system

Abstract

We provide the system. [Solution] A means of accessing a historical record database based on information received from the user and obtaining ancestral information, A method for analyzing acquired ancestral information and automatically generating a family tree, A means of visually presenting the generated family tree to the user, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Grasping the family history and ancestor information in detail is very complicated for people living in areas where past records are scattered or where it is difficult to obtain information. Since there is a lack of methods for appropriately collecting, analyzing, and visually presenting this information, there is a problem that individual family lines and histories cannot be easily understood and shared.

Means for Solving the Problems

[0005] This invention provides a means to access a historical record database based on basic information from the user, and embodies a system that automatically generates a family tree by analyzing the acquired ancestral information. Furthermore, it includes means to decipher ancient documents using digital archives and supplement the data, and visually presents the generated family tree. It also includes means to deepen the user's understanding of their family lineage through an interactive experience that provides the user with information about the historical background and culture of their ancestors.

[0006] A "user" is an entity that provides information to the system and receives the results of the analysis of ancestral information.

[0007] "Information" refers to basic data that users provide to the system, including name, date of birth, and family structure.

[0008] A "historical records database" is a data storage system that aggregates past family registers, historical documents, and official records to store information about one's ancestors.

[0009] "Ancestral information" refers to historical records and data about the user's ancestors, which are used to generate a family tree.

[0010] "Analysis" refers to the data processing process used to verify acquired ancestral information and generate a family tree while maintaining consistency.

[0011] "Automatic generation" refers to the process where a system creates a family tree based on a pre-configured algorithm, without requiring manual intervention.

[0012] A "family tree" is a document that visually represents the user's lineage from their ancestors to the present day.

[0013] "Visual presentation" means displaying and providing the analyzed results on the screen in a format that is easy for the user to understand.

[0014] "Digital Archive" refers to a database that electronically stores ancient documents and historical materials and provides them in an easily accessible form.

[0015] "Decryption" refers to the act of converting non-modern language ancient documents in a digital archive into modern language using AI technology.

[0016] "Interactive Experience" refers to a method in which the system interactively exchanges information with the user and provides detailed information and historical background about ancestors.

Brief Explanation of Drawings

[0017] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

[0018] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0021] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0022] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0023] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0025] [First Embodiment]

[0026] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0027] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0030] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0033] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0035] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0037] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0038] This invention is a system that allows users to easily grasp their ancestral information and understand the overall picture of their family lineage. The following are embodiments of this invention.

[0039] When a user enters basic information via a terminal, the system uses that information to access a historical record database on a server. The server searches for records related to the user's input and analyzes the collected data with an AI agent. This analysis extracts ancestral information in the user's family lineage, and any duplicates or inconsistencies are corrected.

[0040] Next, the agent automatically generates a family tree based on this data. The generated family tree is constructed in a visually easy-to-understand format, clearly showing its structure and the relationships between the pieces of information, and is displayed on the terminal. Through this family tree, users can verify details of their own lineage and ancestors. The server also accesses digital archives as needed, automatically deciphering ancient documents to supplement the information in the family tree.

[0041] Furthermore, the agent provides users with an interactive dialogue experience. Through conversations with the agent, users can learn in depth about the historical background and culture of their ancestors' lives. For example, they can obtain information such as the role a particular ancestor played in a specific era and the region where they lived. This dialogue is conducted using voice and text, and also has value as a history education tool.

[0042] As a concrete example, if a user wants to research their ancestors, they first input information into the terminal, and through the process of automatically generating a family tree, they can discover the existence of ancestors who were active during the Sengoku period (Warring States period). At that time, the server deciphers ancient documents and supplements and presents details about the ancestor's military history and social status at the time. In this way, the present invention deepens the user's knowledge about their ancestors and provides useful information for the individual and their family.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The user enters their basic information, such as their name, date of birth, and family structure, into the terminal.

[0046] Step 2:

[0047] The terminal sends the entered information to the server and then makes a request to retrieve ancestral information based on that information.

[0048] Step 3:

[0049] The server accesses the historical records database based on the received user information and searches for relevant ancestral information. This process filters the vast amount of records in the database to determine which data is most relevant.

[0050] Step 4:

[0051] The server uses an AI agent to analyze the acquired ancestral information. During the analysis process, it scrutinizes duplicate and contradictory data to clarify the fundamental data of the family tree.

[0052] Step 5:

[0053] The agent automatically generates a family tree based on the analysis results. This family tree is visually organized based on the relationships between ancestors and their chronological order.

[0054] Step 6:

[0055] The server accesses digital archives and deciphers ancient documents as needed. This deciphering complements the historical context missing from the genealogical information.

[0056] Step 7:

[0057] The device displays the generated family tree to the user. This display includes detailed information and historical background content for each ancestor.

[0058] Step 8:

[0059] Users can initiate a conversation with an agent and gain further knowledge about their ancestors. The agent interactively answers questions and provides background information and cultural anecdotes.

[0060] (Example 1)

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

[0062] In modern times, while it is considered extremely important for individuals to understand their own genealogical information, there is the challenge of the significant time and effort required to collect and organize this information. Furthermore, learning about past historical backgrounds and cultural knowledge requires specialized knowledge, making it difficult for the average user to access.

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

[0064] In this invention, the server includes means for an information processing device to access a historical database based on basic information obtained from the user and search for genealogical information, means for an analysis device to analyze the genealogical information collected based on the search and automatically construct a family tree, and means for a terminal to visually present the constructed family tree. As a result, the user can efficiently and intuitively understand their own genealogical information and further deepen their knowledge of historical background and cultural context.

[0065] A "user" refers to an individual or group that inputs information for the purpose of exploring or learning about genealogical information.

[0066] An "information processing device" refers to a computer system that uses basic information obtained from users to access historical databases and search for data.

[0067] A "historical database" refers to a collection of data that contains information about people and events from the past.

[0068] "Genealogical information" refers to detailed data related to an individual's family lineage and ancestors.

[0069] An "analytical device" refers to a computer system used to analyze collected genealogical information and organize and extract necessary information.

[0070] A "family tree" refers to a diagrammatic data set that structurally shows an individual's family and ancestral relationships.

[0071] A "terminal" refers to an electronic device used by a user to input information and check the results.

[0072] "Visual presentation" refers to displaying information in a way that is easy for users to understand intuitively.

[0073] "Digitized archival materials" refers to historical documents and records that have been preserved as electronic data.

[0074] "Ancient documents" refer to historical documents of historical value.

[0075] "Interaction" refers to the dialogue between the user and the system through information.

[0076] This invention provides a system for users to quickly and effectively grasp their own genealogical information and to acquire historical background and cultural knowledge. This system is implemented as follows:

[0077] Users input basic information via a dedicated user interface through a terminal. This information includes name, date of birth, and place of birth. The terminal transfers this input information to a server. The server uses an information processing device to access a historical database built on the cloud. This database contains extensive information about historical figures and their lineages.

[0078] The server analyzes the collected data using an analysis device and organizes and extracts genealogical information using an AI agent. The AI ​​agent utilizes natural language processing techniques and machine learning algorithms to efficiently correct information duplication and inconsistencies. Based on the analyzed information, the server automatically generates a family tree. The family tree is constructed as a graph structure and designed to be intuitively displayed using a visualization library.

[0079] The generated family tree is sent from the server to the terminal and provided to the user. The user can then zoom and scroll through the terminal to examine the family tree in detail. The server also references digitized archives as needed, supplementing the genealogical information by deciphering ancient documents using optical character recognition technology.

[0080] Furthermore, users can initiate interactive conversations on their devices and learn about their ancestors' historical background and culture through dialogue with the agent. These conversations can be conducted in voice or text format and have educational value for the user.

[0081] As a concrete example, when a user enters a prompt such as, "Please create a family tree based on information about Ichiro Suzuki, who was born in the Edo period," the system executes each step and provides the user with genealogical information and related historical information. In this way, users can efficiently understand their ancestral information and learn about the culture behind it.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] The user uses a terminal to input basic information about their ancestors through a dedicated interface. This information includes name, date of birth, and place of birth. This basic information is then sent to the server as input data.

[0085] Step 2:

[0086] The server accesses a historical database using an information processing device based on the basic information received from the terminal. During database access, it extracts relevant genealogical information using SQL queries and other search algorithms. The input is basic information from the user, and the output is raw data obtained from the database.

[0087] Step 3:

[0088] The server passes the acquired raw data to an AI agent for analysis. The AI ​​agent uses natural language processing techniques to organize the data and automatically corrects redundancies and inconsistencies. The input is raw data from a database, and the output is organized and analyzed genealogical information.

[0089] Step 4:

[0090] The server automatically generates a pedigree tree based on the organized genealogical information. This process uses a graph theory-based algorithm to generate a pedigree tree composed of nodes and edges. The input is the analyzed genealogical information, and the output is the digital data of the pedigree tree.

[0091] Step 5:

[0092] The generated family tree is sent from the server to the terminal and displayed visually on the terminal. Users can zoom and scroll through the family tree to view details. The input is family tree data from the server, and the output is a graphical family tree displayed to the user.

[0093] Step 6:

[0094] The server accesses digitized archived materials as needed and analyzes ancient documents using optical character recognition (OCR). It then integrates the additional genealogical information obtained from the analysis into the family tree. The input is the digital data of the archived materials, and the output is the supplemented family tree data.

[0095] Step 7:

[0096] The user initiates an interactive dialogue on their device. The AI ​​agent on the server responds in voice or text format, providing historical background and cultural knowledge of the user's ancestors in response to their questions. The input is the user's inquiry, and the output is the information provided by the agent in response.

[0097] (Application Example 1)

[0098] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0099] Traditional genealogy generation systems have made it difficult for users to deeply understand the stories and historical background of their ancestors. Furthermore, the lack of immersive learning experiences through visual and audio content has resulted in a superficial understanding of the cultural and historical context.

[0100] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0101] This invention includes a server that accesses a historical information database based on information received from a user and obtains ancestral information; a server that analyzes the obtained ancestral information and automatically generates a family tree; and a server that automatically generates stories and historical context related to the ancestral information based on the generated family tree. This allows the user to experience stories related to their ancestors through audio and video, enabling an immersive and deep understanding of history and culture.

[0102] "A means of accessing historical information databases based on information received from users and obtaining ancestral information" refers to a function that uses basic information entered by the user to connect to specialized databases and retrieve relevant historical records and information about ancestors.

[0103] "A means of analyzing acquired ancestral information and automatically generating a family tree" refers to a function that analyzes collected data about ancestors and constructs that lineage as a visually easy-to-understand family tree.

[0104] "A means of automatically generating stories and historical context related to ancestral information based on a generated family tree" refers to a function that automatically generates historical and cultural background information in narrative form based on the information shown in the family tree.

[0105] "Means of providing generated stories to users through audio and video" refers to a function that presents generated stories to users using audio narration and video materials to make the experience more immersive.

[0106] To realize this application, the server receives basic information entered by the user on the terminal, accesses a historical information database built internally, and extracts relevant ancestral information. The server processes this information to generate a family tree. In doing so, it utilizes an artificial intelligence (AI) model to analyze the collected data and visually construct the family tree.

[0107] Next, based on the generated family tree, the AI ​​model automatically creates stories and historical context related to the ancestors. This process uses natural language processing techniques to transform historical facts into vivid narratives. The server then uses speech synthesis and video generation software to deliver these stories to the user in a more immersive way. Users can view and experience this content through their device's interface.

[0108] As a concrete example, when a user researches an ancestor, they input the historical period in which that ancestor was active. Based on this information, the server generates a story about the ancestor along with the relevant historical context, and presents it to the user visually and audibly. An example of a prompt used in this process is, "Please tell me in detail about your ancestor who was a successful merchant during the Edo period, along with the social context of that era."

[0109] The main hardware used in this system consists of servers and user terminals, while the software includes a natural language processing platform, a speech synthesis system, and video generation tools. This allows users to gain a deep understanding and knowledge of their ancestors.

[0110] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0111] Step 1:

[0112] The user enters basic information about their ancestors into the terminal. This information includes names, time periods, and geographical locations. This information is used as input data for queries to the database.

[0113] Step 2:

[0114] The server accesses a historical information database based on the received basic information. It searches for ancestral information that matches the input information and extracts it from the database. The extracted information is used as basic data for generating kinship trees and narratives.

[0115] Step 3:

[0116] The server analyzes the acquired ancestral information using an AI model and automatically generates a kinship tree. This process establishes the structure of nodes and links related to the family lineage. The output is a visually represented kinship tree.

