622] The input text is tokenized and the keyword "power harassment" is detected.

[1623] Step 4:

[1624] The server uses an emotion engine to recognize emotions from the input text.

[1625] The emotion engine detects emotions such as "high stress levels."

[1626] Step 5:

[1627] The server determines the appropriate course of action based on the keywords "power harassment" and "high stress level."

[1628] Step 6:

[1629] The server automatically connects to the company's internal reporting system.

[1630] The details of the trouble and emotional information obtained from the user are sent to a reporting system.

[1631] Step 7:

[1632] The reporting system receives reports and instructs on the necessary countermeasure procedures.

[1633] Step 8:

[1634] The server waits for feedback from the notification system and receives the results.

[1635] For example, you may receive feedback such as "The decision has been made to expel the superior."

[1636] Step 9:

[1637] The server will automatically perform any additional steps required.

[1638] Complete the necessary paperwork and approval process for the removal of a superior.

[1639] Step 10:

[1640] The server sends notifications to the user to inform them of the status of the process.

[1641] Step 11:

[1642] The server provides appropriate counseling and mental support based on emotional information.

[1643] For example, they might offer relaxation techniques or suggest scheduling an appointment with a professional counselor.

[1644] When business is tight

[1645] Step 1:

[1646] The user inputs "business is tight" into the system.

[1647] Step 2:

[1648] The terminal sends the user's input to the server.

[1649] Step 3:

[1650] The server receives the user's input and begins to analyze it using natural language processing (NLP).

[1651] The input text is tokenized to detect the keyword "business is tight."

[1652] Step 4:

[1653] The server uses an emotion engine to recognize emotions from the input text.

[1654] The emotion engine detects emotions such as "anxiety."

[1655] Step 5:

[1656] The server determines the appropriate course of action based on the keywords "business is tight" and "anxiety."

[1657] Step 6:

[1658] The server issues instructions to perform the business inventory.

[1659] Extract a list of tasks and analyze the workload.

[1660] Step 7:

[1661] The server will ask the relevant department for help.

[1662] Create a list of help requests and distribute it to the relevant departments.

[1663] Step 8:

[1664] The server monitors the progress of the assignment help.

[1665] Track the progress of each department and monitor progress.

[1666] Step 9:

[1667] The server sends notifications to the user to inform them of the status of the process.

[1668] Step 10:

[1669] The server provides appropriate counseling and support based on the emotional information.

[1670] For example, providing stress reduction measures and mental health resources.

[1671] In this way, the system of the present invention analyzes user input, including emotional information, and automatically takes prompt and appropriate action, thereby making it possible to effectively improve the user's mental health.

[1672] Example 2

[1673] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1674] In conventional consultation systems, it was difficult to automatically determine and execute appropriate procedures when users entered their worries or problems. Furthermore, mental care that took into account the user's emotional information was not provided, making it difficult to resolve problems quickly and effectively. As a result, users' mental health was not adequately protected, and work efficiency sometimes declined.

[1675] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1676] In this invention, the server includes a means for analyzing text entered by a user using natural language processing, a means for detecting specific keywords from the analyzed text, and a means for determining and executing appropriate processing procedures based on the detected keywords and emotional information from an emotion engine. This enables prompt and appropriate responses to users' concerns and problems and provides mental care. Furthermore, if an input is made regarding power harassment, the system automatically connects to an internal reporting system to report the concern, and if an input is made regarding a work shortage, the system can perform a work inventory and request help from the relevant department. Furthermore, the system can notify users of the processing status and suggest counseling or mental support, thereby protecting employees' mental health and improving work efficiency.

[1677] A "user" is a person who inputs worries or problems into the system in text format.

[1678] "Natural language processing" is a technology that allows computers to understand, interpret, and generate human language.

[1679] "Text analysis" is the process of segmenting, classifying, and understanding input text.

[1680] "Keywords" are important words or phrases in text that trigger specific processing steps.

