System

Abstract

A system is provided.SOLUTION: A system including input means for a user to select a person in the past and in history, means for a server to refer to a history database based on the input of the user and acquire relevant data, means for the server to generate a dialogue scenario using the acquired data and an AI generation model, means for the server to transmit the generated dialogue scenario to a terminal of the user, means for the terminal to display the dialogue scenario received by the terminal, and means for the terminal to generate next request data based on a selection of the user and transmit the next request data to the server.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In conventional text adventure games, users only progress through a fixed storyline, lacking historical knowledge and educational elements. It was also difficult to provide an experience where users could freely interact with historical figures and change the storyline through their choices. This limited the game's enjoyment and educational value. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems with a system that includes an input means for a user to select a past era and historical figure, a means for a server to refer to a historical database and acquire related data based on the user's input, a means for the server to generate a dialogue scenario using the acquired data and an AI-generated model, a means for the server to transmit the generated dialogue scenario to the user's terminal, a means for the terminal to display the received dialogue scenario to the user, and a means for the terminal to generate next request data based on the user's selection and transmit it to the server. This allows the user to interact with historical figures and deepen their understanding of history as the story progresses, thereby achieving educational benefits. Furthermore, because the story changes depending on the user's selection, new experiences can be provided even after multiple playthroughs.

[0006] "User" refers to an individual who uses this game system to select the era and historical figure they wish to travel back in time to and enjoys interacting with them.

[0007] "Input means" refers to devices and software that provide an interface for users to select past eras and historical figures and transmit those selections to the system.

[0008] "Server" refers to a computer system whose role is to receive requests from users, obtain appropriate data, generate dialogue scenarios using AI-generated models, and send those scenarios to the user's devices.

[0009] "Historical Database" means a collection of data that stores information relating to a specified period or historical figure and that the server uses to reference that information.

[0010] "AI generative model" refers to an artificial intelligence algorithm or program that generates natural dialogue scenarios based on acquired data.

[0011] A "dialogue scenario" refers to text data containing the content of a conversation between a user and a historical figure.

[0012] "Terminal" refers to a device (e.g., a smartphone or PC) through which a user accesses the system, views dialogue scenarios, and makes selections.

[0013] "Request data" refers to data that a user sends to a server using a terminal to request the generation of a dialogue scenario.

[0014] "Response data" refers to data including a dialogue scenario generated by the server, which is sent to the terminal and displayed to the user. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. This system is realized by user input, server processing, database reference, use of AI generation models, and generation and display of dialogue scenarios.

[0037] First, the user uses the device to select the era they want to travel to and the historical figure they want to meet. This involves the user inputting their choices on the interface. The device receives this input and sends it to the server as request data.

[0038] When the server receives a request from a user, it analyzes the content of the request (e.g., the specified era and person). Then, the server refers to a historical database to retrieve information related to the specified era and person. This information includes historical background and related events.

[0039] Based on the acquired data, the server generates a dialogue scenario using an AI-generated model. The AI-generated model has the algorithms and data necessary to create natural and educationally valuable dialogue. The server compiles the generated dialogue scenario as response data and sends it to the user's device.

[0040] The terminal displays the dialogue scenario received from the server to the user. The user reads the dialogue scenario and selects options as the dialogue progresses. Using the interface that displays the options, the user decides and inputs their next action.

[0041] The device then sends the user's selections to the server again as request data. The server then generates a new dialogue scenario based on the new request data and sends it back to the user. By repeating this process, the user can progress through the story while continuing to interact with historical figures.

[0042] Specific examples are shown below.

[0043] Example 1: Dialogue with a warlord from the Sengoku period

[0044] The user inputs that they would like to meet Oda Nobunaga during the Sengoku period. The server references a historical database related to the Sengoku period and retrieves data related to Oda Nobunaga. The AI ​​generation model uses this data to generate a dialogue scenario with Oda Nobunaga. The generated scenario includes a scene in which Nobunaga discusses strategies for expanding his territory. When the user selects an option based on the scenario, the server generates a new scenario based on that option and provides it to the user.

[0045] Example 2: Dialogue with a Renaissance inventor

[0046] The user inputs that they would like to meet a Renaissance inventor. The server references a historical database related to the Renaissance and retrieves data related to the specified inventor. The AI ​​generative model uses this data to generate a dialogue scenario with the inventor. The generated scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection and provides it to the user.

[0047] In this way, the system provides users with educational value beyond just a game, promoting a deeper understanding of historical figures and events. The story changes dynamically depending on the user's choices, allowing for a diverse experience.

[0048] The processing flow will be explained below.

[0049] Step 1:

[0050] The user selects the era and historical figure they want to travel to on their device, and the request data is generated by completing the input in a specific interface.

[0051] Step 2:

[0052] The terminal transmits the generated request data to the server. The request data includes information on the era and person specified by the user.

[0053] Step 3:

[0054] The server receives the request data from the device, analyzes it, and extracts information related to the appropriate era and person.

[0055] Step 4:

[0056] Based on the extracted information, the server references a historical database to obtain data related to the specified era or person. The historical database stores detailed information and background about the era or person.

[0057] Step 5:

[0058] The server inputs the acquired historical data into the AI ​​generation model, which then generates a dialogue scenario based on this data.

[0059] Step 6:

[0060] The server compiles the generated dialogue scenario into response data, which includes the text of the dialogue scenario.

[0061] Step 7:

[0062] The server sends the response data to the terminal, allowing the user to receive the next dialogue scenario.

[0063] Step 8:

[0064] The terminal displays the received dialogue scenario to the user. The dialogue content is displayed on the screen, and the user reads the scenario and makes the next selection.

[0065] Step 9:

[0066] The user uses the terminal interface to select the next action from the displayed options, which generates the next request data.

[0067] Step 10:

[0068] The terminal sends the generated request data to the server again. The server receives the new request data and performs the dialogue scenario generation process again.

[0069] Step 11:

[0070] By repeating this process, the user can continue to interact with historical figures and progress through the story, resulting in a unique experience in which the content of the dialogue and historical developments change depending on the user's choices.

[0071] The above is the specific processing flow of this system. At each step, the user, terminal, and server play their respective roles, and the entire system functions.

[0072] Example 1

[0073] 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."

[0074] Conventional systems that provide users with educational experiences through dialogue with historical figures have been limited in terms of the naturalness of the dialogue, educational value, and interactivity. Furthermore, systems that promote a deeper understanding of the era or person selected by the user have been inadequate. Therefore, the present invention aims to provide a more advanced, educational, interactive system that allows users to travel back in time and solve problems while interacting with famous historical figures.

[0075] 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.

[0076] In this invention, the server includes an input device for the user to select a past era and historical figure, a device for the server to refer to an information database and acquire related data based on the user's input, a device for generating a dialogue scenario using a generative AI model, means for the server to transmit the generated dialogue scenario to the user's terminal, a device for the terminal to display the dialogue scenario received by the terminal to the user, a device for the terminal to generate next request data based on the user's selection and transmit it to the server, and a device for the server to generate another dialogue scenario based on the user's new selection. This enables a highly educational interactive experience by allowing the user to travel back in time and interact with the historical figure selected.

[0077] A "user" is someone who uses the system to have an educational experience through interaction with past eras and people.

[0078] An "input device" is a means by which a user inputs information for selecting a past era and historical figure into the system.

[0079] A "server" is a computer system that performs processing based on user input, acquires related data, generates a dialogue scenario, and transmits it to the user's terminal.

[0080] An "information database" is a data storage system that stores information about past eras or historical figures.

[0081] A "generative AI model" is an artificial intelligence algorithm that generates dialogue scenarios based on acquired data.

[0082] A "dialogue scenario" is a scenario text for conducting a dialogue with a past era or person specified by the user.

[0083] A "terminal" is a computing device used by a user, which displays the dialogue scenario sent from the server and retransmits input from the user.

[0084] "Request data" is data that records the user's selections and actions, is sent to the server, and is used to generate the next dialogue scenario.

[0085] A "prompt sentence" is an input sentence that causes a generative AI model to generate a dialogue scenario, and is text that contains specific instructions and information that the server passes to the generative AI model.

[0086] This invention is a game system that allows users to travel back in time and solve problems while interacting with famous historical figures. This system is realized by user input, server processing, information database reference, use of generative AI models, and generation and display of dialogue scenarios.

[0087] First, the user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. This selection is made through the device's interface. For example, the user might enter "I would like to meet a famous leader from the Warring States period." The device then sends this input to the server as request data.

[0088] When the server receives a request from a user, it analyzes the content (the specified era and person). The server then references an information database to retrieve information related to the specified era and person. This information includes historical background and related events. The database used may be "Information Database X."

[0089] Based on the acquired data, the server generates a dialogue scenario using a generative AI model (e.g., GPT-4). The AI ​​generative model has the algorithms and data necessary to create natural and educationally valuable dialogue. For example, the following sentences are used as prompts:

[0090] "The user wishes to meet a famous leader from the Warring States period. Please generate a dialogue scenario with this leader, including a discussion about territorial expansion strategies."

[0091] The server compiles the generated dialogue scenario as response data and sends it to the user's device. The device then displays the dialogue scenario received from the server to the user. For example, if the scenario includes a scene in which famous leaders discuss strategies for expanding territory, that content will be displayed on the screen. The user reads this and continues the dialogue.

[0092] As the dialogue progresses, the user selects the next action from multiple options. Using the interface that displays these options, the user decides on and inputs the next action. The terminal then sends the user's selection back to the server as request data.

[0093] The server generates a new dialogue scenario based on the new request data and returns it to the user. By repeating this process, the user can progress through the story while continuing to dialogue with historical figures.

[0094] This allows users to enjoy educational value beyond just playing a game, fostering a deeper understanding of historical events. In addition, the story changes dynamically depending on the user's choices, allowing for a diverse experience.

[0095] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0096] Step 1:

[0097] User: The user uses the device interface to select the past era and historical figure they would like to meet, for example, by typing "I would like to meet a famous leader from the Warring States period."

[0098] Input: User-selected era and person information.

[0099] Output: Sent to the terminal as request data.

[0100] Specific actions: Use the drop-down menus or search boxes on the device interface to select a period or person, then click the send button.

[0101] Step 2:

[0102] Terminal: Sends user input as request data to the server.

[0103] Input: User-selected era and person information.

[0104] Output: The request data sent to the server.

[0105] Specific operation: The terminal generates request data and sends it to the server using a communication protocol (e.g., HTTPS).

[0106] Step 3:

[0107] Server: Receives the request data and analyzes its contents. Extracts information related to the specified era and historical figure.

[0108] Input: Request data.

[0109] Output: Analysis results (information on era and person).

[0110] Specific operation: The database access module reads the contents of the request data, and the query generation function creates a corresponding database query.

[0111] Step 4:

[0112] Server: Refers to the information database and retrieves data related to the specified era or person.

[0113] Input: Analysis results (information on the era and people).

[0114] Output: The retrieved data.

[0115] Specific operation: The database access function executes the generated query and retrieves the corresponding information from "Information Database X."

[0116] Step 5:

[0117] Server: Based on the acquired data, prompt sentences are input into a generative AI model (e.g., GPT-4) to generate a dialogue scenario.

[0118] Input: The retrieved data.

[0119] Output: The generated dialogue scenario.

[0120] Specific operation: A prompt sentence is created for the generative AI model, and related information is provided to the model to request scenario generation.

[0121] Example prompt sentence:

[0122] "The user wishes to meet a famous leader from the Warring States period. Please generate a dialogue scenario with this leader, including a discussion about territorial expansion strategies."

[0123] Step 6:

[0124] Server: Sends the generated dialogue scenario to the terminal as response data.

[0125] Input: The generated dialogue scenario.

[0126] Output: Sent to the terminal as response data.

[0127] Specific operation: The server packages the generated scenario as response data and sends it to the terminal using a communication protocol.

[0128] Step 7:

[0129] Terminal: Displays the received dialogue scenario to the user.

[0130] Input: Response data.

[0131] Output: The dialogue scenario to be displayed.

[0132] Specific operation: The terminal receives the response data and visually presents it to the user using a rendering engine to display it on the screen.

[0133] Step 8:

[0134] User: Read the dialogue scenario and choose the next action from multiple options.

[0135] Input: The displayed dialogue scenario.

[0136] Output: User's choice of next action.

[0137] Specific operation: Click on an option displayed in the user interface to generate the following request data.

[0138] Step 9:

[0139] Terminal: The user's selection is sent to the server again as request data.

[0140] Input: The user's selection.

[0141] Output: The request data to be resent to the server.

[0142] Specific operation: The terminal creates request data based on the user's selection and resends it to the server using the communication protocol.

[0143] Step 10:

[0144] Server: Based on the new request data, a new dialogue scenario is generated using the regenerative AI model.

[0145] Input: New request data.

[0146] Output: The regenerated dialogue scenario.

[0147] Specific operation: A new prompt sentence is input into the generative AI model, and the process of generating a new scenario is repeated.

[0148] Step 11:

[0149] Server: Sends the newly generated scenario to the terminal and displays it to the user, who can continue the dialogue.

[0150] Input: The regenerated dialogue scenario.

[0151] Output: The new scenario retransmitted to the user terminal.

[0152] Specific operation: The server packages the newly generated scenario as response data and sends it to the terminal using a communication protocol. The terminal receives it and displays it to the user.

[0153] (Application example 1)

[0154] 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."

[0155] In modern education and entertainment, there is a lack of ways for users to interact with historical events and figures of the past to gain deeper understanding and learning. Furthermore, the lack of interactive experiences in virtual environments makes it difficult for users to experience historical content in a more realistic way. To address this issue, a system that provides educational content while interacting with past eras and historical figures is needed.

[0156] 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.

[0157] In this invention, the server includes input means for the user to select a past era and historical figure, means for the server to refer to a historical information database and acquire related information based on the user's input, means for the server to generate a dialogue scenario using the acquired information and a generation AI model, means for the server to transmit the generated dialogue scenario to a user terminal, means for the terminal to display the received dialogue scenario to the user, means for providing an interface linked to the virtual environment via a head-mounted display, and means for the terminal to generate next request data based on the user's selection and transmit it to the server. This allows the user to enjoy a realistic experience of high educational value while interacting with historical eras and figures in a virtual environment.

[0158] "User" refers to any individual or entity who utilizes the system to enjoy interacting with past eras and historical figures.

[0159] "Input means" refers to an interface or device that allows a user to select a past era or historical figure, such as a menu displayed on the screen of a smartphone or head-mounted display.

[0160] The "server" is a computer system that receives requests from users, references a historical information database to obtain relevant information, generates a dialogue scenario using a generative AI model, and sends it as a response to the user's terminal.

[0161] A "historical information database" is a database system for storing and managing information about various historical backgrounds and historical figures.

[0162] "Generative AI models" are algorithms and machine learning models used to create natural and educationally valuable dialogue scenarios based on acquired historical information.

[0163] A "dialogue scenario" is a sequence of text and audio that represents a dialogue between a user and a historical figure, generated based on acquired information and a generative AI model.

[0164] "User terminal" refers to a device used by a user to access the system, including a smartphone, smart glasses, a head-mounted display, etc.

[0165] A "head-mounted display" is a device worn by a user that allows them to visually and interactively experience a virtual environment.

[0166] "Request Data" is a data set sent to the server containing information entered by the user to determine the next action.

[0167] This invention provides a game system in which users travel back in time to solve problems while interacting with historical figures. The system is primarily composed of a user terminal, a server, a historical information database, and a generative AI model.

[0168] First, the user uses a user interface to select the past era and historical figure they want to meet. Specifically, they use a selection menu displayed on a smartphone or head-mounted display (HMD). When the user inputs their selection information, the device sends this input as request data to the server.

[0169] The server, which is run using Flask (a framework), receives and analyzes requests from users. The server then accesses a historical information database (e.g., MySQL) to retrieve information related to the era and person specified by the user. This information includes the historical background and related events.

[0170] Next, the server uses a generative AI model (e.g., a model using TensorFlow) to generate a dialogue scenario based on the acquired historical information. The generative AI model has the algorithms and data necessary to create natural and educationally valuable dialogue. The server compiles the generated dialogue scenario as response data and sends it back to the user device.

[0171] The device displays the received dialogue scenario to the user, who then inputs options to select the next action based on the dialogue scenario. When using a head-mounted display, the user enters a virtual environment and can freely interact with historical figures within it.

[0172] For example, if a user selects "French Revolutionary Era" and "Famous Politicians" as a historical figure, the user interface might prompt them with the following:

[0173] plain

[0174] You travel back in time to Paris during the French Revolution. You meet a famous politician. Ask him about the significance of the French Revolution.

[0175] Based on the above prompts, the generative AI model generates educational and interactive dialogue scenarios and provides them to users, allowing them to interact with past eras and historical figures in a virtual environment, providing a realistic and educationally valuable experience.

[0176] As described above, this system combines hardware and software to provide a means of promoting a deeper understanding of historical figures and events.

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

[0178] Step 1:

[0179] The user uses the terminal to select the past era and historical figure they would like to meet. At this time, they input their choices regarding the era and figure using the user interface. The input selection information is sent to the server as request data.

[0180] Input: User-selected period and historical figure

[0181] Output: Request data (selection information)

[0182] Specific operation: The user clicks an option from the menu on the head-mounted display or smartphone screen, and the device sends this information to the server as request data.

[0183] Step 2:

[0184] The server receives and analyzes the request data. Based on the analyzed data, the server references a historical information database to retrieve information related to the specified era or person.

[0185] Input: Request data

[0186] Output: Related historical information (historical background and people's data)

[0187] What happens: The Flask server receives the request, parses it, and queries the MySQL database to get the required information.

[0188] Step 3:

[0189] The server generates a dialogue scenario using the acquired historical information and a generative AI model. The generative AI model generates a dialogue scenario in natural language based on prompt sentences about Paris during the French Revolution and politicians of that era.

