System

Abstract

A system is provided.SOLUTION: A social gathering system comprising: means for inputting a participating department and a desired date and time of a social gathering from a user; means for acquiring information on a candidate store from an external information providing system based on the participating department and the desired date and time of the social gathering input by the input means; means for extracting allergy information and preference information of a participant from an in-house database in order to narrow down the information on the candidate store acquired by the acquisition means; A system, comprising: means for presenting a candidate list; means for receiving store information selected from the candidate list from a user; and means for automatically reserving and paying for a social gathering based on the selection 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] Social gatherings are becoming increasingly important in companies, but the task of organizing a social gathering is extremely burdensome, especially for junior employees. Specifically, they must handle a wide range of tasks, including scheduling, choosing a restaurant, checking attendee allergies, filing internal approvals, deciding seating arrangements, and processing payments. This makes it difficult for junior employees to focus on their primary duties. The purpose of this invention is to streamline these cumbersome organizing tasks and reduce the burden on junior employees. [Means for solving the problem]

[0005] By providing a system including a means for a user to input the department and desired date and time for the social gathering, a means for acquiring information on candidate stores from an external information system based on the department and desired date and time for the social gathering input by the input means, a means for extracting allergy information and preference information of participants from an internal database in order to narrow down the candidate store information acquired by the acquisition means, a means for narrowing down the candidate stores based on the information extracted by the extraction means and presenting a candidate list, a means for receiving store information selected from the candidate list by the user, and a means for automatically making reservations and payments for the social gathering based on the selected information, the system can significantly streamline the social gathering planning work borne by young employees, thereby providing an environment in which young employees can concentrate on their core duties.

[0006] "User" refers to a person who uses the system to organize a social gathering.

[0007] "Input means" refers to an interface that allows a user to input information such as the departments participating in the social gathering and the desired date and time into the system.

[0008] "External information provision system" refers to an external database or API service that provides information on potential stores for social gatherings.

[0009] "Candidate stores" refers to information on multiple stores that could be considered as locations for the social gathering.

[0010] An "internal database" is a database managed within a company that stores information including employee allergies and preferences.

[0011] "Allergy information" refers to information about a participant's food allergies.

[0012] "Preference information" refers to information about participants' preferred foods and drinks.

[0013] "Means of narrowing down" refers to algorithms and functions that limit candidate store information based on allergy and preference information and identify appropriate stores.

[0014] "Presentation means" refers to an interface for displaying a narrowed down list of candidate stores to the user.

[0015] "Selected information" refers to information about the store selected by the user from the presented candidate list.

[0016] "Reservation Method" refers to the system function that automatically reserves the store selected by the user.

[0017] "Payment Method" refers to the system functionality for automatically processing payment procedures for reserved stores.

[0018] An "internal approval system" refers to an electronic approval system for obtaining approval to hold a social gathering within a company. [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] The present invention is a system for improving the efficiency of organizing a social gathering, in which a user terminal, a server, and an external information providing system work in cooperation with each other. Specific embodiments of the system are described below.

[0041] Initial Setup

[0042] 1. User terminal: The user logs in to the system and enters the department (e.g., sales department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. Next, the user enters the purpose of the social gathering (e.g., welcome party for new employees) and submits this information.

[0043] 2. Server: Receives the initial setting data sent from the user terminal and stores it in a database. This aggregates the basic information about the social gathering and provides the data necessary for subsequent processing.

[0044] Candidate proposals

[0045] Based on the information entered by the user, the following steps are performed:

[0046] 1. Server: Based on the saved initial setting data, obtain candidate store information from an external information system. At this time, use the API to obtain a list of stores with availability on that date and time.

[0047] 2. Server: Extracts allergy and preference information for each employee from the company database. For example, information such as Mr. Sugiyama's allergy to shrimp and Mr. Sato's preference for sake.

[0048] 3. Server: Narrows down the candidate restaurants based on the extracted allergy and preference information and generates a candidate list. For example, it prioritizes restaurants that do not use shrimp or that offer a wide variety of sake.

[0049] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[0050] Candidate selection and confirmation

[0051] 1. User device: The user checks the list of options sent to them and selects the most suitable date, time, restaurant, and seating arrangement. For example, they select a table seat at Izakaya A.

[0052] 2. User terminal: Sends the selection information to the server.

[0053] 3. Server: Receives the selection information sent from the user terminal and stores it in a database.

[0054] Automatic Processing

[0055] The server performs the following automatic processing to reduce the burden on the user.

[0056] 1. Server: Based on the saved selection information, the server automatically accesses the internal approval system and processes the application for hosting a social gathering. The server automatically enters the necessary information (e.g., the date, time, location, and number of people for the social gathering) and clicks the application button.

[0057] 2. Server: Automatically reserve the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[0058] 3. Server: Processes payments and automates payments for social gatherings. Payments for reservations are completed through the company's payment system, eliminating the need for out-of-pocket payments.

[0059] Specific examples

[0060] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information about available restaurants, extracts allergy information from the internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of candidates such as "Izakaya A" and "Izakaya B," and the user selects "Izakaya A," which is then sent to the server. Based on this information, the server submits a request to the internal approval system, automatically makes a reservation for Izakaya A, and completes payment.

[0061] In this way, this system allows young employees to efficiently carry out the organizing duties of social gatherings without placing a burden on them.

[0062] The processing flow will be explained below.

[0063] Step 1:

[0064] A user logs in to the system using a terminal, and enters a username and password on the login screen for authentication.

[0065] Step 2:

[0066] The user opens the "Social Gathering Settings" screen and enters the participating department (e.g., Sales Department) and the desired date and time (e.g., 19:00 on March 15th).

[0067] Step 3:

[0068] The user inputs the purpose of the social gathering (e.g., welcome party for new employees) and submits the setting data.

[0069] Step 4:

[0070] The server receives the initial setting data sent from the user terminal and stores the received data in a database.

[0071] Step 5:

[0072] The server transmits a request to acquire information on candidate stores from an external information providing system based on the initial setting data stored in the database.

[0073] Step 6:

[0074] The server obtains a list of stores with availability on the date and time from an external information providing system and analyzes the obtained data.

[0075] Step 7:

[0076] The server extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[0077] Step 8:

[0078] The server narrows down the candidate stores based on the extracted allergy information and preference information and generates a candidate list.

[0079] Step 9:

[0080] The server transmits the narrowed candidate list to the user terminal.

[0081] Step 10:

[0082] The user checks the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats).

[0083] Step 11:

[0084] The user sends the selection information to the server.

[0085] Step 12:

[0086] The server receives the selection information sent from the user terminal and stores it in a database.

[0087] Step 13:

[0088] Based on the selected information saved on the server, the user accesses the internal approval system and applies for hosting a social gathering. The required information is automatically entered and the user clicks the application button.

[0089] Step 14:

[0090] The server automatically reserves the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[0091] Step 15:

[0092] The server processes the payment and automatically pays for the social gathering, accessing the company's payment system to complete the payment for the reservation.

[0093] Example 1

[0094] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0095] Conventionally, the work of organizing a social gathering has been extremely busy, requiring time and effort, especially when selecting the most suitable restaurant while taking into account the allergies and preferences of the participants, and then making reservations and making payments. Furthermore, when internal approval procedures are required, the procedures are often done manually, which can lead to errors and delays in operations. The present invention aims to solve these problems and provide a system for smoothly and efficiently organizing social gatherings.

[0096] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0097] In this invention, the server includes: means for a user to input the department and desired date and time for the social gathering; means for acquiring information on candidate restaurants from an external information system based on the department and desired date and time for the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate restaurant information acquired by the acquisition means; means for narrowing down the candidate restaurants based on the information extracted by the extraction means and presenting a candidate list; means for receiving information on a restaurant selected from the candidate list by the user; means for automatically making reservations and payments for the social gathering based on the selected information; and means for automatically applying for the hosting of the social gathering to an internal approval system. This significantly reduces the cumbersome manual organizing work performed by the user and enables efficient and consistent planning, reservation, and payment procedures for the social gathering.

[0098] "User" refers to the user who logs into the system and sets up the social gathering.

[0099] A "social gathering" refers to a social gathering where participating departments and participants come together.

[0100] "Participating Departments" refers to the specific departments within an organization that will participate in the social gathering.

[0101] The "desired date and time" refers to the date and time designated by the user as the date and time for the social gathering.

[0102] The term "external information providing system" refers to an external information service that the server uses to obtain information on candidate stores.

[0103] "Server" refers to the central computing resource that receives input information from users and performs various processing.

[0104] "Candidate store" refers to a store proposed as the location for the social gathering.

[0105] "Internal database" refers to the internal information management system that stores participants' allergy and preference information.

[0106] "Allergy information" refers to information regarding a participant's allergic reaction to a particular food ingredient or component.

[0107] "Preference information" refers to information about participants' particular preferences for certain foods and beverages.

[0108] "Candidate list" refers to a list of candidate stores narrowed down by the server.

[0109] "Selection information" refers to information about the store or other items selected by the user from the candidate list.

[0110] "Reservation" refers to the process of reserving a store selected as the venue for a social gathering.

[0111] "Payment" refers to the process of completing the financial cancellation of a social gathering booking.

[0112] An "internal approval system" refers to a system for handling approval and application procedures within a company.

[0113] This invention is a system for efficiently managing the organization of social gatherings. Specifically, it involves the cooperation of a user terminal, a server, and an external information system. This system receives social gathering setting data from the user, obtains restaurant information from the external information system, extracts allergy and preference information from an internal database, suggests the most suitable restaurant based on that data, and automatically handles reservations and payment procedures.

[0114] Hardware and Software Used

[0115] User device: A computer or smartphone with an internet browser.

[0116] Server: Database management system (DBMS), browser automation tool (e.g., Selenium), API client for connecting to external APIs.

[0117] External information system: External store information services and APIs.

[0118] Initial Setup

[0119] User terminal: The user logs in to the system and accesses the social gathering setting screen. There, the user enters the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., welcome party for new employees), and clicks the send button. This sends the entered data to the server.

[0120] Candidate proposals

[0121] Server: The server receives the data sent from the user's device and stores it in a database. Next, it calls the API of an external information system based on the stored data and obtains information on candidate stores that have availability on the desired date and time. It then extracts allergy and preference information from the internal database and compares it with the obtained store information to narrow down the list of stores. As a result of the filtering, the most suitable candidate stores are selected and sent to the user's device as a candidate list.

[0122] Candidate selection and confirmation

[0123] User device: The user checks the received list of candidate stores and selects the most suitable store and date / time. For example, they can select "a table seat at Izakaya A." The selected information is sent to the server.

[0124] Automatic Processing

[0125] Server: The server saves the received selection information in a database and uses that information to access the internal approval system. It then uses a browser automation tool (e.g., Selenium) to enter the necessary information into a form and complete the application process. It then automatically reserves the selected store using an external API and automatically makes payment for the reservation through the company's payment system.

[0126] Specific examples

[0127] For example, if a user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request, the server will call an external API to obtain information about available restaurants. It will then extract allergy information from the internal database and narrow down the list of candidate restaurants. A list of candidates such as "Izakaya A" and "Izakaya B" will be presented to the user, and the user will select "Izakaya A," which will be sent to the server. The server will then submit a request using the internal approval system based on that information, automatically reserving Izakaya A, and completing payment.

[0128] Prompt Sentence Examples

[0129] "Please suggest a restaurant where we can hold a welcome party for new employees of the sales department at 7:00 PM on March 15th. Mr. Sugiyama is allergic to shrimp, and Mr. Sato prefers sake."

[0130] According to this invention, the user can efficiently carry out complicated organizing tasks, and the tasks can be made smoother.

[0131] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0132] Program processing flow

[0133] Step 1:

[0134] User terminal: The user logs in to the system and opens the "Social Gathering Settings" screen. Here, the user enters the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., a welcome party for new employees), and clicks the send button.

[0135] Input: Participating department, desired date and time, purpose of the social gathering.

[0136] Output: Initial configuration data is sent to the server.

[0137] Step 2:

[0138] Server: The server receives the initial setting data sent from the user terminal and stores it in a database. This data is used in subsequent processing.

[0139] Input: Initial setting data sent from the user terminal.

[0140] Output: Initial configuration data stored in the database.

[0141] Step 3:

[0142] Server: Based on the saved initial setting data, the server calls the API of the external information system to obtain information on candidate stores that have availability on the desired date and time.

[0143] Input: Initial setting data stored in the database.

[0144] Output: A list of candidate stores obtained from an external API.

[0145] Step 4:

[0146] Server: The server extracts allergy and preference information from the company database. It uses SQL queries to retrieve allergy and preference information for each employee.

[0147] Input: Employee allergy and preference information.

[0148] Output: Extracted allergy and preference information.

[0149] Step 5:

[0150] Server: The server compares the acquired store information with the employee's allergy and preference information to generate a list of optimal candidate stores. For example, if an employee is allergic to shrimp, it will select a store that does not use shrimp. Also, if an employee likes sake, it will prioritize stores with a wide selection of sake.

[0151] Input: List of potential stores, allergy information, and preference information.

[0152] Output: A narrowed down list of potential stores.

[0153] Step 6:

[0154] Server: The server sends the narrowed down list of candidate stores to the user's terminal.

[0155] Input: Narrowed down list of potential stores.

[0156] Output: A list of candidate stores sent to the user's device.

[0157] Step 7:

[0158] User device: The user checks the list of candidate stores and selects the most suitable store and date and time. For example, they select "a table seat at Izakaya A."

[0159] Input: List of potential stores.

[0160] Output: Selected store information.

[0161] Step 8:

[0162] User terminal: The user sends the selection information to the server.

[0163] Input: Store information selected by the user.

[0164] Output: The selection information sent to the server.

[0165] Step 9:

[0166] Server: The server receives the selection information sent from the user terminal and stores it in a database. This selection information is used to make reservations for social gatherings and process payments.

[0167] Input: Selection information sent from the user terminal.

[0168] Output: Selection information stored in a database.

[0169] Step 10:

[0170] Server: The server accesses the internal approval system based on the saved selection information and automatically processes the application for hosting the social gathering. It uses a browser automation tool (e.g., Selenium) to enter the required information into the form and complete the application.

[0171] Input: Selection information stored in the database.

[0172] Output: Application information sent to the approval system.

[0173] Step 11:

[0174] Server: The server automatically reserves the selected store using an external API. The server sends the reservation information via the API and confirms the reservation.

[0175] Input: Selection information stored in the database.

[0176] Output: Confirmed store reservation information.

[0177] Step 12:

[0178] Server: The server automatically processes the booking payment through the company's payment system, inputs the payment information into the system, and the payment is completed.

[0179] Input: Selection information stored in the database, and payment information.

[0180] Output: The completed payment transaction.

[0181] This allows users to significantly reduce the tedious manual organizing work required, and enables them to efficiently and consistently plan, book, and pay for social gatherings.

[0182] (Application example 1)

[0183] 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."

[0184] In today's business environment, organizing social gatherings and managing materials within factories require a lot of time and effort. Coordinating social gatherings, arranging materials, and selecting transport routes are particularly labor-intensive and prone to errors. Furthermore, there is a lack of integrated systems that streamline these tasks and reduce the burden on personnel. Therefore, there is a need for a system that can efficiently organize social gatherings and manage materials within factories.

[0185] 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.

[0186] In this invention, the server includes: means for inputting the departments and desired date and time of the social gathering from a user; means for acquiring information on candidate stores from an external information system based on the departments and desired date and time of the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate store information acquired by the acquisition means; means for narrowing down the candidate stores based on the information extracted by the extraction means and presenting a candidate list; means for receiving store information selected from the candidate list by the user; means for automatically making reservations and payments for the social gathering based on the selected information; means for the user to input the type, quantity, and priority of materials via smart glasses; means for acquiring inventory information from the external information system based on the input data and generating optimal placement locations and transportation route candidates; means for receiving the placement locations and transportation routes selected by the user; means for controlling a robot to transport materials based on the selected information; and means for automatically completing payment procedures for materials via the external information system. This makes it possible to centrally improve the efficiency of social gathering planning and factory material management operations.

[0187] "User" refers to the entity that uses this system to set up social gatherings and manage materials.

[0188] A "social gathering" refers to a gathering held within a company or organization to deepen friendships.

[0189] "Participating departments" refer to specific departments within an organization that will participate in the social gathering.

[0190] "Desired date and time" refers to the date and time set by the user for the social gathering to be held.

[0191] An "external information provision system" refers to a system for obtaining necessary information from outside.

[0192] "Information on candidate stores" refers to information on potential locations for social gatherings and materials management.

[0193] "Allergy Information" refers to information about any hypersensitivity a participant or employee may have to a particular substance.

[0194] "Preference information" refers to information about the types of food, drinks, and materials preferred by participants and employees.

[0195] A "candidate list" refers to a list of narrowed-down candidate stores and locations.

[0196] "Selection information" refers to information about the specific store or location selected by the user from the candidate list.

[0197] A "reservation" refers to the process of reserving a specific date, time, and location in advance.

[0198] "Payment process" refers to the process of paying for services or goods.

[0199] "Smart glasses" refers to a glasses-type device with augmented reality capabilities that can display information.

[0200] "Type of material" refers to the type of specific supplies or materials required for a factory or operation.

[0201] "Quantity" refers to the specific number of units of a material.

[0202] "Priority" refers to the order in which processing or execution should be carried out and the degree of importance.

[0203] "Inventory information" refers to information about materials and products currently held by suppliers and in warehouses.

[0204] "Location" refers to a location other than the specific location where materials should be placed.

[0205] A "transport route" refers to the optimal route for transporting materials or goods.

[0206] A "robot" is a machine that performs tasks automatically according to programmed instructions.

[0207] The present invention provides a system for improving the efficiency of organizing social gatherings and managing materials in factories. The following specific embodiments will be described in which a user terminal, a server, and an external information providing system work in cooperation with each other.

[0208] Initial Setup

[0209] 1. User terminal: The user logs in to the system and enters the department and desired date and time on the "Social Gathering Settings" screen. Next, the purpose of the social gathering is entered and this information is transmitted. Similarly, in the case of factory material management, the type, quantity, and priority of materials are entered via smart glasses and transmitted.

[0210] Hardware used: Smartphone, smart glasses

[0211] -Example: A user schedules a welcome party for new employees in the sales department on March 15th at 7:00 PM.

[0212] 2. Server: Receives the initial setting data sent from the user terminal and stores it in the database. This aggregates basic information about the social gathering and materials management, and provides the data necessary for subsequent processing.

[0213] Software used: MySQL database

[0214] Candidate proposals

[0215] 1. Server: Based on the saved initial setup data, obtains candidate store information from an external information system. In the case of factory material management, obtains inventory information from the external information system. In this case, obtains the necessary information using an API.

[0216] Software used: RESTful API

[0217] -Example: The server retrieves the list of available stores and material inventory information at 19:00 on March 15th.

[0218] 2. Server: Extracts information about participants' allergies and preferences from an internal database. In the case of factory materials management, extracts information about material storage locations and the location of transport robots from an internal database.

[0219] Software used: MySQL database

[0220] -Example: The server extracts allergy and preference information and identifies where ingredients are stored.

[0221] 3. Server: Based on the extracted information, the server narrows down the candidates and generates a candidate list. Similarly, in the case of factory material management, it generates candidates for optimal placement locations and transport routes.

[0222] Software used: Data filtering algorithm

[0223] -Example: Nominate stores that do not use shrimp or that have a wide variety of sake. Suggest the optimal transportation route for materials.

[0224] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[0225] Software used: RESTful API

[0226] -Example: Suggest a list of "Izakaya A" and "Izakaya B" to the user.

[0227] Candidate selection and confirmation

[0228] 1. User terminal: The user checks the list of candidates sent and selects the optimal date, time, restaurant, and seating arrangement. Similarly, in the case of factory materials management, the optimal placement location and transportation route are selected.

[0229] -Example: Select a table seat at Izakaya A.

[0230] 2. User terminal: Sends the selection information to the server.

[0231] Hardware used: Smartphone, smart glasses

[0232] 3. Server: Receives the selection information sent from the user terminal and stores it in a database.

[0233] Software used: MySQL database

[0234] Automatic Processing

[0235] 1. Server: Based on the saved selection information, the server automatically accesses the internal approval system and processes the application for hosting a social gathering. Similarly, in the case of factory materials management, the server automatically orders materials.

[0236] Software used: RESTful API, approval system

[0237] 2. Server: Automatically reserves the selected store using an external API. Similarly, in the case of factory material management, it controls the robot according to the transport route.

[0238] Software used: RESTful API, robot control software

[0239] 3. Server: Processes payment procedures and automatically pays for the social gathering. Similarly, in the case of factory materials management, it automatically processes payment procedures for materials.

[0240] Software used: Electronic payment system

[0241] Specific examples

[0242] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information about available restaurants, extracts allergy and preference information from the internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of options such as "Izakaya A" and "Izakaya B," and the user selects "Izakaya A," which is then sent to the server. Based on this information, the server submits a request to the internal approval system, automatically makes a reservation for Izakaya A, and completes payment.

