System

Abstract

A system is provided.SOLUTION: A system comprising: means for allowing a user to input conditions including travel destination, date, number of people, budget, distance, and transportation; means for receiving the conditions and accessing a database to generate a search query; means for performing a search for accommodation and transportation based on the search query to identify available options; means for presenting a list of the available options to the user; means for performing a reservation procedure for the accommodation and transportation selected by the user; and means for notifying the user of a result of the reservation procedure.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] Current online travel agency (OTA) sites have the problem that well-known accommodations are often booked first, making it difficult for users to search for other accommodations. Furthermore, when planning a trip, users must separately research destination information and travel requirements, which is time-consuming and makes it difficult to plan trips efficiently. Furthermore, users must individually check the availability of multiple accommodations and transportation options and manually make reservations, which increases the burden on users. There is a need for a system that can solve these problems and enable users to plan and book trips more easily and efficiently. [Means for solving the problem]

[0005] The present invention provides a system including: a means for allowing a user to input travel conditions, including travel destination, date, number of people, budget, distance, and mode of transportation; a means for receiving the conditions and accessing a database to generate a search query; a means for searching for accommodations and modes of transportation based on the search query and identifying available options; a means for presenting a list of the available options to the user; a means for completing a reservation procedure for the accommodations and modes of transportation selected by the user; and a means for notifying the user of the results of the reservation procedure. This allows users to easily and efficiently plan a trip that meets their requirements and book accommodations and modes of transportation in a centralized manner. Furthermore, by using an artificial intelligence algorithm to generate the search query and identify accommodations, the system provides more accurate search results and suggests optimal travel options for users. Furthermore, by including a means for aggregating and updating availability information from multiple accommodations and modes of transportation in real time, the system can always provide users with the latest information.

[0006] "User" means an individual or organization that uses the System to plan and book travel.

[0007] "Conditions" are information such as the travel destination, date, number of people, budget, distance, and means of transportation entered by the user.

[0008] The "server" is the central computer of this system, which receives conditions from users, accesses the database to generate search queries, and performs calculations and provides information.

[0009] A "terminal" is a device that allows a user to access the system, enter conditions, and check the results, and examples of this include smartphones, tablets, and PCs.

[0010] A "database" is a large storage device that stores information about accommodations and transportation options for searching.

[0011] A "search query" is a command statement for searching a database based on criteria received from a user.

[0012] "Accommodation" refers to a place where a user stays during a trip, and includes hotels, guesthouses, resorts, etc.

[0013] "Transportation" refers to the means of transportation used by the user during the trip, including bullet trains, buses, private cars, airplanes, and the like.

[0014] "Available options" is a list of available accommodations and transportation options searched based on the user's input criteria.

[0015] An "artificial intelligence algorithm" is a computational method for providing optimal search results based on the user's criteria, and refers to one that uses machine learning and data analysis techniques.

[0016] "Real-time" refers to a state in which information is updated almost simultaneously with real time, meaning that the latest data is always provided to users. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0018] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0020] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0021] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0022] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0023] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0025] [First embodiment]

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

[0027] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0030] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0034] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0035] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0037] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0038] The present invention, the "AI Travel Concierge System for Travel Support Based on Purpose," is a system in which users input travel conditions such as destination, date, number of people, budget, distance, and transportation, and the server searches for and makes reservations for the most suitable accommodations and transportation based on these conditions. This system is equipped with a variety of functions to enable users to easily plan their trips.

[0039] Program processing explanation

[0040] 1. Enter conditions and send

[0041] The user inputs travel conditions using a terminal. Using the system's app, the user inputs information such as the travel destination, date, number of people, budget, distance, and transportation method.

[0042] The terminal sends the entered conditions to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[0043] 2. Receiving and parsing conditions

[0044] The server parses the received conditions, decodes the transmitted data, and extracts the required parameters.

[0045] The server generates a search query based on the required parameters, which is targeted against a database of accommodations and transportation options.

[0046] 3. Finding accommodation and transportation

[0047] The server searches its database for matching accommodation and transportation options, using artificial intelligence algorithms to identify the options that best suit the user's requirements.

[0048] The server filters the search results and generates a list of available options.

[0049] 4. Providing search results

[0050] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0051] The device analyzes the received data and displays a list to the user, who can then select their preferred accommodation and transportation options.

[0052] 5. Booking procedure

[0053] The user selects accommodation and transportation and enters information to proceed with the booking.

[0054] The terminal sends the reservation information selected by the user to the server. The reservation information is encoded in JSON format or similar and sent to the server as an HTTP request.

[0055] Based on the reservation information received by the server, the reservation system API for accommodation and transportation is called and the reservation process is carried out.

[0056] 6. Booking completion and notification

[0057] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[0058] The terminal displays the received confirmation information to the user, notifying him or her that the reservation has been completed.

[0059] Specific examples

[0060] For example, suppose a user sets the purpose as "sightseeing," the date as "3 days from January 10, 2023," the number of people as "4 people," the budget as "60,000 yen per person," the distance as "within 300 km," and the means of transportation as "Shinkansen." In this case, the user enters these conditions using a device and sends them to the server. Based on the received information, the server uses an AI algorithm to search for accommodation and transportation that meet the conditions.

[0061] The search results show a list of five hotels and three guesthouses. The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[0062] In this way, the system allows users to easily and efficiently plan their trips and make reservations for accommodations and transportation all in one place.

[0063] The processing flow will be explained below.

[0064] Step 1:

[0065] The user opens the "Travel Con" app on their device.

[0066] Step 2:

[0067] The user inputs travel conditions including the destination, date, number of people, budget, distance, and mode of transportation.

[0068] Step 3:

[0069] The terminal sends the entered conditions to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[0070] Step 4:

[0071] The server parses the received conditions, decodes the transmitted data, and extracts the required parameters.

[0072] Step 5:

[0073] The server generates a search query based on the required parameters, which is targeted against a database of accommodations and transportation options.

[0074] Step 6:

[0075] The server searches the database to find accommodations and transportation options that meet the criteria.

[0076] Step 7:

[0077] The server uses artificial intelligence algorithms to identify the options that best suit the user's criteria.

[0078] Step 8:

[0079] The server filters the search results and generates a list of available options.

[0080] Step 9:

[0081] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0082] Step 10:

[0083] The device analyzes the received data and displays a list to the user, who can then select the desired accommodation and transportation options from the displayed list.

[0084] Step 11:

[0085] The user selects accommodation and transportation and enters information for booking.

[0086] Step 12:

[0087] The device sends the user's reservation information to the server. The reservation information is encoded in JSON format or similar and sent to the server as an HTTP request.

[0088] Step 13:

[0089] The server receives the reservation information and calls the accommodation and transportation reservation system APIs to complete the reservation process.

[0090] Step 14:

[0091] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[0092] Step 15:

[0093] The terminal receives the confirmation information and displays it to the user, who is notified that the reservation is complete.

[0094] Example 1

[0095] 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."

[0096] Conventional travel planning and reservation systems have the disadvantage of requiring users to individually search for and book accommodations and transportation options, which requires a lot of time and effort. Furthermore, users must use multiple websites and services to find the optimal accommodation and transportation option, which is also cumbersome for users. Furthermore, availability cannot be determined in real time, which increases the risk of a failed reservation. The present invention aims to solve these problems by providing a system that allows users to efficiently plan trips and book optimal accommodations and transportation options in a unified manner.

[0097] 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.

[0098] In this invention, the server includes: means for having a user input travel conditions including travel destination, date, number of people, budget, distance, and means of transportation; means for receiving the conditions and accessing a database to generate a search query; means for searching for accommodations and transportation based on the search query and identifying available options using an artificial intelligence algorithm; means for presenting a list of the available options to the user and displaying it on a user interface; means for calling a reservation system API to complete a reservation procedure for the accommodations and transportation selected by the user; and means for notifying the user of the results of the reservation procedure and displaying it on a user interface. This allows users to easily and quickly plan their trip and make reservations for accommodations and transportation in a unified manner.

[0099] "User" means an individual or entity that utilizes the System to input travel requirements and search for and book accommodations and transportation.

[0100] A "terminal" is a device that allows a user to perform input operations, and includes a smartphone, tablet, PC, etc.

[0101] "Server" means the computer system that receives and analyzes the data sent by the User, generates search queries based on the User's criteria, and searches for and reserves accommodation and transportation.

[0102] "Conditions" are information that a user inputs when making travel plans, and include elements such as destination, date, number of people, budget, distance, and means of transportation.

[0103] "Database" refers to a collection of information storing accommodation and transportation information based on a search query.

[0104] "Search query" means a specific inquiry used by a server to search a database based on criteria entered by a user.

[0105] "Artificial intelligence algorithm" means a computational method, including machine learning models, used to identify the most suitable accommodation and transportation options based on a user's criteria.

[0106] "Options" refers to accommodation and transportation options identified as search results.

[0107] A "user interface" refers to the screens and operating elements displayed on a terminal, providing the means for a user to operate the system.

[0108] "Reservation System API" means the application program interface that the server calls to make reservations for accommodations and transportation.

[0109] "JSON format" refers to a lightweight data exchange format that expresses data in text format and allows for the efficient exchange of structured information.

[0110] "HTTP request" refers to a request message of a communication protocol used to send data from a user's terminal to a server.

[0111] "HTTP response" refers to a response message of a communication protocol used to return data from a server to a user's terminal.

[0112] The present invention, the "Objective-Specific Travel Support AI Travel Concierge System," is a system that allows users to input travel conditions, search for the most suitable accommodations and transportation based on those conditions, and even make reservations in an integrated manner. This system operates around the user, terminals, and server, each of which plays a different role.

[0113] First, the user inputs the travel conditions using a device. The device can be a smartphone, tablet, or PC. The user inputs information such as the travel destination, date, number of people, budget, distance, and means of transportation through a dedicated app or website. These conditions are sent to the server as an HTTP request.

[0114] The server decodes and parses the received JSON data, extracts necessary parameters (destination, date, number of people, etc.), and generates a search query based on that information. This search query targets a database of accommodation and transportation options, and can be an SQL or NoSQL query.

[0115] The server then searches its database for accommodation and transportation options that fit the user's criteria. This process uses artificial intelligence algorithms, specifically machine learning models, to identify the best options for the user. The algorithms refer to historical data and user ratings to select the best options.

[0116] The server filters the search results and generates a list of available options. This list is again encoded in JSON and sent as an HTTP response to the user's device. The device decodes the received data and displays the search results in a user interface. The user can then select their preferred accommodation and transportation options from the displayed list.

[0117] When the user enters reservation information for the selected accommodation and transportation, the device encodes this information in JSON format and sends it to the server. The server then calls the reservation system APIs of the relevant accommodation and transportation providers based on the received reservation information to confirm the actual reservation.

[0118] Finally, the server generates a reservation confirmation and notifies the user's device, which then decodes the information and displays the reservation completion on the user interface, allowing the user to easily and quickly plan their trip.

[0119] Specific examples

[0120] For example, suppose a user enters the following criteria for the purpose of "sightseeing":

[0121] Date: 3 days from January 10, 2023

[0122] Number of people: 4 people

[0123] Budget: 60,000 yen per person

[0124] Distance: Within 300km

[0125] Transportation: Shinkansen

[0126] The user inputs these requirements into a device and sends them to the server, which then uses AI algorithms to search for accommodation and transportation options that meet the requirements.

[0127] The search results show a list of five hotels and three guesthouses. The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[0128] Prompt Sentence Examples

[0129] The following prompts are used to generate a travel plan using a generative AI model:

[0130] I am planning a trip for sightseeing. Please suggest accommodation and transportation that meet the following criteria:

[0131] Date: 3 days from January 10, 2023

[0132] Number of people: 4 people

[0133] Budget: 60,000 yen per person

[0134] Distance: Within 300km

[0135] Transportation: Shinkansen

[0136] Provide your search results as a list of 5 hotels and 3 guesthouses.

[0137] Thus, through the embodiment of the present invention, a user can efficiently and quickly plan and book a trip.

[0138] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0139] Program processing steps

[0140] Step 1:

[0141] The user enters the conditions

[0142] Input: The user enters travel conditions (destination, date, number of people, budget, distance, and means of transportation) into the terminal.

[0143] Data processing: The terminal encodes the entered conditions into JSON format.

[0144] Output: The encoded JSON data is generated.

[0145] Specific action: A user enters information into a form via a dedicated app or website on a smartphone or computer and presses the "Submit" button.

[0146] Step 2:

[0147] The device sends the conditions to the server

[0148] Input: Data in JSON format.

[0149] Data processing: The device creates an HTTP request and sends JSON formatted data to the server.

[0150] Output: The JSON data sent as the HTTP request.

[0151] Specific operation: The device generates an HTTP request based on the user's input and sends the request to the specified server URL.

[0152] Step 3:

[0153] The server receives and analyzes the conditions

[0154] Input: HTTP request and JSON format data sent from the terminal.

[0155] Data processing: The server decodes the data received and extracts the necessary parameters.

[0156] Output: Extracted parameters (destination, date, number of people, etc.).

[0157] Specific operation: The server receives an HTTP request, and the parsing engine decodes the JSON data and extracts the necessary information.

[0158] Step 4:

[0159] The server generates a search query

[0160] Input: The extracted parameters.

[0161] Data processing: The server generates SQL or NoSQL queries for database searches.

[0162] Output: The generated search query.

[0163] What happens: The server generates a specific search query based on the parameters to a database of accommodations and transportation options.

[0164] Step 5:

[0165] The server searches the database

[0166] Input: The generated search query.

[0167] Data processing: The server searches the database to gather matching accommodation and transportation information, applying artificial intelligence algorithms to identify suitable options.

[0168] Output: Search results (accommodation and transportation information).

[0169] What it does: The server queries the database, and the artificial intelligence model filters the best results.

[0170] Step 6:

[0171] The server lists the search results

[0172] Input: Search result information.

[0173] Data processing: The server encodes the search results into JSON format and generates a list of available options.

[0174] Output: A list of results in JSON format.

[0175] Specific behavior: Encode the filtered results and collect them as a list.

[0176] Step 7:

[0177] The device receives and displays the search results.

[0178] Input: A list of results in JSON format sent by the server.

[0179] Data processing: The terminal decodes the JSON data and displays the list in the user interface.

[0180] Output: The result list displayed in the user interface.

[0181] Specific operation: The device parses the received JSON data and displays the result list on the screen.

[0182] Step 8:

[0183] The user proceeds with the booking process

[0184] Input: Accommodation and transportation information selected by the user.

[0185] Data processing: The user enters reservation information, and the device encodes the information into JSON format.

[0186] Output: The encoded reservation information.

[0187] Specific actions: The user selects the desired accommodation and transportation, presses the "Book" button, and enters the required information.

[0188] Step 9:

[0189] The device sends the reservation information to the server.

[0190] Input: Reservation information in JSON format.

[0191] Data processing: The device creates an HTTP request and sends the reservation information to the server.

[0192] Output: Reservation information sent as an HTTP request.

[0193] Specific operation: The terminal generates an HTTP request and sends the reservation information to the server.

[0194] Step 10:

[0195] The server completes the reservation process

[0196] Input: Reservation information.

[0197] Data processing: Based on the reservation information received by the server, the reservation system APIs of accommodation and transportation companies are called to confirm the reservation.

[0198] Output: Confirmed reservation information.

[0199] Specific operation: The server calls the relevant API to complete the reservation procedure.

[0200] Step 11:

[0201] The server notifies the terminal of the confirmed reservation information.

[0202] Input: Confirmation of reservation information.

[0203] Data processing: The server encodes the reservation confirmation information into JSON format and sends it to the terminal as an HTTP response.

[0204] Output: Encoded booking confirmation information.

[0205] Specific operation: The server sends the reservation confirmation information to the terminal as an HTTP response.

[0206] Step 12:

[0207] The terminal displays the reservation confirmation information to the user.

[0208] Input: Confirmed reservation information sent from the server.

[0209] Data processing: The terminal decodes the reservation confirmation information received and displays it on the user interface.

[0210] Output: Booking completion information displayed in the user interface.

[0211] Specific Action: Allows the user to confirm the confirmed information displayed in the user interface.

[0212] (Application example 1)

[0213] 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."

[0214] In today's society, people need fast and efficient travel planning and meal delivery services. However, current systems make it difficult to centrally manage travel and meal planning, and it takes a lot of effort for users to find the best restaurant and delivery options. Furthermore, it is difficult to provide these services on a single platform.

[0215] 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.

[0216] In this invention, the server includes means for allowing a user to input conditions including travel or dining destination, date, number of people, budget, distance, transportation means, or delivery method, means for receiving the conditions and accessing a database to generate a search query, and means for searching accommodations and transportation means or restaurants and delivery options based on the search query and identifying available options, thereby enabling users to centrally manage their travel and dining plans and efficiently find optimal options.

[0217] "User" refers to a person who uses this system to plan trips and meals.

[0218] "Travel" refers to travel, including accommodation and transportation, to reach a destination and for a specified period of time.

[0219] "Dining" refers to the act of consuming food and beverages served at a restaurant or eating establishment.

[0220] "Conditions" refers to information entered by a user including travel or dining destination, date, number of people, budget, distance, transportation means or delivery method.

[0221] "Database" refers to a system that stores information about accommodation, transportation, restaurants and delivery options.

[0222] "Search query" refers to instructions generated to search a database based on user-entered criteria.

[0223] "Accommodation" refers to a facility that provides a place for users to stay for a specified period of time.

[0224] "Transportation" refers to the vehicle or means used by a user to travel to a destination.

[0225] "Restaurant" means a place for serving food.

[0226] "Delivery options" refers to the means or methods by which meals are delivered to a location and time specified by the user.

[0227] "Artificial intelligence algorithms" refer to computational methods used to identify the best accommodation, transportation, restaurant and delivery options based on your criteria.

[0228] "Reservation Process" means the process by which a User confirms the availability of their selected accommodation, transportation, restaurant and delivery options.

[0229] "Notification" refers to the act of informing a user of the results of a reservation procedure or other important information.

[0230] MODE FOR CARRYING OUT THE INVENTION

[0231] The present invention is a system that allows users to centrally plan their travel and dining plans. This system can be implemented using devices such as smartphones, tablets, and PCs. Specifically, the system allows users to input travel or dining requirements, and based on those requirements, it suggests optimal accommodations, transportation, restaurants, and delivery options, and allows users to make reservations and orders.

[0232] System Program

[0233] The system mainly consists of the following components:

[0234] User device: A device that can connect to the internet, such as a smartphone or tablet.

[0235] Server: A device that uses databases and AI algorithms to search, suggest, and reserve the best options based on the user's criteria.

[0236] Database: A system that stores information about accommodation, transportation, restaurants, and delivery options.

[0237] Program processing

[0238] 1. User inputs conditions

[0239] The user inputs travel or dining requirements (destination, date, number of people, budget, distance, transportation or delivery method) using a terminal. These requirements are sent to the server in JSON format.

[0240] 2. Data Reception and Analysis

[0241] The server receives the conditions sent from the device and analyzes the data. Specifically, it decodes the JSON format data and extracts the necessary parameters.

[0242] 3. Generating search queries

[0243] The server generates a search query based on the extracted parameters, the search query covering accommodation, transportation, restaurant and delivery options in the database.

[0244] 4. Searching and filtering options

[0245] The server uses artificial intelligence algorithms to search the database and identify available options that match your criteria, using AI frameworks like TensorFlow and PyTorch to suggest the best options.

[0246] 5. Providing search results

[0247] The server encodes the search results in JSON format and sends them to the user's device as an HTTP response, where the user can select the desired option from the displayed list.

[0248] 6. Reservation and Order Process

[0249] Based on the options selected by the user, the device sends reservation and ordering information back to the server, which then uses this information to process reservations for the accommodations, transportation, restaurants, and delivery options.

[0250] 7. Booking completion and notification

[0251] The server generates reservation confirmation information and notifies the user's terminal, which displays this information and notifies the user that the reservation has been completed.

[0252] Specific examples

[0253] For example, suppose a user requests "Italian" dinner for three people on "October 15, 2023, 7:00 PM," with a budget of 3,000 yen per person, and selects delivery by car. In this case, the user enters these conditions using their device and sends them to the server. Based on the received information, the server uses an AI algorithm to search for restaurants and delivery options that meet the conditions. Appropriate candidates are displayed as search results, and the user selects the desired restaurant from the list and taps the "Book Now" button. This operation causes the server to call the restaurant's reservation system API to confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[0254] Prompt Sentence Examples

[0255] The user is looking for dinner at an Italian restaurant for three people at 7:00 PM on October 15, 2023, with a budget of 3,000 yen per person. The user also wants delivery by car.

[0256] In this way, a system can be realized that allows users to easily and efficiently manage travel and meal plans in one place.

[0257] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0258] Step 1:

[0259] Conditions entered by the user

[0260] The user uses the terminal to input the travel or dining destination, date, number of people, budget, distance, transportation method or delivery method. The input conditions are encoded in JSON format. This enables searches based on the conditions. Input data: destination, date, number of people, budget, distance, transportation method or delivery method. Output data: condition data in JSON format.