[0190] Input: History information, prompt text

[0191] Output: Dialogue scenario

[0192] Specific operation: The server uses TensorFlow to call the generative AI model and generates a dialogue scenario using the prompt, "You have traveled back in time to Paris during the French Revolution. You meet a famous politician. Ask him about the significance of the French Revolution."

[0193] Step 4:

[0194] The server compiles the generated dialogue scenario as response data and transmits it to the user terminal.

[0195] Input: Dialogue scenario

[0196] Output: Response data

[0197] Specific operation: The server converts the generated dialogue scenario into response data and sends it to the user's device.

[0198] Step 5:

[0199] The terminal displays the received dialogue scenario to the user, who reads the displayed dialogue scenario and inputs options to select the next action through the interface.

[0200] Input: Response data (dialogue scenario)

[0201] Output: User's choice

[0202] Specific operation: A dialogue scenario is displayed on the head-mounted display or smartphone screen, and the user selects the following options:

[0203] Step 6:

[0204] After the user inputs a choice for selecting the next action, the terminal transmits the selection to the server again as request data.

[0205] Input: User's choice

[0206] Output: Request data

[0207] Specific operation: The user inputs the next option through the interface, and the terminal again sends the information to the server as request data.

[0208] 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.

[0209] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the aim is to improve the quality of the dialogue and enrich the user experience. This system is realized by user input, server processing, database reference, use of AI generation models, the emotion engine, and the generation and display of dialogue scenarios.

[0210] First, the user uses the device to select the era they want to travel to and the historical figure they want to meet. This involves the user inputting their choices on the interface. The device receives this input and sends it to the server as request data.

[0211] When the server receives a request from a user, it analyzes the content of the request (e.g., the specified era and person). Then, the server refers to a historical database to retrieve information related to the specified era and person. This information includes historical background and related events.

[0212] Based on the acquired data, the server generates a dialogue scenario using an AI generation model. The AI ​​generation model has the algorithms and data necessary to create natural dialogue that is educationally valuable. The server then combines an emotion engine, which analyzes the user's dialogue content and reactions to options and recognizes the user's emotions.

[0213] The server dynamically adjusts the dialogue scenario based on the user's emotions. For example, if the user expresses surprise during a dialogue, the server can provide content tailored to that reaction in the next scenario. This makes the dialogue feel more natural and immersive.

[0214] The generated dialogue scenario is compiled as response data and sent to the user's terminal. The terminal displays the received dialogue scenario to the user. The user reads the dialogue scenario and makes their next choice. Using an interface that displays options, the user decides on and inputs their next action.

[0215] The device then sends the user's selection to the server again as request data. The server then generates a new dialogue scenario based on the new request data. At this time, the emotion engine again recognizes the user's emotions and reflects them in the scenario.

[0216] Specific examples are shown below.

[0217] Example 1: Dialogue with a warlord from the Sengoku period

[0218] The user inputs that they would like to meet a famous warlord from the Warring States period. The server references a historical database related to the Warring States period and retrieves data related to the specified warlord. The AI ​​generation model and emotion engine use this data to generate a dialogue scenario. The generated scenario includes a scene in which the warlords discuss strategy. When the user selects an option based on the scenario, the server generates a new scenario based on that option. At this time, the emotion engine recognizes the user's reaction and reflects it in the next scenario.

[0219] Example 2: Dialogue with a Renaissance inventor

[0220] The user inputs that they would like to meet a famous inventor from the Renaissance. The server references a historical database related to the Renaissance and retrieves data related to the specified inventor. The AI ​​generation model and emotion engine use this data to generate a dialogue scenario. The generated scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the emotion engine recognizes the user's reaction and reflects it in the next scenario.

[0221] In this way, the system provides users with educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0222] The processing flow will be explained below.

[0223] Step 1:

[0224] The user selects the era and historical figure they wish to travel to on their device, enters their choices using a specific interface, and presses the submit button.

[0225] Step 2:

[0226] The terminal transmits the generated request data to the server. The request data includes information on the era and person specified by the user.

[0227] Step 3:

[0228] The server receives the request data from the device, analyzes it, and extracts information related to the appropriate era and person.

[0229] Step 4:

[0230] Based on the information extracted by the server, the server references a historical database that contains detailed information and background on the specified era or person to obtain data related to the specified era or person.

[0231] Step 5:

[0232] The server inputs the acquired historical data into an AI generation model, which then generates a dialogue scenario based on this data. The generation process uses a pre-trained algorithm.

[0233] Step 6:

[0234] The server passes the generated dialogue scenario to the emotion engine, which analyzes the emotional elements in the dialogue scenario and adjusts the scenario so that the user's emotions are clearly reflected.

[0235] Step 7:

[0236] The server compiles a dialogue scenario that reflects the analysis results of the emotion engine into final response data, which includes the content of the dialogue with the user.

[0237] Step 8:

[0238] The server sends the response data to the terminal, allowing the user to receive the next dialogue scenario.

[0239] Step 9:

[0240] The terminal displays the received dialogue scenario to the user. The dialogue content is displayed on the screen, and the user reads the scenario and makes the next selection.

[0241] Step 10:

[0242] The user uses the terminal interface to select the next action from the displayed options, which generates the next request data.

[0243] Step 11:

[0244] The terminal sends the generated request data to the server again. The server receives the new request data and performs the dialogue scenario generation process again.

[0245] Step 12:

[0246] The server then uses the emotion engine to recognize the user's emotions again and reflect them in a new dialogue scenario. By repeating this process, the user can continue to interact with historical figures and progress the story.

[0247] The above is the specific processing flow of the system that combines the emotion engine. At each step, the user, device, and server play their respective roles, and the system as a whole functions.

[0248] Example 2

[0249] 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."

[0250] Conventional interactive game systems have limited user experience because they do not consider the user's emotions and the quality of the dialogue is constant. Furthermore, even games themed around dialogue with historical figures cannot dynamically adjust the scenario based on the user's choices. This makes it difficult for users to have a diverse and immersive experience.

[0251] 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.

[0252] In this invention, the server includes an input means, a means for referencing a database to acquire related data, a means for generating a dialogue scenario using a generative AI model, and a means for recognizing a user's emotions using an emotion analysis engine and dynamically adjusting the dialogue scenario, thereby dynamically changing the dialogue scenario according to the user's emotions, enabling a more diverse and richer experience.

[0253] "Users" are people who use the system to enjoy dialogue with past eras and historical figures.

[0254] The "input means" is an interface that allows the user to select a past era and historical figure.

[0255] A "server" is a computer system that processes data based on user input, generates a dialogue scenario, and transmits it to a terminal.

[0256] A "database" is a data storage that stores historical data and is referenced by the server.

[0257] The "means for obtaining related data" is a function that allows the server to collect necessary information from a database based on the era and person specified by the user.

[0258] A "generative AI model" is a software model that includes algorithms and training data that generate natural and educationally valuable dialogue scenarios based on acquired data.

[0259] "Means for generating dialogue scenarios" refers to a function that creates dialogue content using a generative AI model.

[0260] An "emotion analysis engine" is a software component that recognizes emotions based on user input and selections and adjusts the dialogue scenario to match those emotions.

[0261] The "means for dynamically adjusting the dialogue scenario" is a function that changes the dialogue content according to the user's emotions based on the output of the emotion analysis engine.

[0262] A "terminal" is a device that allows a user to access the system, input options, and display dialogue scenarios.

[0263] "Request data" is data used to convey user selections and inputs to the server.

[0264] This invention is a game system in which users experience past eras and solve problems through dialogue with famous historical figures. The system is implemented through user input, server processing, database reference, use of generative AI models, a sentiment analysis engine, and the generation and display of dialogue scenarios. Specific implementation methods for the system are described below.

[0265] User Input

[0266] The user uses the terminal to select the era to which they would like to travel back in time and the historical figure they would like to meet. This input is made on the terminal's interface, and the terminal sends this input to the server as request data.

[0267] Server Processing

[0268] When the server receives a request from a user, it analyzes the content of the request (the specified era and person), then references the history database to retrieve relevant information, including historical background and related events.

[0269] Dialogue scenario generation and sentiment analysis

[0270] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. This generative AI model includes algorithms and data for generating natural dialogue that is educationally valuable. The server also recognizes the user's emotions using an emotion analysis engine. The emotion analysis engine analyzes the user's dialogue content and reactions to options to recognize the user's emotions.

[0271] Adjusting the dialogue scenario

[0272] The server dynamically adjusts the dialogue scenario based on the user's emotions. For example, if the user expresses surprise, the server will adapt the scenario to reflect that emotion, making the dialogue more natural and immersive.

[0273] Viewing dialogue scenarios

[0274] The server compiles the generated dialogue scenario as response data and sends it to the terminal. The terminal displays this dialogue scenario to the user. The user reads the displayed scenario, decides on the next action, and inputs their choices.

[0275] Specific examples

[0276] Specific examples are shown below.

[0277] Example 1: Dialogue with a warlord from the Sengoku period

[0278] The user inputs "I want to meet a warlord from the Sengoku period." The server references a database related to the Sengoku period and retrieves data related to the specified warlord. The generative AI model and sentiment analysis engine use this data to generate a dialogue scenario. The scenario includes a scene in which the warlords discuss strategy. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the sentiment analysis engine recognizes the user's reaction and reflects it in the next scenario.

[0279] Example 2: Dialogue with a Renaissance inventor

[0280] The user enters "I want to meet a Renaissance inventor." The server references a database related to the Renaissance and retrieves data related to the specified inventor. The generative AI model and sentiment analysis engine use this data to generate a dialogue scenario. The scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the sentiment analysis engine recognizes the user's reaction and reflects it in the next scenario.

[0281] This allows the invention to offer users educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0282] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0283] Step 1:

[0284] The user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. This input is made on the device's interface. For example, the user enters "I would like to meet a warlord from the Sengoku period." The options entered by the user are generated as request data as output.

[0285] Specific operation: The user types the specified era and person into the input fields of the interface and presses the "Submit" button.

[0286] Step 2:

[0287] The terminal sends request data to the server. As input, it receives request data including the user's choices. As output, it sends data to the server as an HTTP request.

[0288] What it does: The software on the device captures user input, creates an HTTP request, and sends it to the server.

[0289] Step 3:

[0290] The server analyzes the received request data and identifies the specified era and person. As input, it receives the request data sent from the terminal. As output, the analysis results are prepared as a database query.

[0291] Specific operation: The server parses the request data in JSON format and extracts the specified era and person.

[0292] Step 4:

[0293] The server refers to the historical database and retrieves information related to the specified period and person. As input, it receives the analysis results (period and person). As output, it returns the retrieved historical data.

[0294] Specific behavior: The server executes an SQL query to gather data related to the specified era and person.

[0295] Step 5:

[0296] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. As input, it receives the acquired historical data and supplies it to the generative AI model. As output, it obtains the generated dialogue scenario.

[0297] Specific operation: The server sends prompt sentences to the generative AI model (e.g., GPT-4) to generate a dialogue scenario.

[0298] Step 6:

[0299] The server uses a sentiment analysis engine to recognize the user's sentiment. As input, it receives data including the user's dialogue and choices. As output, it returns the user's sentiment score.

[0300] Specific operation: The server passes the user's text input to the sentiment analysis engine and obtains a sentiment score.

[0301] Step 7:

[0302] The server dynamically adjusts the dialogue scenario based on the recognized user emotion. As input, it receives the emotion score and the generated dialogue scenario. As output, it obtains the adjusted dialogue scenario.

[0303] Specific operation: The content of the dialogue scenario is changed according to the emotion score, and the next scenario is constructed.

[0304] Step 8:

[0305] The server sends the generated dialogue scenario to the terminal as response data. As input, it receives the adjusted dialogue scenario. As output, it sends response data in JSON format to the terminal.

[0306] Specific operation: The server constructs the generated scenario in JSON format and sends it to the terminal as an HTTP response.

[0307] Step 9:

[0308] The terminal displays the received dialogue scenario to the user. As input, it receives response data from the server. As output, the user can visually check the dialogue scenario.

[0309] Specific operation: The terminal's GUI displays the dialogue scenario in a text box or dialogue screen.

[0310] Step 10:

[0311] The user selects the next action based on the scenario. As input, a new option is generated based on the dialogue scenario. As output, a new option is generated and sent to the server again as request data.

[0312] Specific actions: The user selects a displayed option, enters the option, and presses the "Submit" button.

[0313] (Application example 2)

[0314] 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."

[0315] In conventional history education and entertainment content, it has been difficult to provide an interactive experience that changes dynamically according to the user's emotions and choices. Furthermore, the means for providing immersive content are limited, making it difficult to improve the quality of the user experience. In this situation, there has been a demand for the development of a game system that allows users to travel back in time and solve problems while interacting with famous historical figures.

[0316] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state using an emotion engine and dynamically adjusting a dialogue scenario, means for generating immersive visual content using a VR rendering engine in the terminal, and means for generating a natural dialogue scenario using a generative AI model. This enables an interactive experience that changes dynamically according to the user's emotions and selections, and can improve the quality of the user experience by providing immersive visual content.

[0317] The "input means" is a means by which the user selects a past era and a historical figure.

[0318] A "database" is a source of information that stores information about past periods and historical figures.

[0319] A "generative AI model" is an artificial intelligence model that generates dialogue scenarios based on acquired information.

[0320] The "emotion engine" is an engine that analyzes the user's emotional state and dynamically adjusts the dialogue scenario based on that.

[0321] A "VR rendering engine" is an engine that integrates interactive scenarios and visual content to generate immersive virtual reality experiences.

[0322] A "dialogue scenario" is a series of stories or conversation scenarios that are generated for the user to interact with a past era or historical figure selected by the user.

[0323] A "terminal" is a device that a user uses to display and operate an interaction scenario.

[0324] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. By combining it with an emotion engine that recognizes the user's emotions, the aim is to improve the quality of the dialogue and enrich the user experience. This system is realized by user input, server processing, database reference, use of generative AI models, the emotion engine, and the generation and display of dialogue scenarios.

[0325] First, the user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. The device is equipped with an input means for the user to enter their selection. The device receives this input and sends it to the server as request data.

[0326] When the server receives a request from a user, it analyzes the content of the request (for example, the specified era and person). The server then references the database to retrieve information related to the specified era and person, including historical background and related events.

[0327] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. The generative AI model has the algorithms and data necessary to create natural and educationally valuable dialogue. An example of a prompt sentence to input to the generative AI model is shown below:

[0328] Generate a dialogue where the user wants to meet a Renaissance inventor. Renaissance inventors made significant contributions to human progress. The user expresses joy.

[0329] The server combines an emotion engine, which analyzes the user's dialogue content and reactions to options to recognize the user's emotions. Based on the recognized user emotions, the dialogue scenario is dynamically adjusted. For example, if the user expresses joy during a dialogue, the next scenario can provide content tailored to that reaction. This makes the dialogue more natural and immersive.

[0330] The generated dialogue scenario is compiled as response data and sent to the user's device. The device displays the received dialogue scenario to the user. The user reads the dialogue scenario and makes their next choice. Using an interface displaying options, the user decides on and inputs their next action. The device then sends the user's choice back to the server as request data. This process is repeated, constantly generating a new scenario that reflects the user's emotions and choices.

[0331] Furthermore, the device uses a VR rendering engine to generate immersive visual content, which realistically recreates historical events and settings, allowing users to experience the experience as if they were actually there. The hardware used includes VR head-mounted displays (e.g., Oculus Rift, HTC Vive).

[0332] In this way, the system provides users with educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0333] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0334] Step 1:

[0335] A user uses a terminal to select a past era and a historical figure they would like to meet. Specifically, the user inputs their selections through the interface on the terminal, and this input is sent by the terminal to the server as request data. The input is information about the selected era and figure, and the output is the request data sent to the server.

[0336] Step 2:

[0337] The server receives request data from the user and retrieves data related to the specified period and person. Specifically, the server references a database to extract historical information corresponding to the request. The input is the request data, a query is made to the database, and the output is the retrieved historical information.

[0338] Step 3:

[0339] Based on the historical information acquired by the server, a prompt sentence is passed to the generative AI model to generate a dialogue scenario. Specifically, a prompt sentence is created based on the historical information, the user's request, and the analysis results of the emotion engine, and this is then input into the generative AI model. The input is the prompt sentence, and the output is the generated dialogue scenario.

[0340] Step 4:

[0341] The server compiles the generated dialogue scenario as response data and sends it to the user's device. Specifically, the generated dialogue scenario is formatted in JSON format or similar and sent to the device. The input is the generated dialogue scenario, and the output is the response data sent to the device.

[0342] Step 5:

[0343] The dialogue scenario received by the device is displayed to the user. Specifically, the dialogue scenario is visually displayed using the device's display or a VR head-mounted display. The input is the response data from the server, and the output is the dialogue scenario displayed to the user.

[0344] Step 6:

[0345] The terminal receives the user's selection and sends it back to the server. Specifically, the user inputs options through the interface and sends the selection data to the server as request data. The input is the user's selection, and the output is the request data to the server.

[0346] Step 7:

[0347] The server uses an emotion engine to analyze the user's emotional state and dynamically adjust the dialogue scenario. Specifically, it analyzes the user's choices and reactions during the dialogue and appropriately changes the content and difficulty of the scenario. The input is the user's choices and emotional data, and the output is the adjusted dialogue scenario.

[0348] Step 8:

[0349] The terminal uses a VR rendering engine to generate immersive visual content. Specifically, it generates a VR scene based on the adjusted interaction scenario and the acquired historical information and displays it to the user. The input is the adjusted interaction scenario and historical information, and the output is the VR-rendered visual content.

[0350] 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.

[0351] 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.

[0352] 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.

[0353] [Second embodiment]

[0354] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0355] 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.

