System

Abstract

A system is provided.SOLUTION: A system comprising: means for collecting user input; means for transmitting the user input to a server; means for the server to analyze the user input and generate a trip plan using an artificial intelligence module; and means for receiving the generated trip plan from the server and displaying the generated trip plan to a user.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] Planning a trip involves many challenges, such as gathering vast amounts of information, selecting a destination, managing a budget, and arranging transportation and accommodation. These tasks require time and effort, and it is often difficult to gather reliable information, especially when visiting a place for the first time. Therefore, there is a need for an efficient and effective method that allows travelers to easily create optimal travel plans. [Means for solving the problem]

[0005] The present invention provides a system that collects travel information entered by users, transmits it to a server, and generates an optimal travel plan using artificial intelligence on the server side. Specifically, the system includes means for collecting user input, means for transmitting the collected user input to the server, means for the server to analyze the user input and generate a travel plan using an artificial intelligence module, and means for transmitting the generated travel plan from the server to a user terminal and displaying it to the user. This system allows users to easily obtain an optimal travel plan, reduces the complexity of travel planning, and provides a comfortable travel experience.

[0006] "User input" refers to information provided by a traveler, such as travel budget, travel companions, age, destination, number of days of travel, things to do, and mode of transportation.

[0007] "Means" refers to a set of functional units for realizing a specific function or process.

[0008] "Means for collecting" refers to the functions and methods for acquiring information input by the user and passing it on to subsequent processing.

[0009] "Means for transmitting" refers to a communication function for transmitting collected user information to a server.

[0010] "Server" refers to a computer system that receives and analyzes collected user information and provides the computational resources to generate travel plans.

[0011] "Means for analyzing" refers to a function that performs processing to create an optimal travel plan using an artificial intelligence module based on collected user information.

[0012] "Artificial intelligence module" refers to software and algorithms that analyze and infer information collected to generate optimal travel plans.

[0013] "Travel plan" refers to a plan that includes specific travel itineraries, destinations, activities, transportation, accommodation, etc. proposed to travelers.

[0014] "Means for receiving" refers to a communication function for receiving the travel plan sent from the server at the user terminal.

[0015] The "display means" refers to a function for displaying the received travel plan in a form that is easy for the user to understand. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] The present invention is a system that allows users to easily input travel information, generates an optimal travel plan on the server side, and receives and displays the plan on the terminal. This system performs a series of processes: collects user input, transmits it to the server, analyzes it, generates, receives, and displays the travel plan.

[0038] Collecting User Input

[0039] The user uses the device to input detailed information about the trip, including the travel budget, number and age of travel companions, destination, length of trip, desired activities, mode of transportation, etc. The device then compiles this information into a single data set and passes it on to subsequent processing steps.

[0040] Send user information to the server

[0041] The information provided by the user is sent from the device to the server using a communication protocol such as HTTP or HTTPS. The device converts the user-entered data into an appropriate format such as JSON and sends it as a POST request to the specified URL on the server.

[0042] Data analysis and planning by server

[0043] The server receives the data sent by the user and analyzes it. The server has an internal artificial intelligence module that generates the optimal travel plan, including recommended tourist spots to visit, recommended activities, optimal transportation, and accommodations based on the user's interests and budget.

[0044] Receive and view generated itineraries

[0045] The travel plan generated by the server is sent back to the device. The device receives this data and displays it in a format that is easy for the user to understand. Specifically, this includes the daily schedule, activity details, maps of the places visited, and reviews. If the user requests more detailed information about a particular plan, the device can also display more in-depth information in response to that request.

[0046] Specific examples

[0047] For example, suppose a user selects a travel budget of 100,000 yen, two companions, ages 30 and 28, destination Kyoto, travel duration 3 days, things to enjoy such as sightseeing and food, and transportation by train. The device collects this information, converts it into JSON format, and sends it to the server.

[0048] The server receives this data and analyzes it using an artificial intelligence module, which then generates an optimal travel plan, such as the following:

[0049] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0050] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0051] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0052] The device receives this travel plan and displays it to the user as a schedule, where the user can check details such as specific destinations, activities, and travel times.

[0053] As described above, the system of the present invention efficiently implements a series of processes that allow a user to easily create a travel plan and receive the most suitable plan.

[0054] The processing flow will be explained below.

[0055] Step 1:

[0056] The user uses the terminal to input detailed information about the trip, such as the travel budget, the number and ages of people traveling together, the destination, the number of days of the trip, what they want to do, and the means of transportation.

[0057] Step 2:

[0058] The device collects the information entered by the user and stores it as a dictionary-style dataset, where each item (e.g., travel budget, travel companions, age, etc.) is stored as a key-value pair.

[0059] Step 3:

[0060] The device prepares the collected information to be sent to the server, where it converts the data into JSON format and sends it to the server as a POST request using the HTTP or HTTPS protocol.

[0061] Step 4:

[0062] The server receives the user information sent from the terminal. The data sent by the POST request is parsed on the server side into an appropriate data format (e.g., JSON).

[0063] Step 5:

[0064] The server uses an artificial intelligence module to analyze the received user information and generate a travel plan that includes recommended tourist spots, optimal transportation, and suitable accommodations based on the user's budget and preferences.

[0065] Step 6:

[0066] The server sends the generated itinerary back to the device as a JSON response, which includes details such as the daily schedule, places to visit, and recommended activities.

[0067] Step 7:

[0068] The terminal receives the travel plan data sent from the server, analyzes the received data, and prepares it for display in a format that is easy for the user to understand.

[0069] Step 8:

[0070] The device then displays the analyzed travel plan to the user, visually showing the schedule for each day, a map of the places to visit, and reviews, allowing the user to confirm the travel plan.

[0071] In this way, the user, terminal, and server work together to realize a series of processes from inputting travel information to generating an optimal travel plan and displaying it.

[0072] Example 1

[0073] 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."

[0074] In today's world, it is difficult for users to easily create travel plans. Creating a comprehensive plan requires a great deal of time and effort, and requires researching destinations, meals, accommodations, and transportation options one by one. Another problem is that there is no method to automatically generate an optimal travel plan that takes into account various travel conditions (budget, travel companions, interests, etc.). To solve this problem, a method is needed to reduce the burden on users and generate travel plans quickly and efficiently.

[0075] 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.

[0076] In this invention, the server includes means for analyzing user input and generating a travel plan using a generative model, means for receiving the generated travel plan from the server and displaying it to the user, and means for collecting information such as travel budget, number of accompanying people, ages, destination, period, preferences, and means of transportation. This allows the user to easily input travel information and receive an optimal travel plan that is automatically generated.

[0077] "User input" refers to the act of a user inputting information about a trip through a terminal, or the data that is input.

[0078] "Server" is a central processing unit for receiving and analyzing user input and generating itineraries.

[0079] "Generative model" is a general term for algorithms and software that use artificial intelligence technology to analyze data and generate optimal travel plans.

[0080] "Travel plan" refers to a detailed travel schedule or activity plan generated based on a user's requests.

[0081] A "terminal" is a device through which a user inputs information, and includes a personal computer, a smartphone, etc.

[0082] "Analysis" refers to the operation of processing data collected from users and organizing it into information for creating travel plans.

[0083] "Travel budget" refers to the maximum total amount of expenses a user wishes to spend on a trip.

[0084] "Companions" refers to other people accompanying you on a trip, including information such as their number and ages.

[0085] "Destination" refers to a place or city that a user wants to visit for their trip.

[0086] "Period" refers to the number of days or specific dates of the trip.

[0087] "Preferences" refer to the things a user wants to enjoy on a trip and the activities that interest them.

[0088] "Transportation" refers to the means of transportation used during a trip, including trains, buses, airplanes, etc.

[0089] The present invention is a system that allows users to easily input travel information, generates an optimal travel plan on the server side, and receives and displays the plan on the terminal. This system performs a series of processes: collects user input, transmits it to the server, analyzes it, generates, receives, and displays the travel plan.

[0090] Collecting User Input

[0091] The user uses a device to input detailed information about the trip. This information includes the travel budget, number and age of companions, destination, duration of the trip, desired activities, and means of transportation. The device compiles this information into a single data set. The device can be a smartphone, PC, or other device.

[0092] Send user information to the server

[0093] The information provided by the user is sent from the device to the server. HTTP, HTTPS, or other communication protocols are used. The device converts the user-entered data into an appropriate format, such as JSON, and sends it as a POST request to the specified URL on the server. The destination URL might be, for example, https: / / example.com / api / travelplan.

[0094] Data analysis and planning by server

[0095] The server receives the data sent by the user and analyzes it. The server has an internal artificial intelligence (AI) module that generates the optimal travel plan using this module. This AI module uses libraries such as TensorFlow and PyTorch. As a result of the analysis, a schedule is created that includes recommended tourist spots to visit, recommended activities, optimal transportation, and accommodation based on the user's interests and budget.

[0096] Receive and view generated itineraries

[0097] The generated itinerary is then sent back to the device from the server. The device receives this data and displays it in a user-friendly format. This includes daily schedules, activity details, maps of destinations, and reviews. If the user requests more detailed information about a particular itinerary, the device can also display more in-depth information.

[0098] Specific examples

[0099] For example, suppose a user selects a travel budget of 100,000 yen, two companions, ages 30 and 28, destination Kyoto, trip duration 3 days, things to enjoy such as sightseeing and food, and transportation by train. The device collects this information, converts it into JSON format, and sends it to the server.

[0100] The server receives this data and analyzes it using an AI module, which generates an optimal travel plan, such as the following:

[0101] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0102] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0103] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0104] The device receives this travel plan and displays it to the user as a schedule, where the user can check details such as specific destinations, activities, and travel times.

[0105] Prompt Sentence Examples

[0106] An example of a prompt to input to a generative AI model would be:

[0107] Travel budget: 100,000 yen

[0108] Number of companions: 2 people

[0109] Ages of companions: 30 and 28 years old

[0110] Destination: Kyoto

[0111] Trip duration: 3 days

[0112] Things to enjoy: Sightseeing, food

[0113] Means of transportation: train

[0114] As described above, the system of the present invention efficiently implements a series of processes that allow a user to easily create a travel plan and receive the most suitable plan.

[0115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0116] Step 1:

[0117] Collecting User Input

[0118] The user starts up the device and accesses the travel information input screen. The device displays input fields such as travel budget, number of accompanying people and their ages, destination, travel duration, things to do, and transportation method. The user enters the required information in each field and presses the submit button. The device compiles this input information into a single dataset (for example, a JSON-formatted object).

[0119] Input: Travel-related information entered by the user (travel budget, number and age of companions, destination, travel duration, things to do, means of transportation)

[0120] Output: Dataset in JSON format

[0121] Specific operation: The user launches the smartphone app, enters information such as "Travel budget: 100,000 yen" and "Travel companions: 2 people (ages 30 and 28)" into the travel information input screen, and presses the send button.

[0122] Step 2:

[0123] Send user information to the server

[0124] When the terminal confirms that the send button has been pressed, it converts the input data into JSON format. The converted data is then sent to the server using the HTTP or HTTPS protocol. The destination URL is set in advance, for example, https: / / example.com / api / travelplan. The terminal checks the success or failure status of the transmission and displays a message to the user indicating that the transmission has been completed.

[0125] Input: User-supplied data converted to JSON format.

[0126] Output: HTTP / HTTPS request to the server

[0127] Specific operation: The device converts the data entered by the user into JSON format: {"budget": 100000, "companions": [{"age": 30}, {"age": 28}], ...} and sends a POST request to the server.

[0128] Step 3:

[0129] Data analysis and planning by server

[0130] When the server receives the JSON data sent from the device, it analyzes the data. The server has an internal artificial intelligence (AI) module that analyzes the data and generates an optimal travel plan. This analysis creates a schedule that includes tourist spots to visit, recommended activities, optimal transportation, and accommodations based on the user's interests and budget. The generated plan is then saved in JSON format. This AI module uses, for example, TensorFlow or PyTorch.

[0131] Input: JSON format user data received from the device

[0132] Output: JSON formatted travel plan data

[0133] Specific operation: The server passes the received data {"budget": 100000, "companions": [{"age": 30}, {"age": 28}], ...} to the AI ​​module for analysis. The AI ​​generates an optimal travel plan for Kyoto and outputs it in the format of {"day1": {"activity": "Sightseeing at Kiyomizu-dera Temple", "time": "10:00", "lunch": "Famous restaurant"}, ...}.

[0134] Step 4:

[0135] Receive and view generated itineraries

[0136] The server resends the generated itinerary to the device. The device parses the received JSON data and displays it on the screen. This includes the specific schedule, places to visit, and reviews, and the user can review it. If the user requests more information, the device resends the request to the server to retrieve and display the additional information.

[0137] Input: JSON formatted travel plan data received from the server

[0138] Output: Travel plan displayed on the screen

[0139] Specific operation: The device receives travel plan data from the server and displays it in an easy-to-read schedule format for the user: {"day1": {"activity": "Sightseeing at Kiyomizu-dera Temple", "time": "10:00", "lunch": "famous restaurant"}, ...}. It displays it in an easy-to-read format for the user: "Day 1: 10:00 Sightseeing at Kiyomizu-dera Temple, 12:00 Lunch at a famous restaurant."

[0140] (Application example 1)

[0141] 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."

[0142] Conventional travel plan generation systems simply generate and display travel plans based on information entered by users, but do not allow users to experience the attractions and detailed information of travel destinations in real time. Furthermore, there is a lack of a way for users to interactively and visually check travel plans before actually visiting the locations. This can lead to users being unable to fully understand the details of a travel destination and feeling unsure about their decisions during the travel planning stage.

[0143] 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.

[0144] In this invention, the server includes means for collecting user input, means for transmitting the user input to the server, means for the server to analyze the user input and generate a travel plan using an artificial intelligence module, means for receiving the generated travel plan from the server and displaying it to the user, and means for displaying travel plan information in augmented reality using a smart device, thereby allowing the user to experience travel destination information visually and in real time during the travel planning stage and making more specific plans.

[0145] "User input" refers to information provided by the user to generate a travel plan, including travel budget, travel companions, ages, destination, number of travel days, desired activities, and means of transportation.

[0146] The "collection means" is hardware or software for receiving input data from a user on a terminal and recording a set of travel conditions.

[0147] The "transmission means" refers to the communication protocol or device used to transfer the collected user-input data to the server. Specifically, this refers to communication technologies such as HTTP and HTTPS.

[0148] "Means for analyzing" refers to the algorithms or artificial intelligence modules used by the server to process the user input data received and generate a travel plan.

[0149] An "artificial intelligence module" is a software component that automatically generates optimal travel plans tailored to a user's travel conditions based on large amounts of data. An example is a machine learning model.

[0150] A "travel plan" is a specific travel itinerary generated based on conditions presented by a user, and is a schedule that includes tourist spots to visit, means of transportation, sightseeing time, accommodations, and the like.

[0151] The "display means" refers to a device or software interface for presenting the generated travel plan to the user. This applies to smartphone applications and web browsers.

[0152] A "smart device" is an electronic device that is internet-connected and has augmented reality (AR) or virtual reality (VR) capabilities. Examples include smart glasses and head-mounted displays.

[0153] "Augmented reality display" refers to technology that overlays virtual information on the real world, allowing users to experience travel destination information in a realistic and visual way.

