System

Abstract

A system is provided.SOLUTION: This system includes a means for inputting and transmitting a message by using a user terminal, a means for receiving the message from the user terminal and transmitting it to a generation system artificial intelligence by a server, a means for analyzing the message received by the generation system artificial intelligence and generating advice based on a database supervised by an expert, and a means for receiving the advice from the generation system artificial intelligence by the server and transmitting it to the user terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Working women (in their 20s to 50s) have a variety of worries and challenges related to their careers and families, but they often face the problem of not having a suitable person to talk to or not having the time to do so. In such situations, the psychological and time hurdles are high, and there is a need for an environment where they can easily seek advice. In addition, there is a need for a system that can be used with peace of mind by providing reliable advice while ensuring privacy. [Means for solving the problem]

[0005] In order to solve the above-mentioned problems, the present invention provides a system including a means for inputting and sending a message using a user terminal, a means for a server to receive the message from the user terminal and send it to a generative artificial intelligence, a means for the generative artificial intelligence to analyze the received message and generate advice based on a database supervised by experts, and a means for the server to receive advice from the generative artificial intelligence and send it to the user terminal. Furthermore, the server includes a means for encrypting communication data and protecting the user's personal information, allowing the user to receive reliable advice while ensuring privacy.

[0006] A "user terminal" is a device used by a user to input and send messages, and generally includes a smartphone, tablet, or PC.

[0007] A "server" is a computer system that acts as an intermediary, receiving messages from user terminals via a network, sending them to the generative artificial intelligence, and also receiving advice from the generative artificial intelligence and sending it to the user terminals.

[0008] "Generative AI" is a machine learning algorithm that analyzes input messages and generates appropriate advice based on an expert-curated database.

[0009] An "expert-supervised database" is a collection of information that stores reliable information that has been evaluated and approved by specific experts and serves as the basis for generative artificial intelligence to generate advice.

[0010] "Advice" is information about appropriate responses or solutions that is generated in response to the user's message.

[0011] "Encrypting communication data" is a technical measure that prevents unauthorized access by third parties by converting data exchanged between the user and the server into cryptographic code.

[0012] "Protecting personal information" means taking appropriate steps to ensure user privacy and protecting user identification information and message content. [Brief explanation of the drawings]

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

[0014] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

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

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

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

[0019] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0021] [First embodiment]

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

[0023] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

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

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

[0026] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

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

[0028] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0030] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

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

[0032] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

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

[0034] The present invention is an online consultation system for working women to solve career and family worries, and is configured as follows.

[0035] 1. Entering and sending messages using a user terminal

[0036] The user uses the LINE app

[0037] First, users launch the LINE app on their smartphone, tablet, or other device, then open the service's official account, enter their concerns or questions as a text message, and send it.

[0038] As a specific example, the user inputs the following message:

[0039] "I've been feeling stressed at work lately. How can I relax?"

[0040] 2. The server receives the message and sends it to the generative AI.

[0041] The server uses the LINE API

[0042] Messages sent by users are forwarded to the server via the LINE API. The server receives the message and starts processing in the backend. The server then sends the received message to the API endpoint of the generative artificial intelligence (ChatGPT (registered trademark)).

[0043] 3. Generative AI analyzes the received message and generates advice

[0044] Analysis of generative artificial intelligence and advice generation

[0045] The generative artificial intelligence receives the message sent from the server and generates appropriate advice by referring to a database supervised by experts.

[0046] As a concrete example, generative artificial intelligence generates advice such as the following:

[0047] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0048] 4. The server receives advice from the generative AI and sends it to the user's device.

[0049] The server sends the advice via the LINE API

[0050] The server receives the advice returned by the generative AI and sends it back to the user's LINE app. To do this, the server uses the LINE API to deliver the advice to the user in an appropriate format.

[0051] As a concrete example, a user receives the following message on the LINE app.

[0052] Server: "To relieve stress, try light exercise, a relaxing hobby, deep breathing, or meditation. It's also important to take regular breaks."

[0053] 5. Privacy Protection

[0054] Server-based data protection

[0055] All communication data is encrypted by the server. This protects communication between the user and the server from unauthorized access by third parties. The server also protects the user's personal information and promptly deletes the data if it is no longer needed.

[0056] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, so users can easily use it anytime, anywhere. This feature significantly reduces psychological and time hurdles and supports women's advancement in society.

[0057] The processing flow will be explained below.

[0058] Step 1:

[0059] The user opens the LINE app

[0060] Users launch the LINE app on their smartphone or other device, select the service's official account, open the chat screen, and enter the details of their inquiry.

[0061] Step 2:

[0062] A user sends a message

[0063] The user presses the send button to send the consultation content they have entered. For example, they might enter, "I've been feeling stressed at work lately. How can I relax?"

[0064] Step 3:

[0065] The server receives the message via the LINE API

[0066] The server uses the LINE API to receive a message from the user, which contains the user ID and the text sent.

[0067] Step 4:

[0068] The server sends the message to the generative AI.

[0069] The server analyzes the received message, extracts the necessary information, and then sends it as a request to the API endpoint of the generative artificial intelligence (ChatGPT).

[0070] Step 5:

[0071] Generative AI analyzes messages and generates advice

[0072] The generative AI analyzes the received message and generates appropriate advice by referring to a database of experts. This advice is then sent back to the server.

[0073] Step 6:

[0074] The server receives advice from the generative artificial intelligence

[0075] The server receives advice returned from the generative artificial intelligence, which is formatted for transmission to the user.

[0076] Step 7:

[0077] The server sends the advice to the user via the LINE API.

[0078] The server sends the advice received from the generative AI to the user's LINE app via the LINE API. The server uses encrypted communications to protect the user's personal information.

[0079] Step 8:

[0080] User receives advice

[0081] The user receives advice from the server on the LINE app. For example, they may receive a message such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It's also important to take appropriate breaks."

[0082] Step 9:

[0083] The server encrypts and protects communication data.

[0084] The server encrypts all communications with the user to protect the user's personal information from unauthorized access, and if necessary, the data is promptly deleted.

[0085] Example 1

[0086] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0087] Today's working women often have many worries about their careers and family. However, there are few systems that allow them to easily discuss these concerns regardless of time or place, and the psychological barrier to consultation is high. For this reason, there is a need to provide an online system that users can consult with in peace of mind. Furthermore, protecting users' privacy and data is also an important issue.

[0088] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0089] In this invention, the server includes means for a user to input and send consultation details using a communication device, means for the server to receive messages from the user and format and forward them to the generative AI, means for the generative AI to analyze the received messages and generate advice based on a database supervised by experts, and means for the server to receive advice from the generative AI and resend it to the user's communication device. This provides an environment where working women can easily and safely seek advice online about career and family concerns, and makes it possible to protect users' personal information and communication data.

[0090] A "user" is an individual who uses the communication system to input and transmit consultation content.

[0091] A "communication device" is a smartphone, tablet, or other electronic device that a user uses to type and send messages.

[0092] A "server" is a computing device whose role is to receive and process messages sent by users and forward them to the generative AI.

[0093] "Generative AI" is an AI model that analyzes messages sent from the server and generates appropriate advice.

[0094] The "database" stores information supervised by experts and is a source of information that the generative artificial intelligence uses as a reference when generating advice.

[0095] A "message" is text data that a user inputs using a communication device and sends to a server.

[0096] "Advice" is a solution or suggestion generated by generative artificial intelligence based on the user's message.

[0097] "Formatting" is the process of shaping the received message into an appropriate format and structure before forwarding it to the generative artificial intelligence.

[0098] "Communication data" refers to all digital information exchanged between a user and a server, or between a server and a generative artificial intelligence.

[0099] The present invention is an online consultation system for working women to solve career and family worries, and is configured as follows.

[0100] Overall system overview

[0101] This system is built around a series of processes in which users input and send their consultation details as text messages using communication devices such as smartphones or tablets. The sent messages are received by a server and forwarded to a generative AI. The generative AI then generates advice based on the messages, which is then returned to the user via the server.

[0102] Hardware and Software Examples

[0103] Communication device: A smartphone or tablet is used, allowing users to input and send messages using apps such as LINE.

[0104] Server: Receives messages and forwards them to the generative AI. Messages are handed over using the LINE API.

[0105] Generative AI: Generative AI models such as ChatGPT are used to analyze messages from the server and generate advice.

[0106] Operation details and examples

[0107] The user enters and sends a message

[0108] Users launch the LINE app on their smartphone or tablet, open the official account, and then enter and send the details of their inquiry as a text message.

[0109] As a specific example, the user inputs the following message:

[0110] "I've been feeling stressed at work lately. How can I relax?"

[0111] The server receives the message and forwards it to the generative AI.

[0112] The server receives messages sent by users through the LINE API, formats them into an appropriate format, and sends them to the API endpoint of the generative artificial intelligence (ChatGPT).

[0113] Generative AI analyzes messages and generates advice

[0114] The generative AI receives the message sent from the server, references a database supervised by experts, and generates appropriate advice. For example, it generates advice like the following:

[0115] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0116] The server receives advice from the generative AI and sends it to the user's device.

[0117] The server receives the advice returned by the generative AI and uses the LINE API to send the properly formatted advice back to the user's LINE app.

[0118] As a specific example, a user receives the following message on the LINE app.

[0119] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0120] Privacy and Data Protection

[0121] The server encrypts all communication data to protect communication between users and the server from unauthorized access by third parties. It also has the function to protect personal information and to promptly delete data when it is no longer needed.

[0122] This system provides an environment where working women can feel safe to consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, making it easy for users to use anytime, anywhere. By significantly reducing psychological and time hurdles, this system will support women's advancement in society.

[0123] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0124] Step 1:

[0125] The user enters and submits the consultation content

[0126] Users launch the LINE app on their smartphone or tablet, select the service's official account, enter the details of their inquiry as a text message, and tap the send button.

[0127] Input: The text message that the user types into the LINE app.

[0128] Output: Message about the consultation sent to the server via the LINE API

[0129] Example: A user sends, "I've been feeling stressed at work lately. How can I relax?"

[0130] Step 2:

[0131] The server receives the message and forwards it to the generative AI.

[0132] The server receives messages from users through the LINE API, formats them, and forwards them to the API endpoint of the generative AI.

[0133] Input: Message of consultation received from LINE API

[0134] Output: Forward formatted messages to the generative AI

[0135] Example: A server receives a message saying, "I've been feeling stressed at work lately. How can I relax?" and forwards it to a generative artificial intelligence.

[0136] Step 3:

[0137] Generative AI analyzes messages and generates advice

[0138] The generative AI receives messages sent from the server, analyzes them, and generates appropriate advice by referring to a database compiled by experts.

[0139] Input: Message of consultation transferred from the server

[0140] Output: The generated advice

[0141] Example: Generative AI analyzes the content of the consultation and generates advice such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks."

[0142] Step 4:

[0143] The server receives advice from the generative AI and sends it to the user's device.

[0144] The server receives the advice returned by the generative AI, formats it into an appropriate format, and sends it back to the user's device via the LINE API.

[0145] Input: Advice returned from the generative AI

[0146] Output: Advice message sent to the user's LINE app

[0147] Example: The server receives advice from a generative AI, such as "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks." and sends this advice to the user's LINE app.

[0148] Step 5:

[0149] Privacy and Data Protection

[0150] The server encrypts all messages and advice from users to protect communication data from unauthorized access by third parties. In addition, unnecessary data is promptly deleted to protect users' personal information.

[0151] Input: Message from user and advice from generative AI

[0152] Output: Encrypted communication data and protected personal information

[0153] Example: The server encrypts messages from users and advice from generative AI, and periodically deletes unnecessary data.

[0154] (Application example 1)

[0155] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0156] There is no online consultation system that can quickly and effectively resolve the problems that store staff face in their daily work and concerns about customer service, and there is a need for a way to reduce store staff stress and improve customer satisfaction.

[0157] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0158] In this invention, the server includes a means for inputting and sending messages using a user terminal, a means for the server to receive messages from the user terminal and send them to a generative artificial intelligence, a means for the generative artificial intelligence to analyze the received messages and generate advice based on a database supervised by experts, and a means for providing online consultation on concerns and questions related to work at the brick-and-mortar store, the user terminal being used by staff at the brick-and-mortar store. This enables staff at the brick-and-mortar store to quickly and effectively solve work problems and improve the quality of customer service.

[0159] A "user terminal" is a communication device used by staff to input and send messages.

[0160] A "server" is a communication control device that receives messages from user terminals and sends them to the generative artificial intelligence.

[0161] "Generative AI" is a program that analyzes received messages and generates advice based on an expert-supervised database.

[0162] An "expert-supervised database" is a collection of information that brings together the knowledge and know-how of experts.

[0163] "Advice" refers to advice or suggestions created by generative artificial intelligence based on the results of analysis.

[0164] A "physical store" is a store that provides goods and services directly to customers.

[0165] "Store staff" refers to employees who work in a store.

[0166] An "online consultation system" is a system for providing consultation and advice via the Internet.

[0167] "Encryption of communication data" is a technology that prevents data from being illegally obtained by third parties.

[0168] "Protection of personal information" means the appropriate management of personal data to protect the privacy of users.

[0169] This invention is an online consultation system that enables store staff to quickly and effectively resolve operational problems and customer service concerns. The elements and procedures required to implement this invention are described in detail below.

[0170] The server system uses the following hardware and software. First, a smartphone is used as the user terminal. Staff use a communication application installed on the smartphone to input and send the consultation details as a message. This communication application uses a commonly used messaging service (e.g., LINE).

[0171] The server receives data from the user's device via a communication API to receive messages. At this point, the server protects the data using encryption technology. Using the messaging service's API, the server retrieves the sent message and sends it to the generative AI (ChatGPT) API endpoint for analysis. The generative AI then refers to an expert-curated database to analyze the received message and generate appropriate advice.

[0172] The server then sends the advice received from the generative AI back to the user's device, using a communication API to display the advice in a format compatible with the user's device. All communication processes are encrypted to protect the user's privacy and personal information.

[0173] To give a concrete example, if a staff member at a brick-and-mortar store sends a message saying, "A customer has made a complaint. How should we respond?", that message is sent via the server to the generative AI, which then generates the following advice:

[0174] "First, listen carefully to understand what the customer is saying. Then propose a solution and, if necessary, speak to your manager. It's also a good idea to offer an apology along with a gift."

[0175] This advice is sent via the server to the staff member's smartphone, and the staff member can take appropriate action based on this advice to quickly and appropriately resolve the problem.

[0176] The above technical methods enable the collaboration of the server, user terminals, and generative artificial intelligence to realize an effective online consultation system, which helps staff quickly solve business problems and improves the quality of customer service.

[0177] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0178] Step 1:

[0179] A user uses a communication application on their smartphone to input a message about a concern they have about the store's operations or a question about customer service, and sends it to the server. The input message is specific, such as "A customer has complained. How should we respond?" The server receives this message.

[0180] Step 2:

[0181] The server encrypts the received message, thereby protecting the communication data. The encrypted message is sent to the API endpoint of the generative AI (ChatGPT). The input data is the encrypted message, and the output data is the message content before it is analyzed by the generative AI.

[0182] Step 3:

[0183] Generative AI analyzes the received message and generates appropriate advice by referring to a database supervised by experts. For example, generative AI generates advice such as, "First, listen carefully to the customer and understand what they are saying. Then, propose a solution and, if necessary, consult with your supervisor. It would also be a good idea to offer an apology along with a gift." The input data is the user's message, and the output data is the generated advice.

[0184] Step 4:

[0185] The server receives the advice returned from the generative AI. The advice content is also encrypted. The server decrypts this encrypted advice and sends it to the user's smartphone. The input data is the generated advice, and the output data is the decrypted advice displayed to the user in an appropriate format.

[0186] Step 5:

[0187] The user checks the advice sent from the server through a communication application on their smartphone. Based on this advice, the user can take specific actions to resolve the problem at the physical store. For example, they can respond appropriately to a customer who has filed a complaint. This makes it possible to resolve the problem quickly and effectively.

