system

Abstract

Provide a system. The method includes: receiving data from a user terminal via a communications network; A means for classifying and storing the received data; An artificial intelligence module that learns individual characteristics based on classified and saved data, means for receiving a query from a user via a communications network; means for generating a response to the received question using an artificial intelligence module; means for transmitting the generated response to a user terminal; A system including:

Description

[Technical Field]

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

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

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

[0004] In recent years, psychological support has become increasingly important when people lose a loved one. However, because they lose the opportunity to communicate with the deceased, it is difficult for them to recover from the loss. Furthermore, existing technologies have difficulty recreating the characteristics of the deceased, and there is a lack of means to provide users with a realistic experience of interacting with the deceased. For this reason, there is a need for technology that can learn the personality and response tendencies of the deceased and recreate conversations based on that. [Means for solving the problem]

[0005] The present invention provides a system including: means for receiving data from a user terminal via a communication network; means for classifying and saving the received data; an artificial intelligence module that learns individual characteristics based on the classified and saved data; means for receiving questions from the user via the communication network; means for generating responses to the received questions using the artificial intelligence module; and means for transmitting the generated responses to the user terminal. This system provides a realistic dialogue experience based on the characteristics of the deceased, allowing the user to virtually continue a dialogue with the deceased. Furthermore, by using natural language processing technology, speech recognition technology, and image recognition technology, the system reproduces the personality of the deceased with high accuracy, achieving a richer dialogue experience. Furthermore, by using speech synthesis technology to reproduce the voice of the deceased, the system provides an immersive experience, as if the user were actually conversing with the deceased.

[0006] A "user terminal" is a device operated by a user, including smartphones, tablets, PCs, etc.

[0007] A "communications network" is an infrastructure for transmitting and receiving data, and includes the Internet, a local area network (LAN), a mobile network, and the like.

[0008] "Data" refers to information entered into the system, such as LINE messages, audio data, and video data.

[0009] "Means of classification and storage" refers to the process and technology for organizing received data and storing it in appropriate folders or databases.

[0010] An "artificial intelligence module" is a component that combines technologies such as machine learning, natural language processing (NLP), voice recognition, and image recognition to learn features from data and generate responses.

[0011] The "means for receiving a question" is a system component for receiving a question or message from a user via a communication network.

[0012] "Means for generating a response" refers to the process and techniques for using an artificial intelligence module to generate an appropriate response to a received question.

[0013] A "means for sending a response" is a system component for sending a generated answer back to the user terminal.

[0014] "Natural language processing technology" is a general term for technology that understands, analyzes, and generates human language on a computer.

[0015] "Speech recognition technology" is a technology that converts voice data into text and analyzes it.

[0016] "Image recognition technology" is a technology that extracts and analyzes visual information from video data.

[0017] "Speech synthesis technology" is a technology for generating natural-sounding speech from text. [Brief explanation of the drawings]

[0018] [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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] The system of the present invention allows users to virtually recreate conversations with the deceased, and is composed of a user terminal, a server, and an artificial intelligence module. The system allows users to upload data related to the deceased, and the AI, which has learned the characteristics of the deceased, responds to questions from the user to recreate conversations with the deceased.

[0040] User Device

[0041] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data of the deceased through these terminals. Users can also use the chat screen to input and send questions and conversations to the deceased. Responses received from the system are displayed and played in text and audio format.

[0042] server

[0043] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module. Questions from users are also received through the server and forwarded to the AI ​​module. After a response is generated, the server sends it to the user's device.

[0044] Artificial Intelligence Module

[0045] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[0046] Specific examples

[0047] For example, if a user types "What are your hobbies these days?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching the plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played back in the deceased's voice using speech synthesis.

[0048] In this way, the system provides users with a means to virtually continue their dialogue with the deceased and can provide psychological support. Furthermore, by integrating various AI technologies to accurately recreate the personality of the deceased, the system offers a richer experience for users.

[0049] The processing flow will be explained below.

[0050] Step 1:

[0051] User device:

[0052] The user starts the application and logs in. After logging in, the user selects the data upload screen.

[0053] Step 2:

[0054] User device:

[0055] The user selects the LINE messages, audio data, and video data files of the deceased person and presses the upload button. The selected files are converted to the specified format.

[0056] Step 3:

[0057] server:

[0058] Receives data sent from the user's device. Temporarily stores the received data and sorts it into appropriate folders for each data type.

[0059] Step 4:

[0060] server:

[0061] Records data meta information (file name, type, size, etc.) in the database. Notifies the AI ​​module of the presence of new data regarding the saved data.

[0062] Step 5:

[0063] AI Module:

[0064] The AI ​​module receives notifications of new data and analyzes the data. For LINE messages, natural language processing technology is used to perform morphological analysis, voice data is converted into text using voice recognition technology, and video data is used to extract facial expressions and movement patterns using image recognition technology.

[0065] Step 6:

[0066] AI Module:

[0067] The analysis results are integrated to learn the unique characteristics of the deceased (such as their vocabulary and topical tendencies), and the learned model is updated to prepare for future response generation.

[0068] Step 7:

[0069] User device:

[0070] The user opens the chat screen, types a message, for example, "How are you doing lately?", and presses the send button.

[0071] Step 8:

[0072] server:

[0073] Receives messages from users, records them in the database, and forwards them to the AI ​​module.

[0074] Step 9:

[0075] AI Module:

[0076] The system analyzes received messages, extracts keywords to generate an appropriate response, and uses natural language generation technology to create the optimal response based on the characteristics of the deceased.

[0077] Step 10:

[0078] AI Module:

[0079] If necessary, the generated text is converted into audio data using speech synthesis technology, and an audio file is generated that reflects the characteristics of the deceased person's voice.

[0080] Step 11:

[0081] server:

[0082] The generated response (text and voice data) is sent to the user's device, and the meta information of the sent response is recorded in the database.

[0083] Step 12:

[0084] User device:

[0085] Receives the response from the server and displays it in a message window. If it contains audio data, displays a play button so the user can play the audio.

[0086] Through this step, the system allows users to virtually recreate a conversation with the deceased, providing a rich experience.

[0087] Example 1

[0088] 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."

[0089] Conventional systems have made it difficult for users to virtually recreate conversations with the deceased. Furthermore, they lacked the technology to accurately recreate the personality and characteristics of the deceased, resulting in low user satisfaction. Therefore, a system that allows users to feel a connection with the deceased is needed.

[0090] 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.

[0091] In this invention, the server includes means for receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module for learning individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for displaying and playing back the generated responses in text and audio format on the user terminal, thereby enabling the user to virtually re-enact conversations with the deceased and experience responses that recreate the deceased's personality.

[0092] A "user terminal" is a device used by a user, such as a smartphone, tablet, or personal computer.

[0093] "Communication network" refers to network infrastructure such as the Internet and wireless communications for exchanging data.

[0094] "Means for receiving data" refers to a function that allows the server to receive information sent from the user terminal.

[0095] "Means for classifying and storing data" refers to the function of analyzing received information, dividing it into different categories, and recording it.

[0096] "Artificial intelligence module" refers to algorithms or software that learns specific patterns or characteristics based on incoming data and generates responses.

[0097] "Data-based learning of individual characteristics" refers to the process of analyzing collected data to understand and memorize the habits and thought patterns of specific individuals contained in that data.

[0098] "Means for receiving questions" refers to the function of receiving inquiries from users.

[0099] The "means for generating a response" is a function that uses an artificial intelligence module to generate an appropriate response to a received question.

[0100] "Means for sending a response" refers to a function for transferring the generated answer to the user terminal.

[0101] "Means for displaying and playing in text and audio format" refers to the function of displaying responses as text information on a screen and playing them as audio data through a speaker or the like.

[0102] The system of the present invention allows users to virtually recreate conversations with the deceased, and is primarily composed of a user terminal, a server, and an artificial intelligence module. The system's function is to analyze and learn from data uploaded by users about the deceased, and generate conversations based on that data.

[0103] User Device

[0104] The user terminal includes devices such as smartphones, tablets, and personal computers, and provides a user interface. Users upload LINE messages, audio data, and video data of the deceased through this terminal. The terminal has the function of transmitting this data to the server. Users can also use the chat screen to input and send questions and conversation content for the deceased. Responses received from the system are displayed in text and audio format, and are also played back using voice synthesis.

[0105] server

[0106] The server has the function of receiving data sent from the user terminal and storing it on the cloud. The received data is first classified and stored in the appropriate folder. The stored data is then transferred to the artificial intelligence module. The server also receives questions from the user and sends them to the artificial intelligence module. The generated responses are sent to the user terminal via the server.

[0107] Artificial Intelligence Module

[0108] The AI ​​module is built on machine learning frameworks such as TENSORFLOW (registered trademark) and PyTorch. This module uses natural language processing (NLP), speech recognition, and image recognition technologies to learn the characteristics of the deceased based on the received data. For example, it models the deceased's conversation patterns, hobbies, and interests, and uses them to generate responses to user questions. Specifically, it analyzes collected LINE messages and voice data to understand the deceased's speaking style and interests, and uses this information to generate responses.

[0109] Specific examples

[0110] When a user types "What are your hobbies these days?" into the chat screen, this message is sent from the user's device to the server. The server receives this message and forwards it to an artificial intelligence module. The artificial intelligence module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching the plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[0111] This system provides users with a means to virtually continue their dialogue with the deceased, and can provide psychological support. It also integrates various AI technologies to accurately recreate the personality of the deceased, providing a richer experience for users.

[0112] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0113] Step 1:

[0114] Users use their devices to upload data related to the deceased. The input data includes information about the deceased, such as LINE messages, audio data, and video data. This data is first organized on the device and then sent to the server via a communication network.

[0115] Step 2:

[0116] The server receives data sent from the user's device and stores it in cloud storage. The input data is data related to the deceased sent from the device. This data is classified by approach and stored in the appropriate folder. As an output, metadata of the stored data is generated.

[0117] Step 3:

[0118] The server analyzes the stored data and transfers it to an AI module. The input is the deceased's data stored in cloud storage, which the server tags and organizes. The output is data converted into a format that the AI ​​module can process.

[0119] Step 4:

[0120] The artificial intelligence module uses natural language processing (NLP), speech recognition, and image recognition technologies to learn the characteristics of the deceased based on the received data. The input is data sent from the server. During this process, the AI ​​analyzes the deceased's speech pattern, hobbies, and interests and incorporates them into the model. The output is a trained feature model of the deceased.

[0121] Step 5:

[0122] The user uses the chat screen on the device to input questions for the deceased. The input data is a text message that the user inputs on the chat screen. This message is sent from the device to the server.

[0123] Step 6:

[0124] The server receives questions from users and forwards them to the artificial intelligence module. The input data is a text message from the user. The server converts it into an appropriate format so that the AI ​​module can process it. The output is the converted text data.

[0125] Step 7:

[0126] The artificial intelligence module generates responses to user questions. The input data is the user's question sent from the server. The AI ​​generates an appropriate response based on a feature model of the deceased. The output is the generated text and audio data.

[0127] Step 8:

[0128] The server receives the generated response and sends it to the user terminal. The input data is the response generated by the artificial intelligence module. The server sends this data to the user terminal. The output is the response data sent to the user terminal.

[0129] Step 9:

[0130] The user device displays and plays the received response in text and audio format. The input data is the response data sent from the server. The device displays this as text on the chat screen and plays it back using speech synthesis technology. The output is the response presented visually and audibly to the user.

[0131] (Application example 1)

[0132] 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."

[0133] In modern society, there is a need for a means for people to receive psychological support by virtually recreating conversations with their deceased loved ones. However, conventional methods have difficulty accurately recreating the personality of the deceased, and there is a lack of technology, particularly for conducting virtual conversations in real time. Therefore, it is necessary to develop technology that can provide a more realistic experience.

[0134] 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.

[0135] In this invention, the server includes means for receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module for learning individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for reproducing a virtual conversation in real time when the user terminal is a smart eyeglass or a head-mounted display, thereby enabling the user to replay a conversation with the deceased in real time with high accuracy.

[0136] "User terminal" means a device that is directly operated by a user, including a smartphone, tablet, PC, smart glasses, head-mounted display, etc.

[0137] A "communications network" is a means for transmitting and receiving data between devices, including the Internet and mobile networks.

[0138] "Means for receiving data" refers to the process for sending data from a user terminal to a server and receiving the data.

[0139] "Means for classifying and storing data" refers to the function of organizing received data according to specific criteria and storing it in appropriate storage.

[0140] An "artificial intelligence module" is a part of a computer program that performs machine learning based on received data and performs designated tasks.

[0141] The "means for receiving a question" is the process by which the server receives a question entered by a user and processes the question.

[0142] The "means for generating a response" is the process of using an artificial intelligence module to generate an appropriate response to a user's question.

[0143] The "means for sending a response" is a process for sending the generated response back to the user terminal.

[0144] "Means for reproducing virtual interactions in real time" refers to a function that allows users to experience fictional interactions in real time using smart glasses or a head-mounted display.

[0145] "Natural language processing technology" is a technology for analyzing and understanding text data, and is used by artificial intelligence modules to respond to user questions.

[0146] "Speech recognition technology" refers to the technology that converts voice data into text, and is used by the artificial intelligence module to analyze the user's voice input.

[0147] "Image recognition technology" is a technology that extracts specific features and patterns from image data and is used to classify data and model the characteristics of the deceased.

[0148] "Speech synthesis technology" is a technology that converts text data into speech and is used to reproduce responses in the voice of the deceased.

[0149] This invention relates to a system that allows a user to virtually recreate a conversation with a deceased person. The system is composed of a user terminal, a server, and an artificial intelligence module.

[0150] User Device

[0151] The user device is a device directly operated by the user, and includes smartphones, tablets, PCs, smart glasses, head-mounted displays, etc. The user uses it to upload LINE messages, audio data, and video data of the deceased. The user can also enter questions for the deceased through the chat screen or voice input and receive responses from the system.

[0152] server

[0153] The server is responsible for:

[0154] 1. Receive data from the user's device and store it in the cloud.

[0155] 2. Classify and store the received data and pass it on to the artificial intelligence module.

[0156] 3. Receives user questions and forwards them to the artificial intelligence module.

[0157] 4. Generate a response and send it to the user terminal.

[0158] Artificial Intelligence Module

[0159] The Artificial Intelligence module has the following functions:

[0160] 1. Use natural language processing, speech recognition, and image recognition technologies to learn individual characteristics based on the data received.

[0161] 2. Generate appropriate responses to user questions, provided in text and audio formats, and optionally played in the deceased person's voice.

[0162] System Operation

[0163] The virtual interactive living room experience begins when the user puts on the smart glasses or head-mounted display. The user inputs a question by voice or text, which is sent from the user's device to the server. The server forwards the question to an artificial intelligence module, which generates a response to the question. The response is sent back to the user's device in text and voice format and provided to the user through the smart glasses or head-mounted display. The deceased's image also appears as a hologram, recreating the virtual interaction in real time.

[0164] Specific examples

[0165] For example, if a user types, "What was your favorite movie?", this question is sent from the user's device to the server, which then forwards it to the artificial intelligence module. The artificial intelligence module references the deceased's past data and generates a response such as, "My favorite movie was 'The Shawshank Redemption.' It's a movie that taught me the importance of having hope." The response is sent to the user's device in the form of text and voice, and is displayed and played on the user's smart glasses or head-mounted display.

[0166] Prompt Sentence Examples

[0167] An example prompt is:

[0168] "Please answer the following question based on Takahashi's characteristics: What was your favorite movie?"

[0169] In this way, users can enjoy real-time dialogue with the deceased and receive psychological support.

[0170] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0171] Step 1:

[0172] When a user logs in, they upload data related to the deceased (LINE messages, audio data, video data) from their device (smart glasses or head-mounted display). This data is sent to the server via a communication network. The server classifies and stores the received data and passes it to an artificial intelligence module. The input to this step is the data related to the deceased provided by the user, and the output is the classified data stored on the server.

[0173] Step 2:

[0174] The server receives a question from a user terminal. The question is input in text or voice format. The input question is processed by the server and sent to the artificial intelligence module. The input is the text or voice data of the question by the user, and the output is the question data sent to the artificial intelligence module.

[0175] Step 3:

[0176] The AI ​​module generates responses to received questions based on existing data. During this process, it uses natural language processing technology to analyze text, speech recognition technology to convert voice data into text, and image recognition technology to extract features from video data. The input is the question data sent from the server and the stored data of the deceased, and the output is the generated response text data.

[0177] Step 4:

[0178] The generated response text data is converted into voice data using speech synthesis technology. In this step, a voice sample is used to reproduce the voice of the deceased. The input is the text response data provided by the artificial intelligence module, and the output is the voice response data.

[0179] Step 5:

[0180] The server sends the generated response text data and voice data to the user terminal, where the data is displayed and played back to the user through smart glasses or a head-mounted display. The input is the text data and voice data sent from the server, and the output is the text displayed on the user terminal and the voice played back.

[0181] Step 6:

[0182] The user terminal provides a virtual interaction function in real time, allowing the user to interact with the hologram of the deceased and continue asking questions in real time. The inputs for this step are the hologram generation data provided by the system and the real-time user questions, and the output is the user's visual and auditory interaction experience.

[0183] Through the above steps, the user can enjoy real-time conversation with the deceased.

[0184] 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.

