system

Abstract

Provide a system. [Solution] means for collecting personal requests and characteristics input by a user; means for pre-processing the collected data; A means to convert the preprocessed data into a format that can be understood by the generative AI model; and A means for generating a variety of posthumous Buddhist name candidates using a generative AI model using the converted data; A means for selecting the most suitable posthumous name from the generated posthumous name candidates; means for presenting the selected posthumous Buddhist name to the user; a means for receiving user feedback and regenerating the posthumous name as needed; 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] Traditionally, Buddhist names are decided by the head priest of a temple, taking into consideration the individual's wishes and personality. However, this method can be biased based on the head priest's personal views and experiences. Furthermore, the process of deciding on a Buddhist name rarely offers a wide variety of options. Therefore, the challenge is to provide a diverse and fair selection of Buddhist names based on each user's individual wishes and characteristics, while respecting specific cultural and religious backgrounds. Furthermore, modern users are increasingly seeking Buddhist names that are efficient, fast, and satisfying, and it is necessary to meet their expectations. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following means. The system includes a means for collecting personal requests and characteristics input by a user, a means for preprocessing the collected data, a means for converting the preprocessed data into a format understandable by a generative AI model, a means for generating a variety of posthumous posthumous name candidates using the converted data through a generative AI model, a means for selecting the most appropriate posthumous posthumous name from the generated candidates, a means for presenting the selected posthumous posthumous name to the user, and a means for receiving user feedback and regenerating the posthumous posthumous name as necessary. This makes it possible to efficiently and quickly provide a variety of fair posthumous posthumous names while respecting Buddhist culture and religious background.

[0006] A "user" is an individual or group who wishes to use the system to generate a posthumous Buddhist name.

[0007] "Requests" refer to the characteristics and elements of the posthumous name desired by the user, such as specific kanji characters and meanings, or the personality and achievements of the deceased.

[0008] "Characteristics" are personal information or attributes provided by the user that relate to the deceased's personality, achievements, religious background, etc.

[0009] "Means of collection" refers to the interface or function that receives requests and characteristics from users as input.

[0010] "Preprocessing means" refers to the processes or functions that remove unnecessary information from collected data and convert it into a specific format.

[0011] A "generative AI model" is a model that uses artificial intelligence technology to create posthumous Buddhist names based on collected and preprocessed data.

[0012] "Posthumous name candidates" refer to multiple posthumous name ideas automatically generated by a generative AI model.

[0013] "Means for selecting the most suitable posthumous Buddhist name" refers to the process or function of selecting the name that best suits the user's needs and characteristics from among the multiple posthumous Buddhist name candidates generated.

[0014] "Presentation means" refers to the function or interface for displaying or providing the selected posthumous name to the user.

[0015] "Means for receiving feedback" refers to a function or interface for receiving user evaluations of submitted posthumous names and requests for regeneration.

[0016] "Means of regeneration" refers to the process or function of re-running the generative AI model based on user feedback to generate new posthumous Buddhist name candidates. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

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

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

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

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0032] 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.

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

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] This system collects user requests and characteristics and generates a variety of posthumous Buddhist names using a generative AI model. Below, we explain the program processing of this system in natural language.

[0039] Collecting input data

[0040] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[0041] Terminal: The terminal receives and collects information entered by the user.

[0042] Data Preprocessing

[0043] Terminal: The terminal preprocesses the collected data. This step involves removing unnecessary information and converting it into a specific format, for example, tokenizing certain strings.

[0044] Transforming model input data

[0045] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. For example, at this stage, the data is converted into a vector format.

[0046] Generation of Buddhist posthumous names

[0047] Server: The server sends the converted data to the generative AI model as input. The generative AI model then generates multiple posthumous Buddhist name candidates based on that data. For example, it generates candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0048] Server: The server selects from the generated posthumous name candidates the one that best suits the user's requests and characteristics.

[0049] Presentation of posthumous Buddhist name

[0050] Server: Sends the selected posthumous name to the terminal.

[0051] Terminal: The terminal presents the generated posthumous name to the user.

[0052] User Feedback

[0053] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0054] Terminal: The terminal sends the user feedback to the server and, if there is a regeneration request, starts the process again.

[0055] Specific examples

[0056] Example 1:

[0057] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0058] 2. Terminal: Receives data and performs preprocessing.

[0059] 3. Terminal: Sends preprocessed data to the server.

[0060] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[0061] 5. Server: Input data into the generative AI model, generating names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0062] 6. Server: Select "Jishoin Shotoku Kenshi" from the generated list.

[0063] 7. Server: Sends the selected posthumous name to the terminal.

[0064] 8. Terminal: Present "Jishoin Shotoku Kenshi" to the user.

[0065] 9. User: Click the "Regenerate" button to request a regeneration.

[0066] 10. Server: Generate new posthumous name candidates and present them again.

[0067] This system makes it possible to provide a diverse and fair range of posthumous Buddhist names efficiently and quickly, while respecting Buddhist culture and religious backgrounds.

[0068] The processing flow will be explained below.

[0069] Step 1:

[0070] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[0071] Step 2:

[0072] Terminal: The terminal receives and collects information entered by the user, such as "character of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0073] Step 3:

[0074] Terminal: Preprocesses the collected data. Specifically, it removes unnecessary information and tokenizes the information. For example, it converts "Deceased's personality: Merciful" into "Personality_Merciful".

[0075] Step 4:

[0076] Terminal: Sends preprocessed data to the server. For example, it sends data converted into "personality_benevolent", "kanji_lucky", and "background_Jodo sect".

[0077] Step 5:

[0078] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. Specifically, it converts the tokenized data into vector format, resulting in numerical data such as "[0.2, 0.4, -0.1]".

[0079] Step 6:

[0080] Server: Inputs the converted data into the generative AI model. Based on this, the model generates multiple posthumous Buddhist name candidates. For example, it outputs candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0081] Step 7:

[0082] Server: Evaluates the generated posthumous name candidates and selects the one that best suits the user's needs and characteristics. In this step, for example, "Jishoin Shotoku Kenshi" is selected as the best candidate.

[0083] Step 8:

[0084] Server: Sends the selected posthumous name to the terminal.

[0085] Step 9:

[0086] Terminal: The terminal presents the generated posthumous Buddhist name "Jishoin Shotoku Kenshi" to the user.

[0087] Step 10:

[0088] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0089] Step 11:

[0090] Terminal: The terminal sends the user feedback to the server. If a regeneration request is received, the process starts again from step 5.

[0091] Step 12:

[0092] Server: Generates new posthumous name candidates, evaluates and selects again, and sends the results to the terminal.

[0093] Example 1

[0094] 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."

[0095] Conventional posthumous Buddhist name generation systems have difficulty quickly providing customized posthumous Buddhist names in response to user requests, and have been unable to efficiently reflect user feedback. For this reason, there is a need for systems that can accurately generate posthumous Buddhist names that reflect the personality and wishes of the deceased.

[0096] 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.

[0097] In this invention, the server includes a means for collecting information input by a user, a means for preprocessing the collected data, and a means for converting the preprocessed data into a format understandable by the generative AI model. This enables data based on user requests to be quickly and accurately processed and converted into a format understandable by the generative AI model. The server also includes a means for generating a variety of name candidates using the converted data with the generative AI model, a means for selecting the best name from the generated name candidates, a means for presenting the selected name to the user, and a means for receiving user feedback and regenerating the name as necessary. This makes it possible to efficiently and quickly provide a variety of fair names and increase user satisfaction.

[0098] "User" refers to a person who utilizes the system to input information and receive output results.

[0099] "Information" refers to data about the deceased that is entered into the system, including personality, desired kanji characters, religious background, etc.

[0100] "Means of collection" refers to the process of receiving information entered by a user and storing it in a database.

[0101] "Preprocessing" refers to the process of removing unnecessary parts from collected information and converting it into a specific format.

[0102] A "generative AI model" refers to an artificial intelligence model that uses deep learning technology to generate diverse names and text from given data.

[0103] "Means of conversion" refers to the process of converting preprocessed data into a vector format or other format that can be understood by the generative AI model.

[0104] "Means for generating name candidates" refers to the process by which the generative AI model uses the converted data as input to generate multiple names.

[0105] "Means of selection" refers to the process of using an algorithm to select the best name from the generated name candidates.

[0106] "Presenting means" refers to the process of displaying the selected name to the user.

[0107] "Means for receiving feedback" refers to a process for receiving feedback information such as user opinions and requests for regeneration.

[0108] "Means of regeneration" refers to the process of regenerating new names based on user feedback.

[0109] This system generates a variety of names using a generative AI model based on information entered by the user. The system's program is composed of the following hardware and software:

[0110] Hardware and software used

[0111] Hardware:

[0112] Terminal: An interface device (e.g., computer, smartphone, tablet) through which a user inputs information.

[0113] Server: The main computing unit that processes data and generates names.

[0114] software:

[0115] Interface Application: An application that has a GUI for users to enter information.

[0116] Database Management System: A system for storing data collected from users.

[0117] Preprocessing algorithm: Software for preprocessing the collected data.

[0118] Generative AI models: For example, AI models that use deep learning techniques (such as GPT-3 (registered trademark)).

[0119] Data transformation utilities: Tools for converting pre-processed data into a format understandable by generative AI models.

[0120] Specific processing of the program

[0121] The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through an interface application. For example, the user can input information such as "Deceased's personality: compassionate," "Desired kanji: auspicious," and "Religious background: Buddhism."

[0122] The device receives the input information and stores it in a database. After the data is stored, a preprocessing algorithm is run to remove unnecessary information and convert the data into a specific format (e.g., JSON). During this stage, the input text is split into tokens and only the necessary information is extracted.

[0123] The server receives the preprocessed data and uses a data conversion utility to convert it into a format that the generative AI model can understand (e.g., vector format).The server then supplies the data as input to the generative AI model, which then generates name candidates based on the prompt sentence.

[0124] For example, the following prompt sentences are used:

[0125] "The deceased's personality was compassionate, their desired kanji was Xiang, and their religious background was Buddhism. Please generate a name based on this information."

[0126] The server receives multiple name candidates from the generative AI model and selects the best candidate using an appropriate algorithm. The selected name is then sent back to the device, which then presents it to the user. The user checks the name and, if satisfied, presses the "Approve" button; if not, presses the "Regenerate" button and sends feedback to the server. The user's feedback is used as the criteria for regeneration, and a new name is generated.

[0127] This system makes it possible to provide diverse and fair names efficiently and quickly, while respecting Buddhist culture and religious backgrounds.

[0128] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0129] Step 1: Collect input data

[0130] User: Accesses the terminal and inputs information (e.g., the personality of the deceased, desired kanji, religious background) through the interface.

[0131] Input: Text information entered by the user.

[0132] Output: Raw text information sent to the terminal.

[0133] Specific operation: When the user enters text information into the input form and presses the send button, the information is sent to the terminal.

[0134] Step 2: Storing and Preprocessing Data

[0135] Terminal: Stores the information received from the user in a database and applies pre-processing algorithms.

[0136] Input: Raw text information.

[0137] Data processing: Removing unnecessary information and converting it into a specific format (e.g., JSON format).

[0138] Output: Preprocessed data.

[0139] Specific operation: The terminal takes the input data, removes unnecessary spaces and special characters, and converts it to JSON format.

[0140] Step 3: Transform the data

[0141] Server: Converts preprocessed data into a format that can be understood by the generative AI model.

[0142] Input: Preprocessed data.

[0143] Data operations: Convert text data into a numeric vector format.

[0144] Output: Data in vector format that can be understood by a generative AI model.

[0145] Specific operation: The server analyzes the preprocessed data and converts it into the corresponding vectors.

[0146] Step 4: Generate a Buddhist name

[0147] Server: The converted data is input into a generative AI model to generate name candidates.

[0148] Input: Vector data and prompt.

[0149] Data Computation: Generate name suggestions based on generative AI models.

[0150] Output: Multiple name candidates.

[0151] Specific operation: The server sends data to the AI ​​model based on the prompt text, and generates multiple name candidates. For example, "The deceased's personality was compassionate, the desired kanji was auspicious, and the religious background was Buddhist. Please generate a name based on this information."

[0152] Step 5: Choose the best name

[0153] Server: Selects the best name from the generated name candidates.

[0154] Input: Multiple generated name candidates.

[0155] Data calculation: Algorithms are used to evaluate and select the best candidates.

[0156] Output: The selected name.

[0157] Specific behavior: The server scores the generated candidates and selects the one with the highest score.

[0158] Step 6: Name suggestion

[0159] Server: Sends the selected name to the device.

[0160] Input: Selected Name.

[0161] Output: The name that is presented to the user.

[0162] Specific operation: The server sends the selected name to the terminal, which displays it to the user.

[0163] Step 7: Receiving and regenerating feedback

[0164] User: Review the proposed name and provide feedback, pressing the "Regenerate" button if unhappy.

[0165] Input: User feedback information.

[0166] Output: Regeneration request or approval.

[0167] Specific operation: The user sends an evaluation of the provided name via the terminal and requests regeneration if necessary.

[0168] Terminal: Sends user feedback to the server.

[0169] Input: User feedback.

[0170] Output: Feedback data.

[0171] Specific operation: The device receives the user's feedback and sends it to the server.

[0172] Server: Takes user feedback and regenerates new names.

[0173] Input: Feedback data from users.

[0174] Data operation: Generate a new name based on the regeneration condition.

[0175] Output: Regenerated name candidates.

[0176] What happens: The server uses the feedback information to run the process again and provide the user with a new name.

[0177] (Application example 1)

[0178] 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."

[0179] Conventional posthumous Buddhist name generation systems can only be used online by users and are not designed for use in brick-and-mortar stores, making it difficult to provide services in brick-and-mortar stores such as Buddhist altar shops. Furthermore, generating posthumous Buddhist names requires specialized knowledge, making it often difficult to provide appropriate posthumous Buddhist names instantly.

[0180] 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.

[0181] In this invention, the server includes means for collecting personal requests and characteristics input by users, means for preprocessing the collected data, means for converting the preprocessed data into a format understandable by the generation AI model, means for allowing users to use the posthumous Buddhist name generation service on their own devices in a physical store via a smartphone application, and means for receiving user feedback and regenerating posthumous Buddhist names as necessary. This allows users to easily and quickly use the posthumous Buddhist name generation service even in physical stores such as Buddhist altar shops.

[0182] "User" refers to an individual or corporation that uses the system, specifically a customer who uses the posthumous name generation service.

[0183] "Requests" refer to the wishes and requirements that users provide to the system, specifically information such as the kanji characters they would like to use in their posthumous name and their religious background.

[0184] "Characteristics" refers to information that indicates attributes or personalities of the user or the deceased, and specifically includes the personality of the deceased.

[0185] "Means of collection" refers to the function for acquiring and storing input data from users.

[0186] "Preprocessing means" refers to data processing to convert collected data into a format that is easy for the AI ​​model to understand.

[0187] A "generative AI model" refers to artificial intelligence that generates posthumous Buddhist names and other information based on input data, and specifically includes deep learning models.

[0188] "Means for converting" refers to the ability to convert pre-processed data into a format understandable by the generative AI model.

[0189] "Means for generating a variety of Buddhist posthumous name candidates" refers to the function of generating multiple Buddhist posthumous name candidates using a generative AI model.

[0190] "Means of selection" refers to the function of selecting the most appropriate posthumous name from the multiple posthumous name candidates generated.

[0191] "Means of presentation" refers to the function of displaying and notifying the user of the selected posthumous Buddhist name.

[0192] "Means for regeneration" refers to the function of regenerating a new posthumous Buddhist name based on user feedback.

[0193] "Smartphone application" refers to software that runs on a smartphone and allows users to use the posthumous Buddhist name generation service.

[0194] "Physical store" refers to a physically existing commercial facility, specifically including Buddhist altar shops and other stores.

[0195] "Feedback" refers to reactions and opinions from users regarding the Buddhist posthumous names presented.

[0196] MODE FOR CARRYING OUT THE INVENTION

[0197] The present invention provides a system for enabling users to receive a posthumous Buddhist name generation service at a physical store using a smartphone application. Specific embodiments of the present invention are described below.

[0198] Hardware and Software Configuration

[0199] This system uses the following hardware and software:

[0200] User's device: Smartphone (iOS or ANDROID (registered trademark))

[0201] Server: Cloud server (e.g. AWS (registered trademark))

[0202] Software: Python, Flask, OpenAI (registered trademark) API

[0203] Database: PostgreSQL (stores user input data)

[0204] Data collection and preprocessing

[0205] Users launch their smartphone application and provide input data for generating a posthumous Buddhist name, including the deceased's personality, desired kanji characters, religious background, etc. The device collects this input data and stores it in a database.

[0206] On the device, the collected data is pre-processed, which involves cleaning and tokenizing the text data to convert it into a format that is easy for the AI ​​model to understand.

[0207] The process of generating Buddhist posthumous names

[0208] On the server, the preprocessed data is input into a generative AI model (e.g., OpenAI's generative AI model). This generates multiple posthumous Buddhist name candidates. From these candidates, the one that best suits the user's needs is selected.

[0209] Presentation and feedback of posthumous Buddhist names

[0210] The selected posthumous Buddhist name is presented to the user through the smartphone application's user interface. The user can confirm the presented posthumous Buddhist name and select "Approve" or "Regenerate." If "Regenerate" is selected, the server will regenerate the posthumous Buddhist name.

[0211] Examples of concrete examples and prompts

[0212] For example, if the user inputs "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Religious background: Jodo sect," the prompt text would be as follows:

[0213] Example prompt:

[0214] "The generative AI model generates a posthumous Buddhist name based on the following information: personality of the deceased: compassionate, desired kanji: auspicious, religious background: Jodo sect."

[0215] Based on this information, the generative AI model generates posthumous posthumous name candidates such as "Jishoin Shotoku Kenshi" and presents them to the user. This process makes it possible to provide a posthumous posthumous name generation service quickly and appropriately even in physical stores.

[0216] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0217] Step 1:

[0218] The user launches the smartphone application and provides input data for generating a posthumous Buddhist name. The user fills in the application's input form with information such as the deceased's personality, desired kanji, and religious background. This input data is received by the application and sent to the device. Input data includes, for example, "personality of the deceased: compassionate," "desired kanji: auspicious," and "religious background: Jodo sect."

[0219] Step 2:

[0220] The terminal collects input data sent by the user and saves it in a database. During this process, a database management system (such as PostgreSQL) is used to store the data in an appropriate format. Once the input data is saved, it can be used for subsequent processing.

[0221] Step 3:

[0222] The terminal preprocesses the collected data. This preprocessing step removes unnecessary information from the input data, cleans and tokenizes the text data, for example, removing special characters and unnecessary whitespace, and extracting only the necessary data. As a result of preprocessing, the data is output in a clean format.

[0223] Step 4:

[0224] The device sends the preprocessed data to a server, which converts the received data into a format that the generative AI model can understand. This conversion process involves converting the data into vector format. The converted data is then used as input for the generative AI model.

[0225] Step 5:

[0226] The server inputs the converted data into a generative AI model to generate candidate posthumous Buddhist names. Using a generative AI model (such as the OpenAI API), the server outputs multiple candidate posthumous Buddhist names based on the user's requests. Examples of generated candidate posthumous Buddhist names include "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0227] Step 6:

[0228] The server selects the most suitable name from the generated candidates. Here, the name that best fits the user's needs and characteristics is selected. The selected name is presented to the user in the next step.

[0229] Step 7:

[0230] The server sends the selected posthumous name to the terminal, which then presents it to the user through the application's user interface. The user can then confirm the name and select "Approve" or "Regenerate."

[0231] Step 8:

[0232] If the user selects "regenerate," the device sends a regeneration request to the server. The server then inputs the data into the generative AI model again to generate new posthumous Buddhist name candidates. The regenerated candidates are also presented to the user, and this process is repeated until the user is satisfied.

[0233] 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.

[0234] This invention is a system that collects user requests and characteristics and generates various posthumous Buddhist names using a generative AI model and an emotion engine. Below, the program processing of this system is explained in natural language.

[0235] Collecting input data

[0236] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[0237] Terminal: The terminal receives and collects information entered by the user.

[0238] Data Preprocessing

[0239] Terminal: The terminal preprocesses the collected data. In this step, unnecessary information is removed and the information is tokenized. For example, "Deceased's personality: Merciful" is converted to "Personality_Merciful".

[0240] Transforming model input data

[0241] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. For example, at this stage, the data is converted into a vector format.

[0242] Generation of Buddhist posthumous names

[0243] Server: Inputs the converted data into the generative AI model. Based on this, the model generates multiple posthumous Buddhist name candidates. For example, it outputs candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0244] Server: Evaluates the generated posthumous name candidates and selects the one that best suits the user's needs and characteristics. In this step, for example, "Jishoin Shotoku Kenshi" is selected as the best candidate.

