system

Abstract

We provide the system. [Solution] Information receiving means for receiving user input information, An information analysis means that analyzes received information to identify the user's mental state, An advice generation means that provides psychological care advice generated based on the analysis results, A means of sending information to a user to provide advice, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Due to frequent natural disasters, many disaster victims and supporters are facing psychological stress and anxiety, but there is a problem that it is difficult to receive appropriate and timely psychological care. Therefore, it is required to support the mental recovery of disaster victims and provide rapid and individual support.

Means for Solving the Problems

[0005] The present invention includes means for receiving input information of a user, analyzing the information to identify the mental state of the user, and further generating personalized psychological care advice based on the analysis result and providing it to the user in a form including relaxation techniques. As a result, the user can receive psychological support at an appropriate timing.

[0006] A "user" refers to an individual who uses this system to receive psychological care advice.

[0007] "Input information" refers to data such as text messages and emotional states that users send to the system.

[0008] "Information receiving means" refers to a mechanism for receiving input information from the user, and includes communication modules and interfaces.

[0009] "Information analysis means" refers to technologies and algorithms used to analyze and identify a user's mental state based on received input information.

[0010] "Advice generation method" refers to a system that automatically generates optimal psychological care advice for the user based on their analyzed mental state.

[0011] "Information transmission means" refers to a mechanism for conveying generated advice to the user, and includes communication functions via a network.

[0012] "Relaxation techniques" refer to methods such as deep breathing exercises and meditation that reduce the user's psychological stress and anxiety and promote relaxation. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5]It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described according to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0019] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), and the like.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the 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.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0027] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention relates to a system for providing personalized psychological care advice in accordance with the user's psychological needs.

[0035] Server embodiment:

[0036] The server first receives input information sent from the user's terminal. This information is provided in text format and reflects the user's current emotional state and psychological needs. Next, the server analyzes the received information using natural language processing techniques. In this analysis process, sentiment analysis tools are used, and the user's psychological state and the causes of their anxiety are identified through keyword extraction.

[0037] After analysis, the server uses generative AI technology to generate psychological care advice tailored to the user based on the analysis results. For example, if the user is experiencing strong anxiety, the server might suggest "deep breathing techniques to alleviate anxiety." This advice includes detailed explanations of specific steps and expected effects. Finally, the server sends the generated advice to the user's device.

[0038] Terminal embodiment:

[0039] The terminal displays psychological care advice received from the server to the user. The displayed advice is provided in a format that is easy for the user to understand intuitively, and may include visual guides or audio instructions when necessary. The terminal also accepts additional input from the user and has the function to send requests to the server if further support is needed.

[0040] User embodiment:

[0041] Users input their feelings and circumstances using an interface on their device and receive advice from the system. Based on this advice, they can try relaxation techniques to reduce psychological stress and anxiety. For example, they can practice deep breathing to alleviate anxiety and then check its effectiveness. In this way, users can receive continuous and personalized psychological care.

[0042] For example, if a user is having trouble sleeping and uses the system, the server analyzes that information and suggests meditation techniques or bedtime routines to promote restful sleep. In this way, support tailored to the user's needs is provided.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] Users input their emotional state and problems in text format through the device's interface.

[0046] Step 2:

[0047] The terminal sends the information entered by the user to the server. During this process, the data is transmitted using a secure communication protocol.

[0048] Step 3:

[0049] The server receives user information transmitted from the terminal and records it in a database. This information is used to analyze the user's psychological state.

[0050] Step 4:

[0051] The server analyzes the received information using a natural language processing engine. This involves extracting keywords that indicate the user's emotions and detecting negative emotions.

[0052] Step 5:

[0053] Based on the analysis results, the server uses a generation AI module to generate personalized psychological care advice for the user. For example, it might provide details on specific relaxation techniques.

[0054] Step 6:

[0055] The server sends the generated advice to the terminal. The advice is presented in a user-friendly format and provides practical guidance.

[0056] Step 7:

[0057] The terminal displays advice received from the server to the user. The advice is displayed in a visual guide format and, if necessary, can also be output as audio.

[0058] Step 8:

[0059] Users can try out relaxation techniques by following the provided advice. After the session, if the user wishes to receive further information regarding the results or request continued support, they can enter more details and repeat the process from step 2.

[0060] (Example 1)

[0061] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0062] In modern life, many individuals experience significant mental stress and anxiety. In response to this situation, there is a need to provide personalized psychological care tailored to each user's psychological state, and to do so quickly. However, traditional methods have struggled to provide such individualized support, resulting in the inability to deliver immediate and appropriate advice to users.

[0063] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0064] In this invention, the server includes data receiving means for receiving user input information, data analysis means for analyzing the received information using natural language processing technology to identify emotional states and psychological needs, and advice generation means for generating psychological care advice using a generated AI model based on the analysis results. This makes it possible to provide accurate and personalized psychological care advice to individual users.

[0065] A "data receiving means" is a function that acquires input information from the user and stores it in a format usable within the system.

[0066] "Natural language processing technology" is a methodology for computers to understand and analyze human language, and is primarily a technology for analyzing information expressed in text and speech.

[0067] "Data analysis means" refers to a function that performs the necessary analysis based on received information to identify the user's emotional state and psychological needs.

[0068] A "generative AI model" is a type of artificial intelligence trained using machine learning, used to generate advice tailored to the user based on analysis results.

[0069] The "advice generation method" is a function that generates psychological care advice to be provided to the user based on the analyzed data.

[0070] "Data transmission means" refers to a function that transmits data in order to convey the generated advice to the user.

[0071] This invention is a system for providing personalized psychological care advice tailored to the user's psychological needs.

[0072] Server embodiment:

[0073] The server receives input information sent from the user's terminal. This input information is in text format, reflecting the user's emotional state and psychological needs. The received information is processed using natural language processing technology and analyzed by sentiment analysis tools. This analysis extracts keywords from the text and identifies the user's psychological state and the causes of their anxiety. Based on the analysis results, the server utilizes a generative AI model to generate psychological care advice tailored to the user. For example, if a user sends "I haven't been able to sleep lately," the server can analyze this information and generate advice suggesting meditation techniques or bedtime routines for better sleep. The server then sends the generated advice to the user's terminal. This entire process is primarily implemented using cloud services and various APIs.

[0074] Terminal embodiment:

[0075] The terminal displays psychological care advice received from the server to the user. The advice is presented in a format that is easy for the user to understand, and may include visual guidance or audio instructions as needed. The terminal also accepts additional input from the user and can resend a request to the server if further support is required.

[0076] User embodiment:

[0077] Users input information about their emotions and circumstances using an interface on their device. Based on this data, the system provides individually personalized advice. Specifically, if a user is feeling anxious, concrete action plans such as "deep breathing techniques to alleviate anxiety" will be suggested. Users can then incorporate this advice into their daily lives to reduce psychological stress.

[0078] Specific examples and prompt examples:

[0079] For example, if a user uses the system in a situation where they are having trouble sleeping, the server will analyze that information and suggest meditation techniques or bedtime routines for better sleep. An example of a prompt message is as follows:

[0080] "I've been having trouble sleeping lately. How can I get a good night's sleep?"

[0081] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0082] Step 1:

[0083] The server receives text-based input information sent from the user's terminal. This information includes the user's emotional state and psychological needs. The received data is stored in the server's database and used as basic information for subsequent processing.

[0084] Step 2:

[0085] The server analyzes the received information using natural language processing techniques. This analysis extracts keywords from the text and identifies the user's emotional state using sentiment analysis tools. Specific data processing includes part-of-speech analysis and syntax analysis of the text. The output of the analysis is detailed data regarding the user's emotional state and psychological needs.

[0086] Step 3:

[0087] The server applies a generation AI model based on the analysis results to generate psychological care advice tailored to the user. In this generation process, the AI ​​creates the most suitable advice for the user's situation from the analysis results. The generated advice includes specific recommended actions and methods of psychological care, and is tailored to the user's needs.

[0088] Step 4:

[0089] The server sends the generated advice to the user's terminal via a data transmission mechanism. The transmitted data includes the advice in text format and additional information to complement it, such as links to audio instructions or visual guides.

[0090] Step 5:

[0091] The terminal displays psychological care advice received from the server to the user. The displayed content is formatted in a way that is easy for the user to understand, and it provides an intuitive interface. Based on this information, the user can put psychological care into practice.

[0092] (Application Example 1)

[0093] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0094] Balancing improved work efficiency and employee health management in modern factories is a challenging task, and the psychological state of operators, in particular, has a significant impact on work performance. However, a system that can grasp and appropriately respond to employees' psychological states in real time has yet to be developed. This invention aims to solve this problem by using a robot to appropriately monitor the psychological state of operators and optimize work instructions as needed.

[0095] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0096] In this invention, the server includes data receiving means for receiving user input information, data analysis means for analyzing the received information to identify the user's mental state, and advice generation means for providing psychological care advice generated based on the analysis results. This enables monitoring of the operator's mental state and automatic optimization of advice and work instructions according to the situation.

[0097] A "data receiving means" is a function for receiving information from users and transferring it to the system.

[0098] "Data analysis means" refers to a function that analyzes received information to understand the user's mental state.

[0099] The "advice generation method" is a function that generates suggestions for psychological care tailored to the user based on the analyzed results.

[0100] A "data transmission means" is a function for transmitting generated advice to users and conveying information.

[0101] "Operation adjustment means" refers to a function that appropriately adjusts work instructions based on the user's psychological state to optimize work efficiency.

[0102] This invention provides a system that monitors the psychological state of workers in real time and optimizes work instructions as needed, in order to improve work efficiency within a factory.

[0103] The server performs multiple functions. First, it uses data receiving means to receive text and voice information from users (operators). This information serves as foundational data for understanding the operator's current mental state. Next, data analysis means operate to analyze the received information. Specifically, natural language processing technology is used to process the information, and software such as TENSORFLOW® and Transformers (Hugging Face library) are utilized. This analysis identifies the operator's psychological state and stress level.

[0104] Based on the data analysis results, the server uses an advice generation mechanism to generate situation-appropriate psychological care advice. This generation process utilizes a generation AI model. For example, if it is detected that the operator is feeling fatigued, specific advice such as "take a short break" or "take deep breaths" will be generated.

[0105] The generated advice is delivered to the user via a data transmission method. The advice is immediately provided to the operator through the robot's display and voice output device, ensuring it is received both visually and audibly.

[0106] For example, if an operator inputs "I can't concentrate today" into the system, the server performs a sentiment analysis and generates optimal advice. The server then suggests to the operator, "Let's move around a bit. Stretching might refresh your mood."

[0107] A concrete example of a prompt message would be something like, "If an employee's psychological state is unstable, what countermeasures would you suggest?" which would be input into the generating AI model. In this way, the system allows operators to receive psychological care advice while working.

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The server receives user input information via a data receiving device. This input can be text or audio, and serves as fundamental data for understanding the user's psychological state.

[0111] Step 2:

[0112] The server analyzes the received input information using data analysis tools. This process uses natural language processing techniques to process text information. Software such as TensorFlow and Transformers are used to identify the user's emotional state and stress level. The input is text data, and the output is the analyzed psychological state information.