[0188] As described above, this system effectively solves operational and customer service problems in brick-and-mortar stores through a series of steps: the user inputs a message, the generative AI generates appropriate advice, and the server returns that advice to the user.

[0189] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0190] The present invention is an online consultation system for working women to solve career and family worries, and is particularly configured to incorporate an emotion engine. The following is a specific embodiment of the present invention.

[0191] 1. Entering and sending messages using a user terminal

[0192] The user uses the LINE app

[0193] First, users launch the LINE app on their smartphone, tablet, or other device and open the service's official account. After opening the chat screen, users can enter their inquiry details as a text message and send it.

[0194] As a specific example, the user inputs the following message:

[0195] "I've been feeling stressed at work lately. How can I relax?"

[0196] 2. The server receives the message and sends it to the generative AI and emotion engine.

[0197] The server uses the LINE API

[0198] Messages sent by users are forwarded to the server via the LINE API. The server receives the message and starts processing it in the backend. The server then sends the received message as a request to the API endpoint of the generative AI (ChatGPT) and emotion engine.

[0199] 3. Emotion engine analyzes user emotions

[0200] The server uses the emotion engine

[0201] The emotion engine receives messages sent from the server and recognizes the user's emotions. For example, it analyzes the input string to identify emotions such as "stress," "anxiety," and "anger." The emotion engine provides the analysis results to the generative AI.

[0202] 4. Generative AI generates advice based on received messages and emotional data

[0203] Analysis of generative artificial intelligence and advice generation

[0204] The generative AI analyzes the message sent from the server and the recognized emotion data, and generates appropriate advice based on the user's emotion by referring to a database compiled by experts.

[0205] As a concrete example, generative artificial intelligence generates advice such as the following:

[0206] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0207] 5. The server receives advice from the generative AI and sends it to the user's device.

[0208] The server sends the advice via the LINE API

[0209] The server receives the advice returned by the generative AI and sends it back to the user's LINE app. To do this, the server uses the LINE API to deliver the advice to the user in an appropriate format.

[0210] As a concrete example, a user receives the following message on the LINE app.

[0211] Server: "To relieve stress, try light exercise, a relaxing hobby, deep breathing, or meditation. It's also important to take regular breaks."

[0212] 6. Privacy Protection

[0213] Server-based data protection

[0214] All communication data is encrypted by the server. This protects communication between the user and the server from unauthorized access by third parties. The server also protects the user's personal information and promptly deletes the data if it is no longer needed.

[0215] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, so users can easily use it anytime, anywhere. This feature significantly reduces psychological and time hurdles and supports women's advancement in society. The introduction of an emotion engine enables more appropriate advice that is tailored to the user.

[0216] The processing flow will be explained below.

[0217] Step 1:

[0218] The user opens the LINE app

[0219] Users launch the LINE app on their smartphone or other device and select the official account of the consultation service.

[0220] Step 2:

[0221] The user types a message

[0222] Users can enter their concerns or questions in text format on the chat screen. For example, they might enter, "I've been feeling stressed at work lately. How can I relax?"

[0223] Step 3:

[0224] A user sends a message

[0225] The user presses the send button to send the message he or she has entered.

[0226] Step 4:

[0227] The server receives the message via the LINE API

[0228] The server uses the LINE API to receive a message from the user, which contains the user ID and the text sent.

[0229] Step 5:

[0230] The server sends the message to the emotion engine

[0231] The server sends the received message to the emotion engine, which analyzes the user's emotions from the content of the message. For example, from the part "I'm feeling stressed," it extracts emotions such as "stress," "anxiety," and "fatigue."

[0232] Step 6:

[0233] Emotion engine provides emotional data to generative AI

[0234] The emotion engine extracts emotion data from the message and provides it to the generative AI. For example, if the emotion data is "stress 80%, anxiety 15%, fatigue 5%, this is passed to the generative AI.

[0235] Step 7:

[0236] The server sends the message and emotion data to the generative AI.

[0237] The server sends the analyzed emotion data and the original message to the generative AI (ChatGPT), which receives this data and begins analyzing it.

[0238] Step 8:

[0239] Generative AI generates advice

[0240] Based on the message and emotional data, the generative AI will refer to a database of experts to generate appropriate advice. For example, it might generate advice such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It's also important to take appropriate breaks."

[0241] Step 9:

[0242] The server receives advice from the generative artificial intelligence

[0243] The server receives the advice returned by the generative AI and sends it back to the user's LINE app.

[0244] Step 10:

[0245] The server sends the advice to the user via the LINE API.

[0246] The server uses the LINE API to send the generated advice to the user's LINE app.

[0247] Step 11:

[0248] User receives advice

[0249] The user receives advice messages from the server on the LINE app. For example, they may receive a message such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks."

[0250] Step 12:

[0251] The server encrypts and protects communication data.

[0252] The server encrypts all communications with the user to protect the user's personal information from unauthorized access, and if necessary, the data is promptly deleted.

[0253] Example 2

[0254] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0255] In modern society, working women often experience stress and worries due to balancing work and family life. Therefore, it is important for them to receive advice at the right time that is appropriate to their emotions and situation. However, conventional systems have difficulty accurately analyzing users' emotions and providing appropriate advice based on that analysis. To solve this problem, a system incorporating emotion recognition is needed.

[0256] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting and sending a message using a user terminal, means for the server to receive a message from the user terminal and send it to the emotion recognition engine and the generative artificial intelligence, means for the emotion recognition engine to analyze the received message, extract emotion data, and provide it to the generative artificial intelligence, means for the generative artificial intelligence to analyze the received message and emotion data and generate advice based on a database supervised by experts, and means for the server to receive advice from the generative artificial intelligence and send it to the user terminal. This makes it possible to quickly and accurately provide appropriate advice according to the user's emotions and situation.

[0257] A "user terminal" is an information device used by a user to input and send messages, and specifically is a mobile device such as a smartphone or tablet.

[0258] A "server" is a central processing unit that receives messages sent from user terminals and performs appropriate processing.

[0259] An "emotion recognition engine" is a program or algorithm that analyzes the content of received messages and identifies the user's emotions.

[0260] "Generative AI" is an AI system that analyzes received messages and emotional data and generates advice based on a database supervised by experts.

[0261] An "expert-curated database" is a knowledge base created and maintained by a person or organization with expertise in a particular field, and is a source of information that is consulted when generating advice.

[0262] "Emotion data" is information about a user's emotions extracted from a message analyzed by an emotion recognition engine.

[0263] This invention is an online consultation system for working women to solve career and family problems. In particular, it combines an emotion recognition engine and generative artificial intelligence, and can provide advice that adapts to the user's emotions.

[0264] This system uses the following hardware and software:

[0265] Use of user terminals

[0266] Users launch the LINE app on their device, such as a smartphone or tablet. They then open the service's official account through the LINE app, enter the details of their inquiry as a text message, and send it. Specifically, the following messages may be entered:

[0267] "I've been feeling stressed at work lately. How can I relax?"

[0268] Receiving and forwarding messages by the server

[0269] The server receives messages sent by users via the LINE API. The received messages are sent to the emotion recognition engine and generative AI. The LINE API is an interface for exchanging messages.

[0270] Emotion analysis using an emotion recognition engine

[0271] The server analyzes the message using an emotion recognition engine to identify the user's emotion. The emotion recognition engine extracts emotion data such as "stress," "anxiety," and "anger" from the message content. For example, "stress" or "anxiety" may be detected from the input string.

[0272] Advice generation using generative artificial intelligence

[0273] The server sends the emotion data received from the emotion recognition engine and the user's message to the generative AI. The generative AI analyzes the emotion data and the consultation content, and generates appropriate advice by referring to a database supervised by experts. Specifically, the following advice may be generated:

[0274] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0275] Server sends advice

[0276] The server receives the advice returned by the generative AI and sends it back to the user's device. The server uses the LINE API to deliver the advice to the user in an appropriate format. The user can then check the advice sent to them on the LINE app.

[0277] Privacy and Data Management

[0278] The server encrypts all communication data to protect communication with users from unauthorized access by third parties. The server also protects users' personal information and deletes data promptly if necessary.

[0279] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The combination of an emotion recognition engine and generative AI makes it possible to provide users with more considerate advice quickly.

[0280] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0281] Step 1:

[0282] The user launches the LINE app on their device. The user opens the service's official account, enters the content of their inquiry, and presses the send button to send the message. The input is in the form of a text message, and specifically, the following message is entered:

[0283] Type: ["I've been feeling stressed at work lately. How can I relax?"]

[0284] Output: [Query message from user]

[0285] Step 2:

[0286] The server receives messages from users' devices via the LINE API. The received messages are analyzed within the server and then sent to the emotion recognition engine and generative AI.

[0287] Input: [User inquiry message]

[0288] Output: [Message sent to emotion recognition engine and generative AI]

[0289] Step 3:

[0290] The server sends a message to the emotion recognition engine. The emotion recognition engine analyzes the received message and identifies the user's emotion. The identified emotion is extracted as specific emotion data such as "stress" or "anxiety."

[0291] Input: [User inquiry message sent from the server]

[0292] Output: [Emotion data extracted by the emotion recognition engine]

[0293] Step 4:

[0294] The emotion data sent from the emotion recognition engine is received by the server and then sent to the generative AI, which comprehensively analyzes the emotion data and the original message and generates appropriate advice by referring to a database supervised by experts.

[0295] Input: [emotion data from emotion recognition engine, user query message]

[0296] Output: [Advice generated by generative artificial intelligence]

[0297] Step 5:

[0298] The server receives advice generated by the generative AI and sends it to the user's device via the LINE API.

[0299] Input: [Advice from generative artificial intelligence]

[0300] Output: [Advice message sent to user's terminal]

[0301] Step 6:

[0302] The user's device will display the advice received from the LINE API. Specifically, the following message will be displayed:

[0303] Input: [Advice message sent from server]

[0304] Output: ["Light exercise, relaxing hobbies, deep breathing, and meditation can all help relieve stress. It's also important to take regular breaks."]

[0305] In this way, the entire system is completed, and appropriate advice is provided through emotion recognition and generative artificial intelligence during the process of users discussing their concerns.

[0306] (Application example 2)

[0307] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0308] In recent years, there has been an increasing demand for online mental health care services as a way for working women to alleviate career and family worries. However, existing systems lack the functionality to provide appropriate advice and content that responds to the user's emotions and situation, resulting in a poor user experience. Furthermore, systems with emotion analysis capabilities are rare, making it difficult to automatically suggest specific responses to specific emotions such as stress, anxiety, and joy. Therefore, there is a need to resolve these issues and provide appropriate media content that responds to the user's emotions.

[0309] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting and sending a message using a user terminal, means for the server to receive a message from the user terminal and send it to the emotion engine, means for the emotion engine to analyze the message and generate emotion data, means for the server to send the generated emotion data to the generative artificial intelligence, means for the generative artificial intelligence to analyze the received message and emotion data and generate appropriate media content, and means for the server to receive content from the generative artificial intelligence and send it to the user terminal. This makes it possible to provide appropriate advice and media content according to the user's emotions and situation.

[0310] Definition of Terms

[0311] "User terminal" refers to a device for inputting and sending messages, including smartphones, tablets, smart glasses, etc.

[0312] The "server" is a central computer system that receives messages from user terminals and transmits them to the emotion engine and generative artificial intelligence.

[0313] An "emotion engine" is software or hardware that analyzes received messages, identifies a user's emotions (e.g., stress, anxiety, joy, etc.), and generates emotion data.

[0314] "Generative AI" refers to an AI model that analyzes received messages and emotional data and generates appropriate advice and media content.

[0315] "Content" refers to advice and media information (e.g., music, videos, articles, etc.) generated by generative artificial intelligence and sent to the user's device.

[0316] A "message" is a text or voice message that a user inputs using a user terminal and sends to a server.

[0317] "Emotion data" is data that represents the emotional state of the user, as determined by the emotion engine analyzing the message.

[0318] MODE FOR CARRYING OUT THE INVENTION

[0319] This invention is an online consultation system that combines an emotion engine to help working women solve their career and family worries, and in particular operates as a media content recommendation system.

[0320] Overview of the embodiment

[0321] This system consists of a user terminal, a server, an emotion engine, and generative AI. The specific operation of each component is explained below.

[0322] Input and send messages using user terminals

[0323] A user uses a user device such as a smartphone or smart glasses to input and send a message. For example, a user starts an application on their smartphone and inputs the following:

[0324] "I've been feeling stressed at work lately. How can I relax?"

[0325] Server receives message and sends it to emotion engine

[0326] The server receives the message sent from the user terminal, and the received message is sent to the emotion engine for analysis.

[0327] Analyzing user emotions with an emotion engine

[0328] An emotion engine (e.g., IBM Watson®) analyzes the received message and identifies the user's emotion. For example, the emotion engine detects "stress" and provides the analysis results to the generative artificial intelligence.

[0329] Content generation using generative artificial intelligence

[0330] A generative artificial intelligence (e.g., OpenAI® GPT-4®) generates optimal media content based on the emotion data received from the emotion engine and the user's message. For example, it uses prompts such as:

[0331] "The user is feeling stressed. Can you suggest some media content that will help them relax? Please provide a specific list and your reasons."

[0332] This allows the generative AI to suggest relaxing music playlists and inspirational articles.

[0333] Content provided by the server

[0334] The server receives the generated media content and sends it to the user's terminal, where the user can access the proposed content on their smartphone or smart glasses.

[0335] Privacy Protection

[0336] All communications are encrypted using SSL / TLS. In addition, users' personal information is stored in a secure database and data that is no longer needed is promptly deleted.

[0337] Specific examples

[0338] The user enters the following message into the application:

[0339] "I've had trouble sleeping lately, so I want to relax."

[0340] The server performs emotion analysis and identifies the emotion as "anxiety." After that, the generative AI provides the user with relaxing music and advice on regulating the autonomic nervous system.

[0341] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0342] Program processing steps

[0343] Step 1:

[0344] A user inputs and sends a message using a user terminal.

[0345] Input: The user inputs a "message" using a smartphone or smart glasses.

[0346] Output: The entered message is sent to the server via the LINE app or a dedicated app.

[0347] Specific operation: Open the app screen and enter the following:

[0348] "I've been feeling stressed at work lately. How can I relax?"

[0349] Step 2:

[0350] The server receives the message from the user terminal.

[0351] Input: A "message" sent from the user terminal arrives at the server.

[0352] Output: The received message is added to a processing queue in the server, ready to be sent to the emotion engine.

[0353] Specific behavior: The server receives the message using the LINE API and starts processing in the backend.

[0354] Step 3:

[0355] The server sends the message to the emotion engine for analysis.

[0356] Input: The "message" received by the server.

[0357] Output: "Emotion data" analyzed by the emotion engine.

[0358] What it does: Sends a message to an emotion engine (e.g., IBM Watson) to identify emotions such as stress, anxiety, or joy.

[0359] Step 4:

[0360] The emotion engine recognizes the user's emotions and generates emotion data.

[0361] Input: The "message" sent by the server.

[0362] Output: "Emotion data" as the analysis result.

[0363] What it does: The emotion engine performs text analysis to extract emotions such as "stress."

[0364] Step 5:

[0365] The server transmits the generated emotion data to the generative artificial intelligence.

[0366] Input: "Emotion data" received from the emotion engine.

[0367] Output: Emotion data and the original message are sent to the generative AI.

[0368] Specific operation: Send a request containing emotion data to a generative artificial intelligence (e.g., OpenAI GPT-4).

[0369] Step 6:

[0370] Generative AI analyzes the received message and emotional data and generates appropriate media content.

[0371] Input: Emotion data and original "message".

[0372] Output: The "media content" that best suits the user.

[0373] Specific operation: The generative AI analyzes and generates using the following prompt sentence:

[0374] "The user is feeling stressed. Can you suggest some media content that will help them relax? Please provide a specific list and your reasons."

[0375] Generated content includes relaxing music, videos, articles, and more.

[0376] Step 7:

[0377] The server receives content from the generative artificial intelligence and transmits it to the user's terminal.