[0245] Use of emotion engine

[0246] Server: The server uses the emotion engine to analyze the user's emotions from the collected user requests and characteristic data. Based on the analysis results, the server further generates or selects the posthumous name that best suits the user's emotions.

[0247] Presentation of posthumous Buddhist name

[0248] Server: Sends the selected posthumous name to the terminal.

[0249] Terminal: The terminal presents the generated posthumous name to the user.

[0250] User Feedback

[0251] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0252] Terminal: Using the emotion engine, the terminal analyzes the user's emotions when the user gives feedback. Based on the analysis results, the conditions for regenerating the posthumous Buddhist name are set.

[0253] Terminal: Sends feedback data and sentiment analysis results to the server. If a regeneration request is received, the posthumous name generation process is started again.

[0254] Specific examples

[0255] Example 1:

[0256] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0257] 2. Terminal: Receives data and performs preprocessing.

[0258] 3. Terminal: Sends preprocessed data to the server.

[0259] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[0260] 5. Server: Input data into the generative AI model, generating names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0261] 6. Server: Select "Jishoin Shotoku Kenshi" from the generated list.

[0262] 7. Server: Based on the collected user data, the emotion engine is used to analyze the user's emotions and select the generated posthumous name "Jishoin Shotoku Kenshi."

[0263] 8. Server: The selected posthumous Buddhist name is sent to the terminal, and the terminal presents "Jishoin Shotoku Kenshi" to the user.

[0264] 9. User: Click the "Regenerate" button to request a regeneration.

[0265] 10. Terminal: Use the emotion engine during feedback and set the regeneration conditions based on the analysis results.

[0266] 11. Server: Generate new posthumous name candidates, evaluate and select again, and send the results to the terminal.

[0267] This system makes it possible to efficiently and quickly provide diverse and fair posthumous names while respecting Buddhist culture and religious background. In addition, by utilizing an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[0268] The processing flow will be explained below.

[0269] Step 1:

[0270] User: The user accesses the terminal and inputs the deceased's personality, desired kanji, religious background, and other requests through the interface. For example, the user can input information such as "Deceased's personality: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0271] Step 2:

[0272] Terminal: The terminal receives the information entered by the user and stores it in a database.

[0273] Step 3:

[0274] Terminal: Preprocesses the collected data. In this step, unnecessary information is removed and the information is tokenized. For example, the input "Character of the deceased: Merciful" is converted to a format such as "Character_Merciful." Also, "Desired Kanji: Xiang" is converted to "Kanji_Xiang."

[0275] Step 4:

[0276] Terminal: The preprocessed data is formatted for data transfer (e.g., JSON format) and sent to the server.

[0277] Step 5:

[0278] Server: The server receives preprocessed data sent from the device, such as "personality_benevolent", "kanji_lucky", and "background_Jodo sect".

[0279] Step 6:

[0280] Server: Converts the received data into a format that the generative AI model can understand, such as vector format, using appropriate data preprocessing scripts.

[0281] Step 7:

[0282] Server: The converted data is input into the generative AI model. Based on this, the generative AI model generates multiple posthumous name candidates. For example, candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[0283] Step 8:

[0284] Server: Evaluates the generated multiple posthumous name candidates and selects the one that best suits the user's needs and characteristics. This evaluation uses the matching scores between the model's output data and the user's input data.

[0285] Step 9:

[0286] Server: Using the emotion engine, analyze the user's emotions based on the user's requests and feature data. Based on the analysis results, select or generate a posthumous name that best suits the user's emotions. In this step, an emotion analysis model is used.

[0287] Step 10:

[0288] Server: Sends the selected posthumous name to the terminal. For example, it may be sent in the format "Optimal posthumous name: Jishoin Shotoku Kenshi."

[0289] Step 11:

[0290] Terminal: The terminal presents the generated posthumous name, "Jishoin Shotoku Kenshi," to the user. The presentation interface includes a confirmation button and a regeneration button.

[0291] Step 12:

[0292] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0293] Step 13:

[0294] Terminal: When the user presses the "Regenerate" button, the system collects feedback. Furthermore, it uses an emotion engine to analyze the user's emotions. Based on these results, it sets new conditions for regenerating the posthumous name.

[0295] Step 14:

[0296] Terminal: Sends feedback data and emotion analysis results to the server.

[0297] Step 15:

[0298] Server: If a regeneration request is received, start the process again from step 5 to generate and evaluate new posthumous name candidates.

[0299] This system makes it possible to efficiently and quickly provide diverse and fair posthumous names while respecting Buddhist culture and religious background. In addition, by utilizing an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[0300] Example 2

[0301] 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."

[0302] In conventional posthumous Buddhist name generation systems, it is difficult to reflect the user's wishes and characteristics, and the generated posthumous Buddhist name may not match the user's feelings. As a result, there is a problem in that it is not possible to quickly provide a posthumous Buddhist name that satisfies the user.

[0303] 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 means for collecting information input by the user, means for preprocessing the collected information, means for converting the preprocessed information into a format understandable by the generative AI model, means for generating various candidates using the generative AI model using the converted information, means for selecting the optimal one from the generated candidates, means for presenting the selected candidate to the user, means for receiving user feedback and regenerating candidates as necessary, and means for analyzing the user's emotions using an emotion analysis engine and reflecting the results in the generation process. This makes it possible to quickly and accurately provide posthumous Buddhist names that meet the individual needs of the user.

[0304] "Means for collecting information entered by the user" refers to a device or program that receives information entered by the user, such as the deceased's personality, desired kanji characters, religious background, etc., and stores that information as data.

[0305] "Means for preprocessing collected information" refers to a device or program that executes a process to remove unnecessary data from input information and to tokenize or format necessary information.

[0306] "Means for converting preprocessed information into a format understandable by the generative AI model" refers to a device or program that converts preprocessed text data into numerical or vector data and processes it into a format that can be analyzed by the generative AI model.

[0307] "Means for generating a variety of candidates using a generative AI model using the converted information" refers to a device or program that inputs data into a generative AI model and executes the process of generating multiple candidate results (e.g., posthumous Buddhist name candidates).

[0308] "Means for selecting the best one from the generated candidates" refers to a device or program that executes the process of evaluating and selecting the one that best suits the user's needs and characteristics from the multiple generated candidates.

[0309] The "means for presenting the selected candidate to the user" refers to a device or program that executes a process of transmitting the selected candidate from the server to the terminal and displaying it in a form that can be confirmed by the user.

[0310] The "means for receiving user feedback and regenerating candidates as necessary" refers to a device or program that allows the user to input their satisfaction or dissatisfaction with the presented candidates and executes the candidate generation process again based on that feedback information.

[0311] "Means for analyzing user emotions using an emotion analysis engine and reflecting the results in the generation process" refers to a device or program that analyzes emotions based on information and feedback collected from users and uses the analysis results in the next candidate generation process.

[0312] A "deep learning model" is a machine learning model that uses a multi-layer neural network to learn features from data and perform advanced analysis and generation.

[0313] MODE FOR CARRYING OUT THE INVENTION

[0314] This paper describes a system that collects user requests and characteristics and generates various posthumous Buddhist names using a generative AI model and an emotion engine. The configuration and operation of this system are explained, along with each component, the technologies used, and specific examples.

[0315] Collecting input data

[0316] User: The user accesses the device through a browser or a dedicated application and uses an input form to enter information about the deceased person's personality, desired kanji, religious background, etc. For example, the user enters information such as "personality of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0317] Data Preprocessing

[0318] Terminal: The terminal receives the information entered by the user and performs preprocessing. Preprocessing includes removing unnecessary information, tokenizing the text data, and format conversion. For example, "Deceased's personality: Merciful" can be converted to "Personality_Merciful."

[0319] Transforming model input data

[0320] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. Specifically, it encodes the text data into a numeric vector and maps each feature to the appropriate dimension. This conversion process may use a popular natural language processing toolkit (e.g., NLTK or spaCy).

[0321] Generation of Buddhist posthumous names

[0322] Server: The server inputs the encoded data into the generative AI model, which uses deep learning text generation technology to generate multiple posthumous Buddhist name candidates. For example, candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[0323] Candidate Selection

[0324] Server: From the generated posthumous name candidates, select the one that best suits the user's requests and characteristics. The evaluation criteria are based on the AI ​​model's scoring algorithm.

[0325] Use of emotion engine

[0326] Server: The server uses an emotion engine to analyze the user's emotions based on the collected user requests and characteristic data. Based on the analysis results, a process is carried out to select the posthumous Buddhist name that best suits the user's emotions. For example, if the user's emotions indicate "feelings of peace," "Jishoin Shotoku Kenshi" may be selected.

[0327] Presentation of posthumous Buddhist name

[0328] Server: Sends the selected posthumous name to the terminal. The REST API is generally used as the communication protocol, and the selected posthumous name is often sent in JSON format.

[0329] Terminal: The terminal presents the generated posthumous name to the user. For example, it displays "Jishoin Shotoku Kenshi" on the screen.

[0330] User Feedback

[0331] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0332] Terminal: Receives user feedback and analyzes the information through a sentiment analysis engine.

[0333] Terminal: The feedback data and emotion analysis results are sent to the server, and if a regeneration process is required, the posthumous name is generated again.

[0334] Specific examples

[0335] Example 1:

[0336] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0337] 2. Terminal: Receives data and performs preprocessing.

[0338] 3. Terminal: Sends preprocessed data to the server.

[0339] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[0340] 5. Server: Input data into the generative AI model and generate a large number of Buddhist posthumous names.

[0341] 6. Server: Select the best candidate from the generated ones and choose "Jishoin Shotoku Kenshi."

[0342] 7. Server: Analyzes the user's emotions using an emotion engine and selects the most appropriate posthumous name based on the analysis results.

[0343] 8. Server: The selected posthumous Buddhist name is sent to the terminal, and the terminal presents "Jishoin Shotoku Kenshi" to the user.

[0344] 9. User: Click the "Regenerate" button to request a regeneration.

[0345] 10. Terminal: Set the regeneration conditions based on the feedback and send it to the server again.

[0346] 11. Server: Generate new posthumous name candidates, re-evaluate and re-select, and send the results to the terminal.

[0347] This system makes it possible to efficiently and quickly provide a variety of posthumous Buddhist names that respect Buddhist culture and religious background. In addition, by using an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[0348] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0349] Step 1:

[0350] User: The user accesses the device through a browser or a dedicated application and uses an input form to enter information about the deceased person's personality, desired kanji, religious background, etc. For example, the user enters information such as "personality of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0351] Input: Information entered by the user into the device

[0352] Output: Collected user information (text format)

[0353] Step 2:

[0354] Terminal: The terminal receives the input information and performs preprocessing. Preprocessing includes removing unnecessary information, tokenizing the text data, and format conversion. For example, it converts "Deceased's personality: Merciful" into "Personality_Merciful".

[0355] Input: Collected user information (text format)

[0356] Output: Preprocessed data (tokenized text format)

[0357] Step 3:

[0358] Terminal: Converts preprocessed data into JSON format or other format and sends it to the server.

[0359] Input: Preprocessed data (tokenized text format)

[0360] Output: JSON format data

[0361] Step 4:

[0362] Server: The server converts the preprocessed data received from the device into a format that the generative AI model can understand. Specifically, it encodes the text data into numeric vectors and maps each feature to the appropriate dimension. This can be achieved using a natural language processing toolkit (such as NLTK or spaCy).

[0363] Input: JSON format data

[0364] Output: Numerical vector data for generative AI models

[0365] Step 5:

[0366] Server: The generated numerical vector data is input into the generative AI model. The model uses deep learning technology to generate multiple posthumous Buddhist name candidates. For example, posthumous Buddhist names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[0367] Input: Numerical vector data for generative AI models

[0368] Output: Multiple posthumous name candidates

[0369] Step 6:

[0370] Server: From the generated posthumous name candidates, select the one that best suits the user's requests and characteristics. The selection is based on the AI ​​model's scoring algorithm, and the most suitable posthumous name is selected.

[0371] Input: Multiple posthumous name candidates

[0372] Output: Best posthumous name candidate (e.g. "Jishoin Shotoku Kenshi")

[0373] Step 7:

[0374] Server: Using the emotion engine, the emotion is analyzed from the user's request and characteristic data. Based on the analysis results, an additional process is performed to select the posthumous name that best suits the user's emotion.

[0375] Input: User requests and characteristic data

[0376] Output: The final posthumous name taking into account the results of sentiment analysis (e.g., "Jishoin Shotoku Kenshi")

[0377] Step 8:

[0378] Server: The selected posthumous name is sent to the terminal. The REST API is used as the communication protocol, and the posthumous name is sent in JSON format.

[0379] Input: Final posthumous name taking into account the results of sentiment analysis

[0380] Output: JSON format data to send to the terminal

[0381] Step 9:

[0382] Terminal: The terminal analyzes the received data and presents the posthumous Buddhist name to the user. For example, it displays "Jishoin Shotoku Kenshi" on the screen.

[0383] Input: JSON format posthumous name data

[0384] Output: The posthumous name presented to the user

[0385] Step 10:

[0386] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0387] Input: User feedback (approval or regeneration)

[0388] Output: Feedback data

[0389] Step 11:

[0390] Terminal: Receives user feedback and analyzes it using the emotion engine. Based on the results, it sets the regeneration conditions and sends them to the server.

[0391] Input: Feedback data

[0392] Output: JSON format data containing the regeneration conditions

[0393] Step 12:

[0394] Server: Receives the regeneration request and re-runs the process of generating new posthumous name candidates. For example, new candidates are generated and evaluated / selected again.

[0395] Input: JSON format data containing regeneration conditions

[0396] Output: New posthumous name candidates and evaluation results

[0397] (Application example 2)

[0398] 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."

[0399] On modern online shopping sites, users are faced with a vast amount of product information, making it difficult to choose products that suit their preferences. Furthermore, many existing recommendation systems do not take user emotions into account, and often make recommendations that dissatisfy users. Therefore, there is a need for a personalized product recommendation system that takes into account not only user preferences and needs, but also emotions.

[0400] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting personal requests and characteristics input by the user, means for preprocessing the collected data, means for converting the preprocessed data into a format understandable by the generative AI model, means for generating various posthumous posthumous name candidates using the converted data with the generative AI model, means for selecting the most appropriate one from the generated posthumous posthumous name candidates, means for presenting the selected posthumous posthumous name to the user, means for receiving user feedback and regenerating the posthumous posthumous name as needed, means for collecting user preferences and needs and generating optimal product recommendations using the generative AI model, means for presenting the generated product recommendations to the user, and means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions. This enables personalized product recommendations that are tailored to the user's individual preferences and emotions.

[0401] "Means for collecting personal requests and characteristics input by users" refers to devices or software for acquiring information input by users using terminals.

[0402] "Means for preprocessing collected data" refers to devices or software that convert acquired data into a format that is easy to analyze by tokenizing it, removing unnecessary information, etc.

[0403] "Means for converting preprocessed data into a format understandable by the generative AI model" refers to a device or software for converting preprocessed data into a data format (e.g., vector format) that can be appropriately processed by the generative AI model.

[0404] "Means for generating a variety of Buddhist posthumous name candidates using a generative AI model" refers to a device or software that uses a generative AI model to create multiple Buddhist posthumous name candidates based on user information.

[0405] "Means for selecting the most suitable posthumous name from among the posthumous name candidates" refers to a device or software that selects the posthumous name that best suits the user's requests and characteristics from among the multiple posthumous name candidates that have been generated.

[0406] "Means for presenting the selected posthumous Buddhist name to the user" refers to a device or software for displaying or notifying the user of the selected posthumous Buddhist name.

[0407] "Means for receiving user feedback and regenerating posthumous names as necessary" refers to a device or software that regenerates posthumous names in response to user evaluations and requests.

[0408] "Means for collecting user preferences and needs and generating optimal product recommendations using a generative AI model" refers to a device or software that collects information such as a user's purchase history, preferences, and budget, and recommends optimal products using a generative AI model.

[0409] The "means for presenting the generated product recommendations to the user" refers to a device or software for displaying or notifying the user of the recommended products.

[0410] "Means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions" refers to a device or software that analyzes user emotion data and further evaluates or regenerates product recommendations based on the results.

[0411] The present invention is a system that collects user requests and characteristics, and generates various posthumous Buddhist names and product recommendations using a generative AI model and an emotion engine. Specific embodiments of the system are described below.

[0412] System Configuration

[0413] The system mainly includes the following elements:

[0414] 1. Device: The device that collects information entered by the user (e.g., smartphone, computer, etc.).

[0415] 2. Server: The computer system responsible for preprocessing the data, running the generative AI model, processing the emotion engine, and transmitting the results.

[0416] 3. Generative AI model: An artificial intelligence model (e.g., GPT-3) that generates a variety of posthumous name candidates and product recommendations based on user requests and characteristics.

[0417] 4. Emotion Engine: An engine (e.g., EmotionEngine) for analyzing user emotions and evaluating and regenerating generated posthumous name candidates and product recommendations.

[0418] Program processing

[0419] 1. User Information Collection

[0420] Users input information such as their personal needs, characteristics, purchase history, preferences, and budget through a terminal, using an interface.

[0421] example:

[0422] The user enters into the terminal, "Past purchase history: shoes, bags," "Preferences: casual, blue," and "Budget: 10,000 yen."

[0423] 2. Data Preprocessing

[0424] The device pre-processes the collected data, removing unnecessary information and performing processes such as tokenization.

[0425] 3. Transformation of model input data

[0426] The server converts the preprocessed data into a format that the generative AI model can understand, by converting the data into vector format.

[0427] 4. Generate posthumous names and product recommendations

[0428] The server inputs the converted data into a generative AI model to generate a variety of posthumous name candidates and product recommendations.

[0429] example:

[0430] The generative AI model outputs suggestions such as "Jishoin Shotoku Kenshi," "Shozenin Tokuju Jiei," "casual blue sneakers," and "blue casual bag."

[0431] 5. Select a posthumous name and recommended products

[0432] The server selects the best one from the generated candidates, taking into consideration the user's requests and characteristics.

[0433] 6. Use of Emotion Engines

[0434] The server uses an emotion engine to analyze the user's emotions, and then selects the most appropriate posthumous name and product recommendations. It also regenerates them as necessary.

[0435] 7. Presentation of results

[0436] The server transmits the selected posthumous name and product recommendations to the terminal and presents them to the user.

[0437] example:

[0438] Prompt: "We're looking for the perfect product for you based on your past purchases. What kind of item are you looking for?"

[0439] 8. Use of User Feedback

[0440] The user provides feedback on the presented results, which is used in the next generation process.

[0441] This allows the system to provide personalized posthumous name generation and product recommendations that are in line with each user's individual needs and feelings.

[0442] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0443] Step 1:

[0444] The user uses the device to input information such as personal requests, characteristics, purchase history, preferences, and budget through the interface. This information becomes input data. For example, a user might input "Past purchase history: shoes, bags," "Preferences: casual, blue," and "Budget: 10,000 yen." The device collects this information.

[0445] Step 2:

[0446] The device preprocesses the collected data. First, it removes unnecessary information and extracts the important information. Then it tokenizes the data and converts it into a format that is easy for the generative AI model to handle. For example, it converts "Past purchase history: shoes, bags" into "Purchase history_shoes, purchase history_bags." The output is the preprocessed data.

[0447] Step 3:

[0448] The server receives the preprocessed data and converts it into a format that the generative AI model can understand. This operation involves data processing, such as converting text data into vector format. The input is the preprocessed data, and the output is the model input data.

[0449] Step 4:

[0450] The server inputs model input data into the generative AI model and generates a variety of posthumous Buddhist name candidates and product recommendations. For example, posthumous Buddhist names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" and product candidates such as "casual blue sneakers" and "blue casual bag" are generated. The output is the generated posthumous Buddhist name candidates and product recommendations.

[0451] Step 5:

[0452] The server selects from the generated posthumous name candidates and product recommendations those that best fit the user's needs and characteristics. This selection process uses scoring and ranking. The input is the generated posthumous name candidates and product recommendations, and the output is the optimal posthumous name candidate and product recommendation.

[0453] Step 6:

[0454] The server uses an emotion engine to analyze the user's emotions and select or regenerate more optimal posthumous names and product recommendations based on the emotions. The recommendations are reevaluated or regenerated based on the emotion data. The input is the user's emotion data and the selected posthumous names and product recommendations, and the output is the final posthumous names and product recommendations.

[0455] Step 7:

[0456] The server sends the final selected posthumous name and product recommendations to the terminal, which then presents them to the user. For example, a prompt message such as "We are searching for the best product for you based on your past purchase history. What kind of item are you looking for?" is displayed, and the generated results are then displayed. The output is the posthumous name and product recommendations presented to the user.

[0457] Step 8:

[0458] The user provides feedback on the presented results. The feedback includes a simple evaluation such as "satisfied" or "dissatisfied," and the terminal collects this. The input is the user's feedback, and the output is the collected feedback data.

