system

Abstract

Provide a system. [Solution] A means for inputting a self-introduction; A means for analyzing the input self-introduction text using natural language processing technology and extracting key topics; means for generating bingo card items based on the extracted topics; means for transmitting the generated bingo card to a user terminal; A system including:

Description

[Technical Field]

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

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

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

[0004] Currently, there is a lack of systems that automatically generate bingo game items based on self-introductions, making it difficult to create a bingo game that all users can enjoy. In particular, conventional bingo games rely on random items, making it difficult to provide bingo cards that reflect the interests and characteristics of individual participants. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including a means for inputting a self-introduction of a user, a means for analyzing the input self-introduction using natural language processing technology and extracting main topics, a means for generating bingo card items based on the extracted topics, and a means for transmitting the generated bingo card to a user terminal. This allows for the generation of bingo cards that reflect the characteristics of each participant, making it possible to realize a bingo game that everyone can enjoy.

[0006] The "self-introduction" is text information in which the user describes his or her interests, characteristics, hobbies, etc.

[0007] A "user terminal" refers to a computer device, such as a smartphone or a personal computer, that a user operates and inputs information.

[0008] "Natural language processing technology" refers to the general technology that allows computers to analyze and understand human language, and includes processes such as tokenization and morphological analysis.

[0009] "Topic" refers to the main keywords or themes extracted from the input self-introduction text.

[0010] "Bingo card" refers to a card used in the game of bingo, a grid-like paper or digital display with specific items or values ​​written on it.

[0011] A "template" refers to a pre-designed framework or format for arranging elements according to a particular format or structure. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0013] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0016] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0017] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0018] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0020] [First embodiment]

[0021] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0022] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0023] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0025] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0028] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0032] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0033] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings. The present invention relates to a system for automatically generating bingo card items based on a user's self-introduction and transmitting the items to the user's terminal.

[0034] User Input

[0035] User: The user enters a self-introduction into the input field of the device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0036] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0037] Self-introduction analysis

[0038] Server: Receives and temporarily stores the self-introduction text. It then applies natural language processing techniques to analyze the text, tokenizing it and performing morphological analysis to extract key topics.

[0039] As a concrete example, from a self-introduction such as "I love traveling and I have a cat. Recently, I've also become interested in programming," topics such as "travel," "cats," and "programming" are extracted.

[0040] Topic storage and feature generation

[0041] Server: The extracted topics are stored in a database, and features and keywords corresponding to each topic are generated. For example, the topic "travel" is associated with features such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0042] Bingo Card Generation

[0043] Server: Generates bingo card items based on topics and features retrieved from the database. For example, it creates bingo items such as "travel lover," "cat owner," and "beginner in programming."

[0044] Server: Place the generated bingo items on the bingo card template to complete the bingo card.

[0045] Send Bingo Card

[0046] Server: Sends the generated bingo card to the user's terminal.

[0047] Terminal: The user terminal displays the received bingo card and allows the user to start the bingo game.

[0048] Specific examples

[0049] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0050] Extracted topics: "Music", "Guitar", "Movie"

[0051] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0052] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0053] Extracted topics: "Sports", "Soccer", "Travel"

[0054] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0055] In this way, the system analyzes the self-introductions of users to generate individually customized bingo cards, allowing each user to share their self-introductions in a fun way.

[0056] The processing flow will be explained below.

[0057] Step 1:

[0058] The user enters a self-introduction into an input field on the terminal. For example, the user enters, "I like traveling, I have a cat, and I've recently become interested in programming."

[0059] Step 2:

[0060] The device receives the self-introduction text entered by the user and sends it to the server using an HTTP POST request.

[0061] Step 3:

[0062] The server receives the self-introduction sent from the terminal and temporarily stores it.

[0063] Step 4:

[0064] The server analyzes the self-introduction using natural language processing technology. First, it tokenizes the self-introduction, and then performs morphological analysis to extract the main topics. For example, from the sentence "I love traveling and I have a cat. Lately I've also become interested in programming," it extracts keywords such as "travel," "cat," and "programming."

[0065] Step 5:

[0066] The server stores the extracted topics in a database. It generates a feature set for each topic, and sets features related to the "travel" topic, such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0067] Step 6:

[0068] The server generates each item on the bingo card based on the topics and characteristics retrieved from the database, such as "travel lover," "cat owner," and "beginner in programming."

[0069] Step 7:

[0070] The server places the generated bingo items on a prepared bingo card template to complete the bingo card.

[0071] Step 8:

[0072] The server sends the completed bingo card to the user's device. To send a bingo card customized for each user, a communication method such as HTTP POST or WebSocket is used.

[0073] Step 9:

[0074] The terminal receives the bingo card sent from the server and displays it, allowing the user to check the bingo card and start the bingo game.

[0075] In this way, by analyzing users' self-introductions and using the extracted topics to generate and distribute personalized bingo cards, a system is constructed that allows all participants to enjoy a bingo game.

[0076] Example 1

[0077] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0078] In conventional self-introduction methods, users simply enter a self-introduction text and then leave it as is. This lacks interactive elements that reflect the user's personality and hobbies, making interactions less smooth. Furthermore, since there is no way for users to interact with others in a game-like format based on their self-introduction text, it is difficult for users to build intimate relationships.

[0079] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0080] In this invention, the server includes means for a user to input a self-introduction, means for analyzing the input self-introduction and using natural language processing technology to extract main topics, means for generating bingo card items based on the extracted topics, means for transmitting the generated bingo card to a user terminal, and means for displaying the bingo card received by the user terminal. This enables an interactive bingo game based on the self-introduction, making it easier for users to interact with each other naturally.

[0081] "User" refers to an individual who uses this system to enter a self-introduction and receive a bingo card.

[0082] "Terminal" refers to an electronic device that allows a user to input a self-introduction and receive and display a bingo card, including a smartphone or personal computer.

[0083] "Self-introduction" refers to a text in which a user describes his or her hobbies, interests, etc.

[0084] "Natural language processing technology" refers to the technology of analyzing input text data and extracting key topics and information.

[0085] "Tokenization" refers to the process of breaking down text into words and phrases.

[0086] "Morphological analysis" refers to the process of grammatically analyzing the words and phrases that make up a sentence and understanding their meaning and relationships.

[0087] "Topics" refer to the main themes and keywords extracted from the self-introduction text.

[0088] "Bingo cards" refer to game-style cards generated based on extracted topics.

[0089] "Bingo items" refer to the contents of each cell placed on a bingo card.

[0090] "Template" refers to the basic framework or format for creating bingo cards.

[0091] The present invention will be described in detail below with reference to an embodiment thereof. The system includes a step in which a user inputs a self-introduction, and based on the self-introduction, automatically generates bingo card items and transmits them to the user's terminal.

[0092] Hardware and Software Configuration

[0093] The implementation of this system uses the following hardware and software:

[0094] Hardware: Servers (e.g., cloud computing services), user devices (e.g., smartphones, personal computers)

[0095] Software: Natural language processing technology (e.g., SpaCy, NLTK), databases (e.g., MySQL (registered trademark), PostgreSQL), generative AI models (e.g., GPT)

[0096] System processing overview

[0097] User Input

[0098] User: The user enters a self-introduction into the input field of their device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0099] Terminal: The terminal sends the self-introduction text entered by the user to the server via an HTTP request.

[0100] Self-introduction analysis

[0101] Server: The server receives the HTTP request and retrieves the self-introduction. Next, it temporarily stores this self-introduction and applies natural language processing techniques. Specifically, it uses SpaCy or a similar tool to tokenize the self-introduction and perform morphological analysis. For example, from a self-introduction such as "I love traveling and I have a cat. Lately I've also become interested in programming," it extracts topics such as "travel," "cats," and "programming."

[0102] Topic storage and feature generation

[0103] Server: The extracted topics are saved in the database. This saving process is performed using an SQL query. For example, the topic is saved in the format "INSERT INTO Topics (user_id, topic) VALUES (123, 'Travel')".

[0104] The server then generates features and keywords for each topic using a generative AI model and inputs prompts such as:

[0105] Prompt statement:

[0106] Generate features and keywords related to the topic "travel," such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0107] Bingo Card Generation

[0108] Server: Generates each item on the bingo card based on the topics and features retrieved from the database. Using a generative AI model, it uses prompts like the following:

[0109] Prompt statement:

[0110] Generate bingo card items based on the following topics: "Travel," "Cats," and "Programming."

[0111] The generated bingo items are placed in a bingo card template. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm new to programming" are placed in the cells of the template one by one.

[0112] Send Bingo Card

[0113] Server: Sends the generated bingo card to the user's device by returning the bingo card data as an HTTP response.

[0114] Terminal: The terminal displays the received bingo cards. Specifically, it renders the bingo cards using HTML and JavaScript (registered trademark), allowing the user to start the bingo game on the screen.

[0115] Specific examples

[0116] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0117] Extracted topics: "Music", "Guitar", "Movie"

[0118] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0119] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0120] Extracted topics: "Sports", "Soccer", "Travel"

[0121] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0122] In this way, the present system analyzes the user's self-introduction in detail, generates a customized bingo card, and provides it to the user.

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

[0124] Step 1:

[0125] User: The user enters a self-introduction into the input field of their device. For example, they might enter, "I love traveling, I have a cat, and I've recently become interested in programming."

[0126] Input: User's self-introduction

[0127] Output: Request to send self-introduction

[0128] Step 2:

[0129] Terminal: The terminal sends the self-introduction text entered by the user to the server via an HTTP request.

[0130] Input: User's self-introduction

[0131] Output: HTTP request to the server

[0132] Step 3:

[0133] Server: The server receives the HTTP request and retrieves the self-introduction. It then temporarily stores the self-introduction and applies natural language processing techniques to it. Specifically, it uses tools such as SpaCy to tokenize the self-introduction and perform morphological analysis.

[0134] Input: Self-introduction in HTTP request

[0135] Data processing: Tokenization and morphological analysis using SpaCy

[0136] Output: Extracted topics (e.g., "travel," "cats," "programming")

[0137] Step 4:

[0138] Server: Extracts major topics from the results of morphological analysis. Stores the extracted topics in a database. This storage process is performed using SQL queries.

[0139] Input: Topics resulting from morphological analysis

[0140] Data processing: Save topics to a database

[0141] Output: Saved topics

[0142] Step 5:

[0143] Server: Uses a generative AI model to generate features and keywords corresponding to each topic. Enter a prompt. For example, generate features and keywords related to the topic "travel." Examples include "overseas travel," "travel plans," and "how to choose a travel destination."

[0144] Input: Topic (e.g. "Travel")

[0145] Data processing: Generate features and keywords using generative AI models

[0146] Output: Generated features and keywords (e.g., "overseas travel" and "travel plans")

[0147] Step 6:

[0148] Server: Generates each bingo card item based on the topics retrieved from the database and the generated features. Uses a generative AI model and prompts. For example, "Generate bingo card items based on the following topics: 'Travel', 'Cats', and 'Programming'."

[0149] Input: Topics and Features

[0150] Data processing: Generate bingo items using a generative AI model

[0151] Output: Generated bingo items (e.g., "I love traveling," "I'm a cat owner," "I'm new to programming")

[0152] Step 7:

[0153] Server: Places the generated bingo items into the bingo card template. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm new to programming" are placed into the cells of the template in order.

[0154] Input: Generated Bingo items

[0155] Data processing: Placement on a bingo card template

[0156] Output: Completed Bingo card

[0157] Step 8:

[0158] Server: Sends the generated bingo card to the user's device by returning the bingo card data as an HTTP response.

[0159] Input: Completed Bingo card

[0160] Output: HTTP response to the user's device

[0161] Step 9:

[0162] Terminal: The terminal displays the received bingo cards. Specifically, it renders the bingo cards using HTML and JavaScript, allowing the user to start playing the bingo game on the screen.

[0163] Input: Bingo card data as an HTTP response

[0164] Output: Bingo cards displayed on the screen

[0165] (Application example 1)

[0166] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0167] In many brick-and-mortar stores today, communication between customers is difficult, and there is a need for mechanisms to lighten the store's atmosphere. Another issue is the lack of ways for customers to enjoyably interact with each other through self-introductions. Conventional methods make it difficult to create opportunities for customers to naturally talk with each other, and the store experience tends to become monotonous.

[0168] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0169] In this invention, the server includes means for inputting a self-introduction, means for analyzing the input self-introduction using natural language processing technology and extracting main topics, means for generating bingo card items based on the extracted topics, means for encouraging users to interact with each other in the store using the bingo card generated based on the self-introduction, and means for transmitting the generated bingo card to a user terminal. This enables customers in the store to easily introduce themselves to each other and deepen their interactions through the bingo game.

[0170] The "self-introduction" is text data in which the user describes his or her hobbies and interests.

[0171] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[0172] "Major topics" are specific keywords extracted from the self-introduction that represent the user's interests and concerns.

[0173] A "bingo card" is a grid of cards with specific items written on them that are used when playing the bingo game.

[0174] A "store" is a commercial facility for selling goods or providing services.

[0175] "Means for promoting interaction" are mechanisms that make it easier for users to communicate with each other.

[0176] A "user terminal" is an information processing device used by a user, and includes a smartphone, tablet, personal computer, and the like.

[0177] "Tokenization" is the process of dividing text into meaningful words or units.

[0178] "Morphological analysis" is a technique for breaking down text into the smallest grammatically meaningful units and clarifying the part of speech and meaning of each unit.

[0179] "Bingo items" are contents corresponding to each cell written on a bingo card, and are generated based on topics extracted from the self-introduction text.

[0180] A "template" refers to a framework that serves as a base for arranging the components of a bingo card.

[0181] The following describes in detail an embodiment of the present invention. This system includes a process for automatically generating bingo card items based on a user's self-introduction and transmitting the items to the user's terminal. Furthermore, it provides a means for promoting interaction between users within the store.

[0182] User Input

[0183] User: The user enters a self-introduction into the input field of the device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0184] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0185] Self-introduction analysis

[0186] Server: Receives the self-introduction and temporarily stores it. Next, natural language processing techniques are applied to analyze the self-introduction and extract the main topics. The self-introduction is tokenized and subjected to morphological analysis. For example, from a self-introduction such as "I love traveling and I have a cat. Lately I've also become interested in programming," topics such as "travel," "cats," and "programming" are extracted.

[0187] Topic storage and feature generation

[0188] Server: The extracted topics are stored in a database, and features and keywords corresponding to each topic are generated. For example, the topic "travel" is associated with features such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0189] Bingo Card Generation

[0190] Server: Generates each item on a bingo card based on the topics and characteristics obtained from the database. For example, it creates bingo items such as "travel lover," "cat owner," and "beginner in programming." The generated bingo items are placed on a bingo card template to complete the bingo card. It also provides a means to promote interaction based on the bingo card items so that users can use the bingo cards to deepen their interactions with each other within the store.

[0191] Send Bingo Card

[0192] Server: Sends the generated bingo card to the user's terminal.

[0193] Terminal: The user terminal displays the received bingo card, allowing the user to start the bingo game. In addition, it provides a promotional tool that makes it easier for users to share their self-introductions with other users in the store.

[0194] Specific examples

[0195] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0196] Extracted topics: "Music", "Guitar", "Movie"

[0197] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0198] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0199] Extracted topics: "Sports", "Soccer", "Travel"

[0200] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0201] Prompt Sentence Examples

[0202] "Self-introduction: 'I love traveling, I have a cat, and I've recently become interested in programming.' Based on this self-introduction, generate items for a 3x3 bingo card."

[0203] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0204] Step 1:

[0205] The user enters a self-introduction

[0206] The user enters a self-introduction into the input field on the terminal. This self-introduction becomes the initial input data for the system. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0207] Step 2:

[0208] The device sends a self-introduction to the server

[0209] The device sends the self-introduction text entered by the user to the server. This is done using a communication method such as an HTTP request. The entered self-introduction text is sent to the server in JSON format, and processing on the server begins.

[0210] Step 3:

[0211] The server temporarily saves your self-introduction

[0212] The server temporarily stores the received self-introduction in a database or memory. This ensures data integrity before subsequent natural language processing or analysis. The input is the user's self-introduction, and the output is the temporarily stored self-introduction data.

[0213] Step 4:

[0214] The server analyzes the self-introduction text using natural language processing technology.

[0215] The server uses natural language processing technology (e.g., Spacy, NLTK, etc.) to tokenize the self-introduction text and perform morphological analysis. The input is the self-introduction text, and the output contains the main topics as the analysis results. For example, topics such as "travel," "cats," and "programming" are extracted.

[0216] Step 5:

[0217] The server generates topic features and keywords

[0218] The server generates features and keywords corresponding to each topic based on the extracted topics. The input is the main topic, and the output is the features and keywords associated with each topic. For example, "travel" includes "overseas travel," "travel plans," and "how to choose a travel destination."

[0219] Step 6:

[0220] The server generates the bingo card items.

[0221] The server automatically generates bingo card items based on the generated features and keywords. The input is the features and keywords, and the output is the bingo items. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm a beginner at programming" can be generated.

