system

Abstract

We provide the system. [Solution] Means of receiving personal information from users, A means of searching for relevant data from multiple databases based on the received personal information, A method for analyzing data obtained from a database and automatically generating a family tree, A means for outputting the generated family tree to a visual display device, A means of linking the displayed family tree with related museum exhibits, providing historical background and information about the era, 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 in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] For an individual to efficiently and thoroughly investigate their ancestral information using conventional methods requires a great deal of labor and time and requires specialized knowledge. There is also a problem that manually creating a family tree has limitations in the accuracy of information and it is difficult to fully experience the historical background of the past. As a result, many people have given up on searching for their roots.

Means for Solving the Problems

[0005] This invention provides a system that utilizes AI technology to automatically generate a family tree by searching and analyzing relevant data from multiple databases based on personal information received from the user. This allows users to quickly obtain ancestral information without requiring specialized knowledge. The generated family tree is visually easy to understand, and historical background information based on the family tree is also provided, enabling a deeper understanding of past eras. Furthermore, information can be easily updated and added by collecting and searching for new data based on user feedback.

[0006] A "user" refers to an individual who attempts to use this system to investigate their own ancestral information.

[0007] "Personal information" refers to basic information about oneself that a user provides to the system, such as name, date of birth, parents' names, and place of birth.

[0008] A "database" refers to a collection of information, such as family register data, historical records, and online genealogical databases, that is used to search for information about a user's ancestors.

[0009] "Searching" refers to finding relevant information from a database based on specified criteria.

[0010] "Analyzing" refers to the process of analyzing collected data to identify information related to the user's ancestry and family lineage.

[0011] A "family tree" refers to a diagrammatic, tree-like representation that shows the relationships between a user's ancestors and family members.

[0012] "Automatically generating" refers to creating results using AI technology without manual intervention.

[0013] "Displaying" refers to visually presenting the generated family tree and related information on the user's device.

[0014] "Historical background" refers to cultural and social information regarding the era in which ancestors in a family tree lived.

[0015] "Feedback" refers to additional comments or requests provided based on information and experiences obtained by the user through the use of the system.

[0016] "Natural language processing technology" refers to technology for a computer to understand and analyze human language.

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 a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12]It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Embodiment 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 a 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 a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[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 for users to research their own ancestral information. Based on basic personal information provided by the user, this system collects and analyzes relevant ancestral information and automatically generates a family tree. Specific embodiments are described below.

[0039] First, the user enters basic information about themselves using a terminal. This includes their name, date of birth, parents' names, and place of birth. This information is the starting point for the system and forms the basis for subsequent information collection and analysis.

[0040] Next, the entered information is sent from the terminal to the server. The server connects to multiple databases and searches for relevant data based on the user's input. These databases are diverse, including family registers, historical documents, and online genealogical data.

[0041] The server analyzes the information gathered through searches using AI technology. Natural language processing techniques are employed to identify and structure relevant individuals and family relationships from the acquired literature and data. At this stage, a series of ancestral information is determined based on the information collected by the AI.

[0042] Once the analysis is complete, the server automatically generates a family tree based on the information obtained. The generated family tree is visually represented as a tree structure. This allows the user to understand at a glance how their ancestors are connected.

[0043] The generated family tree is displayed to the user via their device. Here, the user can gain additional historical background and era information about their ancestors. This allows the user not only to learn about their family lineage but also to experience the lifestyle and culture of the era in which their ancestors lived.

[0044] Furthermore, users can provide feedback to the system. For example, they may request more detailed information or ask for additional information about a particular ancestor. This feedback is then transmitted from the terminal back to the server, which then performs new data collection and searches.

[0045] Through this process, users can conduct detailed research on their ancestors and gain a deeper understanding of past historical contexts. This system makes genealogical research simpler and faster, opening the way for more people to explore their roots.

[0046] The following describes the processing flow.

[0047] Step 1:

[0048] The user enters basic information about themselves on the device. This information includes their name, date of birth, parents' names, and place of birth.

[0049] Step 2:

[0050] The terminal sends the entered user information to the server. Here, the terminal transfers the data using a secure communication method.

[0051] Step 3:

[0052] Based on the user information received by the server, it connects to multiple external databases, such as family register databases and historical databases, and searches for relevant information.

[0053] Step 4:

[0054] The server retrieves search results and performs analysis using AI technology. Natural language processing techniques are used to analyze lists and documents from the retrieved data, identifying related names and family relationships.

[0055] Step 5:

[0056] The server automatically generates a family tree based on the analysis results. It reconstructs the obtained information into a tree structure and creates data that visually represents the relationships between each ancestor.

[0057] Step 6:

[0058] The device receives family tree data sent from the server and displays it to the user in a visually clear format. The displayed family tree is visually easy to understand and may include interactive elements.

[0059] Step 7:

[0060] The server provides historical background information related to each ancestor included in the family tree. Users can access this information through their terminals to deepen their understanding of the historical context and lifestyle of that time.

[0061] Step 8:

[0062] Based on the user's experience, feedback requests for additional information are sent from the device to the server. For example, this might be the case if the user wants more detailed information about a particular ancestor.

[0063] Step 9:

[0064] The server receives user feedback, searches for and re-analyzes new data, and updates family trees and background information as needed.

[0065] (Example 1)

[0066] 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."

[0067] There are insufficient means for individuals to easily and quickly research their own ancestral information. Furthermore, the information available often lacks detail regarding the historical context and cultural aspects, making it difficult to deeply understand and experience one's own roots.

[0068] 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.

[0069] In this invention, the server includes a functional means for receiving personal information from a user, a processing means for searching for relevant information from multiple sources based on the received personal information, and a generation means for analyzing the information obtained from the sources to automatically generate a family tree. This makes it possible to efficiently investigate an individual's ancestry and generate a family tree that includes detailed historical background and cultural information.

[0070] "Means of receiving personal information from users" refers to a system for electronically receiving basic information entered by users, such as name, date of birth, parents' names, and place of birth.

[0071] "A processing method for retrieving relevant information from multiple sources based on received personal information" refers to a processing method for retrieving relevant data from various sources, such as family registers, historical documents, and online genealogical data, based on personal information obtained from users.

[0072] "A generation method that automatically generates a family tree by analyzing information obtained from information sources" refers to an automated process that uses AI technology to analyze collected information and structures the results as a family tree.

[0073] "Display means for providing the generated family tree to a display device" refers to a method for outputting the created family tree to a display device such as a terminal so that the user can view it.

[0074] "Optional means of providing historical context and cultural information based on the displayed family tree" refers to an additional function that provides users with additional historical background, lifestyle, and cultural information related to the ancestors shown in the family tree.

[0075] An "interactive interface means" refers to a user interface configuration that allows users to manipulate data such as family trees, obtain detailed information, and send information to a feedback system.

[0076] A "response feedback mechanism" is a process for receiving responses from users, such as requests for additional information or correction requests, and for collecting and searching for further data based on those responses.

[0077] "Analysis methods that utilize natural language processing techniques" refer to technical methods that use natural language processing in the process of analyzing acquired data to identify and structure the relationships between information and people.

[0078] This invention is a system for users to effectively research their own ancestral information and obtain a family tree that includes detailed historical and cultural information. A specific embodiment of the system is configured as follows:

[0079] First, the user enters personal information such as their name, date of birth, parents' names, and place of birth using their device. This basic information serves as the starting point for the system. The device verifies the information entered by the user, checks the format's integrity, and then encrypts the data before sending it to the server.

[0080] The server searches multiple databases based on the personal information it receives. These databases include family register databases, historical document databases, and online genealogy databases. The server collects useful data from these sources, removing duplicates to maintain data consistency.

[0081] Next, the server uses generative AI models and natural language processing techniques to analyze the collected data. This allows it to identify related individuals and family relationships and structure the data. Based on the information obtained, the server automatically generates a tree-structured family tree. The generated family tree is then laid out clearly using a dedicated image generation tool for visualization.

[0082] Finally, the server sends the generated family tree to the terminal and displays it to the user. The family tree is interactive, allowing the user to easily view detailed information about ancestors they are interested in. Information about the historical context and culture is also displayed alongside the family tree, allowing the user to deeply experience the historical context of their ancestors.

[0083] For example, if a user prompts for "I want to investigate my father's family history in detail," the system can search for information tracing back further based on the parents' information and reflect it in the family tree.

[0084] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0085] Step 1:

[0086] The user enters their basic information using the terminal. This information includes their name, date of birth, parents' names, and place of birth. The terminal receives this information, checks the format of the entered data, and notifies the user of format errors if necessary.

[0087] Step 2:

[0088] The terminal checks the integrity of the data, and after verification, securely transmits personal information to the server using encryption technology. Input data is transferred using a keyed connection, ensuring security during communication. The server then begins further processing based on this received information.

[0089] Step 3:

[0090] Based on the personal information it receives, the server sends queries to multiple sources to search for relevant ancestral information. These sources include family registers and online genealogy databases. The server efficiently collects data and formats the collected information for batch processing.

[0091] Step 4:

[0092] The server analyzes the collected information using generative AI models and natural language processing techniques. This analysis identifies the relationships and family structures between individuals in the data and reorganizes the data structure based on this information. The output is a structured dataset.

[0093] Step 5:

[0094] Based on the analysis results, the server uses an automated family tree generation tool to create a family tree. The generated family tree is organized into a tree structure for visual clarity. The output is formatted in a way that allows the user to intuitively manipulate it.

[0095] Step 6:

[0096] The server sends the generated family tree to the user's terminal, which then displays it. The user can view the family tree on their terminal and research detailed information about ancestors they are interested in. The user can also access historical and cultural information related to the family tree.

[0097] Step 7:

[0098] The user inputs requests for further information collection through feedback on the device. The device sends this feedback to the server, which collects new information and re-analyzes it. As a result, the family tree is updated and provided to the user.

[0099] (Application Example 1)

[0100] 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."

[0101] The present invention aims to provide a system that enables users to easily obtain individual family tree information and to deeply understand it within a historical context. Conventional family tree generation systems have difficulty linking with historical background and era information, making it difficult to effectively connect individual family tree data with exhibition content. To solve this problem, there is a need for a system that immediately links relevant family tree information with exhibition content when accessed by the user, thereby facilitating a deeper historical understanding.

[0102] 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.

[0103] In this invention, the server includes means for receiving personal information from a user, means for searching for relevant data from multiple databases based on the received information, means for analyzing the data and automatically generating a family tree, means for outputting the generated family tree to a visual display device, and means for linking the displayed family tree with related museum exhibits. This makes it possible for users to obtain their own family tree information using a terminal or smartphone and immediately gain a deeper understanding of history through related experiences.

[0104] A "user" is an individual or organization that uses the system to input personal information.

[0105] "Personal information" refers to basic data about the user, such as name, date of birth, and place of birth.

[0106] A "database" is a collection of information that stores historical data, such as family registers and historical documents.

[0107] "Analysis" is the process of structuring acquired data and extracting meaningful information.

[0108] A "family tree" is a diagram illustrating the relationships between a user's ancestors and relatives.

[0109] A "visual display device" refers to a device that allows users to visually confirm the generated family tree.

[0110] A "museum exhibit" is an informational display that visually presents historical background and culture.

[0111] "Linking" refers to the process of linking information in a family tree with the content of museum exhibits.

[0112] To implement this invention, the user first inputs personal information using a terminal or smartphone. This personal information includes name, date of birth, parents' names, and place of birth. This information is sent to the server as a starting point. The server accesses multiple databases and searches for relevant data based on the received personal information. Databases include family registers, historical documents, and online genealogical data.

[0113] The server uses natural language processing technology in the process of analyzing the acquired data. This allows it to extract relevant individuals and family relationships from the documents contained in the data and structure the information. Based on the analyzed information, the server automatically generates a family tree and outputs it to a visual display device as a tree structure that visualizes the relationships.

[0114] When a user views a family tree generated on a visual display device, the server establishes a link to museum exhibits based on the displayed family tree. This link allows users to effectively understand historical context and era information along with their family tree information. As a result, individual visitors to the museum can view their own family tree and learn more deeply about the culture and history of the era in which their family lived through the exhibits.

[0115] A concrete example is an experience where, upon visiting a museum, a user enters necessary personal information at an input terminal within the museum and is instantly able to view a family tree and related exhibits via a server. An example of a prompt message to the generating AI model would be, "Please provide the information needed to create the family tree: name, date of birth, parent information, etc." This prompt encourages the user to enter the necessary data.

[0116] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0117] Step 1:

[0118] Users enter personal information using a terminal or smartphone. This information includes name, date of birth, parents' names, and place of birth. This information is sent from the user's terminal to the server. Here, the entered personal information is treated as the system's initial data.

