system

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving information of a desired conversation time and a desired conversation place from a user and storing the information in a database; means for selecting a matching candidate with another user based on the stored information using a AI algorithm; means for notifying a matched user of detailed information of a designated meeting time and place; and means for restricting re-use when the user goes out of a specific range using GPS information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In recent years, the spread of smartphones and the impact of COVID-19 have reduced opportunities to engage in casual conversations with strangers. For people living alone, opportunities to enjoy casual, purposeless conversations with real people are becoming increasingly rare. In this situation, there is a need for a system that can create chance encounters in a short amount of time without disclosing personal information. [Means for solving the problem]

[0005] The present invention is a system that includes a means for receiving information on desired conversation time and desired conversation location from a user and storing this information in a database, a means for using an AI algorithm to select match candidates with other users based on the stored information, a means for notifying matched users of detailed information on the specified meeting time and location, a means for sounding an alarm a certain amount of time after the start of the conversation to notify the end of the conversation, and a means for using GPS information to restrict reuse if the user moves outside a specified range. Furthermore, the system also includes a means for accepting input of desired conversation content from users and storing this information, and a means for updating records to prevent re-matching between the same users after the conversation ends. This allows users to enjoy aimless conversations in a short amount of time and with peace of mind.

[0006] "User" refers to an individual or end user who uses the Service.

[0007] "Desired conversation time" refers to the specific time or time period when a user wishes to have a conversation with another user.

[0008] "Desired conversation location" refers to a specific location where a user wishes to have a conversation with another user.

[0009] "Database" means an electronic system or storage for centrally storing and managing information received from users and other data within the system.

[0010] "Matching candidates" refer to other users selected by an AI algorithm based on the desired time and location of the conversation.

[0011] "AI algorithm" refers to a calculation method or program that uses artificial intelligence technology to analyze user information and select the most suitable matching candidates.

[0012] "Meeting time" refers to the specific time designated for matched users to meet in person and begin conversation.

[0013] "Detailed information" refers to the exact time of the meeting and the location of the conversation (e.g., the name of the cafe, its address, reservation time, etc.).

[0014] An "alarm" refers to a warning signal such as a sound or vibration that notifies you that a certain amount of time has passed since the start of a conversation.

[0015] "GPS information" refers to the specific location information of the user's current location measured using satellite signals.

[0016] "Restricting reuse" refers to temporarily or permanently restricting use of the service to prevent the same users from using the service again.

[0017] "Conversation preferences" refers to specific topics or themes that a user wishes to discuss when conversing with other users.

[0018] "Records" refers to user information, conversation history, and other sensitive data stored in the system. [Brief explanation of the drawings]

[0019] [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

[0020] 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.

[0021] First, the terms used in the following description will be explained.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 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.

[0030] 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).

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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."

[0040] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. The system mainly has functions for user registration, setting desired conversation conditions, AI matching, conducting conversations, and managing reuse restrictions. The specific processing of this system is as follows.

[0041] User registration

[0042] user

[0043] The user opens the application and accesses the new account registration screen. They enter basic information such as their name, age, gender, and email address, and click the registration button.

[0044] Terminal

[0045] The information entered by the user is sent to the server.

[0046] server

[0047] The received user information is stored in a database, a unique anonymous ID is issued to the user, and this is returned to the client (user device). The user is notified that the account registration was successful.

[0048] Setting the desired time and place for the conversation

[0049] user

[0050] Turn on the "Meet Someone" mode in the application and enter the desired time to meet, desired location (station name), location (cafe or landmark), and topic you want to talk about.

[0051] Terminal

[0052] This information is collected and sent to the server.

[0053] server

[0054] The information received is stored in a database and used to match you with other users.

[0055] AI-based matching

[0056] server

[0057] Based on the user's desired conversation time and location, the information is compared with other user information in the database, and matching candidates are selected using an AI algorithm.

[0058] The top five selected match candidates are sent to the user's device.

[0059] Terminal

[0060] Present a list of recommendations to the user.

[0061] user

[0062] Select one from the displayed candidates.

[0063] Terminal

[0064] The selection information is sent to the server.

[0065] server

[0066] It matches mutually selected users and generates detailed information.

[0067] Specify time and place

[0068] server

[0069] Once a match is made, the AI ​​will notify the user of the meeting time and location details (e.g., cafe name, address, reservation time) specified by the AI.

[0070] Terminal

[0071] Receive notifications and display them to users, and also display a confirmation button to users for meeting details.

[0072] user

[0073] Check the detailed information and press the confirm button.

[0074] Conversation and time management

[0075] Terminal

[0076] When a user presses the start button to start a conversation at the actual meeting place, a timer will start, and an alarm will sound 20 minutes after the conversation has started to notify the end.

[0077] After that, an alarm will sound every 10 minutes to prompt the user to end the conversation, and when the total time reaches 60 minutes, an alarm will sound to force the end of the conversation.

[0078] server

[0079] Confirm that the conversation has ended and record the end time.

[0080] Managing Reuse Limits

[0081] server

[0082] After the conversation ends, the system retrieves GPS information and checks whether the person is within a specified time frame to see if they are within a certain distance. If they are, future use of the service will be temporarily restricted.

[0083] Update the database to prevent the same users from being matched again.

[0084] Terminal

[0085] Display a non-reusable notice to the user.

[0086] Specific examples

[0087] For example, if user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 18:00," the server will use AI to select the best match based on this. If user A selects user B and user B selects user A, the server will notify them of the details: "Meet at Starbucks in Shibuya at 18:00." An alarm will sound 20 minutes after the conversation begins, and the conversation will be forced to end after 60 minutes. As for reuse restrictions, after the conversation ends, GPS information is checked, and if the two users are still in close proximity, the next use of the service will be suspended.

[0088] In this way, the present invention allows users to enjoy short, safe, and purposeless conversations.

[0089] The processing flow will be explained below.

[0090] Step 1:

[0091] User: Opens the application and accesses the screen for registering a new account. Enters name, age, gender, and email address and clicks the Register button.

[0092] Step 2:

[0093] Terminal: Sends the information entered by the user to the server.

[0094] Step 3:

[0095] Server: Stores the received user information in a database. Generates a unique anonymous ID and sends this ID back to the user's device.

[0096] Step 4:

[0097] User: Check the notification that account registration is complete and turn on "Meet Someone" mode.

[0098] Step 5:

[0099] User: Enter the desired time for the conversation, the desired location (station name), the location (cafe or landmark), and the topic you want to talk about, then press the Settings button.

[0100] Step 6:

[0101] Terminal: Sends the configured information to the server.

[0102] Step 7:

[0103] Server: Stores the received information in a database and prepares it for matching with other users.

[0104] Step 8:

[0105] Server: Based on the user's desired time and location for the conversation, the AI ​​algorithm searches for matching users in the database.

[0106] Step 9:

[0107] Server: Selects the top five match candidates and sends the list to the user's device.

[0108] Step 10:

[0109] Device: Show the user a list of recommendations.

[0110] Step 11:

[0111] User: Select one of the displayed candidates and press the select button.

[0112] Step 12:

[0113] Device: Sends the user's selection information to the server.

[0114] Step 13:

[0115] Server: If both users are selected, the match is established and both users are notified.

[0116] Step 14:

[0117] Server: Sends the specified meeting time and location details (e.g., cafe name, address, reservation time) to matched users.

[0118] Step 15:

[0119] Device: Receives notification and displays meeting details to the user, along with a button to confirm the details.

[0120] Step 16:

[0121] User: Check the details and press the confirmation button.

[0122] Step 17:

[0123] User: Arrive at the designated meeting place and time and press the start button within the app.

[0124] Step 18:

[0125] Device: When the conversation start button is pressed, a timer starts. An alarm sounds after 20 minutes to notify the end of the conversation.

[0126] Step 19:

[0127] Terminal: The alarm will sound every 10 minutes thereafter, and after a total of 60 minutes the forced shutdown alarm will sound.

[0128] Step 20:

[0129] Server: After the conversation ends, get GPS information to see if the user is still nearby. If so, update the database to enforce reuse restrictions.

[0130] Step 21:

[0131] Server: Stores a record of reuse restrictions in a database to prevent the same user from using the service again.

[0132] Step 22:

[0133] Device: Display a non-reusable notification to the user.

[0134] Through the above process, the system of the present invention allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information.

[0135] Example 1

[0136] 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."

[0137] In conventional chat systems, it was difficult for users to safely enjoy short conversations with other users while maintaining their anonymity. Furthermore, management of desired conversation conditions and reuse restrictions was insufficient, and safety and convenience for users were not adequately ensured. This could result in a decrease in user satisfaction and a decrease in the frequency of system use.

[0138] 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.

[0139] In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this information in a database, means for selecting match candidates with other users based on the stored information using an AI algorithm, means for notifying matched users of detailed information on the specified meeting time and location, means for sounding an alarm a certain time after the start of the conversation to notify them of the end of the conversation, means for using GPS information to restrict reuse when the user moves outside a certain range, means for registering the user's basic information and issuing a unique anonymous ID, means for sending a notification to the user after registration, means for validating the desired conversation conditions and displaying an error if they are invalid, means for sending information on match candidates selected by the user to the server, means for starting a timer when the user presses the start conversation button, means for sounding an alarm at certain intervals to prompt the user to end the conversation, and means for notifying the server of the end of the conversation and recording the end time.This enables users to enjoy conversations with other users safely in a short amount of time while maintaining their anonymity.

[0140] "User" refers to a user who accesses the system and provides information on the desired time and location for conversation.

[0141] "Desired conversation time" is information indicating the conversation start time desired by the user.

[0142] "Preference place for conversation" is information that indicates details of the place where the user wishes to have a conversation (e.g., station name, cafe, landmark).

[0143] The "database" is an information management system for storing various user information, including desired conversation time and desired conversation location.

[0144] An "AI algorithm" is a program that selects matching candidates based on stored information and uses machine learning technology.

[0145] "Matching candidates" are a group of other users selected based on the user's desired conversation time and desired conversation location information.

[0146] "Meeting time" is the time when the matched users plan to actually meet.

[0147] "Detailed information" refers to information including specific details of the meeting time and location (e.g., the name of the cafe, address, and reservation time).

[0148] An "alarm" is an audio or visual notification that notifies the user when a conversation begins or ends.

[0149] "GPS information" is geographical information used to identify a user's current location.

[0150] "Restrict reuse" is a function that temporarily restricts a user's next use of the service if they go outside a specific range.

[0151] A "unique anonymous ID" is a unique identifier issued at the time of user registration that is different from other users.

[0152] "Validation" is the process of checking whether the desired conversation conditions entered by the user are valid and displaying an error if they are invalid.

[0153] The "timer" is a function that measures the time from the start to the end of a conversation and sounds an alarm after a certain amount of time has passed.

[0154] "End time" is information indicating the time when the conversation ended.

[0155] MODE FOR CARRYING OUT THE INVENTION

[0156] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. The system mainly has functions for user registration, setting desired conversation conditions, matching by AI, conducting conversations, and managing reuse restrictions.

[0157] User registration

[0158] User

[0159] The user opens the application and accesses the new account registration screen. They enter basic information such as their name, age, gender, and email address, and click the registration button.

[0160] Terminal

[0161] The input information is converted into JSON format and sent to the server using the HTTPS protocol.

[0162] server

[0163] The received user information is validated and stored in an RDBMS such as MySQL, and a unique anonymous ID is issued for the new user and returned to the client, where it is temporarily stored in the user object.

[0164] Terminal

[0165] A response is received from the server and a popup notification is displayed to the user indicating that registration was successful.

[0166] Setting the desired time and place for the conversation

[0167] User

[0168] Turn on the "Meet Someone" mode in the app. Enter the desired time, location (station name), cafe or landmark, and topic of conversation in the fields that appear on the screen.

[0169] Terminal

[0170] The entered information is sent to the server in JSON format. At the same time, a validation function is implemented to display an error if the conditions are invalid.

[0171] server

[0172] The desired conversation conditions received are saved in a database and used to match with other users.

[0173] AI-based matching

[0174] server

[0175] The system extracts the user's desired conversation conditions from the database, and uses an AI algorithm (e.g., TensorFlow) to select other users who can be matched. It then lists the top five candidates.

[0176] server

[0177] The top five selected matching candidates are sent to the user's device in JSON format.

[0178] Terminal

[0179] The list of received matching candidates is displayed on the screen.

[0180] User

[0181] Select one of the candidates displayed and click the "Select" button.

[0182] Terminal

[0183] The selected information is sent to the server.

[0184] server

[0185] The system confirms the match between the mutually selected users and generates detailed information (meeting time and location details).

[0186] Specify time and place

[0187] server

[0188] For users who have been matched, the AI ​​creates information on the meeting time and location details (e.g., cafe name, address, reservation time) specified by the user.

[0189] server

[0190] The created meeting details information is notified to the user terminal.

[0191] Terminal

[0192] The received meeting details are displayed to the user, and a confirmation button is displayed on the screen.

[0193] User

[0194] Check the displayed details and press the "Confirm" button.

[0195] Conversation and time management

[0196] User

[0197] When you want to actually start the conversation at the meeting place, press the "Start" button.

[0198] Terminal

[0199] When the "Start" button is pressed, an internal timer will start, and an alarm will sound 20 minutes after the conversation begins to signal the end.

[0200] Terminal

[0201] After that, an alarm will sound every 10 minutes to prompt the conversation to end. When the total time reaches 60 minutes, an alarm will sound to force the conversation to end.

[0202] server

[0203] Once the conversation has ended, the end time is recorded in the database.

[0204] Managing Reuse Limits

[0205] server

[0206] After the conversation ends, the system retrieves the user's GPS information and checks whether they are within a specified time frame.

[0207] server

[0208] If users are in close proximity, the service will temporarily restrict future use of the service, and the database will be updated to prevent the same users from being matched again.

[0209] Terminal

[0210] Display a non-reusable notice to the user.

[0211] Specific examples

[0212] For example, suppose that user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 18:00." The server uses AI based on this to select the best match candidate, and if user A selects user B and user B selects user A, the server notifies both users with the details "Meet at a cafe in Shibuya at 18:00." A conversation begins, and an alarm sounds 20 minutes later, and the conversation is forced to end after 60 minutes. As a reuse restriction, GPS information is checked after the conversation ends, and if the two users are still within close proximity, the next use of the service is suspended.

[0213] Prompt Sentence Examples

[0214] "Suggest casual conversation topics, such as hobbies, a recent book you read, or a favorite movie."

[0215] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0216] Step 1:

[0217] New user registration

[0218] A user opens the application and accesses the new registration screen. They enter basic information such as name, age, gender, and email address, and click the Register button. At this time, the input information, name, age, gender, and email address, are obtained.

[0219] The terminal converts this information into JSON format and sends it to the server using the HTTPS protocol.

[0220] The server verifies the received user information and stores it in an RDBMS such as MySQL. At the same time, it issues a unique anonymous ID to the new user and returns it to the terminal. At this time, the input information is the user's basic information and the output is the generated unique anonymous ID.

[0221] The device receives the response from the server and displays a pop-up notification to the user that the registration was successful.

[0222] Step 2:

[0223] Setting the desired time and place for the conversation

[0224] The user turns on the "Meet Someone" mode in the application and inputs the desired time to talk, the desired location (station name), the location (cafe or landmark), and the topic they want to talk about. The input information is the desired time to talk, the desired location, the location, and the topic they want to talk about.

[0225] The terminal sends this information to the server in JSON format. It also validates the input data and displays an error if it is invalid.

[0226] The server stores the received conversational requirements in a database. The input information is the conversational requirements, and the output is the records stored in the database.

[0227] Step 3:

[0228] AI-based matching

[0229] The server retrieves the user's desired conversation conditions from the database and selects other users who can be matched using an AI algorithm (e.g., TensorFlow). Here, the input information is the user's desired conversation conditions, and the output is a list of matching candidates.

[0230] The server sends the top five selected match candidates to the user's terminal in JSON format. The input information is a list of match candidates, and the output is JSON format data.

[0231] The terminal displays the received list of matching candidates on the screen. The output is a screen display of the candidate list.

[0232] The user selects one of the displayed candidates and clicks the "Select" button. The input information is the selected candidate ID.

[0233] The terminal sends the selected information to the server. The input is the selected candidate ID and the output is sending execution.

[0234] The server determines the match between mutually selected users and generates details (meeting time and location details). The input is the selection information and the output is the generated details.

[0235] Step 4:

[0236] Specify time and place

[0237] For users who have been matched, the server creates detailed information about the meeting time and location specified by the AI ​​(e.g., cafe name, address, reservation time) and notifies the user in JSON format. The input information is the confirmed match information, and the output is a notification of the detailed information.

[0238] The terminal displays the received meeting details to the user and displays a confirmation button on the screen. The input is the detailed information, and the output is the display of the detailed information and the installation of the confirmation button.

[0239] The user checks the displayed detailed information and presses the "Confirm" button. The input information is the detailed information and the output is pressing the confirm button.

[0240] Step 5:

[0241] Conversation and time management

[0242] When a user actually starts a conversation at a meeting place, he or she presses a "Start" button. The input information is the user's operation and the output is the start signal.

[0243] When the "Start" button is pressed, the terminal starts an internal timer. 20 minutes after the conversation starts, an alarm sounds to notify the end of the conversation. The input information is the start signal, and the output is the alarm setting.

[0244] The device will then sound an alarm every 10 minutes to prompt the user to end the conversation. When the total time reaches 60 minutes, the device will automatically sound an end alarm. The input information is the elapsed time, and the output is an alarm notification.

[0245] When the server confirms the end of the conversation, it records the end time in the database. The input information is the end signal, and the output is a record of the end time.

[0246] Step 6:

[0247] Managing Reuse Limits

[0248] After the conversation ends, the server obtains the user's GPS information and checks whether they are in close proximity within the specified time. The input information is GPS information, and the output is confirmation of close proximity.

[0249] If the server is in close proximity, it will temporarily restrict future use of the service. It also updates the database to prevent the same users from matching again. The input information is the confirmation result, and the output is the setting of the reuse limit and the database update.

[0250] The device will display a no-reuse notification to the user. The input is the reuse restriction setting and the output is the notification display.

[0251] (Application example 1)

[0252] 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."

[0253] Current online communication platforms have problems, such as the need for users to disclose personal information and the difficulty of maintaining anonymous, short-term conversations. Furthermore, while new forms of communication are needed in virtual spaces, there is a lack of systems that can meet these needs. Furthermore, providing topics based on the content of conversations and improving matching accuracy are also issues. A new system is needed to solve these problems.

[0254] 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.

[0255] In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this in a database, means for selecting match candidates with other users based on the stored information using an AI algorithm, means for notifying matched users of detailed information on the specified meeting time and location, means for sounding an alarm a certain amount of time after the start of the conversation to notify the end of the conversation, means for using GPS information to restrict reuse if the user moves outside a specific range, means for anonymously conversing with other users in a virtual space, means for setting the desired conversation time and virtual store and performing matching using AI, and means for using a generative AI model to provide prompts based on the content of the conversation. This allows users to safely and efficiently enjoy short-term conversations with other users in a virtual space without disclosing their personal information.

[0256] A "user" is an individual who uses the system to set desired conversation conditions and engage in conversations with other users.

[0257] "Desired conversation time" is information indicating the time a user desires to have a conversation with another user.

[0258] The "desired conversation location" is information indicating a physical or virtual location where a user desires to have a conversation with another user.

[0259] "Database" means an information management device within the system for storing users' desired time and location for conversation, and other related information.

[0260] "Matching candidates" is a list of other users who meet the user's desired conversation criteria.

[0261] The "AI algorithm" is an artificial intelligence program that selects the best matching candidates based on the user's desired conversation conditions.

[0262] The "specified meeting time and location" refers to the specific start time and location of the conversation that will be notified to the user after AI matching.

[0263] An "alarm" is a warning sound or notification that notifies you that a certain amount of time has passed since the start of a conversation.

[0264] "GPS Information" means User's location information obtained by the Global Positioning System.

[0265] "Virtual space" is a virtual environment on the Internet constructed using digital technology.

[0266] "Anonymous conversation" means that a user can have a conversation with another user without disclosing their personal information.

[0267] A "virtual store" is a virtual store or location that exists in a virtual space.

[0268] A "generative AI model" is an artificial intelligence program that automatically generates conversation content and themes based on specific input.

[0269] A "prompt" is text that a generative AI model provides to a user indicating the topic or theme of the conversation.

[0270] The present invention provides a system that allows users to enjoy safe and anonymous conversations with other users in a short time without disclosing personal information. A system for implementing the present invention will be described in detail below.

[0271] User Registration

[0272] Users register an account by entering basic information such as their name, age, and email address. The entered information is sent to the server via the device, which stores it in a database and issues the user a unique anonymous ID. This anonymous ID can be used to log in from the next time onwards.

[0273] Setting conversation preferences

[0274] Within the application, users input the desired time for the conversation, the desired location (physical or virtual), and the topic they wish to discuss. This information is then sent from the device to the server and stored in a database.

[0275] AI-based matching

[0276] The server uses an AI algorithm to select suitable matchmaking candidates based on the user's desired time and location for the conversation, and then uses the stored information to select the five most suitable matchmaking candidates and notify the user's device.

[0277] Conducting a conversation

[0278] Once a user selects one of the match candidates, the selection information is sent back to the server. The server then matches the selected users and notifies them of the specified conversation time and location. The users then begin a conversation anonymously in a virtual store in a virtual space.

[0279] Conversation alarm function

[0280] The device will sound an alarm 20 minutes after the conversation starts to notify you that the conversation has ended, and will continue to sound an alarm every 10 minutes thereafter, for a total of 60 minutes before the conversation is forced to end.

[0281] Reuse restrictions using GPS information

[0282] After the conversation ends, the server retrieves the user's GPS information to check whether they have moved outside a certain range, limiting re-matching between the same users.

[0283] Leveraging generative AI models

[0284] Using a generative AI model, the system provides prompts based on the user's conversation, which smooth the flow of the conversation and create an environment where the user feels comfortable speaking.

[0285] Specific examples

[0286] For example, if User A sets a date to "talk about technology at a virtual cafe at 18:00" and User B sets the same date, the AI ​​algorithm will match the two and notify them of the "conversation at a virtual cafe at 18:00." When the conversation begins, the generative AI model will provide a prompt such as "What do you think about the latest technology trends?", encouraging a natural conversation start.

[0287] Prompt Sentence Examples

[0288] What do you think about the latest technology trends?

[0289] What is your favorite gadget?

[0290] Have you read any interesting articles or news recently?