[1681] An "emotion engine" is a technology that identifies emotional information from input text and detects emotions such as stress and anxiety.

[1682] "Procedures" are specific countermeasures or actions taken based on specific keywords and emotional information.

[1683] The "reporting system" is an internal system for reporting internal issues such as power harassment and taking appropriate measures.

[1684] "Task inventory" is the process of analyzing the current task list and understanding the workload situation.

[1685] "Related departments" are other departments within the company that provide support for specific issues or tasks.

[1686] "Processing status notification" is a means of communication to inform the user of the progress and results of problem resolution.

[1687] "Counseling" is a service that provides psychological support and advice from professionals.

[1688] "Mental support" is a means of support to maintain and improve the user's mental health.

[1689] This invention is a system that analyzes text entered by a user and automates appropriate processing procedures based on specific keywords and emotional information. The system is composed of three entities: a server, a terminal, and a user. The specific operations and processing procedures for each are explained below.

[1690] System Configuration

[1691] This system aims to solve problems quickly and effectively by analyzing the text entered by the user using natural language processing (NLP) technology, recognizing emotional information using an emotion engine, and executing optimal processing procedures. This system uses the following hardware and software.

[1692] Hardware: Standard servers and end-user devices (e.g., PCs, smartphones)

[1693] Software: Python, NLTK library, IBM Watson sentiment analysis API

[1694] System Operation

[1695] User Action:

[1696] 1. The user enters their worries or problems into the system in text format. For example, consider the case where the user enters "I'm having trouble with power harassment by my boss."

[1697] 2. The device sends the entered text to the server. Specifically, the device sends the text data to the server in JSON format using an HTTP request.

[1698] Server Analysis:

[1699] 3. The server analyzes the received text data using Python's NLTK library, tokenizes the text, and performs grammatical analysis.

[1700] 4. The server detects specific keywords from the analysis results, such as "power harassment" or "work pressure," and compares them with a pre-defined list.

[1701] Emotion Engine Operation:

[1702] 5. The server uses an emotion engine (IBM Watson's emotion analysis API) to recognize the user's emotional information from the text and detect emotions such as "stress" or "anxiety."

[1703] 6. The server determines the appropriate processing procedure based on the detected keywords and emotion information and performs the automated processing.

[1704] Examples of appropriate actions:

[1705] In the case of power harassment:

[1706] Based on the keywords "power harassment" and "high stress level," the server automatically connects to the company's internal reporting system and reports details of the user's concerns and emotional information.

[1707] Based on feedback from the reporting system, any additional procedures required will be automatically carried out.

[1708] The server notifies the user of the processing status and results.

[1709] If business is tight:

[1710] Based on the keyword "work pressure" and the emotional information of "anxiety," the server performs an inventory of work and requests help from related departments.

[1711] Analyze the task list and understand the workload situation.

[1712] The server notifies the user of the processing status and results.

[1713] User Notice:

[1714] The server will notify the user after all processing is complete and let them know how the problem is resolved.

[1715] Counseling Offerings:

[1716] 1. The server suggests appropriate counseling or mental support to the user based on the emotional information, such as making an appointment with a professional counselor or suggesting relaxation techniques.

[1717] Prompt Sentence Examples

[1718] For example, if a user enters "I'm having trouble with my boss who is abusive," the server will detect the keyword "power harassment" and "high stress level." Based on this information, the server will automatically contact the company's internal reporting system, take the necessary steps, and notify the user. At the same time, it will suggest appropriate counseling for the user's high stress level. The following is an example of a prompt that can be entered:

[1719] Example prompt sentence:

[1720] Please explain the procedure for automatically contacting the internal reporting system and suggesting counseling if the employee enters "I am having trouble with my boss who is abusive" and the system determines that the employee has a "high stress level."

[1721] By automating these processes, the system can respond quickly and appropriately to users' concerns and problems, protect employees' mental health, and improve work efficiency.

[1722] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1723] Step 1:

[1724] The user enters their worries and problems in text format.