[0459] Step 9:

[0460] The terminal sends the collected feedback data to the server, which uses this data to set the conditions for regeneration. If the regeneration process is necessary, steps 4 to 7 described above are executed again. The input is the feedback data, and the output is the regenerated posthumous name or product recommendation.

[0461] 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.

[0462] 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.

[0463] 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.

[0464] [Second embodiment]

[0465] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0466] 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.

[0467] 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).

[0468] 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.

[0469] 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.

[0470] 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).

[0471] 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.

[0472] 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.

[0473] 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.

[0474] 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.

[0475] 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.

[0476] 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."

[0477] This system collects user requests and characteristics and generates a variety of posthumous Buddhist names using a generative AI model. Below, we explain the program processing of this system in natural language.

[0478] Collecting input data

[0479] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[0480] Terminal: The terminal receives and collects information entered by the user.

[0481] Data Preprocessing

[0482] Terminal: The terminal preprocesses the collected data. This step involves removing unnecessary information and converting it into a specific format, for example, tokenizing certain strings.

[0483] Transforming model input data

[0484] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. For example, at this stage, the data is converted into a vector format.

[0485] Generation of Buddhist posthumous names

[0486] Server: The server sends the converted data to the generative AI model as input. The generative AI model then generates multiple posthumous Buddhist name candidates based on that data. For example, it generates candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0487] Server: The server selects from the generated posthumous name candidates the one that best suits the user's requests and characteristics.

[0488] Presentation of posthumous Buddhist name

[0489] Server: Sends the selected posthumous name to the terminal.

[0490] Terminal: The terminal presents the generated posthumous name to the user.

[0491] User Feedback

[0492] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0493] Terminal: The terminal sends the user feedback to the server and, if there is a regeneration request, starts the process again.

[0494] Specific examples

[0495] Example 1:

[0496] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0497] 2. Terminal: Receives data and performs preprocessing.

[0498] 3. Terminal: Sends preprocessed data to the server.

[0499] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[0500] 5. Server: Input data into the generative AI model, generating names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0501] 6. Server: Select "Jishoin Shotoku Kenshi" from the generated list.

[0502] 7. Server: Sends the selected posthumous name to the terminal.

[0503] 8. Terminal: Present "Jishoin Shotoku Kenshi" to the user.

[0504] 9. User: Click the "Regenerate" button to request a regeneration.

[0505] 10. Server: Generate new posthumous name candidates and present them again.

[0506] This system makes it possible to provide a diverse and fair range of posthumous Buddhist names efficiently and quickly, while respecting Buddhist culture and religious backgrounds.

[0507] The processing flow will be explained below.

[0508] Step 1:

[0509] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[0510] Step 2:

[0511] Terminal: The terminal receives and collects information entered by the user, such as "character of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0512] Step 3:

[0513] Terminal: Preprocesses the collected data. Specifically, it removes unnecessary information and tokenizes the information. For example, it converts "Deceased's personality: Merciful" into "Personality_Merciful".

[0514] Step 4:

[0515] Terminal: Sends preprocessed data to the server. For example, it sends data converted into "personality_benevolent", "kanji_lucky", and "background_Jodo sect".

[0516] Step 5:

[0517] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. Specifically, it converts the tokenized data into vector format, resulting in numerical data such as "[0.2, 0.4, -0.1]".

[0518] Step 6:

[0519] Server: Inputs the converted data into the generative AI model. Based on this, the model generates multiple posthumous Buddhist name candidates. For example, it outputs candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0520] Step 7:

[0521] Server: Evaluates the generated posthumous name candidates and selects the one that best suits the user's needs and characteristics. In this step, for example, "Jishoin Shotoku Kenshi" is selected as the best candidate.

[0522] Step 8:

[0523] Server: Sends the selected posthumous name to the terminal.

[0524] Step 9:

[0525] Terminal: The terminal presents the generated posthumous Buddhist name "Jishoin Shotoku Kenshi" to the user.

[0526] Step 10:

[0527] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0528] Step 11:

[0529] Terminal: The terminal sends the user feedback to the server. If a regeneration request is received, the process starts again from step 5.

[0530] Step 12:

[0531] Server: Generates new posthumous name candidates, evaluates and selects again, and sends the results to the terminal.

[0532] Example 1

[0533] 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."

[0534] Conventional posthumous Buddhist name generation systems have difficulty quickly providing customized posthumous Buddhist names in response to user requests, and have been unable to efficiently reflect user feedback. For this reason, there is a need for systems that can accurately generate posthumous Buddhist names that reflect the personality and wishes of the deceased.

[0535] 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.

[0536] In this invention, the server includes a means for collecting information input by a user, a means for preprocessing the collected data, and a means for converting the preprocessed data into a format understandable by the generative AI model. This enables data based on user requests to be quickly and accurately processed and converted into a format understandable by the generative AI model. The server also includes a means for generating a variety of name candidates using the converted data with the generative AI model, a means for selecting the best name from the generated name candidates, a means for presenting the selected name to the user, and a means for receiving user feedback and regenerating the name as necessary. This makes it possible to efficiently and quickly provide a variety of fair names and increase user satisfaction.

[0537] "User" refers to a person who utilizes the system to input information and receive output results.

[0538] "Information" refers to data about the deceased that is entered into the system, including personality, desired kanji characters, religious background, etc.

[0539] "Means of collection" refers to the process of receiving information entered by a user and storing it in a database.

[0540] "Preprocessing" refers to the process of removing unnecessary parts from collected information and converting it into a specific format.

[0541] A "generative AI model" refers to an artificial intelligence model that uses deep learning technology to generate diverse names and text from given data.

[0542] "Means of conversion" refers to the process of converting preprocessed data into a vector format or other format that can be understood by the generative AI model.

[0543] "Means for generating name candidates" refers to the process by which the generative AI model uses the converted data as input to generate multiple names.

[0544] "Means of selection" refers to the process of using an algorithm to select the best name from the generated name candidates.

[0545] "Presenting means" refers to the process of displaying the selected name to the user.

[0546] "Means for receiving feedback" refers to a process for receiving feedback information such as user opinions and requests for regeneration.

[0547] "Means of regeneration" refers to the process of regenerating new names based on user feedback.

[0548] This system generates a variety of names using a generative AI model based on information entered by the user. The system's program is composed of the following hardware and software:

[0549] Hardware and software used

[0550] Hardware:

[0551] Terminal: An interface device (e.g., computer, smartphone, tablet) through which a user inputs information.

[0552] Server: The main computing unit that processes data and generates names.

[0553] software:

[0554] Interface Application: An application that has a GUI for users to enter information.

[0555] Database Management System: A system for storing data collected from users.

[0556] Preprocessing algorithm: Software for preprocessing the collected data.

[0557] Generative AI models: For example, AI models that use deep learning techniques (such as GPT-3).

[0558] Data transformation utilities: Tools for converting pre-processed data into a format understandable by generative AI models.

[0559] Specific processing of the program

[0560] The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through an interface application. For example, the user can input information such as "Deceased's personality: compassionate," "Desired kanji: auspicious," and "Religious background: Buddhism."

[0561] The device receives the input information and stores it in a database. After the data is stored, a preprocessing algorithm is run to remove unnecessary information and convert the data into a specific format (e.g., JSON). During this stage, the input text is split into tokens and only the necessary information is extracted.

[0562] The server receives the preprocessed data and uses a data conversion utility to convert it into a format that the generative AI model can understand (e.g., vector format).The server then supplies the data as input to the generative AI model, which then generates name candidates based on the prompt sentence.

[0563] For example, the following prompt sentences are used:

[0564] "The deceased's personality was compassionate, their desired kanji was Xiang, and their religious background was Buddhism. Please generate a name based on this information."

[0565] The server receives multiple name candidates from the generative AI model and selects the best candidate using an appropriate algorithm. The selected name is then sent back to the device, which then presents it to the user. The user checks the name and, if satisfied, presses the "Approve" button; if not, presses the "Regenerate" button and sends feedback to the server. The user's feedback is used as the criteria for regeneration, and a new name is generated.

[0566] This system makes it possible to provide diverse and fair names efficiently and quickly, while respecting Buddhist culture and religious backgrounds.

[0567] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0568] Step 1: Collect input data

[0569] User: Accesses the terminal and inputs information (e.g., the personality of the deceased, desired kanji, religious background) through the interface.

[0570] Input: Text information entered by the user.

[0571] Output: Raw text information sent to the terminal.

[0572] Specific operation: When the user enters text information into the input form and presses the send button, the information is sent to the terminal.

[0573] Step 2: Storing and Preprocessing Data

[0574] Terminal: Stores the information received from the user in a database and applies pre-processing algorithms.

[0575] Input: Raw text information.

[0576] Data processing: Removing unnecessary information and converting it into a specific format (e.g., JSON format).

[0577] Output: Preprocessed data.

[0578] Specific operation: The terminal takes the input data, removes unnecessary spaces and special characters, and converts it to JSON format.

[0579] Step 3: Transform the data

[0580] Server: Converts preprocessed data into a format that can be understood by the generative AI model.

[0581] Input: Preprocessed data.

[0582] Data operations: Convert text data into a numeric vector format.

[0583] Output: Data in vector format that can be understood by a generative AI model.

[0584] Specific operation: The server analyzes the preprocessed data and converts it into the corresponding vectors.

[0585] Step 4: Generate a Buddhist name

[0586] Server: The converted data is input into a generative AI model to generate name candidates.

[0587] Input: Vector data and prompt.

[0588] Data Computation: Generate name suggestions based on generative AI models.

[0589] Output: Multiple name candidates.

[0590] Specific operation: The server sends data to the AI ​​model based on the prompt text, and generates multiple name candidates. For example, "The deceased's personality was compassionate, the desired kanji was auspicious, and the religious background was Buddhist. Please generate a name based on this information."

[0591] Step 5: Choose the best name

[0592] Server: Selects the best name from the generated name candidates.

[0593] Input: Multiple generated name candidates.

[0594] Data calculation: Algorithms are used to evaluate and select the best candidates.

[0595] Output: The selected name.

[0596] Specific behavior: The server scores the generated candidates and selects the one with the highest score.

[0597] Step 6: Name suggestion

[0598] Server: Sends the selected name to the device.

[0599] Input: Selected Name.

[0600] Output: The name that is presented to the user.

[0601] Specific operation: The server sends the selected name to the terminal, which displays it to the user.

[0602] Step 7: Receiving and regenerating feedback

[0603] User: Review the proposed name and provide feedback, pressing the "Regenerate" button if unhappy.

[0604] Input: User feedback information.

[0605] Output: Regeneration request or approval.

[0606] Specific operation: The user sends an evaluation of the provided name via the terminal and requests regeneration if necessary.

[0607] Terminal: Sends user feedback to the server.

[0608] Input: User feedback.

[0609] Output: Feedback data.

[0610] Specific operation: The device receives the user's feedback and sends it to the server.

[0611] Server: Takes user feedback and regenerates new names.

[0612] Input: Feedback data from users.

[0613] Data operation: Generate a new name based on the regeneration condition.

[0614] Output: Regenerated name candidates.

[0615] What happens: The server uses the feedback information to run the process again and provide the user with a new name.

[0616] (Application example 1)

[0617] 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."

[0618] Conventional posthumous Buddhist name generation systems can only be used online by users and are not designed for use in brick-and-mortar stores, making it difficult to provide services in brick-and-mortar stores such as Buddhist altar shops. Furthermore, generating posthumous Buddhist names requires specialized knowledge, making it often difficult to provide appropriate posthumous Buddhist names instantly.

[0619] 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.

[0620] In this invention, the server includes means for collecting personal requests and characteristics input by users, means for preprocessing the collected data, means for converting the preprocessed data into a format understandable by the generation AI model, means for allowing users to use the posthumous Buddhist name generation service on their own devices in a physical store via a smartphone application, and means for receiving user feedback and regenerating posthumous Buddhist names as necessary. This allows users to easily and quickly use the posthumous Buddhist name generation service even in physical stores such as Buddhist altar shops.

[0621] "User" refers to an individual or corporation that uses the system, specifically a customer who uses the posthumous name generation service.

[0622] "Requests" refer to the wishes and requirements that users provide to the system, specifically information such as the kanji characters they would like to use in their posthumous name and their religious background.

[0623] "Characteristics" refers to information that indicates attributes or personalities of the user or the deceased, and specifically includes the personality of the deceased.

[0624] "Means of collection" refers to the function for acquiring and storing input data from users.

[0625] "Preprocessing means" refers to data processing to convert collected data into a format that is easy for the AI ​​model to understand.

[0626] A "generative AI model" refers to artificial intelligence that generates posthumous Buddhist names and other information based on input data, and specifically includes deep learning models.

[0627] "Means for converting" refers to the ability to convert pre-processed data into a format understandable by the generative AI model.

[0628] "Means for generating a variety of Buddhist posthumous name candidates" refers to the function of generating multiple Buddhist posthumous name candidates using a generative AI model.

[0629] "Means of selection" refers to the function of selecting the most appropriate posthumous name from the multiple posthumous name candidates generated.

[0630] "Means of presentation" refers to the function of displaying and notifying the user of the selected posthumous Buddhist name.

[0631] "Means for regeneration" refers to the function of regenerating a new posthumous Buddhist name based on user feedback.

[0632] "Smartphone application" refers to software that runs on a smartphone and allows users to use the posthumous Buddhist name generation service.

[0633] "Physical store" refers to a physically existing commercial facility, specifically including Buddhist altar shops and other stores.

[0634] "Feedback" refers to reactions and opinions from users regarding the Buddhist posthumous names presented.

[0635] MODE FOR CARRYING OUT THE INVENTION

[0636] The present invention provides a system for enabling users to receive a posthumous Buddhist name generation service at a physical store using a smartphone application. Specific embodiments of the present invention are described below.

[0637] Hardware and Software Configuration

[0638] This system uses the following hardware and software:

[0639] User's device: Smartphone (iOS or Android)

[0640] Server: Cloud server (e.g. AWS)

[0641] Software: Python, Flask, OpenAI API

[0642] Database: PostgreSQL (stores user input data)

[0643] Data collection and preprocessing

[0644] Users launch their smartphone application and provide input data for generating a posthumous Buddhist name, including the deceased's personality, desired kanji characters, religious background, etc. The device collects this input data and stores it in a database.

[0645] On the device, the collected data is pre-processed, which involves cleaning and tokenizing the text data to convert it into a format that is easy for the AI ​​model to understand.

[0646] The process of generating Buddhist posthumous names

[0647] On the server, the preprocessed data is input into a generative AI model (e.g., OpenAI's generative AI model). This generates multiple posthumous Buddhist name candidates. From these candidates, the one that best suits the user's needs is selected.

[0648] Presentation and feedback of posthumous Buddhist names

[0649] The selected posthumous Buddhist name is presented to the user through the smartphone application's user interface. The user can confirm the presented posthumous Buddhist name and select "Approve" or "Regenerate." If "Regenerate" is selected, the server will regenerate the posthumous Buddhist name.

[0650] Examples of concrete examples and prompts

[0651] For example, if the user inputs "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Religious background: Jodo sect," the prompt text would be as follows:

[0652] Example prompt:

[0653] "The generative AI model generates a posthumous Buddhist name based on the following information: personality of the deceased: compassionate, desired kanji: auspicious, religious background: Jodo sect."

[0654] Based on this information, the generative AI model generates posthumous posthumous name candidates such as "Jishoin Shotoku Kenshi" and presents them to the user. This process makes it possible to provide a posthumous posthumous name generation service quickly and appropriately even in physical stores.

[0655] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0656] Step 1:

[0657] The user launches the smartphone application and provides input data for generating a posthumous Buddhist name. The user fills in the application's input form with information such as the deceased's personality, desired kanji, and religious background. This input data is received by the application and sent to the device. Input data includes, for example, "personality of the deceased: compassionate," "desired kanji: auspicious," and "religious background: Jodo sect."

[0658] Step 2:

[0659] The terminal collects input data sent by the user and saves it in a database. During this process, a database management system (such as PostgreSQL) is used to store the data in an appropriate format. Once the input data is saved, it can be used for subsequent processing.

[0660] Step 3:

[0661] The terminal preprocesses the collected data. This preprocessing step removes unnecessary information from the input data, cleans and tokenizes the text data, for example, removing special characters and unnecessary whitespace, and extracting only the necessary data. As a result of preprocessing, the data is output in a clean format.

[0662] Step 4:

[0663] The device sends the preprocessed data to a server, which converts the received data into a format that the generative AI model can understand. This conversion process involves converting the data into vector format. The converted data is then used as input for the generative AI model.

[0664] Step 5:

[0665] The server inputs the converted data into a generative AI model to generate candidate posthumous Buddhist names. Using a generative AI model (such as the OpenAI API), the server outputs multiple candidate posthumous Buddhist names based on the user's requests. Examples of generated candidate posthumous Buddhist names include "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0666] Step 6:

[0667] The server selects the most suitable name from the generated candidates. Here, the name that best fits the user's needs and characteristics is selected. The selected name is presented to the user in the next step.

[0668] Step 7:

[0669] The server sends the selected posthumous name to the terminal, which then presents it to the user through the application's user interface. The user can then confirm the name and select "Approve" or "Regenerate."

[0670] Step 8:

[0671] If the user selects "regenerate," the device sends a regeneration request to the server. The server then inputs the data into the generative AI model again to generate new posthumous Buddhist name candidates. The regenerated candidates are also presented to the user, and this process is repeated until the user is satisfied.

[0672] 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.

[0673] This invention is a system that collects user requests and characteristics and generates various posthumous Buddhist names using a generative AI model and an emotion engine. Below, the program processing of this system is explained in natural language.

[0674] Collecting input data

[0675] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[0676] Terminal: The terminal receives and collects information entered by the user.

[0677] Data Preprocessing

[0678] Terminal: The terminal preprocesses the collected data. In this step, unnecessary information is removed and the information is tokenized. For example, "Deceased's personality: Merciful" is converted to "Personality_Merciful".

[0679] Transforming model input data

[0680] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. For example, at this stage, the data is converted into a vector format.

[0681] Generation of Buddhist posthumous names

[0682] Server: Inputs the converted data into the generative AI model. Based on this, the model generates multiple posthumous Buddhist name candidates. For example, it outputs candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0683] Server: Evaluates the generated posthumous name candidates and selects the one that best suits the user's needs and characteristics. In this step, for example, "Jishoin Shotoku Kenshi" is selected as the best candidate.

[0684] Use of emotion engine

[0685] Server: The server uses the emotion engine to analyze the user's emotions from the collected user requests and characteristic data. Based on the analysis results, the server further generates or selects the posthumous name that best suits the user's emotions.

[0686] Presentation of posthumous Buddhist name

[0687] Server: Sends the selected posthumous name to the terminal.

[0688] Terminal: The terminal presents the generated posthumous name to the user.

[0689] User Feedback

[0690] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0691] Terminal: Using the emotion engine, the terminal analyzes the user's emotions when the user gives feedback. Based on the analysis results, the conditions for regenerating the posthumous Buddhist name are set.

[0692] Terminal: Sends feedback data and sentiment analysis results to the server. If a regeneration request is received, the posthumous name generation process is started again.

[0693] Specific examples

[0694] Example 1:

[0695] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0696] 2. Terminal: Receives data and performs preprocessing.

[0697] 3. Terminal: Sends preprocessed data to the server.

[0698] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[0699] 5. Server: Input data into the generative AI model, generating names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0700] 6. Server: Select "Jishoin Shotoku Kenshi" from the generated list.

[0701] 7. Server: Based on the collected user data, the emotion engine is used to analyze the user's emotions and select the generated posthumous name "Jishoin Shotoku Kenshi."

[0702] 8. Server: The selected posthumous Buddhist name is sent to the terminal, and the terminal presents "Jishoin Shotoku Kenshi" to the user.

[0703] 9. User: Click the "Regenerate" button to request a regeneration.

[0704] 10. Terminal: Use the emotion engine during feedback and set the regeneration conditions based on the analysis results.

[0705] 11. Server: Generate new posthumous name candidates, evaluate and select again, and send the results to the terminal.

[0706] This system makes it possible to efficiently and quickly provide diverse and fair posthumous names while respecting Buddhist culture and religious background. In addition, by utilizing an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[0707] The processing flow will be explained below.

[0708] Step 1:

[0709] User: The user accesses the terminal and inputs the deceased's personality, desired kanji, religious background, and other requests through the interface. For example, the user can input information such as "Deceased's personality: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0710] Step 2:

[0711] Terminal: The terminal receives the information entered by the user and stores it in a database.

[0712] Step 3:

[0713] Terminal: Preprocesses the collected data. In this step, unnecessary information is removed and the information is tokenized. For example, the input "Character of the deceased: Merciful" is converted to a format such as "Character_Merciful." Also, "Desired Kanji: Xiang" is converted to "Kanji_Xiang."