[0291] In this way, the system of the present invention allows users to safely and efficiently enjoy short-term conversations with other users without disclosing personal information.

[0292] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0293] Step 1:

[0294] The user accesses the new account registration screen and enters basic information such as name, age, and email address. This is used as input data and the device sends the entered information to the server. The server stores the received user information in a database, generates a unique anonymous ID, and returns it to the client (user device). The user receives the anonymous ID and uses it for future logins.

[0295] Step 2:

[0296] The user inputs the desired time for the conversation, the desired location (physical location or virtual store), and the topic they wish to discuss within the application. This information is then sent by the device to the server, which then stores the received information in a database.

[0297] Step 3:

[0298] The server selects potential matches with other users based on the user's desired conversation time, location, and topic information stored in the database. This step uses an AI algorithm. The server then sends the top five selected match candidates to the user's device as output data.

[0299] Step 4:

[0300] The user selects one person from a list of match candidates displayed on the device. This selection information is sent as input data to the server, which then matches the mutually selected users and generates detailed information.

[0301] Step 5:

[0302] The server notifies the matched user of the specified meeting time and location details. The device receives this notification as output data and displays it to the user. The user checks the meeting details and presses the confirmation button.

[0303] Step 6:

[0304] When a conversation begins, the user presses the "Start" button on the device. Based on this input data, the device starts a timer and sounds an alarm after a certain time (20 minutes). This notifies the user that the conversation has ended. The alarm continues to sound every 10 minutes thereafter, and after a total of 60 minutes has elapsed, the device will forcibly output an end alarm.

[0305] Step 7:

[0306] After the conversation ends, the server receives GPS information from the device to determine if it has left a certain range. This updates the database to prevent the same users from being matched again. This updated data acts as a reuse restriction for future matches.

[0307] Step 8:

[0308] Using the generative AI model, the server generates prompts based on the conversation content and sends them to the device. The device then displays the prompts to the user, helping to facilitate smooth conversation. For example, a prompt might be, "What do you think about the latest technology trends?"

[0309] 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.

[0310] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and performs matching and feedback based on those emotions. The specific processing of this system is as follows.

[0311] User registration

[0312] user

[0313] Open the application and access the screen for registering a new account. Enter your name, age, gender, and email address, then click the Register button.

[0314] Terminal

[0315] The information entered by the user is sent to the server.

[0316] server

[0317] The received user information is stored in a database, a unique anonymous ID is generated, and this is sent back to the user's device, and the user is notified that the account registration was successful.

[0318] Setting the desired time and place for the conversation

[0319] user

[0320] Turn on the "Meet Someone" mode in the application and enter the desired time for the conversation, the desired location (station name), the location of the conversation (cafe or landmark), and the topic you want to talk about.

[0321] Terminal

[0322] This information is collected and sent to the server.

[0323] server

[0324] The information received is stored in a database and used to match you with other users.

[0325] AI-based matching

[0326] server

[0327] Based on the user's desired conversation time and location, the system compares this with other user information in the database and uses an AI algorithm to search for matching candidates.

[0328] The top five selected match candidates are sent to the user's device.

[0329] Terminal

[0330] Present a list of recommended candidates to the user.

[0331] user

[0332] Select one of the displayed candidates and press the select button.

[0333] Terminal

[0334] The selection information is sent to the server.

[0335] server

[0336] It matches mutually selected users and generates detailed information.

[0337] Specify time and place

[0338] server

[0339] Once a match is made, the AI ​​sends the user details of the meeting time and location (e.g., the name of the cafe, address, and reservation time) specified by the AI.

[0340] Terminal

[0341] Receive notifications and display meeting details to users, along with a button to confirm details.

[0342] user

[0343] Check the detailed information and press the confirm button.

[0344] Conversation and time management

[0345] Terminal

[0346] When a user presses the start button at the actual meeting place to start a conversation, the emotion engine is activated at the same time, and analyzes the user's emotions in real time based on their facial expressions and voice.

[0347] Emotion Engine

[0348] Collect and analyze the user's emotional data during the conversation to identify positive or negative emotional states.

[0349] Terminal

[0350] An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is over. After that, the alarm will sound every 10 minutes, and when the total time reaches 60 minutes, the alarm will sound to end the conversation.

[0351] Emotional data feedback and storage

[0352] Emotion Engine

[0353] It provides real-time feedback to the conversation partner based on the user's perceived emotions, for example, displaying encouraging messages if the emotional state is negative.

[0354] server

[0355] The analysis results from the emotion engine are stored in a database and used to improve the matching algorithm in the future.

[0356] Managing Reuse Limits

[0357] server

[0358] After the conversation ends, we retrieve GPS information to see if the user is still nearby, and if so, update our database to enforce reuse restrictions.

[0359] Update records to prevent the same users from matching again.

[0360] Terminal

[0361] Display a non-reusable notice to the user.

[0362] Specific examples

[0363] For example, if user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 6:00 PM," the server will use AI to select the best match based on this. If user A selects user B and user B selects user A, the server will notify them of the details of "Meet at a cafe in Shibuya at 6:00 PM." Once the conversation begins, the emotion engine analyzes the emotions of both parties in real time and provides feedback as needed. An alarm will sound after 20 minutes, and the system will be forced to end after 60 minutes. The server will check GPS information and restrict reuse if the users are still within close proximity.

[0364] In this way, the present invention not only allows users to enjoy short, safe, and purposeless conversations, but also improves the quality of the conversations through the emotion engine.

[0365] The processing flow will be explained below.

[0366] Step 1:

[0367] User: Opens the application and accesses the screen for registering a new account. Enters name, age, gender, and email address and clicks the Register button.

[0368] Step 2:

[0369] Terminal: Sends the information entered by the user to the server.

[0370] Step 3:

[0371] Server: Stores the received user information in a database, generates a unique anonymous ID, and sends it back to the user's device. Notifies the user that the account registration was successful.

[0372] Step 4:

[0373] User: Check the notification that account registration is complete and turn on "Meet Someone" mode.

[0374] Step 5:

[0375] User: Enter the desired time for the conversation, the desired location (station name), the location (cafe or landmark), and the topic you want to talk about, then press the Settings button.

[0376] Step 6:

[0377] Terminal: Sends the configured information to the server.

[0378] Step 7:

[0379] Server: Stores the received information in a database and prepares it for matching with other users.

[0380] Step 8:

[0381] Server: Based on the user's desired time and location for the conversation, the AI ​​algorithm searches for matching users in the database.

[0382] Step 9:

[0383] Server: Selects the top five match candidates and sends the list to the user's device.

[0384] Step 10:

[0385] Device: Show the user a list of recommendations.

[0386] Step 11:

[0387] User: Select one of the displayed candidates and press the select button.

[0388] Step 12:

[0389] Device: Sends the user's selection information to the server.

[0390] Step 13:

[0391] Server: Matches mutually selected users and generates detailed information.

[0392] Step 14:

[0393] Server: Sends the AI-specified meeting time and location details (e.g., cafe name, address, reservation time) to the matched user.

[0394] Step 15:

[0395] Device: Receives notification and displays meeting details to the user, along with a button to confirm the details.

[0396] Step 16:

[0397] User: Check the details and press the confirmation button.

[0398] Step 17:

[0399] User: Arrive at the designated meeting place and time and press the start button within the app.

[0400] Step 18:

[0401] Device: When the conversation start button is pressed, a timer starts. The emotion engine also starts, analyzing the user's emotions in real time based on their facial expressions and voice.

[0402] Step 19:

[0403] Emotion engine: Collects and analyzes the user's emotional data during conversation, identifies positive or negative emotional states, and sends the analysis results to the user's device.

[0404] Step 20:

[0405] Device: Displays the emotional state of the person during the conversation in real time and provides feedback as needed, for example, an encouraging message if the emotional state is negative.

[0406] Step 21:

[0407] Device: An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is ending. An alarm will sound every 10 minutes thereafter, and when the total time reaches 60 minutes, an alarm will sound to terminate the conversation.

[0408] Step 22:

[0409] Server: After the conversation ends, the analysis results from the emotion engine are stored in a database and used to improve the matching algorithm in the future.

[0410] Step 23:

[0411] Server: Gets GPS information and checks if the user is still nearby. If so, updates the database to enforce reuse restrictions. Updates records to prevent the same users from being matched again.

[0412] Step 24:

[0413] Device: Display a non-reusable notification to the user.

[0414] Through the above process, the system of the present invention allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, the use of an emotion engine improves the quality of the conversation, providing a better matching experience.

[0415] Example 2

[0416] 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."

[0417] Conventional online conversation matching systems have difficulty in ensuring the quality and safety of conversations, and do not adequately guarantee anonymity. Furthermore, they lack a system that can grasp users' emotional state in real time and provide appropriate feedback. This has led to problems such as the actual conversation not progressing smoothly and the inappropriate management of reuse between users.

[0418] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0419] In this invention, the server includes means for receiving information from the user regarding the desired conversation time, desired conversation location, and desired conversation content, and storing this information in data storage, means for selecting match candidates with other users using a generative AI algorithm based on the stored information, and means for analyzing the user's emotional state in real time using an emotion engine. This makes it possible to provide a safe and high-quality conversation experience, and also to provide appropriate feedback based on the user's emotional state while maintaining anonymity.

[0420] "User" means an individual who registers and operates the application for the purpose of using the system to find conversation partners.

[0421] "Server" refers to the central computer system that receives information sent by users, stores it in data storage, and processes it using AI algorithms and emotion engines.

[0422] "Terminal" means a device operated by a user that has hardware and software for inputting and receiving information.

[0423] "Emotion engine" refers to the algorithms and software that analyze a user's facial expressions and voice to analyze and identify their emotional state in real time.

[0424] "Data storage" refers to a storage device installed within a server for storing user information, conversation preferences, emotional data, etc.

[0425] "AI algorithm" refers to a calculation method or technique for automatically generating matching candidates with other users based on the user's desired conversation information.

[0426] "Alarm" refers to a function that emits a sound or message to notify the user that a certain amount of time has passed in the conversation.

[0427] "GPS Information" refers to location information obtained using a satellite positioning system to identify a user's current location.

[0428] "Anonymous ID" refers to a unique identification number generated to protect the user's personal information.

[0429] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and performs matching and feedback based on those emotions.

[0430] Specifically, the process begins with a user operating an application to register a new account. The user opens the application and enters required information such as name, age, gender, and email address. The device sends this information to the server, which then stores the received user information in data storage, generates a unique anonymous ID, and sends it back to the user's device. This completes the user's account registration.

[0431] Next, the user turns on the "Meet Someone" mode in the application and inputs the desired time to meet, the desired location (e.g., station name), the location (e.g., cafe or landmark), and the topic they want to discuss. The device collects this information and sends it to the server, which then stores it in its data storage. This information can then be used for future matches.

[0432] The server compares the user's desired conversation time, location, and topic information with other user information stored in its data storage. An algorithm based on a generative AI model is used here to search for matching candidates. As a result of the comparison, the top five matching candidates are selected and sent to the user's device as a recommended candidate list. The user reviews this list and selects the candidate they most want to talk to. The device then sends the user's selection information to the server, which then matches the mutually selected users. Once a match is made, the user is notified of details of the specified meeting time and location.

[0433] To start a conversation, the user presses the start button on the device. At the same time, the emotion engine starts up and analyzes the user's facial expressions and voice in real time. The emotion engine collects and analyzes the user's emotional data and identifies whether the emotional state is good or problematic. After a certain amount of time has passed since the start of the conversation, the device sounds an alarm to notify the end of the conversation, and after the conversation ends, the analysis results by the emotion engine are saved in data storage. This will be used to improve the matching algorithm in the future.

[0434] Another important feature is the reuse restriction. After a conversation ends, the server retrieves GPS information to check whether the users are still nearby. Based on this, the server updates the records to prevent the same users from matching again.

[0435] Specific examples

[0436] For example, if User A and User B turn on the "Meet Someone" mode and each select "Tea at a cafe at the station at 6:00 PM," the server will use this information to select the best match using a generative AI model. If User A selects User B and User B selects User A, the server will notify them of the details of "Meet at a cafe at the station at 6:00 PM." Once the conversation begins, the emotion engine analyzes the emotions of both parties in real time and provides feedback as needed. An alarm will sound after 20 minutes, and the system will be forced to end after 60 minutes. The server will check GPS information and restrict reuse if the users are still within close proximity.

[0437] Prompt Sentence Examples

[0438] Use the following natural language processing task to generate a system flow that allows users to enjoy a quick and safe conversation. Please create a description based on the following steps: user registration, setting the desired conversation time and location, matching with AI, specifying the time and location, conducting the conversation and managing the time limit, feedback and storage of emotional data, and managing reuse restrictions. Please also include specific use cases.

[0439] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0440] Step 1: Registering a user

[0441] User: Open the application and click the "Register a new account" button. Enter your name, age, gender, and email address, then click the Register button.

[0442] Input: Name, age, gender, email address

[0443] Output: Account registration request

[0444] Terminal: Sends the entered user information to the server.

[0445] Input: User input information

[0446] Output: Request sent to server

[0447] Server: Stores the received user information in data storage, generates a unique anonymous ID, and sends it back to the user's device, notifying them that the account registration was successful.

[0448] Input: User information

[0449] Data processing: storing user information in a database, generating a unique anonymous ID

[0450] Output: Anonymous ID, account registration success notification

[0451] Step 2: Set the desired time and location for the conversation

[0452] User: Turn on the "Meet Someone" mode within the application and enter the desired time, location, and topic of conversation.

[0453] Input: desired time, desired location, desired topic

[0454] Output: Conversation preference information

[0455] Terminal: Sends the entered conversation preference information to the server.

[0456] Input: User settings information

[0457] Output: Request sent to server

[0458] Server: Stores the received information in data storage.

[0459] Input: desired time, desired location, desired topic

[0460] Data processing: Save conversation preference information in a database

[0461] Output: Information saving completion notification

[0462] Step 3: AI matching

[0463] Server: Based on the user's desired conversation time, location, and topic information, the server matches the information of other users in the data storage. It uses a generative AI algorithm to search for matching candidates. It then selects the top five matching candidates.

[0464] Input: desired time, desired location, desired topic

[0465] Data calculation: candidate search, matching by generative AI algorithm

[0466] Output: A list of possible matches

[0467] On the device: The recommendation list sent from the server is displayed to the user.

[0468] Input: Match candidate list

[0469] Output: Display of recommendation candidate list

[0470] User: Select a name from the list of candidates and press the select button.

[0471] Input: Selected candidate

[0472] Output: Candidate selection information

[0473] Terminal: Sends the selection information to the server.

[0474] Input: Selection information

[0475] Output: Send to server

[0476] Server: Matches mutually selected users, generates detailed information, and notifies users.

[0477] Input: Selection information of both users

[0478] Data processing: Matching and detailed information generation

[0479] Output: Meeting details notification

[0480] Step 4: Specify the time and location

[0481] Server: Sends the specified meeting time and location details (e.g., cafe name, address, reservation time) to matched users.

[0482] Input: Meeting time, location, details

[0483] Output: Meeting details notification

[0484] Device: Receives notifications and displays meeting details to the user, along with a confirmation button for more information.

[0485] Input: Meeting details

[0486] Output: Display detailed information, display confirmation button

[0487] User: Check the details and press the confirmation button.

[0488] Input: Confirm, press button

[0489] Output: Confirmation information

[0490] Step 5: Conducting the conversation and managing the time

[0491] User: Presses the start button in the application when starting a conversation at the actual meeting location.

[0492] Input: Press the Start button

[0493] Output: Conversation start notification

[0494] Device: Upon launch, the emotion engine is activated and analyzes the user's facial expressions and voice in real time.

[0495] Input: Conversation start notification

[0496] Data calculation: Emotion engine activation, real-time analysis

[0497] Output: Emotion data

[0498] Emotion Engine: Collects and analyzes the user's emotional data during a conversation to identify positive or negative emotional states.

[0499] Input: User's facial expressions, voice

[0500] Data Computing: Sentiment Data Analysis

[0501] Output: Analysis results

[0502] Device: An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is over. The alarm will sound every 10 minutes thereafter, and when the total time reaches 60 minutes, a forced termination alarm will sound.

[0503] Input: Timer

[0504] Output: Alarm, termination notification

[0505] Step 6: Feedback and storage of emotion data

[0506] Emotion engine: Provides real-time feedback to the conversation partner based on the user's perceived emotions, for example, displaying encouraging messages if the emotional state is negative.

[0507] Input: Analysis results

[0508] Output: Feedback message

[0509] Server: The analysis results of the emotion engine are stored in data storage and used to improve the matching algorithm in the future.

[0510] Input: Analysis results

[0511] Data processing: data storage, algorithm improvement

[0512] Output: Save completion notification

[0513] Step 7: Manage Reuse Limits

[0514] Server: After the conversation ends, get GPS information to see if the user is still nearby. If so, update data storage to enforce reuse restrictions. Update records to prevent the same users from matching again.

[0515] Input: GPS information

[0516] Data calculation: distance determination, data storage update

[0517] Output: Reuse restriction applied notification

[0518] Device: Display a non-reusable notification to the user.

[0519] Input: Reuse Restriction Applicable Notice

[0520] Output: Display of non-reusable notification

[0521] (Application example 2)

[0522] 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."

[0523] In today's stores, it is difficult to quickly assign the right staff member to a customer, especially for new or first-time customers. There is also a lack of support to ensure smooth interactions between customers and staff. This results in lower store efficiency and lower customer satisfaction. Furthermore, there is no system in place to analyze customer sentiment in real time and provide appropriate feedback, meaning the quality of conversations cannot be guaranteed.

[0524] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this information in a database, means for selecting matching candidates with other users using an AI algorithm based on the stored information, means for notifying users who have been matched of detailed information on the specified meeting time and location, and means for analyzing the user's emotions in real time during the conversation using an emotion recognition engine and providing feedback based on the analysis. This enables customers and staff to be matched quickly and appropriately, and furthermore, analyzing emotions in real time and providing feedback can improve the quality of service.

[0525] "User" refers to an individual who uses the system to provide information on the desired time and location for a conversation and receives matching services.

[0526] "Desired conversation time" refers to the specific time a user desires to have a conversation with another user.

[0527] "Desired conversation location" refers to the specific location where a user wishes to have a conversation with another user.

[0528] "Database" refers to a storage device or system that stores information received from users and is used for selection by a matching algorithm.

[0529] "Matching candidates" refer to other users selected by the AI ​​algorithm based on the user's desired conversation time and location.

[0530] "AI algorithm" refers to an artificial intelligence algorithm used to select the best match candidates based on the user's desired information.

[0531] "Specified Meeting Time" means a specific time designated by the system for a User to converse with another User.

[0532] "Designated Meeting Place" means a specific location designated by the system for a User to converse with other Users.

[0533] An "emotion recognition engine" refers to a system or software that analyzes a user's facial expressions and voice in real time to recognize their emotional state.

[0534] "Real-time" refers to the instantaneous processing and analysis of data.

[0535] "Feedback" refers to information and advice provided to users based on the analysis results of the emotion recognition engine.

[0536] The system based on this invention allows users to have a comfortable consultation and shopping experience in a physical store. The configuration and operation of this system are described in detail below.

[0537] System configuration:

[0538] 1. User Device:

[0539] A user terminal may be a smartphone, smart glasses, or other mobile device, and is hardware for running applications.

[0540] For example, smartphones are assumed to run on Android OS or iOS, and smart glasses refer to devices such as Google Glass and Microsoft HoloLens.

[0541] 2. Server:

[0542] The server is a system for storing user information, performing matching processing, conversation management, and managing the operation of the emotion recognition engine.

[0543] The main software used is Firebase for the database system, TensorFlow for the AI ​​algorithm, and OpenCV for emotion recognition.

[0544] 3. Emotion Recognition Engine:

[0545] This system analyzes the user's facial expressions and voice in real time to recognize their emotions.

[0546] Analyze the user's emotional state using TensorFlow and OpenCV.

[0547] System behavior:

[0548] 1. User Registration:

[0549] The user opens the application, enters the required information, and registers. The registration information is sent to the server, and an anonymous ID is generated. This ID is then sent to the user.

[0550] 2. Conversation preferences:

[0551] Through the application, users input the desired time and location for the conversation, as well as the topic they wish to discuss. This information is sent to the server and stored in a database.

[0552] 3. Matching process:

[0553] The server matches users with other users based on the conversation preferences stored in the app, using an AI algorithm to select the most suitable match and notify the user.

[0554] 4. Conversation initiation and sentiment analysis:

[0555] When a user initiates a conversation at a designated time and place, the emotion recognition engine is activated, analyzing the user's facial expressions and voice in real time to obtain emotional data, and providing feedback to the user as needed.

[0556] 5. Ending the conversation and saving data:

[0557] Once the conversation is over, the emotion engine's analytical data is stored on the server and used to improve the customer experience in the future.

[0558] Examples:

[0559] For example, if User A wants to consult about a specific product using smart glasses in a store, he or she inputs the consultation content and desired time through the application. Based on this, the server searches for an appropriate staff member and matches User A with Staff B. When User A starts a conversation with Staff B at the designated location, the emotion recognition engine analyzes facial expressions and voice in real time and provides feedback to the staff member as needed. After the conversation ends, the emotion data is stored in a database and used to improve services in the future.

[0560] Example prompt sentence:

[0561] ShopAssist: A physical store guide app equipped with an emotion recognition engine, it analyzes customers' emotions in real time and provides feedback to staff during consultations. When a customer starts a consultation at a specified time and place, if the emotion engine detects negative emotions, it displays an encouraging message on the display and provides appropriate advice to staff. It also has a time management function to ensure that conversations are completed within a reasonable time frame.

[0562] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0563] Step 1:

[0564] A user opens the application, enters the required information (name, age, gender, email address) and registers a new account.

[0565] Input: User's basic information (name, age, gender, email address)

[0566] Processing: The device sends the user's input data to the server, which stores the received information in a database and generates a unique anonymous ID that is sent back to the user's device.

[0567] Output: An anonymous ID and a notification of successful registration are displayed on the user's device.

[0568] Step 2:

[0569] The user inputs the desired time, location, and topic of the conversation into the application.

[0570] Input: desired time, desired location, topic

[0571] Processing: The terminal sends the entered information to the server, which stores the received data in a database.

[0572] Output: The saved information of desired conversation time, desired conversation location, and desired topic is kept in the database.

[0573] Step 3:

[0574] The server uses the stored information to select potential matches using an AI algorithm.

[0575] Input: Conversation preference information stored in the database

[0576] Processing: Using an AI algorithm (TensorFlow), the best matching candidates that meet the user's desired conditions are selected.