[0154] System Overview

[0155] This system collects user input, generates an optimal travel plan on the server side, and displays it in augmented reality (AR) on a smart device, allowing users to visually and interactively check information about their travel destinations from the travel planning stage.

[0156] Hardware and software used

[0157] Hardware:

[0158] Smart devices (e.g., smart glasses, head-mounted displays)

[0159] Server (using cloud services: AWS, Google Cloud Platform, etc.)

[0160] software:

[0161] Frontend: Applications that run on smart devices (e.g. Unity, ARKit, ARCore)

[0162] Backend: Server-side data processing and plan generation (e.g., Python, Node.js, Flask, Express)

[0163] Data analysis: Artificial intelligence modules (e.g. TensorFlow, scikit-learn)

[0164] Communication: Libraries that manage HTTP / HTTPS communication (e.g. axios, requests)

[0165] Flow and processing description

[0166] Collecting User Input

[0167] Users use their smart devices to input travel conditions using voice or gestures, including travel budget, companions, ages, destination, number of days, desired activities, and transportation. This information is converted into JSON format and sent to the server.

[0168] Data analysis and plan generation by the server

[0169] The server analyzes the received JSON data and uses an artificial intelligence module to generate an optimal travel plan, including recommended tourist spots to visit, recommended activities, optimal transportation options, and accommodations based on the user's interests and budget.

[0170] View the generated itinerary

[0171] The generated travel plan is sent from the server to the smart device. The smart device receives this data and displays it to the user using augmented reality (AR) technology. Specifically, detailed information about tourist spots and restaurants corresponding to each step of the travel plan is displayed on smart glasses or a head-mounted display. This allows the user to visually check information about their travel destination in real time.

[0172] Specific examples

[0173] Suppose a user enters the following travel requirements:

[0174] "Two people, one aged 30 and the other aged 28, will travel to Kyoto for three days with a budget of 100,000 yen. They want to enjoy sightseeing and food. They will travel by train."

[0175] The server receives this information, analyzes it, and generates a travel plan, such as the following, which it then sends to the smart device:

[0176] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0177] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0178] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0179] The plan is visualized in AR through smart glasses, allowing users to visually see an overview of their travel destinations. For example, a 3D model of Kiyomizu-dera Temple and information on nearby restaurants are displayed in real time, allowing users to know the details of their travel plans in advance.

[0180] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0181] Step 1:

[0182] The user uses a smart device to input travel conditions. For example, using voice recognition, the user can input travel budget, companions, age, destination, number of days of travel, things they want to do, and transportation. The input information is converted into JSON format by the device. The input is "data collection" and the output is "JSON format data." This data is ready to proceed to the next step.

[0183] Step 2:

[0184] The device sends the collected user input data to the server. At this time, the HTTP / HTTPS protocol is used, and the data is sent as a POST request to the specified URL. The input is "JSON format data," and the output is "data sent to the server successfully." A success response is received on the device side.

[0185] Step 3:

[0186] The server analyzes the received user input data. Specifically, it uses an artificial intelligence module (e.g., TensorFlow or scikit-learn) to analyze the data and generate a travel plan that best suits the user's requirements. The input is "user data in JSON format," and the output is "a generated travel plan." This plan includes places to visit, transportation, activities, accommodation, etc.

[0187] Step 4:

[0188] The server converts the generated travel plan back into JSON format and sends it to the terminal. It is sent as a POST request using the HTTP / HTTPS protocol. The input is the "generated travel plan (JSON format)" and the output is "Data sent to terminal successfully." The server receives a successful response.

[0189] Step 5:

[0190] The terminal displays the received travel plan to the user. At this time, the plan contents are visually displayed using AR technology using a smart device (for example, smart glasses or a head-mounted display). The input is the "received travel plan (JSON format)" and the output is "plan information in augmented reality format displayed to the user." This allows the user to visually check information about their travel destination in real time.

[0191] Step 6:

[0192] Users can check the travel plan displayed on their smart device and request more information as needed. Specifically, they can request additional information, such as 3D models of tourist attractions or restaurant menus, by voice or gesture. The input is the "user request" and the output is the "display of additional information." The device communicates with the server, obtains the required information, and displays it to the user.

[0193] The above are the specific processing steps for carrying out the present invention.

[0194] 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.

[0195] This invention is a travel plan generation system that combines an emotion engine that recognizes the user's emotions. This system collects user input, analyzes the user's emotional state using the emotion engine, generates an optimal travel plan on the server based on that information, and displays the plan to the user on a terminal.

[0196] Collecting User Input

[0197] The user uses the device to input detailed information about the trip, such as the travel budget, number of people traveling together and their ages, destination, number of days, things they want to do, and mode of transportation. Information about the user's current emotional state is also collected. This information is then stored in the device and used for subsequent processing.

[0198] Send user information and emotional state to the server

[0199] The device converts the collected information into JSON format and sends it to the server as a POST request using the HTTP or HTTPS protocol. This includes not only the user's information but also their emotional state as analyzed by the emotion engine.

[0200] Data analysis and planning by server

[0201] The server analyzes the received information. Analysis data from the emotion engine is an important factor in reflecting the user's emotional state. The server generates a travel plan using an AI module, taking into account the user's emotional state as well as their budget and preferences. For example, if the user wants to relax, relaxing tourist spots and activities will be suggested. If the user is excited, active activities will be suggested.

[0202] Receive and view generated itineraries

[0203] The itinerary generated by the server is sent as a JSON response to the device, which receives this data and prepares it for display in a user-friendly format. The itinerary includes details such as a daily schedule, places to visit, and recommended activities.

[0204] Specific examples

[0205] For example, suppose a user selects a travel budget of 150,000 yen, two companions, ages 35 and 32, destination Hokkaido, travel duration 5 days, things they want to enjoy such as skiing and fine dining, and transportation by plane. If the emotion engine further analyzes that the user has a strong desire to relax, the device will collect this information, convert it into JSON format, and send it to the server.

[0206] The server receives this data and generates an optimal travel plan that takes into account the emotional state, resulting in a plan like this:

[0207] Day 1: Arrive in Hokkaido at 10:00, relax at the spa at 12:00, have dinner at a famous restaurant at 18:00

[0208] Day 2: Ski at the ski resort 09:00, lunch at a local cafe 12:00, relax in the hot springs 16:00

[0209] Day 3: Sightseeing 09:00, Local Lunch 12:00

[0210] Day 4: Free plan 9:00, shopping 12:00, relaxing at the hotel 16:00

[0211] Day 5: Prepare for return journey 10:00, head to airport 12:00

[0212] The device receives this travel plan and displays it to the user as a schedule, allowing the user to check details such as specific destinations, activities, and travel times.

[0213] This system allows users to easily create optimal travel plans that match their emotional state and ensure a comfortable travel experience.

[0214] The processing flow will be explained below.

[0215] Step 1:

[0216] The user uses the terminal to input detailed information about the trip, such as the travel budget, the number and ages of people traveling together, the destination, the number of days of the trip, what they want to do, and the means of transportation.

[0217] Step 2:

[0218] In addition to the user's input information, the device collects the user's emotional state, which is analyzed by the emotion engine from additional text and options entered by the user.

[0219] Step 3:

[0220] The device compiles the collected information into a dictionary-style dataset, storing both the travel information and the analyzed emotional state in a single dataset.

[0221] Step 4:

[0222] The device prepares the collected information to be sent to the server: this dataset is converted into JSON format and sent as a POST request to the server using the HTTP or HTTPS protocol.

[0223] Step 5:

[0224] The server receives the user information and emotional state sent from the device. The data sent by the POST request is parsed on the server side into an appropriate data format (e.g., JSON).

[0225] Step 6:

[0226] The server uses an artificial intelligence module to analyze the received user information and generates a travel plan that best suits the user's budget and preferences, taking into account the analysis data from the emotion engine.

[0227] Step 7:

[0228] The server then sends the generated itinerary back to the device as a JSON response, which includes details such as a daily schedule, places to visit, and recommended activities.

[0229] Step 8:

[0230] The terminal receives the travel plan data sent from the server, analyzes the received data, and prepares to display it in a format that is easy for the user to understand.

[0231] Step 9:

[0232] The device then displays the analyzed travel plan to the user, visually showing the schedule for each day, a map of the places to visit, and reviews, allowing the user to confirm the travel plan.

[0233] Example 2

[0234] 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."

[0235] Conventional travel plan generation systems have difficulty considering the user's emotional state, and are therefore unable to provide plans that suit the user's psychological and emotional needs. Furthermore, there is a lack of a method for reflecting optimal choices based on the user's emotional state when generating travel plans. This has resulted in users having to go through the trouble of individually selecting places to relax and activities they want to enjoy, which can lead to a decrease in satisfaction with the travel plan.

[0236] 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 analyzing user input and generating a travel plan using a generative AI model, means for analyzing the user's emotional state, and means for receiving the generated travel plan from the server and displaying it to the user. This not only makes it possible to provide an optimal travel plan based on the user's emotional state, but also makes it possible to automatically generate a plan that reflects selections according to the user's emotions.

[0237] "User input" refers to information provided by a user regarding a trip, including travel budget, number and age of travel companions, destination, length of trip, recreational activities, mode of transportation, and emotional state.

[0238] "Server" refers to a computer system that receives information from a user, analyzes it, generates a travel plan using a generative AI model, and provides the generated plan to the user.

[0239] A "generative AI model" is a model that uses artificial intelligence to generate optimal travel plans based on input data.

[0240] A "travel plan" refers to a plan that includes travel dates and schedules, places to visit, recommended activities, etc.

[0241] "Emotional state" refers to information indicating the psychological state or emotion that the user is currently experiencing, and indicates the user's desire to relax, get excited, have fun, or the like.

[0242] "Analyzing" means processing collected data and converting it into meaningful information.

[0243] The "display means" refers to a device or interface for visually showing the generated travel plan to the user.

[0244] "Travel budget" refers to the amount of money a user plans to spend on a trip.

[0245] "Travel companions" refers to other people joining you on a trip.

[0246] A "destination" refers to a location that a user has selected to visit.

[0247] "Travel Days" means the number of days during which the trip is planned.

[0248] "Things to enjoy" refers to the activities that the user wants to experience during their trip.

[0249] "Transportation" refers to the means of transportation used by the user during the trip.

[0250] The present invention is a travel plan generation system that combines an emotion engine that recognizes the user's emotions. This system uses the following hardware and software components to generate an optimal travel plan based on the user's emotional state and provide it to the user.

[0251] 1. Collecting User Input

[0252] Users input travel information using their own devices (smartphones, tablets, PCs, etc.). The information they input includes travel budget, number of companions and their ages, destination, number of days of travel, things they want to do, means of transportation, and emotional state. This information is stored in one place on the device and used for subsequent processing.

[0253] 2. Send user information and emotional state to the server

[0254] The device converts the collected information into JSON format and sends it as a POST request to the server using the HTTP or HTTPS protocol. For example, the following text prompt can be input to the generative AI model:

[0255] User Information:

[0256] Travel budget: 150,000 yen

[0257] Accompanying persons: 2 people (35 and 32 years old)

[0258] Destination: Hokkaido

[0259] Trip length: 5 days

[0260] Things I like to do: Skiing, fine dining

[0261] Transportation: Plane

[0262] Emotional state: I want to relax

[0263] 3. Data analysis and plan creation by the server

[0264] The server receives and analyzes the received JSON-formatted data. The analysis is performed using an emotion engine and a generative AI model. The emotion engine analyzes the input emotional state and clarifies the user's psychological and emotional needs. The generative AI model generates an optimal travel plan taking into account the user's emotional state, travel budget, number of days, and desired activities.

[0265] 4. Receiving and displaying the generated itinerary

[0266] The generated itinerary is sent to the device as a JSON response. The device receives this data and displays it in a user-friendly format. The itinerary includes detailed information such as daily schedules, places to visit, and recommended activities. This allows the user to check specific destinations, activities, travel times, etc.

[0267] Specific examples

[0268] For example, if the emotion engine analyzes that a user has a travel budget of 150,000 yen, is traveling with two companions (ages 35 and 32), has selected Hokkaido as the destination, five days of travel, skiing and fine dining as the things they want to enjoy, and plans to fly as their mode of transportation, and also has a strong desire to relax, the following travel plan will be generated:

[0269] 1. Day 1: Arrive in Hokkaido at 10:00, relax at the spa facility at 12:00, dinner at a famous restaurant at 18:00

[0270] 2. Day 2: Ski at the ski resort at 9:00, lunch at a local cafe at 12:00, relax in the hot springs at 16:00

[0271] 3. Day 3: Sightseeing tour 9:00, local lunch 12:00

[0272] 4. Day 4: Free plan 9:00, shopping 12:00, relaxing at the hotel 16:00

[0273] 5. Day 5: Prepare for return journey 10:00, head to airport 12:00

[0274] In this way, the present invention can automatically generate and provide an optimal travel plan that matches the user's emotional state, allowing the user to have a comfortable travel experience that is suited to their emotional state.

[0275] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0276] Step 1: Collecting User Input

[0277] The user uses the device to input detailed information about the trip, such as the travel budget, number of people traveling together and their ages, destination, number of days of travel, things to do, transportation, and emotional state. This information is collected through an input form on the device and stored on the device for further processing. The input data is stored in the following text format:

[0278] User Information:

[0279] Travel budget: 150,000 yen

[0280] Accompanying persons: 2 people (35 and 32 years old)

[0281] Destination: Hokkaido

[0282] Trip length: 5 days

[0283] Things I like to do: Skiing, fine dining

[0284] Transportation: Plane

[0285] Emotional state: I want to relax

[0286] Input: Travel information and emotional state entered by the user into the terminal

[0287] Output: User information data stored on the device

[0288] Step 2: Send user information and emotional state to the server

[0289] The device converts the stored user information and emotional state into JSON format and sends the converted data to the server as a POST request using the HTTP or HTTPS protocol. Specifically, it constructs an appropriate request to the endpoint URL and sends it to the server.

[0290] Input: User information data stored on the device

[0291] Output: JSON formatted user information data sent to the server

[0292] Step 3: Data analysis by the server

[0293] The server analyzes the received JSON-formatted data. First, it parses the data and extracts each item. Then, it uses an emotion engine to analyze the user's emotional state and clarify the user's psychological and emotional needs. This analysis information is then used to generate the subsequent travel plan.

[0294] Input: Received user information data in JSON format

[0295] Output: Parsed user information and emotional state data

[0296] Step 4: Generate your travel plan

[0297] The server uses a generative AI model to generate an optimal travel plan based on the analyzed user information and emotional state data. The AI ​​model considers factors such as travel budget, number of days, and desired activities to select activities and places to visit that are appropriate for the user's emotional state.

[0298] Input: Parsed user information and emotional state data

[0299] Output: Generated itinerary data

[0300] Step 5: Submit the generated itinerary

[0301] The server converts the generated travel plan back into JSON format and sends it as a response to the terminal. Specifically, it returns the travel plan data to the endpoint URL as an HTTP response.

[0302] Input: Generated itinerary data

[0303] Output: JSON formatted itinerary data sent to the terminal.

[0304] Step 6: View your travel plans

[0305] The device processes the received JSON-formatted travel plan data and displays it in a user-friendly format. Specifically, it displays the travel plan in a daily schedule format, detailing each activity and travel time. This allows the user to check specific destinations, activities, travel time, etc.