[0261] Step 2:

[0262] Conditional reception and analysis by the server

[0263] The server receives the JSON formatted condition data sent by the device. The server decodes this data and extracts the necessary parameters. This generates a search query based on the user's requirements. Input data: JSON formatted condition data. Output data: Extracted parameters.

[0264] Step 3:

[0265] Server-generated search queries

[0266] The server uses the extracted parameters to generate a search query for accommodation, transportation, restaurants and delivery options, ready to query the database. Input data: extracted parameters. Output data: search query.

[0267] Step 4:

[0268] Server-based option search and determination

[0269] The server uses the generated search query to search its database. It uses artificial intelligence algorithms to identify the accommodation, transportation, restaurant and delivery options that best fit the user's criteria. AI frameworks such as TensorFlow and PyTorch are used here. The search results are filtered to select the best options. Input data: search query. Output data: list of options that match the criteria.

[0270] Step 5:

[0271] Server provides search results

[0272] The server encodes the option list that matches the conditions into JSON format and sends it to the user's device as an HTTP response, allowing the user to confirm the options. Input data: Option list that matches the conditions. Output data: Option list in JSON format.

[0273] Step 6:

[0274] User selects an option

[0275] The user selects the desired accommodation, transportation, restaurant, and delivery options from the option list displayed on the terminal. The selected options are again encoded in JSON format and sent to the server. Input data: Options selected by the user. Output data: Reservation information in JSON format.

[0276] Step 7:

[0277] Server executes reservation procedure

[0278] The server processes the reservation for each accommodation, transportation, restaurant, and delivery option based on the received reservation information. This includes calling external APIs. Once the reservation is confirmed, the server generates the reservation result. Input data: Reservation information in JSON format. Output data: Reservation result.

[0279] Step 8:

[0280] Server notification of reservation completion

[0281] The server generates a notification indicating that the reservation has been completed and sends it to the user's device. The device receives this information and notifies the user that the reservation has been confirmed. Input data: Reservation result. Output data: Reservation completion notification.

[0282] 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.

[0283] The present invention combines a system in which a user inputs travel conditions such as destination, date, number of people, budget, distance, and transportation, and a server searches for the most suitable accommodation and transportation based on these conditions, and even makes reservations, with an emotion engine that recognizes the user's emotions. This makes it possible to make travel suggestions according to the user's emotional state, improving travel satisfaction.

[0284] Program processing explanation

[0285] 1. Enter conditions and send

[0286] When a user opens the "Tabikon" app on their device, an emotion engine runs in the background to recognize the user's emotional state from their facial expressions and voice.

[0287] The user inputs travel conditions, including the destination, date, number of people, budget, distance, and means of transportation, and the device transmits these conditions along with emotion data to the server.

[0288] 2. Receiving and parsing conditions

[0289] The server analyzes the received condition and emotion data, decodes the data entered by the user, and extracts the necessary parameters and emotion data.

[0290] The server generates a search query based on the required parameters, which also takes emotion data into account.

[0291] 3. Finding accommodation and transportation

[0292] The server searches its database to find accommodation and transportation options that match the user's requirements and emotions, using artificial intelligence algorithms to identify the best options based on the user's emotional state.

[0293] The server filters the search results and generates a list of available options.

[0294] 4. Providing search results

[0295] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0296] The device analyzes the received data and displays a list to the user, which reflects the user's emotions.

[0297] 5. Booking procedure

[0298] The user selects accommodation and transportation and enters information for reservation, which the terminal then sends to the server.

[0299] Based on the reservation information received by the server, the reservation system APIs for accommodation and transportation are called to complete the reservation process.

[0300] 6. Booking completion and notification

[0301] The server generates the reservation confirmation information and notifies the user's device. The display format may also be customized based on the user's emotions.

[0302] The terminal receives the confirmation information and displays it to the user, who is notified that the reservation is complete.

[0303] Specific examples

[0304] For example, suppose a user's goal is "relaxation," and they set the date as "three days from January 10, 2023," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the means of transportation as "bus." In this case, the user enters these conditions using their device and sends them to the server. The emotion engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends it to the server.

[0305] Based on the received information and emotional data, the server uses an AI algorithm to prioritize and provide options with a strong healing element and comprehensive relaxation programs, such as a resort hotel with a spa or a quiet mountain lodge.

[0306] The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device, completing a travel plan that perfectly suits their desire to relax.

[0307] In this way, users can easily and efficiently plan their trips and book accommodations and transportation all in one place, and the system can improve their travel satisfaction through personalized suggestions provided by the emotion engine.

[0308] The processing flow will be explained below.

[0309] Step 1:

[0310] When a user opens the Tabikon app on their device, an emotion engine that analyzes the user's facial expressions and voice runs in the background.

[0311] Step 2:

[0312] The user inputs travel conditions, including the destination, date, number of people, budget, distance, and mode of transportation. The device collects emotional data (e.g., stress and happiness) in parallel with the user's input of conditions.

[0313] Step 3:

[0314] The device sends the input conditions and emotion data to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[0315] Step 4:

[0316] The server analyzes the received condition and emotion data, and extracts the necessary parameters and emotion information from the decoded data.

[0317] Step 5:

[0318] The server generates a search query based on the required parameters, taking into account sentiment data as well, for example prioritizing accommodations with relaxation features for a stressed user.

[0319] Step 6:

[0320] The server searches its database to find accommodations and transportation options that match the user's criteria and emotions, using artificial intelligence algorithms to identify the options that best suit the user's emotional state.

[0321] Step 7:

[0322] The server filters the search results to generate a list of available options, ranking the recommendations according to the user's emotional state.

[0323] Step 8:

[0324] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0325] Step 9:

[0326] The device analyzes the received data and displays a list to the user, which takes into consideration the user's emotions (e.g., if you need to relax, hotels with spas will be displayed first).

[0327] Step 10:

[0328] The user selects accommodation and transportation and enters the information for reservation. The terminal sends the reservation information to the server.

[0329] Step 11:

[0330] The server receives the reservation information and calls the accommodation and transportation reservation system APIs to complete the reservation process.

[0331] Step 12:

[0332] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[0333] Step 13:

[0334] The device receives the confirmation and displays it to the user, who is notified that the reservation has been completed. The content of the notification may also be customized to take into account the user's emotional state.

[0335] Example 2

[0336] 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."

[0337] Conventional travel reservation systems simply search for and display accommodations and transportation options based on user input, making it difficult to provide personalized suggestions based on the user's emotional state and improving travel satisfaction. Furthermore, there is no way to aggregate real-time updates from multiple accommodations and transportation options, which reduces the reliability of reservations.

[0338] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for recognizing emotion data from the user's facial expression or voice, means for receiving the conditions and emotion data and accessing a database to generate a search query, and means for aggregating availability information from multiple accommodations and transportation modes and updating it in real time. This enables personalized suggestions based on the user's emotional state, improving travel satisfaction and further increasing the reliability of reservations.

[0339] "User" refers to a person who inputs travel conditions and emotional data and selects accommodation and transportation.

[0340] "Conditions" refers to information such as the travel destination, date, number of people, budget, distance, and means of transportation entered by the user.

[0341] "Emotion data" refers to the emotional state recognized by analyzing the user's facial expressions and voice.

[0342] "Server" refers to a device that receives user-entered criteria and emotion data, generates search queries, searches for accommodations and transportation options, and manages the reservation process.

[0343] "Database" refers to a collection of data containing information about accommodation and transportation options.

[0344] A "search query" refers to a search query generated based on a user's criteria and emotion data.

[0345] "Accommodation facilities" refers to facilities such as hotels, inns, and guesthouses where users can stay.

[0346] "Transportation" refers to the means of transportation used by the user when traveling, including trains, buses, airplanes, etc.

[0347] "List" refers to a list of accommodations and transportation options presented to a user as a search result.

[0348] "Reservation procedure" refers to the series of processes for actually booking the accommodation and transportation selected by the user.

[0349] "Notification" refers to information that informs the user of the results of the reservation procedure.

[0350] "Artificial Intelligence Algorithm" refers to the algorithm used by the Server to identify the most suitable accommodation and transportation options based on the User's requirements and emotional data.

[0351] The present invention is a system that combines an emotion engine that recognizes the user's emotions with a system in which a user inputs travel requirements, a server searches for the most suitable accommodations and transportation options based on those requirements, and even allows the user to make reservations. This makes it possible to make travel suggestions that correspond to the user's emotional state, improving travel satisfaction.

[0352] System configuration

[0353] The system includes the following hardware and software:

[0354] User device: smartphone, tablet, or computer

[0355] Server: Cloud server, database server

[0356] Emotion engine: facial expression recognition software, voice analysis software

[0357] AI algorithms: algorithms for generating search queries and determining the best accommodation and transportation options

[0358] Program processing explanation

[0359] The user launches the "Tabikon" app using a device (smartphone, tablet, PC, etc.). The device's built-in camera and microphone automatically activate, and the emotion engine recognizes the user's facial expressions and voice. The user then enters the travel destination, date, number of people, budget, distance, and mode of transportation on the app's interface. The device encodes these input conditions and emotion data in JSON format and sends it to the server via the HTTP protocol.

[0360] The server decodes the received data and extracts travel conditions and emotion data. Based on the extracted data, it generates a query to search for accommodation and transportation options, and the search query also takes emotion data into account. The server searches a database to find suitable accommodation and transportation options based on the user's input conditions and emotion state. It filters the search results and generates a list of available options.

[0361] The server again encodes the generated list in JSON format and sends it to the user's device as an HTTP response. The device analyzes the received data and displays the list to the user. The user selects the desired accommodation and transportation method from the displayed list and enters the reservation information on the device. The device again sends the reservation information to the server, and the server calls the accommodation and transportation reservation system APIs based on the received reservation information to complete the reservation process. Finally, the server generates confirmed reservation information and sends it to the user's device. The device displays the received confirmed information to the user.

[0362] Specific examples

[0363] For example, suppose a user's goal is "relaxation," and they set the date as "three days from January 10, 2023," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the means of transportation as "bus." The user enters these conditions using their device and sends them to the server. At the same time, the emotion engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends that data to the server.

[0364] Based on the received information and emotional data, the server uses an AI algorithm to search and provide options that prioritize soothing accommodations and those with comprehensive relaxation programs. For example, a resort hotel with a spa or a quiet mountain lodge may be listed as options. The user selects the desired accommodation from this list and proceeds with the reservation process. Finally, a notification is displayed on the user's device indicating that the reservation has been completed.

[0365] Example prompt for a generative AI model:

[0366] Please provide a trip proposal that meets the following criteria. Please be specific and include a detailed itinerary:

[0367] Destination: Hot spring resort

[0368] Date: May 1st to 4th, 2023

[0369] Number of people: 2 people

[0370] Budget: 60,000 yen per person

[0371] Distance: Within 300km

[0372] Transportation: train

[0373] Also, users have the emotion of wanting to relax. Please suggest travel plans that correspond to their emotions.

[0374] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0375] Step 1: Launch the app

[0376] When the user launches the Tabikon app on their device, the device's camera and microphone are automatically activated and the emotion engine begins running in the background.

[0377] Input: The user launches the app.

[0378] Output: The camera and microphone are activated and the emotion engine begins to operate.

[0379] Step 2: Enter conditions

[0380] The user enters the travel destination, date, number of people, budget, distance, and transportation method on the app interface. For example, "Destination: Kyoto," "Date: May 1st to 3 days, 2023," and "Number of people: 2."

[0381] Input: The user enters the travel conditions (destination, date, number of people, budget, distance, and means of transportation).

[0382] Output: The input condition data.

[0383] Step 3: Recognize and transmit emotion data

[0384] The device uses a camera and microphone to analyze the user's facial expressions and voice, recognizing emotional data. The emotion engine then identifies the user's emotional state, such as "I want to relax" or "I'm excited."

[0385] Input: User's facial and voice data.

[0386] Output: Recognized emotion data.

[0387] Step 4: Sending data

[0388] The terminal encodes the input condition data and emotion data in JSON format and sends it to the server via the HTTP protocol.

[0389] Input: Condition data and emotion data.

[0390] Output: Data encoded in JSON format.

[0391] Step 5: Receiving and analyzing data

[0392] The server decodes the received data and extracts the condition data and emotion data.

[0393] Input: Data encoded in JSON format.

[0394] Output: Condition data and emotion data.

[0395] Step 6: Generating a search query

[0396] The server generates a search query based on the condition data and emotion data. For example, if the user's emotional state is "I want to relax," a query reflecting that emotion is generated.

[0397] Input: Condition data and emotion data.

[0398] Output: The search query.

[0399] Step 7: Search the database

[0400] The server searches its database for accommodation and transportation options that match the user's criteria and sentiment, using AI algorithms to identify the best options.

[0401] Input: Search query.

[0402] Output: Search result data.

[0403] Step 8: Filtering the results and generating a list

[0404] The server filters the search results to generate a list of available options that reflects the user's emotional state.

[0405] Input: Search result data.

[0406] Output: A list of available options.

[0407] Step 9: Submit the list

[0408] The server encodes the generated list in JSON format and sends it to the user's device as an HTTP response.

[0409] Input: A list of available options.

[0410] Output: List data encoded in JSON format.

[0411] Step 10: View the list

[0412] The device decodes the received data and displays a list to the user, which reflects the user's emotional state.

[0413] Input: List data encoded in JSON format.

[0414] Output: The displayed list.

[0415] Step 11: Select your booking options

[0416] The user selects accommodation and transportation from the displayed list and enters the information for booking. For example, the user selects "a hotel with a relaxing spa."

[0417] Input: User selection and reservation information.

[0418] Output: Selected accommodation and transportation data.

[0419] Step 12: Submit reservation information

[0420] The terminal encodes the reservation information entered by the user in JSON format and sends it to the server via the HTTP protocol.

[0421] Input: Reservation information.

[0422] Output: Reservation data encoded in JSON format.

[0423] Step 13: Call the booking system API

[0424] Based on the reservation information received by the server, the reservation system APIs for accommodation and transportation are called to complete the reservation process.

[0425] Input: Reservation data encoded in JSON format.

[0426] Output: Confirmed reservation data.

[0427] Step 14: Generate and notify booking confirmation

[0428] The server generates a confirmation of the reservation and sends it to the user's device, including the reservation details and a confirmation number.

[0429] Input: Confirmed reservation data.

[0430] Output: Confirmed information for notification.

[0431] Step 15: View Confirmed Information

[0432] The device decodes the received confirmation information and displays it to the user in a format that is customized according to the user's emotional state.

[0433] Input: Confirmed information.

[0434] Output: The displayed confirmation information.

[0435] (Application example 2)

[0436] 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."

[0437] Conventional travel planning systems have been unable to provide personalized travel suggestions that reflect the user's emotions, and have therefore been unable to sufficiently increase user satisfaction. Furthermore, they lacked a means to provide interactive travel planning within a virtual environment, making it difficult for users to select the optimal travel plan that takes into account their emotions and special needs.

[0438] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0439] In this invention, the server includes means for prompting a user to input travel conditions including travel destination, date, number of people, budget, distance, and means of transportation, means for receiving the conditions and accessing a database to generate a search query, means for searching for accommodations and transportations based on the search query and identifying available options, means for presenting a list of the available options to the user, means for booking the accommodations and transportations selected by the user, means for notifying the user of the results of the booking procedure, means for recognizing the user's emotions and receiving and analyzing emotion data along with the input conditions, means for proposing optimal accommodations and transportations taking the emotion data into consideration, and means for proposing a travel plan in a virtual environment and interactively presenting it to the user. This makes it possible to provide a personalized travel plan based on the user's emotions, realize interactive travel planning in a virtual environment, and improve user travel satisfaction.

[0440] A "user" is a person who inputs travel requirements and whose emotional data is analyzed by the emotion recognition engine.

[0441] "Travel destination, date, number of people, budget, distance, and means of transportation" are the basic conditions a user needs to make a travel plan.

[0442] "Conditions" are information that a user inputs when planning a trip, and include the trip destination, date, number of people, budget, distance, and means of transportation.

[0443] "Database" refers to a collection of data that stores information for searching for the best accommodation and transportation options based on the user's input criteria.

[0444] A "search query" is a query generated based on a user's criteria to retrieve the most suitable accommodation and transportation options from a database.

[0445] "Accommodation" means a place where a traveler stays, including hotels, resorts, and guesthouses.

[0446] "Transportation" refers to the means of transportation to a destination in a travel plan, including airplanes, trains, buses, automobiles, etc.

[0447] "Emotion data" is data that indicates the user's emotional state, obtained by the user's emotion recognition engine.

[0448] An "emotion recognition engine" is software or hardware that analyzes emotions from a user's facial expressions and voice and generates emotion data.

[0449] A "virtual environment" is a digital system that allows users to interactively plan their trips within a virtual reality space.

[0450] "Interactive" means that the user can interact with the system in two ways, providing real-time control and feedback.

[0451] "Artificial intelligence algorithms" are machine learning and data analysis techniques used to select optimal accommodation and transportation options based on user requirements and emotional data.

[0452] "Reservation Process" means the series of actions and procedures to formally reserve the accommodation and transportation selected by the User.

[0453] "Notifications" are messages or alerts that inform the User about the outcome of a booking transaction or other important information.

[0454] This invention combines a system in which a user inputs travel conditions such as destination, date, number of people, budget, distance, and means of transportation, and a server searches for the most suitable accommodation and means of transportation based on these inputs, and even completes the reservation, with an emotion engine that recognizes the user's emotions. Detailed embodiments are described below.

[0455] 1. Input condition reception and emotion recognition

[0456] When a user opens a trip planning application on a device, the device provides a means for inputting travel conditions such as the destination, date, number of people, budget, distance, and mode of transportation. For example, the user can input these conditions by voice input or interactive operation within the VR space. At this time, the camera and microphone of the VR headset (e.g., a general-purpose VR headset) are used to analyze the user's face and voice with an emotion recognition engine (e.g., a general-purpose emotion recognition API) to generate emotion data.

[0457] 2. Analyzing and sending condition and emotion data

[0458] The device sends the entered conditions and emotion data to a server. The server receives this data, accesses a database, and generates a search query. The interactive generative AI model (e.g., a general-purpose artificial intelligence algorithm) used here creates the optimal search query based on the conditions and emotion data, and suggests the best accommodation and transportation options for the user.

[0459] 3. Search and Filter

[0460] The server uses the generated search query to search for suitable accommodations and transportation options from a database. It then filters the options based on the user's emotion data and generates a list of available options. For example, if the user indicates a desire to "relax," the server prioritizes resort hotels and accommodations with quiet surroundings that match that emotion.

[0461] 4. Presentation of results and reservations

[0462] The server encodes the list of available options in JSON format or similar and sends it to the user's device as an HTTP response. The device parses the list and presents it to the user as a 3D display in the VR space. The user can then interactively select options and complete the reservation process. The server again receives the user's selection and calls the reservation system APIs of each accommodation and transportation provider to confirm the reservation.

[0463] 5. Booking completion and notification

[0464] Once the reservation process is complete, the server generates reservation confirmation information and notifies the user's device. The device receives the confirmation information and displays a notification in the VR space, allowing the user to confirm that their emotion-based travel plan has been completed.

[0465] Specific examples

[0466] For example, suppose a user's goal is "relaxation," and they specify the date as "three days from the 10th of the next month," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the mode of transportation as "bus." In this case, the user enters these conditions using their device and sends them to the server. An emotion recognition engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends the information to the server. Based on the received information and emotional data, the server uses a general-purpose AI algorithm to prioritize and search for and provide options for accommodations with a strong healing element and comprehensive relaxation programs. For example, a resort hotel with a spa or a quiet mountain inn might be listed as a candidate.

[0467] Prompt Sentence Examples

[0468] As an example, a prompt sentence to be input to a generative AI model can be created as follows:

[0469] This is a service that allows users to plan trips in a VR space. I would like to develop an application that recognizes the user's emotions, suggests optimal travel plans, and even makes reservations. The input information is the travel destination, date, number of people, budget, and transportation, and emotional data is also taken into consideration. A general-purpose emotion recognition API will be used for emotion recognition, the VR space will be built on a general-purpose development platform, and a general-purpose travel plan search system will be used to search for travel plans. As a specific example, if it is recognized that the user is looking for relaxation, please suggest a quiet resort hotel in the mountains. Please also provide specific code.

[0470] In this way, by providing a personalized travel plan based on the user's emotions, the user's travel satisfaction can be improved.

[0471] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0472] Step 1:

[0473] A user opens a trip planning application on a device. Here, the user inputs travel conditions, including the trip destination, date, number of people, budget, distance, and transportation method, by voice or manually. The input conditions are sent to the server along with emotion data obtained from the user's facial expressions and voice by an emotion recognition engine. The input is the user's conditions and emotion data, and the output is a request including the conditions and emotion data.