[0577] Output: A list of the top 5 potential matches is generated and sent to the user's device.

[0578] Step 4:

[0579] The user selects one person from the list of match candidates and presses the select button.

[0580] Input: User ID selected from list of match candidates

[0581] Processing: The device sends the selection information to the server, which matches the selected users and generates details of the specified meeting time and location.

[0582] Output: Meeting time and location details are displayed on the user's device.

[0583] Step 5:

[0584] The user starts the conversation at the designated meeting time and place and presses the start button on the device, which activates the emotion recognition engine.

[0585] Input: Tap the conversation start button, and the user's real-time facial and voice data

[0586] Processing: The emotion recognition engine (OpenCV) analyzes the user's facial expressions and voice in real time to generate emotional data, and provides real-time feedback such as encouraging messages as needed.

[0587] Output: The analyzed emotion data and feedback are displayed on the user's device.

[0588] Step 6:

[0589] After a certain time has passed since the conversation began, the device will sound an alarm to notify you that the conversation has ended.

[0590] Input: Time elapsed since the start of the conversation

[0591] Action: When the specified time (20 minutes and 60 minutes) is reached, the device will sound an alarm to notify the user.

[0592] Output: The user is notified of the termination alarm.

[0593] Step 7:

[0594] After the conversation ends, emotional data is stored on the server and used to improve the service in the future.

[0595] Input: Emotion data after termination, and conversation end notification

[0596] Processing: The server stores the emotion engine analysis results in a database.

[0597] Output: Stored emotion data and a dataset that will be used to improve the matching algorithm in the future.

[0598] Step 8:

[0599] The server uses GPS information to determine if the user has traveled outside a certain range and manages reuse restrictions.

[0600] Input: GPS information after completion

[0601] Processing: The server analyzes the GPS data and updates the database to enforce reuse restrictions if users are in close proximity.

[0602] Output: A notice of non-reusability is displayed on the user's device, and the reuse restriction information is saved in the database.

[0603] 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.

[0604] 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.

[0605] 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.

[0606] [Second embodiment]

[0607] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0608] 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.

[0609] 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).

[0610] 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.

[0611] 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.

[0612] 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).

[0613] 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.

[0614] 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.

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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."

[0619] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. The system mainly has functions for user registration, setting desired conversation conditions, AI matching, conducting conversations, and managing reuse restrictions. The specific processing of this system is as follows.

[0620] User registration

[0621] user

[0622] The user opens the application and accesses the new account registration screen. They enter basic information such as their name, age, gender, and email address, and click the registration button.

[0623] Terminal

[0624] The information entered by the user is sent to the server.

[0625] server

[0626] The received user information is stored in a database, a unique anonymous ID is issued to the user, and this is returned to the client (user device). The user is notified that the account registration was successful.

[0627] Setting the desired time and place for the conversation

[0628] user

[0629] Turn on the "Meet Someone" mode in the application and enter the desired time to meet, desired location (station name), location (cafe or landmark), and topic you want to talk about.

[0630] Terminal

[0631] This information is collected and sent to the server.

[0632] server

[0633] The information received is stored in a database and used to match you with other users.

[0634] AI-based matching

[0635] server

[0636] Based on the user's desired conversation time and location, the information is compared with other user information in the database, and matching candidates are selected using an AI algorithm.

[0637] The top five selected match candidates are sent to the user's device.

[0638] Terminal

[0639] Present a list of recommendations to the user.

[0640] user

[0641] Select one from the displayed candidates.

[0642] Terminal

[0643] The selection information is sent to the server.

[0644] server

[0645] It matches mutually selected users and generates detailed information.

[0646] Specify time and place

[0647] server

[0648] Once a match is made, the AI ​​will notify the user of the meeting time and location details (e.g., cafe name, address, reservation time) specified by the AI.

[0649] Terminal

[0650] Receive notifications and display them to users, and also display a confirmation button to users for meeting details.

[0651] user

[0652] Check the detailed information and press the confirm button.

[0653] Conversation and time management

[0654] Terminal

[0655] When a user presses the start button to start a conversation at the actual meeting place, a timer will start, and an alarm will sound 20 minutes after the conversation has started to notify the end.

[0656] After that, an alarm will sound every 10 minutes to prompt the user to end the conversation, and when the total time reaches 60 minutes, an alarm will sound to force the end of the conversation.

[0657] server

[0658] Confirm that the conversation has ended and record the end time.

[0659] Managing Reuse Limits

[0660] server

[0661] After the conversation ends, the system retrieves GPS information and checks whether the person is within a specified time frame to see if they are within a certain distance. If they are, future use of the service will be temporarily restricted.

[0662] Update the database to prevent the same users from being matched again.

[0663] Terminal

[0664] Display a non-reusable notice to the user.

[0665] Specific examples

[0666] For example, if user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 18:00," the server will use AI to select the best match based on this. If user A selects user B and user B selects user A, the server will notify them of the details: "Meet at Starbucks in Shibuya at 18:00." An alarm will sound 20 minutes after the conversation begins, and the conversation will be forced to end after 60 minutes. As for reuse restrictions, after the conversation ends, GPS information is checked, and if the two users are still in close proximity, the next use of the service will be suspended.

[0667] In this way, the present invention allows users to enjoy short, safe, and purposeless conversations.

[0668] The processing flow will be explained below.

[0669] Step 1:

[0670] User: Opens the application and accesses the screen for registering a new account. Enters name, age, gender, and email address and clicks the Register button.

[0671] Step 2:

[0672] Terminal: Sends the information entered by the user to the server.

[0673] Step 3:

[0674] Server: Stores the received user information in a database. Generates a unique anonymous ID and sends this ID back to the user's device.

[0675] Step 4:

[0676] User: Check the notification that account registration is complete and turn on "Meet Someone" mode.

[0677] Step 5:

[0678] User: Enter the desired time for the conversation, the desired location (station name), the location (cafe or landmark), and the topic you want to talk about, then press the Settings button.

[0679] Step 6:

[0680] Terminal: Sends the configured information to the server.

[0681] Step 7:

[0682] Server: Stores the received information in a database and prepares it for matching with other users.

[0683] Step 8:

[0684] Server: Based on the user's desired time and location for the conversation, the AI ​​algorithm searches for matching users in the database.

[0685] Step 9:

[0686] Server: Selects the top five match candidates and sends the list to the user's device.

[0687] Step 10:

[0688] Device: Show the user a list of recommendations.

[0689] Step 11:

[0690] User: Select one of the displayed candidates and press the select button.

[0691] Step 12:

[0692] Device: Sends the user's selection information to the server.

[0693] Step 13:

[0694] Server: If both users are selected, the match is established and both users are notified.

[0695] Step 14:

[0696] Server: Sends the specified meeting time and location details (e.g., cafe name, address, reservation time) to matched users.

[0697] Step 15:

[0698] Device: Receives notification and displays meeting details to the user, along with a button to confirm the details.

[0699] Step 16:

[0700] User: Check the details and press the confirmation button.

[0701] Step 17:

[0702] User: Arrive at the designated meeting place and time and press the start button within the app.

[0703] Step 18:

[0704] Device: When the conversation start button is pressed, a timer starts. An alarm sounds after 20 minutes to notify the end of the conversation.

[0705] Step 19:

[0706] Terminal: The alarm will sound every 10 minutes thereafter, and after a total of 60 minutes the forced shutdown alarm will sound.

[0707] Step 20:

[0708] Server: After the conversation ends, get GPS information to see if the user is still nearby. If so, update the database to enforce reuse restrictions.

[0709] Step 21:

[0710] Server: Stores a record of reuse restrictions in a database to prevent the same user from using the service again.

[0711] Step 22:

[0712] Device: Display a non-reusable notification to the user.

[0713] Through the above process, the system of the present invention allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information.

[0714] Example 1

[0715] 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."

[0716] In conventional chat systems, it was difficult for users to safely enjoy short conversations with other users while maintaining their anonymity. Furthermore, management of desired conversation conditions and reuse restrictions was insufficient, and safety and convenience for users were not adequately ensured. This could result in a decrease in user satisfaction and a decrease in the frequency of system use.

[0717] 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.

[0718] In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this information in a database, means for selecting match candidates with other users based on the stored information using an AI algorithm, means for notifying matched users of detailed information on the specified meeting time and location, means for sounding an alarm a certain time after the start of the conversation to notify them of the end of the conversation, means for using GPS information to restrict reuse when the user moves outside a certain range, means for registering the user's basic information and issuing a unique anonymous ID, means for sending a notification to the user after registration, means for validating the desired conversation conditions and displaying an error if they are invalid, means for sending information on match candidates selected by the user to the server, means for starting a timer when the user presses the start conversation button, means for sounding an alarm at certain intervals to prompt the user to end the conversation, and means for notifying the server of the end of the conversation and recording the end time.This enables users to enjoy conversations with other users safely in a short amount of time while maintaining their anonymity.

[0719] "User" refers to a user who accesses the system and provides information on the desired time and location for conversation.

[0720] "Desired conversation time" is information indicating the conversation start time desired by the user.

[0721] "Preference place for conversation" is information that indicates details of the place where the user wishes to have a conversation (e.g., station name, cafe, landmark).

[0722] The "database" is an information management system for storing various user information, including desired conversation time and desired conversation location.

[0723] An "AI algorithm" is a program that selects matching candidates based on stored information and uses machine learning technology.

[0724] "Matching candidates" are a group of other users selected based on the user's desired conversation time and desired conversation location information.

[0725] "Meeting time" is the time when the matched users plan to actually meet.

[0726] "Detailed information" refers to information including specific details of the meeting time and location (e.g., the name of the cafe, address, and reservation time).

[0727] An "alarm" is an audio or visual notification that notifies the user when a conversation begins or ends.

[0728] "GPS information" is geographical information used to identify a user's current location.

[0729] "Restrict reuse" is a function that temporarily restricts a user's next use of the service if they go outside a specific range.

[0730] A "unique anonymous ID" is a unique identifier issued at the time of user registration that is different from other users.

[0731] "Validation" is the process of checking whether the desired conversation conditions entered by the user are valid and displaying an error if they are invalid.

[0732] The "timer" is a function that measures the time from the start to the end of a conversation and sounds an alarm after a certain amount of time has passed.

[0733] "End time" is information indicating the time when the conversation ended.

[0734] MODE FOR CARRYING OUT THE INVENTION

[0735] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. The system mainly has functions for user registration, setting desired conversation conditions, matching by AI, conducting conversations, and managing reuse restrictions.

[0736] User registration

[0737] User

[0738] The user opens the application and accesses the new account registration screen. They enter basic information such as their name, age, gender, and email address, and click the registration button.

[0739] Terminal

[0740] The input information is converted into JSON format and sent to the server using the HTTPS protocol.

[0741] server

[0742] The received user information is validated and stored in an RDBMS such as MySQL, and a unique anonymous ID is issued for the new user and returned to the client, where it is temporarily stored in the user object.

[0743] Terminal

[0744] A response is received from the server and a popup notification is displayed to the user indicating that registration was successful.

[0745] Setting the desired time and place for the conversation

[0746] User

[0747] Turn on the "Meet Someone" mode in the app. Enter the desired time, location (station name), cafe or landmark, and topic of conversation in the fields that appear on the screen.

[0748] Terminal

[0749] The entered information is sent to the server in JSON format. At the same time, a validation function is implemented to display an error if the conditions are invalid.

[0750] server

[0751] The desired conversation conditions received are saved in a database and used to match with other users.

[0752] AI-based matching

[0753] server

[0754] The system extracts the user's desired conversation conditions from the database, and uses an AI algorithm (e.g., TensorFlow) to select other users who can be matched. It then lists the top five candidates.

[0755] server

[0756] The top five selected matching candidates are sent to the user's device in JSON format.

[0757] Terminal

[0758] The list of received matching candidates is displayed on the screen.

[0759] User

[0760] Select one of the candidates displayed and click the "Select" button.

[0761] Terminal

[0762] The selected information is sent to the server.

[0763] server

[0764] The system confirms the match between the mutually selected users and generates detailed information (meeting time and location details).

[0765] Specify time and place

[0766] server

[0767] For users who have been matched, the AI ​​creates information on the meeting time and location details (e.g., cafe name, address, reservation time) specified by the user.

[0768] server

[0769] The created meeting details information is notified to the user terminal.

[0770] Terminal

[0771] The received meeting details are displayed to the user, and a confirmation button is displayed on the screen.

[0772] User

[0773] Check the displayed details and press the "Confirm" button.

[0774] Conversation and time management

[0775] User

[0776] When you want to actually start the conversation at the meeting place, press the "Start" button.

[0777] Terminal

[0778] When the "Start" button is pressed, an internal timer will start, and an alarm will sound 20 minutes after the conversation begins to signal the end.

[0779] Terminal

[0780] After that, an alarm will sound every 10 minutes to prompt the conversation to end. When the total time reaches 60 minutes, an alarm will sound to force the conversation to end.

[0781] server

[0782] Once the conversation has ended, the end time is recorded in the database.

[0783] Managing Reuse Limits

[0784] server

[0785] After the conversation ends, the system retrieves the user's GPS information and checks whether they are within a specified time frame.

[0786] server

[0787] If users are in close proximity, the service will temporarily restrict future use of the service, and the database will be updated to prevent the same users from being matched again.

[0788] Terminal

[0789] Display a non-reusable notice to the user.

[0790] Specific examples

[0791] For example, suppose that user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 18:00." The server uses AI based on this to select the best match candidate, and if user A selects user B and user B selects user A, the server notifies both users with the details "Meet at a cafe in Shibuya at 18:00." A conversation begins, and an alarm sounds 20 minutes later, and the conversation is forced to end after 60 minutes. As a reuse restriction, GPS information is checked after the conversation ends, and if the two users are still within close proximity, the next use of the service is suspended.

[0792] Prompt Sentence Examples

[0793] "Suggest casual conversation topics, such as hobbies, a recent book you read, or a favorite movie."

[0794] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0795] Step 1:

[0796] New user registration

[0797] A user opens the application and accesses the new registration screen. They enter basic information such as name, age, gender, and email address, and click the Register button. At this time, the input information, name, age, gender, and email address, are obtained.

[0798] The terminal converts this information into JSON format and sends it to the server using the HTTPS protocol.

[0799] The server verifies the received user information and stores it in an RDBMS such as MySQL. At the same time, it issues a unique anonymous ID to the new user and returns it to the terminal. At this time, the input information is the user's basic information and the output is the generated unique anonymous ID.

[0800] The device receives the response from the server and displays a pop-up notification to the user that the registration was successful.

[0801] Step 2:

[0802] Setting the desired time and place for the conversation

[0803] The user turns on the "Meet Someone" mode in the application and inputs the desired time to talk, the desired location (station name), the location (cafe or landmark), and the topic they want to talk about. The input information is the desired time to talk, the desired location, the location, and the topic they want to talk about.

[0804] The terminal sends this information to the server in JSON format. It also validates the input data and displays an error if it is invalid.

[0805] The server stores the received conversational requirements in a database. The input information is the conversational requirements, and the output is the records stored in the database.

[0806] Step 3:

[0807] AI-based matching

[0808] The server retrieves the user's desired conversation conditions from the database and selects other users who can be matched using an AI algorithm (e.g., TensorFlow). Here, the input information is the user's desired conversation conditions, and the output is a list of matching candidates.

[0809] The server sends the top five selected match candidates to the user's terminal in JSON format. The input information is a list of match candidates, and the output is JSON format data.

[0810] The terminal displays the received list of matching candidates on the screen. The output is a screen display of the candidate list.

[0811] The user selects one of the displayed candidates and clicks the "Select" button. The input information is the selected candidate ID.

[0812] The terminal sends the selected information to the server. The input is the selected candidate ID and the output is sending execution.

[0813] The server determines the match between mutually selected users and generates details (meeting time and location details). The input is the selection information and the output is the generated details.

[0814] Step 4:

[0815] Specify time and place

[0816] For users who have been matched, the server creates detailed information about the meeting time and location specified by the AI ​​(e.g., cafe name, address, reservation time) and notifies the user in JSON format. The input information is the confirmed match information, and the output is a notification of the detailed information.

[0817] The terminal displays the received meeting details to the user and displays a confirmation button on the screen. The input is the detailed information, and the output is the display of the detailed information and the installation of the confirmation button.

[0818] The user checks the displayed detailed information and presses the "Confirm" button. The input information is the detailed information and the output is pressing the confirm button.

[0819] Step 5:

[0820] Conversation and time management

[0821] When a user actually starts a conversation at a meeting place, he or she presses a "Start" button. The input information is the user's operation and the output is the start signal.

[0822] When the "Start" button is pressed, the terminal starts an internal timer. 20 minutes after the conversation starts, an alarm sounds to notify the end of the conversation. The input information is the start signal, and the output is the alarm setting.

[0823] The device will then sound an alarm every 10 minutes to prompt the user to end the conversation. When the total time reaches 60 minutes, the device will automatically sound an end alarm. The input information is the elapsed time, and the output is an alarm notification.

[0824] When the server confirms the end of the conversation, it records the end time in the database. The input information is the end signal, and the output is a record of the end time.

[0825] Step 6:

[0826] Managing Reuse Limits

[0827] After the conversation ends, the server obtains the user's GPS information and checks whether they are in close proximity within the specified time. The input information is GPS information, and the output is confirmation of close proximity.

[0828] If the server is in close proximity, it will temporarily restrict future use of the service. It also updates the database to prevent the same users from matching again. The input information is the confirmation result, and the output is the setting of the reuse limit and the database update.

[0829] The device will display a no-reuse notification to the user. The input is the reuse restriction setting and the output is the notification display.

[0830] (Application example 1)

[0831] 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."

[0832] Current online communication platforms have problems, such as the need for users to disclose personal information and the difficulty of maintaining anonymous, short-term conversations. Furthermore, while new forms of communication are needed in virtual spaces, there is a lack of systems that can meet these needs. Furthermore, providing topics based on the content of conversations and improving matching accuracy are also issues. A new system is needed to solve these problems.

[0833] 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.

[0834] In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this in a database, means for selecting match candidates with other users based on the stored information using an AI algorithm, means for notifying matched users of detailed information on the specified meeting time and location, means for sounding an alarm a certain amount of time after the start of the conversation to notify the end of the conversation, means for using GPS information to restrict reuse if the user moves outside a specific range, means for anonymously conversing with other users in a virtual space, means for setting the desired conversation time and virtual store and performing matching using AI, and means for using a generative AI model to provide prompts based on the content of the conversation. This allows users to safely and efficiently enjoy short-term conversations with other users in a virtual space without disclosing their personal information.

[0835] A "user" is an individual who uses the system to set desired conversation conditions and engage in conversations with other users.

[0836] "Desired conversation time" is information indicating the time a user desires to have a conversation with another user.

[0837] The "desired conversation location" is information indicating a physical or virtual location where a user desires to have a conversation with another user.

[0838] "Database" means an information management device within the system for storing users' desired time and location for conversation, and other related information.

[0839] "Matching candidates" is a list of other users who meet the user's desired conversation criteria.

[0840] The "AI algorithm" is an artificial intelligence program that selects the best matching candidates based on the user's desired conversation conditions.

[0841] The "specified meeting time and location" refers to the specific start time and location of the conversation that will be notified to the user after AI matching.

[0842] An "alarm" is a warning sound or notification that notifies you that a certain amount of time has passed since the start of a conversation.

[0843] "GPS Information" means User's location information obtained by the Global Positioning System.

[0844] "Virtual space" is a virtual environment on the Internet constructed using digital technology.

[0845] "Anonymous conversation" means that a user can have a conversation with another user without disclosing their personal information.

[0846] A "virtual store" is a virtual store or location that exists in a virtual space.

[0847] A "generative AI model" is an artificial intelligence program that automatically generates conversation content and themes based on specific input.

[0848] A "prompt" is text that a generative AI model provides to a user indicating the topic or theme of the conversation.

[0849] The present invention provides a system that allows users to enjoy safe and anonymous conversations with other users in a short time without disclosing personal information. A system for implementing the present invention will be described in detail below.

[0850] User Registration

[0851] Users register an account by entering basic information such as their name, age, and email address. The entered information is sent to the server via the device, which stores it in a database and issues the user a unique anonymous ID. This anonymous ID can be used to log in from the next time onwards.

[0852] Setting conversation preferences

[0853] Within the application, users input the desired time for the conversation, the desired location (physical or virtual), and the topic they wish to discuss. This information is then sent from the device to the server and stored in a database.

[0854] AI-based matching

[0855] The server uses an AI algorithm to select suitable matchmaking candidates based on the user's desired time and location for the conversation, and then uses the stored information to select the five most suitable matchmaking candidates and notify the user's device.

[0856] Conducting a conversation

[0857] Once a user selects one of the match candidates, the selection information is sent back to the server. The server then matches the selected users and notifies them of the specified conversation time and location. The users then begin a conversation anonymously in a virtual store in a virtual space.

[0858] Conversation alarm function

[0859] The device will sound an alarm 20 minutes after the conversation starts to notify you that the conversation has ended, and will continue to sound an alarm every 10 minutes thereafter, for a total of 60 minutes before the conversation is forced to end.

[0860] Reuse restrictions using GPS information

[0861] After the conversation ends, the server retrieves the user's GPS information to check whether they have moved outside a certain range, limiting re-matching between the same users.

[0862] Leveraging generative AI models

[0863] Using a generative AI model, the system provides prompts based on the user's conversation, which smooth the flow of the conversation and create an environment where the user feels comfortable speaking.

[0864] Specific examples

[0865] For example, if User A sets a date to "talk about technology at a virtual cafe at 18:00" and User B sets the same date, the AI ​​algorithm will match the two and notify them of the "conversation at a virtual cafe at 18:00." When the conversation begins, the generative AI model will provide a prompt such as "What do you think about the latest technology trends?", encouraging a natural conversation start.

[0866] Prompt Sentence Examples

[0867] What do you think about the latest technology trends?

[0868] What is your favorite gadget?

[0869] Have you read any interesting articles or news recently?

[0870] In this way, the system of the present invention allows users to safely and efficiently enjoy short-term conversations with other users without disclosing personal information.

[0871] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0872] Step 1:

[0873] The user accesses the new account registration screen and enters basic information such as name, age, and email address. This is used as input data and the device sends the entered information to the server. The server stores the received user information in a database, generates a unique anonymous ID, and returns it to the client (user device). The user receives the anonymous ID and uses it for future logins.