[0714] Step 4:

[0715] Terminal: The preprocessed data is formatted for data transfer (e.g., JSON format) and sent to the server.

[0716] Step 5:

[0717] Server: The server receives preprocessed data sent from the device, such as "personality_benevolent", "kanji_lucky", and "background_Jodo sect".

[0718] Step 6:

[0719] Server: Converts the received data into a format that the generative AI model can understand, such as vector format, using appropriate data preprocessing scripts.

[0720] Step 7:

[0721] Server: The converted data is input into the generative AI model. Based on this, the generative AI model generates multiple posthumous name candidates. For example, candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[0722] Step 8:

[0723] Server: Evaluates the generated multiple posthumous name candidates and selects the one that best suits the user's needs and characteristics. This evaluation uses the matching scores between the model's output data and the user's input data.

[0724] Step 9:

[0725] Server: Using the emotion engine, analyze the user's emotions based on the user's requests and feature data. Based on the analysis results, select or generate a posthumous name that best suits the user's emotions. In this step, an emotion analysis model is used.

[0726] Step 10:

[0727] Server: Sends the selected posthumous name to the terminal. For example, it may be sent in the format "Optimal posthumous name: Jishoin Shotoku Kenshi."

[0728] Step 11:

[0729] Terminal: The terminal presents the generated posthumous name, "Jishoin Shotoku Kenshi," to the user. The presentation interface includes a confirmation button and a regeneration button.

[0730] Step 12:

[0731] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0732] Step 13:

[0733] Terminal: When the user presses the "Regenerate" button, the system collects feedback. Furthermore, it uses an emotion engine to analyze the user's emotions. Based on these results, it sets new conditions for regenerating the posthumous name.

[0734] Step 14:

[0735] Terminal: Sends feedback data and emotion analysis results to the server.

[0736] Step 15:

[0737] Server: If a regeneration request is received, start the process again from step 5 to generate and evaluate new posthumous name candidates.

[0738] This system makes it possible to efficiently and quickly provide diverse and fair posthumous names while respecting Buddhist culture and religious background. In addition, by utilizing an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[0739] Example 2

[0740] 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."

[0741] In conventional posthumous Buddhist name generation systems, it is difficult to reflect the user's wishes and characteristics, and the generated posthumous Buddhist name may not match the user's feelings. As a result, there is a problem in that it is not possible to quickly provide a posthumous Buddhist name that satisfies the user.

[0742] 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 means for collecting information input by the user, means for preprocessing the collected information, means for converting the preprocessed information into a format understandable by the generative AI model, means for generating various candidates using the generative AI model using the converted information, means for selecting the optimal one from the generated candidates, means for presenting the selected candidate to the user, means for receiving user feedback and regenerating candidates as necessary, and means for analyzing the user's emotions using an emotion analysis engine and reflecting the results in the generation process. This makes it possible to quickly and accurately provide posthumous Buddhist names that meet the individual needs of the user.

[0743] "Means for collecting information entered by the user" refers to a device or program that receives information entered by the user, such as the deceased's personality, desired kanji characters, religious background, etc., and stores that information as data.

[0744] "Means for preprocessing collected information" refers to a device or program that executes a process to remove unnecessary data from input information and to tokenize or format necessary information.

[0745] "Means for converting preprocessed information into a format understandable by the generative AI model" refers to a device or program that converts preprocessed text data into numerical or vector data and processes it into a format that can be analyzed by the generative AI model.

[0746] "Means for generating a variety of candidates using a generative AI model using the converted information" refers to a device or program that inputs data into a generative AI model and executes the process of generating multiple candidate results (e.g., posthumous Buddhist name candidates).

[0747] "Means for selecting the best one from the generated candidates" refers to a device or program that executes the process of evaluating and selecting the one that best suits the user's needs and characteristics from the multiple generated candidates.

[0748] The "means for presenting the selected candidate to the user" refers to a device or program that executes a process of transmitting the selected candidate from the server to the terminal and displaying it in a form that can be confirmed by the user.

[0749] The "means for receiving user feedback and regenerating candidates as necessary" refers to a device or program that allows the user to input their satisfaction or dissatisfaction with the presented candidates and executes the candidate generation process again based on that feedback information.

[0750] "Means for analyzing user emotions using an emotion analysis engine and reflecting the results in the generation process" refers to a device or program that analyzes emotions based on information and feedback collected from users and uses the analysis results in the next candidate generation process.

[0751] A "deep learning model" is a machine learning model that uses a multi-layer neural network to learn features from data and perform advanced analysis and generation.

[0752] MODE FOR CARRYING OUT THE INVENTION

[0753] This paper describes a system that collects user requests and characteristics and generates various posthumous Buddhist names using a generative AI model and an emotion engine. The configuration and operation of this system are explained, along with each component, the technologies used, and specific examples.

[0754] Collecting input data

[0755] User: The user accesses the device through a browser or a dedicated application and uses an input form to enter information about the deceased person's personality, desired kanji, religious background, etc. For example, the user enters information such as "personality of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0756] Data Preprocessing

[0757] Terminal: The terminal receives the information entered by the user and performs preprocessing. Preprocessing includes removing unnecessary information, tokenizing the text data, and format conversion. For example, "Deceased's personality: Merciful" can be converted to "Personality_Merciful."

[0758] Transforming model input data

[0759] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. Specifically, it encodes the text data into a numeric vector and maps each feature to the appropriate dimension. This conversion process may use a popular natural language processing toolkit (e.g., NLTK or spaCy).

[0760] Generation of Buddhist posthumous names

[0761] Server: The server inputs the encoded data into the generative AI model, which uses deep learning text generation technology to generate multiple posthumous Buddhist name candidates. For example, candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[0762] Candidate Selection

[0763] Server: From the generated posthumous name candidates, select the one that best suits the user's requests and characteristics. The evaluation criteria are based on the AI ​​model's scoring algorithm.

[0764] Use of emotion engine

[0765] Server: The server uses an emotion engine to analyze the user's emotions based on the collected user requests and characteristic data. Based on the analysis results, a process is carried out to select the posthumous Buddhist name that best suits the user's emotions. For example, if the user's emotions indicate "feelings of peace," "Jishoin Shotoku Kenshi" may be selected.

[0766] Presentation of posthumous Buddhist name

[0767] Server: Sends the selected posthumous name to the terminal. The REST API is generally used as the communication protocol, and the selected posthumous name is often sent in JSON format.

[0768] Terminal: The terminal presents the generated posthumous name to the user. For example, it displays "Jishoin Shotoku Kenshi" on the screen.

[0769] User Feedback

[0770] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0771] Terminal: Receives user feedback and analyzes the information through a sentiment analysis engine.

[0772] Terminal: The feedback data and emotion analysis results are sent to the server, and if a regeneration process is required, the posthumous name is generated again.

[0773] Specific examples

[0774] Example 1:

[0775] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0776] 2. Terminal: Receives data and performs preprocessing.

[0777] 3. Terminal: Sends preprocessed data to the server.

[0778] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[0779] 5. Server: Input data into the generative AI model and generate a large number of Buddhist posthumous names.

[0780] 6. Server: Select the best candidate from the generated ones and choose "Jishoin Shotoku Kenshi."

[0781] 7. Server: Analyzes the user's emotions using an emotion engine and selects the most appropriate posthumous name based on the analysis results.

[0782] 8. Server: The selected posthumous Buddhist name is sent to the terminal, and the terminal presents "Jishoin Shotoku Kenshi" to the user.

[0783] 9. User: Click the "Regenerate" button to request a regeneration.

[0784] 10. Terminal: Set the regeneration conditions based on the feedback and send it to the server again.

[0785] 11. Server: Generate new posthumous name candidates, re-evaluate and re-select, and send the results to the terminal.

[0786] This system makes it possible to efficiently and quickly provide a variety of posthumous Buddhist names that respect Buddhist culture and religious background. In addition, by using an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[0787] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0788] Step 1:

[0789] User: The user accesses the device through a browser or a dedicated application and uses an input form to enter information about the deceased person's personality, desired kanji, religious background, etc. For example, the user enters information such as "personality of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0790] Input: Information entered by the user into the device

[0791] Output: Collected user information (text format)

[0792] Step 2:

[0793] Terminal: The terminal receives the input information and performs preprocessing. Preprocessing includes removing unnecessary information, tokenizing the text data, and format conversion. For example, it converts "Deceased's personality: Merciful" into "Personality_Merciful".

[0794] Input: Collected user information (text format)

[0795] Output: Preprocessed data (tokenized text format)

[0796] Step 3:

[0797] Terminal: Converts preprocessed data into JSON format or other format and sends it to the server.

[0798] Input: Preprocessed data (tokenized text format)

[0799] Output: JSON format data

[0800] Step 4:

[0801] Server: The server converts the preprocessed data received from the device into a format that the generative AI model can understand. Specifically, it encodes the text data into numeric vectors and maps each feature to the appropriate dimension. This can be achieved using a natural language processing toolkit (such as NLTK or spaCy).

[0802] Input: JSON format data

[0803] Output: Numerical vector data for generative AI models

[0804] Step 5:

[0805] Server: The generated numerical vector data is input into the generative AI model. The model uses deep learning technology to generate multiple posthumous Buddhist name candidates. For example, posthumous Buddhist names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[0806] Input: Numerical vector data for generative AI models

[0807] Output: Multiple posthumous name candidates

[0808] Step 6:

[0809] Server: From the generated posthumous name candidates, select the one that best suits the user's requests and characteristics. The selection is based on the AI ​​model's scoring algorithm, and the most suitable posthumous name is selected.

[0810] Input: Multiple posthumous name candidates

[0811] Output: Best posthumous name candidate (e.g. "Jishoin Shotoku Kenshi")

[0812] Step 7:

[0813] Server: Using the emotion engine, the emotion is analyzed from the user's request and characteristic data. Based on the analysis results, an additional process is performed to select the posthumous name that best suits the user's emotion.

[0814] Input: User requests and characteristic data

[0815] Output: The final posthumous name taking into account the results of sentiment analysis (e.g., "Jishoin Shotoku Kenshi")

[0816] Step 8:

[0817] Server: The selected posthumous name is sent to the terminal. The REST API is used as the communication protocol, and the posthumous name is sent in JSON format.

[0818] Input: Final posthumous name taking into account the results of sentiment analysis

[0819] Output: JSON format data to send to the terminal

[0820] Step 9:

[0821] Terminal: The terminal analyzes the received data and presents the posthumous Buddhist name to the user. For example, it displays "Jishoin Shotoku Kenshi" on the screen.

[0822] Input: JSON format posthumous name data

[0823] Output: The posthumous name presented to the user

[0824] Step 10:

[0825] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0826] Input: User feedback (approval or regeneration)

[0827] Output: Feedback data

[0828] Step 11:

[0829] Terminal: Receives user feedback and analyzes it using the emotion engine. Based on the results, it sets the regeneration conditions and sends them to the server.

[0830] Input: Feedback data

[0831] Output: JSON format data containing the regeneration conditions

[0832] Step 12:

[0833] Server: Receives the regeneration request and re-runs the process of generating new posthumous name candidates. For example, new candidates are generated and evaluated / selected again.

[0834] Input: JSON format data containing regeneration conditions

[0835] Output: New posthumous name candidates and evaluation results

[0836] (Application example 2)

[0837] 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."

[0838] On modern online shopping sites, users are faced with a vast amount of product information, making it difficult to choose products that suit their preferences. Furthermore, many existing recommendation systems do not take user emotions into account, and often make recommendations that dissatisfy users. Therefore, there is a need for a personalized product recommendation system that takes into account not only user preferences and needs, but also emotions.

[0839] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting personal requests and characteristics input by the user, means for preprocessing the collected data, means for converting the preprocessed data into a format understandable by the generative AI model, means for generating various posthumous posthumous name candidates using the converted data with the generative AI model, means for selecting the most appropriate one from the generated posthumous posthumous name candidates, means for presenting the selected posthumous posthumous name to the user, means for receiving user feedback and regenerating the posthumous posthumous name as needed, means for collecting user preferences and needs and generating optimal product recommendations using the generative AI model, means for presenting the generated product recommendations to the user, and means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions. This enables personalized product recommendations that are tailored to the user's individual preferences and emotions.

[0840] "Means for collecting personal requests and characteristics input by users" refers to devices or software for acquiring information input by users using terminals.

[0841] "Means for preprocessing collected data" refers to devices or software that convert acquired data into a format that is easy to analyze by tokenizing it, removing unnecessary information, etc.

[0842] "Means for converting preprocessed data into a format understandable by the generative AI model" refers to a device or software for converting preprocessed data into a data format (e.g., vector format) that can be appropriately processed by the generative AI model.

[0843] "Means for generating a variety of Buddhist posthumous name candidates using a generative AI model" refers to a device or software that uses a generative AI model to create multiple Buddhist posthumous name candidates based on user information.

[0844] "Means for selecting the most suitable posthumous name from among the posthumous name candidates" refers to a device or software that selects the posthumous name that best suits the user's requests and characteristics from among the multiple posthumous name candidates that have been generated.

[0845] "Means for presenting the selected posthumous Buddhist name to the user" refers to a device or software for displaying or notifying the user of the selected posthumous Buddhist name.

[0846] "Means for receiving user feedback and regenerating posthumous names as necessary" refers to a device or software that regenerates posthumous names in response to user evaluations and requests.

[0847] "Means for collecting user preferences and needs and generating optimal product recommendations using a generative AI model" refers to a device or software that collects information such as a user's purchase history, preferences, and budget, and recommends optimal products using a generative AI model.

[0848] The "means for presenting the generated product recommendations to the user" refers to a device or software for displaying or notifying the user of the recommended products.

[0849] "Means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions" refers to a device or software that analyzes user emotion data and further evaluates or regenerates product recommendations based on the results.

[0850] The present invention is a system that collects user requests and characteristics, and generates various posthumous Buddhist names and product recommendations using a generative AI model and an emotion engine. Specific embodiments of the system are described below.

[0851] System Configuration

[0852] The system mainly includes the following elements:

[0853] 1. Device: The device that collects information entered by the user (e.g., smartphone, computer, etc.).

[0854] 2. Server: The computer system responsible for preprocessing the data, running the generative AI model, processing the emotion engine, and transmitting the results.

[0855] 3. Generative AI model: An artificial intelligence model (e.g., GPT-3) that generates a variety of posthumous name candidates and product recommendations based on user requests and characteristics.

[0856] 4. Emotion Engine: An engine (e.g., EmotionEngine) for analyzing user emotions and evaluating and regenerating generated posthumous name candidates and product recommendations.

[0857] Program processing

[0858] 1. User Information Collection

[0859] Users input information such as their personal needs, characteristics, purchase history, preferences, and budget through a terminal, using an interface.

[0860] example:

[0861] The user enters into the terminal, "Past purchase history: shoes, bags," "Preferences: casual, blue," and "Budget: 10,000 yen."

[0862] 2. Data Preprocessing

[0863] The device pre-processes the collected data, removing unnecessary information and performing processes such as tokenization.

[0864] 3. Transformation of model input data

[0865] The server converts the preprocessed data into a format that the generative AI model can understand, by converting the data into vector format.

[0866] 4. Generate posthumous names and product recommendations

[0867] The server inputs the converted data into a generative AI model to generate a variety of posthumous name candidates and product recommendations.

[0868] example:

[0869] The generative AI model outputs suggestions such as "Jishoin Shotoku Kenshi," "Shozenin Tokuju Jiei," "casual blue sneakers," and "blue casual bag."

[0870] 5. Select a posthumous name and recommended products

[0871] The server selects the best one from the generated candidates, taking into consideration the user's requests and characteristics.

[0872] 6. Use of Emotion Engines

[0873] The server uses an emotion engine to analyze the user's emotions, and then selects the most appropriate posthumous name and product recommendations. It also regenerates them as necessary.

[0874] 7. Presentation of results

[0875] The server transmits the selected posthumous name and product recommendations to the terminal and presents them to the user.

[0876] example:

[0877] Prompt: "We're looking for the perfect product for you based on your past purchases. What kind of item are you looking for?"

[0878] 8. Use of User Feedback

[0879] The user provides feedback on the presented results, which is used in the next generation process.

[0880] This allows the system to provide personalized posthumous name generation and product recommendations that are in line with each user's individual needs and feelings.

[0881] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0882] Step 1:

[0883] The user uses the device to input information such as personal requests, characteristics, purchase history, preferences, and budget through the interface. This information becomes input data. For example, a user might input "Past purchase history: shoes, bags," "Preferences: casual, blue," and "Budget: 10,000 yen." The device collects this information.

[0884] Step 2:

[0885] The device preprocesses the collected data. First, it removes unnecessary information and extracts the important information. Then it tokenizes the data and converts it into a format that is easy for the generative AI model to handle. For example, it converts "Past purchase history: shoes, bags" into "Purchase history_shoes, purchase history_bags." The output is the preprocessed data.

[0886] Step 3:

[0887] The server receives the preprocessed data and converts it into a format that the generative AI model can understand. This operation involves data processing, such as converting text data into vector format. The input is the preprocessed data, and the output is the model input data.

[0888] Step 4:

[0889] The server inputs model input data into the generative AI model and generates a variety of posthumous Buddhist name candidates and product recommendations. For example, posthumous Buddhist names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" and product candidates such as "casual blue sneakers" and "blue casual bag" are generated. The output is the generated posthumous Buddhist name candidates and product recommendations.

[0890] Step 5:

[0891] The server selects from the generated posthumous name candidates and product recommendations those that best fit the user's needs and characteristics. This selection process uses scoring and ranking. The input is the generated posthumous name candidates and product recommendations, and the output is the optimal posthumous name candidate and product recommendation.

[0892] Step 6:

[0893] The server uses an emotion engine to analyze the user's emotions and select or regenerate more optimal posthumous names and product recommendations based on the emotions. The recommendations are reevaluated or regenerated based on the emotion data. The input is the user's emotion data and the selected posthumous names and product recommendations, and the output is the final posthumous names and product recommendations.

[0894] Step 7:

[0895] The server sends the final selected posthumous name and product recommendations to the terminal, which then presents them to the user. For example, a prompt message such as "We are searching for the best product for you based on your past purchase history. What kind of item are you looking for?" is displayed, and the generated results are then displayed. The output is the posthumous name and product recommendations presented to the user.

[0896] Step 8:

[0897] The user provides feedback on the presented results. The feedback includes a simple evaluation such as "satisfied" or "dissatisfied," and the terminal collects this. The input is the user's feedback, and the output is the collected feedback data.

[0898] Step 9:

[0899] The terminal sends the collected feedback data to the server, which uses this data to set the conditions for regeneration. If the regeneration process is necessary, steps 4 to 7 described above are executed again. The input is the feedback data, and the output is the regenerated posthumous name or product recommendation.

[0900] 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.

[0901] 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.

[0902] 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.

[0903] [Third embodiment]

[0904] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0905] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0906] 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).

[0907] 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.

[0908] 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.

[0909] 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).

[0910] 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.

[0911] 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.

[0912] 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.

[0913] 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.

[0914] 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.

[0915] 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."

[0916] This system collects user requests and characteristics and generates a variety of posthumous Buddhist names using a generative AI model. Below, we explain the program processing of this system in natural language.

[0917] Collecting input data

[0918] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[0919] Terminal: The terminal receives and collects information entered by the user.

[0920] Data Preprocessing

[0921] Terminal: The terminal preprocesses the collected data. This step involves removing unnecessary information and converting it into a specific format, for example, tokenizing certain strings.

[0922] Transforming model input data

[0923] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. For example, at this stage, the data is converted into a vector format.

[0924] Generation of Buddhist posthumous names

[0925] Server: The server sends the converted data to the generative AI model as input. The generative AI model then generates multiple posthumous Buddhist name candidates based on that data. For example, it generates candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0926] Server: The server selects from the generated posthumous name candidates the one that best suits the user's requests and characteristics.

[0927] Presentation of posthumous Buddhist name

[0928] Server: Sends the selected posthumous name to the terminal.

[0929] Terminal: The terminal presents the generated posthumous name to the user.

[0930] User Feedback

[0931] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0932] Terminal: The terminal sends the user feedback to the server and, if there is a regeneration request, starts the process again.

[0933] Specific examples

[0934] Example 1:

[0935] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0936] 2. Terminal: Receives data and performs preprocessing.

[0937] 3. Terminal: Sends preprocessed data to the server.

[0938] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[0939] 5. Server: Input data into the generative AI model, generating names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0940] 6. Server: Select "Jishoin Shotoku Kenshi" from the generated list.

[0941] 7. Server: Sends the selected posthumous name to the terminal.

[0942] 8. Terminal: Present "Jishoin Shotoku Kenshi" to the user.

[0943] 9. User: Click the "Regenerate" button to request a regeneration.