[0474] Step 2:

[0475] The server accesses the database based on the conditions and emotion data received from the user and generates a search query. When generating a search query for the database, an artificial intelligence algorithm is used to generate a query that also takes emotion data into consideration. The input is the conditions and emotion data, and the output is the search query.

[0476] Step 3:

[0477] The server uses the generated search query to search a database for accommodation and transportation options, identifying options that include quiet accommodations and relaxation programs that correspond to the user's desire for relaxation based on the user's emotional data. The input is the search query, and the output is a list of available accommodation and transportation options.

[0478] Step 4:

[0479] The server encodes the list of available options in JSON format or similar and sends it to the user's device as an HTTP response. The device then parses the received list and presents it to the user as a 3D display in the VR space. The input is a list of available options, and the output is an interactive display on the user's device.

[0480] Step 5:

[0481] The user selects the desired accommodation and transportation from a list of options presented in the VR space and completes the reservation process. Based on the selected options, the user's selection information is sent from the device to the server. The input is the user's selection, and the output is a request containing the selection information.

[0482] Step 6:

[0483] The server calls the reservation system APIs for each accommodation and transportation method based on the received selection information to complete the reservation process. It generates information indicating that the reservation has been confirmed and notifies the user's device. The input is the selection information, and the output is the reservation confirmation information.

[0484] Step 7:

[0485] The user's device analyzes the reservation confirmation information received from the server and displays a notification in the VR space, allowing the user to confirm that the reservation has been completed. The input is the reservation confirmation information, and the output is the notification display.

[0486] 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.

[0487] 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.

[0488] 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.

[0489] [Second embodiment]

[0490] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0491] 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.

[0492] 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).

[0493] 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.

[0494] 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.

[0495] 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).

[0496] 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.

[0497] 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.

[0498] 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.

[0499] 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.

[0500] 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.

[0501] 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."

[0502] The present invention, the "AI Travel Concierge System for Travel Support Based on Purpose," is a system in which users input travel conditions such as destination, date, number of people, budget, distance, and transportation, and the server searches for and makes reservations for the most suitable accommodations and transportation based on these conditions. This system is equipped with a variety of functions to enable users to easily plan their trips.

[0503] Program processing explanation

[0504] 1. Enter conditions and send

[0505] The user inputs travel conditions using a terminal. Using the system's app, the user inputs information such as the travel destination, date, number of people, budget, distance, and transportation method.

[0506] The terminal sends the entered conditions to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[0507] 2. Receiving and parsing conditions

[0508] The server parses the received conditions, decodes the transmitted data, and extracts the required parameters.

[0509] The server generates a search query based on the required parameters, which is targeted against a database of accommodations and transportation options.

[0510] 3. Finding accommodation and transportation

[0511] The server searches its database for matching accommodation and transportation options, using artificial intelligence algorithms to identify the options that best suit the user's requirements.

[0512] The server filters the search results and generates a list of available options.

[0513] 4. Providing search results

[0514] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0515] The device analyzes the received data and displays a list to the user, who can then select their preferred accommodation and transportation options.

[0516] 5. Booking procedure

[0517] The user selects accommodation and transportation and enters information to proceed with the booking.

[0518] The terminal sends the reservation information selected by the user to the server. The reservation information is encoded in JSON format or similar and sent to the server as an HTTP request.

[0519] Based on the reservation information received by the server, the reservation system API for accommodation and transportation is called and the reservation process is carried out.

[0520] 6. Booking completion and notification

[0521] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[0522] The terminal displays the received confirmation information to the user, notifying him or her that the reservation has been completed.

[0523] Specific examples

[0524] For example, suppose a user sets the purpose as "sightseeing," the date as "3 days from January 10, 2023," the number of people as "4 people," the budget as "60,000 yen per person," the distance as "within 300 km," and the means of transportation as "Shinkansen." In this case, the user enters these conditions using a device and sends them to the server. Based on the received information, the server uses an AI algorithm to search for accommodation and transportation that meet the conditions.

[0525] The search results show a list of five hotels and three guesthouses. The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[0526] In this way, the system allows users to easily and efficiently plan their trips and make reservations for accommodations and transportation all in one place.

[0527] The processing flow will be explained below.

[0528] Step 1:

[0529] The user opens the "Travel Con" app on their device.

[0530] Step 2:

[0531] The user inputs travel conditions including the destination, date, number of people, budget, distance, and mode of transportation.

[0532] Step 3:

[0533] The terminal sends the entered conditions to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[0534] Step 4:

[0535] The server parses the received conditions, decodes the transmitted data, and extracts the required parameters.

[0536] Step 5:

[0537] The server generates a search query based on the required parameters, which is targeted against a database of accommodations and transportation options.

[0538] Step 6:

[0539] The server searches the database to find accommodations and transportation options that meet the criteria.

[0540] Step 7:

[0541] The server uses artificial intelligence algorithms to identify the options that best suit the user's criteria.

[0542] Step 8:

[0543] The server filters the search results and generates a list of available options.

[0544] Step 9:

[0545] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0546] Step 10:

[0547] The device analyzes the received data and displays a list to the user, who can then select the desired accommodation and transportation options from the displayed list.

[0548] Step 11:

[0549] The user selects accommodation and transportation and enters information for booking.

[0550] Step 12:

[0551] The device sends the user's reservation information to the server. The reservation information is encoded in JSON format or similar and sent to the server as an HTTP request.

[0552] Step 13:

[0553] The server receives the reservation information and calls the accommodation and transportation reservation system APIs to complete the reservation process.

[0554] Step 14:

[0555] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[0556] Step 15:

[0557] The terminal receives the confirmation information and displays it to the user, who is notified that the reservation is complete.

[0558] Example 1

[0559] 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."

[0560] Conventional travel planning and reservation systems have the disadvantage of requiring users to individually search for and book accommodations and transportation options, which requires a lot of time and effort. Furthermore, users must use multiple websites and services to find the optimal accommodation and transportation option, which is also cumbersome for users. Furthermore, availability cannot be determined in real time, which increases the risk of a failed reservation. The present invention aims to solve these problems by providing a system that allows users to efficiently plan trips and book optimal accommodations and transportation options in a unified manner.

[0561] 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.

[0562] In this invention, the server includes: means for having a user input travel conditions including travel destination, date, number of people, budget, distance, and means of transportation; means for receiving the conditions and accessing a database to generate a search query; means for searching for accommodations and transportation based on the search query and identifying available options using an artificial intelligence algorithm; means for presenting a list of the available options to the user and displaying it on a user interface; means for calling a reservation system API to complete a reservation procedure for the accommodations and transportation selected by the user; and means for notifying the user of the results of the reservation procedure and displaying it on a user interface. This allows users to easily and quickly plan their trip and make reservations for accommodations and transportation in a unified manner.

[0563] "User" means an individual or entity that utilizes the System to input travel requirements and search for and book accommodations and transportation.

[0564] A "terminal" is a device that allows a user to perform input operations, and includes a smartphone, tablet, PC, etc.

[0565] "Server" means the computer system that receives and analyzes the data sent by the User, generates search queries based on the User's criteria, and searches for and reserves accommodation and transportation.

[0566] "Conditions" are information that a user inputs when making travel plans, and include elements such as destination, date, number of people, budget, distance, and means of transportation.

[0567] "Database" refers to a collection of information storing accommodation and transportation information based on a search query.

[0568] "Search query" means a specific inquiry used by a server to search a database based on criteria entered by a user.

[0569] "Artificial intelligence algorithm" means a computational method, including machine learning models, used to identify the most suitable accommodation and transportation options based on a user's criteria.

[0570] "Options" refers to accommodation and transportation options identified as search results.

[0571] A "user interface" refers to the screens and operating elements displayed on a terminal, providing the means for a user to operate the system.

[0572] "Reservation System API" means the application program interface that the server calls to make reservations for accommodations and transportation.

[0573] "JSON format" refers to a lightweight data exchange format that expresses data in text format and allows for the efficient exchange of structured information.

[0574] "HTTP request" refers to a request message of a communication protocol used to send data from a user's terminal to a server.

[0575] "HTTP response" refers to a response message of a communication protocol used to return data from a server to a user's terminal.

[0576] The present invention, the "Objective-Specific Travel Support AI Travel Concierge System," is a system that allows users to input travel conditions, search for the most suitable accommodations and transportation based on those conditions, and even make reservations in an integrated manner. This system operates around the user, terminals, and server, each of which plays a different role.

[0577] First, the user inputs the travel conditions using a device. The device can be a smartphone, tablet, or PC. The user inputs information such as the travel destination, date, number of people, budget, distance, and means of transportation through a dedicated app or website. These conditions are sent to the server as an HTTP request.

[0578] The server decodes and parses the received JSON data, extracts necessary parameters (destination, date, number of people, etc.), and generates a search query based on that information. This search query targets a database of accommodation and transportation options, and can be an SQL or NoSQL query.

[0579] The server then searches its database for accommodation and transportation options that fit the user's criteria. This process uses artificial intelligence algorithms, specifically machine learning models, to identify the best options for the user. The algorithms refer to historical data and user ratings to select the best options.

[0580] The server filters the search results and generates a list of available options. This list is again encoded in JSON and sent as an HTTP response to the user's device. The device decodes the received data and displays the search results in a user interface. The user can then select their preferred accommodation and transportation options from the displayed list.

[0581] When the user enters reservation information for the selected accommodation and transportation, the device encodes this information in JSON format and sends it to the server. The server then calls the reservation system APIs of the relevant accommodation and transportation providers based on the received reservation information to confirm the actual reservation.

[0582] Finally, the server generates a reservation confirmation and notifies the user's device, which then decodes the information and displays the reservation completion on the user interface, allowing the user to easily and quickly plan their trip.

[0583] Specific examples

[0584] For example, suppose a user enters the following criteria for the purpose of "sightseeing":

[0585] Date: 3 days from January 10, 2023

[0586] Number of people: 4 people

[0587] Budget: 60,000 yen per person

[0588] Distance: Within 300km

[0589] Transportation: Shinkansen

[0590] The user inputs these requirements into a device and sends them to the server, which then uses AI algorithms to search for accommodation and transportation options that meet the requirements.

[0591] The search results show a list of five hotels and three guesthouses. The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[0592] Prompt Sentence Examples

[0593] The following prompts are used to generate a travel plan using a generative AI model:

[0594] I am planning a trip for sightseeing. Please suggest accommodation and transportation that meet the following criteria:

[0595] Date: 3 days from January 10, 2023

[0596] Number of people: 4 people

[0597] Budget: 60,000 yen per person

[0598] Distance: Within 300km

[0599] Transportation: Shinkansen

[0600] Provide your search results as a list of 5 hotels and 3 guesthouses.

[0601] Thus, through the embodiment of the present invention, a user can efficiently and quickly plan and book a trip.

[0602] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0603] Program processing steps

[0604] Step 1:

[0605] The user enters the conditions

[0606] Input: The user enters travel conditions (destination, date, number of people, budget, distance, and means of transportation) into the terminal.

[0607] Data processing: The terminal encodes the entered conditions into JSON format.

[0608] Output: The encoded JSON data is generated.

[0609] Specific action: A user enters information into a form via a dedicated app or website on a smartphone or computer and presses the "Submit" button.

[0610] Step 2:

[0611] The device sends the conditions to the server

[0612] Input: Data in JSON format.

[0613] Data processing: The device creates an HTTP request and sends JSON formatted data to the server.

[0614] Output: The JSON data sent as the HTTP request.

[0615] Specific operation: The device generates an HTTP request based on the user's input and sends the request to the specified server URL.

[0616] Step 3:

[0617] The server receives and analyzes the conditions

[0618] Input: HTTP request and JSON format data sent from the terminal.

[0619] Data processing: The server decodes the data received and extracts the necessary parameters.

[0620] Output: Extracted parameters (destination, date, number of people, etc.).

[0621] Specific operation: The server receives an HTTP request, and the parsing engine decodes the JSON data and extracts the necessary information.

[0622] Step 4:

[0623] The server generates a search query

[0624] Input: The extracted parameters.

[0625] Data processing: The server generates SQL or NoSQL queries for database searches.

[0626] Output: The generated search query.

[0627] What happens: The server generates a specific search query based on the parameters to a database of accommodations and transportation options.

[0628] Step 5:

[0629] The server searches the database

[0630] Input: The generated search query.

[0631] Data processing: The server searches the database to gather matching accommodation and transportation information, applying artificial intelligence algorithms to identify suitable options.

[0632] Output: Search results (accommodation and transportation information).

[0633] What it does: The server queries the database, and the artificial intelligence model filters the best results.

[0634] Step 6:

[0635] The server lists the search results

[0636] Input: Search result information.

[0637] Data processing: The server encodes the search results into JSON format and generates a list of available options.

[0638] Output: A list of results in JSON format.

[0639] Specific behavior: Encode the filtered results and collect them as a list.

[0640] Step 7:

[0641] The device receives and displays the search results.

[0642] Input: A list of results in JSON format sent by the server.

[0643] Data processing: The terminal decodes the JSON data and displays the list in the user interface.

[0644] Output: The result list displayed in the user interface.

[0645] Specific operation: The device parses the received JSON data and displays the result list on the screen.

[0646] Step 8:

[0647] The user proceeds with the booking process

[0648] Input: Accommodation and transportation information selected by the user.

[0649] Data processing: The user enters reservation information, and the device encodes the information into JSON format.

[0650] Output: The encoded reservation information.

[0651] Specific actions: The user selects the desired accommodation and transportation, presses the "Book" button, and enters the required information.

[0652] Step 9:

[0653] The device sends the reservation information to the server.

[0654] Input: Reservation information in JSON format.

[0655] Data processing: The device creates an HTTP request and sends the reservation information to the server.

[0656] Output: Reservation information sent as an HTTP request.

[0657] Specific operation: The terminal generates an HTTP request and sends the reservation information to the server.

[0658] Step 10:

[0659] The server completes the reservation process

[0660] Input: Reservation information.

[0661] Data processing: Based on the reservation information received by the server, the reservation system APIs of accommodation and transportation companies are called to confirm the reservation.

[0662] Output: Confirmed reservation information.

[0663] Specific operation: The server calls the relevant API to complete the reservation procedure.

[0664] Step 11:

[0665] The server notifies the terminal of the confirmed reservation information.

[0666] Input: Confirmation of reservation information.

[0667] Data processing: The server encodes the reservation confirmation information into JSON format and sends it to the terminal as an HTTP response.

[0668] Output: Encoded booking confirmation information.

[0669] Specific operation: The server sends the reservation confirmation information to the terminal as an HTTP response.

[0670] Step 12:

[0671] The terminal displays the reservation confirmation information to the user.

[0672] Input: Confirmed reservation information sent from the server.

[0673] Data processing: The terminal decodes the reservation confirmation information received and displays it on the user interface.

[0674] Output: Booking completion information displayed in the user interface.

[0675] Specific Action: Allows the user to confirm the confirmed information displayed in the user interface.

[0676] (Application example 1)

[0677] 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."

[0678] In today's society, people need fast and efficient travel planning and meal delivery services. However, current systems make it difficult to centrally manage travel and meal planning, and it takes a lot of effort for users to find the best restaurant and delivery options. Furthermore, it is difficult to provide these services on a single platform.

[0679] 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.

[0680] In this invention, the server includes means for allowing a user to input conditions including travel or dining destination, date, number of people, budget, distance, transportation means, or delivery method, means for receiving the conditions and accessing a database to generate a search query, and means for searching accommodations and transportation means or restaurants and delivery options based on the search query and identifying available options, thereby enabling users to centrally manage their travel and dining plans and efficiently find optimal options.

[0681] "User" refers to a person who uses this system to plan trips and meals.

[0682] "Travel" refers to travel, including accommodation and transportation, to reach a destination and for a specified period of time.

[0683] "Dining" refers to the act of consuming food and beverages served at a restaurant or eating establishment.

[0684] "Conditions" refers to information entered by a user including travel or dining destination, date, number of people, budget, distance, transportation means or delivery method.

[0685] "Database" refers to a system that stores information about accommodation, transportation, restaurants and delivery options.

[0686] "Search query" refers to instructions generated to search a database based on user-entered criteria.

[0687] "Accommodation" refers to a facility that provides a place for users to stay for a specified period of time.

[0688] "Transportation" refers to the vehicle or means used by a user to travel to a destination.

[0689] "Restaurant" means a place for serving food.

[0690] "Delivery options" refers to the means or methods by which meals are delivered to a location and time specified by the user.

[0691] "Artificial intelligence algorithms" refer to computational methods used to identify the best accommodation, transportation, restaurant and delivery options based on your criteria.

[0692] "Reservation Process" means the process by which a User confirms the availability of their selected accommodation, transportation, restaurant and delivery options.

[0693] "Notification" refers to the act of informing a user of the results of a reservation procedure or other important information.

[0694] MODE FOR CARRYING OUT THE INVENTION

[0695] The present invention is a system that allows users to centrally plan their travel and dining plans. This system can be implemented using devices such as smartphones, tablets, and PCs. Specifically, the system allows users to input travel or dining requirements, and based on those requirements, it suggests optimal accommodations, transportation, restaurants, and delivery options, and allows users to make reservations and orders.

[0696] System Program

[0697] The system mainly consists of the following components:

[0698] User device: A device that can connect to the internet, such as a smartphone or tablet.

[0699] Server: A device that uses databases and AI algorithms to search, suggest, and reserve the best options based on the user's criteria.

[0700] Database: A system that stores information about accommodation, transportation, restaurants, and delivery options.

[0701] Program processing

[0702] 1. User inputs conditions

[0703] The user inputs travel or dining requirements (destination, date, number of people, budget, distance, transportation or delivery method) using a terminal. These requirements are sent to the server in JSON format.

[0704] 2. Data Reception and Analysis

[0705] The server receives the conditions sent from the device and analyzes the data. Specifically, it decodes the JSON format data and extracts the necessary parameters.

[0706] 3. Generating search queries

[0707] The server generates a search query based on the extracted parameters, the search query covering accommodation, transportation, restaurant and delivery options in the database.

[0708] 4. Searching and filtering options

[0709] The server uses artificial intelligence algorithms to search the database and identify available options that match your criteria, using AI frameworks like TensorFlow and PyTorch to suggest the best options.

[0710] 5. Providing search results

[0711] The server encodes the search results in JSON format and sends them to the user's device as an HTTP response, where the user can select the desired option from the displayed list.

[0712] 6. Reservation and Order Process

[0713] Based on the options selected by the user, the device sends reservation and ordering information back to the server, which then uses this information to process reservations for the accommodations, transportation, restaurants, and delivery options.

[0714] 7. Booking completion and notification

[0715] The server generates reservation confirmation information and notifies the user's terminal, which displays this information and notifies the user that the reservation has been completed.

[0716] Specific examples

[0717] For example, suppose a user requests "Italian" dinner for three people on "October 15, 2023, 7:00 PM," with a budget of 3,000 yen per person, and selects delivery by car. In this case, the user enters these conditions using their device and sends them to the server. Based on the received information, the server uses an AI algorithm to search for restaurants and delivery options that meet the conditions. Appropriate candidates are displayed as search results, and the user selects the desired restaurant from the list and taps the "Book Now" button. This operation causes the server to call the restaurant's reservation system API to confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[0718] Prompt Sentence Examples

[0719] The user is looking for dinner at an Italian restaurant for three people at 7:00 PM on October 15, 2023, with a budget of 3,000 yen per person. The user also wants delivery by car.

[0720] In this way, a system can be realized that allows users to easily and efficiently manage travel and meal plans in one place.

[0721] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0722] Step 1:

[0723] Conditions entered by the user

[0724] The user uses the terminal to input the travel or dining destination, date, number of people, budget, distance, transportation method or delivery method. The input conditions are encoded in JSON format. This enables searches based on the conditions. Input data: destination, date, number of people, budget, distance, transportation method or delivery method. Output data: condition data in JSON format.

[0725] Step 2:

[0726] Conditional reception and analysis by the server

[0727] The server receives the JSON formatted condition data sent by the device. The server decodes this data and extracts the necessary parameters. This generates a search query based on the user's requirements. Input data: JSON formatted condition data. Output data: Extracted parameters.

[0728] Step 3:

[0729] Server-generated search queries

[0730] The server uses the extracted parameters to generate a search query for accommodation, transportation, restaurants and delivery options, ready to query the database. Input data: extracted parameters. Output data: search query.

[0731] Step 4:

[0732] Server-based option search and determination

[0733] The server uses the generated search query to search its database. It uses artificial intelligence algorithms to identify the accommodation, transportation, restaurant and delivery options that best fit the user's criteria. AI frameworks such as TensorFlow and PyTorch are used here. The search results are filtered to select the best options. Input data: search query. Output data: list of options that match the criteria.

[0734] Step 5:

[0735] Server provides search results

[0736] The server encodes the option list that matches the conditions into JSON format and sends it to the user's device as an HTTP response, allowing the user to confirm the options. Input data: Option list that matches the conditions. Output data: Option list in JSON format.