[0117] Step 4:

[0118] Based on the generated family tree, the server uses an AI model to automatically generate stories and historical context related to ancestors. Data processing includes converting historical facts into narrative text. The output is a narrative text.

[0119] Step 5:

[0120] The server converts the generated story into audio and video using speech synthesis software and video generation software. In this process, text data is converted into audio files and visual media content.

[0121] Step 6:

[0122] The server then delivers the final generated audio and video content to the device. Through the device, users can view the ancestral stories as audio and video, providing them with a deep learning experience about their ancestors.

[0123] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0124] This invention is a system that efficiently analyzes a user's ancestral information and generates and presents a family tree. By incorporating an emotion engine, this system provides displays and interactions that respond to the user's emotions, thereby improving the user experience.

[0125] When a user enters basic information from their device, the device sends that information to the server. The server accesses a historical record database to collect and analyze relevant ancestral information and automatically generates a family tree. The generated family tree is then visually displayed on the device. This process also includes the server's ability to utilize digital archives and decipher ancient documents to supplement the information.

[0126] Furthermore, the emotion engine recognizes the user's emotions from their facial expressions and voice, and adjusts how the family tree is displayed based on the results. The device dynamically changes the interface according to the user's emotions, such as displaying more detailed information about ancestors they are interested in, or reducing the amount of information to lessen the user's burden.

[0127] Furthermore, the agent uses an emotion engine to provide a more personalized interaction experience with users. For example, if it determines that a user is excited, it will delve deeper into relevant historical events or cultural backgrounds, providing data that further stimulates their interest.

[0128] For example, when a user researches a samurai from the Sengoku period in their ancestry, if the emotion engine detects the user's excitement, the server will provide more in-depth information about the battles their ancestor participated in and the culture of the time. Furthermore, if the user expresses surprise, the server will highlight and present particularly shocking episodes within the family tree. In this way, the present invention optimizes information by taking user emotions into account, enabling a richer experience.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] The user enters their basic information into the device. For example, they enter their name, date of birth, family structure, etc., providing the basic data for generating a family tree.

[0132] Step 2:

[0133] The terminal sends the user's input information to the server and requests that it search for ancestral information. This information transmission is the starting point for the next analysis process.

[0134] Step 3:

[0135] The server accesses historical record databases based on the information it receives and collects data related to the user's ancestors. This data often includes past family register information and official records.

[0136] Step 4:

[0137] The server analyzes ancestral information obtained using an AI agent. Here, it performs processes such as data integrity checks and duplicate removal to extract accurate family history information.

[0138] Step 5:

[0139] The server automatically generates a family tree based on the analyzed information. In this process, it organizes the relationships between ancestors and constructs them in a visually easy-to-understand format.

[0140] Step 6:

[0141] The device displays the generated family tree to the user, allowing them to intuitively understand their ancestral information.

[0142] Step 7:

[0143] The server supplements information by referencing digital archives and deciphering ancient documents as needed, thereby improving the accuracy of the information contained in the family tree.

[0144] Step 8:

[0145] The emotion engine receives facial and voice data from the user's device and analyzes their emotional state.

[0146] Step 9:

[0147] The device dynamically adjusts the content and display method of the family tree based on the analysis results of the emotion engine. For example, if the user is excited, it will display additional detailed information.

[0148] Step 10:

[0149] The agent provides an interactive dialogue experience that responds to the user's emotions. By selecting interesting topics and exploring them in depth, it maintains and expands the user's interest.

[0150] (Example 2)

[0151] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0152] In systems that generate family trees, there is a challenge in dynamically presenting information based on the user's emotional changes. Furthermore, conventional technologies generate family trees based solely on information obtained from databases, failing to utilize additional information such as historical documents, potentially resulting in incomplete information. In addition, there is a lack of technology to enhance the interactive experience by providing social context and cultural background of the genealogy.

[0153] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0154] In this invention, the server includes means for analyzing the user's facial expressions and voice to recognize emotions, means for dynamically changing the information presentation method according to the user's emotions, and means for utilizing digital information sources and deciphering historical documents to supplement the information. This enables dynamic information presentation tailored to the user's emotions, and further enables the provision of more complete and detailed information about family trees through the analysis of historical documents. In addition, it is possible to improve the conversational experience by providing information on the social background and culture of the genealogy.

[0155] A "user" is the entity that operates the system, inputs information, and receives it.

[0156] "Received information" refers to basic genealogical data provided by the user to the system.

[0157] An "information record database" is a database used to store and manage historical information and genealogical data.

[0158] "Genealogical information" refers to data about the user's ancestors and family history.

[0159] A "family structure chart" is a diagram that is automatically generated based on genealogical information and visually shows the relationships between the user's family and relatives.

[0160] "Analyzing facial expressions and voice" refers to the process of recognizing and analyzing a user's facial expressions and voice in order to understand their emotions.

[0161] "Recognizing emotions" means identifying a user's emotional state from their facial expressions and voice data.

[0162] "Dynamically changing the way information is presented" means adjusting the content and format of the displayed information in real time according to the user's emotional state.

[0163] "Digital information sources" refer to various types of information, materials, and archives stored in digital format.

[0164] "Deciphering historical documents" is the process of analyzing past documents and records to extract and understand the data necessary for genealogical information.

[0165] "To supplement information" refers to adding newly acquired information to existing information to make the information more complete.

[0166] "Social background and culture" refers to events and cultural factors in that era and society, related to the history of the lineage.

[0167] "Enhancing the interactive experience" means improving communication between the user and the system, and providing a richer, more personalized experience.

[0168] This invention is a system that allows users to analyze genealogical information and generate and visually present a family structure diagram. The main components of the system include a server, a terminal, and an emotion engine that recognizes emotions.

[0169] The server first processes the basic genealogical information received from the user via their device. Here, the device refers to a personal computer or smartphone, and the HTTPS protocol is used over the internet to send information to the server. The server accesses the information record database and retrieves the relevant genealogical information.

[0170] Next, when the server retrieves information from digital sources, particularly historical record databases, it uses machine learning algorithms to decipher older documentary materials and supplement genealogical information. This allows the server to generate a more accurate family tree based on the user's submitted genealogical data. The generated digital family tree is then sent to the user's device.

[0171] The device visually displays the received family structure chart using HTML5 and JavaScript® user interface libraries. This process also utilizes interactive viewer functions to allow users to intuitively grasp the information.

[0172] Furthermore, the emotion engine acquires the user's facial expressions and voice data through the webcam and microphone to recognize their emotions. Based on these results, the device dynamically adjusts how the family tree is displayed. For example, if the user is excited, it will highlight and display highly relevant historical background and event information.

[0173] As a concrete example, suppose a user becomes interested in their family history and sends a prompt message to the server from their device saying, "Please tell me more about the events of the Sengoku period in which my ancestors were involved." In this case, the emotion engine can detect the user's interest, and the server can present detailed historical information and cultural background related to the Sengoku period, along with a family tree.

[0174] This system leverages generative AI models to provide a more personalized user experience, thereby enriching the understanding of genealogical information.

[0175] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0176] Step 1:

[0177] The user enters basic genealogical data using a terminal. This data includes their own name, family names, date of birth, and place of origin. The terminal temporarily stores this information and prepares it for transmission to the server. The entered data is converted to JSON format.

[0178] Step 2:

[0179] The terminal sends the genealogy information received from the user to the server. This process uses the HTTPS protocol to ensure the security of the information. The information received by the server is incorporated into the system as structured data, ready to proceed to the next processing step.

[0180] Step 3:

[0181] The server accesses the information record database based on the received genealogy information. Here, it executes SQL queries to search for genealogy information that matches the information provided by the user. The retrieved information is stored in internal memory for further data analysis processing.

[0182] Step 4:

[0183] The server retrieves additional information from digital sources and deciphers older documentary materials. Using machine learning algorithms and OCR technology, it analyzes historical documents and supplements missing genealogical information. This process makes the retrieved genealogical information more complete.

[0184] Step 5:

[0185] The server automatically generates a family tree based on sufficient data. Here, a data merging algorithm is used to organize and integrate the information. The generated digital family tree is then transmitted to the terminal.

[0186] Step 6:

[0187] The terminal displays a family tree received from the server using a user interface library. HTML5 and JavaScript are used to visualize the tree with an intuitive and interactive viewer. Users can then verify their family lineage through the visualized information.

[0188] Step 7:

[0189] The device acquires the user's facial expressions and voice data through the webcam and microphone. An emotion engine analyzes this data to recognize the user's emotional state. For example, a facial recognition algorithm identifies emotional patterns from the user's face.

[0190] Step 8:

[0191] The device dynamically changes how the family tree is presented based on the emotion recognition results. Specifically, for users in an agitated state, it highlights and displays rich information about the genealogy and related historical episodes. This personalizes the user experience.

[0192] (Application Example 2)

[0193] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0194] Conventional genealogy generation systems only provide users with static information and lack dynamic interaction that responds to user emotions. This makes it difficult to provide a personalized experience and results in insufficient engagement. Furthermore, existing information presentation methods cannot selectively display detailed information, making it difficult to enable users to gain a deeper understanding of content tailored to their interests and emotions.

[0195] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0196] This invention includes a server that accesses an information record database based on information received from the user and obtains ancestral information; a server that analyzes the obtained ancestral information and automatically generates a family tree; a server that visually presents the generated family tree to the user; a server that uses an emotion analysis device to recognize the user's emotions and adjust the display of the family tree; and a server that provides detailed information according to the user's emotions. This makes it possible to dynamically change the display according to the user's emotions and provide a more attractive and personalized family tree experience.

[0197] An "information record database" is a system that stores past data and records and allows users to search for and retrieve specific information based on their input.

[0198] "Ancestral information" refers to data about the user's ancestors, including family lineage and historical background.

[0199] A "family tree" is a diagram that shows the lineage of a family or clan, visually representing the connections between individual families and blood relationships from ancestors.

[0200] An "emotion analysis device" is a technology that recognizes a user's voice and facial expressions to detect the emotions the user is currently feeling.

[0201] "Detailed information" refers to additional data that includes deeper information about a specific event or person, in addition to basic information.

[0202] The embodiments for carrying out the invention will be described. The system for realizing this application mainly consists of three elements: a server, a terminal, and a user.

[0203] First, the server accesses an information record database based on the personal information received from the user to retrieve ancestral information. This database stores historical records and documents, and can automatically search for relevant genealogical information based on the user's basic information. Furthermore, technologies are available to decipher historical documents and supplement data using digital information resources. This enables the generation of accurate and comprehensive genealogical information.

[0204] Next, the terminal plays the role of visually presenting the information transmitted from the server to the user. It provides an easily understandable family tree through screen displays and audio output. It also incorporates an emotion analyzer, identifying emotions from the user's facial expressions and voice tone. Based on this information, it adjusts the displayed data and emphasizes detailed information tailored to the user's interests. This results in a highly personalized user experience.

[0205] Regarding emotion analysis, as a concrete example, if a user expresses surprise upon obtaining information about their ancestors, the device can sense this emotion and highlight particularly interesting episodes within the family tree. If the device detects user excitement, it can also present more in-depth information about the relevant historical background and individuals. Through this process, the user's family tree experience becomes richer and more interactive.

[0206] There are also situations where generative AI models are utilized, and an example of a prompt message is, "I would like to know about my ancestors; please display a family tree that takes emotions into consideration." By entering such prompts into the device, users can begin obtaining more personalized information.

[0207] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0208] Step 1:

[0209] The user enters personal information into the device. The device sends this information to the server as "user data." This information includes the user's name and basic family data. The server receives this data and prepares to proceed to the next step.

[0210] Step 2:

[0211] The server accesses the information record database based on the received user data and searches for relevant ancestral information. Using a database search algorithm, it identifies past records that match the user data and extracts them as "ancestral information." This collects historical family information related to the user.

[0212] Step 3:

[0213] The server analyzes the acquired ancestral information and automatically generates a family tree. Using data processing software, the ancestral information is systematically organized and converted into a visually representable format. This family tree is defined as the "generated family tree" and is ready to be presented to the user in the next step.

[0214] Step 4:

[0215] The family tree generated from the server is sent to the terminal, which then visually presents it to the user. The family tree is displayed on the screen, making it easy for the user to access information about specific ancestors. The user can navigate this family tree and find information that interests them.

[0216] Step 5:

[0217] An emotion analysis device built into the terminal detects the user's emotions. The emotion analysis engine analyzes the user's emotions from their facial expressions and voice. Based on these results, it prepares to adjust the display content and method of the received family tree.

[0218] Step 6:

[0219] The device dynamically adjusts the display of the family tree generated in response to the user's emotions. It is highly sensitive to emotions, displaying or highlighting areas of interest to the user. This interaction presents data that is more meaningful to the user.