[0874] Step 2:

[0875] The user inputs the desired time for the conversation, the desired location (physical location or virtual store), and the topic they wish to discuss within the application. This information is then sent by the device to the server, which then stores the received information in a database.

[0876] Step 3:

[0877] The server selects potential matches with other users based on the user's desired conversation time, location, and topic information stored in the database. This step uses an AI algorithm. The server then sends the top five selected match candidates to the user's device as output data.

[0878] Step 4:

[0879] The user selects one person from a list of match candidates displayed on the device. This selection information is sent as input data to the server, which then matches the mutually selected users and generates detailed information.

[0880] Step 5:

[0881] The server notifies the matched user of the specified meeting time and location details. The device receives this notification as output data and displays it to the user. The user checks the meeting details and presses the confirmation button.

[0882] Step 6:

[0883] When a conversation begins, the user presses the "Start" button on the device. Based on this input data, the device starts a timer and sounds an alarm after a certain time (20 minutes). This notifies the user that the conversation has ended. The alarm continues to sound every 10 minutes thereafter, and after a total of 60 minutes has elapsed, the device will forcibly output an end alarm.

[0884] Step 7:

[0885] After the conversation ends, the server receives GPS information from the device to determine if it has left a certain range. This updates the database to prevent the same users from being matched again. This updated data acts as a reuse restriction for future matches.

[0886] Step 8:

[0887] Using the generative AI model, the server generates prompts based on the conversation content and sends them to the device. The device then displays the prompts to the user, helping to facilitate smooth conversation. For example, a prompt might be, "What do you think about the latest technology trends?"

[0888] 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.

[0889] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and performs matching and feedback based on those emotions. The specific processing of this system is as follows.

[0890] User registration

[0891] user

[0892] Open the application and access the screen for registering a new account. Enter your name, age, gender, and email address, then click the Register button.

[0893] Terminal

[0894] The information entered by the user is sent to the server.

[0895] server

[0896] The received user information is stored in a database, a unique anonymous ID is generated, and this is sent back to the user's device, and the user is notified that the account registration was successful.

[0897] Setting the desired time and place for the conversation

[0898] user

[0899] Turn on the "Meet Someone" mode in the application and enter the desired time for the conversation, the desired location (station name), the location of the conversation (cafe or landmark), and the topic you want to talk about.

[0900] Terminal

[0901] This information is collected and sent to the server.

[0902] server

[0903] The information received is stored in a database and used to match you with other users.

[0904] AI-based matching

[0905] server

[0906] Based on the user's desired conversation time and location, the system compares this with other user information in the database and uses an AI algorithm to search for matching candidates.

[0907] The top five selected match candidates are sent to the user's device.

[0908] Terminal

[0909] Present a list of recommended candidates to the user.

[0910] user

[0911] Select one of the displayed candidates and press the select button.

[0912] Terminal

[0913] The selection information is sent to the server.

[0914] server

[0915] It matches mutually selected users and generates detailed information.

[0916] Specify time and place

[0917] server

[0918] Once a match is made, the AI ​​sends the user details of the meeting time and location (e.g., the name of the cafe, address, and reservation time) specified by the AI.

[0919] Terminal

[0920] Receive notifications and display meeting details to users, along with a button to confirm details.

[0921] user

[0922] Check the detailed information and press the confirm button.

[0923] Conversation and time management

[0924] Terminal

[0925] When a user presses the start button at the actual meeting place to start a conversation, the emotion engine is activated at the same time, and analyzes the user's emotions in real time based on their facial expressions and voice.

[0926] Emotion Engine

[0927] Collect and analyze the user's emotional data during the conversation to identify positive or negative emotional states.

[0928] Terminal

[0929] An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is over. After that, the alarm will sound every 10 minutes, and when the total time reaches 60 minutes, the alarm will sound to end the conversation.

[0930] Emotional data feedback and storage

[0931] Emotion Engine

[0932] It provides real-time feedback to the conversation partner based on the user's perceived emotions, for example, displaying encouraging messages if the emotional state is negative.

[0933] server

[0934] The analysis results from the emotion engine are stored in a database and used to improve the matching algorithm in the future.

[0935] Managing Reuse Limits

[0936] server

[0937] After the conversation ends, we retrieve GPS information to see if the user is still nearby, and if so, update our database to enforce reuse restrictions.

[0938] Update records to prevent the same users from matching again.

[0939] Terminal

[0940] Display a non-reusable notice to the user.

[0941] Specific examples

[0942] For example, if user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 6:00 PM," the server will use AI to select the best match based on this. If user A selects user B and user B selects user A, the server will notify them of the details of "Meet at a cafe in Shibuya at 6:00 PM." Once the conversation begins, the emotion engine analyzes the emotions of both parties in real time and provides feedback as needed. An alarm will sound after 20 minutes, and the system will be forced to end after 60 minutes. The server will check GPS information and restrict reuse if the users are still within close proximity.

[0943] In this way, the present invention not only allows users to enjoy short, safe, and purposeless conversations, but also improves the quality of the conversations through the emotion engine.

[0944] The processing flow will be explained below.

[0945] Step 1:

[0946] User: Opens the application and accesses the screen for registering a new account. Enters name, age, gender, and email address and clicks the Register button.

[0947] Step 2:

[0948] Terminal: Sends the information entered by the user to the server.

[0949] Step 3:

[0950] Server: Stores the received user information in a database, generates a unique anonymous ID, and sends it back to the user's device. Notifies the user that the account registration was successful.

[0951] Step 4:

[0952] User: Check the notification that account registration is complete and turn on "Meet Someone" mode.

[0953] Step 5:

[0954] User: Enter the desired time for the conversation, the desired location (station name), the location (cafe or landmark), and the topic you want to talk about, then press the Settings button.

[0955] Step 6:

[0956] Terminal: Sends the configured information to the server.

[0957] Step 7:

[0958] Server: Stores the received information in a database and prepares it for matching with other users.

[0959] Step 8:

[0960] Server: Based on the user's desired time and location for the conversation, the AI ​​algorithm searches for matching users in the database.

[0961] Step 9:

[0962] Server: Selects the top five match candidates and sends the list to the user's device.

[0963] Step 10:

[0964] Device: Show the user a list of recommendations.

[0965] Step 11:

[0966] User: Select one of the displayed candidates and press the select button.

[0967] Step 12:

[0968] Device: Sends the user's selection information to the server.

[0969] Step 13:

[0970] Server: Matches mutually selected users and generates detailed information.

[0971] Step 14:

[0972] Server: Sends the AI-specified meeting time and location details (e.g., cafe name, address, reservation time) to the matched user.

[0973] Step 15:

[0974] Device: Receives notification and displays meeting details to the user, along with a button to confirm the details.

[0975] Step 16:

[0976] User: Check the details and press the confirmation button.

[0977] Step 17:

[0978] User: Arrive at the designated meeting place and time and press the start button within the app.

[0979] Step 18:

[0980] Device: When the conversation start button is pressed, a timer starts. The emotion engine also starts, analyzing the user's emotions in real time based on their facial expressions and voice.

[0981] Step 19:

[0982] Emotion engine: Collects and analyzes the user's emotional data during conversation, identifies positive or negative emotional states, and sends the analysis results to the user's device.

[0983] Step 20:

[0984] Device: Displays the emotional state of the person during the conversation in real time and provides feedback as needed, for example, an encouraging message if the emotional state is negative.

[0985] Step 21:

[0986] Device: An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is ending. An alarm will sound every 10 minutes thereafter, and when the total time reaches 60 minutes, an alarm will sound to terminate the conversation.

[0987] Step 22:

[0988] Server: After the conversation ends, the analysis results from the emotion engine are stored in a database and used to improve the matching algorithm in the future.

[0989] Step 23:

[0990] Server: Gets GPS information and checks if the user is still nearby. If so, updates the database to enforce reuse restrictions. Updates records to prevent the same users from being matched again.

[0991] Step 24:

[0992] Device: Display a non-reusable notification to the user.

[0993] Through the above process, the system of the present invention allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, the use of an emotion engine improves the quality of the conversation, providing a better matching experience.

[0994] Example 2

[0995] 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."

[0996] Conventional online conversation matching systems have difficulty in ensuring the quality and safety of conversations, and do not adequately guarantee anonymity. Furthermore, they lack a system that can grasp users' emotional state in real time and provide appropriate feedback. This has led to problems such as the actual conversation not progressing smoothly and the inappropriate management of reuse between users.

[0997] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0998] In this invention, the server includes means for receiving information from the user regarding the desired conversation time, desired conversation location, and desired conversation content, and storing this information in data storage, means for selecting match candidates with other users using a generative AI algorithm based on the stored information, and means for analyzing the user's emotional state in real time using an emotion engine. This makes it possible to provide a safe and high-quality conversation experience, and also to provide appropriate feedback based on the user's emotional state while maintaining anonymity.

[0999] "User" means an individual who registers and operates the application for the purpose of using the system to find conversation partners.

[1000] "Server" refers to the central computer system that receives information sent by users, stores it in data storage, and processes it using AI algorithms and emotion engines.

[1001] "Terminal" means a device operated by a user that has hardware and software for inputting and receiving information.

[1002] "Emotion engine" refers to the algorithms and software that analyze a user's facial expressions and voice to analyze and identify their emotional state in real time.

[1003] "Data storage" refers to a storage device installed within a server for storing user information, conversation preferences, emotional data, etc.

[1004] "AI algorithm" refers to a calculation method or technique for automatically generating matching candidates with other users based on the user's desired conversation information.

[1005] "Alarm" refers to a function that emits a sound or message to notify the user that a certain amount of time has passed in the conversation.

[1006] "GPS Information" refers to location information obtained using a satellite positioning system to identify a user's current location.

[1007] "Anonymous ID" refers to a unique identification number generated to protect the user's personal information.

[1008] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and performs matching and feedback based on those emotions.

[1009] Specifically, the process begins with a user operating an application to register a new account. The user opens the application and enters required information such as name, age, gender, and email address. The device sends this information to the server, which then stores the received user information in data storage, generates a unique anonymous ID, and sends it back to the user's device. This completes the user's account registration.

[1010] Next, the user turns on the "Meet Someone" mode in the application and inputs the desired time to meet, the desired location (e.g., station name), the location (e.g., cafe or landmark), and the topic they want to discuss. The device collects this information and sends it to the server, which then stores it in its data storage. This information can then be used for future matches.

[1011] The server compares the user's desired conversation time, location, and topic information with other user information stored in its data storage. An algorithm based on a generative AI model is used here to search for matching candidates. As a result of the comparison, the top five matching candidates are selected and sent to the user's device as a recommended candidate list. The user reviews this list and selects the candidate they most want to talk to. The device then sends the user's selection information to the server, which then matches the mutually selected users. Once a match is made, the user is notified of details of the specified meeting time and location.

[1012] To start a conversation, the user presses the start button on the device. At the same time, the emotion engine starts up and analyzes the user's facial expressions and voice in real time. The emotion engine collects and analyzes the user's emotional data and identifies whether the emotional state is good or problematic. After a certain amount of time has passed since the start of the conversation, the device sounds an alarm to notify the end of the conversation, and after the conversation ends, the analysis results by the emotion engine are saved in data storage. This will be used to improve the matching algorithm in the future.

[1013] Another important feature is the reuse restriction. After a conversation ends, the server retrieves GPS information to check whether the users are still nearby. Based on this, the server updates the records to prevent the same users from matching again.

[1014] Specific examples

[1015] For example, if User A and User B turn on the "Meet Someone" mode and each select "Tea at a cafe at the station at 6:00 PM," the server will use this information to select the best match using a generative AI model. If User A selects User B and User B selects User A, the server will notify them of the details of "Meet at a cafe at the station at 6:00 PM." Once the conversation begins, the emotion engine analyzes the emotions of both parties in real time and provides feedback as needed. An alarm will sound after 20 minutes, and the system will be forced to end after 60 minutes. The server will check GPS information and restrict reuse if the users are still within close proximity.

[1016] Prompt Sentence Examples

[1017] Use the following natural language processing task to generate a system flow that allows users to enjoy a quick and safe conversation. Please create a description based on the following steps: user registration, setting the desired conversation time and location, matching with AI, specifying the time and location, conducting the conversation and managing the time limit, feedback and storage of emotional data, and managing reuse restrictions. Please also include specific use cases.

[1018] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1019] Step 1: Registering a user

[1020] User: Open the application and click the "Register a new account" button. Enter your name, age, gender, and email address, then click the Register button.

[1021] Input: Name, age, gender, email address

[1022] Output: Account registration request

[1023] Terminal: Sends the entered user information to the server.

[1024] Input: User input information

[1025] Output: Request sent to server

[1026] Server: Stores the received user information in data storage, generates a unique anonymous ID, and sends it back to the user's device, notifying them that the account registration was successful.

[1027] Input: User information

[1028] Data processing: storing user information in a database, generating a unique anonymous ID

[1029] Output: Anonymous ID, account registration success notification

[1030] Step 2: Set the desired time and location for the conversation

[1031] User: Turn on the "Meet Someone" mode within the application and enter the desired time, location, and topic of conversation.

[1032] Input: desired time, desired location, desired topic

[1033] Output: Conversation preference information

[1034] Terminal: Sends the entered conversation preference information to the server.

[1035] Input: User settings information

[1036] Output: Request sent to server

[1037] Server: Stores the received information in data storage.

[1038] Input: desired time, desired location, desired topic

[1039] Data processing: Save conversation preference information in a database

[1040] Output: Information saving completion notification

[1041] Step 3: AI matching

[1042] Server: Based on the user's desired conversation time, location, and topic information, the server matches the information of other users in the data storage. It uses a generative AI algorithm to search for matching candidates. It then selects the top five matching candidates.

[1043] Input: desired time, desired location, desired topic

[1044] Data calculation: candidate search, matching by generative AI algorithm

[1045] Output: A list of possible matches

[1046] On the device: The recommendation list sent from the server is displayed to the user.

[1047] Input: Match candidate list

[1048] Output: Display of recommendation candidate list

[1049] User: Select a name from the list of candidates and press the select button.

[1050] Input: Selected candidate

[1051] Output: Candidate selection information

[1052] Terminal: Sends the selection information to the server.

[1053] Input: Selection information

[1054] Output: Send to server

[1055] Server: Matches mutually selected users, generates detailed information, and notifies users.

[1056] Input: Selection information of both users

[1057] Data processing: Matching and detailed information generation

[1058] Output: Meeting details notification

[1059] Step 4: Specify the time and location

[1060] Server: Sends the specified meeting time and location details (e.g., cafe name, address, reservation time) to matched users.

[1061] Input: Meeting time, location, details

[1062] Output: Meeting details notification

[1063] Device: Receives notifications and displays meeting details to the user, along with a confirmation button for more information.

[1064] Input: Meeting details

[1065] Output: Display detailed information, display confirmation button

[1066] User: Check the details and press the confirmation button.

[1067] Input: Confirm, press button

[1068] Output: Confirmation information

[1069] Step 5: Conducting the conversation and managing the time

[1070] User: Presses the start button in the application when starting a conversation at the actual meeting location.

[1071] Input: Press the Start button

[1072] Output: Conversation start notification

[1073] Device: Upon launch, the emotion engine is activated and analyzes the user's facial expressions and voice in real time.

[1074] Input: Conversation start notification

[1075] Data calculation: Emotion engine activation, real-time analysis

[1076] Output: Emotion data

[1077] Emotion Engine: Collects and analyzes the user's emotional data during a conversation to identify positive or negative emotional states.

[1078] Input: User's facial expressions, voice

[1079] Data Computing: Sentiment Data Analysis

[1080] Output: Analysis results

[1081] Device: An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is over. The alarm will sound every 10 minutes thereafter, and when the total time reaches 60 minutes, a forced termination alarm will sound.

[1082] Input: Timer

[1083] Output: Alarm, termination notification

[1084] Step 6: Feedback and storage of emotion data

[1085] Emotion engine: Provides real-time feedback to the conversation partner based on the user's perceived emotions, for example, displaying encouraging messages if the emotional state is negative.

[1086] Input: Analysis results

[1087] Output: Feedback message

[1088] Server: The analysis results of the emotion engine are stored in data storage and used to improve the matching algorithm in the future.

[1089] Input: Analysis results

[1090] Data processing: data storage, algorithm improvement

[1091] Output: Save completion notification

[1092] Step 7: Manage Reuse Limits

[1093] Server: After the conversation ends, get GPS information to see if the user is still nearby. If so, update data storage to enforce reuse restrictions. Update records to prevent the same users from matching again.

[1094] Input: GPS information

[1095] Data calculation: distance determination, data storage update

[1096] Output: Reuse restriction applied notification

[1097] Device: Display a non-reusable notification to the user.

[1098] Input: Reuse Restriction Applicable Notice

[1099] Output: Display of non-reusable notification

[1100] (Application example 2)

[1101] 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."

[1102] In today's stores, it is difficult to quickly assign the right staff member to a customer, especially for new or first-time customers. There is also a lack of support to ensure smooth interactions between customers and staff. This results in lower store efficiency and lower customer satisfaction. Furthermore, there is no system in place to analyze customer sentiment in real time and provide appropriate feedback, meaning the quality of conversations cannot be guaranteed.

[1103] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this information in a database, means for selecting matching candidates with other users using an AI algorithm based on the stored information, means for notifying users who have been matched of detailed information on the specified meeting time and location, and means for analyzing the user's emotions in real time during the conversation using an emotion recognition engine and providing feedback based on the analysis. This enables customers and staff to be matched quickly and appropriately, and furthermore, analyzing emotions in real time and providing feedback can improve the quality of service.

[1104] "User" refers to an individual who uses the system to provide information on the desired time and location for a conversation and receives matching services.

[1105] "Desired conversation time" refers to the specific time a user desires to have a conversation with another user.

[1106] "Desired conversation location" refers to the specific location where a user wishes to have a conversation with another user.

[1107] "Database" refers to a storage device or system that stores information received from users and is used for selection by a matching algorithm.

[1108] "Matching candidates" refer to other users selected by the AI ​​algorithm based on the user's desired conversation time and location.

[1109] "AI algorithm" refers to an artificial intelligence algorithm used to select the best match candidates based on the user's desired information.

[1110] "Specified Meeting Time" means a specific time designated by the system for a User to converse with another User.

[1111] "Designated Meeting Place" means a specific location designated by the system for a User to converse with other Users.

[1112] An "emotion recognition engine" refers to a system or software that analyzes a user's facial expressions and voice in real time to recognize their emotional state.

[1113] "Real-time" refers to the instantaneous processing and analysis of data.

[1114] "Feedback" refers to information and advice provided to users based on the analysis results of the emotion recognition engine.

[1115] The system based on this invention allows users to have a comfortable consultation and shopping experience in a physical store. The configuration and operation of this system are described in detail below.

[1116] System configuration:

[1117] 1. User Device:

[1118] A user terminal may be a smartphone, smart glasses, or other mobile device, and is hardware for running applications.

[1119] For example, smartphones are assumed to run on Android OS or iOS, and smart glasses refer to devices such as Google Glass and Microsoft HoloLens.

[1120] 2. Server:

[1121] The server is a system for storing user information, performing matching processing, conversation management, and managing the operation of the emotion recognition engine.

[1122] The main software used is Firebase for the database system, TensorFlow for the AI ​​algorithm, and OpenCV for emotion recognition.

[1123] 3. Emotion Recognition Engine:

[1124] This system analyzes the user's facial expressions and voice in real time to recognize their emotions.

[1125] Analyze the user's emotional state using TensorFlow and OpenCV.

[1126] System behavior:

[1127] 1. User Registration:

[1128] The user opens the application, enters the required information, and registers. The registration information is sent to the server, and an anonymous ID is generated. This ID is then sent to the user.

[1129] 2. Conversation preferences:

[1130] Through the application, users input the desired time and location for the conversation, as well as the topic they wish to discuss. This information is sent to the server and stored in a database.

[1131] 3. Matching process:

[1132] The server matches users with other users based on the conversation preferences stored in the app, using an AI algorithm to select the most suitable match and notify the user.

[1133] 4. Conversation initiation and sentiment analysis:

[1134] When a user initiates a conversation at a designated time and place, the emotion recognition engine is activated, analyzing the user's facial expressions and voice in real time to obtain emotional data, and providing feedback to the user as needed.

[1135] 5. Ending the conversation and saving data:

[1136] Once the conversation is over, the emotion engine's analytical data is stored on the server and used to improve the customer experience in the future.

[1137] Examples:

[1138] For example, if User A wants to consult about a specific product using smart glasses in a store, he or she inputs the consultation content and desired time through the application. Based on this, the server searches for an appropriate staff member and matches User A with Staff B. When User A starts a conversation with Staff B at the designated location, the emotion recognition engine analyzes facial expressions and voice in real time and provides feedback to the staff member as needed. After the conversation ends, the emotion data is stored in a database and used to improve services in the future.

[1139] Example prompt sentence:

[1140] ShopAssist: A physical store guide app equipped with an emotion recognition engine, it analyzes customers' emotions in real time and provides feedback to staff during consultations. When a customer starts a consultation at a specified time and place, if the emotion engine detects negative emotions, it displays an encouraging message on the display and provides appropriate advice to staff. It also has a time management function to ensure that conversations are completed within a reasonable time frame.

[1141] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1142] Step 1:

[1143] A user opens the application, enters the required information (name, age, gender, email address) and registers a new account.

[1144] Input: User's basic information (name, age, gender, email address)

[1145] Processing: The device sends the user's input data to the server, which stores the received information in a database and generates a unique anonymous ID that is sent back to the user's device.

[1146] Output: An anonymous ID and a notification of successful registration are displayed on the user's device.

[1147] Step 2:

[1148] The user inputs the desired time, location, and topic of the conversation into the application.

[1149] Input: desired time, desired location, topic

[1150] Processing: The terminal sends the entered information to the server, which stores the received data in a database.

[1151] Output: The saved information of desired conversation time, desired conversation location, and desired topic is kept in the database.

[1152] Step 3:

[1153] The server uses the stored information to select potential matches using an AI algorithm.

[1154] Input: Conversation preference information stored in the database

[1155] Processing: Using an AI algorithm (TensorFlow), the best matching candidates that meet the user's desired conditions are selected.

[1156] Output: A list of the top 5 potential matches is generated and sent to the user's device.

[1157] Step 4:

[1158] The user selects one person from the list of match candidates and presses the select button.

[1159] Input: User ID selected from list of match candidates

[1160] Processing: The device sends the selection information to the server, which matches the selected users and generates details of the specified meeting time and location.

[1161] Output: Meeting time and location details are displayed on the user's device.