[0113] Step 3:

[0114] The server generates psychological care advice using an advice generation mechanism based on the analysis results. In this process, a generation AI model is utilized to create specific advice such as "Take a break" or "Take some deep breaths." The input is the analyzed information about the user's psychological state, and the output is the most appropriate psychological care advice for the user.

[0115] Step 4:

[0116] The server sends the generated advice to the user via a data transmission method. The advice is delivered visually and audibly through the robot's display and voice output device. The input is the generated advice information, and the output is the visual and auditory information for the user.

[0117] Step 5:

[0118] The user receives advice from the server and acts accordingly. Specifically, they perform actions such as taking a short break or stretching, following the generated advice. Based on the user's input, the server receives further data and provides additional support as needed.

[0119] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0120] This invention relates to a system for recognizing a user's emotions and providing personalized psychological care advice based on those emotions. The user uses a terminal interface to input their emotions and situation in text format. The terminal then transmits this information to a server.

[0121] Server embodiment:

[0122] The server first receives user information from the terminal. Next, it analyzes the user's input using information analysis tools and recognizes the user's emotions using an emotion engine. This emotion engine identifies the emotions the user is currently experiencing by analyzing emotion-related keywords and context contained in the text. Based on these results, it uses generative AI technology to generate personalized psychological care advice tailored to the user's emotions.

[0123] For example, if the emotion engine detects both "stress" and "anxiety" in a user's message, the server will suggest several relaxation techniques accordingly. These may include breathing exercises to reduce stress and meditation techniques to alleviate anxiety. The generated advice includes visual and audio guidance and is designed to be intuitively understandable and easy for the user to implement.

[0124] Terminal embodiment:

[0125] The terminal provides the user with advice received from the server through an intuitive user interface. It displays guidelines and action lists for implementing the suggested relaxation techniques. Furthermore, it has a function to send additional information to the server if the user requests further support.

[0126] User embodiment:

[0127] Users can try relaxation techniques to reduce stress and anxiety in their daily lives by following the advice provided. For example, while performing a specific breathing exercise, they can follow the device's guide to track their progress and experience the effects.

[0128] In this way, by providing personalized care tailored to each individual based on information about the user's psychological state, users can maintain a better mental health.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] Users input information about their emotions and psychological state in text format through their device. Specifically, they describe situations that cause them stress and the causes of their anxiety.

[0132] Step 2:

[0133] The terminal sends the information entered by the user to the server. This data is converted into an appropriate format for easy analysis and transmitted encrypted.

[0134] Step 3:

[0135] The server receives user information sent from the terminal. The received information is securely stored in an internal database and used for subsequent analysis.

[0136] Step 4:

[0137] The server analyzes the received text using information analysis tools and activates the emotion engine. The emotion engine then analyzes keywords and context within the text to recognize emotions.

[0138] Step 5:

[0139] The emotion engine recognizes the user's emotions and generates optimal psychological care advice based on the results. Using generative AI technology, it identifies the most effective relaxation techniques for the user. In this process, multiple relaxation methods may be combined depending on the user's emotions.

[0140] Step 6:

[0141] The server sends the generated psychological care advice to the user's device. The advice is presented in a format that is easy for the user to understand.

[0142] Step 7:

[0143] The device displays the received advice to the user using an intuitive interface. It supports user implementation by including visual guides and, where necessary, voice instructions.

[0144] Step 8:

[0145] Users perform relaxation techniques according to the provided guidelines. After the technique is performed, they can also send feedback about their experience and the effects to the server via their device.

[0146] This series of processes allows users to receive psychological care tailored to their own emotions.

[0147] (Example 2)

[0148] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0149] In modern society, accurately recognizing the emotional problems such as stress and anxiety that individual users face, and providing appropriate psychological care and relaxation methods accordingly, is a crucial challenge. However, conventional technologies have made it difficult to individually identify the diverse emotional states of users and provide advice tailored to those states.

[0150] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0151] In this invention, the server includes a device for receiving user input information, an analysis device for analyzing the received information and recognizing the user's emotional state, and a generation device for generating psychological care suggestions based on the analysis results. This makes it possible to accurately identify the diverse emotional states of users and provide individually personalized care.

[0152] A "device for receiving user input information" is a device for acquiring text data related to emotions and situations provided by the user from a terminal.

[0153] An "analysis device" is a device that analyzes information contained in the text data received from a user and identifies their emotional state and related elements.

[0154] A "generation device" is a device that constructs and generates psychological care proposals to be provided to users based on analysis results.

[0155] A "presentation device" is a device that provides the generated proposal to the user visually or audibly.

[0156] A "server" is a central computer system that coordinates these devices and manages and processes the reception, analysis, generation, and presentation of information in a unified manner.

[0157] A "generative AI model" is a model that uses artificial intelligence technology to automatically generate suggestions that are appropriate to the user's emotions, and includes an algorithm for this purpose.

[0158] "Natural language processing technology" is a technique that converts text data into a format that machines can understand and uses to accurately analyze emotions and information.

[0159] The embodiments for carrying out the invention will be specifically described focusing on three components: the user, the terminal, and the server. The present invention is a system for recognizing the user's emotions and providing individualized psychological care advice accordingly.

[0160] First, the user uses their device to input text data about their emotions and the situation. This input information is sent to the server via the device's data communication function. The server has an analysis device to analyze the received text data and uses natural language processing technology to identify the user's emotions. This analysis uses algorithms for keyword extraction and contextual analysis.

[0161] Next, the server uses a generative AI model to automatically generate psychological care suggestions based on the identified emotions. The generated suggestions are sent to the terminal and provided to the user. For example, if the user inputs "I've been feeling stressed at work lately," the server will generate a suggestion such as "Try breathing exercises or meditation to reduce stress." In this generation process, a prompt is given to the AI ​​model requesting, "Analyze the emotions the user is feeling and provide specific advice to reduce stress."

[0162] Thus, the present invention enables the provision of personalized psychological care based on the user's emotions by utilizing specific hardware and software configurations. This allows users to receive support in maintaining a better mental state.

[0163] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0164] Step 1:

[0165] Users input information about their emotions and circumstances in text format using the device's interface. This input information is used as basic data to understand the user's mental state.

[0166] Step 2:

[0167] The terminal sends text information entered by the user to the server. Specifically, it transfers text data to the server via a secure communication channel, providing the server with the user's input information.

[0168] Step 3:

[0169] The server passes the received user text information to the analysis device. The analysis device uses natural language processing technology to analyze the text data, extracting keywords and performing contextual analysis to identify the emotional state expressed by the user. This process yields output that identifies emotions such as "stress" and "anxiety" from the text.

[0170] Step 4:

[0171] The server calls a generative AI model based on emotional state information obtained from the analysis device and generates psychological care suggestions suitable for the user using prompt sentences. Specifically, prompt sentences such as "Please analyze the emotions the user is feeling and give specific advice to reduce stress" are input to the generative AI model, and the psychological care suggestions generated by the model are received.

[0172] Step 5:

[0173] The server sends the generated psychological care suggestions to the terminal. The suggestions are formatted to be easily understood by the user.

[0174] Step 6:

[0175] The terminal provides the user with advice received from the server through a user interface. In doing so, it visually and audibly guides the user through suggested relaxation techniques and advice, presenting them in a way that is easy for the user to implement.

[0176] (Application Example 2)

[0177] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0178] Currently, providing personalized services and psychological care based on customers' emotional states in physical stores is difficult, resulting in a lack of individualized support to meet diverse customer needs. In particular, when customers are experiencing stress, appropriate care methods to improve their store experience are not being provided. This leads to decreased customer satisfaction and poses a challenge to store operations.

[0179] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0180] In this invention, the server includes an information receiving means for receiving user input information, an information analysis means for analyzing the received information to identify the user's mental state, and an advice generating means for providing psychological care advice generated based on the analysis results. This makes it possible to provide personalized psychological care advice that is tailored to the emotional state of the customer.

[0181] "Information receiving means" refers to a means of receiving input information from a user and processing it within the system.

[0182] "Information analysis means" refers to methods that use technology to analyze received information and identify the user's mental state.

[0183] An "advice generation method" is a means for creating psychological care advice for users based on analysis results.

[0184] "Information transmission means" refers to the means of conveying the generated advice to the user.

[0185] A "visual presentation method" is a means of providing information to a user visually.

[0186] "Voice guidance means" refers to a means of providing information to users through voice.

[0187] To implement this invention, the server first receives user input information. When the user inputs their emotions and state of mind as text into smart glasses or a smart device, this information is sent to the server via Bluetooth or Wi-Fi. The server uses Python and leverages natural language processing libraries such as NLTK and spaCy to analyze the text data and identify the user's mental state. Based on this analysis, generative AI technology is used to generate specific psychological care advice. In this process, a machine learning model using TensorFlow contributes to the generation of the advice.

[0188] The advice generated by the server is transmitted to the user via an information transmission method. Smart glasses display the advice visually as a visual presentation method. Voice guidance is also provided via an audio guidance method. For example, if the user inputs "I'm tired," the system analyzes this and suggests short meditations or deep breathing exercises to help with relaxation. Simultaneously, it also displays information about quiet rest areas as part of the store environment suggestions.

[0189] For example, when a user types "I'm very tired today," the emotion engine identifies it as "fatigue." Based on this, the generative AI model suggests meditation music and communicates it to the user with visual guidance. An example of a prompt would be, "The user typed 'I'm very tired today.' Please suggest a relaxation technique suitable for him." In this way, a system is built that can improve the user experience in physical stores.

[0190] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0191] Step 1:

[0192] The user inputs their current emotions and state as text through smart glasses. This text data is the input information and is sent to the server via Bluetooth or Wi-Fi.

[0193] Step 2:

[0194] The server receives text data from the user via an information receiving mechanism. The received text is processed using natural language processing libraries such as NLTK and spaCy to extract emotional keywords that indicate the user's mental state.

[0195] Step 3:

[0196] The server uses an emotion engine to identify the user's emotions based on extracted keywords. Using this emotional information as input, a generative AI model (TensorFlow-based) generates personalized psychological care advice. Specifically, it generates relaxation techniques and environmental suggestions tailored to the user's emotions.

[0197] Step 4:

[0198] The server packages the generated psychological care advice and sends it to the terminal via an information transmission method. At this stage, it includes not only text format but also data for audio and visual guidance.

[0199] Step 5:

[0200] The device displays the received advice on the smart glasses' screen using visual presentation means. It also provides audio guidance to the user using voice guidance means. This allows the user to confirm the advice through both visual and auditory means.

[0201] Step 6:

[0202] Users follow the presented relaxation techniques and accept the suggested environment within the store. They observe changes in their emotions throughout the experience and re-enter their thoughts if necessary. This creates a cyclical process that enables continuous care.

[0203] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0204] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0205] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0206] [Second Embodiment]

[0207] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0208] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0209] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0210] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0211] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0212] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0213] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0214] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0215] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0216] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0217] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0218] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0219] This invention relates to a system for providing personalized psychological care advice in accordance with the user's psychological needs.