[0356] 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).

[0357] 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.

[0358] 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.

[0359] 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).

[0360] 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.

[0361] 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.

[0362] 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.

[0363] 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.

[0364] 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.

[0365] 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."

[0366] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. This system is realized by user input, server processing, database reference, use of AI generation models, and generation and display of dialogue scenarios.

[0367] First, the user uses the device to select the era they want to travel to and the historical figure they want to meet. This involves the user inputting their choices on the interface. The device receives this input and sends it to the server as request data.

[0368] When the server receives a request from a user, it analyzes the content of the request (e.g., the specified era and person). Then, the server refers to a historical database to retrieve information related to the specified era and person. This information includes historical background and related events.

[0369] Based on the acquired data, the server generates a dialogue scenario using an AI-generated model. The AI-generated model has the algorithms and data necessary to create natural and educationally valuable dialogue. The server compiles the generated dialogue scenario as response data and sends it to the user's device.

[0370] The terminal displays the dialogue scenario received from the server to the user. The user reads the dialogue scenario and selects options as the dialogue progresses. Using the interface that displays the options, the user decides and inputs their next action.

[0371] The device then sends the user's selections to the server again as request data. The server then generates a new dialogue scenario based on the new request data and sends it back to the user. By repeating this process, the user can progress through the story while continuing to interact with historical figures.

[0372] Specific examples are shown below.

[0373] Example 1: Dialogue with a warlord from the Sengoku period

[0374] The user inputs that they would like to meet Oda Nobunaga during the Sengoku period. The server references a historical database related to the Sengoku period and retrieves data related to Oda Nobunaga. The AI ​​generation model uses this data to generate a dialogue scenario with Oda Nobunaga. The generated scenario includes a scene in which Nobunaga discusses strategies for expanding his territory. When the user selects an option based on the scenario, the server generates a new scenario based on that option and provides it to the user.

[0375] Example 2: Dialogue with a Renaissance inventor

[0376] The user inputs that they would like to meet a Renaissance inventor. The server references a historical database related to the Renaissance and retrieves data related to the specified inventor. The AI ​​generative model uses this data to generate a dialogue scenario with the inventor. The generated scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection and provides it to the user.

[0377] In this way, the system provides users with educational value beyond just a game, promoting a deeper understanding of historical figures and events. The story changes dynamically depending on the user's choices, allowing for a diverse experience.

[0378] The processing flow will be explained below.

[0379] Step 1:

[0380] The user selects the era and historical figure they want to travel to on their device, and the request data is generated by completing the input in a specific interface.

[0381] Step 2:

[0382] The terminal transmits the generated request data to the server. The request data includes information on the era and person specified by the user.

[0383] Step 3:

[0384] The server receives the request data from the device, analyzes it, and extracts information related to the appropriate era and person.

[0385] Step 4:

[0386] Based on the extracted information, the server references a historical database to obtain data related to the specified era or person. The historical database stores detailed information and background about the era or person.

[0387] Step 5:

[0388] The server inputs the acquired historical data into the AI ​​generation model, which then generates a dialogue scenario based on this data.

[0389] Step 6:

[0390] The server compiles the generated dialogue scenario into response data, which includes the text of the dialogue scenario.

[0391] Step 7:

[0392] The server sends the response data to the terminal, allowing the user to receive the next dialogue scenario.

[0393] Step 8:

[0394] The terminal displays the received dialogue scenario to the user. The dialogue content is displayed on the screen, and the user reads the scenario and makes the next selection.

[0395] Step 9:

[0396] The user uses the terminal interface to select the next action from the displayed options, which generates the next request data.

[0397] Step 10:

[0398] The terminal sends the generated request data to the server again. The server receives the new request data and performs the dialogue scenario generation process again.

[0399] Step 11:

[0400] By repeating this process, the user can continue to interact with historical figures and progress through the story, resulting in a unique experience in which the content of the dialogue and historical developments change depending on the user's choices.

[0401] The above is the specific processing flow of this system. At each step, the user, terminal, and server play their respective roles, and the entire system functions.

[0402] Example 1

[0403] 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."

[0404] Conventional systems that provide users with educational experiences through dialogue with historical figures have been limited in terms of the naturalness of the dialogue, educational value, and interactivity. Furthermore, systems that promote a deeper understanding of the era or person selected by the user have been inadequate. Therefore, the present invention aims to provide a more advanced, educational, interactive system that allows users to travel back in time and solve problems while interacting with famous historical figures.

[0405] 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.

[0406] In this invention, the server includes an input device for the user to select a past era and historical figure, a device for the server to refer to an information database and acquire related data based on the user's input, a device for generating a dialogue scenario using a generative AI model, means for the server to transmit the generated dialogue scenario to the user's terminal, a device for the terminal to display the dialogue scenario received by the terminal to the user, a device for the terminal to generate next request data based on the user's selection and transmit it to the server, and a device for the server to generate another dialogue scenario based on the user's new selection. This enables a highly educational interactive experience by allowing the user to travel back in time and interact with the historical figure selected.

[0407] A "user" is someone who uses the system to have an educational experience through interaction with past eras and people.

[0408] An "input device" is a means by which a user inputs information for selecting a past era and historical figure into the system.

[0409] A "server" is a computer system that performs processing based on user input, acquires related data, generates a dialogue scenario, and transmits it to the user's terminal.

[0410] An "information database" is a data storage system that stores information about past eras or historical figures.

[0411] A "generative AI model" is an artificial intelligence algorithm that generates dialogue scenarios based on acquired data.

[0412] A "dialogue scenario" is a scenario text for conducting a dialogue with a past era or person specified by the user.

[0413] A "terminal" is a computing device used by a user, which displays the dialogue scenario sent from the server and retransmits input from the user.

[0414] "Request data" is data that records the user's selections and actions, is sent to the server, and is used to generate the next dialogue scenario.

[0415] A "prompt sentence" is an input sentence that causes a generative AI model to generate a dialogue scenario, and is text that contains specific instructions and information that the server passes to the generative AI model.

[0416] This invention is a game system that allows users to travel back in time and solve problems while interacting with famous historical figures. This system is realized by user input, server processing, information database reference, use of generative AI models, and generation and display of dialogue scenarios.

[0417] First, the user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. This selection is made through the device's interface. For example, the user might enter "I would like to meet a famous leader from the Warring States period." The device then sends this input to the server as request data.

[0418] When the server receives a request from a user, it analyzes the content (the specified era and person). The server then references an information database to retrieve information related to the specified era and person. This information includes historical background and related events. The database used may be "Information Database X."

[0419] Based on the acquired data, the server generates a dialogue scenario using a generative AI model (e.g., GPT-4). The AI ​​generative model has the algorithms and data necessary to create natural and educationally valuable dialogue. For example, the following sentences are used as prompts:

[0420] "The user wishes to meet a famous leader from the Warring States period. Please generate a dialogue scenario with this leader, including a discussion about territorial expansion strategies."

[0421] The server compiles the generated dialogue scenario as response data and sends it to the user's device. The device then displays the dialogue scenario received from the server to the user. For example, if the scenario includes a scene in which famous leaders discuss strategies for expanding territory, that content will be displayed on the screen. The user reads this and continues the dialogue.

[0422] As the dialogue progresses, the user selects the next action from multiple options. Using the interface that displays these options, the user decides on and inputs the next action. The terminal then sends the user's selection back to the server as request data.

[0423] The server generates a new dialogue scenario based on the new request data and returns it to the user. By repeating this process, the user can progress through the story while continuing to dialogue with historical figures.

[0424] This allows users to enjoy educational value beyond just playing a game, fostering a deeper understanding of historical events. In addition, the story changes dynamically depending on the user's choices, allowing for a diverse experience.

[0425] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0426] Step 1:

[0427] User: The user uses the device interface to select the past era and historical figure they would like to meet, for example, by typing "I would like to meet a famous leader from the Warring States period."

[0428] Input: User-selected era and person information.

[0429] Output: Sent to the terminal as request data.

[0430] Specific actions: Use the drop-down menus or search boxes on the device interface to select a period or person, then click the send button.

[0431] Step 2:

[0432] Terminal: Sends user input as request data to the server.

[0433] Input: User-selected era and person information.

[0434] Output: The request data sent to the server.

[0435] Specific operation: The terminal generates request data and sends it to the server using a communication protocol (e.g., HTTPS).

[0436] Step 3:

[0437] Server: Receives the request data and analyzes its contents. Extracts information related to the specified era and historical figure.

[0438] Input: Request data.

[0439] Output: Analysis results (information on era and person).

[0440] Specific operation: The database access module reads the contents of the request data, and the query generation function creates a corresponding database query.

[0441] Step 4:

[0442] Server: Refers to the information database and retrieves data related to the specified era or person.

[0443] Input: Analysis results (information on the era and people).

[0444] Output: The retrieved data.

[0445] Specific operation: The database access function executes the generated query and retrieves the corresponding information from "Information Database X."

[0446] Step 5:

[0447] Server: Based on the acquired data, prompt sentences are input into a generative AI model (e.g., GPT-4) to generate a dialogue scenario.

[0448] Input: The retrieved data.

[0449] Output: The generated dialogue scenario.

[0450] Specific operation: A prompt sentence is created for the generative AI model, and related information is provided to the model to request scenario generation.

[0451] Example prompt sentence:

[0452] "The user wishes to meet a famous leader from the Warring States period. Please generate a dialogue scenario with this leader, including a discussion about territorial expansion strategies."

[0453] Step 6:

[0454] Server: Sends the generated dialogue scenario to the terminal as response data.

[0455] Input: The generated dialogue scenario.

[0456] Output: Sent to the terminal as response data.

[0457] Specific operation: The server packages the generated scenario as response data and sends it to the terminal using a communication protocol.

[0458] Step 7:

[0459] Terminal: Displays the received dialogue scenario to the user.

[0460] Input: Response data.

[0461] Output: The dialogue scenario to be displayed.

[0462] Specific operation: The terminal receives the response data and visually presents it to the user using a rendering engine to display it on the screen.

[0463] Step 8:

[0464] User: Read the dialogue scenario and choose the next action from multiple options.

[0465] Input: The displayed dialogue scenario.

[0466] Output: User's choice of next action.

[0467] Specific operation: Click on an option displayed in the user interface to generate the following request data.

[0468] Step 9:

[0469] Terminal: The user's selection is sent to the server again as request data.

[0470] Input: The user's selection.

[0471] Output: The request data to be resent to the server.

[0472] Specific operation: The terminal creates request data based on the user's selection and resends it to the server using the communication protocol.

[0473] Step 10:

[0474] Server: Based on the new request data, a new dialogue scenario is generated using the regenerative AI model.

[0475] Input: New request data.

[0476] Output: The regenerated dialogue scenario.

[0477] Specific operation: A new prompt sentence is input into the generative AI model, and the process of generating a new scenario is repeated.

[0478] Step 11:

[0479] Server: Sends the newly generated scenario to the terminal and displays it to the user, who can continue the dialogue.

[0480] Input: The regenerated dialogue scenario.

[0481] Output: The new scenario retransmitted to the user terminal.

[0482] Specific operation: The server packages the newly generated scenario as response data and sends it to the terminal using a communication protocol. The terminal receives it and displays it to the user.

[0483] (Application example 1)

[0484] 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."

[0485] In modern education and entertainment, there is a lack of ways for users to interact with historical events and figures of the past to gain deeper understanding and learning. Furthermore, the lack of interactive experiences in virtual environments makes it difficult for users to experience historical content in a more realistic way. To address this issue, a system that provides educational content while interacting with past eras and historical figures is needed.

[0486] 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.

[0487] In this invention, the server includes input means for the user to select a past era and historical figure, means for the server to refer to a historical information database and acquire related information based on the user's input, means for the server to generate a dialogue scenario using the acquired information and a generation AI model, means for the server to transmit the generated dialogue scenario to a user terminal, means for the terminal to display the received dialogue scenario to the user, means for providing an interface linked to the virtual environment via a head-mounted display, and means for the terminal to generate next request data based on the user's selection and transmit it to the server. This allows the user to enjoy a realistic experience of high educational value while interacting with historical eras and figures in a virtual environment.

[0488] "User" refers to any individual or entity who utilizes the system to enjoy interacting with past eras and historical figures.

[0489] "Input means" refers to an interface or device that allows a user to select a past era or historical figure, such as a menu displayed on the screen of a smartphone or head-mounted display.

[0490] The "server" is a computer system that receives requests from users, references a historical information database to obtain relevant information, generates a dialogue scenario using a generative AI model, and sends it as a response to the user's terminal.

[0491] A "historical information database" is a database system for storing and managing information about various historical backgrounds and historical figures.

[0492] "Generative AI models" are algorithms and machine learning models used to create natural and educationally valuable dialogue scenarios based on acquired historical information.

[0493] A "dialogue scenario" is a sequence of text and audio that represents a dialogue between a user and a historical figure, generated based on acquired information and a generative AI model.

[0494] "User terminal" refers to a device used by a user to access the system, including a smartphone, smart glasses, a head-mounted display, etc.

[0495] A "head-mounted display" is a device worn by a user that allows them to visually and interactively experience a virtual environment.

[0496] "Request Data" is a data set sent to the server containing information entered by the user to determine the next action.

[0497] This invention provides a game system in which users travel back in time to solve problems while interacting with historical figures. The system is primarily composed of a user terminal, a server, a historical information database, and a generative AI model.

[0498] First, the user uses a user interface to select the past era and historical figure they want to meet. Specifically, they use a selection menu displayed on a smartphone or head-mounted display (HMD). When the user inputs their selection information, the device sends this input as request data to the server.

[0499] The server, which is run using Flask (a framework), receives and analyzes requests from users. The server then accesses a historical information database (e.g., MySQL) to retrieve information related to the era and person specified by the user. This information includes the historical background and related events.

[0500] Next, the server uses a generative AI model (e.g., a model using TensorFlow) to generate a dialogue scenario based on the acquired historical information. The generative AI model has the algorithms and data necessary to create natural and educationally valuable dialogue. The server compiles the generated dialogue scenario as response data and sends it back to the user device.

[0501] The device displays the received dialogue scenario to the user, who then inputs options to select the next action based on the dialogue scenario. When using a head-mounted display, the user enters a virtual environment and can freely interact with historical figures within it.

[0502] For example, if a user selects "French Revolutionary Era" and "Famous Politicians" as a historical figure, the user interface might prompt them with the following:

[0503] plain

[0504] You travel back in time to Paris during the French Revolution. You meet a famous politician. Ask him about the significance of the French Revolution.

[0505] Based on the above prompts, the generative AI model generates educational and interactive dialogue scenarios and provides them to users, allowing them to interact with past eras and historical figures in a virtual environment, providing a realistic and educationally valuable experience.

[0506] As described above, this system combines hardware and software to provide a means of promoting a deeper understanding of historical figures and events.

[0507] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0508] Step 1:

[0509] The user uses the terminal to select the past era and historical figure they would like to meet. At this time, they input their choices regarding the era and figure using the user interface. The input selection information is sent to the server as request data.

[0510] Input: User-selected period and historical figure

[0511] Output: Request data (selection information)

[0512] Specific operation: The user clicks an option from the menu on the head-mounted display or smartphone screen, and the device sends this information to the server as request data.

[0513] Step 2:

[0514] The server receives and analyzes the request data. Based on the analyzed data, the server references a historical information database to retrieve information related to the specified era or person.

[0515] Input: Request data

[0516] Output: Related historical information (historical background and people's data)

[0517] What happens: The Flask server receives the request, parses it, and queries the MySQL database to get the required information.

[0518] Step 3:

[0519] The server generates a dialogue scenario using the acquired historical information and a generative AI model. The generative AI model generates a dialogue scenario in natural language based on prompt sentences about Paris during the French Revolution and politicians of that era.

[0520] Input: History information, prompt text

[0521] Output: Dialogue scenario

[0522] Specific operation: The server uses TensorFlow to call the generative AI model and generates a dialogue scenario using the prompt, "You have traveled back in time to Paris during the French Revolution. You meet a famous politician. Ask him about the significance of the French Revolution."

[0523] Step 4:

[0524] The server compiles the generated dialogue scenario as response data and transmits it to the user terminal.

[0525] Input: Dialogue scenario

[0526] Output: Response data

[0527] Specific operation: The server converts the generated dialogue scenario into response data and sends it to the user's device.

[0528] Step 5:

[0529] The terminal displays the received dialogue scenario to the user, who reads the displayed dialogue scenario and inputs options to select the next action through the interface.

[0530] Input: Response data (dialogue scenario)

[0531] Output: User's choice

[0532] Specific operation: A dialogue scenario is displayed on the head-mounted display or smartphone screen, and the user selects the following options:

[0533] Step 6:

[0534] After the user inputs a choice for selecting the next action, the terminal transmits the selection to the server again as request data.

[0535] Input: User's choice

[0536] Output: Request data

[0537] Specific operation: The user inputs the next option through the interface, and the terminal again sends the information to the server as request data.

[0538] 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.

[0539] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the aim is to improve the quality of the dialogue and enrich the user experience. This system is realized by user input, server processing, database reference, use of AI generation models, the emotion engine, and the generation and display of dialogue scenarios.

[0540] First, the user uses the device to select the era they want to travel to and the historical figure they want to meet. This involves the user inputting their choices on the interface. The device receives this input and sends it to the server as request data.

[0541] When the server receives a request from a user, it analyzes the content of the request (e.g., the specified era and person). Then, the server refers to a historical database to retrieve information related to the specified era and person. This information includes historical background and related events.

[0542] Based on the acquired data, the server generates a dialogue scenario using an AI generation model. The AI ​​generation model has the algorithms and data necessary to create natural dialogue that is educationally valuable. The server then combines an emotion engine, which analyzes the user's dialogue content and reactions to options and recognizes the user's emotions.