[0220] Step 7:

[0221] When a user enters additional information or prompts through the device, the device requests further detailed information from the server accordingly. By utilizing a generative AI model, it becomes possible to obtain even more personalized information based on the user's requests.

[0222] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0223] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0224] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0225] [Second Embodiment]

[0226] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0227] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0228] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0229] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0230] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0231] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0232] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0233] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0234] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0235] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0236] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0237] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0238] This invention is a system that allows users to easily grasp their ancestral information and understand the overall picture of their family lineage. The following are embodiments of this invention.

[0239] When a user enters basic information via a terminal, the system uses that information to access a historical record database on a server. The server searches for records related to the user's input and analyzes the collected data with an AI agent. This analysis extracts ancestral information in the user's family lineage, and any duplicates or inconsistencies are corrected.

[0240] Next, the agent automatically generates a family tree based on this data. The generated family tree is constructed in a visually easy-to-understand format, clearly showing its structure and the relationships between the pieces of information, and is displayed on the terminal. Through this family tree, users can verify details of their own lineage and ancestors. The server also accesses digital archives as needed, automatically deciphering ancient documents to supplement the information in the family tree.

[0241] Furthermore, the agent provides users with an interactive dialogue experience. Through conversations with the agent, users can learn in depth about the historical background and culture of their ancestors' lives. For example, they can obtain information such as the role a particular ancestor played in a specific era and the region where they lived. This dialogue is conducted using voice and text, and also has value as a history education tool.

[0242] As a concrete example, if a user wants to research their ancestors, they first input information into the terminal, and through the process of automatically generating a family tree, they can discover the existence of ancestors who were active during the Sengoku period (Warring States period). At that time, the server deciphers ancient documents and supplements and presents details about the ancestor's military history and social status at the time. In this way, the present invention deepens the user's knowledge about their ancestors and provides useful information for the individual and their family.

[0243] The following describes the processing flow.

[0244] Step 1:

[0245] The user enters their basic information, such as their name, date of birth, and family structure, into the terminal.

[0246] Step 2:

[0247] The terminal sends the entered information to the server and then makes a request to retrieve ancestral information based on that information.

[0248] Step 3:

[0249] The server accesses the historical records database based on the received user information and searches for relevant ancestral information. This process filters the vast amount of records in the database to determine which data is most relevant.

[0250] Step 4:

[0251] The server uses an AI agent to analyze the acquired ancestral information. During the analysis process, it scrutinizes duplicate and contradictory data to clarify the fundamental data of the family tree.

[0252] Step 5:

[0253] The agent automatically generates a family tree based on the analysis results. This family tree is visually organized based on the relationships between ancestors and their chronological order.

[0254] Step 6:

[0255] The server accesses digital archives and deciphers ancient documents as needed. This deciphering complements the historical context missing from the genealogical information.

[0256] Step 7:

[0257] The device displays the generated family tree to the user. This display includes detailed information and historical background content for each ancestor.

[0258] Step 8:

[0259] Users can initiate a conversation with an agent and gain further knowledge about their ancestors. The agent interactively answers questions and provides background information and cultural anecdotes.

[0260] (Example 1)

[0261] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0262] In modern times, while it is considered extremely important for individuals to understand their own genealogical information, there is the challenge of the significant time and effort required to collect and organize this information. Furthermore, learning about past historical backgrounds and cultural knowledge requires specialized knowledge, making it difficult for the average user to access.

[0263] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0264] In this invention, the server includes means for an information processing device to access a historical database based on basic information obtained from the user and search for genealogical information, means for an analysis device to analyze the genealogical information collected based on the search and automatically construct a family tree, and means for a terminal to visually present the constructed family tree. As a result, the user can efficiently and intuitively understand their own genealogical information and further deepen their knowledge of historical background and cultural context.

[0265] A "user" refers to an individual or group that inputs information for the purpose of exploring or learning about genealogical information.

[0266] An "information processing device" refers to a computer system that uses basic information obtained from users to access historical databases and search for data.

[0267] A "historical database" refers to a collection of data that contains information about people and events from the past.

[0268] "Genealogical information" refers to detailed data related to an individual's family lineage and ancestors.

[0269] An "analytical device" refers to a computer system used to analyze collected genealogical information and organize and extract necessary information.

[0270] A "family tree" refers to a diagrammatic data set that structurally shows an individual's family and ancestral relationships.

[0271] A "terminal" refers to an electronic device used by a user to input information and check the results.

[0272] "Visual presentation" refers to displaying information in a way that is easy for users to understand intuitively.

[0273] "Digitized archival materials" refers to historical documents and records that have been preserved as electronic data.

[0274] "Ancient documents" refer to historical documents of historical value.

[0275] "Interaction" refers to the dialogue between the user and the system through information.

[0276] This invention provides a system for users to quickly and effectively grasp their own genealogical information and to acquire historical background and cultural knowledge. This system is implemented as follows:

[0277] Users input basic information via a dedicated user interface through a terminal. This information includes name, date of birth, and place of birth. The terminal transfers this input information to a server. The server uses an information processing device to access a historical database built on the cloud. This database contains extensive information about historical figures and their lineages.

[0278] The server analyzes the collected data using an analysis device and organizes and extracts genealogical information using an AI agent. The AI ​​agent utilizes natural language processing techniques and machine learning algorithms to efficiently correct information duplication and inconsistencies. Based on the analyzed information, the server automatically generates a family tree. The family tree is constructed as a graph structure and designed to be intuitively displayed using a visualization library.

[0279] The generated family tree is transmitted from the server to the terminal and provided to the user. Through the terminal, the user can view the family tree in detail by zooming or scrolling. Also, the server refers to digitized preservation materials as needed, decodes ancient documents using optical character recognition technology, and complements the genealogy information.

[0280] Furthermore, the user can start an interactive dialogue on the terminal and learn about the historical background and culture of their ancestors through the dialogue with the agent. This dialogue is conducted in voice or text form and has educational value for the user.

[0281] As a specific example, when the user inputs a prompt such as "Please create a family tree based on the information of Ichiro Suzuki born in the Edo period about my ancestors." the system executes each step and provides the user with genealogy information and related historical information. In this way, the user can efficiently grasp their ancestor information and learn the culture behind it.

[0282] The flow of the specific process in Example 1 will be described using FIG. 11.

[0283] Step 1:

[0284] The user uses the terminal to input basic information about their ancestors from a dedicated interface. This information includes name, date of birth, place of birth, etc. These basic information are sent to the server as input data.

[0285] Step 2:

[0286] Based on the basic information received from the terminal, the server accesses the historical database using an information processing device. When accessing the database, related genealogy information is extracted using SQL queries or other search algorithms. The input is the basic information from the user, and the output is the raw data obtained from the database.

[0287] Step 3:

[0288] The server passes the acquired raw data to the AI agent for analysis. The AI agent uses natural language processing technology to organize the data and automatically correct duplicates and contradictions. The input is the raw data from the database, and the output is the organized and analyzed genealogy information.

[0289] Step 4:

[0290] Based on the organized genealogy information, the server automatically generates a family tree. In this process, an algorithm based on graph theory is used to generate a family tree composed of nodes and edges. The input is the analyzed genealogy information, and the output is the digital data of the family tree.

[0291] Step 5:

[0292] The generated family tree is transmitted from the server to the terminal and visually displayed on the terminal. The user can check the details by zooming in and scrolling the family tree. The input is the family tree data from the server, and the output is the graphical family tree displayed to the user.

[0293] Step 6:

[0294] The server accesses the digitized archived materials as needed and analyzes the ancient documents using optical character recognition (OCR). The additional genealogy information obtained from the analysis is integrated into the family tree. The input is the digital data of the archived materials, and the output is the complemented family tree data.

[0295] Step 7:

[0296] The user starts an interactive conversation on the terminal. The AI agent on the server responds in voice or text format and provides historical background and cultural knowledge of ancestors according to the user's questions. The input is the inquiry from the user, and the output is the information as the response from the agent.

[0297] (Application Example 1)

[0298] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0299] Traditional genealogy generation systems have made it difficult for users to deeply understand the stories and historical background of their ancestors. Furthermore, the lack of immersive learning experiences through visual and audio content has resulted in a superficial understanding of the cultural and historical context.

[0300] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0301] This invention includes a server that accesses a historical information database based on information received from a user and obtains ancestral information; a server that analyzes the obtained ancestral information and automatically generates a family tree; and a server that automatically generates stories and historical context related to the ancestral information based on the generated family tree. This allows the user to experience stories related to their ancestors through audio and video, enabling an immersive and deep understanding of history and culture.

[0302] "A means of accessing historical information databases based on information received from users and obtaining ancestral information" refers to a function that uses basic information entered by the user to connect to specialized databases and retrieve relevant historical records and information about ancestors.

[0303] "A means of analyzing acquired ancestral information and automatically generating a family tree" refers to a function that analyzes collected data about ancestors and constructs that lineage as a visually easy-to-understand family tree.

[0304] The means of "automatically generating stories and historical backgrounds related to ancestor information based on the generated family tree" is a function that automatically generates related historical and cultural backgrounds in the form of stories based on the information shown in the family tree.

[0305] The means of "providing the generated stories to the user in audio and video" is a function that presents the generated stories to the user using voice narration and video materials in order to create a more immersive experience.

[0306] To realize this application example, the server receives the basic information input by the user on the terminal, accesses the historical information database constructed inside, and extracts related ancestor information. The server processes this information to generate a family tree. At that time, an artificial intelligence (AI) model is utilized to analyze the collected data and visually construct the family tree.

[0307] Next, based on the generated family tree, the AI model automatically generates stories and historical backgrounds related to the ancestors. In this process, natural language processing technology is used to convert historical facts into vivid story forms. The server utilizes voice synthesis software and video generation software to provide these stories to the user in a more immersive manner. The user can view and experience these contents through the interface of the terminal.

[0308] As a specific example, when the user inquires about a certain ancestor, the user inputs the era in which the ancestor was active. The server generates the story of the ancestor together with the corresponding historical background based on that information and presents it to the user visually and audibly. An example of the prompt sentence used in this process is "Please explain in detail about an ancestor who achieved success as a merchant in the Edo period, along with the social background of that era."

[0309] The main hardware used in this system consists of servers and user terminals, while the software includes a natural language processing platform, a speech synthesis system, and video generation tools. This allows users to gain a deep understanding and knowledge of their ancestors.

[0310] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0311] Step 1:

[0312] The user enters basic information about their ancestors into the terminal. This information includes names, time periods, and geographical locations. This information is used as input data for queries to the database.

[0313] Step 2:

[0314] The server accesses a historical information database based on the received basic information. It searches for ancestral information that matches the input information and extracts it from the database. The extracted information is used as basic data for generating kinship trees and narratives.

[0315] Step 3:

[0316] The server analyzes the acquired ancestral information using an AI model and automatically generates a kinship tree. This process establishes the structure of nodes and links related to the family lineage. The output is a visually represented kinship tree.

[0317] Step 4:

[0318] Based on the generated family tree, the server uses an AI model to automatically generate stories and historical context related to ancestors. Data processing includes converting historical facts into narrative text. The output is a narrative text.

[0319] Step 5:

[0320] The server converts the generated story into audio and video using speech synthesis software and video generation software. In this process, text data is converted into audio files and visual media content.

[0321] Step 6:

[0322] The server then delivers the final generated audio and video content to the device. Through the device, users can view the ancestral stories as audio and video, providing them with a deep learning experience about their ancestors.

[0323] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0324] This invention is a system that efficiently analyzes a user's ancestral information and generates and presents a family tree. By incorporating an emotion engine, this system provides displays and interactions that respond to the user's emotions, thereby improving the user experience.

[0325] When a user enters basic information from their device, the device sends that information to the server. The server accesses a historical record database to collect and analyze relevant ancestral information and automatically generates a family tree. The generated family tree is then visually displayed on the device. This process also includes the server's ability to utilize digital archives and decipher ancient documents to supplement the information.

[0326] Furthermore, the emotion engine recognizes the user's emotions from their facial expressions and voice, and adjusts how the family tree is displayed based on the results. The device dynamically changes the interface according to the user's emotions, such as displaying more detailed information about ancestors they are interested in, or reducing the amount of information to lessen the user's burden.

[0327] Furthermore, the agent uses an emotion engine to provide a more personalized interaction experience with users. For example, if it determines that a user is excited, it will delve deeper into relevant historical events or cultural backgrounds, providing data that further stimulates their interest.