[0220] Server embodiment:

[0221] The server first receives input information sent from the user's terminal. This information is provided in text format and reflects the user's current emotional state and psychological needs. Next, the server analyzes the received information using natural language processing techniques. In this analysis process, sentiment analysis tools are used, and the user's psychological state and the causes of their anxiety are identified through keyword extraction.

[0222] After analysis, the server uses generative AI technology to generate psychological care advice tailored to the user based on the analysis results. For example, if the user is experiencing strong anxiety, the server might suggest "deep breathing techniques to alleviate anxiety." This advice includes detailed explanations of specific steps and expected effects. Finally, the server sends the generated advice to the user's device.

[0223] Terminal embodiment:

[0224] The terminal displays psychological care advice received from the server to the user. The displayed advice is provided in a format that is easy for the user to understand intuitively, and may include visual guides or audio instructions when necessary. The terminal also accepts additional input from the user and has the function to send requests to the server if further support is needed.

[0225] User embodiment:

[0226] Users input their feelings and circumstances using an interface on their device and receive advice from the system. Based on this advice, they can try relaxation techniques to reduce psychological stress and anxiety. For example, they can practice deep breathing to alleviate anxiety and then check its effectiveness. In this way, users can receive continuous and personalized psychological care.

[0227] For example, if a user is having trouble sleeping and uses the system, the server analyzes that information and suggests meditation techniques or bedtime routines to promote restful sleep. In this way, support tailored to the user's needs is provided.

[0228] The following describes the processing flow.

[0229] Step 1:

[0230] Users input their emotional state and problems in text format through the device's interface.

[0231] Step 2:

[0232] The terminal sends the information entered by the user to the server. During this process, the data is transmitted using a secure communication protocol.

[0233] Step 3:

[0234] The server receives user information transmitted from the terminal and records it in a database. This information is used to analyze the user's psychological state.

[0235] Step 4:

[0236] The server analyzes the received information using a natural language processing engine. This includes extracting keywords that indicate the user's emotions and detecting negative emotions.

[0237] Step 5:

[0238] Based on the analysis results, the server uses a generation AI module to generate personalized psychological care advice for the user. For example, it might provide details on specific relaxation techniques.

[0239] Step 6:

[0240] The server sends the generated advice to the terminal. The advice is presented in a user-friendly format and provides practical guidance.

[0241] Step 7:

[0242] The terminal displays advice received from the server to the user. The advice is displayed in a visual guide format and, if necessary, can also be output as audio.

[0243] Step 8:

[0244] Users can try out relaxation techniques by following the advice provided. After the session, if the user wishes to receive further information regarding the results or request continued support, they can enter more details and repeat the process from step 2.

[0245] (Example 1)

[0246] Next, we will describe Example 1. 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."

[0247] In modern life, many individuals experience significant mental stress and anxiety. In response to this situation, there is a need to provide personalized psychological care tailored to each user's individual psychological state. However, traditional methods have struggled to provide such individualized support, resulting in the inability to deliver immediate and appropriate advice to users.

[0248] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0249] In this invention, the server includes data receiving means for receiving user input information, data analysis means for analyzing the received information using natural language processing technology to identify emotional states and psychological needs, and advice generation means for generating psychological care advice using a generated AI model based on the analysis results. This makes it possible to provide accurate and personalized psychological care advice to individual users.

[0250] A "data receiving means" is a function that acquires input information from the user and stores it in a format usable within the system.

[0251] "Natural language processing technology" is a methodology for computers to understand and analyze human language, and is primarily a technology for analyzing information expressed in text and speech.

[0252] "Data analysis means" refers to a function that performs the necessary analysis based on received information to identify the user's emotional state and psychological needs.

[0253] A "generative AI model" is a type of artificial intelligence trained using machine learning, used to generate advice tailored to the user based on analysis results.

[0254] The "advice generation method" is a function that generates psychological care advice to be provided to the user based on the analyzed data.

[0255] "Data transmission means" refers to a function that transmits data in order to convey the generated advice to the user.

[0256] This invention is a system for providing personalized psychological care advice tailored to the user's psychological needs.

[0257] Server embodiment:

[0258] The server receives input information sent from the user's terminal. This input information is in text format, reflecting the user's emotional state and psychological needs. The received information is processed using natural language processing technology and analyzed by sentiment analysis tools. This analysis extracts keywords from the text and identifies the user's psychological state and the causes of their anxiety. Based on the analysis results, the server utilizes a generative AI model to generate psychological care advice tailored to the user. For example, if a user sends "I haven't been able to sleep lately," the server can analyze this information and generate advice suggesting meditation techniques or bedtime routines for better sleep. The server then sends the generated advice to the user's terminal. This entire process is primarily implemented using cloud services and various APIs.

[0259] Terminal embodiment:

[0260] The terminal displays psychological care advice received from the server to the user. The advice is presented in a format that is easy for the user to understand, and may include visual guidance or audio instructions as needed. The terminal also accepts additional input from the user and can resend a request to the server if further support is required.

[0261] User embodiment:

[0262] Users input information about their emotions and circumstances using an interface on their device. Based on this data, the system provides individually personalized advice. Specifically, if a user is feeling anxious, concrete action plans such as "deep breathing techniques to alleviate anxiety" will be suggested. Users can then incorporate this advice into their daily lives to reduce psychological stress.

[0263] Specific examples and prompt examples:

[0264] For example, if a user uses the system in a situation where they are having trouble sleeping, the server will analyze that information and suggest meditation techniques or bedtime routines for better sleep. An example of a prompt message is as follows:

[0265] "I've been having trouble sleeping lately. How can I get a good night's sleep?"

[0266] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0267] Step 1:

[0268] The server receives text-based input information sent from the user's terminal. This information includes the user's emotional state and psychological needs. The received data is stored in the server's database and used as basic information for subsequent processing.

[0269] Step 2:

[0270] The server analyzes the received information using natural language processing techniques. This analysis extracts keywords from the text and identifies the user's emotional state using sentiment analysis tools. Specific data processing includes part-of-speech analysis and syntax analysis of the text. The output of the analysis is detailed data regarding the user's emotional state and psychological needs.

[0271] Step 3:

[0272] The server applies a generation AI model based on the analysis results to generate psychological care advice tailored to the user. In this generation process, the AI ​​creates the most suitable advice for the user's situation from the analysis results. The generated advice includes specific recommended actions and methods of psychological care, and is tailored to the user's needs.

[0273] Step 4:

[0274] The server sends the generated advice to the user's terminal via a data transmission mechanism. The transmitted data includes the advice in text format and additional information to complement it, such as links to audio instructions or visual guides.

[0275] Step 5:

[0276] The terminal displays psychological care advice received from the server to the user. The displayed content is formatted in a way that is easy for the user to understand, and it provides an intuitive interface. Based on this information, the user can put psychological care into practice.

[0277] (Application Example 1)

[0278] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0279] Improving work efficiency and managing employees' health simultaneously in modern factories is a difficult problem. In particular, the impact of operators' psychological states on work performance is significant. However, a system that can grasp employees' psychological states in real time and respond appropriately has not yet been developed. The purpose of this invention is to solve this problem by appropriately monitoring operators' psychological states using robots and optimizing work instructions as needed.

[0280] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0281] In this invention, the server includes a data receiving means for receiving the user's input information, a data analyzing means for analyzing the received information to identify the user's mental state, and an advice generating means for providing psychological care advice generated based on the analysis result. Thereby, it becomes possible to monitor the psychological state of the operator and automatically optimize advice and work instructions according to the situation.

[0282] The "data receiving means" is a function for receiving information from users and transferring it to the system.

[0283] The "data analyzing means" is a function for analyzing the received information and grasping the user's mental state.

[0284] The "advice generating means" is a function for generating proposals for psychological care suitable for users based on the analyzed results.

[0285] The "data transmitting means" is a function for transmitting the generated advice to users and transmitting information.

[0286] The "operation adjustment means" is a function for appropriately adjusting work instructions based on the user's psychological state and optimizing work efficiency.

[0287] This invention provides a system that monitors the psychological state of workers in real time and optimizes work instructions as needed, in order to improve work efficiency within a factory.

[0288] The server performs multiple functions. First, it uses data receiving means to receive text and voice information from users (operators). This information serves as foundational data for understanding the operator's current mental state. Next, data analysis means operate to analyze the received information. Specifically, natural language processing technology is used to process the information, and software such as TensorFlow and Transformers (Hugging Face library) are utilized. This analysis identifies the operator's psychological state and stress level.

[0289] Based on the data analysis results, the server uses an advice generation mechanism to generate situation-appropriate psychological care advice. This generation process utilizes a generation AI model. For example, if it is detected that the operator is feeling fatigued, specific advice such as "take a short break" or "take deep breaths" will be generated.

[0290] The generated advice is delivered to the user via a data transmission method. The advice is immediately provided to the operator through the robot's display and voice output device, ensuring it is received both visually and audibly.

[0291] For example, if an operator inputs "I can't concentrate today" into the system, the server performs a sentiment analysis and generates optimal advice. The server then suggests to the operator, "Let's move around a bit. Stretching might refresh your mood."

[0292] A concrete example of a prompt message would be something like, "If an employee's psychological state is unstable, what countermeasures would you suggest?" which would be input into the generating AI model. In this way, the system allows operators to receive psychological care advice while working.

[0293] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0294] Step 1:

[0295] The server receives user input information via a data receiving device. This input can be text or audio, and serves as fundamental data for understanding the user's psychological state.

[0296] Step 2:

[0297] The server analyzes the received input information using data analysis tools. This process uses natural language processing techniques to process text information. Software such as TensorFlow and Transformers are used to identify the user's emotional state and stress level. The input is text data, and the output is the analyzed psychological state information.

[0298] Step 3:

[0299] The server generates psychological care advice using an advice generation mechanism based on the analysis results. In this process, a generation AI model is utilized to create specific advice such as "Take a break" or "Take some deep breaths." The input is the analyzed information about the user's psychological state, and the output is the most appropriate psychological care advice for the user.

[0300] Step 4:

[0301] The server transmits the generated advice to the user by means of data transmission. The advice is a mechanism that can be delivered visually and aurally through the robot's display and voice output device. The input is the generated advice information, and the output is the visual and aural information to the user.

[0302] Step 5:

[0303] The user receives the advice provided by the server and acts according to it. Specifically, according to the generated advice, actions such as taking a short break and stretching are executed. The server receives further data based on the user's input and provides additional support as needed.

[0304] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion.

[0305] This invention relates to a system for recognizing the user's emotion and providing personalized psychological care advice based on the result. The user uses the interface of the terminal to input in text form about their emotion and situation. The terminal transmits this information to the server.

[0306] Server embodiments:

[0307] The server first receives the user information received from the terminal. Next, the input of the user is analyzed using the information analysis means, and the user's emotion is recognized by the emotion engine. This emotion engine identifies the emotion the user is currently holding by analyzing the keywords and context related to the emotion contained in the text. Based on this result, using the generation AI technology, personalized psychological care advice corresponding to the user's emotion is generated.