[0378] Input: "Media content" received from a generative artificial intelligence.

[0379] Output: The "content" that is sent to the user's device.

[0380] Specific operation: The server sends the content to the user's device and displays it via the LINE API or a dedicated app.

[0381] Step 8:

[0382] The user checks the results on the user terminal.

[0383] Input: The "media content" received from the server.

[0384] Output: User viewing and consuming content.

[0385] What happens: The user views content displayed in an app or smart glasses and engages in relaxation and stress management techniques.

[0386] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0387] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0388] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0389] [Second embodiment]

[0390] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0391] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0392] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0393] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0394] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0395] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0396] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0397] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0398] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0399] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0400] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0401] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0402] The present invention is an online consultation system for working women to solve career and family worries, and is configured as follows.

[0403] 1. Entering and sending messages using a user terminal

[0404] The user uses the LINE app

[0405] First, users launch the LINE app on their smartphone, tablet, or other device, then open the service's official account, enter their concerns or questions as a text message, and send it.

[0406] As a specific example, the user inputs the following message:

[0407] "I've been feeling stressed at work lately. How can I relax?"

[0408] 2. The server receives the message and sends it to the generative AI.

[0409] The server uses the LINE API

[0410] Messages sent by users are forwarded to the server via the LINE API. The server receives the message and starts processing it in the backend. The server then sends the received message to the API endpoint of the generative artificial intelligence (ChatGPT).

[0411] 3. Generative AI analyzes the received message and generates advice

[0412] Analysis of generative artificial intelligence and advice generation

[0413] The generative artificial intelligence receives the message sent from the server and generates appropriate advice by referring to a database supervised by experts.

[0414] As a concrete example, generative artificial intelligence generates advice such as the following:

[0415] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0416] 4. The server receives advice from the generative AI and sends it to the user's device.

[0417] The server sends the advice via the LINE API

[0418] The server receives the advice returned by the generative AI and sends it back to the user's LINE app. To do this, the server uses the LINE API to deliver the advice to the user in an appropriate format.

[0419] As a concrete example, a user receives the following message on the LINE app.

[0420] Server: "To relieve stress, try light exercise, a relaxing hobby, deep breathing, or meditation. It's also important to take regular breaks."

[0421] 5. Privacy Protection

[0422] Server-based data protection

[0423] All communication data is encrypted by the server. This protects communication between the user and the server from unauthorized access by third parties. The server also protects the user's personal information and promptly deletes the data if it is no longer needed.

[0424] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, so users can easily use it anytime, anywhere. This feature significantly reduces psychological and time hurdles and supports women's advancement in society.

[0425] The processing flow will be explained below.

[0426] Step 1:

[0427] The user opens the LINE app

[0428] Users launch the LINE app on their smartphone or other device, select the service's official account, open the chat screen, and enter the details of their inquiry.

[0429] Step 2:

[0430] A user sends a message

[0431] The user presses the send button to send the consultation content they have entered. For example, they might enter, "I've been feeling stressed at work lately. How can I relax?"

[0432] Step 3:

[0433] The server receives the message via the LINE API

[0434] The server uses the LINE API to receive a message from the user, which contains the user ID and the text sent.

[0435] Step 4:

[0436] The server sends the message to the generative AI.

[0437] The server analyzes the received message, extracts the necessary information, and then sends it as a request to the API endpoint of the generative artificial intelligence (ChatGPT).

[0438] Step 5:

[0439] Generative AI analyzes messages and generates advice

[0440] The generative AI analyzes the received message and generates appropriate advice by referring to a database of experts. This advice is then sent back to the server.

[0441] Step 6:

[0442] The server receives advice from the generative artificial intelligence

[0443] The server receives advice returned from the generative artificial intelligence, which is formatted for transmission to the user.

[0444] Step 7:

[0445] The server sends the advice to the user via the LINE API.

[0446] The server sends the advice received from the generative AI to the user's LINE app via the LINE API. The server uses encrypted communications to protect the user's personal information.

[0447] Step 8:

[0448] User receives advice

[0449] The user receives advice from the server on the LINE app. For example, they may receive a message such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It's also important to take appropriate breaks."

[0450] Step 9:

[0451] The server encrypts and protects communication data.

[0452] The server encrypts all communications with the user to protect the user's personal information from unauthorized access, and if necessary, the data is promptly deleted.

[0453] Example 1

[0454] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0455] Today's working women often have many worries about their careers and family. However, there are few systems that allow them to easily discuss these concerns regardless of time or place, and the psychological barrier to consultation is high. For this reason, there is a need to provide an online system that users can consult with in peace of mind. Furthermore, protecting users' privacy and data is also an important issue.

[0456] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0457] In this invention, the server includes means for a user to input and send consultation details using a communication device, means for the server to receive messages from the user and format and forward them to the generative AI, means for the generative AI to analyze the received messages and generate advice based on a database supervised by experts, and means for the server to receive advice from the generative AI and resend it to the user's communication device. This provides an environment where working women can easily and safely seek advice online about career and family concerns, and makes it possible to protect users' personal information and communication data.

[0458] A "user" is an individual who uses the communication system to input and transmit consultation content.

[0459] A "communication device" is a smartphone, tablet, or other electronic device that a user uses to type and send messages.

[0460] A "server" is a computing device whose role is to receive and process messages sent by users and forward them to the generative AI.

[0461] "Generative AI" is an AI model that analyzes messages sent from the server and generates appropriate advice.

[0462] The "database" stores information supervised by experts and is a source of information that the generative artificial intelligence uses as a reference when generating advice.

[0463] A "message" is text data that a user inputs using a communication device and sends to a server.

[0464] "Advice" is a solution or suggestion generated by generative artificial intelligence based on the user's message.

[0465] "Formatting" is the process of shaping the received message into an appropriate format and structure before forwarding it to the generative artificial intelligence.

[0466] "Communication data" refers to all digital information exchanged between a user and a server, or between a server and a generative artificial intelligence.

[0467] The present invention is an online consultation system for working women to solve career and family worries, and is configured as follows.

[0468] Overall system overview

[0469] This system is built around a series of processes in which users input and send their consultation details as text messages using communication devices such as smartphones or tablets. The sent messages are received by a server and forwarded to a generative AI. The generative AI then generates advice based on the messages, which is then returned to the user via the server.

[0470] Hardware and Software Examples

[0471] Communication device: A smartphone or tablet is used, allowing users to input and send messages using apps such as LINE.

[0472] Server: Receives messages and forwards them to the generative AI. Messages are handed over using the LINE API.

[0473] Generative AI: Generative AI models such as ChatGPT are used to analyze messages from the server and generate advice.

[0474] Operation details and examples

[0475] The user enters and sends a message

[0476] Users launch the LINE app on their smartphone or tablet, open the official account, and then enter and send the details of their inquiry as a text message.

[0477] As a specific example, the user inputs the following message:

[0478] "I've been feeling stressed at work lately. How can I relax?"

[0479] The server receives the message and forwards it to the generative AI.

[0480] The server receives messages sent by users through the LINE API, formats them into an appropriate format, and sends them to the API endpoint of the generative artificial intelligence (ChatGPT).

[0481] Generative AI analyzes messages and generates advice

[0482] The generative AI receives the message sent from the server, references a database supervised by experts, and generates appropriate advice. For example, it generates advice like the following:

[0483] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0484] The server receives advice from the generative AI and sends it to the user's device.

[0485] The server receives the advice returned by the generative AI and uses the LINE API to send the properly formatted advice back to the user's LINE app.

[0486] As a specific example, a user receives the following message on the LINE app.

[0487] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0488] Privacy and Data Protection

[0489] The server encrypts all communication data to protect communication between users and the server from unauthorized access by third parties. It also has the function to protect personal information and to promptly delete data when it is no longer needed.

[0490] This system provides an environment where working women can feel safe to consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, making it easy for users to use anytime, anywhere. By significantly reducing psychological and time hurdles, this system will support women's advancement in society.

[0491] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0492] Step 1:

[0493] The user enters and submits the consultation content

[0494] Users launch the LINE app on their smartphone or tablet, select the service's official account, enter the details of their inquiry as a text message, and tap the send button.

[0495] Input: The text message that the user types into the LINE app.

[0496] Output: Message about the consultation sent to the server via the LINE API

[0497] Example: A user sends, "I've been feeling stressed at work lately. How can I relax?"

[0498] Step 2:

[0499] The server receives the message and forwards it to the generative AI.

[0500] The server receives messages from users through the LINE API, formats them, and forwards them to the API endpoint of the generative AI.

[0501] Input: Message of consultation received from LINE API

[0502] Output: Forward formatted messages to the generative AI

[0503] Example: A server receives a message saying, "I've been feeling stressed at work lately. How can I relax?" and forwards it to a generative artificial intelligence.

[0504] Step 3:

[0505] Generative AI analyzes messages and generates advice

[0506] The generative AI receives messages sent from the server, analyzes them, and generates appropriate advice by referring to a database compiled by experts.

[0507] Input: Message of consultation transferred from the server

[0508] Output: The generated advice

[0509] Example: Generative AI analyzes the content of the consultation and generates advice such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks."

[0510] Step 4:

[0511] The server receives advice from the generative AI and sends it to the user's device.

[0512] The server receives the advice returned by the generative AI, formats it into an appropriate format, and sends it back to the user's device via the LINE API.

[0513] Input: Advice returned from the generative AI

[0514] Output: Advice message sent to the user's LINE app

[0515] Example: The server receives advice from a generative AI, such as "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks." and sends this advice to the user's LINE app.

[0516] Step 5:

[0517] Privacy and Data Protection

[0518] The server encrypts all messages and advice from users to protect communication data from unauthorized access by third parties. In addition, unnecessary data is promptly deleted to protect users' personal information.

[0519] Input: Message from user and advice from generative AI

[0520] Output: Encrypted communication data and protected personal information

[0521] Example: The server encrypts messages from users and advice from generative AI, and periodically deletes unnecessary data.

[0522] (Application example 1)

[0523] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0524] There is no online consultation system that can quickly and effectively resolve the problems that store staff face in their daily work and concerns about customer service, and there is a need for a way to reduce store staff stress and improve customer satisfaction.

[0525] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0526] In this invention, the server includes a means for inputting and sending messages using a user terminal, a means for the server to receive messages from the user terminal and send them to a generative artificial intelligence, a means for the generative artificial intelligence to analyze the received messages and generate advice based on a database supervised by experts, and a means for providing online consultation on concerns and questions related to work at the brick-and-mortar store, the user terminal being used by staff at the brick-and-mortar store. This enables staff at the brick-and-mortar store to quickly and effectively solve work problems and improve the quality of customer service.

[0527] A "user terminal" is a communication device used by staff to input and send messages.

[0528] A "server" is a communication control device that receives messages from user terminals and sends them to the generative artificial intelligence.

[0529] "Generative AI" is a program that analyzes received messages and generates advice based on an expert-supervised database.

[0530] An "expert-supervised database" is a collection of information that brings together the knowledge and know-how of experts.

[0531] "Advice" refers to advice or suggestions created by generative artificial intelligence based on the results of analysis.

[0532] A "physical store" is a store that provides goods and services directly to customers.

[0533] "Store staff" refers to employees who work in a store.

[0534] An "online consultation system" is a system for providing consultation and advice via the Internet.

[0535] "Encryption of communication data" is a technology that prevents data from being illegally obtained by third parties.

[0536] "Protection of personal information" means the appropriate management of personal data to protect the privacy of users.

[0537] This invention is an online consultation system that enables store staff to quickly and effectively resolve operational problems and customer service concerns. The elements and procedures required to implement this invention are described in detail below.

[0538] The server system uses the following hardware and software. First, a smartphone is used as the user terminal. Staff use a communication application installed on the smartphone to input and send the consultation details as a message. This communication application uses a commonly used messaging service (e.g., LINE).

[0539] The server receives data from the user's device via a communication API to receive messages. At this point, the server protects the data using encryption technology. Using the messaging service's API, the server retrieves the sent message and sends it to the generative AI (ChatGPT) API endpoint for analysis. The generative AI then refers to an expert-curated database to analyze the received message and generate appropriate advice.

[0540] The server then sends the advice received from the generative AI back to the user's device, using a communication API to display the advice in a format compatible with the user's device. All communication processes are encrypted to protect the user's privacy and personal information.

[0541] To give a concrete example, if a staff member at a brick-and-mortar store sends a message saying, "A customer has made a complaint. How should we respond?", that message is sent via the server to the generative AI, which then generates the following advice:

[0542] "First, listen carefully to understand what the customer is saying. Then propose a solution and, if necessary, speak to your manager. It's also a good idea to offer an apology along with a gift."

[0543] This advice is sent via the server to the staff member's smartphone, and the staff member can take appropriate action based on this advice to quickly and appropriately resolve the problem.

[0544] The above technical methods enable the collaboration of the server, user terminals, and generative artificial intelligence to realize an effective online consultation system, which helps staff quickly solve business problems and improves the quality of customer service.

[0545] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0546] Step 1:

[0547] A user uses a communication application on their smartphone to input a message about a concern they have about the store's operations or a question about customer service, and sends it to the server. The input message is specific, such as "A customer has complained. How should we respond?" The server receives this message.

[0548] Step 2:

[0549] The server encrypts the received message, thereby protecting the communication data. The encrypted message is sent to the API endpoint of the generative AI (ChatGPT). The input data is the encrypted message, and the output data is the message content before it is analyzed by the generative AI.

[0550] Step 3:

[0551] Generative AI analyzes the received message and generates appropriate advice by referring to a database supervised by experts. For example, generative AI generates advice such as, "First, listen carefully to the customer and understand what they are saying. Then, propose a solution and, if necessary, consult with your supervisor. It would also be a good idea to offer an apology along with a gift." The input data is the user's message, and the output data is the generated advice.

[0552] Step 4:

[0553] The server receives the advice returned from the generative AI. The advice content is also encrypted. The server decrypts this encrypted advice and sends it to the user's smartphone. The input data is the generated advice, and the output data is the decrypted advice displayed to the user in an appropriate format.

[0554] Step 5:

[0555] The user checks the advice sent from the server through a communication application on their smartphone. Based on this advice, the user can take specific actions to resolve the problem at the physical store. For example, they can respond appropriately to a customer who has filed a complaint. This makes it possible to resolve the problem quickly and effectively.

[0556] As described above, this system effectively solves operational and customer service problems in brick-and-mortar stores through a series of steps: the user inputs a message, the generative AI generates appropriate advice, and the server returns that advice to the user.

[0557] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0558] The present invention is an online consultation system for working women to solve career and family worries, and is particularly configured to incorporate an emotion engine. The following is a specific embodiment of the present invention.

[0559] 1. Entering and sending messages using a user terminal

[0560] The user uses the LINE app

[0561] First, users launch the LINE app on their smartphone, tablet, or other device and open the service's official account. After opening the chat screen, users can enter their inquiry details as a text message and send it.

[0562] As a specific example, the user inputs the following message:

[0563] "I've been feeling stressed at work lately. How can I relax?"

[0564] 2. The server receives the message and sends it to the generative AI and emotion engine.

[0565] The server uses the LINE API

[0566] Messages sent by users are forwarded to the server via the LINE API. The server receives the message and starts processing it in the backend. The server then sends the received message as a request to the API endpoint of the generative AI (ChatGPT) and emotion engine.

[0567] 3. Emotion engine analyzes user emotions

[0568] The server uses the emotion engine

[0569] The emotion engine receives messages sent from the server and recognizes the user's emotions. For example, it analyzes the input string to identify emotions such as "stress," "anxiety," and "anger." The emotion engine provides the analysis results to the generative AI.

[0570] 4. Generative AI generates advice based on received messages and emotional data

[0571] Analysis of generative artificial intelligence and advice generation

[0572] The generative AI analyzes the message sent from the server and the recognized emotion data, and generates appropriate advice based on the user's emotion by referring to a database compiled by experts.

[0573] As a concrete example, generative artificial intelligence generates advice such as the following:

[0574] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0575] 5. The server receives advice from the generative AI and sends it to the user's device.