[0328] For example, when a user researches a samurai from the Sengoku period in their ancestry, if the emotion engine detects the user's excitement, the server will provide more in-depth information about the battles their ancestor participated in and the culture of the time. Furthermore, if the user expresses surprise, the server will highlight and present particularly shocking episodes within the family tree. In this way, the present invention optimizes information by taking user emotions into account, enabling a richer experience.

[0329] The following describes the processing flow.

[0330] Step 1:

[0331] The user enters their basic information into the device. For example, they enter their name, date of birth, family structure, etc., providing the basic data for generating a family tree.

[0332] Step 2:

[0333] The terminal sends the user's input information to the server and requests that it search for ancestral information. This information transmission is the starting point for the next analysis process.

[0334] Step 3:

[0335] The server accesses historical record databases based on the information it receives and collects data related to the user's ancestors. This data often includes past family register information and official records.

[0336] Step 4:

[0337] The server analyzes ancestral information obtained using an AI agent. Here, it performs processes such as data integrity checks and duplicate removal to extract accurate family history information.

[0338] Step 5:

[0339] The server automatically generates a family tree based on the analyzed information. In this process, it organizes the relationships between ancestors and constructs them in a visually easy-to-understand format.

[0340] Step 6:

[0341] The device displays the generated family tree to the user, allowing them to intuitively understand their ancestral information.

[0342] Step 7:

[0343] The server supplements information by referencing digital archives and deciphering ancient documents as needed, thereby improving the accuracy of the information contained in the family tree.

[0344] Step 8:

[0345] The emotion engine receives facial and voice data from the user's device and analyzes their emotional state.

[0346] Step 9:

[0347] The device dynamically adjusts the content and display method of the family tree based on the analysis results of the emotion engine. For example, if the user is excited, it will display additional detailed information.

[0348] Step 10:

[0349] The agent provides an interactive dialogue experience that responds to the user's emotions. By selecting interesting topics and exploring them in depth, it maintains and expands the user's interest.

[0350] (Example 2)

[0351] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0352] In systems that generate family trees, there is a challenge in dynamically presenting information based on the user's emotional changes. Furthermore, conventional technologies generate family trees based solely on information obtained from databases, failing to utilize additional information such as historical documents, potentially resulting in incomplete information. In addition, there is a lack of technology to enhance the interactive experience by providing social context and cultural background of the genealogy.

[0353] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0354] In this invention, the server includes means for analyzing the user's facial expressions and voice to recognize emotions, means for dynamically changing the information presentation method according to the user's emotions, and means for utilizing digital information sources and deciphering historical documents to supplement the information. This enables dynamic information presentation tailored to the user's emotions, and further enables the provision of more complete and detailed information about family trees through the analysis of historical documents. In addition, it is possible to improve the conversational experience by providing information on the social background and culture of the genealogy.

[0355] A "user" is the entity that operates the system, inputs information, and receives it.

[0356] "Received information" refers to basic genealogical data provided by the user to the system.

[0357] An "information record database" is a database used to store and manage historical information and genealogical data.

[0358] "Genealogical information" refers to data about the user's ancestors and family history.

[0359] A "family structure chart" is a diagram that is automatically generated based on genealogical information and visually shows the relationships between the user's family and relatives.

[0360] "Analyzing facial expressions and voice" refers to the process of recognizing and analyzing a user's facial expressions and voice in order to understand their emotions.

[0361] "Recognizing emotions" means identifying a user's emotional state from their facial expressions and voice data.

[0362] "Dynamically changing the way information is presented" means adjusting the content and format of the displayed information in real time according to the user's emotional state.

[0363] "Digital information sources" refer to various types of information, materials, and archives stored in digital format.

[0364] "Deciphering historical documents" is the process of analyzing past documents and records to extract and understand the data necessary for genealogical information.

[0365] "To supplement information" refers to adding newly acquired information to existing information to make the information more complete.

[0366] "Social background and culture" refers to events and cultural factors in that era and society, related to the history of the lineage.

[0367] "Enhancing the interactive experience" means improving communication between the user and the system, and providing a richer, more personalized experience.

[0368] This invention is a system that allows users to analyze genealogical information and generate and visually present a family structure diagram. The main components of the system include a server, a terminal, and an emotion engine that recognizes emotions.

[0369] The server first processes the basic genealogical information received from the user via their device. Here, the device refers to a personal computer or smartphone, and the HTTPS protocol is used over the internet to send information to the server. The server accesses the information record database and retrieves the relevant genealogical information.

[0370] Next, when the server retrieves information from digital sources, particularly historical record databases, it uses machine learning algorithms to decipher older documentary materials and supplement genealogical information. This allows the server to generate a more accurate family tree based on the user's submitted genealogical data. The generated digital family tree is then sent to the user's device.

[0371] The device visually displays the received family structure chart using HTML5 and JavaScript user interface libraries. This process also utilizes interactive viewer functions to allow users to intuitively grasp the information.

[0372] Furthermore, the emotion engine acquires the user's facial expressions and voice data through the webcam and microphone to recognize their emotions. Based on these results, the device dynamically adjusts how the family tree is displayed. For example, if the user is excited, it will highlight and display highly relevant historical background and event information.

[0373] As a concrete example, suppose a user becomes interested in their family history and sends a prompt message to the server from their device saying, "Please tell me more about the events of the Sengoku period in which my ancestors were involved." In this case, the emotion engine can detect the user's interest, and the server can present detailed historical information and cultural background related to the Sengoku period, along with a family tree.

[0374] This system leverages generative AI models to provide a more personalized user experience, thereby enriching the understanding of genealogical information.

[0375] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0376] Step 1:

[0377] The user enters basic genealogical data using a terminal. This data includes their own name, family names, date of birth, and place of origin. The terminal temporarily stores this information and prepares it for transmission to the server. The entered data is converted to JSON format.

[0378] Step 2:

[0379] The terminal sends the genealogy information received from the user to the server. This process uses the HTTPS protocol to ensure the security of the information. The information received by the server is incorporated into the system as structured data, ready to proceed to the next processing step.

[0380] Step 3:

[0381] The server accesses the information record database based on the received genealogy information. Here, it executes SQL queries to search for genealogy information that matches the information provided by the user. The retrieved information is stored in internal memory for further data analysis processing.

[0382] Step 4:

[0383] The server retrieves additional information from digital sources and deciphers older documentary materials. Using machine learning algorithms and OCR technology, it analyzes historical documents and supplements missing genealogical information. This process makes the retrieved genealogical information more complete.

[0384] Step 5:

[0385] The server automatically generates a family tree based on sufficient data. Here, a data merging algorithm is used to organize and integrate the information. The generated digital family tree is then transmitted to the terminal.

[0386] Step 6:

[0387] The terminal displays a family tree received from the server using a user interface library. HTML5 and JavaScript are used to visualize the tree with an intuitive and interactive viewer. Users can then verify their family lineage through the visualized information.

[0388] Step 7:

[0389] The device acquires the user's facial expressions and voice data through the webcam and microphone. An emotion engine analyzes this data to recognize the user's emotional state. For example, a facial recognition algorithm identifies emotional patterns from the user's face.

[0390] Step 8:

[0391] The device dynamically changes how the family tree is presented based on the emotion recognition results. Specifically, for users in an agitated state, it highlights and displays rich information about the genealogy and related historical episodes. This personalizes the user experience.

[0392] (Application Example 2)

[0393] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0394] Conventional genealogy generation systems only provide users with static information and lack dynamic interaction that responds to user emotions. This makes it difficult to provide a personalized experience and results in insufficient engagement. Furthermore, existing information presentation methods cannot selectively display detailed information, making it difficult to enable users to gain a deeper understanding of content tailored to their interests and emotions.

[0395] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0396] This invention includes a server that accesses an information record database based on information received from the user and obtains ancestral information; a server that analyzes the obtained ancestral information and automatically generates a family tree; a server that visually presents the generated family tree to the user; a server that uses an emotion analysis device to recognize the user's emotions and adjust the display of the family tree; and a server that provides detailed information according to the user's emotions. This makes it possible to dynamically change the display according to the user's emotions and provide a more attractive and personalized family tree experience.

[0397] An "information record database" is a system that stores past data and records and allows users to search for and retrieve specific information based on their input.

[0398] "Ancestral information" refers to data about the user's ancestors, including family lineage and historical background.

[0399] A "family tree" is a diagram that shows the lineage of a family or clan, visually representing the connections between individual families and blood relationships from ancestors.

[0400] An "emotion analysis device" is a technology that recognizes a user's voice and facial expressions to detect the emotions the user is currently feeling.

[0401] "Detailed information" refers to additional data that includes deeper information about a specific event or person, in addition to basic information.

[0402] The embodiments for carrying out the invention will be described. The system for realizing this application mainly consists of three elements: a server, a terminal, and a user.

[0403] First, the server accesses an information record database based on the personal information received from the user to retrieve ancestral information. This database stores historical records and documents, and can automatically search for relevant genealogical information based on the user's basic information. Furthermore, technologies are available to decipher historical documents and supplement data using digital information resources. This enables the generation of accurate and comprehensive genealogical information.

[0404] Next, the terminal plays the role of visually presenting the information transmitted from the server to the user. It provides an easily understandable family tree through screen displays and audio output. It also incorporates an emotion analyzer, identifying emotions from the user's facial expressions and voice tone. Based on this information, it adjusts the displayed data and emphasizes detailed information tailored to the user's interests. This results in a highly personalized user experience.

[0405] Regarding emotion analysis, as a concrete example, if a user expresses surprise upon obtaining information about their ancestors, the device can sense this emotion and highlight particularly interesting episodes within the family tree. If the device detects user excitement, it can also present more in-depth information about the relevant historical background and individuals. Through this process, the user's family tree experience becomes richer and more interactive.

[0406] There are also situations where generative AI models are utilized, and an example of a prompt message is, "I would like to know about my ancestors; please display a family tree that takes emotions into consideration." By entering such prompts into the device, users can begin obtaining more personalized information.

[0407] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0408] Step 1:

[0409] The user enters personal information into the device. The device sends this information to the server as "user data." This information includes the user's name and basic family data. The server receives this data and prepares to proceed to the next step.

[0410] Step 2:

[0411] The server accesses the information record database based on the received user data and searches for relevant ancestral information. Using a database search algorithm, it identifies past records that match the user data and extracts them as "ancestral information." This collects historical family information related to the user.

[0412] Step 3:

[0413] The server analyzes the acquired ancestral information and automatically generates a family tree. Using data processing software, the ancestral information is systematically organized and converted into a visually representable format. This family tree is defined as the "generated family tree" and is ready to be presented to the user in the next step.

[0414] Step 4:

[0415] The family tree generated from the server is sent to the terminal, which then visually presents it to the user. The family tree is displayed on the screen, making it easy for the user to access information about specific ancestors. The user can navigate this family tree and find information that interests them.

[0416] Step 5:

[0417] An emotion analysis device built into the terminal detects the user's emotions. The emotion analysis engine analyzes the user's emotions from their facial expressions and voice. Based on these results, it prepares to adjust the display content and method of the received family tree.

[0418] Step 6:

[0419] The device dynamically adjusts the display of the family tree generated in response to the user's emotions. It is highly sensitive to emotions, displaying or highlighting areas of interest to the user. This interaction presents data that is more meaningful to the user.

[0420] Step 7:

[0421] When a user enters additional information or prompts through the device, the device requests further detailed information from the server accordingly. By utilizing a generative AI model, it becomes possible to obtain even more personalized information based on the user's requests.

[0422] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0423] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0424] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0425] [Third Embodiment]

[0426] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0427] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0428] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0429] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0430] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0431] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0432] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0433] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0434] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0435] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0436] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0437] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0438] This invention is a system that allows users to easily grasp their ancestral information and understand the overall picture of their family lineage. The following are embodiments of this invention.

[0439] When a user enters basic information via a terminal, the system uses that information to access a historical record database on a server. The server searches for records related to the user's input and analyzes the collected data with an AI agent. This analysis extracts ancestral information in the user's family lineage, and any duplicates or inconsistencies are corrected.

[0440] Next, the agent automatically generates a family tree based on this data. The generated family tree is constructed in a visually easy-to-understand format, clearly showing its structure and the relationships between the pieces of information, and is displayed on the terminal. Through this family tree, users can verify details of their own lineage and ancestors. The server also accesses digital archives as needed, automatically deciphering ancient documents to supplement the information in the family tree.

[0441] Furthermore, the agent provides users with an interactive dialogue experience. Through conversations with the agent, users can learn in depth about the historical background and culture of their ancestors' lives. For example, they can obtain information such as the role a particular ancestor played in a specific era and the region where they lived. This dialogue is conducted using voice and text, and also has value as a history education tool.