[0222] Step 7:

[0223] The server places items on a bingo card template

[0224] The server places the generated bingo items into a template to complete a bingo card. The input is the bingo items, and the output is the completed bingo card, which follows a 3x3 grid or other layout format.

[0225] Step 8:

[0226] The server sends the bingo card to the user's device.

[0227] The server sends the generated bingo card to the user's terminal. The input is the bingo card, and the output is the bingo card data sent to the user's terminal. This can be done using HTTP responses or other communication methods.

[0228] Step 9:

[0229] The terminal displays the bingo card and the user starts the bingo game.

[0230] The terminal displays the received bingo card and allows the user to start a bingo game. The input is bingo card data and the output is the displayed bingo card. The user can use this bingo card to promote interaction with other users in the store.

[0231] Specific examples

[0232] Prompt Sentence Examples

[0233] "Self-introduction: 'I love traveling, I have a cat, and I've recently become interested in programming.' Based on this self-introduction, generate items for a 3x3 bingo card."

[0234] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0235] The following describes in detail an embodiment of the present invention. This system automatically generates bingo card items based on a user's self-introduction and transmits them to the user's terminal. In addition, it utilizes an emotion engine that recognizes the user's emotions to adjust the content of the bingo card.

[0236] User Input

[0237] User: The user enters a self-introduction into the input field of the device, for example, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[0238] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0239] Self-introduction analysis

[0240] Server: Receives and temporarily stores the self-introduction. Next, natural language processing techniques are applied to analyze the self-introduction, tokenizing it and performing morphological analysis to extract key topics. For example, from the sentence "Work has been busy and stressful lately, but I enjoy spending time with my family on the weekends," keywords such as "work," "stress," "weekend," and "family" are extracted.

[0241] emotion recognition

[0242] Server: Applying a sentiment engine to the extracted topics to recognize emotions. For example, recognizing negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family."

[0243] Topic storage and feature generation

[0244] Server: Based on the emotions recognized by the emotion engine, the topics are stored in a database. A feature set is generated for each topic, and features related to the "family" topic, such as "family trip," "family get-together," and "family event," are set. If a negative emotion is recognized, positive features that alleviate that emotion are added.

[0245] Bingo Card Generation

[0246] Server: Generates items on a bingo card based on topics and features retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "What to do on the weekend," and "With family."

[0247] Server: Place the generated bingo items on the prepared bingo card template to complete the bingo card.

[0248] Send Bingo Card

[0249] Server: Sends the completed bingo card to the user's device.

[0250] Terminal: The user terminal displays the received bingo card and allows the user to start the bingo game.

[0251] Specific examples

[0252] 1. User A's input: "Work has been busy and stressful lately, but I like spending time with my family on the weekends."

[0253] Extracted topics: "Work," "Stress," "Weekend," "Family"

[0254] Perceived emotions: Negative (stress), Positive (spending time with family)

[0255] Bingo items: "I love my job," "How to relieve stress," "Fun on the weekend," and "With family."

[0256] 2. User B's input: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I'm feeling a bit lonely."

[0257] Extracted topics: "music," "guitar," "movies," and "loneliness"

[0258] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[0259] Bingo items: "I love music," "I play guitar," "I love movies," and "I spend time with friends."

[0260] In this way, our system analyzes the user's self-introduction to extract key topics, and uses emotion recognition technology to evaluate the user's emotions, generating and delivering individually customized bingo cards. As a result, it is possible to provide a bingo game based on a more personal experience, allowing users to enjoy it even more.

[0261] The processing flow will be explained below.

[0262] Step 1:

[0263] The user enters a self-introduction into an input field on the terminal, for example, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[0264] Step 2:

[0265] The device sends the self-introduction text entered by the user to the server using an HTTP POST request.

[0266] Step 3:

[0267] The server receives the self-introduction sent from the terminal and temporarily stores it.

[0268] Step 4:

[0269] The server analyzes the self-introduction using natural language processing technology. First, it tokenizes the self-introduction, and then performs morphological analysis to extract the main topics. For example, from the sentence "I've been busy and stressed out lately at work, but I enjoy spending time with my family on the weekends," it extracts keywords such as "work," "stress," "weekend," and "family."

[0270] Step 5:

[0271] The server uses an emotion engine to recognize emotions for the extracted topics. It analyzes specific keywords and phrases and determines that "work" and "stress" indicate negative emotions, while "weekend" and "family" indicate positive emotions.

[0272] Step 6:

[0273] The server stores topics in a database based on the emotions recognized by the emotion engine. For positive emotions, features that reinforce those emotions are assigned, and for negative emotions, features that soften those emotions are assigned. For example, features related to the topic "family" include "family trip," "family gathering," and "family event."

[0274] Step 7:

[0275] The server generates each item on the bingo card based on the topics and features retrieved from the database, such as "I love my job," "How to relieve stress," "What to do on the weekend," and "With family."

[0276] Step 8:

[0277] The server places the generated bingo items on a prepared bingo card template to complete the bingo card.

[0278] Step 9:

[0279] The server sends the completed bingo card to the user's device. To send a bingo card customized for each user, a communication method such as HTTP POST or WebSocket is used.

[0280] Step 10:

[0281] The terminal receives the bingo card sent from the server and displays it, allowing the user to check the bingo card and start the bingo game.

[0282] In this way, by analyzing the user's self-introduction and combining it with emotion recognition technology, the system can generate and provide personalized bingo cards that reflect the user's emotions and interests.

[0283] Example 2

[0284] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0285] Conventional bingo card generation systems struggle to effectively analyze users' self-introductions and generate individually customized bingo cards. Furthermore, they are unable to recognize users' emotions and adjust the content of the bingo cards accordingly, which hinders the quality of the user experience. Furthermore, they do not fully utilize natural language processing technology, which means it takes a long time to extract key topics and recognize emotions.

[0286] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for inputting a self-introduction sentence, a means for analyzing the input self-introduction sentence using natural language processing technology and extracting main topics, a means for recognizing emotions based on the extracted topics, a means for storing the topics in a database based on the recognized emotions and generating a feature set, a means for generating bingo card items based on the generated topics and features and arranging them in a bingo card template, and a means for transmitting the generated bingo card to a user terminal. This makes it possible to generate and transmit an individually customized bingo card based on the user's self-introduction sentence.

[0287] The "self-introduction" is text that allows a user to write information about themselves and their current situation.

[0288] "Natural language processing technology" is a technology that allows computers to understand, analyze, and process human language.

[0289] "Topics" are the main keywords or subjects extracted from your self-introduction.

[0290] "Emotion recognition" is a technology that evaluates and classifies a user's emotions from input text.

[0291] A "database" is a system for efficiently storing and managing information.

[0292] A "feature set" is a collection of information related to an extracted topic.

[0293] A "bingo card" is a card on which multiple items are arranged and is used in a bingo game.

[0294] A "template" is a model that defines the basic structure and layout of a bingo card.

[0295] A "user terminal" refers to an electronic device that is directly operated by a user, and primarily includes personal computers and smartphones.

[0296] An embodiment of the present invention will be described in detail below. This system automatically generates bingo card items based on a user's self-introduction and sends them to the user's terminal. This system includes the processes of inputting a self-introduction, analyzing the self-introduction, recognizing emotions, saving topics and generating features, generating bingo cards, and sending bingo cards. These processes are implemented using software and hardware.

[0297] First, the user enters a self-introduction into the input field of the terminal. For example, "Work has been busy and stressful lately, but I like spending time with my family on the weekends." Examples of prompts that are used include "Please enter a self-introduction:" and "Tell us about your hobbies and recent activities:".

[0298] Next, the device sends the self-introduction text entered by the user to the server by using an HTTP POST request to send the self-introduction text to the specified endpoint on the server.

[0299] The server then receives the self-introduction and temporarily stores it in storage. It then analyzes the self-introduction using natural language processing techniques. Specifically, it uses Python's NLTK and spaCy libraries to perform tokenization and morphological analysis, extracting key topics such as "work," "stress," "weekend," and "family."

[0300] The server applies an emotion recognition engine to the topics extracted from the self-introduction text, using Google® Cloud's Natural Language API and IBM Watson®'s Tone Analyzer to recognize negative emotions, for example, from the keyword "stress," and positive emotions from the phrase "spending time with family."

[0301] Based on this, the server stores the topic in a database and generates a set of related features. For example, for the topic "family," features such as "family trip," "family get-together," and "family event" are set. If negative emotions are recognized, positive features that alleviate those emotions are also added.

[0302] The server generates each item on a bingo card based on the topics and characteristics retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "Fun things to do on the weekend," and "With family." The HTML template engine Jinja2 is used to place these items into an existing bingo card template.

[0303] Finally, the server sends the generated bingo card to the user's terminal, which displays the received bingo card and allows the user to start the bingo game.

[0304] For example, consider the following user input and its corresponding processing:

[0305] User A's input: "Work has been busy and stressful lately, but I love spending time with my family on the weekends."

[0306] Extracted topics: "Work," "Stress," "Weekend," "Family"

[0307] Perceived emotions: Negative (stress), Positive (spending time with family)

[0308] Generated bingo items: "I love my job," "How to relieve stress," "Fun on the weekend," and "With family."

[0309] User B typed: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I'm feeling a bit lonely."

[0310] Extracted topics: "music," "guitar," "movies," and "loneliness"

[0311] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[0312] Generated bingo items: "I like music," "I play guitar," "I love movies," and "I spend time with friends."

[0313] The system enhances the user experience by enabling the generation and delivery of individually customized bingo cards based on the user's biographical description.

[0314] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0315] Step 1: User Input

[0316] The user inputs a self-introduction into the input field of their device. For example, they input the text "I've been busy and stressed at work lately, but I like spending time with my family on the weekends." In this process, the user is presented with prompts such as "Please enter your self-introduction:" and "Tell us about your hobbies and recent activities:." The input data is natural language text.

[0317] Step 2: Submit your introduction

[0318] The device sends the self-introduction text entered by the user to the server by using an HTTP POST request to send the self-introduction text to the specified endpoint of the server. The input data is the self-introduction text and is sent to the server.

[0319] Step 3: Analyzing the self-introduction

[0320] The server receives the self-introduction and temporarily stores it in storage. Next, it performs natural language processing using Python's NLTK and spaCy libraries to tokenize and morphologically analyze the self-introduction. For example, a self-introduction such as "I've been busy and stressed lately at work, but I enjoy spending time with my family on the weekends" can be analyzed to extract major topics such as "work," "stress," "weekend," and "family." The input data is the self-introduction text, and the output data is a list of major topics.

[0321] Step 4: Emotion Recognition

[0322] The server applies an emotion recognition engine to the extracted topics, in this case using Google Cloud's Natural Language API or IBM Watson's Tone Analyzer. The emotion recognition engine evaluates the emotions associated with each topic, recognizing negative emotions from the keyword "stress" and positive emotions from the topic "spending time with family." The input data is a list of major topics, and the output data is a list of emotions associated with each topic.

[0323] Step 5: Topic storage and feature generation

[0324] The server stores topics in a database based on the emotions recognized by the emotion recognition engine. When storing, a feature set is generated for each topic. For example, features related to the topic "family" include "family trip," "family get-together," and "family event." If a negative emotion is recognized, positive features that alleviate that emotion are also added. The input data is a list of each topic and its emotion, and the output data is a database entry with the added feature set.

[0325] Step 6: Generate Bingo Cards

[0326] The server generates each item on a bingo card based on the topics and features retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "Fun things to do on the weekend," and "With family." Next, it places these items into an existing bingo card template using Jinja2, an HTML template engine, to complete the bingo card. The input data are database entries with the feature set added, and the output data is an HTML file of the bingo card.

[0327] Step 7: Send your bingo card

[0328] The server sends the completed bingo card to the user's device via HTTP protocol. The device displays the received bingo card and prepares the UI so that the user can start the bingo game. The input data is the bingo card HTML file, and the output is the displayed bingo card.

[0329] (Application example 2)

[0330] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0331] Conventional shopping experiences are not customized based on individual emotions and interests, making it difficult for users to find the products and benefits they truly desire. Furthermore, the lack of suggestions that respond to emotional changes makes it difficult to improve user satisfaction. Therefore, there is a need to improve user satisfaction by recognizing and analyzing user emotions and customizing the shopping experience based on those emotions.

[0332] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for inputting a self-introduction, a means for analyzing the self-introduction using natural language processing technology and extracting topics, a means for recognizing and analyzing emotions, a means for generating bingo card items based on the recognized emotions, and a means for transmitting the generated bingo card to the user terminal. This makes it possible to customize the shopping experience based on the user's emotions and interests.

[0333] The "self-introduction" is a sentence in which the user describes his / her interests, feelings, situation, etc.

[0334] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[0335] A "topic" is the main theme or keyword that appears in your self-introduction.

[0336] "Emotion recognition" is a technology that estimates a user's emotions from text data.

[0337] "Bingo card items" are specific tasks or themes that are placed on the squares in a bingo game.

[0338] A "user terminal" is an electronic device (e.g., a smartphone, tablet, etc.) that a user uses to input information and receive results.

[0339] A "template" is a pre-prepared layout or format for arranging items on a bingo card.

[0340] "Benefits" are rewards or services provided to users after completing a bingo card or achieving certain conditions.

[0341] The following describes in detail the mode for carrying out the present invention. This system mainly analyzes self-introductions, performs emotion recognition, and generates individually customized bingo cards based on the results, and provides them to users.

[0342] Hardware and software used

[0343] User devices: smartphones, tablets, computers, etc.

[0344] Server: A server that runs natural language processing technology and emotion recognition engines

[0345] Natural Language Processing (NLP): SpaCy

[0346] Emotion recognition: TextBlob

[0347] Specific processing of the system

[0348] User self-introduction input

[0349] A user uses their smartphone or other device to enter a self-introduction into the input field of the dedicated application. For example, they might enter, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[0350] Analysis of self-introductions

[0351] The device sends the self-introduction text that was entered to the server. The server receives the text, tokenizes it using natural language processing technology (SpaCy), and performs morphological analysis. For example, from the sentence "I've been busy with work lately and it's stressful, but I like spending time with my family on the weekends," keywords such as "work," "stress," "weekend," and "family" can be extracted.

[0352] emotion recognition

[0353] The server performs emotion recognition (TextBlob) on the extracted keywords. It recognizes negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family."

[0354] Bingo Card Generation

[0355] The server generates bingo card items based on the recognized emotions, such as "I love my job," "How to relieve stress," "Weekend fun," and "With family." The server then places the generated bingo items on a bingo card template to create a bingo card that the user can enjoy.

[0356] Send and display bingo cards

[0357] The completed bingo card is sent from the server to the user terminal, which displays the received bingo card and allows the user to start the bingo game.

[0358] Examples and prompts

[0359] For example, if a user enters the following self-description: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I feel a bit lonely.":

[0360] Extracted topics: "Music," "Guitar," "Movies," "Loneliness"

[0361] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[0362] Generated bingo items: "I like music," "I play guitar," "I love movies," and "I spend time with friends."

[0363] (Example of a prompt)

[0364] "Analyze the user's self-description and suggest appropriate bingo card items. Self-description: 'Work has been busy and stressful lately, but I like looking for new gadgets.'"

[0365] This system makes it possible to provide a customized shopping experience that takes into account the user's emotions and interests.

[0366] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0367] Step 1:

[0368] The user enters a self-introduction into the input field of the dedicated application. For example, they might enter, "I've been busy and stressed out lately at work, but I enjoy spending time with my family on the weekends." The input is temporarily saved as text data on the device.

[0369] Step 2:

[0370] The terminal transmits the saved self-introduction to the server. The terminal transfers the self-introduction text as input to the server and receives it.

[0371] Step 3:

[0372] The server uses natural language processing technology (SpaCy) to tokenize the received self-introduction text and perform morphological analysis. It then extracts key topics (keywords) from the text data. For example, from the sentence, "I've been busy at work lately and feeling stressed, but I enjoy spending time with my family on the weekends," it extracts keywords such as "work," "stress," "weekend," and "family."

[0373] Step 4:

[0374] The server inputs the extracted keywords into an emotion recognition engine (TextBlob) to determine the emotion associated with each keyword. For example, it recognizes negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family." The output is the correspondence between keywords and their emotions.

[0375] Step 5:

[0376] The server generates bingo card items based on the recognized emotions, such as "I love my job," "How to relieve stress," "Fun on the weekend," and "With family." A list of bingo card items is generated as output.

[0377] Step 6:

[0378] The server places the generated bingo items into a bingo card template, embeds each item in this template, and completes the final bingo card. A customized bingo card is generated as the output.

[0379] Step 7:

[0380] The completed bingo card is sent from the server to the user's terminal, which displays the received bingo card and allows the user to start the bingo game.

[0381] This series of processes makes it possible to provide a customized shopping experience based on the user's emotions and interests.

[0382] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0383] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0384] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0385] [Second embodiment]

[0386] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0387] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0388] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0389] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0390] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0391] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0392] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0393] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0394] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0395] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0396] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0397] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0398] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings. The present invention relates to a system for automatically generating bingo card items based on a user's self-introduction and transmitting the items to the user's terminal.