[0119] Step 2:

[0120] The server uses the received personal information to query various databases and retrieve relevant data. These databases include family registers and online genealogical data, from which the server obtains data about individuals and their relationships. The input is personal information, and the output is related data.

[0121] Step 3:

[0122] The server analyzes the acquired data using natural language processing techniques. It extracts and structures meaningful information such as names, dates, and family relationships from the documents contained in the acquired data. The input for this step is the search results data, and the output is the structured information.

[0123] Step 4:

[0124] The server generates a family tree based on structured information and prepares it as a tree-structured visual data. At this stage, a visual family tree is created and ready to be shown to the user. The input is structured information, and the output is the tree structure of the family tree.

[0125] Step 5:

[0126] The generated family tree is output to a visual display device, allowing the user to visually confirm it. Through the family tree, the user can understand direct and collateral relationships at a glance. The input is family tree data, and the output is a visual display.

[0127] Step 6:

[0128] The server links the displayed family tree with museum exhibits, providing additional historical context and period information. This link allows users to learn more about the historical information related to the family tree. Input is the family tree and exhibit information, and output is the linked information.

[0129] 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.

[0130] This invention is a system that combines AI and emotion recognition technology to support users in researching their ancestry. This system generates a family tree based on personal information provided by the user and not only provides historical background and era information, but also has the function of recognizing the user's emotions and optimizing the method of information provision.

[0131] First, the user enters their basic information into the device and sends it to the server. Based on this information, the server searches various databases for relevant data. The retrieved data is analyzed using AI technology, and the user's family tree is automatically generated. The family tree has a tree structure and is represented in a visually easy-to-understand format.

[0132] During the process of generating this family tree, the system uses an emotion recognition engine to detect the user's emotions. This engine can read emotions from the user's voice, facial expressions, and input style. For example, if the user shows positive emotions such as surprise or joy, the system can accordingly make the family tree display more vibrant or add interactive elements.

[0133] Furthermore, the server customizes the historical background and period information provided based on the emotion recognition results. For example, it can enhance the user's experience of reliving the past by adding more detailed cultural background and relevant event information about the era of their ancestors that the user has shown interest in. This process helps users gain a deeper understanding of the past and explore stories about their roots.

[0134] This system allows users not only to receive a family tree, but also to engage with their ancestral history through a visually and emotionally rich experience. Furthermore, the interactive information provided by the system is tailored to the user's interests, resulting in a more personalized experience.

[0135] Thus, the present invention, as an advanced information processing system equipped with an emotion engine, enables users to obtain more personalized information and provides an innovative means of deepening their understanding of family history.

[0136] The following describes the processing flow.

[0137] Step 1:

[0138] The user uses their device to enter basic information about themselves, such as their name, date of birth, and parents' names. The entered information is immediately sent to the server.

[0139] Step 2:

[0140] Based on the user information received by the server, it accesses multiple external databases, including family register data and historical records, to search for relevant information. Queries for efficient data retrieval are automatically generated at this stage.

[0141] Step 3:

[0142] The server analyzes acquired data using AI technology. Utilizing natural language processing, it extracts information about family relationships and ancestry from documents and records, and converts it into structured data.

[0143] Step 4:

[0144] The server automatically generates the user's family tree using the analysis results. The family tree is constructed as a tree structure, and the data is organized in a visually easy-to-understand format.

[0145] Step 5:

[0146] The emotion recognition engine evaluates the user's emotions. It analyzes the user's facial expressions and tone of voice through the device to determine their emotional state.

[0147] Step 6:

[0148] The server reflects the emotion recognition results and adjusts how the family tree is displayed. For example, if a positive emotion is detected, the family tree's colors and interactions are enhanced.

[0149] Step 7:

[0150] The server customizes the user's ancestral background and related historical information based on their emotions and sends it to the device. This emotion-based information delivery creates a more personalized experience.

[0151] Step 8:

[0152] The device displays information sent from the server to the user. Additional historical information is presented interactively along with the family tree, allowing the user to gain a deeper understanding of their roots.

[0153] Step 9:

[0154] Based on the user's experience through the system, feedback and requests for additional information are sent from the terminal to the server. This information is then incorporated into the system's database and used to provide information in the future.

[0155] (Example 2)

[0156] 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".

[0157] With the advancement of information technology, there is a growing need for individuals to research and deeply understand their ancestral history. However, existing genealogy generation systems only provide information and lack the flexibility to deliver information in a way that responds to the user's emotions. Furthermore, they do not adequately customize information based on user interests, making it difficult to provide a personalized experience. In addition, users have limited opportunities to intuitively understand the cultural background and atmosphere of past eras. These challenges need to be addressed effectively.

[0158] 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.

[0159] In this invention, the server includes means for receiving personal information from a user, means for retrieving relevant data from multiple sources based on the received personal information, means for analyzing the information obtained from the sources and automatically generating a genealogy, and means for detecting the user's emotions through emotion recognition and optimizing information provision. As a result, the user can gain a deep understanding of their past background in a way that suits their emotions and obtain a personalized information experience.

[0160] A "user" refers to anyone who uses a system to input personal information and utilizes the acquired information.

[0161] "Personal information" refers to information that identifies a specific person, such as a user's name, date of birth, and family relationships.

[0162] "Information sources" refer to multiple databases and information collections used to obtain data, such as government records, public genealogical databases, and online historical archives.

[0163] A "genealogy" is a diagram that visually represents the flow of a user's family lineage, expressing family connections and history.

[0164] "User device" refers to an electronic device used to display information and for user input.

[0165] "Past background" refers to historical or cultural information related to the user's lineage.

[0166] "Time information" refers to information about events that occurred during a specific era or period related to the user's ancestors or lineage.

[0167] "Emotion recognition" refers to technology that analyzes a user's voice, facial expressions, and other interactions to evaluate their emotional state.

[0168] "Emotion" refers to the feelings and psychological state that users experience when viewing genealogies.

[0169] "Optimizing information delivery" refers to improving the user experience by adjusting the content and format of the information displayed according to the user's emotions and interests.

[0170] The present invention will now describe embodiments for carrying out the present invention. The present invention is a system for assisting users in ancestry research, and combines AI and emotion recognition technology. This enables the provision of personalized information to the user.

[0171] First, the user enters their basic information using a device and sends it to the server. This device can be a regular computer or smartphone. The entered information includes personal information that can identify a specific person.

[0172] Next, the server receives the information sent by the user and searches multiple sources to collect relevant data. This search process utilizes database queries using SQL, and the sources include government records, public genealogical databases, and online historical archives.

[0173] The server analyzes the collected data using AI technology and automatically generates the user's family tree. This analysis uses a generative AI model written in a programming language such as Python. The generated family tree is visualized as a tree structure and displayed on the user's device.

[0174] This system uses an emotion recognition engine to optimize the content and format of the information displayed based on the user's emotions. Emotion recognition is performed by analyzing data such as the user's voice and facial expressions acquired through the device's camera and microphone. This makes it possible to understand the emotions the user feels towards the displayed information and personalize the information provided.

[0175] For example, if a user is interested in detailed information about their great-grandmother's era, they might type "I want to know more about the historical context of my great-grandmother's time" into the terminal. Through this prompt, the system can provide information, including detailed historical context, that meets the user's request.

[0176] This entire process allows users to gain a deep understanding of their ancestors' history and culture, while also enjoying an emotionally rich experience.

[0177] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0178] Step 1:

[0179] The user uses their device to input and submit their basic information. This creates personal data such as name, date of birth, and family relationships, which is then sent to the server. Specifically, the user enters information into a form and presses the "Submit" button. The input data is output as a data packet to be sent to the server.

[0180] Step 2:

[0181] The server accesses multiple sources to retrieve relevant data based on the basic information received from the user. Using the entered personal data, the server executes database queries to obtain relevant information. During this process, raw datasets obtained from the sources are output. Specifically, the server searches the database through SQL queries and retrieves the necessary records.

[0182] Step 3:

[0183] The server uses AI technology to analyze the retrieved data and automatically generates the user's family tree. The input consists of a dataset from the retrieved information sources. This data is analyzed, and the family tree is output as a tree structure composed of nodes and links. Specifically, it uses a Python library, which is a generative AI model, to process the data and create a visualization of the lineage.

[0184] Step 4:

[0185] The device acquires emotion recognition data when the user views a family tree. This includes emotional data such as the user's voice and facial expressions. The input uses real-time emotional data captured through the device's camera and microphone. This data is analyzed to output the user's emotional state. Specifically, the device captures facial expressions with the camera and records voice with the microphone.

[0186] Step 5:

[0187] The server optimizes information delivery based on emotional data transmitted from the terminal. The emotional recognition result serves as input, and based on that, it outputs information such as displaying customized historical background and era information in a red frame. Specifically, it applies a filter that emphasizes the rich parts of the information according to the user's emotional state.

[0188] Step 6:

[0189] Based on the output, users can further explore topics that interest them. For example, if a user wants to learn more about a specific historical period, they can enter the prompt "I want to learn more about my great-grandmother's historical period" into their terminal and obtain detailed information as a result. Specifically, the user can view the results on their terminal and expand the details by clicking further.

[0190] (Application Example 2)

[0191] 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".

[0192] Traditional genealogy systems have the drawback of being limited to one-way information provision to users, lacking the flexibility to respond to users' emotions and interests. Furthermore, they lacked visually rich elements to enhance the user experience, making it difficult for users to deepen their interest in genealogies.

[0193] 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.

[0194] In this invention, the server includes means for receiving personal information from a user, means for searching for relevant data from multiple databases based on the received personal information, means for analyzing the data obtained from the databases and automatically generating a family tree, means for displaying the generated family tree on an output device, means for providing historical background and era information based on the displayed family tree, means for analyzing the user's emotions using emotion recognition technology and optimizing the information provision method based on the analysis results, and means for visually providing information using a projection device that projects visual information to a specified location. This makes it possible to optimize information provision according to the user's emotions and to keep the user interested in the family tree through a visually interactive experience.

[0195] A "user" is an individual who provides personal information using this system and receives the generation of a family tree and related information.

[0196] "Personal information" refers to basic information provided by users, which is used as data to investigate past family lineage and historical background.

[0197] A "database" is a storage device for accumulating related information, enabling searches based on a user's personal information.

[0198] "Emotion recognition technology" is a technology that analyzes a user's voice, facial expressions, and input methods to determine their current emotional state.

[0199] A "projection device" is a device used to visually display information at a designated location, and is used to allow users to visually experience family trees and related information.

[0200] The system that implements this application starts when the user enters personal information into a terminal and sends it to a server. The server searches for relevant information from multiple databases based on the received personal information. This automatically generates a family tree. In generating the family tree, the acquired data is analyzed and represented in a visually easy-to-understand format with a tree structure. The user's family tree is presented through a device that displays it on a terminal or projection display.

[0201] This system further analyzes the user's emotions by applying emotion recognition technology. Specifically, it uses an emotion recognition engine to analyze the user's voice and facial expressions to determine their emotional state. This process utilizes emotion recognition software such as the Affectiva SDK. Furthermore, if the user shows interest or a positive response, the system flexibly optimizes how information is presented. For example, detailed historical background and relevant cultural information can be added.

[0202] Furthermore, the server uses a projection display to visually project information to designated locations. This provides users with a vivid and interactive experience. Such interaction can be realized, for example, as a guide robot that explores family history within the home. The robot interacts with the user while projecting necessary information onto tables and walls in the home.

[0203] As a concrete example of this system, if a user prompts with "Tell me some amazing facts about my family history," the system can sense the user's surprise through emotion recognition and visually present additional information and stories related to that fact. Alternatively, in response to a prompt such as "I want to know more about the context of this era," it can display additional detailed information about that period.

[0204] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0205] Step 1:

[0206] The user enters personal information using their device and sends it to the server. This includes basic information such as name, date of birth, and place of residence. This transmits the user's initial data to the server.

[0207] Step 2:

[0208] The server searches multiple databases for relevant data based on the received personal information. The search process is performed using SQL queries, and the output is information about ancestors collected from each database.

[0209] Step 3:

[0210] The server analyzes information retrieved from the database and automatically generates a family tree. AI technology is used here to arrange the data in a tree structure and visually construct the family tree. The output is the data of the constructed family tree.

[0211] Step 4:

[0212] The server uses an emotion recognition engine to analyze the user's emotions. Audio and video data are input from the user's terminal, and emotion recognition technology (e.g., Affectiva SDK) analyzes this data. The analysis results in the output of the user's emotional state.

[0213] Step 5:

[0214] The server optimizes the family tree and related information based on the user's emotional state and displays it on the terminal or projection device. For example, it adds color changes and animations to highlight information that the user has shown interest in. The output is a visually adjusted family tree and related information.

[0215] Step 6:

[0216] The server receives user feedback and updates the information accordingly. New prompts or questions are provided as input, and the server re-searches the appropriate databases to collect the necessary data. The output is the newly added information and the updated family tree.