[0543] The server dynamically adjusts the dialogue scenario based on the user's emotions. For example, if the user expresses surprise during a dialogue, the server can provide content tailored to that reaction in the next scenario. This makes the dialogue feel more natural and immersive.

[0544] The generated dialogue scenario is compiled as response data and sent to the user's terminal. The terminal displays the received dialogue scenario to the user. The user reads the dialogue scenario and makes their next choice. Using an interface that displays options, the user decides on and inputs their next action.

[0545] The device then sends the user's selection to the server again as request data. The server then generates a new dialogue scenario based on the new request data. At this time, the emotion engine again recognizes the user's emotions and reflects them in the scenario.

[0546] Specific examples are shown below.

[0547] Example 1: Dialogue with a warlord from the Sengoku period

[0548] The user inputs that they would like to meet a famous warlord from the Warring States period. The server references a historical database related to the Warring States period and retrieves data related to the specified warlord. The AI ​​generation model and emotion engine use this data to generate a dialogue scenario. The generated scenario includes a scene in which the warlords discuss strategy. When the user selects an option based on the scenario, the server generates a new scenario based on that option. At this time, the emotion engine recognizes the user's reaction and reflects it in the next scenario.

[0549] Example 2: Dialogue with a Renaissance inventor

[0550] The user inputs that they would like to meet a famous inventor from the Renaissance. The server references a historical database related to the Renaissance and retrieves data related to the specified inventor. The AI ​​generation model and emotion engine use this data to generate a dialogue scenario. The generated scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the emotion engine recognizes the user's reaction and reflects it in the next scenario.

[0551] In this way, the system provides users with educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0552] The processing flow will be explained below.

[0553] Step 1:

[0554] The user selects the era and historical figure they wish to travel to on their device, enters their choices using a specific interface, and presses the submit button.

[0555] Step 2:

[0556] The terminal transmits the generated request data to the server. The request data includes information on the era and person specified by the user.

[0557] Step 3:

[0558] The server receives the request data from the device, analyzes it, and extracts information related to the appropriate era and person.

[0559] Step 4:

[0560] Based on the information extracted by the server, the server references a historical database that contains detailed information and background on the specified era or person to obtain data related to the specified era or person.

[0561] Step 5:

[0562] The server inputs the acquired historical data into an AI generation model, which then generates a dialogue scenario based on this data. The generation process uses a pre-trained algorithm.

[0563] Step 6:

[0564] The server passes the generated dialogue scenario to the emotion engine, which analyzes the emotional elements in the dialogue scenario and adjusts the scenario so that the user's emotions are clearly reflected.

[0565] Step 7:

[0566] The server compiles a dialogue scenario that reflects the analysis results of the emotion engine into final response data, which includes the content of the dialogue with the user.

[0567] Step 8:

[0568] The server sends the response data to the terminal, allowing the user to receive the next dialogue scenario.

[0569] Step 9:

[0570] The terminal displays the received dialogue scenario to the user. The dialogue content is displayed on the screen, and the user reads the scenario and makes the next selection.

[0571] Step 10:

[0572] The user uses the terminal interface to select the next action from the displayed options, which generates the next request data.

[0573] Step 11:

[0574] The terminal sends the generated request data to the server again. The server receives the new request data and performs the dialogue scenario generation process again.

[0575] Step 12:

[0576] The server then uses the emotion engine to recognize the user's emotions again and reflect them in a new dialogue scenario. By repeating this process, the user can continue to interact with historical figures and progress the story.

[0577] The above is the specific processing flow of the system that combines the emotion engine. At each step, the user, device, and server play their respective roles, and the system as a whole functions.

[0578] Example 2

[0579] 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."

[0580] Conventional interactive game systems have limited user experience because they do not consider the user's emotions and the quality of the dialogue is constant. Furthermore, even games themed around dialogue with historical figures cannot dynamically adjust the scenario based on the user's choices. This makes it difficult for users to have a diverse and immersive experience.

[0581] 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.

[0582] In this invention, the server includes an input means, a means for referencing a database to acquire related data, a means for generating a dialogue scenario using a generative AI model, and a means for recognizing a user's emotions using an emotion analysis engine and dynamically adjusting the dialogue scenario, thereby dynamically changing the dialogue scenario according to the user's emotions, enabling a more diverse and richer experience.

[0583] "Users" are people who use the system to enjoy dialogue with past eras and historical figures.

[0584] The "input means" is an interface that allows the user to select a past era and historical figure.

[0585] A "server" is a computer system that processes data based on user input, generates a dialogue scenario, and transmits it to a terminal.

[0586] A "database" is a data storage that stores historical data and is referenced by the server.

[0587] The "means for obtaining related data" is a function that allows the server to collect necessary information from a database based on the era and person specified by the user.

[0588] A "generative AI model" is a software model that includes algorithms and training data that generate natural and educationally valuable dialogue scenarios based on acquired data.

[0589] "Means for generating dialogue scenarios" refers to a function that creates dialogue content using a generative AI model.

[0590] An "emotion analysis engine" is a software component that recognizes emotions based on user input and selections and adjusts the dialogue scenario to match those emotions.

[0591] The "means for dynamically adjusting the dialogue scenario" is a function that changes the dialogue content according to the user's emotions based on the output of the emotion analysis engine.

[0592] A "terminal" is a device that allows a user to access the system, input options, and display dialogue scenarios.

[0593] "Request data" is data used to convey user selections and inputs to the server.

[0594] This invention is a game system in which users experience past eras and solve problems through dialogue with famous historical figures. The system is implemented through user input, server processing, database reference, use of generative AI models, a sentiment analysis engine, and the generation and display of dialogue scenarios. Specific implementation methods for the system are described below.

[0595] User Input

[0596] The user uses the terminal to select the era to which they would like to travel back in time and the historical figure they would like to meet. This input is made on the terminal's interface, and the terminal sends this input to the server as request data.

[0597] Server Processing

[0598] When the server receives a request from a user, it analyzes the content of the request (the specified era and person), then references the history database to retrieve relevant information, including historical background and related events.

[0599] Dialogue scenario generation and sentiment analysis

[0600] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. This generative AI model includes algorithms and data for generating natural dialogue that is educationally valuable. The server also recognizes the user's emotions using an emotion analysis engine. The emotion analysis engine analyzes the user's dialogue content and reactions to options to recognize the user's emotions.

[0601] Adjusting the dialogue scenario

[0602] The server dynamically adjusts the dialogue scenario based on the user's emotions. For example, if the user expresses surprise, the server will adapt the scenario to reflect that emotion, making the dialogue more natural and immersive.

[0603] Viewing dialogue scenarios

[0604] The server compiles the generated dialogue scenario as response data and sends it to the terminal. The terminal displays this dialogue scenario to the user. The user reads the displayed scenario, decides on the next action, and inputs their choices.

[0605] Specific examples

[0606] Specific examples are shown below.

[0607] Example 1: Dialogue with a warlord from the Sengoku period

[0608] The user inputs "I want to meet a warlord from the Sengoku period." The server references a database related to the Sengoku period and retrieves data related to the specified warlord. The generative AI model and sentiment analysis engine use this data to generate a dialogue scenario. The scenario includes a scene in which the warlords discuss strategy. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the sentiment analysis engine recognizes the user's reaction and reflects it in the next scenario.

[0609] Example 2: Dialogue with a Renaissance inventor

[0610] The user enters "I want to meet a Renaissance inventor." The server references a database related to the Renaissance and retrieves data related to the specified inventor. The generative AI model and sentiment analysis engine use this data to generate a dialogue scenario. The scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the sentiment analysis engine recognizes the user's reaction and reflects it in the next scenario.

[0611] This allows the invention to offer users educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0612] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0613] Step 1:

[0614] The user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. This input is made on the device's interface. For example, the user enters "I would like to meet a warlord from the Sengoku period." The options entered by the user are generated as request data as output.

[0615] Specific operation: The user types the specified era and person into the input fields of the interface and presses the "Submit" button.

[0616] Step 2:

[0617] The terminal sends request data to the server. As input, it receives request data including the user's choices. As output, it sends data to the server as an HTTP request.

[0618] What it does: The software on the device captures user input, creates an HTTP request, and sends it to the server.

[0619] Step 3:

[0620] The server analyzes the received request data and identifies the specified era and person. As input, it receives the request data sent from the terminal. As output, the analysis results are prepared as a database query.

[0621] Specific operation: The server parses the request data in JSON format and extracts the specified era and person.

[0622] Step 4:

[0623] The server refers to the historical database and retrieves information related to the specified period and person. As input, it receives the analysis results (period and person). As output, it returns the retrieved historical data.

[0624] Specific behavior: The server executes an SQL query to gather data related to the specified era and person.

[0625] Step 5:

[0626] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. As input, it receives the acquired historical data and supplies it to the generative AI model. As output, it obtains the generated dialogue scenario.

[0627] Specific operation: The server sends prompt sentences to the generative AI model (e.g., GPT-4) to generate a dialogue scenario.

[0628] Step 6:

[0629] The server uses a sentiment analysis engine to recognize the user's sentiment. As input, it receives data including the user's dialogue and choices. As output, it returns the user's sentiment score.

[0630] Specific operation: The server passes the user's text input to the sentiment analysis engine and obtains a sentiment score.

[0631] Step 7:

[0632] The server dynamically adjusts the dialogue scenario based on the recognized user emotion. As input, it receives the emotion score and the generated dialogue scenario. As output, it obtains the adjusted dialogue scenario.

[0633] Specific operation: The content of the dialogue scenario is changed according to the emotion score, and the next scenario is constructed.

[0634] Step 8:

[0635] The server sends the generated dialogue scenario to the terminal as response data. As input, it receives the adjusted dialogue scenario. As output, it sends response data in JSON format to the terminal.

[0636] Specific operation: The server constructs the generated scenario in JSON format and sends it to the terminal as an HTTP response.

[0637] Step 9:

[0638] The terminal displays the received dialogue scenario to the user. As input, it receives response data from the server. As output, the user can visually check the dialogue scenario.

[0639] Specific operation: The terminal's GUI displays the dialogue scenario in a text box or dialogue screen.

[0640] Step 10:

[0641] The user selects the next action based on the scenario. As input, a new option is generated based on the dialogue scenario. As output, a new option is generated and sent to the server again as request data.

[0642] Specific actions: The user selects a displayed option, enters the option, and presses the "Submit" button.

[0643] (Application example 2)

[0644] 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."

[0645] In conventional history education and entertainment content, it has been difficult to provide an interactive experience that changes dynamically according to the user's emotions and choices. Furthermore, the means for providing immersive content are limited, making it difficult to improve the quality of the user experience. In this situation, there has been a demand for the development of a game system that allows users to travel back in time and solve problems while interacting with famous historical figures.

[0646] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state using an emotion engine and dynamically adjusting a dialogue scenario, means for generating immersive visual content using a VR rendering engine in the terminal, and means for generating a natural dialogue scenario using a generative AI model. This enables an interactive experience that changes dynamically according to the user's emotions and selections, and can improve the quality of the user experience by providing immersive visual content.

[0647] The "input means" is a means by which the user selects a past era and a historical figure.

[0648] A "database" is a source of information that stores information about past periods and historical figures.

[0649] A "generative AI model" is an artificial intelligence model that generates dialogue scenarios based on acquired information.

[0650] The "emotion engine" is an engine that analyzes the user's emotional state and dynamically adjusts the dialogue scenario based on that.

[0651] A "VR rendering engine" is an engine that integrates interactive scenarios and visual content to generate immersive virtual reality experiences.

[0652] A "dialogue scenario" is a series of stories or conversation scenarios that are generated for the user to interact with a past era or historical figure selected by the user.

[0653] A "terminal" is a device that a user uses to display and operate an interaction scenario.

[0654] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. By combining it with an emotion engine that recognizes the user's emotions, the aim is to improve the quality of the dialogue and enrich the user experience. This system is realized by user input, server processing, database reference, use of generative AI models, the emotion engine, and the generation and display of dialogue scenarios.

[0655] First, the user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. The device is equipped with an input means for the user to enter their selection. The device receives this input and sends it to the server as request data.

[0656] When the server receives a request from a user, it analyzes the content of the request (for example, the specified era and person). The server then references the database to retrieve information related to the specified era and person, including historical background and related events.

[0657] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. The generative AI model has the algorithms and data necessary to create natural and educationally valuable dialogue. An example of a prompt sentence to input to the generative AI model is shown below:

[0658] Generate a dialogue where the user wants to meet a Renaissance inventor. Renaissance inventors made significant contributions to human progress. The user expresses joy.

[0659] The server combines an emotion engine, which analyzes the user's dialogue content and reactions to options to recognize the user's emotions. Based on the recognized user emotions, the dialogue scenario is dynamically adjusted. For example, if the user expresses joy during a dialogue, the next scenario can provide content tailored to that reaction. This makes the dialogue more natural and immersive.

[0660] The generated dialogue scenario is compiled as response data and sent to the user's device. The device displays the received dialogue scenario to the user. The user reads the dialogue scenario and makes their next choice. Using an interface displaying options, the user decides on and inputs their next action. The device then sends the user's choice back to the server as request data. This process is repeated, constantly generating a new scenario that reflects the user's emotions and choices.

[0661] Furthermore, the device uses a VR rendering engine to generate immersive visual content, which realistically recreates historical events and settings, allowing users to experience the experience as if they were actually there. The hardware used includes VR head-mounted displays (e.g., Oculus Rift, HTC Vive).

[0662] In this way, the system provides users with educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0663] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0664] Step 1:

[0665] A user uses a terminal to select a past era and a historical figure they would like to meet. Specifically, the user inputs their selections through the interface on the terminal, and this input is sent by the terminal to the server as request data. The input is information about the selected era and figure, and the output is the request data sent to the server.

[0666] Step 2:

[0667] The server receives request data from the user and retrieves data related to the specified period and person. Specifically, the server references a database to extract historical information corresponding to the request. The input is the request data, a query is made to the database, and the output is the retrieved historical information.

[0668] Step 3:

[0669] Based on the historical information acquired by the server, a prompt sentence is passed to the generative AI model to generate a dialogue scenario. Specifically, a prompt sentence is created based on the historical information, the user's request, and the analysis results of the emotion engine, and this is then input into the generative AI model. The input is the prompt sentence, and the output is the generated dialogue scenario.

[0670] Step 4:

[0671] The server compiles the generated dialogue scenario as response data and sends it to the user's device. Specifically, the generated dialogue scenario is formatted in JSON format or similar and sent to the device. The input is the generated dialogue scenario, and the output is the response data sent to the device.

[0672] Step 5:

[0673] The dialogue scenario received by the device is displayed to the user. Specifically, the dialogue scenario is visually displayed using the device's display or a VR head-mounted display. The input is the response data from the server, and the output is the dialogue scenario displayed to the user.

[0674] Step 6:

[0675] The terminal receives the user's selection and sends it back to the server. Specifically, the user inputs options through the interface and sends the selection data to the server as request data. The input is the user's selection, and the output is the request data to the server.

[0676] Step 7:

[0677] The server uses an emotion engine to analyze the user's emotional state and dynamically adjust the dialogue scenario. Specifically, it analyzes the user's choices and reactions during the dialogue and appropriately changes the content and difficulty of the scenario. The input is the user's choices and emotional data, and the output is the adjusted dialogue scenario.

[0678] Step 8:

[0679] The terminal uses a VR rendering engine to generate immersive visual content. Specifically, it generates a VR scene based on the adjusted interaction scenario and the acquired historical information and displays it to the user. The input is the adjusted interaction scenario and historical information, and the output is the VR-rendered visual content.

[0680] 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.

[0681] 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.

[0682] 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.

[0683] [Third embodiment]

[0684] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0685] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0686] 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).

[0687] 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.

[0688] 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.

[0689] 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).

[0690] 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.

[0691] 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.

[0692] 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.

[0693] 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.

[0694] 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.

[0695] 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."

[0696] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. This system is realized by user input, server processing, database reference, use of AI generation models, and generation and display of dialogue scenarios.

[0697] First, the user uses the device to select the era they want to travel to and the historical figure they want to meet. This involves the user inputting their choices on the interface. The device receives this input and sends it to the server as request data.

[0698] When the server receives a request from a user, it analyzes the content of the request (e.g., the specified era and person). Then, the server refers to a historical database to retrieve information related to the specified era and person. This information includes historical background and related events.

[0699] Based on the acquired data, the server generates a dialogue scenario using an AI-generated model. The AI-generated model has the algorithms and data necessary to create natural and educationally valuable dialogue. The server compiles the generated dialogue scenario as response data and sends it to the user's device.

[0700] The terminal displays the dialogue scenario received from the server to the user. The user reads the dialogue scenario and selects options as the dialogue progresses. Using the interface that displays the options, the user decides and inputs their next action.

[0701] The device then sends the user's selections to the server again as request data. The server then generates a new dialogue scenario based on the new request data and sends it back to the user. By repeating this process, the user can progress through the story while continuing to interact with historical figures.

[0702] Specific examples are shown below.

[0703] Example 1: Dialogue with a warlord from the Sengoku period

[0704] The user inputs that they would like to meet Oda Nobunaga during the Sengoku period. The server references a historical database related to the Sengoku period and retrieves data related to Oda Nobunaga. The AI ​​generation model uses this data to generate a dialogue scenario with Oda Nobunaga. The generated scenario includes a scene in which Nobunaga discusses strategies for expanding his territory. When the user selects an option based on the scenario, the server generates a new scenario based on that option and provides it to the user.

[0705] Example 2: Dialogue with a Renaissance inventor

[0706] The user inputs that they would like to meet a Renaissance inventor. The server references a historical database related to the Renaissance and retrieves data related to the specified inventor. The AI ​​generative model uses this data to generate a dialogue scenario with the inventor. The generated scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection and provides it to the user.