[0944] 10. Server: Generate new posthumous name candidates and present them again.

[0945] This system makes it possible to provide a diverse and fair range of posthumous Buddhist names efficiently and quickly, while respecting Buddhist culture and religious backgrounds.

[0946] The processing flow will be explained below.

[0947] Step 1:

[0948] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[0949] Step 2:

[0950] Terminal: The terminal receives and collects information entered by the user, such as "character of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[0951] Step 3:

[0952] Terminal: Preprocesses the collected data. Specifically, it removes unnecessary information and tokenizes the information. For example, it converts "Deceased's personality: Merciful" into "Personality_Merciful".

[0953] Step 4:

[0954] Terminal: Sends preprocessed data to the server. For example, it sends data converted into "personality_benevolent", "kanji_lucky", and "background_Jodo sect".

[0955] Step 5:

[0956] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. Specifically, it converts the tokenized data into vector format, resulting in numerical data such as "[0.2, 0.4, -0.1]".

[0957] Step 6:

[0958] Server: Inputs the converted data into the generative AI model. Based on this, the model generates multiple posthumous Buddhist name candidates. For example, it outputs candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[0959] Step 7:

[0960] Server: Evaluates the generated posthumous name candidates and selects the one that best suits the user's needs and characteristics. In this step, for example, "Jishoin Shotoku Kenshi" is selected as the best candidate.

[0961] Step 8:

[0962] Server: Sends the selected posthumous name to the terminal.

[0963] Step 9:

[0964] Terminal: The terminal presents the generated posthumous Buddhist name "Jishoin Shotoku Kenshi" to the user.

[0965] Step 10:

[0966] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[0967] Step 11:

[0968] Terminal: The terminal sends the user feedback to the server. If a regeneration request is received, the process starts again from step 5.

[0969] Step 12:

[0970] Server: Generates new posthumous name candidates, evaluates and selects again, and sends the results to the terminal.

[0971] Example 1

[0972] 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."

[0973] Conventional posthumous Buddhist name generation systems have difficulty quickly providing customized posthumous Buddhist names in response to user requests, and have been unable to efficiently reflect user feedback. For this reason, there is a need for systems that can accurately generate posthumous Buddhist names that reflect the personality and wishes of the deceased.

[0974] 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.

[0975] In this invention, the server includes a means for collecting information input by a user, a means for preprocessing the collected data, and a means for converting the preprocessed data into a format understandable by the generative AI model. This enables data based on user requests to be quickly and accurately processed and converted into a format understandable by the generative AI model. The server also includes a means for generating a variety of name candidates using the converted data with the generative AI model, a means for selecting the best name from the generated name candidates, a means for presenting the selected name to the user, and a means for receiving user feedback and regenerating the name as necessary. This makes it possible to efficiently and quickly provide a variety of fair names and increase user satisfaction.

[0976] "User" refers to a person who utilizes the system to input information and receive output results.

[0977] "Information" refers to data about the deceased that is entered into the system, including personality, desired kanji characters, religious background, etc.

[0978] "Means of collection" refers to the process of receiving information entered by a user and storing it in a database.

[0979] "Preprocessing" refers to the process of removing unnecessary parts from collected information and converting it into a specific format.

[0980] A "generative AI model" refers to an artificial intelligence model that uses deep learning technology to generate diverse names and text from given data.

[0981] "Means of conversion" refers to the process of converting preprocessed data into a vector format or other format that can be understood by the generative AI model.

[0982] "Means for generating name candidates" refers to the process by which the generative AI model uses the converted data as input to generate multiple names.

[0983] "Means of selection" refers to the process of using an algorithm to select the best name from the generated name candidates.

[0984] "Presenting means" refers to the process of displaying the selected name to the user.

[0985] "Means for receiving feedback" refers to a process for receiving feedback information such as user opinions and requests for regeneration.

[0986] "Means of regeneration" refers to the process of regenerating new names based on user feedback.

[0987] This system generates a variety of names using a generative AI model based on information entered by the user. The system's program is composed of the following hardware and software:

[0988] Hardware and software used

[0989] Hardware:

[0990] Terminal: An interface device (e.g., computer, smartphone, tablet) through which a user inputs information.

[0991] Server: The main computing unit that processes data and generates names.

[0992] software:

[0993] Interface Application: An application that has a GUI for users to enter information.

[0994] Database Management System: A system for storing data collected from users.

[0995] Preprocessing algorithm: Software for preprocessing the collected data.

[0996] Generative AI models: For example, AI models that use deep learning techniques (such as GPT-3).

[0997] Data transformation utilities: Tools for converting pre-processed data into a format understandable by generative AI models.

[0998] Specific processing of the program

[0999] The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through an interface application. For example, the user can input information such as "Deceased's personality: compassionate," "Desired kanji: auspicious," and "Religious background: Buddhism."

[1000] The device receives the input information and stores it in a database. After the data is stored, a preprocessing algorithm is run to remove unnecessary information and convert the data into a specific format (e.g., JSON). During this stage, the input text is split into tokens and only the necessary information is extracted.

[1001] The server receives the preprocessed data and uses a data conversion utility to convert it into a format that the generative AI model can understand (e.g., vector format).The server then supplies the data as input to the generative AI model, which then generates name candidates based on the prompt sentence.

[1002] For example, the following prompt sentences are used:

[1003] "The deceased's personality was compassionate, their desired kanji was Xiang, and their religious background was Buddhism. Please generate a name based on this information."

[1004] The server receives multiple name candidates from the generative AI model and selects the best candidate using an appropriate algorithm. The selected name is then sent back to the device, which then presents it to the user. The user checks the name and, if satisfied, presses the "Approve" button; if not, presses the "Regenerate" button and sends feedback to the server. The user's feedback is used as the criteria for regeneration, and a new name is generated.

[1005] This system makes it possible to provide diverse and fair names efficiently and quickly, while respecting Buddhist culture and religious backgrounds.

[1006] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1007] Step 1: Collect input data

[1008] User: Accesses the terminal and inputs information (e.g., the personality of the deceased, desired kanji, religious background) through the interface.

[1009] Input: Text information entered by the user.

[1010] Output: Raw text information sent to the terminal.

[1011] Specific operation: When the user enters text information into the input form and presses the send button, the information is sent to the terminal.

[1012] Step 2: Storing and Preprocessing Data

[1013] Terminal: Stores the information received from the user in a database and applies pre-processing algorithms.

[1014] Input: Raw text information.

[1015] Data processing: Removing unnecessary information and converting it into a specific format (e.g., JSON format).

[1016] Output: Preprocessed data.

[1017] Specific operation: The terminal takes the input data, removes unnecessary spaces and special characters, and converts it to JSON format.

[1018] Step 3: Transform the data

[1019] Server: Converts preprocessed data into a format that can be understood by the generative AI model.

[1020] Input: Preprocessed data.

[1021] Data operations: Convert text data into a numeric vector format.

[1022] Output: Data in vector format that can be understood by a generative AI model.

[1023] Specific operation: The server analyzes the preprocessed data and converts it into the corresponding vectors.

[1024] Step 4: Generate a Buddhist name

[1025] Server: The converted data is input into a generative AI model to generate name candidates.

[1026] Input: Vector data and prompt.

[1027] Data Computation: Generate name suggestions based on generative AI models.

[1028] Output: Multiple name candidates.

[1029] Specific operation: The server sends data to the AI ​​model based on the prompt text, and generates multiple name candidates. For example, "The deceased's personality was compassionate, the desired kanji was auspicious, and the religious background was Buddhist. Please generate a name based on this information."

[1030] Step 5: Choose the best name

[1031] Server: Selects the best name from the generated name candidates.

[1032] Input: Multiple generated name candidates.

[1033] Data calculation: Algorithms are used to evaluate and select the best candidates.

[1034] Output: The selected name.

[1035] Specific behavior: The server scores the generated candidates and selects the one with the highest score.

[1036] Step 6: Name suggestion

[1037] Server: Sends the selected name to the device.

[1038] Input: Selected Name.

[1039] Output: The name that is presented to the user.

[1040] Specific operation: The server sends the selected name to the terminal, which displays it to the user.

[1041] Step 7: Receiving and regenerating feedback

[1042] User: Review the proposed name and provide feedback, pressing the "Regenerate" button if unhappy.

[1043] Input: User feedback information.

[1044] Output: Regeneration request or approval.

[1045] Specific operation: The user sends an evaluation of the provided name via the terminal and requests regeneration if necessary.

[1046] Terminal: Sends user feedback to the server.

[1047] Input: User feedback.

[1048] Output: Feedback data.

[1049] Specific operation: The device receives the user's feedback and sends it to the server.

[1050] Server: Takes user feedback and regenerates new names.

[1051] Input: Feedback data from users.

[1052] Data operation: Generate a new name based on the regeneration condition.

[1053] Output: Regenerated name candidates.

[1054] What happens: The server uses the feedback information to run the process again and provide the user with a new name.

[1055] (Application example 1)

[1056] 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."

[1057] Conventional posthumous Buddhist name generation systems can only be used online by users and are not designed for use in brick-and-mortar stores, making it difficult to provide services in brick-and-mortar stores such as Buddhist altar shops. Furthermore, generating posthumous Buddhist names requires specialized knowledge, making it often difficult to provide appropriate posthumous Buddhist names instantly.

[1058] 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.

[1059] In this invention, the server includes means for collecting personal requests and characteristics input by users, means for preprocessing the collected data, means for converting the preprocessed data into a format understandable by the generation AI model, means for allowing users to use the posthumous Buddhist name generation service on their own devices in a physical store via a smartphone application, and means for receiving user feedback and regenerating posthumous Buddhist names as necessary. This allows users to easily and quickly use the posthumous Buddhist name generation service even in physical stores such as Buddhist altar shops.

[1060] "User" refers to an individual or corporation that uses the system, specifically a customer who uses the posthumous name generation service.

[1061] "Requests" refer to the wishes and requirements that users provide to the system, specifically information such as the kanji characters they would like to use in their posthumous name and their religious background.

[1062] "Characteristics" refers to information that indicates attributes or personalities of the user or the deceased, and specifically includes the personality of the deceased.

[1063] "Means of collection" refers to the function for acquiring and storing input data from users.

[1064] "Preprocessing means" refers to data processing to convert collected data into a format that is easy for the AI ​​model to understand.

[1065] A "generative AI model" refers to artificial intelligence that generates posthumous Buddhist names and other information based on input data, and specifically includes deep learning models.

[1066] "Means for converting" refers to the ability to convert pre-processed data into a format understandable by the generative AI model.

[1067] "Means for generating a variety of Buddhist posthumous name candidates" refers to the function of generating multiple Buddhist posthumous name candidates using a generative AI model.

[1068] "Means of selection" refers to the function of selecting the most appropriate posthumous name from the multiple posthumous name candidates generated.

[1069] "Means of presentation" refers to the function of displaying and notifying the user of the selected posthumous Buddhist name.

[1070] "Means for regeneration" refers to the function of regenerating a new posthumous Buddhist name based on user feedback.

[1071] "Smartphone application" refers to software that runs on a smartphone and allows users to use the posthumous Buddhist name generation service.

[1072] "Physical store" refers to a physically existing commercial facility, specifically including Buddhist altar shops and other stores.

[1073] "Feedback" refers to reactions and opinions from users regarding the Buddhist posthumous names presented.

[1074] MODE FOR CARRYING OUT THE INVENTION

[1075] The present invention provides a system for enabling users to receive a posthumous Buddhist name generation service at a physical store using a smartphone application. Specific embodiments of the present invention are described below.

[1076] Hardware and Software Configuration

[1077] This system uses the following hardware and software:

[1078] User's device: Smartphone (iOS or Android)

[1079] Server: Cloud server (e.g. AWS)

[1080] Software: Python, Flask, OpenAI API

[1081] Database: PostgreSQL (stores user input data)

[1082] Data collection and preprocessing

[1083] Users launch their smartphone application and provide input data for generating a posthumous Buddhist name, including the deceased's personality, desired kanji characters, religious background, etc. The device collects this input data and stores it in a database.

[1084] On the device, the collected data is pre-processed, which involves cleaning and tokenizing the text data to convert it into a format that is easy for the AI ​​model to understand.

[1085] The process of generating Buddhist posthumous names

[1086] On the server, the preprocessed data is input into a generative AI model (e.g., OpenAI's generative AI model). This generates multiple posthumous Buddhist name candidates. From these candidates, the one that best suits the user's needs is selected.

[1087] Presentation and feedback of posthumous Buddhist names

[1088] The selected posthumous Buddhist name is presented to the user through the smartphone application's user interface. The user can confirm the presented posthumous Buddhist name and select "Approve" or "Regenerate." If "Regenerate" is selected, the server will regenerate the posthumous Buddhist name.

[1089] Examples of concrete examples and prompts

[1090] For example, if the user inputs "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Religious background: Jodo sect," the prompt text would be as follows:

[1091] Example prompt:

[1092] "The generative AI model generates a posthumous Buddhist name based on the following information: personality of the deceased: compassionate, desired kanji: auspicious, religious background: Jodo sect."

[1093] Based on this information, the generative AI model generates posthumous posthumous name candidates such as "Jishoin Shotoku Kenshi" and presents them to the user. This process makes it possible to provide a posthumous posthumous name generation service quickly and appropriately even in physical stores.

[1094] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1095] Step 1:

[1096] The user launches the smartphone application and provides input data for generating a posthumous Buddhist name. The user fills in the application's input form with information such as the deceased's personality, desired kanji, and religious background. This input data is received by the application and sent to the device. Input data includes, for example, "personality of the deceased: compassionate," "desired kanji: auspicious," and "religious background: Jodo sect."

[1097] Step 2:

[1098] The terminal collects input data sent by the user and saves it in a database. During this process, a database management system (such as PostgreSQL) is used to store the data in an appropriate format. Once the input data is saved, it can be used for subsequent processing.

[1099] Step 3:

[1100] The terminal preprocesses the collected data. This preprocessing step removes unnecessary information from the input data, cleans and tokenizes the text data, for example, removing special characters and unnecessary whitespace, and extracting only the necessary data. As a result of preprocessing, the data is output in a clean format.

[1101] Step 4:

[1102] The device sends the preprocessed data to a server, which converts the received data into a format that the generative AI model can understand. This conversion process involves converting the data into vector format. The converted data is then used as input for the generative AI model.

[1103] Step 5:

[1104] The server inputs the converted data into a generative AI model to generate candidate posthumous Buddhist names. Using a generative AI model (such as the OpenAI API), the server outputs multiple candidate posthumous Buddhist names based on the user's requests. Examples of generated candidate posthumous Buddhist names include "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1105] Step 6:

[1106] The server selects the most suitable name from the generated candidates. Here, the name that best fits the user's needs and characteristics is selected. The selected name is presented to the user in the next step.

[1107] Step 7:

[1108] The server sends the selected posthumous name to the terminal, which then presents it to the user through the application's user interface. The user can then confirm the name and select "Approve" or "Regenerate."

[1109] Step 8:

[1110] If the user selects "regenerate," the device sends a regeneration request to the server. The server then inputs the data into the generative AI model again to generate new posthumous Buddhist name candidates. The regenerated candidates are also presented to the user, and this process is repeated until the user is satisfied.

[1111] 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.

[1112] This invention is a system that collects user requests and characteristics and generates various posthumous Buddhist names using a generative AI model and an emotion engine. Below, the program processing of this system is explained in natural language.

[1113] Collecting input data

[1114] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[1115] Terminal: The terminal receives and collects information entered by the user.

[1116] Data Preprocessing

[1117] Terminal: The terminal preprocesses the collected data. In this step, unnecessary information is removed and the information is tokenized. For example, "Deceased's personality: Merciful" is converted to "Personality_Merciful".

[1118] Transforming model input data

[1119] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. For example, at this stage, the data is converted into a vector format.

[1120] Generation of Buddhist posthumous names

[1121] Server: Inputs the converted data into the generative AI model. Based on this, the model generates multiple posthumous Buddhist name candidates. For example, it outputs candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1122] Server: Evaluates the generated posthumous name candidates and selects the one that best suits the user's needs and characteristics. In this step, for example, "Jishoin Shotoku Kenshi" is selected as the best candidate.

[1123] Use of emotion engine

[1124] Server: The server uses the emotion engine to analyze the user's emotions from the collected user requests and characteristic data. Based on the analysis results, the server further generates or selects the posthumous name that best suits the user's emotions.

[1125] Presentation of posthumous Buddhist name

[1126] Server: Sends the selected posthumous name to the terminal.

[1127] Terminal: The terminal presents the generated posthumous name to the user.

[1128] User Feedback

[1129] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1130] Terminal: Using the emotion engine, the terminal analyzes the user's emotions when the user gives feedback. Based on the analysis results, the conditions for regenerating the posthumous Buddhist name are set.

[1131] Terminal: Sends feedback data and sentiment analysis results to the server. If a regeneration request is received, the posthumous name generation process is started again.

[1132] Specific examples

[1133] Example 1:

[1134] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1135] 2. Terminal: Receives data and performs preprocessing.

[1136] 3. Terminal: Sends preprocessed data to the server.

[1137] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[1138] 5. Server: Input data into the generative AI model, generating names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1139] 6. Server: Select "Jishoin Shotoku Kenshi" from the generated list.

[1140] 7. Server: Based on the collected user data, the emotion engine is used to analyze the user's emotions and select the generated posthumous name "Jishoin Shotoku Kenshi."

[1141] 8. Server: The selected posthumous Buddhist name is sent to the terminal, and the terminal presents "Jishoin Shotoku Kenshi" to the user.

[1142] 9. User: Click the "Regenerate" button to request a regeneration.

[1143] 10. Terminal: Use the emotion engine during feedback and set the regeneration conditions based on the analysis results.

[1144] 11. Server: Generate new posthumous name candidates, evaluate and select again, and send the results to the terminal.

[1145] This system makes it possible to efficiently and quickly provide diverse and fair posthumous names while respecting Buddhist culture and religious background. In addition, by utilizing an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[1146] The processing flow will be explained below.

[1147] Step 1:

[1148] User: The user accesses the terminal and inputs the deceased's personality, desired kanji, religious background, and other requests through the interface. For example, the user can input information such as "Deceased's personality: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1149] Step 2:

[1150] Terminal: The terminal receives the information entered by the user and stores it in a database.

[1151] Step 3:

[1152] Terminal: Preprocesses the collected data. In this step, unnecessary information is removed and the information is tokenized. For example, the input "Character of the deceased: Merciful" is converted to a format such as "Character_Merciful." Also, "Desired Kanji: Xiang" is converted to "Kanji_Xiang."

[1153] Step 4:

[1154] Terminal: The preprocessed data is formatted for data transfer (e.g., JSON format) and sent to the server.

[1155] Step 5:

[1156] Server: The server receives preprocessed data sent from the device, such as "personality_benevolent", "kanji_lucky", and "background_Jodo sect".

[1157] Step 6:

[1158] Server: Converts the received data into a format that the generative AI model can understand, such as vector format, using appropriate data preprocessing scripts.

[1159] Step 7:

[1160] Server: The converted data is input into the generative AI model. Based on this, the generative AI model generates multiple posthumous name candidates. For example, candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[1161] Step 8:

[1162] Server: Evaluates the generated multiple posthumous name candidates and selects the one that best suits the user's needs and characteristics. This evaluation uses the matching scores between the model's output data and the user's input data.

[1163] Step 9:

[1164] Server: Using the emotion engine, analyze the user's emotions based on the user's requests and feature data. Based on the analysis results, select or generate a posthumous name that best suits the user's emotions. In this step, an emotion analysis model is used.

[1165] Step 10:

[1166] Server: Sends the selected posthumous name to the terminal. For example, it may be sent in the format "Optimal posthumous name: Jishoin Shotoku Kenshi."

[1167] Step 11:

[1168] Terminal: The terminal presents the generated posthumous name, "Jishoin Shotoku Kenshi," to the user. The presentation interface includes a confirmation button and a regeneration button.

[1169] Step 12:

[1170] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1171] Step 13:

[1172] Terminal: When the user presses the "Regenerate" button, the system collects feedback. Furthermore, it uses an emotion engine to analyze the user's emotions. Based on these results, it sets new conditions for regenerating the posthumous name.

[1173] Step 14:

[1174] Terminal: Sends feedback data and emotion analysis results to the server.

[1175] Step 15:

[1176] Server: If a regeneration request is received, start the process again from step 5 to generate and evaluate new posthumous name candidates.

[1177] This system makes it possible to efficiently and quickly provide diverse and fair posthumous names while respecting Buddhist culture and religious background. In addition, by utilizing an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[1178] Example 2

[1179] 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."

[1180] In conventional posthumous Buddhist name generation systems, it is difficult to reflect the user's wishes and characteristics, and the generated posthumous Buddhist name may not match the user's feelings. As a result, there is a problem in that it is not possible to quickly provide a posthumous Buddhist name that satisfies the user.