[0185] The system of the present invention allows a user to virtually recreate a conversation with a deceased person, and is composed of a user terminal, a server, an artificial intelligence module, and an emotion engine. The system allows the user to upload data related to the deceased, and the AI ​​recognizes the characteristics of the deceased and the user's emotions and responds to questions from the user, thereby realistically recreating a conversation with the deceased.

[0186] User Device

[0187] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data of the deceased through these terminals. Users can also use the chat screen to input and send questions and conversations to the deceased. Responses received from the system are displayed and played in text and audio format.

[0188] server

[0189] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module and emotion engine. Questions from users are also received through the server and forwarded to the AI ​​module and emotion engine. After a response is generated, the server sends it to the user's device.

[0190] Artificial Intelligence Module

[0191] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[0192] Emotion Engine

[0193] The emotion engine has the ability to recognize user emotions. This engine analyzes user emotions from text data using natural language processing technology, from audio data using speech recognition technology, and from video data using image recognition technology. The emotional information analyzed by the emotion engine is used to adjust the tone and content of responses. Furthermore, the emotional information is stored in a database to help optimize the response generation process in the future.

[0194] Specific examples

[0195] For example, if a user types "How are you doing lately?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module and emotion engine. First, the emotion engine analyzes the emotion in the user's message, and the AI ​​module generates the optimal response based on that emotion information. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching my plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[0196] Through this system, users can virtually recreate conversations with their deceased loved ones and receive psychological support. By combining this with the emotion engine's emotion recognition function, a more personalized and richer conversation experience can be provided.

[0197] The processing flow will be explained below.

[0198] Step 1:

[0199] User device:

[0200] The user starts the application and logs in. After logging in, the user selects the data upload screen.

[0201] Step 2:

[0202] User device:

[0203] The user selects the LINE messages, audio data, and video data files of the deceased person and presses the upload button. The selected files are converted to the specified format.

[0204] Step 3:

[0205] server:

[0206] Receives data sent from the user's device. Temporarily stores the received data and sorts it into appropriate folders for each data type.

[0207] Step 4:

[0208] server:

[0209] Records data meta information (file name, type, size, etc.) in the database. Notifies the AI ​​module and emotion engine of the presence of new data regarding the stored data.

[0210] Step 5:

[0211] AI Module:

[0212] The AI ​​module receives notifications of new data and analyzes the data. For LINE messages, natural language processing technology is used to perform morphological analysis, voice data is converted into text using voice recognition technology, and video data is used to extract facial expressions and movement patterns using image recognition technology.

[0213] Step 6:

[0214] AI Module:

[0215] The analysis results are integrated to learn the unique characteristics of the deceased (such as their vocabulary and topical tendencies), and the learned model is updated to prepare for future response generation.

[0216] Step 7:

[0217] Emotion Engine:

[0218] The system recognizes the user's emotions from the received data. It uses natural language processing technology to analyze emotions from text data, speech recognition technology to analyze emotions from audio data, and image recognition technology to extract emotions from video data.

[0219] Step 8:

[0220] Emotion Engine:

[0221] Emotional information is generated based on the user's emotional state and recorded in a database. The accumulated emotional information is used to generate future responses.

[0222] Step 9:

[0223] User device:

[0224] The user opens the chat screen, types a message, for example, "How are you doing lately?", and presses the send button.

[0225] Step 10:

[0226] server:

[0227] Receives messages from users, records them in a database, and forwards them to the artificial intelligence module and emotion engine.

[0228] Step 11:

[0229] Emotion Engine:

[0230] It analyzes the user's emotions from the received message and shares the emotional information with the artificial intelligence module.

[0231] Step 12:

[0232] AI Module:

[0233] The system analyzes the received message while taking into account emotional information from the emotion engine, extracts keywords to generate an appropriate response, and uses natural language generation technology to create a reply based on the characteristics of the deceased.

[0234] Step 13:

[0235] AI Module:

[0236] If necessary, the generated text is converted into audio data using speech synthesis technology, and an audio file is generated that reflects the characteristics of the deceased person's voice.

[0237] Step 14:

[0238] server:

[0239] The generated response (text and voice data) is sent to the user's device, and the meta information of the sent response is recorded in the database.

[0240] Step 15:

[0241] User device:

[0242] Receives the response from the server and displays it in a message window. If it contains audio data, displays a play button so the user can play the audio.

[0243] Through this step, users can virtually recreate conversations with their deceased loved ones, providing a richer experience. Combined with the emotion engine's ability to recognize users' emotions, more personalized responses are possible, providing psychological support to users.

[0244] Example 2

[0245] 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."

[0246] Conventional virtual dialogue systems have had difficulty fully recognizing the user's emotions and generating responses accordingly. Furthermore, to realistically recreate a conversation with a deceased person, it is important to accurately model the deceased's characteristics, but this also poses technical challenges. As a result, users' conversations with the deceased tend to be perfunctory, and they are unable to receive sufficient psychological support.

[0247] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0248] In this invention, the server includes a means for receiving data from a user terminal via a communication network, a means for classifying and saving the received data, an artificial intelligence module that learns individual characteristics based on the classified and saved data, a means for receiving questions from the user via the communication network, a means for sending generated responses to the user terminal, and an emotion engine that analyzes the user's emotions using text data, voice data, and video data, and a means for adjusting the tone and content of the response using the analysis results of the emotion engine and reflecting them in the generation of the response. This makes it possible to generate personalized responses that are in line with the user's emotions and realistically recreate a conversation with the deceased.

[0249] "User terminal" refers to a device used by a user to operate the system, including smartphones, tablets, PCs, etc.

[0250] A "communications network" is an infrastructure for transmitting and receiving data, and includes the Internet and local area networks (LANs).

[0251] "Data" is information related to the deceased, including text data, audio data, and video data.

[0252] "Means for classification and storage" refers to the part of the system that has the function of appropriately classifying the received data and storing it in the cloud for later use.

[0253] The "artificial intelligence module" is a software module that learns individual characteristics based on classified and saved data and generates responses to questions from users.

[0254] The "means for receiving a question" is a part of the system that receives a question sent from a user via a communication network.

[0255] The "means for generating a response" is a part of the system that has the function of generating an appropriate response to a question posed by a user using an artificial intelligence module.

[0256] A "means for sending a response" is a part of the system that sends the generated response to the user terminal over a communications network.

[0257] The "emotion engine" is part of a system that uses text, audio, and video data to analyze a user's emotions and uses the results of that analysis to adjust the tone and content of responses.

[0258] "Natural language processing technology" is a technology for analyzing text data and understanding its meaning and context.

[0259] "Speech recognition technology" is a technology for converting voice data into text and recognizing its content.

[0260] "Image recognition technology" is a technology for detecting specific elements from video data and analyzing their content.

[0261] "Speech synthesis technology" is a technology for converting text data into voice and playing it back in a specific voice.

[0262] The system of the present invention allows a user to virtually recreate a conversation with a deceased loved one. The system is composed of a user terminal, a server, an artificial intelligence module, and an emotion engine.

[0263] User Device

[0264] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data related to the deceased through these terminals. Users can also use the chat screen to type and send questions and conversations to the deceased. Responses received from the system are displayed and played back in text and audio format.

[0265] server

[0266] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module and emotion engine. Questions from users are also received through the server and forwarded to the AI ​​module and emotion engine. After a response is generated, the server sends it to the user's device.

[0267] Artificial Intelligence Module

[0268] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[0269] Emotion Engine

[0270] The emotion engine has the ability to recognize user emotions. This engine analyzes user emotions from text data using natural language processing technology, from audio data using speech recognition technology, and from video data using image recognition technology. The emotional information analyzed by the emotion engine is used to adjust the tone and content of responses. Furthermore, the emotional information is stored in a database to help optimize the response generation process in the future.

[0271] Specific examples

[0272] For example, if a user types "How are you doing lately?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module and emotion engine. First, the emotion engine analyzes the emotion in the user's message, and the AI ​​module generates the optimal response based on that emotion information. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching my plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[0273] Prompt Sentence Examples

[0274] "How are you doing lately?"

[0275] "What are your hobbies these days?"

[0276] "What are you interested in right now?"

[0277] Through this system, users can virtually recreate conversations with their deceased loved ones and receive psychological support. By combining this with the emotion engine's emotion recognition function, a more personalized and richer conversation experience can be provided.

[0278] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0279] Divide the program processing flow into processing steps

[0280] Step 1: Upload your data

[0281] Step 2: Receiving and classifying data

[0282] Step 3: Emotion analysis using the emotion engine

[0283] Step 4: Feature learning by artificial intelligence module

[0284] Step 5: Receiving the question

[0285] Step 6: Generate a response

[0286] Step 7: Send and view the response

[0287] Specific explanation of each processing step

[0288] Step 1: Upload your data

[0289] The user uploads data.

[0290] Input: LINE messages, voice data, and video data from the user's device.

[0291] How it works: The user uses a device such as a smartphone, tablet, or PC to select data related to the deceased through a dedicated application or web interface and clicks the upload button.

[0292] Output: The uploaded data is sent to a server via a communication network.

[0293] Step 2: Receiving and classifying data

[0294] The server receives, categorizes, and stores the data.

[0295] Input: Data received via the communication network (LINE messages, voice data, video data).

[0296] Specific operation: The server stores the received data in a database and appropriately classifies it by the name of the deceased and the type of data.

[0297] Output: Classified and saved data is stored in the database.

[0298] Step 3: Emotion analysis using the emotion engine

[0299] The server analyzes emotions using an emotion engine.

[0300] Input: Classification and saved text data, audio data, video data.

[0301] Specific operation: The server transfers this data to the emotion engine, which analyzes the user's emotions using natural language processing, voice recognition, and image recognition technologies.

[0302] Output: The analyzed emotion information is generated.

[0303] Step 4: Feature learning by artificial intelligence module

[0304] The server uses an artificial intelligence module to learn the characteristics of the deceased.

[0305] Input: Classification and stored data and sentiment analysis results.

[0306] How it works: The server passes this data to an artificial intelligence module, which uses machine learning algorithms to model the speech patterns and interests of the deceased.

[0307] Output: Data is generated that models the characteristics of the deceased.

[0308] Step 5: Receiving the question

[0309] The server receives a query from the user.

[0310] Input: Query data sent from the user terminal via a communications network.

[0311] Specific operation: The server receives the question text from the user terminal and transfers it to the artificial intelligence module and emotion engine.

[0312] Output: The question data is passed to the emotion engine and artificial intelligence module.

[0313] Step 6: Generate a response

[0314] An artificial intelligence module generates responses to questions.

[0315] Input: Question data, data modeling the characteristics of the deceased, and sentiment analysis results.

[0316] How it works: The AI ​​module uses this data to generate responses that the deceased would likely give, and adjusts the tone and content of the responses based on the analysis of the emotion engine.

[0317] Output: The generated response is generated in text and audio formats.

[0318] Step 7: Send and view the response

[0319] The server sends the generated response to the user terminal, which then displays and plays the response.

[0320] Input: Generated response data (text and audio formats).

[0321] Specific operation: The server sends the generated response to the user terminal via the communication network, and the user terminal receives it and displays it as text on the chat screen, as well as playing it back as voice using voice synthesis technology.

[0322] Output: The response displayed and played on the user's device.

[0323] This series of processes allows users to have a realistic conversational experience with the deceased.

[0324] (Application example 2)

[0325] 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."

[0326] Conventional virtual dialogue systems have struggled to provide a realistic dialogue experience, especially for users who wish to converse with deceased loved ones. Furthermore, systems must be able to recognize the user's emotions and generate appropriate responses accordingly, providing a nuanced experience that makes it feel like a real conversation. Furthermore, it is becoming increasingly important to provide interactive experiences using virtual reality devices in brick-and-mortar stores.

[0327] The identification processing by the identification 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 receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module that learns individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for providing virtual interactions using a virtual reality device located in a physical store. This allows the user to experience a realistic interaction with the deceased via the virtual reality device in the physical store.

[0328] "User terminal" refers to an electronic device used by a user, including smartphones, tablets, PCs, etc.

[0329] A "communications network" is an infrastructure that allows electronic devices to exchange data with each other, and includes the Internet and local networks.

[0330] The "means for receiving data" is a function for obtaining information transmitted from a user terminal via a communication network.

[0331] "Means for classification and storage" refers to the function of analyzing received data, organizing it appropriately, and storing it in storage.

[0332] The "artificial intelligence module" is a program that performs machine learning based on received data, learns features, and generates responses.

[0333] The "means for receiving questions" is a function for receiving inquiries from users via a communication network.

[0334] The "means for generating a response" is a function that uses an artificial intelligence module to create an appropriate response to a question from a user.

[0335] The "means for sending a response" is a function for transmitting the generated response to the user terminal.

[0336] A "physical store" is a business establishment that actually exists and where customers can visit in person to receive services.

[0337] A "virtual reality device" is a hardware device that allows a user to experience a virtual environment, including a head-mounted display and smart glasses.

[0338] "Means for providing virtual interaction" refers to a function that enables interaction between a user and a virtual character using a virtual reality device.

[0339] Overall system overview

[0340] The system of the present invention consists of a user terminal, a server, an artificial intelligence module, and an emotion engine. Users can experience virtual interactions using virtual reality devices installed in physical stores. The main role of the system is to collect, analyze, and store data, and generate interactive dialogues with users.

[0341] User Device

[0342] The user terminals used are smartphones, tablets, PCs, etc. Users upload data about the deceased (e.g., audio data, video data, text messages, etc.) to the system via these devices. An interface is also provided for experiencing virtual interactions through a virtual reality device.

[0343] server

[0344] The server receives, classifies, and stores data sent from the user's device. This data is stored in the cloud and passed to the artificial intelligence module and emotion engine. The server also receives questions from users and forwards them to the artificial intelligence module and emotion engine. The server uses a generative AI model and natural language processing (NLP) technology to learn the characteristics of the deceased and generate responses for the user.

[0345] Artificial Intelligence Module

[0346] The artificial intelligence module uses machine learning to model the deceased's speech pattern, interests, and habits based on the data received from the user. This module uses natural language processing technologies, such as Hugging Face's "sentiment-analysis" pipeline and OpenAI's GPT-3 model, to generate optimal responses to the user's questions. It also provides the generated responses in audio format using speech synthesis technology.

[0347] Emotion Engine

[0348] The emotion engine analyzes the emotions in the user's input text or voice. This information is used to adjust the tone and content of the generated response. The emotion engine plays a key role in providing the most realistic interaction experience possible.

[0349] Examples of applications in physical stores

[0350] In brick-and-mortar stores, the system uses virtual reality devices to provide virtual interactions. For example, a user can visit a memorial shop, put on smart glasses, and engage in the following interactions:

[0351] Example prompt sentence:

[0352] User: "Mom, how are you doing?"

[0353] User sentiment from sentiment analysis results: "Nostalgia"

[0354] Example of a data model for a deceased person: "Her mother's hobby is gardening, and she often speaks Kansai dialect."

[0355] As a result, the user can experience the deceased responding in Kansai dialect through the virtual reality device, such as, "I've become obsessed with home gardening lately. I find it soothing to watch the plants grow little by little every day."

[0356] Software used and data processing

[0357] This system uses the following software and technologies:

[0358] Hugging Face's NLP pipeline: Analyzing user emotions using "sentiment-analysis".

[0359] OpenAI's GPT-3 model: Uses natural language processing to generate responses to user questions.

[0360] gTTS library: Converts generated text to speech.

[0361] Speech Recognition library: Converts user voice input into text.

[0362] This allows for a rich interactive experience, allowing users to virtually relive memories with their deceased loved ones and find emotional healing.

[0363] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0364] Step 1:

[0365] A user puts on a virtual reality device (e.g., smart glasses) installed in a physical store and inputs data about the deceased. This data can include audio, video, and text messages. For example, the user might ask through the smart glasses, "Mom, how are you doing?"

[0366] Input: The audio data spoken by the user.

[0367] Output: The user's voice data is recorded in digital form.

[0368] Step 2:

[0369] The server receives the user's voice data via a communication network and converts it into text data using speech recognition technology. The software used is the Speech Recognition library.

[0370] Input: User's voice data.

[0371] Output: The audio data is converted to text data.

[0372] Step 3:

[0373] The server sends the text data to the emotion engine for sentiment analysis, which uses Hugging Face's "sentiment-analysis" pipeline to analyze the user's emotions.

[0374] Input: Text data.

[0375] Output: The user's emotional state is analyzed and an emotion tag is assigned.

[0376] Step 4:

[0377] The server forwards the emotion tags and text data to an artificial intelligence module, which uses OpenAI's GPT-3 model to generate an appropriate response to the user's question. This is where the generative AI model comes into play.

[0378] Input: Text data and sentiment tags.

[0379] Output: A response message (in text format) is generated.

[0380] Step 5:

[0381] The server converts the generated response message into voice data using voice synthesis technology (gTTS library).

[0382] Input: Response message (in text format).

[0383] Output: The response message is converted into audio data.

[0384] Step 6:

[0385] The server transmits the generated voice data to a virtual reality device worn by the user via a communication network, and the user can hear the voice response through the virtual reality device.

[0386] Input: Audio data.

[0387] Output: The audio is played in the virtual reality device worn by the user.

[0388] Step 7:

[0389] Users can experience a virtual conversation with the deceased through a virtual reality device. Specifically, if the user asks, "Mom, how are you doing these days?", they can hear the response through the virtual reality device, "I've been into gardening lately. I find it soothing to watch the plants grow little by little every day."