[0399] User Input

[0400] User: The user enters a self-introduction into the input field of the device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0401] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0402] Self-introduction analysis

[0403] Server: Receives and temporarily stores the self-introduction text. It then applies natural language processing techniques to analyze the text, tokenizing it and performing morphological analysis to extract key topics.

[0404] As a concrete example, from a self-introduction such as "I love traveling and I have a cat. Recently, I've also become interested in programming," topics such as "travel," "cats," and "programming" are extracted.

[0405] Topic storage and feature generation

[0406] Server: The extracted topics are stored in a database, and features and keywords corresponding to each topic are generated. For example, the topic "travel" is associated with features such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0407] Bingo Card Generation

[0408] Server: Generates bingo card items based on topics and features retrieved from the database. For example, it creates bingo items such as "travel lover," "cat owner," and "beginner in programming."

[0409] Server: Place the generated bingo items on the bingo card template to complete the bingo card.

[0410] Send Bingo Card

[0411] Server: Sends the generated bingo card to the user's terminal.

[0412] Terminal: The user terminal displays the received bingo card and allows the user to start the bingo game.

[0413] Specific examples

[0414] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0415] Extracted topics: "Music", "Guitar", "Movie"

[0416] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0417] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0418] Extracted topics: "Sports", "Soccer", "Travel"

[0419] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0420] In this way, the system analyzes the self-introductions of users to generate individually customized bingo cards, allowing each user to share their self-introductions in a fun way.

[0421] The processing flow will be explained below.

[0422] Step 1:

[0423] The user enters a self-introduction into an input field on the terminal. For example, the user enters, "I like traveling, I have a cat, and I've recently become interested in programming."

[0424] Step 2:

[0425] The device receives the self-introduction text entered by the user and sends it to the server using an HTTP POST request.

[0426] Step 3:

[0427] The server receives the self-introduction sent from the terminal and temporarily stores it.

[0428] Step 4:

[0429] The server analyzes the self-introduction using natural language processing technology. First, it tokenizes the self-introduction, and then performs morphological analysis to extract the main topics. For example, from the sentence "I love traveling and I have a cat. Lately I've also become interested in programming," it extracts keywords such as "travel," "cat," and "programming."

[0430] Step 5:

[0431] The server stores the extracted topics in a database. It generates a feature set for each topic, and sets features related to the "travel" topic, such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0432] Step 6:

[0433] The server generates each item on the bingo card based on the topics and characteristics retrieved from the database, such as "travel lover," "cat owner," and "beginner in programming."

[0434] Step 7:

[0435] The server places the generated bingo items on a prepared bingo card template to complete the bingo card.

[0436] Step 8:

[0437] The server sends the completed bingo card to the user's device. To send a bingo card customized for each user, a communication method such as HTTP POST or WebSocket is used.

[0438] Step 9:

[0439] The terminal receives the bingo card sent from the server and displays it, allowing the user to check the bingo card and start the bingo game.

[0440] In this way, by analyzing users' self-introductions and using the extracted topics to generate and distribute personalized bingo cards, a system is constructed that allows all participants to enjoy a bingo game.

[0441] Example 1

[0442] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0443] In conventional self-introduction methods, users simply enter a self-introduction text and then leave it as is. This lacks interactive elements that reflect the user's personality and hobbies, making interactions less smooth. Furthermore, since there is no way for users to interact with others in a game-like format based on their self-introduction text, it is difficult for users to build intimate relationships.

[0444] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0445] In this invention, the server includes means for a user to input a self-introduction, means for analyzing the input self-introduction and using natural language processing technology to extract main topics, means for generating bingo card items based on the extracted topics, means for transmitting the generated bingo card to a user terminal, and means for displaying the bingo card received by the user terminal. This enables an interactive bingo game based on the self-introduction, making it easier for users to interact with each other naturally.

[0446] "User" refers to an individual who uses this system to enter a self-introduction and receive a bingo card.

[0447] "Terminal" refers to an electronic device that allows a user to input a self-introduction and receive and display a bingo card, including a smartphone or personal computer.

[0448] "Self-introduction" refers to a text in which a user describes his or her hobbies, interests, etc.

[0449] "Natural language processing technology" refers to the technology of analyzing input text data and extracting key topics and information.

[0450] "Tokenization" refers to the process of breaking down text into words and phrases.

[0451] "Morphological analysis" refers to the process of grammatically analyzing the words and phrases that make up a sentence and understanding their meaning and relationships.

[0452] "Topics" refer to the main themes and keywords extracted from the self-introduction text.

[0453] "Bingo cards" refer to game-style cards generated based on extracted topics.

[0454] "Bingo items" refer to the contents of each cell placed on a bingo card.

[0455] "Template" refers to the basic framework or format for creating bingo cards.

[0456] The present invention will be described in detail below with reference to an embodiment thereof. The system includes a step in which a user inputs a self-introduction, and based on the self-introduction, automatically generates bingo card items and transmits them to the user's terminal.

[0457] Hardware and Software Configuration

[0458] The implementation of this system uses the following hardware and software:

[0459] Hardware: Servers (e.g., cloud computing services), user devices (e.g., smartphones, personal computers)

[0460] Software: Natural language processing technologies (e.g., SpaCy, NLTK), databases (e.g., MySQL, PostgreSQL), generative AI models (e.g., GPT)

[0461] System processing overview

[0462] User Input

[0463] User: The user enters a self-introduction into the input field of their device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0464] Terminal: The terminal sends the self-introduction text entered by the user to the server via an HTTP request.

[0465] Self-introduction analysis

[0466] Server: The server receives the HTTP request and retrieves the self-introduction. Next, it temporarily stores this self-introduction and applies natural language processing techniques. Specifically, it uses SpaCy or a similar tool to tokenize the self-introduction and perform morphological analysis. For example, from a self-introduction such as "I love traveling and I have a cat. Lately I've also become interested in programming," it extracts topics such as "travel," "cats," and "programming."

[0467] Topic storage and feature generation

[0468] Server: The extracted topics are saved in the database. This saving process is performed using an SQL query. For example, the topic is saved in the format "INSERT INTO Topics (user_id, topic) VALUES (123, 'Travel')".

[0469] The server then generates features and keywords for each topic using a generative AI model and inputs prompts such as:

[0470] Prompt statement:

[0471] Generate features and keywords related to the topic "travel," such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0472] Bingo Card Generation

[0473] Server: Generates each item on the bingo card based on the topics and features retrieved from the database. Using a generative AI model, it uses prompts like the following:

[0474] Prompt statement:

[0475] Generate bingo card items based on the following topics: "Travel," "Cats," and "Programming."

[0476] The generated bingo items are placed in a bingo card template. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm new to programming" are placed in the cells of the template one by one.

[0477] Send Bingo Card

[0478] Server: Sends the generated bingo card to the user's device by returning the bingo card data as an HTTP response.

[0479] Terminal: The terminal displays the received bingo cards. Specifically, it renders the bingo cards using HTML and JavaScript, allowing the user to start playing the bingo game on the screen.

[0480] Specific examples

[0481] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0482] Extracted topics: "Music", "Guitar", "Movie"

[0483] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0484] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0485] Extracted topics: "Sports", "Soccer", "Travel"

[0486] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0487] In this way, the present system analyzes the user's self-introduction in detail, generates a customized bingo card, and provides it to the user.

[0488] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0489] Step 1:

[0490] User: The user enters a self-introduction into the input field of their device. For example, they might enter, "I love traveling, I have a cat, and I've recently become interested in programming."

[0491] Input: User's self-introduction

[0492] Output: Request to send self-introduction

[0493] Step 2:

[0494] Terminal: The terminal sends the self-introduction text entered by the user to the server via an HTTP request.

[0495] Input: User's self-introduction

[0496] Output: HTTP request to the server

[0497] Step 3:

[0498] Server: The server receives the HTTP request and retrieves the self-introduction. It then temporarily stores the self-introduction and applies natural language processing techniques to it. Specifically, it uses tools such as SpaCy to tokenize the self-introduction and perform morphological analysis.

[0499] Input: Self-introduction in HTTP request

[0500] Data processing: Tokenization and morphological analysis using SpaCy

[0501] Output: Extracted topics (e.g., "travel," "cats," "programming")

[0502] Step 4:

[0503] Server: Extracts major topics from the results of morphological analysis. Stores the extracted topics in a database. This storage process is performed using SQL queries.

[0504] Input: Topics resulting from morphological analysis

[0505] Data processing: Save topics to a database

[0506] Output: Saved topics

[0507] Step 5:

[0508] Server: Uses a generative AI model to generate features and keywords corresponding to each topic. Enter a prompt. For example, generate features and keywords related to the topic "travel." Examples include "overseas travel," "travel plans," and "how to choose a travel destination."

[0509] Input: Topic (e.g. "Travel")

[0510] Data processing: Generate features and keywords using generative AI models

[0511] Output: Generated features and keywords (e.g., "overseas travel" and "travel plans")

[0512] Step 6:

[0513] Server: Generates each bingo card item based on the topics retrieved from the database and the generated features. Uses a generative AI model and prompts. For example, "Generate bingo card items based on the following topics: 'Travel', 'Cats', and 'Programming'."

[0514] Input: Topics and Features

[0515] Data processing: Generate bingo items using a generative AI model

[0516] Output: Generated bingo items (e.g., "I love traveling," "I'm a cat owner," "I'm new to programming")

[0517] Step 7:

[0518] Server: Places the generated bingo items into the bingo card template. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm new to programming" are placed into the cells of the template in order.

[0519] Input: Generated Bingo items

[0520] Data processing: Placement on a bingo card template

[0521] Output: Completed Bingo card

[0522] Step 8:

[0523] Server: Sends the generated bingo card to the user's device by returning the bingo card data as an HTTP response.

[0524] Input: Completed Bingo card

[0525] Output: HTTP response to the user's device

[0526] Step 9:

[0527] Terminal: The terminal displays the received bingo cards. Specifically, it renders the bingo cards using HTML and JavaScript, allowing the user to start playing the bingo game on the screen.

[0528] Input: Bingo card data as an HTTP response

[0529] Output: Bingo cards displayed on the screen

[0530] (Application example 1)

[0531] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0532] In many brick-and-mortar stores today, communication between customers is difficult, and there is a need for mechanisms to lighten the store's atmosphere. Another issue is the lack of ways for customers to enjoyably interact with each other through self-introductions. Conventional methods make it difficult to create opportunities for customers to naturally talk with each other, and the store experience tends to become monotonous.

[0533] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0534] In this invention, the server includes means for inputting a self-introduction, means for analyzing the input self-introduction using natural language processing technology and extracting main topics, means for generating bingo card items based on the extracted topics, means for encouraging users to interact with each other in the store using the bingo card generated based on the self-introduction, and means for transmitting the generated bingo card to a user terminal. This enables customers in the store to easily introduce themselves to each other and deepen their interactions through the bingo game.

[0535] The "self-introduction" is text data in which the user describes his or her hobbies and interests.

[0536] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[0537] "Major topics" are specific keywords extracted from the self-introduction that represent the user's interests and concerns.

[0538] A "bingo card" is a grid of cards with specific items written on them that are used when playing the bingo game.

[0539] A "store" is a commercial facility for selling goods or providing services.

[0540] "Means for promoting interaction" are mechanisms that make it easier for users to communicate with each other.

[0541] A "user terminal" is an information processing device used by a user, and includes a smartphone, tablet, personal computer, and the like.

[0542] "Tokenization" is the process of dividing text into meaningful words or units.

[0543] "Morphological analysis" is a technique for breaking down text into the smallest grammatically meaningful units and clarifying the part of speech and meaning of each unit.

[0544] "Bingo items" are contents corresponding to each cell written on a bingo card, and are generated based on topics extracted from the self-introduction text.

[0545] A "template" refers to a framework that serves as a base for arranging the components of a bingo card.

[0546] The following describes in detail an embodiment of the present invention. This system includes a process for automatically generating bingo card items based on a user's self-introduction and transmitting the items to the user's terminal. Furthermore, it provides a means for promoting interaction between users within the store.

[0547] User Input

[0548] User: The user enters a self-introduction into the input field of the device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0549] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0550] Self-introduction analysis

[0551] Server: Receives the self-introduction and temporarily stores it. Next, natural language processing techniques are applied to analyze the self-introduction and extract the main topics. The self-introduction is tokenized and subjected to morphological analysis. For example, from a self-introduction such as "I love traveling and I have a cat. Lately I've also become interested in programming," topics such as "travel," "cats," and "programming" are extracted.

[0552] Topic storage and feature generation

[0553] Server: The extracted topics are stored in a database, and features and keywords corresponding to each topic are generated. For example, the topic "travel" is associated with features such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0554] Bingo Card Generation

[0555] Server: Generates each item on a bingo card based on the topics and characteristics obtained from the database. For example, it creates bingo items such as "travel lover," "cat owner," and "beginner in programming." The generated bingo items are placed on a bingo card template to complete the bingo card. It also provides a means to promote interaction based on the bingo card items so that users can use the bingo cards to deepen their interactions with each other within the store.

[0556] Send Bingo Card

[0557] Server: Sends the generated bingo card to the user's terminal.

[0558] Terminal: The user terminal displays the received bingo card, allowing the user to start the bingo game. In addition, it provides a promotional tool that makes it easier for users to share their self-introductions with other users in the store.

[0559] Specific examples

[0560] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0561] Extracted topics: "Music", "Guitar", "Movie"

[0562] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0563] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0564] Extracted topics: "Sports", "Soccer", "Travel"

[0565] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0566] Prompt Sentence Examples

[0567] "Self-introduction: 'I love traveling, I have a cat, and I've recently become interested in programming.' Based on this self-introduction, generate items for a 3x3 bingo card."

[0568] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0569] Step 1:

[0570] The user enters a self-introduction

[0571] The user enters a self-introduction into the input field on the terminal. This self-introduction becomes the initial input data for the system. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0572] Step 2:

[0573] The device sends a self-introduction to the server

[0574] The device sends the self-introduction text entered by the user to the server. This is done using a communication method such as an HTTP request. The entered self-introduction text is sent to the server in JSON format, and processing on the server begins.

[0575] Step 3:

[0576] The server temporarily saves your self-introduction

[0577] The server temporarily stores the received self-introduction in a database or memory. This ensures data integrity before subsequent natural language processing or analysis. The input is the user's self-introduction, and the output is the temporarily stored self-introduction data.

[0578] Step 4:

[0579] The server analyzes the self-introduction text using natural language processing technology.

[0580] The server uses natural language processing technology (e.g., Spacy, NLTK, etc.) to tokenize the self-introduction text and perform morphological analysis. The input is the self-introduction text, and the output contains the main topics as the analysis results. For example, topics such as "travel," "cats," and "programming" are extracted.

[0581] Step 5:

[0582] The server generates topic features and keywords

[0583] The server generates features and keywords corresponding to each topic based on the extracted topics. The input is the main topic, and the output is the features and keywords associated with each topic. For example, "travel" includes "overseas travel," "travel plans," and "how to choose a travel destination."

[0584] Step 6:

[0585] The server generates the bingo card items.

[0586] The server automatically generates bingo card items based on the generated features and keywords. The input is the features and keywords, and the output is the bingo items. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm a beginner at programming" can be generated.

[0587] Step 7:

[0588] The server places items on a bingo card template

[0589] The server places the generated bingo items into a template to complete a bingo card. The input is the bingo items, and the output is the completed bingo card, which follows a 3x3 grid or other layout format.

[0590] Step 8:

[0591] The server sends the bingo card to the user's device.

[0592] The server sends the generated bingo card to the user's terminal. The input is the bingo card, and the output is the bingo card data sent to the user's terminal. This can be done using HTTP responses or other communication methods.

[0593] Step 9:

[0594] The terminal displays the bingo card and the user starts the bingo game.

[0595] The terminal displays the received bingo card and allows the user to start a bingo game. The input is bingo card data and the output is the displayed bingo card. The user can use this bingo card to promote interaction with other users in the store.

[0596] Specific examples

[0597] Prompt Sentence Examples

[0598] "Self-introduction: 'I love traveling, I have a cat, and I've recently become interested in programming.' Based on this self-introduction, generate items for a 3x3 bingo card."

[0599] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0600] The following describes in detail an embodiment of the present invention. This system automatically generates bingo card items based on a user's self-introduction and transmits them to the user's terminal. In addition, it utilizes an emotion engine that recognizes the user's emotions to adjust the content of the bingo card.

[0601] User Input

[0602] User: The user enters a self-introduction into the input field of the device, for example, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[0603] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0604] Self-introduction analysis

[0605] Server: Receives and temporarily stores the self-introduction. Next, natural language processing techniques are applied to analyze the self-introduction, tokenizing it and performing morphological analysis to extract key topics. For example, from the sentence "Work has been busy and stressful lately, but I enjoy spending time with my family on the weekends," keywords such as "work," "stress," "weekend," and "family" are extracted.

[0606] emotion recognition

[0607] Server: Applying a sentiment engine to the extracted topics to recognize emotions. For example, recognizing negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family."