[1162] Step 5:

[1163] The user starts the conversation at the designated meeting time and place and presses the start button on the device, which activates the emotion recognition engine.

[1164] Input: Tap the conversation start button, and the user's real-time facial and voice data

[1165] Processing: The emotion recognition engine (OpenCV) analyzes the user's facial expressions and voice in real time to generate emotional data, and provides real-time feedback such as encouraging messages as needed.

[1166] Output: The analyzed emotion data and feedback are displayed on the user's device.

[1167] Step 6:

[1168] After a certain time has passed since the conversation began, the device will sound an alarm to notify you that the conversation has ended.

[1169] Input: Time elapsed since the start of the conversation

[1170] Action: When the specified time (20 minutes and 60 minutes) is reached, the device will sound an alarm to notify the user.

[1171] Output: The user is notified of the termination alarm.

[1172] Step 7:

[1173] After the conversation ends, emotional data is stored on the server and used to improve the service in the future.

[1174] Input: Emotion data after termination, and conversation end notification

[1175] Processing: The server stores the emotion engine analysis results in a database.

[1176] Output: Stored emotion data and a dataset that will be used to improve the matching algorithm in the future.

[1177] Step 8:

[1178] The server uses GPS information to determine if the user has traveled outside a certain range and manages reuse restrictions.

[1179] Input: GPS information after completion

[1180] Processing: The server analyzes the GPS data and updates the database to enforce reuse restrictions if users are in close proximity.

[1181] Output: A notice of non-reusability is displayed on the user's device, and the reuse restriction information is saved in the database.

[1182] 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.

[1183] 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.

[1184] 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.

[1185] [Third embodiment]

[1186] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1187] 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.

[1188] 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).

[1189] 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.

[1190] 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.

[1191] 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).

[1192] 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.

[1193] 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.

[1194] 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.

[1195] 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.

[1196] 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.

[1197] 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."

[1198] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. The system mainly has functions for user registration, setting desired conversation conditions, AI matching, conducting conversations, and managing reuse restrictions. The specific processing of this system is as follows.

[1199] User registration

[1200] user

[1201] The user opens the application and accesses the new account registration screen. They enter basic information such as their name, age, gender, and email address, and click the registration button.

[1202] Terminal

[1203] The information entered by the user is sent to the server.

[1204] server

[1205] The received user information is stored in a database, a unique anonymous ID is issued to the user, and this is returned to the client (user device). The user is notified that the account registration was successful.

[1206] Setting the desired time and place for the conversation

[1207] user

[1208] Turn on the "Meet Someone" mode in the application and enter the desired time to meet, desired location (station name), location (cafe or landmark), and topic you want to talk about.

[1209] Terminal

[1210] This information is collected and sent to the server.

[1211] server

[1212] The information received is stored in a database and used to match you with other users.

[1213] AI-based matching

[1214] server

[1215] Based on the user's desired conversation time and location, the information is compared with other user information in the database, and matching candidates are selected using an AI algorithm.

[1216] The top five selected match candidates are sent to the user's device.

[1217] Terminal

[1218] Present a list of recommendations to the user.

[1219] user

[1220] Select one from the displayed candidates.

[1221] Terminal

[1222] The selection information is sent to the server.

[1223] server

[1224] It matches mutually selected users and generates detailed information.

[1225] Specify time and place

[1226] server

[1227] Once a match is made, the AI ​​will notify the user of the meeting time and location details (e.g., cafe name, address, reservation time) specified by the AI.

[1228] Terminal

[1229] Receive notifications and display them to users, and also display a confirmation button to users for meeting details.

[1230] user

[1231] Check the detailed information and press the confirm button.

[1232] Conversation and time management

[1233] Terminal

[1234] When a user presses the start button to start a conversation at the actual meeting place, a timer will start, and an alarm will sound 20 minutes after the conversation has started to notify the end.

[1235] After that, an alarm will sound every 10 minutes to prompt the user to end the conversation, and when the total time reaches 60 minutes, an alarm will sound to force the end of the conversation.

[1236] server

[1237] Confirm that the conversation has ended and record the end time.

[1238] Managing Reuse Limits

[1239] server

[1240] After the conversation ends, the system retrieves GPS information and checks whether the person is within a specified time frame to see if they are within a certain distance. If they are, future use of the service will be temporarily restricted.

[1241] Update the database to prevent the same users from being matched again.

[1242] Terminal

[1243] Display a non-reusable notice to the user.

[1244] Specific examples

[1245] For example, if user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 18:00," the server will use AI to select the best match based on this. If user A selects user B and user B selects user A, the server will notify them of the details: "Meet at Starbucks in Shibuya at 18:00." An alarm will sound 20 minutes after the conversation begins, and the conversation will be forced to end after 60 minutes. As for reuse restrictions, after the conversation ends, GPS information is checked, and if the two users are still in close proximity, the next use of the service will be suspended.

[1246] In this way, the present invention allows users to enjoy short, safe, and purposeless conversations.

[1247] The processing flow will be explained below.

[1248] Step 1:

[1249] User: Opens the application and accesses the screen for registering a new account. Enters name, age, gender, and email address and clicks the Register button.

[1250] Step 2:

[1251] Terminal: Sends the information entered by the user to the server.

[1252] Step 3:

[1253] Server: Stores the received user information in a database. Generates a unique anonymous ID and sends this ID back to the user's device.

[1254] Step 4:

[1255] User: Check the notification that account registration is complete and turn on "Meet Someone" mode.

[1256] Step 5:

[1257] User: Enter the desired time for the conversation, the desired location (station name), the location (cafe or landmark), and the topic you want to talk about, then press the Settings button.

[1258] Step 6:

[1259] Terminal: Sends the configured information to the server.

[1260] Step 7:

[1261] Server: Stores the received information in a database and prepares it for matching with other users.

[1262] Step 8:

[1263] Server: Based on the user's desired time and location for the conversation, the AI ​​algorithm searches for matching users in the database.

[1264] Step 9:

[1265] Server: Selects the top five match candidates and sends the list to the user's device.

[1266] Step 10:

[1267] Device: Show the user a list of recommendations.

[1268] Step 11:

[1269] User: Select one of the displayed candidates and press the select button.

[1270] Step 12:

[1271] Device: Sends the user's selection information to the server.

[1272] Step 13:

[1273] Server: If both users are selected, the match is established and both users are notified.

[1274] Step 14:

[1275] Server: Sends the specified meeting time and location details (e.g., cafe name, address, reservation time) to matched users.

[1276] Step 15:

[1277] Device: Receives notification and displays meeting details to the user, along with a button to confirm the details.

[1278] Step 16:

[1279] User: Check the details and press the confirmation button.

[1280] Step 17:

[1281] User: Arrive at the designated meeting place and time and press the start button within the app.

[1282] Step 18:

[1283] Device: When the conversation start button is pressed, a timer starts. An alarm sounds after 20 minutes to notify the end of the conversation.

[1284] Step 19:

[1285] Terminal: The alarm will sound every 10 minutes thereafter, and after a total of 60 minutes the forced shutdown alarm will sound.

[1286] Step 20:

[1287] Server: After the conversation ends, get GPS information to see if the user is still nearby. If so, update the database to enforce reuse restrictions.

[1288] Step 21:

[1289] Server: Stores a record of reuse restrictions in a database to prevent the same user from using the service again.

[1290] Step 22:

[1291] Device: Display a non-reusable notification to the user.

[1292] Through the above process, the system of the present invention allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information.

[1293] Example 1

[1294] 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."

[1295] In conventional chat systems, it was difficult for users to safely enjoy short conversations with other users while maintaining their anonymity. Furthermore, management of desired conversation conditions and reuse restrictions was insufficient, and safety and convenience for users were not adequately ensured. This could result in a decrease in user satisfaction and a decrease in the frequency of system use.

[1296] 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.

[1297] In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this information in a database, means for selecting match candidates with other users based on the stored information using an AI algorithm, means for notifying matched users of detailed information on the specified meeting time and location, means for sounding an alarm a certain time after the start of the conversation to notify them of the end of the conversation, means for using GPS information to restrict reuse when the user moves outside a certain range, means for registering the user's basic information and issuing a unique anonymous ID, means for sending a notification to the user after registration, means for validating the desired conversation conditions and displaying an error if they are invalid, means for sending information on match candidates selected by the user to the server, means for starting a timer when the user presses the start conversation button, means for sounding an alarm at certain intervals to prompt the user to end the conversation, and means for notifying the server of the end of the conversation and recording the end time.This enables users to enjoy conversations with other users safely in a short amount of time while maintaining their anonymity.

[1298] "User" refers to a user who accesses the system and provides information on the desired time and location for conversation.

[1299] "Desired conversation time" is information indicating the conversation start time desired by the user.

[1300] "Preference place for conversation" is information that indicates details of the place where the user wishes to have a conversation (e.g., station name, cafe, landmark).

[1301] The "database" is an information management system for storing various user information, including desired conversation time and desired conversation location.

[1302] An "AI algorithm" is a program that selects matching candidates based on stored information and uses machine learning technology.

[1303] "Matching candidates" are a group of other users selected based on the user's desired conversation time and desired conversation location information.

[1304] "Meeting time" is the time when the matched users plan to actually meet.

[1305] "Detailed information" refers to information including specific details of the meeting time and location (e.g., the name of the cafe, address, and reservation time).

[1306] An "alarm" is an audio or visual notification that notifies the user when a conversation begins or ends.

[1307] "GPS information" is geographical information used to identify a user's current location.

[1308] "Restrict reuse" is a function that temporarily restricts a user's next use of the service if they go outside a specific range.

[1309] A "unique anonymous ID" is a unique identifier issued at the time of user registration that is different from other users.

[1310] "Validation" is the process of checking whether the desired conversation conditions entered by the user are valid and displaying an error if they are invalid.

[1311] The "timer" is a function that measures the time from the start to the end of a conversation and sounds an alarm after a certain amount of time has passed.

[1312] "End time" is information indicating the time when the conversation ended.

[1313] MODE FOR CARRYING OUT THE INVENTION

[1314] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. The system mainly has functions for user registration, setting desired conversation conditions, matching by AI, conducting conversations, and managing reuse restrictions.

[1315] User registration

[1316] User

[1317] The user opens the application and accesses the new account registration screen. They enter basic information such as their name, age, gender, and email address, and click the registration button.

[1318] Terminal

[1319] The input information is converted into JSON format and sent to the server using the HTTPS protocol.

[1320] server

[1321] The received user information is validated and stored in an RDBMS such as MySQL, and a unique anonymous ID is issued for the new user and returned to the client, where it is temporarily stored in the user object.

[1322] Terminal

[1323] A response is received from the server and a popup notification is displayed to the user indicating that registration was successful.

[1324] Setting the desired time and place for the conversation

[1325] User

[1326] Turn on the "Meet Someone" mode in the app. Enter the desired time, location (station name), cafe or landmark, and topic of conversation in the fields that appear on the screen.

[1327] Terminal

[1328] The entered information is sent to the server in JSON format. At the same time, a validation function is implemented to display an error if the conditions are invalid.

[1329] server

[1330] The desired conversation conditions received are saved in a database and used to match with other users.

[1331] AI-based matching

[1332] server

[1333] The system extracts the user's desired conversation conditions from the database, and uses an AI algorithm (e.g., TensorFlow) to select other users who can be matched. It then lists the top five candidates.

[1334] server

[1335] The top five selected matching candidates are sent to the user's device in JSON format.

[1336] Terminal

[1337] The list of received matching candidates is displayed on the screen.

[1338] User

[1339] Select one of the candidates displayed and click the "Select" button.

[1340] Terminal

[1341] The selected information is sent to the server.

[1342] server

[1343] The system confirms the match between the mutually selected users and generates detailed information (meeting time and location details).

[1344] Specify time and place

[1345] server

[1346] For users who have been matched, the AI ​​creates information on the meeting time and location details (e.g., cafe name, address, reservation time) specified by the user.

[1347] server

[1348] The created meeting details information is notified to the user terminal.

[1349] Terminal

[1350] The received meeting details are displayed to the user, and a confirmation button is displayed on the screen.

[1351] User

[1352] Check the displayed details and press the "Confirm" button.

[1353] Conversation and time management

[1354] User

[1355] When you want to actually start the conversation at the meeting place, press the "Start" button.

[1356] Terminal

[1357] When the "Start" button is pressed, an internal timer will start, and an alarm will sound 20 minutes after the conversation begins to signal the end.

[1358] Terminal

[1359] After that, an alarm will sound every 10 minutes to prompt the conversation to end. When the total time reaches 60 minutes, an alarm will sound to force the conversation to end.

[1360] server

[1361] Once the conversation has ended, the end time is recorded in the database.

[1362] Managing Reuse Limits

[1363] server

[1364] After the conversation ends, the system retrieves the user's GPS information and checks whether they are within a specified time frame.

[1365] server

[1366] If users are in close proximity, the service will temporarily restrict future use of the service, and the database will be updated to prevent the same users from being matched again.

[1367] Terminal

[1368] Display a non-reusable notice to the user.

[1369] Specific examples

[1370] For example, suppose that user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 18:00." The server uses AI based on this to select the best match candidate, and if user A selects user B and user B selects user A, the server notifies both users with the details "Meet at a cafe in Shibuya at 18:00." A conversation begins, and an alarm sounds 20 minutes later, and the conversation is forced to end after 60 minutes. As a reuse restriction, GPS information is checked after the conversation ends, and if the two users are still within close proximity, the next use of the service is suspended.

[1371] Prompt Sentence Examples

[1372] "Suggest casual conversation topics, such as hobbies, a recent book you read, or a favorite movie."

[1373] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1374] Step 1:

[1375] New user registration

[1376] A user opens the application and accesses the new registration screen. They enter basic information such as name, age, gender, and email address, and click the Register button. At this time, the input information, name, age, gender, and email address, are obtained.

[1377] The terminal converts this information into JSON format and sends it to the server using the HTTPS protocol.

[1378] The server verifies the received user information and stores it in an RDBMS such as MySQL. At the same time, it issues a unique anonymous ID to the new user and returns it to the terminal. At this time, the input information is the user's basic information and the output is the generated unique anonymous ID.

[1379] The device receives the response from the server and displays a pop-up notification to the user that the registration was successful.

[1380] Step 2:

[1381] Setting the desired time and place for the conversation

[1382] The user turns on the "Meet Someone" mode in the application and inputs the desired time to talk, the desired location (station name), the location (cafe or landmark), and the topic they want to talk about. The input information is the desired time to talk, the desired location, the location, and the topic they want to talk about.

[1383] The terminal sends this information to the server in JSON format. It also validates the input data and displays an error if it is invalid.

[1384] The server stores the received conversational requirements in a database. The input information is the conversational requirements, and the output is the records stored in the database.

[1385] Step 3:

[1386] AI-based matching

[1387] The server retrieves the user's desired conversation conditions from the database and selects other users who can be matched using an AI algorithm (e.g., TensorFlow). Here, the input information is the user's desired conversation conditions, and the output is a list of matching candidates.

[1388] The server sends the top five selected match candidates to the user's terminal in JSON format. The input information is a list of match candidates, and the output is JSON format data.

[1389] The terminal displays the received list of matching candidates on the screen. The output is a screen display of the candidate list.

[1390] The user selects one of the displayed candidates and clicks the "Select" button. The input information is the selected candidate ID.

[1391] The terminal sends the selected information to the server. The input is the selected candidate ID and the output is sending execution.

[1392] The server determines the match between mutually selected users and generates details (meeting time and location details). The input is the selection information and the output is the generated details.

[1393] Step 4:

[1394] Specify time and place

[1395] For users who have been matched, the server creates detailed information about the meeting time and location specified by the AI ​​(e.g., cafe name, address, reservation time) and notifies the user in JSON format. The input information is the confirmed match information, and the output is a notification of the detailed information.

[1396] The terminal displays the received meeting details to the user and displays a confirmation button on the screen. The input is the detailed information, and the output is the display of the detailed information and the installation of the confirmation button.

[1397] The user checks the displayed detailed information and presses the "Confirm" button. The input information is the detailed information and the output is pressing the confirm button.

[1398] Step 5:

[1399] Conversation and time management

[1400] When a user actually starts a conversation at a meeting place, he or she presses a "Start" button. The input information is the user's operation and the output is the start signal.

[1401] When the "Start" button is pressed, the terminal starts an internal timer. 20 minutes after the conversation starts, an alarm sounds to notify the end of the conversation. The input information is the start signal, and the output is the alarm setting.

[1402] The device will then sound an alarm every 10 minutes to prompt the user to end the conversation. When the total time reaches 60 minutes, the device will automatically sound an end alarm. The input information is the elapsed time, and the output is an alarm notification.

[1403] When the server confirms the end of the conversation, it records the end time in the database. The input information is the end signal, and the output is a record of the end time.

[1404] Step 6:

[1405] Managing Reuse Limits

[1406] After the conversation ends, the server obtains the user's GPS information and checks whether they are in close proximity within the specified time. The input information is GPS information, and the output is confirmation of close proximity.

[1407] If the server is in close proximity, it will temporarily restrict future use of the service. It also updates the database to prevent the same users from matching again. The input information is the confirmation result, and the output is the setting of the reuse limit and the database update.

[1408] The device will display a no-reuse notification to the user. The input is the reuse restriction setting and the output is the notification display.

[1409] (Application example 1)

[1410] 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."

[1411] Current online communication platforms have problems, such as the need for users to disclose personal information and the difficulty of maintaining anonymous, short-term conversations. Furthermore, while new forms of communication are needed in virtual spaces, there is a lack of systems that can meet these needs. Furthermore, providing topics based on the content of conversations and improving matching accuracy are also issues. A new system is needed to solve these problems.

[1412] 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.

[1413] In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this in a database, means for selecting match candidates with other users based on the stored information using an AI algorithm, means for notifying matched users of detailed information on the specified meeting time and location, means for sounding an alarm a certain amount of time after the start of the conversation to notify the end of the conversation, means for using GPS information to restrict reuse if the user moves outside a specific range, means for anonymously conversing with other users in a virtual space, means for setting the desired conversation time and virtual store and performing matching using AI, and means for using a generative AI model to provide prompts based on the content of the conversation. This allows users to safely and efficiently enjoy short-term conversations with other users in a virtual space without disclosing their personal information.

[1414] A "user" is an individual who uses the system to set desired conversation conditions and engage in conversations with other users.

[1415] "Desired conversation time" is information indicating the time a user desires to have a conversation with another user.

[1416] The "desired conversation location" is information indicating a physical or virtual location where a user desires to have a conversation with another user.

[1417] "Database" means an information management device within the system for storing users' desired time and location for conversation, and other related information.

[1418] "Matching candidates" is a list of other users who meet the user's desired conversation criteria.

[1419] The "AI algorithm" is an artificial intelligence program that selects the best matching candidates based on the user's desired conversation conditions.

[1420] The "specified meeting time and location" refers to the specific start time and location of the conversation that will be notified to the user after AI matching.

[1421] An "alarm" is a warning sound or notification that notifies you that a certain amount of time has passed since the start of a conversation.

[1422] "GPS Information" means User's location information obtained by the Global Positioning System.

[1423] "Virtual space" is a virtual environment on the Internet constructed using digital technology.

[1424] "Anonymous conversation" means that a user can have a conversation with another user without disclosing their personal information.

[1425] A "virtual store" is a virtual store or location that exists in a virtual space.

[1426] A "generative AI model" is an artificial intelligence program that automatically generates conversation content and themes based on specific input.

[1427] A "prompt" is text that a generative AI model provides to a user indicating the topic or theme of the conversation.

[1428] The present invention provides a system that allows users to enjoy safe and anonymous conversations with other users in a short time without disclosing personal information. A system for implementing the present invention will be described in detail below.

[1429] User Registration

[1430] Users register an account by entering basic information such as their name, age, and email address. The entered information is sent to the server via the device, which stores it in a database and issues the user a unique anonymous ID. This anonymous ID can be used to log in from the next time onwards.

[1431] Setting conversation preferences

[1432] Within the application, users input the desired time for the conversation, the desired location (physical or virtual), and the topic they wish to discuss. This information is then sent from the device to the server and stored in a database.

[1433] AI-based matching

[1434] The server uses an AI algorithm to select suitable matchmaking candidates based on the user's desired time and location for the conversation, and then uses the stored information to select the five most suitable matchmaking candidates and notify the user's device.

[1435] Conducting a conversation

[1436] Once a user selects one of the match candidates, the selection information is sent back to the server. The server then matches the selected users and notifies them of the specified conversation time and location. The users then begin a conversation anonymously in a virtual store in a virtual space.

[1437] Conversation alarm function

[1438] The device will sound an alarm 20 minutes after the conversation starts to notify you that the conversation has ended, and will continue to sound an alarm every 10 minutes thereafter, for a total of 60 minutes before the conversation is forced to end.

[1439] Reuse restrictions using GPS information

[1440] After the conversation ends, the server retrieves the user's GPS information to check whether they have moved outside a certain range, limiting re-matching between the same users.

[1441] Leveraging generative AI models

[1442] Using a generative AI model, the system provides prompts based on the user's conversation, which smooth the flow of the conversation and create an environment where the user feels comfortable speaking.

[1443] Specific examples

[1444] For example, if User A sets a date to "talk about technology at a virtual cafe at 18:00" and User B sets the same date, the AI ​​algorithm will match the two and notify them of the "conversation at a virtual cafe at 18:00." When the conversation begins, the generative AI model will provide a prompt such as "What do you think about the latest technology trends?", encouraging a natural conversation start.

[1445] Prompt Sentence Examples

[1446] What do you think about the latest technology trends?

[1447] What is your favorite gadget?

[1448] Have you read any interesting articles or news recently?

[1449] In this way, the system of the present invention allows users to safely and efficiently enjoy short-term conversations with other users without disclosing personal information.

[1450] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1451] Step 1:

[1452] The user accesses the new account registration screen and enters basic information such as name, age, and email address. This is used as input data and the device sends the entered information to the server. The server stores the received user information in a database, generates a unique anonymous ID, and returns it to the client (user device). The user receives the anonymous ID and uses it for future logins.

[1453] Step 2:

[1454] The user inputs the desired time for the conversation, the desired location (physical location or virtual store), and the topic they wish to discuss within the application. This information is then sent by the device to the server, which then stores the received information in a database.

[1455] Step 3:

[1456] The server selects potential matches with other users based on the user's desired conversation time, location, and topic information stored in the database. This step uses an AI algorithm. The server then sends the top five selected match candidates to the user's device as output data.

[1457] Step 4:

[1458] The user selects one person from a list of match candidates displayed on the device. This selection information is sent as input data to the server, which then matches the mutually selected users and generates detailed information.