[0442] As a concrete example, if a user wants to research their ancestors, they first input information into the terminal, and through the process of automatically generating a family tree, they can discover the existence of ancestors who were active during the Sengoku period (Warring States period). At that time, the server deciphers ancient documents and supplements and presents details about the ancestor's military history and social status at the time. In this way, the present invention deepens the user's knowledge about their ancestors and provides useful information for the individual and their family.

[0443] The following describes the processing flow.

[0444] Step 1:

[0445] The user enters their basic information, such as their name, date of birth, and family structure, into the terminal.

[0446] Step 2:

[0447] The terminal sends the entered information to the server and then makes a request to retrieve ancestral information based on that information.

[0448] Step 3:

[0449] The server accesses the historical records database based on the received user information and searches for relevant ancestral information. This process filters the vast amount of records in the database to determine which data is most relevant.

[0450] Step 4:

[0451] The server uses an AI agent to analyze the acquired ancestral information. During the analysis process, it scrutinizes duplicate and contradictory data to clarify the fundamental data of the family tree.

[0452] Step 5:

[0453] The agent automatically generates a family tree based on the analysis results. This family tree is visually organized based on the relationships between ancestors and their chronological order.

[0454] Step 6:

[0455] The server accesses digital archives and deciphers ancient documents as needed. This deciphering complements the historical context missing from the genealogical information.

[0456] Step 7:

[0457] The device displays the generated family tree to the user. This display includes detailed information and historical background content for each ancestor.

[0458] Step 8:

[0459] Users can initiate a conversation with an agent and gain further knowledge about their ancestors. The agent interactively answers questions and provides background information and cultural anecdotes.

[0460] (Example 1)

[0461] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0462] In modern times, while it is considered extremely important for individuals to understand their own genealogical information, there is the challenge of the significant time and effort required to collect and organize this information. Furthermore, learning about past historical backgrounds and cultural knowledge requires specialized knowledge, making it difficult for the average user to access.

[0463] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0464] In this invention, the server includes means for an information processing device to access a historical database based on basic information obtained from the user and search for genealogical information, means for an analysis device to analyze the genealogical information collected based on the search and automatically construct a family tree, and means for a terminal to visually present the constructed family tree. As a result, the user can efficiently and intuitively understand their own genealogical information and further deepen their knowledge of historical background and cultural context.

[0465] A "user" refers to an individual or group that inputs information for the purpose of exploring or learning about genealogical information.

[0466] An "information processing device" refers to a computer system that uses basic information obtained from users to access historical databases and search for data.

[0467] A "historical database" refers to a collection of data that contains information about people and events from the past.

[0468] "Genealogical information" refers to detailed data related to an individual's family lineage and ancestors.

[0469] An "analytical device" refers to a computer system used to analyze collected genealogical information and organize and extract necessary information.

[0470] A "family tree" refers to a diagrammatic data set that structurally shows an individual's family and ancestral relationships.

[0471] A "terminal" refers to an electronic device used by a user to input information and check the results.

[0472] "Visual presentation" refers to displaying information in a way that is easy for users to understand intuitively.

[0473] "Digitized archival materials" refers to historical documents and records that have been preserved as electronic data.

[0474] "Ancient documents" refer to historical documents of historical value.

[0475] "Interaction" refers to the dialogue between the user and the system through information.

[0476] This invention provides a system for users to quickly and effectively grasp their own genealogical information and to acquire historical background and cultural knowledge. This system is implemented as follows:

[0477] Users input basic information via a dedicated user interface through a terminal. This information includes name, date of birth, and place of birth. The terminal transfers this input information to a server. The server uses an information processing device to access a historical database built on the cloud. This database contains extensive information about historical figures and their lineages.

[0478] The server analyzes the collected data using an analysis device and organizes and extracts genealogical information using an AI agent. The AI ​​agent utilizes natural language processing techniques and machine learning algorithms to efficiently correct information duplication and inconsistencies. Based on the analyzed information, the server automatically generates a family tree. The family tree is constructed as a graph structure and designed to be intuitively displayed using a visualization library.

[0479] The generated family tree is sent from the server to the terminal and provided to the user. The user can then zoom and scroll through the terminal to examine the family tree in detail. The server also references digitized archives as needed, supplementing the genealogical information by deciphering ancient documents using optical character recognition technology.

[0480] Furthermore, users can initiate interactive conversations on their devices and learn about their ancestors' historical background and culture through dialogue with the agent. These conversations can be conducted in voice or text format and have educational value for the user.

[0481] As a concrete example, when a user enters a prompt such as, "Please create a family tree based on information about Ichiro Suzuki, who was born in the Edo period," the system executes each step and provides the user with genealogical information and related historical information. In this way, users can efficiently understand their ancestral information and learn about the culture behind it.

[0482] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0483] Step 1:

[0484] The user uses a terminal to input basic information about their ancestors through a dedicated interface. This information includes name, date of birth, and place of birth. This basic information is then sent to the server as input data.

[0485] Step 2:

[0486] The server accesses a historical database using an information processing device based on the basic information received from the terminal. During database access, it extracts relevant genealogical information using SQL queries and other search algorithms. The input is basic information from the user, and the output is raw data obtained from the database.

[0487] Step 3:

[0488] The server passes the acquired raw data to an AI agent for analysis. The AI ​​agent uses natural language processing techniques to organize the data and automatically corrects redundancies and inconsistencies. The input is raw data from a database, and the output is organized and analyzed genealogical information.

[0489] Step 4:

[0490] The server automatically generates a pedigree tree based on the organized genealogical information. This process uses a graph theory-based algorithm to generate a pedigree tree composed of nodes and edges. The input is the analyzed genealogical information, and the output is the digital data of the pedigree tree.

[0491] Step 5:

[0492] The generated family tree is sent from the server to the terminal and displayed visually on the terminal. Users can zoom and scroll through the family tree to view details. The input is family tree data from the server, and the output is a graphical family tree displayed to the user.

[0493] Step 6:

[0494] The server accesses digitized archived materials as needed and analyzes ancient documents using optical character recognition (OCR). It then integrates the additional genealogical information obtained from the analysis into the family tree. The input is the digital data of the archived materials, and the output is the supplemented family tree data.

[0495] Step 7:

[0496] The user initiates an interactive dialogue on their device. The AI ​​agent on the server responds in voice or text format, providing historical background and cultural knowledge of the user's ancestors in response to their questions. The input is the user's inquiry, and the output is the information provided by the agent in response.

[0497] (Application Example 1)

[0498] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0499] Traditional genealogy generation systems have made it difficult for users to deeply understand the stories and historical background of their ancestors. Furthermore, the lack of immersive learning experiences through visual and audio content has resulted in a superficial understanding of the cultural and historical context.

[0500] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0501] This invention includes a server that accesses a historical information database based on information received from a user and obtains ancestral information; a server that analyzes the obtained ancestral information and automatically generates a family tree; and a server that automatically generates stories and historical context related to the ancestral information based on the generated family tree. This allows the user to experience stories related to their ancestors through audio and video, enabling an immersive and deep understanding of history and culture.

[0502] "A means of accessing historical information databases based on information received from users and obtaining ancestral information" refers to a function that uses basic information entered by the user to connect to specialized databases and retrieve relevant historical records and information about ancestors.

[0503] "A means of analyzing acquired ancestral information and automatically generating a family tree" refers to a function that analyzes collected data about ancestors and constructs that lineage as a visually easy-to-understand family tree.

[0504] "A means of automatically generating stories and historical context related to ancestral information based on a generated family tree" refers to a function that automatically generates historical and cultural background information in narrative form based on the information shown in the family tree.

[0505] "Means of providing generated stories to users through audio and video" refers to a function that presents generated stories to users using audio narration and video materials to make the experience more immersive.

[0506] To realize this application, the server receives basic information entered by the user on the terminal, accesses a historical information database built internally, and extracts relevant ancestral information. The server processes this information to generate a family tree. In doing so, it utilizes an artificial intelligence (AI) model to analyze the collected data and visually construct the family tree.

[0507] Next, based on the generated family tree, the AI ​​model automatically creates stories and historical context related to the ancestors. This process uses natural language processing techniques to transform historical facts into vivid narratives. The server then uses speech synthesis and video generation software to deliver these stories to the user in a more immersive way. Users can view and experience this content through their device's interface.

[0508] As a concrete example, when a user researches an ancestor, they input the historical period in which that ancestor was active. Based on this information, the server generates a story about the ancestor along with the relevant historical context, and presents it to the user visually and audibly. An example of a prompt used in this process is, "Please tell me in detail about your ancestor who was a successful merchant during the Edo period, along with the social context of that era."

[0509] The main hardware used in this system consists of servers and user terminals, while the software includes a natural language processing platform, a speech synthesis system, and video generation tools. This allows users to gain a deep understanding and knowledge of their ancestors.

[0510] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0511] Step 1:

[0512] The user enters basic information about their ancestors into the terminal. This information includes names, time periods, and geographical locations. This information is used as input data for queries to the database.

[0513] Step 2:

[0514] The server accesses a historical information database based on the received basic information. It searches for ancestral information that matches the input information and extracts it from the database. The extracted information is used as basic data for generating kinship trees and narratives.

[0515] Step 3:

[0516] The server analyzes the acquired ancestral information using an AI model and automatically generates a kinship tree. This process establishes the structure of nodes and links related to the family lineage. The output is a visually represented kinship tree.

[0517] Step 4:

[0518] Based on the generated family tree, the server uses an AI model to automatically generate stories and historical context related to ancestors. Data processing includes converting historical facts into narrative text. The output is a narrative text.

[0519] Step 5:

[0520] The server converts the generated story into audio and video using speech synthesis software and video generation software. In this process, text data is converted into audio files and visual media content.

[0521] Step 6:

[0522] The server then delivers the final generated audio and video content to the device. Through the device, users can view the ancestral stories as audio and video, providing them with a deep learning experience about their ancestors.

[0523] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0524] This invention is a system that efficiently analyzes a user's ancestral information and generates and presents a family tree. By incorporating an emotion engine, this system provides displays and interactions that respond to the user's emotions, thereby improving the user experience.

[0525] When a user enters basic information from their device, the device sends that information to the server. The server accesses a historical record database to collect and analyze relevant ancestral information and automatically generates a family tree. The generated family tree is then visually displayed on the device. This process also includes the server's ability to utilize digital archives and decipher ancient documents to supplement the information.

[0526] Furthermore, the emotion engine recognizes the user's emotions from their facial expressions and voice, and adjusts how the family tree is displayed based on the results. The device dynamically changes the interface according to the user's emotions, such as displaying more detailed information about ancestors they are interested in, or reducing the amount of information to lessen the user's burden.

[0527] Furthermore, the agent uses an emotion engine to provide a more personalized interaction experience with users. For example, if it determines that a user is excited, it will delve deeper into relevant historical events or cultural backgrounds, providing data that further stimulates their interest.

[0528] For example, when a user researches a samurai from the Sengoku period in their ancestry, if the emotion engine detects the user's excitement, the server will provide more in-depth information about the battles their ancestor participated in and the culture of the time. Furthermore, if the user expresses surprise, the server will highlight and present particularly shocking episodes within the family tree. In this way, the present invention optimizes information by taking user emotions into account, enabling a richer experience.

[0529] The following describes the processing flow.

[0530] Step 1:

[0531] The user enters their basic information into the device. For example, they enter their name, date of birth, family structure, etc., providing the basic data for generating a family tree.

[0532] Step 2:

[0533] The terminal sends the user's input information to the server and requests that it search for ancestral information. This information transmission is the starting point for the next analysis process.

[0534] Step 3:

[0535] The server accesses historical record databases based on the information it receives and collects data related to the user's ancestors. This data often includes past family register information and official records.

[0536] Step 4:

[0537] The server analyzes ancestral information obtained using an AI agent. Here, it performs processes such as data integrity checks and duplicate removal to extract accurate family history information.

[0538] Step 5:

[0539] The server automatically generates a family tree based on the analyzed information. In this process, it organizes the relationships between ancestors and constructs them in a visually easy-to-understand format.

[0540] Step 6:

[0541] The device displays the generated family tree to the user, allowing them to intuitively understand their ancestral information.

[0542] Step 7:

[0543] The server supplements information by referencing digital archives and deciphering ancient documents as needed, thereby improving the accuracy of the information contained in the family tree.

[0544] Step 8:

[0545] The emotion engine receives facial and voice data from the user's device and analyzes their emotional state.