[0608] Topic storage and feature generation

[0609] Server: Based on the emotions recognized by the emotion engine, the topics are stored in a database. A feature set is generated for each topic, and features related to the "family" topic, such as "family trip," "family get-together," and "family event," are set. If a negative emotion is recognized, positive features that alleviate that emotion are added.

[0610] Bingo Card Generation

[0611] Server: Generates items on a bingo card based on topics and features retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "What to do on the weekend," and "With family."

[0612] Server: Place the generated bingo items on the prepared bingo card template to complete the bingo card.

[0613] Send Bingo Card

[0614] Server: Sends the completed bingo card to the user's device.

[0615] Terminal: The user terminal displays the received bingo card and allows the user to start the bingo game.

[0616] Specific examples

[0617] 1. User A's input: "Work has been busy and stressful lately, but I like spending time with my family on the weekends."

[0618] Extracted topics: "Work," "Stress," "Weekend," "Family"

[0619] Perceived emotions: Negative (stress), Positive (spending time with family)

[0620] Bingo items: "I love my job," "How to relieve stress," "Fun on the weekend," and "With family."

[0621] 2. User B's input: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I'm feeling a bit lonely."

[0622] Extracted topics: "music," "guitar," "movies," and "loneliness"

[0623] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[0624] Bingo items: "I love music," "I play guitar," "I love movies," and "I spend time with friends."

[0625] In this way, our system analyzes the user's self-introduction to extract key topics, and uses emotion recognition technology to evaluate the user's emotions, generating and delivering individually customized bingo cards. As a result, it is possible to provide a bingo game based on a more personal experience, allowing users to enjoy it even more.

[0626] The processing flow will be explained below.

[0627] Step 1:

[0628] The user enters a self-introduction into an input field on the terminal, for example, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[0629] Step 2:

[0630] The device sends the self-introduction text entered by the user to the server using an HTTP POST request.

[0631] Step 3:

[0632] The server receives the self-introduction sent from the terminal and temporarily stores it.

[0633] Step 4:

[0634] The server analyzes the self-introduction using natural language processing technology. First, it tokenizes the self-introduction, and then performs morphological analysis to extract the main topics. For example, from the sentence "I've been busy and stressed out lately at work, but I enjoy spending time with my family on the weekends," it extracts keywords such as "work," "stress," "weekend," and "family."

[0635] Step 5:

[0636] The server uses an emotion engine to recognize emotions for the extracted topics. It analyzes specific keywords and phrases and determines that "work" and "stress" indicate negative emotions, while "weekend" and "family" indicate positive emotions.

[0637] Step 6:

[0638] The server stores topics in a database based on the emotions recognized by the emotion engine. For positive emotions, features that reinforce those emotions are assigned, and for negative emotions, features that soften those emotions are assigned. For example, features related to the topic "family" include "family trip," "family gathering," and "family event."

[0639] Step 7:

[0640] The server generates each item on the bingo card based on the topics and features retrieved from the database, such as "I love my job," "How to relieve stress," "What to do on the weekend," and "With family."

[0641] Step 8:

[0642] The server places the generated bingo items on a prepared bingo card template to complete the bingo card.

[0643] Step 9:

[0644] The server sends the completed bingo card to the user's device. To send a bingo card customized for each user, a communication method such as HTTP POST or WebSocket is used.

[0645] Step 10:

[0646] The terminal receives the bingo card sent from the server and displays it, allowing the user to check the bingo card and start the bingo game.

[0647] In this way, by analyzing the user's self-introduction and combining it with emotion recognition technology, the system can generate and provide personalized bingo cards that reflect the user's emotions and interests.

[0648] Example 2

[0649] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0650] Conventional bingo card generation systems struggle to effectively analyze users' self-introductions and generate individually customized bingo cards. Furthermore, they are unable to recognize users' emotions and adjust the content of the bingo cards accordingly, which hinders the quality of the user experience. Furthermore, they do not fully utilize natural language processing technology, which means it takes a long time to extract key topics and recognize emotions.

[0651] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for inputting a self-introduction sentence, a means for analyzing the input self-introduction sentence using natural language processing technology and extracting main topics, a means for recognizing emotions based on the extracted topics, a means for storing the topics in a database based on the recognized emotions and generating a feature set, a means for generating bingo card items based on the generated topics and features and arranging them in a bingo card template, and a means for transmitting the generated bingo card to a user terminal. This makes it possible to generate and transmit an individually customized bingo card based on the user's self-introduction sentence.

[0652] The "self-introduction" is text that allows a user to write information about themselves and their current situation.

[0653] "Natural language processing technology" is a technology that allows computers to understand, analyze, and process human language.

[0654] "Topics" are the main keywords or subjects extracted from your self-introduction.

[0655] "Emotion recognition" is a technology that evaluates and classifies a user's emotions from input text.

[0656] A "database" is a system for efficiently storing and managing information.

[0657] A "feature set" is a collection of information related to an extracted topic.

[0658] A "bingo card" is a card on which multiple items are arranged and is used in a bingo game.

[0659] A "template" is a model that defines the basic structure and layout of a bingo card.

[0660] A "user terminal" refers to an electronic device that is directly operated by a user, and primarily includes personal computers and smartphones.

[0661] An embodiment of the present invention will be described in detail below. This system automatically generates bingo card items based on a user's self-introduction and sends them to the user's terminal. This system includes the processes of inputting a self-introduction, analyzing the self-introduction, recognizing emotions, saving topics and generating features, generating bingo cards, and sending bingo cards. These processes are implemented using software and hardware.

[0662] First, the user enters a self-introduction into the input field of the terminal. For example, "Work has been busy and stressful lately, but I like spending time with my family on the weekends." Examples of prompts that are used include "Please enter a self-introduction:" and "Tell us about your hobbies and recent activities:".

[0663] Next, the device sends the self-introduction text entered by the user to the server by using an HTTP POST request to send the self-introduction text to the specified endpoint on the server.

[0664] The server then receives the self-introduction and temporarily stores it in storage. It then analyzes the self-introduction using natural language processing techniques. Specifically, it uses Python's NLTK and spaCy libraries to perform tokenization and morphological analysis, extracting key topics such as "work," "stress," "weekend," and "family."

[0665] The server then applies an emotion recognition engine to the topics extracted from the self-introduction, using Google Cloud's Natural Language API and IBM Watson's Tone Analyzer to recognize negative emotions, such as the keyword "stress," and positive emotions, such as the phrase "spending time with family."

[0666] Based on this, the server stores the topic in a database and generates a set of related features. For example, for the topic "family," features such as "family trip," "family get-together," and "family event" are set. If negative emotions are recognized, positive features that alleviate those emotions are also added.

[0667] The server generates each item on a bingo card based on the topics and characteristics retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "Fun things to do on the weekend," and "With family." The HTML template engine Jinja2 is used to place these items into an existing bingo card template.

[0668] Finally, the server sends the generated bingo card to the user's terminal, which displays the received bingo card and allows the user to start the bingo game.

[0669] For example, consider the following user input and its corresponding processing:

[0670] User A's input: "Work has been busy and stressful lately, but I love spending time with my family on the weekends."

[0671] Extracted topics: "Work," "Stress," "Weekend," "Family"

[0672] Perceived emotions: Negative (stress), Positive (spending time with family)

[0673] Generated bingo items: "I love my job," "How to relieve stress," "Fun on the weekend," and "With family."

[0674] User B typed: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I'm feeling a bit lonely."

[0675] Extracted topics: "music," "guitar," "movies," and "loneliness"

[0676] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[0677] Generated bingo items: "I like music," "I play guitar," "I love movies," and "I spend time with friends."

[0678] The system enhances the user experience by enabling the generation and delivery of individually customized bingo cards based on the user's biographical description.

[0679] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0680] Step 1: User Input

[0681] The user inputs a self-introduction into the input field of their device. For example, they input the text "I've been busy and stressed at work lately, but I like spending time with my family on the weekends." In this process, the user is presented with prompts such as "Please enter your self-introduction:" and "Tell us about your hobbies and recent activities:." The input data is natural language text.

[0682] Step 2: Submit your introduction

[0683] The device sends the self-introduction text entered by the user to the server by using an HTTP POST request to send the self-introduction text to the specified endpoint of the server. The input data is the self-introduction text and is sent to the server.

[0684] Step 3: Analyzing the self-introduction

[0685] The server receives the self-introduction and temporarily stores it in storage. Next, it performs natural language processing using Python's NLTK and spaCy libraries to tokenize and morphologically analyze the self-introduction. For example, a self-introduction such as "I've been busy and stressed lately at work, but I enjoy spending time with my family on the weekends" can be analyzed to extract major topics such as "work," "stress," "weekend," and "family." The input data is the self-introduction text, and the output data is a list of major topics.

[0686] Step 4: Emotion Recognition

[0687] The server applies an emotion recognition engine to the extracted topics, in this case using Google Cloud's Natural Language API or IBM Watson's Tone Analyzer. The emotion recognition engine evaluates the emotions associated with each topic, recognizing negative emotions from the keyword "stress" and positive emotions from the topic "spending time with family." The input data is a list of major topics, and the output data is a list of emotions associated with each topic.

[0688] Step 5: Topic storage and feature generation

[0689] The server stores topics in a database based on the emotions recognized by the emotion recognition engine. When storing, a feature set is generated for each topic. For example, features related to the topic "family" include "family trip," "family get-together," and "family event." If a negative emotion is recognized, positive features that alleviate that emotion are also added. The input data is a list of each topic and its emotion, and the output data is a database entry with the added feature set.

[0690] Step 6: Generate Bingo Cards

[0691] The server generates each item on a bingo card based on the topics and features retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "Fun things to do on the weekend," and "With family." Next, it places these items into an existing bingo card template using Jinja2, an HTML template engine, to complete the bingo card. The input data are database entries with the feature set added, and the output data is an HTML file of the bingo card.

[0692] Step 7: Send your bingo card

[0693] The server sends the completed bingo card to the user's device via HTTP protocol. The device displays the received bingo card and prepares the UI so that the user can start the bingo game. The input data is the bingo card HTML file, and the output is the displayed bingo card.

[0694] (Application example 2)

[0695] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0696] Conventional shopping experiences are not customized based on individual emotions and interests, making it difficult for users to find the products and benefits they truly desire. Furthermore, the lack of suggestions that respond to emotional changes makes it difficult to improve user satisfaction. Therefore, there is a need to improve user satisfaction by recognizing and analyzing user emotions and customizing the shopping experience based on those emotions.

[0697] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for inputting a self-introduction, a means for analyzing the self-introduction using natural language processing technology and extracting topics, a means for recognizing and analyzing emotions, a means for generating bingo card items based on the recognized emotions, and a means for transmitting the generated bingo card to the user terminal. This makes it possible to customize the shopping experience based on the user's emotions and interests.

[0698] The "self-introduction" is a sentence in which the user describes his / her interests, feelings, situation, etc.

[0699] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[0700] A "topic" is the main theme or keyword that appears in your self-introduction.

[0701] "Emotion recognition" is a technology that estimates a user's emotions from text data.

[0702] "Bingo card items" are specific tasks or themes that are placed on the squares in a bingo game.

[0703] A "user terminal" is an electronic device (e.g., a smartphone, tablet, etc.) that a user uses to input information and receive results.

[0704] A "template" is a pre-prepared layout or format for arranging items on a bingo card.

[0705] "Benefits" are rewards or services provided to users after completing a bingo card or achieving certain conditions.

[0706] The following describes in detail the mode for carrying out the present invention. This system mainly analyzes self-introductions, performs emotion recognition, and generates individually customized bingo cards based on the results, and provides them to users.

[0707] Hardware and software used

[0708] User devices: smartphones, tablets, computers, etc.

[0709] Server: A server that runs natural language processing technology and emotion recognition engines

[0710] Natural Language Processing (NLP): SpaCy

[0711] Emotion recognition: TextBlob

[0712] Specific processing of the system

[0713] User self-introduction input

[0714] A user uses their smartphone or other device to enter a self-introduction into the input field of the dedicated application. For example, they might enter, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[0715] Analysis of self-introductions

[0716] The device sends the self-introduction text that was entered to the server. The server receives the text, tokenizes it using natural language processing technology (SpaCy), and performs morphological analysis. For example, from the sentence "I've been busy with work lately and it's stressful, but I like spending time with my family on the weekends," keywords such as "work," "stress," "weekend," and "family" can be extracted.

[0717] emotion recognition

[0718] The server performs emotion recognition (TextBlob) on the extracted keywords. It recognizes negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family."

[0719] Bingo Card Generation

[0720] The server generates bingo card items based on the recognized emotions, such as "I love my job," "How to relieve stress," "Weekend fun," and "With family." The server then places the generated bingo items on a bingo card template to create a bingo card that the user can enjoy.

[0721] Send and display bingo cards

[0722] The completed bingo card is sent from the server to the user terminal, which displays the received bingo card and allows the user to start the bingo game.

[0723] Examples and prompts

[0724] For example, if a user enters the following self-description: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I feel a bit lonely.":

[0725] Extracted topics: "Music," "Guitar," "Movies," "Loneliness"

[0726] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[0727] Generated bingo items: "I like music," "I play guitar," "I love movies," and "I spend time with friends."

[0728] (Example of a prompt)

[0729] "Analyze the user's self-description and suggest appropriate bingo card items. Self-description: 'Work has been busy and stressful lately, but I like looking for new gadgets.'"

[0730] This system makes it possible to provide a customized shopping experience that takes into account the user's emotions and interests.

[0731] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0732] Step 1:

[0733] The user enters a self-introduction into the input field of the dedicated application. For example, they might enter, "I've been busy and stressed out lately at work, but I enjoy spending time with my family on the weekends." The input is temporarily saved as text data on the device.

[0734] Step 2:

[0735] The terminal transmits the saved self-introduction to the server. The terminal transfers the self-introduction text as input to the server and receives it.

[0736] Step 3:

[0737] The server uses natural language processing technology (SpaCy) to tokenize the received self-introduction text and perform morphological analysis. It then extracts key topics (keywords) from the text data. For example, from the sentence, "I've been busy at work lately and feeling stressed, but I enjoy spending time with my family on the weekends," it extracts keywords such as "work," "stress," "weekend," and "family."

[0738] Step 4:

[0739] The server inputs the extracted keywords into an emotion recognition engine (TextBlob) to determine the emotion associated with each keyword. For example, it recognizes negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family." The output is the correspondence between keywords and their emotions.

[0740] Step 5:

[0741] The server generates bingo card items based on the recognized emotions, such as "I love my job," "How to relieve stress," "Fun on the weekend," and "With family." A list of bingo card items is generated as output.

[0742] Step 6:

[0743] The server places the generated bingo items into a bingo card template, embeds each item in this template, and completes the final bingo card. A customized bingo card is generated as the output.

[0744] Step 7:

[0745] The completed bingo card is sent from the server to the user's terminal, which displays the received bingo card and allows the user to start the bingo game.

[0746] This series of processes makes it possible to provide a customized shopping experience based on the user's emotions and interests.

[0747] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0748] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0749] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0750] [Third embodiment]

[0751] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0752] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0753] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0754] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0755] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0756] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0757] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0758] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0759] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0760] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0761] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0762] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0763] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings. The present invention relates to a system for automatically generating bingo card items based on a user's self-introduction and transmitting the items to the user's terminal.

[0764] User Input

[0765] User: The user enters a self-introduction into the input field of the device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0766] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0767] Self-introduction analysis

[0768] Server: Receives and temporarily stores the self-introduction text. It then applies natural language processing techniques to analyze the text, tokenizing it and performing morphological analysis to extract key topics.

[0769] As a concrete example, from a self-introduction such as "I love traveling and I have a cat. Recently, I've also become interested in programming," topics such as "travel," "cats," and "programming" are extracted.

[0770] Topic storage and feature generation

[0771] Server: The extracted topics are stored in a database, and features and keywords corresponding to each topic are generated. For example, the topic "travel" is associated with features such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0772] Bingo Card Generation

[0773] Server: Generates bingo card items based on topics and features retrieved from the database. For example, it creates bingo items such as "travel lover," "cat owner," and "beginner in programming."

[0774] Server: Place the generated bingo items on the bingo card template to complete the bingo card.

[0775] Send Bingo Card

[0776] Server: Sends the generated bingo card to the user's terminal.

[0777] Terminal: The user terminal displays the received bingo card and allows the user to start the bingo game.

[0778] Specific examples

[0779] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0780] Extracted topics: "Music", "Guitar", "Movie"

[0781] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0782] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0783] Extracted topics: "Sports", "Soccer", "Travel"

[0784] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0785] In this way, the system analyzes the self-introductions of users to generate individually customized bingo cards, allowing each user to share their self-introductions in a fun way.

[0786] The processing flow will be explained below.

[0787] Step 1:

[0788] The user enters a self-introduction into an input field on the terminal. For example, the user enters, "I like traveling, I have a cat, and I've recently become interested in programming."

[0789] Step 2:

[0790] The device receives the self-introduction text entered by the user and sends it to the server using an HTTP POST request.

[0791] Step 3:

[0792] The server receives the self-introduction sent from the terminal and temporarily stores it.