[0737] Step 6:

[0738] User selects an option

[0739] The user selects the desired accommodation, transportation, restaurant, and delivery options from the option list displayed on the terminal. The selected options are again encoded in JSON format and sent to the server. Input data: Options selected by the user. Output data: Reservation information in JSON format.

[0740] Step 7:

[0741] Server executes reservation procedure

[0742] The server processes the reservation for each accommodation, transportation, restaurant, and delivery option based on the received reservation information. This includes calling external APIs. Once the reservation is confirmed, the server generates the reservation result. Input data: Reservation information in JSON format. Output data: Reservation result.

[0743] Step 8:

[0744] Server notification of reservation completion

[0745] The server generates a notification indicating that the reservation has been completed and sends it to the user's device. The device receives this information and notifies the user that the reservation has been confirmed. Input data: Reservation result. Output data: Reservation completion notification.

[0746] 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.

[0747] The present invention combines a system in which a user inputs travel conditions such as destination, date, number of people, budget, distance, and transportation, and a server searches for the most suitable accommodation and transportation based on these conditions, and even makes reservations, with an emotion engine that recognizes the user's emotions. This makes it possible to make travel suggestions according to the user's emotional state, improving travel satisfaction.

[0748] Program processing explanation

[0749] 1. Enter conditions and send

[0750] When a user opens the "Tabikon" app on their device, an emotion engine runs in the background to recognize the user's emotional state from their facial expressions and voice.

[0751] The user inputs travel conditions, including the destination, date, number of people, budget, distance, and means of transportation, and the device transmits these conditions along with emotion data to the server.

[0752] 2. Receiving and parsing conditions

[0753] The server analyzes the received condition and emotion data, decodes the data entered by the user, and extracts the necessary parameters and emotion data.

[0754] The server generates a search query based on the required parameters, which also takes emotion data into account.

[0755] 3. Finding accommodation and transportation

[0756] The server searches its database to find accommodation and transportation options that match the user's requirements and emotions, using artificial intelligence algorithms to identify the best options based on the user's emotional state.

[0757] The server filters the search results and generates a list of available options.

[0758] 4. Providing search results

[0759] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0760] The device analyzes the received data and displays a list to the user, which reflects the user's emotions.

[0761] 5. Booking procedure

[0762] The user selects accommodation and transportation and enters information for reservation, which the terminal then sends to the server.

[0763] Based on the reservation information received by the server, the reservation system APIs for accommodation and transportation are called to complete the reservation process.

[0764] 6. Booking completion and notification

[0765] The server generates the reservation confirmation information and notifies the user's device. The display format may also be customized based on the user's emotions.

[0766] The terminal receives the confirmation information and displays it to the user, who is notified that the reservation is complete.

[0767] Specific examples

[0768] For example, suppose a user's goal is "relaxation," and they set the date as "three days from January 10, 2023," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the means of transportation as "bus." In this case, the user enters these conditions using their device and sends them to the server. The emotion engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends it to the server.

[0769] Based on the received information and emotional data, the server uses an AI algorithm to prioritize and provide options with a strong healing element and comprehensive relaxation programs, such as a resort hotel with a spa or a quiet mountain lodge.

[0770] The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device, completing a travel plan that perfectly suits their desire to relax.

[0771] In this way, users can easily and efficiently plan their trips and book accommodations and transportation all in one place, and the system can improve their travel satisfaction through personalized suggestions provided by the emotion engine.

[0772] The processing flow will be explained below.

[0773] Step 1:

[0774] When a user opens the Tabikon app on their device, an emotion engine that analyzes the user's facial expressions and voice runs in the background.

[0775] Step 2:

[0776] The user inputs travel conditions, including the destination, date, number of people, budget, distance, and mode of transportation. The device collects emotional data (e.g., stress and happiness) in parallel with the user's input of conditions.

[0777] Step 3:

[0778] The device sends the input conditions and emotion data to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[0779] Step 4:

[0780] The server analyzes the received condition and emotion data, and extracts the necessary parameters and emotion information from the decoded data.

[0781] Step 5:

[0782] The server generates a search query based on the required parameters, taking into account sentiment data as well, for example prioritizing accommodations with relaxation features for a stressed user.

[0783] Step 6:

[0784] The server searches its database to find accommodations and transportation options that match the user's criteria and emotions, using artificial intelligence algorithms to identify the options that best suit the user's emotional state.

[0785] Step 7:

[0786] The server filters the search results to generate a list of available options, ranking the recommendations according to the user's emotional state.

[0787] Step 8:

[0788] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0789] Step 9:

[0790] The device analyzes the received data and displays a list to the user, which takes into consideration the user's emotions (e.g., if you need to relax, hotels with spas will be displayed first).

[0791] Step 10:

[0792] The user selects accommodation and transportation and enters the information for reservation. The terminal sends the reservation information to the server.

[0793] Step 11:

[0794] The server receives the reservation information and calls the accommodation and transportation reservation system APIs to complete the reservation process.

[0795] Step 12:

[0796] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[0797] Step 13:

[0798] The device receives the confirmation and displays it to the user, who is notified that the reservation has been completed. The content of the notification may also be customized to take into account the user's emotional state.

[0799] Example 2

[0800] 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."

[0801] Conventional travel reservation systems simply search for and display accommodations and transportation options based on user input, making it difficult to provide personalized suggestions based on the user's emotional state and improving travel satisfaction. Furthermore, there is no way to aggregate real-time updates from multiple accommodations and transportation options, which reduces the reliability of reservations.

[0802] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for recognizing emotion data from the user's facial expression or voice, means for receiving the conditions and emotion data and accessing a database to generate a search query, and means for aggregating availability information from multiple accommodations and transportation modes and updating it in real time. This enables personalized suggestions based on the user's emotional state, improving travel satisfaction and further increasing the reliability of reservations.

[0803] "User" refers to a person who inputs travel conditions and emotional data and selects accommodation and transportation.

[0804] "Conditions" refers to information such as the travel destination, date, number of people, budget, distance, and means of transportation entered by the user.

[0805] "Emotion data" refers to the emotional state recognized by analyzing the user's facial expressions and voice.

[0806] "Server" refers to a device that receives user-entered criteria and emotion data, generates search queries, searches for accommodations and transportation options, and manages the reservation process.

[0807] "Database" refers to a collection of data containing information about accommodation and transportation options.

[0808] A "search query" refers to a search query generated based on a user's criteria and emotion data.

[0809] "Accommodation facilities" refers to facilities such as hotels, inns, and guesthouses where users can stay.

[0810] "Transportation" refers to the means of transportation used by the user when traveling, including trains, buses, airplanes, etc.

[0811] "List" refers to a list of accommodations and transportation options presented to a user as a search result.

[0812] "Reservation procedure" refers to the series of processes for actually booking the accommodation and transportation selected by the user.

[0813] "Notification" refers to information that informs the user of the results of the reservation procedure.

[0814] "Artificial Intelligence Algorithm" refers to the algorithm used by the Server to identify the most suitable accommodation and transportation options based on the User's requirements and emotional data.

[0815] The present invention is a system that combines an emotion engine that recognizes the user's emotions with a system in which a user inputs travel requirements, a server searches for the most suitable accommodations and transportation options based on those requirements, and even allows the user to make reservations. This makes it possible to make travel suggestions that correspond to the user's emotional state, improving travel satisfaction.

[0816] System configuration

[0817] The system includes the following hardware and software:

[0818] User device: smartphone, tablet, or computer

[0819] Server: Cloud server, database server

[0820] Emotion engine: facial expression recognition software, voice analysis software

[0821] AI algorithms: algorithms for generating search queries and determining the best accommodation and transportation options

[0822] Program processing explanation

[0823] The user launches the "Tabikon" app using a device (smartphone, tablet, PC, etc.). The device's built-in camera and microphone automatically activate, and the emotion engine recognizes the user's facial expressions and voice. The user then enters the travel destination, date, number of people, budget, distance, and mode of transportation on the app's interface. The device encodes these input conditions and emotion data in JSON format and sends it to the server via the HTTP protocol.

[0824] The server decodes the received data and extracts travel conditions and emotion data. Based on the extracted data, it generates a query to search for accommodation and transportation options, and the search query also takes emotion data into account. The server searches a database to find suitable accommodation and transportation options based on the user's input conditions and emotion state. It filters the search results and generates a list of available options.

[0825] The server again encodes the generated list in JSON format and sends it to the user's device as an HTTP response. The device analyzes the received data and displays the list to the user. The user selects the desired accommodation and transportation method from the displayed list and enters the reservation information on the device. The device again sends the reservation information to the server, and the server calls the accommodation and transportation reservation system APIs based on the received reservation information to complete the reservation process. Finally, the server generates confirmed reservation information and sends it to the user's device. The device displays the received confirmed information to the user.

[0826] Specific examples

[0827] For example, suppose a user's goal is "relaxation," and they set the date as "three days from January 10, 2023," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the means of transportation as "bus." The user enters these conditions using their device and sends them to the server. At the same time, the emotion engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends that data to the server.

[0828] Based on the received information and emotional data, the server uses an AI algorithm to search and provide options that prioritize soothing accommodations and those with comprehensive relaxation programs. For example, a resort hotel with a spa or a quiet mountain lodge may be listed as options. The user selects the desired accommodation from this list and proceeds with the reservation process. Finally, a notification is displayed on the user's device indicating that the reservation has been completed.

[0829] Example prompt for a generative AI model:

[0830] Please provide a trip proposal that meets the following criteria. Please be specific and include a detailed itinerary:

[0831] Destination: Hot spring resort

[0832] Date: May 1st to 4th, 2023

[0833] Number of people: 2 people

[0834] Budget: 60,000 yen per person

[0835] Distance: Within 300km

[0836] Transportation: train

[0837] Also, users have the emotion of wanting to relax. Please suggest travel plans that correspond to their emotions.

[0838] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0839] Step 1: Launch the app

[0840] When the user launches the Tabikon app on their device, the device's camera and microphone are automatically activated and the emotion engine begins running in the background.

[0841] Input: The user launches the app.

[0842] Output: The camera and microphone are activated and the emotion engine begins to operate.

[0843] Step 2: Enter conditions

[0844] The user enters the travel destination, date, number of people, budget, distance, and transportation method on the app interface. For example, "Destination: Kyoto," "Date: May 1st to 3 days, 2023," and "Number of people: 2."

[0845] Input: The user enters the travel conditions (destination, date, number of people, budget, distance, and means of transportation).

[0846] Output: The input condition data.

[0847] Step 3: Recognize and transmit emotion data

[0848] The device uses a camera and microphone to analyze the user's facial expressions and voice, recognizing emotional data. The emotion engine then identifies the user's emotional state, such as "I want to relax" or "I'm excited."

[0849] Input: User's facial and voice data.

[0850] Output: Recognized emotion data.

[0851] Step 4: Sending data

[0852] The terminal encodes the input condition data and emotion data in JSON format and sends it to the server via the HTTP protocol.

[0853] Input: Condition data and emotion data.

[0854] Output: Data encoded in JSON format.

[0855] Step 5: Receiving and analyzing data

[0856] The server decodes the received data and extracts the condition data and emotion data.

[0857] Input: Data encoded in JSON format.

[0858] Output: Condition data and emotion data.

[0859] Step 6: Generating a search query

[0860] The server generates a search query based on the condition data and emotion data. For example, if the user's emotional state is "I want to relax," a query reflecting that emotion is generated.

[0861] Input: Condition data and emotion data.

[0862] Output: The search query.

[0863] Step 7: Search the database

[0864] The server searches its database for accommodation and transportation options that match the user's criteria and sentiment, using AI algorithms to identify the best options.

[0865] Input: Search query.

[0866] Output: Search result data.

[0867] Step 8: Filtering the results and generating a list

[0868] The server filters the search results to generate a list of available options that reflects the user's emotional state.

[0869] Input: Search result data.

[0870] Output: A list of available options.

[0871] Step 9: Submit the list

[0872] The server encodes the generated list in JSON format and sends it to the user's device as an HTTP response.

[0873] Input: A list of available options.

[0874] Output: List data encoded in JSON format.

[0875] Step 10: View the list

[0876] The device decodes the received data and displays a list to the user, which reflects the user's emotional state.

[0877] Input: List data encoded in JSON format.

[0878] Output: The displayed list.

[0879] Step 11: Select your booking options

[0880] The user selects accommodation and transportation from the displayed list and enters the information for booking. For example, the user selects "a hotel with a relaxing spa."

[0881] Input: User selection and reservation information.

[0882] Output: Selected accommodation and transportation data.

[0883] Step 12: Submit reservation information

[0884] The terminal encodes the reservation information entered by the user in JSON format and sends it to the server via the HTTP protocol.

[0885] Input: Reservation information.

[0886] Output: Reservation data encoded in JSON format.

[0887] Step 13: Call the booking system API

[0888] Based on the reservation information received by the server, the reservation system APIs for accommodation and transportation are called to complete the reservation process.

[0889] Input: Reservation data encoded in JSON format.

[0890] Output: Confirmed reservation data.

[0891] Step 14: Generate and notify booking confirmation

[0892] The server generates a confirmation of the reservation and sends it to the user's device, including the reservation details and a confirmation number.

[0893] Input: Confirmed reservation data.

[0894] Output: Confirmed information for notification.

[0895] Step 15: View Confirmed Information

[0896] The device decodes the received confirmation information and displays it to the user in a format that is customized according to the user's emotional state.

[0897] Input: Confirmed information.

[0898] Output: The displayed confirmation information.

[0899] (Application example 2)

[0900] 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."

[0901] Conventional travel planning systems have been unable to provide personalized travel suggestions that reflect the user's emotions, and have therefore been unable to sufficiently increase user satisfaction. Furthermore, they lacked a means to provide interactive travel planning within a virtual environment, making it difficult for users to select the optimal travel plan that takes into account their emotions and special needs.

[0902] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0903] In this invention, the server includes means for prompting a user to input travel conditions including travel destination, date, number of people, budget, distance, and means of transportation, means for receiving the conditions and accessing a database to generate a search query, means for searching for accommodations and transportations based on the search query and identifying available options, means for presenting a list of the available options to the user, means for booking the accommodations and transportations selected by the user, means for notifying the user of the results of the booking procedure, means for recognizing the user's emotions and receiving and analyzing emotion data along with the input conditions, means for proposing optimal accommodations and transportations taking the emotion data into consideration, and means for proposing a travel plan in a virtual environment and interactively presenting it to the user. This makes it possible to provide a personalized travel plan based on the user's emotions, realize interactive travel planning in a virtual environment, and improve user travel satisfaction.

[0904] A "user" is a person who inputs travel requirements and whose emotional data is analyzed by the emotion recognition engine.

[0905] "Travel destination, date, number of people, budget, distance, and means of transportation" are the basic conditions a user needs to make a travel plan.

[0906] "Conditions" are information that a user inputs when planning a trip, and include the trip destination, date, number of people, budget, distance, and means of transportation.

[0907] "Database" refers to a collection of data that stores information for searching for the best accommodation and transportation options based on the user's input criteria.

[0908] A "search query" is a query generated based on a user's criteria to retrieve the most suitable accommodation and transportation options from a database.

[0909] "Accommodation" means a place where a traveler stays, including hotels, resorts, and guesthouses.

[0910] "Transportation" refers to the means of transportation to a destination in a travel plan, including airplanes, trains, buses, automobiles, etc.

[0911] "Emotion data" is data that indicates the user's emotional state, obtained by the user's emotion recognition engine.

[0912] An "emotion recognition engine" is software or hardware that analyzes emotions from a user's facial expressions and voice and generates emotion data.

[0913] A "virtual environment" is a digital system that allows users to interactively plan their trips within a virtual reality space.

[0914] "Interactive" means that the user can interact with the system in two ways, providing real-time control and feedback.

[0915] "Artificial intelligence algorithms" are machine learning and data analysis techniques used to select optimal accommodation and transportation options based on user requirements and emotional data.

[0916] "Reservation Process" means the series of actions and procedures to formally reserve the accommodation and transportation selected by the User.

[0917] "Notifications" are messages or alerts that inform the User about the outcome of a booking transaction or other important information.

[0918] This invention combines a system in which a user inputs travel conditions such as destination, date, number of people, budget, distance, and means of transportation, and a server searches for the most suitable accommodation and means of transportation based on these inputs, and even completes the reservation, with an emotion engine that recognizes the user's emotions. Detailed embodiments are described below.

[0919] 1. Input condition reception and emotion recognition

[0920] When a user opens a trip planning application on a device, the device provides a means for inputting travel conditions such as the destination, date, number of people, budget, distance, and mode of transportation. For example, the user can input these conditions by voice input or interactive operation within the VR space. At this time, the camera and microphone of the VR headset (e.g., a general-purpose VR headset) are used to analyze the user's face and voice with an emotion recognition engine (e.g., a general-purpose emotion recognition API) to generate emotion data.

[0921] 2. Analyzing and sending condition and emotion data

[0922] The device sends the entered conditions and emotion data to a server. The server receives this data, accesses a database, and generates a search query. The interactive generative AI model (e.g., a general-purpose artificial intelligence algorithm) used here creates the optimal search query based on the conditions and emotion data, and suggests the best accommodation and transportation options for the user.

[0923] 3. Search and Filter

[0924] The server uses the generated search query to search for suitable accommodations and transportation options from a database. It then filters the options based on the user's emotion data and generates a list of available options. For example, if the user indicates a desire to "relax," the server prioritizes resort hotels and accommodations with quiet surroundings that match that emotion.

[0925] 4. Presentation of results and reservations

[0926] The server encodes the list of available options in JSON format or similar and sends it to the user's device as an HTTP response. The device parses the list and presents it to the user as a 3D display in the VR space. The user can then interactively select options and complete the reservation process. The server again receives the user's selection and calls the reservation system APIs of each accommodation and transportation provider to confirm the reservation.

[0927] 5. Booking completion and notification

[0928] Once the reservation process is complete, the server generates reservation confirmation information and notifies the user's device. The device receives the confirmation information and displays a notification in the VR space, allowing the user to confirm that their emotion-based travel plan has been completed.

[0929] Specific examples

[0930] For example, suppose a user's goal is "relaxation," and they specify the date as "three days from the 10th of the next month," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the mode of transportation as "bus." In this case, the user enters these conditions using their device and sends them to the server. An emotion recognition engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends the information to the server. Based on the received information and emotional data, the server uses a general-purpose AI algorithm to prioritize and search for and provide options for accommodations with a strong healing element and comprehensive relaxation programs. For example, a resort hotel with a spa or a quiet mountain inn might be listed as a candidate.

[0931] Prompt Sentence Examples

[0932] As an example, a prompt sentence to be input to a generative AI model can be created as follows:

[0933] This is a service that allows users to plan trips in a VR space. I would like to develop an application that recognizes the user's emotions, suggests optimal travel plans, and even makes reservations. The input information is the travel destination, date, number of people, budget, and transportation, and emotional data is also taken into consideration. A general-purpose emotion recognition API will be used for emotion recognition, the VR space will be built on a general-purpose development platform, and a general-purpose travel plan search system will be used to search for travel plans. As a specific example, if it is recognized that the user is looking for relaxation, please suggest a quiet resort hotel in the mountains. Please also provide specific code.

[0934] In this way, by providing a personalized travel plan based on the user's emotions, the user's travel satisfaction can be improved.

[0935] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0936] Step 1:

[0937] A user opens a trip planning application on a device. Here, the user inputs travel conditions, including the trip destination, date, number of people, budget, distance, and transportation method, by voice or manually. The input conditions are sent to the server along with emotion data obtained from the user's facial expressions and voice by an emotion recognition engine. The input is the user's conditions and emotion data, and the output is a request including the conditions and emotion data.

[0938] Step 2:

[0939] The server accesses the database based on the conditions and emotion data received from the user and generates a search query. When generating a search query for the database, an artificial intelligence algorithm is used to generate a query that also takes emotion data into consideration. The input is the conditions and emotion data, and the output is the search query.

[0940] Step 3:

[0941] The server uses the generated search query to search a database for accommodation and transportation options, identifying options that include quiet accommodations and relaxation programs that correspond to the user's desire for relaxation based on the user's emotional data. The input is the search query, and the output is a list of available accommodation and transportation options.

[0942] Step 4:

[0943] The server encodes the list of available options in JSON format or similar and sends it to the user's device as an HTTP response. The device then parses the received list and presents it to the user as a 3D display in the VR space. The input is a list of available options, and the output is an interactive display on the user's device.

[0944] Step 5:

[0945] The user selects the desired accommodation and transportation from a list of options presented in the VR space and completes the reservation process. Based on the selected options, the user's selection information is sent from the device to the server. The input is the user's selection, and the output is a request containing the selection information.

[0946] Step 6:

[0947] The server calls the reservation system APIs for each accommodation and transportation method based on the received selection information to complete the reservation process. It generates information indicating that the reservation has been confirmed and notifies the user's device. The input is the selection information, and the output is the reservation confirmation information.