[0546] Step 9:

[0547] The device dynamically adjusts the content and display method of the family tree based on the analysis results of the emotion engine. For example, if the user is excited, it will display additional detailed information.

[0548] Step 10:

[0549] The agent provides an interactive dialogue experience that responds to the user's emotions. By selecting interesting topics and exploring them in depth, it maintains and expands the user's interest.

[0550] (Example 2)

[0551] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0552] In systems that generate family trees, there is a challenge in dynamically presenting information based on the user's emotional changes. Furthermore, conventional technologies generate family trees based solely on information obtained from databases, failing to utilize additional information such as historical documents, potentially resulting in incomplete information. In addition, there is a lack of technology to enhance the interactive experience by providing social context and cultural background of the genealogy.

[0553] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0554] In this invention, the server includes means for analyzing the user's facial expressions and voice to recognize emotions, means for dynamically changing the information presentation method according to the user's emotions, and means for utilizing digital information sources and deciphering historical documents to supplement the information. This enables dynamic information presentation tailored to the user's emotions, and further enables the provision of more complete and detailed information about family trees through the analysis of historical documents. In addition, it is possible to improve the conversational experience by providing information on the social background and culture of the genealogy.

[0555] A "user" is the entity that operates the system, inputs information, and receives it.

[0556] "Received information" refers to basic genealogical data provided by the user to the system.

[0557] An "information record database" is a database used to store and manage historical information and genealogical data.

[0558] "Genealogical information" refers to data about the user's ancestors and family history.

[0559] A "family structure chart" is a diagram that is automatically generated based on genealogical information and visually shows the relationships between the user's family and relatives.

[0560] "Analyzing facial expressions and voice" refers to the process of recognizing and analyzing a user's facial expressions and voice in order to understand their emotions.

[0561] "Recognizing emotions" means identifying a user's emotional state from their facial expressions and voice data.

[0562] "Dynamically changing the way information is presented" means adjusting the content and format of the displayed information in real time according to the user's emotional state.

[0563] "Digital information sources" refer to various types of information, materials, and archives stored in digital format.

[0564] "Deciphering historical documents" is the process of analyzing past documents and records to extract and understand the data necessary for genealogical information.

[0565] "To supplement information" refers to adding newly acquired information to existing information to make the information more complete.

[0566] "Social background and culture" refers to events and cultural factors in that era and society, related to the history of the lineage.

[0567] "Enhancing the interactive experience" means improving communication between the user and the system, and providing a richer, more personalized experience.

[0568] This invention is a system that allows users to analyze genealogical information and generate and visually present a family structure diagram. The main components of the system include a server, a terminal, and an emotion engine that recognizes emotions.

[0569] The server first processes the basic genealogical information received from the user via their device. Here, the device refers to a personal computer or smartphone, and the HTTPS protocol is used over the internet to send information to the server. The server accesses the information record database and retrieves the relevant genealogical information.

[0570] Next, when the server retrieves information from digital sources, particularly historical record databases, it uses machine learning algorithms to decipher older documentary materials and supplement genealogical information. This allows the server to generate a more accurate family tree based on the user's submitted genealogical data. The generated digital family tree is then sent to the user's device.

[0571] The device visually displays the received family structure chart using HTML5 and JavaScript user interface libraries. This process also utilizes interactive viewer functions to allow users to intuitively grasp the information.

[0572] Furthermore, the emotion engine acquires the user's facial expressions and voice data through the webcam and microphone to recognize their emotions. Based on these results, the device dynamically adjusts how the family tree is displayed. For example, if the user is excited, it will highlight and display highly relevant historical background and event information.

[0573] As a concrete example, suppose a user becomes interested in their family history and sends a prompt message to the server from their device saying, "Please tell me more about the events of the Sengoku period in which my ancestors were involved." In this case, the emotion engine can detect the user's interest, and the server can present detailed historical information and cultural background related to the Sengoku period, along with a family tree.

[0574] This system leverages generative AI models to provide a more personalized user experience, thereby enriching the understanding of genealogical information.

[0575] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0576] Step 1:

[0577] The user enters basic genealogical data using a terminal. This data includes their own name, family names, date of birth, and place of origin. The terminal temporarily stores this information and prepares it for transmission to the server. The entered data is converted to JSON format.

[0578] Step 2:

[0579] The terminal sends the genealogy information received from the user to the server. This process uses the HTTPS protocol to ensure the security of the information. The information received by the server is incorporated into the system as structured data, ready to proceed to the next processing step.

[0580] Step 3:

[0581] The server accesses the information record database based on the received genealogy information. Here, it executes SQL queries to search for genealogy information that matches the information provided by the user. The retrieved information is stored in internal memory for further data analysis processing.

[0582] Step 4:

[0583] The server retrieves additional information from digital sources and deciphers older documentary materials. Using machine learning algorithms and OCR technology, it analyzes historical documents and supplements missing genealogical information. This process makes the retrieved genealogical information more complete.

[0584] Step 5:

[0585] The server automatically generates a family tree based on sufficient data. Here, a data merging algorithm is used to organize and integrate the information. The generated digital family tree is then transmitted to the terminal.

[0586] Step 6:

[0587] The terminal displays a family tree received from the server using a user interface library. HTML5 and JavaScript are used to visualize the tree with an intuitive and interactive viewer. Users can then verify their family lineage through the visualized information.

[0588] Step 7:

[0589] The device acquires the user's facial expressions and voice data through the webcam and microphone. An emotion engine analyzes this data to recognize the user's emotional state. For example, a facial recognition algorithm identifies emotional patterns from the user's face.

[0590] Step 8:

[0591] The device dynamically changes how the family tree is presented based on the emotion recognition results. Specifically, for users in an agitated state, it highlights and displays rich information about the genealogy and related historical episodes. This personalizes the user experience.

[0592] (Application Example 2)

[0593] Next, we will explain Application Example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0594] Conventional genealogy generation systems only provide users with static information and lack dynamic interaction that responds to user emotions. This makes it difficult to provide a personalized experience and results in insufficient engagement. Furthermore, existing information presentation methods cannot selectively display detailed information, making it difficult to enable users to gain a deeper understanding of content tailored to their interests and emotions.

[0595] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0596] This invention includes a server that accesses an information record database based on information received from the user and obtains ancestral information; a server that analyzes the obtained ancestral information and automatically generates a family tree; a server that visually presents the generated family tree to the user; a server that uses an emotion analysis device to recognize the user's emotions and adjust the display of the family tree; and a server that provides detailed information according to the user's emotions. This makes it possible to dynamically change the display according to the user's emotions and provide a more attractive and personalized family tree experience.

[0597] An "information record database" is a system that stores past data and records and allows users to search for and retrieve specific information based on their input.

[0598] "Ancestral information" refers to data about the user's ancestors, including family lineage and historical background.

[0599] A "family tree" is a diagram that shows the lineage of a family or clan, visually representing the connections between individual families and blood relationships from ancestors.

[0600] An "emotion analysis device" is a technology that recognizes a user's voice and facial expressions to detect the emotions the user is currently feeling.

[0601] "Detailed information" refers to additional data that includes deeper information about a specific event or person, in addition to basic information.

[0602] The embodiments for carrying out the invention will be described. The system for realizing this application mainly consists of three elements: a server, a terminal, and a user.

[0603] First, the server accesses an information record database based on the personal information received from the user to retrieve ancestral information. This database stores historical records and documents, and can automatically search for relevant genealogical information based on the user's basic information. Furthermore, technologies are available to decipher historical documents and supplement data using digital information resources. This enables the generation of accurate and comprehensive genealogical information.

[0604] Next, the terminal plays the role of visually presenting the information transmitted from the server to the user. It provides an easily understandable family tree through screen displays and audio output. It also incorporates an emotion analyzer, identifying emotions from the user's facial expressions and voice tone. Based on this information, it adjusts the displayed data and emphasizes detailed information tailored to the user's interests. This results in a highly personalized user experience.

[0605] Regarding emotion analysis, as a concrete example, if a user expresses surprise upon obtaining information about their ancestors, the device can sense this emotion and highlight particularly interesting episodes within the family tree. If the device detects user excitement, it can also present more in-depth information about the relevant historical background and individuals. Through this process, the user's family tree experience becomes richer and more interactive.

[0606] There are also situations where generative AI models are utilized, and an example of a prompt message is, "I would like to know about my ancestors; please display a family tree that takes emotions into consideration." By entering such prompts into the device, users can begin obtaining more personalized information.

[0607] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0608] Step 1:

[0609] The user enters personal information into the device. The device sends this information to the server as "user data." This information includes the user's name and basic family data. The server receives this data and prepares to proceed to the next step.

[0610] Step 2:

[0611] The server accesses the information record database based on the received user data and searches for relevant ancestral information. Using a database search algorithm, it identifies past records that match the user data and extracts them as "ancestral information." This collects historical family information related to the user.

[0612] Step 3:

[0613] The server analyzes the acquired ancestral information and automatically generates a family tree. Using data processing software, the ancestral information is systematically organized and converted into a visually representable format. This family tree is defined as the "generated family tree" and is ready to be presented to the user in the next step.

[0614] Step 4:

[0615] The family tree generated from the server is sent to the terminal, which then visually presents it to the user. The family tree is displayed on the screen, making it easy for the user to access information about specific ancestors. The user can navigate this family tree and find information that interests them.

[0616] Step 5:

[0617] An emotion analysis device built into the terminal detects the user's emotions. The emotion analysis engine analyzes the user's emotions from their facial expressions and voice. Based on these results, it prepares to adjust the display content and method of the received family tree.

[0618] Step 6:

[0619] The device dynamically adjusts the display of the family tree generated in response to the user's emotions. It is highly sensitive to emotions, displaying or highlighting areas of interest to the user. This interaction presents data that is more meaningful to the user.

[0620] Step 7:

[0621] When a user enters additional information or prompts through the device, the device requests further detailed information from the server accordingly. By utilizing a generative AI model, it becomes possible to obtain even more personalized information based on the user's requests.

[0622] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0623] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0624] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0625] [Fourth Embodiment]

[0626] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0627] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0628] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0629] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0630] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0631] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0632] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0633] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0634] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0635] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0636] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0637] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0638] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0639] This invention is a system that allows users to easily grasp their ancestral information and understand the overall picture of their family lineage. The following are embodiments of this invention.

[0640] When a user enters basic information via a terminal, the system uses that information to access a historical record database on a server. The server searches for records related to the user's input and analyzes the collected data with an AI agent. This analysis extracts ancestral information in the user's family lineage, and any duplicates or inconsistencies are corrected.

[0641] Next, the agent automatically generates a family tree based on this data. The generated family tree is constructed in a visually easy-to-understand format, clearly showing its structure and the relationships between the pieces of information, and is displayed on the terminal. Through this family tree, users can verify details of their own lineage and ancestors. The server also accesses digital archives as needed, automatically deciphering ancient documents to supplement the information in the family tree.

[0642] Furthermore, the agent provides users with an interactive dialogue experience. Through conversations with the agent, users can learn in depth about the historical background and culture of their ancestors' lives. For example, they can obtain information such as the role a particular ancestor played in a specific era and the region where they lived. This dialogue is conducted using voice and text, and also has value as a history education tool.

[0643] As a concrete example, if a user wants to research their ancestors, they first input information into the terminal, and through the process of automatically generating a family tree, they can discover the existence of ancestors who were active during the Sengoku period (Warring States period). At that time, the server deciphers ancient documents and supplements and presents details about the ancestor's military history and social status at the time. In this way, the present invention deepens the user's knowledge about their ancestors and provides useful information for the individual and their family.

[0644] The following describes the processing flow.

[0645] Step 1:

[0646] The user enters their basic information, such as their name, date of birth, and family structure, into the terminal.

[0647] Step 2:

[0648] The terminal sends the entered information to the server and then makes a request to retrieve ancestral information based on that information.

[0649] Step 3:

[0650] The server accesses the historical records database based on the received user information and searches for relevant ancestral information. This process filters the vast amount of records in the database to determine which data is most relevant.

[0651] Step 4:

[0652] The server uses an AI agent to analyze the acquired ancestral information. During the analysis process, it scrutinizes duplicate and contradictory data to clarify the fundamental data of the family tree.

[0653] Step 5:

[0654] The agent automatically generates a family tree based on the analysis results. This family tree is visually organized based on the relationships between ancestors and their chronological order.

[0655] Step 6:

[0656] The server accesses digital archives and deciphers ancient documents as needed. This deciphering complements the historical context missing from the genealogical information.

[0657] Step 7:

[0658] The device displays the generated family tree to the user. This display includes detailed information and historical background content for each ancestor.