[0243] Example prompts to be input to the generative AI model:

[0244] "Write a system for streamlining the management and transportation of materials within a factory. The factory manager must use smart glasses to input the type, quantity, and priority of materials, and the system must retrieve inventory information from an external information system and suggest the optimal location and transportation route. Also, once the selection is confirmed, the system must include a function to control a robot, order materials externally, and complete the payment procedure."

[0245] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0246] Step 1:

[0247] Entering initial settings

[0248] Device: Using smart glasses or a smartphone, the user enters the participating department (e.g., sales department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. In addition, in the case of factory material management, the user also enters the type of material (e.g., aluminum plate), quantity (e.g., 500 sheets), and priority (e.g., high).

[0249] Input: Department, desired date and time, purpose (for social gatherings) or material type, quantity, and priority (for materials management).

[0250] Output: The entered configuration data.

[0251] Operation: The user terminal sends the entered data to the server.

[0252] Step 2:

[0253] Saving the setting data

[0254] Server: Receives the initial setting data sent from the device and stores it in a database.

[0255] Input: Initialization data.

[0256] Output: Configuration data stored in the database.

[0257] How it works: The server stores the data in a MySQL database.

[0258] Step 3:

[0259] Obtaining external information

[0260] Server: Based on the saved initial setting data, obtain information on candidate stores or inventory information from an external information system. Obtain the necessary information using API.

[0261] Input: Saved initial setting data.

[0262] Output: Store information or inventory information obtained from an external information system.

[0263] How it works: The server calls and receives data through a RESTful API.

[0264] Step 4:

[0265] Extracting internal data

[0266] Server: Extracts information on participants' allergies and preferences from an internal database, as well as information on storage locations of materials and transport robots.

[0267] Input: Saved configuration data.

[0268] Output: Extracted allergy information, preference information, storage location of materials, and location information of the transport robot.

[0269] How it works: The server queries and extracts information from a MySQL database.

[0270] Step 5:

[0271] Generate candidate list

[0272] Server: Based on the extracted information, narrow down the candidate stores or material locations and transport routes.

[0273] Inputs: Information from external information systems and internal databases.

[0274] Output: A candidate list.

[0275] How it works: The server applies a data filtering algorithm to generate a candidate list.

[0276] Step 6:

[0277] Presenting a candidate list

[0278] Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[0279] Input: Suggestion list.

[0280] Output: The candidate list displayed on the user's terminal.

[0281] How it works: The server sends data via a RESTful API.

[0282] Step 7:

[0283] Candidate Selection

[0284] Terminal: The user reviews the list of options sent and selects the best date, time, restaurant, seating arrangement, or location and delivery route.

[0285] Input: Suggestion list.

[0286] Output: Selected information.

[0287] How it works: The user makes a selection on their smart glasses or smartphone and sends it to the server.

[0288] Step 8:

[0289] Save selection information

[0290] Server: Receives the selection information sent from the user terminal and stores it in a database.

[0291] Input: Selection information.

[0292] Output: Selection information stored in a database.

[0293] How it works: The server stores the selection information in a MySQL database.

[0294] Step 9:

[0295] Automatic processing (reservation of social gatherings)

[0296] Server: Based on the selected information, the internal approval system is automatically accessed and the application process for holding the social gathering is carried out.

[0297] Input: Selection information.

[0298] Output: Notification of application completion to the approval system.

[0299] How it works: The server sends the application data via a RESTful API.

[0300] Step 10:

[0301] Automatic processing (store reservations, material transport)

[0302] Server: Automatically reserves selected stores using external APIs, and in the case of factory material management, controls robots to transport materials.

[0303] Input: Selection information.

[0304] Output: Reservation Completed Notification or Material Delivery Completed Notification.

[0305] Action: The server executes the operation using an external API or robot control software.

[0306] Step 11:

[0307] Payment process

[0308] Server: Automatically pay for social gatherings or materials.

[0309] Enter: Reservation or material delivery information.

[0310] Output: Payment completion notification.

[0311] What happens: The server completes the payment using an electronic payment system.

[0312] 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.

[0313] This invention is a system for improving the efficiency of organizing a social gathering, and involves the cooperation of a user terminal, a server, an external information providing system, and an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[0314] Initial Setup

[0315] 1. User terminal: The user logs in to the system and enters the participating department (e.g., Sales Department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. Next, the user enters the purpose of the social gathering (e.g., a welcome party for new employees) and submits this information.

[0316] 2. Server: Receives the initial setting data sent from the user terminal and stores it in the database. This data includes basic information such as department, date, and purpose.

[0317] Candidate proposals

[0318] Based on the information entered by the user, the following steps are performed:

[0319] 1. Server: Based on the saved initial setting data, obtain information on candidate stores from an external information system. Use the API to obtain a list of stores that are available on that date and time.

[0320] 2. Server: Extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[0321] 3. Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list.

[0322] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[0323] Utilizing the Emotion Engine

[0324] 1. Emotion engine: Recognizes emotions in real time based on user input. For example, it analyzes emotions based on the strength and speed of keyboard input, facial recognition, etc.

[0325] 2. Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates dissatisfaction with the user, it will prioritize and suggest other candidates.

[0326] 3. User device: The user reviews the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The presentation order is adjusted in real time based on emotional feedback.

[0327] Candidate selection and confirmation

[0328] 1. User terminal: The user sends the selection information to the server.

[0329] 2. Server: Receives the selection information sent from the user terminal and stores it in a database.

[0330] Automatic Processing

[0331] The server performs the following automatic processing to reduce the burden on the user.

[0332] 1. Server: Based on the selected information, the internal approval system is accessed and the application procedure for hosting a social gathering is automatically carried out. The required information is entered and the application button is clicked.

[0333] 2. Server: Automatically reserve the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[0334] 3. Server: Processes payments and automates payments for social gatherings. Accesses the company's payment system and completes payments for reservations.

[0335] Specific examples

[0336] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information on available restaurants, extracts allergy information from the company's internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of candidates such as "Izakaya A" and "Izakaya B," but adjusts the order and content of the list in real time if the user expresses emotional dissatisfaction. Once the user has made the optimal selection, the server submits an application to the company's internal approval system, automatically reserving the selected restaurant, "Izakaya A," and completing payment.

[0337] In this way, this system allows junior employees to efficiently carry out the organizing duties of a social gathering while taking into consideration the emotional state of the user and without placing a burden on them.

[0338] The processing flow will be explained below.

[0339] Step 1:

[0340] A user logs in to the system using a terminal, and enters a username and password on the login screen for authentication.

[0341] Step 2:

[0342] The user opens the "Social Gathering Settings" screen and enters the participating department (e.g., Sales Department) and the desired date and time (e.g., 19:00 on March 15th).

[0343] Step 3:

[0344] The user inputs the purpose of the social gathering (e.g., a welcome party for new employees), confirms that the setting is to activate the emotion engine, and then transmits the setting data.

[0345] Step 4:

[0346] The server receives the initial setting data sent from the user terminal and stores the received data in a database.

[0347] Step 5:

[0348] The server transmits a request to acquire information on candidate stores from an external information providing system based on the initial setting data stored in the database.

[0349] Step 6:

[0350] The server obtains a list of stores with availability on the date and time from an external information providing system and analyzes the obtained data.

[0351] Step 7:

[0352] The server extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[0353] Step 8:

[0354] The server narrows down the candidate stores based on the extracted allergy information and preference information and generates a candidate list.

[0355] Step 9:

[0356] The server transmits the narrowed candidate list to the user terminal.

[0357] Step 10:

[0358] The user's device will display a list of candidates, and the emotion engine will begin to recognize the user's emotions, for example, by analyzing facial recognition and keyboard typing speed.

[0359] Step 11:

[0360] The user checks the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The emotion engine analyzes the user's emotions in real time, and if the user is dissatisfied, the server readjusts the order of the candidate list.

[0361] Step 12:

[0362] The user sends the selection information to the server.

[0363] Step 13:

[0364] The server receives the selection information sent from the user terminal and stores it in a database.

[0365] Step 14:

[0366] Based on the selected information saved on the server, the user accesses the internal approval system and applies for hosting a social gathering. The required information is automatically entered and the user clicks the application button.

[0367] Step 15:

[0368] The server automatically reserves the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[0369] Step 16:

[0370] The server processes the payment and automatically pays for the social gathering, accessing the company's payment system to complete the payment for the reservation.

[0371] Example 2

[0372] 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."

[0373] Planning and running social gatherings is an important part of modern business operations, but doing it manually takes a lot of time and effort. It is also difficult to select an appropriate venue while taking into account the individual preferences and allergy information of participants. Furthermore, satisfaction would be improved if candidate facilities could be prioritized while reflecting the participants' intentions and emotions. However, current systems have difficulty dynamically adjusting the system to take emotional feedback into account. There is a need to solve these issues.

[0374] 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.

[0375] In this invention, the server includes: means for inputting the department and desired date and time of the social gathering from a user terminal; means for acquiring information on candidate facilities from an external information system based on the department and desired date and time of the social gathering input by the input means; means for extracting allergy information and preference information of participants from an internal company database to narrow down the candidate facility information acquired by the acquisition means; means for narrowing down the candidate facilities based on the information extracted by the extraction means and presenting a candidate list; means for receiving facility information selected from the candidate list from the user terminal; means for automatically making reservations and payments for the social gathering based on the selected information; and means including an emotion engine that recognizes emotions in real time in response to user input and adjusting evaluations of candidate facilities based on data obtained from the emotion engine. This makes it possible to efficiently manage social gatherings and increase participant satisfaction.

[0376] A "user terminal" is a device used by a user to perform input operations, and refers to information processing devices such as PCs, smartphones, and tablets.

[0377] "Participating departments" refers to the departments or divisions to which users participating in the social gathering belong.

[0378] The "desired date and time" refers to the specific date and time at which the user wishes to hold the social gathering.

[0379] An "external information provision system" refers to a system or service for obtaining information from outside about potential facilities for social gatherings.

[0380] "Candidate facilities" refer to locations or stores that are candidates for hosting a social gathering.

[0381] "Allergy information" refers to information regarding food allergies held by participants at the social gathering.

[0382] "Preference information" refers to information about the food and drink preferences of participants at the social gathering.

[0383] "Emotion engine" refers to an engine or module that recognizes and analyzes emotions in real time from user input and behavior.

[0384] "Means for adjusting ratings" refers to means for changing the ranking of candidate facilities or lists based on information obtained from the emotion engine.

[0385] "Means for automatically making reservations and payments" refers to means for automating the reservation procedures and payment procedures for facilities selected by the user.

[0386] "Database" means an electronic system for systematically storing information and for searching, retrieving, and updating that information as needed.

[0387] An "internal approval system" refers to a system for obtaining approval for work or events within a company.

[0388] MODE FOR CARRYING OUT THE INVENTION

[0389] The present invention provides a system for efficiently running a social gathering, in which a user terminal, a server, an external information providing system, and an emotion engine that recognizes the user's emotions work in cooperation with each other. Specific embodiments of the system are described below.

[0390] Initial Setup

[0391] Login and input via user terminal

[0392] The user logs in to the system from their user terminal and accesses the "Social Gathering Settings" screen. On this screen, they enter the participating department (e.g., Sales Department) and the desired date and time (e.g., 7:00 PM on March 15th). They then enter the purpose of the social gathering (e.g., welcome party for new employees) and click the "Send" button. User terminals can include PCs, smartphones, and tablets.

[0393] Data reception and storage by the server

[0394] The server receives the initial setting data sent from the user terminal. This data includes department, date and time, purpose, etc. The received data is stored in a database. The database can be MySQL or PostgreSQL.

[0395] Candidate proposals

[0396] Server acquires data from external information systems

[0397] The server then calls the API of an external information system based on the saved initial setting data to obtain a list of candidate facilities that are available on the specified date and time. The external information system may be the Google Places API or Yelp API.

[0398] Server extracts allergy information and preferences from an internal database

[0399] The server extracts allergy and preference information for each participant from the company's internal database. For example, it extracts information such as "employees with shrimp allergies" and "employees who like Japanese sake." SQL queries are used for extraction.

[0400] Server generates and narrows down the list of candidate facilities

[0401] The server narrows down the list of candidate facilities obtained from the external system based on the extracted allergy and preference information. Specifically, an algorithm is applied that excludes facilities that use a large amount of allergen ingredients and prioritizes facilities that have a wide selection of preferred foods and drinks.

[0402] Server transmits candidate list to user terminal

[0403] The narrowed down candidate facility list is transmitted to the user terminal, and candidate facilities are proposed to the user.

[0404] Utilizing the Emotion Engine

[0405] Recognizing user emotions with an emotion engine

[0406] The emotion engine analyzes the user's emotions in real time using the strength and speed of keyboard input, facial recognition, etc. The emotion engine uses Face++ and Emotion API.

[0407] Server-based evaluation adjustment of candidate facilities

[0408] The server adjusts the evaluation of the candidate facilities based on the data obtained from the emotion engine. If the emotion data indicates dissatisfaction with the user, the server changes the order of the list so that other candidate facilities are given priority.

[0409] Check and select from the candidate list on the user's device

[0410] The user checks the updated candidate list and selects the most suitable establishment (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The selected information is sent to the server in real time.

[0411] Candidate selection and confirmation

[0412] Transmission of selection information by user terminal to server

[0413] After the user confirms the selected information, he clicks the "Confirm" button and the selected information is sent to the server.

[0414] Server saves selection information in a database

[0415] The server receives the selection information sent from the user terminal and stores this data in a database.

[0416] Automatic Processing

[0417] Application procedures using a server-based internal approval system

[0418] Based on the selected facility information, the server accesses the internal approval system, inputs the necessary data, and automatically clicks the application button, automatically completing the approval process for holding the social gathering.

[0419] Automatic facility reservation by server

[0420] The server automatically completes the reservation process for the selected facility via an external API, sending an API request and entering the necessary information to confirm the facility reservation.

[0421] Server-based payment processing

[0422] The server accesses the company's payment system and automatically completes the payment procedure for the social gathering, automating all procedures and reducing the burden on the user.

[0423] Specific examples

[0424] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and enters the purpose of the social gathering as "New Employee Welcome Party," then submits the request. The server calls an external API to retrieve information about facilities available on the specified date and time. At the same time, it extracts information from the internal database, such as "employees with shrimp allergies" and "employees who like Japanese sake," and uses this information to narrow down the list of candidate facilities. A list of candidates, such as "Izakaya A" and "Izakaya B," is presented to the user's device, and the emotion engine analyzes the user's emotions in real time, adjusting the order and content of the list if the user indicates dissatisfaction. The user selects "Izakaya A," and the server automatically completes the process from approval request to reservation and payment.

[0425] Prompt Sentence Examples

[0426] Please suggest the best venue for your social gathering based on the following information:

[0427] Participating department: Sales Department

[0428] Preferred date and time: March 15th, 7:00 PM

[0429] Purpose of the social gathering: Welcome party for new employees

[0430] Employee allergy information: We have an employee who is allergic to shrimp.

[0431] Employees' favorite things: Some employees like Japanese sake.

[0432] Display candidate facilities in a list and adjust the order of the list taking into account users' emotional feedback.

[0433] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0434] Step 1:

[0435] Login and input via user terminal

[0436] The user logs into the system using a user terminal. On the "Social Gathering Settings" screen, they enter the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., welcome party for new employees). They then click the "Send" button. This sends the entered data (department, date and time, purpose) to the server. The input is done by the user, and the output is sent to the server as initial setting data.

[0437] Step 2:

[0438] Data reception and storage by the server

[0439] The server receives the initial setup data (department, date and time, purpose) sent from the user terminal. The received data is saved in the database. Specifically, the data is temporarily saved and then inserted into the database using an SQL query. The input is the initial setup data from the user terminal, and the output is a notification that the data has been saved to the database.

[0440] Step 3:

[0441] Server acquires data from external information systems

[0442] The server calls the API of the external information system based on the initial setup data stored in the database to obtain a list of candidate facilities. Specifically, it sends an API request, which includes parameters such as the date and time and the number of participants. It receives the list of candidate facilities as a response from the external system and converts it into an internal data format. The input is the initial setup data and the response from the external API, and the output is the list of candidate facilities.

[0443] Step 4:

[0444] Server extracts allergy information and preferences from an internal database

[0445] The server accesses the company's internal database and extracts information about participants' allergies and preferences using SQL queries. For example, it extracts information such as "employees with a shrimp allergy" or "employees who like sake." The input is participant information and initial setting data, and the output is the extracted allergy information and preference data.

[0446] Step 5:

[0447] Server generates and narrows down the list of candidate facilities

[0448] The server narrows down the list of candidate facilities obtained from the external information system based on the extracted allergy and preference information. Specifically, an algorithm is applied that excludes facilities that use a large number of allergen ingredients and prioritizes facilities that have a wide selection of preferred foods and drinks. The input is the list of candidate facilities, allergy information, and preference information, and the output is the narrowed down list of candidate facilities.

[0449] Step 6:

[0450] Server transmits candidate list to user terminal

[0451] The server sends the narrowed-down candidate facility list to the user's terminal. The user's terminal displays the list of candidate facilities, allowing the user to select one. The input is the narrowed-down candidate facility list, and the output is the transmission of the list to the user's terminal.

[0452] Step 7:

[0453] Recognizing user emotions with an emotion engine

[0454] The emotion engine analyzes emotions in real time using the speed and strength of keyboard typing as well as facial recognition. For example, if the user types hard on the keyboard, it will recognize that the user is feeling stressed. The input is the user's typing behavior and facial image, and the output is analyzed emotional data.

[0455] Step 8:

[0456] Server-based evaluation adjustment of candidate facilities

[0457] The server adjusts the rating of the candidate facilities based on the data obtained from the emotion engine. If the user's emotion indicates dissatisfaction, the server changes the ranking of the list to give priority to other candidate facilities. The input is emotion data and a list of candidate facilities, and the output is a list of candidate facilities with adjusted ratings.

[0458] Step 9:

[0459] Check and select from the candidate list on the user's device

[0460] The user checks the list of candidate facilities with adjusted ratings and selects the most suitable facility (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The selected information is sent to the server in real time. The input is the list of candidate facilities, and the output is the selected facility information and seating arrangement information.

[0461] Step 10:

[0462] Transmission of selection information by user terminal to server

[0463] After the user confirms the selected information, they click the "Confirm" button to send the selected information to the server. The input is the selected facility information and seating arrangement information, and the output is the information sent to the server.

[0464] Step 11:

[0465] Server saves selection information in a database

[0466] The server receives the selection information sent from the user terminal and stores this data in a database. Specifically, the received data is temporarily stored and then inserted into the database using an SQL query. The input is the selection information, and the output is a notification that the data has been saved to the database.

[0467] Step 12:

[0468] Application procedures using a server-based internal approval system

[0469] The server accesses the internal approval system based on the selected facility information, enters the necessary data, and automatically clicks the application button. This automatically completes the approval process for hosting the social gathering. The input is the selected facility information, and the output is a notification of application completion to the approval system.

[0470] Step 13:

[0471] Automatic facility reservation by server

[0472] The server automatically completes the reservation process for the selected facility via an external API. Specifically, it sends an API request and inputs the necessary information to confirm the facility reservation. The input is the selected facility information and the API request, and the output is a reservation completion notification.

[0473] Step 14:

[0474] Server-based payment processing

[0475] The server accesses the company's payment system and automatically completes the payment process for the social gathering. Specifically, it inputs the necessary payment information into the system, confirms it, and completes the process. The input is the reservation information and payment information, and the output is a payment completion notification.

[0476] The above processing steps make the management of the social gathering more efficient and increase the satisfaction of the participants.

[0477] (Application example 2)

[0478] 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."

[0479] Conventional social gathering planning tasks involve manually collecting information on participants' allergies and preferences, and then selecting potential restaurants, which is extremely cumbersome. Furthermore, since recommendations do not take into account the user's emotions or reactions, it is difficult to select the most suitable restaurant. This results in lower user satisfaction and requires a great deal of effort to plan social gatherings.

[0480] 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 a user to input the department and desired date and time of the social gathering; means for acquiring information on candidate restaurants from an external information system based on the department and desired date and time of the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate restaurant information acquired by the acquisition means; means for narrowing down the candidate restaurants based on the information extracted by the extraction means and presenting a candidate list; means for receiving information on a restaurant selected by the user from the candidate list; means for automatically making reservations and payments for the social gathering based on the selected information; and means for recognizing the user's emotions and optimizing the recommendation of candidate restaurants based on their preferences and emotional data. This makes it possible to recommend optimal restaurants based not only on the participants' allergies and preferences but also on their emotions, improving user satisfaction and streamlining the organizer's work.

[0481] The "means for the user to input the department that will be participating in the social gathering and the desired date and time" is an interface for the user to input the name of the department to which the user belongs and the desired date and time for the social gathering into the system.

[0482] "Means for obtaining information on candidate stores from an external information system" refers to a function in which the server uses an external database or API to collect information on stores that have availability on a specified date and time.

[0483] The "means for extracting participant allergy information and preference information from an internal company database" is a function for extracting allergy and food preference information for each participant from a database stored within the company.

[0484] "Means for narrowing down candidate stores and presenting a candidate list" is a function that narrows down store information based on extracted allergy and preference information and presents the results to the user as a list.

[0485] The "means for receiving information on the store selected from the candidate list by the user" is an interface that allows the system to receive information on the candidate store selected by the user.