[0576] The server sends the advice via the LINE API

[0577] The server receives the advice returned by the generative AI and sends it back to the user's LINE app. To do this, the server uses the LINE API to deliver the advice to the user in an appropriate format.

[0578] As a concrete example, a user receives the following message on the LINE app.

[0579] Server: "To relieve stress, try light exercise, a relaxing hobby, deep breathing, or meditation. It's also important to take regular breaks."

[0580] 6. Privacy Protection

[0581] Server-based data protection

[0582] All communication data is encrypted by the server. This protects communication between the user and the server from unauthorized access by third parties. The server also protects the user's personal information and promptly deletes the data if it is no longer needed.

[0583] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, so users can easily use it anytime, anywhere. This feature significantly reduces psychological and time hurdles and supports women's advancement in society. The introduction of an emotion engine enables more appropriate advice that is tailored to the user.

[0584] The processing flow will be explained below.

[0585] Step 1:

[0586] The user opens the LINE app

[0587] Users launch the LINE app on their smartphone or other device and select the official account of the consultation service.

[0588] Step 2:

[0589] The user types a message

[0590] Users can enter their concerns or questions in text format on the chat screen. For example, they might enter, "I've been feeling stressed at work lately. How can I relax?"

[0591] Step 3:

[0592] A user sends a message

[0593] The user presses the send button to send the message he or she has entered.

[0594] Step 4:

[0595] The server receives the message via the LINE API

[0596] The server uses the LINE API to receive a message from the user, which contains the user ID and the text sent.

[0597] Step 5:

[0598] The server sends the message to the emotion engine

[0599] The server sends the received message to the emotion engine, which analyzes the user's emotions from the content of the message. For example, from the part "I'm feeling stressed," it extracts emotions such as "stress," "anxiety," and "fatigue."

[0600] Step 6:

[0601] Emotion engine provides emotional data to generative AI

[0602] The emotion engine extracts emotion data from the message and provides it to the generative AI. For example, if the emotion data is "stress 80%, anxiety 15%, fatigue 5%, this is passed to the generative AI.

[0603] Step 7:

[0604] The server sends the message and emotion data to the generative AI.

[0605] The server sends the analyzed emotion data and the original message to the generative AI (ChatGPT), which receives this data and begins analyzing it.

[0606] Step 8:

[0607] Generative AI generates advice

[0608] Based on the message and emotional data, the generative AI will refer to a database of experts to generate appropriate advice. For example, it might generate advice such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It's also important to take appropriate breaks."

[0609] Step 9:

[0610] The server receives advice from the generative artificial intelligence

[0611] The server receives the advice returned by the generative AI and sends it back to the user's LINE app.

[0612] Step 10:

[0613] The server sends the advice to the user via the LINE API.

[0614] The server uses the LINE API to send the generated advice to the user's LINE app.

[0615] Step 11:

[0616] User receives advice

[0617] The user receives advice messages from the server on the LINE app. For example, they may receive a message such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks."

[0618] Step 12:

[0619] The server encrypts and protects communication data.

[0620] The server encrypts all communications with the user to protect the user's personal information from unauthorized access, and if necessary, the data is promptly deleted.

[0621] Example 2

[0622] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0623] In modern society, working women often experience stress and worries due to balancing work and family life. Therefore, it is important for them to receive advice at the right time that is appropriate to their emotions and situation. However, conventional systems have difficulty accurately analyzing users' emotions and providing appropriate advice based on that analysis. To solve this problem, a system incorporating emotion recognition is needed.

[0624] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting and sending a message using a user terminal, means for the server to receive a message from the user terminal and send it to the emotion recognition engine and the generative artificial intelligence, means for the emotion recognition engine to analyze the received message, extract emotion data, and provide it to the generative artificial intelligence, means for the generative artificial intelligence to analyze the received message and emotion data and generate advice based on a database supervised by experts, and means for the server to receive advice from the generative artificial intelligence and send it to the user terminal. This makes it possible to quickly and accurately provide appropriate advice according to the user's emotions and situation.

[0625] A "user terminal" is an information device used by a user to input and send messages, and specifically is a mobile device such as a smartphone or tablet.

[0626] A "server" is a central processing unit that receives messages sent from user terminals and performs appropriate processing.

[0627] An "emotion recognition engine" is a program or algorithm that analyzes the content of received messages and identifies the user's emotions.

[0628] "Generative AI" is an AI system that analyzes received messages and emotional data and generates advice based on a database supervised by experts.

[0629] An "expert-curated database" is a knowledge base created and maintained by a person or organization with expertise in a particular field, and is a source of information that is consulted when generating advice.

[0630] "Emotion data" is information about a user's emotions extracted from a message analyzed by an emotion recognition engine.

[0631] This invention is an online consultation system for working women to solve career and family problems. In particular, it combines an emotion recognition engine and generative artificial intelligence, and can provide advice that adapts to the user's emotions.

[0632] This system uses the following hardware and software:

[0633] Use of user terminals

[0634] Users launch the LINE app on their device, such as a smartphone or tablet. They then open the service's official account through the LINE app, enter the details of their inquiry as a text message, and send it. Specifically, the following messages may be entered:

[0635] "I've been feeling stressed at work lately. How can I relax?"

[0636] Receiving and forwarding messages by the server

[0637] The server receives messages sent by users via the LINE API. The received messages are sent to the emotion recognition engine and generative AI. The LINE API is an interface for exchanging messages.

[0638] Emotion analysis using an emotion recognition engine

[0639] The server analyzes the message using an emotion recognition engine to identify the user's emotion. The emotion recognition engine extracts emotion data such as "stress," "anxiety," and "anger" from the message content. For example, "stress" or "anxiety" may be detected from the input string.

[0640] Advice generation using generative artificial intelligence

[0641] The server sends the emotion data received from the emotion recognition engine and the user's message to the generative AI. The generative AI analyzes the emotion data and the consultation content, and generates appropriate advice by referring to a database supervised by experts. Specifically, the following advice may be generated:

[0642] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0643] Server sends advice

[0644] The server receives the advice returned by the generative AI and sends it back to the user's device. The server uses the LINE API to deliver the advice to the user in an appropriate format. The user can then check the advice sent to them on the LINE app.

[0645] Privacy and Data Management

[0646] The server encrypts all communication data to protect communication with users from unauthorized access by third parties. The server also protects users' personal information and deletes data promptly if necessary.

[0647] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The combination of an emotion recognition engine and generative AI makes it possible to provide users with more considerate advice quickly.

[0648] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0649] Step 1:

[0650] The user launches the LINE app on their device. The user opens the service's official account, enters the content of their inquiry, and presses the send button to send the message. The input is in the form of a text message, and specifically, the following message is entered:

[0651] Type: ["I've been feeling stressed at work lately. How can I relax?"]

[0652] Output: [Query message from user]

[0653] Step 2:

[0654] The server receives messages from users' devices via the LINE API. The received messages are analyzed within the server and then sent to the emotion recognition engine and generative AI.

[0655] Input: [User inquiry message]

[0656] Output: [Message sent to emotion recognition engine and generative AI]

[0657] Step 3:

[0658] The server sends a message to the emotion recognition engine. The emotion recognition engine analyzes the received message and identifies the user's emotion. The identified emotion is extracted as specific emotion data such as "stress" or "anxiety."

[0659] Input: [User inquiry message sent from the server]

[0660] Output: [Emotion data extracted by the emotion recognition engine]

[0661] Step 4:

[0662] The emotion data sent from the emotion recognition engine is received by the server and then sent to the generative AI, which comprehensively analyzes the emotion data and the original message and generates appropriate advice by referring to a database supervised by experts.

[0663] Input: [emotion data from emotion recognition engine, user query message]

[0664] Output: [Advice generated by generative artificial intelligence]

[0665] Step 5:

[0666] The server receives advice generated by the generative AI and sends it to the user's device via the LINE API.

[0667] Input: [Advice from generative artificial intelligence]

[0668] Output: [Advice message sent to user's terminal]

[0669] Step 6:

[0670] The user's device will display the advice received from the LINE API. Specifically, the following message will be displayed:

[0671] Input: [Advice message sent from server]

[0672] Output: ["Light exercise, relaxing hobbies, deep breathing, and meditation can all help relieve stress. It's also important to take regular breaks."]

[0673] In this way, the entire system is completed, and appropriate advice is provided through emotion recognition and generative artificial intelligence during the process of users discussing their concerns.

[0674] (Application example 2)

[0675] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0676] In recent years, there has been an increasing demand for online mental health care services as a way for working women to alleviate career and family worries. However, existing systems lack the functionality to provide appropriate advice and content that responds to the user's emotions and situation, resulting in a poor user experience. Furthermore, systems with emotion analysis capabilities are rare, making it difficult to automatically suggest specific responses to specific emotions such as stress, anxiety, and joy. Therefore, there is a need to resolve these issues and provide appropriate media content that responds to the user's emotions.

[0677] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting and sending a message using a user terminal, means for the server to receive a message from the user terminal and send it to the emotion engine, means for the emotion engine to analyze the message and generate emotion data, means for the server to send the generated emotion data to the generative artificial intelligence, means for the generative artificial intelligence to analyze the received message and emotion data and generate appropriate media content, and means for the server to receive content from the generative artificial intelligence and send it to the user terminal. This makes it possible to provide appropriate advice and media content according to the user's emotions and situation.

[0678] Definition of Terms

[0679] "User terminal" refers to a device for inputting and sending messages, including smartphones, tablets, smart glasses, etc.

[0680] The "server" is a central computer system that receives messages from user terminals and transmits them to the emotion engine and generative artificial intelligence.

[0681] An "emotion engine" is software or hardware that analyzes received messages, identifies a user's emotions (e.g., stress, anxiety, joy, etc.), and generates emotion data.

[0682] "Generative AI" refers to an AI model that analyzes received messages and emotional data and generates appropriate advice and media content.

[0683] "Content" refers to advice and media information (e.g., music, videos, articles, etc.) generated by generative artificial intelligence and sent to the user's device.

[0684] A "message" is a text or voice message that a user inputs using a user terminal and sends to a server.

[0685] "Emotion data" is data that represents the emotional state of the user, as determined by the emotion engine analyzing the message.

[0686] MODE FOR CARRYING OUT THE INVENTION

[0687] This invention is an online consultation system that combines an emotion engine to help working women solve their career and family worries, and in particular operates as a media content recommendation system.

[0688] Overview of the embodiment

[0689] This system consists of a user terminal, a server, an emotion engine, and generative AI. The specific operation of each component is explained below.

[0690] Input and send messages using user terminals

[0691] A user uses a user device such as a smartphone or smart glasses to input and send a message. For example, a user starts an application on their smartphone and inputs the following:

[0692] "I've been feeling stressed at work lately. How can I relax?"

[0693] Server receives message and sends it to emotion engine

[0694] The server receives the message sent from the user terminal, and the received message is sent to the emotion engine for analysis.

[0695] Analyzing user emotions with an emotion engine

[0696] The emotion engine (e.g., IBM Watson) analyzes the received message and identifies the user's emotion. For example, the emotion engine detects "stress" and provides the analysis results to the generative artificial intelligence.

[0697] Content generation using generative artificial intelligence

[0698] Generative AI (e.g., OpenAI GPT-4) generates optimal media content based on the emotional data received from the emotion engine and the user's message, for example, using the following prompt:

[0699] "The user is feeling stressed. Can you suggest some media content that will help them relax? Please provide a specific list and your reasons."

[0700] This allows the generative AI to suggest relaxing music playlists and inspirational articles.

[0701] Content provided by the server

[0702] The server receives the generated media content and sends it to the user's terminal, where the user can access the proposed content on their smartphone or smart glasses.

[0703] Privacy Protection

[0704] All communications are encrypted using SSL / TLS. In addition, users' personal information is stored in a secure database and data that is no longer needed is promptly deleted.

[0705] Specific examples

[0706] The user enters the following message into the application:

[0707] "I've had trouble sleeping lately, so I want to relax."

[0708] The server performs emotion analysis and identifies the emotion as "anxiety." After that, the generative AI provides the user with relaxing music and advice on regulating the autonomic nervous system.

[0709] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0710] Program processing steps

[0711] Step 1:

[0712] A user inputs and sends a message using a user terminal.

[0713] Input: The user inputs a "message" using a smartphone or smart glasses.

[0714] Output: The entered message is sent to the server via the LINE app or a dedicated app.

[0715] Specific operation: Open the app screen and enter the following:

[0716] "I've been feeling stressed at work lately. How can I relax?"

[0717] Step 2:

[0718] The server receives the message from the user terminal.

[0719] Input: A "message" sent from the user terminal arrives at the server.

[0720] Output: The received message is added to a processing queue in the server, ready to be sent to the emotion engine.

[0721] Specific behavior: The server receives the message using the LINE API and starts processing in the backend.

[0722] Step 3:

[0723] The server sends the message to the emotion engine for analysis.

[0724] Input: The "message" received by the server.

[0725] Output: "Emotion data" analyzed by the emotion engine.

[0726] What it does: Sends a message to an emotion engine (e.g., IBM Watson) to identify emotions such as stress, anxiety, or joy.

[0727] Step 4:

[0728] The emotion engine recognizes the user's emotions and generates emotion data.

[0729] Input: The "message" sent by the server.

[0730] Output: "Emotion data" as the analysis result.

[0731] What it does: The emotion engine performs text analysis to extract emotions such as "stress."

[0732] Step 5:

[0733] The server transmits the generated emotion data to the generative artificial intelligence.

[0734] Input: "Emotion data" received from the emotion engine.

[0735] Output: Emotion data and the original message are sent to the generative AI.

[0736] Specific operation: Send a request containing emotion data to a generative artificial intelligence (e.g., OpenAI GPT-4).

[0737] Step 6:

[0738] Generative AI analyzes the received message and emotional data and generates appropriate media content.

[0739] Input: Emotion data and original "message".

[0740] Output: The "media content" that best suits the user.

[0741] Specific operation: The generative AI analyzes and generates using the following prompt sentence:

[0742] "The user is feeling stressed. Can you suggest some media content that will help them relax? Please provide a specific list and your reasons."

[0743] Generated content includes relaxing music, videos, articles, and more.

[0744] Step 7:

[0745] The server receives content from the generative artificial intelligence and transmits it to the user's terminal.

[0746] Input: "Media content" received from a generative artificial intelligence.

[0747] Output: The "content" that is sent to the user's device.

[0748] Specific operation: The server sends the content to the user's device and displays it via the LINE API or a dedicated app.

[0749] Step 8:

[0750] The user checks the results on the user terminal.

[0751] Input: The "media content" received from the server.

[0752] Output: User viewing and consuming content.

[0753] What happens: The user views content displayed in an app or smart glasses and engages in relaxation and stress management techniques.

[0754] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0755] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0756] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0757] [Third embodiment]

[0758] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0759] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0760] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0761] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0762] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0763] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0764] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0765] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0766] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0767] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0768] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0769] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0770] The present invention is an online consultation system for working women to solve career and family worries, and is configured as follows.

[0771] 1. Entering and sending messages using a user terminal

[0772] The user uses the LINE app

[0773] First, users launch the LINE app on their smartphone, tablet, or other device, then open the service's official account, enter their concerns or questions as a text message, and send it.

[0774] As a specific example, the user inputs the following message:

[0775] "I've been feeling stressed at work lately. How can I relax?"

[0776] 2. The server receives the message and sends it to the generative AI.

[0777] The server uses the LINE API

[0778] Messages sent by users are forwarded to the server via the LINE API. The server receives the message and starts processing it in the backend. The server then sends the received message to the API endpoint of the generative artificial intelligence (ChatGPT).

[0779] 3. Generative AI analyzes the received message and generates advice

[0780] Analysis of generative artificial intelligence and advice generation

[0781] The generative artificial intelligence receives the message sent from the server and generates appropriate advice by referring to a database supervised by experts.

[0782] As a concrete example, generative artificial intelligence generates advice such as the following:

[0783] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0784] 4. The server receives advice from the generative AI and sends it to the user's device.