[0948] Step 7:

[0949] The user's device analyzes the reservation confirmation information received from the server and displays a notification in the VR space, allowing the user to confirm that the reservation has been completed. The input is the reservation confirmation information, and the output is the notification display.

[0950] 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.

[0951] 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.

[0952] 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.

[0953] [Third embodiment]

[0954] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0955] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0956] 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).

[0957] 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.

[0958] 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.

[0959] 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).

[0960] 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.

[0961] 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.

[0962] 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.

[0963] 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.

[0964] 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.

[0965] 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."

[0966] The present invention, the "AI Travel Concierge System for Travel Support Based on Purpose," is a system in which users input travel conditions such as destination, date, number of people, budget, distance, and transportation, and the server searches for and makes reservations for the most suitable accommodations and transportation based on these conditions. This system is equipped with a variety of functions to enable users to easily plan their trips.

[0967] Program processing explanation

[0968] 1. Enter conditions and send

[0969] The user inputs travel conditions using a terminal. Using the system's app, the user inputs information such as the travel destination, date, number of people, budget, distance, and transportation method.

[0970] The terminal sends the entered conditions to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[0971] 2. Receiving and parsing conditions

[0972] The server parses the received conditions, decodes the transmitted data, and extracts the required parameters.

[0973] The server generates a search query based on the required parameters, which is targeted against a database of accommodations and transportation options.

[0974] 3. Finding accommodation and transportation

[0975] The server searches its database for matching accommodation and transportation options, using artificial intelligence algorithms to identify the options that best suit the user's requirements.

[0976] The server filters the search results and generates a list of available options.

[0977] 4. Providing search results

[0978] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[0979] The device analyzes the received data and displays a list to the user, who can then select their preferred accommodation and transportation options.

[0980] 5. Booking procedure

[0981] The user selects accommodation and transportation and enters information to proceed with the booking.

[0982] The terminal sends the reservation information selected by the user to the server. The reservation information is encoded in JSON format or similar and sent to the server as an HTTP request.

[0983] Based on the reservation information received by the server, the reservation system API for accommodation and transportation is called and the reservation process is carried out.

[0984] 6. Booking completion and notification

[0985] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[0986] The terminal displays the received confirmation information to the user, notifying him or her that the reservation has been completed.

[0987] Specific examples

[0988] For example, suppose a user sets the purpose as "sightseeing," the date as "3 days from January 10, 2023," the number of people as "4 people," the budget as "60,000 yen per person," the distance as "within 300 km," and the means of transportation as "Shinkansen." In this case, the user enters these conditions using a device and sends them to the server. Based on the received information, the server uses an AI algorithm to search for accommodation and transportation that meet the conditions.

[0989] The search results show a list of five hotels and three guesthouses. The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[0990] In this way, the system allows users to easily and efficiently plan their trips and make reservations for accommodations and transportation all in one place.

[0991] The processing flow will be explained below.

[0992] Step 1:

[0993] The user opens the "Travel Con" app on their device.

[0994] Step 2:

[0995] The user inputs travel conditions including the destination, date, number of people, budget, distance, and mode of transportation.

[0996] Step 3:

[0997] The terminal sends the entered conditions to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[0998] Step 4:

[0999] The server parses the received conditions, decodes the transmitted data, and extracts the required parameters.

[1000] Step 5:

[1001] The server generates a search query based on the required parameters, which is targeted against a database of accommodations and transportation options.

[1002] Step 6:

[1003] The server searches the database to find accommodations and transportation options that meet the criteria.

[1004] Step 7:

[1005] The server uses artificial intelligence algorithms to identify the options that best suit the user's criteria.

[1006] Step 8:

[1007] The server filters the search results and generates a list of available options.

[1008] Step 9:

[1009] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[1010] Step 10:

[1011] The device analyzes the received data and displays a list to the user, who can then select the desired accommodation and transportation options from the displayed list.

[1012] Step 11:

[1013] The user selects accommodation and transportation and enters information for booking.

[1014] Step 12:

[1015] The device sends the user's reservation information to the server. The reservation information is encoded in JSON format or similar and sent to the server as an HTTP request.

[1016] Step 13:

[1017] The server receives the reservation information and calls the accommodation and transportation reservation system APIs to complete the reservation process.

[1018] Step 14:

[1019] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[1020] Step 15:

[1021] The terminal receives the confirmation information and displays it to the user, who is notified that the reservation is complete.

[1022] Example 1

[1023] 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."

[1024] Conventional travel planning and reservation systems have the disadvantage of requiring users to individually search for and book accommodations and transportation options, which requires a lot of time and effort. Furthermore, users must use multiple websites and services to find the optimal accommodation and transportation option, which is also cumbersome for users. Furthermore, availability cannot be determined in real time, which increases the risk of a failed reservation. The present invention aims to solve these problems by providing a system that allows users to efficiently plan trips and book optimal accommodations and transportation options in a unified manner.

[1025] 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.

[1026] In this invention, the server includes: means for having a user input travel conditions including travel destination, date, number of people, budget, distance, and means of transportation; means for receiving the conditions and accessing a database to generate a search query; means for searching for accommodations and transportation based on the search query and identifying available options using an artificial intelligence algorithm; means for presenting a list of the available options to the user and displaying it on a user interface; means for calling a reservation system API to complete a reservation procedure for the accommodations and transportation selected by the user; and means for notifying the user of the results of the reservation procedure and displaying it on a user interface. This allows users to easily and quickly plan their trip and make reservations for accommodations and transportation in a unified manner.

[1027] "User" means an individual or entity that utilizes the System to input travel requirements and search for and book accommodations and transportation.

[1028] A "terminal" is a device that allows a user to perform input operations, and includes a smartphone, tablet, PC, etc.

[1029] "Server" means the computer system that receives and analyzes the data sent by the User, generates search queries based on the User's criteria, and searches for and reserves accommodation and transportation.

[1030] "Conditions" are information that a user inputs when making travel plans, and include elements such as destination, date, number of people, budget, distance, and means of transportation.

[1031] "Database" refers to a collection of information storing accommodation and transportation information based on a search query.

[1032] "Search query" means a specific inquiry used by a server to search a database based on criteria entered by a user.

[1033] "Artificial intelligence algorithm" means a computational method, including machine learning models, used to identify the most suitable accommodation and transportation options based on a user's criteria.

[1034] "Options" refers to accommodation and transportation options identified as search results.

[1035] A "user interface" refers to the screens and operating elements displayed on a terminal, providing the means for a user to operate the system.

[1036] "Reservation System API" means the application program interface that the server calls to make reservations for accommodations and transportation.

[1037] "JSON format" refers to a lightweight data exchange format that expresses data in text format and allows for the efficient exchange of structured information.

[1038] "HTTP request" refers to a request message of a communication protocol used to send data from a user's terminal to a server.

[1039] "HTTP response" refers to a response message of a communication protocol used to return data from a server to a user's terminal.

[1040] The present invention, the "Objective-Specific Travel Support AI Travel Concierge System," is a system that allows users to input travel conditions, search for the most suitable accommodations and transportation based on those conditions, and even make reservations in an integrated manner. This system operates around the user, terminals, and server, each of which plays a different role.

[1041] First, the user inputs the travel conditions using a device. The device can be a smartphone, tablet, or PC. The user inputs information such as the travel destination, date, number of people, budget, distance, and means of transportation through a dedicated app or website. These conditions are sent to the server as an HTTP request.

[1042] The server decodes and parses the received JSON data, extracts necessary parameters (destination, date, number of people, etc.), and generates a search query based on that information. This search query targets a database of accommodation and transportation options, and can be an SQL or NoSQL query.

[1043] The server then searches its database for accommodation and transportation options that fit the user's criteria. This process uses artificial intelligence algorithms, specifically machine learning models, to identify the best options for the user. The algorithms refer to historical data and user ratings to select the best options.

[1044] The server filters the search results and generates a list of available options. This list is again encoded in JSON and sent as an HTTP response to the user's device. The device decodes the received data and displays the search results in a user interface. The user can then select their preferred accommodation and transportation options from the displayed list.

[1045] When the user enters reservation information for the selected accommodation and transportation, the device encodes this information in JSON format and sends it to the server. The server then calls the reservation system APIs of the relevant accommodation and transportation providers based on the received reservation information to confirm the actual reservation.

[1046] Finally, the server generates a reservation confirmation and notifies the user's device, which then decodes the information and displays the reservation completion on the user interface, allowing the user to easily and quickly plan their trip.

[1047] Specific examples

[1048] For example, suppose a user enters the following criteria for the purpose of "sightseeing":

[1049] Date: 3 days from January 10, 2023

[1050] Number of people: 4 people

[1051] Budget: 60,000 yen per person

[1052] Distance: Within 300km

[1053] Transportation: Shinkansen

[1054] The user inputs these requirements into a device and sends them to the server, which then uses AI algorithms to search for accommodation and transportation options that meet the requirements.

[1055] The search results show a list of five hotels and three guesthouses. The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[1056] Prompt Sentence Examples

[1057] The following prompts are used to generate a travel plan using a generative AI model:

[1058] I am planning a trip for sightseeing. Please suggest accommodation and transportation that meet the following criteria:

[1059] Date: 3 days from January 10, 2023

[1060] Number of people: 4 people

[1061] Budget: 60,000 yen per person

[1062] Distance: Within 300km

[1063] Transportation: Shinkansen

[1064] Provide your search results as a list of 5 hotels and 3 guesthouses.

[1065] Thus, through the embodiment of the present invention, a user can efficiently and quickly plan and book a trip.

[1066] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1067] Program processing steps

[1068] Step 1:

[1069] The user enters the conditions

[1070] Input: The user enters travel conditions (destination, date, number of people, budget, distance, and means of transportation) into the terminal.

[1071] Data processing: The terminal encodes the entered conditions into JSON format.

[1072] Output: The encoded JSON data is generated.

[1073] Specific action: A user enters information into a form via a dedicated app or website on a smartphone or computer and presses the "Submit" button.

[1074] Step 2:

[1075] The device sends the conditions to the server

[1076] Input: Data in JSON format.

[1077] Data processing: The device creates an HTTP request and sends JSON formatted data to the server.

[1078] Output: The JSON data sent as the HTTP request.

[1079] Specific operation: The device generates an HTTP request based on the user's input and sends the request to the specified server URL.

[1080] Step 3:

[1081] The server receives and analyzes the conditions

[1082] Input: HTTP request and JSON format data sent from the terminal.

[1083] Data processing: The server decodes the data received and extracts the necessary parameters.

[1084] Output: Extracted parameters (destination, date, number of people, etc.).

[1085] Specific operation: The server receives an HTTP request, and the parsing engine decodes the JSON data and extracts the necessary information.

[1086] Step 4:

[1087] The server generates a search query

[1088] Input: The extracted parameters.

[1089] Data processing: The server generates SQL or NoSQL queries for database searches.

[1090] Output: The generated search query.

[1091] What happens: The server generates a specific search query based on the parameters to a database of accommodations and transportation options.

[1092] Step 5:

[1093] The server searches the database

[1094] Input: The generated search query.

[1095] Data processing: The server searches the database to gather matching accommodation and transportation information, applying artificial intelligence algorithms to identify suitable options.

[1096] Output: Search results (accommodation and transportation information).

[1097] What it does: The server queries the database, and the artificial intelligence model filters the best results.

[1098] Step 6:

[1099] The server lists the search results

[1100] Input: Search result information.

[1101] Data processing: The server encodes the search results into JSON format and generates a list of available options.

[1102] Output: A list of results in JSON format.

[1103] Specific behavior: Encode the filtered results and collect them as a list.

[1104] Step 7:

[1105] The device receives and displays the search results.

[1106] Input: A list of results in JSON format sent by the server.

[1107] Data processing: The terminal decodes the JSON data and displays the list in the user interface.

[1108] Output: The result list displayed in the user interface.

[1109] Specific operation: The device parses the received JSON data and displays the result list on the screen.

[1110] Step 8:

[1111] The user proceeds with the booking process

[1112] Input: Accommodation and transportation information selected by the user.

[1113] Data processing: The user enters reservation information, and the device encodes the information into JSON format.

[1114] Output: The encoded reservation information.

[1115] Specific actions: The user selects the desired accommodation and transportation, presses the "Book" button, and enters the required information.

[1116] Step 9:

[1117] The device sends the reservation information to the server.

[1118] Input: Reservation information in JSON format.

[1119] Data processing: The device creates an HTTP request and sends the reservation information to the server.

[1120] Output: Reservation information sent as an HTTP request.

[1121] Specific operation: The terminal generates an HTTP request and sends the reservation information to the server.

[1122] Step 10:

[1123] The server completes the reservation process

[1124] Input: Reservation information.

[1125] Data processing: Based on the reservation information received by the server, the reservation system APIs of accommodation and transportation companies are called to confirm the reservation.

[1126] Output: Confirmed reservation information.

[1127] Specific operation: The server calls the relevant API to complete the reservation procedure.

[1128] Step 11:

[1129] The server notifies the terminal of the confirmed reservation information.

[1130] Input: Confirmation of reservation information.

[1131] Data processing: The server encodes the reservation confirmation information into JSON format and sends it to the terminal as an HTTP response.

[1132] Output: Encoded booking confirmation information.

[1133] Specific operation: The server sends the reservation confirmation information to the terminal as an HTTP response.

[1134] Step 12:

[1135] The terminal displays the reservation confirmation information to the user.

[1136] Input: Confirmed reservation information sent from the server.

[1137] Data processing: The terminal decodes the reservation confirmation information received and displays it on the user interface.

[1138] Output: Booking completion information displayed in the user interface.

[1139] Specific Action: Allows the user to confirm the confirmed information displayed in the user interface.

[1140] (Application example 1)

[1141] 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."

[1142] In today's society, people need fast and efficient travel planning and meal delivery services. However, current systems make it difficult to centrally manage travel and meal planning, and it takes a lot of effort for users to find the best restaurant and delivery options. Furthermore, it is difficult to provide these services on a single platform.

[1143] 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.

[1144] In this invention, the server includes means for allowing a user to input conditions including travel or dining destination, date, number of people, budget, distance, transportation means, or delivery method, means for receiving the conditions and accessing a database to generate a search query, and means for searching accommodations and transportation means or restaurants and delivery options based on the search query and identifying available options, thereby enabling users to centrally manage their travel and dining plans and efficiently find optimal options.

[1145] "User" refers to a person who uses this system to plan trips and meals.

[1146] "Travel" refers to travel, including accommodation and transportation, to reach a destination and for a specified period of time.

[1147] "Dining" refers to the act of consuming food and beverages served at a restaurant or eating establishment.

[1148] "Conditions" refers to information entered by a user including travel or dining destination, date, number of people, budget, distance, transportation means or delivery method.

[1149] "Database" refers to a system that stores information about accommodation, transportation, restaurants and delivery options.

[1150] "Search query" refers to instructions generated to search a database based on user-entered criteria.

[1151] "Accommodation" refers to a facility that provides a place for users to stay for a specified period of time.

[1152] "Transportation" refers to the vehicle or means used by a user to travel to a destination.

[1153] "Restaurant" means a place for serving food.

[1154] "Delivery options" refers to the means or methods by which meals are delivered to a location and time specified by the user.

[1155] "Artificial intelligence algorithms" refer to computational methods used to identify the best accommodation, transportation, restaurant and delivery options based on your criteria.

[1156] "Reservation Process" means the process by which a User confirms the availability of their selected accommodation, transportation, restaurant and delivery options.

[1157] "Notification" refers to the act of informing a user of the results of a reservation procedure or other important information.

[1158] MODE FOR CARRYING OUT THE INVENTION

[1159] The present invention is a system that allows users to centrally plan their travel and dining plans. This system can be implemented using devices such as smartphones, tablets, and PCs. Specifically, the system allows users to input travel or dining requirements, and based on those requirements, it suggests optimal accommodations, transportation, restaurants, and delivery options, and allows users to make reservations and orders.

[1160] System Program

[1161] The system mainly consists of the following components:

[1162] User device: A device that can connect to the internet, such as a smartphone or tablet.

[1163] Server: A device that uses databases and AI algorithms to search, suggest, and reserve the best options based on the user's criteria.

[1164] Database: A system that stores information about accommodation, transportation, restaurants, and delivery options.

[1165] Program processing

[1166] 1. User inputs conditions

[1167] The user inputs travel or dining requirements (destination, date, number of people, budget, distance, transportation or delivery method) using a terminal. These requirements are sent to the server in JSON format.

[1168] 2. Data Reception and Analysis

[1169] The server receives the conditions sent from the device and analyzes the data. Specifically, it decodes the JSON format data and extracts the necessary parameters.

[1170] 3. Generating search queries

[1171] The server generates a search query based on the extracted parameters, the search query covering accommodation, transportation, restaurant and delivery options in the database.

[1172] 4. Searching and filtering options

[1173] The server uses artificial intelligence algorithms to search the database and identify available options that match your criteria, using AI frameworks like TensorFlow and PyTorch to suggest the best options.

[1174] 5. Providing search results

[1175] The server encodes the search results in JSON format and sends them to the user's device as an HTTP response, where the user can select the desired option from the displayed list.

[1176] 6. Reservation and Order Process

[1177] Based on the options selected by the user, the device sends reservation and ordering information back to the server, which then uses this information to process reservations for the accommodations, transportation, restaurants, and delivery options.

[1178] 7. Booking completion and notification

[1179] The server generates reservation confirmation information and notifies the user's terminal, which displays this information and notifies the user that the reservation has been completed.

[1180] Specific examples

[1181] For example, suppose a user requests "Italian" dinner for three people on "October 15, 2023, 7:00 PM," with a budget of 3,000 yen per person, and selects delivery by car. In this case, the user enters these conditions using their device and sends them to the server. Based on the received information, the server uses an AI algorithm to search for restaurants and delivery options that meet the conditions. Appropriate candidates are displayed as search results, and the user selects the desired restaurant from the list and taps the "Book Now" button. This operation causes the server to call the restaurant's reservation system API to confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[1182] Prompt Sentence Examples

[1183] The user is looking for dinner at an Italian restaurant for three people at 7:00 PM on October 15, 2023, with a budget of 3,000 yen per person. The user also wants delivery by car.

[1184] In this way, a system can be realized that allows users to easily and efficiently manage travel and meal plans in one place.

[1185] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1186] Step 1:

[1187] Conditions entered by the user

[1188] The user uses the terminal to input the travel or dining destination, date, number of people, budget, distance, transportation method or delivery method. The input conditions are encoded in JSON format. This enables searches based on the conditions. Input data: destination, date, number of people, budget, distance, transportation method or delivery method. Output data: condition data in JSON format.

[1189] Step 2:

[1190] Conditional reception and analysis by the server

[1191] The server receives the JSON formatted condition data sent by the device. The server decodes this data and extracts the necessary parameters. This generates a search query based on the user's requirements. Input data: JSON formatted condition data. Output data: Extracted parameters.

[1192] Step 3:

[1193] Server-generated search queries

[1194] The server uses the extracted parameters to generate a search query for accommodation, transportation, restaurants and delivery options, ready to query the database. Input data: extracted parameters. Output data: search query.

[1195] Step 4:

[1196] Server-based option search and determination

[1197] The server uses the generated search query to search its database. It uses artificial intelligence algorithms to identify the accommodation, transportation, restaurant and delivery options that best fit the user's criteria. AI frameworks such as TensorFlow and PyTorch are used here. The search results are filtered to select the best options. Input data: search query. Output data: list of options that match the criteria.

[1198] Step 5:

[1199] Server provides search results

[1200] The server encodes the option list that matches the conditions into JSON format and sends it to the user's device as an HTTP response, allowing the user to confirm the options. Input data: Option list that matches the conditions. Output data: Option list in JSON format.

[1201] Step 6:

[1202] User selects an option

[1203] The user selects the desired accommodation, transportation, restaurant, and delivery options from the option list displayed on the terminal. The selected options are again encoded in JSON format and sent to the server. Input data: Options selected by the user. Output data: Reservation information in JSON format.

[1204] Step 7:

[1205] Server executes reservation procedure

[1206] The server processes the reservation for each accommodation, transportation, restaurant, and delivery option based on the received reservation information. This includes calling external APIs. Once the reservation is confirmed, the server generates the reservation result. Input data: Reservation information in JSON format. Output data: Reservation result.

[1207] Step 8:

[1208] Server notification of reservation completion

[1209] The server generates a notification indicating that the reservation has been completed and sends it to the user's device. The device receives this information and notifies the user that the reservation has been confirmed. Input data: Reservation result. Output data: Reservation completion notification.

[1210] 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.

[1211] The present invention combines a system in which a user inputs travel conditions such as destination, date, number of people, budget, distance, and transportation, and a server searches for the most suitable accommodation and transportation based on these conditions, and even makes reservations, with an emotion engine that recognizes the user's emotions. This makes it possible to make travel suggestions according to the user's emotional state, improving travel satisfaction.