[0390] Input: User's voice question and parsed emotional state.

[0391] Output: The user can realistically hear the deceased's responses through a virtual reality device.

[0392] These steps allow users to have a virtual conversation with the deceased person through a virtual reality device in a physical store.

[0393] 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.

[0394] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0395] 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.

[0396] [Second embodiment]

[0397] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0398] 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.

[0399] 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).

[0400] 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.

[0401] 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.

[0402] 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).

[0403] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0404] 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.

[0405] 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.

[0406] 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.

[0407] 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.

[0408] 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."

[0409] The system of the present invention allows users to virtually recreate conversations with the deceased, and is composed of a user terminal, a server, and an artificial intelligence module. The system allows users to upload data related to the deceased, and the AI, which has learned the characteristics of the deceased, responds to questions from the user to recreate conversations with the deceased.

[0410] User Device

[0411] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data of the deceased through these terminals. Users can also use the chat screen to input and send questions and conversations to the deceased. Responses received from the system are displayed and played in text and audio format.

[0412] server

[0413] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module. Questions from users are also received through the server and forwarded to the AI ​​module. After a response is generated, the server sends it to the user's device.

[0414] Artificial Intelligence Module

[0415] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[0416] Specific examples

[0417] For example, if a user types "What are your hobbies these days?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching the plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played back in the deceased's voice using speech synthesis.

[0418] In this way, the system provides users with a means to virtually continue their dialogue with the deceased and can provide psychological support. Furthermore, by integrating various AI technologies to accurately recreate the personality of the deceased, the system offers a richer experience for users.

[0419] The processing flow will be explained below.

[0420] Step 1:

[0421] User device:

[0422] The user starts the application and logs in. After logging in, the user selects the data upload screen.

[0423] Step 2:

[0424] User device:

[0425] The user selects the LINE messages, audio data, and video data files of the deceased person and presses the upload button. The selected files are converted to the specified format.

[0426] Step 3:

[0427] server:

[0428] Receives data sent from the user's device. Temporarily stores the received data and sorts it into appropriate folders for each data type.

[0429] Step 4:

[0430] server:

[0431] Records data meta information (file name, type, size, etc.) in the database. Notifies the AI ​​module of the presence of new data regarding the saved data.

[0432] Step 5:

[0433] AI Module:

[0434] The AI ​​module receives notifications of new data and analyzes the data. For LINE messages, natural language processing technology is used to perform morphological analysis, voice data is converted into text using voice recognition technology, and video data is used to extract facial expressions and movement patterns using image recognition technology.

[0435] Step 6:

[0436] AI Module:

[0437] The analysis results are integrated to learn the unique characteristics of the deceased (such as their vocabulary and topical tendencies), and the learned model is updated to prepare for future response generation.

[0438] Step 7:

[0439] User device:

[0440] The user opens the chat screen, types a message, for example, "How are you doing lately?", and presses the send button.

[0441] Step 8:

[0442] server:

[0443] Receives messages from users, records them in the database, and forwards them to the AI ​​module.

[0444] Step 9:

[0445] AI Module:

[0446] The system analyzes received messages, extracts keywords to generate an appropriate response, and uses natural language generation technology to create the optimal response based on the characteristics of the deceased.

[0447] Step 10:

[0448] AI Module:

[0449] If necessary, the generated text is converted into audio data using speech synthesis technology, and an audio file is generated that reflects the characteristics of the deceased person's voice.

[0450] Step 11:

[0451] server:

[0452] The generated response (text and voice data) is sent to the user's device, and the meta information of the sent response is recorded in the database.

[0453] Step 12:

[0454] User device:

[0455] Receives the response from the server and displays it in a message window. If it contains audio data, displays a play button so the user can play the audio.

[0456] Through this step, the system allows users to virtually recreate a conversation with the deceased, providing a rich experience.

[0457] Example 1

[0458] 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."

[0459] Conventional systems have made it difficult for users to virtually recreate conversations with the deceased. Furthermore, they lacked the technology to accurately recreate the personality and characteristics of the deceased, resulting in low user satisfaction. Therefore, a system that allows users to feel a connection with the deceased is needed.

[0460] 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.

[0461] In this invention, the server includes means for receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module for learning individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for displaying and playing back the generated responses in text and audio format on the user terminal, thereby enabling the user to virtually re-enact conversations with the deceased and experience responses that recreate the deceased's personality.

[0462] A "user terminal" is a device used by a user, such as a smartphone, tablet, or personal computer.

[0463] "Communication network" refers to network infrastructure such as the Internet and wireless communications for exchanging data.

[0464] "Means for receiving data" refers to a function that allows the server to receive information sent from the user terminal.

[0465] "Means for classifying and storing data" refers to the function of analyzing received information, dividing it into different categories, and recording it.

[0466] "Artificial intelligence module" refers to algorithms or software that learns specific patterns or characteristics based on incoming data and generates responses.

[0467] "Data-based learning of individual characteristics" refers to the process of analyzing collected data to understand and memorize the habits and thought patterns of specific individuals contained in that data.

[0468] "Means for receiving questions" refers to the function of receiving inquiries from users.

[0469] The "means for generating a response" is a function that uses an artificial intelligence module to generate an appropriate response to a received question.

[0470] "Means for sending a response" refers to a function for transferring the generated answer to the user terminal.

[0471] "Means for displaying and playing in text and audio format" refers to the function of displaying responses as text information on a screen and playing them as audio data through a speaker or the like.

[0472] The system of the present invention allows users to virtually recreate conversations with the deceased, and is primarily composed of a user terminal, a server, and an artificial intelligence module. The system's function is to analyze and learn from data uploaded by users about the deceased, and generate conversations based on that data.

[0473] User Device

[0474] The user terminal includes devices such as smartphones, tablets, and personal computers, and provides a user interface. Users upload LINE messages, audio data, and video data of the deceased through this terminal. The terminal has the function of transmitting this data to the server. Users can also use the chat screen to input and send questions and conversation content for the deceased. Responses received from the system are displayed in text and audio format, and are also played back using voice synthesis.

[0475] server

[0476] The server has the function of receiving data sent from the user terminal and storing it on the cloud. The received data is first classified and stored in the appropriate folder. The stored data is then transferred to the artificial intelligence module. The server also receives questions from the user and sends them to the artificial intelligence module. The generated responses are sent to the user terminal via the server.

[0477] Artificial Intelligence Module

[0478] The artificial intelligence module is built on machine learning frameworks such as TensorFlow and PyTorch. This module uses natural language processing (NLP), speech recognition, and image recognition technologies to learn the characteristics of the deceased based on the received data. For example, it models the deceased's conversation patterns, hobbies, and interests, and uses them to generate responses to user questions. Specifically, it analyzes collected LINE messages and voice data to understand the deceased's speaking style and interests, and uses this information to generate responses.

[0479] Specific examples

[0480] When a user types "What are your hobbies these days?" into the chat screen, this message is sent from the user's device to the server. The server receives this message and forwards it to an artificial intelligence module. The artificial intelligence module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching the plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[0481] This system provides users with a means to virtually continue their dialogue with the deceased, and can provide psychological support. It also integrates various AI technologies to accurately recreate the personality of the deceased, providing a richer experience for users.

[0482] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0483] Step 1:

[0484] Users use their devices to upload data related to the deceased. The input data includes information about the deceased, such as LINE messages, audio data, and video data. This data is first organized on the device and then sent to the server via a communication network.

[0485] Step 2:

[0486] The server receives data sent from the user's device and stores it in cloud storage. The input data is data related to the deceased sent from the device. This data is classified by approach and stored in the appropriate folder. As an output, metadata of the stored data is generated.

[0487] Step 3:

[0488] The server analyzes the stored data and transfers it to an AI module. The input is the deceased's data stored in cloud storage, which the server tags and organizes. The output is data converted into a format that the AI ​​module can process.

[0489] Step 4:

[0490] The artificial intelligence module uses natural language processing (NLP), speech recognition, and image recognition technologies to learn the characteristics of the deceased based on the received data. The input is data sent from the server. During this process, the AI ​​analyzes the deceased's speech pattern, hobbies, and interests and incorporates them into the model. The output is a trained feature model of the deceased.

[0491] Step 5:

[0492] The user uses the chat screen on the device to input questions for the deceased. The input data is a text message that the user inputs on the chat screen. This message is sent from the device to the server.

[0493] Step 6:

[0494] The server receives questions from users and forwards them to the artificial intelligence module. The input data is a text message from the user. The server converts it into an appropriate format so that the AI ​​module can process it. The output is the converted text data.

[0495] Step 7:

[0496] The artificial intelligence module generates responses to user questions. The input data is the user's question sent from the server. The AI ​​generates an appropriate response based on a feature model of the deceased. The output is the generated text and audio data.

[0497] Step 8:

[0498] The server receives the generated response and sends it to the user terminal. The input data is the response generated by the artificial intelligence module. The server sends this data to the user terminal. The output is the response data sent to the user terminal.

[0499] Step 9:

[0500] The user device displays and plays the received response in text and audio format. The input data is the response data sent from the server. The device displays this as text on the chat screen and plays it back using speech synthesis technology. The output is the response presented visually and audibly to the user.

[0501] (Application example 1)

[0502] 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."

[0503] In modern society, there is a need for a means for people to receive psychological support by virtually recreating conversations with their deceased loved ones. However, conventional methods have difficulty accurately recreating the personality of the deceased, and there is a lack of technology, particularly for conducting virtual conversations in real time. Therefore, it is necessary to develop technology that can provide a more realistic experience.

[0504] 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.

[0505] In this invention, the server includes means for receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module for learning individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for reproducing a virtual conversation in real time when the user terminal is a smart eyeglass or a head-mounted display, thereby enabling the user to replay a conversation with the deceased in real time with high accuracy.

[0506] "User terminal" means a device that is directly operated by a user, including a smartphone, tablet, PC, smart glasses, head-mounted display, etc.

[0507] A "communications network" is a means for transmitting and receiving data between devices, including the Internet and mobile networks.

[0508] "Means for receiving data" refers to the process for sending data from a user terminal to a server and receiving the data.

[0509] "Means for classifying and storing data" refers to the function of organizing received data according to specific criteria and storing it in appropriate storage.

[0510] An "artificial intelligence module" is a part of a computer program that performs machine learning based on received data and performs designated tasks.

[0511] The "means for receiving a question" is the process by which the server receives a question entered by a user and processes the question.

[0512] The "means for generating a response" is the process of using an artificial intelligence module to generate an appropriate response to a user's question.

[0513] The "means for sending a response" is a process for sending the generated response back to the user terminal.

[0514] "Means for reproducing virtual interactions in real time" refers to a function that allows users to experience fictional interactions in real time using smart glasses or a head-mounted display.

[0515] "Natural language processing technology" is a technology for analyzing and understanding text data, and is used by artificial intelligence modules to respond to user questions.

[0516] "Speech recognition technology" refers to the technology that converts voice data into text, and is used by the artificial intelligence module to analyze the user's voice input.

[0517] "Image recognition technology" is a technology that extracts specific features and patterns from image data and is used to classify data and model the characteristics of the deceased.

[0518] "Speech synthesis technology" is a technology that converts text data into speech and is used to reproduce responses in the voice of the deceased.

[0519] This invention relates to a system that allows a user to virtually recreate a conversation with a deceased person. The system is composed of a user terminal, a server, and an artificial intelligence module.

[0520] User Device

[0521] The user device is a device directly operated by the user, and includes smartphones, tablets, PCs, smart glasses, head-mounted displays, etc. The user uses it to upload LINE messages, audio data, and video data of the deceased. The user can also enter questions for the deceased through the chat screen or voice input and receive responses from the system.

[0522] server

[0523] The server is responsible for:

[0524] 1. Receive data from the user's device and store it in the cloud.

[0525] 2. Classify and store the received data and pass it on to the artificial intelligence module.

[0526] 3. Receives user questions and forwards them to the artificial intelligence module.

[0527] 4. Generate a response and send it to the user terminal.

[0528] Artificial Intelligence Module

[0529] The Artificial Intelligence module has the following functions:

[0530] 1. Use natural language processing, speech recognition, and image recognition technologies to learn individual characteristics based on the data received.

[0531] 2. Generate appropriate responses to user questions, provided in text and audio formats, and optionally played in the deceased person's voice.

[0532] System Operation

[0533] The virtual interactive living room experience begins when the user puts on the smart glasses or head-mounted display. The user inputs a question by voice or text, which is sent from the user's device to the server. The server forwards the question to an artificial intelligence module, which generates a response to the question. The response is sent back to the user's device in text and voice format and provided to the user through the smart glasses or head-mounted display. The deceased's image also appears as a hologram, recreating the virtual interaction in real time.

[0534] Specific examples

[0535] For example, if a user types, "What was your favorite movie?", this question is sent from the user's device to the server, which then forwards it to the artificial intelligence module. The artificial intelligence module references the deceased's past data and generates a response such as, "My favorite movie was 'The Shawshank Redemption.' It's a movie that taught me the importance of having hope." The response is sent to the user's device in the form of text and voice, and is displayed and played on the user's smart glasses or head-mounted display.

[0536] Prompt Sentence Examples

[0537] An example prompt is:

[0538] "Please answer the following question based on Takahashi's characteristics: What was your favorite movie?"

[0539] In this way, users can enjoy real-time dialogue with the deceased and receive psychological support.

[0540] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0541] Step 1:

[0542] When a user logs in, they upload data related to the deceased (LINE messages, audio data, video data) from their device (smart glasses or head-mounted display). This data is sent to the server via a communication network. The server classifies and stores the received data and passes it to an artificial intelligence module. The input to this step is the data related to the deceased provided by the user, and the output is the classified data stored on the server.

[0543] Step 2:

[0544] The server receives a question from a user terminal. The question is input in text or voice format. The input question is processed by the server and sent to the artificial intelligence module. The input is the text or voice data of the question by the user, and the output is the question data sent to the artificial intelligence module.

[0545] Step 3:

[0546] The AI ​​module generates responses to received questions based on existing data. During this process, it uses natural language processing technology to analyze text, speech recognition technology to convert voice data into text, and image recognition technology to extract features from video data. The input is the question data sent from the server and the stored data of the deceased, and the output is the generated response text data.

[0547] Step 4:

[0548] The generated response text data is converted into voice data using speech synthesis technology. In this step, a voice sample is used to reproduce the voice of the deceased. The input is the text response data provided by the artificial intelligence module, and the output is the voice response data.

[0549] Step 5:

[0550] The server sends the generated response text data and voice data to the user terminal, where the data is displayed and played back to the user through smart glasses or a head-mounted display. The input is the text data and voice data sent from the server, and the output is the text displayed on the user terminal and the voice played back.

[0551] Step 6:

[0552] The user terminal provides a virtual interaction function in real time, allowing the user to interact with the hologram of the deceased and continue asking questions in real time. The inputs for this step are the hologram generation data provided by the system and the real-time user questions, and the output is the user's visual and auditory interaction experience.

[0553] Through the above steps, the user can enjoy real-time conversation with the deceased.

[0554] 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.

[0555] The system of the present invention allows a user to virtually recreate a conversation with a deceased person, and is composed of a user terminal, a server, an artificial intelligence module, and an emotion engine. The system allows the user to upload data related to the deceased, and the AI ​​recognizes the characteristics of the deceased and the user's emotions and responds to questions from the user, thereby realistically recreating a conversation with the deceased.

[0556] User Device

[0557] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data of the deceased through these terminals. Users can also use the chat screen to input and send questions and conversations to the deceased. Responses received from the system are displayed and played in text and audio format.

[0558] server

[0559] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module and emotion engine. Questions from users are also received through the server and forwarded to the AI ​​module and emotion engine. After a response is generated, the server sends it to the user's device.

[0560] Artificial Intelligence Module

[0561] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[0562] Emotion Engine

[0563] The emotion engine has the ability to recognize user emotions. This engine analyzes user emotions from text data using natural language processing technology, from audio data using speech recognition technology, and from video data using image recognition technology. The emotional information analyzed by the emotion engine is used to adjust the tone and content of responses. Furthermore, the emotional information is stored in a database to help optimize the response generation process in the future.

[0564] Specific examples

[0565] For example, if a user types "How are you doing lately?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module and emotion engine. First, the emotion engine analyzes the emotion in the user's message, and the AI ​​module generates the optimal response based on that emotion information. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching my plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[0566] Through this system, users can virtually recreate conversations with their deceased loved ones and receive psychological support. By combining this with the emotion engine's emotion recognition function, a more personalized and richer conversation experience can be provided.

[0567] The processing flow will be explained below.

[0568] Step 1:

[0569] User device:

[0570] The user starts the application and logs in. After logging in, the user selects the data upload screen.

[0571] Step 2:

[0572] User device:

[0573] The user selects the LINE messages, audio data, and video data files of the deceased person and presses the upload button. The selected files are converted to the specified format.

[0574] Step 3:

[0575] server:

[0576] Receives data sent from the user's device. Temporarily stores the received data and sorts it into appropriate folders for each data type.

[0577] Step 4:

[0578] server:

[0579] Records data meta information (file name, type, size, etc.) in the database. Notifies the AI ​​module and emotion engine of the presence of new data regarding the stored data.