[1181] 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 means for collecting information input by the user, means for preprocessing the collected information, means for converting the preprocessed information into a format understandable by the generative AI model, means for generating various candidates using the generative AI model using the converted information, means for selecting the optimal one from the generated candidates, means for presenting the selected candidate to the user, means for receiving user feedback and regenerating candidates as necessary, and means for analyzing the user's emotions using an emotion analysis engine and reflecting the results in the generation process. This makes it possible to quickly and accurately provide posthumous Buddhist names that meet the individual needs of the user.

[1182] "Means for collecting information entered by the user" refers to a device or program that receives information entered by the user, such as the deceased's personality, desired kanji characters, religious background, etc., and stores that information as data.

[1183] "Means for preprocessing collected information" refers to a device or program that executes a process to remove unnecessary data from input information and to tokenize or format necessary information.

[1184] "Means for converting preprocessed information into a format understandable by the generative AI model" refers to a device or program that converts preprocessed text data into numerical or vector data and processes it into a format that can be analyzed by the generative AI model.

[1185] "Means for generating a variety of candidates using a generative AI model using the converted information" refers to a device or program that inputs data into a generative AI model and executes the process of generating multiple candidate results (e.g., posthumous Buddhist name candidates).

[1186] "Means for selecting the best one from the generated candidates" refers to a device or program that executes the process of evaluating and selecting the one that best suits the user's needs and characteristics from the multiple generated candidates.

[1187] The "means for presenting the selected candidate to the user" refers to a device or program that executes a process of transmitting the selected candidate from the server to the terminal and displaying it in a form that can be confirmed by the user.

[1188] The "means for receiving user feedback and regenerating candidates as necessary" refers to a device or program that allows the user to input their satisfaction or dissatisfaction with the presented candidates and executes the candidate generation process again based on that feedback information.

[1189] "Means for analyzing user emotions using an emotion analysis engine and reflecting the results in the generation process" refers to a device or program that analyzes emotions based on information and feedback collected from users and uses the analysis results in the next candidate generation process.

[1190] A "deep learning model" is a machine learning model that uses a multi-layer neural network to learn features from data and perform advanced analysis and generation.

[1191] MODE FOR CARRYING OUT THE INVENTION

[1192] This paper describes a system that collects user requests and characteristics and generates various posthumous Buddhist names using a generative AI model and an emotion engine. The configuration and operation of this system are explained, along with each component, the technologies used, and specific examples.

[1193] Collecting input data

[1194] User: The user accesses the device through a browser or a dedicated application and uses an input form to enter information about the deceased person's personality, desired kanji, religious background, etc. For example, the user enters information such as "personality of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1195] Data Preprocessing

[1196] Terminal: The terminal receives the information entered by the user and performs preprocessing. Preprocessing includes removing unnecessary information, tokenizing the text data, and format conversion. For example, "Deceased's personality: Merciful" can be converted to "Personality_Merciful."

[1197] Transforming model input data

[1198] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. Specifically, it encodes the text data into a numeric vector and maps each feature to the appropriate dimension. This conversion process may use a popular natural language processing toolkit (e.g., NLTK or spaCy).

[1199] Generation of Buddhist posthumous names

[1200] Server: The server inputs the encoded data into the generative AI model, which uses deep learning text generation technology to generate multiple posthumous Buddhist name candidates. For example, candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[1201] Candidate Selection

[1202] Server: From the generated posthumous name candidates, select the one that best suits the user's requests and characteristics. The evaluation criteria are based on the AI ​​model's scoring algorithm.

[1203] Use of emotion engine

[1204] Server: The server uses an emotion engine to analyze the user's emotions based on the collected user requests and characteristic data. Based on the analysis results, a process is carried out to select the posthumous Buddhist name that best suits the user's emotions. For example, if the user's emotions indicate "feelings of peace," "Jishoin Shotoku Kenshi" may be selected.

[1205] Presentation of posthumous Buddhist name

[1206] Server: Sends the selected posthumous name to the terminal. The REST API is generally used as the communication protocol, and the selected posthumous name is often sent in JSON format.

[1207] Terminal: The terminal presents the generated posthumous name to the user. For example, it displays "Jishoin Shotoku Kenshi" on the screen.

[1208] User Feedback

[1209] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1210] Terminal: Receives user feedback and analyzes the information through a sentiment analysis engine.

[1211] Terminal: The feedback data and emotion analysis results are sent to the server, and if a regeneration process is required, the posthumous name is generated again.

[1212] Specific examples

[1213] Example 1:

[1214] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1215] 2. Terminal: Receives data and performs preprocessing.

[1216] 3. Terminal: Sends preprocessed data to the server.

[1217] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[1218] 5. Server: Input data into the generative AI model and generate a large number of Buddhist posthumous names.

[1219] 6. Server: Select the best candidate from the generated ones and choose "Jishoin Shotoku Kenshi."

[1220] 7. Server: Analyzes the user's emotions using an emotion engine and selects the most appropriate posthumous name based on the analysis results.

[1221] 8. Server: The selected posthumous Buddhist name is sent to the terminal, and the terminal presents "Jishoin Shotoku Kenshi" to the user.

[1222] 9. User: Click the "Regenerate" button to request a regeneration.

[1223] 10. Terminal: Set the regeneration conditions based on the feedback and send it to the server again.

[1224] 11. Server: Generate new posthumous name candidates, re-evaluate and re-select, and send the results to the terminal.

[1225] This system makes it possible to efficiently and quickly provide a variety of posthumous Buddhist names that respect Buddhist culture and religious background. In addition, by using an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[1226] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1227] Step 1:

[1228] User: The user accesses the device through a browser or a dedicated application and uses an input form to enter information about the deceased person's personality, desired kanji, religious background, etc. For example, the user enters information such as "personality of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1229] Input: Information entered by the user into the device

[1230] Output: Collected user information (text format)

[1231] Step 2:

[1232] Terminal: The terminal receives the input information and performs preprocessing. Preprocessing includes removing unnecessary information, tokenizing the text data, and format conversion. For example, it converts "Deceased's personality: Merciful" into "Personality_Merciful".

[1233] Input: Collected user information (text format)

[1234] Output: Preprocessed data (tokenized text format)

[1235] Step 3:

[1236] Terminal: Converts preprocessed data into JSON format or other format and sends it to the server.

[1237] Input: Preprocessed data (tokenized text format)

[1238] Output: JSON format data

[1239] Step 4:

[1240] Server: The server converts the preprocessed data received from the device into a format that the generative AI model can understand. Specifically, it encodes the text data into numeric vectors and maps each feature to the appropriate dimension. This can be achieved using a natural language processing toolkit (such as NLTK or spaCy).

[1241] Input: JSON format data

[1242] Output: Numerical vector data for generative AI models

[1243] Step 5:

[1244] Server: The generated numerical vector data is input into the generative AI model. The model uses deep learning technology to generate multiple posthumous Buddhist name candidates. For example, posthumous Buddhist names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[1245] Input: Numerical vector data for generative AI models

[1246] Output: Multiple posthumous name candidates

[1247] Step 6:

[1248] Server: From the generated posthumous name candidates, select the one that best suits the user's requests and characteristics. The selection is based on the AI ​​model's scoring algorithm, and the most suitable posthumous name is selected.

[1249] Input: Multiple posthumous name candidates

[1250] Output: Best posthumous name candidate (e.g. "Jishoin Shotoku Kenshi")

[1251] Step 7:

[1252] Server: Using the emotion engine, the emotion is analyzed from the user's request and characteristic data. Based on the analysis results, an additional process is performed to select the posthumous name that best suits the user's emotion.

[1253] Input: User requests and characteristic data

[1254] Output: The final posthumous name taking into account the results of sentiment analysis (e.g., "Jishoin Shotoku Kenshi")

[1255] Step 8:

[1256] Server: The selected posthumous name is sent to the terminal. The REST API is used as the communication protocol, and the posthumous name is sent in JSON format.

[1257] Input: Final posthumous name taking into account the results of sentiment analysis

[1258] Output: JSON format data to send to the terminal

[1259] Step 9:

[1260] Terminal: The terminal analyzes the received data and presents the posthumous Buddhist name to the user. For example, it displays "Jishoin Shotoku Kenshi" on the screen.

[1261] Input: JSON format posthumous name data

[1262] Output: The posthumous name presented to the user

[1263] Step 10:

[1264] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1265] Input: User feedback (approval or regeneration)

[1266] Output: Feedback data

[1267] Step 11:

[1268] Terminal: Receives user feedback and analyzes it using the emotion engine. Based on the results, it sets the regeneration conditions and sends them to the server.

[1269] Input: Feedback data

[1270] Output: JSON format data containing the regeneration conditions

[1271] Step 12:

[1272] Server: Receives the regeneration request and re-runs the process of generating new posthumous name candidates. For example, new candidates are generated and evaluated / selected again.

[1273] Input: JSON format data containing regeneration conditions

[1274] Output: New posthumous name candidates and evaluation results

[1275] (Application example 2)

[1276] 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."

[1277] On modern online shopping sites, users are faced with a vast amount of product information, making it difficult to choose products that suit their preferences. Furthermore, many existing recommendation systems do not take user emotions into account, and often make recommendations that dissatisfy users. Therefore, there is a need for a personalized product recommendation system that takes into account not only user preferences and needs, but also emotions.

[1278] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting personal requests and characteristics input by the user, means for preprocessing the collected data, means for converting the preprocessed data into a format understandable by the generative AI model, means for generating various posthumous posthumous name candidates using the converted data with the generative AI model, means for selecting the most appropriate one from the generated posthumous posthumous name candidates, means for presenting the selected posthumous posthumous name to the user, means for receiving user feedback and regenerating the posthumous posthumous name as needed, means for collecting user preferences and needs and generating optimal product recommendations using the generative AI model, means for presenting the generated product recommendations to the user, and means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions. This enables personalized product recommendations that are tailored to the user's individual preferences and emotions.

[1279] "Means for collecting personal requests and characteristics input by users" refers to devices or software for acquiring information input by users using terminals.

[1280] "Means for preprocessing collected data" refers to devices or software that convert acquired data into a format that is easy to analyze by tokenizing it, removing unnecessary information, etc.

[1281] "Means for converting preprocessed data into a format understandable by the generative AI model" refers to a device or software for converting preprocessed data into a data format (e.g., vector format) that can be appropriately processed by the generative AI model.

[1282] "Means for generating a variety of Buddhist posthumous name candidates using a generative AI model" refers to a device or software that uses a generative AI model to create multiple Buddhist posthumous name candidates based on user information.

[1283] "Means for selecting the most suitable posthumous name from among the posthumous name candidates" refers to a device or software that selects the posthumous name that best suits the user's requests and characteristics from among the multiple posthumous name candidates that have been generated.

[1284] "Means for presenting the selected posthumous Buddhist name to the user" refers to a device or software for displaying or notifying the user of the selected posthumous Buddhist name.

[1285] "Means for receiving user feedback and regenerating posthumous names as necessary" refers to a device or software that regenerates posthumous names in response to user evaluations and requests.

[1286] "Means for collecting user preferences and needs and generating optimal product recommendations using a generative AI model" refers to a device or software that collects information such as a user's purchase history, preferences, and budget, and recommends optimal products using a generative AI model.

[1287] The "means for presenting the generated product recommendations to the user" refers to a device or software for displaying or notifying the user of the recommended products.

[1288] "Means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions" refers to a device or software that analyzes user emotion data and further evaluates or regenerates product recommendations based on the results.

[1289] The present invention is a system that collects user requests and characteristics, and generates various posthumous Buddhist names and product recommendations using a generative AI model and an emotion engine. Specific embodiments of the system are described below.

[1290] System Configuration

[1291] The system mainly includes the following elements:

[1292] 1. Device: The device that collects information entered by the user (e.g., smartphone, computer, etc.).

[1293] 2. Server: The computer system responsible for preprocessing the data, running the generative AI model, processing the emotion engine, and transmitting the results.

[1294] 3. Generative AI model: An artificial intelligence model (e.g., GPT-3) that generates a variety of posthumous name candidates and product recommendations based on user requests and characteristics.

[1295] 4. Emotion Engine: An engine (e.g., EmotionEngine) for analyzing user emotions and evaluating and regenerating generated posthumous name candidates and product recommendations.

[1296] Program processing

[1297] 1. User Information Collection

[1298] Users input information such as their personal needs, characteristics, purchase history, preferences, and budget through a terminal, using an interface.

[1299] example:

[1300] The user enters into the terminal, "Past purchase history: shoes, bags," "Preferences: casual, blue," and "Budget: 10,000 yen."

[1301] 2. Data Preprocessing

[1302] The device pre-processes the collected data, removing unnecessary information and performing processes such as tokenization.

[1303] 3. Transformation of model input data

[1304] The server converts the preprocessed data into a format that the generative AI model can understand, by converting the data into vector format.

[1305] 4. Generate posthumous names and product recommendations

[1306] The server inputs the converted data into a generative AI model to generate a variety of posthumous name candidates and product recommendations.

[1307] example:

[1308] The generative AI model outputs suggestions such as "Jishoin Shotoku Kenshi," "Shozenin Tokuju Jiei," "casual blue sneakers," and "blue casual bag."

[1309] 5. Select a posthumous name and recommended products

[1310] The server selects the best one from the generated candidates, taking into consideration the user's requests and characteristics.

[1311] 6. Use of Emotion Engines

[1312] The server uses an emotion engine to analyze the user's emotions, and then selects the most appropriate posthumous name and product recommendations. It also regenerates them as necessary.

[1313] 7. Presentation of results

[1314] The server transmits the selected posthumous name and product recommendations to the terminal and presents them to the user.

[1315] example:

[1316] Prompt: "We're looking for the perfect product for you based on your past purchases. What kind of item are you looking for?"

[1317] 8. Use of User Feedback

[1318] The user provides feedback on the presented results, which is used in the next generation process.

[1319] This allows the system to provide personalized posthumous name generation and product recommendations that are in line with each user's individual needs and feelings.

[1320] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1321] Step 1:

[1322] The user uses the device to input information such as personal requests, characteristics, purchase history, preferences, and budget through the interface. This information becomes input data. For example, a user might input "Past purchase history: shoes, bags," "Preferences: casual, blue," and "Budget: 10,000 yen." The device collects this information.

[1323] Step 2:

[1324] The device preprocesses the collected data. First, it removes unnecessary information and extracts the important information. Then it tokenizes the data and converts it into a format that is easy for the generative AI model to handle. For example, it converts "Past purchase history: shoes, bags" into "Purchase history_shoes, purchase history_bags." The output is the preprocessed data.

[1325] Step 3:

[1326] The server receives the preprocessed data and converts it into a format that the generative AI model can understand. This operation involves data processing, such as converting text data into vector format. The input is the preprocessed data, and the output is the model input data.

[1327] Step 4:

[1328] The server inputs model input data into the generative AI model and generates a variety of posthumous Buddhist name candidates and product recommendations. For example, posthumous Buddhist names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" and product candidates such as "casual blue sneakers" and "blue casual bag" are generated. The output is the generated posthumous Buddhist name candidates and product recommendations.

[1329] Step 5:

[1330] The server selects from the generated posthumous name candidates and product recommendations those that best fit the user's needs and characteristics. This selection process uses scoring and ranking. The input is the generated posthumous name candidates and product recommendations, and the output is the optimal posthumous name candidate and product recommendation.

[1331] Step 6:

[1332] The server uses an emotion engine to analyze the user's emotions and select or regenerate more optimal posthumous names and product recommendations based on the emotions. The recommendations are reevaluated or regenerated based on the emotion data. The input is the user's emotion data and the selected posthumous names and product recommendations, and the output is the final posthumous names and product recommendations.

[1333] Step 7:

[1334] The server sends the final selected posthumous name and product recommendations to the terminal, which then presents them to the user. For example, a prompt message such as "We are searching for the best product for you based on your past purchase history. What kind of item are you looking for?" is displayed, and the generated results are then displayed. The output is the posthumous name and product recommendations presented to the user.

[1335] Step 8:

[1336] The user provides feedback on the presented results. The feedback includes a simple evaluation such as "satisfied" or "dissatisfied," and the terminal collects this. The input is the user's feedback, and the output is the collected feedback data.

[1337] Step 9:

[1338] The terminal sends the collected feedback data to the server, which uses this data to set the conditions for regeneration. If the regeneration process is necessary, steps 4 to 7 described above are executed again. The input is the feedback data, and the output is the regenerated posthumous name or product recommendation.

[1339] 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.

[1340] 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.

[1341] 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.

[1342] [Fourth embodiment]

[1343] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1344] 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.

[1345] 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).

[1346] 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.

[1347] 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.

[1348] 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).

[1349] 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.

[1350] 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.

[1351] 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.

[1352] 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.

[1353] 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.

[1354] 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.

[1355] 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."

[1356] This system collects user requests and characteristics and generates a variety of posthumous Buddhist names using a generative AI model. Below, we explain the program processing of this system in natural language.

[1357] Collecting input data

[1358] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[1359] Terminal: The terminal receives and collects information entered by the user.

[1360] Data Preprocessing

[1361] Terminal: The terminal preprocesses the collected data. This step involves removing unnecessary information and converting it into a specific format, for example, tokenizing certain strings.

[1362] Transforming model input data

[1363] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. For example, at this stage, the data is converted into a vector format.

[1364] Generation of Buddhist posthumous names

[1365] Server: The server sends the converted data to the generative AI model as input. The generative AI model then generates multiple posthumous Buddhist name candidates based on that data. For example, it generates candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1366] Server: The server selects from the generated posthumous name candidates the one that best suits the user's requests and characteristics.

[1367] Presentation of posthumous Buddhist name

[1368] Server: Sends the selected posthumous name to the terminal.

[1369] Terminal: The terminal presents the generated posthumous name to the user.

[1370] User Feedback

[1371] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1372] Terminal: The terminal sends the user feedback to the server and, if there is a regeneration request, starts the process again.

[1373] Specific examples

[1374] Example 1:

[1375] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1376] 2. Terminal: Receives data and performs preprocessing.

[1377] 3. Terminal: Sends preprocessed data to the server.

[1378] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[1379] 5. Server: Input data into the generative AI model, generating names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1380] 6. Server: Select "Jishoin Shotoku Kenshi" from the generated list.

[1381] 7. Server: Sends the selected posthumous name to the terminal.

[1382] 8. Terminal: Present "Jishoin Shotoku Kenshi" to the user.

[1383] 9. User: Click the "Regenerate" button to request a regeneration.

[1384] 10. Server: Generate new posthumous name candidates and present them again.

[1385] This system makes it possible to provide a diverse and fair range of posthumous Buddhist names efficiently and quickly, while respecting Buddhist culture and religious backgrounds.

[1386] The processing flow will be explained below.

[1387] Step 1:

[1388] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[1389] Step 2:

[1390] Terminal: The terminal receives and collects information entered by the user, such as "character of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1391] Step 3:

[1392] Terminal: Preprocesses the collected data. Specifically, it removes unnecessary information and tokenizes the information. For example, it converts "Deceased's personality: Merciful" into "Personality_Merciful".

[1393] Step 4:

[1394] Terminal: Sends preprocessed data to the server. For example, it sends data converted into "personality_benevolent", "kanji_lucky", and "background_Jodo sect".

[1395] Step 5:

[1396] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. Specifically, it converts the tokenized data into vector format, resulting in numerical data such as "[0.2, 0.4, -0.1]".

[1397] Step 6:

[1398] Server: Inputs the converted data into the generative AI model. Based on this, the model generates multiple posthumous Buddhist name candidates. For example, it outputs candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1399] Step 7:

[1400] Server: Evaluates the generated posthumous name candidates and selects the one that best suits the user's needs and characteristics. In this step, for example, "Jishoin Shotoku Kenshi" is selected as the best candidate.

[1401] Step 8:

[1402] Server: Sends the selected posthumous name to the terminal.

[1403] Step 9:

[1404] Terminal: The terminal presents the generated posthumous Buddhist name "Jishoin Shotoku Kenshi" to the user.

[1405] Step 10:

[1406] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1407] Step 11:

[1408] Terminal: The terminal sends the user feedback to the server. If a regeneration request is received, the process starts again from step 5.

[1409] Step 12:

[1410] Server: Generates new posthumous name candidates, evaluates and selects again, and sends the results to the terminal.

[1411] Example 1

[1412] 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."

[1413] Conventional posthumous Buddhist name generation systems have difficulty quickly providing customized posthumous Buddhist names in response to user requests, and have been unable to efficiently reflect user feedback. For this reason, there is a need for systems that can accurately generate posthumous Buddhist names that reflect the personality and wishes of the deceased.

[1414] 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.