[0217] Step 7:

[0218] The server uses a projection display to project visual information to a designated location. Depending on the user's location and the room environment, the information is displayed on walls or tables. This enhances the user experience and provides interactive visual information as output.

[0219] 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.

[0220] Data generation model 58 is a type of 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.

[0221] 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.

[0222] [Second Embodiment]

[0223] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0224] 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.

[0225] 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).

[0226] 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.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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.

[0232] 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.

[0233] 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.

[0234] 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".

[0235] This invention is a system for users to research their own ancestral information. Based on basic personal information provided by the user, this system collects and analyzes relevant ancestral information and automatically generates a family tree. Specific embodiments are described below.

[0236] First, the user enters basic information about themselves using a terminal. This includes their name, date of birth, parents' names, and place of birth. This information is the starting point for the system and forms the basis for subsequent information collection and analysis.

[0237] Next, the entered information is sent from the terminal to the server. The server connects to multiple databases and searches for relevant data based on the user's input. These databases are diverse, including family registers, historical documents, and online genealogical data.

[0238] The server analyzes the information gathered through searches using AI technology. Natural language processing techniques are employed to identify and structure relevant individuals and family relationships from the acquired literature and data. At this stage, a series of ancestral information is determined based on the information collected by the AI.

[0239] Once the analysis is complete, the server automatically generates a family tree based on the information obtained. The generated family tree is visually represented as a tree structure. This allows the user to understand at a glance how their ancestors are connected.

[0240] The generated family tree is displayed to the user via their device. Here, the user can gain additional historical background and era information about their ancestors. This allows the user not only to learn about their family lineage but also to experience the lifestyle and culture of the era in which their ancestors lived.

[0241] Furthermore, users can provide feedback to the system. For example, they may request more detailed information or ask for additional information about a particular ancestor. This feedback is then transmitted from the terminal back to the server, which then performs new data collection and searches.

[0242] Through this process, users can conduct detailed research on their ancestors and gain a deeper understanding of past historical contexts. This system makes genealogical research simpler and faster, opening the way for more people to explore their roots.

[0243] The following describes the processing flow.

[0244] Step 1:

[0245] The user enters basic information about themselves on the device. This information includes their name, date of birth, parents' names, and place of birth.

[0246] Step 2:

[0247] The terminal sends the entered user information to the server. Here, the terminal transfers the data using a secure communication method.

[0248] Step 3:

[0249] Based on the user information received by the server, it connects to multiple external databases, such as family register databases and historical databases, and searches for relevant information.

[0250] Step 4:

[0251] The server retrieves search results and performs analysis using AI technology. Natural language processing techniques are used to analyze lists and documents from the retrieved data, identifying related names and family relationships.

[0252] Step 5:

[0253] The server automatically generates a family tree based on the analysis results. It reconstructs the obtained information into a tree structure and creates data that visually represents the relationships between each ancestor.

[0254] Step 6:

[0255] The device receives family tree data sent from the server and displays it to the user in a visually clear format. The displayed family tree is visually easy to understand and may include interactive elements.

[0256] Step 7:

[0257] The server provides historical background information related to each ancestor included in the family tree. Users can access this information through their terminals to deepen their understanding of the historical context and lifestyle of that time.

[0258] Step 8:

[0259] Based on the user's experience, feedback requests for additional information are sent from the device to the server. For example, this might be the case if the user wants more detailed information about a particular ancestor.

[0260] Step 9:

[0261] The server receives user feedback, searches for and re-analyzes new data, and updates family trees and background information as needed.

[0262] (Example 1)

[0263] 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."

[0264] There are insufficient means for individuals to easily and quickly research their own ancestral information. Furthermore, the information available often lacks detail regarding the historical context and cultural aspects, making it difficult to deeply understand and experience one's own roots.

[0265] 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.

[0266] In this invention, the server includes a functional means for receiving personal information from a user, a processing means for searching for relevant information from multiple sources based on the received personal information, and a generation means for analyzing the information obtained from the sources to automatically generate a family tree. This makes it possible to efficiently investigate an individual's ancestry and generate a family tree that includes detailed historical background and cultural information.

[0267] "Means of receiving personal information from users" refers to a system for electronically receiving basic information entered by users, such as name, date of birth, parents' names, and place of birth.

[0268] "A processing method for retrieving relevant information from multiple sources based on received personal information" refers to a processing method for retrieving relevant data from various sources, such as family registers, historical documents, and online genealogical data, based on personal information obtained from users.

[0269] "A generation method that automatically generates a family tree by analyzing information obtained from information sources" refers to an automated process that uses AI technology to analyze collected information and structures the results as a family tree.

[0270] "Display means for providing the generated family tree to a display device" refers to a method for outputting the created family tree to a display device such as a terminal so that the user can view it.

[0271] "Optional means of providing historical context and cultural information based on the displayed family tree" refers to an additional function that provides users with additional historical background, lifestyle, and cultural information related to the ancestors shown in the family tree.

[0272] An "interactive interface means" refers to a user interface configuration that allows users to manipulate data such as family trees, obtain detailed information, and send information to a feedback system.

[0273] A "response feedback mechanism" is a process for receiving responses from users, such as requests for additional information or correction requests, and for collecting and searching for further data based on those responses.

[0274] "Analysis methods that utilize natural language processing techniques" refer to technical methods that use natural language processing in the process of analyzing acquired data to identify and structure the relationships between information and people.

[0275] This invention is a system for users to effectively research their own ancestral information and obtain a family tree that includes detailed historical and cultural information. A specific embodiment of the system is configured as follows:

[0276] First, the user enters personal information such as their name, date of birth, parents' names, and place of birth using their device. This basic information serves as the starting point for the system. The device verifies the information entered by the user, checks the format's integrity, and then encrypts the data before sending it to the server.

[0277] The server searches multiple databases based on the personal information it receives. These databases include family register databases, historical document databases, and online genealogy databases. The server collects useful data from these sources, removing duplicates to maintain data consistency.

[0278] Next, the server uses generative AI models and natural language processing techniques to analyze the collected data. This allows it to identify related individuals and family relationships and structure the data. Based on the information obtained, the server automatically generates a tree-structured family tree. The generated family tree is then laid out clearly using a dedicated image generation tool for visualization.

[0279] Finally, the server sends the generated family tree to the terminal and displays it to the user. The family tree is interactive, allowing the user to easily view detailed information about ancestors they are interested in. Information about the historical context and culture is also displayed alongside the family tree, allowing the user to deeply experience the historical context of their ancestors.

[0280] For example, if a user prompts for "I want to investigate my father's family history in detail," the system can search for information tracing back further based on the parents' information and reflect it in the family tree.

[0281] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0282] Step 1:

[0283] The user uses the terminal to input their basic information. The information to be input includes name, date of birth, parents' names, and place of birth. The terminal receives this information, checks the format of the input data, and notifies a format error if necessary.

[0284] Step 2:

[0285] The terminal checks the data for integrity. After confirmation, it securely sends the personal information to the server using encryption technology. The input data is transferred using a keyed connection to ensure security on the communication path. The server starts further processing based on this received information.

[0286] Step 3:

[0287] Based on the received personal information, the server sends queries to multiple information sources to search for related ancestral information. The information sources include household records and online family tree information databases. The server efficiently collects the data and formats the collected information for batch processing.

[0288] Step 4:

[0289] The server analyzes the collected information using a generative AI model and natural language processing technology. In this analysis process, the relationships between people and the family structure in the data are identified, and based on this, the data structure is reorganized. As an output, a structured dataset is formed.

[0290] Step 5:

[0291] Based on the analysis results, the server creates a family tree using a tool that automatically generates a family tree. The generated family tree is organized in a tree structure for easy visual understanding. The output is formatted in a form that can be intuitively operated by the user.

[0292] Step 6:

[0293] The server sends the generated family tree to the user's terminal, which then displays it. The user can view the family tree on their terminal and research detailed information about ancestors they are interested in. The user can also access historical and cultural information related to the family tree.

[0294] Step 7:

[0295] The user inputs requests for further information collection through feedback on the device. The device sends this feedback to the server, which collects new information and re-analyzes it. As a result, the family tree is updated and provided to the user.

[0296] (Application Example 1)

[0297] 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."

[0298] The present invention aims to provide a system that enables users to easily obtain individual family tree information and to deeply understand it within a historical context. Conventional family tree generation systems have difficulty linking with historical background and era information, making it difficult to effectively connect individual family tree data with exhibition content. To solve this problem, there is a need for a system that immediately links relevant family tree information with exhibition content when accessed by the user, thereby facilitating a deeper historical understanding.

[0299] 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.

[0300] In this invention, the server includes means for receiving personal information from a user, means for searching for relevant data from a plurality of databases based on the received information, means for analyzing the data and automatically generating a family tree, means for outputting the generated family tree to a visual display device, and means for linking a museum display related to the displayed family tree. As a result, it becomes possible for the user to obtain their own family information using a terminal or smartphone and to more deeply understand history through an immediately related experience.

[0301] A "user" is an individual or group that inputs personal information using the system.

[0302] "Personal information" refers to basic data related to the user, such as name, date of birth, place of birth, etc.

[0303] A "database" is a collection of information that stores past information, such as household registration records and historical documents.

[0304] "Analysis" is a process of structuring the acquired data and extracting significant information.

[0305] A "family tree" is a diagram that illustrates the relationships of a user's ancestors and relatives.

[0306] A "visual display device" refers to a device through which the user can visually confirm the generated family tree.

[0307] A "museum display" is an information exhibit for visually presenting historical backgrounds and cultures.

[0308] "Linking" is the association of information performed to associate the information of the family tree with the content of the museum display.

[0309] To implement this invention, the user first inputs personal information using a terminal or smartphone. This personal information includes name, date of birth, parents' names, and place of birth. This information is sent to the server as a starting point. The server accesses multiple databases and searches for relevant data based on the received personal information. Databases include family registers, historical documents, and online genealogical data.

[0310] The server uses natural language processing technology in the process of analyzing the acquired data. This allows it to extract relevant individuals and family relationships from the documents contained in the data and structure the information. Based on the analyzed information, the server automatically generates a family tree and outputs it to a visual display device as a tree structure that visualizes the relationships.

[0311] When a user views a family tree generated on a visual display device, the server establishes a link to museum exhibits based on the displayed family tree. This link allows users to effectively understand historical context and era information along with their family tree information. As a result, individual visitors to the museum can view their own family tree and learn more deeply about the culture and history of the era in which their family lived through the exhibits.

[0312] A concrete example is an experience where, upon visiting a museum, a user enters necessary personal information at an input terminal within the museum and is instantly able to view a family tree and related exhibits via a server. An example of a prompt message to the generating AI model would be, "Please provide the information needed to create the family tree: name, date of birth, parent information, etc." This prompt encourages the user to enter the necessary data.

[0313] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0314] Step 1:

[0315] Users enter personal information using a terminal or smartphone. This information includes name, date of birth, parents' names, and place of birth. This information is sent from the user's terminal to the server. Here, the entered personal information is treated as the system's initial data.

[0316] Step 2:

[0317] The server uses the received personal information to query various databases and retrieve relevant data. These databases include family registers and online genealogical data, from which the server obtains data about individuals and their relationships. The input is personal information, and the output is related data.

[0318] Step 3:

[0319] The server analyzes the acquired data using natural language processing techniques. It extracts and structures meaningful information such as names, dates, and family relationships from the documents contained in the acquired data. The input for this step is the search results data, and the output is the structured information.

[0320] Step 4:

[0321] The server generates a family tree based on structured information and prepares it as a tree-structured visual data. At this stage, a visual family tree is created and ready to be shown to the user. The input is structured information, and the output is the tree structure of the family tree.

[0322] Step 5:

[0323] The generated family tree is output to a visual display device, allowing the user to visually confirm it. Through the family tree, the user can understand direct and collateral relationships at a glance. The input is family tree data, and the output is a visual display.

[0324] Step 6:

[0325] The server links the displayed family tree with museum exhibits, providing additional historical context and period information. This link allows users to learn more about the historical information related to the family tree. Input is the family tree and exhibit information, and output is the linked information.

[0326] 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.

[0327] This invention is a system that combines AI and emotion recognition technology to support users in researching their ancestry. This system generates a family tree based on personal information provided by the user and not only provides historical background and era information, but also has the function of recognizing the user's emotions and optimizing the method of information provision.

[0328] First, the user enters their basic information into the device and sends it to the server. Based on this information, the server searches various databases for relevant data. The retrieved data is analyzed using AI technology, and the user's family tree is automatically generated. The family tree has a tree structure and is represented in a visually easy-to-understand format.