[0486] The "means for automatically making reservations and making payments for the social gathering based on the selection information" is a function that automatically makes reservations at the restaurant selected by the user and completes the necessary payments.

[0487] "A means of recognizing users' emotions and optimizing the recommendation of candidate stores based on their preferences and emotional data" refers to a function that analyzes emotional data from users' facial expressions and input methods, and adjusts store recommendations in real time based on that data.

[0488] The present invention is a system for improving the efficiency of organizing a social gathering and optimizing and recommending candidate stores based on the user's emotions. Specific embodiments for carrying out the present invention are described below.

[0489] Initial Setup

[0490] 1. User terminal: The user logs in to the terminal and enters the department that will be participating and the desired date and time on the "Social Gathering Settings" screen. Next, the purpose of the social gathering is entered and this information is sent.

[0491] 2. Server: Receives the initial setup data entered by the user and stores it in a database. This data includes basic information such as department, date and time, and purpose of the social gathering.

[0492] Candidate proposals

[0493] 1. Server: Based on the saved initial setting data, obtain information on candidate stores from an external information system. Use the API to obtain a list of stores that are available on the specified date and time.

[0494] 2. Server: Extracts allergy and preference information for each participant from the company database. For example, "allergy to shrimp" or "prefers sake."

[0495] 3. Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list.

[0496] 4. Server: The narrowed down list of candidates is sent to the user's device and suggested to the user.

[0497] Utilizing the Emotion Engine

[0498] 1. Emotion engine: Recognizes emotions in real time based on user input. For example, it analyzes emotions using keyboard strength and speed, facial recognition, etc.

[0499] 2. Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates user dissatisfaction, it will prioritize and suggest another candidate.

[0500] 3. User device: The user reviews the list of candidates and selects the most suitable restaurant and seating arrangement. The order of presentation is adjusted in real time based on emotional feedback.

[0501] Candidate selection and confirmation

[0502] 1. User terminal: The user sends the selection information to the server.

[0503] 2. Server: Receives the selection information sent from the user terminal and stores it in a database.

[0504] Automatic Processing

[0505] 1. Server: Based on the selected information, the internal approval system is accessed and the application procedure for hosting the social gathering is automatically carried out. The necessary information is entered and the application is submitted.

[0506] 2. Server: Automatically reserve the selected store using an external API. Enter reservation information and confirm the store reservation via the API.

[0507] 3. Server: Automates the payment process and completes the payment for the social gathering. It accesses the company's payment system and completes the payment for the reservation.

[0508] Specific examples

[0509] For example, imagine a user walking through a virtual store wearing smart glasses. The smart glasses capture the user's face in real time and analyze their emotions. If the emotional data indicates that the user is excited about a particular product, the system will prioritize recommending products in that category. If the emotional data indicates dissatisfaction, the system will prioritize recommending other candidates.

[0510] Example prompts to input to the generative AI model:

[0511] Give an example of a virtual store application that recommends products based on user preference and emotional data. The application is used in smart glasses and recognizes the user's emotions in real time and recommends appropriate products.

[0512] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0513] Step 1:

[0514] User terminal: The user logs in to the terminal and enters the participating departments and desired date and time on the "Social Gathering Settings" screen. This sends the data of participating departments and desired date and time entered by the user to the system. This input data is output in the form of participating departments, desired date and time, purpose of the social gathering, etc.

[0515] Step 2:

[0516] Server: Receives the initial setting data sent from the user terminal and stores it in a database. Here, the input data is temporarily stored and converted into base data for subsequent processing. The output is structured data stored in the database.

[0517] Step 3:

[0518] Server: Based on the saved initial setup data, obtains information on candidate stores from an external information system. Specifically, a list of stores with availability on the specified date and time is obtained from the external information system using an API. The input to this process is the initial setup data, and the output is a list of store information.

[0519] Step 4:

[0520] Server: Extracts allergy and preference information for each participant from the company database. Specifically, it extracts data fields that represent allergy information and food and beverage preferences. The input is the user's department or personal identification information, and the output is the allergy and preference information for the corresponding participant.

[0521] Step 5:

[0522] Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list. This process selects and lists only stores that meet specific conditions. The input is the extracted participant information and a list of store information, and the output is a filtered list of candidate stores.

[0523] Step 6:

[0524] Server: Sends the filtered candidate list to the user's device and makes suggestions to the user. The user can select the best store based on this list. The input is the filtered candidate store list, and the output is the store list sent to the user's device.

[0525] Step 7:

[0526] Emotion engine: Recognizes emotions in real time based on user input. Specifically, it analyzes emotional data from facial recognition and keyboard input. The input is real-time user data, and the output is analyzed emotional data.

[0527] Step 8:

[0528] Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates user dissatisfaction, other candidates are presented preferentially. The input is emotion data and a list of candidate stores, and the output is an adjusted list of candidate stores.

[0529] Step 9:

[0530] User device: The user reviews the candidate list and selects the most suitable restaurant and seating arrangement. The order of the list presentation is adjusted in real time based on emotional feedback during the selection process. The input is the adjusted candidate restaurant list, and the output is the restaurant information selected by the user.

[0531] Step 10:

[0532] User terminal: Sends the store information selected by the user to the server. This information includes the selected store name and desired reservation time. The input is the information selected by the user, and the output is the store information sent to the server.

[0533] Step 11:

[0534] Server: Receives the selection information sent from the user terminal and stores it in a database. The input is the store information selected by the user, and the output is the selection information stored in the database.

[0535] Step 12:

[0536] Server: Based on the selection information, the internal approval system is accessed and the application procedure for hosting the social gathering is automatically carried out. The necessary information is entered and the approval is carried out. The input is the selection information, and the output is the completed approval application information.

[0537] Step 13:

[0538] Server: Automatically reserves the selected store using an external API. Enter the store reservation information and confirm the store reservation via the API. The input is the required reservation information, and the output is confirmation of the completed reservation information.

[0539] Step 14:

[0540] Server: Automates the payment process and completes the payment for the social gathering. It accesses the company's payment system and completes the necessary payment. The input is payment information, and the output is the completed payment confirmation information.

[0541] 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.

[0542] 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.

[0543] 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.

[0544] [Second embodiment]

[0545] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0546] 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.

[0547] 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).

[0548] 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.

[0549] 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.

[0550] 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).

[0551] 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.

[0552] 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.

[0553] 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.

[0554] 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.

[0555] 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.

[0556] 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."

[0557] The present invention is a system for improving the efficiency of organizing a social gathering, in which a user terminal, a server, and an external information providing system work in cooperation with each other. Specific embodiments of the system are described below.

[0558] Initial Setup

[0559] 1. User terminal: The user logs in to the system and enters the department (e.g., sales department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. Next, the user enters the purpose of the social gathering (e.g., welcome party for new employees) and submits this information.

[0560] 2. Server: Receives the initial setting data sent from the user terminal and stores it in a database. This aggregates the basic information about the social gathering and provides the data necessary for subsequent processing.

[0561] Candidate proposals

[0562] Based on the information entered by the user, the following steps are performed:

[0563] 1. Server: Based on the saved initial setting data, obtain candidate store information from an external information system. At this time, use the API to obtain a list of stores with availability on that date and time.

[0564] 2. Server: Extracts allergy and preference information for each employee from the company database. For example, information such as Mr. Sugiyama's allergy to shrimp and Mr. Sato's preference for sake.

[0565] 3. Server: Narrows down the candidate restaurants based on the extracted allergy and preference information and generates a candidate list. For example, it prioritizes restaurants that do not use shrimp or that offer a wide variety of sake.

[0566] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[0567] Candidate selection and confirmation

[0568] 1. User device: The user checks the list of options sent to them and selects the most suitable date, time, restaurant, and seating arrangement. For example, they select a table seat at Izakaya A.

[0569] 2. User terminal: Sends the selection information to the server.

[0570] 3. Server: Receives the selection information sent from the user terminal and stores it in a database.

[0571] Automatic Processing

[0572] The server performs the following automatic processing to reduce the burden on the user.

[0573] 1. Server: Based on the saved selection information, the server automatically accesses the internal approval system and processes the application for hosting a social gathering. The server automatically enters the necessary information (e.g., the date, time, location, and number of people for the social gathering) and clicks the application button.

[0574] 2. Server: Automatically reserve the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[0575] 3. Server: Processes payments and automates payments for social gatherings. Payments for reservations are completed through the company's payment system, eliminating the need for out-of-pocket payments.

[0576] Specific examples

[0577] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information about available restaurants, extracts allergy information from the internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of candidates such as "Izakaya A" and "Izakaya B," and the user selects "Izakaya A," which is then sent to the server. Based on this information, the server submits a request to the internal approval system, automatically makes a reservation for Izakaya A, and completes payment.

[0578] In this way, this system allows young employees to efficiently carry out the organizing duties of social gatherings without placing a burden on them.

[0579] The processing flow will be explained below.

[0580] Step 1:

[0581] A user logs in to the system using a terminal, and enters a username and password on the login screen for authentication.

[0582] Step 2:

[0583] The user opens the "Social Gathering Settings" screen and enters the participating department (e.g., Sales Department) and the desired date and time (e.g., 19:00 on March 15th).

[0584] Step 3:

[0585] The user inputs the purpose of the social gathering (e.g., welcome party for new employees) and submits the setting data.

[0586] Step 4:

[0587] The server receives the initial setting data sent from the user terminal and stores the received data in a database.

[0588] Step 5:

[0589] The server transmits a request to acquire information on candidate stores from an external information providing system based on the initial setting data stored in the database.

[0590] Step 6:

[0591] The server obtains a list of stores with availability on the date and time from an external information providing system and analyzes the obtained data.

[0592] Step 7:

[0593] The server extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[0594] Step 8:

[0595] The server narrows down the candidate stores based on the extracted allergy information and preference information and generates a candidate list.

[0596] Step 9:

[0597] The server transmits the narrowed candidate list to the user terminal.

[0598] Step 10:

[0599] The user checks the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats).

[0600] Step 11:

[0601] The user sends the selection information to the server.

[0602] Step 12:

[0603] The server receives the selection information sent from the user terminal and stores it in a database.

[0604] Step 13:

[0605] Based on the selected information saved on the server, the user accesses the internal approval system and applies for hosting a social gathering. The required information is automatically entered and the user clicks the application button.

[0606] Step 14:

[0607] The server automatically reserves the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[0608] Step 15:

[0609] The server processes the payment and automatically pays for the social gathering, accessing the company's payment system to complete the payment for the reservation.

[0610] Example 1

[0611] 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."

[0612] Conventionally, the work of organizing a social gathering has been extremely busy, requiring time and effort, especially when selecting the most suitable restaurant while taking into account the allergies and preferences of the participants, and then making reservations and making payments. Furthermore, when internal approval procedures are required, the procedures are often done manually, which can lead to errors and delays in operations. The present invention aims to solve these problems and provide a system for smoothly and efficiently organizing social gatherings.

[0613] 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.

[0614] In this invention, the server includes: means for a user to input the department and desired date and time for the social gathering; means for acquiring information on candidate restaurants from an external information system based on the department and desired date and time for the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate restaurant information acquired by the acquisition means; means for narrowing down the candidate restaurants based on the information extracted by the extraction means and presenting a candidate list; means for receiving information on a restaurant selected from the candidate list by the user; means for automatically making reservations and payments for the social gathering based on the selected information; and means for automatically applying for the hosting of the social gathering to an internal approval system. This significantly reduces the cumbersome manual organizing work performed by the user and enables efficient and consistent planning, reservation, and payment procedures for the social gathering.

[0615] "User" refers to the user who logs into the system and sets up the social gathering.

[0616] A "social gathering" refers to a social gathering where participating departments and participants come together.

[0617] "Participating Departments" refers to the specific departments within an organization that will participate in the social gathering.

[0618] The "desired date and time" refers to the date and time designated by the user as the date and time for the social gathering.

[0619] The term "external information providing system" refers to an external information service that the server uses to obtain information on candidate stores.

[0620] "Server" refers to the central computing resource that receives input information from users and performs various processing.

[0621] "Candidate store" refers to a store proposed as the location for the social gathering.

[0622] "Internal database" refers to the internal information management system that stores participants' allergy and preference information.

[0623] "Allergy information" refers to information regarding a participant's allergic reaction to a particular food ingredient or component.

[0624] "Preference information" refers to information about participants' particular preferences for certain foods and beverages.

[0625] "Candidate list" refers to a list of candidate stores narrowed down by the server.

[0626] "Selection information" refers to information about the store or other items selected by the user from the candidate list.

[0627] "Reservation" refers to the process of reserving a store selected as the venue for a social gathering.

[0628] "Payment" refers to the process of completing the financial cancellation of a social gathering booking.

[0629] An "internal approval system" refers to a system for handling approval and application procedures within a company.

[0630] This invention is a system for efficiently managing the organization of social gatherings. Specifically, it involves the cooperation of a user terminal, a server, and an external information system. This system receives social gathering setting data from the user, obtains restaurant information from the external information system, extracts allergy and preference information from an internal database, suggests the most suitable restaurant based on that data, and automatically handles reservations and payment procedures.

[0631] Hardware and Software Used

[0632] User device: A computer or smartphone with an internet browser.

[0633] Server: Database management system (DBMS), browser automation tool (e.g., Selenium), API client for connecting to external APIs.

[0634] External information system: External store information services and APIs.

[0635] Initial Setup

[0636] User terminal: The user logs in to the system and accesses the social gathering setting screen. There, the user enters the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., welcome party for new employees), and clicks the send button. This sends the entered data to the server.

[0637] Candidate proposals

[0638] Server: The server receives the data sent from the user's device and stores it in a database. Next, it calls the API of an external information system based on the stored data and obtains information on candidate stores that have availability on the desired date and time. It then extracts allergy and preference information from the internal database and compares it with the obtained store information to narrow down the list of stores. As a result of the filtering, the most suitable candidate stores are selected and sent to the user's device as a candidate list.

[0639] Candidate selection and confirmation

[0640] User device: The user checks the received list of candidate stores and selects the most suitable store and date / time. For example, they can select "a table seat at Izakaya A." The selected information is sent to the server.

[0641] Automatic Processing

[0642] Server: The server saves the received selection information in a database and uses that information to access the internal approval system. It then uses a browser automation tool (e.g., Selenium) to enter the necessary information into a form and complete the application process. It then automatically reserves the selected store using an external API and automatically makes payment for the reservation through the company's payment system.

[0643] Specific examples

[0644] For example, if a user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request, the server will call an external API to obtain information about available restaurants. It will then extract allergy information from the internal database and narrow down the list of candidate restaurants. A list of candidates such as "Izakaya A" and "Izakaya B" will be presented to the user, and the user will select "Izakaya A," which will be sent to the server. The server will then submit a request using the internal approval system based on that information, automatically reserving Izakaya A, and completing payment.

[0645] Prompt Sentence Examples

[0646] "Please suggest a restaurant where we can hold a welcome party for new employees of the sales department at 7:00 PM on March 15th. Mr. Sugiyama is allergic to shrimp, and Mr. Sato prefers sake."

[0647] According to this invention, the user can efficiently carry out complicated organizing tasks, and the tasks can be made smoother.

[0648] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0649] Program processing flow

[0650] Step 1:

[0651] User terminal: The user logs in to the system and opens the "Social Gathering Settings" screen. Here, the user enters the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., a welcome party for new employees), and clicks the send button.

[0652] Input: Participating department, desired date and time, purpose of the social gathering.

[0653] Output: Initial configuration data is sent to the server.

[0654] Step 2:

[0655] Server: The server receives the initial setting data sent from the user terminal and stores it in a database. This data is used in subsequent processing.

[0656] Input: Initial setting data sent from the user terminal.

[0657] Output: Initial configuration data stored in the database.

[0658] Step 3:

[0659] Server: Based on the saved initial setting data, the server calls the API of the external information system to obtain information on candidate stores that have availability on the desired date and time.

[0660] Input: Initial setting data stored in the database.

[0661] Output: A list of candidate stores obtained from an external API.

[0662] Step 4:

[0663] Server: The server extracts allergy and preference information from the company database. It uses SQL queries to retrieve allergy and preference information for each employee.

[0664] Input: Employee allergy and preference information.

[0665] Output: Extracted allergy and preference information.

[0666] Step 5:

[0667] Server: The server compares the acquired store information with the employee's allergy and preference information to generate a list of optimal candidate stores. For example, if an employee is allergic to shrimp, it will select a store that does not use shrimp. Also, if an employee likes sake, it will prioritize stores with a wide selection of sake.

[0668] Input: List of potential stores, allergy information, and preference information.

[0669] Output: A narrowed down list of potential stores.

[0670] Step 6:

[0671] Server: The server sends the narrowed down list of candidate stores to the user's terminal.

[0672] Input: Narrowed down list of potential stores.

[0673] Output: A list of candidate stores sent to the user's device.

[0674] Step 7:

[0675] User device: The user checks the list of candidate stores and selects the most suitable store and date and time. For example, they select "a table seat at Izakaya A."

[0676] Input: List of potential stores.

[0677] Output: Selected store information.

[0678] Step 8:

[0679] User terminal: The user sends the selection information to the server.

[0680] Input: Store information selected by the user.

[0681] Output: The selection information sent to the server.

[0682] Step 9:

[0683] Server: The server receives the selection information sent from the user terminal and stores it in a database. This selection information is used to make reservations for social gatherings and process payments.

[0684] Input: Selection information sent from the user terminal.

[0685] Output: Selection information stored in a database.

[0686] Step 10:

[0687] Server: The server accesses the internal approval system based on the saved selection information and automatically processes the application for hosting the social gathering. It uses a browser automation tool (e.g., Selenium) to enter the required information into the form and complete the application.

[0688] Input: Selection information stored in the database.

[0689] Output: Application information sent to the approval system.

[0690] Step 11:

[0691] Server: The server automatically reserves the selected store using an external API. The server sends the reservation information via the API and confirms the reservation.

[0692] Input: Selection information stored in the database.

[0693] Output: Confirmed store reservation information.

[0694] Step 12:

[0695] Server: The server automatically processes the booking payment through the company's payment system, inputs the payment information into the system, and the payment is completed.

[0696] Input: Selection information stored in the database, and payment information.

[0697] Output: The completed payment transaction.

[0698] This allows users to significantly reduce the tedious manual organizing work required, and enables them to efficiently and consistently plan, book, and pay for social gatherings.

[0699] (Application example 1)

[0700] 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."

[0701] In today's business environment, organizing social gatherings and managing materials within factories require a lot of time and effort. Coordinating social gatherings, arranging materials, and selecting transport routes are particularly labor-intensive and prone to errors. Furthermore, there is a lack of integrated systems that streamline these tasks and reduce the burden on personnel. Therefore, there is a need for a system that can efficiently organize social gatherings and manage materials within factories.

[0702] 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.

[0703] In this invention, the server includes: means for inputting the departments and desired date and time of the social gathering from a user; means for acquiring information on candidate stores from an external information system based on the departments and desired date and time of the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate store information acquired by the acquisition means; means for narrowing down the candidate stores based on the information extracted by the extraction means and presenting a candidate list; means for receiving store information selected from the candidate list by the user; means for automatically making reservations and payments for the social gathering based on the selected information; means for the user to input the type, quantity, and priority of materials via smart glasses; means for acquiring inventory information from the external information system based on the input data and generating optimal placement locations and transportation route candidates; means for receiving the placement locations and transportation routes selected by the user; means for controlling a robot to transport materials based on the selected information; and means for automatically completing payment procedures for materials via the external information system. This makes it possible to centrally improve the efficiency of social gathering planning and factory material management operations.

[0704] "User" refers to the entity that uses this system to set up social gatherings and manage materials.

[0705] A "social gathering" refers to a gathering held within a company or organization to deepen friendships.

[0706] "Participating departments" refer to specific departments within an organization that will participate in the social gathering.

[0707] "Desired date and time" refers to the date and time set by the user for the social gathering to be held.

[0708] An "external information provision system" refers to a system for obtaining necessary information from outside.

[0709] "Information on candidate stores" refers to information on potential locations for social gatherings and materials management.

[0710] "Allergy Information" refers to information about any hypersensitivity a participant or employee may have to a particular substance.

[0711] "Preference information" refers to information about the types of food, drinks, and materials preferred by participants and employees.

[0712] A "candidate list" refers to a list of narrowed-down candidate stores and locations.

[0713] "Selection information" refers to information about the specific store or location selected by the user from the candidate list.

[0714] A "reservation" refers to the process of reserving a specific date, time, and location in advance.

[0715] "Payment process" refers to the process of paying for services or goods.

[0716] "Smart glasses" refers to a glasses-type device with augmented reality capabilities that can display information.

[0717] "Type of material" refers to the type of specific supplies or materials required for a factory or operation.

[0718] "Quantity" refers to the specific number of units of a material.

[0719] "Priority" refers to the order in which processing or execution should be carried out and the degree of importance.

[0720] "Inventory information" refers to information about materials and products currently held by suppliers and in warehouses.

[0721] "Location" refers to a location other than the specific location where materials should be placed.

[0722] A "transport route" refers to the optimal route for transporting materials or goods.

[0723] A "robot" is a machine that performs tasks automatically according to programmed instructions.