[0306] Input: Received itinerary data in JSON format

[0307] Output: The itinerary displayed to the user

[0308] (Application example 2)

[0309] 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."

[0310] Conventional travel plan generation systems propose plans without considering the user's emotional state, making it difficult to provide the travel experience that the user truly desires.Food delivery services also have the same problem of being unable to make appropriate proposals that reflect the user's emotions and mood, making it difficult to improve user satisfaction.

[0311] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting user input, means for transmitting the user input to the server, means for the server to analyze the user input and generate a travel plan or a food delivery plan using an artificial intelligence module, means for receiving the generated plan from the server and displaying it to the user, and means for analyzing the user's emotional state using an emotion analysis module and making appropriate suggestions based on the analysis results. This makes it possible to provide an optimal plan that reflects the user's emotional state, thereby improving user satisfaction.

[0312] "Means for collecting user input" refers to interfaces through which users can enter travel or food delivery information, including smartphone applications and web forms.

[0313] "Means for transmitting user input to a server" refers to a protocol or API for transmitting collected user input data over a network to a server, specifically using the HTTP or HTTPS protocol.

[0314] "Means for the server to analyze user input and generate travel or food delivery plans using an artificial intelligence module" refers to a software module running on a server that analyzes user input using machine learning and AI algorithms and performs the process of generating the optimal plan.

[0315] "Means for receiving the generated plan from the server and displaying it to the user" refers to software for receiving the plan data sent from the server on a local device and visually displaying it to the user, including smartphone applications and web browsers.

[0316] "Sentiment analysis module" refers to a module that analyzes user input and behavioral data to assess their emotional state, using natural language processing techniques and machine learning models.

[0317] "Means for collecting user's travel budget, travel companions, ages, destination, length of trip, activities, and transportation information" refers to the interface for users to enter trip details, including drop-down menus and text boxes offering options.

[0318] "Artificial Intelligence Module" refers to a software component that uses machine learning algorithms and other AI technologies to analyze data and generate optimal plans.

[0319] "Emotional state" refers to data obtained by analyzing information indicating the mood or emotion at that time from data such as character strings entered by the user.

[0320] "Means for making appropriate suggestions" refers to software that uses sentiment analysis and other user information to suggest optimal travel plans, food delivery plans, etc. for users.

[0321] This paper describes a food delivery system that combines an emotion analysis module that recognizes the user's emotions. The system collects user input, analyzes the user's emotional state using the emotion analysis module, generates an optimal delivery plan on the server based on the information, and displays the plan to the user on the terminal.

[0322] Collecting User Input

[0323] The user uses the device to input detailed information about the delivery, such as the type of food they want to eat and their current emotional state. The device then collects and stores this information. The hardware used in this process is a smartphone or tablet, and the software uses the React Native framework.

[0324] Send user information and emotional state to the server

[0325] The device converts the collected information into JSON format and sends it to the server as a POST request using HTTP or HTTPS. This request includes not only the user information but also the emotional state analyzed by the emotion analysis module. This processing step uses an HTTP client library such as Axios.

[0326] Data analysis and planning by server

[0327] The server analyzes the received information. The analysis data from the sentiment analysis module is an important element to reflect the user's emotional state. Specifically, the sentiment is analyzed using Google Cloud's Natural Language API. On the server side, Node.js and the Express framework are used.

[0328] The AI ​​module takes into account the user's emotional state and generates the optimal delivery plan. For example, if the user wants to relax, it will suggest restaurants that serve healthy food, and if they want to feel energized, it will suggest restaurants that serve spicy food. This is done using the Uber Eats API and DoorDash API.

[0329] Receive and view the generated delivery plan

[0330] The delivery plan generated by the server is sent to the device as a JSON response, which the device receives and prepares to display in a user-friendly format using the React Native framework.

[0331] Specific examples

[0332] For example, suppose a user inputs their current feelings as "I'm tired, so I want some food to relax me." The device collects this information, converts it into JSON format, and sends it to the server. An example of a prompt for the generative AI model could be, "Please analyze the following emotional state: 'I'm tired, so I want some food to relax me.' Based on the results, please recommend a suitable dish or restaurant."

[0333] The server receives this data and generates an optimal delivery plan that takes into account the user's emotional state. For example, it may suggest five restaurants that serve healthy food. The device receives this delivery plan and displays it to the user as a list.

[0334] This system allows users to easily obtain the optimal delivery plan that matches their emotional state, ensuring a satisfying dining experience.

[0335] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0336] Step 1:

[0337] The user starts the application and inputs their emotional state and dietary preferences. The input fields include emotional states (e.g., "I'm tired, so I want something to relax me") and dietary preferences (e.g., "Italian food," "Sushi"). When the user completes the input and presses the send button, this data is saved on the device. The input data is in text format.

[0338] Step 2:

[0339] The device converts the user input data collected in step 1 into JSON format. This data includes emotional state and dietary preferences. The converted JSON data is sent to the server as a POST request using the HTTP or HTTPS protocol. This process uses an HTTP client library such as Axios.

[0340] Step 3:

[0341] The server parses the JSON data received from the device. The parsed data includes the user's emotional state and dietary preferences. The server first sends a request to Google Cloud's Natural Language API to analyze the emotional state and receives the results. The input in this process is text data in JSON format, and the output is the sentiment analysis results.

[0342] Step 4:

[0343] The server understands the user's current mood based on the results of sentiment analysis and then generates optimal suggestions linked to the user's dining preferences. Specifically, if the user is looking to relax, it will recommend restaurants that serve healthy meals and light snacks. To obtain the necessary information, the server sends requests to the Uber Eats API or DoorDash API and receives the responses. The input data are the sentiment analysis results and dining preferences, and the output data is a list of recommended restaurants.

[0344] Step 5:

[0345] The optimal delivery plan (e.g., a list of recommended restaurants) generated by the server is encoded in JSON format and sent to the device. In this processing step, data is sent as an HTTP response to the device. The input data is the list of recommended restaurants, and the output data is the HTTP response from the server to the device.

[0346] Step 6:

[0347] The terminal parses the JSON data received from the server and prepares it to be displayed in a user-friendly format. This data includes a list of recommended restaurants and detailed information about their dishes. The terminal generates UI components to display this information and provides it to the user. The React Native framework is used for display. The input data is a list of recommended restaurants in JSON format, and the output data is what is displayed in the user interface.

[0348] This series of processes enables users to quickly and efficiently obtain the optimal delivery plan based on their emotional state.

[0349] 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.

[0350] 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.

[0351] 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.

[0352] [Second embodiment]

[0353] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0354] 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.

[0355] 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).

[0356] 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.

[0357] 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.

[0358] 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).

[0359] 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.

[0360] 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.

[0361] 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.

[0362] 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.

[0363] 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.

[0364] 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."

[0365] The present invention is a system that allows users to easily input travel information, generates an optimal travel plan on the server side, and receives and displays the plan on the terminal. This system performs a series of processes: collects user input, transmits it to the server, analyzes it, generates, receives, and displays the travel plan.

[0366] Collecting User Input

[0367] The user uses the device to input detailed information about the trip, including the travel budget, number and age of travel companions, destination, length of trip, desired activities, mode of transportation, etc. The device then compiles this information into a single data set and passes it on to subsequent processing steps.

[0368] Send user information to the server

[0369] The information provided by the user is sent from the device to the server using a communication protocol such as HTTP or HTTPS. The device converts the user-entered data into an appropriate format such as JSON and sends it as a POST request to the specified URL on the server.

[0370] Data analysis and planning by server

[0371] The server receives the data sent by the user and analyzes it. The server has an internal artificial intelligence module that generates the optimal travel plan, including recommended tourist spots to visit, recommended activities, optimal transportation, and accommodations based on the user's interests and budget.

[0372] Receive and view generated itineraries

[0373] The travel plan generated by the server is sent back to the device. The device receives this data and displays it in a format that is easy for the user to understand. Specifically, this includes the daily schedule, activity details, maps of the places visited, and reviews. If the user requests more detailed information about a particular plan, the device can also display more in-depth information in response to that request.

[0374] Specific examples

[0375] For example, suppose a user selects a travel budget of 100,000 yen, two companions, ages 30 and 28, destination Kyoto, travel duration 3 days, things to enjoy such as sightseeing and food, and transportation by train. The device collects this information, converts it into JSON format, and sends it to the server.

[0376] The server receives this data and analyzes it using an artificial intelligence module, which then generates an optimal travel plan, such as the following:

[0377] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0378] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0379] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0380] The device receives this travel plan and displays it to the user as a schedule, where the user can check details such as specific destinations, activities, and travel times.

[0381] As described above, the system of the present invention efficiently implements a series of processes that allow a user to easily create a travel plan and receive the most suitable plan.

[0382] The processing flow will be explained below.

[0383] Step 1:

[0384] The user uses the terminal to input detailed information about the trip, such as the travel budget, the number and ages of people traveling together, the destination, the number of days of the trip, what they want to do, and the means of transportation.

[0385] Step 2:

[0386] The device collects the information entered by the user and stores it as a dictionary-style dataset, where each item (e.g., travel budget, travel companions, age, etc.) is stored as a key-value pair.

[0387] Step 3:

[0388] The device prepares the collected information to be sent to the server, where it converts the data into JSON format and sends it to the server as a POST request using the HTTP or HTTPS protocol.

[0389] Step 4:

[0390] The server receives the user information sent from the terminal. The data sent by the POST request is parsed on the server side into an appropriate data format (e.g., JSON).

[0391] Step 5:

[0392] The server uses an artificial intelligence module to analyze the received user information and generate a travel plan that includes recommended tourist spots, optimal transportation, and suitable accommodations based on the user's budget and preferences.

[0393] Step 6:

[0394] The server sends the generated itinerary back to the device as a JSON response, which includes details such as the daily schedule, places to visit, and recommended activities.

[0395] Step 7:

[0396] The terminal receives the travel plan data sent from the server, analyzes the received data, and prepares it for display in a format that is easy for the user to understand.

[0397] Step 8:

[0398] The device then displays the analyzed travel plan to the user, visually showing the schedule for each day, a map of the places to visit, and reviews, allowing the user to confirm the travel plan.

[0399] In this way, the user, terminal, and server work together to realize a series of processes from inputting travel information to generating an optimal travel plan and displaying it.

[0400] Example 1

[0401] 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."

[0402] In today's world, it is difficult for users to easily create travel plans. Creating a comprehensive plan requires a great deal of time and effort, and requires researching destinations, meals, accommodations, and transportation options one by one. Another problem is that there is no method to automatically generate an optimal travel plan that takes into account various travel conditions (budget, travel companions, interests, etc.). To solve this problem, a method is needed to reduce the burden on users and generate travel plans quickly and efficiently.

[0403] 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.

[0404] In this invention, the server includes means for analyzing user input and generating a travel plan using a generative model, means for receiving the generated travel plan from the server and displaying it to the user, and means for collecting information such as travel budget, number of accompanying people, ages, destination, period, preferences, and means of transportation. This allows the user to easily input travel information and receive an optimal travel plan that is automatically generated.

[0405] "User input" refers to the act of a user inputting information about a trip through a terminal, or the data that is input.

[0406] "Server" is a central processing unit for receiving and analyzing user input and generating itineraries.

[0407] "Generative model" is a general term for algorithms and software that use artificial intelligence technology to analyze data and generate optimal travel plans.

[0408] "Travel plan" refers to a detailed travel schedule or activity plan generated based on a user's requests.

[0409] A "terminal" is a device through which a user inputs information, and includes a personal computer, a smartphone, etc.

[0410] "Analysis" refers to the operation of processing data collected from users and organizing it into information for creating travel plans.

[0411] "Travel budget" refers to the maximum total amount of expenses a user wishes to spend on a trip.

[0412] "Companions" refers to other people accompanying you on a trip, including information such as their number and ages.

[0413] "Destination" refers to a place or city that a user wants to visit for their trip.

[0414] "Period" refers to the number of days or specific dates of the trip.

[0415] "Preferences" refer to the things a user wants to enjoy on a trip and the activities that interest them.

[0416] "Transportation" refers to the means of transportation used during a trip, including trains, buses, airplanes, etc.

[0417] The present invention is a system that allows users to easily input travel information, generates an optimal travel plan on the server side, and receives and displays the plan on the terminal. This system performs a series of processes: collects user input, transmits it to the server, analyzes it, generates, receives, and displays the travel plan.

[0418] Collecting User Input

[0419] The user uses a device to input detailed information about the trip. This information includes the travel budget, number and age of companions, destination, duration of the trip, desired activities, and means of transportation. The device compiles this information into a single data set. The device can be a smartphone, PC, or other device.

[0420] Send user information to the server

[0421] The information provided by the user is sent from the device to the server. HTTP, HTTPS, or other communication protocols are used. The device converts the user-entered data into an appropriate format, such as JSON, and sends it as a POST request to the specified URL on the server. The destination URL might be, for example, https: / / example.com / api / travelplan.

[0422] Data analysis and planning by server

[0423] The server receives the data sent by the user and analyzes it. The server has an internal artificial intelligence (AI) module that generates the optimal travel plan using this module. This AI module uses libraries such as TensorFlow and PyTorch. As a result of the analysis, a schedule is created that includes recommended tourist spots to visit, recommended activities, optimal transportation, and accommodation based on the user's interests and budget.

[0424] Receive and view generated itineraries

[0425] The generated itinerary is then sent back to the device from the server. The device receives this data and displays it in a user-friendly format. This includes daily schedules, activity details, maps of destinations, and reviews. If the user requests more detailed information about a particular itinerary, the device can also display more in-depth information.

[0426] Specific examples

[0427] For example, suppose a user selects a travel budget of 100,000 yen, two companions, ages 30 and 28, destination Kyoto, trip duration 3 days, things to enjoy such as sightseeing and food, and transportation by train. The device collects this information, converts it into JSON format, and sends it to the server.

[0428] The server receives this data and analyzes it using an AI module, which generates an optimal travel plan, such as the following:

[0429] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0430] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0431] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0432] The device receives this travel plan and displays it to the user as a schedule, where the user can check details such as specific destinations, activities, and travel times.

[0433] Prompt Sentence Examples

[0434] An example of a prompt to input to a generative AI model would be:

[0435] Travel budget: 100,000 yen

[0436] Number of companions: 2 people

[0437] Ages of companions: 30 and 28 years old

[0438] Destination: Kyoto

[0439] Trip duration: 3 days

[0440] Things to enjoy: Sightseeing, food

[0441] Means of transportation: train

[0442] As described above, the system of the present invention efficiently implements a series of processes that allow a user to easily create a travel plan and receive the most suitable plan.

[0443] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0444] Step 1:

[0445] Collecting User Input

[0446] The user starts up the device and accesses the travel information input screen. The device displays input fields such as travel budget, number of accompanying people and their ages, destination, travel duration, things to do, and transportation method. The user enters the required information in each field and presses the submit button. The device compiles this input information into a single dataset (for example, a JSON-formatted object).

[0447] Input: Travel-related information entered by the user (travel budget, number and age of companions, destination, travel duration, things to do, means of transportation)

[0448] Output: Dataset in JSON format

[0449] Specific operation: The user launches the smartphone app, enters information such as "Travel budget: 100,000 yen" and "Travel companions: 2 people (ages 30 and 28)" into the travel information input screen, and presses the send button.