[0329] During the process of generating this family tree, the system uses an emotion recognition engine to detect the user's emotions. This engine can read emotions from the user's voice, facial expressions, and input style. For example, if the user shows positive emotions such as surprise or joy, the system can accordingly make the family tree display more vibrant or add interactive elements.

[0330] Furthermore, the server customizes the historical background and period information provided based on the emotion recognition results. For example, it can enhance the user's experience of reliving the past by adding more detailed cultural background and relevant event information about the era of their ancestors that the user has shown interest in. This process helps users gain a deeper understanding of the past and explore stories about their roots.

[0331] This system allows users not only to receive a family tree, but also to engage with their ancestral history through a visually and emotionally rich experience. Furthermore, the interactive information provided by the system is tailored to the user's interests, resulting in a more personalized experience.

[0332] Thus, the present invention, as an advanced information processing system equipped with an emotion engine, enables users to obtain more personalized information and provides an innovative means of deepening their understanding of family history.

[0333] The following describes the processing flow.

[0334] Step 1:

[0335] The user uses their device to enter basic information about themselves, such as their name, date of birth, and parents' names. The entered information is immediately sent to the server.

[0336] Step 2:

[0337] Based on the user information received by the server, it accesses multiple external databases, including family register data and historical records, to search for relevant information. Queries for efficient data retrieval are automatically generated at this stage.

[0338] Step 3:

[0339] The server analyzes acquired data using AI technology. Utilizing natural language processing, it extracts information about family relationships and ancestry from documents and records, and converts it into structured data.

[0340] Step 4:

[0341] The server automatically generates the user's family tree using the analysis results. The family tree is constructed as a tree structure, and the data is organized in a visually easy-to-understand format.

[0342] Step 5:

[0343] The emotion recognition engine evaluates the user's emotions. It analyzes the user's facial expressions and tone of voice through the device to determine their emotional state.

[0344] Step 6:

[0345] The server reflects the emotion recognition results and adjusts how the family tree is displayed. For example, if a positive emotion is detected, the family tree's colors and interactions are enhanced.

[0346] Step 7:

[0347] The server customizes the user's ancestral background and related historical information based on their emotions and sends it to the device. This emotion-based information delivery creates a more personalized experience.

[0348] Step 8:

[0349] The device displays information sent from the server to the user. Additional historical information is presented interactively along with the family tree, allowing the user to gain a deeper understanding of their roots.

[0350] Step 9:

[0351] Based on the user's experience through the system, feedback and requests for additional information are sent from the terminal to the server. This information is then incorporated into the system's database and used to provide information in the future.

[0352] (Example 2)

[0353] 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".

[0354] With the advancement of information technology, there is a growing need for individuals to research and deeply understand their ancestral history. However, existing genealogy generation systems only provide information and lack the flexibility to deliver information in a way that responds to the user's emotions. Furthermore, they do not adequately customize information based on user interests, making it difficult to provide a personalized experience. In addition, users have limited opportunities to intuitively understand the cultural background and atmosphere of past eras. These challenges need to be addressed effectively.

[0355] 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.

[0356] In this invention, the server includes means for receiving personal information from a user, means for retrieving relevant data from multiple sources based on the received personal information, means for analyzing the information obtained from the sources and automatically generating a genealogy, and means for detecting the user's emotions through emotion recognition and optimizing information provision. As a result, the user can gain a deep understanding of their past background in a way that suits their emotions and obtain a personalized information experience.

[0357] A "user" refers to anyone who uses a system to input personal information and utilizes the acquired information.

[0358] "Personal information" refers to information that identifies a specific person, such as a user's name, date of birth, and family relationships.

[0359] "Information sources" refer to multiple databases and information collections used to obtain data, such as government records, public genealogical databases, and online historical archives.

[0360] A "genealogy" is a diagram that visually represents the flow of a user's family lineage, expressing family connections and history.

[0361] "User device" refers to an electronic device used to display information and for user input.

[0362] "Past background" refers to historical or cultural information related to the user's lineage.

[0363] "Time information" refers to information about events that occurred during a specific era or period related to the user's ancestors or lineage.

[0364] "Emotion recognition" refers to technology that analyzes a user's voice, facial expressions, and other interactions to evaluate their emotional state.

[0365] "Emotion" refers to the feelings and psychological state that users experience when viewing genealogies.

[0366] "Optimizing information delivery" refers to improving the user experience by adjusting the content and format of the information displayed according to the user's emotions and interests.

[0367] The present invention will now describe embodiments for carrying out the present invention. The present invention is a system for assisting users in ancestry research, and combines AI and emotion recognition technology. This enables the provision of personalized information to the user.

[0368] First, the user enters their basic information using a device and sends it to the server. This device can be a regular computer or smartphone. The entered information includes personal information that can identify a specific person.

[0369] Next, the server receives the information sent by the user and searches multiple sources to collect relevant data. This search process utilizes database queries using SQL, and the sources include government records, public genealogical databases, and online historical archives.

[0370] The server analyzes the collected data using AI technology and automatically generates the user's family tree. This analysis uses a generative AI model written in a programming language such as Python. The generated family tree is visualized as a tree structure and displayed on the user's device.

[0371] This system uses an emotion recognition engine to optimize the content and format of the information displayed based on the user's emotions. Emotion recognition is performed by analyzing data such as the user's voice and facial expressions acquired through the device's camera and microphone. This makes it possible to understand the emotions the user feels towards the displayed information and personalize the information provided.

[0372] For example, if a user is interested in detailed information about their great-grandmother's era, they might type "I want to know more about the historical context of my great-grandmother's time" into the terminal. Through this prompt, the system can provide information, including detailed historical context, that meets the user's request.

[0373] This entire process allows users to gain a deep understanding of their ancestors' history and culture, while also enjoying an emotionally rich experience.

[0374] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0375] Step 1:

[0376] The user uses their device to input and submit their basic information. This creates personal data such as name, date of birth, and family relationships, which is then sent to the server. Specifically, the user enters information into a form and presses the "Submit" button. The input data is output as a data packet to be sent to the server.

[0377] Step 2:

[0378] The server accesses multiple sources to retrieve relevant data based on the basic information received from the user. Using the entered personal data, the server executes database queries to obtain relevant information. During this process, raw datasets obtained from the sources are output. Specifically, the server searches the database through SQL queries and retrieves the necessary records.

[0379] Step 3:

[0380] The server uses AI technology to analyze the retrieved data and automatically generates the user's family tree. The input consists of a dataset from the retrieved information sources. This data is analyzed, and the family tree is output as a tree structure composed of nodes and links. Specifically, it uses a Python library, which is a generative AI model, to process the data and create a visualization of the lineage.

[0381] Step 4:

[0382] The device acquires emotion recognition data when the user views a family tree. This includes emotional data such as the user's voice and facial expressions. The input uses real-time emotional data captured through the device's camera and microphone. This data is analyzed to output the user's emotional state. Specifically, the device captures facial expressions with the camera and records voice with the microphone.

[0383] Step 5:

[0384] The server optimizes information delivery based on emotional data transmitted from the terminal. The emotional recognition result serves as input, and based on that, it outputs information such as displaying customized historical background and era information in a red frame. Specifically, it applies a filter that emphasizes the rich parts of the information according to the user's emotional state.

[0385] Step 6:

[0386] Based on the output, users can further explore topics that interest them. For example, if a user wants to learn more about a specific historical period, they can enter the prompt "I want to learn more about my great-grandmother's historical period" into their terminal and obtain detailed information as a result. Specifically, the user can view the results on their terminal and expand the details by clicking further.

[0387] (Application Example 2)

[0388] 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."

[0389] Traditional genealogy systems have the drawback of being limited to one-way information provision to users, lacking the flexibility to respond to users' emotions and interests. Furthermore, they lacked visually rich elements to enhance the user experience, making it difficult for users to deepen their interest in genealogies.

[0390] 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.

[0391] In this invention, the server includes means for receiving personal information from a user, means for searching for relevant data from multiple databases based on the received personal information, means for analyzing the data obtained from the databases and automatically generating a family tree, means for displaying the generated family tree on an output device, means for providing historical background and era information based on the displayed family tree, means for analyzing the user's emotions using emotion recognition technology and optimizing the information provision method based on the analysis results, and means for visually providing information using a projection device that projects visual information to a specified location. This makes it possible to optimize information provision according to the user's emotions and to keep the user interested in the family tree through a visually interactive experience.

[0392] A "user" is an individual who provides personal information using this system and receives the generation of a family tree and related information.

[0393] "Personal information" refers to basic information provided by users, which is used as data to investigate past family lineage and historical background.

[0394] A "database" is a storage device for accumulating related information, enabling searches based on a user's personal information.

[0395] "Emotion recognition technology" is a technology that analyzes a user's voice, facial expressions, and input methods to determine their current emotional state.

[0396] A "projection device" is a device used to visually display information at a designated location, and is used to allow users to visually experience family trees and related information.

[0397] The system that implements this application starts when the user enters personal information into a terminal and sends it to a server. The server searches for relevant information from multiple databases based on the received personal information. This automatically generates a family tree. In generating the family tree, the acquired data is analyzed and represented in a visually easy-to-understand format with a tree structure. The user's family tree is presented through a device that displays it on a terminal or projection display.

[0398] This system further analyzes the user's emotions by applying emotion recognition technology. Specifically, it uses an emotion recognition engine to analyze the user's voice and facial expressions to determine their emotional state. This process utilizes emotion recognition software such as the Affectiva SDK. Furthermore, if the user shows interest or a positive response, the system flexibly optimizes how information is presented. For example, detailed historical background and relevant cultural information can be added.

[0399] Furthermore, the server uses a projection display to visually project information to designated locations. This provides users with a vivid and interactive experience. Such interaction can be realized, for example, as a guide robot that explores family history within the home. The robot interacts with the user while projecting necessary information onto tables and walls in the home.

[0400] As a concrete example of this system, if a user prompts with "Tell me some amazing facts about my family history," the system can sense the user's surprise through emotion recognition and visually present additional information and stories related to that fact. Alternatively, in response to a prompt such as "I want to know more about the context of this era," it can display additional detailed information about that period.

[0401] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0402] Step 1:

[0403] The user enters personal information using their device and sends it to the server. This includes basic information such as name, date of birth, and place of residence. This transmits the user's initial data to the server.

[0404] Step 2:

[0405] The server searches multiple databases for relevant data based on the received personal information. The search process is performed using SQL queries, and the output is information about ancestors collected from each database.

[0406] Step 3:

[0407] The server analyzes information retrieved from the database and automatically generates a family tree. AI technology is used here to arrange the data in a tree structure and visually construct the family tree. The output is the data of the constructed family tree.

[0408] Step 4:

[0409] The server uses an emotion recognition engine to analyze the user's emotions. Audio and video data are input from the user's terminal, and emotion recognition technology (e.g., Affectiva SDK) analyzes this data. The analysis results in the output of the user's emotional state.

[0410] Step 5:

[0411] The server optimizes the family tree and related information based on the user's emotional state and displays it on the terminal or projection device. For example, it adds color changes and animations to highlight information that the user has shown interest in. The output is a visually adjusted family tree and related information.

[0412] Step 6:

[0413] The server receives user feedback and updates the information accordingly. New prompts or questions are provided as input, and the server re-searches the appropriate databases to collect the necessary data. The output is the newly added information and the updated family tree.

[0414] Step 7:

[0415] The server uses a projection display to project visual information to a designated location. Depending on the user's location and the room environment, the information is displayed on walls or tables. This enhances the user experience and provides interactive visual information as output.

[0416] 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.

[0417] 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.

[0418] 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.

[0419] [Third Embodiment]

[0420] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0421] 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.

[0422] 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).

[0423] 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.

[0424] 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.

[0425] 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).

[0426] 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.

[0427] 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.

[0428] 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.

[0429] 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.

[0430] 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.

[0431] 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".

[0432] This invention is a system for users to research their own ancestral information. Based on basic personal information provided by the user, this system collects and analyzes relevant ancestral information and automatically generates a family tree. Specific embodiments are described below.

[0433] First, the user enters basic information about themselves using a terminal. This includes their name, date of birth, parents' names, and place of birth. This information is the starting point for the system and forms the basis for subsequent information collection and analysis.

[0434] Next, the entered information is sent from the terminal to the server. The server connects to multiple databases and searches for relevant data based on the user's input. These databases are diverse, including family registers, historical documents, and online genealogical data.

[0435] The server analyzes the information gathered through searches using AI technology. Natural language processing techniques are employed to identify and structure relevant individuals and family relationships from the acquired literature and data. At this stage, a series of ancestral information is determined based on the information collected by the AI.

[0436] Once the analysis is complete, the server automatically generates a family tree based on the information obtained. The generated family tree is visually represented as a tree structure. This allows the user to understand at a glance how their ancestors are connected.