[0724] The present invention provides a system for improving the efficiency of organizing social gatherings and managing materials in factories. The following specific embodiments will be described in which a user terminal, a server, and an external information providing system work in cooperation with each other.

[0725] Initial Setup

[0726] 1. User terminal: The user logs in to the system and enters the department and desired date and time on the "Social Gathering Settings" screen. Next, the purpose of the social gathering is entered and this information is transmitted. Similarly, in the case of factory material management, the type, quantity, and priority of materials are entered via smart glasses and transmitted.

[0727] Hardware used: Smartphone, smart glasses

[0728] -Example: A user schedules a welcome party for new employees in the sales department on March 15th at 7:00 PM.

[0729] 2. Server: Receives the initial setting data sent from the user terminal and stores it in the database. This aggregates basic information about the social gathering and materials management, and provides the data necessary for subsequent processing.

[0730] Software used: MySQL database

[0731] Candidate proposals

[0732] 1. Server: Based on the saved initial setup data, obtains candidate store information from an external information system. In the case of factory material management, obtains inventory information from the external information system. In this case, obtains the necessary information using an API.

[0733] Software used: RESTful API

[0734] -Example: The server retrieves the list of available stores and material inventory information at 19:00 on March 15th.

[0735] 2. Server: Extracts information about participants' allergies and preferences from an internal database. In the case of factory materials management, extracts information about material storage locations and the location of transport robots from an internal database.

[0736] Software used: MySQL database

[0737] -Example: The server extracts allergy and preference information and identifies where ingredients are stored.

[0738] 3. Server: Based on the extracted information, the server narrows down the candidates and generates a candidate list. Similarly, in the case of factory material management, it generates candidates for optimal placement locations and transport routes.

[0739] Software used: Data filtering algorithm

[0740] -Example: Nominate stores that do not use shrimp or that have a wide variety of sake. Suggest the optimal transportation route for materials.

[0741] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[0742] Software used: RESTful API

[0743] -Example: Suggest a list of "Izakaya A" and "Izakaya B" to the user.

[0744] Candidate selection and confirmation

[0745] 1. User terminal: The user checks the list of candidates sent and selects the optimal date, time, restaurant, and seating arrangement. Similarly, in the case of factory materials management, the optimal placement location and transportation route are selected.

[0746] -Example: Select a table seat at Izakaya A.

[0747] 2. User terminal: Sends the selection information to the server.

[0748] Hardware used: Smartphone, smart glasses

[0749] 3. Server: Receives the selection information sent from the user terminal and stores it in a database.

[0750] Software used: MySQL database

[0751] Automatic Processing

[0752] 1. Server: Based on the saved selection information, the server automatically accesses the internal approval system and processes the application for hosting a social gathering. Similarly, in the case of factory materials management, the server automatically orders materials.

[0753] Software used: RESTful API, approval system

[0754] 2. Server: Automatically reserves the selected store using an external API. Similarly, in the case of factory material management, it controls the robot according to the transport route.

[0755] Software used: RESTful API, robot control software

[0756] 3. Server: Processes payment procedures and automatically pays for the social gathering. Similarly, in the case of factory materials management, it automatically processes payment procedures for materials.

[0757] Software used: Electronic payment system

[0758] Specific examples

[0759] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information about available restaurants, extracts allergy and preference information from the internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of options such as "Izakaya A" and "Izakaya B," and the user selects "Izakaya A," which is then sent to the server. Based on this information, the server submits a request to the internal approval system, automatically makes a reservation for Izakaya A, and completes payment.

[0760] Example prompts to be input to the generative AI model:

[0761] "Write a system for streamlining the management and transportation of materials within a factory. The factory manager must use smart glasses to input the type, quantity, and priority of materials, and the system must retrieve inventory information from an external information system and suggest the optimal location and transportation route. Also, once the selection is confirmed, the system must include a function to control a robot, order materials externally, and complete the payment procedure."

[0762] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0763] Step 1:

[0764] Entering initial settings

[0765] Device: Using smart glasses or a smartphone, the user enters the participating department (e.g., sales department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. In addition, in the case of factory material management, the user also enters the type of material (e.g., aluminum plate), quantity (e.g., 500 sheets), and priority (e.g., high).

[0766] Input: Department, desired date and time, purpose (for social gatherings) or material type, quantity, and priority (for materials management).

[0767] Output: The entered configuration data.

[0768] Operation: The user terminal sends the entered data to the server.

[0769] Step 2:

[0770] Saving the setting data

[0771] Server: Receives the initial setting data sent from the device and stores it in a database.

[0772] Input: Initialization data.

[0773] Output: Configuration data stored in the database.

[0774] How it works: The server stores the data in a MySQL database.

[0775] Step 3:

[0776] Obtaining external information

[0777] Server: Based on the saved initial setting data, obtain information on candidate stores or inventory information from an external information system. Obtain the necessary information using API.

[0778] Input: Saved initial setting data.

[0779] Output: Store information or inventory information obtained from an external information system.

[0780] How it works: The server calls and receives data through a RESTful API.

[0781] Step 4:

[0782] Extracting internal data

[0783] Server: Extracts information on participants' allergies and preferences from an internal database, as well as information on storage locations of materials and transport robots.

[0784] Input: Saved configuration data.

[0785] Output: Extracted allergy information, preference information, storage location of materials, and location information of the transport robot.

[0786] How it works: The server queries and extracts information from a MySQL database.

[0787] Step 5:

[0788] Generate candidate list

[0789] Server: Based on the extracted information, narrow down the candidate stores or material locations and transport routes.

[0790] Inputs: Information from external information systems and internal databases.

[0791] Output: A candidate list.

[0792] How it works: The server applies a data filtering algorithm to generate a candidate list.

[0793] Step 6:

[0794] Presenting a candidate list

[0795] Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[0796] Input: Suggestion list.

[0797] Output: The candidate list displayed on the user's terminal.

[0798] How it works: The server sends data via a RESTful API.

[0799] Step 7:

[0800] Candidate Selection

[0801] Terminal: The user reviews the list of options sent and selects the best date, time, restaurant, seating arrangement, or location and delivery route.

[0802] Input: Suggestion list.

[0803] Output: Selected information.

[0804] How it works: The user makes a selection on their smart glasses or smartphone and sends it to the server.

[0805] Step 8:

[0806] Save selection information

[0807] Server: Receives the selection information sent from the user terminal and stores it in a database.

[0808] Input: Selection information.

[0809] Output: Selection information stored in a database.

[0810] How it works: The server stores the selection information in a MySQL database.

[0811] Step 9:

[0812] Automatic processing (reservation of social gatherings)

[0813] Server: Based on the selected information, the internal approval system is automatically accessed and the application process for holding the social gathering is carried out.

[0814] Input: Selection information.

[0815] Output: Notification of application completion to the approval system.

[0816] How it works: The server sends the application data via a RESTful API.

[0817] Step 10:

[0818] Automatic processing (store reservations, material transport)

[0819] Server: Automatically reserves selected stores using external APIs, and in the case of factory material management, controls robots to transport materials.

[0820] Input: Selection information.

[0821] Output: Reservation Completed Notification or Material Delivery Completed Notification.

[0822] Action: The server executes the operation using an external API or robot control software.

[0823] Step 11:

[0824] Payment process

[0825] Server: Automatically pay for social gatherings or materials.

[0826] Enter: Reservation or material delivery information.

[0827] Output: Payment completion notification.

[0828] What happens: The server completes the payment using an electronic payment system.

[0829] 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.

[0830] This invention is a system for improving the efficiency of organizing a social gathering, and involves the cooperation of a user terminal, a server, an external information providing system, and an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[0831] Initial Setup

[0832] 1. User terminal: The user logs in to the system and enters the participating department (e.g., Sales Department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. Next, the user enters the purpose of the social gathering (e.g., a welcome party for new employees) and submits this information.

[0833] 2. Server: Receives the initial setting data sent from the user terminal and stores it in the database. This data includes basic information such as department, date, and purpose.

[0834] Candidate proposals

[0835] Based on the information entered by the user, the following steps are performed:

[0836] 1. Server: Based on the saved initial setting data, obtain information on candidate stores from an external information system. Use the API to obtain a list of stores that are available on that date and time.

[0837] 2. Server: Extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[0838] 3. Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list.

[0839] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[0840] Utilizing the Emotion Engine

[0841] 1. Emotion engine: Recognizes emotions in real time based on user input. For example, it analyzes emotions based on the strength and speed of keyboard input, facial recognition, etc.

[0842] 2. Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates dissatisfaction with the user, it will prioritize and suggest other candidates.

[0843] 3. User device: The user reviews the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The presentation order is adjusted in real time based on emotional feedback.

[0844] Candidate selection and confirmation

[0845] 1. User terminal: The user sends the selection information to the server.

[0846] 2. Server: Receives the selection information sent from the user terminal and stores it in a database.

[0847] Automatic Processing

[0848] The server performs the following automatic processing to reduce the burden on the user.

[0849] 1. Server: Based on the selected information, the internal approval system is accessed and the application procedure for hosting a social gathering is automatically carried out. The required information is entered and the application button is clicked.

[0850] 2. Server: Automatically reserve the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[0851] 3. Server: Processes payments and automates payments for social gatherings. Accesses the company's payment system and completes payments for reservations.

[0852] Specific examples

[0853] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information on available restaurants, extracts allergy information from the company's internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of candidates such as "Izakaya A" and "Izakaya B," but adjusts the order and content of the list in real time if the user expresses emotional dissatisfaction. Once the user has made the optimal selection, the server submits an application to the company's internal approval system, automatically reserving the selected restaurant, "Izakaya A," and completing payment.

[0854] In this way, this system allows junior employees to efficiently carry out the organizing duties of a social gathering while taking into consideration the emotional state of the user and without placing a burden on them.

[0855] The processing flow will be explained below.

[0856] Step 1:

[0857] A user logs in to the system using a terminal, and enters a username and password on the login screen for authentication.

[0858] Step 2:

[0859] The user opens the "Social Gathering Settings" screen and enters the participating department (e.g., Sales Department) and the desired date and time (e.g., 19:00 on March 15th).

[0860] Step 3:

[0861] The user inputs the purpose of the social gathering (e.g., a welcome party for new employees), confirms that the setting is to activate the emotion engine, and then transmits the setting data.

[0862] Step 4:

[0863] The server receives the initial setting data sent from the user terminal and stores the received data in a database.

[0864] Step 5:

[0865] The server transmits a request to acquire information on candidate stores from an external information providing system based on the initial setting data stored in the database.

[0866] Step 6:

[0867] The server obtains a list of stores with availability on the date and time from an external information providing system and analyzes the obtained data.

[0868] Step 7:

[0869] The server extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[0870] Step 8:

[0871] The server narrows down the candidate stores based on the extracted allergy information and preference information and generates a candidate list.

[0872] Step 9:

[0873] The server transmits the narrowed candidate list to the user terminal.

[0874] Step 10:

[0875] The user's device will display a list of candidates, and the emotion engine will begin to recognize the user's emotions, for example, by analyzing facial recognition and keyboard typing speed.

[0876] Step 11:

[0877] The user checks the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The emotion engine analyzes the user's emotions in real time, and if the user is dissatisfied, the server readjusts the order of the candidate list.

[0878] Step 12:

[0879] The user sends the selection information to the server.

[0880] Step 13:

[0881] The server receives the selection information sent from the user terminal and stores it in a database.

[0882] Step 14:

[0883] Based on the selected information saved on the server, the user accesses the internal approval system and applies for hosting a social gathering. The required information is automatically entered and the user clicks the application button.

[0884] Step 15:

[0885] The server automatically reserves the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[0886] Step 16:

[0887] The server processes the payment and automatically pays for the social gathering, accessing the company's payment system to complete the payment for the reservation.

[0888] Example 2

[0889] 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."

[0890] Planning and running social gatherings is an important part of modern business operations, but doing it manually takes a lot of time and effort. It is also difficult to select an appropriate venue while taking into account the individual preferences and allergy information of participants. Furthermore, satisfaction would be improved if candidate facilities could be prioritized while reflecting the participants' intentions and emotions. However, current systems have difficulty dynamically adjusting the system to take emotional feedback into account. There is a need to solve these issues.

[0891] 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.

[0892] In this invention, the server includes: means for inputting the department and desired date and time of the social gathering from a user terminal; means for acquiring information on candidate facilities from an external information system based on the department and desired date and time of the social gathering input by the input means; means for extracting allergy information and preference information of participants from an internal company database to narrow down the candidate facility information acquired by the acquisition means; means for narrowing down the candidate facilities based on the information extracted by the extraction means and presenting a candidate list; means for receiving facility information selected from the candidate list from the user terminal; means for automatically making reservations and payments for the social gathering based on the selected information; and means including an emotion engine that recognizes emotions in real time in response to user input and adjusting evaluations of candidate facilities based on data obtained from the emotion engine. This makes it possible to efficiently manage social gatherings and increase participant satisfaction.

[0893] A "user terminal" is a device used by a user to perform input operations, and refers to information processing devices such as PCs, smartphones, and tablets.

[0894] "Participating departments" refers to the departments or divisions to which users participating in the social gathering belong.

[0895] The "desired date and time" refers to the specific date and time at which the user wishes to hold the social gathering.

[0896] An "external information provision system" refers to a system or service for obtaining information from outside about potential facilities for social gatherings.

[0897] "Candidate facilities" refer to locations or stores that are candidates for hosting a social gathering.

[0898] "Allergy information" refers to information regarding food allergies held by participants at the social gathering.

[0899] "Preference information" refers to information about the food and drink preferences of participants at the social gathering.

[0900] "Emotion engine" refers to an engine or module that recognizes and analyzes emotions in real time from user input and behavior.

[0901] "Means for adjusting ratings" refers to means for changing the ranking of candidate facilities or lists based on information obtained from the emotion engine.

[0902] "Means for automatically making reservations and payments" refers to means for automating the reservation procedures and payment procedures for facilities selected by the user.

[0903] "Database" means an electronic system for systematically storing information and for searching, retrieving, and updating that information as needed.

[0904] An "internal approval system" refers to a system for obtaining approval for work or events within a company.

[0905] MODE FOR CARRYING OUT THE INVENTION

[0906] The present invention provides a system for efficiently running a social gathering, in which a user terminal, a server, an external information providing system, and an emotion engine that recognizes the user's emotions work in cooperation with each other. Specific embodiments of the system are described below.

[0907] Initial Setup

[0908] Login and input via user terminal

[0909] The user logs in to the system from their user terminal and accesses the "Social Gathering Settings" screen. On this screen, they enter the participating department (e.g., Sales Department) and the desired date and time (e.g., 7:00 PM on March 15th). They then enter the purpose of the social gathering (e.g., welcome party for new employees) and click the "Send" button. User terminals can include PCs, smartphones, and tablets.

[0910] Data reception and storage by the server

[0911] The server receives the initial setting data sent from the user terminal. This data includes department, date and time, purpose, etc. The received data is stored in a database. The database can be MySQL or PostgreSQL.

[0912] Candidate proposals

[0913] Server acquires data from external information systems

[0914] The server then calls the API of an external information system based on the saved initial setting data to obtain a list of candidate facilities that are available on the specified date and time. The external information system may be the Google Places API or Yelp API.

[0915] Server extracts allergy information and preferences from an internal database

[0916] The server extracts allergy and preference information for each participant from the company's internal database. For example, it extracts information such as "employees with shrimp allergies" and "employees who like Japanese sake." SQL queries are used for extraction.

[0917] Server generates and narrows down the list of candidate facilities

[0918] The server narrows down the list of candidate facilities obtained from the external system based on the extracted allergy and preference information. Specifically, an algorithm is applied that excludes facilities that use a large amount of allergen ingredients and prioritizes facilities that have a wide selection of preferred foods and drinks.

[0919] Server transmits candidate list to user terminal

[0920] The narrowed down candidate facility list is transmitted to the user terminal, and candidate facilities are proposed to the user.

[0921] Utilizing the Emotion Engine

[0922] Recognizing user emotions with an emotion engine

[0923] The emotion engine analyzes the user's emotions in real time using the strength and speed of keyboard input, facial recognition, etc. The emotion engine uses Face++ and Emotion API.

[0924] Server-based evaluation adjustment of candidate facilities

[0925] The server adjusts the evaluation of the candidate facilities based on the data obtained from the emotion engine. If the emotion data indicates dissatisfaction with the user, the server changes the order of the list so that other candidate facilities are given priority.

[0926] Check and select from the candidate list on the user's device

[0927] The user checks the updated candidate list and selects the most suitable establishment (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The selected information is sent to the server in real time.

[0928] Candidate selection and confirmation

[0929] Transmission of selection information by user terminal to server

[0930] After the user confirms the selected information, he clicks the "Confirm" button and the selected information is sent to the server.

[0931] Server saves selection information in a database

[0932] The server receives the selection information sent from the user terminal and stores this data in a database.

[0933] Automatic Processing

[0934] Application procedures using a server-based internal approval system

[0935] Based on the selected facility information, the server accesses the internal approval system, inputs the necessary data, and automatically clicks the application button, automatically completing the approval process for holding the social gathering.

[0936] Automatic facility reservation by server

[0937] The server automatically completes the reservation process for the selected facility via an external API, sending an API request and entering the necessary information to confirm the facility reservation.

[0938] Server-based payment processing

[0939] The server accesses the company's payment system and automatically completes the payment procedure for the social gathering, automating all procedures and reducing the burden on the user.

[0940] Specific examples

[0941] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and enters the purpose of the social gathering as "New Employee Welcome Party," then submits the request. The server calls an external API to retrieve information about facilities available on the specified date and time. At the same time, it extracts information from the internal database, such as "employees with shrimp allergies" and "employees who like Japanese sake," and uses this information to narrow down the list of candidate facilities. A list of candidates, such as "Izakaya A" and "Izakaya B," is presented to the user's device, and the emotion engine analyzes the user's emotions in real time, adjusting the order and content of the list if the user indicates dissatisfaction. The user selects "Izakaya A," and the server automatically completes the process from approval request to reservation and payment.

[0942] Prompt Sentence Examples

[0943] Please suggest the best venue for your social gathering based on the following information:

[0944] Participating department: Sales Department

[0945] Preferred date and time: March 15th, 7:00 PM

[0946] Purpose of the social gathering: Welcome party for new employees

[0947] Employee allergy information: We have an employee who is allergic to shrimp.

[0948] Employees' favorite things: Some employees like Japanese sake.

[0949] Display candidate facilities in a list and adjust the order of the list taking into account users' emotional feedback.

[0950] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0951] Step 1:

[0952] Login and input via user terminal

[0953] The user logs into the system using a user terminal. On the "Social Gathering Settings" screen, they enter the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., welcome party for new employees). They then click the "Send" button. This sends the entered data (department, date and time, purpose) to the server. The input is done by the user, and the output is sent to the server as initial setting data.

[0954] Step 2:

[0955] Data reception and storage by the server

[0956] The server receives the initial setup data (department, date and time, purpose) sent from the user terminal. The received data is saved in the database. Specifically, the data is temporarily saved and then inserted into the database using an SQL query. The input is the initial setup data from the user terminal, and the output is a notification that the data has been saved to the database.

[0957] Step 3:

[0958] Server acquires data from external information systems

[0959] The server calls the API of the external information system based on the initial setup data stored in the database to obtain a list of candidate facilities. Specifically, it sends an API request, which includes parameters such as the date and time and the number of participants. It receives the list of candidate facilities as a response from the external system and converts it into an internal data format. The input is the initial setup data and the response from the external API, and the output is the list of candidate facilities.

[0960] Step 4:

[0961] Server extracts allergy information and preferences from an internal database

[0962] The server accesses the company's internal database and extracts information about participants' allergies and preferences using SQL queries. For example, it extracts information such as "employees with a shrimp allergy" or "employees who like sake." The input is participant information and initial setting data, and the output is the extracted allergy information and preference data.

[0963] Step 5:

[0964] Server generates and narrows down the list of candidate facilities

[0965] The server narrows down the list of candidate facilities obtained from the external information system based on the extracted allergy and preference information. Specifically, an algorithm is applied that excludes facilities that use a large number of allergen ingredients and prioritizes facilities that have a wide selection of preferred foods and drinks. The input is the list of candidate facilities, allergy information, and preference information, and the output is the narrowed down list of candidate facilities.

[0966] Step 6:

[0967] Server transmits candidate list to user terminal

[0968] The server sends the narrowed-down candidate facility list to the user's terminal. The user's terminal displays the list of candidate facilities, allowing the user to select one. The input is the narrowed-down candidate facility list, and the output is the transmission of the list to the user's terminal.

[0969] Step 7:

[0970] Recognizing user emotions with an emotion engine

[0971] The emotion engine analyzes emotions in real time using the speed and strength of keyboard typing as well as facial recognition. For example, if the user types hard on the keyboard, it will recognize that the user is feeling stressed. The input is the user's typing behavior and facial image, and the output is analyzed emotional data.

[0972] Step 8:

[0973] Server-based evaluation adjustment of candidate facilities

[0974] The server adjusts the rating of the candidate facilities based on the data obtained from the emotion engine. If the user's emotion indicates dissatisfaction, the server changes the ranking of the list to give priority to other candidate facilities. The input is emotion data and a list of candidate facilities, and the output is a list of candidate facilities with adjusted ratings.