[1459] Step 5:

[1460] The server notifies the matched user of the specified meeting time and location details. The device receives this notification as output data and displays it to the user. The user checks the meeting details and presses the confirmation button.

[1461] Step 6:

[1462] When a conversation begins, the user presses the "Start" button on the device. Based on this input data, the device starts a timer and sounds an alarm after a certain time (20 minutes). This notifies the user that the conversation has ended. The alarm continues to sound every 10 minutes thereafter, and after a total of 60 minutes has elapsed, the device will forcibly output an end alarm.

[1463] Step 7:

[1464] After the conversation ends, the server receives GPS information from the device to determine if it has left a certain range. This updates the database to prevent the same users from being matched again. This updated data acts as a reuse restriction for future matches.

[1465] Step 8:

[1466] Using the generative AI model, the server generates prompts based on the conversation content and sends them to the device. The device then displays the prompts to the user, helping to facilitate smooth conversation. For example, a prompt might be, "What do you think about the latest technology trends?"

[1467] 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.

[1468] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and performs matching and feedback based on those emotions. The specific processing of this system is as follows.

[1469] User registration

[1470] user

[1471] Open the application and access the screen for registering a new account. Enter your name, age, gender, and email address, then click the Register button.

[1472] Terminal

[1473] The information entered by the user is sent to the server.

[1474] server

[1475] The received user information is stored in a database, a unique anonymous ID is generated, and this is sent back to the user's device, and the user is notified that the account registration was successful.

[1476] Setting the desired time and place for the conversation

[1477] user

[1478] Turn on the "Meet Someone" mode in the application and enter the desired time for the conversation, the desired location (station name), the location of the conversation (cafe or landmark), and the topic you want to talk about.

[1479] Terminal

[1480] This information is collected and sent to the server.

[1481] server

[1482] The information received is stored in a database and used to match you with other users.

[1483] AI-based matching

[1484] server

[1485] Based on the user's desired conversation time and location, the system compares this with other user information in the database and uses an AI algorithm to search for matching candidates.

[1486] The top five selected match candidates are sent to the user's device.

[1487] Terminal

[1488] Present a list of recommended candidates to the user.

[1489] user

[1490] Select one of the displayed candidates and press the select button.

[1491] Terminal

[1492] The selection information is sent to the server.

[1493] server

[1494] It matches mutually selected users and generates detailed information.

[1495] Specify time and place

[1496] server

[1497] Once a match is made, the AI ​​sends the user details of the meeting time and location (e.g., the name of the cafe, address, and reservation time) specified by the AI.

[1498] Terminal

[1499] Receive notifications and display meeting details to users, along with a button to confirm details.

[1500] user

[1501] Check the detailed information and press the confirm button.

[1502] Conversation and time management

[1503] Terminal

[1504] When a user presses the start button at the actual meeting place to start a conversation, the emotion engine is activated at the same time, and analyzes the user's emotions in real time based on their facial expressions and voice.

[1505] Emotion Engine

[1506] Collect and analyze the user's emotional data during the conversation to identify positive or negative emotional states.

[1507] Terminal

[1508] An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is over. After that, the alarm will sound every 10 minutes, and when the total time reaches 60 minutes, the alarm will sound to end the conversation.

[1509] Emotional data feedback and storage

[1510] Emotion Engine

[1511] It provides real-time feedback to the conversation partner based on the user's perceived emotions, for example, displaying encouraging messages if the emotional state is negative.

[1512] server

[1513] The analysis results from the emotion engine are stored in a database and used to improve the matching algorithm in the future.

[1514] Managing Reuse Limits

[1515] server

[1516] After the conversation ends, we retrieve GPS information to see if the user is still nearby, and if so, update our database to enforce reuse restrictions.

[1517] Update records to prevent the same users from matching again.

[1518] Terminal

[1519] Display a non-reusable notice to the user.

[1520] Specific examples

[1521] For example, if user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 6:00 PM," the server will use AI to select the best match based on this. If user A selects user B and user B selects user A, the server will notify them of the details of "Meet at a cafe in Shibuya at 6:00 PM." Once the conversation begins, the emotion engine analyzes the emotions of both parties in real time and provides feedback as needed. An alarm will sound after 20 minutes, and the system will be forced to end after 60 minutes. The server will check GPS information and restrict reuse if the users are still within close proximity.

[1522] In this way, the present invention not only allows users to enjoy short, safe, and purposeless conversations, but also improves the quality of the conversations through the emotion engine.

[1523] The processing flow will be explained below.

[1524] Step 1:

[1525] User: Opens the application and accesses the screen for registering a new account. Enters name, age, gender, and email address and clicks the Register button.

[1526] Step 2:

[1527] Terminal: Sends the information entered by the user to the server.

[1528] Step 3:

[1529] Server: Stores the received user information in a database, generates a unique anonymous ID, and sends it back to the user's device. Notifies the user that the account registration was successful.

[1530] Step 4:

[1531] User: Check the notification that account registration is complete and turn on "Meet Someone" mode.

[1532] Step 5:

[1533] User: Enter the desired time for the conversation, the desired location (station name), the location (cafe or landmark), and the topic you want to talk about, then press the Settings button.

[1534] Step 6:

[1535] Terminal: Sends the configured information to the server.

[1536] Step 7:

[1537] Server: Stores the received information in a database and prepares it for matching with other users.

[1538] Step 8:

[1539] Server: Based on the user's desired time and location for the conversation, the AI ​​algorithm searches for matching users in the database.

[1540] Step 9:

[1541] Server: Selects the top five match candidates and sends the list to the user's device.

[1542] Step 10:

[1543] Device: Show the user a list of recommendations.

[1544] Step 11:

[1545] User: Select one of the displayed candidates and press the select button.

[1546] Step 12:

[1547] Device: Sends the user's selection information to the server.

[1548] Step 13:

[1549] Server: Matches mutually selected users and generates detailed information.

[1550] Step 14:

[1551] Server: Sends the AI-specified meeting time and location details (e.g., cafe name, address, reservation time) to the matched user.

[1552] Step 15:

[1553] Device: Receives notification and displays meeting details to the user, along with a button to confirm the details.

[1554] Step 16:

[1555] User: Check the details and press the confirmation button.

[1556] Step 17:

[1557] User: Arrive at the designated meeting place and time and press the start button within the app.

[1558] Step 18:

[1559] Device: When the conversation start button is pressed, a timer starts. The emotion engine also starts, analyzing the user's emotions in real time based on their facial expressions and voice.

[1560] Step 19:

[1561] Emotion engine: Collects and analyzes the user's emotional data during conversation, identifies positive or negative emotional states, and sends the analysis results to the user's device.

[1562] Step 20:

[1563] Device: Displays the emotional state of the person during the conversation in real time and provides feedback as needed, for example, an encouraging message if the emotional state is negative.

[1564] Step 21:

[1565] Device: An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is ending. An alarm will sound every 10 minutes thereafter, and when the total time reaches 60 minutes, an alarm will sound to terminate the conversation.

[1566] Step 22:

[1567] Server: After the conversation ends, the analysis results from the emotion engine are stored in a database and used to improve the matching algorithm in the future.

[1568] Step 23:

[1569] Server: Gets GPS information and checks if the user is still nearby. If so, updates the database to enforce reuse restrictions. Updates records to prevent the same users from being matched again.

[1570] Step 24:

[1571] Device: Display a non-reusable notification to the user.

[1572] Through the above process, the system of the present invention allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, the use of an emotion engine improves the quality of the conversation, providing a better matching experience.

[1573] Example 2

[1574] 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."

[1575] Conventional online conversation matching systems have difficulty in ensuring the quality and safety of conversations, and do not adequately guarantee anonymity. Furthermore, they lack a system that can grasp users' emotional state in real time and provide appropriate feedback. This has led to problems such as the actual conversation not progressing smoothly and the inappropriate management of reuse between users.

[1576] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1577] In this invention, the server includes means for receiving information from the user regarding the desired conversation time, desired conversation location, and desired conversation content, and storing this information in data storage, means for selecting match candidates with other users using a generative AI algorithm based on the stored information, and means for analyzing the user's emotional state in real time using an emotion engine. This makes it possible to provide a safe and high-quality conversation experience, and also to provide appropriate feedback based on the user's emotional state while maintaining anonymity.

[1578] "User" means an individual who registers and operates the application for the purpose of using the system to find conversation partners.

[1579] "Server" refers to the central computer system that receives information sent by users, stores it in data storage, and processes it using AI algorithms and emotion engines.

[1580] "Terminal" means a device operated by a user that has hardware and software for inputting and receiving information.

[1581] "Emotion engine" refers to the algorithms and software that analyze a user's facial expressions and voice to analyze and identify their emotional state in real time.

[1582] "Data storage" refers to a storage device installed within a server for storing user information, conversation preferences, emotional data, etc.

[1583] "AI algorithm" refers to a calculation method or technique for automatically generating matching candidates with other users based on the user's desired conversation information.

[1584] "Alarm" refers to a function that emits a sound or message to notify the user that a certain amount of time has passed in the conversation.

[1585] "GPS Information" refers to location information obtained using a satellite positioning system to identify a user's current location.

[1586] "Anonymous ID" refers to a unique identification number generated to protect the user's personal information.

[1587] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and performs matching and feedback based on those emotions.

[1588] Specifically, the process begins with a user operating an application to register a new account. The user opens the application and enters required information such as name, age, gender, and email address. The device sends this information to the server, which then stores the received user information in data storage, generates a unique anonymous ID, and sends it back to the user's device. This completes the user's account registration.

[1589] Next, the user turns on the "Meet Someone" mode in the application and inputs the desired time to meet, the desired location (e.g., station name), the location (e.g., cafe or landmark), and the topic they want to discuss. The device collects this information and sends it to the server, which then stores it in its data storage. This information can then be used for future matches.

[1590] The server compares the user's desired conversation time, location, and topic information with other user information stored in its data storage. An algorithm based on a generative AI model is used here to search for matching candidates. As a result of the comparison, the top five matching candidates are selected and sent to the user's device as a recommended candidate list. The user reviews this list and selects the candidate they most want to talk to. The device then sends the user's selection information to the server, which then matches the mutually selected users. Once a match is made, the user is notified of details of the specified meeting time and location.

[1591] To start a conversation, the user presses the start button on the device. At the same time, the emotion engine starts up and analyzes the user's facial expressions and voice in real time. The emotion engine collects and analyzes the user's emotional data and identifies whether the emotional state is good or problematic. After a certain amount of time has passed since the start of the conversation, the device sounds an alarm to notify the end of the conversation, and after the conversation ends, the analysis results by the emotion engine are saved in data storage. This will be used to improve the matching algorithm in the future.

[1592] Another important feature is the reuse restriction. After a conversation ends, the server retrieves GPS information to check whether the users are still nearby. Based on this, the server updates the records to prevent the same users from matching again.

[1593] Specific examples

[1594] For example, if User A and User B turn on the "Meet Someone" mode and each select "Tea at a cafe at the station at 6:00 PM," the server will use this information to select the best match using a generative AI model. If User A selects User B and User B selects User A, the server will notify them of the details of "Meet at a cafe at the station at 6:00 PM." Once the conversation begins, the emotion engine analyzes the emotions of both parties in real time and provides feedback as needed. An alarm will sound after 20 minutes, and the system will be forced to end after 60 minutes. The server will check GPS information and restrict reuse if the users are still within close proximity.

[1595] Prompt Sentence Examples

[1596] Use the following natural language processing task to generate a system flow that allows users to enjoy a quick and safe conversation. Please create a description based on the following steps: user registration, setting the desired conversation time and location, matching with AI, specifying the time and location, conducting the conversation and managing the time limit, feedback and storage of emotional data, and managing reuse restrictions. Please also include specific use cases.

[1597] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1598] Step 1: Registering a user

[1599] User: Open the application and click the "Register a new account" button. Enter your name, age, gender, and email address, then click the Register button.

[1600] Input: Name, age, gender, email address

[1601] Output: Account registration request

[1602] Terminal: Sends the entered user information to the server.

[1603] Input: User input information

[1604] Output: Request sent to server

[1605] Server: Stores the received user information in data storage, generates a unique anonymous ID, and sends it back to the user's device, notifying them that the account registration was successful.

[1606] Input: User information

[1607] Data processing: storing user information in a database, generating a unique anonymous ID

[1608] Output: Anonymous ID, account registration success notification

[1609] Step 2: Set the desired time and location for the conversation

[1610] User: Turn on the "Meet Someone" mode within the application and enter the desired time, location, and topic of conversation.

[1611] Input: desired time, desired location, desired topic

[1612] Output: Conversation preference information

[1613] Terminal: Sends the entered conversation preference information to the server.

[1614] Input: User settings information

[1615] Output: Request sent to server

[1616] Server: Stores the received information in data storage.

[1617] Input: desired time, desired location, desired topic

[1618] Data processing: Save conversation preference information in a database

[1619] Output: Information saving completion notification

[1620] Step 3: AI matching

[1621] Server: Based on the user's desired conversation time, location, and topic information, the server matches the information of other users in the data storage. It uses a generative AI algorithm to search for matching candidates. It then selects the top five matching candidates.

[1622] Input: desired time, desired location, desired topic

[1623] Data calculation: candidate search, matching by generative AI algorithm

[1624] Output: A list of possible matches

[1625] On the device: The recommendation list sent from the server is displayed to the user.

[1626] Input: Match candidate list

[1627] Output: Display of recommendation candidate list

[1628] User: Select a name from the list of candidates and press the select button.

[1629] Input: Selected candidate

[1630] Output: Candidate selection information

[1631] Terminal: Sends the selection information to the server.

[1632] Input: Selection information

[1633] Output: Send to server

[1634] Server: Matches mutually selected users, generates detailed information, and notifies users.

[1635] Input: Selection information of both users

[1636] Data processing: Matching and detailed information generation

[1637] Output: Meeting details notification

[1638] Step 4: Specify the time and location

[1639] Server: Sends the specified meeting time and location details (e.g., cafe name, address, reservation time) to matched users.

[1640] Input: Meeting time, location, details

[1641] Output: Meeting details notification

[1642] Device: Receives notifications and displays meeting details to the user, along with a confirmation button for more information.

[1643] Input: Meeting details

[1644] Output: Display detailed information, display confirmation button

[1645] User: Check the details and press the confirmation button.

[1646] Input: Confirm, press button

[1647] Output: Confirmation information

[1648] Step 5: Conducting the conversation and managing the time

[1649] User: Presses the start button in the application when starting a conversation at the actual meeting location.

[1650] Input: Press the Start button

[1651] Output: Conversation start notification

[1652] Device: Upon launch, the emotion engine is activated and analyzes the user's facial expressions and voice in real time.

[1653] Input: Conversation start notification

[1654] Data calculation: Emotion engine activation, real-time analysis

[1655] Output: Emotion data

[1656] Emotion Engine: Collects and analyzes the user's emotional data during a conversation to identify positive or negative emotional states.

[1657] Input: User's facial expressions, voice

[1658] Data Computing: Sentiment Data Analysis

[1659] Output: Analysis results

[1660] Device: An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is over. The alarm will sound every 10 minutes thereafter, and when the total time reaches 60 minutes, a forced termination alarm will sound.

[1661] Input: Timer

[1662] Output: Alarm, termination notification

[1663] Step 6: Feedback and storage of emotion data

[1664] Emotion engine: Provides real-time feedback to the conversation partner based on the user's perceived emotions, for example, displaying encouraging messages if the emotional state is negative.

[1665] Input: Analysis results

[1666] Output: Feedback message

[1667] Server: The analysis results of the emotion engine are stored in data storage and used to improve the matching algorithm in the future.

[1668] Input: Analysis results

[1669] Data processing: data storage, algorithm improvement

[1670] Output: Save completion notification

[1671] Step 7: Manage Reuse Limits

[1672] Server: After the conversation ends, get GPS information to see if the user is still nearby. If so, update data storage to enforce reuse restrictions. Update records to prevent the same users from matching again.

[1673] Input: GPS information

[1674] Data calculation: distance determination, data storage update

[1675] Output: Reuse restriction applied notification

[1676] Device: Display a non-reusable notification to the user.

[1677] Input: Reuse Restriction Applicable Notice

[1678] Output: Display of non-reusable notification

[1679] (Application example 2)

[1680] 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."

[1681] In today's stores, it is difficult to quickly assign the right staff member to a customer, especially for new or first-time customers. There is also a lack of support to ensure smooth interactions between customers and staff. This results in lower store efficiency and lower customer satisfaction. Furthermore, there is no system in place to analyze customer sentiment in real time and provide appropriate feedback, meaning the quality of conversations cannot be guaranteed.

[1682] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this information in a database, means for selecting matching candidates with other users using an AI algorithm based on the stored information, means for notifying users who have been matched of detailed information on the specified meeting time and location, and means for analyzing the user's emotions in real time during the conversation using an emotion recognition engine and providing feedback based on the analysis. This enables customers and staff to be matched quickly and appropriately, and furthermore, analyzing emotions in real time and providing feedback can improve the quality of service.

[1683] "User" refers to an individual who uses the system to provide information on the desired time and location for a conversation and receives matching services.

[1684] "Desired conversation time" refers to the specific time a user desires to have a conversation with another user.

[1685] "Desired conversation location" refers to the specific location where a user wishes to have a conversation with another user.

[1686] "Database" refers to a storage device or system that stores information received from users and is used for selection by a matching algorithm.

[1687] "Matching candidates" refer to other users selected by the AI ​​algorithm based on the user's desired conversation time and location.

[1688] "AI algorithm" refers to an artificial intelligence algorithm used to select the best match candidates based on the user's desired information.

[1689] "Specified Meeting Time" means a specific time designated by the system for a User to converse with another User.

[1690] "Designated Meeting Place" means a specific location designated by the system for a User to converse with other Users.

[1691] An "emotion recognition engine" refers to a system or software that analyzes a user's facial expressions and voice in real time to recognize their emotional state.

[1692] "Real-time" refers to the instantaneous processing and analysis of data.

[1693] "Feedback" refers to information and advice provided to users based on the analysis results of the emotion recognition engine.

[1694] The system based on this invention allows users to have a comfortable consultation and shopping experience in a physical store. The configuration and operation of this system are described in detail below.

[1695] System configuration:

[1696] 1. User Device:

[1697] A user terminal may be a smartphone, smart glasses, or other mobile device, and is hardware for running applications.

[1698] For example, smartphones are assumed to run on Android OS or iOS, and smart glasses refer to devices such as Google Glass and Microsoft HoloLens.

[1699] 2. Server:

[1700] The server is a system for storing user information, performing matching processing, conversation management, and managing the operation of the emotion recognition engine.

[1701] The main software used is Firebase for the database system, TensorFlow for the AI ​​algorithm, and OpenCV for emotion recognition.

[1702] 3. Emotion Recognition Engine:

[1703] This system analyzes the user's facial expressions and voice in real time to recognize their emotions.

[1704] Analyze the user's emotional state using TensorFlow and OpenCV.

[1705] System behavior:

[1706] 1. User Registration:

[1707] The user opens the application, enters the required information, and registers. The registration information is sent to the server, and an anonymous ID is generated. This ID is then sent to the user.

[1708] 2. Conversation preferences:

[1709] Through the application, users input the desired time and location for the conversation, as well as the topic they wish to discuss. This information is sent to the server and stored in a database.

[1710] 3. Matching process:

[1711] The server matches users with other users based on the conversation preferences stored in the app, using an AI algorithm to select the most suitable match and notify the user.

[1712] 4. Conversation initiation and sentiment analysis:

[1713] When a user initiates a conversation at a designated time and place, the emotion recognition engine is activated, analyzing the user's facial expressions and voice in real time to obtain emotional data, and providing feedback to the user as needed.

[1714] 5. Ending the conversation and saving data:

[1715] Once the conversation is over, the emotion engine's analytical data is stored on the server and used to improve the customer experience in the future.

[1716] Examples:

[1717] For example, if User A wants to consult about a specific product using smart glasses in a store, he or she inputs the consultation content and desired time through the application. Based on this, the server searches for an appropriate staff member and matches User A with Staff B. When User A starts a conversation with Staff B at the designated location, the emotion recognition engine analyzes facial expressions and voice in real time and provides feedback to the staff member as needed. After the conversation ends, the emotion data is stored in a database and used to improve services in the future.

[1718] Example prompt sentence:

[1719] ShopAssist: A physical store guide app equipped with an emotion recognition engine, it analyzes customers' emotions in real time and provides feedback to staff during consultations. When a customer starts a consultation at a specified time and place, if the emotion engine detects negative emotions, it displays an encouraging message on the display and provides appropriate advice to staff. It also has a time management function to ensure that conversations are completed within a reasonable time frame.

[1720] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1721] Step 1:

[1722] A user opens the application, enters the required information (name, age, gender, email address) and registers a new account.

[1723] Input: User's basic information (name, age, gender, email address)

[1724] Processing: The device sends the user's input data to the server, which stores the received information in a database and generates a unique anonymous ID that is sent back to the user's device.

[1725] Output: An anonymous ID and a notification of successful registration are displayed on the user's device.

[1726] Step 2:

[1727] The user inputs the desired time, location, and topic of the conversation into the application.

[1728] Input: desired time, desired location, topic

[1729] Processing: The terminal sends the entered information to the server, which stores the received data in a database.

[1730] Output: The saved information of desired conversation time, desired conversation location, and desired topic is kept in the database.

[1731] Step 3:

[1732] The server uses the stored information to select potential matches using an AI algorithm.

[1733] Input: Conversation preference information stored in the database

[1734] Processing: Using an AI algorithm (TensorFlow), the best matching candidates that meet the user's desired conditions are selected.

[1735] Output: A list of the top 5 potential matches is generated and sent to the user's device.

[1736] Step 4:

[1737] The user selects one person from the list of match candidates and presses the select button.

[1738] Input: User ID selected from list of match candidates

[1739] Processing: The device sends the selection information to the server, which matches the selected users and generates details of the specified meeting time and location.

[1740] Output: Meeting time and location details are displayed on the user's device.

[1741] Step 5:

[1742] The user starts the conversation at the designated meeting time and place and presses the start button on the device, which activates the emotion recognition engine.

[1743] Input: Tap the conversation start button, and the user's real-time facial and voice data

[1744] Processing: The emotion recognition engine (OpenCV) analyzes the user's facial expressions and voice in real time to generate emotional data, and provides real-time feedback such as encouraging messages as needed.

[1745] Output: The analyzed emotion data and feedback are displayed on the user's device.