[0707] In this way, the system provides users with educational value beyond just a game, promoting a deeper understanding of historical figures and events. The story changes dynamically depending on the user's choices, allowing for a diverse experience.

[0708] The processing flow will be explained below.

[0709] Step 1:

[0710] The user selects the era and historical figure they want to travel to on their device, and the request data is generated by completing the input in a specific interface.

[0711] Step 2:

[0712] The terminal transmits the generated request data to the server. The request data includes information on the era and person specified by the user.

[0713] Step 3:

[0714] The server receives the request data from the device, analyzes it, and extracts information related to the appropriate era and person.

[0715] Step 4:

[0716] Based on the extracted information, the server references a historical database to obtain data related to the specified era or person. The historical database stores detailed information and background about the era or person.

[0717] Step 5:

[0718] The server inputs the acquired historical data into the AI ​​generation model, which then generates a dialogue scenario based on this data.

[0719] Step 6:

[0720] The server compiles the generated dialogue scenario into response data, which includes the text of the dialogue scenario.

[0721] Step 7:

[0722] The server sends the response data to the terminal, allowing the user to receive the next dialogue scenario.

[0723] Step 8:

[0724] The terminal displays the received dialogue scenario to the user. The dialogue content is displayed on the screen, and the user reads the scenario and makes the next selection.

[0725] Step 9:

[0726] The user uses the terminal interface to select the next action from the displayed options, which generates the next request data.

[0727] Step 10:

[0728] The terminal sends the generated request data to the server again. The server receives the new request data and performs the dialogue scenario generation process again.

[0729] Step 11:

[0730] By repeating this process, the user can continue to interact with historical figures and progress through the story, resulting in a unique experience in which the content of the dialogue and historical developments change depending on the user's choices.

[0731] The above is the specific processing flow of this system. At each step, the user, terminal, and server play their respective roles, and the entire system functions.

[0732] Example 1

[0733] 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."

[0734] Conventional systems that provide users with educational experiences through dialogue with historical figures have been limited in terms of the naturalness of the dialogue, educational value, and interactivity. Furthermore, systems that promote a deeper understanding of the era or person selected by the user have been inadequate. Therefore, the present invention aims to provide a more advanced, educational, interactive system that allows users to travel back in time and solve problems while interacting with famous historical figures.

[0735] 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.

[0736] In this invention, the server includes an input device for the user to select a past era and historical figure, a device for the server to refer to an information database and acquire related data based on the user's input, a device for generating a dialogue scenario using a generative AI model, means for the server to transmit the generated dialogue scenario to the user's terminal, a device for the terminal to display the dialogue scenario received by the terminal to the user, a device for the terminal to generate next request data based on the user's selection and transmit it to the server, and a device for the server to generate another dialogue scenario based on the user's new selection. This enables a highly educational interactive experience by allowing the user to travel back in time and interact with the historical figure selected.

[0737] A "user" is someone who uses the system to have an educational experience through interaction with past eras and people.

[0738] An "input device" is a means by which a user inputs information for selecting a past era and historical figure into the system.

[0739] A "server" is a computer system that performs processing based on user input, acquires related data, generates a dialogue scenario, and transmits it to the user's terminal.

[0740] An "information database" is a data storage system that stores information about past eras or historical figures.

[0741] A "generative AI model" is an artificial intelligence algorithm that generates dialogue scenarios based on acquired data.

[0742] A "dialogue scenario" is a scenario text for conducting a dialogue with a past era or person specified by the user.

[0743] A "terminal" is a computing device used by a user, which displays the dialogue scenario sent from the server and retransmits input from the user.

[0744] "Request data" is data that records the user's selections and actions, is sent to the server, and is used to generate the next dialogue scenario.

[0745] A "prompt sentence" is an input sentence that causes a generative AI model to generate a dialogue scenario, and is text that contains specific instructions and information that the server passes to the generative AI model.

[0746] This invention is a game system that allows users to travel back in time and solve problems while interacting with famous historical figures. This system is realized by user input, server processing, information database reference, use of generative AI models, and generation and display of dialogue scenarios.

[0747] First, the user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. This selection is made through the device's interface. For example, the user might enter "I would like to meet a famous leader from the Warring States period." The device then sends this input to the server as request data.

[0748] When the server receives a request from a user, it analyzes the content (the specified era and person). The server then references an information database to retrieve information related to the specified era and person. This information includes historical background and related events. The database used may be "Information Database X."

[0749] Based on the acquired data, the server generates a dialogue scenario using a generative AI model (e.g., GPT-4). The AI ​​generative model has the algorithms and data necessary to create natural and educationally valuable dialogue. For example, the following sentences are used as prompts:

[0750] "The user wishes to meet a famous leader from the Warring States period. Please generate a dialogue scenario with this leader, including a discussion about territorial expansion strategies."

[0751] The server compiles the generated dialogue scenario as response data and sends it to the user's device. The device then displays the dialogue scenario received from the server to the user. For example, if the scenario includes a scene in which famous leaders discuss strategies for expanding territory, that content will be displayed on the screen. The user reads this and continues the dialogue.

[0752] As the dialogue progresses, the user selects the next action from multiple options. Using the interface that displays these options, the user decides on and inputs the next action. The terminal then sends the user's selection back to the server as request data.

[0753] The server generates a new dialogue scenario based on the new request data and returns it to the user. By repeating this process, the user can progress through the story while continuing to dialogue with historical figures.

[0754] This allows users to enjoy educational value beyond just playing a game, fostering a deeper understanding of historical events. In addition, the story changes dynamically depending on the user's choices, allowing for a diverse experience.

[0755] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0756] Step 1:

[0757] User: The user uses the device interface to select the past era and historical figure they would like to meet, for example, by typing "I would like to meet a famous leader from the Warring States period."

[0758] Input: User-selected era and person information.

[0759] Output: Sent to the terminal as request data.

[0760] Specific actions: Use the drop-down menus or search boxes on the device interface to select a period or person, then click the send button.

[0761] Step 2:

[0762] Terminal: Sends user input as request data to the server.

[0763] Input: User-selected era and person information.

[0764] Output: The request data sent to the server.

[0765] Specific operation: The terminal generates request data and sends it to the server using a communication protocol (e.g., HTTPS).

[0766] Step 3:

[0767] Server: Receives the request data and analyzes its contents. Extracts information related to the specified era and historical figure.

[0768] Input: Request data.

[0769] Output: Analysis results (information on era and person).

[0770] Specific operation: The database access module reads the contents of the request data, and the query generation function creates a corresponding database query.

[0771] Step 4:

[0772] Server: Refers to the information database and retrieves data related to the specified era or person.

[0773] Input: Analysis results (information on the era and people).

[0774] Output: The retrieved data.

[0775] Specific operation: The database access function executes the generated query and retrieves the corresponding information from "Information Database X."

[0776] Step 5:

[0777] Server: Based on the acquired data, prompt sentences are input into a generative AI model (e.g., GPT-4) to generate a dialogue scenario.

[0778] Input: The retrieved data.

[0779] Output: The generated dialogue scenario.

[0780] Specific operation: A prompt sentence is created for the generative AI model, and related information is provided to the model to request scenario generation.

[0781] Example prompt sentence:

[0782] "The user wishes to meet a famous leader from the Warring States period. Please generate a dialogue scenario with this leader, including a discussion about territorial expansion strategies."

[0783] Step 6:

[0784] Server: Sends the generated dialogue scenario to the terminal as response data.

[0785] Input: The generated dialogue scenario.

[0786] Output: Sent to the terminal as response data.

[0787] Specific operation: The server packages the generated scenario as response data and sends it to the terminal using a communication protocol.

[0788] Step 7:

[0789] Terminal: Displays the received dialogue scenario to the user.

[0790] Input: Response data.

[0791] Output: The dialogue scenario to be displayed.

[0792] Specific operation: The terminal receives the response data and visually presents it to the user using a rendering engine to display it on the screen.

[0793] Step 8:

[0794] User: Read the dialogue scenario and choose the next action from multiple options.

[0795] Input: The displayed dialogue scenario.

[0796] Output: User's choice of next action.

[0797] Specific operation: Click on an option displayed in the user interface to generate the following request data.

[0798] Step 9:

[0799] Terminal: The user's selection is sent to the server again as request data.

[0800] Input: The user's selection.

[0801] Output: The request data to be resent to the server.

[0802] Specific operation: The terminal creates request data based on the user's selection and resends it to the server using the communication protocol.

[0803] Step 10:

[0804] Server: Based on the new request data, a new dialogue scenario is generated using the regenerative AI model.

[0805] Input: New request data.

[0806] Output: The regenerated dialogue scenario.

[0807] Specific operation: A new prompt sentence is input into the generative AI model, and the process of generating a new scenario is repeated.

[0808] Step 11:

[0809] Server: Sends the newly generated scenario to the terminal and displays it to the user, who can continue the dialogue.

[0810] Input: The regenerated dialogue scenario.

[0811] Output: The new scenario retransmitted to the user terminal.

[0812] Specific operation: The server packages the newly generated scenario as response data and sends it to the terminal using a communication protocol. The terminal receives it and displays it to the user.

[0813] (Application example 1)

[0814] 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."

[0815] In modern education and entertainment, there is a lack of ways for users to interact with historical events and figures of the past to gain deeper understanding and learning. Furthermore, the lack of interactive experiences in virtual environments makes it difficult for users to experience historical content in a more realistic way. To address this issue, a system that provides educational content while interacting with past eras and historical figures is needed.

[0816] 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.

[0817] In this invention, the server includes input means for the user to select a past era and historical figure, means for the server to refer to a historical information database and acquire related information based on the user's input, means for the server to generate a dialogue scenario using the acquired information and a generation AI model, means for the server to transmit the generated dialogue scenario to a user terminal, means for the terminal to display the received dialogue scenario to the user, means for providing an interface linked to the virtual environment via a head-mounted display, and means for the terminal to generate next request data based on the user's selection and transmit it to the server. This allows the user to enjoy a realistic experience of high educational value while interacting with historical eras and figures in a virtual environment.

[0818] "User" refers to any individual or entity who utilizes the system to enjoy interacting with past eras and historical figures.

[0819] "Input means" refers to an interface or device that allows a user to select a past era or historical figure, such as a menu displayed on the screen of a smartphone or head-mounted display.

[0820] The "server" is a computer system that receives requests from users, references a historical information database to obtain relevant information, generates a dialogue scenario using a generative AI model, and sends it as a response to the user's terminal.

[0821] A "historical information database" is a database system for storing and managing information about various historical backgrounds and historical figures.

[0822] "Generative AI models" are algorithms and machine learning models used to create natural and educationally valuable dialogue scenarios based on acquired historical information.

[0823] A "dialogue scenario" is a sequence of text and audio that represents a dialogue between a user and a historical figure, generated based on acquired information and a generative AI model.

[0824] "User terminal" refers to a device used by a user to access the system, including a smartphone, smart glasses, a head-mounted display, etc.

[0825] A "head-mounted display" is a device worn by a user that allows them to visually and interactively experience a virtual environment.

[0826] "Request Data" is a data set sent to the server containing information entered by the user to determine the next action.

[0827] This invention provides a game system in which users travel back in time to solve problems while interacting with historical figures. The system is primarily composed of a user terminal, a server, a historical information database, and a generative AI model.

[0828] First, the user uses a user interface to select the past era and historical figure they want to meet. Specifically, they use a selection menu displayed on a smartphone or head-mounted display (HMD). When the user inputs their selection information, the device sends this input as request data to the server.

[0829] The server, which is run using Flask (a framework), receives and analyzes requests from users. The server then accesses a historical information database (e.g., MySQL) to retrieve information related to the era and person specified by the user. This information includes the historical background and related events.

[0830] Next, the server uses a generative AI model (e.g., a model using TensorFlow) to generate a dialogue scenario based on the acquired historical information. The generative AI model has the algorithms and data necessary to create natural and educationally valuable dialogue. The server compiles the generated dialogue scenario as response data and sends it back to the user device.

[0831] The device displays the received dialogue scenario to the user, who then inputs options to select the next action based on the dialogue scenario. When using a head-mounted display, the user enters a virtual environment and can freely interact with historical figures within it.

[0832] For example, if a user selects "French Revolutionary Era" and "Famous Politicians" as a historical figure, the user interface might prompt them with the following:

[0833] plain

[0834] You travel back in time to Paris during the French Revolution. You meet a famous politician. Ask him about the significance of the French Revolution.

[0835] Based on the above prompts, the generative AI model generates educational and interactive dialogue scenarios and provides them to users, allowing them to interact with past eras and historical figures in a virtual environment, providing a realistic and educationally valuable experience.

[0836] As described above, this system combines hardware and software to provide a means of promoting a deeper understanding of historical figures and events.

[0837] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0838] Step 1:

[0839] The user uses the terminal to select the past era and historical figure they would like to meet. At this time, they input their choices regarding the era and figure using the user interface. The input selection information is sent to the server as request data.

[0840] Input: User-selected period and historical figure

[0841] Output: Request data (selection information)

[0842] Specific operation: The user clicks an option from the menu on the head-mounted display or smartphone screen, and the device sends this information to the server as request data.

[0843] Step 2:

[0844] The server receives and analyzes the request data. Based on the analyzed data, the server references a historical information database to retrieve information related to the specified era or person.

[0845] Input: Request data

[0846] Output: Related historical information (historical background and people's data)

[0847] What happens: The Flask server receives the request, parses it, and queries the MySQL database to get the required information.

[0848] Step 3:

[0849] The server generates a dialogue scenario using the acquired historical information and a generative AI model. The generative AI model generates a dialogue scenario in natural language based on prompt sentences about Paris during the French Revolution and politicians of that era.

[0850] Input: History information, prompt text

[0851] Output: Dialogue scenario

[0852] Specific operation: The server uses TensorFlow to call the generative AI model and generates a dialogue scenario using the prompt, "You have traveled back in time to Paris during the French Revolution. You meet a famous politician. Ask him about the significance of the French Revolution."

[0853] Step 4:

[0854] The server compiles the generated dialogue scenario as response data and transmits it to the user terminal.

[0855] Input: Dialogue scenario

[0856] Output: Response data

[0857] Specific operation: The server converts the generated dialogue scenario into response data and sends it to the user's device.

[0858] Step 5:

[0859] The terminal displays the received dialogue scenario to the user, who reads the displayed dialogue scenario and inputs options to select the next action through the interface.

[0860] Input: Response data (dialogue scenario)

[0861] Output: User's choice

[0862] Specific operation: A dialogue scenario is displayed on the head-mounted display or smartphone screen, and the user selects the following options:

[0863] Step 6:

[0864] After the user inputs a choice for selecting the next action, the terminal transmits the selection to the server again as request data.

[0865] Input: User's choice

[0866] Output: Request data

[0867] Specific operation: The user inputs the next option through the interface, and the terminal again sends the information to the server as request data.

[0868] 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.

[0869] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the aim is to improve the quality of the dialogue and enrich the user experience. This system is realized by user input, server processing, database reference, use of AI generation models, the emotion engine, and the generation and display of dialogue scenarios.

[0870] First, the user uses the device to select the era they want to travel to and the historical figure they want to meet. This involves the user inputting their choices on the interface. The device receives this input and sends it to the server as request data.

[0871] When the server receives a request from a user, it analyzes the content of the request (e.g., the specified era and person). Then, the server refers to a historical database to retrieve information related to the specified era and person. This information includes historical background and related events.

[0872] Based on the acquired data, the server generates a dialogue scenario using an AI generation model. The AI ​​generation model has the algorithms and data necessary to create natural dialogue that is educationally valuable. The server then combines an emotion engine, which analyzes the user's dialogue content and reactions to options and recognizes the user's emotions.

[0873] The server dynamically adjusts the dialogue scenario based on the user's emotions. For example, if the user expresses surprise during a dialogue, the server can provide content tailored to that reaction in the next scenario. This makes the dialogue feel more natural and immersive.

[0874] The generated dialogue scenario is compiled as response data and sent to the user's terminal. The terminal displays the received dialogue scenario to the user. The user reads the dialogue scenario and makes their next choice. Using an interface that displays options, the user decides on and inputs their next action.

[0875] The device then sends the user's selection to the server again as request data. The server then generates a new dialogue scenario based on the new request data. At this time, the emotion engine again recognizes the user's emotions and reflects them in the scenario.

[0876] Specific examples are shown below.

[0877] Example 1: Dialogue with a warlord from the Sengoku period

[0878] The user inputs that they would like to meet a famous warlord from the Warring States period. The server references a historical database related to the Warring States period and retrieves data related to the specified warlord. The AI ​​generation model and emotion engine use this data to generate a dialogue scenario. The generated scenario includes a scene in which the warlords discuss strategy. When the user selects an option based on the scenario, the server generates a new scenario based on that option. At this time, the emotion engine recognizes the user's reaction and reflects it in the next scenario.

[0879] Example 2: Dialogue with a Renaissance inventor

[0880] The user inputs that they would like to meet a famous inventor from the Renaissance. The server references a historical database related to the Renaissance and retrieves data related to the specified inventor. The AI ​​generation model and emotion engine use this data to generate a dialogue scenario. The generated scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the emotion engine recognizes the user's reaction and reflects it in the next scenario.

[0881] In this way, the system provides users with educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0882] The processing flow will be explained below.

[0883] Step 1:

[0884] The user selects the era and historical figure they wish to travel to on their device, enters their choices using a specific interface, and presses the submit button.

[0885] Step 2:

[0886] The terminal transmits the generated request data to the server. The request data includes information on the era and person specified by the user.

[0887] Step 3:

[0888] The server receives the request data from the device, analyzes it, and extracts information related to the appropriate era and person.

[0889] Step 4:

[0890] Based on the information extracted by the server, the server references a historical database that contains detailed information and background on the specified era or person to obtain data related to the specified era or person.