[0450] Step 2:

[0451] Send user information to the server

[0452] When the terminal confirms that the send button has been pressed, it converts the input data into JSON format. The converted data is then sent to the server using the HTTP or HTTPS protocol. The destination URL is set in advance, for example, https: / / example.com / api / travelplan. The terminal checks the success or failure status of the transmission and displays a message to the user indicating that the transmission has been completed.

[0453] Input: User-supplied data converted to JSON format.

[0454] Output: HTTP / HTTPS request to the server

[0455] Specific operation: The device converts the data entered by the user into JSON format: {"budget": 100000, "companions": [{"age": 30}, {"age": 28}], ...} and sends a POST request to the server.

[0456] Step 3:

[0457] Data analysis and planning by server

[0458] When the server receives the JSON data sent from the device, it analyzes the data. The server has an internal artificial intelligence (AI) module that analyzes the data and generates an optimal travel plan. This analysis creates a schedule that includes tourist spots to visit, recommended activities, optimal transportation, and accommodations based on the user's interests and budget. The generated plan is then saved in JSON format. This AI module uses, for example, TensorFlow or PyTorch.

[0459] Input: JSON format user data received from the device

[0460] Output: JSON formatted travel plan data

[0461] Specific operation: The server passes the received data {"budget": 100000, "companions": [{"age": 30}, {"age": 28}], ...} to the AI ​​module for analysis. The AI ​​generates an optimal travel plan for Kyoto and outputs it in the format of {"day1": {"activity": "Sightseeing at Kiyomizu-dera Temple", "time": "10:00", "lunch": "Famous restaurant"}, ...}.

[0462] Step 4:

[0463] Receive and view generated itineraries

[0464] The server resends the generated itinerary to the device. The device parses the received JSON data and displays it on the screen. This includes the specific schedule, places to visit, and reviews, and the user can review it. If the user requests more information, the device resends the request to the server to retrieve and display the additional information.

[0465] Input: JSON formatted travel plan data received from the server

[0466] Output: Travel plan displayed on the screen

[0467] Specific operation: The device receives travel plan data from the server and displays it in an easy-to-read schedule format for the user: {"day1": {"activity": "Sightseeing at Kiyomizu-dera Temple", "time": "10:00", "lunch": "famous restaurant"}, ...}. It displays it in an easy-to-read format for the user: "Day 1: 10:00 Sightseeing at Kiyomizu-dera Temple, 12:00 Lunch at a famous restaurant."

[0468] (Application example 1)

[0469] 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."

[0470] Conventional travel plan generation systems simply generate and display travel plans based on information entered by users, but do not allow users to experience the attractions and detailed information of travel destinations in real time. Furthermore, there is a lack of a way for users to interactively and visually check travel plans before actually visiting the locations. This can lead to users being unable to fully understand the details of a travel destination and feeling unsure about their decisions during the travel planning stage.

[0471] 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.

[0472] In this invention, the server includes means for collecting user input, means for transmitting the user input to the server, means for the server to analyze the user input and generate a travel plan using an artificial intelligence module, means for receiving the generated travel plan from the server and displaying it to the user, and means for displaying travel plan information in augmented reality using a smart device, thereby allowing the user to experience travel destination information visually and in real time during the travel planning stage and making more specific plans.

[0473] "User input" refers to information provided by the user to generate a travel plan, including travel budget, travel companions, ages, destination, number of travel days, desired activities, and means of transportation.

[0474] The "collection means" is hardware or software for receiving input data from a user on a terminal and recording a set of travel conditions.

[0475] The "transmission means" refers to the communication protocol or device used to transfer the collected user-input data to the server. Specifically, this refers to communication technologies such as HTTP and HTTPS.

[0476] "Means for analyzing" refers to the algorithms or artificial intelligence modules used by the server to process the user input data received and generate a travel plan.

[0477] An "artificial intelligence module" is a software component that automatically generates optimal travel plans tailored to a user's travel conditions based on large amounts of data. An example is a machine learning model.

[0478] A "travel plan" is a specific travel itinerary generated based on conditions presented by a user, and is a schedule that includes tourist spots to visit, means of transportation, sightseeing time, accommodations, and the like.

[0479] The "display means" refers to a device or software interface for presenting the generated travel plan to the user. This applies to smartphone applications and web browsers.

[0480] A "smart device" is an electronic device that is internet-connected and has augmented reality (AR) or virtual reality (VR) capabilities. Examples include smart glasses and head-mounted displays.

[0481] "Augmented reality display" refers to technology that overlays virtual information on the real world, allowing users to experience travel destination information in a realistic and visual way.

[0482] System Overview

[0483] This system collects user input, generates an optimal travel plan on the server side, and displays it in augmented reality (AR) on a smart device, allowing users to visually and interactively check information about their travel destinations from the travel planning stage.

[0484] Hardware and software used

[0485] Hardware:

[0486] Smart devices (e.g., smart glasses, head-mounted displays)

[0487] Server (using cloud services: AWS, Google Cloud Platform, etc.)

[0488] software:

[0489] Frontend: Applications that run on smart devices (e.g. Unity, ARKit, ARCore)

[0490] Backend: Server-side data processing and plan generation (e.g., Python, Node.js, Flask, Express)

[0491] Data analysis: Artificial intelligence modules (e.g. TensorFlow, scikit-learn)

[0492] Communication: Libraries that manage HTTP / HTTPS communication (e.g. axios, requests)

[0493] Flow and processing description

[0494] Collecting User Input

[0495] Users use their smart devices to input travel conditions using voice or gestures, including travel budget, companions, ages, destination, number of days, desired activities, and transportation. This information is converted into JSON format and sent to the server.

[0496] Data analysis and plan generation by the server

[0497] The server analyzes the received JSON data and uses an artificial intelligence module to generate an optimal travel plan, including recommended tourist spots to visit, recommended activities, optimal transportation options, and accommodations based on the user's interests and budget.

[0498] View the generated itinerary

[0499] The generated travel plan is sent from the server to the smart device. The smart device receives this data and displays it to the user using augmented reality (AR) technology. Specifically, detailed information about tourist spots and restaurants corresponding to each step of the travel plan is displayed on smart glasses or a head-mounted display. This allows the user to visually check information about their travel destination in real time.

[0500] Specific examples

[0501] Suppose a user enters the following travel requirements:

[0502] "Two people, one aged 30 and the other aged 28, will travel to Kyoto for three days with a budget of 100,000 yen. They want to enjoy sightseeing and food. They will travel by train."

[0503] The server receives this information, analyzes it, and generates a travel plan, such as the following, which it then sends to the smart device:

[0504] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0505] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0506] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0507] The plan is visualized in AR through smart glasses, allowing users to visually see an overview of their travel destinations. For example, a 3D model of Kiyomizu-dera Temple and information on nearby restaurants are displayed in real time, allowing users to know the details of their travel plans in advance.

[0508] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0509] Step 1:

[0510] The user uses a smart device to input travel conditions. For example, using voice recognition, the user can input travel budget, companions, age, destination, number of days of travel, things they want to do, and transportation. The input information is converted into JSON format by the device. The input is "data collection" and the output is "JSON format data." This data is ready to proceed to the next step.

[0511] Step 2:

[0512] The device sends the collected user input data to the server. At this time, the HTTP / HTTPS protocol is used, and the data is sent as a POST request to the specified URL. The input is "JSON format data," and the output is "data sent to the server successfully." A success response is received on the device side.

[0513] Step 3:

[0514] The server analyzes the received user input data. Specifically, it uses an artificial intelligence module (e.g., TensorFlow or scikit-learn) to analyze the data and generate a travel plan that best suits the user's requirements. The input is "user data in JSON format," and the output is "a generated travel plan." This plan includes places to visit, transportation, activities, accommodation, etc.

[0515] Step 4:

[0516] The server converts the generated travel plan back into JSON format and sends it to the terminal. It is sent as a POST request using the HTTP / HTTPS protocol. The input is the "generated travel plan (JSON format)" and the output is "Data sent to terminal successfully." The server receives a successful response.

[0517] Step 5:

[0518] The terminal displays the received travel plan to the user. At this time, the plan contents are visually displayed using AR technology using a smart device (for example, smart glasses or a head-mounted display). The input is the "received travel plan (JSON format)" and the output is "plan information in augmented reality format displayed to the user." This allows the user to visually check information about their travel destination in real time.

[0519] Step 6:

[0520] Users can check the travel plan displayed on their smart device and request more information as needed. Specifically, they can request additional information, such as 3D models of tourist attractions or restaurant menus, by voice or gesture. The input is the "user request" and the output is the "display of additional information." The device communicates with the server, obtains the required information, and displays it to the user.

[0521] The above are the specific processing steps for carrying out the present invention.

[0522] 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.

[0523] This invention is a travel plan generation system that combines an emotion engine that recognizes the user's emotions. This system collects user input, analyzes the user's emotional state using the emotion engine, generates an optimal travel plan on the server based on that information, and displays the plan to the user on a terminal.

[0524] Collecting User Input

[0525] The user uses the device to input detailed information about the trip, such as the travel budget, number of people traveling together and their ages, destination, number of days, things they want to do, and mode of transportation. Information about the user's current emotional state is also collected. This information is then stored in the device and used for subsequent processing.

[0526] Send user information and emotional state to the server

[0527] The device converts the collected information into JSON format and sends it to the server as a POST request using the HTTP or HTTPS protocol. This includes not only the user's information but also their emotional state as analyzed by the emotion engine.

[0528] Data analysis and planning by server

[0529] The server analyzes the received information. Analysis data from the emotion engine is an important factor in reflecting the user's emotional state. The server generates a travel plan using an AI module, taking into account the user's emotional state as well as their budget and preferences. For example, if the user wants to relax, relaxing tourist spots and activities will be suggested. If the user is excited, active activities will be suggested.

[0530] Receive and view generated itineraries

[0531] The itinerary generated by the server is sent as a JSON response to the device, which receives this data and prepares it for display in a user-friendly format. The itinerary includes details such as a daily schedule, places to visit, and recommended activities.

[0532] Specific examples

[0533] For example, suppose a user selects a travel budget of 150,000 yen, two companions, ages 35 and 32, destination Hokkaido, travel duration 5 days, things they want to enjoy such as skiing and fine dining, and transportation by plane. If the emotion engine further analyzes that the user has a strong desire to relax, the device will collect this information, convert it into JSON format, and send it to the server.

[0534] The server receives this data and generates an optimal travel plan that takes into account the emotional state, resulting in a plan like this:

[0535] Day 1: Arrive in Hokkaido at 10:00, relax at the spa at 12:00, have dinner at a famous restaurant at 18:00

[0536] Day 2: Ski at the ski resort 09:00, lunch at a local cafe 12:00, relax in the hot springs 16:00

[0537] Day 3: Sightseeing 09:00, Local Lunch 12:00

[0538] Day 4: Free plan 9:00, shopping 12:00, relaxing at the hotel 16:00

[0539] Day 5: Prepare for return journey 10:00, head to airport 12:00

[0540] The device receives this travel plan and displays it to the user as a schedule, allowing the user to check details such as specific destinations, activities, and travel times.

[0541] This system allows users to easily create optimal travel plans that match their emotional state and ensure a comfortable travel experience.

[0542] The processing flow will be explained below.

[0543] Step 1:

[0544] The user uses the terminal to input detailed information about the trip, such as the travel budget, the number and ages of people traveling together, the destination, the number of days of the trip, what they want to do, and the means of transportation.

[0545] Step 2:

[0546] In addition to the user's input information, the device collects the user's emotional state, which is analyzed by the emotion engine from additional text and options entered by the user.

[0547] Step 3:

[0548] The device compiles the collected information into a dictionary-style dataset, storing both the travel information and the analyzed emotional state in a single dataset.

[0549] Step 4:

[0550] The device prepares the collected information to be sent to the server: this dataset is converted into JSON format and sent as a POST request to the server using the HTTP or HTTPS protocol.

[0551] Step 5:

[0552] The server receives the user information and emotional state sent from the device. The data sent by the POST request is parsed on the server side into an appropriate data format (e.g., JSON).

[0553] Step 6:

[0554] The server uses an artificial intelligence module to analyze the received user information and generates a travel plan that best suits the user's budget and preferences, taking into account the analysis data from the emotion engine.

[0555] Step 7:

[0556] The server then sends the generated itinerary back to the device as a JSON response, which includes details such as a daily schedule, places to visit, and recommended activities.

[0557] Step 8:

[0558] The terminal receives the travel plan data sent from the server, analyzes the received data, and prepares to display it in a format that is easy for the user to understand.

[0559] Step 9:

[0560] The device then displays the analyzed travel plan to the user, visually showing the schedule for each day, a map of the places to visit, and reviews, allowing the user to confirm the travel plan.

[0561] Example 2

[0562] 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."

[0563] Conventional travel plan generation systems have difficulty considering the user's emotional state, and are therefore unable to provide plans that suit the user's psychological and emotional needs. Furthermore, there is a lack of a method for reflecting optimal choices based on the user's emotional state when generating travel plans. This has resulted in users having to go through the trouble of individually selecting places to relax and activities they want to enjoy, which can lead to a decrease in satisfaction with the travel plan.

[0564] 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 analyzing user input and generating a travel plan using a generative AI model, means for analyzing the user's emotional state, and means for receiving the generated travel plan from the server and displaying it to the user. This not only makes it possible to provide an optimal travel plan based on the user's emotional state, but also makes it possible to automatically generate a plan that reflects selections according to the user's emotions.

[0565] "User input" refers to information provided by a user regarding a trip, including travel budget, number and age of travel companions, destination, length of trip, recreational activities, mode of transportation, and emotional state.

[0566] "Server" refers to a computer system that receives information from a user, analyzes it, generates a travel plan using a generative AI model, and provides the generated plan to the user.

[0567] A "generative AI model" is a model that uses artificial intelligence to generate optimal travel plans based on input data.

[0568] A "travel plan" refers to a plan that includes travel dates and schedules, places to visit, recommended activities, etc.

[0569] "Emotional state" refers to information indicating the psychological state or emotion that the user is currently experiencing, and indicates the user's desire to relax, get excited, have fun, or the like.

[0570] "Analyzing" means processing collected data and converting it into meaningful information.

[0571] The "display means" refers to a device or interface for visually showing the generated travel plan to the user.

[0572] "Travel budget" refers to the amount of money a user plans to spend on a trip.

[0573] "Travel companions" refers to other people joining you on a trip.

[0574] A "destination" refers to a location that a user has selected to visit.

[0575] "Travel Days" means the number of days during which the trip is planned.

[0576] "Things to enjoy" refers to the activities that the user wants to experience during their trip.

[0577] "Transportation" refers to the means of transportation used by the user during the trip.

[0578] The present invention is a travel plan generation system that combines an emotion engine that recognizes the user's emotions. This system uses the following hardware and software components to generate an optimal travel plan based on the user's emotional state and provide it to the user.

[0579] 1. Collecting User Input

[0580] Users input travel information using their own devices (smartphones, tablets, PCs, etc.). The information they input includes travel budget, number of companions and their ages, destination, number of days of travel, things they want to do, means of transportation, and emotional state. This information is stored in one place on the device and used for subsequent processing.