[1725] Input: Text entered by the user (e.g., "I'm having trouble with power harassment by my boss.")

[1726] Action: A user enters text using the system's interface.

[1727] Output: The input text data

[1728] Step 2:

[1729] The terminal transmits the entered text to the server.

[1730] Input: Text data entered in step 1

[1731] How it works: The device sends text data in JSON format to the server using an HTTP request.

[1732] Output: Text data sent to the server

[1733] Step 3:

[1734] The server analyzes the received text data using natural language processing (NLP) technology.

[1735] Input: Text data sent from the terminal

[1736] How it works: The server uses Python's NLTK library to tokenize the text and perform grammatical analysis.

[1737] Output: Parsed text data

[1738] Step 4:

[1739] The server detects specific keywords from the parsed text.

[1740] Input: Text data parsed in step 3

[1741] How it works: The server compares the analysis results with a pre-set list to detect keywords (e.g., "power harassment" or "work pressure").

[1742] Output: A list of detected keywords

[1743] Step 5:

[1744] The server uses an emotion engine to recognize emotion information from the text.

[1745] Input: Text data parsed in step 3

[1746] How it works: The server uses IBM Watson's sentiment analysis API to identify sentiment from text and obtain a sentiment score.

[1747] Output: Identified emotion information (e.g., "high stress level," "anxiety")

[1748] Step 6:

[1749] The server determines and executes appropriate processing procedures based on the detected keywords and emotion information.

[1750] Input: The list of keywords detected in step 4 and the sentiment information identified in step 5

[1751] How it works: Based on specific keywords and sentiment information, a rules-based algorithm is used to determine the appropriate course of action.

[1752] Output: Appropriate processing procedures (e.g., linking to the reporting system, instructions for business inventory)

[1753] Procedures for handling cases of power harassment

[1754] Step 7:

[1755] The server automatically connects to an internal reporting system to report concerns based on the keywords "power harassment" and "high stress level."

[1756] Input: Detected keyword "power harassment", emotional information "high stress level"

[1757] Operation: Calls the API of the reporting system and sends the user's concerns and emotional information as a POST request.

[1758] Output: Confirmation of report sent to reporting system

[1759] Step 8:

[1760] The server receives feedback from the notification system and automatically performs further procedures.

[1761] Input: Feedback from the reporting system

[1762] Action: Based on the feedback received, automatically take any necessary additional steps (e.g., change superior).

[1763] Output: Execution result of the additional procedure

[1764] Processing procedures when business is tight

[1765] Step 9:

[1766] The server issues instructions to carry out a business inventory based on the keyword "business is tight" and the emotional information of "anxiety."

[1767] Input: Detected keyword "Work pressure" and emotional information "Anxiety"

[1768] What it does: Takes a list of tasks and runs an algorithm to identify the most demanding tasks.

[1769] Output: Workload status assessment results

[1770] Step 10:

[1771] The server requests help from the relevant departments and monitors the progress.

[1772] Input: Workload status assessment results

[1773] Action: Send email notifications or requests to the relevant departments via the ticket system. Periodically check the status to see the progress.

[1774] Output: Help request status and progress

[1775] Step 11:

[1776] The server will notify the user after all processing is complete and let them know how the problem is resolved.

[1777] Input: Processing procedure results

[1778] Action: Sends email and / or in-app notifications to the user to inform them of the status and results of the operation.

[1779] Output: Notification to the user

[1780] Providing counseling

[1781] Step 12:

[1782] The server proposes appropriate counseling and mental support to the user based on the emotional information.

[1783] Input: Identified emotional information (e.g., "high stress level")

[1784] Operation: Based on the user's emotional information, the system proposes appropriate counseling and mental support. For example, it links to a counseling reservation system to schedule an appointment.