[0891] Step 5:

[0892] The server inputs the acquired historical data into an AI generation model, which then generates a dialogue scenario based on this data. The generation process uses a pre-trained algorithm.

[0893] Step 6:

[0894] The server passes the generated dialogue scenario to the emotion engine, which analyzes the emotional elements in the dialogue scenario and adjusts the scenario so that the user's emotions are clearly reflected.

[0895] Step 7:

[0896] The server compiles a dialogue scenario that reflects the analysis results of the emotion engine into final response data, which includes the content of the dialogue with the user.

[0897] Step 8:

[0898] The server sends the response data to the terminal, allowing the user to receive the next dialogue scenario.

[0899] Step 9:

[0900] The terminal displays the received dialogue scenario to the user. The dialogue content is displayed on the screen, and the user reads the scenario and makes the next selection.

[0901] Step 10:

[0902] The user uses the terminal interface to select the next action from the displayed options, which generates the next request data.

[0903] Step 11:

[0904] The terminal sends the generated request data to the server again. The server receives the new request data and performs the dialogue scenario generation process again.

[0905] Step 12:

[0906] The server then uses the emotion engine to recognize the user's emotions again and reflect them in a new dialogue scenario. By repeating this process, the user can continue to interact with historical figures and progress the story.

[0907] The above is the specific processing flow of the system that combines the emotion engine. At each step, the user, device, and server play their respective roles, and the system as a whole functions.

[0908] Example 2

[0909] 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."

[0910] Conventional interactive game systems have limited user experience because they do not consider the user's emotions and the quality of the dialogue is constant. Furthermore, even games themed around dialogue with historical figures cannot dynamically adjust the scenario based on the user's choices. This makes it difficult for users to have a diverse and immersive experience.

[0911] 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.

[0912] In this invention, the server includes an input means, a means for referencing a database to acquire related data, a means for generating a dialogue scenario using a generative AI model, and a means for recognizing a user's emotions using an emotion analysis engine and dynamically adjusting the dialogue scenario, thereby dynamically changing the dialogue scenario according to the user's emotions, enabling a more diverse and richer experience.

[0913] "Users" are people who use the system to enjoy dialogue with past eras and historical figures.

[0914] The "input means" is an interface that allows the user to select a past era and historical figure.

[0915] A "server" is a computer system that processes data based on user input, generates a dialogue scenario, and transmits it to a terminal.

[0916] A "database" is a data storage that stores historical data and is referenced by the server.

[0917] The "means for obtaining related data" is a function that allows the server to collect necessary information from a database based on the era and person specified by the user.

[0918] A "generative AI model" is a software model that includes algorithms and training data that generate natural and educationally valuable dialogue scenarios based on acquired data.

[0919] "Means for generating dialogue scenarios" refers to a function that creates dialogue content using a generative AI model.

[0920] An "emotion analysis engine" is a software component that recognizes emotions based on user input and selections and adjusts the dialogue scenario to match those emotions.

[0921] The "means for dynamically adjusting the dialogue scenario" is a function that changes the dialogue content according to the user's emotions based on the output of the emotion analysis engine.

[0922] A "terminal" is a device that allows a user to access the system, input options, and display dialogue scenarios.

[0923] "Request data" is data used to convey user selections and inputs to the server.

[0924] This invention is a game system in which users experience past eras and solve problems through dialogue with famous historical figures. The system is implemented through user input, server processing, database reference, use of generative AI models, a sentiment analysis engine, and the generation and display of dialogue scenarios. Specific implementation methods for the system are described below.

[0925] User Input

[0926] The user uses the terminal to select the era to which they would like to travel back in time and the historical figure they would like to meet. This input is made on the terminal's interface, and the terminal sends this input to the server as request data.

[0927] Server Processing

[0928] When the server receives a request from a user, it analyzes the content of the request (the specified era and person), then references the history database to retrieve relevant information, including historical background and related events.

[0929] Dialogue scenario generation and sentiment analysis

[0930] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. This generative AI model includes algorithms and data for generating natural dialogue that is educationally valuable. The server also recognizes the user's emotions using an emotion analysis engine. The emotion analysis engine analyzes the user's dialogue content and reactions to options to recognize the user's emotions.

[0931] Adjusting the dialogue scenario

[0932] The server dynamically adjusts the dialogue scenario based on the user's emotions. For example, if the user expresses surprise, the server will adapt the scenario to reflect that emotion, making the dialogue more natural and immersive.

[0933] Viewing dialogue scenarios

[0934] The server compiles the generated dialogue scenario as response data and sends it to the terminal. The terminal displays this dialogue scenario to the user. The user reads the displayed scenario, decides on the next action, and inputs their choices.

[0935] Specific examples

[0936] Specific examples are shown below.

[0937] Example 1: Dialogue with a warlord from the Sengoku period

[0938] The user inputs "I want to meet a warlord from the Sengoku period." The server references a database related to the Sengoku period and retrieves data related to the specified warlord. The generative AI model and sentiment analysis engine use this data to generate a dialogue scenario. The scenario includes a scene in which the warlords discuss strategy. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the sentiment analysis engine recognizes the user's reaction and reflects it in the next scenario.

[0939] Example 2: Dialogue with a Renaissance inventor

[0940] The user enters "I want to meet a Renaissance inventor." The server references a database related to the Renaissance and retrieves data related to the specified inventor. The generative AI model and sentiment analysis engine use this data to generate a dialogue scenario. The scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the sentiment analysis engine recognizes the user's reaction and reflects it in the next scenario.

[0941] This allows the invention to offer users educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0942] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0943] Step 1:

[0944] The user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. This input is made on the device's interface. For example, the user enters "I would like to meet a warlord from the Sengoku period." The options entered by the user are generated as request data as output.

[0945] Specific operation: The user types the specified era and person into the input fields of the interface and presses the "Submit" button.

[0946] Step 2:

[0947] The terminal sends request data to the server. As input, it receives request data including the user's choices. As output, it sends data to the server as an HTTP request.

[0948] What it does: The software on the device captures user input, creates an HTTP request, and sends it to the server.

[0949] Step 3:

[0950] The server analyzes the received request data and identifies the specified era and person. As input, it receives the request data sent from the terminal. As output, the analysis results are prepared as a database query.

[0951] Specific operation: The server parses the request data in JSON format and extracts the specified era and person.

[0952] Step 4:

[0953] The server refers to the historical database and retrieves information related to the specified period and person. As input, it receives the analysis results (period and person). As output, it returns the retrieved historical data.

[0954] Specific behavior: The server executes an SQL query to gather data related to the specified era and person.

[0955] Step 5:

[0956] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. As input, it receives the acquired historical data and supplies it to the generative AI model. As output, it obtains the generated dialogue scenario.

[0957] Specific operation: The server sends prompt sentences to the generative AI model (e.g., GPT-4) to generate a dialogue scenario.

[0958] Step 6:

[0959] The server uses a sentiment analysis engine to recognize the user's sentiment. As input, it receives data including the user's dialogue and choices. As output, it returns the user's sentiment score.

[0960] Specific operation: The server passes the user's text input to the sentiment analysis engine and obtains a sentiment score.

[0961] Step 7:

[0962] The server dynamically adjusts the dialogue scenario based on the recognized user emotion. As input, it receives the emotion score and the generated dialogue scenario. As output, it obtains the adjusted dialogue scenario.

[0963] Specific operation: The content of the dialogue scenario is changed according to the emotion score, and the next scenario is constructed.

[0964] Step 8:

[0965] The server sends the generated dialogue scenario to the terminal as response data. As input, it receives the adjusted dialogue scenario. As output, it sends response data in JSON format to the terminal.

[0966] Specific operation: The server constructs the generated scenario in JSON format and sends it to the terminal as an HTTP response.

[0967] Step 9:

[0968] The terminal displays the received dialogue scenario to the user. As input, it receives response data from the server. As output, the user can visually check the dialogue scenario.

[0969] Specific operation: The terminal's GUI displays the dialogue scenario in a text box or dialogue screen.

[0970] Step 10:

[0971] The user selects the next action based on the scenario. As input, a new option is generated based on the dialogue scenario. As output, a new option is generated and sent to the server again as request data.

[0972] Specific actions: The user selects a displayed option, enters the option, and presses the "Submit" button.

[0973] (Application example 2)

[0974] 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."

[0975] In conventional history education and entertainment content, it has been difficult to provide an interactive experience that changes dynamically according to the user's emotions and choices. Furthermore, the means for providing immersive content are limited, making it difficult to improve the quality of the user experience. In this situation, there has been a demand for the development of a game system that allows users to travel back in time and solve problems while interacting with famous historical figures.

[0976] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state using an emotion engine and dynamically adjusting a dialogue scenario, means for generating immersive visual content using a VR rendering engine in the terminal, and means for generating a natural dialogue scenario using a generative AI model. This enables an interactive experience that changes dynamically according to the user's emotions and selections, and can improve the quality of the user experience by providing immersive visual content.

[0977] The "input means" is a means by which the user selects a past era and a historical figure.

[0978] A "database" is a source of information that stores information about past periods and historical figures.

[0979] A "generative AI model" is an artificial intelligence model that generates dialogue scenarios based on acquired information.

[0980] The "emotion engine" is an engine that analyzes the user's emotional state and dynamically adjusts the dialogue scenario based on that.

[0981] A "VR rendering engine" is an engine that integrates interactive scenarios and visual content to generate immersive virtual reality experiences.

[0982] A "dialogue scenario" is a series of stories or conversation scenarios that are generated for the user to interact with a past era or historical figure selected by the user.

[0983] A "terminal" is a device that a user uses to display and operate an interaction scenario.

[0984] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. By combining it with an emotion engine that recognizes the user's emotions, the aim is to improve the quality of the dialogue and enrich the user experience. This system is realized by user input, server processing, database reference, use of generative AI models, the emotion engine, and the generation and display of dialogue scenarios.

[0985] First, the user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. The device is equipped with an input means for the user to enter their selection. The device receives this input and sends it to the server as request data.

[0986] When the server receives a request from a user, it analyzes the content of the request (for example, the specified era and person). The server then references the database to retrieve information related to the specified era and person, including historical background and related events.

[0987] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. The generative AI model has the algorithms and data necessary to create natural and educationally valuable dialogue. An example of a prompt sentence to input to the generative AI model is shown below:

[0988] Generate a dialogue where the user wants to meet a Renaissance inventor. Renaissance inventors made significant contributions to human progress. The user expresses joy.

[0989] The server combines an emotion engine, which analyzes the user's dialogue content and reactions to options to recognize the user's emotions. Based on the recognized user emotions, the dialogue scenario is dynamically adjusted. For example, if the user expresses joy during a dialogue, the next scenario can provide content tailored to that reaction. This makes the dialogue more natural and immersive.

[0990] The generated dialogue scenario is compiled as response data and sent to the user's device. The device displays the received dialogue scenario to the user. The user reads the dialogue scenario and makes their next choice. Using an interface displaying options, the user decides on and inputs their next action. The device then sends the user's choice back to the server as request data. This process is repeated, constantly generating a new scenario that reflects the user's emotions and choices.

[0991] Furthermore, the device uses a VR rendering engine to generate immersive visual content, which realistically recreates historical events and settings, allowing users to experience the experience as if they were actually there. The hardware used includes VR head-mounted displays (e.g., Oculus Rift, HTC Vive).

[0992] In this way, the system provides users with educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[0993] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0994] Step 1:

[0995] A user uses a terminal to select a past era and a historical figure they would like to meet. Specifically, the user inputs their selections through the interface on the terminal, and this input is sent by the terminal to the server as request data. The input is information about the selected era and figure, and the output is the request data sent to the server.

[0996] Step 2:

[0997] The server receives request data from the user and retrieves data related to the specified period and person. Specifically, the server references a database to extract historical information corresponding to the request. The input is the request data, a query is made to the database, and the output is the retrieved historical information.

[0998] Step 3:

[0999] Based on the historical information acquired by the server, a prompt sentence is passed to the generative AI model to generate a dialogue scenario. Specifically, a prompt sentence is created based on the historical information, the user's request, and the analysis results of the emotion engine, and this is then input into the generative AI model. The input is the prompt sentence, and the output is the generated dialogue scenario.

[1000] Step 4:

[1001] The server compiles the generated dialogue scenario as response data and sends it to the user's device. Specifically, the generated dialogue scenario is formatted in JSON format or similar and sent to the device. The input is the generated dialogue scenario, and the output is the response data sent to the device.

[1002] Step 5:

[1003] The dialogue scenario received by the device is displayed to the user. Specifically, the dialogue scenario is visually displayed using the device's display or a VR head-mounted display. The input is the response data from the server, and the output is the dialogue scenario displayed to the user.

[1004] Step 6:

[1005] The terminal receives the user's selection and sends it back to the server. Specifically, the user inputs options through the interface and sends the selection data to the server as request data. The input is the user's selection, and the output is the request data to the server.

[1006] Step 7:

[1007] The server uses an emotion engine to analyze the user's emotional state and dynamically adjust the dialogue scenario. Specifically, it analyzes the user's choices and reactions during the dialogue and appropriately changes the content and difficulty of the scenario. The input is the user's choices and emotional data, and the output is the adjusted dialogue scenario.

[1008] Step 8:

[1009] The terminal uses a VR rendering engine to generate immersive visual content. Specifically, it generates a VR scene based on the adjusted interaction scenario and the acquired historical information and displays it to the user. The input is the adjusted interaction scenario and historical information, and the output is the VR-rendered visual content.

[1010] 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.

[1011] 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.

[1012] 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.

[1013] [Fourth embodiment]

[1014] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1015] 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.

[1016] 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).

[1017] 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.

[1018] 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.

[1019] 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).

[1020] 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.

[1021] 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.

[1022] 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.

[1023] 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.

[1024] 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.

[1025] 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.

[1026] 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."

[1027] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. This system is realized by user input, server processing, database reference, use of AI generation models, and generation and display of dialogue scenarios.

[1028] First, the user uses the device to select the era they want to travel to and the historical figure they want to meet. This involves the user inputting their choices on the interface. The device receives this input and sends it to the server as request data.

[1029] When the server receives a request from a user, it analyzes the content of the request (e.g., the specified era and person). Then, the server refers to a historical database to retrieve information related to the specified era and person. This information includes historical background and related events.

[1030] Based on the acquired data, the server generates a dialogue scenario using an AI-generated model. The AI-generated model has the algorithms and data necessary to create natural and educationally valuable dialogue. The server compiles the generated dialogue scenario as response data and sends it to the user's device.

[1031] The terminal displays the dialogue scenario received from the server to the user. The user reads the dialogue scenario and selects options as the dialogue progresses. Using the interface that displays the options, the user decides and inputs their next action.

[1032] The device then sends the user's selections to the server again as request data. The server then generates a new dialogue scenario based on the new request data and sends it back to the user. By repeating this process, the user can progress through the story while continuing to interact with historical figures.

[1033] Specific examples are shown below.

[1034] Example 1: Dialogue with a warlord from the Sengoku period

[1035] The user inputs that they would like to meet Oda Nobunaga during the Sengoku period. The server references a historical database related to the Sengoku period and retrieves data related to Oda Nobunaga. The AI ​​generation model uses this data to generate a dialogue scenario with Oda Nobunaga. The generated scenario includes a scene in which Nobunaga discusses strategies for expanding his territory. When the user selects an option based on the scenario, the server generates a new scenario based on that option and provides it to the user.

[1036] Example 2: Dialogue with a Renaissance inventor

[1037] The user inputs that they would like to meet a Renaissance inventor. The server references a historical database related to the Renaissance and retrieves data related to the specified inventor. The AI ​​generative model uses this data to generate a dialogue scenario with the inventor. The generated scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection and provides it to the user.

[1038] In this way, the system provides users with educational value beyond just a game, promoting a deeper understanding of historical figures and events. The story changes dynamically depending on the user's choices, allowing for a diverse experience.

[1039] The processing flow will be explained below.

[1040] Step 1:

[1041] The user selects the era and historical figure they want to travel to on their device, and the request data is generated by completing the input in a specific interface.

[1042] Step 2:

[1043] The terminal transmits the generated request data to the server. The request data includes information on the era and person specified by the user.

[1044] Step 3:

[1045] The server receives the request data from the device, analyzes it, and extracts information related to the appropriate era and person.

[1046] Step 4:

[1047] Based on the extracted information, the server references a historical database to obtain data related to the specified era or person. The historical database stores detailed information and background about the era or person.

[1048] Step 5:

[1049] The server inputs the acquired historical data into the AI ​​generation model, which then generates a dialogue scenario based on this data.

[1050] Step 6:

[1051] The server compiles the generated dialogue scenario into response data, which includes the text of the dialogue scenario.

[1052] Step 7:

[1053] The server sends the response data to the terminal, allowing the user to receive the next dialogue scenario.

[1054] Step 8:

[1055] The terminal displays the received dialogue scenario to the user. The dialogue content is displayed on the screen, and the user reads the scenario and makes the next selection.

[1056] Step 9:

[1057] The user uses the terminal interface to select the next action from the displayed options, which generates the next request data.

[1058] Step 10:

[1059] The terminal sends the generated request data to the server again. The server receives the new request data and performs the dialogue scenario generation process again.

[1060] Step 11:

[1061] By repeating this process, the user can continue to interact with historical figures and progress through the story, resulting in a unique experience in which the content of the dialogue and historical developments change depending on the user's choices.

[1062] The above is the specific processing flow of this system. At each step, the user, terminal, and server play their respective roles, and the entire system functions.

[1063] Example 1

[1064] 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."

[1065] Conventional systems that provide users with educational experiences through dialogue with historical figures have been limited in terms of the naturalness of the dialogue, educational value, and interactivity. Furthermore, systems that promote a deeper understanding of the era or person selected by the user have been inadequate. Therefore, the present invention aims to provide a more advanced, educational, interactive system that allows users to travel back in time and solve problems while interacting with famous historical figures.