[0975] Step 9:

[0976] Check and select from the candidate list on the user's device

[0977] The user checks the list of candidate facilities with adjusted ratings and selects the most suitable facility (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The selected information is sent to the server in real time. The input is the list of candidate facilities, and the output is the selected facility information and seating arrangement information.

[0978] Step 10:

[0979] Transmission of selection information by user terminal to server

[0980] After the user confirms the selected information, they click the "Confirm" button to send the selected information to the server. The input is the selected facility information and seating arrangement information, and the output is the information sent to the server.

[0981] Step 11:

[0982] Server saves selection information in a database

[0983] The server receives the selection information sent from the user terminal and stores this data in a database. Specifically, the received data is temporarily stored and then inserted into the database using an SQL query. The input is the selection information, and the output is a notification that the data has been saved to the database.

[0984] Step 12:

[0985] Application procedures using a server-based internal approval system

[0986] The server accesses the internal approval system based on the selected facility information, enters the necessary data, and automatically clicks the application button. This automatically completes the approval process for hosting the social gathering. The input is the selected facility information, and the output is a notification of application completion to the approval system.

[0987] Step 13:

[0988] Automatic facility reservation by server

[0989] The server automatically completes the reservation process for the selected facility via an external API. Specifically, it sends an API request and inputs the necessary information to confirm the facility reservation. The input is the selected facility information and the API request, and the output is a reservation completion notification.

[0990] Step 14:

[0991] Server-based payment processing

[0992] The server accesses the company's payment system and automatically completes the payment process for the social gathering. Specifically, it inputs the necessary payment information into the system, confirms it, and completes the process. The input is the reservation information and payment information, and the output is a payment completion notification.

[0993] The above processing steps make the management of the social gathering more efficient and increase the satisfaction of the participants.

[0994] (Application example 2)

[0995] 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."

[0996] Conventional social gathering planning tasks involve manually collecting information on participants' allergies and preferences, and then selecting potential restaurants, which is extremely cumbersome. Furthermore, since recommendations do not take into account the user's emotions or reactions, it is difficult to select the most suitable restaurant. This results in lower user satisfaction and requires a great deal of effort to plan social gatherings.

[0997] 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 a user to input the department and desired date and time of the social gathering; means for acquiring information on candidate restaurants from an external information system based on the department and desired date and time of the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate restaurant information acquired by the acquisition means; means for narrowing down the candidate restaurants based on the information extracted by the extraction means and presenting a candidate list; means for receiving information on a restaurant selected by the user from the candidate list; means for automatically making reservations and payments for the social gathering based on the selected information; and means for recognizing the user's emotions and optimizing the recommendation of candidate restaurants based on their preferences and emotional data. This makes it possible to recommend optimal restaurants based not only on the participants' allergies and preferences but also on their emotions, improving user satisfaction and streamlining the organizer's work.

[0998] The "means for the user to input the department that will be participating in the social gathering and the desired date and time" is an interface for the user to input the name of the department to which the user belongs and the desired date and time for the social gathering into the system.

[0999] "Means for obtaining information on candidate stores from an external information system" refers to a function in which the server uses an external database or API to collect information on stores that have availability on a specified date and time.

[1000] The "means for extracting participant allergy information and preference information from an internal company database" is a function for extracting allergy and food preference information for each participant from a database stored within the company.

[1001] "Means for narrowing down candidate stores and presenting a candidate list" is a function that narrows down store information based on extracted allergy and preference information and presents the results to the user as a list.

[1002] The "means for receiving information on the store selected from the candidate list by the user" is an interface that allows the system to receive information on the candidate store selected by the user.

[1003] The "means for automatically making reservations and making payments for the social gathering based on the selection information" is a function that automatically makes reservations at the restaurant selected by the user and completes the necessary payments.

[1004] "A means of recognizing users' emotions and optimizing the recommendation of candidate stores based on their preferences and emotional data" refers to a function that analyzes emotional data from users' facial expressions and input methods, and adjusts store recommendations in real time based on that data.

[1005] The present invention is a system for improving the efficiency of organizing a social gathering and optimizing and recommending candidate stores based on the user's emotions. Specific embodiments for carrying out the present invention are described below.

[1006] Initial Setup

[1007] 1. User terminal: The user logs in to the terminal and enters the department that will be participating and the desired date and time on the "Social Gathering Settings" screen. Next, the purpose of the social gathering is entered and this information is sent.

[1008] 2. Server: Receives the initial setup data entered by the user and stores it in a database. This data includes basic information such as department, date and time, and purpose of the social gathering.

[1009] Candidate proposals

[1010] 1. Server: Based on the saved initial setting data, obtain information on candidate stores from an external information system. Use the API to obtain a list of stores that are available on the specified date and time.

[1011] 2. Server: Extracts allergy and preference information for each participant from the company database. For example, "allergy to shrimp" or "prefers sake."

[1012] 3. Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list.

[1013] 4. Server: The narrowed down list of candidates is sent to the user's device and suggested to the user.

[1014] Utilizing the Emotion Engine

[1015] 1. Emotion engine: Recognizes emotions in real time based on user input. For example, it analyzes emotions using keyboard strength and speed, facial recognition, etc.

[1016] 2. Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates user dissatisfaction, it will prioritize and suggest another candidate.

[1017] 3. User device: The user reviews the list of candidates and selects the most suitable restaurant and seating arrangement. The order of presentation is adjusted in real time based on emotional feedback.

[1018] Candidate selection and confirmation

[1019] 1. User terminal: The user sends the selection information to the server.

[1020] 2. Server: Receives the selection information sent from the user terminal and stores it in a database.

[1021] Automatic Processing

[1022] 1. Server: Based on the selected information, the internal approval system is accessed and the application procedure for hosting the social gathering is automatically carried out. The necessary information is entered and the application is submitted.

[1023] 2. Server: Automatically reserve the selected store using an external API. Enter reservation information and confirm the store reservation via the API.

[1024] 3. Server: Automates the payment process and completes the payment for the social gathering. It accesses the company's payment system and completes the payment for the reservation.

[1025] Specific examples

[1026] For example, imagine a user walking through a virtual store wearing smart glasses. The smart glasses capture the user's face in real time and analyze their emotions. If the emotional data indicates that the user is excited about a particular product, the system will prioritize recommending products in that category. If the emotional data indicates dissatisfaction, the system will prioritize recommending other candidates.

[1027] Example prompts to input to the generative AI model:

[1028] Give an example of a virtual store application that recommends products based on user preference and emotional data. The application is used in smart glasses and recognizes the user's emotions in real time and recommends appropriate products.

[1029] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1030] Step 1:

[1031] User terminal: The user logs in to the terminal and enters the participating departments and desired date and time on the "Social Gathering Settings" screen. This sends the data of participating departments and desired date and time entered by the user to the system. This input data is output in the form of participating departments, desired date and time, purpose of the social gathering, etc.

[1032] Step 2:

[1033] Server: Receives the initial setting data sent from the user terminal and stores it in a database. Here, the input data is temporarily stored and converted into base data for subsequent processing. The output is structured data stored in the database.

[1034] Step 3:

[1035] Server: Based on the saved initial setup data, obtains information on candidate stores from an external information system. Specifically, a list of stores with availability on the specified date and time is obtained from the external information system using an API. The input to this process is the initial setup data, and the output is a list of store information.

[1036] Step 4:

[1037] Server: Extracts allergy and preference information for each participant from the company database. Specifically, it extracts data fields that represent allergy information and food and beverage preferences. The input is the user's department or personal identification information, and the output is the allergy and preference information for the corresponding participant.

[1038] Step 5:

[1039] Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list. This process selects and lists only stores that meet specific conditions. The input is the extracted participant information and a list of store information, and the output is a filtered list of candidate stores.

[1040] Step 6:

[1041] Server: Sends the filtered candidate list to the user's device and makes suggestions to the user. The user can select the best store based on this list. The input is the filtered candidate store list, and the output is the store list sent to the user's device.

[1042] Step 7:

[1043] Emotion engine: Recognizes emotions in real time based on user input. Specifically, it analyzes emotional data from facial recognition and keyboard input. The input is real-time user data, and the output is analyzed emotional data.

[1044] Step 8:

[1045] Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates user dissatisfaction, other candidates are presented preferentially. The input is emotion data and a list of candidate stores, and the output is an adjusted list of candidate stores.

[1046] Step 9:

[1047] User device: The user reviews the candidate list and selects the most suitable restaurant and seating arrangement. The order of the list presentation is adjusted in real time based on emotional feedback during the selection process. The input is the adjusted candidate restaurant list, and the output is the restaurant information selected by the user.

[1048] Step 10:

[1049] User terminal: Sends the store information selected by the user to the server. This information includes the selected store name and desired reservation time. The input is the information selected by the user, and the output is the store information sent to the server.

[1050] Step 11:

[1051] Server: Receives the selection information sent from the user terminal and stores it in a database. The input is the store information selected by the user, and the output is the selection information stored in the database.

[1052] Step 12:

[1053] Server: Based on the selection information, the internal approval system is accessed and the application procedure for hosting the social gathering is automatically carried out. The necessary information is entered and the approval is carried out. The input is the selection information, and the output is the completed approval application information.

[1054] Step 13:

[1055] Server: Automatically reserves the selected store using an external API. Enter the store reservation information and confirm the store reservation via the API. The input is the required reservation information, and the output is confirmation of the completed reservation information.

[1056] Step 14:

[1057] Server: Automates the payment process and completes the payment for the social gathering. It accesses the company's payment system and completes the necessary payment. The input is payment information, and the output is the completed payment confirmation information.

[1058] 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.

[1059] 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.

[1060] 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.

[1061] [Third embodiment]

[1062] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1063] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1064] 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).

[1065] 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.

[1066] 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.

[1067] 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).

[1068] 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.

[1069] 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.

[1070] 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.

[1071] 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.

[1072] 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.

[1073] 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."

[1074] The present invention is a system for improving the efficiency of organizing a social gathering, in which a user terminal, a server, and an external information providing system work in cooperation with each other. Specific embodiments of the system are described below.

[1075] Initial Setup

[1076] 1. User terminal: The user logs in to the system and enters the department (e.g., sales department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. Next, the user enters the purpose of the social gathering (e.g., welcome party for new employees) and submits this information.

[1077] 2. Server: Receives the initial setting data sent from the user terminal and stores it in a database. This aggregates the basic information about the social gathering and provides the data necessary for subsequent processing.

[1078] Candidate proposals

[1079] Based on the information entered by the user, the following steps are performed:

[1080] 1. Server: Based on the saved initial setting data, obtain candidate store information from an external information system. At this time, use the API to obtain a list of stores with availability on that date and time.

[1081] 2. Server: Extracts allergy and preference information for each employee from the company database. For example, information such as Mr. Sugiyama's allergy to shrimp and Mr. Sato's preference for sake.

[1082] 3. Server: Narrows down the candidate restaurants based on the extracted allergy and preference information and generates a candidate list. For example, it prioritizes restaurants that do not use shrimp or that offer a wide variety of sake.

[1083] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[1084] Candidate selection and confirmation

[1085] 1. User device: The user checks the list of options sent to them and selects the most suitable date, time, restaurant, and seating arrangement. For example, they select a table seat at Izakaya A.

[1086] 2. User terminal: Sends the selection information to the server.

[1087] 3. Server: Receives the selection information sent from the user terminal and stores it in a database.

[1088] Automatic Processing

[1089] The server performs the following automatic processing to reduce the burden on the user.

[1090] 1. Server: Based on the saved selection information, the server automatically accesses the internal approval system and processes the application for hosting a social gathering. The server automatically enters the necessary information (e.g., the date, time, location, and number of people for the social gathering) and clicks the application button.

[1091] 2. Server: Automatically reserve the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[1092] 3. Server: Processes payments and automates payments for social gatherings. Payments for reservations are completed through the company's payment system, eliminating the need for out-of-pocket payments.

[1093] Specific examples

[1094] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information about available restaurants, extracts allergy information from the internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of candidates such as "Izakaya A" and "Izakaya B," and the user selects "Izakaya A," which is then sent to the server. Based on this information, the server submits a request to the internal approval system, automatically makes a reservation for Izakaya A, and completes payment.

[1095] In this way, this system allows young employees to efficiently carry out the organizing duties of social gatherings without placing a burden on them.

[1096] The processing flow will be explained below.

[1097] Step 1:

[1098] A user logs in to the system using a terminal, and enters a username and password on the login screen for authentication.

[1099] Step 2:

[1100] The user opens the "Social Gathering Settings" screen and enters the participating department (e.g., Sales Department) and the desired date and time (e.g., 19:00 on March 15th).

[1101] Step 3:

[1102] The user inputs the purpose of the social gathering (e.g., welcome party for new employees) and submits the setting data.

[1103] Step 4:

[1104] The server receives the initial setting data sent from the user terminal and stores the received data in a database.

[1105] Step 5:

[1106] The server transmits a request to acquire information on candidate stores from an external information providing system based on the initial setting data stored in the database.

[1107] Step 6:

[1108] The server obtains a list of stores with availability on the date and time from an external information providing system and analyzes the obtained data.

[1109] Step 7:

[1110] The server extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[1111] Step 8:

[1112] The server narrows down the candidate stores based on the extracted allergy information and preference information and generates a candidate list.

[1113] Step 9:

[1114] The server transmits the narrowed candidate list to the user terminal.

[1115] Step 10:

[1116] The user checks the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats).

[1117] Step 11:

[1118] The user sends the selection information to the server.

[1119] Step 12:

[1120] The server receives the selection information sent from the user terminal and stores it in a database.

[1121] Step 13:

[1122] Based on the selected information saved on the server, the user accesses the internal approval system and applies for hosting a social gathering. The required information is automatically entered and the user clicks the application button.

[1123] Step 14:

[1124] The server automatically reserves the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[1125] Step 15:

[1126] The server processes the payment and automatically pays for the social gathering, accessing the company's payment system to complete the payment for the reservation.

[1127] Example 1

[1128] 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."

[1129] Conventionally, the work of organizing a social gathering has been extremely busy, requiring time and effort, especially when selecting the most suitable restaurant while taking into account the allergies and preferences of the participants, and then making reservations and making payments. Furthermore, when internal approval procedures are required, the procedures are often done manually, which can lead to errors and delays in operations. The present invention aims to solve these problems and provide a system for smoothly and efficiently organizing social gatherings.

[1130] 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.

[1131] In this invention, the server includes: means for a user to input the department and desired date and time for the social gathering; means for acquiring information on candidate restaurants from an external information system based on the department and desired date and time for the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate restaurant information acquired by the acquisition means; means for narrowing down the candidate restaurants based on the information extracted by the extraction means and presenting a candidate list; means for receiving information on a restaurant selected from the candidate list by the user; means for automatically making reservations and payments for the social gathering based on the selected information; and means for automatically applying for the hosting of the social gathering to an internal approval system. This significantly reduces the cumbersome manual organizing work performed by the user and enables efficient and consistent planning, reservation, and payment procedures for the social gathering.

[1132] "User" refers to the user who logs into the system and sets up the social gathering.

[1133] A "social gathering" refers to a social gathering where participating departments and participants come together.

[1134] "Participating Departments" refers to the specific departments within an organization that will participate in the social gathering.

[1135] The "desired date and time" refers to the date and time designated by the user as the date and time for the social gathering.

[1136] The term "external information providing system" refers to an external information service that the server uses to obtain information on candidate stores.

[1137] "Server" refers to the central computing resource that receives input information from users and performs various processing.

[1138] "Candidate store" refers to a store proposed as the location for the social gathering.

[1139] "Internal database" refers to the internal information management system that stores participants' allergy and preference information.

[1140] "Allergy information" refers to information regarding a participant's allergic reaction to a particular food ingredient or component.

[1141] "Preference information" refers to information about participants' particular preferences for certain foods and beverages.

[1142] "Candidate list" refers to a list of candidate stores narrowed down by the server.

[1143] "Selection information" refers to information about the store or other items selected by the user from the candidate list.

[1144] "Reservation" refers to the process of reserving a store selected as the venue for a social gathering.

[1145] "Payment" refers to the process of completing the financial cancellation of a social gathering booking.

[1146] An "internal approval system" refers to a system for handling approval and application procedures within a company.

[1147] This invention is a system for efficiently managing the organization of social gatherings. Specifically, it involves the cooperation of a user terminal, a server, and an external information system. This system receives social gathering setting data from the user, obtains restaurant information from the external information system, extracts allergy and preference information from an internal database, suggests the most suitable restaurant based on that data, and automatically handles reservations and payment procedures.

[1148] Hardware and Software Used

[1149] User device: A computer or smartphone with an internet browser.

[1150] Server: Database management system (DBMS), browser automation tool (e.g., Selenium), API client for connecting to external APIs.

[1151] External information system: External store information services and APIs.

[1152] Initial Setup

[1153] User terminal: The user logs in to the system and accesses the social gathering setting screen. There, the user enters the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., welcome party for new employees), and clicks the send button. This sends the entered data to the server.

[1154] Candidate proposals

[1155] Server: The server receives the data sent from the user's device and stores it in a database. Next, it calls the API of an external information system based on the stored data and obtains information on candidate stores that have availability on the desired date and time. It then extracts allergy and preference information from the internal database and compares it with the obtained store information to narrow down the list of stores. As a result of the filtering, the most suitable candidate stores are selected and sent to the user's device as a candidate list.

[1156] Candidate selection and confirmation

[1157] User device: The user checks the received list of candidate stores and selects the most suitable store and date / time. For example, they can select "a table seat at Izakaya A." The selected information is sent to the server.

[1158] Automatic Processing

[1159] Server: The server saves the received selection information in a database and uses that information to access the internal approval system. It then uses a browser automation tool (e.g., Selenium) to enter the necessary information into a form and complete the application process. It then automatically reserves the selected store using an external API and automatically makes payment for the reservation through the company's payment system.

[1160] Specific examples

[1161] For example, if a user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request, the server will call an external API to obtain information about available restaurants. It will then extract allergy information from the internal database and narrow down the list of candidate restaurants. A list of candidates such as "Izakaya A" and "Izakaya B" will be presented to the user, and the user will select "Izakaya A," which will be sent to the server. The server will then submit a request using the internal approval system based on that information, automatically reserving Izakaya A, and completing payment.

[1162] Prompt Sentence Examples

[1163] "Please suggest a restaurant where we can hold a welcome party for new employees of the sales department at 7:00 PM on March 15th. Mr. Sugiyama is allergic to shrimp, and Mr. Sato prefers sake."

[1164] According to this invention, the user can efficiently carry out complicated organizing tasks, and the tasks can be made smoother.

[1165] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1166] Program processing flow

[1167] Step 1:

[1168] User terminal: The user logs in to the system and opens the "Social Gathering Settings" screen. Here, the user enters the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., a welcome party for new employees), and clicks the send button.

[1169] Input: Participating department, desired date and time, purpose of the social gathering.

[1170] Output: Initial configuration data is sent to the server.

[1171] Step 2:

[1172] Server: The server receives the initial setting data sent from the user terminal and stores it in a database. This data is used in subsequent processing.

[1173] Input: Initial setting data sent from the user terminal.

[1174] Output: Initial configuration data stored in the database.

[1175] Step 3:

[1176] Server: Based on the saved initial setting data, the server calls the API of the external information system to obtain information on candidate stores that have availability on the desired date and time.

[1177] Input: Initial setting data stored in the database.

[1178] Output: A list of candidate stores obtained from an external API.

[1179] Step 4:

[1180] Server: The server extracts allergy and preference information from the company database. It uses SQL queries to retrieve allergy and preference information for each employee.

[1181] Input: Employee allergy and preference information.

[1182] Output: Extracted allergy and preference information.

[1183] Step 5:

[1184] Server: The server compares the acquired store information with the employee's allergy and preference information to generate a list of optimal candidate stores. For example, if an employee is allergic to shrimp, it will select a store that does not use shrimp. Also, if an employee likes sake, it will prioritize stores with a wide selection of sake.

[1185] Input: List of potential stores, allergy information, and preference information.

[1186] Output: A narrowed down list of potential stores.

[1187] Step 6:

[1188] Server: The server sends the narrowed down list of candidate stores to the user's terminal.

[1189] Input: Narrowed down list of potential stores.

[1190] Output: A list of candidate stores sent to the user's device.

[1191] Step 7:

[1192] User device: The user checks the list of candidate stores and selects the most suitable store and date and time. For example, they select "a table seat at Izakaya A."

[1193] Input: List of potential stores.

[1194] Output: Selected store information.

[1195] Step 8:

[1196] User terminal: The user sends the selection information to the server.

[1197] Input: Store information selected by the user.

[1198] Output: The selection information sent to the server.

[1199] Step 9:

[1200] Server: The server receives the selection information sent from the user terminal and stores it in a database. This selection information is used to make reservations for social gatherings and process payments.

[1201] Input: Selection information sent from the user terminal.

[1202] Output: Selection information stored in a database.

[1203] Step 10:

[1204] Server: The server accesses the internal approval system based on the saved selection information and automatically processes the application for hosting the social gathering. It uses a browser automation tool (e.g., Selenium) to enter the required information into the form and complete the application.

[1205] Input: Selection information stored in the database.