[0793] Step 4:

[0794] The server analyzes the self-introduction using natural language processing technology. First, it tokenizes the self-introduction, and then performs morphological analysis to extract the main topics. For example, from the sentence "I love traveling and I have a cat. Lately I've also become interested in programming," it extracts keywords such as "travel," "cat," and "programming."

[0795] Step 5:

[0796] The server stores the extracted topics in a database. It generates a feature set for each topic, and sets features related to the "travel" topic, such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0797] Step 6:

[0798] The server generates each item on the bingo card based on the topics and characteristics retrieved from the database, such as "travel lover," "cat owner," and "beginner in programming."

[0799] Step 7:

[0800] The server places the generated bingo items on a prepared bingo card template to complete the bingo card.

[0801] Step 8:

[0802] The server sends the completed bingo card to the user's device. To send a bingo card customized for each user, a communication method such as HTTP POST or WebSocket is used.

[0803] Step 9:

[0804] The terminal receives the bingo card sent from the server and displays it, allowing the user to check the bingo card and start the bingo game.

[0805] In this way, by analyzing users' self-introductions and using the extracted topics to generate and distribute personalized bingo cards, a system is constructed that allows all participants to enjoy a bingo game.

[0806] Example 1

[0807] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0808] In conventional self-introduction methods, users simply enter a self-introduction text and then leave it as is. This lacks interactive elements that reflect the user's personality and hobbies, making interactions less smooth. Furthermore, since there is no way for users to interact with others in a game-like format based on their self-introduction text, it is difficult for users to build intimate relationships.

[0809] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0810] In this invention, the server includes means for a user to input a self-introduction, means for analyzing the input self-introduction and using natural language processing technology to extract main topics, means for generating bingo card items based on the extracted topics, means for transmitting the generated bingo card to a user terminal, and means for displaying the bingo card received by the user terminal. This enables an interactive bingo game based on the self-introduction, making it easier for users to interact with each other naturally.

[0811] "User" refers to an individual who uses this system to enter a self-introduction and receive a bingo card.

[0812] "Terminal" refers to an electronic device that allows a user to input a self-introduction and receive and display a bingo card, including a smartphone or personal computer.

[0813] "Self-introduction" refers to a text in which a user describes his or her hobbies, interests, etc.

[0814] "Natural language processing technology" refers to the technology of analyzing input text data and extracting key topics and information.

[0815] "Tokenization" refers to the process of breaking down text into words and phrases.

[0816] "Morphological analysis" refers to the process of grammatically analyzing the words and phrases that make up a sentence and understanding their meaning and relationships.

[0817] "Topics" refer to the main themes and keywords extracted from the self-introduction text.

[0818] "Bingo cards" refer to game-style cards generated based on extracted topics.

[0819] "Bingo items" refer to the contents of each cell placed on a bingo card.

[0820] "Template" refers to the basic framework or format for creating bingo cards.

[0821] The present invention will be described in detail below with reference to an embodiment thereof. The system includes a step in which a user inputs a self-introduction, and based on the self-introduction, automatically generates bingo card items and transmits them to the user's terminal.

[0822] Hardware and Software Configuration

[0823] The implementation of this system uses the following hardware and software:

[0824] Hardware: Servers (e.g., cloud computing services), user devices (e.g., smartphones, personal computers)

[0825] Software: Natural language processing technologies (e.g., SpaCy, NLTK), databases (e.g., MySQL, PostgreSQL), generative AI models (e.g., GPT)

[0826] System processing overview

[0827] User Input

[0828] User: The user enters a self-introduction into the input field of their device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0829] Terminal: The terminal sends the self-introduction text entered by the user to the server via an HTTP request.

[0830] Self-introduction analysis

[0831] Server: The server receives the HTTP request and retrieves the self-introduction. Next, it temporarily stores this self-introduction and applies natural language processing techniques. Specifically, it uses SpaCy or a similar tool to tokenize the self-introduction and perform morphological analysis. For example, from a self-introduction such as "I love traveling and I have a cat. Lately I've also become interested in programming," it extracts topics such as "travel," "cats," and "programming."

[0832] Topic storage and feature generation

[0833] Server: The extracted topics are saved in the database. This saving process is performed using an SQL query. For example, the topic is saved in the format "INSERT INTO Topics (user_id, topic) VALUES (123, 'Travel')".

[0834] The server then generates features and keywords for each topic using a generative AI model and inputs prompts such as:

[0835] Prompt statement:

[0836] Generate features and keywords related to the topic "travel," such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0837] Bingo Card Generation

[0838] Server: Generates each item on the bingo card based on the topics and features retrieved from the database. Using a generative AI model, it uses prompts like the following:

[0839] Prompt statement:

[0840] Generate bingo card items based on the following topics: "Travel," "Cats," and "Programming."

[0841] The generated bingo items are placed in a bingo card template. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm new to programming" are placed in the cells of the template one by one.

[0842] Send Bingo Card

[0843] Server: Sends the generated bingo card to the user's device by returning the bingo card data as an HTTP response.

[0844] Terminal: The terminal displays the received bingo cards. Specifically, it renders the bingo cards using HTML and JavaScript, allowing the user to start playing the bingo game on the screen.

[0845] Specific examples

[0846] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0847] Extracted topics: "Music", "Guitar", "Movie"

[0848] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0849] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0850] Extracted topics: "Sports", "Soccer", "Travel"

[0851] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0852] In this way, the present system analyzes the user's self-introduction in detail, generates a customized bingo card, and provides it to the user.

[0853] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0854] Step 1:

[0855] User: The user enters a self-introduction into the input field of their device. For example, they might enter, "I love traveling, I have a cat, and I've recently become interested in programming."

[0856] Input: User's self-introduction

[0857] Output: Request to send self-introduction

[0858] Step 2:

[0859] Terminal: The terminal sends the self-introduction text entered by the user to the server via an HTTP request.

[0860] Input: User's self-introduction

[0861] Output: HTTP request to the server

[0862] Step 3:

[0863] Server: The server receives the HTTP request and retrieves the self-introduction. It then temporarily stores the self-introduction and applies natural language processing techniques to it. Specifically, it uses tools such as SpaCy to tokenize the self-introduction and perform morphological analysis.

[0864] Input: Self-introduction in HTTP request

[0865] Data processing: Tokenization and morphological analysis using SpaCy

[0866] Output: Extracted topics (e.g., "travel," "cats," "programming")

[0867] Step 4:

[0868] Server: Extracts major topics from the results of morphological analysis. Stores the extracted topics in a database. This storage process is performed using SQL queries.

[0869] Input: Topics resulting from morphological analysis

[0870] Data processing: Save topics to a database

[0871] Output: Saved topics

[0872] Step 5:

[0873] Server: Uses a generative AI model to generate features and keywords corresponding to each topic. Enter a prompt. For example, generate features and keywords related to the topic "travel." Examples include "overseas travel," "travel plans," and "how to choose a travel destination."

[0874] Input: Topic (e.g. "Travel")

[0875] Data processing: Generate features and keywords using generative AI models

[0876] Output: Generated features and keywords (e.g., "overseas travel" and "travel plans")

[0877] Step 6:

[0878] Server: Generates each bingo card item based on the topics retrieved from the database and the generated features. Uses a generative AI model and prompts. For example, "Generate bingo card items based on the following topics: 'Travel', 'Cats', and 'Programming'."

[0879] Input: Topics and Features

[0880] Data processing: Generate bingo items using a generative AI model

[0881] Output: Generated bingo items (e.g., "I love traveling," "I'm a cat owner," "I'm new to programming")

[0882] Step 7:

[0883] Server: Places the generated bingo items into the bingo card template. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm new to programming" are placed into the cells of the template in order.

[0884] Input: Generated Bingo items

[0885] Data processing: Placement on a bingo card template

[0886] Output: Completed Bingo card

[0887] Step 8:

[0888] Server: Sends the generated bingo card to the user's device by returning the bingo card data as an HTTP response.

[0889] Input: Completed Bingo card

[0890] Output: HTTP response to the user's device

[0891] Step 9:

[0892] Terminal: The terminal displays the received bingo cards. Specifically, it renders the bingo cards using HTML and JavaScript, allowing the user to start playing the bingo game on the screen.

[0893] Input: Bingo card data as an HTTP response

[0894] Output: Bingo cards displayed on the screen

[0895] (Application example 1)

[0896] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0897] In many brick-and-mortar stores today, communication between customers is difficult, and there is a need for mechanisms to lighten the store's atmosphere. Another issue is the lack of ways for customers to enjoyably interact with each other through self-introductions. Conventional methods make it difficult to create opportunities for customers to naturally talk with each other, and the store experience tends to become monotonous.

[0898] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0899] In this invention, the server includes means for inputting a self-introduction, means for analyzing the input self-introduction using natural language processing technology and extracting main topics, means for generating bingo card items based on the extracted topics, means for encouraging users to interact with each other in the store using the bingo card generated based on the self-introduction, and means for transmitting the generated bingo card to a user terminal. This enables customers in the store to easily introduce themselves to each other and deepen their interactions through the bingo game.

[0900] The "self-introduction" is text data in which the user describes his or her hobbies and interests.

[0901] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[0902] "Major topics" are specific keywords extracted from the self-introduction that represent the user's interests and concerns.

[0903] A "bingo card" is a grid of cards with specific items written on them that are used when playing the bingo game.

[0904] A "store" is a commercial facility for selling goods or providing services.

[0905] "Means for promoting interaction" are mechanisms that make it easier for users to communicate with each other.

[0906] A "user terminal" is an information processing device used by a user, and includes a smartphone, tablet, personal computer, and the like.

[0907] "Tokenization" is the process of dividing text into meaningful words or units.

[0908] "Morphological analysis" is a technique for breaking down text into the smallest grammatically meaningful units and clarifying the part of speech and meaning of each unit.

[0909] "Bingo items" are contents corresponding to each cell written on a bingo card, and are generated based on topics extracted from the self-introduction text.

[0910] A "template" refers to a framework that serves as a base for arranging the components of a bingo card.

[0911] The following describes in detail an embodiment of the present invention. This system includes a process for automatically generating bingo card items based on a user's self-introduction and transmitting the items to the user's terminal. Furthermore, it provides a means for promoting interaction between users within the store.

[0912] User Input

[0913] User: The user enters a self-introduction into the input field of the device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0914] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0915] Self-introduction analysis

[0916] Server: Receives the self-introduction and temporarily stores it. Next, natural language processing techniques are applied to analyze the self-introduction and extract the main topics. The self-introduction is tokenized and subjected to morphological analysis. For example, from a self-introduction such as "I love traveling and I have a cat. Lately I've also become interested in programming," topics such as "travel," "cats," and "programming" are extracted.

[0917] Topic storage and feature generation

[0918] Server: The extracted topics are stored in a database, and features and keywords corresponding to each topic are generated. For example, the topic "travel" is associated with features such as "overseas travel," "travel plans," and "how to choose a travel destination."

[0919] Bingo Card Generation

[0920] Server: Generates each item on a bingo card based on the topics and characteristics obtained from the database. For example, it creates bingo items such as "travel lover," "cat owner," and "beginner in programming." The generated bingo items are placed on a bingo card template to complete the bingo card. It also provides a means to promote interaction based on the bingo card items so that users can use the bingo cards to deepen their interactions with each other within the store.

[0921] Send Bingo Card

[0922] Server: Sends the generated bingo card to the user's terminal.

[0923] Terminal: The user terminal displays the received bingo card, allowing the user to start the bingo game. In addition, it provides a promotional tool that makes it easier for users to share their self-introductions with other users in the store.

[0924] Specific examples

[0925] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[0926] Extracted topics: "Music", "Guitar", "Movie"

[0927] Bingo items: "Music lover," "Guitar player," "Movie fan"

[0928] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[0929] Extracted topics: "Sports", "Soccer", "Travel"

[0930] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[0931] Prompt Sentence Examples

[0932] "Self-introduction: 'I love traveling, I have a cat, and I've recently become interested in programming.' Based on this self-introduction, generate items for a 3x3 bingo card."

[0933] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0934] Step 1:

[0935] The user enters a self-introduction

[0936] The user enters a self-introduction into the input field on the terminal. This self-introduction becomes the initial input data for the system. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[0937] Step 2:

[0938] The device sends a self-introduction to the server

[0939] The device sends the self-introduction text entered by the user to the server. This is done using a communication method such as an HTTP request. The entered self-introduction text is sent to the server in JSON format, and processing on the server begins.

[0940] Step 3:

[0941] The server temporarily saves your self-introduction

[0942] The server temporarily stores the received self-introduction in a database or memory. This ensures data integrity before subsequent natural language processing or analysis. The input is the user's self-introduction, and the output is the temporarily stored self-introduction data.

[0943] Step 4:

[0944] The server analyzes the self-introduction text using natural language processing technology.

[0945] The server uses natural language processing technology (e.g., Spacy, NLTK, etc.) to tokenize the self-introduction text and perform morphological analysis. The input is the self-introduction text, and the output contains the main topics as the analysis results. For example, topics such as "travel," "cats," and "programming" are extracted.

[0946] Step 5:

[0947] The server generates topic features and keywords

[0948] The server generates features and keywords corresponding to each topic based on the extracted topics. The input is the main topic, and the output is the features and keywords associated with each topic. For example, "travel" includes "overseas travel," "travel plans," and "how to choose a travel destination."

[0949] Step 6:

[0950] The server generates the bingo card items.

[0951] The server automatically generates bingo card items based on the generated features and keywords. The input is the features and keywords, and the output is the bingo items. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm a beginner at programming" can be generated.

[0952] Step 7:

[0953] The server places items on a bingo card template

[0954] The server places the generated bingo items into a template to complete a bingo card. The input is the bingo items, and the output is the completed bingo card, which follows a 3x3 grid or other layout format.

[0955] Step 8:

[0956] The server sends the bingo card to the user's device.

[0957] The server sends the generated bingo card to the user's terminal. The input is the bingo card, and the output is the bingo card data sent to the user's terminal. This can be done using HTTP responses or other communication methods.

[0958] Step 9:

[0959] The terminal displays the bingo card and the user starts the bingo game.

[0960] The terminal displays the received bingo card and allows the user to start a bingo game. The input is bingo card data and the output is the displayed bingo card. The user can use this bingo card to promote interaction with other users in the store.

[0961] Specific examples

[0962] Prompt Sentence Examples

[0963] "Self-introduction: 'I love traveling, I have a cat, and I've recently become interested in programming.' Based on this self-introduction, generate items for a 3x3 bingo card."

[0964] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0965] The following describes in detail an embodiment of the present invention. This system automatically generates bingo card items based on a user's self-introduction and transmits them to the user's terminal. In addition, it utilizes an emotion engine that recognizes the user's emotions to adjust the content of the bingo card.

[0966] User Input

[0967] User: The user enters a self-introduction into the input field of the device, for example, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[0968] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[0969] Self-introduction analysis

[0970] Server: Receives and temporarily stores the self-introduction. Next, natural language processing techniques are applied to analyze the self-introduction, tokenizing it and performing morphological analysis to extract key topics. For example, from the sentence "Work has been busy and stressful lately, but I enjoy spending time with my family on the weekends," keywords such as "work," "stress," "weekend," and "family" are extracted.

[0971] emotion recognition

[0972] Server: Applying a sentiment engine to the extracted topics to recognize emotions. For example, recognizing negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family."

[0973] Topic storage and feature generation

[0974] Server: Based on the emotions recognized by the emotion engine, the topics are stored in a database. A feature set is generated for each topic, and features related to the "family" topic, such as "family trip," "family get-together," and "family event," are set. If a negative emotion is recognized, positive features that alleviate that emotion are added.

[0975] Bingo Card Generation

[0976] Server: Generates items on a bingo card based on topics and features retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "What to do on the weekend," and "With family."

[0977] Server: Place the generated bingo items on the prepared bingo card template to complete the bingo card.

[0978] Send Bingo Card

[0979] Server: Sends the completed bingo card to the user's device.

[0980] Terminal: The user terminal displays the received bingo card and allows the user to start the bingo game.

[0981] Specific examples

[0982] 1. User A's input: "Work has been busy and stressful lately, but I like spending time with my family on the weekends."

[0983] Extracted topics: "Work," "Stress," "Weekend," "Family"

[0984] Perceived emotions: Negative (stress), Positive (spending time with family)

[0985] Bingo items: "I love my job," "How to relieve stress," "Fun on the weekend," and "With family."

[0986] 2. User B's input: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I'm feeling a bit lonely."

[0987] Extracted topics: "music," "guitar," "movies," and "loneliness"

[0988] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[0989] Bingo items: "I love music," "I play guitar," "I love movies," and "I spend time with friends."

[0990] In this way, our system analyzes the user's self-introduction to extract key topics, and uses emotion recognition technology to evaluate the user's emotions, generating and delivering individually customized bingo cards. As a result, it is possible to provide a bingo game based on a more personal experience, allowing users to enjoy it even more.

[0991] The processing flow will be explained below.

[0992] Step 1:

[0993] The user enters a self-introduction into an input field on the terminal, for example, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[0994] Step 2:

[0995] The device sends the self-introduction text entered by the user to the server using an HTTP POST request.