[0437] The generated family tree is displayed to the user via their device. Here, the user can gain additional historical background and era information about their ancestors. This allows the user not only to learn about their family lineage but also to experience the lifestyle and culture of the era in which their ancestors lived.

[0438] Furthermore, users can provide feedback to the system. For example, they may request more detailed information or ask for additional information about a particular ancestor. This feedback is then transmitted from the terminal back to the server, which then performs new data collection and searches.

[0439] Through this process, users can conduct detailed research on their ancestors and gain a deeper understanding of past historical contexts. This system makes genealogical research simpler and faster, opening the way for more people to explore their roots.

[0440] The following describes the processing flow.

[0441] Step 1:

[0442] The user enters basic information about themselves on the device. This information includes their name, date of birth, parents' names, and place of birth.

[0443] Step 2:

[0444] The terminal sends the entered user information to the server. Here, the terminal transfers the data using a secure communication method.

[0445] Step 3:

[0446] Based on the user information received by the server, it connects to multiple external databases, such as family register databases and historical databases, and searches for relevant information.

[0447] Step 4:

[0448] The server retrieves search results and performs analysis using AI technology. Natural language processing techniques are used to analyze lists and documents from the retrieved data, identifying related names and family relationships.

[0449] Step 5:

[0450] The server automatically generates a family tree based on the analysis results. It reconstructs the obtained information into a tree structure and creates data that visually represents the relationships between each ancestor.

[0451] Step 6:

[0452] The device receives family tree data sent from the server and displays it to the user in a visually clear format. The displayed family tree is visually easy to understand and may include interactive elements.

[0453] Step 7:

[0454] The server provides historical background information related to each ancestor included in the family tree. Users can access this information through their terminals to deepen their understanding of the historical context and lifestyle of that time.

[0455] Step 8:

[0456] Based on the user's experience, feedback requests for additional information are sent from the device to the server. For example, this might be the case if the user wants more detailed information about a particular ancestor.

[0457] Step 9:

[0458] The server receives user feedback, searches for and re-analyzes new data, and updates family trees and background information as needed.

[0459] (Example 1)

[0460] 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."

[0461] There are insufficient means for individuals to easily and quickly research their own ancestral information. Furthermore, the information available often lacks detail regarding the historical context and cultural aspects, making it difficult to deeply understand and experience one's own roots.

[0462] 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.

[0463] In this invention, the server includes a functional means for receiving personal information from a user, a processing means for searching for relevant information from multiple sources based on the received personal information, and a generation means for analyzing the information obtained from the sources to automatically generate a family tree. This makes it possible to efficiently investigate an individual's ancestry and generate a family tree that includes detailed historical background and cultural information.

[0464] "Means of receiving personal information from users" refers to a system for electronically receiving basic information entered by users, such as name, date of birth, parents' names, and place of birth.

[0465] "A processing method for retrieving relevant information from multiple sources based on received personal information" refers to a processing method for retrieving relevant data from various sources, such as family registers, historical documents, and online genealogical data, based on personal information obtained from users.

[0466] "A generation method that automatically generates a family tree by analyzing information obtained from information sources" refers to an automated process that uses AI technology to analyze collected information and structures the results as a family tree.

[0467] "Display means for providing the generated family tree to a display device" refers to a method for outputting the created family tree to a display device such as a terminal so that the user can view it.

[0468] "Optional means of providing historical context and cultural information based on the displayed family tree" refers to an additional function that provides users with additional historical background, lifestyle, and cultural information related to the ancestors shown in the family tree.

[0469] An "interactive interface means" refers to a user interface configuration that allows users to manipulate data such as family trees, obtain detailed information, and send information to a feedback system.

[0470] A "response feedback mechanism" is a process for receiving responses from users, such as requests for additional information or correction requests, and for collecting and searching for further data based on those responses.

[0471] "Analysis methods that utilize natural language processing techniques" refer to technical methods that use natural language processing in the process of analyzing acquired data to identify and structure the relationships between information and people.

[0472] This invention is a system for users to effectively research their own ancestral information and obtain a family tree that includes detailed historical and cultural information. A specific embodiment of the system is configured as follows:

[0473] First, the user enters personal information such as their name, date of birth, parents' names, and place of birth using their device. This basic information serves as the starting point for the system. The device verifies the information entered by the user, checks the format's integrity, and then encrypts the data before sending it to the server.

[0474] The server searches multiple databases based on the personal information it receives. These databases include family register databases, historical document databases, and online genealogy databases. The server collects useful data from these sources, removing duplicates to maintain data consistency.

[0475] Next, the server uses generative AI models and natural language processing techniques to analyze the collected data. This allows it to identify related individuals and family relationships and structure the data. Based on the information obtained, the server automatically generates a tree-structured family tree. The generated family tree is then laid out clearly using a dedicated image generation tool for visualization.

[0476] Finally, the server sends the generated family tree to the terminal and displays it to the user. The family tree is interactive, allowing the user to easily view detailed information about ancestors they are interested in. Information about the historical context and culture is also displayed alongside the family tree, allowing the user to deeply experience the historical context of their ancestors.

[0477] For example, if a user prompts for "I want to investigate my father's family history in detail," the system can search for information tracing back further based on the parents' information and reflect it in the family tree.

[0478] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0479] Step 1:

[0480] The user enters their basic information using the terminal. This information includes their name, date of birth, parents' names, and place of birth. The terminal receives this information, checks the format of the entered data, and notifies the user of format errors if necessary.

[0481] Step 2:

[0482] The terminal checks the integrity of the data, and after verification, securely transmits personal information to the server using encryption technology. Input data is transferred using a keyed connection, ensuring security during communication. The server then begins further processing based on this received information.

[0483] Step 3:

[0484] Based on the personal information it receives, the server sends queries to multiple sources to search for relevant ancestral information. These sources include family registers and online genealogy databases. The server efficiently collects data and formats the collected information for batch processing.

[0485] Step 4:

[0486] The server analyzes the collected information using generative AI models and natural language processing techniques. This analysis identifies the relationships and family structures between individuals in the data and reorganizes the data structure based on this information. The output is a structured dataset.

[0487] Step 5:

[0488] Based on the analysis results, the server uses an automated family tree generation tool to create a family tree. The generated family tree is organized into a tree structure for visual clarity. The output is formatted in a way that allows the user to intuitively manipulate it.

[0489] Step 6:

[0490] The server sends the generated family tree to the user's terminal, which then displays it. The user can view the family tree on their terminal and research detailed information about ancestors they are interested in. The user can also access historical and cultural information related to the family tree.

[0491] Step 7:

[0492] The user inputs requests for further information collection through feedback on the device. The device sends this feedback to the server, which collects new information and re-analyzes it. As a result, the family tree is updated and provided to the user.

[0493] (Application Example 1)

[0494] 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."

[0495] The present invention aims to provide a system that enables users to easily obtain individual family tree information and to deeply understand it within a historical context. Conventional family tree generation systems have difficulty linking with historical background and era information, making it difficult to effectively connect individual family tree data with exhibition content. To solve this problem, there is a need for a system that immediately links relevant family tree information with exhibition content when accessed by the user, thereby facilitating a deeper historical understanding.

[0496] 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.

[0497] In this invention, the server includes means for receiving personal information from a user, means for searching for relevant data from multiple databases based on the received information, means for analyzing the data and automatically generating a family tree, means for outputting the generated family tree to a visual display device, and means for linking the displayed family tree with related museum exhibits. This makes it possible for users to obtain their own family tree information using a terminal or smartphone and immediately gain a deeper understanding of history through related experiences.

[0498] A "user" is an individual or organization that uses the system to input personal information.

[0499] "Personal information" refers to basic data about the user, such as name, date of birth, and place of birth.

[0500] A "database" is a collection of information that stores historical data, such as family registers and historical documents.

[0501] "Analysis" is the process of structuring acquired data and extracting meaningful information.

[0502] A "family tree" is a diagram illustrating the relationships between a user's ancestors and relatives.

[0503] A "visual display device" refers to a device that allows users to visually confirm the generated family tree.

[0504] A "museum exhibit" is an informational display that visually presents historical background and culture.

[0505] "Linking" refers to the process of linking information in a family tree with the content of museum exhibits.

[0506] To implement this invention, the user first inputs personal information using a terminal or smartphone. This personal information includes name, date of birth, parents' names, and place of birth. This information is sent to the server as a starting point. The server accesses multiple databases and searches for relevant data based on the received personal information. Databases include family registers, historical documents, and online genealogical data.

[0507] The server uses natural language processing technology in the process of analyzing the acquired data. This allows it to extract relevant individuals and family relationships from the documents contained in the data and structure the information. Based on the analyzed information, the server automatically generates a family tree and outputs it to a visual display device as a tree structure that visualizes the relationships.

[0508] When a user views a family tree generated on a visual display device, the server establishes a link to museum exhibits based on the displayed family tree. This link allows users to effectively understand historical context and era information along with their family tree information. As a result, individual visitors to the museum can view their own family tree and learn more deeply about the culture and history of the era in which their family lived through the exhibits.

[0509] A concrete example is an experience where, upon visiting a museum, a user enters necessary personal information at an input terminal within the museum and is instantly able to view a family tree and related exhibits via a server. An example of a prompt message to the generating AI model would be, "Please provide the information needed to create the family tree: name, date of birth, parent information, etc." This prompt encourages the user to enter the necessary data.

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

[0511] Step 1:

[0512] Users enter personal information using a terminal or smartphone. This information includes name, date of birth, parents' names, and place of birth. This information is sent from the user's terminal to the server. Here, the entered personal information is treated as the system's initial data.

[0513] Step 2:

[0514] The server uses the received personal information to query various databases and retrieve relevant data. These databases include family registers and online genealogical data, from which the server obtains data about individuals and their relationships. The input is personal information, and the output is related data.

[0515] Step 3:

[0516] The server analyzes the acquired data using natural language processing techniques. It extracts and structures meaningful information such as names, dates, and family relationships from the documents contained in the acquired data. The input for this step is the search results data, and the output is the structured information.

[0517] Step 4:

[0518] The server generates a family tree based on structured information and prepares it as a tree-structured visual data. At this stage, a visual family tree is created and ready to be shown to the user. The input is structured information, and the output is the tree structure of the family tree.

[0519] Step 5:

[0520] The generated family tree is output to a visual display device, allowing the user to visually confirm it. Through the family tree, the user can understand direct and collateral relationships at a glance. The input is family tree data, and the output is a visual display.

[0521] Step 6:

[0522] The server links the displayed family tree with museum exhibits, providing additional historical context and period information. This link allows users to learn more about the historical information related to the family tree. Input is the family tree and exhibit information, and output is the linked information.

[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 combines AI and emotion recognition technology to support users in researching their ancestry. This system generates a family tree based on personal information provided by the user and not only provides historical background and era information, but also has the function of recognizing the user's emotions and optimizing the method of information provision.

[0525] First, the user enters their basic information into the device and sends it to the server. Based on this information, the server searches various databases for relevant data. The retrieved data is analyzed using AI technology, and the user's family tree is automatically generated. The family tree has a tree structure and is represented in a visually easy-to-understand format.

[0526] During the process of generating this family tree, the system uses an emotion recognition engine to detect the user's emotions. This engine can read emotions from the user's voice, facial expressions, and input style. For example, if the user shows positive emotions such as surprise or joy, the system can accordingly make the family tree display more vibrant or add interactive elements.

[0527] Furthermore, the server customizes the historical background and period information provided based on the emotion recognition results. For example, it can enhance the user's experience of reliving the past by adding more detailed cultural background and relevant event information about the era of their ancestors that the user has shown interest in. This process helps users gain a deeper understanding of the past and explore stories about their roots.

[0528] This system allows users not only to receive a family tree, but also to engage with their ancestral history through a visually and emotionally rich experience. Furthermore, the interactive information provided by the system is tailored to the user's interests, resulting in a more personalized experience.

[0529] Thus, the present invention, as an advanced information processing system equipped with an emotion engine, enables users to obtain more personalized information and provides an innovative means of deepening their understanding of family history.

[0530] The following describes the processing flow.

[0531] Step 1:

[0532] The user uses their device to enter basic information about themselves, such as their name, date of birth, and parents' names. The entered information is immediately sent to the server.

[0533] Step 2:

[0534] Based on the user information received by the server, it accesses multiple external databases, including family register data and historical records, to search for relevant information. Queries for efficient data retrieval are automatically generated at this stage.

[0535] Step 3:

[0536] The server analyzes acquired data using AI technology. Utilizing natural language processing, it extracts information about family relationships and ancestry from documents and records, and converts it into structured data.

[0537] Step 4:

[0538] The server automatically generates the user's family tree using the analysis results. The family tree is constructed as a tree structure, and the data is organized in a visually easy-to-understand format.

[0539] Step 5:

[0540] The emotion recognition engine evaluates the user's emotions. It analyzes the user's facial expressions and tone of voice through the device to determine their emotional state.