[1212] Program processing explanation

[1213] 1. Enter conditions and send

[1214] When a user opens the "Tabikon" app on their device, an emotion engine runs in the background to recognize the user's emotional state from their facial expressions and voice.

[1215] The user inputs travel conditions, including the destination, date, number of people, budget, distance, and means of transportation, and the device transmits these conditions along with emotion data to the server.

[1216] 2. Receiving and parsing conditions

[1217] The server analyzes the received condition and emotion data, decodes the data entered by the user, and extracts the necessary parameters and emotion data.

[1218] The server generates a search query based on the required parameters, which also takes emotion data into account.

[1219] 3. Finding accommodation and transportation

[1220] The server searches its database to find accommodation and transportation options that match the user's requirements and emotions, using artificial intelligence algorithms to identify the best options based on the user's emotional state.

[1221] The server filters the search results and generates a list of available options.

[1222] 4. Providing search results

[1223] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[1224] The device analyzes the received data and displays a list to the user, which reflects the user's emotions.

[1225] 5. Booking procedure

[1226] The user selects accommodation and transportation and enters information for reservation, which the terminal then sends to the server.

[1227] Based on the reservation information received by the server, the reservation system APIs for accommodation and transportation are called to complete the reservation process.

[1228] 6. Booking completion and notification

[1229] The server generates the reservation confirmation information and notifies the user's device. The display format may also be customized based on the user's emotions.

[1230] The terminal receives the confirmation information and displays it to the user, who is notified that the reservation is complete.

[1231] Specific examples

[1232] For example, suppose a user's goal is "relaxation," and they set the date as "three days from January 10, 2023," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the means of transportation as "bus." In this case, the user enters these conditions using their device and sends them to the server. The emotion engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends it to the server.

[1233] Based on the received information and emotional data, the server uses an AI algorithm to prioritize and provide options with a strong healing element and comprehensive relaxation programs, such as a resort hotel with a spa or a quiet mountain lodge.

[1234] The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device, completing a travel plan that perfectly suits their desire to relax.

[1235] In this way, users can easily and efficiently plan their trips and book accommodations and transportation all in one place, and the system can improve their travel satisfaction through personalized suggestions provided by the emotion engine.

[1236] The processing flow will be explained below.

[1237] Step 1:

[1238] When a user opens the Tabikon app on their device, an emotion engine that analyzes the user's facial expressions and voice runs in the background.

[1239] Step 2:

[1240] The user inputs travel conditions, including the destination, date, number of people, budget, distance, and mode of transportation. The device collects emotional data (e.g., stress and happiness) in parallel with the user's input of conditions.

[1241] Step 3:

[1242] The device sends the input conditions and emotion data to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[1243] Step 4:

[1244] The server analyzes the received condition and emotion data, and extracts the necessary parameters and emotion information from the decoded data.

[1245] Step 5:

[1246] The server generates a search query based on the required parameters, taking into account sentiment data as well, for example prioritizing accommodations with relaxation features for a stressed user.

[1247] Step 6:

[1248] The server searches its database to find accommodations and transportation options that match the user's criteria and emotions, using artificial intelligence algorithms to identify the options that best suit the user's emotional state.

[1249] Step 7:

[1250] The server filters the search results to generate a list of available options, ranking the recommendations according to the user's emotional state.

[1251] Step 8:

[1252] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[1253] Step 9:

[1254] The device analyzes the received data and displays a list to the user, which takes into consideration the user's emotions (e.g., if you need to relax, hotels with spas will be displayed first).

[1255] Step 10:

[1256] The user selects accommodation and transportation and enters the information for reservation. The terminal sends the reservation information to the server.

[1257] Step 11:

[1258] The server receives the reservation information and calls the accommodation and transportation reservation system APIs to complete the reservation process.

[1259] Step 12:

[1260] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[1261] Step 13:

[1262] The device receives the confirmation and displays it to the user, who is notified that the reservation has been completed. The content of the notification may also be customized to take into account the user's emotional state.

[1263] Example 2

[1264] 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."

[1265] Conventional travel reservation systems simply search for and display accommodations and transportation options based on user input, making it difficult to provide personalized suggestions based on the user's emotional state and improving travel satisfaction. Furthermore, there is no way to aggregate real-time updates from multiple accommodations and transportation options, which reduces the reliability of reservations.

[1266] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for recognizing emotion data from the user's facial expression or voice, means for receiving the conditions and emotion data and accessing a database to generate a search query, and means for aggregating availability information from multiple accommodations and transportation modes and updating it in real time. This enables personalized suggestions based on the user's emotional state, improving travel satisfaction and further increasing the reliability of reservations.

[1267] "User" refers to a person who inputs travel conditions and emotional data and selects accommodation and transportation.

[1268] "Conditions" refers to information such as the travel destination, date, number of people, budget, distance, and means of transportation entered by the user.

[1269] "Emotion data" refers to the emotional state recognized by analyzing the user's facial expressions and voice.

[1270] "Server" refers to a device that receives user-entered criteria and emotion data, generates search queries, searches for accommodations and transportation options, and manages the reservation process.

[1271] "Database" refers to a collection of data containing information about accommodation and transportation options.

[1272] A "search query" refers to a search query generated based on a user's criteria and emotion data.

[1273] "Accommodation facilities" refers to facilities such as hotels, inns, and guesthouses where users can stay.

[1274] "Transportation" refers to the means of transportation used by the user when traveling, including trains, buses, airplanes, etc.

[1275] "List" refers to a list of accommodations and transportation options presented to a user as a search result.

[1276] "Reservation procedure" refers to the series of processes for actually booking the accommodation and transportation selected by the user.

[1277] "Notification" refers to information that informs the user of the results of the reservation procedure.

[1278] "Artificial Intelligence Algorithm" refers to the algorithm used by the Server to identify the most suitable accommodation and transportation options based on the User's requirements and emotional data.

[1279] The present invention is a system that combines an emotion engine that recognizes the user's emotions with a system in which a user inputs travel requirements, a server searches for the most suitable accommodations and transportation options based on those requirements, and even allows the user to make reservations. This makes it possible to make travel suggestions that correspond to the user's emotional state, improving travel satisfaction.

[1280] System configuration

[1281] The system includes the following hardware and software:

[1282] User device: smartphone, tablet, or computer

[1283] Server: Cloud server, database server

[1284] Emotion engine: facial expression recognition software, voice analysis software

[1285] AI algorithms: algorithms for generating search queries and determining the best accommodation and transportation options

[1286] Program processing explanation

[1287] The user launches the "Tabikon" app using a device (smartphone, tablet, PC, etc.). The device's built-in camera and microphone automatically activate, and the emotion engine recognizes the user's facial expressions and voice. The user then enters the travel destination, date, number of people, budget, distance, and mode of transportation on the app's interface. The device encodes these input conditions and emotion data in JSON format and sends it to the server via the HTTP protocol.

[1288] The server decodes the received data and extracts travel conditions and emotion data. Based on the extracted data, it generates a query to search for accommodation and transportation options, and the search query also takes emotion data into account. The server searches a database to find suitable accommodation and transportation options based on the user's input conditions and emotion state. It filters the search results and generates a list of available options.

[1289] The server again encodes the generated list in JSON format and sends it to the user's device as an HTTP response. The device analyzes the received data and displays the list to the user. The user selects the desired accommodation and transportation method from the displayed list and enters the reservation information on the device. The device again sends the reservation information to the server, and the server calls the accommodation and transportation reservation system APIs based on the received reservation information to complete the reservation process. Finally, the server generates confirmed reservation information and sends it to the user's device. The device displays the received confirmed information to the user.

[1290] Specific examples

[1291] For example, suppose a user's goal is "relaxation," and they set the date as "three days from January 10, 2023," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the means of transportation as "bus." The user enters these conditions using their device and sends them to the server. At the same time, the emotion engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends that data to the server.

[1292] Based on the received information and emotional data, the server uses an AI algorithm to search and provide options that prioritize soothing accommodations and those with comprehensive relaxation programs. For example, a resort hotel with a spa or a quiet mountain lodge may be listed as options. The user selects the desired accommodation from this list and proceeds with the reservation process. Finally, a notification is displayed on the user's device indicating that the reservation has been completed.

[1293] Example prompt for a generative AI model:

[1294] Please provide a trip proposal that meets the following criteria. Please be specific and include a detailed itinerary:

[1295] Destination: Hot spring resort

[1296] Date: May 1st to 4th, 2023

[1297] Number of people: 2 people

[1298] Budget: 60,000 yen per person

[1299] Distance: Within 300km

[1300] Transportation: train

[1301] Also, users have the emotion of wanting to relax. Please suggest travel plans that correspond to their emotions.

[1302] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1303] Step 1: Launch the app

[1304] When the user launches the Tabikon app on their device, the device's camera and microphone are automatically activated and the emotion engine begins running in the background.

[1305] Input: The user launches the app.

[1306] Output: The camera and microphone are activated and the emotion engine begins to operate.

[1307] Step 2: Enter conditions

[1308] The user enters the travel destination, date, number of people, budget, distance, and transportation method on the app interface. For example, "Destination: Kyoto," "Date: May 1st to 3 days, 2023," and "Number of people: 2."

[1309] Input: The user enters the travel conditions (destination, date, number of people, budget, distance, and means of transportation).

[1310] Output: The input condition data.

[1311] Step 3: Recognize and transmit emotion data

[1312] The device uses a camera and microphone to analyze the user's facial expressions and voice, recognizing emotional data. The emotion engine then identifies the user's emotional state, such as "I want to relax" or "I'm excited."

[1313] Input: User's facial and voice data.

[1314] Output: Recognized emotion data.

[1315] Step 4: Sending data

[1316] The terminal encodes the input condition data and emotion data in JSON format and sends it to the server via the HTTP protocol.

[1317] Input: Condition data and emotion data.

[1318] Output: Data encoded in JSON format.

[1319] Step 5: Receiving and analyzing data

[1320] The server decodes the received data and extracts the condition data and emotion data.

[1321] Input: Data encoded in JSON format.

[1322] Output: Condition data and emotion data.

[1323] Step 6: Generating a search query

[1324] The server generates a search query based on the condition data and emotion data. For example, if the user's emotional state is "I want to relax," a query reflecting that emotion is generated.

[1325] Input: Condition data and emotion data.

[1326] Output: The search query.

[1327] Step 7: Search the database

[1328] The server searches its database for accommodation and transportation options that match the user's criteria and sentiment, using AI algorithms to identify the best options.

[1329] Input: Search query.

[1330] Output: Search result data.

[1331] Step 8: Filtering the results and generating a list

[1332] The server filters the search results to generate a list of available options that reflects the user's emotional state.

[1333] Input: Search result data.

[1334] Output: A list of available options.

[1335] Step 9: Submit the list

[1336] The server encodes the generated list in JSON format and sends it to the user's device as an HTTP response.

[1337] Input: A list of available options.

[1338] Output: List data encoded in JSON format.

[1339] Step 10: View the list

[1340] The device decodes the received data and displays a list to the user, which reflects the user's emotional state.

[1341] Input: List data encoded in JSON format.

[1342] Output: The displayed list.

[1343] Step 11: Select your booking options

[1344] The user selects accommodation and transportation from the displayed list and enters the information for booking. For example, the user selects "a hotel with a relaxing spa."

[1345] Input: User selection and reservation information.

[1346] Output: Selected accommodation and transportation data.

[1347] Step 12: Submit reservation information

[1348] The terminal encodes the reservation information entered by the user in JSON format and sends it to the server via the HTTP protocol.

[1349] Input: Reservation information.

[1350] Output: Reservation data encoded in JSON format.

[1351] Step 13: Call the booking system API

[1352] Based on the reservation information received by the server, the reservation system APIs for accommodation and transportation are called to complete the reservation process.

[1353] Input: Reservation data encoded in JSON format.

[1354] Output: Confirmed reservation data.

[1355] Step 14: Generate and notify booking confirmation

[1356] The server generates a confirmation of the reservation and sends it to the user's device, including the reservation details and a confirmation number.

[1357] Input: Confirmed reservation data.

[1358] Output: Confirmed information for notification.

[1359] Step 15: View Confirmed Information

[1360] The device decodes the received confirmation information and displays it to the user in a format that is customized according to the user's emotional state.

[1361] Input: Confirmed information.

[1362] Output: The displayed confirmation information.

[1363] (Application example 2)

[1364] 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."

[1365] Conventional travel planning systems have been unable to provide personalized travel suggestions that reflect the user's emotions, and have therefore been unable to sufficiently increase user satisfaction. Furthermore, they lacked a means to provide interactive travel planning within a virtual environment, making it difficult for users to select the optimal travel plan that takes into account their emotions and special needs.

[1366] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1367] In this invention, the server includes means for prompting a user to input travel conditions including travel destination, date, number of people, budget, distance, and means of transportation, means for receiving the conditions and accessing a database to generate a search query, means for searching for accommodations and transportations based on the search query and identifying available options, means for presenting a list of the available options to the user, means for booking the accommodations and transportations selected by the user, means for notifying the user of the results of the booking procedure, means for recognizing the user's emotions and receiving and analyzing emotion data along with the input conditions, means for proposing optimal accommodations and transportations taking the emotion data into consideration, and means for proposing a travel plan in a virtual environment and interactively presenting it to the user. This makes it possible to provide a personalized travel plan based on the user's emotions, realize interactive travel planning in a virtual environment, and improve user travel satisfaction.

[1368] A "user" is a person who inputs travel requirements and whose emotional data is analyzed by the emotion recognition engine.

[1369] "Travel destination, date, number of people, budget, distance, and means of transportation" are the basic conditions a user needs to make a travel plan.

[1370] "Conditions" are information that a user inputs when planning a trip, and include the trip destination, date, number of people, budget, distance, and means of transportation.

[1371] "Database" refers to a collection of data that stores information for searching for the best accommodation and transportation options based on the user's input criteria.

[1372] A "search query" is a query generated based on a user's criteria to retrieve the most suitable accommodation and transportation options from a database.

[1373] "Accommodation" means a place where a traveler stays, including hotels, resorts, and guesthouses.

[1374] "Transportation" refers to the means of transportation to a destination in a travel plan, including airplanes, trains, buses, automobiles, etc.

[1375] "Emotion data" is data that indicates the user's emotional state, obtained by the user's emotion recognition engine.

[1376] An "emotion recognition engine" is software or hardware that analyzes emotions from a user's facial expressions and voice and generates emotion data.

[1377] A "virtual environment" is a digital system that allows users to interactively plan their trips within a virtual reality space.

[1378] "Interactive" means that the user can interact with the system in two ways, providing real-time control and feedback.

[1379] "Artificial intelligence algorithms" are machine learning and data analysis techniques used to select optimal accommodation and transportation options based on user requirements and emotional data.

[1380] "Reservation Process" means the series of actions and procedures to formally reserve the accommodation and transportation selected by the User.

[1381] "Notifications" are messages or alerts that inform the User about the outcome of a booking transaction or other important information.

[1382] This invention combines a system in which a user inputs travel conditions such as destination, date, number of people, budget, distance, and means of transportation, and a server searches for the most suitable accommodation and means of transportation based on these inputs, and even completes the reservation, with an emotion engine that recognizes the user's emotions. Detailed embodiments are described below.

[1383] 1. Input condition reception and emotion recognition

[1384] When a user opens a trip planning application on a device, the device provides a means for inputting travel conditions such as the destination, date, number of people, budget, distance, and mode of transportation. For example, the user can input these conditions by voice input or interactive operation within the VR space. At this time, the camera and microphone of the VR headset (e.g., a general-purpose VR headset) are used to analyze the user's face and voice with an emotion recognition engine (e.g., a general-purpose emotion recognition API) to generate emotion data.

[1385] 2. Analyzing and sending condition and emotion data

[1386] The device sends the entered conditions and emotion data to a server. The server receives this data, accesses a database, and generates a search query. The interactive generative AI model (e.g., a general-purpose artificial intelligence algorithm) used here creates the optimal search query based on the conditions and emotion data, and suggests the best accommodation and transportation options for the user.

[1387] 3. Search and Filter

[1388] The server uses the generated search query to search for suitable accommodations and transportation options from a database. It then filters the options based on the user's emotion data and generates a list of available options. For example, if the user indicates a desire to "relax," the server prioritizes resort hotels and accommodations with quiet surroundings that match that emotion.

[1389] 4. Presentation of results and reservations

[1390] The server encodes the list of available options in JSON format or similar and sends it to the user's device as an HTTP response. The device parses the list and presents it to the user as a 3D display in the VR space. The user can then interactively select options and complete the reservation process. The server again receives the user's selection and calls the reservation system APIs of each accommodation and transportation provider to confirm the reservation.

[1391] 5. Booking completion and notification

[1392] Once the reservation process is complete, the server generates reservation confirmation information and notifies the user's device. The device receives the confirmation information and displays a notification in the VR space, allowing the user to confirm that their emotion-based travel plan has been completed.

[1393] Specific examples

[1394] For example, suppose a user's goal is "relaxation," and they specify the date as "three days from the 10th of the next month," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the mode of transportation as "bus." In this case, the user enters these conditions using their device and sends them to the server. An emotion recognition engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends the information to the server. Based on the received information and emotional data, the server uses a general-purpose AI algorithm to prioritize and search for and provide options for accommodations with a strong healing element and comprehensive relaxation programs. For example, a resort hotel with a spa or a quiet mountain inn might be listed as a candidate.

[1395] Prompt Sentence Examples

[1396] As an example, a prompt sentence to be input to a generative AI model can be created as follows:

[1397] This is a service that allows users to plan trips in a VR space. I would like to develop an application that recognizes the user's emotions, suggests optimal travel plans, and even makes reservations. The input information is the travel destination, date, number of people, budget, and transportation, and emotional data is also taken into consideration. A general-purpose emotion recognition API will be used for emotion recognition, the VR space will be built on a general-purpose development platform, and a general-purpose travel plan search system will be used to search for travel plans. As a specific example, if it is recognized that the user is looking for relaxation, please suggest a quiet resort hotel in the mountains. Please also provide specific code.

[1398] In this way, by providing a personalized travel plan based on the user's emotions, the user's travel satisfaction can be improved.

[1399] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1400] Step 1:

[1401] A user opens a trip planning application on a device. Here, the user inputs travel conditions, including the trip destination, date, number of people, budget, distance, and transportation method, by voice or manually. The input conditions are sent to the server along with emotion data obtained from the user's facial expressions and voice by an emotion recognition engine. The input is the user's conditions and emotion data, and the output is a request including the conditions and emotion data.

[1402] Step 2:

[1403] The server accesses the database based on the conditions and emotion data received from the user and generates a search query. When generating a search query for the database, an artificial intelligence algorithm is used to generate a query that also takes emotion data into consideration. The input is the conditions and emotion data, and the output is the search query.

[1404] Step 3:

[1405] The server uses the generated search query to search a database for accommodation and transportation options, identifying options that include quiet accommodations and relaxation programs that correspond to the user's desire for relaxation based on the user's emotional data. The input is the search query, and the output is a list of available accommodation and transportation options.

[1406] Step 4:

[1407] The server encodes the list of available options in JSON format or similar and sends it to the user's device as an HTTP response. The device then parses the received list and presents it to the user as a 3D display in the VR space. The input is a list of available options, and the output is an interactive display on the user's device.

[1408] Step 5:

[1409] The user selects the desired accommodation and transportation from a list of options presented in the VR space and completes the reservation process. Based on the selected options, the user's selection information is sent from the device to the server. The input is the user's selection, and the output is a request containing the selection information.

[1410] Step 6:

[1411] The server calls the reservation system APIs for each accommodation and transportation method based on the received selection information to complete the reservation process. It generates information indicating that the reservation has been confirmed and notifies the user's device. The input is the selection information, and the output is the reservation confirmation information.

[1412] Step 7:

[1413] The user's device analyzes the reservation confirmation information received from the server and displays a notification in the VR space, allowing the user to confirm that the reservation has been completed. The input is the reservation confirmation information, and the output is the notification display.

[1414] 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.

[1415] 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.

[1416] 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.

[1417] [Fourth embodiment]

[1418] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1419] 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.

[1420] 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).

[1421] 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.

[1422] 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.

[1423] 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).

[1424] 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.

[1425] 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.

[1426] 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.

[1427] 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.

[1428] 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.

[1429] 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.

[1430] 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."

[1431] The present invention, the "AI Travel Concierge System for Travel Support Based on Purpose," is a system in which users input travel conditions such as destination, date, number of people, budget, distance, and transportation, and the server searches for and makes reservations for the most suitable accommodations and transportation based on these conditions. This system is equipped with a variety of functions to enable users to easily plan their trips.

[1432] Program processing explanation

[1433] 1. Enter conditions and send

[1434] The user inputs travel conditions using a terminal. Using the system's app, the user inputs information such as the travel destination, date, number of people, budget, distance, and transportation method.