[0996] Step 3:

[0997] The server receives the self-introduction sent from the terminal and temporarily stores it.

[0998] Step 4:

[0999] The server analyzes the self-introduction using natural language processing technology. First, it tokenizes the self-introduction, and then performs morphological analysis to extract the main topics. For example, from the sentence "I've been busy and stressed out lately at work, but I enjoy spending time with my family on the weekends," it extracts keywords such as "work," "stress," "weekend," and "family."

[1000] Step 5:

[1001] The server uses an emotion engine to recognize emotions for the extracted topics. It analyzes specific keywords and phrases and determines that "work" and "stress" indicate negative emotions, while "weekend" and "family" indicate positive emotions.

[1002] Step 6:

[1003] The server stores topics in a database based on the emotions recognized by the emotion engine. For positive emotions, features that reinforce those emotions are assigned, and for negative emotions, features that soften those emotions are assigned. For example, features related to the topic "family" include "family trip," "family gathering," and "family event."

[1004] Step 7:

[1005] The server generates each item on the bingo card based on the topics and features retrieved from the database, such as "I love my job," "How to relieve stress," "What to do on the weekend," and "With family."

[1006] Step 8:

[1007] The server places the generated bingo items on a prepared bingo card template to complete the bingo card.

[1008] Step 9:

[1009] The server sends the completed bingo card to the user's device. To send a bingo card customized for each user, a communication method such as HTTP POST or WebSocket is used.

[1010] Step 10:

[1011] The terminal receives the bingo card sent from the server and displays it, allowing the user to check the bingo card and start the bingo game.

[1012] In this way, by analyzing the user's self-introduction and combining it with emotion recognition technology, the system can generate and provide personalized bingo cards that reflect the user's emotions and interests.

[1013] Example 2

[1014] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1015] Conventional bingo card generation systems struggle to effectively analyze users' self-introductions and generate individually customized bingo cards. Furthermore, they are unable to recognize users' emotions and adjust the content of the bingo cards accordingly, which hinders the quality of the user experience. Furthermore, they do not fully utilize natural language processing technology, which means it takes a long time to extract key topics and recognize emotions.

[1016] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for inputting a self-introduction sentence, a means for analyzing the input self-introduction sentence using natural language processing technology and extracting main topics, a means for recognizing emotions based on the extracted topics, a means for storing the topics in a database based on the recognized emotions and generating a feature set, a means for generating bingo card items based on the generated topics and features and arranging them in a bingo card template, and a means for transmitting the generated bingo card to a user terminal. This makes it possible to generate and transmit an individually customized bingo card based on the user's self-introduction sentence.

[1017] The "self-introduction" is text that allows a user to write information about themselves and their current situation.

[1018] "Natural language processing technology" is a technology that allows computers to understand, analyze, and process human language.

[1019] "Topics" are the main keywords or subjects extracted from your self-introduction.

[1020] "Emotion recognition" is a technology that evaluates and classifies a user's emotions from input text.

[1021] A "database" is a system for efficiently storing and managing information.

[1022] A "feature set" is a collection of information related to an extracted topic.

[1023] A "bingo card" is a card on which multiple items are arranged and is used in a bingo game.

[1024] A "template" is a model that defines the basic structure and layout of a bingo card.

[1025] A "user terminal" refers to an electronic device that is directly operated by a user, and primarily includes personal computers and smartphones.

[1026] An embodiment of the present invention will be described in detail below. This system automatically generates bingo card items based on a user's self-introduction and sends them to the user's terminal. This system includes the processes of inputting a self-introduction, analyzing the self-introduction, recognizing emotions, saving topics and generating features, generating bingo cards, and sending bingo cards. These processes are implemented using software and hardware.

[1027] First, the user enters a self-introduction into the input field of the terminal. For example, "Work has been busy and stressful lately, but I like spending time with my family on the weekends." Examples of prompts that are used include "Please enter a self-introduction:" and "Tell us about your hobbies and recent activities:".

[1028] Next, the device sends the self-introduction text entered by the user to the server by using an HTTP POST request to send the self-introduction text to the specified endpoint on the server.

[1029] The server then receives the self-introduction and temporarily stores it in storage. It then analyzes the self-introduction using natural language processing techniques. Specifically, it uses Python's NLTK and spaCy libraries to perform tokenization and morphological analysis, extracting key topics such as "work," "stress," "weekend," and "family."

[1030] The server then applies an emotion recognition engine to the topics extracted from the self-introduction, using Google Cloud's Natural Language API and IBM Watson's Tone Analyzer to recognize negative emotions, such as the keyword "stress," and positive emotions, such as the phrase "spending time with family."

[1031] Based on this, the server stores the topic in a database and generates a set of related features. For example, for the topic "family," features such as "family trip," "family get-together," and "family event" are set. If negative emotions are recognized, positive features that alleviate those emotions are also added.

[1032] The server generates each item on a bingo card based on the topics and characteristics retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "Fun things to do on the weekend," and "With family." The HTML template engine Jinja2 is used to place these items into an existing bingo card template.

[1033] Finally, the server sends the generated bingo card to the user's terminal, which displays the received bingo card and allows the user to start the bingo game.

[1034] For example, consider the following user input and its corresponding processing:

[1035] User A's input: "Work has been busy and stressful lately, but I love spending time with my family on the weekends."

[1036] Extracted topics: "Work," "Stress," "Weekend," "Family"

[1037] Perceived emotions: Negative (stress), Positive (spending time with family)

[1038] Generated bingo items: "I love my job," "How to relieve stress," "Fun on the weekend," and "With family."

[1039] User B typed: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I'm feeling a bit lonely."

[1040] Extracted topics: "music," "guitar," "movies," and "loneliness"

[1041] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[1042] Generated bingo items: "I like music," "I play guitar," "I love movies," and "I spend time with friends."

[1043] The system enhances the user experience by enabling the generation and delivery of individually customized bingo cards based on the user's biographical description.

[1044] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1045] Step 1: User Input

[1046] The user inputs a self-introduction into the input field of their device. For example, they input the text "I've been busy and stressed at work lately, but I like spending time with my family on the weekends." In this process, the user is presented with prompts such as "Please enter your self-introduction:" and "Tell us about your hobbies and recent activities:." The input data is natural language text.

[1047] Step 2: Submit your introduction

[1048] The device sends the self-introduction text entered by the user to the server by using an HTTP POST request to send the self-introduction text to the specified endpoint of the server. The input data is the self-introduction text and is sent to the server.

[1049] Step 3: Analyzing the self-introduction

[1050] The server receives the self-introduction and temporarily stores it in storage. Next, it performs natural language processing using Python's NLTK and spaCy libraries to tokenize and morphologically analyze the self-introduction. For example, a self-introduction such as "I've been busy and stressed lately at work, but I enjoy spending time with my family on the weekends" can be analyzed to extract major topics such as "work," "stress," "weekend," and "family." The input data is the self-introduction text, and the output data is a list of major topics.

[1051] Step 4: Emotion Recognition

[1052] The server applies an emotion recognition engine to the extracted topics, in this case using Google Cloud's Natural Language API or IBM Watson's Tone Analyzer. The emotion recognition engine evaluates the emotions associated with each topic, recognizing negative emotions from the keyword "stress" and positive emotions from the topic "spending time with family." The input data is a list of major topics, and the output data is a list of emotions associated with each topic.

[1053] Step 5: Topic storage and feature generation

[1054] The server stores topics in a database based on the emotions recognized by the emotion recognition engine. When storing, a feature set is generated for each topic. For example, features related to the topic "family" include "family trip," "family get-together," and "family event." If a negative emotion is recognized, positive features that alleviate that emotion are also added. The input data is a list of each topic and its emotion, and the output data is a database entry with the added feature set.

[1055] Step 6: Generate Bingo Cards

[1056] The server generates each item on a bingo card based on the topics and features retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "Fun things to do on the weekend," and "With family." Next, it places these items into an existing bingo card template using Jinja2, an HTML template engine, to complete the bingo card. The input data are database entries with the feature set added, and the output data is an HTML file of the bingo card.

[1057] Step 7: Send your bingo card

[1058] The server sends the completed bingo card to the user's device via HTTP protocol. The device displays the received bingo card and prepares the UI so that the user can start the bingo game. The input data is the bingo card HTML file, and the output is the displayed bingo card.

[1059] (Application example 2)

[1060] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1061] Conventional shopping experiences are not customized based on individual emotions and interests, making it difficult for users to find the products and benefits they truly desire. Furthermore, the lack of suggestions that respond to emotional changes makes it difficult to improve user satisfaction. Therefore, there is a need to improve user satisfaction by recognizing and analyzing user emotions and customizing the shopping experience based on those emotions.

[1062] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for inputting a self-introduction, a means for analyzing the self-introduction using natural language processing technology and extracting topics, a means for recognizing and analyzing emotions, a means for generating bingo card items based on the recognized emotions, and a means for transmitting the generated bingo card to the user terminal. This makes it possible to customize the shopping experience based on the user's emotions and interests.

[1063] The "self-introduction" is a sentence in which the user describes his / her interests, feelings, situation, etc.

[1064] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[1065] A "topic" is the main theme or keyword that appears in your self-introduction.

[1066] "Emotion recognition" is a technology that estimates a user's emotions from text data.

[1067] "Bingo card items" are specific tasks or themes that are placed on the squares in a bingo game.

[1068] A "user terminal" is an electronic device (e.g., a smartphone, tablet, etc.) that a user uses to input information and receive results.

[1069] A "template" is a pre-prepared layout or format for arranging items on a bingo card.

[1070] "Benefits" are rewards or services provided to users after completing a bingo card or achieving certain conditions.

[1071] The following describes in detail the mode for carrying out the present invention. This system mainly analyzes self-introductions, performs emotion recognition, and generates individually customized bingo cards based on the results, and provides them to users.

[1072] Hardware and software used

[1073] User devices: smartphones, tablets, computers, etc.

[1074] Server: A server that runs natural language processing technology and emotion recognition engines

[1075] Natural Language Processing (NLP): SpaCy

[1076] Emotion recognition: TextBlob

[1077] Specific processing of the system

[1078] User self-introduction input

[1079] A user uses their smartphone or other device to enter a self-introduction into the input field of the dedicated application. For example, they might enter, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[1080] Analysis of self-introductions

[1081] The device sends the self-introduction text that was entered to the server. The server receives the text, tokenizes it using natural language processing technology (SpaCy), and performs morphological analysis. For example, from the sentence "I've been busy with work lately and it's stressful, but I like spending time with my family on the weekends," keywords such as "work," "stress," "weekend," and "family" can be extracted.

[1082] emotion recognition

[1083] The server performs emotion recognition (TextBlob) on the extracted keywords. It recognizes negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family."

[1084] Bingo Card Generation

[1085] The server generates bingo card items based on the recognized emotions, such as "I love my job," "How to relieve stress," "Weekend fun," and "With family." The server then places the generated bingo items on a bingo card template to create a bingo card that the user can enjoy.

[1086] Send and display bingo cards

[1087] The completed bingo card is sent from the server to the user terminal, which displays the received bingo card and allows the user to start the bingo game.

[1088] Examples and prompts

[1089] For example, if a user enters the following self-description: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I feel a bit lonely.":

[1090] Extracted topics: "Music," "Guitar," "Movies," "Loneliness"

[1091] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[1092] Generated bingo items: "I like music," "I play guitar," "I love movies," and "I spend time with friends."

[1093] (Example of a prompt)

[1094] "Analyze the user's self-description and suggest appropriate bingo card items. Self-description: 'Work has been busy and stressful lately, but I like looking for new gadgets.'"

[1095] This system makes it possible to provide a customized shopping experience that takes into account the user's emotions and interests.

[1096] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1097] Step 1:

[1098] The user enters a self-introduction into the input field of the dedicated application. For example, they might enter, "I've been busy and stressed out lately at work, but I enjoy spending time with my family on the weekends." The input is temporarily saved as text data on the device.

[1099] Step 2:

[1100] The terminal transmits the saved self-introduction to the server. The terminal transfers the self-introduction text as input to the server and receives it.

[1101] Step 3:

[1102] The server uses natural language processing technology (SpaCy) to tokenize the received self-introduction text and perform morphological analysis. It then extracts key topics (keywords) from the text data. For example, from the sentence, "I've been busy at work lately and feeling stressed, but I enjoy spending time with my family on the weekends," it extracts keywords such as "work," "stress," "weekend," and "family."

[1103] Step 4:

[1104] The server inputs the extracted keywords into an emotion recognition engine (TextBlob) to determine the emotion associated with each keyword. For example, it recognizes negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family." The output is the correspondence between keywords and their emotions.

[1105] Step 5:

[1106] The server generates bingo card items based on the recognized emotions, such as "I love my job," "How to relieve stress," "Fun on the weekend," and "With family." A list of bingo card items is generated as output.

[1107] Step 6:

[1108] The server places the generated bingo items into a bingo card template, embeds each item in this template, and completes the final bingo card. A customized bingo card is generated as the output.

[1109] Step 7:

[1110] The completed bingo card is sent from the server to the user's terminal, which displays the received bingo card and allows the user to start the bingo game.

[1111] This series of processes makes it possible to provide a customized shopping experience based on the user's emotions and interests.

[1112] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1113] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1114] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1115] [Fourth embodiment]

[1116] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1117] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1118] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1119] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1120] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1121] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1122] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1123] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1124] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1125] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1126] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1127] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1128] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1129] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail below with reference to the accompanying drawings. The present invention relates to a system for automatically generating bingo card items based on a user's self-introduction and transmitting the items to the user's terminal.

[1130] User Input

[1131] User: The user enters a self-introduction into the input field of the device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[1132] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[1133] Self-introduction analysis

[1134] Server: Receives and temporarily stores the self-introduction text. It then applies natural language processing techniques to analyze the text, tokenizing it and performing morphological analysis to extract key topics.

[1135] As a concrete example, from a self-introduction such as "I love traveling and I have a cat. Recently, I've also become interested in programming," topics such as "travel," "cats," and "programming" are extracted.

[1136] Topic storage and feature generation

[1137] Server: The extracted topics are stored in a database, and features and keywords corresponding to each topic are generated. For example, the topic "travel" is associated with features such as "overseas travel," "travel plans," and "how to choose a travel destination."

[1138] Bingo Card Generation

[1139] Server: Generates bingo card items based on topics and features retrieved from the database. For example, it creates bingo items such as "travel lover," "cat owner," and "beginner in programming."

[1140] Server: Place the generated bingo items on the bingo card template to complete the bingo card.

[1141] Send Bingo Card

[1142] Server: Sends the generated bingo card to the user's terminal.

[1143] Terminal: The user terminal displays the received bingo card and allows the user to start the bingo game.

[1144] Specific examples

[1145] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[1146] Extracted topics: "Music", "Guitar", "Movie"

[1147] Bingo items: "Music lover," "Guitar player," "Movie fan"

[1148] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[1149] Extracted topics: "Sports", "Soccer", "Travel"

[1150] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[1151] In this way, the system analyzes the self-introductions of users to generate individually customized bingo cards, allowing each user to share their self-introductions in a fun way.

[1152] The processing flow will be explained below.

[1153] Step 1:

[1154] The user enters a self-introduction into an input field on the terminal. For example, the user enters, "I like traveling, I have a cat, and I've recently become interested in programming."

[1155] Step 2:

[1156] The device receives the self-introduction text entered by the user and sends it to the server using an HTTP POST request.

[1157] Step 3:

[1158] The server receives the self-introduction sent from the terminal and temporarily stores it.

[1159] Step 4:

[1160] The server analyzes the self-introduction using natural language processing technology. First, it tokenizes the self-introduction, and then performs morphological analysis to extract the main topics. For example, from the sentence "I love traveling and I have a cat. Lately I've also become interested in programming," it extracts keywords such as "travel," "cat," and "programming."

[1161] Step 5:

[1162] The server stores the extracted topics in a database. It generates a feature set for each topic, and sets features related to the "travel" topic, such as "overseas travel," "travel plans," and "how to choose a travel destination."

[1163] Step 6:

[1164] The server generates each item on the bingo card based on the topics and characteristics retrieved from the database, such as "travel lover," "cat owner," and "beginner in programming."

[1165] Step 7:

[1166] The server places the generated bingo items on a prepared bingo card template to complete the bingo card.

[1167] Step 8:

[1168] The server sends the completed bingo card to the user's device. To send a bingo card customized for each user, a communication method such as HTTP POST or WebSocket is used.

[1169] Step 9:

[1170] The terminal receives the bingo card sent from the server and displays it, allowing the user to check the bingo card and start the bingo game.

[1171] In this way, by analyzing users' self-introductions and using the extracted topics to generate and distribute personalized bingo cards, a system is constructed that allows all participants to enjoy a bingo game.

[1172] Example 1

[1173] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1174] In conventional self-introduction methods, users simply enter a self-introduction text and then leave it as is. This lacks interactive elements that reflect the user's personality and hobbies, making interactions less smooth. Furthermore, since there is no way for users to interact with others in a game-like format based on their self-introduction text, it is difficult for users to build intimate relationships.