[0541] Step 6:

[0542] The server reflects the emotion recognition results and adjusts how the family tree is displayed. For example, if a positive emotion is detected, the family tree's colors and interactions are enhanced.

[0543] Step 7:

[0544] The server customizes the user's ancestral background and related historical information based on their emotions and sends it to the device. This emotion-based information delivery creates a more personalized experience.

[0545] Step 8:

[0546] The device displays information sent from the server to the user. Additional historical information is presented interactively along with the family tree, allowing the user to gain a deeper understanding of their roots.

[0547] Step 9:

[0548] Based on the user's experience through the system, feedback and requests for additional information are sent from the terminal to the server. This information is then incorporated into the system's database and used to provide information in the future.

[0549] (Example 2)

[0550] 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."

[0551] With the advancement of information technology, there is a growing need for individuals to research and deeply understand their ancestral history. However, existing genealogy generation systems only provide information and lack the flexibility to deliver information in a way that responds to the user's emotions. Furthermore, they do not adequately customize information based on user interests, making it difficult to provide a personalized experience. In addition, users have limited opportunities to intuitively understand the cultural background and atmosphere of past eras. These challenges need to be addressed effectively.

[0552] 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.

[0553] In this invention, the server includes means for receiving personal information from a user, means for retrieving relevant data from multiple sources based on the received personal information, means for analyzing the information obtained from the sources and automatically generating a genealogy, and means for detecting the user's emotions through emotion recognition and optimizing information provision. As a result, the user can gain a deep understanding of their past background in a way that suits their emotions and obtain a personalized information experience.

[0554] A "user" refers to anyone who uses a system to input personal information and utilizes the acquired information.

[0555] "Personal information" refers to information that identifies a specific person, such as a user's name, date of birth, and family relationships.

[0556] "Information sources" refer to multiple databases and information collections used to obtain data, such as government records, public genealogical databases, and online historical archives.

[0557] A "genealogy" is a diagram that visually represents the flow of a user's family lineage, expressing family connections and history.

[0558] "User device" refers to an electronic device used to display information and for user input.

[0559] "Past background" refers to historical or cultural information related to the user's lineage.

[0560] "Time information" refers to information about events that occurred during a specific era or period related to the user's ancestors or lineage.

[0561] "Emotion recognition" refers to technology that analyzes a user's voice, facial expressions, and other interactions to evaluate their emotional state.

[0562] "Emotion" refers to the feelings and psychological state that users experience when viewing genealogies.

[0563] "Optimizing information delivery" refers to improving the user experience by adjusting the content and format of the information displayed according to the user's emotions and interests.

[0564] The present invention will now describe embodiments for carrying out the present invention. The present invention is a system for assisting users in ancestry research, and combines AI and emotion recognition technology. This enables the provision of personalized information to the user.

[0565] First, the user enters their basic information using a device and sends it to the server. This device can be a regular computer or smartphone. The entered information includes personal information that can identify a specific person.

[0566] Next, the server receives the information sent by the user and searches multiple sources to collect relevant data. This search process utilizes database queries using SQL, and the sources include government records, public genealogical databases, and online historical archives.

[0567] The server analyzes the collected data using AI technology and automatically generates the user's family tree. This analysis uses a generative AI model written in a programming language such as Python. The generated family tree is visualized as a tree structure and displayed on the user's device.

[0568] This system uses an emotion recognition engine to optimize the content and format of the information displayed based on the user's emotions. Emotion recognition is performed by analyzing data such as the user's voice and facial expressions acquired through the device's camera and microphone. This makes it possible to understand the emotions the user feels towards the displayed information and personalize the information provided.

[0569] For example, if a user is interested in detailed information about their great-grandmother's era, they might type "I want to know more about the historical context of my great-grandmother's time" into the terminal. Through this prompt, the system can provide information, including detailed historical context, that meets the user's request.

[0570] This entire process allows users to gain a deep understanding of their ancestors' history and culture, while also enjoying an emotionally rich experience.

[0571] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0572] Step 1:

[0573] The user uses their device to input and submit their basic information. This creates personal data such as name, date of birth, and family relationships, which is then sent to the server. Specifically, the user enters information into a form and presses the "Submit" button. The input data is output as a data packet to be sent to the server.

[0574] Step 2:

[0575] The server accesses multiple sources to retrieve relevant data based on the basic information received from the user. Using the entered personal data, the server executes database queries to obtain relevant information. During this process, raw datasets obtained from the sources are output. Specifically, the server searches the database through SQL queries and retrieves the necessary records.

[0576] Step 3:

[0577] The server uses AI technology to analyze the retrieved data and automatically generates the user's family tree. The input consists of a dataset from the retrieved information sources. This data is analyzed, and the family tree is output as a tree structure composed of nodes and links. Specifically, it uses a Python library, which is a generative AI model, to process the data and create a visualization of the lineage.

[0578] Step 4:

[0579] The device acquires emotion recognition data when the user views a family tree. This includes emotional data such as the user's voice and facial expressions. The input uses real-time emotional data captured through the device's camera and microphone. This data is analyzed to output the user's emotional state. Specifically, the device captures facial expressions with the camera and records voice with the microphone.

[0580] Step 5:

[0581] The server optimizes information delivery based on emotional data transmitted from the terminal. The emotional recognition result serves as input, and based on that, it outputs information such as displaying customized historical background and era information in a red frame. Specifically, it applies a filter that emphasizes the rich parts of the information according to the user's emotional state.

[0582] Step 6:

[0583] Based on the output, users can further explore topics that interest them. For example, if a user wants to learn more about a specific historical period, they can enter the prompt "I want to learn more about my great-grandmother's historical period" into their terminal and obtain detailed information as a result. Specifically, the user can view the results on their terminal and expand the details by clicking further.

[0584] (Application Example 2)

[0585] 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."

[0586] Traditional genealogy systems have the drawback of being limited to one-way information provision to users, lacking the flexibility to respond to users' emotions and interests. Furthermore, they lacked visually rich elements to enhance the user experience, making it difficult for users to deepen their interest in genealogies.

[0587] 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.

[0588] In this invention, the server includes means for receiving personal information from a user, means for searching for relevant data from multiple databases based on the received personal information, means for analyzing the data obtained from the databases and automatically generating a family tree, means for displaying the generated family tree on an output device, means for providing historical background and era information based on the displayed family tree, means for analyzing the user's emotions using emotion recognition technology and optimizing the information provision method based on the analysis results, and means for visually providing information using a projection device that projects visual information to a specified location. This makes it possible to optimize information provision according to the user's emotions and to keep the user interested in the family tree through a visually interactive experience.

[0589] A "user" is an individual who provides personal information using this system and receives the generation of a family tree and related information.

[0590] "Personal information" refers to basic information provided by users, which is used as data to investigate past family lineage and historical background.

[0591] A "database" is a storage device for accumulating related information, enabling searches based on a user's personal information.

[0592] "Emotion recognition technology" is a technology that analyzes a user's voice, facial expressions, and input methods to determine their current emotional state.

[0593] A "projection device" is a device used to visually display information at a designated location, and is used to allow users to visually experience family trees and related information.

[0594] The system that implements this application starts when the user enters personal information into a terminal and sends it to a server. The server searches for relevant information from multiple databases based on the received personal information. This automatically generates a family tree. In generating the family tree, the acquired data is analyzed and represented in a visually easy-to-understand format with a tree structure. The user's family tree is presented through a device that displays it on a terminal or projection display.

[0595] This system further analyzes the user's emotions by applying emotion recognition technology. Specifically, it uses an emotion recognition engine to analyze the user's voice and facial expressions to determine their emotional state. This process utilizes emotion recognition software such as the Affectiva SDK. Furthermore, if the user shows interest or a positive response, the system flexibly optimizes how information is presented. For example, detailed historical background and relevant cultural information can be added.

[0596] Furthermore, the server uses a projection display to visually project information to designated locations. This provides users with a vivid and interactive experience. Such interaction can be realized, for example, as a guide robot that explores family history within the home. The robot interacts with the user while projecting necessary information onto tables and walls in the home.

[0597] As a concrete example of this system, if a user prompts with "Tell me some amazing facts about my family history," the system can sense the user's surprise through emotion recognition and visually present additional information and stories related to that fact. Alternatively, in response to a prompt such as "I want to know more about the context of this era," it can display additional detailed information about that period.

[0598] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0599] Step 1:

[0600] The user enters personal information using their device and sends it to the server. This includes basic information such as name, date of birth, and place of residence. This transmits the user's initial data to the server.

[0601] Step 2:

[0602] The server searches multiple databases for relevant data based on the received personal information. The search process is performed using SQL queries, and the output is information about ancestors collected from each database.

[0603] Step 3:

[0604] The server analyzes information retrieved from the database and automatically generates a family tree. AI technology is used here to arrange the data in a tree structure and visually construct the family tree. The output is the data of the constructed family tree.

[0605] Step 4:

[0606] The server uses an emotion recognition engine to analyze the user's emotions. Audio and video data are input from the user's terminal, and emotion recognition technology (e.g., Affectiva SDK) analyzes this data. The analysis results in the output of the user's emotional state.

[0607] Step 5:

[0608] The server optimizes the family tree and related information based on the user's emotional state and displays it on the terminal or projection device. For example, it adds color changes and animations to highlight information that the user has shown interest in. The output is a visually adjusted family tree and related information.

[0609] Step 6:

[0610] The server receives user feedback and updates the information accordingly. New prompts or questions are provided as input, and the server re-searches the appropriate databases to collect the necessary data. The output is the newly added information and the updated family tree.

[0611] Step 7:

[0612] The server uses a projection display to project visual information to a designated location. Depending on the user's location and the room environment, the information is displayed on walls or tables. This enhances the user experience and provides interactive visual information as output.

[0613] 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.

[0614] 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.

[0615] 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.

[0616] [Fourth Embodiment]

[0617] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0618] 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.

[0619] 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).

[0620] 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.

[0621] 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.

[0622] 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).

[0623] 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.

[0624] 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.

[0625] 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.

[0626] 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.

[0627] 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.

[0628] 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.

[0629] 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".

[0630] This invention is a system for users to research their own ancestral information. Based on basic personal information provided by the user, this system collects and analyzes relevant ancestral information and automatically generates a family tree. Specific embodiments are described below.

[0631] First, the user enters basic information about themselves using a terminal. This includes their name, date of birth, parents' names, and place of birth. This information is the starting point for the system and forms the basis for subsequent information collection and analysis.

[0632] Next, the entered information is sent from the terminal to the server. The server connects to multiple databases and searches for relevant data based on the user's input. These databases are diverse, including family registers, historical documents, and online genealogical data.

[0633] The server analyzes the information gathered through searches using AI technology. Natural language processing techniques are employed to identify and structure relevant individuals and family relationships from the acquired literature and data. At this stage, a series of ancestral information is determined based on the information collected by the AI.

[0634] Once the analysis is complete, the server automatically generates a family tree based on the information obtained. The generated family tree is visually represented as a tree structure. This allows the user to understand at a glance how their ancestors are connected.

[0635] The generated family tree is displayed to the user via their device. Here, the user can gain additional historical background and era information about their ancestors. This allows the user not only to learn about their family lineage but also to experience the lifestyle and culture of the era in which their ancestors lived.

[0636] Furthermore, users can provide feedback to the system. For example, they may request more detailed information or ask for additional information about a particular ancestor. This feedback is then transmitted from the terminal back to the server, which then performs new data collection and searches.

[0637] Through this process, users can conduct detailed research on their ancestors and gain a deeper understanding of past historical contexts. This system makes genealogical research simpler and faster, opening the way for more people to explore their roots.

[0638] The following describes the processing flow.

[0639] Step 1:

[0640] The user enters basic information about themselves on the device. This information includes their name, date of birth, parents' names, and place of birth.

[0641] Step 2:

[0642] The terminal sends the entered user information to the server. Here, the terminal transfers the data using a secure communication method.

[0643] Step 3:

[0644] Based on the user information received by the server, it connects to multiple external databases, such as family register databases and historical databases, and searches for relevant information.

[0645] Step 4:

[0646] The server retrieves search results and performs analysis using AI technology. Natural language processing techniques are used to analyze lists and documents from the retrieved data, identifying related names and family relationships.

[0647] Step 5:

[0648] The server automatically generates a family tree based on the analysis results. It reconstructs the obtained information into a tree structure and creates data that visually represents the relationships between each ancestor.

[0649] Step 6:

[0650] The device receives family tree data sent from the server and displays it to the user in a visually clear format. The displayed family tree is visually easy to understand and may include interactive elements.

[0651] Step 7:

[0652] The server provides historical background information related to each ancestor included in the family tree. Users can access this information through their terminals to deepen their understanding of the historical context and lifestyle of that time.