[0580] Step 5:

[0581] AI Module:

[0582] The AI ​​module receives notifications of new data and analyzes the data. For LINE messages, natural language processing technology is used to perform morphological analysis, voice data is converted into text using voice recognition technology, and video data is used to extract facial expressions and movement patterns using image recognition technology.

[0583] Step 6:

[0584] AI Module:

[0585] The analysis results are integrated to learn the unique characteristics of the deceased (such as their vocabulary and topical tendencies), and the learned model is updated to prepare for future response generation.

[0586] Step 7:

[0587] Emotion Engine:

[0588] The system recognizes the user's emotions from the received data. It uses natural language processing technology to analyze emotions from text data, speech recognition technology to analyze emotions from audio data, and image recognition technology to extract emotions from video data.

[0589] Step 8:

[0590] Emotion Engine:

[0591] Emotional information is generated based on the user's emotional state and recorded in a database. The accumulated emotional information is used to generate future responses.

[0592] Step 9:

[0593] User device:

[0594] The user opens the chat screen, types a message, for example, "How are you doing lately?", and presses the send button.

[0595] Step 10:

[0596] server:

[0597] Receives messages from users, records them in a database, and forwards them to the artificial intelligence module and emotion engine.

[0598] Step 11:

[0599] Emotion Engine:

[0600] It analyzes the user's emotions from the received message and shares the emotional information with the artificial intelligence module.

[0601] Step 12:

[0602] AI Module:

[0603] The system analyzes the received message while taking into account emotional information from the emotion engine, extracts keywords to generate an appropriate response, and uses natural language generation technology to create a reply based on the characteristics of the deceased.

[0604] Step 13:

[0605] AI Module:

[0606] If necessary, the generated text is converted into audio data using speech synthesis technology, and an audio file is generated that reflects the characteristics of the deceased person's voice.

[0607] Step 14:

[0608] server:

[0609] The generated response (text and voice data) is sent to the user's device, and the meta information of the sent response is recorded in the database.

[0610] Step 15:

[0611] User device:

[0612] Receives the response from the server and displays it in a message window. If it contains audio data, displays a play button so the user can play the audio.

[0613] Through this step, users can virtually recreate conversations with their deceased loved ones, providing a richer experience. Combined with the emotion engine's ability to recognize users' emotions, more personalized responses are possible, providing psychological support to users.

[0614] Example 2

[0615] 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."

[0616] Conventional virtual dialogue systems have had difficulty fully recognizing the user's emotions and generating responses accordingly. Furthermore, to realistically recreate a conversation with a deceased person, it is important to accurately model the deceased's characteristics, but this also poses technical challenges. As a result, users' conversations with the deceased tend to be perfunctory, and they are unable to receive sufficient psychological support.

[0617] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0618] In this invention, the server includes a means for receiving data from a user terminal via a communication network, a means for classifying and saving the received data, an artificial intelligence module that learns individual characteristics based on the classified and saved data, a means for receiving questions from the user via the communication network, a means for sending generated responses to the user terminal, and an emotion engine that analyzes the user's emotions using text data, voice data, and video data, and a means for adjusting the tone and content of the response using the analysis results of the emotion engine and reflecting them in the generation of the response. This makes it possible to generate personalized responses that are in line with the user's emotions and realistically recreate a conversation with the deceased.

[0619] "User terminal" refers to a device used by a user to operate the system, including smartphones, tablets, PCs, etc.

[0620] A "communications network" is an infrastructure for transmitting and receiving data, and includes the Internet and local area networks (LANs).

[0621] "Data" is information related to the deceased, including text data, audio data, and video data.

[0622] "Means for classification and storage" refers to the part of the system that has the function of appropriately classifying the received data and storing it in the cloud for later use.

[0623] The "artificial intelligence module" is a software module that learns individual characteristics based on classified and saved data and generates responses to questions from users.

[0624] The "means for receiving a question" is a part of the system that receives a question sent from a user via a communication network.

[0625] The "means for generating a response" is a part of the system that has the function of generating an appropriate response to a question posed by a user using an artificial intelligence module.

[0626] A "means for sending a response" is a part of the system that sends the generated response to the user terminal over a communications network.

[0627] The "emotion engine" is part of a system that uses text, audio, and video data to analyze a user's emotions and uses the results of that analysis to adjust the tone and content of responses.

[0628] "Natural language processing technology" is a technology for analyzing text data and understanding its meaning and context.

[0629] "Speech recognition technology" is a technology for converting voice data into text and recognizing its content.

[0630] "Image recognition technology" is a technology for detecting specific elements from video data and analyzing their content.

[0631] "Speech synthesis technology" is a technology for converting text data into voice and playing it back in a specific voice.

[0632] The system of the present invention allows a user to virtually recreate a conversation with a deceased loved one. The system is composed of a user terminal, a server, an artificial intelligence module, and an emotion engine.

[0633] User Device

[0634] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data related to the deceased through these terminals. Users can also use the chat screen to type and send questions and conversations to the deceased. Responses received from the system are displayed and played back in text and audio format.

[0635] server

[0636] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module and emotion engine. Questions from users are also received through the server and forwarded to the AI ​​module and emotion engine. After a response is generated, the server sends it to the user's device.

[0637] Artificial Intelligence Module

[0638] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[0639] Emotion Engine

[0640] The emotion engine has the ability to recognize user emotions. This engine analyzes user emotions from text data using natural language processing technology, from audio data using speech recognition technology, and from video data using image recognition technology. The emotional information analyzed by the emotion engine is used to adjust the tone and content of responses. Furthermore, the emotional information is stored in a database to help optimize the response generation process in the future.

[0641] Specific examples

[0642] For example, if a user types "How are you doing lately?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module and emotion engine. First, the emotion engine analyzes the emotion in the user's message, and the AI ​​module generates the optimal response based on that emotion information. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching my plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[0643] Prompt Sentence Examples

[0644] "How are you doing lately?"

[0645] "What are your hobbies these days?"

[0646] "What are you interested in right now?"

[0647] Through this system, users can virtually recreate conversations with their deceased loved ones and receive psychological support. By combining this with the emotion engine's emotion recognition function, a more personalized and richer conversation experience can be provided.

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

[0649] Divide the program processing flow into processing steps

[0650] Step 1: Upload your data

[0651] Step 2: Receiving and classifying data

[0652] Step 3: Emotion analysis using the emotion engine

[0653] Step 4: Feature learning by artificial intelligence module

[0654] Step 5: Receiving the question

[0655] Step 6: Generate a response

[0656] Step 7: Send and view the response

[0657] Specific explanation of each processing step

[0658] Step 1: Upload your data

[0659] The user uploads data.

[0660] Input: LINE messages, voice data, and video data from the user's device.

[0661] How it works: The user uses a device such as a smartphone, tablet, or PC to select data related to the deceased through a dedicated application or web interface and clicks the upload button.

[0662] Output: The uploaded data is sent to a server via a communication network.

[0663] Step 2: Receiving and classifying data

[0664] The server receives, categorizes, and stores the data.

[0665] Input: Data received via the communication network (LINE messages, voice data, video data).

[0666] Specific operation: The server stores the received data in a database and appropriately classifies it by the name of the deceased and the type of data.

[0667] Output: Classified and saved data is stored in the database.

[0668] Step 3: Emotion analysis using the emotion engine

[0669] The server analyzes emotions using an emotion engine.

[0670] Input: Classification and saved text data, audio data, video data.

[0671] Specific operation: The server transfers this data to the emotion engine, which analyzes the user's emotions using natural language processing, voice recognition, and image recognition technologies.

[0672] Output: The analyzed emotion information is generated.

[0673] Step 4: Feature learning by artificial intelligence module

[0674] The server uses an artificial intelligence module to learn the characteristics of the deceased.

[0675] Input: Classification and stored data and sentiment analysis results.

[0676] How it works: The server passes this data to an artificial intelligence module, which uses machine learning algorithms to model the speech patterns and interests of the deceased.

[0677] Output: Data is generated that models the characteristics of the deceased.

[0678] Step 5: Receiving the question

[0679] The server receives a query from the user.

[0680] Input: Query data sent from the user terminal via a communications network.

[0681] Specific operation: The server receives the question text from the user terminal and transfers it to the artificial intelligence module and emotion engine.

[0682] Output: The question data is passed to the emotion engine and artificial intelligence module.

[0683] Step 6: Generate a response

[0684] An artificial intelligence module generates responses to questions.

[0685] Input: Question data, data modeling the characteristics of the deceased, and sentiment analysis results.

[0686] How it works: The AI ​​module uses this data to generate responses that the deceased would likely give, and adjusts the tone and content of the responses based on the analysis of the emotion engine.

[0687] Output: The generated response is generated in text and audio formats.

[0688] Step 7: Send and view the response

[0689] The server sends the generated response to the user terminal, which then displays and plays the response.

[0690] Input: Generated response data (text and audio formats).

[0691] Specific operation: The server sends the generated response to the user terminal via the communication network, and the user terminal receives it and displays it as text on the chat screen, as well as playing it back as voice using voice synthesis technology.

[0692] Output: The response displayed and played on the user's device.

[0693] This series of processes allows users to have a realistic conversational experience with the deceased.

[0694] (Application example 2)

[0695] 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."

[0696] Conventional virtual dialogue systems have struggled to provide a realistic dialogue experience, especially for users who wish to converse with deceased loved ones. Furthermore, systems must be able to recognize the user's emotions and generate appropriate responses accordingly, providing a nuanced experience that makes it feel like a real conversation. Furthermore, it is becoming increasingly important to provide interactive experiences using virtual reality devices in brick-and-mortar stores.

[0697] The identification processing by the identification 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 receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module that learns individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for providing virtual interactions using a virtual reality device located in a physical store. This allows the user to experience a realistic interaction with the deceased via the virtual reality device in the physical store.

[0698] "User terminal" refers to an electronic device used by a user, including smartphones, tablets, PCs, etc.

[0699] A "communications network" is an infrastructure that allows electronic devices to exchange data with each other, and includes the Internet and local networks.

[0700] The "means for receiving data" is a function for obtaining information transmitted from a user terminal via a communication network.

[0701] "Means for classification and storage" refers to the function of analyzing received data, organizing it appropriately, and storing it in storage.

[0702] The "artificial intelligence module" is a program that performs machine learning based on received data, learns features, and generates responses.

[0703] The "means for receiving questions" is a function for receiving inquiries from users via a communication network.

[0704] The "means for generating a response" is a function that uses an artificial intelligence module to create an appropriate response to a question from a user.

[0705] The "means for sending a response" is a function for transmitting the generated response to the user terminal.

[0706] A "physical store" is a business establishment that actually exists and where customers can visit in person to receive services.

[0707] A "virtual reality device" is a hardware device that allows a user to experience a virtual environment, including a head-mounted display and smart glasses.

[0708] "Means for providing virtual interaction" refers to a function that enables interaction between a user and a virtual character using a virtual reality device.

[0709] Overall system overview

[0710] The system of the present invention consists of a user terminal, a server, an artificial intelligence module, and an emotion engine. Users can experience virtual interactions using virtual reality devices installed in physical stores. The main role of the system is to collect, analyze, and store data, and generate interactive dialogues with users.

[0711] User Device

[0712] The user terminals used are smartphones, tablets, PCs, etc. Users upload data about the deceased (e.g., audio data, video data, text messages, etc.) to the system via these devices. An interface is also provided for experiencing virtual interactions through a virtual reality device.

[0713] server

[0714] The server receives, classifies, and stores data sent from the user's device. This data is stored in the cloud and passed to the artificial intelligence module and emotion engine. The server also receives questions from users and forwards them to the artificial intelligence module and emotion engine. The server uses a generative AI model and natural language processing (NLP) technology to learn the characteristics of the deceased and generate responses for the user.

[0715] Artificial Intelligence Module

[0716] The artificial intelligence module uses machine learning to model the deceased's speech pattern, interests, and habits based on the data received from the user. This module uses natural language processing technologies, such as Hugging Face's "sentiment-analysis" pipeline and OpenAI's GPT-3 model, to generate optimal responses to the user's questions. It also uses speech synthesis technology to provide the generated responses in audio format.

[0717] Emotion Engine

[0718] The emotion engine analyzes the emotions in the user's input text or voice. This information is used to adjust the tone and content of the generated response. The emotion engine plays a key role in providing the most realistic interaction experience possible.

[0719] Examples of applications in physical stores

[0720] In brick-and-mortar stores, the system uses virtual reality devices to provide virtual interactions. For example, a user can visit a memorial shop, put on smart glasses, and engage in the following interactions:

[0721] Example prompt sentence:

[0722] User: "Mom, how are you doing?"

[0723] User sentiment from sentiment analysis results: "Nostalgia"

[0724] Example of a data model for a deceased person: "Her mother's hobby is gardening, and she often speaks Kansai dialect."

[0725] As a result, the user can experience the deceased responding in Kansai dialect through the virtual reality device, such as, "I've become obsessed with home gardening lately. I find it soothing to watch the plants grow little by little every day."

[0726] Software used and data processing

[0727] This system uses the following software and technologies:

[0728] Hugging Face's NLP pipeline: Analyzing user emotions using "sentiment-analysis".

[0729] OpenAI's GPT-3 model: Uses natural language processing to generate responses to user questions.

[0730] gTTS library: Converts generated text to speech.

[0731] Speech Recognition library: Converts user voice input into text.

[0732] This allows for a rich interactive experience, allowing users to virtually relive memories with their deceased loved ones and find emotional healing.

[0733] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0734] Step 1:

[0735] A user puts on a virtual reality device (e.g., smart glasses) installed in a physical store and inputs data about the deceased. This data can include audio, video, and text messages. For example, the user might ask through the smart glasses, "Mom, how are you doing?"

[0736] Input: The audio data spoken by the user.

[0737] Output: The user's voice data is recorded in digital form.

[0738] Step 2:

[0739] The server receives the user's voice data via a communication network and converts it into text data using speech recognition technology. The software used is the Speech Recognition library.

[0740] Input: User's voice data.

[0741] Output: The audio data is converted to text data.

[0742] Step 3:

[0743] The server sends the text data to the emotion engine for sentiment analysis, which uses Hugging Face's "sentiment-analysis" pipeline to analyze the user's emotions.

[0744] Input: Text data.

[0745] Output: The user's emotional state is analyzed and an emotion tag is assigned.

[0746] Step 4:

[0747] The server forwards the emotion tags and text data to an artificial intelligence module, which uses OpenAI's GPT-3 model to generate an appropriate response to the user's question. This is where the generative AI model comes into play.

[0748] Input: Text data and sentiment tags.

[0749] Output: A response message (in text format) is generated.

[0750] Step 5:

[0751] The server converts the generated response message into voice data using voice synthesis technology (gTTS library).

[0752] Input: Response message (in text format).

[0753] Output: The response message is converted into audio data.

[0754] Step 6:

[0755] The server transmits the generated voice data to a virtual reality device worn by the user via a communication network, and the user can hear the voice response through the virtual reality device.

[0756] Input: Audio data.

[0757] Output: The audio is played in the virtual reality device worn by the user.

[0758] Step 7:

[0759] Users can experience a virtual conversation with the deceased through a virtual reality device. Specifically, if the user asks, "Mom, how are you doing these days?", they can hear the response through the virtual reality device, "I've been into gardening lately. I find it soothing to watch the plants grow little by little every day."

[0760] Input: User's voice question and parsed emotional state.

[0761] Output: The user can realistically hear the deceased's responses through a virtual reality device.

[0762] These steps allow users to have a virtual conversation with the deceased person through a virtual reality device in a physical store.

[0763] 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.

[0764] 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.

[0765] 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.

[0766] [Third embodiment]

[0767] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0768] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0769] 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).

[0770] 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.

[0771] 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.

[0772] 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).

[0773] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] 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.

[0778] 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."

[0779] The system of the present invention allows users to virtually recreate conversations with the deceased, and is composed of a user terminal, a server, and an artificial intelligence module. The system allows users to upload data related to the deceased, and the AI, which has learned the characteristics of the deceased, responds to questions from the user to recreate conversations with the deceased.

[0780] User Device

[0781] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data of the deceased through these terminals. Users can also use the chat screen to input and send questions and conversations to the deceased. Responses received from the system are displayed and played in text and audio format.

[0782] server

[0783] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module. Questions from users are also received through the server and forwarded to the AI ​​module. After a response is generated, the server sends it to the user's device.

[0784] Artificial Intelligence Module

[0785] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[0786] Specific examples

[0787] For example, if a user types "What are your hobbies these days?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching the plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played back in the deceased's voice using speech synthesis.

[0788] In this way, the system provides users with a means to virtually continue their dialogue with the deceased and can provide psychological support. Furthermore, by integrating various AI technologies to accurately recreate the personality of the deceased, the system offers a richer experience for users.

[0789] The processing flow will be explained below.

[0790] Step 1:

[0791] User device:

[0792] The user starts the application and logs in. After logging in, the user selects the data upload screen.

[0793] Step 2:

[0794] User device:

[0795] The user selects the LINE messages, audio data, and video data files of the deceased person and presses the upload button. The selected files are converted to the specified format.

[0796] Step 3:

[0797] server:

[0798] Receives data sent from the user's device. Temporarily stores the received data and sorts it into appropriate folders for each data type.

[0799] Step 4:

[0800] server:

[0801] Records data meta information (file name, type, size, etc.) in the database. Notifies the AI ​​module of the presence of new data regarding the saved data.