[0581] 2. Send user information and emotional state to the server

[0582] The device converts the collected information into JSON format and sends it as a POST request to the server using the HTTP or HTTPS protocol. For example, the following text prompt can be input to the generative AI model:

[0583] User Information:

[0584] Travel budget: 150,000 yen

[0585] Accompanying persons: 2 people (35 and 32 years old)

[0586] Destination: Hokkaido

[0587] Trip length: 5 days

[0588] Things I like to do: Skiing, fine dining

[0589] Transportation: Plane

[0590] Emotional state: I want to relax

[0591] 3. Data analysis and plan creation by the server

[0592] The server receives and analyzes the received JSON-formatted data. The analysis is performed using an emotion engine and a generative AI model. The emotion engine analyzes the input emotional state and clarifies the user's psychological and emotional needs. The generative AI model generates an optimal travel plan taking into account the user's emotional state, travel budget, number of days, and desired activities.

[0593] 4. Receiving and displaying the generated itinerary

[0594] The generated itinerary is sent to the device as a JSON response. The device receives this data and displays it in a user-friendly format. The itinerary includes detailed information such as daily schedules, places to visit, and recommended activities. This allows the user to check specific destinations, activities, travel times, etc.

[0595] Specific examples

[0596] For example, if the emotion engine analyzes that a user has a travel budget of 150,000 yen, is traveling with two companions (ages 35 and 32), has selected Hokkaido as the destination, five days of travel, skiing and fine dining as the things they want to enjoy, and plans to fly as their mode of transportation, and also has a strong desire to relax, the following travel plan will be generated:

[0597] 1. Day 1: Arrive in Hokkaido at 10:00, relax at the spa facility at 12:00, dinner at a famous restaurant at 18:00

[0598] 2. Day 2: Ski at the ski resort at 9:00, lunch at a local cafe at 12:00, relax in the hot springs at 16:00

[0599] 3. Day 3: Sightseeing tour 9:00, local lunch 12:00

[0600] 4. Day 4: Free plan 9:00, shopping 12:00, relaxing at the hotel 16:00

[0601] 5. Day 5: Prepare for return journey 10:00, head to airport 12:00

[0602] In this way, the present invention can automatically generate and provide an optimal travel plan that matches the user's emotional state, allowing the user to have a comfortable travel experience that is suited to their emotional state.

[0603] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0604] Step 1: Collecting User Input

[0605] The user uses the device to input detailed information about the trip, such as the travel budget, number of people traveling together and their ages, destination, number of days of travel, things to do, transportation, and emotional state. This information is collected through an input form on the device and stored on the device for further processing. The input data is stored in the following text format:

[0606] User Information:

[0607] Travel budget: 150,000 yen

[0608] Accompanying persons: 2 people (35 and 32 years old)

[0609] Destination: Hokkaido

[0610] Trip length: 5 days

[0611] Things I like to do: Skiing, fine dining

[0612] Transportation: Plane

[0613] Emotional state: I want to relax

[0614] Input: Travel information and emotional state entered by the user into the terminal

[0615] Output: User information data stored on the device

[0616] Step 2: Send user information and emotional state to the server

[0617] The device converts the stored user information and emotional state into JSON format and sends the converted data to the server as a POST request using the HTTP or HTTPS protocol. Specifically, it constructs an appropriate request to the endpoint URL and sends it to the server.

[0618] Input: User information data stored on the device

[0619] Output: JSON formatted user information data sent to the server

[0620] Step 3: Data analysis by the server

[0621] The server analyzes the received JSON-formatted data. First, it parses the data and extracts each item. Then, it uses an emotion engine to analyze the user's emotional state and clarify the user's psychological and emotional needs. This analysis information is then used to generate the subsequent travel plan.

[0622] Input: Received user information data in JSON format

[0623] Output: Parsed user information and emotional state data

[0624] Step 4: Generate your travel plan

[0625] The server uses a generative AI model to generate an optimal travel plan based on the analyzed user information and emotional state data. The AI ​​model considers factors such as travel budget, number of days, and desired activities to select activities and places to visit that are appropriate for the user's emotional state.

[0626] Input: Parsed user information and emotional state data

[0627] Output: Generated itinerary data

[0628] Step 5: Submit the generated itinerary

[0629] The server converts the generated travel plan back into JSON format and sends it as a response to the terminal. Specifically, it returns the travel plan data to the endpoint URL as an HTTP response.

[0630] Input: Generated itinerary data

[0631] Output: JSON formatted itinerary data sent to the terminal.

[0632] Step 6: View your travel plans

[0633] The device processes the received JSON-formatted travel plan data and displays it in a user-friendly format. Specifically, it displays the travel plan in a daily schedule format, detailing each activity and travel time. This allows the user to check specific destinations, activities, travel time, etc.

[0634] Input: Received itinerary data in JSON format

[0635] Output: The itinerary displayed to the user

[0636] (Application example 2)

[0637] 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."

[0638] Conventional travel plan generation systems propose plans without considering the user's emotional state, making it difficult to provide the travel experience that the user truly desires.Food delivery services also have the same problem of being unable to make appropriate proposals that reflect the user's emotions and mood, making it difficult to improve user satisfaction.

[0639] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting user input, means for transmitting the user input to the server, means for the server to analyze the user input and generate a travel plan or a food delivery plan using an artificial intelligence module, means for receiving the generated plan from the server and displaying it to the user, and means for analyzing the user's emotional state using an emotion analysis module and making appropriate suggestions based on the analysis results. This makes it possible to provide an optimal plan that reflects the user's emotional state, thereby improving user satisfaction.

[0640] "Means for collecting user input" refers to interfaces through which users can enter travel or food delivery information, including smartphone applications and web forms.

[0641] "Means for transmitting user input to a server" refers to a protocol or API for transmitting collected user input data over a network to a server, specifically using the HTTP or HTTPS protocol.

[0642] "Means for the server to analyze user input and generate travel or food delivery plans using an artificial intelligence module" refers to a software module running on a server that analyzes user input using machine learning and AI algorithms and performs the process of generating the optimal plan.

[0643] "Means for receiving the generated plan from the server and displaying it to the user" refers to software for receiving the plan data sent from the server on a local device and visually displaying it to the user, including smartphone applications and web browsers.

[0644] "Sentiment analysis module" refers to a module that analyzes user input and behavioral data to assess their emotional state, using natural language processing techniques and machine learning models.

[0645] "Means for collecting user's travel budget, travel companions, ages, destination, length of trip, activities, and transportation information" refers to the interface for users to enter trip details, including drop-down menus and text boxes offering options.

[0646] "Artificial Intelligence Module" refers to a software component that uses machine learning algorithms and other AI technologies to analyze data and generate optimal plans.

[0647] "Emotional state" refers to data obtained by analyzing information indicating the mood or emotion at that time from data such as character strings entered by the user.

[0648] "Means for making appropriate suggestions" refers to software that uses sentiment analysis and other user information to suggest optimal travel plans, food delivery plans, etc. for users.

[0649] This paper describes a food delivery system that combines an emotion analysis module that recognizes the user's emotions. The system collects user input, analyzes the user's emotional state using the emotion analysis module, generates an optimal delivery plan on the server based on the information, and displays the plan to the user on the terminal.

[0650] Collecting User Input

[0651] The user uses the device to input detailed information about the delivery, such as the type of food they want to eat and their current emotional state. The device then collects and stores this information. The hardware used in this process is a smartphone or tablet, and the software uses the React Native framework.

[0652] Send user information and emotional state to the server

[0653] The device converts the collected information into JSON format and sends it to the server as a POST request using HTTP or HTTPS. This request includes not only the user information but also the emotional state analyzed by the emotion analysis module. This processing step uses an HTTP client library such as Axios.

[0654] Data analysis and planning by server

[0655] The server analyzes the received information. The analysis data from the sentiment analysis module is an important element to reflect the user's emotional state. Specifically, the sentiment is analyzed using Google Cloud's Natural Language API. On the server side, Node.js and the Express framework are used.

[0656] The AI ​​module takes into account the user's emotional state and generates the optimal delivery plan. For example, if the user wants to relax, it will suggest restaurants that serve healthy food, and if they want to feel energized, it will suggest restaurants that serve spicy food. This is done using the Uber Eats API and DoorDash API.

[0657] Receive and view the generated delivery plan

[0658] The delivery plan generated by the server is sent to the device as a JSON response, which the device receives and prepares to display in a user-friendly format using the React Native framework.

[0659] Specific examples

[0660] For example, suppose a user inputs their current feelings as "I'm tired, so I want some food to relax me." The device collects this information, converts it into JSON format, and sends it to the server. An example of a prompt for the generative AI model could be, "Please analyze the following emotional state: 'I'm tired, so I want some food to relax me.' Based on the results, please recommend a suitable dish or restaurant."

[0661] The server receives this data and generates an optimal delivery plan that takes into account the user's emotional state. For example, it may suggest five restaurants that serve healthy food. The device receives this delivery plan and displays it to the user as a list.

[0662] This system allows users to easily obtain the optimal delivery plan that matches their emotional state, ensuring a satisfying dining experience.

[0663] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0664] Step 1:

[0665] The user starts the application and inputs their emotional state and dietary preferences. The input fields include emotional states (e.g., "I'm tired, so I want something to relax me") and dietary preferences (e.g., "Italian food," "Sushi"). When the user completes the input and presses the send button, this data is saved on the device. The input data is in text format.

[0666] Step 2:

[0667] The device converts the user input data collected in step 1 into JSON format. This data includes emotional state and dietary preferences. The converted JSON data is sent to the server as a POST request using the HTTP or HTTPS protocol. This process uses an HTTP client library such as Axios.

[0668] Step 3:

[0669] The server parses the JSON data received from the device. The parsed data includes the user's emotional state and dietary preferences. The server first sends a request to Google Cloud's Natural Language API to analyze the emotional state and receives the results. The input in this process is text data in JSON format, and the output is the sentiment analysis results.

[0670] Step 4:

[0671] The server understands the user's current mood based on the results of sentiment analysis and then generates optimal suggestions linked to the user's dining preferences. Specifically, if the user is looking to relax, it will recommend restaurants that serve healthy meals and light snacks. To obtain the necessary information, the server sends requests to the Uber Eats API or DoorDash API and receives the responses. The input data are the sentiment analysis results and dining preferences, and the output data is a list of recommended restaurants.

[0672] Step 5:

[0673] The optimal delivery plan (e.g., a list of recommended restaurants) generated by the server is encoded in JSON format and sent to the device. In this processing step, data is sent as an HTTP response to the device. The input data is the list of recommended restaurants, and the output data is the HTTP response from the server to the device.

[0674] Step 6:

[0675] The terminal parses the JSON data received from the server and prepares it to be displayed in a user-friendly format. This data includes a list of recommended restaurants and detailed information about their dishes. The terminal generates UI components to display this information and provides it to the user. The React Native framework is used for display. The input data is a list of recommended restaurants in JSON format, and the output data is what is displayed in the user interface.

[0676] This series of processes enables users to quickly and efficiently obtain the optimal delivery plan based on their emotional state.

[0677] 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.

[0678] 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.

[0679] 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.

[0680] [Third embodiment]

[0681] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0682] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0683] 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).

[0684] 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.

[0685] 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.

[0686] 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).

[0687] 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.

[0688] 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.

[0689] 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.

[0690] 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.

[0691] 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.

[0692] 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."

[0693] The present invention is a system that allows users to easily input travel information, generates an optimal travel plan on the server side, and receives and displays the plan on the terminal. This system performs a series of processes: collects user input, transmits it to the server, analyzes it, generates, receives, and displays the travel plan.

[0694] Collecting User Input

[0695] The user uses the device to input detailed information about the trip, including the travel budget, number and age of travel companions, destination, length of trip, desired activities, mode of transportation, etc. The device then compiles this information into a single data set and passes it on to subsequent processing steps.

[0696] Send user information to the server

[0697] The information provided by the user is sent from the device to the server using a communication protocol such as HTTP or HTTPS. The device converts the user-entered data into an appropriate format such as JSON and sends it as a POST request to the specified URL on the server.

[0698] Data analysis and planning by server

[0699] The server receives the data sent by the user and analyzes it. The server has an internal artificial intelligence module that generates the optimal travel plan, including recommended tourist spots to visit, recommended activities, optimal transportation, and accommodations based on the user's interests and budget.

[0700] Receive and view generated itineraries

[0701] The travel plan generated by the server is sent back to the device. The device receives this data and displays it in a format that is easy for the user to understand. Specifically, this includes the daily schedule, activity details, maps of the places visited, and reviews. If the user requests more detailed information about a particular plan, the device can also display more in-depth information in response to that request.

[0702] Specific examples

[0703] For example, suppose a user selects a travel budget of 100,000 yen, two companions, ages 30 and 28, destination Kyoto, travel duration 3 days, things to enjoy such as sightseeing and food, and transportation by train. The device collects this information, converts it into JSON format, and sends it to the server.

[0704] The server receives this data and analyzes it using an artificial intelligence module, which then generates an optimal travel plan, such as the following:

[0705] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0706] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0707] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0708] The device receives this travel plan and displays it to the user as a schedule, where the user can check details such as specific destinations, activities, and travel times.

[0709] As described above, the system of the present invention efficiently implements a series of processes that allow a user to easily create a travel plan and receive the most suitable plan.

[0710] The processing flow will be explained below.

[0711] Step 1:

[0712] The user uses the terminal to input detailed information about the trip, such as the travel budget, the number and ages of people traveling together, the destination, the number of days of the trip, what they want to do, and the means of transportation.

[0713] Step 2:

[0714] The device collects the information entered by the user and stores it as a dictionary-style dataset, where each item (e.g., travel budget, travel companions, age, etc.) is stored as a key-value pair.

[0715] Step 3:

[0716] The device prepares the collected information to be sent to the server, where it converts the data into JSON format and sends it to the server as a POST request using the HTTP or HTTPS protocol.

[0717] Step 4:

[0718] The server receives the user information sent from the terminal. The data sent by the POST request is parsed on the server side into an appropriate data format (e.g., JSON).

[0719] Step 5:

[0720] The server uses an artificial intelligence module to analyze the received user information and generate a travel plan that includes recommended tourist spots, optimal transportation, and suitable accommodations based on the user's budget and preferences.

[0721] Step 6:

[0722] The server sends the generated itinerary back to the device as a JSON response, which includes details such as the daily schedule, places to visit, and recommended activities.

[0723] Step 7:

[0724] The terminal receives the travel plan data sent from the server, analyzes the received data, and prepares it for display in a format that is easy for the user to understand.

[0725] Step 8:

[0726] The device then displays the analyzed travel plan to the user, visually showing the schedule for each day, a map of the places to visit, and reviews, allowing the user to confirm the travel plan.

[0727] In this way, the user, terminal, and server work together to realize a series of processes from inputting travel information to generating an optimal travel plan and displaying it.

[0728] Example 1

[0729] 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."

[0730] In today's world, it is difficult for users to easily create travel plans. Creating a comprehensive plan requires a great deal of time and effort, and requires researching destinations, meals, accommodations, and transportation options one by one. Another problem is that there is no method to automatically generate an optimal travel plan that takes into account various travel conditions (budget, travel companions, interests, etc.). To solve this problem, a method is needed to reduce the burden on users and generate travel plans quickly and efficiently.

[0731] 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.

[0732] In this invention, the server includes means for analyzing user input and generating a travel plan using a generative model, means for receiving the generated travel plan from the server and displaying it to the user, and means for collecting information such as travel budget, number of accompanying people, ages, destination, period, preferences, and means of transportation. This allows the user to easily input travel information and receive an optimal travel plan that is automatically generated.