[0653] Step 8:

[0654] Based on the user's experience, feedback requests for additional information are sent from the device to the server. For example, this might be the case if the user wants more detailed information about a particular ancestor.

[0655] Step 9:

[0656] The server receives user feedback, searches for and re-analyzes new data, and updates family trees and background information as needed.

[0657] (Example 1)

[0658] 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".

[0659] There are insufficient means for individuals to easily and quickly research their own ancestral information. Furthermore, the information available often lacks detail regarding the historical context and cultural aspects, making it difficult to deeply understand and experience one's own roots.

[0660] 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.

[0661] In this invention, the server includes a functional means for receiving personal information from a user, a processing means for searching for relevant information from multiple sources based on the received personal information, and a generation means for analyzing the information obtained from the sources to automatically generate a family tree. This makes it possible to efficiently investigate an individual's ancestry and generate a family tree that includes detailed historical background and cultural information.

[0662] "Means of receiving personal information from users" refers to a system for electronically receiving basic information entered by users, such as name, date of birth, parents' names, and place of birth.

[0663] "A processing method for retrieving relevant information from multiple sources based on received personal information" refers to a processing method for retrieving relevant data from various sources, such as family registers, historical documents, and online genealogical data, based on personal information obtained from users.

[0664] "A generation method that automatically generates a family tree by analyzing information obtained from information sources" refers to an automated process that uses AI technology to analyze collected information and structures the results as a family tree.

[0665] "Display means for providing the generated family tree to a display device" refers to a method for outputting the created family tree to a display device such as a terminal so that the user can view it.

[0666] "Optional means of providing historical context and cultural information based on the displayed family tree" refers to an additional function that provides users with additional historical background, lifestyle, and cultural information related to the ancestors shown in the family tree.

[0667] An "interactive interface means" refers to a user interface configuration that allows users to manipulate data such as family trees, obtain detailed information, and send information to a feedback system.

[0668] A "response feedback mechanism" is a process for receiving responses from users, such as requests for additional information or correction requests, and for collecting and searching for further data based on those responses.

[0669] "Analysis methods that utilize natural language processing techniques" refer to technical methods that use natural language processing in the process of analyzing acquired data to identify and structure the relationships between information and people.

[0670] This invention is a system for users to effectively research their own ancestral information and obtain a family tree that includes detailed historical and cultural information. A specific embodiment of the system is configured as follows:

[0671] First, the user enters personal information such as their name, date of birth, parents' names, and place of birth using their device. This basic information serves as the starting point for the system. The device verifies the information entered by the user, checks the format's integrity, and then encrypts the data before sending it to the server.

[0672] The server searches multiple databases based on the personal information it receives. These databases include family register databases, historical document databases, and online genealogy databases. The server collects useful data from these sources, removing duplicates to maintain data consistency.

[0673] Next, the server uses generative AI models and natural language processing techniques to analyze the collected data. This allows it to identify related individuals and family relationships and structure the data. Based on the information obtained, the server automatically generates a tree-structured family tree. The generated family tree is then laid out clearly using a dedicated image generation tool for visualization.

[0674] Finally, the server sends the generated family tree to the terminal and displays it to the user. The family tree is interactive, allowing the user to easily view detailed information about ancestors they are interested in. Information about the historical context and culture is also displayed alongside the family tree, allowing the user to deeply experience the historical context of their ancestors.

[0675] For example, if a user prompts for "I want to investigate my father's family history in detail," the system can search for information tracing back further based on the parents' information and reflect it in the family tree.

[0676] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0677] Step 1:

[0678] The user enters their basic information using the terminal. This information includes their name, date of birth, parents' names, and place of birth. The terminal receives this information, checks the format of the entered data, and notifies the user of format errors if necessary.

[0679] Step 2:

[0680] The terminal checks the integrity of the data, and after verification, securely transmits personal information to the server using encryption technology. Input data is transferred using a keyed connection, ensuring security during communication. The server then begins further processing based on this received information.

[0681] Step 3:

[0682] Based on the personal information it receives, the server sends queries to multiple sources to search for relevant ancestral information. These sources include family registers and online genealogy databases. The server efficiently collects data and formats the collected information for batch processing.

[0683] Step 4:

[0684] The server analyzes the collected information using generative AI models and natural language processing techniques. This analysis identifies the relationships and family structures between individuals in the data and reorganizes the data structure based on this information. The output is a structured dataset.

[0685] Step 5:

[0686] Based on the analysis results, the server uses an automated family tree generation tool to create a family tree. The generated family tree is organized into a tree structure for visual clarity. The output is formatted in a way that allows the user to intuitively manipulate it.

[0687] Step 6:

[0688] The server sends the generated family tree to the user's terminal, which then displays it. The user can view the family tree on their terminal and research detailed information about ancestors they are interested in. The user can also access historical and cultural information related to the family tree.

[0689] Step 7:

[0690] The user inputs requests for further information collection through feedback on the device. The device sends this feedback to the server, which collects new information and re-analyzes it. As a result, the family tree is updated and provided to the user.

[0691] (Application Example 1)

[0692] 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".

[0693] The present invention aims to provide a system that enables users to easily obtain individual family tree information and to deeply understand it within a historical context. Conventional family tree generation systems have difficulty linking with historical background and era information, making it difficult to effectively connect individual family tree data with exhibition content. To solve this problem, there is a need for a system that immediately links relevant family tree information with exhibition content when accessed by the user, thereby facilitating a deeper historical understanding.

[0694] 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.

[0695] In this invention, the server includes means for receiving personal information from a user, means for searching for relevant data from multiple databases based on the received information, means for analyzing the data and automatically generating a family tree, means for outputting the generated family tree to a visual display device, and means for linking the displayed family tree with related museum exhibits. This makes it possible for users to obtain their own family tree information using a terminal or smartphone and immediately gain a deeper understanding of history through related experiences.

[0696] A "user" is an individual or organization that uses the system to input personal information.

[0697] "Personal information" refers to basic data about the user, such as name, date of birth, and place of birth.

[0698] A "database" is a collection of information that stores historical data, such as family registers and historical documents.

[0699] "Analysis" is the process of structuring acquired data and extracting meaningful information.

[0700] A "family tree" is a diagram illustrating the relationships between a user's ancestors and relatives.

[0701] A "visual display device" refers to a device that allows users to visually confirm the generated family tree.

[0702] A "museum exhibit" is an informational display that visually presents historical background and culture.

[0703] "Linking" refers to the process of linking information in a family tree with the content of museum exhibits.

[0704] To implement this invention, the user first inputs personal information using a terminal or smartphone. This personal information includes name, date of birth, parents' names, and place of birth. This information is sent to the server as a starting point. The server accesses multiple databases and searches for relevant data based on the received personal information. Databases include family registers, historical documents, and online genealogical data.

[0705] The server uses natural language processing technology in the process of analyzing the acquired data. This allows it to extract relevant individuals and family relationships from the documents contained in the data and structure the information. Based on the analyzed information, the server automatically generates a family tree and outputs it to a visual display device as a tree structure that visualizes the relationships.

[0706] When a user views a family tree generated on a visual display device, the server establishes a link to museum exhibits based on the displayed family tree. This link allows users to effectively understand historical context and era information along with their family tree information. As a result, individual visitors to the museum can view their own family tree and learn more deeply about the culture and history of the era in which their family lived through the exhibits.

[0707] A concrete example is an experience where, upon visiting a museum, a user enters necessary personal information at an input terminal within the museum and is instantly able to view a family tree and related exhibits via a server. An example of a prompt message to the generating AI model would be, "Please provide the information needed to create the family tree: name, date of birth, parent information, etc." This prompt encourages the user to enter the necessary data.

[0708] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0709] Step 1:

[0710] Users enter personal information using a terminal or smartphone. This information includes name, date of birth, parents' names, and place of birth. This information is sent from the user's terminal to the server. Here, the entered personal information is treated as the system's initial data.

[0711] Step 2:

[0712] The server uses the received personal information to query various databases and retrieve relevant data. These databases include family registers and online genealogical data, from which the server obtains data about individuals and their relationships. The input is personal information, and the output is related data.

[0713] Step 3:

[0714] The server analyzes the acquired data using natural language processing techniques. It extracts and structures meaningful information such as names, dates, and family relationships from the documents contained in the acquired data. The input for this step is the search results data, and the output is the structured information.

[0715] Step 4:

[0716] The server generates a family tree based on structured information and prepares it as a tree-structured visual data. At this stage, a visual family tree is created and ready to be shown to the user. The input is structured information, and the output is the tree structure of the family tree.

[0717] Step 5:

[0718] The generated family tree is output to a visual display device, allowing the user to visually confirm it. Through the family tree, the user can understand direct and collateral relationships at a glance. The input is family tree data, and the output is a visual display.

[0719] Step 6:

[0720] The server links the displayed family tree with museum exhibits, providing additional historical context and period information. This link allows users to learn more about the historical information related to the family tree. Input is the family tree and exhibit information, and output is the linked information.

[0721] 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.

[0722] This invention is a system that combines AI and emotion recognition technology to support users in researching their ancestry. This system generates a family tree based on personal information provided by the user and not only provides historical background and era information, but also has the function of recognizing the user's emotions and optimizing the method of information provision.

[0723] First, the user enters their basic information into the device and sends it to the server. Based on this information, the server searches various databases for relevant data. The retrieved data is analyzed using AI technology, and the user's family tree is automatically generated. The family tree has a tree structure and is represented in a visually easy-to-understand format.

[0724] During the process of generating this family tree, the system uses an emotion recognition engine to detect the user's emotions. This engine can read emotions from the user's voice, facial expressions, and input style. For example, if the user shows positive emotions such as surprise or joy, the system can accordingly make the family tree display more vibrant or add interactive elements.

[0725] Furthermore, the server customizes the historical background and period information provided based on the emotion recognition results. For example, it can enhance the user's experience of reliving the past by adding more detailed cultural background and relevant event information about the era of their ancestors that the user has shown interest in. This process helps users gain a deeper understanding of the past and explore stories about their roots.

[0726] This system allows users not only to receive a family tree, but also to engage with their ancestral history through a visually and emotionally rich experience. Furthermore, the interactive information provided by the system is tailored to the user's interests, resulting in a more personalized experience.

[0727] Thus, the present invention, as an advanced information processing system equipped with an emotion engine, enables users to obtain more personalized information and provides an innovative means of deepening their understanding of family history.

[0728] The following describes the processing flow.

[0729] Step 1:

[0730] The user uses their device to enter basic information about themselves, such as their name, date of birth, and parents' names. The entered information is immediately sent to the server.

[0731] Step 2:

[0732] Based on the user information received by the server, it accesses multiple external databases, including family register data and historical records, to search for relevant information. Queries for efficient data retrieval are automatically generated at this stage.

[0733] Step 3:

[0734] The server analyzes acquired data using AI technology. Utilizing natural language processing, it extracts information about family relationships and ancestry from documents and records, and converts it into structured data.

[0735] Step 4:

[0736] The server automatically generates the user's family tree using the analysis results. The family tree is constructed as a tree structure, and the data is organized in a visually easy-to-understand format.

[0737] Step 5:

[0738] The emotion recognition engine evaluates the user's emotions. It analyzes the user's facial expressions and tone of voice through the device to determine their emotional state.

[0739] Step 6:

[0740] The server reflects the emotion recognition results and adjusts how the family tree is displayed. For example, if a positive emotion is detected, the family tree's colors and interactions are enhanced.

[0741] Step 7:

[0742] The server customizes the user's ancestral background and related historical information based on their emotions and sends it to the device. This emotion-based information delivery creates a more personalized experience.

[0743] Step 8:

[0744] The device displays information sent from the server to the user. Additional historical information is presented interactively along with the family tree, allowing the user to gain a deeper understanding of their roots.

[0745] Step 9:

[0746] Based on the user's experience through the system, feedback and requests for additional information are sent from the terminal to the server. This information is then incorporated into the system's database and used to provide information in the future.

[0747] (Example 2)

[0748] 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".

[0749] With the advancement of information technology, there is a growing need for individuals to research and deeply understand their ancestral history. However, existing genealogy generation systems only provide information and lack the flexibility to deliver information in a way that responds to the user's emotions. Furthermore, they do not adequately customize information based on user interests, making it difficult to provide a personalized experience. In addition, users have limited opportunities to intuitively understand the cultural background and atmosphere of past eras. These challenges need to be addressed effectively.

[0750] 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.

[0751] In this invention, the server includes means for receiving personal information from a user, means for retrieving relevant data from multiple sources based on the received personal information, means for analyzing the information obtained from the sources and automatically generating a genealogy, and means for detecting the user's emotions through emotion recognition and optimizing information provision. As a result, the user can gain a deep understanding of their past background in a way that suits their emotions and obtain a personalized information experience.