[1415] In this invention, the server includes a means for collecting information input by a user, a means for preprocessing the collected data, and a means for converting the preprocessed data into a format understandable by the generative AI model. This enables data based on user requests to be quickly and accurately processed and converted into a format understandable by the generative AI model. The server also includes a means for generating a variety of name candidates using the converted data with the generative AI model, a means for selecting the best name from the generated name candidates, a means for presenting the selected name to the user, and a means for receiving user feedback and regenerating the name as necessary. This makes it possible to efficiently and quickly provide a variety of fair names and increase user satisfaction.

[1416] "User" refers to a person who utilizes the system to input information and receive output results.

[1417] "Information" refers to data about the deceased that is entered into the system, including personality, desired kanji characters, religious background, etc.

[1418] "Means of collection" refers to the process of receiving information entered by a user and storing it in a database.

[1419] "Preprocessing" refers to the process of removing unnecessary parts from collected information and converting it into a specific format.

[1420] A "generative AI model" refers to an artificial intelligence model that uses deep learning technology to generate diverse names and text from given data.

[1421] "Means of conversion" refers to the process of converting preprocessed data into a vector format or other format that can be understood by the generative AI model.

[1422] "Means for generating name candidates" refers to the process by which the generative AI model uses the converted data as input to generate multiple names.

[1423] "Means of selection" refers to the process of using an algorithm to select the best name from the generated name candidates.

[1424] "Presenting means" refers to the process of displaying the selected name to the user.

[1425] "Means for receiving feedback" refers to a process for receiving feedback information such as user opinions and requests for regeneration.

[1426] "Means of regeneration" refers to the process of regenerating new names based on user feedback.

[1427] This system generates a variety of names using a generative AI model based on information entered by the user. The system's program is composed of the following hardware and software:

[1428] Hardware and software used

[1429] Hardware:

[1430] Terminal: An interface device (e.g., computer, smartphone, tablet) through which a user inputs information.

[1431] Server: The main computing unit that processes data and generates names.

[1432] software:

[1433] Interface Application: An application that has a GUI for users to enter information.

[1434] Database Management System: A system for storing data collected from users.

[1435] Preprocessing algorithm: Software for preprocessing the collected data.

[1436] Generative AI models: For example, AI models that use deep learning techniques (such as GPT-3).

[1437] Data transformation utilities: Tools for converting pre-processed data into a format understandable by generative AI models.

[1438] Specific processing of the program

[1439] The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through an interface application. For example, the user can input information such as "Deceased's personality: compassionate," "Desired kanji: auspicious," and "Religious background: Buddhism."

[1440] The device receives the input information and stores it in a database. After the data is stored, a preprocessing algorithm is run to remove unnecessary information and convert the data into a specific format (e.g., JSON). During this stage, the input text is split into tokens and only the necessary information is extracted.

[1441] The server receives the preprocessed data and uses a data conversion utility to convert it into a format that the generative AI model can understand (e.g., vector format).The server then supplies the data as input to the generative AI model, which then generates name candidates based on the prompt sentence.

[1442] For example, the following prompt sentences are used:

[1443] "The deceased's personality was compassionate, their desired kanji was Xiang, and their religious background was Buddhism. Please generate a name based on this information."

[1444] The server receives multiple name candidates from the generative AI model and selects the best candidate using an appropriate algorithm. The selected name is then sent back to the device, which then presents it to the user. The user checks the name and, if satisfied, presses the "Approve" button; if not, presses the "Regenerate" button and sends feedback to the server. The user's feedback is used as the criteria for regeneration, and a new name is generated.

[1445] This system makes it possible to provide diverse and fair names efficiently and quickly, while respecting Buddhist culture and religious backgrounds.

[1446] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1447] Step 1: Collect input data

[1448] User: Accesses the terminal and inputs information (e.g., the personality of the deceased, desired kanji, religious background) through the interface.

[1449] Input: Text information entered by the user.

[1450] Output: Raw text information sent to the terminal.

[1451] Specific operation: When the user enters text information into the input form and presses the send button, the information is sent to the terminal.

[1452] Step 2: Storing and Preprocessing Data

[1453] Terminal: Stores the information received from the user in a database and applies pre-processing algorithms.

[1454] Input: Raw text information.

[1455] Data processing: Removing unnecessary information and converting it into a specific format (e.g., JSON format).

[1456] Output: Preprocessed data.

[1457] Specific operation: The terminal takes the input data, removes unnecessary spaces and special characters, and converts it to JSON format.

[1458] Step 3: Transform the data

[1459] Server: Converts preprocessed data into a format that can be understood by the generative AI model.

[1460] Input: Preprocessed data.

[1461] Data operations: Convert text data into a numeric vector format.

[1462] Output: Data in vector format that can be understood by a generative AI model.

[1463] Specific operation: The server analyzes the preprocessed data and converts it into the corresponding vectors.

[1464] Step 4: Generate a Buddhist name

[1465] Server: The converted data is input into a generative AI model to generate name candidates.

[1466] Input: Vector data and prompt.

[1467] Data Computation: Generate name suggestions based on generative AI models.

[1468] Output: Multiple name candidates.

[1469] Specific operation: The server sends data to the AI ​​model based on the prompt text, and generates multiple name candidates. For example, "The deceased's personality was compassionate, the desired kanji was auspicious, and the religious background was Buddhist. Please generate a name based on this information."

[1470] Step 5: Choose the best name

[1471] Server: Selects the best name from the generated name candidates.

[1472] Input: Multiple generated name candidates.

[1473] Data calculation: Algorithms are used to evaluate and select the best candidates.

[1474] Output: The selected name.

[1475] Specific behavior: The server scores the generated candidates and selects the one with the highest score.

[1476] Step 6: Name suggestion

[1477] Server: Sends the selected name to the device.

[1478] Input: Selected Name.

[1479] Output: The name that is presented to the user.

[1480] Specific operation: The server sends the selected name to the terminal, which displays it to the user.

[1481] Step 7: Receiving and regenerating feedback

[1482] User: Review the proposed name and provide feedback, pressing the "Regenerate" button if unhappy.

[1483] Input: User feedback information.

[1484] Output: Regeneration request or approval.

[1485] Specific operation: The user sends an evaluation of the provided name via the terminal and requests regeneration if necessary.

[1486] Terminal: Sends user feedback to the server.

[1487] Input: User feedback.

[1488] Output: Feedback data.

[1489] Specific operation: The device receives the user's feedback and sends it to the server.

[1490] Server: Takes user feedback and regenerates new names.

[1491] Input: Feedback data from users.

[1492] Data operation: Generate a new name based on the regeneration condition.

[1493] Output: Regenerated name candidates.

[1494] What happens: The server uses the feedback information to run the process again and provide the user with a new name.

[1495] (Application example 1)

[1496] 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."

[1497] Conventional posthumous Buddhist name generation systems can only be used online by users and are not designed for use in brick-and-mortar stores, making it difficult to provide services in brick-and-mortar stores such as Buddhist altar shops. Furthermore, generating posthumous Buddhist names requires specialized knowledge, making it often difficult to provide appropriate posthumous Buddhist names instantly.

[1498] 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.

[1499] In this invention, the server includes means for collecting personal requests and characteristics input by users, means for preprocessing the collected data, means for converting the preprocessed data into a format understandable by the generation AI model, means for allowing users to use the posthumous Buddhist name generation service on their own devices in a physical store via a smartphone application, and means for receiving user feedback and regenerating posthumous Buddhist names as necessary. This allows users to easily and quickly use the posthumous Buddhist name generation service even in physical stores such as Buddhist altar shops.

[1500] "User" refers to an individual or corporation that uses the system, specifically a customer who uses the posthumous name generation service.

[1501] "Requests" refer to the wishes and requirements that users provide to the system, specifically information such as the kanji characters they would like to use in their posthumous name and their religious background.

[1502] "Characteristics" refers to information that indicates attributes or personalities of the user or the deceased, and specifically includes the personality of the deceased.

[1503] "Means of collection" refers to the function for acquiring and storing input data from users.

[1504] "Preprocessing means" refers to data processing to convert collected data into a format that is easy for the AI ​​model to understand.

[1505] A "generative AI model" refers to artificial intelligence that generates posthumous Buddhist names and other information based on input data, and specifically includes deep learning models.

[1506] "Means for converting" refers to the ability to convert pre-processed data into a format understandable by the generative AI model.

[1507] "Means for generating a variety of Buddhist posthumous name candidates" refers to the function of generating multiple Buddhist posthumous name candidates using a generative AI model.

[1508] "Means of selection" refers to the function of selecting the most appropriate posthumous name from the multiple posthumous name candidates generated.

[1509] "Means of presentation" refers to the function of displaying and notifying the user of the selected posthumous Buddhist name.

[1510] "Means for regeneration" refers to the function of regenerating a new posthumous Buddhist name based on user feedback.

[1511] "Smartphone application" refers to software that runs on a smartphone and allows users to use the posthumous Buddhist name generation service.

[1512] "Physical store" refers to a physically existing commercial facility, specifically including Buddhist altar shops and other stores.

[1513] "Feedback" refers to reactions and opinions from users regarding the Buddhist posthumous names presented.

[1514] MODE FOR CARRYING OUT THE INVENTION

[1515] The present invention provides a system for enabling users to receive a posthumous Buddhist name generation service at a physical store using a smartphone application. Specific embodiments of the present invention are described below.

[1516] Hardware and Software Configuration

[1517] This system uses the following hardware and software:

[1518] User's device: Smartphone (iOS or Android)

[1519] Server: Cloud server (e.g. AWS)

[1520] Software: Python, Flask, OpenAI API

[1521] Database: PostgreSQL (stores user input data)

[1522] Data collection and preprocessing

[1523] Users launch their smartphone application and provide input data for generating a posthumous Buddhist name, including the deceased's personality, desired kanji characters, religious background, etc. The device collects this input data and stores it in a database.

[1524] On the device, the collected data is pre-processed, which involves cleaning and tokenizing the text data to convert it into a format that is easy for the AI ​​model to understand.

[1525] The process of generating Buddhist posthumous names

[1526] On the server, the preprocessed data is input into a generative AI model (e.g., OpenAI's generative AI model). This generates multiple posthumous Buddhist name candidates. From these candidates, the one that best suits the user's needs is selected.

[1527] Presentation and feedback of posthumous Buddhist names

[1528] The selected posthumous Buddhist name is presented to the user through the smartphone application's user interface. The user can confirm the presented posthumous Buddhist name and select "Approve" or "Regenerate." If "Regenerate" is selected, the server will regenerate the posthumous Buddhist name.

[1529] Examples of concrete examples and prompts

[1530] For example, if the user inputs "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Religious background: Jodo sect," the prompt text would be as follows:

[1531] Example prompt:

[1532] "The generative AI model generates a posthumous Buddhist name based on the following information: personality of the deceased: compassionate, desired kanji: auspicious, religious background: Jodo sect."

[1533] Based on this information, the generative AI model generates posthumous posthumous name candidates such as "Jishoin Shotoku Kenshi" and presents them to the user. This process makes it possible to provide a posthumous posthumous name generation service quickly and appropriately even in physical stores.

[1534] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1535] Step 1:

[1536] The user launches the smartphone application and provides input data for generating a posthumous Buddhist name. The user fills in the application's input form with information such as the deceased's personality, desired kanji, and religious background. This input data is received by the application and sent to the device. Input data includes, for example, "personality of the deceased: compassionate," "desired kanji: auspicious," and "religious background: Jodo sect."

[1537] Step 2:

[1538] The terminal collects input data sent by the user and saves it in a database. During this process, a database management system (such as PostgreSQL) is used to store the data in an appropriate format. Once the input data is saved, it can be used for subsequent processing.

[1539] Step 3:

[1540] The terminal preprocesses the collected data. This preprocessing step removes unnecessary information from the input data, cleans and tokenizes the text data, for example, removing special characters and unnecessary whitespace, and extracting only the necessary data. As a result of preprocessing, the data is output in a clean format.

[1541] Step 4:

[1542] The device sends the preprocessed data to a server, which converts the received data into a format that the generative AI model can understand. This conversion process involves converting the data into vector format. The converted data is then used as input for the generative AI model.

[1543] Step 5:

[1544] The server inputs the converted data into a generative AI model to generate candidate posthumous Buddhist names. Using a generative AI model (such as the OpenAI API), the server outputs multiple candidate posthumous Buddhist names based on the user's requests. Examples of generated candidate posthumous Buddhist names include "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1545] Step 6:

[1546] The server selects the most suitable name from the generated candidates. Here, the name that best fits the user's needs and characteristics is selected. The selected name is presented to the user in the next step.

[1547] Step 7:

[1548] The server sends the selected posthumous name to the terminal, which then presents it to the user through the application's user interface. The user can then confirm the name and select "Approve" or "Regenerate."

[1549] Step 8:

[1550] If the user selects "regenerate," the device sends a regeneration request to the server. The server then inputs the data into the generative AI model again to generate new posthumous Buddhist name candidates. The regenerated candidates are also presented to the user, and this process is repeated until the user is satisfied.

[1551] 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.

[1552] This invention is a system that collects user requests and characteristics and generates various posthumous Buddhist names using a generative AI model and an emotion engine. Below, the program processing of this system is explained in natural language.

[1553] Collecting input data

[1554] User: The user accesses the terminal and inputs information such as the deceased's personality, desired kanji, religious background, etc. through the interface.

[1555] Terminal: The terminal receives and collects information entered by the user.

[1556] Data Preprocessing

[1557] Terminal: The terminal preprocesses the collected data. In this step, unnecessary information is removed and the information is tokenized. For example, "Deceased's personality: Merciful" is converted to "Personality_Merciful".

[1558] Transforming model input data

[1559] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. For example, at this stage, the data is converted into a vector format.

[1560] Generation of Buddhist posthumous names

[1561] Server: Inputs the converted data into the generative AI model. Based on this, the model generates multiple posthumous Buddhist name candidates. For example, it outputs candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1562] Server: Evaluates the generated posthumous name candidates and selects the one that best suits the user's needs and characteristics. In this step, for example, "Jishoin Shotoku Kenshi" is selected as the best candidate.

[1563] Use of emotion engine

[1564] Server: The server uses the emotion engine to analyze the user's emotions from the collected user requests and characteristic data. Based on the analysis results, the server further generates or selects the posthumous name that best suits the user's emotions.

[1565] Presentation of posthumous Buddhist name

[1566] Server: Sends the selected posthumous name to the terminal.

[1567] Terminal: The terminal presents the generated posthumous name to the user.

[1568] User Feedback

[1569] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1570] Terminal: Using the emotion engine, the terminal analyzes the user's emotions when the user gives feedback. Based on the analysis results, the conditions for regenerating the posthumous Buddhist name are set.

[1571] Terminal: Sends feedback data and sentiment analysis results to the server. If a regeneration request is received, the posthumous name generation process is started again.

[1572] Specific examples

[1573] Example 1:

[1574] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1575] 2. Terminal: Receives data and performs preprocessing.

[1576] 3. Terminal: Sends preprocessed data to the server.

[1577] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[1578] 5. Server: Input data into the generative AI model, generating names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei."

[1579] 6. Server: Select "Jishoin Shotoku Kenshi" from the generated list.

[1580] 7. Server: Based on the collected user data, the emotion engine is used to analyze the user's emotions and select the generated posthumous name "Jishoin Shotoku Kenshi."

[1581] 8. Server: The selected posthumous Buddhist name is sent to the terminal, and the terminal presents "Jishoin Shotoku Kenshi" to the user.

[1582] 9. User: Click the "Regenerate" button to request a regeneration.

[1583] 10. Terminal: Use the emotion engine during feedback and set the regeneration conditions based on the analysis results.

[1584] 11. Server: Generate new posthumous name candidates, evaluate and select again, and send the results to the terminal.

[1585] This system makes it possible to efficiently and quickly provide diverse and fair posthumous names while respecting Buddhist culture and religious background. In addition, by utilizing an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[1586] The processing flow will be explained below.

[1587] Step 1:

[1588] User: The user accesses the terminal and inputs the deceased's personality, desired kanji, religious background, and other requests through the interface. For example, the user can input information such as "Deceased's personality: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1589] Step 2:

[1590] Terminal: The terminal receives the information entered by the user and stores it in a database.

[1591] Step 3:

[1592] Terminal: Preprocesses the collected data. In this step, unnecessary information is removed and the information is tokenized. For example, the input "Character of the deceased: Merciful" is converted to a format such as "Character_Merciful." Also, "Desired Kanji: Xiang" is converted to "Kanji_Xiang."

[1593] Step 4:

[1594] Terminal: The preprocessed data is formatted for data transfer (e.g., JSON format) and sent to the server.

[1595] Step 5:

[1596] Server: The server receives preprocessed data sent from the device, such as "personality_benevolent", "kanji_lucky", and "background_Jodo sect".

[1597] Step 6:

[1598] Server: Converts the received data into a format that the generative AI model can understand, such as vector format, using appropriate data preprocessing scripts.

[1599] Step 7:

[1600] Server: The converted data is input into the generative AI model. Based on this, the generative AI model generates multiple posthumous name candidates. For example, candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[1601] Step 8:

[1602] Server: Evaluates the generated multiple posthumous name candidates and selects the one that best suits the user's needs and characteristics. This evaluation uses the matching scores between the model's output data and the user's input data.

[1603] Step 9:

[1604] Server: Using the emotion engine, analyze the user's emotions based on the user's requests and feature data. Based on the analysis results, select or generate a posthumous name that best suits the user's emotions. In this step, an emotion analysis model is used.

[1605] Step 10:

[1606] Server: Sends the selected posthumous name to the terminal. For example, it may be sent in the format "Optimal posthumous name: Jishoin Shotoku Kenshi."

[1607] Step 11:

[1608] Terminal: The terminal presents the generated posthumous name, "Jishoin Shotoku Kenshi," to the user. The presentation interface includes a confirmation button and a regeneration button.

[1609] Step 12:

[1610] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1611] Step 13:

[1612] Terminal: When the user presses the "Regenerate" button, the system collects feedback. Furthermore, it uses an emotion engine to analyze the user's emotions. Based on these results, it sets new conditions for regenerating the posthumous name.

[1613] Step 14:

[1614] Terminal: Sends feedback data and emotion analysis results to the server.

[1615] Step 15:

[1616] Server: If a regeneration request is received, start the process again from step 5 to generate and evaluate new posthumous name candidates.

[1617] This system makes it possible to efficiently and quickly provide diverse and fair posthumous names while respecting Buddhist culture and religious background. In addition, by utilizing an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[1618] Example 2

[1619] 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."

[1620] In conventional posthumous Buddhist name generation systems, it is difficult to reflect the user's wishes and characteristics, and the generated posthumous Buddhist name may not match the user's feelings. As a result, there is a problem in that it is not possible to quickly provide a posthumous Buddhist name that satisfies the user.

[1621] 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 means for collecting information input by the user, means for preprocessing the collected information, means for converting the preprocessed information into a format understandable by the generative AI model, means for generating various candidates using the generative AI model using the converted information, means for selecting the optimal one from the generated candidates, means for presenting the selected candidate to the user, means for receiving user feedback and regenerating candidates as necessary, and means for analyzing the user's emotions using an emotion analysis engine and reflecting the results in the generation process. This makes it possible to quickly and accurately provide posthumous Buddhist names that meet the individual needs of the user.

[1622] "Means for collecting information entered by the user" refers to a device or program that receives information entered by the user, such as the deceased's personality, desired kanji characters, religious background, etc., and stores that information as data.

[1623] "Means for preprocessing collected information" refers to a device or program that executes a process to remove unnecessary data from input information and to tokenize or format necessary information.

[1624] "Means for converting preprocessed information into a format understandable by the generative AI model" refers to a device or program that converts preprocessed text data into numerical or vector data and processes it into a format that can be analyzed by the generative AI model.

[1625] "Means for generating a variety of candidates using a generative AI model using the converted information" refers to a device or program that inputs data into a generative AI model and executes the process of generating multiple candidate results (e.g., posthumous Buddhist name candidates).

[1626] "Means for selecting the best one from the generated candidates" refers to a device or program that executes the process of evaluating and selecting the one that best suits the user's needs and characteristics from the multiple generated candidates.

[1627] The "means for presenting the selected candidate to the user" refers to a device or program that executes a process of transmitting the selected candidate from the server to the terminal and displaying it in a form that can be confirmed by the user.

[1628] The "means for receiving user feedback and regenerating candidates as necessary" refers to a device or program that allows the user to input their satisfaction or dissatisfaction with the presented candidates and executes the candidate generation process again based on that feedback information.

[1629] "Means for analyzing user emotions using an emotion analysis engine and reflecting the results in the generation process" refers to a device or program that analyzes emotions based on information and feedback collected from users and uses the analysis results in the next candidate generation process.

[1630] A "deep learning model" is a machine learning model that uses a multi-layer neural network to learn features from data and perform advanced analysis and generation.