[0802] Step 5:

[0803] AI Module:

[0804] The AI ​​module receives notifications of new data and analyzes the data. For LINE messages, natural language processing technology is used to perform morphological analysis, voice data is converted into text using voice recognition technology, and video data is used to extract facial expressions and movement patterns using image recognition technology.

[0805] Step 6:

[0806] AI Module:

[0807] The analysis results are integrated to learn the unique characteristics of the deceased (such as their vocabulary and topical tendencies), and the learned model is updated to prepare for future response generation.

[0808] Step 7:

[0809] User device:

[0810] The user opens the chat screen, types a message, for example, "How are you doing lately?", and presses the send button.

[0811] Step 8:

[0812] server:

[0813] Receives messages from users, records them in the database, and forwards them to the AI ​​module.

[0814] Step 9:

[0815] AI Module:

[0816] The system analyzes received messages, extracts keywords to generate an appropriate response, and uses natural language generation technology to create the optimal response based on the characteristics of the deceased.

[0817] Step 10:

[0818] AI Module:

[0819] If necessary, the generated text is converted into audio data using speech synthesis technology, and an audio file is generated that reflects the characteristics of the deceased person's voice.

[0820] Step 11:

[0821] server:

[0822] The generated response (text and voice data) is sent to the user's device, and the meta information of the sent response is recorded in the database.

[0823] Step 12:

[0824] User device:

[0825] Receives the response from the server and displays it in a message window. If it contains audio data, displays a play button so the user can play the audio.

[0826] Through this step, the system allows users to virtually recreate a conversation with the deceased, providing a rich experience.

[0827] Example 1

[0828] 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."

[0829] Conventional systems have made it difficult for users to virtually recreate conversations with the deceased. Furthermore, they lacked the technology to accurately recreate the personality and characteristics of the deceased, resulting in low user satisfaction. Therefore, a system that allows users to feel a connection with the deceased is needed.

[0830] 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.

[0831] In this invention, the server includes means for receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module for learning individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for displaying and playing back the generated responses in text and audio format on the user terminal, thereby enabling the user to virtually re-enact conversations with the deceased and experience responses that recreate the deceased's personality.

[0832] A "user terminal" is a device used by a user, such as a smartphone, tablet, or personal computer.

[0833] "Communication network" refers to network infrastructure such as the Internet and wireless communications for exchanging data.

[0834] "Means for receiving data" refers to a function that allows the server to receive information sent from the user terminal.

[0835] "Means for classifying and storing data" refers to the function of analyzing received information, dividing it into different categories, and recording it.

[0836] "Artificial intelligence module" refers to algorithms or software that learns specific patterns or characteristics based on incoming data and generates responses.

[0837] "Data-based learning of individual characteristics" refers to the process of analyzing collected data to understand and memorize the habits and thought patterns of specific individuals contained in that data.

[0838] "Means for receiving questions" refers to the function of receiving inquiries from users.

[0839] The "means for generating a response" is a function that uses an artificial intelligence module to generate an appropriate response to a received question.

[0840] "Means for sending a response" refers to a function for transferring the generated answer to the user terminal.

[0841] "Means for displaying and playing in text and audio format" refers to the function of displaying responses as text information on a screen and playing them as audio data through a speaker or the like.

[0842] The system of the present invention allows users to virtually recreate conversations with the deceased, and is primarily composed of a user terminal, a server, and an artificial intelligence module. The system's function is to analyze and learn from data uploaded by users about the deceased, and generate conversations based on that data.

[0843] User Device

[0844] The user terminal includes devices such as smartphones, tablets, and personal computers, and provides a user interface. Users upload LINE messages, audio data, and video data of the deceased through this terminal. The terminal has the function of transmitting this data to the server. Users can also use the chat screen to input and send questions and conversation content for the deceased. Responses received from the system are displayed in text and audio format, and are also played back using voice synthesis.

[0845] server

[0846] The server has the function of receiving data sent from the user terminal and storing it on the cloud. The received data is first classified and stored in the appropriate folder. The stored data is then transferred to the artificial intelligence module. The server also receives questions from the user and sends them to the artificial intelligence module. The generated responses are sent to the user terminal via the server.

[0847] Artificial Intelligence Module

[0848] The artificial intelligence module is built on machine learning frameworks such as TensorFlow and PyTorch. This module uses natural language processing (NLP), speech recognition, and image recognition technologies to learn the characteristics of the deceased based on the received data. For example, it models the deceased's conversation patterns, hobbies, and interests, and uses them to generate responses to user questions. Specifically, it analyzes collected LINE messages and voice data to understand the deceased's speaking style and interests, and uses this information to generate responses.

[0849] Specific examples

[0850] When a user types "What are your hobbies these days?" into the chat screen, this message is sent from the user's device to the server. The server receives this message and forwards it to an artificial intelligence module. The artificial intelligence module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching the plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[0851] This system provides users with a means to virtually continue their dialogue with the deceased, and can provide psychological support. It also integrates various AI technologies to accurately recreate the personality of the deceased, providing a richer experience for users.

[0852] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0853] Step 1:

[0854] Users use their devices to upload data related to the deceased. The input data includes information about the deceased, such as LINE messages, audio data, and video data. This data is first organized on the device and then sent to the server via a communication network.

[0855] Step 2:

[0856] The server receives data sent from the user's device and stores it in cloud storage. The input data is data related to the deceased sent from the device. This data is classified by approach and stored in the appropriate folder. As an output, metadata of the stored data is generated.

[0857] Step 3:

[0858] The server analyzes the stored data and transfers it to an AI module. The input is the deceased's data stored in cloud storage, which the server tags and organizes. The output is data converted into a format that the AI ​​module can process.

[0859] Step 4:

[0860] The artificial intelligence module uses natural language processing (NLP), speech recognition, and image recognition technologies to learn the characteristics of the deceased based on the received data. The input is data sent from the server. During this process, the AI ​​analyzes the deceased's speech pattern, hobbies, and interests and incorporates them into the model. The output is a trained feature model of the deceased.

[0861] Step 5:

[0862] The user uses the chat screen on the device to input questions for the deceased. The input data is a text message that the user inputs on the chat screen. This message is sent from the device to the server.

[0863] Step 6:

[0864] The server receives questions from users and forwards them to the artificial intelligence module. The input data is a text message from the user. The server converts it into an appropriate format so that the AI ​​module can process it. The output is the converted text data.

[0865] Step 7:

[0866] The artificial intelligence module generates responses to user questions. The input data is the user's question sent from the server. The AI ​​generates an appropriate response based on a feature model of the deceased. The output is the generated text and audio data.

[0867] Step 8:

[0868] The server receives the generated response and sends it to the user terminal. The input data is the response generated by the artificial intelligence module. The server sends this data to the user terminal. The output is the response data sent to the user terminal.

[0869] Step 9:

[0870] The user device displays and plays the received response in text and audio format. The input data is the response data sent from the server. The device displays this as text on the chat screen and plays it back using speech synthesis technology. The output is the response presented visually and audibly to the user.

[0871] (Application example 1)

[0872] 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."

[0873] In modern society, there is a need for a means for people to receive psychological support by virtually recreating conversations with their deceased loved ones. However, conventional methods have difficulty accurately recreating the personality of the deceased, and there is a lack of technology, particularly for conducting virtual conversations in real time. Therefore, it is necessary to develop technology that can provide a more realistic experience.

[0874] 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.

[0875] In this invention, the server includes means for receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module for learning individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for reproducing a virtual conversation in real time when the user terminal is a smart eyeglass or a head-mounted display, thereby enabling the user to replay a conversation with the deceased in real time with high accuracy.

[0876] "User terminal" means a device that is directly operated by a user, including a smartphone, tablet, PC, smart glasses, head-mounted display, etc.

[0877] A "communications network" is a means for transmitting and receiving data between devices, including the Internet and mobile networks.

[0878] "Means for receiving data" refers to the process for sending data from a user terminal to a server and receiving the data.

[0879] "Means for classifying and storing data" refers to the function of organizing received data according to specific criteria and storing it in appropriate storage.

[0880] An "artificial intelligence module" is a part of a computer program that performs machine learning based on received data and performs designated tasks.

[0881] The "means for receiving a question" is the process by which the server receives a question entered by a user and processes the question.

[0882] The "means for generating a response" is the process of using an artificial intelligence module to generate an appropriate response to a user's question.

[0883] The "means for sending a response" is a process for sending the generated response back to the user terminal.

[0884] "Means for reproducing virtual interactions in real time" refers to a function that allows users to experience fictional interactions in real time using smart glasses or a head-mounted display.

[0885] "Natural language processing technology" is a technology for analyzing and understanding text data, and is used by artificial intelligence modules to respond to user questions.

[0886] "Speech recognition technology" refers to the technology that converts voice data into text, and is used by the artificial intelligence module to analyze the user's voice input.

[0887] "Image recognition technology" is a technology that extracts specific features and patterns from image data and is used to classify data and model the characteristics of the deceased.

[0888] "Speech synthesis technology" is a technology that converts text data into speech and is used to reproduce responses in the voice of the deceased.

[0889] This invention relates to a system that allows a user to virtually recreate a conversation with a deceased person. The system is composed of a user terminal, a server, and an artificial intelligence module.

[0890] User Device

[0891] The user device is a device directly operated by the user, and includes smartphones, tablets, PCs, smart glasses, head-mounted displays, etc. The user uses it to upload LINE messages, audio data, and video data of the deceased. The user can also enter questions for the deceased through the chat screen or voice input and receive responses from the system.

[0892] server

[0893] The server is responsible for:

[0894] 1. Receive data from the user's device and store it in the cloud.

[0895] 2. Classify and store the received data and pass it on to the artificial intelligence module.

[0896] 3. Receives user questions and forwards them to the artificial intelligence module.

[0897] 4. Generate a response and send it to the user terminal.

[0898] Artificial Intelligence Module

[0899] The Artificial Intelligence module has the following functions:

[0900] 1. Use natural language processing, speech recognition, and image recognition technologies to learn individual characteristics based on the data received.

[0901] 2. Generate appropriate responses to user questions, provided in text and audio formats, and optionally played in the deceased person's voice.

[0902] System Operation

[0903] The virtual interactive living room experience begins when the user puts on the smart glasses or head-mounted display. The user inputs a question by voice or text, which is sent from the user's device to the server. The server forwards the question to an artificial intelligence module, which generates a response to the question. The response is sent back to the user's device in text and voice format and provided to the user through the smart glasses or head-mounted display. The deceased's image also appears as a hologram, recreating the virtual interaction in real time.

[0904] Specific examples

[0905] For example, if a user types, "What was your favorite movie?", this question is sent from the user's device to the server, which then forwards it to the artificial intelligence module. The artificial intelligence module references the deceased's past data and generates a response such as, "My favorite movie was 'The Shawshank Redemption.' It's a movie that taught me the importance of having hope." The response is sent to the user's device in the form of text and voice, and is displayed and played on the user's smart glasses or head-mounted display.

[0906] Prompt Sentence Examples

[0907] An example prompt is:

[0908] "Please answer the following question based on Takahashi's characteristics: What was your favorite movie?"

[0909] In this way, users can enjoy real-time dialogue with the deceased and receive psychological support.

[0910] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0911] Step 1:

[0912] When a user logs in, they upload data related to the deceased (LINE messages, audio data, video data) from their device (smart glasses or head-mounted display). This data is sent to the server via a communication network. The server classifies and stores the received data and passes it to an artificial intelligence module. The input to this step is the data related to the deceased provided by the user, and the output is the classified data stored on the server.

[0913] Step 2:

[0914] The server receives a question from a user terminal. The question is input in text or voice format. The input question is processed by the server and sent to the artificial intelligence module. The input is the text or voice data of the question by the user, and the output is the question data sent to the artificial intelligence module.

[0915] Step 3:

[0916] The AI ​​module generates responses to received questions based on existing data. During this process, it uses natural language processing technology to analyze text, speech recognition technology to convert voice data into text, and image recognition technology to extract features from video data. The input is the question data sent from the server and the stored data of the deceased, and the output is the generated response text data.

[0917] Step 4:

[0918] The generated response text data is converted into voice data using speech synthesis technology. In this step, a voice sample is used to reproduce the voice of the deceased. The input is the text response data provided by the artificial intelligence module, and the output is the voice response data.

[0919] Step 5:

[0920] The server sends the generated response text data and voice data to the user terminal, where the data is displayed and played back to the user through smart glasses or a head-mounted display. The input is the text data and voice data sent from the server, and the output is the text displayed on the user terminal and the voice played back.

[0921] Step 6:

[0922] The user terminal provides a virtual interaction function in real time, allowing the user to interact with the hologram of the deceased and continue asking questions in real time. The inputs for this step are the hologram generation data provided by the system and the real-time user questions, and the output is the user's visual and auditory interaction experience.

[0923] Through the above steps, the user can enjoy real-time conversation with the deceased.

[0924] 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.

[0925] The system of the present invention allows a user to virtually recreate a conversation with a deceased person, and is composed of a user terminal, a server, an artificial intelligence module, and an emotion engine. The system allows the user to upload data related to the deceased, and the AI ​​recognizes the characteristics of the deceased and the user's emotions and responds to questions from the user, thereby realistically recreating a conversation with the deceased.

[0926] User Device

[0927] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data of the deceased through these terminals. Users can also use the chat screen to input and send questions and conversations to the deceased. Responses received from the system are displayed and played in text and audio format.

[0928] server

[0929] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module and emotion engine. Questions from users are also received through the server and forwarded to the AI ​​module and emotion engine. After a response is generated, the server sends it to the user's device.

[0930] Artificial Intelligence Module

[0931] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[0932] Emotion Engine

[0933] The emotion engine has the ability to recognize user emotions. This engine analyzes user emotions from text data using natural language processing technology, from audio data using speech recognition technology, and from video data using image recognition technology. The emotional information analyzed by the emotion engine is used to adjust the tone and content of responses. Furthermore, the emotional information is stored in a database to help optimize the response generation process in the future.

[0934] Specific examples

[0935] For example, if a user types "How are you doing lately?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module and emotion engine. First, the emotion engine analyzes the emotion in the user's message, and the AI ​​module generates the optimal response based on that emotion information. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching my plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[0936] Through this system, users can virtually recreate conversations with their deceased loved ones and receive psychological support. By combining this with the emotion engine's emotion recognition function, a more personalized and richer conversation experience can be provided.

[0937] The processing flow will be explained below.

[0938] Step 1:

[0939] User device:

[0940] The user starts the application and logs in. After logging in, the user selects the data upload screen.

[0941] Step 2:

[0942] User device:

[0943] The user selects the LINE messages, audio data, and video data files of the deceased person and presses the upload button. The selected files are converted to the specified format.

[0944] Step 3:

[0945] server:

[0946] Receives data sent from the user's device. Temporarily stores the received data and sorts it into appropriate folders for each data type.

[0947] Step 4:

[0948] server:

[0949] Records data meta information (file name, type, size, etc.) in the database. Notifies the AI ​​module and emotion engine of the presence of new data regarding the stored data.

[0950] Step 5:

[0951] AI Module:

[0952] The AI ​​module receives notifications of new data and analyzes the data. For LINE messages, natural language processing technology is used to perform morphological analysis, voice data is converted into text using voice recognition technology, and video data is used to extract facial expressions and movement patterns using image recognition technology.

[0953] Step 6:

[0954] AI Module:

[0955] The analysis results are integrated to learn the unique characteristics of the deceased (such as their vocabulary and topical tendencies), and the learned model is updated to prepare for future response generation.

[0956] Step 7:

[0957] Emotion Engine:

[0958] The system recognizes the user's emotions from the received data. It uses natural language processing technology to analyze emotions from text data, speech recognition technology to analyze emotions from audio data, and image recognition technology to extract emotions from video data.

[0959] Step 8:

[0960] Emotion Engine:

[0961] Emotional information is generated based on the user's emotional state and recorded in a database. The accumulated emotional information is used to generate future responses.

[0962] Step 9:

[0963] User device:

[0964] The user opens the chat screen, types a message, for example, "How are you doing lately?", and presses the send button.

[0965] Step 10:

[0966] server:

[0967] Receives messages from users, records them in a database, and forwards them to the artificial intelligence module and emotion engine.

[0968] Step 11:

[0969] Emotion Engine:

[0970] It analyzes the user's emotions from the received message and shares the emotional information with the artificial intelligence module.

[0971] Step 12:

[0972] AI Module:

[0973] The system analyzes the received message while taking into account emotional information from the emotion engine, extracts keywords to generate an appropriate response, and uses natural language generation technology to create a reply based on the characteristics of the deceased.

[0974] Step 13:

[0975] AI Module:

[0976] If necessary, the generated text is converted into audio data using speech synthesis technology, and an audio file is generated that reflects the characteristics of the deceased person's voice.

[0977] Step 14:

[0978] server:

[0979] The generated response (text and voice data) is sent to the user's device, and the meta information of the sent response is recorded in the database.

[0980] Step 15:

[0981] User device:

[0982] Receives the response from the server and displays it in a message window. If it contains audio data, displays a play button so the user can play the audio.

[0983] Through this step, users can virtually recreate conversations with their deceased loved ones, providing a richer experience. Combined with the emotion engine's ability to recognize users' emotions, more personalized responses are possible, providing psychological support to users.

[0984] Example 2

[0985] 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."