[0752] A "user" refers to anyone who uses a system to input personal information and utilizes the acquired information.

[0753] "Personal information" refers to information that identifies a specific person, such as a user's name, date of birth, and family relationships.

[0754] "Information sources" refer to multiple databases and information collections used to obtain data, such as government records, public genealogical databases, and online historical archives.

[0755] A "genealogy" is a diagram that visually represents the flow of a user's family lineage, expressing family connections and history.

[0756] "User device" refers to an electronic device used to display information and for user input.

[0757] "Past background" refers to historical or cultural information related to the user's lineage.

[0758] "Time information" refers to information about events that occurred during a specific era or period related to the user's ancestors or lineage.

[0759] "Emotion recognition" refers to technology that analyzes a user's voice, facial expressions, and other interactions to evaluate their emotional state.

[0760] "Emotion" refers to the feelings and psychological state that users experience when viewing genealogies.

[0761] "Optimizing information delivery" refers to improving the user experience by adjusting the content and format of the information displayed according to the user's emotions and interests.

[0762] The present invention will now describe embodiments for carrying out the present invention. The present invention is a system for assisting users in ancestry research, and combines AI and emotion recognition technology. This enables the provision of personalized information to the user.

[0763] First, the user enters their basic information using a device and sends it to the server. This device can be a regular computer or smartphone. The entered information includes personal information that can identify a specific person.

[0764] Next, the server receives the information sent by the user and searches multiple sources to collect relevant data. This search process utilizes database queries using SQL, and the sources include government records, public genealogical databases, and online historical archives.

[0765] The server analyzes the collected data using AI technology and automatically generates the user's family tree. This analysis uses a generative AI model written in a programming language such as Python. The generated family tree is visualized as a tree structure and displayed on the user's device.

[0766] This system uses an emotion recognition engine to optimize the content and format of the information displayed based on the user's emotions. Emotion recognition is performed by analyzing data such as the user's voice and facial expressions acquired through the device's camera and microphone. This makes it possible to understand the emotions the user feels towards the displayed information and personalize the information provided.

[0767] For example, if a user is interested in detailed information about their great-grandmother's era, they might type "I want to know more about the historical context of my great-grandmother's time" into the terminal. Through this prompt, the system can provide information, including detailed historical context, that meets the user's request.

[0768] This entire process allows users to gain a deep understanding of their ancestors' history and culture, while also enjoying an emotionally rich experience.

[0769] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0770] Step 1:

[0771] The user uses their device to input and submit their basic information. This creates personal data such as name, date of birth, and family relationships, which is then sent to the server. Specifically, the user enters information into a form and presses the "Submit" button. The input data is output as a data packet to be sent to the server.

[0772] Step 2:

[0773] The server accesses multiple sources to retrieve relevant data based on the basic information received from the user. Using the entered personal data, the server executes database queries to obtain relevant information. During this process, raw datasets obtained from the sources are output. Specifically, the server searches the database through SQL queries and retrieves the necessary records.

[0774] Step 3:

[0775] The server uses AI technology to analyze the retrieved data and automatically generates the user's family tree. The input consists of a dataset from the retrieved information sources. This data is analyzed, and the family tree is output as a tree structure composed of nodes and links. Specifically, it uses a Python library, which is a generative AI model, to process the data and create a visualization of the lineage.

[0776] Step 4:

[0777] The device acquires emotion recognition data when the user views a family tree. This includes emotional data such as the user's voice and facial expressions. The input uses real-time emotional data captured through the device's camera and microphone. This data is analyzed to output the user's emotional state. Specifically, the device captures facial expressions with the camera and records voice with the microphone.

[0778] Step 5:

[0779] The server optimizes information delivery based on emotional data transmitted from the terminal. The emotional recognition result serves as input, and based on that, it outputs information such as displaying customized historical background and era information in a red frame. Specifically, it applies a filter that emphasizes the rich parts of the information according to the user's emotional state.

[0780] Step 6:

[0781] Based on the output, users can further explore topics that interest them. For example, if a user wants to learn more about a specific historical period, they can enter the prompt "I want to learn more about my great-grandmother's historical period" into their terminal and obtain detailed information as a result. Specifically, the user can view the results on their terminal and expand the details by clicking further.

[0782] (Application Example 2)

[0783] 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".

[0784] Traditional genealogy systems have the drawback of being limited to one-way information provision to users, lacking the flexibility to respond to users' emotions and interests. Furthermore, they lacked visually rich elements to enhance the user experience, making it difficult for users to deepen their interest in genealogies.

[0785] 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.

[0786] In this invention, the server includes means for receiving personal information from a user, means for searching for relevant data from multiple databases based on the received personal information, means for analyzing the data obtained from the databases and automatically generating a family tree, means for displaying the generated family tree on an output device, means for providing historical background and era information based on the displayed family tree, means for analyzing the user's emotions using emotion recognition technology and optimizing the information provision method based on the analysis results, and means for visually providing information using a projection device that projects visual information to a specified location. This makes it possible to optimize information provision according to the user's emotions and to keep the user interested in the family tree through a visually interactive experience.

[0787] A "user" is an individual who provides personal information using this system and receives the generation of a family tree and related information.

[0788] "Personal information" refers to basic information provided by users, which is used as data to investigate past family lineage and historical background.

[0789] A "database" is a storage device for accumulating related information, enabling searches based on a user's personal information.

[0790] "Emotion recognition technology" is a technology that analyzes a user's voice, facial expressions, and input methods to determine their current emotional state.

[0791] A "projection device" is a device used to visually display information at a designated location, and is used to allow users to visually experience family trees and related information.

[0792] The system that implements this application starts when the user enters personal information into a terminal and sends it to a server. The server searches for relevant information from multiple databases based on the received personal information. This automatically generates a family tree. In generating the family tree, the acquired data is analyzed and represented in a visually easy-to-understand format with a tree structure. The user's family tree is presented through a device that displays it on a terminal or projection display.

[0793] This system further analyzes the user's emotions by applying emotion recognition technology. Specifically, it uses an emotion recognition engine to analyze the user's voice and facial expressions to determine their emotional state. This process utilizes emotion recognition software such as the Affectiva SDK. Furthermore, if the user shows interest or a positive response, the system flexibly optimizes how information is presented. For example, detailed historical background and relevant cultural information can be added.

[0794] Furthermore, the server uses a projection display to visually project information to designated locations. This provides users with a vivid and interactive experience. Such interaction can be realized, for example, as a guide robot that explores family history within the home. The robot interacts with the user while projecting necessary information onto tables and walls in the home.

[0795] As a concrete example of this system, if a user prompts with "Tell me some amazing facts about my family history," the system can sense the user's surprise through emotion recognition and visually present additional information and stories related to that fact. Alternatively, in response to a prompt such as "I want to know more about the context of this era," it can display additional detailed information about that period.

[0796] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0797] Step 1:

[0798] The user enters personal information using their device and sends it to the server. This includes basic information such as name, date of birth, and place of residence. This transmits the user's initial data to the server.

[0799] Step 2:

[0800] The server searches multiple databases for relevant data based on the received personal information. The search process is performed using SQL queries, and the output is information about ancestors collected from each database.

[0801] Step 3:

[0802] The server analyzes information retrieved from the database and automatically generates a family tree. AI technology is used here to arrange the data in a tree structure and visually construct the family tree. The output is the data of the constructed family tree.

[0803] Step 4:

[0804] The server uses an emotion recognition engine to analyze the user's emotions. Audio and video data are input from the user's terminal, and emotion recognition technology (e.g., Affectiva SDK) analyzes this data. The analysis results in the output of the user's emotional state.

[0805] Step 5:

[0806] The server optimizes the family tree and related information based on the user's emotional state and displays it on the terminal or projection device. For example, it adds color changes and animations to highlight information that the user has shown interest in. The output is a visually adjusted family tree and related information.

[0807] Step 6:

[0808] The server receives user feedback and updates the information accordingly. New prompts or questions are provided as input, and the server re-searches the appropriate databases to collect the necessary data. The output is the newly added information and the updated family tree.

[0809] Step 7:

[0810] The server uses a projection display to project visual information to a designated location. Depending on the user's location and the room environment, the information is displayed on walls or tables. This enhances the user experience and provides interactive visual information as output.

[0811] 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.

[0812] 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.

[0813] 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 robot 414.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] 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."

[0820] 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.

[0821] 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.

[0822] 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.

[0823] 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.

[0824] 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.

[0825] 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.

[0826] 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.

[0827] 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.

[0828] 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.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] The following is further disclosed regarding the embodiments described above.

[0833] (Claim 1)

[0834] Means of receiving personal information from users,

[0835] A means of searching for relevant data from multiple databases based on the received personal information,

[0836] A method for analyzing data obtained from a database and automatically generating a family tree,

[0837] A means of displaying the generated family tree on the user's terminal,

[0838] A means of providing historical background and period information based on the displayed family tree,

[0839] A system that includes this.

[0840] (Claim 2)

[0841] The system according to claim 1, further comprising means for receiving user feedback and for collecting and searching new data.

[0842] (Claim 3)

[0843] The system according to claim 1, further comprising means of using natural language processing techniques for analysis.

[0844] "Example 1"

[0845] (Claim 1)

[0846] A functional means for receiving personal information from users,

[0847] A processing means for retrieving relevant information from multiple sources based on received personal information,

[0848] A generation method that automatically generates a family tree by analyzing information obtained from information sources,

[0849] A display means that provides the generated family tree to a display device,

[0850] An optional means of providing historical context and cultural information based on the displayed family tree,

[0851] An interactive interface means,

[0852] A system that includes this.

[0853] (Claim 2)

[0854] The system according to claim 1, further comprising a response feedback means for receiving responses from users and for collecting and searching for new information.

[0855] (Claim 3)

[0856] The system according to claim 1, further comprising an analytical means that uses natural language processing technology for analysis.

[0857] "Application Example 1"

[0858] (Claim 1)

[0859] Means of receiving personal information from users,

[0860] A means of searching for relevant data from multiple databases based on the received personal information,

[0861] A method for analyzing data obtained from a database and automatically generating a family tree,

[0862] A means for outputting the generated family tree to a visual display device,

[0863] A means of linking the displayed family tree with related museum exhibits, providing historical background and information about the era,

[0864] A system that includes this.

[0865] (Claim 2)

[0866] The system according to claim 1, further comprising means for receiving individual family lineage data from a user interface to a terminal and providing new information in conjunction with the exhibit content.

[0867] (Claim 3)

[0868] The system according to claim 1, further comprising a means for using natural language processing techniques for analysis, structuring the data, and displaying it for visitors.

[0869] "Example 2 of combining an emotion engine"

[0870] (Claim 1)

[0871] Means of receiving personal information from users,

[0872] A means of searching for relevant data from multiple sources based on the personal information received,

[0873] A means of automatically generating a genealogy by analyzing information obtained from a source,

[0874] A means for displaying the generated genealogy on the user device,

[0875] A means of providing historical background and time information based on the displayed genealogy,

[0876] A means of detecting the user's emotions through emotion recognition and optimizing information provision,

[0877] A system that includes this.

[0878] (Claim 2)

[0879] The system according to claim 1, further comprising means for receiving user feedback and for collecting and searching for new information.

[0880] (Claim 3)

[0881] The system according to claim 1, further comprising means of using generative AI technology for analysis.

[0882] "Application example 2 when combining with an emotional engine"

[0883] (Claim 1)

[0884] Means of receiving personal information from users,

[0885] A means of searching for relevant data from multiple databases based on the received personal information,

[0886] A method for analyzing data obtained from a database and automatically generating a family tree,

[0887] A means for displaying the generated family tree on an output device,

[0888] A means of providing historical background and period information based on the displayed family tree,

[0889] A means for analyzing user emotions using emotion recognition technology and optimizing the information provision method based on the analysis results,

[0890] A means of providing information visually using a projection device that projects visual information to a designated location,

[0891] A system that includes this.

[0892] (Claim 2)

[0893] The system according to claim 1, further comprising means for receiving user feedback and for collecting and searching new data.

[0894] (Claim 3)

[0895] The system according to claim 1, further comprising means of using natural language processing techniques for analysis. [Explanation of Symbols]

[0896] 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. Means of receiving personal information from users, A means of searching for relevant data from multiple databases based on the received personal information, A method for analyzing data obtained from a database and automatically generating a family tree, A means for outputting the generated family tree to a visual display device, A means of linking the displayed family tree with related museum exhibits, providing historical background and information about the era, A system that includes this.

2. The system according to claim 1, further comprising means for receiving individual family lineage data from a terminal via a user interface and providing new information in conjunction with the exhibit content.

3. The system according to claim 1, further comprising a means for using natural language processing technology for analysis, structuring the data, and displaying it for visitors.

Images