[1631] MODE FOR CARRYING OUT THE INVENTION

[1632] This paper describes a system that collects user requests and characteristics and generates various posthumous Buddhist names using a generative AI model and an emotion engine. The configuration and operation of this system are explained, along with each component, the technologies used, and specific examples.

[1633] Collecting input data

[1634] User: The user accesses the device through a browser or a dedicated application and uses an input form to enter information about the deceased person's personality, desired kanji, religious background, etc. For example, the user enters information such as "personality of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1635] Data Preprocessing

[1636] Terminal: The terminal receives the information entered by the user and performs preprocessing. Preprocessing includes removing unnecessary information, tokenizing the text data, and format conversion. For example, "Deceased's personality: Merciful" can be converted to "Personality_Merciful."

[1637] Transforming model input data

[1638] Server: The server receives the preprocessed data from the device and converts it into a format that the generative AI model can understand. Specifically, it encodes the text data into a numeric vector and maps each feature to the appropriate dimension. This conversion process may use a popular natural language processing toolkit (e.g., NLTK or spaCy).

[1639] Generation of Buddhist posthumous names

[1640] Server: The server inputs the encoded data into the generative AI model, which uses deep learning text generation technology to generate multiple posthumous Buddhist name candidates. For example, candidates such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[1641] Candidate Selection

[1642] Server: From the generated posthumous name candidates, select the one that best suits the user's requests and characteristics. The evaluation criteria are based on the AI ​​model's scoring algorithm.

[1643] Use of emotion engine

[1644] Server: The server uses an emotion engine to analyze the user's emotions based on the collected user requests and characteristic data. Based on the analysis results, a process is carried out to select the posthumous Buddhist name that best suits the user's emotions. For example, if the user's emotions indicate "feelings of peace," "Jishoin Shotoku Kenshi" may be selected.

[1645] Presentation of posthumous Buddhist name

[1646] Server: Sends the selected posthumous name to the terminal. The REST API is generally used as the communication protocol, and the selected posthumous name is often sent in JSON format.

[1647] Terminal: The terminal presents the generated posthumous name to the user. For example, it displays "Jishoin Shotoku Kenshi" on the screen.

[1648] User Feedback

[1649] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1650] Terminal: Receives user feedback and analyzes the information through a sentiment analysis engine.

[1651] Terminal: The feedback data and emotion analysis results are sent to the server, and if a regeneration process is required, the posthumous name is generated again.

[1652] Specific examples

[1653] Example 1:

[1654] 1. User: Enter the following information into the terminal: "Character of the deceased: compassionate," "Desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1655] 2. Terminal: Receives data and performs preprocessing.

[1656] 3. Terminal: Sends preprocessed data to the server.

[1657] 4. Server: Receives preprocessed data and converts it into a format suitable for the generative AI model.

[1658] 5. Server: Input data into the generative AI model and generate a large number of Buddhist posthumous names.

[1659] 6. Server: Select the best candidate from the generated ones and choose "Jishoin Shotoku Kenshi."

[1660] 7. Server: Analyzes the user's emotions using an emotion engine and selects the most appropriate posthumous name based on the analysis results.

[1661] 8. Server: The selected posthumous Buddhist name is sent to the terminal, and the terminal presents "Jishoin Shotoku Kenshi" to the user.

[1662] 9. User: Click the "Regenerate" button to request a regeneration.

[1663] 10. Terminal: Set the regeneration conditions based on the feedback and send it to the server again.

[1664] 11. Server: Generate new posthumous name candidates, re-evaluate and re-select, and send the results to the terminal.

[1665] This system makes it possible to efficiently and quickly provide a variety of posthumous Buddhist names that respect Buddhist culture and religious background. In addition, by using an emotion engine, it is possible to generate more personalized posthumous names that are in line with the user's emotions.

[1666] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1667] Step 1:

[1668] User: The user accesses the device through a browser or a dedicated application and uses an input form to enter information about the deceased person's personality, desired kanji, religious background, etc. For example, the user enters information such as "personality of the deceased: compassionate," "desired kanji: auspicious," and "Buddhist background: Jodo sect."

[1669] Input: Information entered by the user into the device

[1670] Output: Collected user information (text format)

[1671] Step 2:

[1672] Terminal: The terminal receives the input information and performs preprocessing. Preprocessing includes removing unnecessary information, tokenizing the text data, and format conversion. For example, it converts "Deceased's personality: Merciful" into "Personality_Merciful".

[1673] Input: Collected user information (text format)

[1674] Output: Preprocessed data (tokenized text format)

[1675] Step 3:

[1676] Terminal: Converts preprocessed data into JSON format or other format and sends it to the server.

[1677] Input: Preprocessed data (tokenized text format)

[1678] Output: JSON format data

[1679] Step 4:

[1680] Server: The server converts the preprocessed data received from the device into a format that the generative AI model can understand. Specifically, it encodes the text data into numeric vectors and maps each feature to the appropriate dimension. This can be achieved using a natural language processing toolkit (such as NLTK or spaCy).

[1681] Input: JSON format data

[1682] Output: Numerical vector data for generative AI models

[1683] Step 5:

[1684] Server: The generated numerical vector data is input into the generative AI model. The model uses deep learning technology to generate multiple posthumous Buddhist name candidates. For example, posthumous Buddhist names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" are generated.

[1685] Input: Numerical vector data for generative AI models

[1686] Output: Multiple posthumous name candidates

[1687] Step 6:

[1688] Server: From the generated posthumous name candidates, select the one that best suits the user's requests and characteristics. The selection is based on the AI ​​model's scoring algorithm, and the most suitable posthumous name is selected.

[1689] Input: Multiple posthumous name candidates

[1690] Output: Best posthumous name candidate (e.g. "Jishoin Shotoku Kenshi")

[1691] Step 7:

[1692] Server: Using the emotion engine, the emotion is analyzed from the user's request and characteristic data. Based on the analysis results, an additional process is performed to select the posthumous name that best suits the user's emotion.

[1693] Input: User requests and characteristic data

[1694] Output: The final posthumous name taking into account the results of sentiment analysis (e.g., "Jishoin Shotoku Kenshi")

[1695] Step 8:

[1696] Server: The selected posthumous name is sent to the terminal. The REST API is used as the communication protocol, and the posthumous name is sent in JSON format.

[1697] Input: Final posthumous name taking into account the results of sentiment analysis

[1698] Output: JSON format data to send to the terminal

[1699] Step 9:

[1700] Terminal: The terminal analyzes the received data and presents the posthumous Buddhist name to the user. For example, it displays "Jishoin Shotoku Kenshi" on the screen.

[1701] Input: JSON format posthumous name data

[1702] Output: The posthumous name presented to the user

[1703] Step 10:

[1704] User: The user checks the proposed posthumous name and presses the "Approve" button if satisfied. If not, the user presses the "Regenerate" button.

[1705] Input: User feedback (approval or regeneration)

[1706] Output: Feedback data

[1707] Step 11:

[1708] Terminal: Receives user feedback and analyzes it using the emotion engine. Based on the results, it sets the regeneration conditions and sends them to the server.

[1709] Input: Feedback data

[1710] Output: JSON format data containing the regeneration conditions

[1711] Step 12:

[1712] Server: Receives the regeneration request and re-runs the process of generating new posthumous name candidates. For example, new candidates are generated and evaluated / selected again.

[1713] Input: JSON format data containing regeneration conditions

[1714] Output: New posthumous name candidates and evaluation results

[1715] (Application example 2)

[1716] 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."

[1717] On modern online shopping sites, users are faced with a vast amount of product information, making it difficult to choose products that suit their preferences. Furthermore, many existing recommendation systems do not take user emotions into account, and often make recommendations that dissatisfy users. Therefore, there is a need for a personalized product recommendation system that takes into account not only user preferences and needs, but also emotions.

[1718] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting personal requests and characteristics input by the user, means for preprocessing the collected data, means for converting the preprocessed data into a format understandable by the generative AI model, means for generating various posthumous posthumous name candidates using the converted data with the generative AI model, means for selecting the most appropriate one from the generated posthumous posthumous name candidates, means for presenting the selected posthumous posthumous name to the user, means for receiving user feedback and regenerating the posthumous posthumous name as needed, means for collecting user preferences and needs and generating optimal product recommendations using the generative AI model, means for presenting the generated product recommendations to the user, and means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions. This enables personalized product recommendations that are tailored to the user's individual preferences and emotions.

[1719] "Means for collecting personal requests and characteristics input by users" refers to devices or software for acquiring information input by users using terminals.

[1720] "Means for preprocessing collected data" refers to devices or software that convert acquired data into a format that is easy to analyze by tokenizing it, removing unnecessary information, etc.

[1721] "Means for converting preprocessed data into a format understandable by the generative AI model" refers to a device or software for converting preprocessed data into a data format (e.g., vector format) that can be appropriately processed by the generative AI model.

[1722] "Means for generating a variety of Buddhist posthumous name candidates using a generative AI model" refers to a device or software that uses a generative AI model to create multiple Buddhist posthumous name candidates based on user information.

[1723] "Means for selecting the most suitable posthumous name from among the posthumous name candidates" refers to a device or software that selects the posthumous name that best suits the user's requests and characteristics from among the multiple posthumous name candidates that have been generated.

[1724] "Means for presenting the selected posthumous Buddhist name to the user" refers to a device or software for displaying or notifying the user of the selected posthumous Buddhist name.

[1725] "Means for receiving user feedback and regenerating posthumous names as necessary" refers to a device or software that regenerates posthumous names in response to user evaluations and requests.

[1726] "Means for collecting user preferences and needs and generating optimal product recommendations using a generative AI model" refers to a device or software that collects information such as a user's purchase history, preferences, and budget, and recommends optimal products using a generative AI model.

[1727] The "means for presenting the generated product recommendations to the user" refers to a device or software for displaying or notifying the user of the recommended products.

[1728] "Means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions" refers to a device or software that analyzes user emotion data and further evaluates or regenerates product recommendations based on the results.

[1729] The present invention is a system that collects user requests and characteristics, and generates various posthumous Buddhist names and product recommendations using a generative AI model and an emotion engine. Specific embodiments of the system are described below.

[1730] System Configuration

[1731] The system mainly includes the following elements:

[1732] 1. Device: The device that collects information entered by the user (e.g., smartphone, computer, etc.).

[1733] 2. Server: The computer system responsible for preprocessing the data, running the generative AI model, processing the emotion engine, and transmitting the results.

[1734] 3. Generative AI model: An artificial intelligence model (e.g., GPT-3) that generates a variety of posthumous name candidates and product recommendations based on user requests and characteristics.

[1735] 4. Emotion Engine: An engine (e.g., EmotionEngine) for analyzing user emotions and evaluating and regenerating generated posthumous name candidates and product recommendations.

[1736] Program processing

[1737] 1. User Information Collection

[1738] Users input information such as their personal needs, characteristics, purchase history, preferences, and budget through a terminal, using an interface.

[1739] example:

[1740] The user enters into the terminal, "Past purchase history: shoes, bags," "Preferences: casual, blue," and "Budget: 10,000 yen."

[1741] 2. Data Preprocessing

[1742] The device pre-processes the collected data, removing unnecessary information and performing processes such as tokenization.

[1743] 3. Transformation of model input data

[1744] The server converts the preprocessed data into a format that the generative AI model can understand, by converting the data into vector format.

[1745] 4. Generate posthumous names and product recommendations

[1746] The server inputs the converted data into a generative AI model to generate a variety of posthumous name candidates and product recommendations.

[1747] example:

[1748] The generative AI model outputs suggestions such as "Jishoin Shotoku Kenshi," "Shozenin Tokuju Jiei," "casual blue sneakers," and "blue casual bag."

[1749] 5. Select a posthumous name and recommended products

[1750] The server selects the best one from the generated candidates, taking into consideration the user's requests and characteristics.

[1751] 6. Use of Emotion Engines

[1752] The server uses an emotion engine to analyze the user's emotions, and then selects the most appropriate posthumous name and product recommendations. It also regenerates them as necessary.

[1753] 7. Presentation of results

[1754] The server transmits the selected posthumous name and product recommendations to the terminal and presents them to the user.

[1755] example:

[1756] Prompt: "We're looking for the perfect product for you based on your past purchases. What kind of item are you looking for?"

[1757] 8. Use of User Feedback

[1758] The user provides feedback on the presented results, which is used in the next generation process.

[1759] This allows the system to provide personalized posthumous name generation and product recommendations that are in line with each user's individual needs and feelings.

[1760] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1761] Step 1:

[1762] The user uses the device to input information such as personal requests, characteristics, purchase history, preferences, and budget through the interface. This information becomes input data. For example, a user might input "Past purchase history: shoes, bags," "Preferences: casual, blue," and "Budget: 10,000 yen." The device collects this information.

[1763] Step 2:

[1764] The device preprocesses the collected data. First, it removes unnecessary information and extracts the important information. Then it tokenizes the data and converts it into a format that is easy for the generative AI model to handle. For example, it converts "Past purchase history: shoes, bags" into "Purchase history_shoes, purchase history_bags." The output is the preprocessed data.

[1765] Step 3:

[1766] The server receives the preprocessed data and converts it into a format that the generative AI model can understand. This operation involves data processing, such as converting text data into vector format. The input is the preprocessed data, and the output is the model input data.

[1767] Step 4:

[1768] The server inputs model input data into the generative AI model and generates a variety of posthumous Buddhist name candidates and product recommendations. For example, posthumous Buddhist names such as "Jishoin Shotoku Kenshi" and "Shozenin Tokuju Jiei" and product candidates such as "casual blue sneakers" and "blue casual bag" are generated. The output is the generated posthumous Buddhist name candidates and product recommendations.

[1769] Step 5:

[1770] The server selects from the generated posthumous name candidates and product recommendations those that best fit the user's needs and characteristics. This selection process uses scoring and ranking. The input is the generated posthumous name candidates and product recommendations, and the output is the optimal posthumous name candidate and product recommendation.

[1771] Step 6:

[1772] The server uses an emotion engine to analyze the user's emotions and select or regenerate more optimal posthumous names and product recommendations based on the emotions. The recommendations are reevaluated or regenerated based on the emotion data. The input is the user's emotion data and the selected posthumous names and product recommendations, and the output is the final posthumous names and product recommendations.

[1773] Step 7:

[1774] The server sends the final selected posthumous name and product recommendations to the terminal, which then presents them to the user. For example, a prompt message such as "We are searching for the best product for you based on your past purchase history. What kind of item are you looking for?" is displayed, and the generated results are then displayed. The output is the posthumous name and product recommendations presented to the user.

[1775] Step 8:

[1776] The user provides feedback on the presented results. The feedback includes a simple evaluation such as "satisfied" or "dissatisfied," and the terminal collects this. The input is the user's feedback, and the output is the collected feedback data.

[1777] Step 9:

[1778] The terminal sends the collected feedback data to the server, which uses this data to set the conditions for regeneration. If the regeneration process is necessary, steps 4 to 7 described above are executed again. The input is the feedback data, and the output is the regenerated posthumous name or product recommendation.

[1779] 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.

[1780] 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.

[1781] 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.

[1782] 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.

[1783] 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.

[1784] 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.

[1785] 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).

[1786] 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.

[1787] 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."

[1788] 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.

[1789] 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).

[1790] 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.

[1791] 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.

[1792] 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.

[1793] 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.

[1794] 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.

[1795] 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.

[1796] 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.

[1797] 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.

[1798] 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.

[1799] 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.

[1800] The following is further disclosed regarding the above embodiment.

[1801] (Claim 1)

[1802] means for collecting personal requests and characteristics input by a user;

[1803] means for pre-processing the collected data;

[1804] A means to convert the preprocessed data into a format that can be understood by the generative AI model; and

[1805] A means for generating a variety of posthumous Buddhist name candidates using a generative AI model using the converted data;

[1806] A means for selecting the most suitable posthumous name from the generated posthumous name candidates;

[1807] means for presenting the selected posthumous Buddhist name to the user;

[1808] a means for receiving user feedback and regenerating the posthumous name as needed;

[1809] A system including:

[1810] (Claim 2)

[1811] The system of claim 1, wherein the means for generating the diverse posthumous name candidates includes a deep learning model.

[1812] (Claim 3)

[1813] 2. The system of claim 1, wherein the means for receiving user feedback includes means for using the feedback data as a condition for regeneration and re-inputting it into the generative AI model.

[1814] "Example 1"

[1815] (Claim 1)

[1816] means for collecting information input by a user;

[1817] means for pre-processing the collected data;

[1818] A means to convert the preprocessed data into a format that can be understood by the generative AI model; and

[1819] A means for generating diverse name candidates using a generative AI model using the converted data; and

[1820] a means for selecting the best name from the generated name candidates;

[1821] means for presenting the selected name to the user;

[1822] a means of receiving user feedback and regenerating names as needed;

[1823] A system including:

[1824] (Claim 2)

[1825] 10. The system of claim 1, wherein the means for generating diverse name candidates comprises a deep learning model.

[1826] (Claim 3)

[1827] 2. The system of claim 1, wherein the means for receiving user feedback includes means for using the feedback data as a condition for regeneration and re-inputting it into the generative AI model.

[1828] "Application Example 1"

[1829] (Claim 1)

[1830] means for collecting personal requests and characteristics input by a user;

[1831] means for pre-processing the collected data;

[1832] A means to convert the preprocessed data into a format that can be understood by the generative AI model; and

[1833] A means for generating a variety of posthumous Buddhist name candidates using a generative AI model using the converted data;

[1834] A means for selecting the most suitable posthumous name from the generated posthumous name candidates;

[1835] means for presenting the selected posthumous Buddhist name to the user;

[1836] A smartphone application allows users to use the posthumous name generation service on their own devices in physical stores, and

[1837] a means for receiving user feedback and regenerating the posthumous name as needed;

[1838] A system including:

[1839] (Claim 2)

[1840] The system of claim 1, wherein the means for generating the diverse posthumous name candidates includes a deep learning model.

[1841] (Claim 3)

[1842] 2. The system of claim 1, wherein the means for receiving user feedback includes means for using the feedback data as a condition for regeneration and re-inputting it into the generative AI model.

[1843] "Example 2: Combining Emotion Engines"

[1844] (Claim 1)

[1845] means for collecting information input by a user;

[1846] means for preprocessing the collected information;

[1847] A means of converting the preprocessed information into a format that can be understood by the generative AI model; and

[1848] A means for generating diverse candidates using a generative AI model using the converted information;

[1849] A means for selecting the most suitable candidate from among the generated candidates;

[1850] means for presenting the selected candidates to a user;

[1851] a means for receiving user feedback and regenerating suggestions as needed;

[1852] A means for analyzing user emotions using an emotion analysis engine and reflecting the results in the generation process;

[1853] A system including:

[1854] (Claim 2)

[1855] 10. The system of claim 1, wherein the means for generating diverse candidates comprises a deep learning model.

[1856] (Claim 3)

[1857] 2. The system of claim 1, wherein the means for receiving user feedback includes means for using the feedback data as a condition for regeneration and re-inputting it into the generative AI model.

[1858] "Application example 2 when combining emotion engines"

[1859] (Claim 1)

[1860] means for collecting personal requests and characteristics input by a user;

[1861] means for pre-processing the collected data;

[1862] A means to convert the preprocessed data into a format that can be understood by the generative AI model; and

[1863] A means for generating a variety of posthumous Buddhist name candidates using a generative AI model using the converted data;

[1864] A means for selecting the most suitable posthumous name from the generated posthumous name candidates;

[1865] means for presenting the selected posthumous Buddhist name to the user;

[1866] a means for receiving user feedback and regenerating the posthumous name as needed;

[1867] A means of collecting user preferences and needs and generating optimal product recommendations using a generative AI model;

[1868] means for presenting the generated product recommendations to a user;

[1869] A means for analyzing user emotions and evaluating or regenerating recommended products based on the emotions;

[1870] A system including:

[1871] (Claim 2)

[1872] The system of claim 1, wherein the means for generating the diverse posthumous name candidates includes a deep learning model.

[1873] (Claim 3)

[1874] 2. The system of claim 1, wherein the means for receiving user feedback includes means for using the feedback data as a condition for regeneration and re-inputting it into the generative AI model. [Explanation of symbols]

[1875] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for collecting personal requests and characteristics input by a user; means for pre-processing the collected data; A means to convert the preprocessed data into a format that can be understood by the generative AI model; and A means for generating a variety of posthumous Buddhist name candidates using a generative AI model using the converted data; A means for selecting the most suitable posthumous name from the generated posthumous name candidates; means for presenting the selected posthumous Buddhist name to the user; a means for receiving user feedback and regenerating the posthumous name as needed; A system including:

2. The system of claim 1 , wherein the means for generating the diverse posthumous name candidates includes a deep learning model.

3. 2. The system of claim 1, wherein the means for receiving user feedback includes means for utilizing the feedback data as a condition for regeneration and re-inputting it into the generative AI model.

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