[0659] Step 8:

[0660] Users can initiate a conversation with an agent and gain further knowledge about their ancestors. The agent interactively answers questions and provides background information and cultural anecdotes.

[0661] (Example 1)

[0662] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0663] In modern times, while it is considered extremely important for individuals to understand their own genealogical information, there is the challenge of the significant time and effort required to collect and organize this information. Furthermore, learning about past historical backgrounds and cultural knowledge requires specialized knowledge, making it difficult for the average user to access.

[0664] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0665] In this invention, the server includes means for an information processing device to access a historical database based on basic information obtained from the user and search for genealogical information, means for an analysis device to analyze the genealogical information collected based on the search and automatically construct a family tree, and means for a terminal to visually present the constructed family tree. As a result, the user can efficiently and intuitively understand their own genealogical information and further deepen their knowledge of historical background and cultural context.

[0666] A "user" refers to an individual or group that inputs information for the purpose of exploring or learning about genealogical information.

[0667] An "information processing device" refers to a computer system that uses basic information obtained from users to access historical databases and search for data.

[0668] A "historical database" refers to a collection of data that contains information about people and events from the past.

[0669] "Genealogical information" refers to detailed data related to an individual's family lineage and ancestors.

[0670] An "analytical device" refers to a computer system used to analyze collected genealogical information and organize and extract necessary information.

[0671] A "family tree" refers to a diagrammatic data set that structurally shows an individual's family and ancestral relationships.

[0672] A "terminal" refers to an electronic device used by a user to input information and check the results.

[0673] "Visual presentation" refers to displaying information in a way that is easy for users to understand intuitively.

[0674] "Digitized archival materials" refers to historical documents and records that have been preserved as electronic data.

[0675] "Ancient documents" refer to historical documents of historical value.

[0676] "Interaction" refers to the dialogue between the user and the system through information.

[0677] This invention provides a system for users to quickly and effectively grasp their own genealogical information and to acquire historical background and cultural knowledge. This system is implemented as follows:

[0678] Users input basic information via a dedicated user interface through a terminal. This information includes name, date of birth, and place of birth. The terminal transfers this input information to a server. The server uses an information processing device to access a historical database built on the cloud. This database contains extensive information about historical figures and their lineages.

[0679] The server analyzes the collected data using an analysis device and organizes and extracts genealogical information using an AI agent. The AI ​​agent utilizes natural language processing techniques and machine learning algorithms to efficiently correct information duplication and inconsistencies. Based on the analyzed information, the server automatically generates a family tree. The family tree is constructed as a graph structure and designed to be intuitively displayed using a visualization library.

[0680] The generated family tree is sent from the server to the terminal and provided to the user. The user can then zoom and scroll through the terminal to examine the family tree in detail. The server also references digitized archives as needed, supplementing the genealogical information by deciphering ancient documents using optical character recognition technology.

[0681] Furthermore, users can initiate interactive conversations on their devices and learn about their ancestors' historical background and culture through dialogue with the agent. These conversations can be conducted in voice or text format and have educational value for the user.

[0682] As a concrete example, when a user enters a prompt such as, "Please create a family tree based on information about Ichiro Suzuki, who was born in the Edo period," the system executes each step and provides the user with genealogical information and related historical information. In this way, users can efficiently understand their ancestral information and learn about the culture behind it.

[0683] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0684] Step 1:

[0685] The user uses a terminal to input basic information about their ancestors through a dedicated interface. This information includes name, date of birth, and place of birth. This basic information is then sent to the server as input data.

[0686] Step 2:

[0687] The server accesses a historical database using an information processing device based on the basic information received from the terminal. During database access, it extracts relevant genealogical information using SQL queries and other search algorithms. The input is basic information from the user, and the output is raw data obtained from the database.

[0688] Step 3:

[0689] The server passes the acquired raw data to an AI agent for analysis. The AI ​​agent uses natural language processing techniques to organize the data and automatically corrects redundancies and inconsistencies. The input is raw data from a database, and the output is organized and analyzed genealogical information.

[0690] Step 4:

[0691] The server automatically generates a pedigree tree based on the organized genealogical information. This process uses a graph theory-based algorithm to generate a pedigree tree composed of nodes and edges. The input is the analyzed genealogical information, and the output is the digital data of the pedigree tree.

[0692] Step 5:

[0693] The generated family tree is sent from the server to the terminal and displayed visually on the terminal. Users can zoom and scroll through the family tree to view details. The input is family tree data from the server, and the output is a graphical family tree displayed to the user.

[0694] Step 6:

[0695] The server accesses digitized archived materials as needed and analyzes ancient documents using optical character recognition (OCR). It then integrates the additional genealogical information obtained from the analysis into the family tree. The input is the digital data of the archived materials, and the output is the supplemented family tree data.

[0696] Step 7:

[0697] The user initiates an interactive dialogue on their device. The AI ​​agent on the server responds in voice or text format, providing historical background and cultural knowledge of the user's ancestors in response to their questions. The input is the user's inquiry, and the output is the information provided by the agent in response.

[0698] (Application Example 1)

[0699] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0700] Traditional genealogy generation systems have made it difficult for users to deeply understand the stories and historical background of their ancestors. Furthermore, the lack of immersive learning experiences through visual and audio content has resulted in a superficial understanding of the cultural and historical context.

[0701] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0702] This invention includes a server that accesses a historical information database based on information received from a user and obtains ancestral information; a server that analyzes the obtained ancestral information and automatically generates a family tree; and a server that automatically generates stories and historical context related to the ancestral information based on the generated family tree. This allows the user to experience stories related to their ancestors through audio and video, enabling an immersive and deep understanding of history and culture.

[0703] "A means of accessing historical information databases based on information received from users and obtaining ancestral information" refers to a function that uses basic information entered by the user to connect to specialized databases and retrieve relevant historical records and information about ancestors.

[0704] "A means of analyzing acquired ancestral information and automatically generating a family tree" refers to a function that analyzes collected data about ancestors and constructs that lineage as a visually easy-to-understand family tree.

[0705] "A means of automatically generating stories and historical context related to ancestral information based on a generated family tree" refers to a function that automatically generates historical and cultural background information in narrative form based on the information shown in the family tree.

[0706] "Means of providing generated stories to users through audio and video" refers to a function that presents generated stories to users using audio narration and video materials to make the experience more immersive.

[0707] To realize this application, the server receives basic information entered by the user on the terminal, accesses a historical information database built internally, and extracts relevant ancestral information. The server processes this information to generate a family tree. In doing so, it utilizes an artificial intelligence (AI) model to analyze the collected data and visually construct the family tree.

[0708] Next, based on the generated family tree, the AI ​​model automatically creates stories and historical context related to the ancestors. This process uses natural language processing techniques to transform historical facts into vivid narratives. The server then uses speech synthesis and video generation software to deliver these stories to the user in a more immersive way. Users can view and experience this content through their device's interface.

[0709] As a concrete example, when a user researches an ancestor, they input the historical period in which that ancestor was active. Based on this information, the server generates a story about the ancestor along with the relevant historical context, and presents it to the user visually and audibly. An example of a prompt used in this process is, "Please tell me in detail about your ancestor who was a successful merchant during the Edo period, along with the social context of that era."

[0710] The main hardware used in this system consists of servers and user terminals, while the software includes a natural language processing platform, a speech synthesis system, and video generation tools. This allows users to gain a deep understanding and knowledge of their ancestors.

[0711] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0712] Step 1:

[0713] The user enters basic information about their ancestors into the terminal. This information includes names, time periods, and geographical locations. This information is used as input data for queries to the database.

[0714] Step 2:

[0715] The server accesses a historical information database based on the received basic information. It searches for ancestral information that matches the input information and extracts it from the database. The extracted information is used as basic data for generating kinship trees and narratives.

[0716] Step 3:

[0717] The server analyzes the acquired ancestral information using an AI model and automatically generates a kinship tree. This process establishes the structure of nodes and links related to the family lineage. The output is a visually represented kinship tree.

[0718] Step 4:

[0719] Based on the generated family tree, the server uses an AI model to automatically generate stories and historical context related to ancestors. Data processing includes converting historical facts into narrative text. The output is a narrative text.

[0720] Step 5:

[0721] The server converts the generated story into audio and video using speech synthesis software and video generation software. In this process, text data is converted into audio files and visual media content.

[0722] Step 6:

[0723] The server then delivers the final generated audio and video content to the device. Through the device, users can view the ancestral stories as audio and video, providing them with a deep learning experience about their ancestors.

[0724] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0725] This invention is a system that efficiently analyzes a user's ancestral information and generates and presents a family tree. By incorporating an emotion engine, this system provides displays and interactions that respond to the user's emotions, thereby improving the user experience.

[0726] When a user enters basic information from their device, the device sends that information to the server. The server accesses a historical record database to collect and analyze relevant ancestral information and automatically generates a family tree. The generated family tree is then visually displayed on the device. This process also includes the server's ability to utilize digital archives and decipher ancient documents to supplement the information.

[0727] Furthermore, the emotion engine recognizes the user's emotions from their facial expressions and voice, and adjusts how the family tree is displayed based on the results. The device dynamically changes the interface according to the user's emotions, such as displaying more detailed information about ancestors they are interested in, or reducing the amount of information to lessen the user's burden.

[0728] Furthermore, the agent uses an emotion engine to provide a more personalized interaction experience with users. For example, if it determines that a user is excited, it will delve deeper into relevant historical events or cultural backgrounds, providing data that further stimulates their interest.

[0729] For example, when a user researches a samurai from the Sengoku period in their ancestry, if the emotion engine detects the user's excitement, the server will provide more in-depth information about the battles their ancestor participated in and the culture of the time. Furthermore, if the user expresses surprise, the server will highlight and present particularly shocking episodes within the family tree. In this way, the present invention optimizes information by taking user emotions into account, enabling a richer experience.

[0730] The following describes the processing flow.

[0731] Step 1:

[0732] The user enters their basic information into the device. For example, they enter their name, date of birth, family structure, etc., providing the basic data for generating a family tree.

[0733] Step 2:

[0734] The terminal sends the user's input information to the server and requests that it search for ancestral information. This information transmission is the starting point for the next analysis process.

[0735] Step 3:

[0736] The server accesses historical record databases based on the information it receives and collects data related to the user's ancestors. This data often includes past family register information and official records.

[0737] Step 4:

[0738] The server analyzes ancestral information obtained using an AI agent. Here, it performs processes such as data integrity checks and duplicate removal to extract accurate family history information.

[0739] Step 5:

[0740] The server automatically generates a family tree based on the analyzed information. In this process, it organizes the relationships between ancestors and constructs them in a visually easy-to-understand format.

[0741] Step 6:

[0742] The device displays the generated family tree to the user, allowing them to intuitively understand their ancestral information.

[0743] Step 7:

[0744] The server supplements information by referencing digital archives and deciphering ancient documents as needed, thereby improving the accuracy of the information contained in the family tree.

[0745] Step 8:

[0746] The emotion engine receives facial and voice data from the user's device and analyzes their emotional state.

[0747] Step 9:

[0748] The device dynamically adjusts the content and display method of the family tree based on the analysis results of the emotion engine. For example, if the user is excited, it will display additional detailed information.

[0749] Step 10:

[0750] The agent provides an interactive dialogue experience that responds to the user's emotions. By selecting interesting topics and exploring them in depth, it maintains and expands the user's interest.

[0751] (Example 2)

[0752] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0753] In systems that generate family trees, there is a challenge in dynamically presenting information based on the user's emotional changes. Furthermore, conventional technologies generate family trees based solely on information obtained from databases, failing to utilize additional information such as historical documents, potentially resulting in incomplete information. In addition, there is a lack of technology to enhance the interactive experience by providing social context and cultural background of the genealogy.

[0754] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0755] In this invention, the server includes means for analyzing the user's facial expressions and voice to recognize emotions, means for dynamically changing the information presentation method according to the user's emotions, and means for utilizing digital information sources and deciphering historical documents to supplement the information. This enables dynamic information presentation tailored to the user's emotions, and further enables the provision of more complete and detailed information about family trees through the analysis of historical documents. In addition, it is possible to improve the conversational experience by providing information on the social background and culture of the genealogy.

[0756] A "user" is the entity that operates the system, inputs information, and receives it.

[0757] "Received information" refers to basic genealogical data provided by the user to the system.

[0758] An "information record database" is a database used to store and manage historical information and genealogical data.

[0759] "Genealogical information" refers to data about the user's ancestors and family history.

[0760] A "family structure chart" is a diagram that is automatically generated based on genealogical information and visually shows the relationships between the user's family and relatives.