[1435] The terminal sends the entered conditions to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[1436] 2. Receiving and parsing conditions

[1437] The server parses the received conditions, decodes the transmitted data, and extracts the required parameters.

[1438] The server generates a search query based on the required parameters, which is targeted against a database of accommodations and transportation options.

[1439] 3. Finding accommodation and transportation

[1440] The server searches its database for matching accommodation and transportation options, using artificial intelligence algorithms to identify the options that best suit the user's requirements.

[1441] The server filters the search results and generates a list of available options.

[1442] 4. Providing search results

[1443] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[1444] The device analyzes the received data and displays a list to the user, who can then select their preferred accommodation and transportation options.

[1445] 5. Booking procedure

[1446] The user selects accommodation and transportation and enters information to proceed with the booking.

[1447] The terminal sends the reservation information selected by the user to the server. The reservation information is encoded in JSON format or similar and sent to the server as an HTTP request.

[1448] Based on the reservation information received by the server, the reservation system API for accommodation and transportation is called and the reservation process is carried out.

[1449] 6. Booking completion and notification

[1450] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[1451] The terminal displays the received confirmation information to the user, notifying him or her that the reservation has been completed.

[1452] Specific examples

[1453] For example, suppose a user sets the purpose as "sightseeing," the date as "3 days from January 10, 2023," the number of people as "4 people," the budget as "60,000 yen per person," the distance as "within 300 km," and the means of transportation as "Shinkansen." In this case, the user enters these conditions using a device and sends them to the server. Based on the received information, the server uses an AI algorithm to search for accommodation and transportation that meet the conditions.

[1454] The search results show a list of five hotels and three guesthouses. The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[1455] In this way, the system allows users to easily and efficiently plan their trips and make reservations for accommodations and transportation all in one place.

[1456] The processing flow will be explained below.

[1457] Step 1:

[1458] The user opens the "Travel Con" app on their device.

[1459] Step 2:

[1460] The user inputs travel conditions including the destination, date, number of people, budget, distance, and mode of transportation.

[1461] Step 3:

[1462] The terminal sends the entered conditions to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[1463] Step 4:

[1464] The server parses the received conditions, decodes the transmitted data, and extracts the required parameters.

[1465] Step 5:

[1466] The server generates a search query based on the required parameters, which is targeted against a database of accommodations and transportation options.

[1467] Step 6:

[1468] The server searches the database to find accommodations and transportation options that meet the criteria.

[1469] Step 7:

[1470] The server uses artificial intelligence algorithms to identify the options that best suit the user's criteria.

[1471] Step 8:

[1472] The server filters the search results and generates a list of available options.

[1473] Step 9:

[1474] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[1475] Step 10:

[1476] The device analyzes the received data and displays a list to the user, who can then select the desired accommodation and transportation options from the displayed list.

[1477] Step 11:

[1478] The user selects accommodation and transportation and enters information for booking.

[1479] Step 12:

[1480] The device sends the user's reservation information to the server. The reservation information is encoded in JSON format or similar and sent to the server as an HTTP request.

[1481] Step 13:

[1482] The server receives the reservation information and calls the accommodation and transportation reservation system APIs to complete the reservation process.

[1483] Step 14:

[1484] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[1485] Step 15:

[1486] The terminal receives the confirmation information and displays it to the user, who is notified that the reservation is complete.

[1487] Example 1

[1488] 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."

[1489] Conventional travel planning and reservation systems have the disadvantage of requiring users to individually search for and book accommodations and transportation options, which requires a lot of time and effort. Furthermore, users must use multiple websites and services to find the optimal accommodation and transportation option, which is also cumbersome for users. Furthermore, availability cannot be determined in real time, which increases the risk of a failed reservation. The present invention aims to solve these problems by providing a system that allows users to efficiently plan trips and book optimal accommodations and transportation options in a unified manner.

[1490] 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.

[1491] In this invention, the server includes: means for having a user input travel conditions including travel destination, date, number of people, budget, distance, and means of transportation; means for receiving the conditions and accessing a database to generate a search query; means for searching for accommodations and transportation based on the search query and identifying available options using an artificial intelligence algorithm; means for presenting a list of the available options to the user and displaying it on a user interface; means for calling a reservation system API to complete a reservation procedure for the accommodations and transportation selected by the user; and means for notifying the user of the results of the reservation procedure and displaying it on a user interface. This allows users to easily and quickly plan their trip and make reservations for accommodations and transportation in a unified manner.

[1492] "User" means an individual or entity that utilizes the System to input travel requirements and search for and book accommodations and transportation.

[1493] A "terminal" is a device that allows a user to perform input operations, and includes a smartphone, tablet, PC, etc.

[1494] "Server" means the computer system that receives and analyzes the data sent by the User, generates search queries based on the User's criteria, and searches for and reserves accommodation and transportation.

[1495] "Conditions" are information that a user inputs when making travel plans, and include elements such as destination, date, number of people, budget, distance, and means of transportation.

[1496] "Database" refers to a collection of information storing accommodation and transportation information based on a search query.

[1497] "Search query" means a specific inquiry used by a server to search a database based on criteria entered by a user.

[1498] "Artificial intelligence algorithm" means a computational method, including machine learning models, used to identify the most suitable accommodation and transportation options based on a user's criteria.

[1499] "Options" refers to accommodation and transportation options identified as search results.

[1500] A "user interface" refers to the screens and operating elements displayed on a terminal, providing the means for a user to operate the system.

[1501] "Reservation System API" means the application program interface that the server calls to make reservations for accommodations and transportation.

[1502] "JSON format" refers to a lightweight data exchange format that expresses data in text format and allows for the efficient exchange of structured information.

[1503] "HTTP request" refers to a request message of a communication protocol used to send data from a user's terminal to a server.

[1504] "HTTP response" refers to a response message of a communication protocol used to return data from a server to a user's terminal.

[1505] The present invention, the "Objective-Specific Travel Support AI Travel Concierge System," is a system that allows users to input travel conditions, search for the most suitable accommodations and transportation based on those conditions, and even make reservations in an integrated manner. This system operates around the user, terminals, and server, each of which plays a different role.

[1506] First, the user inputs the travel conditions using a device. The device can be a smartphone, tablet, or PC. The user inputs information such as the travel destination, date, number of people, budget, distance, and means of transportation through a dedicated app or website. These conditions are sent to the server as an HTTP request.

[1507] The server decodes and parses the received JSON data, extracts necessary parameters (destination, date, number of people, etc.), and generates a search query based on that information. This search query targets a database of accommodation and transportation options, and can be an SQL or NoSQL query.

[1508] The server then searches its database for accommodation and transportation options that fit the user's criteria. This process uses artificial intelligence algorithms, specifically machine learning models, to identify the best options for the user. The algorithms refer to historical data and user ratings to select the best options.

[1509] The server filters the search results and generates a list of available options. This list is again encoded in JSON and sent as an HTTP response to the user's device. The device decodes the received data and displays the search results in a user interface. The user can then select their preferred accommodation and transportation options from the displayed list.

[1510] When the user enters reservation information for the selected accommodation and transportation, the device encodes this information in JSON format and sends it to the server. The server then calls the reservation system APIs of the relevant accommodation and transportation providers based on the received reservation information to confirm the actual reservation.

[1511] Finally, the server generates a reservation confirmation and notifies the user's device, which then decodes the information and displays the reservation completion on the user interface, allowing the user to easily and quickly plan their trip.

[1512] Specific examples

[1513] For example, suppose a user enters the following criteria for the purpose of "sightseeing":

[1514] Date: 3 days from January 10, 2023

[1515] Number of people: 4 people

[1516] Budget: 60,000 yen per person

[1517] Distance: Within 300km

[1518] Transportation: Shinkansen

[1519] The user inputs these requirements into a device and sends them to the server, which then uses AI algorithms to search for accommodation and transportation options that meet the requirements.

[1520] The search results show a list of five hotels and three guesthouses. The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[1521] Prompt Sentence Examples

[1522] The following prompts are used to generate a travel plan using a generative AI model:

[1523] I am planning a trip for sightseeing. Please suggest accommodation and transportation that meet the following criteria:

[1524] Date: 3 days from January 10, 2023

[1525] Number of people: 4 people

[1526] Budget: 60,000 yen per person

[1527] Distance: Within 300km

[1528] Transportation: Shinkansen

[1529] Provide your search results as a list of 5 hotels and 3 guesthouses.

[1530] Thus, through the embodiment of the present invention, a user can efficiently and quickly plan and book a trip.

[1531] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1532] Program processing steps

[1533] Step 1:

[1534] The user enters the conditions

[1535] Input: The user enters travel conditions (destination, date, number of people, budget, distance, and means of transportation) into the terminal.

[1536] Data processing: The terminal encodes the entered conditions into JSON format.

[1537] Output: The encoded JSON data is generated.

[1538] Specific action: A user enters information into a form via a dedicated app or website on a smartphone or computer and presses the "Submit" button.

[1539] Step 2:

[1540] The device sends the conditions to the server

[1541] Input: Data in JSON format.

[1542] Data processing: The device creates an HTTP request and sends JSON formatted data to the server.

[1543] Output: The JSON data sent as the HTTP request.

[1544] Specific operation: The device generates an HTTP request based on the user's input and sends the request to the specified server URL.

[1545] Step 3:

[1546] The server receives and analyzes the conditions

[1547] Input: HTTP request and JSON format data sent from the terminal.

[1548] Data processing: The server decodes the data received and extracts the necessary parameters.

[1549] Output: Extracted parameters (destination, date, number of people, etc.).

[1550] Specific operation: The server receives an HTTP request, and the parsing engine decodes the JSON data and extracts the necessary information.

[1551] Step 4:

[1552] The server generates a search query

[1553] Input: The extracted parameters.

[1554] Data processing: The server generates SQL or NoSQL queries for database searches.

[1555] Output: The generated search query.

[1556] What happens: The server generates a specific search query based on the parameters to a database of accommodations and transportation options.

[1557] Step 5:

[1558] The server searches the database

[1559] Input: The generated search query.

[1560] Data processing: The server searches the database to gather matching accommodation and transportation information, applying artificial intelligence algorithms to identify suitable options.

[1561] Output: Search results (accommodation and transportation information).

[1562] What it does: The server queries the database, and the artificial intelligence model filters the best results.

[1563] Step 6:

[1564] The server lists the search results

[1565] Input: Search result information.

[1566] Data processing: The server encodes the search results into JSON format and generates a list of available options.

[1567] Output: A list of results in JSON format.

[1568] Specific behavior: Encode the filtered results and collect them as a list.

[1569] Step 7:

[1570] The device receives and displays the search results.

[1571] Input: A list of results in JSON format sent by the server.

[1572] Data processing: The terminal decodes the JSON data and displays the list in the user interface.

[1573] Output: The result list displayed in the user interface.

[1574] Specific operation: The device parses the received JSON data and displays the result list on the screen.

[1575] Step 8:

[1576] The user proceeds with the booking process

[1577] Input: Accommodation and transportation information selected by the user.

[1578] Data processing: The user enters reservation information, and the device encodes the information into JSON format.

[1579] Output: The encoded reservation information.

[1580] Specific actions: The user selects the desired accommodation and transportation, presses the "Book" button, and enters the required information.

[1581] Step 9:

[1582] The device sends the reservation information to the server.

[1583] Input: Reservation information in JSON format.

[1584] Data processing: The device creates an HTTP request and sends the reservation information to the server.

[1585] Output: Reservation information sent as an HTTP request.

[1586] Specific operation: The terminal generates an HTTP request and sends the reservation information to the server.

[1587] Step 10:

[1588] The server completes the reservation process

[1589] Input: Reservation information.

[1590] Data processing: Based on the reservation information received by the server, the reservation system APIs of accommodation and transportation companies are called to confirm the reservation.

[1591] Output: Confirmed reservation information.

[1592] Specific operation: The server calls the relevant API to complete the reservation procedure.

[1593] Step 11:

[1594] The server notifies the terminal of the confirmed reservation information.

[1595] Input: Confirmation of reservation information.

[1596] Data processing: The server encodes the reservation confirmation information into JSON format and sends it to the terminal as an HTTP response.

[1597] Output: Encoded booking confirmation information.

[1598] Specific operation: The server sends the reservation confirmation information to the terminal as an HTTP response.

[1599] Step 12:

[1600] The terminal displays the reservation confirmation information to the user.

[1601] Input: Confirmed reservation information sent from the server.

[1602] Data processing: The terminal decodes the reservation confirmation information received and displays it on the user interface.

[1603] Output: Booking completion information displayed in the user interface.

[1604] Specific Action: Allows the user to confirm the confirmed information displayed in the user interface.

[1605] (Application example 1)

[1606] 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."

[1607] In today's society, people need fast and efficient travel planning and meal delivery services. However, current systems make it difficult to centrally manage travel and meal planning, and it takes a lot of effort for users to find the best restaurant and delivery options. Furthermore, it is difficult to provide these services on a single platform.

[1608] 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.

[1609] In this invention, the server includes means for allowing a user to input conditions including travel or dining destination, date, number of people, budget, distance, transportation means, or delivery method, means for receiving the conditions and accessing a database to generate a search query, and means for searching accommodations and transportation means or restaurants and delivery options based on the search query and identifying available options, thereby enabling users to centrally manage their travel and dining plans and efficiently find optimal options.

[1610] "User" refers to a person who uses this system to plan trips and meals.

[1611] "Travel" refers to travel, including accommodation and transportation, to reach a destination and for a specified period of time.

[1612] "Dining" refers to the act of consuming food and beverages served at a restaurant or eating establishment.

[1613] "Conditions" refers to information entered by a user including travel or dining destination, date, number of people, budget, distance, transportation means or delivery method.

[1614] "Database" refers to a system that stores information about accommodation, transportation, restaurants and delivery options.

[1615] "Search query" refers to instructions generated to search a database based on user-entered criteria.

[1616] "Accommodation" refers to a facility that provides a place for users to stay for a specified period of time.

[1617] "Transportation" refers to the vehicle or means used by a user to travel to a destination.

[1618] "Restaurant" means a place for serving food.

[1619] "Delivery options" refers to the means or methods by which meals are delivered to a location and time specified by the user.

[1620] "Artificial intelligence algorithms" refer to computational methods used to identify the best accommodation, transportation, restaurant and delivery options based on your criteria.

[1621] "Reservation Process" means the process by which a User confirms the availability of their selected accommodation, transportation, restaurant and delivery options.

[1622] "Notification" refers to the act of informing a user of the results of a reservation procedure or other important information.

[1623] MODE FOR CARRYING OUT THE INVENTION

[1624] The present invention is a system that allows users to centrally plan their travel and dining plans. This system can be implemented using devices such as smartphones, tablets, and PCs. Specifically, the system allows users to input travel or dining requirements, and based on those requirements, it suggests optimal accommodations, transportation, restaurants, and delivery options, and allows users to make reservations and orders.

[1625] System Program

[1626] The system mainly consists of the following components:

[1627] User device: A device that can connect to the internet, such as a smartphone or tablet.

[1628] Server: A device that uses databases and AI algorithms to search, suggest, and reserve the best options based on the user's criteria.

[1629] Database: A system that stores information about accommodation, transportation, restaurants, and delivery options.

[1630] Program processing

[1631] 1. User inputs conditions

[1632] The user inputs travel or dining requirements (destination, date, number of people, budget, distance, transportation or delivery method) using a terminal. These requirements are sent to the server in JSON format.

[1633] 2. Data Reception and Analysis

[1634] The server receives the conditions sent from the device and analyzes the data. Specifically, it decodes the JSON format data and extracts the necessary parameters.

[1635] 3. Generating search queries

[1636] The server generates a search query based on the extracted parameters, the search query covering accommodation, transportation, restaurant and delivery options in the database.

[1637] 4. Searching and filtering options

[1638] The server uses artificial intelligence algorithms to search the database and identify available options that match your criteria, using AI frameworks like TensorFlow and PyTorch to suggest the best options.

[1639] 5. Providing search results

[1640] The server encodes the search results in JSON format and sends them to the user's device as an HTTP response, where the user can select the desired option from the displayed list.

[1641] 6. Reservation and Order Process

[1642] Based on the options selected by the user, the device sends reservation and ordering information back to the server, which then uses this information to process reservations for the accommodations, transportation, restaurants, and delivery options.

[1643] 7. Booking completion and notification

[1644] The server generates reservation confirmation information and notifies the user's terminal, which displays this information and notifies the user that the reservation has been completed.

[1645] Specific examples

[1646] For example, suppose a user requests "Italian" dinner for three people on "October 15, 2023, 7:00 PM," with a budget of 3,000 yen per person, and selects delivery by car. In this case, the user enters these conditions using their device and sends them to the server. Based on the received information, the server uses an AI algorithm to search for restaurants and delivery options that meet the conditions. Appropriate candidates are displayed as search results, and the user selects the desired restaurant from the list and taps the "Book Now" button. This operation causes the server to call the restaurant's reservation system API to confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device.

[1647] Prompt Sentence Examples

[1648] The user is looking for dinner at an Italian restaurant for three people at 7:00 PM on October 15, 2023, with a budget of 3,000 yen per person. The user also wants delivery by car.

[1649] In this way, a system can be realized that allows users to easily and efficiently manage travel and meal plans in one place.

[1650] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1651] Step 1:

[1652] Conditions entered by the user

[1653] The user uses the terminal to input the travel or dining destination, date, number of people, budget, distance, transportation method or delivery method. The input conditions are encoded in JSON format. This enables searches based on the conditions. Input data: destination, date, number of people, budget, distance, transportation method or delivery method. Output data: condition data in JSON format.

[1654] Step 2:

[1655] Conditional reception and analysis by the server

[1656] The server receives the JSON formatted condition data sent by the device. The server decodes this data and extracts the necessary parameters. This generates a search query based on the user's requirements. Input data: JSON formatted condition data. Output data: Extracted parameters.

[1657] Step 3:

[1658] Server-generated search queries

[1659] The server uses the extracted parameters to generate a search query for accommodation, transportation, restaurants and delivery options, ready to query the database. Input data: extracted parameters. Output data: search query.

[1660] Step 4:

[1661] Server-based option search and determination

[1662] The server uses the generated search query to search its database. It uses artificial intelligence algorithms to identify the accommodation, transportation, restaurant and delivery options that best fit the user's criteria. AI frameworks such as TensorFlow and PyTorch are used here. The search results are filtered to select the best options. Input data: search query. Output data: list of options that match the criteria.

[1663] Step 5:

[1664] Server provides search results

[1665] The server encodes the option list that matches the conditions into JSON format and sends it to the user's device as an HTTP response, allowing the user to confirm the options. Input data: Option list that matches the conditions. Output data: Option list in JSON format.

[1666] Step 6:

[1667] User selects an option

[1668] The user selects the desired accommodation, transportation, restaurant, and delivery options from the option list displayed on the terminal. The selected options are again encoded in JSON format and sent to the server. Input data: Options selected by the user. Output data: Reservation information in JSON format.

[1669] Step 7:

[1670] Server executes reservation procedure

[1671] The server processes the reservation for each accommodation, transportation, restaurant, and delivery option based on the received reservation information. This includes calling external APIs. Once the reservation is confirmed, the server generates the reservation result. Input data: Reservation information in JSON format. Output data: Reservation result.

[1672] Step 8:

[1673] Server notification of reservation completion

[1674] The server generates a notification indicating that the reservation has been completed and sends it to the user's device. The device receives this information and notifies the user that the reservation has been confirmed. Input data: Reservation result. Output data: Reservation completion notification.

[1675] 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.

[1676] The present invention combines a system in which a user inputs travel conditions such as destination, date, number of people, budget, distance, and transportation, and a server searches for the most suitable accommodation and transportation based on these conditions, and even makes reservations, with an emotion engine that recognizes the user's emotions. This makes it possible to make travel suggestions according to the user's emotional state, improving travel satisfaction.

[1677] Program processing explanation

[1678] 1. Enter conditions and send

[1679] When a user opens the "Tabikon" app on their device, an emotion engine runs in the background to recognize the user's emotional state from their facial expressions and voice.

[1680] The user inputs travel conditions, including the destination, date, number of people, budget, distance, and means of transportation, and the device transmits these conditions along with emotion data to the server.

[1681] 2. Receiving and parsing conditions

[1682] The server analyzes the received condition and emotion data, decodes the data entered by the user, and extracts the necessary parameters and emotion data.

[1683] The server generates a search query based on the required parameters, which also takes emotion data into account.

[1684] 3. Finding accommodation and transportation

[1685] The server searches its database to find accommodation and transportation options that match the user's requirements and emotions, using artificial intelligence algorithms to identify the best options based on the user's emotional state.

[1686] The server filters the search results and generates a list of available options.

[1687] 4. Providing search results

[1688] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[1689] The device analyzes the received data and displays a list to the user, which reflects the user's emotions.

[1690] 5. Booking procedure

[1691] The user selects accommodation and transportation and enters information for reservation, which the terminal then sends to the server.

[1692] Based on the reservation information received by the server, the reservation system APIs for accommodation and transportation are called to complete the reservation process.