[0308] For example, if the emotion engine detects both "stress" and "anxiety" in a user's message, the server will suggest several relaxation techniques accordingly. These may include breathing exercises to reduce stress and meditation techniques to alleviate anxiety. The generated advice includes visual and audio guidance and is designed to be intuitively understandable and easy for the user to implement.

[0309] Terminal embodiment:

[0310] The terminal provides the user with advice received from the server through an intuitive user interface. It displays guidelines and action lists for implementing the suggested relaxation techniques. Furthermore, it has a function to send additional information to the server if the user requests further support.

[0311] User embodiment:

[0312] Users can try relaxation techniques to reduce stress and anxiety in their daily lives by following the advice provided. For example, while performing a specific breathing exercise, they can follow the device's guide to track their progress and experience the effects.

[0313] In this way, by providing personalized care tailored to each individual based on information about the user's psychological state, users can maintain a better mental health.

[0314] The following describes the processing flow.

[0315] Step 1:

[0316] Users input information about their emotions and psychological state in text format through their device. Specifically, they describe situations that cause them stress and the causes of their anxiety.

[0317] Step 2:

[0318] The terminal sends the information entered by the user to the server. This data is converted into an appropriate format for easy analysis and transmitted encrypted.

[0319] Step 3:

[0320] The server receives user information sent from the terminal. The received information is securely stored in an internal database and used for subsequent analysis.

[0321] Step 4:

[0322] The server analyzes the received text using information analysis tools and activates the emotion engine. The emotion engine then analyzes keywords and context within the text to recognize emotions.

[0323] Step 5:

[0324] The emotion engine recognizes the user's emotions and generates optimal psychological care advice based on the results. Using generative AI technology, it identifies the most effective relaxation techniques for the user. In this process, multiple relaxation methods may be combined depending on the user's emotions.

[0325] Step 6:

[0326] The server sends the generated psychological care advice to the user's device. The advice is presented in a format that is easy for the user to understand.

[0327] Step 7:

[0328] The device displays the received advice to the user using an intuitive interface. It supports user implementation by including visual guides and, where necessary, voice instructions.

[0329] Step 8:

[0330] Users perform relaxation techniques according to the provided guidelines. After the technique is performed, they can also send feedback about their experience and the effects to the server via their device.

[0331] This series of processes allows users to receive psychological care tailored to their own emotions.

[0332] (Example 2)

[0333] Next, we will describe Example 2. 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".

[0334] In modern society, accurately recognizing the emotional problems such as stress and anxiety that individual users face, and providing appropriate psychological care and relaxation methods accordingly, is a crucial challenge. However, conventional technologies have made it difficult to individually identify the diverse emotional states of users and provide advice tailored to those states.

[0335] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0336] In this invention, the server includes a device for receiving user input information, an analysis device for analyzing the received information and recognizing the user's emotional state, and a generation device for generating psychological care suggestions based on the analysis results. This makes it possible to accurately identify the diverse emotional states of users and provide individually personalized care.

[0337] A "device for receiving user input information" is a device for acquiring text data related to emotions and situations provided by the user from a terminal.

[0338] An "analysis device" is a device that analyzes information contained in the text data received from a user and identifies their emotional state and related elements.

[0339] A "generation device" is a device that constructs and generates psychological care proposals to be provided to users based on analysis results.

[0340] A "presentation device" is a device that provides the generated proposal to the user visually or audibly.

[0341] A "server" is a central computer system that coordinates these devices and manages and processes the reception, analysis, generation, and presentation of information in a unified manner.

[0342] A "generative AI model" is a model that uses artificial intelligence technology to automatically generate suggestions that are appropriate to the user's emotions, and includes an algorithm for this purpose.

[0343] "Natural language processing technology" is a technique that converts text data into a format that machines can understand and uses to accurately analyze emotions and information.

[0344] The embodiments for carrying out the invention will be specifically described focusing on three components: the user, the terminal, and the server. The present invention is a system for recognizing the user's emotions and providing individualized psychological care advice accordingly.

[0345] First, the user uses their device to input text data about their emotions and the situation. This input information is sent to the server via the device's data communication function. The server has an analysis device to analyze the received text data and uses natural language processing technology to identify the user's emotions. This analysis uses algorithms for keyword extraction and contextual analysis.

[0346] Next, the server uses a generative AI model to automatically generate psychological care suggestions based on the identified emotions. The generated suggestions are sent to the terminal and provided to the user. For example, if the user inputs "I've been feeling stressed at work lately," the server will generate a suggestion such as "Try breathing exercises or meditation to reduce stress." In this generation process, a prompt is given to the AI ​​model requesting, "Analyze the emotions the user is feeling and provide specific advice to reduce stress."

[0347] Thus, the present invention enables the provision of personalized psychological care based on the user's emotions by utilizing specific hardware and software configurations. This allows users to receive support in maintaining a better mental state.

[0348] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0349] Step 1:

[0350] Users input information about their emotions and circumstances in text format using the device's interface. This input information is used as basic data to understand the user's mental state.

[0351] Step 2:

[0352] The terminal sends text information entered by the user to the server. Specifically, it transfers text data to the server via a secure communication channel, providing the server with the user's input information.

[0353] Step 3:

[0354] The server passes the received user text information to the analysis device. The analysis device uses natural language processing technology to analyze the text data, extracting keywords and performing contextual analysis to identify the emotional state expressed by the user. This process yields output that identifies emotions such as "stress" and "anxiety" from the text.

[0355] Step 4:

[0356] The server calls a generative AI model based on emotional state information obtained from the analysis device and generates psychological care suggestions suitable for the user using prompt sentences. Specifically, prompt sentences such as "Please analyze the emotions the user is feeling and give specific advice to reduce stress" are input to the generative AI model, and the psychological care suggestions generated by the model are received.

[0357] Step 5:

[0358] The server sends the generated psychological care suggestions to the terminal. The suggestions are formatted to be easily understood by the user.

[0359] Step 6:

[0360] The terminal provides the user with advice received from the server through a user interface. In doing so, it visually and audibly guides the user through suggested relaxation techniques and advice, presenting them in a way that is easy for the user to implement.

[0361] (Application Example 2)

[0362] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0363] Currently, providing personalized services and psychological care based on customers' emotional states in physical stores is difficult, resulting in a lack of individualized support to meet diverse customer needs. In particular, when customers are experiencing stress, appropriate care methods to improve their store experience are not being provided. This leads to decreased customer satisfaction and poses a challenge to store operations.

[0364] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0365] In this invention, the server includes an information receiving means for receiving user input information, an information analysis means for analyzing the received information to identify the user's mental state, and an advice generating means for providing psychological care advice generated based on the analysis results. This makes it possible to provide personalized psychological care advice that is tailored to the emotional state of the customer.

[0366] "Information receiving means" refers to a means of receiving input information from a user and processing it within the system.

[0367] "Information analysis means" refers to methods that use technology to analyze received information and identify the user's mental state.

[0368] An "advice generation method" is a means for creating psychological care advice for users based on analysis results.

[0369] "Information transmission means" refers to the means of conveying the generated advice to the user.

[0370] A "visual presentation method" is a means of providing information to a user visually.

[0371] "Voice guidance means" refers to a means of providing information to users through voice.

[0372] To implement this invention, the server first receives user input information. When the user inputs their emotions and state of mind as text into smart glasses or a smart device, this information is sent to the server via Bluetooth or Wi-Fi. The server uses Python and leverages natural language processing libraries such as NLTK and spaCy to analyze the text data and identify the user's mental state. Based on this analysis, generative AI technology is used to generate specific psychological care advice. In this process, a machine learning model using TensorFlow contributes to the generation of the advice.

[0373] The advice generated by the server is transmitted to the user via an information transmission method. Smart glasses display the advice visually as a visual presentation method. Voice guidance is also provided via an audio guidance method. For example, if the user inputs "I'm tired," the system analyzes this and suggests short meditations or deep breathing exercises to help with relaxation. Simultaneously, it also displays information about quiet rest areas as part of the store environment suggestions.

[0374] For example, when a user types "I'm very tired today," the emotion engine identifies it as "fatigue." Based on this, the generative AI model suggests meditation music and communicates it to the user with visual guidance. An example of a prompt would be, "The user typed 'I'm very tired today.' Please suggest a relaxation technique suitable for him." In this way, a system is built that can improve the user experience in physical stores.

[0375] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0376] Step 1:

[0377] The user inputs their current emotions and state as text through smart glasses. This text data is the input information and is sent to the server via Bluetooth or Wi-Fi.

[0378] Step 2:

[0379] The server receives text data from the user via an information receiving mechanism. The received text is processed using natural language processing libraries such as NLTK and spaCy to extract emotional keywords that indicate the user's mental state.

[0380] Step 3:

[0381] The server uses an emotion engine to identify the user's emotions based on extracted keywords. Using this emotional information as input, a generative AI model (TensorFlow-based) generates personalized psychological care advice. Specifically, it generates relaxation techniques and environmental suggestions tailored to the user's emotions.

[0382] Step 4:

[0383] The server packages the generated psychological care advice and sends it to the terminal via an information transmission method. At this stage, it includes not only text format but also data for audio and visual guidance.

[0384] Step 5:

[0385] The device displays the received advice on the smart glasses' screen using visual presentation means. It also provides audio guidance to the user using voice guidance means. This allows the user to confirm the advice through both visual and auditory means.

[0386] Step 6:

[0387] Users follow the presented relaxation techniques and accept the suggested environment within the store. They observe changes in their emotions throughout the experience and re-enter their thoughts if necessary. This creates a cyclical process that enables continuous care.

[0388] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0389] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet Search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0390] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0391] [Third Embodiment]

[0392] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0393] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0394] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0395] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0396] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0397] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0398] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0399] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0400] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0401] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0402] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0403] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0404] This invention relates to a system for providing personalized psychological care advice in accordance with the user's psychological needs.

[0405] Server embodiment:

[0406] The server first receives input information sent from the user's terminal. This information is provided in text format and reflects the user's current emotional state and psychological needs. Next, the server analyzes the received information using natural language processing techniques. In this analysis process, sentiment analysis tools are used, and the user's psychological state and the causes of their anxiety are identified through keyword extraction.

[0407] After analysis, the server uses generative AI technology to generate psychological care advice tailored to the user based on the analysis results. For example, if the user is experiencing strong anxiety, the server might suggest "deep breathing techniques to alleviate anxiety." This advice includes detailed explanations of specific steps and expected effects. Finally, the server sends the generated advice to the user's device.

[0408] Terminal embodiment:

[0409] The terminal displays psychological care advice received from the server to the user. The displayed advice is provided in a format that is easy for the user to understand intuitively, and may include visual guides or audio instructions when necessary. The terminal also accepts additional input from the user and has the function to send requests to the server if further support is needed.

[0410] User embodiment:

[0411] Users input their feelings and circumstances using an interface on their device and receive advice from the system. Based on this advice, they can try relaxation techniques to reduce psychological stress and anxiety. For example, they can practice deep breathing to alleviate anxiety and then check its effectiveness. In this way, users can receive continuous and personalized psychological care.