[1785] Output: Counseling and mental support suggestions

[1786] (Application example 2)

[1787] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1788] Today, many users are increasingly turning to online virtual stores for assistance with products and services. However, traditional customer support systems often fail to consider users' feelings, leaving them feeling dissatisfied and stressed. Furthermore, lack of timely and appropriate procedures can increase users' anxiety and frustration. Therefore, there is an urgent need for a system that can respond quickly and accurately while taking users' feelings into consideration.

[1789] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1790] In this invention, the server includes means for analyzing text entered by a user using natural language processing, means for detecting specific keywords from the analyzed text, means for determining and executing an appropriate procedure based on the detected keywords, means for reporting a concern in conjunction with the specific procedure as the appropriate procedure, means for executing a procedure to reduce work load and requesting necessary support, means for notifying the user of the processing status, means for recognizing the user's emotional information from the text using an emotion engine, and means for providing counseling or mental support based on the recognized emotional information. This makes it possible to understand the user's feelings and respond quickly and appropriately.

[1791] Write a definition for each of the following important words:

[1792] "User" refers to any individual or legal entity that uses the System.

[1793] "Text" refers to sentence data entered by the user.

[1794] "Natural language processing" is a general term for technologies that allow computers to understand, analyze, and generate human language.

[1795] "Analyzing" refers to the process of using specific algorithms on input data to extract, classify, and transform information.

[1796] "Keywords" are words or phrases in the analyzed text that have a particular meaning or importance.

[1797] "Emotion engine" refers to software or algorithms for recognizing and assigning emotional states from user-entered text.

[1798] A "procedure" is a set of operations or actions that a system performs based on specific inputs or circumstances.

[1799] "Automatic collaboration" refers to a system automatically exchanging information and interacting with other systems or services based on predefined conditions.

[1800] "Reporting system" refers to an internal or external infrastructure for reporting and responding to problems or anomalies.

[1801] "Work inventory" refers to the process of organizing and reevaluating current workloads and tasks.

[1802] "Asking for help" refers to asking for help or assistance with a specific problem or task.

[1803] "Notifying" refers to sending specific information or messages to a user.

[1804] "Counselling" refers to the provision of emotional and psychological support and advice.

[1805] "Mental support" refers to a variety of services and resources offered to support users' mental health.

[1806] This invention relates to a system that analyzes the content entered by the user in text format and automatically executes appropriate processing procedures. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, a system that provides more advanced mental care can be realized.

[1807] First, the user inputs their problems and worries in text format using a device such as a smartphone or head-mounted display, and sends it to the system. The device then sends this input text to the server in real time.

[1808] The server uses the Google Cloud Natural Language API to analyze the received text data using natural language processing technology. This analysis extracts specific keywords from the text, such as "returned product" or "item not received."

[1809] The server then uses the IBM Watson Emotional Analysis API to recognize the user's emotional information from the text. The emotion engine detects emotions such as "anxiety" or "irritation."

[1810] The server determines the appropriate processing procedure based on the detected keywords and emotional information. For example, if it detects the keyword "item not delivered" and the emotional emotion "anxiety," it will initiate a prompt delivery procedure for the item. It also provides counseling or mental support if necessary, depending on the emotional information recognized.

[1811] Regarding the counseling function, if the user is feeling very stressed, the system will suggest making an appointment with a professional counselor or suggest ways to relax based on emotional information.

[1812] The system will proceed with the processing based on the information entered by the user, constantly monitor the progress, and notify the user of the processing status in a timely manner.

[1813] The hardware used includes a smartphone and a head-mounted display, and the software includes the Google Cloud Natural Language API, IBM Watson Emotional Analysis API, WebSocket communication technology, and a Firebase database.

[1814] Specific examples of prompts include:

[1815] If the user enters text like this:

[1816] "I'm in trouble because my item hasn't arrived yet. I'm very worried."

[1817] In this case, the text is sent via WebSocket to a server that analyzes the text and sentiment using the Google Cloud Natural Language API and IBM Watson Emotional Analysis API, and based on the results, an appropriate response is automatically selected and notified to the user.