[1746] Step 6:

[1747] After a certain time has passed since the conversation began, the device will sound an alarm to notify you that the conversation has ended.

[1748] Input: Time elapsed since the start of the conversation

[1749] Action: When the specified time (20 minutes and 60 minutes) is reached, the device will sound an alarm to notify the user.

[1750] Output: The user is notified of the termination alarm.

[1751] Step 7:

[1752] After the conversation ends, emotional data is stored on the server and used to improve the service in the future.

[1753] Input: Emotion data after termination, and conversation end notification

[1754] Processing: The server stores the emotion engine analysis results in a database.

[1755] Output: Stored emotion data and a dataset that will be used to improve the matching algorithm in the future.

[1756] Step 8:

[1757] The server uses GPS information to determine if the user has traveled outside a certain range and manages reuse restrictions.

[1758] Input: GPS information after completion

[1759] Processing: The server analyzes the GPS data and updates the database to enforce reuse restrictions if users are in close proximity.

[1760] Output: A notice of non-reusability is displayed on the user's device, and the reuse restriction information is saved in the database.

[1761] 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.

[1762] 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.

[1763] 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.

[1764] [Fourth embodiment]

[1765] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1766] 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.

[1767] 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).

[1768] 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.

[1769] 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.

[1770] 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).

[1771] 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.

[1772] 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.

[1773] 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.

[1774] 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.

[1775] 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.

[1776] 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.

[1777] 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."

[1778] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. The system mainly has functions for user registration, setting desired conversation conditions, AI matching, conducting conversations, and managing reuse restrictions. The specific processing of this system is as follows.

[1779] User registration

[1780] user

[1781] The user opens the application and accesses the new account registration screen. They enter basic information such as their name, age, gender, and email address, and click the registration button.

[1782] Terminal

[1783] The information entered by the user is sent to the server.

[1784] server

[1785] The received user information is stored in a database, a unique anonymous ID is issued to the user, and this is returned to the client (user device). The user is notified that the account registration was successful.

[1786] Setting the desired time and place for the conversation

[1787] user

[1788] Turn on the "Meet Someone" mode in the application and enter the desired time to meet, desired location (station name), location (cafe or landmark), and topic you want to talk about.

[1789] Terminal

[1790] This information is collected and sent to the server.

[1791] server

[1792] The information received is stored in a database and used to match you with other users.

[1793] AI-based matching

[1794] server

[1795] Based on the user's desired conversation time and location, the information is compared with other user information in the database, and matching candidates are selected using an AI algorithm.

[1796] The top five selected match candidates are sent to the user's device.

[1797] Terminal

[1798] Present a list of recommendations to the user.

[1799] user

[1800] Select one from the displayed candidates.

[1801] Terminal

[1802] The selection information is sent to the server.

[1803] server

[1804] It matches mutually selected users and generates detailed information.

[1805] Specify time and place

[1806] server

[1807] Once a match is made, the AI ​​will notify the user of the meeting time and location details (e.g., cafe name, address, reservation time) specified by the AI.

[1808] Terminal

[1809] Receive notifications and display them to users, and also display a confirmation button to users for meeting details.

[1810] user

[1811] Check the detailed information and press the confirm button.

[1812] Conversation and time management

[1813] Terminal

[1814] When a user presses the start button to start a conversation at the actual meeting place, a timer will start, and an alarm will sound 20 minutes after the conversation has started to notify the end.

[1815] After that, an alarm will sound every 10 minutes to prompt the user to end the conversation, and when the total time reaches 60 minutes, an alarm will sound to force the end of the conversation.

[1816] server

[1817] Confirm that the conversation has ended and record the end time.

[1818] Managing Reuse Limits

[1819] server

[1820] After the conversation ends, the system retrieves GPS information and checks whether the person is within a specified time frame to see if they are within a certain distance. If they are, future use of the service will be temporarily restricted.

[1821] Update the database to prevent the same users from being matched again.

[1822] Terminal

[1823] Display a non-reusable notice to the user.

[1824] Specific examples

[1825] For example, if user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 18:00," the server will use AI to select the best match based on this. If user A selects user B and user B selects user A, the server will notify them of the details: "Meet at Starbucks in Shibuya at 18:00." An alarm will sound 20 minutes after the conversation begins, and the conversation will be forced to end after 60 minutes. As for reuse restrictions, after the conversation ends, GPS information is checked, and if the two users are still in close proximity, the next use of the service will be suspended.

[1826] In this way, the present invention allows users to enjoy short, safe, and purposeless conversations.

[1827] The processing flow will be explained below.

[1828] Step 1:

[1829] User: Opens the application and accesses the screen for registering a new account. Enters name, age, gender, and email address and clicks the Register button.

[1830] Step 2:

[1831] Terminal: Sends the information entered by the user to the server.

[1832] Step 3:

[1833] Server: Stores the received user information in a database. Generates a unique anonymous ID and sends this ID back to the user's device.

[1834] Step 4:

[1835] User: Check the notification that account registration is complete and turn on "Meet Someone" mode.

[1836] Step 5:

[1837] User: Enter the desired time for the conversation, the desired location (station name), the location (cafe or landmark), and the topic you want to talk about, then press the Settings button.

[1838] Step 6:

[1839] Terminal: Sends the configured information to the server.

[1840] Step 7:

[1841] Server: Stores the received information in a database and prepares it for matching with other users.

[1842] Step 8:

[1843] Server: Based on the user's desired time and location for the conversation, the AI ​​algorithm searches for matching users in the database.

[1844] Step 9:

[1845] Server: Selects the top five match candidates and sends the list to the user's device.

[1846] Step 10:

[1847] Device: Show the user a list of recommendations.

[1848] Step 11:

[1849] User: Select one of the displayed candidates and press the select button.

[1850] Step 12:

[1851] Device: Sends the user's selection information to the server.

[1852] Step 13:

[1853] Server: If both users are selected, the match is established and both users are notified.

[1854] Step 14:

[1855] Server: Sends the specified meeting time and location details (e.g., cafe name, address, reservation time) to matched users.

[1856] Step 15:

[1857] Device: Receives notification and displays meeting details to the user, along with a button to confirm the details.

[1858] Step 16:

[1859] User: Check the details and press the confirmation button.

[1860] Step 17:

[1861] User: Arrive at the designated meeting place and time and press the start button within the app.

[1862] Step 18:

[1863] Device: When the conversation start button is pressed, a timer starts. An alarm sounds after 20 minutes to notify the end of the conversation.

[1864] Step 19:

[1865] Terminal: The alarm will sound every 10 minutes thereafter, and after a total of 60 minutes the forced shutdown alarm will sound.

[1866] Step 20:

[1867] Server: After the conversation ends, get GPS information to see if the user is still nearby. If so, update the database to enforce reuse restrictions.

[1868] Step 21:

[1869] Server: Stores a record of reuse restrictions in a database to prevent the same user from using the service again.

[1870] Step 22:

[1871] Device: Display a non-reusable notification to the user.

[1872] Through the above process, the system of the present invention allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information.

[1873] Example 1

[1874] 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."

[1875] In conventional chat systems, it was difficult for users to safely enjoy short conversations with other users while maintaining their anonymity. Furthermore, management of desired conversation conditions and reuse restrictions was insufficient, and safety and convenience for users were not adequately ensured. This could result in a decrease in user satisfaction and a decrease in the frequency of system use.

[1876] 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.

[1877] In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this information in a database, means for selecting match candidates with other users based on the stored information using an AI algorithm, means for notifying matched users of detailed information on the specified meeting time and location, means for sounding an alarm a certain time after the start of the conversation to notify them of the end of the conversation, means for using GPS information to restrict reuse when the user moves outside a certain range, means for registering the user's basic information and issuing a unique anonymous ID, means for sending a notification to the user after registration, means for validating the desired conversation conditions and displaying an error if they are invalid, means for sending information on match candidates selected by the user to the server, means for starting a timer when the user presses the start conversation button, means for sounding an alarm at certain intervals to prompt the user to end the conversation, and means for notifying the server of the end of the conversation and recording the end time.This enables users to enjoy conversations with other users safely in a short amount of time while maintaining their anonymity.

[1878] "User" refers to a user who accesses the system and provides information on the desired time and location for conversation.

[1879] "Desired conversation time" is information indicating the conversation start time desired by the user.

[1880] "Preference place for conversation" is information that indicates details of the place where the user wishes to have a conversation (e.g., station name, cafe, landmark).

[1881] The "database" is an information management system for storing various user information, including desired conversation time and desired conversation location.

[1882] An "AI algorithm" is a program that selects matching candidates based on stored information and uses machine learning technology.

[1883] "Matching candidates" are a group of other users selected based on the user's desired conversation time and desired conversation location information.

[1884] "Meeting time" is the time when the matched users plan to actually meet.

[1885] "Detailed information" refers to information including specific details of the meeting time and location (e.g., the name of the cafe, address, and reservation time).

[1886] An "alarm" is an audio or visual notification that notifies the user when a conversation begins or ends.

[1887] "GPS information" is geographical information used to identify a user's current location.

[1888] "Restrict reuse" is a function that temporarily restricts a user's next use of the service if they go outside a specific range.

[1889] A "unique anonymous ID" is a unique identifier issued at the time of user registration that is different from other users.

[1890] "Validation" is the process of checking whether the desired conversation conditions entered by the user are valid and displaying an error if they are invalid.

[1891] The "timer" is a function that measures the time from the start to the end of a conversation and sounds an alarm after a certain amount of time has passed.

[1892] "End time" is information indicating the time when the conversation ended.

[1893] MODE FOR CARRYING OUT THE INVENTION

[1894] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. The system mainly has functions for user registration, setting desired conversation conditions, matching by AI, conducting conversations, and managing reuse restrictions.

[1895] User registration

[1896] User

[1897] The user opens the application and accesses the new account registration screen. They enter basic information such as their name, age, gender, and email address, and click the registration button.

[1898] Terminal

[1899] The input information is converted into JSON format and sent to the server using the HTTPS protocol.

[1900] server

[1901] The received user information is validated and stored in an RDBMS such as MySQL, and a unique anonymous ID is issued for the new user and returned to the client, where it is temporarily stored in the user object.

[1902] Terminal

[1903] A response is received from the server and a popup notification is displayed to the user indicating that registration was successful.

[1904] Setting the desired time and place for the conversation

[1905] User

[1906] Turn on the "Meet Someone" mode in the app. Enter the desired time, location (station name), cafe or landmark, and topic of conversation in the fields that appear on the screen.

[1907] Terminal

[1908] The entered information is sent to the server in JSON format. At the same time, a validation function is implemented to display an error if the conditions are invalid.

[1909] server

[1910] The desired conversation conditions received are saved in a database and used to match with other users.

[1911] AI-based matching

[1912] server

[1913] The system extracts the user's desired conversation conditions from the database, and uses an AI algorithm (e.g., TensorFlow) to select other users who can be matched. It then lists the top five candidates.

[1914] server

[1915] The top five selected matching candidates are sent to the user's device in JSON format.

[1916] Terminal

[1917] The list of received matching candidates is displayed on the screen.

[1918] User

[1919] Select one of the candidates displayed and click the "Select" button.

[1920] Terminal

[1921] The selected information is sent to the server.

[1922] server

[1923] The system confirms the match between the mutually selected users and generates detailed information (meeting time and location details).

[1924] Specify time and place

[1925] server

[1926] For users who have been matched, the AI ​​creates information on the meeting time and location details (e.g., cafe name, address, reservation time) specified by the user.

[1927] server

[1928] The created meeting details information is notified to the user terminal.

[1929] Terminal

[1930] The received meeting details are displayed to the user, and a confirmation button is displayed on the screen.

[1931] User

[1932] Check the displayed details and press the "Confirm" button.

[1933] Conversation and time management

[1934] User

[1935] When you want to actually start the conversation at the meeting place, press the "Start" button.

[1936] Terminal

[1937] When the "Start" button is pressed, an internal timer will start, and an alarm will sound 20 minutes after the conversation begins to signal the end.

[1938] Terminal

[1939] After that, an alarm will sound every 10 minutes to prompt the conversation to end. When the total time reaches 60 minutes, an alarm will sound to force the conversation to end.

[1940] server

[1941] Once the conversation has ended, the end time is recorded in the database.

[1942] Managing Reuse Limits

[1943] server

[1944] After the conversation ends, the system retrieves the user's GPS information and checks whether they are within a specified time frame.

[1945] server

[1946] If users are in close proximity, the service will temporarily restrict future use of the service, and the database will be updated to prevent the same users from being matched again.

[1947] Terminal

[1948] Display a non-reusable notice to the user.

[1949] Specific examples

[1950] For example, suppose that user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 18:00." The server uses AI based on this to select the best match candidate, and if user A selects user B and user B selects user A, the server notifies both users with the details "Meet at a cafe in Shibuya at 18:00." A conversation begins, and an alarm sounds 20 minutes later, and the conversation is forced to end after 60 minutes. As a reuse restriction, GPS information is checked after the conversation ends, and if the two users are still within close proximity, the next use of the service is suspended.

[1951] Prompt Sentence Examples

[1952] "Suggest casual conversation topics, such as hobbies, a recent book you read, or a favorite movie."

[1953] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1954] Step 1:

[1955] New user registration

[1956] A user opens the application and accesses the new registration screen. They enter basic information such as name, age, gender, and email address, and click the Register button. At this time, the input information, name, age, gender, and email address, are obtained.

[1957] The terminal converts this information into JSON format and sends it to the server using the HTTPS protocol.

[1958] The server verifies the received user information and stores it in an RDBMS such as MySQL. At the same time, it issues a unique anonymous ID to the new user and returns it to the terminal. At this time, the input information is the user's basic information and the output is the generated unique anonymous ID.

[1959] The device receives the response from the server and displays a pop-up notification to the user that the registration was successful.

[1960] Step 2:

[1961] Setting the desired time and place for the conversation

[1962] The user turns on the "Meet Someone" mode in the application and inputs the desired time to talk, the desired location (station name), the location (cafe or landmark), and the topic they want to talk about. The input information is the desired time to talk, the desired location, the location, and the topic they want to talk about.

[1963] The terminal sends this information to the server in JSON format. It also validates the input data and displays an error if it is invalid.

[1964] The server stores the received conversational requirements in a database. The input information is the conversational requirements, and the output is the records stored in the database.

[1965] Step 3:

[1966] AI-based matching

[1967] The server retrieves the user's desired conversation conditions from the database and selects other users who can be matched using an AI algorithm (e.g., TensorFlow). Here, the input information is the user's desired conversation conditions, and the output is a list of matching candidates.

[1968] The server sends the top five selected match candidates to the user's terminal in JSON format. The input information is a list of match candidates, and the output is JSON format data.

[1969] The terminal displays the received list of matching candidates on the screen. The output is a screen display of the candidate list.

[1970] The user selects one of the displayed candidates and clicks the "Select" button. The input information is the selected candidate ID.

[1971] The terminal sends the selected information to the server. The input is the selected candidate ID and the output is sending execution.

[1972] The server determines the match between mutually selected users and generates details (meeting time and location details). The input is the selection information and the output is the generated details.

[1973] Step 4:

[1974] Specify time and place

[1975] For users who have been matched, the server creates detailed information about the meeting time and location specified by the AI ​​(e.g., cafe name, address, reservation time) and notifies the user in JSON format. The input information is the confirmed match information, and the output is a notification of the detailed information.

[1976] The terminal displays the received meeting details to the user and displays a confirmation button on the screen. The input is the detailed information, and the output is the display of the detailed information and the installation of the confirmation button.

[1977] The user checks the displayed detailed information and presses the "Confirm" button. The input information is the detailed information and the output is pressing the confirm button.

[1978] Step 5:

[1979] Conversation and time management

[1980] When a user actually starts a conversation at a meeting place, he or she presses a "Start" button. The input information is the user's operation and the output is the start signal.

[1981] When the "Start" button is pressed, the terminal starts an internal timer. 20 minutes after the conversation starts, an alarm sounds to notify the end of the conversation. The input information is the start signal, and the output is the alarm setting.

[1982] The device will then sound an alarm every 10 minutes to prompt the user to end the conversation. When the total time reaches 60 minutes, the device will automatically sound an end alarm. The input information is the elapsed time, and the output is an alarm notification.

[1983] When the server confirms the end of the conversation, it records the end time in the database. The input information is the end signal, and the output is a record of the end time.

[1984] Step 6:

[1985] Managing Reuse Limits

[1986] After the conversation ends, the server obtains the user's GPS information and checks whether they are in close proximity within the specified time. The input information is GPS information, and the output is confirmation of close proximity.

[1987] If the server is in close proximity, it will temporarily restrict future use of the service. It also updates the database to prevent the same users from matching again. The input information is the confirmation result, and the output is the setting of the reuse limit and the database update.

[1988] The device will display a no-reuse notification to the user. The input is the reuse restriction setting and the output is the notification display.

[1989] (Application example 1)

[1990] 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."

[1991] Current online communication platforms have problems, such as the need for users to disclose personal information and the difficulty of maintaining anonymous, short-term conversations. Furthermore, while new forms of communication are needed in virtual spaces, there is a lack of systems that can meet these needs. Furthermore, providing topics based on the content of conversations and improving matching accuracy are also issues. A new system is needed to solve these problems.

[1992] 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.

[1993] In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this in a database, means for selecting match candidates with other users based on the stored information using an AI algorithm, means for notifying matched users of detailed information on the specified meeting time and location, means for sounding an alarm a certain amount of time after the start of the conversation to notify the end of the conversation, means for using GPS information to restrict reuse if the user moves outside a specific range, means for anonymously conversing with other users in a virtual space, means for setting the desired conversation time and virtual store and performing matching using AI, and means for using a generative AI model to provide prompts based on the content of the conversation. This allows users to safely and efficiently enjoy short-term conversations with other users in a virtual space without disclosing their personal information.

[1994] A "user" is an individual who uses the system to set desired conversation conditions and engage in conversations with other users.

[1995] "Desired conversation time" is information indicating the time a user desires to have a conversation with another user.

[1996] The "desired conversation location" is information indicating a physical or virtual location where a user desires to have a conversation with another user.

[1997] "Database" means an information management device within the system for storing users' desired time and location for conversation, and other related information.

[1998] "Matching candidates" is a list of other users who meet the user's desired conversation criteria.

[1999] The "AI algorithm" is an artificial intelligence program that selects the best matching candidates based on the user's desired conversation conditions.

[2000] The "specified meeting time and location" refers to the specific start time and location of the conversation that will be notified to the user after AI matching.

[2001] An "alarm" is a warning sound or notification that notifies you that a certain amount of time has passed since the start of a conversation.

[2002] "GPS Information" means User's location information obtained by the Global Positioning System.

[2003] "Virtual space" is a virtual environment on the Internet constructed using digital technology.

[2004] "Anonymous conversation" means that a user can have a conversation with another user without disclosing their personal information.

[2005] A "virtual store" is a virtual store or location that exists in a virtual space.

[2006] A "generative AI model" is an artificial intelligence program that automatically generates conversation content and themes based on specific input.

[2007] A "prompt" is text that a generative AI model provides to a user indicating the topic or theme of the conversation.

[2008] The present invention provides a system that allows users to enjoy safe and anonymous conversations with other users in a short time without disclosing personal information. A system for implementing the present invention will be described in detail below.

[2009] User Registration

[2010] Users register an account by entering basic information such as their name, age, and email address. The entered information is sent to the server via the device, which stores it in a database and issues the user a unique anonymous ID. This anonymous ID can be used to log in from the next time onwards.

[2011] Setting conversation preferences

[2012] Within the application, users input the desired time for the conversation, the desired location (physical or virtual), and the topic they wish to discuss. This information is then sent from the device to the server and stored in a database.

[2013] AI-based matching

[2014] The server uses an AI algorithm to select suitable matchmaking candidates based on the user's desired time and location for the conversation, and then uses the stored information to select the five most suitable matchmaking candidates and notify the user's device.

[2015] Conducting a conversation

[2016] Once a user selects one of the match candidates, the selection information is sent back to the server. The server then matches the selected users and notifies them of the specified conversation time and location. The users then begin a conversation anonymously in a virtual store in a virtual space.

[2017] Conversation alarm function

[2018] The device will sound an alarm 20 minutes after the conversation starts to notify you that the conversation has ended, and will continue to sound an alarm every 10 minutes thereafter, for a total of 60 minutes before the conversation is forced to end.

[2019] Reuse restrictions using GPS information

[2020] After the conversation ends, the server retrieves the user's GPS information to check whether they have moved outside a certain range, limiting re-matching between the same users.

[2021] Leveraging generative AI models

[2022] Using a generative AI model, the system provides prompts based on the user's conversation, which smooth the flow of the conversation and create an environment where the user feels comfortable speaking.

[2023] Specific examples

[2024] For example, if User A sets a date to "talk about technology at a virtual cafe at 18:00" and User B sets the same date, the AI ​​algorithm will match the two and notify them of the "conversation at a virtual cafe at 18:00." When the conversation begins, the generative AI model will provide a prompt such as "What do you think about the latest technology trends?", encouraging a natural conversation start.

[2025] Prompt Sentence Examples

[2026] What do you think about the latest technology trends?

[2027] What is your favorite gadget?

[2028] Have you read any interesting articles or news recently?

[2029] In this way, the system of the present invention allows users to safely and efficiently enjoy short-term conversations with other users without disclosing personal information.

[2030] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[2031] Step 1:

[2032] The user accesses the new account registration screen and enters basic information such as name, age, and email address. This is used as input data and the device sends the entered information to the server. The server stores the received user information in a database, generates a unique anonymous ID, and returns it to the client (user device). The user receives the anonymous ID and uses it for future logins.

[2033] Step 2:

[2034] The user inputs the desired time for the conversation, the desired location (physical location or virtual store), and the topic they wish to discuss within the application. This information is then sent by the device to the server, which then stores the received information in a database.

[2035] Step 3:

[2036] The server selects potential matches with other users based on the user's desired conversation time, location, and topic information stored in the database. This step uses an AI algorithm. The server then sends the top five selected match candidates to the user's device as output data.

[2037] Step 4:

[2038] The user selects one person from a list of match candidates displayed on the device. This selection information is sent as input data to the server, which then matches the mutually selected users and generates detailed information.

[2039] Step 5:

[2040] The server notifies the matched user of the specified meeting time and location details. The device receives this notification as output data and displays it to the user. The user checks the meeting details and presses the confirmation button.