[0412] For example, if a user is having trouble sleeping and uses the system, the server analyzes that information and suggests meditation techniques or bedtime routines to promote restful sleep. In this way, support tailored to the user's needs is provided.

[0413] The following describes the processing flow.

[0414] Step 1:

[0415] Users input their emotional state and problems in text format through the device's interface.

[0416] Step 2:

[0417] The terminal sends the information entered by the user to the server. During this process, the data is transmitted using a secure communication protocol.

[0418] Step 3:

[0419] The server receives user information transmitted from the terminal and records it in a database. This information is used to analyze the user's psychological state.

[0420] Step 4:

[0421] The server analyzes the received information using a natural language processing engine. This includes extracting keywords that indicate the user's emotions and detecting negative emotions.

[0422] Step 5:

[0423] Based on the analysis results, the server uses a generation AI module to generate personalized psychological care advice for the user. For example, it might provide details on specific relaxation techniques.

[0424] Step 6:

[0425] The server sends the generated advice to the terminal. The advice is presented in a user-friendly format and provides practical guidance.

[0426] Step 7:

[0427] The terminal displays advice received from the server to the user. The advice is displayed in a visual guide format and, if necessary, can also be output as audio.

[0428] Step 8:

[0429] Users can try out relaxation techniques by following the advice provided. After the session, if the user wishes to receive further information regarding the results or request continued support, they can enter more details and repeat the process from step 2.

[0430] (Example 1)

[0431] Next, we will describe Example 1. 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."

[0432] In modern life, many individuals experience significant mental stress and anxiety. In response to this situation, there is a need to provide personalized psychological care tailored to each user's individual psychological state. However, traditional methods have struggled to provide such individualized support, resulting in the inability to deliver immediate and appropriate advice to users.

[0433] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0434] In this invention, the server includes data receiving means for receiving user input information, data analysis means for analyzing the received information using natural language processing technology to identify emotional states and psychological needs, and advice generation means for generating psychological care advice using a generated AI model based on the analysis results. This makes it possible to provide accurate and personalized psychological care advice to individual users.

[0435] A "data receiving means" is a function that acquires input information from the user and stores it in a format usable within the system.

[0436] "Natural language processing technology" is a methodology for computers to understand and analyze human language, and is primarily a technology for analyzing information expressed in text and speech.

[0437] "Data analysis means" refers to a function that performs the necessary analysis based on received information to identify the user's emotional state and psychological needs.

[0438] A "generative AI model" is a type of artificial intelligence trained using machine learning, used to generate advice tailored to the user based on analysis results.

[0439] The "advice generation method" is a function that generates psychological care advice to be provided to the user based on the analyzed data.

[0440] "Data transmission means" refers to a function that transmits data in order to convey the generated advice to the user.

[0441] This invention is a system for providing personalized psychological care advice tailored to the user's psychological needs.

[0442] Server embodiment:

[0443] The server receives input information sent from the user's terminal. This input information is in text format, reflecting the user's emotional state and psychological needs. The received information is processed using natural language processing technology and analyzed by sentiment analysis tools. This analysis extracts keywords from the text and identifies the user's psychological state and the causes of their anxiety. Based on the analysis results, the server utilizes a generative AI model to generate psychological care advice tailored to the user. For example, if a user sends "I haven't been able to sleep lately," the server can analyze this information and generate advice suggesting meditation techniques or bedtime routines for better sleep. The server then sends the generated advice to the user's terminal. This entire process is primarily implemented using cloud services and various APIs.

[0444] Terminal embodiment:

[0445] The terminal displays psychological care advice received from the server to the user. The advice is presented in a format that is easy for the user to understand, and may include visual guidance or audio instructions as needed. The terminal also accepts additional input from the user and can resend a request to the server if further support is required.

[0446] User embodiment:

[0447] Users input information about their emotions and circumstances using an interface on their device. Based on this data, the system provides individually personalized advice. Specifically, if a user is feeling anxious, concrete action plans such as "deep breathing techniques to alleviate anxiety" will be suggested. Users can then incorporate this advice into their daily lives to reduce psychological stress.

[0448] Specific examples and prompt examples:

[0449] For example, if a user uses the system in a situation where they are having trouble sleeping, the server will analyze that information and suggest meditation techniques or bedtime routines for better sleep. An example of a prompt message is as follows:

[0450] "I've been having trouble sleeping lately. How can I get a good night's sleep?"

[0451] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0452] Step 1:

[0453] The server receives text-based input information sent from the user's terminal. This information includes the user's emotional state and psychological needs. The received data is stored in the server's database and used as basic information for subsequent processing.

[0454] Step 2:

[0455] The server analyzes the received information using natural language processing techniques. This analysis extracts keywords from the text and identifies the user's emotional state using sentiment analysis tools. Specific data processing includes part-of-speech analysis and syntax analysis of the text. The output of the analysis is detailed data regarding the user's emotional state and psychological needs.

[0456] Step 3:

[0457] The server applies a generation AI model based on the analysis results to generate psychological care advice tailored to the user. In this generation process, the AI ​​creates the most suitable advice for the user's situation from the analysis results. The generated advice includes specific recommended actions and methods of psychological care, and is tailored to the user's needs.

[0458] Step 4:

[0459] The server sends the generated advice to the user's terminal via a data transmission mechanism. The transmitted data includes the advice in text format and additional information to complement it, such as links to audio instructions or visual guides.

[0460] Step 5:

[0461] The terminal displays psychological care advice received from the server to the user. The displayed content is formatted in a way that is easy for the user to understand, and it provides an intuitive interface. Based on this information, the user can put psychological care into practice.

[0462] (Application Example 1)

[0463] Next, we will explain Application Example 1. In the following explanation, 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."

[0464] Balancing improved work efficiency and employee health management in modern factories is a challenging task, and the psychological state of operators, in particular, has a significant impact on work performance. However, a system that can grasp and appropriately respond to employees' psychological states in real time has yet to be developed. This invention aims to solve this problem by using a robot to appropriately monitor the psychological state of operators and optimize work instructions as needed.

[0465] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0466] In this invention, the server includes data receiving means for receiving user input information, data analysis means for analyzing the received information to identify the user's mental state, and advice generation means for providing psychological care advice generated based on the analysis results. This enables monitoring of the operator's mental state and automatic optimization of advice and work instructions according to the situation.

[0467] A "data receiving means" is a function for receiving information from users and transferring it to the system.

[0468] "Data analysis means" refers to a function that analyzes received information to understand the user's mental state.

[0469] The "advice generation method" is a function that generates suggestions for psychological care tailored to the user based on the analyzed results.

[0470] A "data transmission means" is a function for transmitting generated advice to users and conveying information.

[0471] "Operation adjustment means" refers to a function that appropriately adjusts work instructions based on the user's psychological state to optimize work efficiency.

[0472] This invention provides a system that monitors the psychological state of workers in real time and optimizes work instructions as needed, in order to improve work efficiency within a factory.

[0473] The server performs multiple functions. First, it uses data receiving means to receive text and voice information from users (operators). This information serves as foundational data for understanding the operator's current mental state. Next, data analysis means operate to analyze the received information. Specifically, natural language processing technology is used to process the information, and software such as TensorFlow and Transformers (Hugging Face library) are utilized. This analysis identifies the operator's psychological state and stress level.

[0474] Based on the data analysis results, the server uses an advice generation mechanism to generate situation-appropriate psychological care advice. This generation process utilizes a generation AI model. For example, if it is detected that the operator is feeling fatigued, specific advice such as "take a short break" or "take deep breaths" will be generated.

[0475] The generated advice is delivered to the user via a data transmission method. The advice is immediately provided to the operator through the robot's display and voice output device, ensuring it is received both visually and audibly.

[0476] For example, if an operator inputs "I can't concentrate today" into the system, the server performs a sentiment analysis and generates optimal advice. The server then suggests to the operator, "Let's move around a bit. Stretching might refresh your mood."

[0477] A concrete example of a prompt message would be something like, "If an employee's psychological state is unstable, what countermeasures would you suggest?" which would be input into the generating AI model. In this way, the system allows operators to receive psychological care advice while working.

[0478] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0479] Step 1:

[0480] The server receives user input information via a data receiving device. This input can be text or audio, and serves as fundamental data for understanding the user's psychological state.

[0481] Step 2:

[0482] The server analyzes the received input information using data analysis tools. This process uses natural language processing techniques to process text information. Software such as TensorFlow and Transformers are used to identify the user's emotional state and stress level. The input is text data, and the output is the analyzed psychological state information.

[0483] Step 3:

[0484] The server generates psychological care advice using an advice generation mechanism based on the analysis results. In this process, a generation AI model is utilized to create specific advice such as "Take a break" or "Take some deep breaths." The input is the analyzed information about the user's psychological state, and the output is the most appropriate psychological care advice for the user.

[0485] Step 4:

[0486] The server sends the generated advice to the user via a data transmission method. The advice is delivered visually and audibly through the robot's display and voice output device. The input is the generated advice information, and the output is the visual and auditory information for the user.

[0487] Step 5:

[0488] The user receives advice from the server and acts accordingly. Specifically, they perform actions such as taking a short break or stretching, following the generated advice. Based on the user's input, the server receives further data and provides additional support as needed.

[0489] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0490] This invention relates to a system for recognizing a user's emotions and providing personalized psychological care advice based on those emotions. The user uses a terminal interface to input their emotions and situation in text format. The terminal then transmits this information to a server.

[0491] Server embodiment:

[0492] The server first receives user information from the terminal. Next, it analyzes the user's input using information analysis tools and recognizes the user's emotions using an emotion engine. This emotion engine identifies the emotions the user is currently experiencing by analyzing emotion-related keywords and context contained in the text. Based on these results, it uses generative AI technology to generate personalized psychological care advice tailored to the user's emotions.

[0493] For example, if the emotion engine detects both "stress" and "anxiety" in a user's message, the server will suggest several relaxation techniques accordingly. These may include breathing exercises to reduce stress and meditation techniques to alleviate anxiety. The generated advice includes visual and audio guidance and is designed to be intuitively understandable and easy for the user to implement.

[0494] Terminal embodiment:

[0495] The terminal provides the user with advice received from the server through an intuitive user interface. It displays guidelines and action lists for implementing the suggested relaxation techniques. Furthermore, it has a function to send additional information to the server if the user requests further support.

[0496] User embodiment:

[0497] Users can try relaxation techniques to reduce stress and anxiety in their daily lives by following the advice provided. For example, while performing a specific breathing exercise, they can follow the device's guide to track their progress and experience the effects.

[0498] In this way, by providing personalized care tailored to each individual based on information about the user's psychological state, users can maintain a better mental health.

[0499] The following describes the processing flow.

[0500] Step 1:

[0501] Users input information about their emotions and psychological state in text format through their device. Specifically, they describe situations that cause them stress and the causes of their anxiety.