[1818] In this way, the present invention provides a system that understands the user's feelings and responds quickly and appropriately.

[1819] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1820] Step 1:

[1821] Users input their worries and problems in text format using devices such as smartphones or head-mounted displays. This text describes in detail the problems they are facing.

[1822] Input: User-entered text

[1823] Output: The input text data

[1824] Step 2:

[1825] The device sends the text entered by the user to the server in real time, using WebSocket for this data communication.

[1826] Input: User-entered text data

[1827] Output: Data sent to the server

[1828] Step 3:

[1829] The server analyzes the received text data using the Google Cloud Natural Language API, extracting specific keywords (e.g., "item not received" or "returned product") from the text.

[1830] Input: User-entered text data

[1831] Output: Extracted keywords

[1832] Step 4:

[1833] The server uses the IBM Watson Emotional Analysis API to recognize the user's emotional information from the text. The emotion engine detects emotions such as "anxiety" and "irritation."

[1834] Input: User-entered text data

[1835] Output: Recognized emotion information

[1836] Step 5:

[1837] The server determines the appropriate procedure based on the detected keywords and emotion information. For example, if the keyword "item not delivered" and the emotion "anxiety" are detected, the server will initiate a prompt delivery procedure for the item.

[1838] Input: extracted keywords and recognized emotion information

[1839] Output: Judgment result of appropriate processing procedure

[1840] Step 6:

[1841] The server will also provide counseling and mental support if needed. For example, if it detects high levels of stress, it will book an appointment with a professional counselor or suggest ways to relax.

[1842] Input: Recognized emotion information

[1843] Output: Proposal to provide counseling or mental support

[1844] Step 7:

[1845] The server processes the transaction based on the information entered by the user and constantly monitors its progress.

[1846] Input: Processing procedure decision result

[1847] Output: Progress monitoring data

[1848] Step 8:

[1849] The server notifies the user of the progress of the processing procedure in a timely manner, allowing the user to grasp the current status in real time.

[1850] Input: Progress monitoring data

[1851] Output: A message to inform the user

[1852] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1853] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1854] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1855] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1856] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1857] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1858] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1859] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1860] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1861] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1862] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1863] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1864] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1865] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1866] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1867] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1868] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1869] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1870] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1871] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1872] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1873] The following is further disclosed regarding the above embodiment.

[1874] (Claim 1)

[1875] means for analyzing user-entered text using natural language processing;

[1876] means for detecting specific keywords from the analyzed text;

[1877] means for determining and executing appropriate processing procedures based on the detected keywords;

[1878] As an appropriate procedure, when there is an entry regarding power harassment, there is a means to automatically link to the company's internal reporting system to report the concern,

[1879] When there is an input regarding a business strain, a means to carry out an inventory of business operations and request help from related departments,

[1880] means for notifying a user of the processing status;

[1881] A system including:

[1882] (Claim 2)

[1883] 10. The system of claim 1, further comprising means for automatically executing additional procedures based on feedback from an internal reporting system.

[1884] (Claim 3)

[1885] 10. The system of claim 1, further comprising means for monitoring the progress of assigning help to procedures based on keywords detected from the user's input and providing feedback to the user.

[1886] "Example 1"

[1887] (Claim 1)

[1888] means for analyzing user-entered text using natural language processing;

[1889] means for detecting specific keywords from the analyzed text;

[1890] means for determining and executing appropriate processing procedures based on the detected keywords;

[1891] As an appropriate procedure, when an entry regarding harassment is made, a means is provided to automatically link to the organization's internal reporting system to report the issue, and

[1892] When workload input is received, a means of carrying out a work inventory and requesting assistance from relevant departments;

[1893] means for notifying a user of the processing status;

[1894] A system including:

[1895] (Claim 2)

[1896] 10. The system of claim 1, further comprising means for automatically executing additional procedures based on feedback from an internal reporting system.