[0986] Conventional virtual dialogue systems have had difficulty fully recognizing the user's emotions and generating responses accordingly. Furthermore, to realistically recreate a conversation with a deceased person, it is important to accurately model the deceased's characteristics, but this also poses technical challenges. As a result, users' conversations with the deceased tend to be perfunctory, and they are unable to receive sufficient psychological support.

[0987] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0988] In this invention, the server includes a means for receiving data from a user terminal via a communication network, a means for classifying and saving the received data, an artificial intelligence module that learns individual characteristics based on the classified and saved data, a means for receiving questions from the user via the communication network, a means for sending generated responses to the user terminal, and an emotion engine that analyzes the user's emotions using text data, voice data, and video data, and a means for adjusting the tone and content of the response using the analysis results of the emotion engine and reflecting them in the generation of the response. This makes it possible to generate personalized responses that are in line with the user's emotions and realistically recreate a conversation with the deceased.

[0989] "User terminal" refers to a device used by a user to operate the system, including smartphones, tablets, PCs, etc.

[0990] A "communications network" is an infrastructure for transmitting and receiving data, and includes the Internet and local area networks (LANs).

[0991] "Data" is information related to the deceased, including text data, audio data, and video data.

[0992] "Means for classification and storage" refers to the part of the system that has the function of appropriately classifying the received data and storing it in the cloud for later use.

[0993] The "artificial intelligence module" is a software module that learns individual characteristics based on classified and saved data and generates responses to questions from users.

[0994] The "means for receiving a question" is a part of the system that receives a question sent from a user via a communication network.

[0995] The "means for generating a response" is a part of the system that has the function of generating an appropriate response to a question posed by a user using an artificial intelligence module.

[0996] A "means for sending a response" is a part of the system that sends the generated response to the user terminal over a communications network.

[0997] The "emotion engine" is part of a system that uses text, audio, and video data to analyze a user's emotions and uses the results of that analysis to adjust the tone and content of responses.

[0998] "Natural language processing technology" is a technology for analyzing text data and understanding its meaning and context.

[0999] "Speech recognition technology" is a technology for converting voice data into text and recognizing its content.

[1000] "Image recognition technology" is a technology for detecting specific elements from video data and analyzing their content.

[1001] "Speech synthesis technology" is a technology for converting text data into voice and playing it back in a specific voice.

[1002] The system of the present invention allows a user to virtually recreate a conversation with a deceased loved one. The system is composed of a user terminal, a server, an artificial intelligence module, and an emotion engine.

[1003] User Device

[1004] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data related to the deceased through these terminals. Users can also use the chat screen to type and send questions and conversations to the deceased. Responses received from the system are displayed and played back in text and audio format.

[1005] server

[1006] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module and emotion engine. Questions from users are also received through the server and forwarded to the AI ​​module and emotion engine. After a response is generated, the server sends it to the user's device.

[1007] Artificial Intelligence Module

[1008] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[1009] Emotion Engine

[1010] The emotion engine has the ability to recognize user emotions. This engine analyzes user emotions from text data using natural language processing technology, from audio data using speech recognition technology, and from video data using image recognition technology. The emotional information analyzed by the emotion engine is used to adjust the tone and content of responses. Furthermore, the emotional information is stored in a database to help optimize the response generation process in the future.

[1011] Specific examples

[1012] For example, if a user types "How are you doing lately?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module and emotion engine. First, the emotion engine analyzes the emotion in the user's message, and the AI ​​module generates the optimal response based on that emotion information. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching my plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[1013] Prompt Sentence Examples

[1014] "How are you doing lately?"

[1015] "What are your hobbies these days?"

[1016] "What are you interested in right now?"

[1017] Through this system, users can virtually recreate conversations with their deceased loved ones and receive psychological support. By combining this with the emotion engine's emotion recognition function, a more personalized and richer conversation experience can be provided.

[1018] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1019] Divide the program processing flow into processing steps

[1020] Step 1: Upload your data

[1021] Step 2: Receiving and classifying data

[1022] Step 3: Emotion analysis using the emotion engine

[1023] Step 4: Feature learning by artificial intelligence module

[1024] Step 5: Receiving the question

[1025] Step 6: Generate a response

[1026] Step 7: Send and view the response

[1027] Specific explanation of each processing step

[1028] Step 1: Upload your data

[1029] The user uploads data.

[1030] Input: LINE messages, voice data, and video data from the user's device.

[1031] How it works: The user uses a device such as a smartphone, tablet, or PC to select data related to the deceased through a dedicated application or web interface and clicks the upload button.

[1032] Output: The uploaded data is sent to a server via a communication network.

[1033] Step 2: Receiving and classifying data

[1034] The server receives, categorizes, and stores the data.

[1035] Input: Data received via the communication network (LINE messages, voice data, video data).

[1036] Specific operation: The server stores the received data in a database and appropriately classifies it by the name of the deceased and the type of data.

[1037] Output: Classified and saved data is stored in the database.

[1038] Step 3: Emotion analysis using the emotion engine

[1039] The server analyzes emotions using an emotion engine.

[1040] Input: Classification and saved text data, audio data, video data.

[1041] Specific operation: The server transfers this data to the emotion engine, which analyzes the user's emotions using natural language processing, voice recognition, and image recognition technologies.

[1042] Output: The analyzed emotion information is generated.

[1043] Step 4: Feature learning by artificial intelligence module

[1044] The server uses an artificial intelligence module to learn the characteristics of the deceased.

[1045] Input: Classification and stored data and sentiment analysis results.

[1046] How it works: The server passes this data to an artificial intelligence module, which uses machine learning algorithms to model the speech patterns and interests of the deceased.

[1047] Output: Data is generated that models the characteristics of the deceased.

[1048] Step 5: Receiving the question

[1049] The server receives a query from the user.

[1050] Input: Query data sent from the user terminal via a communications network.

[1051] Specific operation: The server receives the question text from the user terminal and transfers it to the artificial intelligence module and emotion engine.

[1052] Output: The question data is passed to the emotion engine and artificial intelligence module.

[1053] Step 6: Generate a response

[1054] An artificial intelligence module generates responses to questions.

[1055] Input: Question data, data modeling the characteristics of the deceased, and sentiment analysis results.

[1056] How it works: The AI ​​module uses this data to generate responses that the deceased would likely give, and adjusts the tone and content of the responses based on the analysis of the emotion engine.

[1057] Output: The generated response is generated in text and audio formats.

[1058] Step 7: Send and view the response

[1059] The server sends the generated response to the user terminal, which then displays and plays the response.

[1060] Input: Generated response data (text and audio formats).

[1061] Specific operation: The server sends the generated response to the user terminal via the communication network, and the user terminal receives it and displays it as text on the chat screen, as well as playing it back as voice using voice synthesis technology.

[1062] Output: The response displayed and played on the user's device.

[1063] This series of processes allows users to have a realistic conversational experience with the deceased.

[1064] (Application example 2)

[1065] 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."

[1066] Conventional virtual dialogue systems have struggled to provide a realistic dialogue experience, especially for users who wish to converse with deceased loved ones. Furthermore, systems must be able to recognize the user's emotions and generate appropriate responses accordingly, providing a nuanced experience that makes it feel like a real conversation. Furthermore, it is becoming increasingly important to provide interactive experiences using virtual reality devices in brick-and-mortar stores.

[1067] The identification processing by the identification 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 receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module that learns individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for providing virtual interactions using a virtual reality device located in a physical store. This allows the user to experience a realistic interaction with the deceased via the virtual reality device in the physical store.

[1068] "User terminal" refers to an electronic device used by a user, including smartphones, tablets, PCs, etc.

[1069] A "communications network" is an infrastructure that allows electronic devices to exchange data with each other, and includes the Internet and local networks.

[1070] The "means for receiving data" is a function for obtaining information transmitted from a user terminal via a communication network.

[1071] "Means for classification and storage" refers to the function of analyzing received data, organizing it appropriately, and storing it in storage.

[1072] The "artificial intelligence module" is a program that performs machine learning based on received data, learns features, and generates responses.

[1073] The "means for receiving questions" is a function for receiving inquiries from users via a communication network.

[1074] The "means for generating a response" is a function that uses an artificial intelligence module to create an appropriate response to a question from a user.

[1075] The "means for sending a response" is a function for transmitting the generated response to the user terminal.

[1076] A "physical store" is a business establishment that actually exists and where customers can visit in person to receive services.

[1077] A "virtual reality device" is a hardware device that allows a user to experience a virtual environment, including a head-mounted display and smart glasses.

[1078] "Means for providing virtual interaction" refers to a function that enables interaction between a user and a virtual character using a virtual reality device.

[1079] Overall system overview

[1080] The system of the present invention consists of a user terminal, a server, an artificial intelligence module, and an emotion engine. Users can experience virtual interactions using virtual reality devices installed in physical stores. The main role of the system is to collect, analyze, and store data, and generate interactive dialogues with users.

[1081] User Device

[1082] The user terminals used are smartphones, tablets, PCs, etc. Users upload data about the deceased (e.g., audio data, video data, text messages, etc.) to the system via these devices. An interface is also provided for experiencing virtual interactions through a virtual reality device.

[1083] server

[1084] The server receives, classifies, and stores data sent from the user's device. This data is stored in the cloud and passed to the artificial intelligence module and emotion engine. The server also receives questions from users and forwards them to the artificial intelligence module and emotion engine. The server uses a generative AI model and natural language processing (NLP) technology to learn the characteristics of the deceased and generate responses for the user.

[1085] Artificial Intelligence Module

[1086] The artificial intelligence module uses machine learning to model the deceased's speech pattern, interests, and habits based on the data received from the user. This module uses natural language processing technologies, such as Hugging Face's "sentiment-analysis" pipeline and OpenAI's GPT-3 model, to generate optimal responses to the user's questions. It also uses speech synthesis technology to provide the generated responses in audio format.

[1087] Emotion Engine

[1088] The emotion engine analyzes the emotions in the user's input text or voice. This information is used to adjust the tone and content of the generated response. The emotion engine plays a key role in providing the most realistic interaction experience possible.

[1089] Examples of applications in physical stores

[1090] In brick-and-mortar stores, the system uses virtual reality devices to provide virtual interactions. For example, a user can visit a memorial shop, put on smart glasses, and engage in the following interactions:

[1091] Example prompt sentence:

[1092] User: "Mom, how are you doing?"

[1093] User sentiment from sentiment analysis results: "Nostalgia"

[1094] Example of a data model for a deceased person: "Her mother's hobby is gardening, and she often speaks Kansai dialect."

[1095] As a result, the user can experience the deceased responding in Kansai dialect through the virtual reality device, such as, "I've become obsessed with home gardening lately. I find it soothing to watch the plants grow little by little every day."

[1096] Software used and data processing

[1097] This system uses the following software and technologies:

[1098] Hugging Face's NLP pipeline: Analyzing user emotions using "sentiment-analysis".

[1099] OpenAI's GPT-3 model: Uses natural language processing to generate responses to user questions.

[1100] gTTS library: Converts generated text to speech.

[1101] Speech Recognition library: Converts user voice input into text.

[1102] This allows for a rich interactive experience, allowing users to virtually relive memories with their deceased loved ones and find emotional healing.

[1103] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1104] Step 1:

[1105] A user puts on a virtual reality device (e.g., smart glasses) installed in a physical store and inputs data about the deceased. This data can include audio, video, and text messages. For example, the user might ask through the smart glasses, "Mom, how are you doing?"

[1106] Input: The audio data spoken by the user.

[1107] Output: The user's voice data is recorded in digital form.

[1108] Step 2:

[1109] The server receives the user's voice data via a communication network and converts it into text data using speech recognition technology. The software used is the Speech Recognition library.

[1110] Input: User's voice data.

[1111] Output: The audio data is converted to text data.

[1112] Step 3:

[1113] The server sends the text data to the emotion engine for sentiment analysis, which uses Hugging Face's "sentiment-analysis" pipeline to analyze the user's emotions.

[1114] Input: Text data.

[1115] Output: The user's emotional state is analyzed and an emotion tag is assigned.

[1116] Step 4:

[1117] The server forwards the emotion tags and text data to an artificial intelligence module, which uses OpenAI's GPT-3 model to generate an appropriate response to the user's question. This is where the generative AI model comes into play.

[1118] Input: Text data and sentiment tags.

[1119] Output: A response message (in text format) is generated.

[1120] Step 5:

[1121] The server converts the generated response message into voice data using voice synthesis technology (gTTS library).

[1122] Input: Response message (in text format).

[1123] Output: The response message is converted into audio data.

[1124] Step 6:

[1125] The server transmits the generated voice data to a virtual reality device worn by the user via a communication network, and the user can hear the voice response through the virtual reality device.

[1126] Input: Audio data.

[1127] Output: The audio is played in the virtual reality device worn by the user.

[1128] Step 7:

[1129] Users can experience a virtual conversation with the deceased through a virtual reality device. Specifically, if the user asks, "Mom, how are you doing these days?", they can hear the response through the virtual reality device, "I've been into gardening lately. I find it soothing to watch the plants grow little by little every day."

[1130] Input: User's voice question and parsed emotional state.

[1131] Output: The user can realistically hear the deceased's responses through a virtual reality device.

[1132] These steps allow users to have a virtual conversation with the deceased person through a virtual reality device in a physical store.

[1133] 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.

[1134] 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.

[1135] 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.

[1136] [Fourth embodiment]

[1137] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1138] 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.

[1139] 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).

[1140] 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.

[1141] 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.

[1142] 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).

[1143] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1144] 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.

[1145] 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.

[1146] 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.

[1147] 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.

[1148] 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.

[1149] 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."

[1150] The system of the present invention allows users to virtually recreate conversations with the deceased, and is composed of a user terminal, a server, and an artificial intelligence module. The system allows users to upload data related to the deceased, and the AI, which has learned the characteristics of the deceased, responds to questions from the user to recreate conversations with the deceased.

[1151] User Device

[1152] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data of the deceased through these terminals. Users can also use the chat screen to input and send questions and conversations to the deceased. Responses received from the system are displayed and played in text and audio format.

[1153] server

[1154] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module. Questions from users are also received through the server and forwarded to the AI ​​module. After a response is generated, the server sends it to the user's device.

[1155] Artificial Intelligence Module

[1156] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[1157] Specific examples

[1158] For example, if a user types "What are your hobbies these days?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching the plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played back in the deceased's voice using speech synthesis.

[1159] In this way, the system provides users with a means to virtually continue their dialogue with the deceased and can provide psychological support. Furthermore, by integrating various AI technologies to accurately recreate the personality of the deceased, the system offers a richer experience for users.

[1160] The processing flow will be explained below.

[1161] Step 1:

[1162] User device:

[1163] The user starts the application and logs in. After logging in, the user selects the data upload screen.

[1164] Step 2:

[1165] User device:

[1166] The user selects the LINE messages, audio data, and video data files of the deceased person and presses the upload button. The selected files are converted to the specified format.

[1167] Step 3:

[1168] server:

[1169] Receives data sent from the user's device. Temporarily stores the received data and sorts it into appropriate folders for each data type.

[1170] Step 4:

[1171] server:

[1172] Records data meta information (file name, type, size, etc.) in the database. Notifies the AI ​​module of the presence of new data regarding the saved data.

[1173] Step 5:

[1174] AI Module:

[1175] The AI ​​module receives notifications of new data and analyzes the data. For LINE messages, natural language processing technology is used to perform morphological analysis, voice data is converted into text using voice recognition technology, and video data is used to extract facial expressions and movement patterns using image recognition technology.

[1176] Step 6:

[1177] AI Module:

[1178] The analysis results are integrated to learn the unique characteristics of the deceased (such as their vocabulary and topical tendencies), and the learned model is updated to prepare for future response generation.

[1179] Step 7:

[1180] User device:

[1181] The user opens the chat screen, types a message, for example, "How are you doing lately?", and presses the send button.

[1182] Step 8:

[1183] server:

[1184] Receives messages from users, records them in the database, and forwards them to the AI ​​module.

[1185] Step 9:

[1186] AI Module:

[1187] The system analyzes received messages, extracts keywords to generate an appropriate response, and uses natural language generation technology to create the optimal response based on the characteristics of the deceased.

[1188] Step 10:

[1189] AI Module:

[1190] If necessary, the generated text is converted into audio data using speech synthesis technology, and an audio file is generated that reflects the characteristics of the deceased person's voice.

[1191] Step 11:

[1192] server:

[1193] The generated response (text and voice data) is sent to the user's device, and the meta information of the sent response is recorded in the database.

[1194] Step 12:

[1195] User device:

[1196] Receives the response from the server and displays it in a message window. If it contains audio data, displays a play button so the user can play the audio.

[1197] Through this step, the system allows users to virtually recreate a conversation with the deceased, providing a rich experience.

[1198] Example 1

[1199] 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."

[1200] Conventional systems have made it difficult for users to virtually recreate conversations with the deceased. Furthermore, they lacked the technology to accurately recreate the personality and characteristics of the deceased, resulting in low user satisfaction. Therefore, a system that allows users to feel a connection with the deceased is needed.

[1201] 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.

[1202] In this invention, the server includes means for receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module for learning individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for displaying and playing back the generated responses in text and audio format on the user terminal, thereby enabling the user to virtually re-enact conversations with the deceased and experience responses that recreate the deceased's personality.

[1203] A "user terminal" is a device used by a user, such as a smartphone, tablet, or personal computer.