[0785] The server sends the advice via the LINE API

[0786] The server receives the advice returned by the generative AI and sends it back to the user's LINE app. To do this, the server uses the LINE API to deliver the advice to the user in an appropriate format.

[0787] As a concrete example, a user receives the following message on the LINE app.

[0788] Server: "To relieve stress, try light exercise, a relaxing hobby, deep breathing, or meditation. It's also important to take regular breaks."

[0789] 5. Privacy Protection

[0790] Server-based data protection

[0791] All communication data is encrypted by the server. This protects communication between the user and the server from unauthorized access by third parties. The server also protects the user's personal information and promptly deletes the data if it is no longer needed.

[0792] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, so users can easily use it anytime, anywhere. This feature significantly reduces psychological and time hurdles and supports women's advancement in society.

[0793] The processing flow will be explained below.

[0794] Step 1:

[0795] The user opens the LINE app

[0796] Users launch the LINE app on their smartphone or other device, select the service's official account, open the chat screen, and enter the details of their inquiry.

[0797] Step 2:

[0798] A user sends a message

[0799] The user presses the send button to send the consultation content they have entered. For example, they might enter, "I've been feeling stressed at work lately. How can I relax?"

[0800] Step 3:

[0801] The server receives the message via the LINE API

[0802] The server uses the LINE API to receive a message from the user, which contains the user ID and the text sent.

[0803] Step 4:

[0804] The server sends the message to the generative AI.

[0805] The server analyzes the received message, extracts the necessary information, and then sends it as a request to the API endpoint of the generative artificial intelligence (ChatGPT).

[0806] Step 5:

[0807] Generative AI analyzes messages and generates advice

[0808] The generative AI analyzes the received message and generates appropriate advice by referring to a database of experts. This advice is then sent back to the server.

[0809] Step 6:

[0810] The server receives advice from the generative artificial intelligence

[0811] The server receives advice returned from the generative artificial intelligence, which is formatted for transmission to the user.

[0812] Step 7:

[0813] The server sends the advice to the user via the LINE API.

[0814] The server sends the advice received from the generative AI to the user's LINE app via the LINE API. The server uses encrypted communications to protect the user's personal information.

[0815] Step 8:

[0816] User receives advice

[0817] The user receives advice from the server on the LINE app. For example, they may receive a message such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It's also important to take appropriate breaks."

[0818] Step 9:

[0819] The server encrypts and protects communication data.

[0820] The server encrypts all communications with the user to protect the user's personal information from unauthorized access, and if necessary, the data is promptly deleted.

[0821] Example 1

[0822] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0823] Today's working women often have many worries about their careers and family. However, there are few systems that allow them to easily discuss these concerns regardless of time or place, and the psychological barrier to consultation is high. For this reason, there is a need to provide an online system that users can consult with in peace of mind. Furthermore, protecting users' privacy and data is also an important issue.

[0824] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0825] In this invention, the server includes means for a user to input and send consultation details using a communication device, means for the server to receive messages from the user and format and forward them to the generative AI, means for the generative AI to analyze the received messages and generate advice based on a database supervised by experts, and means for the server to receive advice from the generative AI and resend it to the user's communication device. This provides an environment where working women can easily and safely seek advice online about career and family concerns, and makes it possible to protect users' personal information and communication data.

[0826] A "user" is an individual who uses the communication system to input and transmit consultation content.

[0827] A "communication device" is a smartphone, tablet, or other electronic device that a user uses to type and send messages.

[0828] A "server" is a computing device whose role is to receive and process messages sent by users and forward them to the generative AI.

[0829] "Generative AI" is an AI model that analyzes messages sent from the server and generates appropriate advice.

[0830] The "database" stores information supervised by experts and is a source of information that the generative artificial intelligence uses as a reference when generating advice.

[0831] A "message" is text data that a user inputs using a communication device and sends to a server.

[0832] "Advice" is a solution or suggestion generated by generative artificial intelligence based on the user's message.

[0833] "Formatting" is the process of shaping the received message into an appropriate format and structure before forwarding it to the generative artificial intelligence.

[0834] "Communication data" refers to all digital information exchanged between a user and a server, or between a server and a generative artificial intelligence.

[0835] The present invention is an online consultation system for working women to solve career and family worries, and is configured as follows.

[0836] Overall system overview

[0837] This system is built around a series of processes in which users input and send their consultation details as text messages using communication devices such as smartphones or tablets. The sent messages are received by a server and forwarded to a generative AI. The generative AI then generates advice based on the messages, which is then returned to the user via the server.

[0838] Hardware and Software Examples

[0839] Communication device: A smartphone or tablet is used, allowing users to input and send messages using apps such as LINE.

[0840] Server: Receives messages and forwards them to the generative AI. Messages are handed over using the LINE API.

[0841] Generative AI: Generative AI models such as ChatGPT are used to analyze messages from the server and generate advice.

[0842] Operation details and examples

[0843] The user enters and sends a message

[0844] Users launch the LINE app on their smartphone or tablet, open the official account, and then enter and send the details of their inquiry as a text message.

[0845] As a specific example, the user inputs the following message:

[0846] "I've been feeling stressed at work lately. How can I relax?"

[0847] The server receives the message and forwards it to the generative AI.

[0848] The server receives messages sent by users through the LINE API, formats them into an appropriate format, and sends them to the API endpoint of the generative artificial intelligence (ChatGPT).

[0849] Generative AI analyzes messages and generates advice

[0850] The generative AI receives the message sent from the server, references a database supervised by experts, and generates appropriate advice. For example, it generates advice like the following:

[0851] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0852] The server receives advice from the generative AI and sends it to the user's device.

[0853] The server receives the advice returned by the generative AI and uses the LINE API to send the properly formatted advice back to the user's LINE app.

[0854] As a specific example, a user receives the following message on the LINE app.

[0855] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0856] Privacy and Data Protection

[0857] The server encrypts all communication data to protect communication between users and the server from unauthorized access by third parties. It also has the function to protect personal information and to promptly delete data when it is no longer needed.

[0858] This system provides an environment where working women can feel safe to consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, making it easy for users to use anytime, anywhere. By significantly reducing psychological and time hurdles, this system will support women's advancement in society.

[0859] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0860] Step 1:

[0861] The user enters and submits the consultation content

[0862] Users launch the LINE app on their smartphone or tablet, select the service's official account, enter the details of their inquiry as a text message, and tap the send button.

[0863] Input: The text message that the user types into the LINE app.

[0864] Output: Message about the consultation sent to the server via the LINE API

[0865] Example: A user sends, "I've been feeling stressed at work lately. How can I relax?"

[0866] Step 2:

[0867] The server receives the message and forwards it to the generative AI.

[0868] The server receives messages from users through the LINE API, formats them, and forwards them to the API endpoint of the generative AI.

[0869] Input: Message of consultation received from LINE API

[0870] Output: Forward formatted messages to the generative AI

[0871] Example: A server receives a message saying, "I've been feeling stressed at work lately. How can I relax?" and forwards it to a generative artificial intelligence.

[0872] Step 3:

[0873] Generative AI analyzes messages and generates advice

[0874] The generative AI receives messages sent from the server, analyzes them, and generates appropriate advice by referring to a database compiled by experts.

[0875] Input: Message of consultation transferred from the server

[0876] Output: The generated advice

[0877] Example: Generative AI analyzes the content of the consultation and generates advice such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks."

[0878] Step 4:

[0879] The server receives advice from the generative AI and sends it to the user's device.

[0880] The server receives the advice returned by the generative AI, formats it into an appropriate format, and sends it back to the user's device via the LINE API.

[0881] Input: Advice returned from the generative AI

[0882] Output: Advice message sent to the user's LINE app

[0883] Example: The server receives advice from a generative AI, such as "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks." and sends this advice to the user's LINE app.

[0884] Step 5:

[0885] Privacy and Data Protection

[0886] The server encrypts all messages and advice from users to protect communication data from unauthorized access by third parties. In addition, unnecessary data is promptly deleted to protect users' personal information.

[0887] Input: Message from user and advice from generative AI

[0888] Output: Encrypted communication data and protected personal information

[0889] Example: The server encrypts messages from users and advice from generative AI, and periodically deletes unnecessary data.

[0890] (Application example 1)

[0891] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0892] There is no online consultation system that can quickly and effectively resolve the problems that store staff face in their daily work and concerns about customer service, and there is a need for a way to reduce store staff stress and improve customer satisfaction.

[0893] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0894] In this invention, the server includes a means for inputting and sending messages using a user terminal, a means for the server to receive messages from the user terminal and send them to a generative artificial intelligence, a means for the generative artificial intelligence to analyze the received messages and generate advice based on a database supervised by experts, and a means for providing online consultation on concerns and questions related to work at the brick-and-mortar store, the user terminal being used by staff at the brick-and-mortar store. This enables staff at the brick-and-mortar store to quickly and effectively solve work problems and improve the quality of customer service.

[0895] A "user terminal" is a communication device used by staff to input and send messages.

[0896] A "server" is a communication control device that receives messages from user terminals and sends them to the generative artificial intelligence.

[0897] "Generative AI" is a program that analyzes received messages and generates advice based on an expert-supervised database.

[0898] An "expert-supervised database" is a collection of information that brings together the knowledge and know-how of experts.

[0899] "Advice" refers to advice or suggestions created by generative artificial intelligence based on the results of analysis.

[0900] A "physical store" is a store that provides goods and services directly to customers.

[0901] "Store staff" refers to employees who work in a store.

[0902] An "online consultation system" is a system for providing consultation and advice via the Internet.

[0903] "Encryption of communication data" is a technology that prevents data from being illegally obtained by third parties.

[0904] "Protection of personal information" means the appropriate management of personal data to protect the privacy of users.

[0905] This invention is an online consultation system that enables store staff to quickly and effectively resolve operational problems and customer service concerns. The elements and procedures required to implement this invention are described in detail below.

[0906] The server system uses the following hardware and software. First, a smartphone is used as the user terminal. Staff use a communication application installed on the smartphone to input and send the consultation details as a message. This communication application uses a commonly used messaging service (e.g., LINE).

[0907] The server receives data from the user's device via a communication API to receive messages. At this point, the server protects the data using encryption technology. Using the messaging service's API, the server retrieves the sent message and sends it to the generative AI (ChatGPT) API endpoint for analysis. The generative AI then refers to an expert-curated database to analyze the received message and generate appropriate advice.

[0908] The server then sends the advice received from the generative AI back to the user's device, using a communication API to display the advice in a format compatible with the user's device. All communication processes are encrypted to protect the user's privacy and personal information.

[0909] To give a concrete example, if a staff member at a brick-and-mortar store sends a message saying, "A customer has made a complaint. How should we respond?", that message is sent via the server to the generative AI, which then generates the following advice:

[0910] "First, listen carefully to understand what the customer is saying. Then propose a solution and, if necessary, speak to your manager. It's also a good idea to offer an apology along with a gift."

[0911] This advice is sent via the server to the staff member's smartphone, and the staff member can take appropriate action based on this advice to quickly and appropriately resolve the problem.

[0912] The above technical methods enable the collaboration of the server, user terminals, and generative artificial intelligence to realize an effective online consultation system, which helps staff quickly solve business problems and improves the quality of customer service.

[0913] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0914] Step 1:

[0915] A user uses a communication application on their smartphone to input a message about a concern they have about the store's operations or a question about customer service, and sends it to the server. The input message is specific, such as "A customer has complained. How should we respond?" The server receives this message.

[0916] Step 2:

[0917] The server encrypts the received message, thereby protecting the communication data. The encrypted message is sent to the API endpoint of the generative AI (ChatGPT). The input data is the encrypted message, and the output data is the message content before it is analyzed by the generative AI.

[0918] Step 3:

[0919] Generative AI analyzes the received message and generates appropriate advice by referring to a database supervised by experts. For example, generative AI generates advice such as, "First, listen carefully to the customer and understand what they are saying. Then, propose a solution and, if necessary, consult with your supervisor. It would also be a good idea to offer an apology along with a gift." The input data is the user's message, and the output data is the generated advice.

[0920] Step 4:

[0921] The server receives the advice returned from the generative AI. The advice content is also encrypted. The server decrypts this encrypted advice and sends it to the user's smartphone. The input data is the generated advice, and the output data is the decrypted advice displayed to the user in an appropriate format.

[0922] Step 5:

[0923] The user checks the advice sent from the server through a communication application on their smartphone. Based on this advice, the user can take specific actions to resolve the problem at the physical store. For example, they can respond appropriately to a customer who has filed a complaint. This makes it possible to resolve the problem quickly and effectively.

[0924] As described above, this system effectively solves operational and customer service problems in brick-and-mortar stores through a series of steps: the user inputs a message, the generative AI generates appropriate advice, and the server returns that advice to the user.

[0925] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0926] The present invention is an online consultation system for working women to solve career and family worries, and is particularly configured to incorporate an emotion engine. The following is a specific embodiment of the present invention.

[0927] 1. Entering and sending messages using a user terminal

[0928] The user uses the LINE app

[0929] First, users launch the LINE app on their smartphone, tablet, or other device and open the service's official account. After opening the chat screen, users can enter their inquiry details as a text message and send it.

[0930] As a specific example, the user inputs the following message:

[0931] "I've been feeling stressed at work lately. How can I relax?"

[0932] 2. The server receives the message and sends it to the generative AI and emotion engine.

[0933] The server uses the LINE API

[0934] Messages sent by users are forwarded to the server via the LINE API. The server receives the message and starts processing it in the backend. The server then sends the received message as a request to the API endpoint of the generative AI (ChatGPT) and emotion engine.

[0935] 3. Emotion engine analyzes user emotions

[0936] The server uses the emotion engine

[0937] The emotion engine receives messages sent from the server and recognizes the user's emotions. For example, it analyzes the input string to identify emotions such as "stress," "anxiety," and "anger." The emotion engine provides the analysis results to the generative AI.

[0938] 4. Generative AI generates advice based on received messages and emotional data

[0939] Analysis of generative artificial intelligence and advice generation

[0940] The generative AI analyzes the message sent from the server and the recognized emotion data, and generates appropriate advice based on the user's emotion by referring to a database compiled by experts.

[0941] As a concrete example, generative artificial intelligence generates advice such as the following:

[0942] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[0943] 5. The server receives advice from the generative AI and sends it to the user's device.

[0944] The server sends the advice via the LINE API

[0945] The server receives the advice returned by the generative AI and sends it back to the user's LINE app. To do this, the server uses the LINE API to deliver the advice to the user in an appropriate format.

[0946] As a concrete example, a user receives the following message on the LINE app.

[0947] Server: "To relieve stress, try light exercise, a relaxing hobby, deep breathing, or meditation. It's also important to take regular breaks."

[0948] 6. Privacy Protection

[0949] Server-based data protection

[0950] All communication data is encrypted by the server. This protects communication between the user and the server from unauthorized access by third parties. The server also protects the user's personal information and promptly deletes the data if it is no longer needed.

[0951] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, so users can easily use it anytime, anywhere. This feature significantly reduces psychological and time hurdles and supports women's advancement in society. The introduction of an emotion engine enables more appropriate advice that is tailored to the user.

[0952] The processing flow will be explained below.

[0953] Step 1:

[0954] The user opens the LINE app

[0955] Users launch the LINE app on their smartphone or other device and select the official account of the consultation service.

[0956] Step 2:

[0957] The user types a message

[0958] Users can enter their concerns or questions in text format on the chat screen. For example, they might enter, "I've been feeling stressed at work lately. How can I relax?"

[0959] Step 3:

[0960] A user sends a message

[0961] The user presses the send button to send the message he or she has entered.

[0962] Step 4:

[0963] The server receives the message via the LINE API

[0964] The server uses the LINE API to receive a message from the user, which contains the user ID and the text sent.

[0965] Step 5:

[0966] The server sends the message to the emotion engine

[0967] The server sends the received message to the emotion engine, which analyzes the user's emotions from the content of the message. For example, from the part "I'm feeling stressed," it extracts emotions such as "stress," "anxiety," and "fatigue."