[2041] Step 6:

[2042] When a conversation begins, the user presses the "Start" button on the device. Based on this input data, the device starts a timer and sounds an alarm after a certain time (20 minutes). This notifies the user that the conversation has ended. The alarm continues to sound every 10 minutes thereafter, and after a total of 60 minutes has elapsed, the device will forcibly output an end alarm.

[2043] Step 7:

[2044] After the conversation ends, the server receives GPS information from the device to determine if it has left a certain range. This updates the database to prevent the same users from being matched again. This updated data acts as a reuse restriction for future matches.

[2045] Step 8:

[2046] Using the generative AI model, the server generates prompts based on the conversation content and sends them to the device. The device then displays the prompts to the user, helping to facilitate smooth conversation. For example, a prompt might be, "What do you think about the latest technology trends?"

[2047] 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.

[2048] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and performs matching and feedback based on those emotions. The specific processing of this system is as follows.

[2049] User registration

[2050] user

[2051] Open the application and access the screen for registering a new account. Enter your name, age, gender, and email address, then click the Register button.

[2052] Terminal

[2053] The information entered by the user is sent to the server.

[2054] server

[2055] The received user information is stored in a database, a unique anonymous ID is generated, and this is sent back to the user's device, and the user is notified that the account registration was successful.

[2056] Setting the desired time and place for the conversation

[2057] user

[2058] Turn on the "Meet Someone" mode in the application and enter the desired time for the conversation, the desired location (station name), the location of the conversation (cafe or landmark), and the topic you want to talk about.

[2059] Terminal

[2060] This information is collected and sent to the server.

[2061] server

[2062] The information received is stored in a database and used to match you with other users.

[2063] AI-based matching

[2064] server

[2065] Based on the user's desired conversation time and location, the system compares this with other user information in the database and uses an AI algorithm to search for matching candidates.

[2066] The top five selected match candidates are sent to the user's device.

[2067] Terminal

[2068] Present a list of recommended candidates to the user.

[2069] user

[2070] Select one of the displayed candidates and press the select button.

[2071] Terminal

[2072] The selection information is sent to the server.

[2073] server

[2074] It matches mutually selected users and generates detailed information.

[2075] Specify time and place

[2076] server

[2077] Once a match is made, the AI ​​sends the user details of the meeting time and location (e.g., the name of the cafe, address, and reservation time) specified by the AI.

[2078] Terminal

[2079] Receive notifications and display meeting details to users, along with a button to confirm details.

[2080] user

[2081] Check the detailed information and press the confirm button.

[2082] Conversation and time management

[2083] Terminal

[2084] When a user presses the start button at the actual meeting place to start a conversation, the emotion engine is activated at the same time, and analyzes the user's emotions in real time based on their facial expressions and voice.

[2085] Emotion Engine

[2086] Collect and analyze the user's emotional data during the conversation to identify positive or negative emotional states.

[2087] Terminal

[2088] An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is over. After that, the alarm will sound every 10 minutes, and when the total time reaches 60 minutes, the alarm will sound to end the conversation.

[2089] Emotional data feedback and storage

[2090] Emotion Engine

[2091] It provides real-time feedback to the conversation partner based on the user's perceived emotions, for example, displaying encouraging messages if the emotional state is negative.

[2092] server

[2093] The analysis results from the emotion engine are stored in a database and used to improve the matching algorithm in the future.

[2094] Managing Reuse Limits

[2095] server

[2096] After the conversation ends, we retrieve GPS information to see if the user is still nearby, and if so, update our database to enforce reuse restrictions.

[2097] Update records to prevent the same users from matching again.

[2098] Terminal

[2099] Display a non-reusable notice to the user.

[2100] Specific examples

[2101] For example, if user A and user B turn on the "Meet Someone" mode and each select "Tea at a cafe in Shibuya at 6:00 PM," the server will use AI to select the best match based on this. If user A selects user B and user B selects user A, the server will notify them of the details of "Meet at a cafe in Shibuya at 6:00 PM." Once the conversation begins, the emotion engine analyzes the emotions of both parties in real time and provides feedback as needed. An alarm will sound after 20 minutes, and the system will be forced to end after 60 minutes. The server will check GPS information and restrict reuse if the users are still within close proximity.

[2102] In this way, the present invention not only allows users to enjoy short, safe, and purposeless conversations, but also improves the quality of the conversations through the emotion engine.

[2103] The processing flow will be explained below.

[2104] Step 1:

[2105] User: Opens the application and accesses the screen for registering a new account. Enters name, age, gender, and email address and clicks the Register button.

[2106] Step 2:

[2107] Terminal: Sends the information entered by the user to the server.

[2108] Step 3:

[2109] Server: Stores the received user information in a database, generates a unique anonymous ID, and sends it back to the user's device. Notifies the user that the account registration was successful.

[2110] Step 4:

[2111] User: Check the notification that account registration is complete and turn on "Meet Someone" mode.

[2112] Step 5:

[2113] User: Enter the desired time for the conversation, the desired location (station name), the location (cafe or landmark), and the topic you want to talk about, then press the Settings button.

[2114] Step 6:

[2115] Terminal: Sends the configured information to the server.

[2116] Step 7:

[2117] Server: Stores the received information in a database and prepares it for matching with other users.

[2118] Step 8:

[2119] Server: Based on the user's desired time and location for the conversation, the AI ​​algorithm searches for matching users in the database.

[2120] Step 9:

[2121] Server: Selects the top five match candidates and sends the list to the user's device.

[2122] Step 10:

[2123] Device: Show the user a list of recommendations.

[2124] Step 11:

[2125] User: Select one of the displayed candidates and press the select button.

[2126] Step 12:

[2127] Device: Sends the user's selection information to the server.

[2128] Step 13:

[2129] Server: Matches mutually selected users and generates detailed information.

[2130] Step 14:

[2131] Server: Sends the AI-specified meeting time and location details (e.g., cafe name, address, reservation time) to the matched user.

[2132] Step 15:

[2133] Device: Receives notification and displays meeting details to the user, along with a button to confirm the details.

[2134] Step 16:

[2135] User: Check the details and press the confirmation button.

[2136] Step 17:

[2137] User: Arrive at the designated meeting place and time and press the start button within the app.

[2138] Step 18:

[2139] Device: When the conversation start button is pressed, a timer starts. The emotion engine also starts, analyzing the user's emotions in real time based on their facial expressions and voice.

[2140] Step 19:

[2141] Emotion engine: Collects and analyzes the user's emotional data during conversation, identifies positive or negative emotional states, and sends the analysis results to the user's device.

[2142] Step 20:

[2143] Device: Displays the emotional state of the person during the conversation in real time and provides feedback as needed, for example, an encouraging message if the emotional state is negative.

[2144] Step 21:

[2145] Device: An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is ending. An alarm will sound every 10 minutes thereafter, and when the total time reaches 60 minutes, an alarm will sound to terminate the conversation.

[2146] Step 22:

[2147] Server: After the conversation ends, the analysis results from the emotion engine are stored in a database and used to improve the matching algorithm in the future.

[2148] Step 23:

[2149] Server: Gets GPS information and checks if the user is still nearby. If so, updates the database to enforce reuse restrictions. Updates records to prevent the same users from being matched again.

[2150] Step 24:

[2151] Device: Display a non-reusable notification to the user.

[2152] Through the above process, the system of the present invention allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, the use of an emotion engine improves the quality of the conversation, providing a better matching experience.

[2153] Example 2

[2154] 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."

[2155] Conventional online conversation matching systems have difficulty in ensuring the quality and safety of conversations, and do not adequately guarantee anonymity. Furthermore, they lack a system that can grasp users' emotional state in real time and provide appropriate feedback. This has led to problems such as the actual conversation not progressing smoothly and the inappropriate management of reuse between users.

[2156] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[2157] In this invention, the server includes means for receiving information from the user regarding the desired conversation time, desired conversation location, and desired conversation content, and storing this information in data storage, means for selecting match candidates with other users using a generative AI algorithm based on the stored information, and means for analyzing the user's emotional state in real time using an emotion engine. This makes it possible to provide a safe and high-quality conversation experience, and also to provide appropriate feedback based on the user's emotional state while maintaining anonymity.

[2158] "User" means an individual who registers and operates the application for the purpose of using the system to find conversation partners.

[2159] "Server" refers to the central computer system that receives information sent by users, stores it in data storage, and processes it using AI algorithms and emotion engines.

[2160] "Terminal" means a device operated by a user that has hardware and software for inputting and receiving information.

[2161] "Emotion engine" refers to the algorithms and software that analyze a user's facial expressions and voice to analyze and identify their emotional state in real time.

[2162] "Data storage" refers to a storage device installed within a server for storing user information, conversation preferences, emotional data, etc.

[2163] "AI algorithm" refers to a calculation method or technique for automatically generating matching candidates with other users based on the user's desired conversation information.

[2164] "Alarm" refers to a function that emits a sound or message to notify the user that a certain amount of time has passed in the conversation.

[2165] "GPS Information" refers to location information obtained using a satellite positioning system to identify a user's current location.

[2166] "Anonymous ID" refers to a unique identification number generated to protect the user's personal information.

[2167] This invention relates to a system that allows users to enjoy a one-time conversation with other users in a short time without disclosing personal information. Furthermore, it incorporates an emotion engine that recognizes the user's emotions and performs matching and feedback based on those emotions.

[2168] Specifically, the process begins with a user operating an application to register a new account. The user opens the application and enters required information such as name, age, gender, and email address. The device sends this information to the server, which then stores the received user information in data storage, generates a unique anonymous ID, and sends it back to the user's device. This completes the user's account registration.

[2169] Next, the user turns on the "Meet Someone" mode in the application and inputs the desired time to meet, the desired location (e.g., station name), the location (e.g., cafe or landmark), and the topic they want to discuss. The device collects this information and sends it to the server, which then stores it in its data storage. This information can then be used for future matches.

[2170] The server compares the user's desired conversation time, location, and topic information with other user information stored in its data storage. An algorithm based on a generative AI model is used here to search for matching candidates. As a result of the comparison, the top five matching candidates are selected and sent to the user's device as a recommended candidate list. The user reviews this list and selects the candidate they most want to talk to. The device then sends the user's selection information to the server, which then matches the mutually selected users. Once a match is made, the user is notified of details of the specified meeting time and location.

[2171] To start a conversation, the user presses the start button on the device. At the same time, the emotion engine starts up and analyzes the user's facial expressions and voice in real time. The emotion engine collects and analyzes the user's emotional data and identifies whether the emotional state is good or problematic. After a certain amount of time has passed since the start of the conversation, the device sounds an alarm to notify the end of the conversation, and after the conversation ends, the analysis results by the emotion engine are saved in data storage. This will be used to improve the matching algorithm in the future.

[2172] Another important feature is the reuse restriction. After a conversation ends, the server retrieves GPS information to check whether the users are still nearby. Based on this, the server updates the records to prevent the same users from matching again.

[2173] Specific examples

[2174] For example, if User A and User B turn on the "Meet Someone" mode and each select "Tea at a cafe at the station at 6:00 PM," the server will use this information to select the best match using a generative AI model. If User A selects User B and User B selects User A, the server will notify them of the details of "Meet at a cafe at the station at 6:00 PM." Once the conversation begins, the emotion engine analyzes the emotions of both parties in real time and provides feedback as needed. An alarm will sound after 20 minutes, and the system will be forced to end after 60 minutes. The server will check GPS information and restrict reuse if the users are still within close proximity.

[2175] Prompt Sentence Examples

[2176] Use the following natural language processing task to generate a system flow that allows users to enjoy a quick and safe conversation. Please create a description based on the following steps: user registration, setting the desired conversation time and location, matching with AI, specifying the time and location, conducting the conversation and managing the time limit, feedback and storage of emotional data, and managing reuse restrictions. Please also include specific use cases.

[2177] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2178] Step 1: Registering a user

[2179] User: Open the application and click the "Register a new account" button. Enter your name, age, gender, and email address, then click the Register button.

[2180] Input: Name, age, gender, email address

[2181] Output: Account registration request

[2182] Terminal: Sends the entered user information to the server.

[2183] Input: User input information

[2184] Output: Request sent to server

[2185] Server: Stores the received user information in data storage, generates a unique anonymous ID, and sends it back to the user's device, notifying them that the account registration was successful.

[2186] Input: User information

[2187] Data processing: storing user information in a database, generating a unique anonymous ID

[2188] Output: Anonymous ID, account registration success notification

[2189] Step 2: Set the desired time and location for the conversation

[2190] User: Turn on the "Meet Someone" mode within the application and enter the desired time, location, and topic of conversation.

[2191] Input: desired time, desired location, desired topic

[2192] Output: Conversation preference information

[2193] Terminal: Sends the entered conversation preference information to the server.

[2194] Input: User settings information

[2195] Output: Request sent to server

[2196] Server: Stores the received information in data storage.

[2197] Input: desired time, desired location, desired topic

[2198] Data processing: Save conversation preference information in a database

[2199] Output: Information saving completion notification

[2200] Step 3: AI matching

[2201] Server: Based on the user's desired conversation time, location, and topic information, the server matches the information of other users in the data storage. It uses a generative AI algorithm to search for matching candidates. It then selects the top five matching candidates.

[2202] Input: desired time, desired location, desired topic

[2203] Data calculation: candidate search, matching by generative AI algorithm

[2204] Output: A list of possible matches

[2205] On the device: The recommendation list sent from the server is displayed to the user.

[2206] Input: Match candidate list

[2207] Output: Display of recommendation candidate list

[2208] User: Select a name from the list of candidates and press the select button.

[2209] Input: Selected candidate

[2210] Output: Candidate selection information

[2211] Terminal: Sends the selection information to the server.

[2212] Input: Selection information

[2213] Output: Send to server

[2214] Server: Matches mutually selected users, generates detailed information, and notifies users.

[2215] Input: Selection information of both users

[2216] Data processing: Matching and detailed information generation

[2217] Output: Meeting details notification

[2218] Step 4: Specify the time and location

[2219] Server: Sends the specified meeting time and location details (e.g., cafe name, address, reservation time) to matched users.

[2220] Input: Meeting time, location, details

[2221] Output: Meeting details notification

[2222] Device: Receives notifications and displays meeting details to the user, along with a confirmation button for more information.

[2223] Input: Meeting details

[2224] Output: Display detailed information, display confirmation button

[2225] User: Check the details and press the confirmation button.

[2226] Input: Confirm, press button

[2227] Output: Confirmation information

[2228] Step 5: Conducting the conversation and managing the time

[2229] User: Presses the start button in the application when starting a conversation at the actual meeting location.

[2230] Input: Press the Start button

[2231] Output: Conversation start notification

[2232] Device: Upon launch, the emotion engine is activated and analyzes the user's facial expressions and voice in real time.

[2233] Input: Conversation start notification

[2234] Data calculation: Emotion engine activation, real-time analysis

[2235] Output: Emotion data

[2236] Emotion Engine: Collects and analyzes the user's emotional data during a conversation to identify positive or negative emotional states.

[2237] Input: User's facial expressions, voice

[2238] Data Computing: Sentiment Data Analysis

[2239] Output: Analysis results

[2240] Device: An alarm will sound 20 minutes after the conversation starts to notify you that the conversation is over. The alarm will sound every 10 minutes thereafter, and when the total time reaches 60 minutes, a forced termination alarm will sound.

[2241] Input: Timer

[2242] Output: Alarm, termination notification

[2243] Step 6: Feedback and storage of emotion data

[2244] Emotion engine: Provides real-time feedback to the conversation partner based on the user's perceived emotions, for example, displaying encouraging messages if the emotional state is negative.

[2245] Input: Analysis results

[2246] Output: Feedback message

[2247] Server: The analysis results of the emotion engine are stored in data storage and used to improve the matching algorithm in the future.

[2248] Input: Analysis results

[2249] Data processing: data storage, algorithm improvement

[2250] Output: Save completion notification

[2251] Step 7: Manage Reuse Limits

[2252] Server: After the conversation ends, get GPS information to see if the user is still nearby. If so, update data storage to enforce reuse restrictions. Update records to prevent the same users from matching again.

[2253] Input: GPS information

[2254] Data calculation: distance determination, data storage update

[2255] Output: Reuse restriction applied notification

[2256] Device: Display a non-reusable notification to the user.

[2257] Input: Reuse Restriction Applicable Notice

[2258] Output: Display of non-reusable notification

[2259] (Application example 2)

[2260] 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."

[2261] In today's stores, it is difficult to quickly assign the right staff member to a customer, especially for new or first-time customers. There is also a lack of support to ensure smooth interactions between customers and staff. This results in lower store efficiency and lower customer satisfaction. Furthermore, there is no system in place to analyze customer sentiment in real time and provide appropriate feedback, meaning the quality of conversations cannot be guaranteed.

[2262] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving information on the desired conversation time and desired conversation location from the user and storing this information in a database, means for selecting matching candidates with other users using an AI algorithm based on the stored information, means for notifying users who have been matched of detailed information on the specified meeting time and location, and means for analyzing the user's emotions in real time during the conversation using an emotion recognition engine and providing feedback based on the analysis. This enables customers and staff to be matched quickly and appropriately, and furthermore, analyzing emotions in real time and providing feedback can improve the quality of service.

[2263] "User" refers to an individual who uses the system to provide information on the desired time and location for a conversation and receives matching services.

[2264] "Desired conversation time" refers to the specific time a user desires to have a conversation with another user.

[2265] "Desired conversation location" refers to the specific location where a user wishes to have a conversation with another user.

[2266] "Database" refers to a storage device or system that stores information received from users and is used for selection by a matching algorithm.

[2267] "Matching candidates" refer to other users selected by the AI ​​algorithm based on the user's desired conversation time and location.

[2268] "AI algorithm" refers to an artificial intelligence algorithm used to select the best match candidates based on the user's desired information.

[2269] "Specified Meeting Time" means a specific time designated by the system for a User to converse with another User.

[2270] "Designated Meeting Place" means a specific location designated by the system for a User to converse with other Users.

[2271] An "emotion recognition engine" refers to a system or software that analyzes a user's facial expressions and voice in real time to recognize their emotional state.

[2272] "Real-time" refers to the instantaneous processing and analysis of data.

[2273] "Feedback" refers to information and advice provided to users based on the analysis results of the emotion recognition engine.

[2274] The system based on this invention allows users to have a comfortable consultation and shopping experience in a physical store. The configuration and operation of this system are described in detail below.

[2275] System configuration:

[2276] 1. User Device:

[2277] A user terminal may be a smartphone, smart glasses, or other mobile device, and is hardware for running applications.

[2278] For example, smartphones are assumed to run on Android OS or iOS, and smart glasses refer to devices such as Google Glass and Microsoft HoloLens.

[2279] 2. Server:

[2280] The server is a system for storing user information, performing matching processing, conversation management, and managing the operation of the emotion recognition engine.

[2281] The main software used is Firebase for the database system, TensorFlow for the AI ​​algorithm, and OpenCV for emotion recognition.

[2282] 3. Emotion Recognition Engine:

[2283] This system analyzes the user's facial expressions and voice in real time to recognize their emotions.

[2284] Analyze the user's emotional state using TensorFlow and OpenCV.

[2285] System behavior:

[2286] 1. User Registration:

[2287] The user opens the application, enters the required information, and registers. The registration information is sent to the server, and an anonymous ID is generated. This ID is then sent to the user.

[2288] 2. Conversation preferences:

[2289] Through the application, users input the desired time and location for the conversation, as well as the topic they wish to discuss. This information is sent to the server and stored in a database.

[2290] 3. Matching process:

[2291] The server matches users with other users based on the conversation preferences stored in the app, using an AI algorithm to select the most suitable match and notify the user.

[2292] 4. Conversation initiation and sentiment analysis:

[2293] When a user initiates a conversation at a designated time and place, the emotion recognition engine is activated, analyzing the user's facial expressions and voice in real time to obtain emotional data, and providing feedback to the user as needed.

[2294] 5. Ending the conversation and saving data:

[2295] Once the conversation is over, the emotion engine's analytical data is stored on the server and used to improve the customer experience in the future.

[2296] Examples:

[2297] For example, if User A wants to consult about a specific product using smart glasses in a store, he or she inputs the consultation content and desired time through the application. Based on this, the server searches for an appropriate staff member and matches User A with Staff B. When User A starts a conversation with Staff B at the designated location, the emotion recognition engine analyzes facial expressions and voice in real time and provides feedback to the staff member as needed. After the conversation ends, the emotion data is stored in a database and used to improve services in the future.

[2298] Example prompt sentence:

[2299] ShopAssist: A physical store guide app equipped with an emotion recognition engine, it analyzes customers' emotions in real time and provides feedback to staff during consultations. When a customer starts a consultation at a specified time and place, if the emotion engine detects negative emotions, it displays an encouraging message on the display and provides appropriate advice to staff. It also has a time management function to ensure that conversations are completed within a reasonable time frame.

[2300] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2301] Step 1:

[2302] A user opens the application, enters the required information (name, age, gender, email address) and registers a new account.

[2303] Input: User's basic information (name, age, gender, email address)

[2304] Processing: The device sends the user's input data to the server, which stores the received information in a database and generates a unique anonymous ID that is sent back to the user's device.

[2305] Output: An anonymous ID and a notification of successful registration are displayed on the user's device.

[2306] Step 2:

[2307] The user inputs the desired time, location, and topic of the conversation into the application.

[2308] Input: desired time, desired location, topic

[2309] Processing: The terminal sends the entered information to the server, which stores the received data in a database.

[2310] Output: The saved information of desired conversation time, desired conversation location, and desired topic is kept in the database.

[2311] Step 3:

[2312] The server uses the stored information to select potential matches using an AI algorithm.

[2313] Input: Conversation preference information stored in the database

[2314] Processing: Using an AI algorithm (TensorFlow), the best matching candidates that meet the user's desired conditions are selected.

[2315] Output: A list of the top 5 potential matches is generated and sent to the user's device.

[2316] Step 4:

[2317] The user selects one person from the list of match candidates and presses the select button.

[2318] Input: User ID selected from list of match candidates

[2319] Processing: The device send...

Claims

1. A means for receiving information on a desired time and place for conversation from a user and storing the information in a database; Based on the stored information, an AI algorithm will select potential matches with other users. A means for notifying a matched user of detailed information about the specified meeting time and location; a means for sounding an alarm after a certain time has elapsed since the start of the conversation to notify the end of the conversation; Using GPS information, it is possible to restrict reuse when the device goes outside a certain range. A system including:

2. 2. The system according to claim 1, wherein the system accepts input of desired conversation content by the user and stores the input.

3. 10. The system of claim 1, wherein after a conversation ends, the system updates the record to prevent re-matching of the same users.

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