[0502] Step 2:

[0503] The terminal sends the information entered by the user to the server. This data is converted into an appropriate format for easy analysis and transmitted encrypted.

[0504] Step 3:

[0505] The server receives user information sent from the terminal. The received information is securely stored in an internal database and used for subsequent analysis.

[0506] Step 4:

[0507] The server analyzes the received text using information analysis tools and activates the emotion engine. The emotion engine then analyzes keywords and context within the text and performs the task of recognizing emotions.

[0508] Step 5:

[0509] The emotion engine recognizes the user's emotions and generates optimal psychological care advice based on the results. Using generative AI technology, it identifies the most effective relaxation techniques for the user. In this process, multiple relaxation methods may be combined depending on the user's emotions.

[0510] Step 6:

[0511] The server sends the generated psychological care advice to the user's device. The advice is presented in a format that is easy for the user to understand.

[0512] Step 7:

[0513] The device displays the received advice to the user using an intuitive interface. It supports user implementation by including visual guides and, where necessary, voice instructions.

[0514] Step 8:

[0515] Users perform relaxation techniques according to the provided guidelines. After the session, they can also send feedback about their experience and the effects to the server via their device.

[0516] This series of processes allows users to receive psychological care tailored to their own emotions.

[0517] (Example 2)

[0518] Next, we will describe Example 2. 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."

[0519] In modern society, accurately recognizing the emotional problems such as stress and anxiety that individual users face, and providing appropriate psychological care and relaxation methods accordingly, is a crucial challenge. However, conventional technologies have made it difficult to individually identify the diverse emotional states of users and provide advice tailored to those states.

[0520] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0521] In this invention, the server includes a device for receiving user input information, an analysis device for analyzing the received information and recognizing the user's emotional state, and a generation device for generating psychological care suggestions based on the analysis results. This makes it possible to accurately identify the diverse emotional states of users and provide individually personalized care.

[0522] A "device for receiving user input information" is a device for acquiring text data related to emotions and situations provided by the user from a terminal.

[0523] An "analysis device" is a device that analyzes information contained in the text data received from a user and identifies their emotional state and related elements.

[0524] A "generation device" is a device that constructs and generates psychological care proposals to be provided to users based on analysis results.

[0525] A "presentation device" is a device that provides the generated proposal to the user visually or audibly.

[0526] A "server" is a central computer system that coordinates these devices and manages and processes the reception, analysis, generation, and presentation of information in a unified manner.

[0527] A "generative AI model" is a model that uses artificial intelligence technology to automatically generate suggestions that are appropriate to the user's emotions, and includes an algorithm for this purpose.

[0528] "Natural language processing technology" is a technique that converts text data into a format that machines can understand and uses to accurately analyze emotions and information.

[0529] The embodiments for carrying out the invention will be specifically described focusing on three components: the user, the terminal, and the server. The present invention is a system for recognizing the user's emotions and providing individualized psychological care advice accordingly.

[0530] First, the user uses their device to input text data about their emotions and the situation. This input information is sent to the server via the device's data communication function. The server has an analysis device to analyze the received text data and uses natural language processing technology to identify the user's emotions. This analysis uses algorithms for keyword extraction and contextual analysis.

[0531] Next, the server uses a generative AI model to automatically generate psychological care suggestions based on the identified emotions. The generated suggestions are sent to the terminal and provided to the user. For example, if the user inputs "I've been feeling stressed at work lately," the server will generate a suggestion such as "Try breathing exercises or meditation to reduce stress." In this generation process, a prompt is given to the AI ​​model requesting, "Analyze the emotions the user is feeling and provide specific advice to reduce stress."

[0532] Thus, the present invention enables the provision of personalized psychological care based on the user's emotions by utilizing specific hardware and software configurations. This allows users to receive support in maintaining a better mental state.

[0533] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0534] Step 1:

[0535] Users input information about their emotions and circumstances in text format using the device's interface. This input information is used as basic data to understand the user's mental state.

[0536] Step 2:

[0537] The terminal sends text information entered by the user to the server. Specifically, it transfers text data to the server via a secure communication channel, providing the server with the user's input information.

[0538] Step 3:

[0539] The server passes the received user text information to the analysis device. The analysis device uses natural language processing technology to analyze the text data, extracting keywords and performing contextual analysis to identify the emotional state expressed by the user. This process yields output that identifies emotions such as "stress" and "anxiety" from the text.

[0540] Step 4:

[0541] The server calls a generative AI model based on emotional state information obtained from the analysis device and generates psychological care suggestions suitable for the user using prompt sentences. Specifically, prompt sentences such as "Please analyze the emotions the user is feeling and give specific advice to reduce stress" are input to the generative AI model, and the psychological care suggestions generated by the model are received.

[0542] Step 5:

[0543] The server sends the generated psychological care suggestions to the terminal. The suggestions are formatted to be easily understood by the user.

[0544] Step 6:

[0545] The terminal provides the user with advice received from the server through a user interface. In doing so, it visually and audibly guides the user through suggested relaxation techniques and advice, presenting them in a way that is easy for the user to implement.

[0546] (Application Example 2)

[0547] Next, we will explain Application Example 2. In the following explanation, 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."

[0548] Currently, providing personalized services and psychological care based on customers' emotional states in physical stores is difficult, resulting in a lack of individualized support to meet diverse customer needs. In particular, when customers are experiencing stress, appropriate care methods to improve their store experience are not being provided. This leads to decreased customer satisfaction and poses a challenge to store operations.

[0549] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0550] In this invention, the server includes an information receiving means for receiving user input information, an information analysis means for analyzing the received information to identify the user's mental state, and an advice generating means for providing psychological care advice generated based on the analysis results. This makes it possible to provide personalized psychological care advice that is tailored to the emotional state of the customer.

[0551] "Information receiving means" refers to a means of receiving input information from a user and processing it within the system.

[0552] "Information analysis means" refers to methods that use technology to analyze received information and identify the user's mental state.

[0553] An "advice generation method" is a means for creating psychological care advice for users based on analysis results.

[0554] "Information transmission means" refers to the means of conveying the generated advice to the user.

[0555] A "visual presentation method" is a means of providing information to a user visually.

[0556] "Voice guidance means" refers to a means of providing information to users through voice.

[0557] To implement this invention, the server first receives user input information. When the user inputs their emotions and state of mind as text into smart glasses or a smart device, this information is sent to the server via Bluetooth or Wi-Fi. The server uses Python and leverages natural language processing libraries such as NLTK and spaCy to analyze the text data and identify the user's mental state. Based on this analysis, generative AI technology is used to generate specific psychological care advice. In this process, a machine learning model using TensorFlow contributes to the generation of the advice.

[0558] The advice generated by the server is transmitted to the user via an information transmission method. Smart glasses display the advice visually as a visual presentation method. Voice guidance is also provided via an audio guidance method. For example, if the user inputs "I'm tired," the system analyzes this and suggests short meditations or deep breathing exercises to help with relaxation. Simultaneously, it also displays information about quiet rest areas as part of the store environment suggestions.

[0559] For example, when a user types "I'm very tired today," the emotion engine identifies it as "fatigue." Based on this, the generative AI model suggests meditation music and communicates it to the user with visual guidance. An example of a prompt would be, "The user typed 'I'm very tired today.' Please suggest a relaxation technique suitable for him." In this way, a system is built that can improve the user experience in physical stores.

[0560] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0561] Step 1:

[0562] The user inputs their current emotions and state as text through smart glasses. This text data is the input information and is sent to the server via Bluetooth or Wi-Fi.

[0563] Step 2:

[0564] The server receives text data from the user via an information receiving mechanism. The received text is processed using natural language processing libraries such as NLTK and spaCy to extract emotional keywords that indicate the user's mental state.

[0565] Step 3:

[0566] The server uses an emotion engine to identify the user's emotions based on extracted keywords. Using this emotional information as input, a generative AI model (TensorFlow-based) generates personalized psychological care advice. Specifically, it generates relaxation techniques and environmental suggestions tailored to the user's emotions.

[0567] Step 4:

[0568] The server packages the generated psychological care advice and sends it to the terminal via an information transmission method. At this stage, it includes not only text format but also data for audio and visual guidance.

[0569] Step 5:

[0570] The device displays the received advice on the smart glasses' screen using visual presentation means. It also provides audio guidance to the user using voice guidance means. This allows the user to confirm the advice through both visual and auditory means.

[0571] Step 6:

[0572] Users follow the presented relaxation techniques and accept the suggested environment within the store. They observe changes in their emotions throughout the experience and re-enter their thoughts if necessary. This creates a cyclical process that enables continuous care.

[0573] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0574] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0575] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0576] [Fourth Embodiment]

[0577] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0578] As shown in Figure 7, the 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.

[0579] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0580] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0581] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0582] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0583] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0584] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0585] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0586] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0587] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0588] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0589] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0590] This invention relates to a system for providing personalized psychological care advice in accordance with the user's psychological needs.

[0591] Server embodiment:

[0592] The server first receives input information sent from the user's terminal. This information is provided in text format and reflects the user's current emotional state and psychological needs. Next, the server analyzes the received information using natural language processing techniques. In this analysis process, sentiment analysis tools are used, and the user's psychological state and the causes of their anxiety are identified through keyword extraction.

[0593] After analysis, the server uses generative AI technology to generate psychological care advice tailored to the user based on the analysis results. For example, if the user is experiencing strong anxiety, the server might suggest "deep breathing techniques to alleviate anxiety." This advice includes detailed explanations of specific steps and expected effects. Finally, the server sends the generated advice to the user's device.

[0594] Terminal embodiment:

[0595] The terminal displays psychological care advice received from the server to the user. The displayed advice is provided in a format that is easy for the user to understand intuitively, and may include visual guides or audio instructions when necessary. The terminal also accepts additional input from the user and has the function to send requests to the server if further support is needed.

[0596] User embodiment:

[0597] Users input their feelings and circumstances using an interface on their device and receive advice from the system. Based on this advice, they can try relaxation techniques to reduce psychological stress and anxiety. For example, they can practice deep breathing to alleviate anxiety and then check its effectiveness. In this way, users can receive continuous and personalized psychological care.

[0598] For example, if a user is having trouble sleeping and uses the system, the server analyzes that information and suggests meditation techniques or bedtime routines to promote restful sleep. In this way, support tailored to the user's needs is provided.

[0599] The following describes the processing flow.

[0600] Step 1:

[0601] Users input their emotional state and problems in text format through the device's interface.

[0602] Step 2:

[0603] The terminal sends the information entered by the user to the server. During this process, the data is transmitted using a secure communication protocol.

[0604] Step 3:

[0605] The server receives user information transmitted from the terminal and records it in a database. This information is used to analyze the user's psychological state.

[0606] Step 4:

[0607] The server analyzes the received information using a natural language processing engine. This includes extracting keywords that indicate the user's emotions and detecting negative emotions.

[0608] Step 5:

[0609] Based on the analysis results, the server uses a generation AI module to generate personalized psychological care advice for the user. For example, it might provide details on specific relaxation techniques.

[0610] Step 6:

[0611] The server sends the generated advice to the terminal. The advice is presented in a user-friendly format and provides practical guidance.