[1066] 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.

[1067] In this invention, the server includes an input device for the user to select a past era and historical figure, a device for the server to refer to an information database and acquire related data based on the user's input, a device for generating a dialogue scenario using a generative AI model, means for the server to transmit the generated dialogue scenario to the user's terminal, a device for the terminal to display the dialogue scenario received by the terminal to the user, a device for the terminal to generate next request data based on the user's selection and transmit it to the server, and a device for the server to generate another dialogue scenario based on the user's new selection. This enables a highly educational interactive experience by allowing the user to travel back in time and interact with the historical figure selected.

[1068] A "user" is someone who uses the system to have an educational experience through interaction with past eras and people.

[1069] An "input device" is a means by which a user inputs information for selecting a past era and historical figure into the system.

[1070] A "server" is a computer system that performs processing based on user input, acquires related data, generates a dialogue scenario, and transmits it to the user's terminal.

[1071] An "information database" is a data storage system that stores information about past eras or historical figures.

[1072] A "generative AI model" is an artificial intelligence algorithm that generates dialogue scenarios based on acquired data.

[1073] A "dialogue scenario" is a scenario text for conducting a dialogue with a past era or person specified by the user.

[1074] A "terminal" is a computing device used by a user, which displays the dialogue scenario sent from the server and retransmits input from the user.

[1075] "Request data" is data that records the user's selections and actions, is sent to the server, and is used to generate the next dialogue scenario.

[1076] A "prompt sentence" is an input sentence that causes a generative AI model to generate a dialogue scenario, and is text that contains specific instructions and information that the server passes to the generative AI model.

[1077] This invention is a game system that allows users to travel back in time and solve problems while interacting with famous historical figures. This system is realized by user input, server processing, information database reference, use of generative AI models, and generation and display of dialogue scenarios.

[1078] First, the user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. This selection is made through the device's interface. For example, the user might enter "I would like to meet a famous leader from the Warring States period." The device then sends this input to the server as request data.

[1079] When the server receives a request from a user, it analyzes the content (the specified era and person). The server then references an information database to retrieve information related to the specified era and person. This information includes historical background and related events. The database used may be "Information Database X."

[1080] Based on the acquired data, the server generates a dialogue scenario using a generative AI model (e.g., GPT-4). The AI ​​generative model has the algorithms and data necessary to create natural and educationally valuable dialogue. For example, the following sentences are used as prompts:

[1081] "The user wishes to meet a famous leader from the Warring States period. Please generate a dialogue scenario with this leader, including a discussion about territorial expansion strategies."

[1082] The server compiles the generated dialogue scenario as response data and sends it to the user's device. The device then displays the dialogue scenario received from the server to the user. For example, if the scenario includes a scene in which famous leaders discuss strategies for expanding territory, that content will be displayed on the screen. The user reads this and continues the dialogue.

[1083] As the dialogue progresses, the user selects the next action from multiple options. Using the interface that displays these options, the user decides on and inputs the next action. The terminal then sends the user's selection back to the server as request data.

[1084] The server generates a new dialogue scenario based on the new request data and returns it to the user. By repeating this process, the user can progress through the story while continuing to dialogue with historical figures.

[1085] This allows users to enjoy educational value beyond just playing a game, fostering a deeper understanding of historical events. In addition, the story changes dynamically depending on the user's choices, allowing for a diverse experience.

[1086] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1087] Step 1:

[1088] User: The user uses the device interface to select the past era and historical figure they would like to meet, for example, by typing "I would like to meet a famous leader from the Warring States period."

[1089] Input: User-selected era and person information.

[1090] Output: Sent to the terminal as request data.

[1091] Specific actions: Use the drop-down menus or search boxes on the device interface to select a period or person, then click the send button.

[1092] Step 2:

[1093] Terminal: Sends user input as request data to the server.

[1094] Input: User-selected era and person information.

[1095] Output: The request data sent to the server.

[1096] Specific operation: The terminal generates request data and sends it to the server using a communication protocol (e.g., HTTPS).

[1097] Step 3:

[1098] Server: Receives the request data and analyzes its contents. Extracts information related to the specified era and historical figure.

[1099] Input: Request data.

[1100] Output: Analysis results (information on era and person).

[1101] Specific operation: The database access module reads the contents of the request data, and the query generation function creates a corresponding database query.

[1102] Step 4:

[1103] Server: Refers to the information database and retrieves data related to the specified era or person.

[1104] Input: Analysis results (information on the era and people).

[1105] Output: The retrieved data.

[1106] Specific operation: The database access function executes the generated query and retrieves the corresponding information from "Information Database X."

[1107] Step 5:

[1108] Server: Based on the acquired data, prompt sentences are input into a generative AI model (e.g., GPT-4) to generate a dialogue scenario.

[1109] Input: The retrieved data.

[1110] Output: The generated dialogue scenario.

[1111] Specific operation: A prompt sentence is created for the generative AI model, and related information is provided to the model to request scenario generation.

[1112] Example prompt sentence:

[1113] "The user wishes to meet a famous leader from the Warring States period. Please generate a dialogue scenario with this leader, including a discussion about territorial expansion strategies."

[1114] Step 6:

[1115] Server: Sends the generated dialogue scenario to the terminal as response data.

[1116] Input: The generated dialogue scenario.

[1117] Output: Sent to the terminal as response data.

[1118] Specific operation: The server packages the generated scenario as response data and sends it to the terminal using a communication protocol.

[1119] Step 7:

[1120] Terminal: Displays the received dialogue scenario to the user.

[1121] Input: Response data.

[1122] Output: The dialogue scenario to be displayed.

[1123] Specific operation: The terminal receives the response data and visually presents it to the user using a rendering engine to display it on the screen.

[1124] Step 8:

[1125] User: Read the dialogue scenario and choose the next action from multiple options.

[1126] Input: The displayed dialogue scenario.

[1127] Output: User's choice of next action.

[1128] Specific operation: Click on an option displayed in the user interface to generate the following request data.

[1129] Step 9:

[1130] Terminal: The user's selection is sent to the server again as request data.

[1131] Input: The user's selection.

[1132] Output: The request data to be resent to the server.

[1133] Specific operation: The terminal creates request data based on the user's selection and resends it to the server using the communication protocol.

[1134] Step 10:

[1135] Server: Based on the new request data, a new dialogue scenario is generated using the regenerative AI model.

[1136] Input: New request data.

[1137] Output: The regenerated dialogue scenario.

[1138] Specific operation: A new prompt sentence is input into the generative AI model, and the process of generating a new scenario is repeated.

[1139] Step 11:

[1140] Server: Sends the newly generated scenario to the terminal and displays it to the user, who can continue the dialogue.

[1141] Input: The regenerated dialogue scenario.

[1142] Output: The new scenario retransmitted to the user terminal.

[1143] Specific operation: The server packages the newly generated scenario as response data and sends it to the terminal using a communication protocol. The terminal receives it and displays it to the user.

[1144] (Application example 1)

[1145] 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."

[1146] In modern education and entertainment, there is a lack of ways for users to interact with historical events and figures of the past to gain deeper understanding and learning. Furthermore, the lack of interactive experiences in virtual environments makes it difficult for users to experience historical content in a more realistic way. To address this issue, a system that provides educational content while interacting with past eras and historical figures is needed.

[1147] 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.

[1148] In this invention, the server includes input means for the user to select a past era and historical figure, means for the server to refer to a historical information database and acquire related information based on the user's input, means for the server to generate a dialogue scenario using the acquired information and a generation AI model, means for the server to transmit the generated dialogue scenario to a user terminal, means for the terminal to display the received dialogue scenario to the user, means for providing an interface linked to the virtual environment via a head-mounted display, and means for the terminal to generate next request data based on the user's selection and transmit it to the server. This allows the user to enjoy a realistic experience of high educational value while interacting with historical eras and figures in a virtual environment.

[1149] "User" refers to any individual or entity who utilizes the system to enjoy interacting with past eras and historical figures.

[1150] "Input means" refers to an interface or device that allows a user to select a past era or historical figure, such as a menu displayed on the screen of a smartphone or head-mounted display.

[1151] The "server" is a computer system that receives requests from users, references a historical information database to obtain relevant information, generates a dialogue scenario using a generative AI model, and sends it as a response to the user's terminal.

[1152] A "historical information database" is a database system for storing and managing information about various historical backgrounds and historical figures.

[1153] "Generative AI models" are algorithms and machine learning models used to create natural and educationally valuable dialogue scenarios based on acquired historical information.

[1154] A "dialogue scenario" is a sequence of text and audio that represents a dialogue between a user and a historical figure, generated based on acquired information and a generative AI model.

[1155] "User terminal" refers to a device used by a user to access the system, including a smartphone, smart glasses, a head-mounted display, etc.

[1156] A "head-mounted display" is a device worn by a user that allows them to visually and interactively experience a virtual environment.

[1157] "Request Data" is a data set sent to the server containing information entered by the user to determine the next action.

[1158] This invention provides a game system in which users travel back in time to solve problems while interacting with historical figures. The system is primarily composed of a user terminal, a server, a historical information database, and a generative AI model.

[1159] First, the user uses a user interface to select the past era and historical figure they want to meet. Specifically, they use a selection menu displayed on a smartphone or head-mounted display (HMD). When the user inputs their selection information, the device sends this input as request data to the server.

[1160] The server, which is run using Flask (a framework), receives and analyzes requests from users. The server then accesses a historical information database (e.g., MySQL) to retrieve information related to the era and person specified by the user. This information includes the historical background and related events.

[1161] Next, the server uses a generative AI model (e.g., a model using TensorFlow) to generate a dialogue scenario based on the acquired historical information. The generative AI model has the algorithms and data necessary to create natural and educationally valuable dialogue. The server compiles the generated dialogue scenario as response data and sends it back to the user device.

[1162] The device displays the received dialogue scenario to the user, who then inputs options to select the next action based on the dialogue scenario. When using a head-mounted display, the user enters a virtual environment and can freely interact with historical figures within it.

[1163] For example, if a user selects "French Revolutionary Era" and "Famous Politicians" as a historical figure, the user interface might prompt them with the following:

[1164] plain

[1165] You travel back in time to Paris during the French Revolution. You meet a famous politician. Ask him about the significance of the French Revolution.

[1166] Based on the above prompts, the generative AI model generates educational and interactive dialogue scenarios and provides them to users, allowing them to interact with past eras and historical figures in a virtual environment, providing a realistic and educationally valuable experience.

[1167] As described above, this system combines hardware and software to provide a means of promoting a deeper understanding of historical figures and events.

[1168] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1169] Step 1:

[1170] The user uses the terminal to select the past era and historical figure they would like to meet. At this time, they input their choices regarding the era and figure using the user interface. The input selection information is sent to the server as request data.

[1171] Input: User-selected period and historical figure

[1172] Output: Request data (selection information)

[1173] Specific operation: The user clicks an option from the menu on the head-mounted display or smartphone screen, and the device sends this information to the server as request data.

[1174] Step 2:

[1175] The server receives and analyzes the request data. Based on the analyzed data, the server references a historical information database to retrieve information related to the specified era or person.

[1176] Input: Request data

[1177] Output: Related historical information (historical background and people's data)

[1178] What happens: The Flask server receives the request, parses it, and queries the MySQL database to get the required information.

[1179] Step 3:

[1180] The server generates a dialogue scenario using the acquired historical information and a generative AI model. The generative AI model generates a dialogue scenario in natural language based on prompt sentences about Paris during the French Revolution and politicians of that era.

[1181] Input: History information, prompt text

[1182] Output: Dialogue scenario

[1183] Specific operation: The server uses TensorFlow to call the generative AI model and generates a dialogue scenario using the prompt, "You have traveled back in time to Paris during the French Revolution. You meet a famous politician. Ask him about the significance of the French Revolution."

[1184] Step 4:

[1185] The server compiles the generated dialogue scenario as response data and transmits it to the user terminal.

[1186] Input: Dialogue scenario

[1187] Output: Response data

[1188] Specific operation: The server converts the generated dialogue scenario into response data and sends it to the user's device.

[1189] Step 5:

[1190] The terminal displays the received dialogue scenario to the user, who reads the displayed dialogue scenario and inputs options to select the next action through the interface.

[1191] Input: Response data (dialogue scenario)

[1192] Output: User's choice

[1193] Specific operation: A dialogue scenario is displayed on the head-mounted display or smartphone screen, and the user selects the following options:

[1194] Step 6:

[1195] After the user inputs a choice for selecting the next action, the terminal transmits the selection to the server again as request data.

[1196] Input: User's choice

[1197] Output: Request data

[1198] Specific operation: The user inputs the next option through the interface, and the terminal again sends the information to the server as request data.

[1199] 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.

[1200] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, the aim is to improve the quality of the dialogue and enrich the user experience. This system is realized by user input, server processing, database reference, use of AI generation models, the emotion engine, and the generation and display of dialogue scenarios.

[1201] First, the user uses the device to select the era they want to travel to and the historical figure they want to meet. This involves the user inputting their choices on the interface. The device receives this input and sends it to the server as request data.

[1202] When the server receives a request from a user, it analyzes the content of the request (e.g., the specified era and person). Then, the server refers to a historical database to retrieve information related to the specified era and person. This information includes historical background and related events.

[1203] Based on the acquired data, the server generates a dialogue scenario using an AI generation model. The AI ​​generation model has the algorithms and data necessary to create natural dialogue that is educationally valuable. The server then combines an emotion engine, which analyzes the user's dialogue content and reactions to options and recognizes the user's emotions.

[1204] The server dynamically adjusts the dialogue scenario based on the user's emotions. For example, if the user expresses surprise during a dialogue, the server can provide content tailored to that reaction in the next scenario. This makes the dialogue feel more natural and immersive.

[1205] The generated dialogue scenario is compiled as response data and sent to the user's terminal. The terminal displays the received dialogue scenario to the user. The user reads the dialogue scenario and makes their next choice. Using an interface that displays options, the user decides on and inputs their next action.

[1206] The device then sends the user's selection to the server again as request data. The server then generates a new dialogue scenario based on the new request data. At this time, the emotion engine again recognizes the user's emotions and reflects them in the scenario.

[1207] Specific examples are shown below.

[1208] Example 1: Dialogue with a warlord from the Sengoku period

[1209] The user inputs that they would like to meet a famous warlord from the Warring States period. The server references a historical database related to the Warring States period and retrieves data related to the specified warlord. The AI ​​generation model and emotion engine use this data to generate a dialogue scenario. The generated scenario includes a scene in which the warlords discuss strategy. When the user selects an option based on the scenario, the server generates a new scenario based on that option. At this time, the emotion engine recognizes the user's reaction and reflects it in the next scenario.

[1210] Example 2: Dialogue with a Renaissance inventor

[1211] The user inputs that they would like to meet a famous inventor from the Renaissance. The server references a historical database related to the Renaissance and retrieves data related to the specified inventor. The AI ​​generation model and emotion engine use this data to generate a dialogue scenario. The generated scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the emotion engine recognizes the user's reaction and reflects it in the next scenario.

[1212] In this way, the system provides users with educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[1213] The processing flow will be explained below.

[1214] Step 1:

[1215] The user selects the era and historical figure they wish to travel to on their device, enters their choices using a specific interface, and presses the submit button.

[1216] Step 2:

[1217] The terminal transmits the generated request data to the server. The request data includes information on the era and person specified by the user.

[1218] Step 3:

[1219] The server receives the request data from the device, analyzes it, and extracts information related to the appropriate era and person.

[1220] Step 4:

[1221] Based on the information extracted by the server, the server references a historical database that contains detailed information and background on the specified era or person to obtain data related to the specified era or person.

[1222] Step 5:

[1223] The server inputs the acquired historical data into an AI generation model, which then generates a dialogue scenario based on this data. The generation process uses a pre-trained algorithm.

[1224] Step 6:

[1225] The server passes the generated dialogue scenario to the emotion engine, which analyzes the emotional elements in the dialogue scenario and adjusts the scenario so that the user's emotions are clearly reflected.

[1226] Step 7:

[1227] The server compiles a dialogue scenario that reflects the analysis results of the emotion engine into final response data, which includes the content of the dialogue with the user.

[1228] Step 8:

[1229] The server sends the response data to the terminal, allowing the user to receive the next dialogue scenario.

[1230] Step 9:

[1231] The terminal displays the received dialogue scenario to the user. The dialogue content is displayed on the screen, and the user reads the scenario and makes the next selection.

[1232] Step 10:

[1233] The user uses the terminal interface to select the next action from the displayed options, which generates the next request data.

[1234] Step 11:

[1235] The terminal sends the generated request data to the server again. The server receives the new request data and performs the dialogue scenario generation process again.

[1236] Step 12:

[1237] The server then uses the emotion engine to recognize the user's emotions again and reflect them in a new dialogue scenario. By repeating this process, the user can continue to interact with historical figures and progress the story.

[1238] The above is the specific processing flow of the system that combines the emotion engine. At each step, the user, device, and server play their respective roles, and the system as a whole functions.

[1239] Example 2

[1240] 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."

[1241] Conventional interactive game systems have limited user experience because they do not consider the user's emotions and the quality of the dialogue is constant. Furthermore, even games themed around dialogue with historical figures cannot dynamically adjust the scenario based on the user's choices. This makes it difficult for users to have a diverse and immersive experience.

[1242] 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.

[1243] In this invention, the server includes an input means, a means for referencing a database to acquire related data, a means for generating a dialogue scenario using a generative AI model, and a means for recognizing a user's emotions using an emotion analysis engine and dynamically adjusting the dialogue scenario, thereby dynamically changing the dialogue scenario according to the user's emotions, enabling a more diverse and richer experience.

[1244] "Users" are people who use the system to enjoy dialogue with past eras and historical figures.