[0968] Step 6:

[0969] Emotion engine provides emotional data to generative AI

[0970] The emotion engine extracts emotion data from the message and provides it to the generative AI. For example, if the emotion data is "stress 80%, anxiety 15%, fatigue 5%, this is passed to the generative AI.

[0971] Step 7:

[0972] The server sends the message and emotion data to the generative AI.

[0973] The server sends the analyzed emotion data and the original message to the generative AI (ChatGPT), which receives this data and begins analyzing it.

[0974] Step 8:

[0975] Generative AI generates advice

[0976] Based on the message and emotional data, the generative AI will refer to a database of experts to generate appropriate advice. For example, it might generate advice such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It's also important to take appropriate breaks."

[0977] Step 9:

[0978] The server receives advice from the generative artificial intelligence

[0979] The server receives the advice returned by the generative AI and sends it back to the user's LINE app.

[0980] Step 10:

[0981] The server sends the advice to the user via the LINE API.

[0982] The server uses the LINE API to send the generated advice to the user's LINE app.

[0983] Step 11:

[0984] User receives advice

[0985] The user receives advice messages from the server on the LINE app. For example, they may receive a message such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks."

[0986] Step 12:

[0987] The server encrypts and protects communication data.

[0988] The server encrypts all communications with the user to protect the user's personal information from unauthorized access, and if necessary, the data is promptly deleted.

[0989] Example 2

[0990] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0991] In modern society, working women often experience stress and worries due to balancing work and family life. Therefore, it is important for them to receive advice at the right time that is appropriate to their emotions and situation. However, conventional systems have difficulty accurately analyzing users' emotions and providing appropriate advice based on that analysis. To solve this problem, a system incorporating emotion recognition is needed.

[0992] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting and sending a message using a user terminal, means for the server to receive a message from the user terminal and send it to the emotion recognition engine and the generative artificial intelligence, means for the emotion recognition engine to analyze the received message, extract emotion data, and provide it to the generative artificial intelligence, means for the generative artificial intelligence to analyze the received message and emotion data and generate advice based on a database supervised by experts, and means for the server to receive advice from the generative artificial intelligence and send it to the user terminal. This makes it possible to quickly and accurately provide appropriate advice according to the user's emotions and situation.

[0993] A "user terminal" is an information device used by a user to input and send messages, and specifically is a mobile device such as a smartphone or tablet.

[0994] A "server" is a central processing unit that receives messages sent from user terminals and performs appropriate processing.

[0995] An "emotion recognition engine" is a program or algorithm that analyzes the content of received messages and identifies the user's emotions.

[0996] "Generative AI" is an AI system that analyzes received messages and emotional data and generates advice based on a database supervised by experts.

[0997] An "expert-curated database" is a knowledge base created and maintained by a person or organization with expertise in a particular field, and is a source of information that is consulted when generating advice.

[0998] "Emotion data" is information about a user's emotions extracted from a message analyzed by an emotion recognition engine.

[0999] This invention is an online consultation system for working women to solve career and family problems. In particular, it combines an emotion recognition engine and generative artificial intelligence, and can provide advice that adapts to the user's emotions.

[1000] This system uses the following hardware and software:

[1001] Use of user terminals

[1002] Users launch the LINE app on their device, such as a smartphone or tablet. They then open the service's official account through the LINE app, enter the details of their inquiry as a text message, and send it. Specifically, the following messages may be entered:

[1003] "I've been feeling stressed at work lately. How can I relax?"

[1004] Receiving and forwarding messages by the server

[1005] The server receives messages sent by users via the LINE API. The received messages are sent to the emotion recognition engine and generative AI. The LINE API is an interface for exchanging messages.

[1006] Emotion analysis using an emotion recognition engine

[1007] The server analyzes the message using an emotion recognition engine to identify the user's emotion. The emotion recognition engine extracts emotion data such as "stress," "anxiety," and "anger" from the message content. For example, "stress" or "anxiety" may be detected from the input string.

[1008] Advice generation using generative artificial intelligence

[1009] The server sends the emotion data received from the emotion recognition engine and the user's message to the generative AI. The generative AI analyzes the emotion data and the consultation content, and generates appropriate advice by referring to a database supervised by experts. Specifically, the following advice may be generated:

[1010] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[1011] Server sends advice

[1012] The server receives the advice returned by the generative AI and sends it back to the user's device. The server uses the LINE API to deliver the advice to the user in an appropriate format. The user can then check the advice sent to them on the LINE app.

[1013] Privacy and Data Management

[1014] The server encrypts all communication data to protect communication with users from unauthorized access by third parties. The server also protects users' personal information and deletes data promptly if necessary.

[1015] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The combination of an emotion recognition engine and generative AI makes it possible to provide users with more considerate advice quickly.

[1016] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1017] Step 1:

[1018] The user launches the LINE app on their device. The user opens the service's official account, enters the content of their inquiry, and presses the send button to send the message. The input is in the form of a text message, and specifically, the following message is entered:

[1019] Type: ["I've been feeling stressed at work lately. How can I relax?"]

[1020] Output: [Query message from user]

[1021] Step 2:

[1022] The server receives messages from users' devices via the LINE API. The received messages are analyzed within the server and then sent to the emotion recognition engine and generative AI.

[1023] Input: [User inquiry message]

[1024] Output: [Message sent to emotion recognition engine and generative AI]

[1025] Step 3:

[1026] The server sends a message to the emotion recognition engine. The emotion recognition engine analyzes the received message and identifies the user's emotion. The identified emotion is extracted as specific emotion data such as "stress" or "anxiety."

[1027] Input: [User inquiry message sent from the server]

[1028] Output: [Emotion data extracted by the emotion recognition engine]

[1029] Step 4:

[1030] The emotion data sent from the emotion recognition engine is received by the server and then sent to the generative AI, which comprehensively analyzes the emotion data and the original message and generates appropriate advice by referring to a database supervised by experts.

[1031] Input: [emotion data from emotion recognition engine, user query message]

[1032] Output: [Advice generated by generative artificial intelligence]

[1033] Step 5:

[1034] The server receives advice generated by the generative AI and sends it to the user's device via the LINE API.

[1035] Input: [Advice from generative artificial intelligence]

[1036] Output: [Advice message sent to user's terminal]

[1037] Step 6:

[1038] The user's device will display the advice received from the LINE API. Specifically, the following message will be displayed:

[1039] Input: [Advice message sent from server]

[1040] Output: ["Light exercise, relaxing hobbies, deep breathing, and meditation can all help relieve stress. It's also important to take regular breaks."]

[1041] In this way, the entire system is completed, and appropriate advice is provided through emotion recognition and generative artificial intelligence during the process of users discussing their concerns.

[1042] (Application example 2)

[1043] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1044] In recent years, there has been an increasing demand for online mental health care services as a way for working women to alleviate career and family worries. However, existing systems lack the functionality to provide appropriate advice and content that responds to the user's emotions and situation, resulting in a poor user experience. Furthermore, systems with emotion analysis capabilities are rare, making it difficult to automatically suggest specific responses to specific emotions such as stress, anxiety, and joy. Therefore, there is a need to resolve these issues and provide appropriate media content that responds to the user's emotions.

[1045] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting and sending a message using a user terminal, means for the server to receive a message from the user terminal and send it to the emotion engine, means for the emotion engine to analyze the message and generate emotion data, means for the server to send the generated emotion data to the generative artificial intelligence, means for the generative artificial intelligence to analyze the received message and emotion data and generate appropriate media content, and means for the server to receive content from the generative artificial intelligence and send it to the user terminal. This makes it possible to provide appropriate advice and media content according to the user's emotions and situation.

[1046] Definition of Terms

[1047] "User terminal" refers to a device for inputting and sending messages, including smartphones, tablets, smart glasses, etc.

[1048] The "server" is a central computer system that receives messages from user terminals and transmits them to the emotion engine and generative artificial intelligence.

[1049] An "emotion engine" is software or hardware that analyzes received messages, identifies a user's emotions (e.g., stress, anxiety, joy, etc.), and generates emotion data.

[1050] "Generative AI" refers to an AI model that analyzes received messages and emotional data and generates appropriate advice and media content.

[1051] "Content" refers to advice and media information (e.g., music, videos, articles, etc.) generated by generative artificial intelligence and sent to the user's device.

[1052] A "message" is a text or voice message that a user inputs using a user terminal and sends to a server.

[1053] "Emotion data" is data that represents the emotional state of the user, as determined by the emotion engine analyzing the message.

[1054] MODE FOR CARRYING OUT THE INVENTION

[1055] This invention is an online consultation system that combines an emotion engine to help working women solve their career and family worries, and in particular operates as a media content recommendation system.

[1056] Overview of the embodiment

[1057] This system consists of a user terminal, a server, an emotion engine, and generative AI. The specific operation of each component is explained below.

[1058] Input and send messages using user terminals

[1059] A user uses a user device such as a smartphone or smart glasses to input and send a message. For example, a user starts an application on their smartphone and inputs the following:

[1060] "I've been feeling stressed at work lately. How can I relax?"

[1061] Server receives message and sends it to emotion engine

[1062] The server receives the message sent from the user terminal, and the received message is sent to the emotion engine for analysis.

[1063] Analyzing user emotions with an emotion engine

[1064] The emotion engine (e.g., IBM Watson) analyzes the received message and identifies the user's emotion. For example, the emotion engine detects "stress" and provides the analysis results to the generative artificial intelligence.

[1065] Content generation using generative artificial intelligence

[1066] Generative AI (e.g., OpenAI GPT-4) generates optimal media content based on the emotional data received from the emotion engine and the user's message, for example, using the following prompt:

[1067] "The user is feeling stressed. Can you suggest some media content that will help them relax? Please provide a specific list and your reasons."

[1068] This allows the generative AI to suggest relaxing music playlists and inspirational articles.

[1069] Content provided by the server

[1070] The server receives the generated media content and sends it to the user's terminal, where the user can access the proposed content on their smartphone or smart glasses.

[1071] Privacy Protection

[1072] All communications are encrypted using SSL / TLS. In addition, users' personal information is stored in a secure database and data that is no longer needed is promptly deleted.

[1073] Specific examples

[1074] The user enters the following message into the application:

[1075] "I've had trouble sleeping lately, so I want to relax."

[1076] The server performs emotion analysis and identifies the emotion as "anxiety." After that, the generative AI provides the user with relaxing music and advice on regulating the autonomic nervous system.

[1077] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1078] Program processing steps

[1079] Step 1:

[1080] A user inputs and sends a message using a user terminal.

[1081] Input: The user inputs a "message" using a smartphone or smart glasses.

[1082] Output: The entered message is sent to the server via the LINE app or a dedicated app.

[1083] Specific operation: Open the app screen and enter the following:

[1084] "I've been feeling stressed at work lately. How can I relax?"

[1085] Step 2:

[1086] The server receives the message from the user terminal.

[1087] Input: A "message" sent from the user terminal arrives at the server.

[1088] Output: The received message is added to a processing queue in the server, ready to be sent to the emotion engine.

[1089] Specific behavior: The server receives the message using the LINE API and starts processing in the backend.

[1090] Step 3:

[1091] The server sends the message to the emotion engine for analysis.

[1092] Input: The "message" received by the server.

[1093] Output: "Emotion data" analyzed by the emotion engine.

[1094] What it does: Sends a message to an emotion engine (e.g., IBM Watson) to identify emotions such as stress, anxiety, or joy.

[1095] Step 4:

[1096] The emotion engine recognizes the user's emotions and generates emotion data.

[1097] Input: The "message" sent by the server.

[1098] Output: "Emotion data" as the analysis result.

[1099] What it does: The emotion engine performs text analysis to extract emotions such as "stress."

[1100] Step 5:

[1101] The server transmits the generated emotion data to the generative artificial intelligence.

[1102] Input: "Emotion data" received from the emotion engine.

[1103] Output: Emotion data and the original message are sent to the generative AI.

[1104] Specific operation: Send a request containing emotion data to a generative artificial intelligence (e.g., OpenAI GPT-4).

[1105] Step 6:

[1106] Generative AI analyzes the received message and emotional data and generates appropriate media content.

[1107] Input: Emotion data and original "message".

[1108] Output: The "media content" that best suits the user.

[1109] Specific operation: The generative AI analyzes and generates using the following prompt sentence:

[1110] "The user is feeling stressed. Can you suggest some media content that will help them relax? Please provide a specific list and your reasons."

[1111] Generated content includes relaxing music, videos, articles, and more.

[1112] Step 7:

[1113] The server receives content from the generative artificial intelligence and transmits it to the user's terminal.

[1114] Input: "Media content" received from a generative artificial intelligence.

[1115] Output: The "content" that is sent to the user's device.

[1116] Specific operation: The server sends the content to the user's device and displays it via the LINE API or a dedicated app.

[1117] Step 8:

[1118] The user checks the results on the user terminal.

[1119] Input: The "media content" received from the server.

[1120] Output: User viewing and consuming content.

[1121] What happens: The user views content displayed in an app or smart glasses and engages in relaxation and stress management techniques.

[1122] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1123] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1124] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1125] [Fourth embodiment]

[1126] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1127] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1128] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1129] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1130] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1131] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1132] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1133] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1134] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1135] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1136] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1137] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1138] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1139] The present invention is an online consultation system for working women to solve career and family worries, and is configured as follows.

[1140] 1. Entering and sending messages using a user terminal

[1141] The user uses the LINE app

[1142] First, users launch the LINE app on their smartphone, tablet, or other device, then open the service's official account, enter their concerns or questions as a text message, and send it.

[1143] As a specific example, the user inputs the following message:

[1144] "I've been feeling stressed at work lately. How can I relax?"

[1145] 2. The server receives the message and sends it to the generative AI.

[1146] The server uses the LINE API

[1147] Messages sent by users are forwarded to the server via the LINE API. The server receives the message and starts processing it in the backend. The server then sends the received message to the API endpoint of the generative artificial intelligence (ChatGPT).

[1148] 3. Generative AI analyzes the received message and generates advice

[1149] Analysis of generative artificial intelligence and advice generation

[1150] The generative artificial intelligence receives the message sent from the server and generates appropriate advice by referring to a database supervised by experts.

[1151] As a concrete example, generative artificial intelligence generates advice such as the following:

[1152] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[1153] 4. The server receives advice from the generative AI and sends it to the user's device.

[1154] The server sends the advice via the LINE API

[1155] The server receives the advice returned by the generative AI and sends it back to the user's LINE app. To do this, the server uses the LINE API to deliver the advice to the user in an appropriate format.

[1156] As a concrete example, a user receives the following message on the LINE app.

[1157] Server: "To relieve stress, try light exercise, a relaxing hobby, deep breathing, or meditation. It's also important to take regular breaks."

[1158] 5. Privacy Protection

[1159] Server-based data protection

[1160] All communication data is encrypted by the server. This protects communication between the user and the server from unauthorized access by third parties. The server also protects the user's personal information and promptly deletes the data if it is no longer needed.

[1161] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, so users can easily use it anytime, anywhere. This feature significantly reduces psychological and time hurdles and supports women's advancement in society.

[1162] The processing flow will be explained below.

[1163] Step 1:

[1164] The user opens the LINE app

[1165] Users launch the LINE app on their smartphone or other device, select the service's official account, open the chat screen, and enter the details of their inquiry.

[1166] Step 2:

[1167] A user sends a message

[1168] The user presses the send button to send the consultation content they have entered. For example, they might enter, "I've been feeling stressed at work lately. How can I relax?"

[1169] Step 3:

[1170] The server receives the message via the LINE API

[1171] The server uses the LINE API to receive a message from the user, which contains the user ID and the text sent.

[1172] Step 4:

[1173] The server sends the message to the generative AI.

[1174] The server analyzes the received message, extracts the necessary information, and then sends it as a request to the API endpoint of the generative artificial intelligence (ChatGPT).

[1175] Step 5:

[1176] Generative AI analyzes messages and generates advice

[1177] The generative AI analyzes the received message and generates appropriate advice by referring to a database of experts. This advice is then sent back to the server.