[1175] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1176] In this invention, the server includes means for a user to input a self-introduction, means for analyzing the input self-introduction and using natural language processing technology to extract main topics, means for generating bingo card items based on the extracted topics, means for transmitting the generated bingo card to a user terminal, and means for displaying the bingo card received by the user terminal. This enables an interactive bingo game based on the self-introduction, making it easier for users to interact with each other naturally.

[1177] "User" refers to an individual who uses this system to enter a self-introduction and receive a bingo card.

[1178] "Terminal" refers to an electronic device that allows a user to input a self-introduction and receive and display a bingo card, including a smartphone or personal computer.

[1179] "Self-introduction" refers to a text in which a user describes his or her hobbies, interests, etc.

[1180] "Natural language processing technology" refers to the technology of analyzing input text data and extracting key topics and information.

[1181] "Tokenization" refers to the process of breaking down text into words and phrases.

[1182] "Morphological analysis" refers to the process of grammatically analyzing the words and phrases that make up a sentence and understanding their meaning and relationships.

[1183] "Topics" refer to the main themes and keywords extracted from the self-introduction text.

[1184] "Bingo cards" refer to game-style cards generated based on extracted topics.

[1185] "Bingo items" refer to the contents of each cell placed on a bingo card.

[1186] "Template" refers to the basic framework or format for creating bingo cards.

[1187] The present invention will be described in detail below with reference to an embodiment thereof. The system includes a step in which a user inputs a self-introduction, and based on the self-introduction, automatically generates bingo card items and transmits them to the user's terminal.

[1188] Hardware and Software Configuration

[1189] The implementation of this system uses the following hardware and software:

[1190] Hardware: Servers (e.g., cloud computing services), user devices (e.g., smartphones, personal computers)

[1191] Software: Natural language processing technologies (e.g., SpaCy, NLTK), databases (e.g., MySQL, PostgreSQL), generative AI models (e.g., GPT)

[1192] System processing overview

[1193] User Input

[1194] User: The user enters a self-introduction into the input field of their device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[1195] Terminal: The terminal sends the self-introduction text entered by the user to the server via an HTTP request.

[1196] Self-introduction analysis

[1197] Server: The server receives the HTTP request and retrieves the self-introduction. Next, it temporarily stores this self-introduction and applies natural language processing techniques. Specifically, it uses SpaCy or a similar tool to tokenize the self-introduction and perform morphological analysis. For example, from a self-introduction such as "I love traveling and I have a cat. Lately I've also become interested in programming," it extracts topics such as "travel," "cats," and "programming."

[1198] Topic storage and feature generation

[1199] Server: The extracted topics are saved in the database. This saving process is performed using an SQL query. For example, the topic is saved in the format "INSERT INTO Topics (user_id, topic) VALUES (123, 'Travel')".

[1200] The server then generates features and keywords for each topic using a generative AI model and inputs prompts such as:

[1201] Prompt statement:

[1202] Generate features and keywords related to the topic "travel," such as "overseas travel," "travel plans," and "how to choose a travel destination."

[1203] Bingo Card Generation

[1204] Server: Generates each item on the bingo card based on the topics and features retrieved from the database. Using a generative AI model, it uses prompts like the following:

[1205] Prompt statement:

[1206] Generate bingo card items based on the following topics: "Travel," "Cats," and "Programming."

[1207] The generated bingo items are placed in a bingo card template. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm new to programming" are placed in the cells of the template one by one.

[1208] Send Bingo Card

[1209] Server: Sends the generated bingo card to the user's device by returning the bingo card data as an HTTP response.

[1210] Terminal: The terminal displays the received bingo cards. Specifically, it renders the bingo cards using HTML and JavaScript, allowing the user to start playing the bingo game on the screen.

[1211] Specific examples

[1212] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[1213] Extracted topics: "Music", "Guitar", "Movie"

[1214] Bingo items: "Music lover," "Guitar player," "Movie fan"

[1215] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[1216] Extracted topics: "Sports", "Soccer", "Travel"

[1217] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[1218] In this way, the present system analyzes the user's self-introduction in detail, generates a customized bingo card, and provides it to the user.

[1219] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1220] Step 1:

[1221] User: The user enters a self-introduction into the input field of their device. For example, they might enter, "I love traveling, I have a cat, and I've recently become interested in programming."

[1222] Input: User's self-introduction

[1223] Output: Request to send self-introduction

[1224] Step 2:

[1225] Terminal: The terminal sends the self-introduction text entered by the user to the server via an HTTP request.

[1226] Input: User's self-introduction

[1227] Output: HTTP request to the server

[1228] Step 3:

[1229] Server: The server receives the HTTP request and retrieves the self-introduction. It then temporarily stores the self-introduction and applies natural language processing techniques to it. Specifically, it uses tools such as SpaCy to tokenize the self-introduction and perform morphological analysis.

[1230] Input: Self-introduction in HTTP request

[1231] Data processing: Tokenization and morphological analysis using SpaCy

[1232] Output: Extracted topics (e.g., "travel," "cats," "programming")

[1233] Step 4:

[1234] Server: Extracts major topics from the results of morphological analysis. Stores the extracted topics in a database. This storage process is performed using SQL queries.

[1235] Input: Topics resulting from morphological analysis

[1236] Data processing: Save topics to a database

[1237] Output: Saved topics

[1238] Step 5:

[1239] Server: Uses a generative AI model to generate features and keywords corresponding to each topic. Enter a prompt. For example, generate features and keywords related to the topic "travel." Examples include "overseas travel," "travel plans," and "how to choose a travel destination."

[1240] Input: Topic (e.g. "Travel")

[1241] Data processing: Generate features and keywords using generative AI models

[1242] Output: Generated features and keywords (e.g., "overseas travel" and "travel plans")

[1243] Step 6:

[1244] Server: Generates each bingo card item based on the topics retrieved from the database and the generated features. Uses a generative AI model and prompts. For example, "Generate bingo card items based on the following topics: 'Travel', 'Cats', and 'Programming'."

[1245] Input: Topics and Features

[1246] Data processing: Generate bingo items using a generative AI model

[1247] Output: Generated bingo items (e.g., "I love traveling," "I'm a cat owner," "I'm new to programming")

[1248] Step 7:

[1249] Server: Places the generated bingo items into the bingo card template. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm new to programming" are placed into the cells of the template in order.

[1250] Input: Generated Bingo items

[1251] Data processing: Placement on a bingo card template

[1252] Output: Completed Bingo card

[1253] Step 8:

[1254] Server: Sends the generated bingo card to the user's device by returning the bingo card data as an HTTP response.

[1255] Input: Completed Bingo card

[1256] Output: HTTP response to the user's device

[1257] Step 9:

[1258] Terminal: The terminal displays the received bingo cards. Specifically, it renders the bingo cards using HTML and JavaScript, allowing the user to start playing the bingo game on the screen.

[1259] Input: Bingo card data as an HTTP response

[1260] Output: Bingo cards displayed on the screen

[1261] (Application example 1)

[1262] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1263] In many brick-and-mortar stores today, communication between customers is difficult, and there is a need for mechanisms to lighten the store's atmosphere. Another issue is the lack of ways for customers to enjoyably interact with each other through self-introductions. Conventional methods make it difficult to create opportunities for customers to naturally talk with each other, and the store experience tends to become monotonous.

[1264] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1265] In this invention, the server includes means for inputting a self-introduction, means for analyzing the input self-introduction using natural language processing technology and extracting main topics, means for generating bingo card items based on the extracted topics, means for encouraging users to interact with each other in the store using the bingo card generated based on the self-introduction, and means for transmitting the generated bingo card to a user terminal. This enables customers in the store to easily introduce themselves to each other and deepen their interactions through the bingo game.

[1266] The "self-introduction" is text data in which the user describes his or her hobbies and interests.

[1267] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[1268] "Major topics" are specific keywords extracted from the self-introduction that represent the user's interests and concerns.

[1269] A "bingo card" is a grid of cards with specific items written on them that are used when playing the bingo game.

[1270] A "store" is a commercial facility for selling goods or providing services.

[1271] "Means for promoting interaction" are mechanisms that make it easier for users to communicate with each other.

[1272] A "user terminal" is an information processing device used by a user, and includes a smartphone, tablet, personal computer, and the like.

[1273] "Tokenization" is the process of dividing text into meaningful words or units.

[1274] "Morphological analysis" is a technique for breaking down text into the smallest grammatically meaningful units and clarifying the part of speech and meaning of each unit.

[1275] "Bingo items" are contents corresponding to each cell written on a bingo card, and are generated based on topics extracted from the self-introduction text.

[1276] A "template" refers to a framework that serves as a base for arranging the components of a bingo card.

[1277] The following describes in detail an embodiment of the present invention. This system includes a process for automatically generating bingo card items based on a user's self-introduction and transmitting the items to the user's terminal. Furthermore, it provides a means for promoting interaction between users within the store.

[1278] User Input

[1279] User: The user enters a self-introduction into the input field of the device. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[1280] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[1281] Self-introduction analysis

[1282] Server: Receives the self-introduction and temporarily stores it. Next, natural language processing techniques are applied to analyze the self-introduction and extract the main topics. The self-introduction is tokenized and subjected to morphological analysis. For example, from a self-introduction such as "I love traveling and I have a cat. Lately I've also become interested in programming," topics such as "travel," "cats," and "programming" are extracted.

[1283] Topic storage and feature generation

[1284] Server: The extracted topics are stored in a database, and features and keywords corresponding to each topic are generated. For example, the topic "travel" is associated with features such as "overseas travel," "travel plans," and "how to choose a travel destination."

[1285] Bingo Card Generation

[1286] Server: Generates each item on a bingo card based on the topics and characteristics obtained from the database. For example, it creates bingo items such as "travel lover," "cat owner," and "beginner in programming." The generated bingo items are placed on a bingo card template to complete the bingo card. It also provides a means to promote interaction based on the bingo card items so that users can use the bingo cards to deepen their interactions with each other within the store.

[1287] Send Bingo Card

[1288] Server: Sends the generated bingo card to the user's terminal.

[1289] Terminal: The user terminal displays the received bingo card, allowing the user to start the bingo game. In addition, it provides a promotional tool that makes it easier for users to share their self-introductions with other users in the store.

[1290] Specific examples

[1291] 1. User A's input: "I love music and my hobby is playing the guitar. I've also recently become addicted to watching movies."

[1292] Extracted topics: "Music", "Guitar", "Movie"

[1293] Bingo items: "Music lover," "Guitar player," "Movie fan"

[1294] 2. User B types: "I love sports, especially soccer. I also travel a lot."

[1295] Extracted topics: "Sports", "Soccer", "Travel"

[1296] Bingo items: "Sports lover," "Soccer player," "Frequent traveler"

[1297] Prompt Sentence Examples

[1298] "Self-introduction: 'I love traveling, I have a cat, and I've recently become interested in programming.' Based on this self-introduction, generate items for a 3x3 bingo card."

[1299] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1300] Step 1:

[1301] The user enters a self-introduction

[1302] The user enters a self-introduction into the input field on the terminal. This self-introduction becomes the initial input data for the system. For example, the user might enter, "I like traveling, I have a cat, and I've recently become interested in programming."

[1303] Step 2:

[1304] The device sends a self-introduction to the server

[1305] The device sends the self-introduction text entered by the user to the server. This is done using a communication method such as an HTTP request. The entered self-introduction text is sent to the server in JSON format, and processing on the server begins.

[1306] Step 3:

[1307] The server temporarily saves your self-introduction

[1308] The server temporarily stores the received self-introduction in a database or memory. This ensures data integrity before subsequent natural language processing or analysis. The input is the user's self-introduction, and the output is the temporarily stored self-introduction data.

[1309] Step 4:

[1310] The server analyzes the self-introduction text using natural language processing technology.

[1311] The server uses natural language processing technology (e.g., Spacy, NLTK, etc.) to tokenize the self-introduction text and perform morphological analysis. The input is the self-introduction text, and the output contains the main topics as the analysis results. For example, topics such as "travel," "cats," and "programming" are extracted.

[1312] Step 5:

[1313] The server generates topic features and keywords

[1314] The server generates features and keywords corresponding to each topic based on the extracted topics. The input is the main topic, and the output is the features and keywords associated with each topic. For example, "travel" includes "overseas travel," "travel plans," and "how to choose a travel destination."

[1315] Step 6:

[1316] The server generates the bingo card items.

[1317] The server automatically generates bingo card items based on the generated features and keywords. The input is the features and keywords, and the output is the bingo items. For example, bingo items such as "I like traveling," "I'm a cat owner," and "I'm a beginner at programming" can be generated.

[1318] Step 7:

[1319] The server places items on a bingo card template

[1320] The server places the generated bingo items into a template to complete a bingo card. The input is the bingo items, and the output is the completed bingo card, which follows a 3x3 grid or other layout format.

[1321] Step 8:

[1322] The server sends the bingo card to the user's device.

[1323] The server sends the generated bingo card to the user's terminal. The input is the bingo card, and the output is the bingo card data sent to the user's terminal. This can be done using HTTP responses or other communication methods.

[1324] Step 9:

[1325] The terminal displays the bingo card and the user starts the bingo game.

[1326] The terminal displays the received bingo card and allows the user to start a bingo game. The input is bingo card data and the output is the displayed bingo card. The user can use this bingo card to promote interaction with other users in the store.

[1327] Specific examples

[1328] Prompt Sentence Examples

[1329] "Self-introduction: 'I love traveling, I have a cat, and I've recently become interested in programming.' Based on this self-introduction, generate items for a 3x3 bingo card."

[1330] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1331] The following describes in detail an embodiment of the present invention. This system automatically generates bingo card items based on a user's self-introduction and transmits them to the user's terminal. In addition, it utilizes an emotion engine that recognizes the user's emotions to adjust the content of the bingo card.

[1332] User Input

[1333] User: The user enters a self-introduction into the input field of the device, for example, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[1334] Terminal: The self-introduction text entered by the user on the terminal is sent to the server.

[1335] Self-introduction analysis

[1336] Server: Receives and temporarily stores the self-introduction. Next, natural language processing techniques are applied to analyze the self-introduction, tokenizing it and performing morphological analysis to extract key topics. For example, from the sentence "Work has been busy and stressful lately, but I enjoy spending time with my family on the weekends," keywords such as "work," "stress," "weekend," and "family" are extracted.

[1337] emotion recognition

[1338] Server: Applying a sentiment engine to the extracted topics to recognize emotions. For example, recognizing negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family."

[1339] Topic storage and feature generation

[1340] Server: Based on the emotions recognized by the emotion engine, the topics are stored in a database. A feature set is generated for each topic, and features related to the "family" topic, such as "family trip," "family get-together," and "family event," are set. If a negative emotion is recognized, positive features that alleviate that emotion are added.

[1341] Bingo Card Generation

[1342] Server: Generates items on a bingo card based on topics and features retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "What to do on the weekend," and "With family."

[1343] Server: Place the generated bingo items on the prepared bingo card template to complete the bingo card.

[1344] Send Bingo Card

[1345] Server: Sends the completed bingo card to the user's device.

[1346] Terminal: The user terminal displays the received bingo card and allows the user to start the bingo game.

[1347] Specific examples

[1348] 1. User A's input: "Work has been busy and stressful lately, but I like spending time with my family on the weekends."

[1349] Extracted topics: "Work," "Stress," "Weekend," "Family"

[1350] Perceived emotions: Negative (stress), Positive (spending time with family)

[1351] Bingo items: "I love my job," "How to relieve stress," "Fun on the weekend," and "With family."

[1352] 2. User B's input: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I'm feeling a bit lonely."

[1353] Extracted topics: "music," "guitar," "movies," and "loneliness"

[1354] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[1355] Bingo items: "I love music," "I play guitar," "I love movies," and "I spend time with friends."

[1356] In this way, our system analyzes the user's self-introduction to extract key topics, and uses emotion recognition technology to evaluate the user's emotions, generating and delivering individually customized bingo cards. As a result, it is possible to provide a bingo game based on a more personal experience, allowing users to enjoy it even more.

[1357] The processing flow will be explained below.

[1358] Step 1:

[1359] The user enters a self-introduction into an input field on the terminal, for example, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[1360] Step 2:

[1361] The device sends the self-introduction text entered by the user to the server using an HTTP POST request.

[1362] Step 3:

[1363] The server receives the self-introduction sent from the terminal and temporarily stores it.

[1364] Step 4:

[1365] The server analyzes the self-introduction using natural language processing technology. First, it tokenizes the self-introduction, and then performs morphological analysis to extract the main topics. For example, from the sentence "I've been busy and stressed out lately at work, but I enjoy spending time with my family on the weekends," it extracts keywords such as "work," "stress," "weekend," and "family."

[1366] Step 5:

[1367] The server uses an emotion engine to recognize emotions for the extracted topics. It analyzes specific keywords and phrases and determines that "work" and "stress" indicate negative emotions, while "weekend" and "family" indicate positive emotions.