[1245] The "input means" is an interface that allows the user to select a past era and historical figure.

[1246] A "server" is a computer system that processes data based on user input, generates a dialogue scenario, and transmits it to a terminal.

[1247] A "database" is a data storage that stores historical data and is referenced by the server.

[1248] The "means for obtaining related data" is a function that allows the server to collect necessary information from a database based on the era and person specified by the user.

[1249] A "generative AI model" is a software model that includes algorithms and training data that generate natural and educationally valuable dialogue scenarios based on acquired data.

[1250] "Means for generating dialogue scenarios" refers to a function that creates dialogue content using a generative AI model.

[1251] An "emotion analysis engine" is a software component that recognizes emotions based on user input and selections and adjusts the dialogue scenario to match those emotions.

[1252] The "means for dynamically adjusting the dialogue scenario" is a function that changes the dialogue content according to the user's emotions based on the output of the emotion analysis engine.

[1253] A "terminal" is a device that allows a user to access the system, input options, and display dialogue scenarios.

[1254] "Request data" is data used to convey user selections and inputs to the server.

[1255] This invention is a game system in which users experience past eras and solve problems through dialogue with famous historical figures. The system is implemented through user input, server processing, database reference, use of generative AI models, a sentiment analysis engine, and the generation and display of dialogue scenarios. Specific implementation methods for the system are described below.

[1256] User Input

[1257] The user uses the terminal to select the era to which they would like to travel back in time and the historical figure they would like to meet. This input is made on the terminal's interface, and the terminal sends this input to the server as request data.

[1258] Server Processing

[1259] When the server receives a request from a user, it analyzes the content of the request (the specified era and person), then references the history database to retrieve relevant information, including historical background and related events.

[1260] Dialogue scenario generation and sentiment analysis

[1261] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. This generative AI model includes algorithms and data for generating natural dialogue that is educationally valuable. The server also recognizes the user's emotions using an emotion analysis engine. The emotion analysis engine analyzes the user's dialogue content and reactions to options to recognize the user's emotions.

[1262] Adjusting the dialogue scenario

[1263] The server dynamically adjusts the dialogue scenario based on the user's emotions. For example, if the user expresses surprise, the server will adapt the scenario to reflect that emotion, making the dialogue more natural and immersive.

[1264] Viewing dialogue scenarios

[1265] The server compiles the generated dialogue scenario as response data and sends it to the terminal. The terminal displays this dialogue scenario to the user. The user reads the displayed scenario, decides on the next action, and inputs their choices.

[1266] Specific examples

[1267] Specific examples are shown below.

[1268] Example 1: Dialogue with a warlord from the Sengoku period

[1269] The user inputs "I want to meet a warlord from the Sengoku period." The server references a database related to the Sengoku period and retrieves data related to the specified warlord. The generative AI model and sentiment analysis engine use this data to generate a dialogue scenario. The scenario includes a scene in which the warlords discuss strategy. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the sentiment analysis engine recognizes the user's reaction and reflects it in the next scenario.

[1270] Example 2: Dialogue with a Renaissance inventor

[1271] The user enters "I want to meet a Renaissance inventor." The server references a database related to the Renaissance and retrieves data related to the specified inventor. The generative AI model and sentiment analysis engine use this data to generate a dialogue scenario. The scenario includes a discussion about a new invention. When the user selects an option based on the scenario, the server generates a new scenario based on that selection. At this time, the sentiment analysis engine recognizes the user's reaction and reflects it in the next scenario.

[1272] This allows the invention to offer users educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[1273] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1274] Step 1:

[1275] The user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. This input is made on the device's interface. For example, the user enters "I would like to meet a warlord from the Sengoku period." The options entered by the user are generated as request data as output.

[1276] Specific operation: The user types the specified era and person into the input fields of the interface and presses the "Submit" button.

[1277] Step 2:

[1278] The terminal sends request data to the server. As input, it receives request data including the user's choices. As output, it sends data to the server as an HTTP request.

[1279] What it does: The software on the device captures user input, creates an HTTP request, and sends it to the server.

[1280] Step 3:

[1281] The server analyzes the received request data and identifies the specified era and person. As input, it receives the request data sent from the terminal. As output, the analysis results are prepared as a database query.

[1282] Specific operation: The server parses the request data in JSON format and extracts the specified era and person.

[1283] Step 4:

[1284] The server refers to the historical database and retrieves information related to the specified period and person. As input, it receives the analysis results (period and person). As output, it returns the retrieved historical data.

[1285] Specific behavior: The server executes an SQL query to gather data related to the specified era and person.

[1286] Step 5:

[1287] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. As input, it receives the acquired historical data and supplies it to the generative AI model. As output, it obtains the generated dialogue scenario.

[1288] Specific operation: The server sends prompt sentences to the generative AI model (e.g., GPT-4) to generate a dialogue scenario.

[1289] Step 6:

[1290] The server uses a sentiment analysis engine to recognize the user's sentiment. As input, it receives data including the user's dialogue and choices. As output, it returns the user's sentiment score.

[1291] Specific operation: The server passes the user's text input to the sentiment analysis engine and obtains a sentiment score.

[1292] Step 7:

[1293] The server dynamically adjusts the dialogue scenario based on the recognized user emotion. As input, it receives the emotion score and the generated dialogue scenario. As output, it obtains the adjusted dialogue scenario.

[1294] Specific operation: The content of the dialogue scenario is changed according to the emotion score, and the next scenario is constructed.

[1295] Step 8:

[1296] The server sends the generated dialogue scenario to the terminal as response data. As input, it receives the adjusted dialogue scenario. As output, it sends response data in JSON format to the terminal.

[1297] Specific operation: The server constructs the generated scenario in JSON format and sends it to the terminal as an HTTP response.

[1298] Step 9:

[1299] The terminal displays the received dialogue scenario to the user. As input, it receives response data from the server. As output, the user can visually check the dialogue scenario.

[1300] Specific operation: The terminal's GUI displays the dialogue scenario in a text box or dialogue screen.

[1301] Step 10:

[1302] The user selects the next action based on the scenario. As input, a new option is generated based on the dialogue scenario. As output, a new option is generated and sent to the server again as request data.

[1303] Specific actions: The user selects a displayed option, enters the option, and presses the "Submit" button.

[1304] (Application example 2)

[1305] 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."

[1306] In conventional history education and entertainment content, it has been difficult to provide an interactive experience that changes dynamically according to the user's emotions and choices. Furthermore, the means for providing immersive content are limited, making it difficult to improve the quality of the user experience. In this situation, there has been a demand for the development of a game system that allows users to travel back in time and solve problems while interacting with famous historical figures.

[1307] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotional state using an emotion engine and dynamically adjusting a dialogue scenario, means for generating immersive visual content using a VR rendering engine in the terminal, and means for generating a natural dialogue scenario using a generative AI model. This enables an interactive experience that changes dynamically according to the user's emotions and selections, and can improve the quality of the user experience by providing immersive visual content.

[1308] The "input means" is a means by which the user selects a past era and a historical figure.

[1309] A "database" is a source of information that stores information about past periods and historical figures.

[1310] A "generative AI model" is an artificial intelligence model that generates dialogue scenarios based on acquired information.

[1311] The "emotion engine" is an engine that analyzes the user's emotional state and dynamically adjusts the dialogue scenario based on that.

[1312] A "VR rendering engine" is an engine that integrates interactive scenarios and visual content to generate immersive virtual reality experiences.

[1313] A "dialogue scenario" is a series of stories or conversation scenarios that are generated for the user to interact with a past era or historical figure selected by the user.

[1314] A "terminal" is a device that a user uses to display and operate an interaction scenario.

[1315] This invention is a game system in which the user travels back in time to solve problems while interacting with famous historical figures. By combining it with an emotion engine that recognizes the user's emotions, the aim is to improve the quality of the dialogue and enrich the user experience. This system is realized by user input, server processing, database reference, use of generative AI models, the emotion engine, and the generation and display of dialogue scenarios.

[1316] First, the user uses the device to select the era to which they would like to travel back in time and the historical figure they would like to meet. The device is equipped with an input means for the user to enter their selection. The device receives this input and sends it to the server as request data.

[1317] When the server receives a request from a user, it analyzes the content of the request (for example, the specified era and person). The server then references the database to retrieve information related to the specified era and person, including historical background and related events.

[1318] Based on the acquired data, the server generates a dialogue scenario using a generative AI model. The generative AI model has the algorithms and data necessary to create natural and educationally valuable dialogue. An example of a prompt sentence to input to the generative AI model is shown below:

[1319] Generate a dialogue where the user wants to meet a Renaissance inventor. Renaissance inventors made significant contributions to human progress. The user expresses joy.

[1320] The server combines an emotion engine, which analyzes the user's dialogue content and reactions to options to recognize the user's emotions. Based on the recognized user emotions, the dialogue scenario is dynamically adjusted. For example, if the user expresses joy during a dialogue, the next scenario can provide content tailored to that reaction. This makes the dialogue more natural and immersive.

[1321] The generated dialogue scenario is compiled as response data and sent to the user's device. The device displays the received dialogue scenario to the user. The user reads the dialogue scenario and makes their next choice. Using an interface displaying options, the user decides on and inputs their next action. The device then sends the user's choice back to the server as request data. This process is repeated, constantly generating a new scenario that reflects the user's emotions and choices.

[1322] Furthermore, the device uses a VR rendering engine to generate immersive visual content, which realistically recreates historical events and settings, allowing users to experience the experience as if they were actually there. The hardware used includes VR head-mounted displays (e.g., Oculus Rift, HTC Vive).

[1323] In this way, the system provides users with educational value beyond mere games, and emotion recognition makes interactions deeper and more natural. The story dynamically changes based on user choices and adapts based on emotions, providing a diverse and rich experience.

[1324] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1325] Step 1:

[1326] A user uses a terminal to select a past era and a historical figure they would like to meet. Specifically, the user inputs their selections through the interface on the terminal, and this input is sent by the terminal to the server as request data. The input is information about the selected era and figure, and the output is the request data sent to the server.

[1327] Step 2:

[1328] The server receives request data from the user and retrieves data related to the specified period and person. Specifically, the server references a database to extract historical information corresponding to the request. The input is the request data, a query is made to the database, and the output is the retrieved historical information.

[1329] Step 3:

[1330] Based on the historical information acquired by the server, a prompt sentence is passed to the generative AI model to generate a dialogue scenario. Specifically, a prompt sentence is created based on the historical information, the user's request, and the analysis results of the emotion engine, and this is then input into the generative AI model. The input is the prompt sentence, and the output is the generated dialogue scenario.

[1331] Step 4:

[1332] The server compiles the generated dialogue scenario as response data and sends it to the user's device. Specifically, the generated dialogue scenario is formatted in JSON format or similar and sent to the device. The input is the generated dialogue scenario, and the output is the response data sent to the device.

[1333] Step 5:

[1334] The dialogue scenario received by the device is displayed to the user. Specifically, the dialogue scenario is visually displayed using the device's display or a VR head-mounted display. The input is the response data from the server, and the output is the dialogue scenario displayed to the user.

[1335] Step 6:

[1336] The terminal receives the user's selection and sends it back to the server. Specifically, the user inputs options through the interface and sends the selection data to the server as request data. The input is the user's selection, and the output is the request data to the server.

[1337] Step 7:

[1338] The server uses an emotion engine to analyze the user's emotional state and dynamically adjust the dialogue scenario. Specifically, it analyzes the user's choices and reactions during the dialogue and appropriately changes the content and difficulty of the scenario. The input is the user's choices and emotional data, and the output is the adjusted dialogue scenario.

[1339] Step 8:

[1340] The terminal uses a VR rendering engine to generate immersive visual content. Specifically, it generates a VR scene based on the adjusted interaction scenario and the acquired historical information and displays it to the user. The input is the adjusted interaction scenario and historical information, and the output is the VR-rendered visual content.

[1341] 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.

[1342] 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.

[1343] 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.

[1344] 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.

[1345] 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.

[1346] 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.

[1347] 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).

[1348] 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.

[1349] 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."

[1350] 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.

[1351] 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).

[1352] 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.

[1353] 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.

[1354] 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.

[1355] 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.

[1356] 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.

[1357] 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.

[1358] 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.

[1359] 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.

[1360] 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.

[1361] 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.

[1362] The following is further disclosed regarding the above embodiment.

[1363] (Claim 1)

[1364] input means for a user to select a past era and historical figure;

[1365] a means for the server to refer to a history database and acquire relevant data based on the user's input;

[1366] A means for generating a dialogue scenario using the acquired data and the AI ​​generation model by the server;

[1367] a means for transmitting the generated dialogue scenario to a user's terminal by the server;

[1368] means for displaying the dialogue scenario received by the terminal to the user;

[1369] a means for the terminal to generate next request data based on the user's selection and transmit the next request data to the server;

[1370] A system including:

[1371] (Claim 2)

[1372] 2. The system of claim 1, further comprising means for the server to use data obtained from the historical database to pass input data to the AI ​​generative model to generate text for the scenario.

[1373] (Claim 3)

[1374] 2. The system according to claim 1, further comprising means for the terminal to transmit the user's selection again to the server, and for the server to generate the next dialogue scenario.

[1375] "Example 1"

[1376] (Claim 1)

[1377] an input device for a user to select a past era and a historical figure;

[1378] a device in which a server refers to an information database based on a user's input and acquires related data;

[1379] a device for generating a dialogue scenario using the data acquired by the server and the generated AI model;

[1380] a device for transmitting the dialogue scenario generated by the server to a user's terminal;

[1381] a device for displaying the dialogue scenario received by the terminal to a user;

[1382] a device for generating next request data based on the user's selection and transmitting the next request data to the server;

[1383] a device in which a server generates a dialogue scenario again based on a new selection by the user;

[1384] A system including:

[1385] (Claim 2)

[1386] The system of claim 1, further comprising a device in which the server uses data obtained from the information database to pass input data to a generative AI model and generate text for the scenario.

[1387] (Claim 3)

[1388] 2. The system according to claim 1, further comprising a device for the terminal to transmit the user's choices again to the server, and for the server to generate a new dialogue scenario.

[1389] "Application Example 1"

[1390] (Claim 1)

[1391] input means for a user to select a past era and historical figure;

[1392] a means for the server to refer to a history information database based on a user's input and acquire related information;

[1393] A means for generating a dialogue scenario using the acquired information and the generated AI model by the server;

[1394] a means for transmitting the generated dialogue scenario to a user terminal by the server;

[1395] means for displaying the dialogue scenario received by the terminal to the user;

[1396] A means for providing an interface linked to a virtual environment using a head-mounted display;

[1397] a means for the terminal to generate next request data based on the user's selection and transmit the next request data to the server;

[1398] A system including:

[1399] (Claim 2)

[1400] The system of claim 1, further comprising means for the server to use information obtained from the historical information database to pass input data to the generative AI model and generate text for the scenario.

[1401] (Claim 3)

[1402] 2. The system according to claim 1, further comprising means for the terminal to transmit the user's selection again to the server, and for the server to generate the next dialogue scenario.

[1403] "Example 2: Combining Emotion Engines"

[1404] (Claim 1)

[1405] input means for a user to select a past era and historical figure;

[1406] A means for the server to refer to a database and acquire related data based on the user's input;

[1407] A means for generating a dialogue scenario using the acquired data and the generated AI model by the server;

[1408] a means for transmitting the generated dialogue scenario to a user's terminal by the server;

[1409] means for displaying the dialogue scenario received by the terminal to the user;

[1410] a means for the terminal to generate next request data based on the user's selection and transmit the next request data to the server;

[1411] a means for the server to recognize the user's emotions using an emotion analysis engine and dynamically adjust the dialogue scenario;

[1412] A system including:

[1413] (Claim 2)

[1414] 2. The system of claim 1, further comprising means for the server to use data obtained from the database to pass input data to a generative AI model to generate text for the scenario.

[1415] (Claim 3)

[1416] 2. The system according to claim 1, further comprising means for the terminal to transmit the user's selection again to the server, and for the server to generate the next dialogue scenario.

[1417] "Application example 2 when combining emotion engines"

[1418] (Claim 1)

[1419] input means for a user to select a past era and historical figure;

[1420] A means for the server to refer to a database and acquire related information based on the user's input;

[1421] A means for generating a dialogue scenario using the acquired information and the generated AI model by the server;

[1422] a means for transmitting the generated dialogue scenario to a user's terminal by the server;

[1423] means for displaying the dialogue scenario received by the terminal to the user;

[1424] a means for the terminal to generate next request data based on the user's selection and transmit the next request data to the server;

[1425] A means for analyzing a user's emotional state using an emotion engine and dynamically adjusting a dialogue scenario;

[1426] means for generating immersive visual content using a VR rendering engine at the device;

[1427] A system including:

[1428] (Claim 2)

[1429] 2. The system of claim 1, further comprising means for the server to use information obtained from the database to pass input data to the generative AI model to generate text for the scenario.

[1430] (Claim 3)

[1431] 2. The system according to claim 1, further comprising means for the terminal to transmit the user's selection again to the server, and for the server to generate the next dialogue scenario. [Explanation of symbols]

[1432] 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. input means for a user to select a past era and historical figure; a means for the server to refer to a history database and acquire relevant data based on the user's input; A means for generating a dialogue scenario using the acquired data and the AI ​​generation model by the server; a means for transmitting the generated dialogue scenario to a user's terminal by the server; means for displaying the dialogue scenario received by the terminal to the user; a means for the terminal to generate next request data based on the user's selection and transmit the next request data to the server; A system including:

2. 2. The system of claim 1, further comprising means for the server to use data obtained from the historical database to pass input data to the AI ​​generation model and generate text for the scenario.

3. 2. The system according to claim 1, further comprising means for the terminal to transmit the user's selection again to the server, and for the server to generate the next dialogue scenario.

Images