[1897] (Claim 3)

[1898] 10. The system according to claim 1, further comprising means for monitoring the status of support for a procedure based on keywords detected from a user's input and providing feedback to the user.

[1899] "Application Example 1"

[1900] (Claim 1)

[1901] means for analyzing user-entered text using natural language processing;

[1902] means for detecting specific keywords from the analyzed text;

[1903] means for determining and executing appropriate processing procedures based on the detected keywords;

[1904] As an appropriate procedure, when there is an entry regarding power harassment, there is a means to automatically link to the company's internal reporting system to report the concern,

[1905] When there is an input regarding a business strain, a means to carry out an inventory of business operations and request help from related departments,

[1906] A means of performing security checks to strengthen email filtering when security-related input is received;

[1907] means for notifying a user of the processing status;

[1908] A system including:

[1909] (Claim 2)

[1910] 10. The system of claim 1, further comprising means for automatically executing additional procedures based on feedback from an internal reporting system.

[1911] (Claim 3)

[1912] 10. The system of claim 1, further comprising means for monitoring the progress of assigning help to procedures based on keywords detected from the user's input and providing feedback to the user.

[1913] "Example 2: Combining Emotion Engines"

[1914] (Claim 1)

[1915] means for analyzing user-entered text using natural language processing;

[1916] means for detecting specific keywords from the analyzed text;

[1917] means for determining and executing an appropriate processing procedure based on the detected keywords and emotion information from the emotion engine;

[1918] A means for recognizing the user's emotions and providing mental care as needed;

[1919] As an appropriate procedure, when there is an entry regarding power harassment, there will be a means to automatically link to an internal reporting system to report the problem,

[1920] When there is an input about a business strain, a means to carry out an inventory of business operations and request help from related departments,

[1921] means for notifying a user of the processing status;

[1922] A means of offering counseling and mental support,

[1923] A system including:

[1924] (Claim 2)

[1925] 10. The system of claim 1, further comprising means for automatically executing additional procedures based on feedback from an internal reporting system.

[1926] (Claim 3)

[1927] 10. The system of claim 1, further comprising means for monitoring the progress of assigning help to a procedure based on keywords and emotion information detected from the user's input and providing feedback to the user.

[1928] "Application example 2 when combining emotion engines"

[1929] (Claim 1)

[1930] means for analyzing user-entered text using natural language processing;

[1931] means for detecting specific keywords from the analyzed text;

[1932] means for determining and executing appropriate processing procedures based on the detected keywords;

[1933] As an appropriate procedure, when there is an input regarding power harassment, there is a means to automatically link to a specific reporting system to report the problem,

[1934] When there is an input regarding a business strain, a means to carry out an inventory of business operations and request help from related departments,

[1935] means for notifying a user of the processing status;

[1936] means for recognizing user emotion information from text using an emotion engine;

[1937] A means of providing counseling and mental support based on the perceived emotional information;

[1938] A system including:

[1939] (Claim 2)

[1940] 10. The system of claim 1, further comprising means for automatically executing additional procedures based on feedback from an internal reporting system.

[1941] (Claim 3)

[1942] 10. The system of claim 1, further comprising means for monitoring the progress of assigning help to a procedure based on keywords and emotion information detected from the user's input and providing feedback to the user. [Explanation of symbols]

[1943] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for analyzing user-entered text using natural language processing; means for detecting specific keywords from the analyzed text; means for determining and executing appropriate processing procedures based on the detected keywords; As an appropriate procedure, when there is an entry regarding power harassment, there is a means to automatically link to the company's internal reporting system to report the concern, When there is an input regarding a business strain, a means to carry out an inventory of business operations and request help from related departments, means for notifying a user of the processing status; A system including:

2. 10. The system of claim 1, further comprising means for automatically executing additional procedures based on feedback from an internal reporting system.

3. 10. The system of claim 1, further comprising means for monitoring the progress of assigning help to procedures based on keywords detected from the user's input and providing feedback to the user.

Images