[1178] Step 6:

[1179] The server receives advice from the generative artificial intelligence

[1180] The server receives advice returned from the generative artificial intelligence, which is formatted for transmission to the user.

[1181] Step 7:

[1182] The server sends the advice to the user via the LINE API.

[1183] The server sends the advice received from the generative AI to the user's LINE app via the LINE API. The server uses encrypted communications to protect the user's personal information.

[1184] Step 8:

[1185] User receives advice

[1186] The user receives advice from the server on the LINE app. For example, they may receive a message such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It's also important to take appropriate breaks."

[1187] Step 9:

[1188] The server encrypts and protects communication data.

[1189] The server encrypts all communications with the user to protect the user's personal information from unauthorized access, and if necessary, the data is promptly deleted.

[1190] Example 1

[1191] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1192] Today's working women often have many worries about their careers and family. However, there are few systems that allow them to easily discuss these concerns regardless of time or place, and the psychological barrier to consultation is high. For this reason, there is a need to provide an online system that users can consult with in peace of mind. Furthermore, protecting users' privacy and data is also an important issue.

[1193] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1194] In this invention, the server includes means for a user to input and send consultation details using a communication device, means for the server to receive messages from the user and format and forward them to the generative AI, means for the generative AI to analyze the received messages and generate advice based on a database supervised by experts, and means for the server to receive advice from the generative AI and resend it to the user's communication device. This provides an environment where working women can easily and safely seek advice online about career and family concerns, and makes it possible to protect users' personal information and communication data.

[1195] A "user" is an individual who uses the communication system to input and transmit consultation content.

[1196] A "communication device" is a smartphone, tablet, or other electronic device that a user uses to type and send messages.

[1197] A "server" is a computing device whose role is to receive and process messages sent by users and forward them to the generative AI.

[1198] "Generative AI" is an AI model that analyzes messages sent from the server and generates appropriate advice.

[1199] The "database" stores information supervised by experts and is a source of information that the generative artificial intelligence uses as a reference when generating advice.

[1200] A "message" is text data that a user inputs using a communication device and sends to a server.

[1201] "Advice" is a solution or suggestion generated by generative artificial intelligence based on the user's message.

[1202] "Formatting" is the process of shaping the received message into an appropriate format and structure before forwarding it to the generative artificial intelligence.

[1203] "Communication data" refers to all digital information exchanged between a user and a server, or between a server and a generative artificial intelligence.

[1204] The present invention is an online consultation system for working women to solve career and family worries, and is configured as follows.

[1205] Overall system overview

[1206] This system is built around a series of processes in which users input and send their consultation details as text messages using communication devices such as smartphones or tablets. The sent messages are received by a server and forwarded to a generative AI. The generative AI then generates advice based on the messages, which is then returned to the user via the server.

[1207] Hardware and Software Examples

[1208] Communication device: A smartphone or tablet is used, allowing users to input and send messages using apps such as LINE.

[1209] Server: Receives messages and forwards them to the generative AI. Messages are handed over using the LINE API.

[1210] Generative AI: Generative AI models such as ChatGPT are used to analyze messages from the server and generate advice.

[1211] Operation details and examples

[1212] The user enters and sends a message

[1213] Users launch the LINE app on their smartphone or tablet, open the official account, and then enter and send the details of their inquiry as a text message.

[1214] As a specific example, the user inputs the following message:

[1215] "I've been feeling stressed at work lately. How can I relax?"

[1216] The server receives the message and forwards it to the generative AI.

[1217] The server receives messages sent by users through the LINE API, formats them into an appropriate format, and sends them to the API endpoint of the generative artificial intelligence (ChatGPT).

[1218] Generative AI analyzes messages and generates advice

[1219] The generative AI receives the message sent from the server, references a database supervised by experts, and generates appropriate advice. For example, it generates advice like the following:

[1220] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[1221] The server receives advice from the generative AI and sends it to the user's device.

[1222] The server receives the advice returned by the generative AI and uses the LINE API to send the properly formatted advice back to the user's LINE app.

[1223] As a specific example, a user receives the following message on the LINE app.

[1224] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[1225] Privacy and Data Protection

[1226] The server encrypts all communication data to protect communication between users and the server from unauthorized access by third parties. It also has the function to protect personal information and to promptly delete data when it is no longer needed.

[1227] This system provides an environment where working women can feel safe to consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, making it easy for users to use anytime, anywhere. By significantly reducing psychological and time hurdles, this system will support women's advancement in society.

[1228] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1229] Step 1:

[1230] The user enters and submits the consultation content

[1231] Users launch the LINE app on their smartphone or tablet, select the service's official account, enter the details of their inquiry as a text message, and tap the send button.

[1232] Input: The text message that the user types into the LINE app.

[1233] Output: Message about the consultation sent to the server via the LINE API

[1234] Example: A user sends, "I've been feeling stressed at work lately. How can I relax?"

[1235] Step 2:

[1236] The server receives the message and forwards it to the generative AI.

[1237] The server receives messages from users through the LINE API, formats them, and forwards them to the API endpoint of the generative AI.

[1238] Input: Message of consultation received from LINE API

[1239] Output: Forward formatted messages to the generative AI

[1240] Example: A server receives a message saying, "I've been feeling stressed at work lately. How can I relax?" and forwards it to a generative artificial intelligence.

[1241] Step 3:

[1242] Generative AI analyzes messages and generates advice

[1243] The generative AI receives messages sent from the server, analyzes them, and generates appropriate advice by referring to a database compiled by experts.

[1244] Input: Message of consultation transferred from the server

[1245] Output: The generated advice

[1246] Example: Generative AI analyzes the content of the consultation and generates advice such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks."

[1247] Step 4:

[1248] The server receives advice from the generative AI and sends it to the user's device.

[1249] The server receives the advice returned by the generative AI, formats it into an appropriate format, and sends it back to the user's device via the LINE API.

[1250] Input: Advice returned from the generative AI

[1251] Output: Advice message sent to the user's LINE app

[1252] Example: The server receives advice from a generative AI, such as "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks." and sends this advice to the user's LINE app.

[1253] Step 5:

[1254] Privacy and Data Protection

[1255] The server encrypts all messages and advice from users to protect communication data from unauthorized access by third parties. In addition, unnecessary data is promptly deleted to protect users' personal information.

[1256] Input: Message from user and advice from generative AI

[1257] Output: Encrypted communication data and protected personal information

[1258] Example: The server encrypts messages from users and advice from generative AI, and periodically deletes unnecessary data.

[1259] (Application example 1)

[1260] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1261] There is no online consultation system that can quickly and effectively resolve the problems that store staff face in their daily work and concerns about customer service, and there is a need for a way to reduce store staff stress and improve customer satisfaction.

[1262] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1263] In this invention, the server includes a means for inputting and sending messages using a user terminal, a means for the server to receive messages from the user terminal and send them to a generative artificial intelligence, a means for the generative artificial intelligence to analyze the received messages and generate advice based on a database supervised by experts, and a means for providing online consultation on concerns and questions related to work at the brick-and-mortar store, the user terminal being used by staff at the brick-and-mortar store. This enables staff at the brick-and-mortar store to quickly and effectively solve work problems and improve the quality of customer service.

[1264] A "user terminal" is a communication device used by staff to input and send messages.

[1265] A "server" is a communication control device that receives messages from user terminals and sends them to the generative artificial intelligence.

[1266] "Generative AI" is a program that analyzes received messages and generates advice based on an expert-supervised database.

[1267] An "expert-supervised database" is a collection of information that brings together the knowledge and know-how of experts.

[1268] "Advice" refers to advice or suggestions created by generative artificial intelligence based on the results of analysis.

[1269] A "physical store" is a store that provides goods and services directly to customers.

[1270] "Store staff" refers to employees who work in a store.

[1271] An "online consultation system" is a system for providing consultation and advice via the Internet.

[1272] "Encryption of communication data" is a technology that prevents data from being illegally obtained by third parties.

[1273] "Protection of personal information" means the appropriate management of personal data to protect the privacy of users.

[1274] This invention is an online consultation system that enables store staff to quickly and effectively resolve operational problems and customer service concerns. The elements and procedures required to implement this invention are described in detail below.

[1275] The server system uses the following hardware and software. First, a smartphone is used as the user terminal. Staff use a communication application installed on the smartphone to input and send the consultation details as a message. This communication application uses a commonly used messaging service (e.g., LINE).

[1276] The server receives data from the user's device via a communication API to receive messages. At this point, the server protects the data using encryption technology. Using the messaging service's API, the server retrieves the sent message and sends it to the generative AI (ChatGPT) API endpoint for analysis. The generative AI then refers to an expert-curated database to analyze the received message and generate appropriate advice.

[1277] The server then sends the advice received from the generative AI back to the user's device, using a communication API to display the advice in a format compatible with the user's device. All communication processes are encrypted to protect the user's privacy and personal information.

[1278] To give a concrete example, if a staff member at a brick-and-mortar store sends a message saying, "A customer has made a complaint. How should we respond?", that message is sent via the server to the generative AI, which then generates the following advice:

[1279] "First, listen carefully to understand what the customer is saying. Then propose a solution and, if necessary, speak to your manager. It's also a good idea to offer an apology along with a gift."

[1280] This advice is sent via the server to the staff member's smartphone, and the staff member can take appropriate action based on this advice to quickly and appropriately resolve the problem.

[1281] The above technical methods enable the collaboration of the server, user terminals, and generative artificial intelligence to realize an effective online consultation system, which helps staff quickly solve business problems and improves the quality of customer service.

[1282] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1283] Step 1:

[1284] A user uses a communication application on their smartphone to input a message about a concern they have about the store's operations or a question about customer service, and sends it to the server. The input message is specific, such as "A customer has complained. How should we respond?" The server receives this message.

[1285] Step 2:

[1286] The server encrypts the received message, thereby protecting the communication data. The encrypted message is sent to the API endpoint of the generative AI (ChatGPT). The input data is the encrypted message, and the output data is the message content before it is analyzed by the generative AI.

[1287] Step 3:

[1288] Generative AI analyzes the received message and generates appropriate advice by referring to a database supervised by experts. For example, generative AI generates advice such as, "First, listen carefully to the customer and understand what they are saying. Then, propose a solution and, if necessary, consult with your supervisor. It would also be a good idea to offer an apology along with a gift." The input data is the user's message, and the output data is the generated advice.

[1289] Step 4:

[1290] The server receives the advice returned from the generative AI. The advice content is also encrypted. The server decrypts this encrypted advice and sends it to the user's smartphone. The input data is the generated advice, and the output data is the decrypted advice displayed to the user in an appropriate format.

[1291] Step 5:

[1292] The user checks the advice sent from the server through a communication application on their smartphone. Based on this advice, the user can take specific actions to resolve the problem at the physical store. For example, they can respond appropriately to a customer who has filed a complaint. This makes it possible to resolve the problem quickly and effectively.

[1293] As described above, this system effectively solves operational and customer service problems in brick-and-mortar stores through a series of steps: the user inputs a message, the generative AI generates appropriate advice, and the server returns that advice to the user.

[1294] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1295] The present invention is an online consultation system for working women to solve career and family worries, and is particularly configured to incorporate an emotion engine. The following is a specific embodiment of the present invention.

[1296] 1. Entering and sending messages using a user terminal

[1297] The user uses the LINE app

[1298] First, users launch the LINE app on their smartphone, tablet, or other device and open the service's official account. After opening the chat screen, users can enter their inquiry details as a text message and send it.

[1299] As a specific example, the user inputs the following message:

[1300] "I've been feeling stressed at work lately. How can I relax?"

[1301] 2. The server receives the message and sends it to the generative AI and emotion engine.

[1302] The server uses the LINE API

[1303] Messages sent by users are forwarded to the server via the LINE API. The server receives the message and starts processing it in the backend. The server then sends the received message as a request to the API endpoint of the generative AI (ChatGPT) and emotion engine.

[1304] 3. Emotion engine analyzes user emotions

[1305] The server uses the emotion engine

[1306] The emotion engine receives messages sent from the server and recognizes the user's emotions. For example, it analyzes the input string to identify emotions such as "stress," "anxiety," and "anger." The emotion engine provides the analysis results to the generative AI.

[1307] 4. Generative AI generates advice based on received messages and emotional data

[1308] Analysis of generative artificial intelligence and advice generation

[1309] The generative AI analyzes the message sent from the server and the recognized emotion data, and generates appropriate advice based on the user's emotion by referring to a database compiled by experts.

[1310] As a concrete example, generative artificial intelligence generates advice such as the following:

[1311] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[1312] 5. The server receives advice from the generative AI and sends it to the user's device.

[1313] The server sends the advice via the LINE API

[1314] The server receives the advice returned by the generative AI and sends it back to the user's LINE app. To do this, the server uses the LINE API to deliver the advice to the user in an appropriate format.

[1315] As a concrete example, a user receives the following message on the LINE app.

[1316] Server: "To relieve stress, try light exercise, a relaxing hobby, deep breathing, or meditation. It's also important to take regular breaks."

[1317] 6. Privacy Protection

[1318] Server-based data protection

[1319] All communication data is encrypted by the server. This protects communication between the user and the server from unauthorized access by third parties. The server also protects the user's personal information and promptly deletes the data if it is no longer needed.

[1320] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The entire process is completed online and is available 24 hours a day, 365 days a year, so users can easily use it anytime, anywhere. This feature significantly reduces psychological and time hurdles and supports women's advancement in society. The introduction of an emotion engine enables more appropriate advice that is tailored to the user.

[1321] The processing flow will be explained below.

[1322] Step 1:

[1323] The user opens the LINE app

[1324] Users launch the LINE app on their smartphone or other device and select the official account of the consultation service.

[1325] Step 2:

[1326] The user types a message

[1327] Users can enter their concerns or questions in text format on the chat screen. For example, they might enter, "I've been feeling stressed at work lately. How can I relax?"

[1328] Step 3:

[1329] A user sends a message

[1330] The user presses the send button to send the message he or she has entered.

[1331] Step 4:

[1332] The server receives the message via the LINE API

[1333] The server uses the LINE API to receive a message from the user, which contains the user ID and the text sent.

[1334] Step 5:

[1335] The server sends the message to the emotion engine

[1336] The server sends the received message to the emotion engine, which analyzes the user's emotions from the content of the message. For example, from the part "I'm feeling stressed," it extracts emotions such as "stress," "anxiety," and "fatigue."

[1337] Step 6:

[1338] Emotion engine provides emotional data to generative AI

[1339] The emotion engine extracts emotion data from the message and provides it to the generative AI. For example, if the emotion data is "stress 80%, anxiety 15%, fatigue 5%, this is passed to the generative AI.

[1340] Step 7:

[1341] The server sends the message and emotion data to the generative AI.

[1342] The server sends the analyzed emotion data and the original message to the generative AI (ChatGPT), which receives this data and begins analyzing it.

[1343] Step 8:

[1344] Generative AI generates advice

[1345] Based on the message and emotional data, the generative AI will refer to a database of experts to generate appropriate advice. For example, it might generate advice such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It's also important to take appropriate breaks."

[1346] Step 9:

[1347] The server receives advice from the generative artificial intelligence

[1348] The server receives the advice returned by the generative AI and sends it back to the user's LINE app.

[1349] Step 10:

[1350] The server sends the advice to the user via the LINE API.

[1351] The server uses the LINE API to send the generated advice to the user's LINE app.

[1352] Step 11:

[1353] User receives advice

[1354] The user receives advice messages from the server on the LINE app. For example, they may receive a message such as, "Light exercise, relaxing hobbies, deep breathing, and meditation are effective ways to relieve stress. It is also important to take appropriate breaks."

[1355] Step 12:

[1356] The server encrypts and protects communication data.

[1357] The server encrypts all communications with the user to protect the user's personal information from unauthorized access, and if necessary, the data is promptly deleted.

[1358] Example 2

[1359] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1360] In modern society, working women often experience stress and worries due to balancing work and family life. Therefore, it is important for them to receive advice at the right time that is appropriate to their emotions and situation. However, conventional systems have difficulty accurately analyzing users' emotions and providing appropriate advice based on that analysis. To solve this problem, a system incorporating emotion recognition is needed.