[1204] "Communication network" refers to network infrastructure such as the Internet and wireless communications for exchanging data.

[1205] "Means for receiving data" refers to a function that allows the server to receive information sent from the user terminal.

[1206] "Means for classifying and storing data" refers to the function of analyzing received information, dividing it into different categories, and recording it.

[1207] "Artificial intelligence module" refers to algorithms or software that learns specific patterns or characteristics based on incoming data and generates responses.

[1208] "Data-based learning of individual characteristics" refers to the process of analyzing collected data to understand and memorize the habits and thought patterns of specific individuals contained in that data.

[1209] "Means for receiving questions" refers to the function of receiving inquiries from users.

[1210] The "means for generating a response" is a function that uses an artificial intelligence module to generate an appropriate response to a received question.

[1211] "Means for sending a response" refers to a function for transferring the generated answer to the user terminal.

[1212] "Means for displaying and playing in text and audio format" refers to the function of displaying responses as text information on a screen and playing them as audio data through a speaker or the like.

[1213] The system of the present invention allows users to virtually recreate conversations with the deceased, and is primarily composed of a user terminal, a server, and an artificial intelligence module. The system's function is to analyze and learn from data uploaded by users about the deceased, and generate conversations based on that data.

[1214] User Device

[1215] The user terminal includes devices such as smartphones, tablets, and personal computers, and provides a user interface. Users upload LINE messages, audio data, and video data of the deceased through this terminal. The terminal has the function of transmitting this data to the server. Users can also use the chat screen to input and send questions and conversation content for the deceased. Responses received from the system are displayed in text and audio format, and are also played back using voice synthesis.

[1216] server

[1217] The server has the function of receiving data sent from the user terminal and storing it on the cloud. The received data is first classified and stored in the appropriate folder. The stored data is then transferred to the artificial intelligence module. The server also receives questions from the user and sends them to the artificial intelligence module. The generated responses are sent to the user terminal via the server.

[1218] Artificial Intelligence Module

[1219] The artificial intelligence module is built on machine learning frameworks such as TensorFlow and PyTorch. This module uses natural language processing (NLP), speech recognition, and image recognition technologies to learn the characteristics of the deceased based on the received data. For example, it models the deceased's conversation patterns, hobbies, and interests, and uses them to generate responses to user questions. Specifically, it analyzes collected LINE messages and voice data to understand the deceased's speaking style and interests, and uses this information to generate responses.

[1220] Specific examples

[1221] When a user types "What are your hobbies these days?" into the chat screen, this message is sent from the user's device to the server. The server receives this message and forwards it to an artificial intelligence module. The artificial intelligence module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching the plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[1222] This system provides users with a means to virtually continue their dialogue with the deceased, and can provide psychological support. It also integrates various AI technologies to accurately recreate the personality of the deceased, providing a richer experience for users.

[1223] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1224] Step 1:

[1225] Users use their devices to upload data related to the deceased. The input data includes information about the deceased, such as LINE messages, audio data, and video data. This data is first organized on the device and then sent to the server via a communication network.

[1226] Step 2:

[1227] The server receives data sent from the user's device and stores it in cloud storage. The input data is data related to the deceased sent from the device. This data is classified by approach and stored in the appropriate folder. As an output, metadata of the stored data is generated.

[1228] Step 3:

[1229] The server analyzes the stored data and transfers it to an AI module. The input is the deceased's data stored in cloud storage, which the server tags and organizes. The output is data converted into a format that the AI ​​module can process.

[1230] Step 4:

[1231] The artificial intelligence module uses natural language processing (NLP), speech recognition, and image recognition technologies to learn the characteristics of the deceased based on the received data. The input is data sent from the server. During this process, the AI ​​analyzes the deceased's speech pattern, hobbies, and interests and incorporates them into the model. The output is a trained feature model of the deceased.

[1232] Step 5:

[1233] The user uses the chat screen on the device to input questions for the deceased. The input data is a text message that the user inputs on the chat screen. This message is sent from the device to the server.

[1234] Step 6:

[1235] The server receives questions from users and forwards them to the artificial intelligence module. The input data is a text message from the user. The server converts it into an appropriate format so that the AI ​​module can process it. The output is the converted text data.

[1236] Step 7:

[1237] The artificial intelligence module generates responses to user questions. The input data is the user's question sent from the server. The AI ​​generates an appropriate response based on a feature model of the deceased. The output is the generated text and audio data.

[1238] Step 8:

[1239] The server receives the generated response and sends it to the user terminal. The input data is the response generated by the artificial intelligence module. The server sends this data to the user terminal. The output is the response data sent to the user terminal.

[1240] Step 9:

[1241] The user device displays and plays the received response in text and audio format. The input data is the response data sent from the server. The device displays this as text on the chat screen and plays it back using speech synthesis technology. The output is the response presented visually and audibly to the user.

[1242] (Application example 1)

[1243] 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."

[1244] In modern society, there is a need for a means for people to receive psychological support by virtually recreating conversations with their deceased loved ones. However, conventional methods have difficulty accurately recreating the personality of the deceased, and there is a lack of technology, particularly for conducting virtual conversations in real time. Therefore, it is necessary to develop technology that can provide a more realistic experience.

[1245] 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.

[1246] In this invention, the server includes means for receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module for learning individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for reproducing a virtual conversation in real time when the user terminal is a smart eyeglass or a head-mounted display, thereby enabling the user to replay a conversation with the deceased in real time with high accuracy.

[1247] "User terminal" means a device that is directly operated by a user, including a smartphone, tablet, PC, smart glasses, head-mounted display, etc.

[1248] A "communications network" is a means for transmitting and receiving data between devices, including the Internet and mobile networks.

[1249] "Means for receiving data" refers to the process for sending data from a user terminal to a server and receiving the data.

[1250] "Means for classifying and storing data" refers to the function of organizing received data according to specific criteria and storing it in appropriate storage.

[1251] An "artificial intelligence module" is a part of a computer program that performs machine learning based on received data and performs designated tasks.

[1252] The "means for receiving a question" is the process by which the server receives a question entered by a user and processes the question.

[1253] The "means for generating a response" is the process of using an artificial intelligence module to generate an appropriate response to a user's question.

[1254] The "means for sending a response" is a process for sending the generated response back to the user terminal.

[1255] "Means for reproducing virtual interactions in real time" refers to a function that allows users to experience fictional interactions in real time using smart glasses or a head-mounted display.

[1256] "Natural language processing technology" is a technology for analyzing and understanding text data, and is used by artificial intelligence modules to respond to user questions.

[1257] "Speech recognition technology" refers to the technology that converts voice data into text, and is used by the artificial intelligence module to analyze the user's voice input.

[1258] "Image recognition technology" is a technology that extracts specific features and patterns from image data and is used to classify data and model the characteristics of the deceased.

[1259] "Speech synthesis technology" is a technology that converts text data into speech and is used to reproduce responses in the voice of the deceased.

[1260] This invention relates to a system that allows a user to virtually recreate a conversation with a deceased person. The system is composed of a user terminal, a server, and an artificial intelligence module.

[1261] User Device

[1262] The user device is a device directly operated by the user, and includes smartphones, tablets, PCs, smart glasses, head-mounted displays, etc. The user uses it to upload LINE messages, audio data, and video data of the deceased. The user can also enter questions for the deceased through the chat screen or voice input and receive responses from the system.

[1263] server

[1264] The server is responsible for:

[1265] 1. Receive data from the user's device and store it in the cloud.

[1266] 2. Classify and store the received data and pass it on to the artificial intelligence module.

[1267] 3. Receives user questions and forwards them to the artificial intelligence module.

[1268] 4. Generate a response and send it to the user terminal.

[1269] Artificial Intelligence Module

[1270] The Artificial Intelligence module has the following functions:

[1271] 1. Use natural language processing, speech recognition, and image recognition technologies to learn individual characteristics based on the data received.

[1272] 2. Generate appropriate responses to user questions, provided in text and audio formats, and optionally played in the deceased person's voice.

[1273] System Operation

[1274] The virtual interactive living room experience begins when the user puts on the smart glasses or head-mounted display. The user inputs a question by voice or text, which is sent from the user's device to the server. The server forwards the question to an artificial intelligence module, which generates a response to the question. The response is sent back to the user's device in text and voice format and provided to the user through the smart glasses or head-mounted display. The deceased's image also appears as a hologram, recreating the virtual interaction in real time.

[1275] Specific examples

[1276] For example, if a user types, "What was your favorite movie?", this question is sent from the user's device to the server, which then forwards it to the artificial intelligence module. The artificial intelligence module references the deceased's past data and generates a response such as, "My favorite movie was 'The Shawshank Redemption.' It's a movie that taught me the importance of having hope." The response is sent to the user's device in the form of text and voice, and is displayed and played on the user's smart glasses or head-mounted display.

[1277] Prompt Sentence Examples

[1278] An example prompt is:

[1279] "Please answer the following question based on Takahashi's characteristics: What was your favorite movie?"

[1280] In this way, users can enjoy real-time dialogue with the deceased and receive psychological support.

[1281] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1282] Step 1:

[1283] When a user logs in, they upload data related to the deceased (LINE messages, audio data, video data) from their device (smart glasses or head-mounted display). This data is sent to the server via a communication network. The server classifies and stores the received data and passes it to an artificial intelligence module. The input to this step is the data related to the deceased provided by the user, and the output is the classified data stored on the server.

[1284] Step 2:

[1285] The server receives a question from a user terminal. The question is input in text or voice format. The input question is processed by the server and sent to the artificial intelligence module. The input is the text or voice data of the question by the user, and the output is the question data sent to the artificial intelligence module.

[1286] Step 3:

[1287] The AI ​​module generates responses to received questions based on existing data. During this process, it uses natural language processing technology to analyze text, speech recognition technology to convert voice data into text, and image recognition technology to extract features from video data. The input is the question data sent from the server and the stored data of the deceased, and the output is the generated response text data.

[1288] Step 4:

[1289] The generated response text data is converted into voice data using speech synthesis technology. In this step, a voice sample is used to reproduce the voice of the deceased. The input is the text response data provided by the artificial intelligence module, and the output is the voice response data.

[1290] Step 5:

[1291] The server sends the generated response text data and voice data to the user terminal, where the data is displayed and played back to the user through smart glasses or a head-mounted display. The input is the text data and voice data sent from the server, and the output is the text displayed on the user terminal and the voice played back.

[1292] Step 6:

[1293] The user terminal provides a virtual interaction function in real time, allowing the user to interact with the hologram of the deceased and continue asking questions in real time. The inputs for this step are the hologram generation data provided by the system and the real-time user questions, and the output is the user's visual and auditory interaction experience.

[1294] Through the above steps, the user can enjoy real-time conversation with the deceased.

[1295] 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.

[1296] The system of the present invention allows a user to virtually recreate a conversation with a deceased person, and is composed of a user terminal, a server, an artificial intelligence module, and an emotion engine. The system allows the user to upload data related to the deceased, and the AI ​​recognizes the characteristics of the deceased and the user's emotions and responds to questions from the user, thereby realistically recreating a conversation with the deceased.

[1297] User Device

[1298] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data of the deceased through these terminals. Users can also use the chat screen to input and send questions and conversations to the deceased. Responses received from the system are displayed and played in text and audio format.

[1299] server

[1300] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module and emotion engine. Questions from users are also received through the server and forwarded to the AI ​​module and emotion engine. After a response is generated, the server sends it to the user's device.

[1301] Artificial Intelligence Module

[1302] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[1303] Emotion Engine

[1304] The emotion engine has the ability to recognize user emotions. This engine analyzes user emotions from text data using natural language processing technology, from audio data using speech recognition technology, and from video data using image recognition technology. The emotional information analyzed by the emotion engine is used to adjust the tone and content of responses. Furthermore, the emotional information is stored in a database to help optimize the response generation process in the future.

[1305] Specific examples

[1306] For example, if a user types "How are you doing lately?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module and emotion engine. First, the emotion engine analyzes the emotion in the user's message, and the AI ​​module generates the optimal response based on that emotion information. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching my plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[1307] Through this system, users can virtually recreate conversations with their deceased loved ones and receive psychological support. By combining this with the emotion engine's emotion recognition function, a more personalized and richer conversation experience can be provided.

[1308] The processing flow will be explained below.

[1309] Step 1:

[1310] User device:

[1311] The user starts the application and logs in. After logging in, the user selects the data upload screen.

[1312] Step 2:

[1313] User device:

[1314] The user selects the LINE messages, audio data, and video data files of the deceased person and presses the upload button. The selected files are converted to the specified format.

[1315] Step 3:

[1316] server:

[1317] Receives data sent from the user's device. Temporarily stores the received data and sorts it into appropriate folders for each data type.

[1318] Step 4:

[1319] server:

[1320] Records data meta information (file name, type, size, etc.) in the database. Notifies the AI ​​module and emotion engine of the presence of new data regarding the stored data.

[1321] Step 5:

[1322] AI Module:

[1323] The AI ​​module receives notifications of new data and analyzes the data. For LINE messages, natural language processing technology is used to perform morphological analysis, voice data is converted into text using voice recognition technology, and video data is used to extract facial expressions and movement patterns using image recognition technology.

[1324] Step 6:

[1325] AI Module:

[1326] The analysis results are integrated to learn the unique characteristics of the deceased (such as their vocabulary and topical tendencies), and the learned model is updated to prepare for future response generation.

[1327] Step 7:

[1328] Emotion Engine:

[1329] The system recognizes the user's emotions from the received data. It uses natural language processing technology to analyze emotions from text data, speech recognition technology to analyze emotions from audio data, and image recognition technology to extract emotions from video data.

[1330] Step 8:

[1331] Emotion Engine:

[1332] Emotional information is generated based on the user's emotional state and recorded in a database. The accumulated emotional information is used to generate future responses.

[1333] Step 9:

[1334] User device:

[1335] The user opens the chat screen, types a message, for example, "How are you doing lately?", and presses the send button.

[1336] Step 10:

[1337] server:

[1338] Receives messages from users, records them in a database, and forwards them to the artificial intelligence module and emotion engine.

[1339] Step 11:

[1340] Emotion Engine:

[1341] It analyzes the user's emotions from the received message and shares the emotional information with the artificial intelligence module.

[1342] Step 12:

[1343] AI Module:

[1344] The system analyzes the received message while taking into account emotional information from the emotion engine, extracts keywords to generate an appropriate response, and uses natural language generation technology to create a reply based on the characteristics of the deceased.

[1345] Step 13:

[1346] AI Module:

[1347] If necessary, the generated text is converted into audio data using speech synthesis technology, and an audio file is generated that reflects the characteristics of the deceased person's voice.

[1348] Step 14:

[1349] server:

[1350] The generated response (text and voice data) is sent to the user's device, and the meta information of the sent response is recorded in the database.

[1351] Step 15:

[1352] User device:

[1353] Receives the response from the server and displays it in a message window. If it contains audio data, displays a play button so the user can play the audio.

[1354] Through this step, users can virtually recreate conversations with their deceased loved ones, providing a richer experience. Combined with the emotion engine's ability to recognize users' emotions, more personalized responses are possible, providing psychological support to users.

[1355] Example 2

[1356] 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."

[1357] Conventional virtual dialogue systems have had difficulty fully recognizing the user's emotions and generating responses accordingly. Furthermore, to realistically recreate a conversation with a deceased person, it is important to accurately model the deceased's characteristics, but this also poses technical challenges. As a result, users' conversations with the deceased tend to be perfunctory, and they are unable to receive sufficient psychological support.

[1358] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1359] In this invention, the server includes a means for receiving data from a user terminal via a communication network, a means for classifying and saving the received data, an artificial intelligence module that learns individual characteristics based on the classified and saved data, a means for receiving questions from the user via the communication network, a means for sending generated responses to the user terminal, and an emotion engine that analyzes the user's emotions using text data, voice data, and video data, and a means for adjusting the tone and content of the response using the analysis results of the emotion engine and reflecting them in the generation of the response. This makes it possible to generate personalized responses that are in line with the user's emotions and realistically recreate a conversation with the deceased.

[1360] "User terminal" refers to a device used by a user to operate the system, including smartphones, tablets, PCs, etc.

[1361] A "communications network" is an infrastructure for transmitting and receiving data, and includes the Internet and local area networks (LANs).

[1362] "Data" is information related to the deceased, including text data, audio data, and video data.

[1363] "Means for classification and storage" refers to the part of the system that has the function of appropriately classifying the received data and storing it in the cloud for later use.

[1364] The "artificial intelligence module" is a software module that learns individual characteristics based on classified and saved data and generates responses to questions from users.

[1365] The "means for receiving a question" is a part of the system that receives a question sent from a user via a communication network.

[1366] The "means for generating a response" is a part of the system that has the function of generating an appropriate response to a question posed by a user using an artificial intelligence module.

[1367] A "means for sending a response" is a part of the system that sends the generated response to the user terminal over a communications network.

[1368] The "emotion engine" is part of a system that uses text, audio, and video data to analyze a user's emotions and uses the results of that analysis to adjust the tone and content of responses.

[1369] "Natural language processing technology" is a technology for analyzing text data and understanding its meaning and context.

[1370] "Speech recognition technology" is a technology for converting voice data into text and recognizing its content.

[1371] "Image recognition technology" is a technology for detecting specific elements from video data and analyzing their content.

[1372] "Speech synthesis technology" is a technology for converting text data into voice and playing it back in a specific voice.