[1693] 6. Booking completion and notification

[1694] The server generates the reservation confirmation information and notifies the user's device. The display format may also be customized based on the user's emotions.

[1695] The terminal receives the confirmation information and displays it to the user, who is notified that the reservation is complete.

[1696] Specific examples

[1697] For example, suppose a user's goal is "relaxation," and they set the date as "three days from January 10, 2023," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the means of transportation as "bus." In this case, the user enters these conditions using their device and sends them to the server. The emotion engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends it to the server.

[1698] Based on the received information and emotional data, the server uses an AI algorithm to prioritize and provide options with a strong healing element and comprehensive relaxation programs, such as a resort hotel with a spa or a quiet mountain lodge.

[1699] The user selects the desired accommodation from the list and taps the "Book" button. This action causes the server to call the accommodation's reservation system API and confirm the reservation. Finally, a notification indicating that the reservation has been completed is displayed on the user's device, completing a travel plan that perfectly suits their desire to relax.

[1700] In this way, users can easily and efficiently plan their trips and book accommodations and transportation all in one place, and the system can improve their travel satisfaction through personalized suggestions provided by the emotion engine.

[1701] The processing flow will be explained below.

[1702] Step 1:

[1703] When a user opens the Tabikon app on their device, an emotion engine that analyzes the user's facial expressions and voice runs in the background.

[1704] Step 2:

[1705] The user inputs travel conditions, including the destination, date, number of people, budget, distance, and mode of transportation. The device collects emotional data (e.g., stress and happiness) in parallel with the user's input of conditions.

[1706] Step 3:

[1707] The device sends the input conditions and emotion data to the server. The data is encoded in JSON format or similar and sent to the server as an HTTP request.

[1708] Step 4:

[1709] The server analyzes the received condition and emotion data, and extracts the necessary parameters and emotion information from the decoded data.

[1710] Step 5:

[1711] The server generates a search query based on the required parameters, taking into account sentiment data as well, for example prioritizing accommodations with relaxation features for a stressed user.

[1712] Step 6:

[1713] The server searches its database to find accommodations and transportation options that match the user's criteria and emotions, using artificial intelligence algorithms to identify the options that best suit the user's emotional state.

[1714] Step 7:

[1715] The server filters the search results to generate a list of available options, ranking the recommendations according to the user's emotional state.

[1716] Step 8:

[1717] The server sends a list of available options to the user's device, encoded in a format such as JSON, and sent as an HTTP response.

[1718] Step 9:

[1719] The device analyzes the received data and displays a list to the user, which takes into consideration the user's emotions (e.g., if you need to relax, hotels with spas will be displayed first).

[1720] Step 10:

[1721] The user selects accommodation and transportation and enters the information for reservation. The terminal sends the reservation information to the server.

[1722] Step 11:

[1723] The server receives the reservation information and calls the accommodation and transportation reservation system APIs to complete the reservation process.

[1724] Step 12:

[1725] The server generates reservation confirmation information and notifies the user's terminal. The server converts the information obtained from the accommodation and transportation reservation systems into a format that is easy for the user to understand.

[1726] Step 13:

[1727] The device receives the confirmation and displays it to the user, who is notified that the reservation has been completed. The content of the notification may also be customized to take into account the user's emotional state.

[1728] Example 2

[1729] 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."

[1730] Conventional travel reservation systems simply search for and display accommodations and transportation options based on user input, making it difficult to provide personalized suggestions based on the user's emotional state and improving travel satisfaction. Furthermore, there is no way to aggregate real-time updates from multiple accommodations and transportation options, which reduces the reliability of reservations.

[1731] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for recognizing emotion data from the user's facial expression or voice, means for receiving the conditions and emotion data and accessing a database to generate a search query, and means for aggregating availability information from multiple accommodations and transportation modes and updating it in real time. This enables personalized suggestions based on the user's emotional state, improving travel satisfaction and further increasing the reliability of reservations.

[1732] "User" refers to a person who inputs travel conditions and emotional data and selects accommodation and transportation.

[1733] "Conditions" refers to information such as the travel destination, date, number of people, budget, distance, and means of transportation entered by the user.

[1734] "Emotion data" refers to the emotional state recognized by analyzing the user's facial expressions and voice.

[1735] "Server" refers to a device that receives user-entered criteria and emotion data, generates search queries, searches for accommodations and transportation options, and manages the reservation process.

[1736] "Database" refers to a collection of data containing information about accommodation and transportation options.

[1737] A "search query" refers to a search query generated based on a user's criteria and emotion data.

[1738] "Accommodation facilities" refers to facilities such as hotels, inns, and guesthouses where users can stay.

[1739] "Transportation" refers to the means of transportation used by the user when traveling, including trains, buses, airplanes, etc.

[1740] "List" refers to a list of accommodations and transportation options presented to a user as a search result.

[1741] "Reservation procedure" refers to the series of processes for actually booking the accommodation and transportation selected by the user.

[1742] "Notification" refers to information that informs the user of the results of the reservation procedure.

[1743] "Artificial Intelligence Algorithm" refers to the algorithm used by the Server to identify the most suitable accommodation and transportation options based on the User's requirements and emotional data.

[1744] The present invention is a system that combines an emotion engine that recognizes the user's emotions with a system in which a user inputs travel requirements, a server searches for the most suitable accommodations and transportation options based on those requirements, and even allows the user to make reservations. This makes it possible to make travel suggestions that correspond to the user's emotional state, improving travel satisfaction.

[1745] System configuration

[1746] The system includes the following hardware and software:

[1747] User device: smartphone, tablet, or computer

[1748] Server: Cloud server, database server

[1749] Emotion engine: facial expression recognition software, voice analysis software

[1750] AI algorithms: algorithms for generating search queries and determining the best accommodation and transportation options

[1751] Program processing explanation

[1752] The user launches the "Tabikon" app using a device (smartphone, tablet, PC, etc.). The device's built-in camera and microphone automatically activate, and the emotion engine recognizes the user's facial expressions and voice. The user then enters the travel destination, date, number of people, budget, distance, and mode of transportation on the app's interface. The device encodes these input conditions and emotion data in JSON format and sends it to the server via the HTTP protocol.

[1753] The server decodes the received data and extracts travel conditions and emotion data. Based on the extracted data, it generates a query to search for accommodation and transportation options, and the search query also takes emotion data into account. The server searches a database to find suitable accommodation and transportation options based on the user's input conditions and emotion state. It filters the search results and generates a list of available options.

[1754] The server again encodes the generated list in JSON format and sends it to the user's device as an HTTP response. The device analyzes the received data and displays the list to the user. The user selects the desired accommodation and transportation method from the displayed list and enters the reservation information on the device. The device again sends the reservation information to the server, and the server calls the accommodation and transportation reservation system APIs based on the received reservation information to complete the reservation process. Finally, the server generates confirmed reservation information and sends it to the user's device. The device displays the received confirmed information to the user.

[1755] Specific examples

[1756] For example, suppose a user's goal is "relaxation," and they set the date as "three days from January 10, 2023," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the means of transportation as "bus." The user enters these conditions using their device and sends them to the server. At the same time, the emotion engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends that data to the server.

[1757] Based on the received information and emotional data, the server uses an AI algorithm to search and provide options that prioritize soothing accommodations and those with comprehensive relaxation programs. For example, a resort hotel with a spa or a quiet mountain lodge may be listed as options. The user selects the desired accommodation from this list and proceeds with the reservation process. Finally, a notification is displayed on the user's device indicating that the reservation has been completed.

[1758] Example prompt for a generative AI model:

[1759] Please provide a trip proposal that meets the following criteria. Please be specific and include a detailed itinerary:

[1760] Destination: Hot spring resort

[1761] Date: May 1st to 4th, 2023

[1762] Number of people: 2 people

[1763] Budget: 60,000 yen per person

[1764] Distance: Within 300km

[1765] Transportation: train

[1766] Also, users have the emotion of wanting to relax. Please suggest travel plans that correspond to their emotions.

[1767] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1768] Step 1: Launch the app

[1769] When the user launches the Tabikon app on their device, the device's camera and microphone are automatically activated and the emotion engine begins running in the background.

[1770] Input: The user launches the app.

[1771] Output: The camera and microphone are activated and the emotion engine begins to operate.

[1772] Step 2: Enter conditions

[1773] The user enters the travel destination, date, number of people, budget, distance, and transportation method on the app interface. For example, "Destination: Kyoto," "Date: May 1st to 3 days, 2023," and "Number of people: 2."

[1774] Input: The user enters the travel conditions (destination, date, number of people, budget, distance, and means of transportation).

[1775] Output: The input condition data.

[1776] Step 3: Recognize and transmit emotion data

[1777] The device uses a camera and microphone to analyze the user's facial expressions and voice, recognizing emotional data. The emotion engine then identifies the user's emotional state, such as "I want to relax" or "I'm excited."

[1778] Input: User's facial and voice data.

[1779] Output: Recognized emotion data.

[1780] Step 4: Sending data

[1781] The terminal encodes the input condition data and emotion data in JSON format and sends it to the server via the HTTP protocol.

[1782] Input: Condition data and emotion data.

[1783] Output: Data encoded in JSON format.

[1784] Step 5: Receiving and analyzing data

[1785] The server decodes the received data and extracts the condition data and emotion data.

[1786] Input: Data encoded in JSON format.

[1787] Output: Condition data and emotion data.

[1788] Step 6: Generating a search query

[1789] The server generates a search query based on the condition data and emotion data. For example, if the user's emotional state is "I want to relax," a query reflecting that emotion is generated.

[1790] Input: Condition data and emotion data.

[1791] Output: The search query.

[1792] Step 7: Search the database

[1793] The server searches its database for accommodation and transportation options that match the user's criteria and sentiment, using AI algorithms to identify the best options.

[1794] Input: Search query.

[1795] Output: Search result data.

[1796] Step 8: Filtering the results and generating a list

[1797] The server filters the search results to generate a list of available options that reflects the user's emotional state.

[1798] Input: Search result data.

[1799] Output: A list of available options.

[1800] Step 9: Submit the list

[1801] The server encodes the generated list in JSON format and sends it to the user's device as an HTTP response.

[1802] Input: A list of available options.

[1803] Output: List data encoded in JSON format.

[1804] Step 10: View the list

[1805] The device decodes the received data and displays a list to the user, which reflects the user's emotional state.

[1806] Input: List data encoded in JSON format.

[1807] Output: The displayed list.

[1808] Step 11: Select your booking options

[1809] The user selects accommodation and transportation from the displayed list and enters the information for booking. For example, the user selects "a hotel with a relaxing spa."

[1810] Input: User selection and reservation information.

[1811] Output: Selected accommodation and transportation data.

[1812] Step 12: Submit reservation information

[1813] The terminal encodes the reservation information entered by the user in JSON format and sends it to the server via the HTTP protocol.

[1814] Input: Reservation information.

[1815] Output: Reservation data encoded in JSON format.

[1816] Step 13: Call the booking system API

[1817] Based on the reservation information received by the server, the reservation system APIs for accommodation and transportation are called to complete the reservation process.

[1818] Input: Reservation data encoded in JSON format.

[1819] Output: Confirmed reservation data.

[1820] Step 14: Generate and notify booking confirmation

[1821] The server generates a confirmation of the reservation and sends it to the user's device, including the reservation details and a confirmation number.

[1822] Input: Confirmed reservation data.

[1823] Output: Confirmed information for notification.

[1824] Step 15: View Confirmed Information

[1825] The device decodes the received confirmation information and displays it to the user in a format that is customized according to the user's emotional state.

[1826] Input: Confirmed information.

[1827] Output: The displayed confirmation information.

[1828] (Application example 2)

[1829] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1830] Conventional travel planning systems have been unable to provide personalized travel suggestions that reflect the user's emotions, and have therefore been unable to sufficiently increase user satisfaction. Furthermore, they lacked a means to provide interactive travel planning within a virtual environment, making it difficult for users to select the optimal travel plan that takes into account their emotions and special needs.

[1831] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1832] In this invention, the server includes means for prompting a user to input travel conditions including travel destination, date, number of people, budget, distance, and means of transportation, means for receiving the conditions and accessing a database to generate a search query, means for searching for accommodations and transportations based on the search query and identifying available options, means for presenting a list of the available options to the user, means for booking the accommodations and transportations selected by the user, means for notifying the user of the results of the booking procedure, means for recognizing the user's emotions and receiving and analyzing emotion data along with the input conditions, means for proposing optimal accommodations and transportations taking the emotion data into consideration, and means for proposing a travel plan in a virtual environment and interactively presenting it to the user. This makes it possible to provide a personalized travel plan based on the user's emotions, realize interactive travel planning in a virtual environment, and improve user travel satisfaction.

[1833] A "user" is a person who inputs travel requirements and whose emotional data is analyzed by the emotion recognition engine.

[1834] "Travel destination, date, number of people, budget, distance, and means of transportation" are the basic conditions a user needs to make a travel plan.

[1835] "Conditions" are information that a user inputs when planning a trip, and include the trip destination, date, number of people, budget, distance, and means of transportation.

[1836] "Database" refers to a collection of data that stores information for searching for the best accommodation and transportation options based on the user's input criteria.

[1837] A "search query" is a query generated based on a user's criteria to retrieve the most suitable accommodation and transportation options from a database.

[1838] "Accommodation" means a place where a traveler stays, including hotels, resorts, and guesthouses.

[1839] "Transportation" refers to the means of transportation to a destination in a travel plan, including airplanes, trains, buses, automobiles, etc.

[1840] "Emotion data" is data that indicates the user's emotional state, obtained by the user's emotion recognition engine.

[1841] An "emotion recognition engine" is software or hardware that analyzes emotions from a user's facial expressions and voice and generates emotion data.

[1842] A "virtual environment" is a digital system that allows users to interactively plan their trips within a virtual reality space.

[1843] "Interactive" means that the user can interact with the system in two ways, providing real-time control and feedback.

[1844] "Artificial intelligence algorithms" are machine learning and data analysis techniques used to select optimal accommodation and transportation options based on user requirements and emotional data.

[1845] "Reservation Process" means the series of actions and procedures to formally reserve the accommodation and transportation selected by the User.

[1846] "Notifications" are messages or alerts that inform the User about the outcome of a booking transaction or other important information.

[1847] This invention combines a system in which a user inputs travel conditions such as destination, date, number of people, budget, distance, and means of transportation, and a server searches for the most suitable accommodation and means of transportation based on these inputs, and even completes the reservation, with an emotion engine that recognizes the user's emotions. Detailed embodiments are described below.

[1848] 1. Input condition reception and emotion recognition

[1849] When a user opens a trip planning application on a device, the device provides a means for inputting travel conditions such as the destination, date, number of people, budget, distance, and mode of transportation. For example, the user can input these conditions by voice input or interactive operation within the VR space. At this time, the camera and microphone of the VR headset (e.g., a general-purpose VR headset) are used to analyze the user's face and voice with an emotion recognition engine (e.g., a general-purpose emotion recognition API) to generate emotion data.

[1850] 2. Analyzing and sending condition and emotion data

[1851] The device sends the entered conditions and emotion data to a server. The server receives this data, accesses a database, and generates a search query. The interactive generative AI model (e.g., a general-purpose artificial intelligence algorithm) used here creates the optimal search query based on the conditions and emotion data, and suggests the best accommodation and transportation options for the user.

[1852] 3. Search and Filter

[1853] The server uses the generated search query to search for suitable accommodations and transportation options from a database. It then filters the options based on the user's emotion data and generates a list of available options. For example, if the user indicates a desire to "relax," the server prioritizes resort hotels and accommodations with quiet surroundings that match that emotion.

[1854] 4. Presentation of results and reservations

[1855] The server encodes the list of available options in JSON format or similar and sends it to the user's device as an HTTP response. The device parses the list and presents it to the user as a 3D display in the VR space. The user can then interactively select options and complete the reservation process. The server again receives the user's selection and calls the reservation system APIs of each accommodation and transportation provider to confirm the reservation.

[1856] 5. Booking completion and notification

[1857] Once the reservation process is complete, the server generates reservation confirmation information and notifies the user's device. The device receives the confirmation information and displays a notification in the VR space, allowing the user to confirm that their emotion-based travel plan has been completed.

[1858] Specific examples

[1859] For example, suppose a user's goal is "relaxation," and they specify the date as "three days from the 10th of the next month," the number of people as "one person," the budget as "50,000 yen per person," the distance as "within 200 km," and the mode of transportation as "bus." In this case, the user enters these conditions using their device and sends them to the server. An emotion recognition engine recognizes the emotion of "wanting to relax" from the user's facial expressions and voice, and sends the information to the server. Based on the received information and emotional data, the server uses a general-purpose AI algorithm to prioritize and search for and provide options for accommodations with a strong healing element and comprehensive relaxation programs. For example, a resort hotel with a spa or a quiet mountain inn might be listed as a candidate.

[1860] Prompt Sentence Examples

[1861] As an example, a prompt sentence to be input to a generative AI model can be created as follows:

[1862] This is a service that allows users to plan trips in a VR space. I would like to develop an application that recognizes the user's emotions, suggests optimal travel plans, and even makes reservations. The input information is the travel destination, date, number of people, budget, and transportation, and emotional data is also taken into consideration. A general-purpose emotion recognition API will be used for emotion recognition, the VR space will be built on a general-purpose development platform, and a general-purpose travel plan search system will be used to search for travel plans. As a specific example, if it is recognized that the user is looking for relaxation, please suggest a quiet resort hotel in the mountains. Please also provide specific code.

[1863] In this way, by providing a personalized travel plan based on the user's emotions, the user's travel satisfaction can be improved.

[1864] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1865] Step 1:

[1866] A user opens a trip planning application on a device. Here, the user inputs travel conditions, including the trip destination, date, number of people, budget, distance, and transportation method, by voice or manually. The input conditions are sent to the server along with emotion data obtained from the user's facial expressions and voice by an emotion recognition engine. The input is the user's conditions and emotion data, and the output is a request including the conditions and emotion data.

[1867] Step 2:

[1868] The server accesses the database based on the conditions and emotion data received from the user and generates a search query. When generating a search query for the database, an artificial intelligence algorithm is used to generate a query that also takes emotion data into consideration. The input is the conditions and emotion data, and the output is the search query.

[1869] Step 3:

[1870] The server uses the generated search query to search a database for accommodation and transportation options, identifying options that include quiet accommodations and relaxation programs that correspond to the user's desire for relaxation based on the user's emotional data. The input is the search query, and the output is a list of available accommodation and transportation options.

[1871] Step 4:

[1872] The server encodes the list of available options in JSON format or similar and sends it to the user's device as an HTTP response. The device then parses the received list and presents it to the user as a 3D display in the VR space. The input is a list of available options, and the output is an interactive display on the user's device.

[1873] Step 5:

[1874] The user selects the desired accommodation and transportation from a list of options presented in the VR space and completes the reservation process. Based on the selected options, the user's selection information is sent from the device to the server. The input is the user's selection, and the output is a request containing the selection information.

[1875] Step 6:

[1876] The server calls the reservation system APIs for each accommodation and transportation method based on the received selection information to complete the reservation process. It generates information indicating that the reservation has been confirmed and notifies the user's device. The input is the selection information, and the output is the reservation confirmation information.

[1877] Step 7:

[1878] The user's device analyzes the reservation confirmation information received from the server and displays a notification in the VR space, allowing the user to confirm that the reservation has been completed. The input is the reservation confirmation information, and the output is the notification display.

[1879] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1880] 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.

[1881] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1882] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1883] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1884] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1885] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1886] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1887] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1888] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1889] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1890] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1891] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1892] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1893] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1894] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1895] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1896] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1897] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1898] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1899] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1900] The following is further disclosed regarding the above embodiment.

[1901] (Claim 1)

[1902] A means for allowing a user to input travel conditions including a travel destination, date, number of people, budget, distance, and means of transportation;

[1903] means for receiving the conditions and accessing a database to generate a search query;

[1904] means for conducting an accommodation and transportation search based on said search query to identify available options;

[1905] means for presenting the list of available options to a user;

[1906] means for completing the booking process for the accommodation and transportation selected by the user;

[1907] means for notifying the user of the result of the reservation procedure;

[1908] A system including:

[1909] (Claim 2)

[1910] The system of claim 1 , wherein the search query generation and accommoda...

Claims

1. A means for allowing a user to input travel conditions including a travel destination, date, number of people, budget, distance, and means of transportation; means for receiving the conditions and accessing a database to generate a search query; means for conducting an accommodation and transportation search based on said search query to identify available options; means for presenting the list of available options to a user; means for completing the booking process for the accommodation and transportation selected by the user; means for notifying the user of the result of the reservation procedure; A system including:

2. The system of claim 1 , wherein the search query generation and accommodation identification utilize an artificial intelligence algorithm.

3. 10. The system of claim 1, further comprising means for aggregating and updating availability information from multiple accommodations and transportation modes in real time.

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