[0612] Step 7:

[0613] The terminal displays advice received from the server to the user. The advice is displayed in a visual guide format and, if necessary, can also be output as audio.

[0614] Step 8:

[0615] Users can try out relaxation techniques by following the advice provided. After the session, if the user wishes to receive further information regarding the results or request continued support, they can enter more details and repeat the process from step 2.

[0616] (Example 1)

[0617] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0618] In modern life, many individuals experience significant mental stress and anxiety. In response to this situation, there is a need to provide personalized psychological care tailored to each user's individual psychological state. However, traditional methods have struggled to provide such individualized support, resulting in the inability to deliver immediate and appropriate advice to users.

[0619] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0620] In this invention, the server includes data receiving means for receiving user input information, data analysis means for analyzing the received information using natural language processing technology to identify emotional states and psychological needs, and advice generation means for generating psychological care advice using a generated AI model based on the analysis results. This makes it possible to provide accurate and personalized psychological care advice to individual users.

[0621] A "data receiving means" is a function that acquires input information from the user and stores it in a format usable within the system.

[0622] "Natural language processing technology" is a methodology for computers to understand and analyze human language, and is primarily a technology for analyzing information expressed in text and speech.

[0623] "Data analysis means" refers to a function that performs the necessary analysis based on received information to identify the user's emotional state and psychological needs.

[0624] A "generative AI model" is a type of artificial intelligence trained using machine learning, used to generate advice tailored to the user based on analysis results.

[0625] The "advice generation method" is a function that generates psychological care advice to be provided to the user based on the analyzed data.

[0626] "Data transmission means" refers to a function that transmits data in order to convey the generated advice to the user.

[0627] This invention is a system for providing personalized psychological care advice tailored to the user's psychological needs.

[0628] Server embodiment:

[0629] The server receives input information sent from the user's terminal. This input information is in text format, reflecting the user's emotional state and psychological needs. The received information is processed using natural language processing technology and analyzed by sentiment analysis tools. This analysis extracts keywords from the text and identifies the user's psychological state and the causes of their anxiety. Based on the analysis results, the server utilizes a generative AI model to generate psychological care advice tailored to the user. For example, if a user sends "I haven't been able to sleep lately," the server can analyze this information and generate advice suggesting meditation techniques or bedtime routines for better sleep. The server then sends the generated advice to the user's terminal. This entire process is primarily implemented using cloud services and various APIs.

[0630] Terminal embodiment:

[0631] The terminal displays psychological care advice received from the server to the user. The advice is presented in a format that is easy for the user to understand, and may include visual guidance or audio instructions as needed. The terminal also accepts additional input from the user and can resend a request to the server if further support is required.

[0632] User embodiment:

[0633] Users input information about their emotions and circumstances using an interface on their device. Based on this data, the system provides individually personalized advice. Specifically, if a user is feeling anxious, concrete action plans such as "deep breathing techniques to alleviate anxiety" will be suggested. Users can then incorporate this advice into their daily lives to reduce psychological stress.

[0634] Specific examples and prompt examples:

[0635] For example, if a user uses the system in a situation where they are having trouble sleeping, the server will analyze that information and suggest meditation techniques or bedtime routines for better sleep. An example of a prompt message is as follows:

[0636] "I've been having trouble sleeping lately. How can I get a good night's sleep?"

[0637] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0638] Step 1:

[0639] The server receives text-based input information sent from the user's terminal. This information includes the user's emotional state and psychological needs. The received data is stored in the server's database and used as basic information for subsequent processing.

[0640] Step 2:

[0641] The server analyzes the received information using natural language processing techniques. This analysis extracts keywords from the text and identifies the user's emotional state using sentiment analysis tools. Specific data processing includes part-of-speech analysis and syntax analysis of the text. The output of the analysis is detailed data regarding the user's emotional state and psychological needs.

[0642] Step 3:

[0643] The server applies a generation AI model based on the analysis results to generate psychological care advice tailored to the user. In this generation process, the AI ​​creates the most suitable advice for the user's situation from the analysis results. The generated advice includes specific recommended actions and methods of psychological care, and is tailored to the user's needs.

[0644] Step 4:

[0645] The server sends the generated advice to the user's terminal via a data transmission mechanism. The transmitted data includes the advice in text format and additional information to complement it, such as links to audio instructions or visual guides.

[0646] Step 5:

[0647] The terminal displays psychological care advice received from the server to the user. The displayed content is formatted in a way that is easy for the user to understand, and it provides an intuitive interface. Based on this information, the user can put psychological care into practice.

[0648] (Application Example 1)

[0649] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0650] Balancing improved work efficiency and employee health management in modern factories is a challenging task, and the psychological state of operators, in particular, has a significant impact on work performance. However, a system that can grasp and appropriately respond to employees' psychological states in real time has yet to be developed. This invention aims to solve this problem by using a robot to appropriately monitor the psychological state of operators and optimize work instructions as needed.

[0651] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0652] In this invention, the server includes data receiving means for receiving user input information, data analysis means for analyzing the received information to identify the user's mental state, and advice generation means for providing psychological care advice generated based on the analysis results. This enables monitoring of the operator's mental state and automatic optimization of advice and work instructions according to the situation.

[0653] A "data receiving means" is a function for receiving information from users and transferring it to the system.

[0654] "Data analysis means" refers to a function that analyzes received information to understand the user's mental state.

[0655] The "advice generation method" is a function that generates suggestions for psychological care tailored to the user based on the analyzed results.

[0656] A "data transmission means" is a function for transmitting generated advice to users and conveying information.

[0657] "Operation adjustment means" refers to a function that appropriately adjusts work instructions based on the user's psychological state to optimize work efficiency.

[0658] This invention provides a system that monitors the psychological state of workers in real time and optimizes work instructions as needed, in order to improve work efficiency within a factory.

[0659] The server performs multiple functions. First, it uses data receiving means to receive text and voice information from users (operators). This information serves as foundational data for understanding the operator's current mental state. Next, data analysis means operate to analyze the received information. Specifically, natural language processing technology is used to process the information, and software such as TensorFlow and Transformers (Hugging Face library) are utilized. This analysis identifies the operator's psychological state and stress level.

[0660] Based on the data analysis results, the server uses an advice generation mechanism to generate situation-appropriate psychological care advice. This generation process utilizes a generation AI model. For example, if it is detected that the operator is feeling fatigued, specific advice such as "take a short break" or "take deep breaths" will be generated.

[0661] The generated advice is delivered to the user via a data transmission method. The advice is immediately provided to the operator through the robot's display and voice output device, ensuring it is received both visually and audibly.

[0662] For example, if an operator inputs "I can't concentrate today" into the system, the server performs a sentiment analysis and generates optimal advice. The server then suggests to the operator, "Let's move around a bit. Stretching might refresh your mood."

[0663] A concrete example of a prompt message would be something like, "If an employee's psychological state is unstable, what countermeasures would you suggest?" which would be input into the generating AI model. In this way, the system allows operators to receive psychological care advice while working.

[0664] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0665] Step 1:

[0666] The server receives user input information via a data receiving device. This input can be text or audio, and serves as fundamental data for understanding the user's psychological state.

[0667] Step 2:

[0668] The server analyzes the received input information using data analysis tools. This process uses natural language processing techniques to process text information. Software such as TensorFlow and Transformers are used to identify the user's emotional state and stress level. The input is text data, and the output is the analyzed psychological state information.

[0669] Step 3:

[0670] The server generates psychological care advice using an advice generation mechanism based on the analysis results. In this process, a generation AI model is utilized to create specific advice such as "Take a break" or "Take some deep breaths." The input is the analyzed information about the user's psychological state, and the output is the most appropriate psychological care advice for the user.

[0671] Step 4:

[0672] The server sends the generated advice to the user via a data transmission method. The advice is delivered visually and audibly through the robot's display and voice output device. The input is the generated advice information, and the output is the visual and auditory information for the user.

[0673] Step 5:

[0674] The user receives advice from the server and acts accordingly. Specifically, they perform actions such as taking a short break or stretching, following the generated advice. Based on the user's input, the server receives further data and provides additional support as needed.

[0675] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0676] This invention relates to a system for recognizing a user's emotions and providing personalized psychological care advice based on those emotions. The user uses a terminal interface to input their emotions and situation in text format. The terminal then transmits this information to a server.

[0677] Server embodiment:

[0678] The server first receives user information from the terminal. Next, it analyzes the user's input using information analysis tools and recognizes the user's emotions using an emotion engine. This emotion engine identifies the emotions the user is currently experiencing by analyzing emotion-related keywords and context contained in the text. Based on these results, it uses generative AI technology to generate personalized psychological care advice tailored to the user's emotions.

[0679] For example, if the emotion engine detects both "stress" and "anxiety" in a user's message, the server will suggest several relaxation techniques accordingly. These may include breathing exercises to reduce stress and meditation techniques to alleviate anxiety. The generated advice includes visual and audio guidance and is designed to be intuitively understandable and easy for the user to implement.

[0680] Terminal embodiment:

[0681] The terminal provides the user with advice received from the server through an intuitive user interface. It displays guidelines and action lists for implementing the suggested relaxation techniques. Furthermore, it has a function to send additional information to the server if the user requests further support.

[0682] User embodiment:

[0683] Users can try relaxation techniques to reduce stress and anxiety in their daily lives by following the advice provided. For example, while performing a specific breathing exercise, they can follow the device's guide to track their progress and experience the effects.

[0684] In this way, by providing personalized care tailored to each individual based on information about the user's psychological state, users can maintain a better mental health.

[0685] The following describes the processing flow.

[0686] Step 1:

[0687] Users input information about their emotions and psychological state in text format through their device. Specifically, they describe situations that cause them stress and the causes of their anxiety.

[0688] Step 2:

[0689] The terminal sends the information entered by the user to the server. This data is converted into an appropriate format for easy analysis and transmitted encrypted.

[0690] Step 3:

[0691] The server receives user information sent from the terminal. The received information is securely stored in an internal database and used for subsequent analysis.

[0692] Step 4:

[0693] The server analyzes the received text using information analysis tools and activates the emotion engine. The emotion engine then analyzes keywords and context within the text and performs the task of recognizing emotions.

[0694] Step 5:

[0695] The emotion engine recognizes the user's emotions and generates optimal psychological care advice based on the results. Using generative AI technology, it identifies the most effective relaxation techniques for the user. In this process, multiple relaxation methods may be combined depending on the user's emotions.

[0696] Step 6:

[0697] The server sends the generated psychological care advice to the user's device. The advice is presented in a format that is easy for the user to understand.

[0698] Step 7:

[0699] The device displays the received advice to the user using an intuitive interface. It supports user implementation by including visual guides and, where necessary, voice instructions.

[0700] Step 8:

[0701] Users perform relaxation techniques according to the provided guidelines. After the session, they can also send feedback about their experience and the effects to the server via their device.

[0702] This series of processes allows users to receive psychological care tailored to their own emotions.