[0733] "User input" refers to the act of a user inputting information about a trip through a terminal, or the data that is input.

[0734] "Server" is a central processing unit for receiving and analyzing user input and generating itineraries.

[0735] "Generative model" is a general term for algorithms and software that use artificial intelligence technology to analyze data and generate optimal travel plans.

[0736] "Travel plan" refers to a detailed travel schedule or activity plan generated based on a user's requests.

[0737] A "terminal" is a device through which a user inputs information, and includes a personal computer, a smartphone, etc.

[0738] "Analysis" refers to the operation of processing data collected from users and organizing it into information for creating travel plans.

[0739] "Travel budget" refers to the maximum total amount of expenses a user wishes to spend on a trip.

[0740] "Companions" refers to other people accompanying you on a trip, including information such as their number and ages.

[0741] "Destination" refers to a place or city that a user wants to visit for their trip.

[0742] "Period" refers to the number of days or specific dates of the trip.

[0743] "Preferences" refer to the things a user wants to enjoy on a trip and the activities that interest them.

[0744] "Transportation" refers to the means of transportation used during a trip, including trains, buses, airplanes, etc.

[0745] The present invention is a system that allows users to easily input travel information, generates an optimal travel plan on the server side, and receives and displays the plan on the terminal. This system performs a series of processes: collects user input, transmits it to the server, analyzes it, generates, receives, and displays the travel plan.

[0746] Collecting User Input

[0747] The user uses a device to input detailed information about the trip. This information includes the travel budget, number and age of companions, destination, duration of the trip, desired activities, and means of transportation. The device compiles this information into a single data set. The device can be a smartphone, PC, or other device.

[0748] Send user information to the server

[0749] The information provided by the user is sent from the device to the server. HTTP, HTTPS, or other communication protocols are used. The device converts the user-entered data into an appropriate format, such as JSON, and sends it as a POST request to the specified URL on the server. The destination URL might be, for example, https: / / example.com / api / travelplan.

[0750] Data analysis and planning by server

[0751] The server receives the data sent by the user and analyzes it. The server has an internal artificial intelligence (AI) module that generates the optimal travel plan using this module. This AI module uses libraries such as TensorFlow and PyTorch. As a result of the analysis, a schedule is created that includes recommended tourist spots to visit, recommended activities, optimal transportation, and accommodation based on the user's interests and budget.

[0752] Receive and view generated itineraries

[0753] The generated itinerary is then sent back to the device from the server. The device receives this data and displays it in a user-friendly format. This includes daily schedules, activity details, maps of destinations, and reviews. If the user requests more detailed information about a particular itinerary, the device can also display more in-depth information.

[0754] Specific examples

[0755] For example, suppose a user selects a travel budget of 100,000 yen, two companions, ages 30 and 28, destination Kyoto, trip duration 3 days, things to enjoy such as sightseeing and food, and transportation by train. The device collects this information, converts it into JSON format, and sends it to the server.

[0756] The server receives this data and analyzes it using an AI module, which generates an optimal travel plan, such as the following:

[0757] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0758] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0759] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0760] The device receives this travel plan and displays it to the user as a schedule, where the user can check details such as specific destinations, activities, and travel times.

[0761] Prompt Sentence Examples

[0762] An example of a prompt to input to a generative AI model would be:

[0763] Travel budget: 100,000 yen

[0764] Number of companions: 2 people

[0765] Ages of companions: 30 and 28 years old

[0766] Destination: Kyoto

[0767] Trip duration: 3 days

[0768] Things to enjoy: Sightseeing, food

[0769] Means of transportation: train

[0770] As described above, the system of the present invention efficiently implements a series of processes that allow a user to easily create a travel plan and receive the most suitable plan.

[0771] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0772] Step 1:

[0773] Collecting User Input

[0774] The user starts up the device and accesses the travel information input screen. The device displays input fields such as travel budget, number of accompanying people and their ages, destination, travel duration, things to do, and transportation method. The user enters the required information in each field and presses the submit button. The device compiles this input information into a single dataset (for example, a JSON-formatted object).

[0775] Input: Travel-related information entered by the user (travel budget, number and age of companions, destination, travel duration, things to do, means of transportation)

[0776] Output: Dataset in JSON format

[0777] Specific operation: The user launches the smartphone app, enters information such as "Travel budget: 100,000 yen" and "Travel companions: 2 people (ages 30 and 28)" into the travel information input screen, and presses the send button.

[0778] Step 2:

[0779] Send user information to the server

[0780] When the terminal confirms that the send button has been pressed, it converts the input data into JSON format. The converted data is then sent to the server using the HTTP or HTTPS protocol. The destination URL is set in advance, for example, https: / / example.com / api / travelplan. The terminal checks the success or failure status of the transmission and displays a message to the user indicating that the transmission has been completed.

[0781] Input: User-supplied data converted to JSON format.

[0782] Output: HTTP / HTTPS request to the server

[0783] Specific operation: The device converts the data entered by the user into JSON format: {"budget": 100000, "companions": [{"age": 30}, {"age": 28}], ...} and sends a POST request to the server.

[0784] Step 3:

[0785] Data analysis and planning by server

[0786] When the server receives the JSON data sent from the device, it analyzes the data. The server has an internal artificial intelligence (AI) module that analyzes the data and generates an optimal travel plan. This analysis creates a schedule that includes tourist spots to visit, recommended activities, optimal transportation, and accommodations based on the user's interests and budget. The generated plan is then saved in JSON format. This AI module uses, for example, TensorFlow or PyTorch.

[0787] Input: JSON format user data received from the device

[0788] Output: JSON formatted travel plan data

[0789] Specific operation: The server passes the received data {"budget": 100000, "companions": [{"age": 30}, {"age": 28}], ...} to the AI ​​module for analysis. The AI ​​generates an optimal travel plan for Kyoto and outputs it in the format of {"day1": {"activity": "Sightseeing at Kiyomizu-dera Temple", "time": "10:00", "lunch": "Famous restaurant"}, ...}.

[0790] Step 4:

[0791] Receive and view generated itineraries

[0792] The server resends the generated itinerary to the device. The device parses the received JSON data and displays it on the screen. This includes the specific schedule, places to visit, and reviews, and the user can review it. If the user requests more information, the device resends the request to the server to retrieve and display the additional information.

[0793] Input: JSON formatted travel plan data received from the server

[0794] Output: Travel plan displayed on the screen

[0795] Specific operation: The device receives travel plan data from the server and displays it in an easy-to-read schedule format for the user: {"day1": {"activity": "Sightseeing at Kiyomizu-dera Temple", "time": "10:00", "lunch": "famous restaurant"}, ...}. It displays it in an easy-to-read format for the user: "Day 1: 10:00 Sightseeing at Kiyomizu-dera Temple, 12:00 Lunch at a famous restaurant."

[0796] (Application example 1)

[0797] 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."

[0798] Conventional travel plan generation systems simply generate and display travel plans based on information entered by users, but do not allow users to experience the attractions and detailed information of travel destinations in real time. Furthermore, there is a lack of a way for users to interactively and visually check travel plans before actually visiting the locations. This can lead to users being unable to fully understand the details of a travel destination and feeling unsure about their decisions during the travel planning stage.

[0799] 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.

[0800] In this invention, the server includes means for collecting user input, means for transmitting the user input to the server, means for the server to analyze the user input and generate a travel plan using an artificial intelligence module, means for receiving the generated travel plan from the server and displaying it to the user, and means for displaying travel plan information in augmented reality using a smart device, thereby allowing the user to experience travel destination information visually and in real time during the travel planning stage and making more specific plans.

[0801] "User input" refers to information provided by the user to generate a travel plan, including travel budget, travel companions, ages, destination, number of travel days, desired activities, and means of transportation.

[0802] The "collection means" is hardware or software for receiving input data from a user on a terminal and recording a set of travel conditions.

[0803] The "transmission means" refers to the communication protocol or device used to transfer the collected user-input data to the server. Specifically, this refers to communication technologies such as HTTP and HTTPS.

[0804] "Means for analyzing" refers to the algorithms or artificial intelligence modules used by the server to process the user input data received and generate a travel plan.

[0805] An "artificial intelligence module" is a software component that automatically generates optimal travel plans tailored to a user's travel conditions based on large amounts of data. An example is a machine learning model.

[0806] A "travel plan" is a specific travel itinerary generated based on conditions presented by a user, and is a schedule that includes tourist spots to visit, means of transportation, sightseeing time, accommodations, and the like.

[0807] The "display means" refers to a device or software interface for presenting the generated travel plan to the user. This applies to smartphone applications and web browsers.

[0808] A "smart device" is an electronic device that is internet-connected and has augmented reality (AR) or virtual reality (VR) capabilities. Examples include smart glasses and head-mounted displays.

[0809] "Augmented reality display" refers to technology that overlays virtual information on the real world, allowing users to experience travel destination information in a realistic and visual way.

[0810] System Overview

[0811] This system collects user input, generates an optimal travel plan on the server side, and displays it in augmented reality (AR) on a smart device, allowing users to visually and interactively check information about their travel destinations from the travel planning stage.

[0812] Hardware and software used

[0813] Hardware:

[0814] Smart devices (e.g., smart glasses, head-mounted displays)

[0815] Server (using cloud services: AWS, Google Cloud Platform, etc.)

[0816] software:

[0817] Frontend: Applications that run on smart devices (e.g. Unity, ARKit, ARCore)

[0818] Backend: Server-side data processing and plan generation (e.g., Python, Node.js, Flask, Express)

[0819] Data analysis: Artificial intelligence modules (e.g. TensorFlow, scikit-learn)

[0820] Communication: Libraries that manage HTTP / HTTPS communication (e.g. axios, requests)

[0821] Flow and processing description

[0822] Collecting User Input

[0823] Users use their smart devices to input travel conditions using voice or gestures, including travel budget, companions, ages, destination, number of days, desired activities, and transportation. This information is converted into JSON format and sent to the server.

[0824] Data analysis and plan generation by the server

[0825] The server analyzes the received JSON data and uses an artificial intelligence module to generate an optimal travel plan, including recommended tourist spots to visit, recommended activities, optimal transportation options, and accommodations based on the user's interests and budget.

[0826] View the generated itinerary

[0827] The generated travel plan is sent from the server to the smart device. The smart device receives this data and displays it to the user using augmented reality (AR) technology. Specifically, detailed information about tourist spots and restaurants corresponding to each step of the travel plan is displayed on smart glasses or a head-mounted display. This allows the user to visually check information about their travel destination in real time.

[0828] Specific examples

[0829] Suppose a user enters the following travel requirements:

[0830] "Two people, one aged 30 and the other aged 28, will travel to Kyoto for three days with a budget of 100,000 yen. They want to enjoy sightseeing and food. They will travel by train."

[0831] The server receives this information, analyzes it, and generates a travel plan, such as the following, which it then sends to the smart device:

[0832] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[0833] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[0834] Day 3: Gion walk 9:00, preparations for return trip 12:00

[0835] The plan is visualized in AR through smart glasses, allowing users to visually see an overview of their travel destinations. For example, a 3D model of Kiyomizu-dera Temple and information on nearby restaurants are displayed in real time, allowing users to know the details of their travel plans in advance.

[0836] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0837] Step 1:

[0838] The user uses a smart device to input travel conditions. For example, using voice recognition, the user can input travel budget, companions, age, destination, number of days of travel, things they want to do, and transportation. The input information is converted into JSON format by the device. The input is "data collection" and the output is "JSON format data." This data is ready to proceed to the next step.

[0839] Step 2:

[0840] The device sends the collected user input data to the server. At this time, the HTTP / HTTPS protocol is used, and the data is sent as a POST request to the specified URL. The input is "JSON format data," and the output is "data sent to the server successfully." A success response is received on the device side.

[0841] Step 3:

[0842] The server analyzes the received user input data. Specifically, it uses an artificial intelligence module (e.g., TensorFlow or scikit-learn) to analyze the data and generate a travel plan that best suits the user's requirements. The input is "user data in JSON format," and the output is "a generated travel plan." This plan includes places to visit, transportation, activities, accommodation, etc.

[0843] Step 4:

[0844] The server converts the generated travel plan back into JSON format and sends it to the terminal. It is sent as a POST request using the HTTP / HTTPS protocol. The input is the "generated travel plan (JSON format)" and the output is "Data sent to terminal successfully." The server receives a successful response.

[0845] Step 5:

[0846] The terminal displays the received travel plan to the user. At this time, the plan contents are visually displayed using AR technology using a smart device (for example, smart glasses or a head-mounted display). The input is the "received travel plan (JSON format)" and the output is "plan information in augmented reality format displayed to the user." This allows the user to visually check information about their travel destination in real time.

[0847] Step 6:

[0848] Users can check the travel plan displayed on their smart device and request more information as needed. Specifically, they can request additional information, such as 3D models of tourist attractions or restaurant menus, by voice or gesture. The input is the "user request" and the output is the "display of additional information." The device communicates with the server, obtains the required information, and displays it to the user.

[0849] The above are the specific processing steps for carrying out the present invention.

[0850] 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.

[0851] This invention is a travel plan generation system that combines an emotion engine that recognizes the user's emotions. This system collects user input, analyzes the user's emotional state using the emotion engine, generates an optimal travel plan on the server based on that information, and displays the plan to the user on a terminal.

[0852] Collecting User Input

[0853] The user uses the device to input detailed information about the trip, such as the travel budget, number of people traveling together and their ages, destination, number of days, things they want to do, and mode of transportation. Information about the user's current emotional state is also collected. This information is then stored in the device and used for subsequent processing.

[0854] Send user information and emotional state to the server

[0855] The device converts the collected information into JSON format and sends it to the server as a POST request using the HTTP or HTTPS protocol. This includes not only the user's information but also their emotional state as analyzed by the emotion engine.

[0856] Data analysis and planning by server

[0857] The server analyzes the received information. Analysis data from the emotion engine is an important factor in reflecting the user's emotional state. The server generates a travel plan using an AI module, taking into account the user's emotional state as well as their budget and preferences. For example, if the user wants to relax, relaxing tourist spots and activities will be suggested. If the user is excited, active activities will be suggested.

[0858] Receive and view generated itineraries

[0859] The itinerary generated by the server is sent as a JSON response to the device, which receives this data and prepares it for display in a user-friendly format. The itinerary includes details such as a daily schedule, places to visit, and recommended activities.

[0860] Specific examples

[0861] For example, suppose a user selects a travel budget of 150,000 yen, two companions, ages 35 and 32, destination Hokkaido, travel duration 5 days, things they want to enjoy such as skiing and fine dining, and transportation by plane. If the emotion engine further analyzes that the user has a strong desire to relax, the device will collect this information, convert it into JSON format, and send it to the server.

[0862] The server receives this data and generates an optimal travel plan that takes into account the emotional state, resulting in a plan like this:

[0863] Day 1: Arrive in Hokkaido at 10:00, relax at the spa at 12:00, have dinner at a famous restaurant at 18:00

[0864] Day 2: Ski at the ski resort 09:00, lunch at a local cafe 12:00, relax in the hot springs 16:00

[0865] Day 3: Sightseeing 09:00, Local Lunch 12:00

[0866] Day 4: Free plan 9:00, shopping 12:00, relaxing at the hotel 16:00

[0867] Day 5: Prepare for return journey 10:00, head to airport 12:00

[0868] The device receives this travel plan and displays it to the user as a schedule, allowing the user to check details such as specific destinations, activities, and travel times.