[1206] Output: Application information sent to the approval system.

[1207] Step 11:

[1208] Server: The server automatically reserves the selected store using an external API. The server sends the reservation information via the API and confirms the reservation.

[1209] Input: Selection information stored in the database.

[1210] Output: Confirmed store reservation information.

[1211] Step 12:

[1212] Server: The server automatically processes the booking payment through the company's payment system, inputs the payment information into the system, and the payment is completed.

[1213] Input: Selection information stored in the database, and payment information.

[1214] Output: The completed payment transaction.

[1215] This allows users to significantly reduce the tedious manual organizing work required, and enables them to efficiently and consistently plan, book, and pay for social gatherings.

[1216] (Application example 1)

[1217] 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."

[1218] In today's business environment, organizing social gatherings and managing materials within factories require a lot of time and effort. Coordinating social gatherings, arranging materials, and selecting transport routes are particularly labor-intensive and prone to errors. Furthermore, there is a lack of integrated systems that streamline these tasks and reduce the burden on personnel. Therefore, there is a need for a system that can efficiently organize social gatherings and manage materials within factories.

[1219] 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.

[1220] In this invention, the server includes: means for inputting the departments and desired date and time of the social gathering from a user; means for acquiring information on candidate stores from an external information system based on the departments and desired date and time of the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate store information acquired by the acquisition means; means for narrowing down the candidate stores based on the information extracted by the extraction means and presenting a candidate list; means for receiving store information selected from the candidate list by the user; means for automatically making reservations and payments for the social gathering based on the selected information; means for the user to input the type, quantity, and priority of materials via smart glasses; means for acquiring inventory information from the external information system based on the input data and generating optimal placement locations and transportation route candidates; means for receiving the placement locations and transportation routes selected by the user; means for controlling a robot to transport materials based on the selected information; and means for automatically completing payment procedures for materials via the external information system. This makes it possible to centrally improve the efficiency of social gathering planning and factory material management operations.

[1221] "User" refers to the entity that uses this system to set up social gatherings and manage materials.

[1222] A "social gathering" refers to a gathering held within a company or organization to deepen friendships.

[1223] "Participating departments" refer to specific departments within an organization that will participate in the social gathering.

[1224] "Desired date and time" refers to the date and time set by the user for the social gathering to be held.

[1225] An "external information provision system" refers to a system for obtaining necessary information from outside.

[1226] "Information on candidate stores" refers to information on potential locations for social gatherings and materials management.

[1227] "Allergy Information" refers to information about any hypersensitivity a participant or employee may have to a particular substance.

[1228] "Preference information" refers to information about the types of food, drinks, and materials preferred by participants and employees.

[1229] A "candidate list" refers to a list of narrowed-down candidate stores and locations.

[1230] "Selection information" refers to information about the specific store or location selected by the user from the candidate list.

[1231] A "reservation" refers to the process of reserving a specific date, time, and location in advance.

[1232] "Payment process" refers to the process of paying for services or goods.

[1233] "Smart glasses" refers to a glasses-type device with augmented reality capabilities that can display information.

[1234] "Type of material" refers to the type of specific supplies or materials required for a factory or operation.

[1235] "Quantity" refers to the specific number of units of a material.

[1236] "Priority" refers to the order in which processing or execution should be carried out and the degree of importance.

[1237] "Inventory information" refers to information about materials and products currently held by suppliers and in warehouses.

[1238] "Location" refers to a location other than the specific location where materials should be placed.

[1239] A "transport route" refers to the optimal route for transporting materials or goods.

[1240] A "robot" is a machine that performs tasks automatically according to programmed instructions.

[1241] The present invention provides a system for improving the efficiency of organizing social gatherings and managing materials in factories. The following specific embodiments will be described in which a user terminal, a server, and an external information providing system work in cooperation with each other.

[1242] Initial Setup

[1243] 1. User terminal: The user logs in to the system and enters the department and desired date and time on the "Social Gathering Settings" screen. Next, the purpose of the social gathering is entered and this information is transmitted. Similarly, in the case of factory material management, the type, quantity, and priority of materials are entered via smart glasses and transmitted.

[1244] Hardware used: Smartphone, smart glasses

[1245] -Example: A user schedules a welcome party for new employees in the sales department on March 15th at 7:00 PM.

[1246] 2. Server: Receives the initial setting data sent from the user terminal and stores it in the database. This aggregates basic information about the social gathering and materials management, and provides the data necessary for subsequent processing.

[1247] Software used: MySQL database

[1248] Candidate proposals

[1249] 1. Server: Based on the saved initial setup data, obtains candidate store information from an external information system. In the case of factory material management, obtains inventory information from the external information system. In this case, obtains the necessary information using an API.

[1250] Software used: RESTful API

[1251] -Example: The server retrieves the list of available stores and material inventory information at 19:00 on March 15th.

[1252] 2. Server: Extracts information about participants' allergies and preferences from an internal database. In the case of factory materials management, extracts information about material storage locations and the location of transport robots from an internal database.

[1253] Software used: MySQL database

[1254] -Example: The server extracts allergy and preference information and identifies where ingredients are stored.

[1255] 3. Server: Based on the extracted information, the server narrows down the candidates and generates a candidate list. Similarly, in the case of factory material management, it generates candidates for optimal placement locations and transport routes.

[1256] Software used: Data filtering algorithm

[1257] -Example: Nominate stores that do not use shrimp or that have a wide variety of sake. Suggest the optimal transportation route for materials.

[1258] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[1259] Software used: RESTful API

[1260] -Example: Suggest a list of "Izakaya A" and "Izakaya B" to the user.

[1261] Candidate selection and confirmation

[1262] 1. User terminal: The user checks the list of candidates sent and selects the optimal date, time, restaurant, and seating arrangement. Similarly, in the case of factory materials management, the optimal placement location and transportation route are selected.

[1263] -Example: Select a table seat at Izakaya A.

[1264] 2. User terminal: Sends the selection information to the server.

[1265] Hardware used: Smartphone, smart glasses

[1266] 3. Server: Receives the selection information sent from the user terminal and stores it in a database.

[1267] Software used: MySQL database

[1268] Automatic Processing

[1269] 1. Server: Based on the saved selection information, the server automatically accesses the internal approval system and processes the application for hosting a social gathering. Similarly, in the case of factory materials management, the server automatically orders materials.

[1270] Software used: RESTful API, approval system

[1271] 2. Server: Automatically reserves the selected store using an external API. Similarly, in the case of factory material management, it controls the robot according to the transport route.

[1272] Software used: RESTful API, robot control software

[1273] 3. Server: Processes payment procedures and automatically pays for the social gathering. Similarly, in the case of factory materials management, it automatically processes payment procedures for materials.

[1274] Software used: Electronic payment system

[1275] Specific examples

[1276] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information about available restaurants, extracts allergy and preference information from the internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of options such as "Izakaya A" and "Izakaya B," and the user selects "Izakaya A," which is then sent to the server. Based on this information, the server submits a request to the internal approval system, automatically makes a reservation for Izakaya A, and completes payment.

[1277] Example prompts to be input to the generative AI model:

[1278] "Write a system for streamlining the management and transportation of materials within a factory. The factory manager must use smart glasses to input the type, quantity, and priority of materials, and the system must retrieve inventory information from an external information system and suggest the optimal location and transportation route. Also, once the selection is confirmed, the system must include a function to control a robot, order materials externally, and complete the payment procedure."

[1279] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1280] Step 1:

[1281] Entering initial settings

[1282] Device: Using smart glasses or a smartphone, the user enters the participating department (e.g., sales department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. In addition, in the case of factory material management, the user also enters the type of material (e.g., aluminum plate), quantity (e.g., 500 sheets), and priority (e.g., high).

[1283] Input: Department, desired date and time, purpose (for social gatherings) or material type, quantity, and priority (for materials management).

[1284] Output: The entered configuration data.

[1285] Operation: The user terminal sends the entered data to the server.

[1286] Step 2:

[1287] Saving the setting data

[1288] Server: Receives the initial setting data sent from the device and stores it in a database.

[1289] Input: Initialization data.

[1290] Output: Configuration data stored in the database.

[1291] How it works: The server stores the data in a MySQL database.

[1292] Step 3:

[1293] Obtaining external information

[1294] Server: Based on the saved initial setting data, obtain information on candidate stores or inventory information from an external information system. Obtain the necessary information using API.

[1295] Input: Saved initial setting data.

[1296] Output: Store information or inventory information obtained from an external information system.

[1297] How it works: The server calls and receives data through a RESTful API.

[1298] Step 4:

[1299] Extracting internal data

[1300] Server: Extracts information on participants' allergies and preferences from an internal database, as well as information on storage locations of materials and transport robots.

[1301] Input: Saved configuration data.

[1302] Output: Extracted allergy information, preference information, storage location of materials, and location information of the transport robot.

[1303] How it works: The server queries and extracts information from a MySQL database.

[1304] Step 5:

[1305] Generate candidate list

[1306] Server: Based on the extracted information, narrow down the candidate stores or material locations and transport routes.

[1307] Inputs: Information from external information systems and internal databases.

[1308] Output: A candidate list.

[1309] How it works: The server applies a data filtering algorithm to generate a candidate list.

[1310] Step 6:

[1311] Presenting a candidate list

[1312] Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[1313] Input: Suggestion list.

[1314] Output: The candidate list displayed on the user's terminal.

[1315] How it works: The server sends data via a RESTful API.

[1316] Step 7:

[1317] Candidate Selection

[1318] Terminal: The user reviews the list of options sent and selects the best date, time, restaurant, seating arrangement, or location and delivery route.

[1319] Input: Suggestion list.

[1320] Output: Selected information.

[1321] How it works: The user makes a selection on their smart glasses or smartphone and sends it to the server.

[1322] Step 8:

[1323] Save selection information

[1324] Server: Receives the selection information sent from the user terminal and stores it in a database.

[1325] Input: Selection information.

[1326] Output: Selection information stored in a database.

[1327] How it works: The server stores the selection information in a MySQL database.

[1328] Step 9:

[1329] Automatic processing (reservation of social gatherings)

[1330] Server: Based on the selected information, the internal approval system is automatically accessed and the application process for holding the social gathering is carried out.

[1331] Input: Selection information.

[1332] Output: Notification of application completion to the approval system.

[1333] How it works: The server sends the application data via a RESTful API.

[1334] Step 10:

[1335] Automatic processing (store reservations, material transport)

[1336] Server: Automatically reserves selected stores using external APIs, and in the case of factory material management, controls robots to transport materials.

[1337] Input: Selection information.

[1338] Output: Reservation Completed Notification or Material Delivery Completed Notification.

[1339] Action: The server executes the operation using an external API or robot control software.

[1340] Step 11:

[1341] Payment process

[1342] Server: Automatically pay for social gatherings or materials.

[1343] Enter: Reservation or material delivery information.

[1344] Output: Payment completion notification.

[1345] What happens: The server completes the payment using an electronic payment system.

[1346] 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.

[1347] This invention is a system for improving the efficiency of organizing a social gathering, and involves the cooperation of a user terminal, a server, an external information providing system, and an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[1348] Initial Setup

[1349] 1. User terminal: The user logs in to the system and enters the participating department (e.g., Sales Department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. Next, the user enters the purpose of the social gathering (e.g., a welcome party for new employees) and submits this information.

[1350] 2. Server: Receives the initial setting data sent from the user terminal and stores it in the database. This data includes basic information such as department, date, and purpose.

[1351] Candidate proposals

[1352] Based on the information entered by the user, the following steps are performed:

[1353] 1. Server: Based on the saved initial setting data, obtain information on candidate stores from an external information system. Use the API to obtain a list of stores that are available on that date and time.

[1354] 2. Server: Extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[1355] 3. Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list.

[1356] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[1357] Utilizing the Emotion Engine

[1358] 1. Emotion engine: Recognizes emotions in real time based on user input. For example, it analyzes emotions based on the strength and speed of keyboard input, facial recognition, etc.

[1359] 2. Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates dissatisfaction with the user, it will prioritize and suggest other candidates.

[1360] 3. User device: The user reviews the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The presentation order is adjusted in real time based on emotional feedback.

[1361] Candidate selection and confirmation

[1362] 1. User terminal: The user sends the selection information to the server.

[1363] 2. Server: Receives the selection information sent from the user terminal and stores it in a database.

[1364] Automatic Processing

[1365] The server performs the following automatic processing to reduce the burden on the user.

[1366] 1. Server: Based on the selected information, the internal approval system is accessed and the application procedure for hosting a social gathering is automatically carried out. The required information is entered and the application button is clicked.

[1367] 2. Server: Automatically reserve the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[1368] 3. Server: Processes payments and automates payments for social gatherings. Accesses the company's payment system and completes payments for reservations.

[1369] Specific examples

[1370] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information on available restaurants, extracts allergy information from the company's internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of candidates such as "Izakaya A" and "Izakaya B," but adjusts the order and content of the list in real time if the user expresses emotional dissatisfaction. Once the user has made the optimal selection, the server submits an application to the company's internal approval system, automatically reserving the selected restaurant, "Izakaya A," and completing payment.

[1371] In this way, this system allows junior employees to efficiently carry out the organizing duties of a social gathering while taking into consideration the emotional state of the user and without placing a burden on them.

[1372] The processing flow will be explained below.

[1373] Step 1:

[1374] A user logs in to the system using a terminal, and enters a username and password on the login screen for authentication.

[1375] Step 2:

[1376] The user opens the "Social Gathering Settings" screen and enters the participating department (e.g., Sales Department) and the desired date and time (e.g., 19:00 on March 15th).

[1377] Step 3:

[1378] The user inputs the purpose of the social gathering (e.g., a welcome party for new employees), confirms that the setting is to activate the emotion engine, and then transmits the setting data.

[1379] Step 4:

[1380] The server receives the initial setting data sent from the user terminal and stores the received data in a database.

[1381] Step 5:

[1382] The server transmits a request to acquire information on candidate stores from an external information providing system based on the initial setting data stored in the database.

[1383] Step 6:

[1384] The server obtains a list of stores with availability on the date and time from an external information providing system and analyzes the obtained data.

[1385] Step 7:

[1386] The server extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[1387] Step 8:

[1388] The server narrows down the candidate stores based on the extracted allergy information and preference information and generates a candidate list.

[1389] Step 9:

[1390] The server transmits the narrowed candidate list to the user terminal.

[1391] Step 10:

[1392] The user's device will display a list of candidates, and the emotion engine will begin to recognize the user's emotions, for example, by analyzing facial recognition and keyboard typing speed.

[1393] Step 11:

[1394] The user checks the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The emotion engine analyzes the user's emotions in real time, and if the user is dissatisfied, the server readjusts the order of the candidate list.

[1395] Step 12:

[1396] The user sends the selection information to the server.

[1397] Step 13:

[1398] The server receives the selection information sent from the user terminal and stores it in a database.

[1399] Step 14:

[1400] Based on the selected information saved on the server, the user accesses the internal approval system and applies for hosting a social gathering. The required information is automatically entered and the user clicks the application button.

[1401] Step 15:

[1402] The server automatically reserves the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[1403] Step 16:

[1404] The server processes the payment and automatically pays for the social gathering, accessing the company's payment system to complete the payment for the reservation.

[1405] Example 2

[1406] 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."

[1407] Planning and running social gatherings is an important part of modern business operations, but doing it manually takes a lot of time and effort. It is also difficult to select an appropriate venue while taking into account the individual preferences and allergy information of participants. Furthermore, satisfaction would be improved if candidate facilities could be prioritized while reflecting the participants' intentions and emotions. However, current systems have difficulty dynamically adjusting the system to take emotional feedback into account. There is a need to solve these issues.

[1408] 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.

[1409] In this invention, the server includes: means for inputting the department and desired date and time of the social gathering from a user terminal; means for acquiring information on candidate facilities from an external information system based on the department and desired date and time of the social gathering input by the input means; means for extracting allergy information and preference information of participants from an internal company database to narrow down the candidate facility information acquired by the acquisition means; means for narrowing down the candidate facilities based on the information extracted by the extraction means and presenting a candidate list; means for receiving facility information selected from the candidate list from the user terminal; means for automatically making reservations and payments for the social gathering based on the selected information; and means including an emotion engine that recognizes emotions in real time in response to user input and adjusting evaluations of candidate facilities based on data obtained from the emotion engine. This makes it possible to efficiently manage social gatherings and increase participant satisfaction.

[1410] A "user terminal" is a device used by a user to perform input operations, and refers to information processing devices such as PCs, smartphones, and tablets.

[1411] "Participating departments" refers to the departments or divisions to which users participating in the social gathering belong.

[1412] The "desired date and time" refers to the specific date and time at which the user wishes to hold the social gathering.

[1413] An "external information provision system" refers to a system or service for obtaining information from outside about potential facilities for social gatherings.

[1414] "Candidate facilities" refer to locations or stores that are candidates for hosting a social gathering.

[1415] "Allergy information" refers to information regarding food allergies held by participants at the social gathering.

[1416] "Preference information" refers to information about the food and drink preferences of participants at the social gathering.

[1417] "Emotion engine" refers to an engine or module that recognizes and analyzes emotions in real time from user input and behavior.

[1418] "Means for adjusting ratings" refers to means for changing the ranking of candidate facilities or lists based on information obtained from the emotion engine.

[1419] "Means for automatically making reservations and payments" refers to means for automating the reservation procedures and payment procedures for facilities selected by the user.

[1420] "Database" means an electronic system for systematically storing information and for searching, retrieving, and updating that information as needed.

[1421] An "internal approval system" refers to a system for obtaining approval for work or events within a company.

[1422] MODE FOR CARRYING OUT THE INVENTION

[1423] The present invention provides a system for efficiently running a social gathering, in which a user terminal, a server, an external information providing system, and an emotion engine that recognizes the user's emotions work in cooperation with each other. Specific embodiments of the system are described below.

[1424] Initial Setup

[1425] Login and input via user terminal

[1426] The user logs in to the system from their user terminal and accesses the "Social Gathering Settings" screen. On this screen, they enter the participating department (e.g., Sales Department) and the desired date and time (e.g., 7:00 PM on March 15th). They then enter the purpose of the social gathering (e.g., welcome party for new employees) and click the "Send" button. User terminals can include PCs, smartphones, and tablets.

[1427] Data reception and storage by the server

[1428] The server receives the initial setting data sent from the user terminal. This data includes department, date and time, purpose, etc. The received data is stored in a database. The database can be MySQL or PostgreSQL.

[1429] Candidate proposals

[1430] Server acquires data from external information systems

[1431] The server then calls the API of an external information system based on the saved initial setting data to obtain a list of candidate facilities that are available on the specified date and time. The external information system may be the Google Places API or Yelp API.

[1432] Server extracts allergy information and preferences from an internal database

[1433] The server extracts allergy and preference information for each participant from the company's internal database. For example, it extracts information such as "employees with shrimp allergies" and "employees who like Japanese sake." SQL queries are used for extraction.

[1434] Server generates and narrows down the list of candidate facilities

[1435] The server narrows down the list of candidate facilities obtained from the external system based on the extracted allergy and preference information. Specifically, an algorithm is applied that excludes facilities that use a large amount of allergen ingredients and prioritizes facilities that have a wide selection of preferred foods and drinks.

[1436] Server transmits candidate list to user terminal

[1437] The narrowed down candidate facility list is transmitted to the user terminal, and candidate facilities are proposed to the user.

[1438] Utilizing the Emotion Engine

[1439] Recognizing user emotions with an emotion engine

[1440] The emotion engine analyzes the user's emotions in real time using the strength and speed of keyboard input, facial recognition, etc. The emotion engine uses Face++ and Emotion API.

[1441] Server-based evaluation adjustment of candidate facilities

[1442] The server adjusts the evaluation of the candidate facilities based on the data obtained from the emotion engine. If the emotion data indicates dissatisfaction with the user, the server changes the order of the list so that other candidate facilities are given priority.

[1443] Check and select from the candidate list on the user's device

[1444] The user checks the updated candidate list and selects the most suitable establishment (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The selected information is sent to the server in real time.

[1445] Candidate selection and confirmation

[1446] Transmission of selection information by user terminal to server

[1447] After the user confirms the selected information, he clicks the "Confirm" button and the selected information is sent to the server.

[1448] Server saves selection information in a database

[1449] The server receives the selection information sent from the user terminal and stores this data in a database.

[1450] Automatic Processing

[1451] Application procedures using a server-based internal approval system

[1452] Based on the selected facility information, the server accesses the internal approval system, inputs the necessary data, and automatically clicks the application button, automatically completing the approval process for holding the social gathering.

[1453] Automatic facility reservation by server

[1454] The server automatically completes the reservation process for the selected facility via an external API, sending an API request and entering the necessary information to confirm the facility reservation.

[1455] Server-based payment processing

[1456] The server accesses the company's payment system and automatically completes the payment procedure for the social gathering, automating all procedures and reducing the burden on the user.

[1457] Specific examples

[1458] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and enters the purpose of the social gathering as "New Employee Welcome Party," then submits the request. The server calls an external API to retrieve information about facilities available on the specified date and time. At the same time, it extracts information from the internal database, such as "employees with shrimp allergies" and "employees who like Japanese sake," and uses this information to narrow down the list of candidate facilities. A list of candidates, such as "Izakaya A" and "Izakaya B," is presented to the user's device, and the emotion engine analyzes the user's emotions in real time, adjusting the order and content of the list if the user indicates dissatisfaction. The user selects "Izakaya A," and the server automatically completes the process from approval request to reservation and payment.