[0703] (Example 2)

[0704] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0705] In modern society, accurately recognizing the emotional problems such as stress and anxiety that individual users face, and providing appropriate psychological care and relaxation methods accordingly, is a crucial challenge. However, conventional technologies have made it difficult to individually identify the diverse emotional states of users and provide advice tailored to those states.

[0706] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0707] In this invention, the server includes a device for receiving user input information, an analysis device for analyzing the received information and recognizing the user's emotional state, and a generation device for generating psychological care suggestions based on the analysis results. This makes it possible to accurately identify the diverse emotional states of users and provide individually personalized care.

[0708] A "device for receiving user input information" is a device for acquiring text data related to emotions and situations provided by the user from a terminal.

[0709] An "analysis device" is a device that analyzes information contained in the text data received from a user and identifies their emotional state and related elements.

[0710] A "generation device" is a device that constructs and generates psychological care proposals to be provided to users based on analysis results.

[0711] A "presentation device" is a device that provides the generated proposal to the user visually or audibly.

[0712] A "server" is a central computer system that coordinates these devices and manages and processes the reception, analysis, generation, and presentation of information in a unified manner.

[0713] A "generative AI model" is a model that uses artificial intelligence technology to automatically generate suggestions that are appropriate to the user's emotions, and includes an algorithm for this purpose.

[0714] "Natural language processing technology" is a technique that converts text data into a format that machines can understand and uses to accurately analyze emotions and information.

[0715] The embodiments for carrying out the invention will be specifically described focusing on three components: the user, the terminal, and the server. The present invention is a system for recognizing the user's emotions and providing individualized psychological care advice accordingly.

[0716] First, the user uses their device to input text data about their emotions and the situation. This input information is sent to the server via the device's data communication function. The server has an analysis device to analyze the received text data and uses natural language processing technology to identify the user's emotions. This analysis uses algorithms for keyword extraction and contextual analysis.

[0717] Next, the server uses a generative AI model to automatically generate psychological care suggestions based on the identified emotions. The generated suggestions are sent to the terminal and provided to the user. For example, if the user inputs "I've been feeling stressed at work lately," the server will generate a suggestion such as "Try breathing exercises or meditation to reduce stress." In this generation process, a prompt is given to the AI ​​model requesting, "Analyze the emotions the user is feeling and provide specific advice to reduce stress."

[0718] Thus, the present invention enables the provision of personalized psychological care based on the user's emotions by utilizing specific hardware and software configurations. This allows users to receive support in maintaining a better mental state.

[0719] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0720] Step 1:

[0721] Users input information about their emotions and circumstances in text format using the device's interface. This input information is used as basic data to understand the user's mental state.

[0722] Step 2:

[0723] The terminal sends text information entered by the user to the server. Specifically, it transfers text data to the server via a secure communication channel, providing the server with the user's input information.

[0724] Step 3:

[0725] The server passes the received user text information to the analysis device. The analysis device uses natural language processing technology to analyze the text data, extracting keywords and performing contextual analysis to identify the emotional state expressed by the user. This process yields output that identifies emotions such as "stress" and "anxiety" from the text.

[0726] Step 4:

[0727] The server calls a generative AI model based on emotional state information obtained from the analysis device and generates psychological care suggestions suitable for the user using prompt sentences. Specifically, prompt sentences such as "Please analyze the emotions the user is feeling and give specific advice to reduce stress" are input to the generative AI model, and the psychological care suggestions generated by the model are received.

[0728] Step 5:

[0729] The server sends the generated psychological care suggestions to the terminal. The suggestions are formatted to be easily understood by the user.

[0730] Step 6:

[0731] The terminal provides the user with advice received from the server through a user interface. In doing so, it visually and audibly guides the user through suggested relaxation techniques and advice, presenting them in a way that is easy for the user to implement.

[0732] (Application Example 2)

[0733] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0734] Currently, providing personalized services and psychological care based on customers' emotional states in physical stores is difficult, resulting in a lack of individualized support to meet diverse customer needs. In particular, when customers are experiencing stress, appropriate care methods to improve their store experience are not being provided. This leads to decreased customer satisfaction and poses a challenge to store operations.

[0735] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0736] In this invention, the server includes an information receiving means for receiving user input information, an information analysis means for analyzing the received information to identify the user's mental state, and an advice generating means for providing psychological care advice generated based on the analysis results. This makes it possible to provide personalized psychological care advice that is tailored to the emotional state of the customer.

[0737] "Information receiving means" refers to a means of receiving input information from a user and processing it within the system.

[0738] "Information analysis means" refers to methods that use technology to analyze received information and identify the user's mental state.

[0739] An "advice generation method" is a means for creating psychological care advice for users based on analysis results.

[0740] "Information transmission means" refers to the means of conveying the generated advice to the user.

[0741] A "visual presentation method" is a means of providing information to a user visually.

[0742] "Voice guidance means" refers to a means of providing information to users through voice.

[0743] To implement this invention, the server first receives user input information. When the user inputs their emotions and state of mind as text into smart glasses or a smart device, this information is sent to the server via Bluetooth or Wi-Fi. The server uses Python and leverages natural language processing libraries such as NLTK and spaCy to analyze the text data and identify the user's mental state. Based on this analysis, generative AI technology is used to generate specific psychological care advice. In this process, a machine learning model using TensorFlow contributes to the generation of the advice.

[0744] The advice generated by the server is transmitted to the user via an information transmission method. Smart glasses display the advice visually as a visual presentation method. Voice guidance is also provided via an audio guidance method. For example, if the user inputs "I'm tired," the system analyzes this and suggests short meditations or deep breathing exercises to help with relaxation. Simultaneously, it also displays information about quiet rest areas as part of the store environment suggestions.

[0745] For example, when a user types "I'm very tired today," the emotion engine identifies it as "fatigue." Based on this, the generative AI model suggests meditation music and communicates it to the user with visual guidance. An example of a prompt would be, "The user typed 'I'm very tired today.' Please suggest a relaxation technique suitable for him." In this way, a system is built that can improve the user experience in physical stores.

[0746] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0747] Step 1:

[0748] The user inputs their current emotions and state as text through smart glasses. This text data is the input information and is sent to the server via Bluetooth or Wi-Fi.

[0749] Step 2:

[0750] The server receives text data from the user via an information receiving mechanism. The received text is processed using natural language processing libraries such as NLTK and spaCy to extract emotional keywords that indicate the user's mental state.

[0751] Step 3:

[0752] The server uses an emotion engine to identify the user's emotions based on extracted keywords. Using this emotional information as input, a generative AI model (TensorFlow-based) generates personalized psychological care advice. Specifically, it generates relaxation techniques and environmental suggestions tailored to the user's emotions.

[0753] Step 4:

[0754] The server packages the generated psychological care advice and sends it to the terminal via an information transmission method. At this stage, it includes not only text format but also data for audio and visual guidance.

[0755] Step 5:

[0756] The device displays the received advice on the smart glasses' screen using visual presentation means. It also provides audio guidance to the user using voice guidance means. This allows the user to confirm the advice through both visual and auditory means.

[0757] Step 6:

[0758] Users follow the presented relaxation techniques and accept the suggested environment within the store. They observe changes in their emotions throughout the experience and re-enter their thoughts if necessary. This creates a cyclical process that enables continuous care.

[0759] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0760] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0761] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0762] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0763] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0764] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0765] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0766] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0767] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0768] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0769] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0770] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0771] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0772] 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.

[0773] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0774] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0775] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0776] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0777] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0778] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0779] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0780] The following is further disclosed regarding the embodiments described above.

[0781] (Claim 1)

[0782] Information receiving means for receiving user input information,

[0783] An information analysis means that analyzes received information to identify the user's mental state,

[0784] An advice generation means that provides psychological care advice generated based on the analysis results,

[0785] A means of sending information to a user to provide advice,

[0786] A system that includes this.

[0787] (Claim 2)

[0788] The system according to claim 1, wherein the generated advice relates to relaxation techniques.

[0789] (Claim 3)

[0790] The system according to claim 1, which analyzes user input information using natural language processing technology.

[0791] "Example 1"

[0792] (Claim 1)

[0793] A data receiving means for receiving user input information,

[0794] A data analysis method that uses natural language processing technology to analyze received information and identify emotional states and psychological needs,

[0795] An advice generation method that generates psychological care advice using a generated AI model based on the analysis results,

[0796] A data transmission means for sending the generated advice to the user,

[0797] A system that includes this.

[0798] (Claim 2)

[0799] The system according to claim 1, wherein the generated advice relates to a relaxation method.

[0800] (Claim 3)

[0801] The system according to claim 1, which analyzes text-formatted input information and performs sentiment analysis.

[0802] "Application Example 1"

[0803] (Claim 1)

[0804] A data receiving means for receiving user input information,

[0805] A data analysis means that analyzes received information to identify the user's mental state,

[0806] An advice generation means that provides psychological care advice generated based on the analysis results,

[0807] A data transmission method for sending advice to the user,

[0808] An operation adjustment means that monitors the operator's psychological state and optimizes work instructions as needed,

[0809] A system that includes this.

[0810] (Claim 2)

[0811] The system according to claim 1, wherein the generated advice is a method for promoting psychological balance.

[0812] (Claim 3)

[0813] The system according to claim 1, which analyzes user input information using natural language processing technology.

[0814] "Example 2 of combining an emotion engine"

[0815] (Claim 1)

[0816] A device that receives user input information,

[0817] An analysis device that analyzes received information and recognizes the user's emotional state,

[0818] A generation device that generates psychological care proposals based on analysis results,

[0819] A presentation device that provides proposals to the user,

[0820] A device that transmits additional requests to the server via a user interface,

[0821] A means of generating proposals using a generative AI model,

[0822] A system that includes this.

[0823] (Claim 2)

[0824] The system according to claim 1, wherein the generated proposal is a method of relaxation.

[0825] (Claim 3)

[0826] The system according to claim 1, which analyzes user input information using natural language processing technology.

[0827] "Application example 2 when combining with an emotional engine"

[0828] (Claim 1)

[0829] Information receiving means for receiving user input information,

[0830] An information analysis means that analyzes received information to identify the user's mental state,

[0831] An advice generation means that provides psychological care advice generated based on the analysis results,

[0832] A means of sending information to a user to provide advice,

[0833] A visual presentation means that provides visual information to the user,

[0834] A voice guidance system that provides auditory information to the user,

[0835] A system that includes this.

[0836] (Claim 2)

[0837] The system according to claim 1, wherein the generated advice relates to relaxation techniques and includes environmental suggestions that correspond to emotions.

[0838] (Claim 3)

[0839] The system according to claim 1, which analyzes user input information using natural language processing technology and generates personalized advice using generative AI technology. [Explanation of symbols]

[0840] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Information receiving means for receiving user input information, An information analysis means that analyzes received information to identify the user's mental state, An advice generation means that provides psychological care advice generated based on the analysis results, A means of sending information to a user to provide advice, A system that includes this.

2. The system according to claim 1, wherein the generated advice relates to relaxation techniques.

3. The system according to claim 1, which analyzes user input information using natural language processing technology.

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