[1361] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting and sending a message using a user terminal, means for the server to receive a message from the user terminal and send it to the emotion recognition engine and the generative artificial intelligence, means for the emotion recognition engine to analyze the received message, extract emotion data, and provide it to the generative artificial intelligence, means for the generative artificial intelligence to analyze the received message and emotion data and generate advice based on a database supervised by experts, and means for the server to receive advice from the generative artificial intelligence and send it to the user terminal. This makes it possible to quickly and accurately provide appropriate advice according to the user's emotions and situation.

[1362] A "user terminal" is an information device used by a user to input and send messages, and specifically is a mobile device such as a smartphone or tablet.

[1363] A "server" is a central processing unit that receives messages sent from user terminals and performs appropriate processing.

[1364] An "emotion recognition engine" is a program or algorithm that analyzes the content of received messages and identifies the user's emotions.

[1365] "Generative AI" is an AI system that analyzes received messages and emotional data and generates advice based on a database supervised by experts.

[1366] An "expert-curated database" is a knowledge base created and maintained by a person or organization with expertise in a particular field, and is a source of information that is consulted when generating advice.

[1367] "Emotion data" is information about a user's emotions extracted from a message analyzed by an emotion recognition engine.

[1368] This invention is an online consultation system for working women to solve career and family problems. In particular, it combines an emotion recognition engine and generative artificial intelligence, and can provide advice that adapts to the user's emotions.

[1369] This system uses the following hardware and software:

[1370] Use of user terminals

[1371] Users launch the LINE app on their device, such as a smartphone or tablet. They then open the service's official account through the LINE app, enter the details of their inquiry as a text message, and send it. Specifically, the following messages may be entered:

[1372] "I've been feeling stressed at work lately. How can I relax?"

[1373] Receiving and forwarding messages by the server

[1374] The server receives messages sent by users via the LINE API. The received messages are sent to the emotion recognition engine and generative AI. The LINE API is an interface for exchanging messages.

[1375] Emotion analysis using an emotion recognition engine

[1376] The server analyzes the message using an emotion recognition engine to identify the user's emotion. The emotion recognition engine extracts emotion data such as "stress," "anxiety," and "anger" from the message content. For example, "stress" or "anxiety" may be detected from the input string.

[1377] Advice generation using generative artificial intelligence

[1378] The server sends the emotion data received from the emotion recognition engine and the user's message to the generative AI. The generative AI analyzes the emotion data and the consultation content, and generates appropriate advice by referring to a database supervised by experts. Specifically, the following advice may be generated:

[1379] "Light exercise, relaxing hobbies, deep breathing and meditation are effective ways to relieve stress. It's also important to take proper breaks."

[1380] Server sends advice

[1381] The server receives the advice returned by the generative AI and sends it back to the user's device. The server uses the LINE API to deliver the advice to the user in an appropriate format. The user can then check the advice sent to them on the LINE app.

[1382] Privacy and Data Management

[1383] The server encrypts all communication data to protect communication with users from unauthorized access by third parties. The server also protects users' personal information and deletes data promptly if necessary.

[1384] In this way, this system provides an environment where working women can easily and safely consult about career and family concerns. The combination of an emotion recognition engine and generative AI makes it possible to provide users with more considerate advice quickly.

[1385] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1386] Step 1:

[1387] The user launches the LINE app on their device. The user opens the service's official account, enters the content of their inquiry, and presses the send button to send the message. The input is in the form of a text message, and specifically, the following message is entered:

[1388] Type: ["I've been feeling stressed at work lately. How can I relax?"]

[1389] Output: [Query message from user]

[1390] Step 2:

[1391] The server receives messages from users' devices via the LINE API. The received messages are analyzed within the server and then sent to the emotion recognition engine and generative AI.

[1392] Input: [User inquiry message]

[1393] Output: [Message sent to emotion recognition engine and generative AI]

[1394] Step 3:

[1395] The server sends a message to the emotion recognition engine. The emotion recognition engine analyzes the received message and identifies the user's emotion. The identified emotion is extracted as specific emotion data such as "stress" or "anxiety."

[1396] Input: [User inquiry message sent from the server]

[1397] Output: [Emotion data extracted by the emotion recognition engine]

[1398] Step 4:

[1399] The emotion data sent from the emotion recognition engine is received by the server and then sent to the generative AI, which comprehensively analyzes the emotion data and the original message and generates appropriate advice by referring to a database supervised by experts.

[1400] Input: [emotion data from emotion recognition engine, user query message]

[1401] Output: [Advice generated by generative artificial intelligence]

[1402] Step 5:

[1403] The server receives advice generated by the generative AI and sends it to the user's device via the LINE API.

[1404] Input: [Advice from generative artificial intelligence]

[1405] Output: [Advice message sent to user's terminal]

[1406] Step 6:

[1407] The user's device will display the advice received from the LINE API. Specifically, the following message will be displayed:

[1408] Input: [Advice message sent from server]

[1409] Output: ["Light exercise, relaxing hobbies, deep breathing, and meditation can all help relieve stress. It's also important to take regular breaks."]

[1410] In this way, the entire system is completed, and appropriate advice is provided through emotion recognition and generative artificial intelligence during the process of users discussing their concerns.

[1411] (Application example 2)

[1412] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1413] In recent years, there has been an increasing demand for online mental health care services as a way for working women to alleviate career and family worries. However, existing systems lack the functionality to provide appropriate advice and content that responds to the user's emotions and situation, resulting in a poor user experience. Furthermore, systems with emotion analysis capabilities are rare, making it difficult to automatically suggest specific responses to specific emotions such as stress, anxiety, and joy. Therefore, there is a need to resolve these issues and provide appropriate media content that responds to the user's emotions.

[1414] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting and sending a message using a user terminal, means for the server to receive a message from the user terminal and send it to the emotion engine, means for the emotion engine to analyze the message and generate emotion data, means for the server to send the generated emotion data to the generative artificial intelligence, means for the generative artificial intelligence to analyze the received message and emotion data and generate appropriate media content, and means for the server to receive content from the generative artificial intelligence and send it to the user terminal. This makes it possible to provide appropriate advice and media content according to the user's emotions and situation.

[1415] Definition of Terms

[1416] "User terminal" refers to a device for inputting and sending messages, including smartphones, tablets, smart glasses, etc.

[1417] The "server" is a central computer system that receives messages from user terminals and transmits them to the emotion engine and generative artificial intelligence.

[1418] An "emotion engine" is software or hardware that analyzes received messages, identifies a user's emotions (e.g., stress, anxiety, joy, etc.), and generates emotion data.

[1419] "Generative AI" refers to an AI model that analyzes received messages and emotional data and generates appropriate advice and media content.

[1420] "Content" refers to advice and media information (e.g., music, videos, articles, etc.) generated by generative artificial intelligence and sent to the user's device.

[1421] A "message" is a text or voice message that a user inputs using a user terminal and sends to a server.

[1422] "Emotion data" is data that represents the emotional state of the user, as determined by the emotion engine analyzing the message.

[1423] MODE FOR CARRYING OUT THE INVENTION

[1424] This invention is an online consultation system that combines an emotion engine to help working women solve their career and family worries, and in particular operates as a media content recommendation system.

[1425] Overview of the embodiment

[1426] This system consists of a user terminal, a server, an emotion engine, and generative AI. The specific operation of each component is explained below.

[1427] Input and send messages using user terminals

[1428] A user uses a user device such as a smartphone or smart glasses to input and send a message. For example, a user starts an application on their smartphone and inputs the following:

[1429] "I've been feeling stressed at work lately. How can I relax?"

[1430] Server receives message and sends it to emotion engine

[1431] The server receives the message sent from the user terminal, and the received message is sent to the emotion engine for analysis.

[1432] Analyzing user emotions with an emotion engine

[1433] The emotion engine (e.g., IBM Watson) analyzes the received message and identifies the user's emotion. For example, the emotion engine detects "stress" and provides the analysis results to the generative artificial intelligence.

[1434] Content generation using generative artificial intelligence

[1435] Generative AI (e.g., OpenAI GPT-4) generates optimal media content based on the emotional data received from the emotion engine and the user's message, for example, using the following prompt:

[1436] "The user is feeling stressed. Can you suggest some media content that will help them relax? Please provide a specific list and your reasons."

[1437] This allows the generative AI to suggest relaxing music playlists and inspirational articles.

[1438] Content provided by the server

[1439] The server receives the generated media content and sends it to the user's terminal, where the user can access the proposed content on their smartphone or smart glasses.

[1440] Privacy Protection

[1441] All communications are encrypted using SSL / TLS. In addition, users' personal information is stored in a secure database and data that is no longer needed is promptly deleted.

[1442] Specific examples

[1443] The user enters the following message into the application:

[1444] "I've had trouble sleeping lately, so I want to relax."

[1445] The server performs emotion analysis and identifies the emotion as "anxiety." After that, the generative AI provides the user with relaxing music and advice on regulating the autonomic nervous system.

[1446] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1447] Program processing steps

[1448] Step 1:

[1449] A user inputs and sends a message using a user terminal.

[1450] Input: The user inputs a "message" using a smartphone or smart glasses.

[1451] Output: The entered message is sent to the server via the LINE app or a dedicated app.

[1452] Specific operation: Open the app screen and enter the following:

[1453] "I've been feeling stressed at work lately. How can I relax?"

[1454] Step 2:

[1455] The server receives the message from the user terminal.

[1456] Input: A "message" sent from the user terminal arrives at the server.

[1457] Output: The received message is added to a processing queue in the server, ready to be sent to the emotion engine.

[1458] Specific behavior: The server receives the message using the LINE API and starts processing in the backend.

[1459] Step 3:

[1460] The server sends the message to the emotion engine for analysis.

[1461] Input: The "message" received by the server.

[1462] Output: "Emotion data" analyzed by the emotion engine.

[1463] What it does: Sends a message to an emotion engine (e.g., IBM Watson) to identify emotions such as stress, anxiety, or joy.

[1464] Step 4:

[1465] The emotion engine recognizes the user's emotions and generates emotion data.

[1466] Input: The "message" sent by the server.

[1467] Output: "Emotion data" as the analysis result.

[1468] What it does: The emotion engine performs text analysis to extract emotions such as "stress."

[1469] Step 5:

[1470] The server transmits the generated emotion data to the generative artificial intelligence.

[1471] Input: "Emotion data" received from the emotion engine.

[1472] Output: Emotion data and the original message are sent to the generative AI.

[1473] Specific operation: Send a request containing emotion data to a generative artificial intelligence (e.g., OpenAI GPT-4).

[1474] Step 6:

[1475] Generative AI analyzes the received message and emotional data and generates appropriate media content.

[1476] Input: Emotion data and original "message".

[1477] Output: The "media content" that best suits the user.

[1478] Specific operation: The generative AI analyzes and generates using the following prompt sentence:

[1479] "The user is feeling stressed. Can you suggest some media content that will help them relax? Please provide a specific list and your reasons."

[1480] Generated content includes relaxing music, videos, articles, and more.

[1481] Step 7:

[1482] The server receives content from the generative artificial intelligence and transmits it to the user's terminal.

[1483] Input: "Media content" received from a generative artificial intelligence.

[1484] Output: The "content" that is sent to the user's device.

[1485] Specific operation: The server sends the content to the user's device and displays it via the LINE API or a dedicated app.

[1486] Step 8:

[1487] The user checks the results on the user terminal.

[1488] Input: The "media content" received from the server.

[1489] Output: User viewing and consuming content.

[1490] What happens: The user views content displayed in an app or smart glasses and engages in relaxation and stress management techniques.

[1491] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1492] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1493] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1494] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1495] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1496] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1497] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1498] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1499] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1500] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1501] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1502] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1503] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1504] 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.

[1505] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1506] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1507] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1508] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1509] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1510] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1511] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1512] The following is further disclosed regarding the above embodiment.

[1513] (Claim 1)

[1514] means for inputting and sending messages using a user terminal;

[1515] A server receives a message from the user terminal and transmits it to the generative artificial intelligence;

[1516] means for the generative artificial intelligence to analyze the received message and generate advice based on an expert-curated database;

[1517] A means for the server to receive advice from the generative artificial intelligence and transmit it to the user terminal;

[1518] A system including:

[1519] (Claim 2)

[1520] 10. The system of claim 1, wherein the server includes means for encrypting communication data.

[1521] (Claim 3)

[1522] 10. The system of claim 1, wherein the server includes means for protecting personal information of users.

[1523] "Example 1"

[1524] (Claim 1)

[1525] A means for a user to input and transmit consultation details using a communication device;

[1526] A server receives messages from the users, formats them, and transfers them to the generative artificial intelligence;

[1527] means for the generative artificial intelligence to analyze the received message and generate advice based on an expert-curated database;

[1528] A means for the server to receive advice from the generative artificial intelligence and retransmit it to the user's communication device;

[1529] A system including:

[1530] (Claim 2)

[1531] 10. The system of claim 1, wherein the server includes means for encrypting communication data.

[1532] (Claim 3)

[1533] 10. The system of claim 1, wherein the server includes means for protecting personal information of users.

[1534] "Application Example 1"

[1535] (Claim 1)

[1536] means for inputting and sending messages using a user terminal;

[1537] A server receives a message from the user terminal and transmits it to the generative artificial intelligence;

[1538] means for the generative artificial intelligence to analyze the received message and generate advice based on an expert-curated database;

[1539] A means for the server to receive advice from the generative artificial intelligence and transmit it to the user terminal;

[1540] This includes a means to provide online consultation for concerns or questions regarding operations at brick-and-mortar stores.

[1541] The user terminal is used by staff of a physical store;

[1542] A system including:

[1543] (Claim 2)

[1544] 10. The system of claim 1, wherein the server includes means for encrypting communication data.

[1545] (Claim 3)

[1546] 10. The system of claim 1, wherein the server includes means for protecting personal information of users.

[1547] "Example 2: Combining Emotion Engines"

[1548] (Claim 1)

[1549] means for inputting and sending messages using a user terminal;

[1550] A server receives a message from the user terminal and transmits it to an emotion recognition engine and a generative artificial intelligence;

[1551] A means for analyzing the message received by the emotion recognition engine, extracting emotion data, and providing the emotion data to the generative artificial intelligence;

[1552] A means for the generative artificial intelligence to analyze the received message and emotion data and generate advice based on a database supervised by experts;

[1553] A means for the server to receive advice from the generative artificial intelligence and transmit it to the user terminal;

[1554] A system including:

[1555] (Claim 2)

[1556] 10. The system of claim 1, wherein the server includes means for encrypting communication data.

[1557] (Claim 3)

[1558] 10. The system of claim 1, wherein the server includes means for protecting personal information of users.

[1559] "Application example 2 when combining emotion engines"

[1560] (Claim 1)

[1561] means for inputting and sending messages using a user terminal;

[1562] A server receives a message from the user terminal and transmits it to an emotion engine;

[1563] a means for the emotion engine to analyze the message and generate emotion data;

[1564] A means for the server to transmit the generated emotion data to the generative artificial intelligence;

[1565] means for analyzing the message and emotion data received by the generative artificial intelligence and generating appropriate media content;

[1566] A means for the server to receive content from the generative artificial intelligence and transmit it to a user terminal;

[1567] A system including:

[1568] (Claim 2)

[1569] 10. The system of claim 1, wherein the server includes means for encrypting communication data.

[1570] (Claim 3)

[1571] 10. The system of claim 1, wherein the server includes means for protecting personal information of users. [Explanation of symbols]

[1572] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for inputting and sending messages using a user terminal; A server receives a message from the user terminal and transmits it to the generative artificial intelligence; means for the generative artificial intelligence to analyze the received message and generate advice based on an expert-curated database; A means for the server to receive advice from the generative artificial intelligence and transmit it to the user terminal; A system including:

2. 2. The system of claim 1, wherein the server includes means for encrypting communication data.

3. 2. The system of claim 1, wherein the server includes a means for protecting personal information of users.

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