[1459] Prompt Sentence Examples

[1460] Please suggest the best venue for your social gathering based on the following information:

[1461] Participating department: Sales Department

[1462] Preferred date and time: March 15th, 7:00 PM

[1463] Purpose of the social gathering: Welcome party for new employees

[1464] Employee allergy information: We have an employee who is allergic to shrimp.

[1465] Employees' favorite things: Some employees like Japanese sake.

[1466] Display candidate facilities in a list and adjust the order of the list taking into account users' emotional feedback.

[1467] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1468] Step 1:

[1469] Login and input via user terminal

[1470] The user logs into the system using a user terminal. On the "Social Gathering Settings" screen, they enter the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., welcome party for new employees). They then click the "Send" button. This sends the entered data (department, date and time, purpose) to the server. The input is done by the user, and the output is sent to the server as initial setting data.

[1471] Step 2:

[1472] Data reception and storage by the server

[1473] The server receives the initial setup data (department, date and time, purpose) sent from the user terminal. The received data is saved in the database. Specifically, the data is temporarily saved and then inserted into the database using an SQL query. The input is the initial setup data from the user terminal, and the output is a notification that the data has been saved to the database.

[1474] Step 3:

[1475] Server acquires data from external information systems

[1476] The server calls the API of the external information system based on the initial setup data stored in the database to obtain a list of candidate facilities. Specifically, it sends an API request, which includes parameters such as the date and time and the number of participants. It receives the list of candidate facilities as a response from the external system and converts it into an internal data format. The input is the initial setup data and the response from the external API, and the output is the list of candidate facilities.

[1477] Step 4:

[1478] Server extracts allergy information and preferences from an internal database

[1479] The server accesses the company's internal database and extracts information about participants' allergies and preferences using SQL queries. For example, it extracts information such as "employees with a shrimp allergy" or "employees who like sake." The input is participant information and initial setting data, and the output is the extracted allergy information and preference data.

[1480] Step 5:

[1481] Server generates and narrows down the list of candidate facilities

[1482] The server narrows down the list of candidate facilities obtained from the external information system based on the extracted allergy and preference information. Specifically, an algorithm is applied that excludes facilities that use a large number of allergen ingredients and prioritizes facilities that have a wide selection of preferred foods and drinks. The input is the list of candidate facilities, allergy information, and preference information, and the output is the narrowed down list of candidate facilities.

[1483] Step 6:

[1484] Server transmits candidate list to user terminal

[1485] The server sends the narrowed-down candidate facility list to the user's terminal. The user's terminal displays the list of candidate facilities, allowing the user to select one. The input is the narrowed-down candidate facility list, and the output is the transmission of the list to the user's terminal.

[1486] Step 7:

[1487] Recognizing user emotions with an emotion engine

[1488] The emotion engine analyzes emotions in real time using the speed and strength of keyboard typing as well as facial recognition. For example, if the user types hard on the keyboard, it will recognize that the user is feeling stressed. The input is the user's typing behavior and facial image, and the output is analyzed emotional data.

[1489] Step 8:

[1490] Server-based evaluation adjustment of candidate facilities

[1491] The server adjusts the rating of the candidate facilities based on the data obtained from the emotion engine. If the user's emotion indicates dissatisfaction, the server changes the ranking of the list to give priority to other candidate facilities. The input is emotion data and a list of candidate facilities, and the output is a list of candidate facilities with adjusted ratings.

[1492] Step 9:

[1493] Check and select from the candidate list on the user's device

[1494] The user checks the list of candidate facilities with adjusted ratings and selects the most suitable facility (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The selected information is sent to the server in real time. The input is the list of candidate facilities, and the output is the selected facility information and seating arrangement information.

[1495] Step 10:

[1496] Transmission of selection information by user terminal to server

[1497] After the user confirms the selected information, they click the "Confirm" button to send the selected information to the server. The input is the selected facility information and seating arrangement information, and the output is the information sent to the server.

[1498] Step 11:

[1499] Server saves selection information in a database

[1500] The server receives the selection information sent from the user terminal and stores this data in a database. Specifically, the received data is temporarily stored and then inserted into the database using an SQL query. The input is the selection information, and the output is a notification that the data has been saved to the database.

[1501] Step 12:

[1502] Application procedures using a server-based internal approval system

[1503] The server accesses the internal approval system based on the selected facility information, enters the necessary data, and automatically clicks the application button. This automatically completes the approval process for hosting the social gathering. The input is the selected facility information, and the output is a notification of application completion to the approval system.

[1504] Step 13:

[1505] Automatic facility reservation by server

[1506] The server automatically completes the reservation process for the selected facility via an external API. Specifically, it sends an API request and inputs the necessary information to confirm the facility reservation. The input is the selected facility information and the API request, and the output is a reservation completion notification.

[1507] Step 14:

[1508] Server-based payment processing

[1509] The server accesses the company's payment system and automatically completes the payment process for the social gathering. Specifically, it inputs the necessary payment information into the system, confirms it, and completes the process. The input is the reservation information and payment information, and the output is a payment completion notification.

[1510] The above processing steps make the management of the social gathering more efficient and increase the satisfaction of the participants.

[1511] (Application example 2)

[1512] 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."

[1513] Conventional social gathering planning tasks involve manually collecting information on participants' allergies and preferences, and then selecting potential restaurants, which is extremely cumbersome. Furthermore, since recommendations do not take into account the user's emotions or reactions, it is difficult to select the most suitable restaurant. This results in lower user satisfaction and requires a great deal of effort to plan social gatherings.

[1514] 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 a user to input the department and desired date and time of the social gathering; means for acquiring information on candidate restaurants from an external information system based on the department and desired date and time of the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate restaurant information acquired by the acquisition means; means for narrowing down the candidate restaurants based on the information extracted by the extraction means and presenting a candidate list; means for receiving information on a restaurant selected by the user from the candidate list; means for automatically making reservations and payments for the social gathering based on the selected information; and means for recognizing the user's emotions and optimizing the recommendation of candidate restaurants based on their preferences and emotional data. This makes it possible to recommend optimal restaurants based not only on the participants' allergies and preferences but also on their emotions, improving user satisfaction and streamlining the organizer's work.

[1515] The "means for the user to input the department that will be participating in the social gathering and the desired date and time" is an interface for the user to input the name of the department to which the user belongs and the desired date and time for the social gathering into the system.

[1516] "Means for obtaining information on candidate stores from an external information system" refers to a function in which the server uses an external database or API to collect information on stores that have availability on a specified date and time.

[1517] The "means for extracting participant allergy information and preference information from an internal company database" is a function for extracting allergy and food preference information for each participant from a database stored within the company.

[1518] "Means for narrowing down candidate stores and presenting a candidate list" is a function that narrows down store information based on extracted allergy and preference information and presents the results to the user as a list.

[1519] The "means for receiving information on the store selected from the candidate list by the user" is an interface that allows the system to receive information on the candidate store selected by the user.

[1520] The "means for automatically making reservations and making payments for the social gathering based on the selection information" is a function that automatically makes reservations at the restaurant selected by the user and completes the necessary payments.

[1521] "A means of recognizing users' emotions and optimizing the recommendation of candidate stores based on their preferences and emotional data" refers to a function that analyzes emotional data from users' facial expressions and input methods, and adjusts store recommendations in real time based on that data.

[1522] The present invention is a system for improving the efficiency of organizing a social gathering and optimizing and recommending candidate stores based on the user's emotions. Specific embodiments for carrying out the present invention are described below.

[1523] Initial Setup

[1524] 1. User terminal: The user logs in to the terminal and enters the department that will be participating and the desired date and time on the "Social Gathering Settings" screen. Next, the purpose of the social gathering is entered and this information is sent.

[1525] 2. Server: Receives the initial setup data entered by the user and stores it in a database. This data includes basic information such as department, date and time, and purpose of the social gathering.

[1526] Candidate proposals

[1527] 1. Server: Based on the saved initial setting data, obtain information on candidate stores from an external information system. Use the API to obtain a list of stores that are available on the specified date and time.

[1528] 2. Server: Extracts allergy and preference information for each participant from the company database. For example, "allergy to shrimp" or "prefers sake."

[1529] 3. Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list.

[1530] 4. Server: The narrowed down list of candidates is sent to the user's device and suggested to the user.

[1531] Utilizing the Emotion Engine

[1532] 1. Emotion engine: Recognizes emotions in real time based on user input. For example, it analyzes emotions using keyboard strength and speed, facial recognition, etc.

[1533] 2. Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates user dissatisfaction, it will prioritize and suggest another candidate.

[1534] 3. User device: The user reviews the list of candidates and selects the most suitable restaurant and seating arrangement. The order of presentation is adjusted in real time based on emotional feedback.

[1535] Candidate selection and confirmation

[1536] 1. User terminal: The user sends the selection information to the server.

[1537] 2. Server: Receives the selection information sent from the user terminal and stores it in a database.

[1538] Automatic Processing

[1539] 1. Server: Based on the selected information, the internal approval system is accessed and the application procedure for hosting the social gathering is automatically carried out. The necessary information is entered and the application is submitted.

[1540] 2. Server: Automatically reserve the selected store using an external API. Enter reservation information and confirm the store reservation via the API.

[1541] 3. Server: Automates the payment process and completes the payment for the social gathering. It accesses the company's payment system and completes the payment for the reservation.

[1542] Specific examples

[1543] For example, imagine a user walking through a virtual store wearing smart glasses. The smart glasses capture the user's face in real time and analyze their emotions. If the emotional data indicates that the user is excited about a particular product, the system will prioritize recommending products in that category. If the emotional data indicates dissatisfaction, the system will prioritize recommending other candidates.

[1544] Example prompts to input to the generative AI model:

[1545] Give an example of a virtual store application that recommends products based on user preference and emotional data. The application is used in smart glasses and recognizes the user's emotions in real time and recommends appropriate products.

[1546] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1547] Step 1:

[1548] User terminal: The user logs in to the terminal and enters the participating departments and desired date and time on the "Social Gathering Settings" screen. This sends the data of participating departments and desired date and time entered by the user to the system. This input data is output in the form of participating departments, desired date and time, purpose of the social gathering, etc.

[1549] Step 2:

[1550] Server: Receives the initial setting data sent from the user terminal and stores it in a database. Here, the input data is temporarily stored and converted into base data for subsequent processing. The output is structured data stored in the database.

[1551] Step 3:

[1552] Server: Based on the saved initial setup data, obtains information on candidate stores from an external information system. Specifically, a list of stores with availability on the specified date and time is obtained from the external information system using an API. The input to this process is the initial setup data, and the output is a list of store information.

[1553] Step 4:

[1554] Server: Extracts allergy and preference information for each participant from the company database. Specifically, it extracts data fields that represent allergy information and food and beverage preferences. The input is the user's department or personal identification information, and the output is the allergy and preference information for the corresponding participant.

[1555] Step 5:

[1556] Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list. This process selects and lists only stores that meet specific conditions. The input is the extracted participant information and a list of store information, and the output is a filtered list of candidate stores.

[1557] Step 6:

[1558] Server: Sends the filtered candidate list to the user's device and makes suggestions to the user. The user can select the best store based on this list. The input is the filtered candidate store list, and the output is the store list sent to the user's device.

[1559] Step 7:

[1560] Emotion engine: Recognizes emotions in real time based on user input. Specifically, it analyzes emotional data from facial recognition and keyboard input. The input is real-time user data, and the output is analyzed emotional data.

[1561] Step 8:

[1562] Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates user dissatisfaction, other candidates are presented preferentially. The input is emotion data and a list of candidate stores, and the output is an adjusted list of candidate stores.

[1563] Step 9:

[1564] User device: The user reviews the candidate list and selects the most suitable restaurant and seating arrangement. The order of the list presentation is adjusted in real time based on emotional feedback during the selection process. The input is the adjusted candidate restaurant list, and the output is the restaurant information selected by the user.

[1565] Step 10:

[1566] User terminal: Sends the store information selected by the user to the server. This information includes the selected store name and desired reservation time. The input is the information selected by the user, and the output is the store information sent to the server.

[1567] Step 11:

[1568] Server: Receives the selection information sent from the user terminal and stores it in a database. The input is the store information selected by the user, and the output is the selection information stored in the database.

[1569] Step 12:

[1570] Server: Based on the selection information, the internal approval system is accessed and the application procedure for hosting the social gathering is automatically carried out. The necessary information is entered and the approval is carried out. The input is the selection information, and the output is the completed approval application information.

[1571] Step 13:

[1572] Server: Automatically reserves the selected store using an external API. Enter the store reservation information and confirm the store reservation via the API. The input is the required reservation information, and the output is confirmation of the completed reservation information.

[1573] Step 14:

[1574] Server: Automates the payment process and completes the payment for the social gathering. It accesses the company's payment system and completes the necessary payment. The input is payment information, and the output is the completed payment confirmation information.

[1575] 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.

[1576] 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.

[1577] 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.

[1578] [Fourth embodiment]

[1579] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1580] 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.

[1581] 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).

[1582] 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.

[1583] 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.

[1584] 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).

[1585] 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.

[1586] 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.

[1587] 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.

[1588] 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.

[1589] 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.

[1590] 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.

[1591] 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."

[1592] The present invention is a system for improving the efficiency of organizing a social gathering, in which a user terminal, a server, and an external information providing system work in cooperation with each other. Specific embodiments of the system are described below.

[1593] Initial Setup

[1594] 1. User terminal: The user logs in to the system and enters the department (e.g., sales department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. Next, the user enters the purpose of the social gathering (e.g., welcome party for new employees) and submits this information.

[1595] 2. Server: Receives the initial setting data sent from the user terminal and stores it in a database. This aggregates the basic information about the social gathering and provides the data necessary for subsequent processing.

[1596] Candidate proposals

[1597] Based on the information entered by the user, the following steps are performed:

[1598] 1. Server: Based on the saved initial setting data, obtain candidate store information from an external information system. At this time, use the API to obtain a list of stores with availability on that date and time.

[1599] 2. Server: Extracts allergy and preference information for each employee from the company database. For example, information such as Mr. Sugiyama's allergy to shrimp and Mr. Sato's preference for sake.

[1600] 3. Server: Narrows down the candidate restaurants based on the extracted allergy and preference information and generates a candidate list. For example, it prioritizes restaurants that do not use shrimp or that offer a wide variety of sake.

[1601] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[1602] Candidate selection and confirmation

[1603] 1. User device: The user checks the list of options sent to them and selects the most suitable date, time, restaurant, and seating arrangement. For example, they select a table seat at Izakaya A.

[1604] 2. User terminal: Sends the selection information to the server.

[1605] 3. Server: Receives the selection information sent from the user terminal and stores it in a database.

[1606] Automatic Processing

[1607] The server performs the following automatic processing to reduce the burden on the user.

[1608] 1. Server: Based on the saved selection information, the server automatically accesses the internal approval system and processes the application for hosting a social gathering. The server automatically enters the necessary information (e.g., the date, time, location, and number of people for the social gathering) and clicks the application button.

[1609] 2. Server: Automatically reserve the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[1610] 3. Server: Processes payments and automates payments for social gatherings. Payments for reservations are completed through the company's payment system, eliminating the need for out-of-pocket payments.

[1611] Specific examples

[1612] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information about available restaurants, extracts allergy information from the internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of candidates such as "Izakaya A" and "Izakaya B," and the user selects "Izakaya A," which is then sent to the server. Based on this information, the server submits a request to the internal approval system, automatically makes a reservation for Izakaya A, and completes payment.

[1613] In this way, this system allows young employees to efficiently carry out the organizing duties of social gatherings without placing a burden on them.

[1614] The processing flow will be explained below.

[1615] Step 1:

[1616] A user logs in to the system using a terminal, and enters a username and password on the login screen for authentication.

[1617] Step 2:

[1618] The user opens the "Social Gathering Settings" screen and enters the participating department (e.g., Sales Department) and the desired date and time (e.g., 19:00 on March 15th).

[1619] Step 3:

[1620] The user inputs the purpose of the social gathering (e.g., welcome party for new employees) and submits the setting data.

[1621] Step 4:

[1622] The server receives the initial setting data sent from the user terminal and stores the received data in a database.

[1623] Step 5:

[1624] The server transmits a request to acquire information on candidate stores from an external information providing system based on the initial setting data stored in the database.

[1625] Step 6:

[1626] The server obtains a list of stores with availability on the date and time from an external information providing system and analyzes the obtained data.

[1627] Step 7:

[1628] The server extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[1629] Step 8:

[1630] The server narrows down the candidate stores based on the extracted allergy information and preference information and generates a candidate list.

[1631] Step 9:

[1632] The server transmits the narrowed candidate list to the user terminal.

[1633] Step 10:

[1634] The user checks the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats).

[1635] Step 11:

[1636] The user sends the selection information to the server.

[1637] Step 12:

[1638] The server receives the selection information sent from the user terminal and stores it in a database.

[1639] Step 13:

[1640] Based on the selected information saved on the server, the user accesses the internal approval system and applies for hosting a social gathering. The required information is automatically entered and the user clicks the application button.

[1641] Step 14:

[1642] The server automatically reserves the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[1643] Step 15:

[1644] The server processes the payment and automatically pays for the social gathering, accessing the company's payment system to complete the payment for the reservation.

[1645] Example 1

[1646] 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."

[1647] Conventionally, the work of organizing a social gathering has been extremely busy, requiring time and effort, especially when selecting the most suitable restaurant while taking into account the allergies and preferences of the participants, and then making reservations and making payments. Furthermore, when internal approval procedures are required, the procedures are often done manually, which can lead to errors and delays in operations. The present invention aims to solve these problems and provide a system for smoothly and efficiently organizing social gatherings.

[1648] 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.

[1649] In this invention, the server includes: means for a user to input the department and desired date and time for the social gathering; means for acquiring information on candidate restaurants from an external information system based on the department and desired date and time for the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate restaurant information acquired by the acquisition means; means for narrowing down the candidate restaurants based on the information extracted by the extraction means and presenting a candidate list; means for receiving information on a restaurant selected from the candidate list by the user; means for automatically making reservations and payments for the social gathering based on the selected information; and means for automatically applying for the hosting of the social gathering to an internal approval system. This significantly reduces the cumbersome manual organizing work performed by the user and enables efficient and consistent planning, reservation, and payment procedures for the social gathering.

[1650] "User" refers to the user who logs into the system and sets up the social gathering.

[1651] A "social gathering" refers to a social gathering where participating departments and participants come together.

[1652] "Participating Departments" refers to the specific departments within an organization that will participate in the social gathering.

[1653] The "desired date and time" refers to the date and time designated by the user as the date and time for the social gathering.

[1654] The term "external information providing system" refers to an external information service that the server uses to obtain information on candidate stores.

[1655] "Server" refers to the central computing resource that receives input information from users and performs various processing.

[1656] "Candidate store" refers to a store proposed as the location for the social gathering.

[1657] "Internal database" refers to the internal information management system that stores participants' allergy and preference information.

[1658] "Allergy information" refers to information regarding a participant's allergic reaction to a particular food ingredient or component.

[1659] "Preference information" refers to information about participants' particular preferences for certain foods and beverages.

[1660] "Candidate list" refers to a list of candidate stores narrowed down by the server.

[1661] "Selection information" refers to information about the store or other items selected by the user from the candidate list.

[1662] "Reservation" refers to the process of reserving a store selected as the venue for a social gathering.

[1663] "Payment" refers to the process of completing the financial cancellation of a social gathering booking.

[1664] An "internal approval system" refers to a system for handling approval and application procedures within a company.

[1665] This invention is a system for efficiently managing the organization of social gatherings. Specifically, it involves the cooperation of a user terminal, a server, and an external information system. This system receives social gathering setting data from the user, obtains restaurant information from the external information system, extracts allergy and preference information from an internal database, suggests the most suitable restaurant based on that data, and automatically handles reservations and payment procedures.

[1666] Hardware and Software Used

[1667] User device: A computer or smartphone with an internet browser.

[1668] Server: Database management system (DBMS), browser automation tool (e.g., Selenium), API client for connecting to external APIs.

[1669] External information system: External store information services and APIs.

[1670] Initial Setup

[1671] User terminal: The user logs in to the system and accesses the social gathering setting screen. There, the user enters the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., welcome party for new employees), and clicks the send button. This sends the entered data to the server.

[1672] Candidate proposals

[1673] Server: The server receives the data sent from the user's device and stores it in a database. Next, it calls the API of an external information system based on the stored data and obtains information on candidate stores that have availability on the desired date and time. It then extracts allergy and preference information from the internal database and compares it with the obtained store information to narrow down the list of stores. As a result of the filtering, the most suitable candidate stores are selected and sent to the user's device as a candidate list.

[1674] Candidate selection and confirmation

[1675] User device: The user checks the received list of candidate stores and selects the most suitable store and date / time. For example, they can select "a table seat at Izakaya A." The selected information is sent to the server.