[1368] Step 6:

[1369] The server stores topics in a database based on the emotions recognized by the emotion engine. For positive emotions, features that reinforce those emotions are assigned, and for negative emotions, features that soften those emotions are assigned. For example, features related to the topic "family" include "family trip," "family gathering," and "family event."

[1370] Step 7:

[1371] The server generates each item on the bingo card based on the topics and features retrieved from the database, such as "I love my job," "How to relieve stress," "What to do on the weekend," and "With family."

[1372] Step 8:

[1373] The server places the generated bingo items on a prepared bingo card template to complete the bingo card.

[1374] Step 9:

[1375] The server sends the completed bingo card to the user's device. To send a bingo card customized for each user, a communication method such as HTTP POST or WebSocket is used.

[1376] Step 10:

[1377] The terminal receives the bingo card sent from the server and displays it, allowing the user to check the bingo card and start the bingo game.

[1378] In this way, by analyzing the user's self-introduction and combining it with emotion recognition technology, the system can generate and provide personalized bingo cards that reflect the user's emotions and interests.

[1379] Example 2

[1380] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1381] Conventional bingo card generation systems struggle to effectively analyze users' self-introductions and generate individually customized bingo cards. Furthermore, they are unable to recognize users' emotions and adjust the content of the bingo cards accordingly, which hinders the quality of the user experience. Furthermore, they do not fully utilize natural language processing technology, which means it takes a long time to extract key topics and recognize emotions.

[1382] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for inputting a self-introduction sentence, a means for analyzing the input self-introduction sentence using natural language processing technology and extracting main topics, a means for recognizing emotions based on the extracted topics, a means for storing the topics in a database based on the recognized emotions and generating a feature set, a means for generating bingo card items based on the generated topics and features and arranging them in a bingo card template, and a means for transmitting the generated bingo card to a user terminal. This makes it possible to generate and transmit an individually customized bingo card based on the user's self-introduction sentence.

[1383] The "self-introduction" is text that allows a user to write information about themselves and their current situation.

[1384] "Natural language processing technology" is a technology that allows computers to understand, analyze, and process human language.

[1385] "Topics" are the main keywords or subjects extracted from your self-introduction.

[1386] "Emotion recognition" is a technology that evaluates and classifies a user's emotions from input text.

[1387] A "database" is a system for efficiently storing and managing information.

[1388] A "feature set" is a collection of information related to an extracted topic.

[1389] A "bingo card" is a card on which multiple items are arranged and is used in a bingo game.

[1390] A "template" is a model that defines the basic structure and layout of a bingo card.

[1391] A "user terminal" refers to an electronic device that is directly operated by a user, and primarily includes personal computers and smartphones.

[1392] An embodiment of the present invention will be described in detail below. This system automatically generates bingo card items based on a user's self-introduction and sends them to the user's terminal. This system includes the processes of inputting a self-introduction, analyzing the self-introduction, recognizing emotions, saving topics and generating features, generating bingo cards, and sending bingo cards. These processes are implemented using software and hardware.

[1393] First, the user enters a self-introduction into the input field of the terminal. For example, "Work has been busy and stressful lately, but I like spending time with my family on the weekends." Examples of prompts that are used include "Please enter a self-introduction:" and "Tell us about your hobbies and recent activities:".

[1394] Next, the device sends the self-introduction text entered by the user to the server by using an HTTP POST request to send the self-introduction text to the specified endpoint on the server.

[1395] The server then receives the self-introduction and temporarily stores it in storage. It then analyzes the self-introduction using natural language processing techniques. Specifically, it uses Python's NLTK and spaCy libraries to perform tokenization and morphological analysis, extracting key topics such as "work," "stress," "weekend," and "family."

[1396] The server then applies an emotion recognition engine to the topics extracted from the self-introduction, using Google Cloud's Natural Language API and IBM Watson's Tone Analyzer to recognize negative emotions, such as the keyword "stress," and positive emotions, such as the phrase "spending time with family."

[1397] Based on this, the server stores the topic in a database and generates a set of related features. For example, for the topic "family," features such as "family trip," "family get-together," and "family event" are set. If negative emotions are recognized, positive features that alleviate those emotions are also added.

[1398] The server generates each item on a bingo card based on the topics and characteristics retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "Fun things to do on the weekend," and "With family." The HTML template engine Jinja2 is used to place these items into an existing bingo card template.

[1399] Finally, the server sends the generated bingo card to the user's terminal, which displays the received bingo card and allows the user to start the bingo game.

[1400] For example, consider the following user input and its corresponding processing:

[1401] User A's input: "Work has been busy and stressful lately, but I love spending time with my family on the weekends."

[1402] Extracted topics: "Work," "Stress," "Weekend," "Family"

[1403] Perceived emotions: Negative (stress), Positive (spending time with family)

[1404] Generated bingo items: "I love my job," "How to relieve stress," "Fun on the weekend," and "With family."

[1405] User B typed: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I'm feeling a bit lonely."

[1406] Extracted topics: "music," "guitar," "movies," and "loneliness"

[1407] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[1408] Generated bingo items: "I like music," "I play guitar," "I love movies," and "I spend time with friends."

[1409] The system enhances the user experience by enabling the generation and delivery of individually customized bingo cards based on the user's biographical description.

[1410] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1411] Step 1: User Input

[1412] The user inputs a self-introduction into the input field of their device. For example, they input the text "I've been busy and stressed at work lately, but I like spending time with my family on the weekends." In this process, the user is presented with prompts such as "Please enter your self-introduction:" and "Tell us about your hobbies and recent activities:." The input data is natural language text.

[1413] Step 2: Submit your introduction

[1414] The device sends the self-introduction text entered by the user to the server by using an HTTP POST request to send the self-introduction text to the specified endpoint of the server. The input data is the self-introduction text and is sent to the server.

[1415] Step 3: Analyzing the self-introduction

[1416] The server receives the self-introduction and temporarily stores it in storage. Next, it performs natural language processing using Python's NLTK and spaCy libraries to tokenize and morphologically analyze the self-introduction. For example, a self-introduction such as "I've been busy and stressed lately at work, but I enjoy spending time with my family on the weekends" can be analyzed to extract major topics such as "work," "stress," "weekend," and "family." The input data is the self-introduction text, and the output data is a list of major topics.

[1417] Step 4: Emotion Recognition

[1418] The server applies an emotion recognition engine to the extracted topics, in this case using Google Cloud's Natural Language API or IBM Watson's Tone Analyzer. The emotion recognition engine evaluates the emotions associated with each topic, recognizing negative emotions from the keyword "stress" and positive emotions from the topic "spending time with family." The input data is a list of major topics, and the output data is a list of emotions associated with each topic.

[1419] Step 5: Topic storage and feature generation

[1420] The server stores topics in a database based on the emotions recognized by the emotion recognition engine. When storing, a feature set is generated for each topic. For example, features related to the topic "family" include "family trip," "family get-together," and "family event." If a negative emotion is recognized, positive features that alleviate that emotion are also added. The input data is a list of each topic and its emotion, and the output data is a database entry with the added feature set.

[1421] Step 6: Generate Bingo Cards

[1422] The server generates each item on a bingo card based on the topics and features retrieved from the database. For example, it generates items such as "I love my job," "How to relieve stress," "Fun things to do on the weekend," and "With family." Next, it places these items into an existing bingo card template using Jinja2, an HTML template engine, to complete the bingo card. The input data are database entries with the feature set added, and the output data is an HTML file of the bingo card.

[1423] Step 7: Send your bingo card

[1424] The server sends the completed bingo card to the user's device via HTTP protocol. The device displays the received bingo card and prepares the UI so that the user can start the bingo game. The input data is the bingo card HTML file, and the output is the displayed bingo card.

[1425] (Application example 2)

[1426] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1427] Conventional shopping experiences are not customized based on individual emotions and interests, making it difficult for users to find the products and benefits they truly desire. Furthermore, the lack of suggestions that respond to emotional changes makes it difficult to improve user satisfaction. Therefore, there is a need to improve user satisfaction by recognizing and analyzing user emotions and customizing the shopping experience based on those emotions.

[1428] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for inputting a self-introduction, a means for analyzing the self-introduction using natural language processing technology and extracting topics, a means for recognizing and analyzing emotions, a means for generating bingo card items based on the recognized emotions, and a means for transmitting the generated bingo card to the user terminal. This makes it possible to customize the shopping experience based on the user's emotions and interests.

[1429] The "self-introduction" is a sentence in which the user describes his / her interests, feelings, situation, etc.

[1430] "Natural language processing technology" is a technology that enables computers to understand and analyze human language.

[1431] A "topic" is the main theme or keyword that appears in your self-introduction.

[1432] "Emotion recognition" is a technology that estimates a user's emotions from text data.

[1433] "Bingo card items" are specific tasks or themes that are placed on the squares in a bingo game.

[1434] A "user terminal" is an electronic device (e.g., a smartphone, tablet, etc.) that a user uses to input information and receive results.

[1435] A "template" is a pre-prepared layout or format for arranging items on a bingo card.

[1436] "Benefits" are rewards or services provided to users after completing a bingo card or achieving certain conditions.

[1437] The following describes in detail the mode for carrying out the present invention. This system mainly analyzes self-introductions, performs emotion recognition, and generates individually customized bingo cards based on the results, and provides them to users.

[1438] Hardware and software used

[1439] User devices: smartphones, tablets, computers, etc.

[1440] Server: A server that runs natural language processing technology and emotion recognition engines

[1441] Natural Language Processing (NLP): SpaCy

[1442] Emotion recognition: TextBlob

[1443] Specific processing of the system

[1444] User self-introduction input

[1445] A user uses their smartphone or other device to enter a self-introduction into the input field of the dedicated application. For example, they might enter, "I've been busy and stressed out lately at work, but I like spending time with my family on the weekends."

[1446] Analysis of self-introductions

[1447] The device sends the self-introduction text that was entered to the server. The server receives the text, tokenizes it using natural language processing technology (SpaCy), and performs morphological analysis. For example, from the sentence "I've been busy with work lately and it's stressful, but I like spending time with my family on the weekends," keywords such as "work," "stress," "weekend," and "family" can be extracted.

[1448] emotion recognition

[1449] The server performs emotion recognition (TextBlob) on the extracted keywords. It recognizes negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family."

[1450] Bingo Card Generation

[1451] The server generates bingo card items based on the recognized emotions, such as "I love my job," "How to relieve stress," "Weekend fun," and "With family." The server then places the generated bingo items on a bingo card template to create a bingo card that the user can enjoy.

[1452] Send and display bingo cards

[1453] The completed bingo card is sent from the server to the user terminal, which displays the received bingo card and allows the user to start the bingo game.

[1454] Examples and prompts

[1455] For example, if a user enters the following self-description: "I love music and my hobby is playing the guitar. I've been watching a lot of movies lately, but I feel a bit lonely.":

[1456] Extracted topics: "Music," "Guitar," "Movies," "Loneliness"

[1457] Perceived emotions: positive (music, guitar, movies), negative (loneliness)

[1458] Generated bingo items: "I like music," "I play guitar," "I love movies," and "I spend time with friends."

[1459] (Example of a prompt)

[1460] "Analyze the user's self-description and suggest appropriate bingo card items. Self-description: 'Work has been busy and stressful lately, but I like looking for new gadgets.'"

[1461] This system makes it possible to provide a customized shopping experience that takes into account the user's emotions and interests.

[1462] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1463] Step 1:

[1464] The user enters a self-introduction into the input field of the dedicated application. For example, they might enter, "I've been busy and stressed out lately at work, but I enjoy spending time with my family on the weekends." The input is temporarily saved as text data on the device.

[1465] Step 2:

[1466] The terminal transmits the saved self-introduction to the server. The terminal transfers the self-introduction text as input to the server and receives it.

[1467] Step 3:

[1468] The server uses natural language processing technology (SpaCy) to tokenize the received self-introduction text and perform morphological analysis. It then extracts key topics (keywords) from the text data. For example, from the sentence, "I've been busy at work lately and feeling stressed, but I enjoy spending time with my family on the weekends," it extracts keywords such as "work," "stress," "weekend," and "family."

[1469] Step 4:

[1470] The server inputs the extracted keywords into an emotion recognition engine (TextBlob) to determine the emotion associated with each keyword. For example, it recognizes negative emotions from the keyword "stress" and positive emotions from the phrase "spending time with family." The output is the correspondence between keywords and their emotions.

[1471] Step 5:

[1472] The server generates bingo card items based on the recognized emotions, such as "I love my job," "How to relieve stress," "Fun on the weekend," and "With family." A list of bingo card items is generated as output.

[1473] Step 6:

[1474] The server places the generated bingo items into a bingo card template, embeds each item in this template, and completes the final bingo card. A customized bingo card is generated as the output.

[1475] Step 7:

[1476] The completed bingo card is sent from the server to the user's terminal, which displays the received bingo card and allows the user to start the bingo game.

[1477] This series of processes makes it possible to provide a customized shopping experience based on the user's emotions and interests.

[1478] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1479] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1480] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1481] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1482] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1483] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1484] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1485] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1486] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1487] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1488] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1489] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1490] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1491] 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.

[1492] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1493] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1494] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1495] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1496] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1497] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1498] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1499] The following is further disclosed regarding the above embodiment.

[1500] (Claim 1)

[1501] A means for inputting a self-introduction;

[1502] A means for analyzing the input self-introduction text using natural language processing technology and extracting key topics;

[1503] means for generating bingo card items based on the extracted topics;

[1504] means for transmitting the generated bingo card to a user terminal;

[1505] A system including:

[1506] (Claim 2)

[1507] 10. The system of claim 1, further comprising means for tokenizing the self-introduction text and extracting topics using morphological analysis.

[1508] (Claim 3)

[1509] 10. The system of claim 1, further comprising means for placing the generated bingo items on a bingo card template.

[1510] "Example 1"

[1511] (Claim 1)

[1512] A means for a user to input a self-introduction;

[1513] A means for analyzing the input self-introduction text and using natural language processing technology to extract key topics;

[1514] means for generating bingo card items based on the extracted topics;

[1515] means for transmitting the generated bingo card to a user terminal;

[1516] a means for displaying the bingo card received by the user terminal;

[1517] A system including:

[1518] (Claim 2)

[1519] 10. The system of claim 1, further comprising means for tokenizing the self-introduction text and extracting topics using morphological analysis.

[1520] (Claim 3)

[1521] 10. The system of claim 1, further comprising means for placing the generated bingo items on a bingo card template.

[1522] "Application Example 1"

[1523] (Claim 1)

[1524] A means for inputting a self-introduction;

[1525] A means for analyzing the input self-introduction text using natural language processing technology and extracting key topics;

[1526] means for generating bingo card items based on the extracted topics;

[1527] A promotion means for users to interact with each other at a store using bingo cards generated based on their self-introductions;

[1528] means for transmitting the generated bingo card to a user terminal;

[1529] A system including:

[1530] (Claim 2)

[1531] 10. The system of claim 1, further comprising means for tokenizing the self-introduction text and extracting topics using morphological analysis.

[1532] (Claim 3)

[1533] 10. The system of claim 1, further comprising means for placing the generated bingo items on a bingo card template, the means being used to stimulate conversation within the store.

[1534] "Example 2: Combining Emotion Engines"

[1535] (Claim 1)

[1536] A means for inputting a self-introduction;

[1537] A means for analyzing the input self-introduction text using natural language processing technology and extracting key topics;

[1538] a means for recognizing emotions based on the extracted topics;

[1539] a means for storing topics in a database based on the recognized sentiment and generating a feature set;

[1540] means for generating bingo card items based on the generated topics and features and placing the items on a bingo card template;

[1541] means for transmitting the generated bingo card to a user terminal;

[1542] A system including:

[1543] (Claim 2)

[1544] 10. The system of claim 1, further comprising means for tokenizing the self-introduction text and extracting topics using morphological analysis.

[1545] (Claim 3)

[1546] 10. The system of claim 1, further comprising means for using an emotion recognition engine to recognize emotions in the extracted topics.

[1547] "Application example 2 when combining emotion engines"

[1548] (Claim 1)

[1549] A means for inputting a self-introduction;

[1550] A means for analyzing the input self-introduction text using natural language processing technology and extracting key topics;

[1551] a means of recognizing and analyzing the extracted topics and sentiment;

[1552] means for generating bingo card items based on the recognized emotions;

[1553] means for transmitting the generated bingo card to a user terminal;

[1554] A system including:

[1555] (Claim 2)

[1556] 10. The system of claim 1, further comprising means for tokenizing the self-introduction text and extracting topics using morphological analysis, and generating positive and negative items based on the emotion recognition results.

[1557] (Claim 3)

[1558] 10. The system of claim 1, further comprising means for arranging the generated bingo items on a bingo card template and providing a reward according to the emotion. [Explanation of symbols]

[1559] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for inputting a self-introduction; A means for analyzing the input self-introduction text using natural language processing technology and extracting key topics; means for generating bingo card items based on the extracted topics; means for transmitting the generated bingo card to a user terminal; A system including:

2. The system of claim 1 , further comprising means for tokenizing the self-introduction text and extracting topics using morphological analysis.

3. 10. The system of claim 1, further comprising means for placing the generated bingo items on a bingo card template.

Images