[0869] This system allows users to easily create optimal travel plans that match their emotional state and ensure a comfortable travel experience.

[0870] The processing flow will be explained below.

[0871] Step 1:

[0872] The user uses the terminal to input detailed information about the trip, such as the travel budget, the number and ages of people traveling together, the destination, the number of days of the trip, what they want to do, and the means of transportation.

[0873] Step 2:

[0874] In addition to the user's input information, the device collects the user's emotional state, which is analyzed by the emotion engine from additional text and options entered by the user.

[0875] Step 3:

[0876] The device compiles the collected information into a dictionary-style dataset, storing both the travel information and the analyzed emotional state in a single dataset.

[0877] Step 4:

[0878] The device prepares the collected information to be sent to the server: this dataset is converted into JSON format and sent as a POST request to the server using the HTTP or HTTPS protocol.

[0879] Step 5:

[0880] The server receives the user information and emotional state sent from the device. The data sent by the POST request is parsed on the server side into an appropriate data format (e.g., JSON).

[0881] Step 6:

[0882] The server uses an artificial intelligence module to analyze the received user information and generates a travel plan that best suits the user's budget and preferences, taking into account the analysis data from the emotion engine.

[0883] Step 7:

[0884] The server then sends the generated itinerary back to the device as a JSON response, which includes details such as a daily schedule, places to visit, and recommended activities.

[0885] Step 8:

[0886] The terminal receives the travel plan data sent from the server, analyzes the received data, and prepares to display it in a format that is easy for the user to understand.

[0887] Step 9:

[0888] The device then displays the analyzed travel plan to the user, visually showing the schedule for each day, a map of the places to visit, and reviews, allowing the user to confirm the travel plan.

[0889] Example 2

[0890] 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."

[0891] Conventional travel plan generation systems have difficulty considering the user's emotional state, and are therefore unable to provide plans that suit the user's psychological and emotional needs. Furthermore, there is a lack of a method for reflecting optimal choices based on the user's emotional state when generating travel plans. This has resulted in users having to go through the trouble of individually selecting places to relax and activities they want to enjoy, which can lead to a decrease in satisfaction with the travel plan.

[0892] 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 analyzing user input and generating a travel plan using a generative AI model, means for analyzing the user's emotional state, and means for receiving the generated travel plan from the server and displaying it to the user. This not only makes it possible to provide an optimal travel plan based on the user's emotional state, but also makes it possible to automatically generate a plan that reflects selections according to the user's emotions.

[0893] "User input" refers to information provided by a user regarding a trip, including travel budget, number and age of travel companions, destination, length of trip, recreational activities, mode of transportation, and emotional state.

[0894] "Server" refers to a computer system that receives information from a user, analyzes it, generates a travel plan using a generative AI model, and provides the generated plan to the user.

[0895] A "generative AI model" is a model that uses artificial intelligence to generate optimal travel plans based on input data.

[0896] A "travel plan" refers to a plan that includes travel dates and schedules, places to visit, recommended activities, etc.

[0897] "Emotional state" refers to information indicating the psychological state or emotion that the user is currently experiencing, and indicates the user's desire to relax, get excited, have fun, or the like.

[0898] "Analyzing" means processing collected data and converting it into meaningful information.

[0899] The "display means" refers to a device or interface for visually showing the generated travel plan to the user.

[0900] "Travel budget" refers to the amount of money a user plans to spend on a trip.

[0901] "Travel companions" refers to other people joining you on a trip.

[0902] A "destination" refers to a location that a user has selected to visit.

[0903] "Travel Days" means the number of days during which the trip is planned.

[0904] "Things to enjoy" refers to the activities that the user wants to experience during their trip.

[0905] "Transportation" refers to the means of transportation used by the user during the trip.

[0906] The present invention is a travel plan generation system that combines an emotion engine that recognizes the user's emotions. This system uses the following hardware and software components to generate an optimal travel plan based on the user's emotional state and provide it to the user.

[0907] 1. Collecting User Input

[0908] Users input travel information using their own devices (smartphones, tablets, PCs, etc.). The information they input includes travel budget, number of companions and their ages, destination, number of days of travel, things they want to do, means of transportation, and emotional state. This information is stored in one place on the device and used for subsequent processing.

[0909] 2. Send user information and emotional state to the server

[0910] The device converts the collected information into JSON format and sends it as a POST request to the server using the HTTP or HTTPS protocol. For example, the following text prompt can be input to the generative AI model:

[0911] User Information:

[0912] Travel budget: 150,000 yen

[0913] Accompanying persons: 2 people (35 and 32 years old)

[0914] Destination: Hokkaido

[0915] Trip length: 5 days

[0916] Things I like to do: Skiing, fine dining

[0917] Transportation: Plane

[0918] Emotional state: I want to relax

[0919] 3. Data analysis and plan creation by the server

[0920] The server receives and analyzes the received JSON-formatted data. The analysis is performed using an emotion engine and a generative AI model. The emotion engine analyzes the input emotional state and clarifies the user's psychological and emotional needs. The generative AI model generates an optimal travel plan taking into account the user's emotional state, travel budget, number of days, and desired activities.

[0921] 4. Receiving and displaying the generated itinerary

[0922] The generated itinerary is sent to the device as a JSON response. The device receives this data and displays it in a user-friendly format. The itinerary includes detailed information such as daily schedules, places to visit, and recommended activities. This allows the user to check specific destinations, activities, travel times, etc.

[0923] Specific examples

[0924] For example, if the emotion engine analyzes that a user has a travel budget of 150,000 yen, is traveling with two companions (ages 35 and 32), has selected Hokkaido as the destination, five days of travel, skiing and fine dining as the things they want to enjoy, and plans to fly as their mode of transportation, and also has a strong desire to relax, the following travel plan will be generated:

[0925] 1. Day 1: Arrive in Hokkaido at 10:00, relax at the spa facility at 12:00, dinner at a famous restaurant at 18:00

[0926] 2. Day 2: Ski at the ski resort at 9:00, lunch at a local cafe at 12:00, relax in the hot springs at 16:00

[0927] 3. Day 3: Sightseeing tour 9:00, local lunch 12:00

[0928] 4. Day 4: Free plan 9:00, shopping 12:00, relaxing at the hotel 16:00

[0929] 5. Day 5: Prepare for return journey 10:00, head to airport 12:00

[0930] In this way, the present invention can automatically generate and provide an optimal travel plan that matches the user's emotional state, allowing the user to have a comfortable travel experience that is suited to their emotional state.

[0931] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0932] Step 1: Collecting User Input

[0933] The user uses the device to input detailed information about the trip, such as the travel budget, number of people traveling together and their ages, destination, number of days of travel, things to do, transportation, and emotional state. This information is collected through an input form on the device and stored on the device for further processing. The input data is stored in the following text format:

[0934] User Information:

[0935] Travel budget: 150,000 yen

[0936] Accompanying persons: 2 people (35 and 32 years old)

[0937] Destination: Hokkaido

[0938] Trip length: 5 days

[0939] Things I like to do: Skiing, fine dining

[0940] Transportation: Plane

[0941] Emotional state: I want to relax

[0942] Input: Travel information and emotional state entered by the user into the terminal

[0943] Output: User information data stored on the device

[0944] Step 2: Send user information and emotional state to the server

[0945] The device converts the stored user information and emotional state into JSON format and sends the converted data to the server as a POST request using the HTTP or HTTPS protocol. Specifically, it constructs an appropriate request to the endpoint URL and sends it to the server.

[0946] Input: User information data stored on the device

[0947] Output: JSON formatted user information data sent to the server

[0948] Step 3: Data analysis by the server

[0949] The server analyzes the received JSON-formatted data. First, it parses the data and extracts each item. Then, it uses an emotion engine to analyze the user's emotional state and clarify the user's psychological and emotional needs. This analysis information is then used to generate the subsequent travel plan.

[0950] Input: Received user information data in JSON format

[0951] Output: Parsed user information and emotional state data

[0952] Step 4: Generate your travel plan

[0953] The server uses a generative AI model to generate an optimal travel plan based on the analyzed user information and emotional state data. The AI ​​model considers factors such as travel budget, number of days, and desired activities to select activities and places to visit that are appropriate for the user's emotional state.

[0954] Input: Parsed user information and emotional state data

[0955] Output: Generated itinerary data

[0956] Step 5: Submit the generated itinerary

[0957] The server converts the generated travel plan back into JSON format and sends it as a response to the terminal. Specifically, it returns the travel plan data to the endpoint URL as an HTTP response.

[0958] Input: Generated itinerary data

[0959] Output: JSON formatted itinerary data sent to the terminal.

[0960] Step 6: View your travel plans

[0961] The device processes the received JSON-formatted travel plan data and displays it in a user-friendly format. Specifically, it displays the travel plan in a daily schedule format, detailing each activity and travel time. This allows the user to check specific destinations, activities, travel time, etc.

[0962] Input: Received itinerary data in JSON format

[0963] Output: The itinerary displayed to the user

[0964] (Application example 2)

[0965] 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."

[0966] Conventional travel plan generation systems propose plans without considering the user's emotional state, making it difficult to provide the travel experience that the user truly desires.Food delivery services also have the same problem of being unable to make appropriate proposals that reflect the user's emotions and mood, making it difficult to improve user satisfaction.

[0967] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting user input, means for transmitting the user input to the server, means for the server to analyze the user input and generate a travel plan or a food delivery plan using an artificial intelligence module, means for receiving the generated plan from the server and displaying it to the user, and means for analyzing the user's emotional state using an emotion analysis module and making appropriate suggestions based on the analysis results. This makes it possible to provide an optimal plan that reflects the user's emotional state, thereby improving user satisfaction.

[0968] "Means for collecting user input" refers to interfaces through which users can enter travel or food delivery information, including smartphone applications and web forms.

[0969] "Means for transmitting user input to a server" refers to a protocol or API for transmitting collected user input data over a network to a server, specifically using the HTTP or HTTPS protocol.

[0970] "Means for the server to analyze user input and generate travel or food delivery plans using an artificial intelligence module" refers to a software module running on a server that analyzes user input using machine learning and AI algorithms and performs the process of generating the optimal plan.

[0971] "Means for receiving the generated plan from the server and displaying it to the user" refers to software for receiving the plan data sent from the server on a local device and visually displaying it to the user, including smartphone applications and web browsers.

[0972] "Sentiment analysis module" refers to a module that analyzes user input and behavioral data to assess their emotional state, using natural language processing techniques and machine learning models.

[0973] "Means for collecting user's travel budget, travel companions, ages, destination, length of trip, activities, and transportation information" refers to the interface for users to enter trip details, including drop-down menus and text boxes offering options.

[0974] "Artificial Intelligence Module" refers to a software component that uses machine learning algorithms and other AI technologies to analyze data and generate optimal plans.

[0975] "Emotional state" refers to data obtained by analyzing information indicating the mood or emotion at that time from data such as character strings entered by the user.

[0976] "Means for making appropriate suggestions" refers to software that uses sentiment analysis and other user information to suggest optimal travel plans, food delivery plans, etc. for users.

[0977] This paper describes a food delivery system that combines an emotion analysis module that recognizes the user's emotions. The system collects user input, analyzes the user's emotional state using the emotion analysis module, generates an optimal delivery plan on the server based on the information, and displays the plan to the user on the terminal.

[0978] Collecting User Input

[0979] The user uses the device to input detailed information about the delivery, such as the type of food they want to eat and their current emotional state. The device then collects and stores this information. The hardware used in this process is a smartphone or tablet, and the software uses the React Native framework.

[0980] Send user information and emotional state to the server

[0981] The device converts the collected information into JSON format and sends it to the server as a POST request using HTTP or HTTPS. This request includes not only the user information but also the emotional state analyzed by the emotion analysis module. This processing step uses an HTTP client library such as Axios.

[0982] Data analysis and planning by server

[0983] The server analyzes the received information. The analysis data from the sentiment analysis module is an important element to reflect the user's emotional state. Specifically, the sentiment is analyzed using Google Cloud's Natural Language API. On the server side, Node.js and the Express framework are used.

[0984] The AI ​​module takes into account the user's emotional state and generates the optimal delivery plan. For example, if the user wants to relax, it will suggest restaurants that serve healthy food, and if they want to feel energized, it will suggest restaurants that serve spicy food. This is done using the Uber Eats API and DoorDash API.

[0985] Receive and view the generated delivery plan

[0986] The delivery plan generated by the server is sent to the device as a JSON response, which the device receives and prepares to display in a user-friendly format using the React Native framework.

[0987] Specific examples

[0988] For example, suppose a user inputs their current feelings as "I'm tired, so I want some food to relax me." The device collects this information, converts it into JSON format, and sends it to the server. An example of a prompt for the generative AI model could be, "Please analyze the following emotional state: 'I'm tired, so I want some food to relax me.' Based on the results, please recommend a suitable dish or restaurant."

[0989] The server receives this data and generates an optimal delivery plan that takes into account the user's emotional state. For example, it may suggest five restaurants that serve healthy food. The device receives this delivery plan and displays it to the user as a list.

[0990] This system allows users to easily obtain the optimal delivery plan that matches their emotional state, ensuring a satisfying dining experience.

[0991] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0992] Step 1:

[0993] The user starts the application and inputs their emotional state and dietary preferences. The input fields include emotional states (e.g., "I'm tired, so I want something to relax me") and dietary preferences (e.g., "Italian food," "Sushi"). When the user completes the input and presses the send button, this data is saved on the device. The input data is in text format.

[0994] Step 2:

[0995] The device converts the user input data collected in step 1 into JSON format. This data includes emotional state and dietary preferences. The converted JSON data is sent to the server as a POST request using the HTTP or HTTPS protocol. This process uses an HTTP client library such as Axios.

[0996] Step 3:

[0997] The server parses the JSON data received from the device. The parsed data includes the user's emotional state and dietary preferences. The server first sends a request to Google Cloud's Natural Language API to analyze the emotional state and receives the results. The input in this process is text data in JSON format, and the output is the sentiment analysis results.

[0998] Step 4:

[0999] The server understands the user's current mood based on the results of sentiment analysis and then generates optimal suggestions linked to the user's dining preferences. Specifically, if the user is looking to relax, it will recommend restaurants that serve healthy meals and light snacks. To obtain the necessary information, the server sends requests to the Uber Eats API or DoorDash API and receives the responses. The input data are the sentiment analysis results and dining preferences, and the output data is a list of recommended restaurants.

[1000] Step 5:

[1001] The optimal delivery plan (e.g., a list of recommended restaurants) generated by the server is encoded in JSON format and sent to the device. In this processing step, data is sent as an HTTP response to the device. The input data is the list of recommended restaurants, and the output data is the HTTP response from the server to the device.

[1002] Step 6:

[1003] The terminal parses the JSON data received from the server and prepares it to be displayed in a user-friendly format. This data includes a list of recommended restaurants and detailed information about their dishes. The terminal generates UI components to display this information and provides it to the user. The React Native framework is used for display. The input data is a list of recommended restaurants in JSON format, and the output data is what is displayed in the user interface.

[1004] This series of processes enables users to quickly and efficiently obtain the optimal delivery plan based on their emotional state.

[1005] 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.

[1006] 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.

[1007] 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.