[0761] "Analyzing facial expressions and voice" refers to the process of recognizing and analyzing a user's facial expressions and voice in order to understand their emotions.

[0762] "Recognizing emotions" means identifying a user's emotional state from their facial expressions and voice data.

[0763] "Dynamically changing the way information is presented" means adjusting the content and format of the displayed information in real time according to the user's emotional state.

[0764] "Digital information sources" refer to various types of information, materials, and archives stored in digital format.

[0765] "Deciphering historical documents" is the process of analyzing past documents and records to extract and understand the data necessary for genealogical information.

[0766] "To supplement information" refers to adding newly acquired information to existing information to make the information more complete.

[0767] "Social background and culture" refers to events and cultural factors in that era and society, related to the history of the lineage.

[0768] "Enhancing the interactive experience" means improving communication between the user and the system, and providing a richer, more personalized experience.

[0769] This invention is a system that allows users to analyze genealogical information and generate and visually present a family structure diagram. The main components of the system include a server, a terminal, and an emotion engine that recognizes emotions.

[0770] The server first processes the basic genealogical information received from the user via their device. Here, the device refers to a personal computer or smartphone, and the HTTPS protocol is used over the internet to send information to the server. The server accesses the information record database and retrieves the relevant genealogical information.

[0771] Next, when the server retrieves information from digital sources, particularly historical record databases, it uses machine learning algorithms to decipher older documentary materials and supplement genealogical information. This allows the server to generate a more accurate family tree based on the user's submitted genealogical data. The generated digital family tree is then sent to the user's device.

[0772] The device visually displays the received family structure chart using HTML5 and JavaScript user interface libraries. This process also utilizes interactive viewer functions to allow users to intuitively grasp the information.

[0773] Furthermore, the emotion engine acquires the user's facial expressions and voice data through the webcam and microphone to recognize their emotions. Based on these results, the device dynamically adjusts how the family tree is displayed. For example, if the user is excited, it will highlight and display highly relevant historical background and event information.

[0774] As a concrete example, suppose a user becomes interested in their family history and sends a prompt message to the server from their device saying, "Please tell me more about the events of the Sengoku period in which my ancestors were involved." In this case, the emotion engine can detect the user's interest, and the server can present detailed historical information and cultural background related to the Sengoku period, along with a family tree.

[0775] This system leverages generative AI models to provide a more personalized user experience, thereby enriching the understanding of genealogical information.

[0776] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0777] Step 1:

[0778] The user enters basic genealogical data using a terminal. This data includes their own name, family names, date of birth, and place of origin. The terminal temporarily stores this information and prepares it for transmission to the server. The entered data is converted to JSON format.

[0779] Step 2:

[0780] The terminal sends the genealogy information received from the user to the server. This process uses the HTTPS protocol to ensure the security of the information. The information received by the server is incorporated into the system as structured data, ready to proceed to the next processing step.

[0781] Step 3:

[0782] The server accesses the information record database based on the received genealogy information. Here, it executes SQL queries to search for genealogy information that matches the information provided by the user. The retrieved information is stored in internal memory for further data analysis processing.

[0783] Step 4:

[0784] The server retrieves additional information from digital sources and deciphers older documentary materials. Using machine learning algorithms and OCR technology, it analyzes historical documents and supplements missing genealogical information. This process makes the retrieved genealogical information more complete.

[0785] Step 5:

[0786] The server automatically generates a family tree based on sufficient data. Here, a data merging algorithm is used to organize and integrate the information. The generated digital family tree is then transmitted to the terminal.

[0787] Step 6:

[0788] The terminal displays a family tree received from the server using a user interface library. HTML5 and JavaScript are used to visualize the tree with an intuitive and interactive viewer. Users can then verify their family lineage through the visualized information.

[0789] Step 7:

[0790] The device acquires the user's facial expressions and voice data through the webcam and microphone. An emotion engine analyzes this data to recognize the user's emotional state. For example, a facial recognition algorithm identifies emotional patterns from the user's face.

[0791] Step 8:

[0792] The device dynamically changes how the family tree is presented based on the emotion recognition results. Specifically, for users in an agitated state, it highlights and displays rich information about the genealogy and related historical episodes. This personalizes the user experience.

[0793] (Application Example 2)

[0794] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0795] Conventional genealogy generation systems only provide users with static information and lack dynamic interaction that responds to user emotions. This makes it difficult to provide a personalized experience and results in insufficient engagement. Furthermore, existing information presentation methods cannot selectively display detailed information, making it difficult to enable users to gain a deeper understanding of content tailored to their interests and emotions.

[0796] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0797] This invention includes a server that accesses an information record database based on information received from the user and obtains ancestral information; a server that analyzes the obtained ancestral information and automatically generates a family tree; a server that visually presents the generated family tree to the user; a server that uses an emotion analysis device to recognize the user's emotions and adjust the display of the family tree; and a server that provides detailed information according to the user's emotions. This makes it possible to dynamically change the display according to the user's emotions and provide a more attractive and personalized family tree experience.

[0798] An "information record database" is a system that stores past data and records and allows users to search for and retrieve specific information based on their input.

[0799] "Ancestral information" refers to data about the user's ancestors, including family lineage and historical background.

[0800] A "family tree" is a diagram that shows the lineage of a family or clan, visually representing the connections between individual families and blood relationships from ancestors.

[0801] An "emotion analysis device" is a technology that recognizes a user's voice and facial expressions to detect the emotions the user is currently feeling.

[0802] "Detailed information" refers to additional data that includes deeper information about a specific event or person, in addition to basic information.

[0803] The embodiments for carrying out the invention will be described. The system for realizing this application mainly consists of three elements: a server, a terminal, and a user.

[0804] First, the server accesses an information record database based on the personal information received from the user to retrieve ancestral information. This database stores historical records and documents, and can automatically search for relevant genealogical information based on the user's basic information. Furthermore, technologies are available to decipher historical documents and supplement data using digital information resources. This enables the generation of accurate and comprehensive genealogical information.

[0805] Next, the terminal plays the role of visually presenting the information transmitted from the server to the user. It provides an easily understandable family tree through screen displays and audio output. It also incorporates an emotion analyzer, identifying emotions from the user's facial expressions and voice tone. Based on this information, it adjusts the displayed data and emphasizes detailed information tailored to the user's interests. This results in a highly personalized user experience.

[0806] Regarding emotion analysis, as a concrete example, if a user expresses surprise upon obtaining information about their ancestors, the device can sense this emotion and highlight particularly interesting episodes within the family tree. If the device detects user excitement, it can also present more in-depth information about the relevant historical background and individuals. Through this process, the user's family tree experience becomes richer and more interactive.

[0807] There are also situations where generative AI models are utilized, and an example of a prompt message is, "I would like to know about my ancestors; please display a family tree that takes emotions into consideration." By entering such prompts into the device, users can begin obtaining more personalized information.

[0808] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0809] Step 1:

[0810] The user enters personal information into the device. The device sends this information to the server as "user data." This information includes the user's name and basic family data. The server receives this data and prepares to proceed to the next step.

[0811] Step 2:

[0812] The server accesses the information record database based on the received user data and searches for relevant ancestral information. Using a database search algorithm, it identifies past records that match the user data and extracts them as "ancestral information." This collects historical family information related to the user.

[0813] Step 3:

[0814] The server analyzes the acquired ancestral information and automatically generates a family tree. Using data processing software, the ancestral information is systematically organized and converted into a visually representable format. This family tree is defined as the "generated family tree" and is ready to be presented to the user in the next step.

[0815] Step 4:

[0816] The family tree generated from the server is sent to the terminal, which then visually presents it to the user. The family tree is displayed on the screen, making it easy for the user to access information about specific ancestors. The user can navigate this family tree and find information that interests them.

[0817] Step 5:

[0818] An emotion analysis device built into the terminal detects the user's emotions. The emotion analysis engine analyzes the user's emotions from their facial expressions and voice. Based on these results, it prepares to adjust the display content and method of the received family tree.

[0819] Step 6:

[0820] The device dynamically adjusts the display of the family tree generated in response to the user's emotions. It is highly sensitive to emotions, displaying or highlighting areas of interest to the user. This interaction presents data that is more meaningful to the user.

[0821] Step 7:

[0822] When a user enters additional information or prompts through the device, the device requests further detailed information from the server accordingly. By utilizing a generative AI model, it becomes possible to obtain even more personalized information based on the user's requests.

[0823] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0824] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0825] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0826] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0827] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0828] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0829] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0830] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0831] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0832] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0833] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0834] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0835] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0836] 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.

[0837] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0838] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0839] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0840] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0841] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0842] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0843] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0844] The following is further disclosed regarding the embodiments described above.

[0845] (Claim 1)

[0846] A means of accessing a historical record database based on information received from the user and obtaining ancestral information,

[0847] A method for analyzing acquired ancestral information and automatically generating a family tree,

[0848] A means of visually presenting the generated family tree to the user,

[0849] A system that includes this.

[0850] (Claim 2)

[0851] The system according to claim 1, further comprising means for utilizing digital archives to decipher ancient documents and supplement data.

[0852] (Claim 3)

[0853] The system according to claim 1, further comprising means for facilitating an interactive experience that provides the user with the historical background and culture of their ancestors.

[0854] "Example 1"

[0855] (Claim 1)

[0856] Based on basic information obtained from the user, the information processing device accesses a historical database and has a means of searching for genealogical information.

[0857] A means for an analysis device to analyze genealogical information collected based on a search and automatically construct a family tree,

[0858] A means by which the terminal visually presents the constructed family tree,

[0859] A system that includes this.

[0860] (Claim 2)

[0861] The system according to claim 1, further comprising means for utilizing digitized preserved materials and analyzing ancient documents to supplement genealogical information.

[0862] (Claim 3)

[0863] The system according to claim 1, further comprising means for facilitating interaction that provides users with historical background and cultural knowledge related to genealogy.

[0864] "Application Example 1"

[0865] (Claim 1)

[0866] A means of accessing a historical information database based on information received from the user and obtaining ancestral information,

[0867] A method for analyzing acquired ancestral information and automatically generating a family tree,

[0868] A means of automatically generating stories and historical context related to ancestral information based on the generated family tree,

[0869] A means of providing the generated story to the user in audio and video,

[0870] A system that includes this.

[0871] (Claim 2)

[0872] The system according to claim 1, further comprising means for utilizing digital materials to decipher ancient documents and supplement the data.

[0873] (Claim 3)

[0874] The system according to claim 1, further comprising means for facilitating an interactive learning experience that provides users with the historical background and culture of their ancestors.

[0875] "Example 2 of combining an emotion engine"

[0876] (Claim 1)

[0877] A means of accessing an information record database based on information received from the user and obtaining genealogical information,

[0878] A means of automatically generating a family structure diagram by analyzing acquired genealogical information,

[0879] A means of visually presenting the generated family structure diagram to the user,

[0880] A means of recognizing emotions by analyzing the user's facial expressions and voice,

[0881] A means of dynamically changing the way information is presented according to the user's emotions,

[0882] A system that includes this.

[0883] (Claim 2)

[0884] The system according to claim 1, further comprising means for utilizing digital information sources and deciphering historical documents to supplement information.

[0885] (Claim 3)

[0886] The system according to claim 1, further comprising means for facilitating a dialogue experience that provides users with the social background and culture of the genealogy.

[0887] "Application example 2 of combining emotional engines"

[0888] (Claim 1)

[0889] A means of accessing an information record database based on information received from the user and retrieving ancestral information,

[0890] A method for analyzing acquired ancestral information and automatically generating a family tree,

[0891] A means of visually presenting the generated family tree to the user,

[0892] A means for recognizing the user's emotions using an emotion analysis device and adjusting the display of the family tree,

[0893] A means of providing detailed information in response to the user's emotions,

[0894] A system that includes this.

[0895] (Claim 2)

[0896] The system according to claim 1, further comprising means for utilizing digital information resources to decipher historical documents and supplement data.

[0897] (Claim 3)

[0898] The system according to claim 1, further comprising means for facilitating an interactive experience that provides the user with the cultural background and historical context of their ancestors. [Explanation of Symbols]

[0899] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of accessing a historical record database based on information received from the user and obtaining ancestral information, A method for analyzing acquired ancestral information and automatically generating a family tree, A means of visually presenting the generated family tree to the user, A system that includes this.

2. The system according to claim 1, further comprising means for utilizing digital archives to decipher ancient documents and supplement the data.

3. The system according to claim 1, further comprising means for facilitating an interactive experience that provides the user with the historical background and culture of their ancestors.

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