[1676] Automatic Processing

[1677] Server: The server saves the received selection information in a database and uses that information to access the internal approval system. It then uses a browser automation tool (e.g., Selenium) to enter the necessary information into a form and complete the application process. It then automatically reserves the selected store using an external API and automatically makes payment for the reservation through the company's payment system.

[1678] Specific examples

[1679] For example, if a user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request, the server will call an external API to obtain information about available restaurants. It will then extract allergy information from the internal database and narrow down the list of candidate restaurants. A list of candidates such as "Izakaya A" and "Izakaya B" will be presented to the user, and the user will select "Izakaya A," which will be sent to the server. The server will then submit a request using the internal approval system based on that information, automatically reserving Izakaya A, and completing payment.

[1680] Prompt Sentence Examples

[1681] "Please suggest a restaurant where we can hold a welcome party for new employees of the sales department at 7:00 PM on March 15th. Mr. Sugiyama is allergic to shrimp, and Mr. Sato prefers sake."

[1682] According to this invention, the user can efficiently carry out complicated organizing tasks, and the tasks can be made smoother.

[1683] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1684] Program processing flow

[1685] Step 1:

[1686] User terminal: The user logs in to the system and opens the "Social Gathering Settings" screen. Here, the user enters the participating department (e.g., Sales Department), desired date and time (e.g., 7:00 PM on March 15th), and the purpose of the social gathering (e.g., a welcome party for new employees), and clicks the send button.

[1687] Input: Participating department, desired date and time, purpose of the social gathering.

[1688] Output: Initial configuration data is sent to the server.

[1689] Step 2:

[1690] Server: The server receives the initial setting data sent from the user terminal and stores it in a database. This data is used in subsequent processing.

[1691] Input: Initial setting data sent from the user terminal.

[1692] Output: Initial configuration data stored in the database.

[1693] Step 3:

[1694] Server: Based on the saved initial setting data, the server calls the API of the external information system to obtain information on candidate stores that have availability on the desired date and time.

[1695] Input: Initial setting data stored in the database.

[1696] Output: A list of candidate stores obtained from an external API.

[1697] Step 4:

[1698] Server: The server extracts allergy and preference information from the company database. It uses SQL queries to retrieve allergy and preference information for each employee.

[1699] Input: Employee allergy and preference information.

[1700] Output: Extracted allergy and preference information.

[1701] Step 5:

[1702] Server: The server compares the acquired store information with the employee's allergy and preference information to generate a list of optimal candidate stores. For example, if an employee is allergic to shrimp, it will select a store that does not use shrimp. Also, if an employee likes sake, it will prioritize stores with a wide selection of sake.

[1703] Input: List of potential stores, allergy information, and preference information.

[1704] Output: A narrowed down list of potential stores.

[1705] Step 6:

[1706] Server: The server sends the narrowed down list of candidate stores to the user's terminal.

[1707] Input: Narrowed down list of potential stores.

[1708] Output: A list of candidate stores sent to the user's device.

[1709] Step 7:

[1710] User device: The user checks the list of candidate stores and selects the most suitable store and date and time. For example, they select "a table seat at Izakaya A."

[1711] Input: List of potential stores.

[1712] Output: Selected store information.

[1713] Step 8:

[1714] User terminal: The user sends the selection information to the server.

[1715] Input: Store information selected by the user.

[1716] Output: The selection information sent to the server.

[1717] Step 9:

[1718] Server: The server receives the selection information sent from the user terminal and stores it in a database. This selection information is used to make reservations for social gatherings and process payments.

[1719] Input: Selection information sent from the user terminal.

[1720] Output: Selection information stored in a database.

[1721] Step 10:

[1722] Server: The server accesses the internal approval system based on the saved selection information and automatically processes the application for hosting the social gathering. It uses a browser automation tool (e.g., Selenium) to enter the required information into the form and complete the application.

[1723] Input: Selection information stored in the database.

[1724] Output: Application information sent to the approval system.

[1725] Step 11:

[1726] Server: The server automatically reserves the selected store using an external API. The server sends the reservation information via the API and confirms the reservation.

[1727] Input: Selection information stored in the database.

[1728] Output: Confirmed store reservation information.

[1729] Step 12:

[1730] Server: The server automatically processes the booking payment through the company's payment system, inputs the payment information into the system, and the payment is completed.

[1731] Input: Selection information stored in the database, and payment information.

[1732] Output: The completed payment transaction.

[1733] This allows users to significantly reduce the tedious manual organizing work required, and enables them to efficiently and consistently plan, book, and pay for social gatherings.

[1734] (Application example 1)

[1735] 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."

[1736] In today's business environment, organizing social gatherings and managing materials within factories require a lot of time and effort. Coordinating social gatherings, arranging materials, and selecting transport routes are particularly labor-intensive and prone to errors. Furthermore, there is a lack of integrated systems that streamline these tasks and reduce the burden on personnel. Therefore, there is a need for a system that can efficiently organize social gatherings and manage materials within factories.

[1737] 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.

[1738] In this invention, the server includes: means for inputting the departments and desired date and time of the social gathering from a user; means for acquiring information on candidate stores from an external information system based on the departments and desired date and time of the social gathering input by the input means; means for extracting information on participants' allergies and preferences from an internal database to narrow down the candidate store information acquired by the acquisition means; means for narrowing down the candidate stores based on the information extracted by the extraction means and presenting a candidate list; means for receiving store information selected from the candidate list by the user; means for automatically making reservations and payments for the social gathering based on the selected information; means for the user to input the type, quantity, and priority of materials via smart glasses; means for acquiring inventory information from the external information system based on the input data and generating optimal placement locations and transportation route candidates; means for receiving the placement locations and transportation routes selected by the user; means for controlling a robot to transport materials based on the selected information; and means for automatically completing payment procedures for materials via the external information system. This makes it possible to centrally improve the efficiency of social gathering planning and factory material management operations.

[1739] "User" refers to the entity that uses this system to set up social gatherings and manage materials.

[1740] A "social gathering" refers to a gathering held within a company or organization to deepen friendships.

[1741] "Participating departments" refer to specific departments within an organization that will participate in the social gathering.

[1742] "Desired date and time" refers to the date and time set by the user for the social gathering to be held.

[1743] An "external information provision system" refers to a system for obtaining necessary information from outside.

[1744] "Information on candidate stores" refers to information on potential locations for social gatherings and materials management.

[1745] "Allergy Information" refers to information about any hypersensitivity a participant or employee may have to a particular substance.

[1746] "Preference information" refers to information about the types of food, drinks, and materials preferred by participants and employees.

[1747] A "candidate list" refers to a list of narrowed-down candidate stores and locations.

[1748] "Selection information" refers to information about the specific store or location selected by the user from the candidate list.

[1749] A "reservation" refers to the process of reserving a specific date, time, and location in advance.

[1750] "Payment process" refers to the process of paying for services or goods.

[1751] "Smart glasses" refers to a glasses-type device with augmented reality capabilities that can display information.

[1752] "Type of material" refers to the type of specific supplies or materials required for a factory or operation.

[1753] "Quantity" refers to the specific number of units of a material.

[1754] "Priority" refers to the order in which processing or execution should be carried out and the degree of importance.

[1755] "Inventory information" refers to information about materials and products currently held by suppliers and in warehouses.

[1756] "Location" refers to a location other than the specific location where materials should be placed.

[1757] A "transport route" refers to the optimal route for transporting materials or goods.

[1758] A "robot" is a machine that performs tasks automatically according to programmed instructions.

[1759] The present invention provides a system for improving the efficiency of organizing social gatherings and managing materials in factories. The following specific embodiments will be described in which a user terminal, a server, and an external information providing system work in cooperation with each other.

[1760] Initial Setup

[1761] 1. User terminal: The user logs in to the system and enters the department and desired date and time on the "Social Gathering Settings" screen. Next, the purpose of the social gathering is entered and this information is transmitted. Similarly, in the case of factory material management, the type, quantity, and priority of materials are entered via smart glasses and transmitted.

[1762] Hardware used: Smartphone, smart glasses

[1763] -Example: A user schedules a welcome party for new employees in the sales department on March 15th at 7:00 PM.

[1764] 2. Server: Receives the initial setting data sent from the user terminal and stores it in the database. This aggregates basic information about the social gathering and materials management, and provides the data necessary for subsequent processing.

[1765] Software used: MySQL database

[1766] Candidate proposals

[1767] 1. Server: Based on the saved initial setup data, obtains candidate store information from an external information system. In the case of factory material management, obtains inventory information from the external information system. In this case, obtains the necessary information using an API.

[1768] Software used: RESTful API

[1769] -Example: The server retrieves the list of available stores and material inventory information at 19:00 on March 15th.

[1770] 2. Server: Extracts information about participants' allergies and preferences from an internal database. In the case of factory materials management, extracts information about material storage locations and the location of transport robots from an internal database.

[1771] Software used: MySQL database

[1772] -Example: The server extracts allergy and preference information and identifies where ingredients are stored.

[1773] 3. Server: Based on the extracted information, the server narrows down the candidates and generates a candidate list. Similarly, in the case of factory material management, it generates candidates for optimal placement locations and transport routes.

[1774] Software used: Data filtering algorithm

[1775] -Example: Nominate stores that do not use shrimp or that have a wide variety of sake. Suggest the optimal transportation route for materials.

[1776] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[1777] Software used: RESTful API

[1778] -Example: Suggest a list of "Izakaya A" and "Izakaya B" to the user.

[1779] Candidate selection and confirmation

[1780] 1. User terminal: The user checks the list of candidates sent and selects the optimal date, time, restaurant, and seating arrangement. Similarly, in the case of factory materials management, the optimal placement location and transportation route are selected.

[1781] -Example: Select a table seat at Izakaya A.

[1782] 2. User terminal: Sends the selection information to the server.

[1783] Hardware used: Smartphone, smart glasses

[1784] 3. Server: Receives the selection information sent from the user terminal and stores it in a database.

[1785] Software used: MySQL database

[1786] Automatic Processing

[1787] 1. Server: Based on the saved selection information, the server automatically accesses the internal approval system and processes the application for hosting a social gathering. Similarly, in the case of factory materials management, the server automatically orders materials.

[1788] Software used: RESTful API, approval system

[1789] 2. Server: Automatically reserves the selected store using an external API. Similarly, in the case of factory material management, it controls the robot according to the transport route.

[1790] Software used: RESTful API, robot control software

[1791] 3. Server: Processes payment procedures and automatically pays for the social gathering. Similarly, in the case of factory materials management, it automatically processes payment procedures for materials.

[1792] Software used: Electronic payment system

[1793] Specific examples

[1794] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," sets the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information about available restaurants, extracts allergy and preference information from the internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of options such as "Izakaya A" and "Izakaya B," and the user selects "Izakaya A," which is then sent to the server. Based on this information, the server submits a request to the internal approval system, automatically makes a reservation for Izakaya A, and completes payment.

[1795] Example prompts to be input to the generative AI model:

[1796] "Write a system for streamlining the management and transportation of materials within a factory. The factory manager must use smart glasses to input the type, quantity, and priority of materials, and the system must retrieve inventory information from an external information system and suggest the optimal location and transportation route. Also, once the selection is confirmed, the system must include a function to control a robot, order materials externally, and complete the payment procedure."

[1797] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1798] Step 1:

[1799] Entering initial settings

[1800] Device: Using smart glasses or a smartphone, the user enters the participating department (e.g., sales department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. In addition, in the case of factory material management, the user also enters the type of material (e.g., aluminum plate), quantity (e.g., 500 sheets), and priority (e.g., high).

[1801] Input: Department, desired date and time, purpose (for social gatherings) or material type, quantity, and priority (for materials management).

[1802] Output: The entered configuration data.

[1803] Operation: The user terminal sends the entered data to the server.

[1804] Step 2:

[1805] Saving the setting data

[1806] Server: Receives the initial setting data sent from the device and stores it in a database.

[1807] Input: Initialization data.

[1808] Output: Configuration data stored in the database.

[1809] How it works: The server stores the data in a MySQL database.

[1810] Step 3:

[1811] Obtaining external information

[1812] Server: Based on the saved initial setting data, obtain information on candidate stores or inventory information from an external information system. Obtain the necessary information using API.

[1813] Input: Saved initial setting data.

[1814] Output: Store information or inventory information obtained from an external information system.

[1815] How it works: The server calls and receives data through a RESTful API.

[1816] Step 4:

[1817] Extracting internal data

[1818] Server: Extracts information on participants' allergies and preferences from an internal database, as well as information on storage locations of materials and transport robots.

[1819] Input: Saved configuration data.

[1820] Output: Extracted allergy information, preference information, storage location of materials, and location information of the transport robot.

[1821] How it works: The server queries and extracts information from a MySQL database.

[1822] Step 5:

[1823] Generate candidate list

[1824] Server: Based on the extracted information, narrow down the candidate stores or material locations and transport routes.

[1825] Inputs: Information from external information systems and internal databases.

[1826] Output: A candidate list.

[1827] How it works: The server applies a data filtering algorithm to generate a candidate list.

[1828] Step 6:

[1829] Presenting a candidate list

[1830] Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[1831] Input: Suggestion list.

[1832] Output: The candidate list displayed on the user's terminal.

[1833] How it works: The server sends data via a RESTful API.

[1834] Step 7:

[1835] Candidate Selection

[1836] Terminal: The user reviews the list of options sent and selects the best date, time, restaurant, seating arrangement, or location and delivery route.

[1837] Input: Suggestion list.

[1838] Output: Selected information.

[1839] How it works: The user makes a selection on their smart glasses or smartphone and sends it to the server.

[1840] Step 8:

[1841] Save selection information

[1842] Server: Receives the selection information sent from the user terminal and stores it in a database.

[1843] Input: Selection information.

[1844] Output: Selection information stored in a database.

[1845] How it works: The server stores the selection information in a MySQL database.

[1846] Step 9:

[1847] Automatic processing (reservation of social gatherings)

[1848] Server: Based on the selected information, the internal approval system is automatically accessed and the application process for holding the social gathering is carried out.

[1849] Input: Selection information.

[1850] Output: Notification of application completion to the approval system.

[1851] How it works: The server sends the application data via a RESTful API.

[1852] Step 10:

[1853] Automatic processing (store reservations, material transport)

[1854] Server: Automatically reserves selected stores using external APIs, and in the case of factory material management, controls robots to transport materials.

[1855] Input: Selection information.

[1856] Output: Reservation Completed Notification or Material Delivery Completed Notification.

[1857] Action: The server executes the operation using an external API or robot control software.

[1858] Step 11:

[1859] Payment process

[1860] Server: Automatically pay for social gatherings or materials.

[1861] Enter: Reservation or material delivery information.

[1862] Output: Payment completion notification.

[1863] What happens: The server completes the payment using an electronic payment system.

[1864] 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.

[1865] This invention is a system for improving the efficiency of organizing a social gathering, and involves the cooperation of a user terminal, a server, an external information providing system, and an emotion engine that recognizes the user's emotions. Specific embodiments of this system are described below.

[1866] Initial Setup

[1867] 1. User terminal: The user logs in to the system and enters the participating department (e.g., Sales Department) and desired date and time (e.g., 7:00 PM on March 15th) on the "Social Gathering Settings" screen. Next, the user enters the purpose of the social gathering (e.g., a welcome party for new employees) and submits this information.

[1868] 2. Server: Receives the initial setting data sent from the user terminal and stores it in the database. This data includes basic information such as department, date, and purpose.

[1869] Candidate proposals

[1870] Based on the information entered by the user, the following steps are performed:

[1871] 1. Server: Based on the saved initial setting data, obtain information on candidate stores from an external information system. Use the API to obtain a list of stores that are available on that date and time.

[1872] 2. Server: Extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[1873] 3. Server: Narrows down candidate stores based on the extracted allergy and preference information and generates a candidate list.

[1874] 4. Server: Sends the narrowed down candidate list to the user's device and makes suggestions to the user.

[1875] Utilizing the Emotion Engine

[1876] 1. Emotion engine: Recognizes emotions in real time based on user input. For example, it analyzes emotions based on the strength and speed of keyboard input, facial recognition, etc.

[1877] 2. Server: Adjusts the evaluation of candidate stores based on the data obtained from the emotion engine. If the emotion data indicates dissatisfaction with the user, it will prioritize and suggest other candidates.

[1878] 3. User device: The user reviews the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The presentation order is adjusted in real time based on emotional feedback.

[1879] Candidate selection and confirmation

[1880] 1. User terminal: The user sends the selection information to the server.

[1881] 2. Server: Receives the selection information sent from the user terminal and stores it in a database.

[1882] Automatic Processing

[1883] The server performs the following automatic processing to reduce the burden on the user.

[1884] 1. Server: Based on the selected information, the internal approval system is accessed and the application procedure for hosting a social gathering is automatically carried out. The required information is entered and the application button is clicked.

[1885] 2. Server: Automatically reserve the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[1886] 3. Server: Processes payments and automates payments for social gatherings. Accesses the company's payment system and completes payments for reservations.

[1887] Specific examples

[1888] The user selects "Sales Department," sets the desired date and time to "March 15th, 7:00 PM," and the purpose of the social gathering to "New Employee Welcome Party," and submits the request. The server calls an external API to obtain information on available restaurants, extracts allergy information from the company's internal database, and narrows down the list of candidate restaurants. The server then presents the user with a list of candidates such as "Izakaya A" and "Izakaya B," but adjusts the order and content of the list in real time if the user expresses emotional dissatisfaction. Once the user has made the optimal selection, the server submits an application to the company's internal approval system, automatically reserving the selected restaurant, "Izakaya A," and completing payment.

[1889] In this way, this system allows junior employees to efficiently carry out the organizing duties of a social gathering while taking into consideration the emotional state of the user and without placing a burden on them.

[1890] The processing flow will be explained below.

[1891] Step 1:

[1892] A user logs in to the system using a terminal, and enters a username and password on the login screen for authentication.

[1893] Step 2:

[1894] The user opens the "Social Gathering Settings" screen and enters the participating department (e.g., Sales Department) and the desired date and time (e.g., 19:00 on March 15th).

[1895] Step 3:

[1896] The user inputs the purpose of the social gathering (e.g., a welcome party for new employees), confirms that the setting is to activate the emotion engine, and then transmits the setting data.

[1897] Step 4:

[1898] The server receives the initial setting data sent from the user terminal and stores the received data in a database.

[1899] Step 5:

[1900] The server transmits a request to acquire information on candidate stores from an external information providing system based on the initial setting data stored in the database.

[1901] Step 6:

[1902] The server obtains a list of stores with availability on the date and time from an external information providing system and analyzes the obtained data.

[1903] Step 7:

[1904] The server extracts allergy and preference information for each employee from the company database. For example, "Mr. Sugiyama is allergic to shrimp" or "Mr. Sato likes Japanese sake."

[1905] Step 8:

[1906] The server narrows down the candidate stores based on the extracted allergy information and preference information and generates a candidate list.

[1907] Step 9:

[1908] The server transmits the narrowed candidate list to the user terminal.

[1909] Step 10:

[1910] The user's device will display a list of candidates, and the emotion engine will begin to recognize the user's emotions, for example, by analyzing facial recognition and keyboard typing speed.

[1911] Step 11:

[1912] The user checks the candidate list and selects the most suitable restaurant (e.g., Izakaya A) and seating arrangement (e.g., table - 3 seats). The emotion engine analyzes the user's emotions in real time, and if the user is dissatisfied, the server readjusts the order of the candidate list.

[1913] Step 12:

[1914] The user sends the selection information to the server.

[1915] Step 13:

[1916] The server receives the selection information sent from the user terminal and stores it in a database.

[1917] Step 14:

[1918] Based on the selected information saved on the server, the user accesses the internal approval system and applies for hosting a social gathering. The required information is automatically entered and the user clicks the application button.

[1919] Step 15:

[1920] The server automatically reserves the selected store using an external API. Enter the reservation information and confirm the store reservation via the API.

[1921] Step 16:

[1922] The server processes the payment and automatically pays for the social gathering, accessing the company's payment system to complete the payment for the reservation.

[1923] Example 2

[1924] 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."

[1925] Planning and running social gatherings is an important part of modern business operations, but doing it manually takes a lot of time and effort. It is also difficult to select an appropriate venue while taking into account the individual preferences and allergy information of participants. Furthermore, satisfaction would be improved if candidate facilities could be prioritized while reflecting the participants' intentions and emotions. However, current systems have difficulty dynamically adjusting the system to take emotional feedback into account. There is a need to solve these issues.

[1926] 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.

[1927] I...

Claims

1. A means for the user to input the department to attend the social gathering and the desired date and time; a means for acquiring information on candidate stores from an external information providing system based on the departments participating in the social gathering and the desired date and time input by the input means; A means for extracting information on allergies and preferences of participants from an internal company database in order to narrow down the information on candidate stores acquired by the acquisition means; a means for narrowing down candidate stores based on the information extracted by the extraction means and presenting a candidate list; means for receiving store information selected from the candidate list from the user; means for automatically booking and paying for the social gathering based on the selected information; A system including:

2. The system according to claim 1 , further comprising a means for prioritizing candidate stores based on store information acquired from the external information providing system and allergy information and preference information extracted from an internal company database.

3. The system according to claim 1 , wherein the reservation means includes means for automatically passing the reservation through an internal approval system.

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