[1373] The system of the present invention allows a user to virtually recreate a conversation with a deceased loved one. The system is composed of a user terminal, a server, an artificial intelligence module, and an emotion engine.

[1374] User Device

[1375] User terminals include devices such as smartphones, tablets, and PCs, and provide the user interface. Users upload LINE messages, audio data, and video data related to the deceased through these terminals. Users can also use the chat screen to type and send questions and conversations to the deceased. Responses received from the system are displayed and played back in text and audio format.

[1376] server

[1377] The server receives data sent from the user's device and stores it on the cloud. The received data is classified and stored, and then passed to the AI ​​module and emotion engine. Questions from users are also received through the server and forwarded to the AI ​​module and emotion engine. After a response is generated, the server sends it to the user's device.

[1378] Artificial Intelligence Module

[1379] The artificial intelligence module has the ability to learn the characteristics of the deceased and respond to questions from the user. This module uses machine learning based on the received data and natural language processing (NLP), speech recognition, and image recognition technologies to model the deceased's speaking style, interests, and tendencies. This allows it to generate responses to questions entered by the user that the deceased would likely have answered. The generated responses are provided in text and audio formats.

[1380] Emotion Engine

[1381] The emotion engine has the ability to recognize user emotions. This engine analyzes user emotions from text data using natural language processing technology, from audio data using speech recognition technology, and from video data using image recognition technology. The emotional information analyzed by the emotion engine is used to adjust the tone and content of responses. Furthermore, the emotional information is stored in a database to help optimize the response generation process in the future.

[1382] Specific examples

[1383] For example, if a user types "How are you doing lately?" into the chat screen, this message is sent from the user's device to the server. The server receives the message and forwards it to the AI ​​module and emotion engine. First, the emotion engine analyzes the emotion in the user's message, and the AI ​​module generates the optimal response based on that emotion information. The AI ​​module searches for information about the deceased's interests and hobbies from past LINE messages and voice data, and based on that data, generates a response such as "I've been into home gardening lately. Watching my plants grow little by little every day is soothing." The generated response is sent to the user's device via the server, where it is displayed as text and played in the deceased's voice using speech synthesis.

[1384] Prompt Sentence Examples

[1385] "How are you doing lately?"

[1386] "What are your hobbies these days?"

[1387] "What are you interested in right now?"

[1388] Through this system, users can virtually recreate conversations with their deceased loved ones and receive psychological support. By combining this with the emotion engine's emotion recognition function, a more personalized and richer conversation experience can be provided.

[1389] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1390] Divide the program processing flow into processing steps

[1391] Step 1: Upload your data

[1392] Step 2: Receiving and classifying data

[1393] Step 3: Emotion analysis using the emotion engine

[1394] Step 4: Feature learning by artificial intelligence module

[1395] Step 5: Receiving the question

[1396] Step 6: Generate a response

[1397] Step 7: Send and view the response

[1398] Specific explanation of each processing step

[1399] Step 1: Upload your data

[1400] The user uploads data.

[1401] Input: LINE messages, voice data, and video data from the user's device.

[1402] How it works: The user uses a device such as a smartphone, tablet, or PC to select data related to the deceased through a dedicated application or web interface and clicks the upload button.

[1403] Output: The uploaded data is sent to a server via a communication network.

[1404] Step 2: Receiving and classifying data

[1405] The server receives, categorizes, and stores the data.

[1406] Input: Data received via the communication network (LINE messages, voice data, video data).

[1407] Specific operation: The server stores the received data in a database and appropriately classifies it by the name of the deceased and the type of data.

[1408] Output: Classified and saved data is stored in the database.

[1409] Step 3: Emotion analysis using the emotion engine

[1410] The server analyzes emotions using an emotion engine.

[1411] Input: Classification and saved text data, audio data, video data.

[1412] Specific operation: The server transfers this data to the emotion engine, which analyzes the user's emotions using natural language processing, voice recognition, and image recognition technologies.

[1413] Output: The analyzed emotion information is generated.

[1414] Step 4: Feature learning by artificial intelligence module

[1415] The server uses an artificial intelligence module to learn the characteristics of the deceased.

[1416] Input: Classification and stored data and sentiment analysis results.

[1417] How it works: The server passes this data to an artificial intelligence module, which uses machine learning algorithms to model the speech patterns and interests of the deceased.

[1418] Output: Data is generated that models the characteristics of the deceased.

[1419] Step 5: Receiving the question

[1420] The server receives a query from the user.

[1421] Input: Query data sent from the user terminal via a communications network.

[1422] Specific operation: The server receives the question text from the user terminal and transfers it to the artificial intelligence module and emotion engine.

[1423] Output: The question data is passed to the emotion engine and artificial intelligence module.

[1424] Step 6: Generate a response

[1425] An artificial intelligence module generates responses to questions.

[1426] Input: Question data, data modeling the characteristics of the deceased, and sentiment analysis results.

[1427] How it works: The AI ​​module uses this data to generate responses that the deceased would likely give, and adjusts the tone and content of the responses based on the analysis of the emotion engine.

[1428] Output: The generated response is generated in text and audio formats.

[1429] Step 7: Send and view the response

[1430] The server sends the generated response to the user terminal, which then displays and plays the response.

[1431] Input: Generated response data (text and audio formats).

[1432] Specific operation: The server sends the generated response to the user terminal via the communication network, and the user terminal receives it and displays it as text on the chat screen, as well as playing it back as voice using voice synthesis technology.

[1433] Output: The response displayed and played on the user's device.

[1434] This series of processes allows users to have a realistic conversational experience with the deceased.

[1435] (Application example 2)

[1436] 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."

[1437] Conventional virtual dialogue systems have struggled to provide a realistic dialogue experience, especially for users who wish to converse with deceased loved ones. Furthermore, systems must be able to recognize the user's emotions and generate appropriate responses accordingly, providing a nuanced experience that makes it feel like a real conversation. Furthermore, it is becoming increasingly important to provide interactive experiences using virtual reality devices in brick-and-mortar stores.

[1438] The identification processing by the identification 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 receiving data from a user terminal via a communication network, means for classifying and storing the received data, an artificial intelligence module that learns individual characteristics based on the classified and stored data, means for receiving questions from the user via the communication network, means for generating responses to the received questions using the artificial intelligence module, means for transmitting the generated responses to the user terminal, and means for providing virtual interactions using a virtual reality device located in a physical store. This allows the user to experience a realistic interaction with the deceased via the virtual reality device in the physical store.

[1439] "User terminal" refers to an electronic device used by a user, including smartphones, tablets, PCs, etc.

[1440] A "communications network" is an infrastructure that allows electronic devices to exchange data with each other, and includes the Internet and local networks.

[1441] The "means for receiving data" is a function for obtaining information transmitted from a user terminal via a communication network.

[1442] "Means for classification and storage" refers to the function of analyzing received data, organizing it appropriately, and storing it in storage.

[1443] The "artificial intelligence module" is a program that performs machine learning based on received data, learns features, and generates responses.

[1444] The "means for receiving questions" is a function for receiving inquiries from users via a communication network.

[1445] The "means for generating a response" is a function that uses an artificial intelligence module to create an appropriate response to a question from a user.

[1446] The "means for sending a response" is a function for transmitting the generated response to the user terminal.

[1447] A "physical store" is a business establishment that actually exists and where customers can visit in person to receive services.

[1448] A "virtual reality device" is a hardware device that allows a user to experience a virtual environment, including a head-mounted display and smart glasses.

[1449] "Means for providing virtual interaction" refers to a function that enables interaction between a user and a virtual character using a virtual reality device.

[1450] Overall system overview

[1451] The system of the present invention consists of a user terminal, a server, an artificial intelligence module, and an emotion engine. Users can experience virtual interactions using virtual reality devices installed in physical stores. The main role of the system is to collect, analyze, and store data, and generate interactive dialogues with users.

[1452] User Device

[1453] The user terminals used are smartphones, tablets, PCs, etc. Users upload data about the deceased (e.g., audio data, video data, text messages, etc.) to the system via these devices. An interface is also provided for experiencing virtual interactions through a virtual reality device.

[1454] server

[1455] The server receives, classifies, and stores data sent from the user's device. This data is stored in the cloud and passed to the artificial intelligence module and emotion engine. The server also receives questions from users and forwards them to the artificial intelligence module and emotion engine. The server uses a generative AI model and natural language processing (NLP) technology to learn the characteristics of the deceased and generate responses for the user.

[1456] Artificial Intelligence Module

[1457] The artificial intelligence module uses machine learning to model the deceased's speech pattern, interests, and habits based on the data received from the user. This module uses natural language processing technologies, such as Hugging Face's "sentiment-analysis" pipeline and OpenAI's GPT-3 model, to generate optimal responses to the user's questions. It also uses speech synthesis technology to provide the generated responses in audio format.

[1458] Emotion Engine

[1459] The emotion engine analyzes the emotions in the user's input text or voice. This information is used to adjust the tone and content of the generated response. The emotion engine plays a key role in providing the most realistic interaction experience possible.

[1460] Examples of applications in physical stores

[1461] In brick-and-mortar stores, the system uses virtual reality devices to provide virtual interactions. For example, a user can visit a memorial shop, put on smart glasses, and engage in the following interactions:

[1462] Example prompt sentence:

[1463] User: "Mom, how are you doing?"

[1464] User sentiment from sentiment analysis results: "Nostalgia"

[1465] Example of a data model for a deceased person: "Her mother's hobby is gardening, and she often speaks Kansai dialect."

[1466] As a result, the user can experience the deceased responding in Kansai dialect through the virtual reality device, such as, "I've become obsessed with home gardening lately. I find it soothing to watch the plants grow little by little every day."

[1467] Software used and data processing

[1468] This system uses the following software and technologies:

[1469] Hugging Face's NLP pipeline: Analyzing user emotions using "sentiment-analysis".

[1470] OpenAI's GPT-3 model: Uses natural language processing to generate responses to user questions.

[1471] gTTS library: Converts generated text to speech.

[1472] Speech Recognition library: Converts user voice input into text.

[1473] This allows for a rich interactive experience, allowing users to virtually relive memories with their deceased loved ones and find emotional healing.

[1474] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1475] Step 1:

[1476] A user puts on a virtual reality device (e.g., smart glasses) installed in a physical store and inputs data about the deceased. This data can include audio, video, and text messages. For example, the user might ask through the smart glasses, "Mom, how are you doing?"

[1477] Input: The audio data spoken by the user.

[1478] Output: The user's voice data is recorded in digital form.

[1479] Step 2:

[1480] The server receives the user's voice data via a communication network and converts it into text data using speech recognition technology. The software used is the Speech Recognition library.

[1481] Input: User's voice data.

[1482] Output: The audio data is converted to text data.

[1483] Step 3:

[1484] The server sends the text data to the emotion engine for sentiment analysis, which uses Hugging Face's "sentiment-analysis" pipeline to analyze the user's emotions.

[1485] Input: Text data.

[1486] Output: The user's emotional state is analyzed and an emotion tag is assigned.

[1487] Step 4:

[1488] The server forwards the emotion tags and text data to an artificial intelligence module, which uses OpenAI's GPT-3 model to generate an appropriate response to the user's question. This is where the generative AI model comes into play.

[1489] Input: Text data and sentiment tags.

[1490] Output: A response message (in text format) is generated.

[1491] Step 5:

[1492] The server converts the generated response message into voice data using voice synthesis technology (gTTS library).

[1493] Input: Response message (in text format).

[1494] Output: The response message is converted into audio data.

[1495] Step 6:

[1496] The server transmits the generated voice data to a virtual reality device worn by the user via a communication network, and the user can hear the voice response through the virtual reality device.

[1497] Input: Audio data.

[1498] Output: The audio is played in the virtual reality device worn by the user.

[1499] Step 7:

[1500] Users can experience a virtual conversation with the deceased through a virtual reality device. Specifically, if the user asks, "Mom, how are you doing these days?", they can hear the response through the virtual reality device, "I've been into gardening lately. I find it soothing to watch the plants grow little by little every day."

[1501] Input: User's voice question and parsed emotional state.

[1502] Output: The user can realistically hear the deceased's responses through a virtual reality device.

[1503] These steps allow users to have a virtual conversation with the deceased person through a virtual reality device in a physical store.

[1504] 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.

[1505] 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.

[1506] 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.

[1507] 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.

[1508] 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.

[1509] 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.

[1510] 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).

[1511] 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.

[1512] 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."

[1513] 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.

[1514] 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).

[1515] 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.

[1516] 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.

[1517] 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.

[1518] 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.

[1519] 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.

[1520] 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.

[1521] 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.

[1522] 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.

[1523] 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.

[1524] 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.

[1525] The following is further disclosed regarding the above embodiment.

[1526] (Claim 1)

[1527] means for receiving data from a user terminal over a communications network;

[1528] A means for classifying and storing the received data;

[1529] An artificial intelligence module that learns individual characteristics based on classified and saved data,

[1530] means for receiving a query from a user via a communications network;

[1531] means for generating a response to the received question using an artificial intelligence module;

[1532] means for transmitting the generated response to a user terminal;

[1533] A system including:

[1534] (Claim 2)

[1535] 10. The system of claim 1, wherein natural language processing technology, speech recognition technology, and image recognition technology are used to learn individual characteristics.

[1536] (Claim 3)

[1537] The system according to claim 1, wherein the voice data uploaded from the user terminal is played back using voice synthesis technology.

[1538] "Example 1"

[1539] (Claim 1)

[1540] means for receiving data from a user terminal over a communications network;

[1541] A means for classifying and storing the received data;

[1542] An artificial intelligence module that learns individual characteristics based on classified and saved data,

[1543] means for receiving a query from a user via a communications network;

[1544] means for generating a response to the received question using an artificial intelligence module;

[1545] means for transmitting the generated response to a user terminal;

[1546] means for displaying and playing the generated response in text and audio format on the user's terminal;

[1547] A system including:

[1548] (Claim 2)

[1549] 10. The system of claim 1, wherein natural language processing technology, speech recognition technology, and image recognition technology are used to learn individual characteristics.

[1550] (Claim 3)

[1551] The system according to claim 1, wherein the voice data uploaded from the user terminal is played back using voice synthesis technology.

[1552] "Application Example 1"

[1553] (Claim 1)

[1554] means for receiving data from a user terminal over a communications network;

[1555] A means for classifying and storing the received data;

[1556] An artificial intelligence module that learns individual characteristics based on classified and saved data,

[1557] means for receiving a query from a user via a communications network;

[1558] means for generating a response to the received question using an artificial intelligence module;

[1559] means for transmitting the generated response to a user terminal;

[1560] The user terminal is a smart eyeglass or a head-mounted display, and means for reproducing the virtual interaction in real time;

[1561] A system including:

[1562] (Claim 2)

[1563] 10. The system of claim 1, wherein natural language processing technology, speech recognition technology, and image recognition technology are used to learn individual characteristics.

[1564] (Claim 3)

[1565] The system according to claim 1, wherein the voice data uploaded from the user terminal is played back using voice synthesis technology.

[1566] "Example 2: Combining Emotion Engines"

[1567] (Claim 1)

[1568] means for receiving data from a user terminal over a communications network;

[1569] A means for classifying and storing the received data;

[1570] An artificial intelligence module that learns individual characteristics based on classified and saved data,

[1571] means for receiving a query from a user via a communications network;

[1572] means for generating a response to the received question using an artificial intelligence module; and

[1573] means for transmitting the generated response to a user terminal;

[1574] A system including an emotion engine that analyzes user emotions using text data, audio data, and video data,

[1575] A means for adjusting the tone and content of a response using the analysis results of the emotion engine and reflecting them in the generation of the response;

[1576] A system including:

[1577] (Claim 2)

[1578] 10. The system of claim 1, wherein natural language processing technology, speech recognition technology, and image recognition technology are used to learn individual characteristics.

[1579] (Claim 3)

[1580] The system according to claim 1, wherein the voice data uploaded from the user terminal is played back using voice synthesis technology.

[1581] "Application example 2 when combining emotion engines"

[1582] (Claim 1)

[1583] means for receiving data from a user terminal over a communications network;

[1584] A means for classifying and storing the received data;

[1585] An artificial intelligence module that learns individual characteristics based on classified and saved data,

[1586] means for receiving a query from a user via a communications network;

[1587] means for generating a response to the received question using an artificial intelligence module;

[1588] means for transmitting the generated response to a user terminal;

[1589] a means for providing virtual interactions using a virtual reality device located in a physical store;

[1590] A system including:

[1591] (Claim 2)

[1592] 10. The system of claim 1, wherein natural language processing technology, speech recognition technology, and image recognition technology are used to learn individual characteristics.

[1593] (Claim 3)

[1594] The system according to claim 1, wherein the voice data uploaded from the user terminal is played back using voice synthesis technology. [Explanation of symbols]

[1595] 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 receiving data from a user terminal over a communications network; a means for classifying and storing the received data; An artificial intelligence module that learns individual characteristics based on classified and saved data, and means for receiving a query from a user via a communications network; means for generating a response to the received question using an artificial intelligence module; means for transmitting the generated response to a user terminal; A system including:

2. The system of claim 1 , wherein the system uses natural language processing technology, speech recognition technology, and image recognition technology to learn the individual's unique characteristics.

3. The system according to claim 1, wherein the voice data uploaded from the user terminal is reproduced using voice synthesis technology.

Images