[1008] [Fourth embodiment]

[1009] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1010] 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.

[1011] 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).

[1012] 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.

[1013] 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.

[1014] 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).

[1015] 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.

[1016] 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.

[1017] 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.

[1018] 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.

[1019] 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.

[1020] 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.

[1021] 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."

[1022] The present invention is a system that allows users to easily input travel information, generates an optimal travel plan on the server side, and receives and displays the plan on the terminal. This system performs a series of processes: collects user input, transmits it to the server, analyzes it, generates, receives, and displays the travel plan.

[1023] Collecting User Input

[1024] The user uses the device to input detailed information about the trip, including the travel budget, number and age of travel companions, destination, length of trip, desired activities, mode of transportation, etc. The device then compiles this information into a single data set and passes it on to subsequent processing steps.

[1025] Send user information to the server

[1026] The information provided by the user is sent from the device to the server using a communication protocol such as HTTP or HTTPS. The device converts the user-entered data into an appropriate format such as JSON and sends it as a POST request to the specified URL on the server.

[1027] Data analysis and planning by server

[1028] The server receives the data sent by the user and analyzes it. The server has an internal artificial intelligence module that generates the optimal travel plan, including recommended tourist spots to visit, recommended activities, optimal transportation, and accommodations based on the user's interests and budget.

[1029] Receive and view generated itineraries

[1030] The travel plan generated by the server is sent back to the device. The device receives this data and displays it in a format that is easy for the user to understand. Specifically, this includes the daily schedule, activity details, maps of the places visited, and reviews. If the user requests more detailed information about a particular plan, the device can also display more in-depth information in response to that request.

[1031] Specific examples

[1032] For example, suppose a user selects a travel budget of 100,000 yen, two companions, ages 30 and 28, destination Kyoto, travel duration 3 days, things to enjoy such as sightseeing and food, and transportation by train. The device collects this information, converts it into JSON format, and sends it to the server.

[1033] The server receives this data and analyzes it using an artificial intelligence module, which then generates an optimal travel plan, such as the following:

[1034] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[1035] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[1036] Day 3: Gion walk 9:00, preparations for return trip 12:00

[1037] The device receives this travel plan and displays it to the user as a schedule, where the user can check details such as specific destinations, activities, and travel times.

[1038] As described above, the system of the present invention efficiently implements a series of processes that allow a user to easily create a travel plan and receive the most suitable plan.

[1039] The processing flow will be explained below.

[1040] Step 1:

[1041] The user uses the terminal to input detailed information about the trip, such as the travel budget, the number and ages of people traveling together, the destination, the number of days of the trip, what they want to do, and the means of transportation.

[1042] Step 2:

[1043] The device collects the information entered by the user and stores it as a dictionary-style dataset, where each item (e.g., travel budget, travel companions, age, etc.) is stored as a key-value pair.

[1044] Step 3:

[1045] The device prepares the collected information to be sent to the server, where it converts the data into JSON format and sends it to the server as a POST request using the HTTP or HTTPS protocol.

[1046] Step 4:

[1047] The server receives the user information sent from the terminal. The data sent by the POST request is parsed on the server side into an appropriate data format (e.g., JSON).

[1048] Step 5:

[1049] The server uses an artificial intelligence module to analyze the received user information and generate a travel plan that includes recommended tourist spots, optimal transportation, and suitable accommodations based on the user's budget and preferences.

[1050] Step 6:

[1051] The server sends the generated itinerary back to the device as a JSON response, which includes details such as the daily schedule, places to visit, and recommended activities.

[1052] Step 7:

[1053] The terminal receives the travel plan data sent from the server, analyzes the received data, and prepares it for display in a format that is easy for the user to understand.

[1054] Step 8:

[1055] The device then displays the analyzed travel plan to the user, visually showing the schedule for each day, a map of the places to visit, and reviews, allowing the user to confirm the travel plan.

[1056] In this way, the user, terminal, and server work together to realize a series of processes from inputting travel information to generating an optimal travel plan and displaying it.

[1057] Example 1

[1058] 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."

[1059] In today's world, it is difficult for users to easily create travel plans. Creating a comprehensive plan requires a great deal of time and effort, and requires researching destinations, meals, accommodations, and transportation options one by one. Another problem is that there is no method to automatically generate an optimal travel plan that takes into account various travel conditions (budget, travel companions, interests, etc.). To solve this problem, a method is needed to reduce the burden on users and generate travel plans quickly and efficiently.

[1060] 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.

[1061] In this invention, the server includes means for analyzing user input and generating a travel plan using a generative model, means for receiving the generated travel plan from the server and displaying it to the user, and means for collecting information such as travel budget, number of accompanying people, ages, destination, period, preferences, and means of transportation. This allows the user to easily input travel information and receive an optimal travel plan that is automatically generated.

[1062] "User input" refers to the act of a user inputting information about a trip through a terminal, or the data that is input.

[1063] "Server" is a central processing unit for receiving and analyzing user input and generating itineraries.

[1064] "Generative model" is a general term for algorithms and software that use artificial intelligence technology to analyze data and generate optimal travel plans.

[1065] "Travel plan" refers to a detailed travel schedule or activity plan generated based on a user's requests.

[1066] A "terminal" is a device through which a user inputs information, and includes a personal computer, a smartphone, etc.

[1067] "Analysis" refers to the operation of processing data collected from users and organizing it into information for creating travel plans.

[1068] "Travel budget" refers to the maximum total amount of expenses a user wishes to spend on a trip.

[1069] "Companions" refers to other people accompanying you on a trip, including information such as their number and ages.

[1070] "Destination" refers to a place or city that a user wants to visit for their trip.

[1071] "Period" refers to the number of days or specific dates of the trip.

[1072] "Preferences" refer to the things a user wants to enjoy on a trip and the activities that interest them.

[1073] "Transportation" refers to the means of transportation used during a trip, including trains, buses, airplanes, etc.

[1074] The present invention is a system that allows users to easily input travel information, generates an optimal travel plan on the server side, and receives and displays the plan on the terminal. This system performs a series of processes: collects user input, transmits it to the server, analyzes it, generates, receives, and displays the travel plan.

[1075] Collecting User Input

[1076] The user uses a device to input detailed information about the trip. This information includes the travel budget, number and age of companions, destination, duration of the trip, desired activities, and means of transportation. The device compiles this information into a single data set. The device can be a smartphone, PC, or other device.

[1077] Send user information to the server

[1078] The information provided by the user is sent from the device to the server. HTTP, HTTPS, or other communication protocols are used. The device converts the user-entered data into an appropriate format, such as JSON, and sends it as a POST request to the specified URL on the server. The destination URL might be, for example, https: / / example.com / api / travelplan.

[1079] Data analysis and planning by server

[1080] The server receives the data sent by the user and analyzes it. The server has an internal artificial intelligence (AI) module that generates the optimal travel plan using this module. This AI module uses libraries such as TensorFlow and PyTorch. As a result of the analysis, a schedule is created that includes recommended tourist spots to visit, recommended activities, optimal transportation, and accommodation based on the user's interests and budget.

[1081] Receive and view generated itineraries

[1082] The generated itinerary is then sent back to the device from the server. The device receives this data and displays it in a user-friendly format. This includes daily schedules, activity details, maps of destinations, and reviews. If the user requests more detailed information about a particular itinerary, the device can also display more in-depth information.

[1083] Specific examples

[1084] For example, suppose a user selects a travel budget of 100,000 yen, two companions, ages 30 and 28, destination Kyoto, trip duration 3 days, things to enjoy such as sightseeing and food, and transportation by train. The device collects this information, converts it into JSON format, and sends it to the server.

[1085] The server receives this data and analyzes it using an AI module, which generates an optimal travel plan, such as the following:

[1086] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[1087] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[1088] Day 3: Gion walk 9:00, preparations for return trip 12:00

[1089] The device receives this travel plan and displays it to the user as a schedule, where the user can check details such as specific destinations, activities, and travel times.

[1090] Prompt Sentence Examples

[1091] An example of a prompt to input to a generative AI model would be:

[1092] Travel budget: 100,000 yen

[1093] Number of companions: 2 people

[1094] Ages of companions: 30 and 28 years old

[1095] Destination: Kyoto

[1096] Trip duration: 3 days

[1097] Things to enjoy: Sightseeing, food

[1098] Means of transportation: train

[1099] As described above, the system of the present invention efficiently implements a series of processes that allow a user to easily create a travel plan and receive the most suitable plan.

[1100] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1101] Step 1:

[1102] Collecting User Input

[1103] The user starts up the device and accesses the travel information input screen. The device displays input fields such as travel budget, number of accompanying people and their ages, destination, travel duration, things to do, and transportation method. The user enters the required information in each field and presses the submit button. The device compiles this input information into a single dataset (for example, a JSON-formatted object).

[1104] Input: Travel-related information entered by the user (travel budget, number and age of companions, destination, travel duration, things to do, means of transportation)

[1105] Output: Dataset in JSON format

[1106] Specific operation: The user launches the smartphone app, enters information such as "Travel budget: 100,000 yen" and "Travel companions: 2 people (ages 30 and 28)" into the travel information input screen, and presses the send button.

[1107] Step 2:

[1108] Send user information to the server

[1109] When the terminal confirms that the send button has been pressed, it converts the input data into JSON format. The converted data is then sent to the server using the HTTP or HTTPS protocol. The destination URL is set in advance, for example, https: / / example.com / api / travelplan. The terminal checks the success or failure status of the transmission and displays a message to the user indicating that the transmission has been completed.

[1110] Input: User-supplied data converted to JSON format.

[1111] Output: HTTP / HTTPS request to the server

[1112] Specific operation: The device converts the data entered by the user into JSON format: {"budget": 100000, "companions": [{"age": 30}, {"age": 28}], ...} and sends a POST request to the server.

[1113] Step 3:

[1114] Data analysis and planning by server

[1115] When the server receives the JSON data sent from the device, it analyzes the data. The server has an internal artificial intelligence (AI) module that analyzes the data and generates an optimal travel plan. This analysis creates a schedule that includes tourist spots to visit, recommended activities, optimal transportation, and accommodations based on the user's interests and budget. The generated plan is then saved in JSON format. This AI module uses, for example, TensorFlow or PyTorch.

[1116] Input: JSON format user data received from the device

[1117] Output: JSON formatted travel plan data

[1118] Specific operation: The server passes the received data {"budget": 100000, "companions": [{"age": 30}, {"age": 28}], ...} to the AI ​​module for analysis. The AI ​​generates an optimal travel plan for Kyoto and outputs it in the format of {"day1": {"activity": "Sightseeing at Kiyomizu-dera Temple", "time": "10:00", "lunch": "Famous restaurant"}, ...}.

[1119] Step 4:

[1120] Receive and view generated itineraries

[1121] The server resends the generated itinerary to the device. The device parses the received JSON data and displays it on the screen. This includes the specific schedule, places to visit, and reviews, and the user can review it. If the user requests more information, the device resends the request to the server to retrieve and display the additional information.

[1122] Input: JSON formatted travel plan data received from the server

[1123] Output: Travel plan displayed on the screen

[1124] Specific operation: The device receives travel plan data from the server and displays it in an easy-to-read schedule format for the user: {"day1": {"activity": "Sightseeing at Kiyomizu-dera Temple", "time": "10:00", "lunch": "famous restaurant"}, ...}. It displays it in an easy-to-read format for the user: "Day 1: 10:00 Sightseeing at Kiyomizu-dera Temple, 12:00 Lunch at a famous restaurant."

[1125] (Application example 1)

[1126] 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."

[1127] Conventional travel plan generation systems simply generate and display travel plans based on information entered by users, but do not allow users to experience the attractions and detailed information of travel destinations in real time. Furthermore, there is a lack of a way for users to interactively and visually check travel plans before actually visiting the locations. This can lead to users being unable to fully understand the details of a travel destination and feeling unsure about their decisions during the travel planning stage.

[1128] 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.

[1129] In this invention, the server includes means for collecting user input, means for transmitting the user input to the server, means for the server to analyze the user input and generate a travel plan using an artificial intelligence module, means for receiving the generated travel plan from the server and displaying it to the user, and means for displaying travel plan information in augmented reality using a smart device, thereby allowing the user to experience travel destination information visually and in real time during the travel planning stage and making more specific plans.

[1130] "User input" refers to information provided by the user to generate a travel plan, including travel budget, travel companions, ages, destination, number of travel days, desired activities, and means of transportation.

[1131] The "collection means" is hardware or software for receiving input data from a user on a terminal and recording a set of travel conditions.

[1132] The "transmission means" refers to the communication protocol or device used to transfer the collected user-input data to the server. Specifically, this refers to communication technologies such as HTTP and HTTPS.

[1133] "Means for analyzing" refers to the algorithms or artificial intelligence modules used by the server to process the user input data received and generate a travel plan.

[1134] An "artificial intelligence module" is a software component that automatically generates optimal travel plans tailored to a user's travel conditions based on large amounts of data. An example is a machine learning model.

[1135] A "travel plan" is a specific travel itinerary generated based on conditions presented by a user, and is a schedule that includes tourist spots to visit, means of transportation, sightseeing time, accommodations, and the like.

[1136] The "display means" refers to a device or software interface for presenting the generated travel plan to the user. This applies to smartphone applications and web browsers.

[1137] A "smart device" is an electronic device that is internet-connected and has augmented reality (AR) or virtual reality (VR) capabilities. Examples include smart glasses and head-mounted displays.

[1138] "Augmented reality display" refers to technology that overlays virtual information on the real world, allowing users to experience travel destination information in a realistic and visual way.

[1139] System Overview

[1140] This system collects user input, generates an optimal travel plan on the server side, and displays it in augmented reality (AR) on a smart device, allowing users to visually and interactively check information about their travel destinations from the travel planning stage.

[1141] Hardware and software used

[1142] Hardware:

[1143] Smart devices (e.g., smart glasses, head-mounted displays)

[1144] Server (using cloud services: AWS, Google Cloud Platform, etc.)

[1145] software:

[1146] Frontend: Applications that run on smart devices (e.g. Unity, ARKit, ARCore)

[1147] Backend: Server-side data processing and plan generation (e.g., Python, Node.js, Flask, Express)

[1148] Data analysis: Artificial intelligence modules (e.g. TensorFlow, scikit-learn)

[1149] Communication: Libraries that manage HTTP / HTTPS communication (e.g. axios, requests)

[1150] Flow and processing description

[1151] Collecting User Input

[1152] Users use their smart devices to input travel conditions using voice or gestures, including travel budget, companions, ages, destination, number of days, desired activities, and transportation. This information is converted into JSON format and sent to the server.

[1153] Data analysis and plan generation by the server

[1154] The server analyzes the received JSON data and uses an artificial intelligence module to generate an optimal travel plan, including recommended tourist spots to visit, recommended activities, optimal transportation options, and accommodations based on the user's interests and budget.

[1155] View the generated itinerary

[1156] The generated travel plan is sent from the server to the smart device. The smart device receives this data and displays it to the user using augmented reality (AR) technology. Specifically, detailed information about tourist spots and restaurants corresponding to each step of the travel plan is displayed on smart glasses or a head-mounted display. This allows the user to visually check information about their travel destination in real time.

[1157] Specific examples

[1158] Suppose a user enters the following travel requirements:

[1159] "Two people, one aged 30 and the other aged 28, will travel to Kyoto for three days with a budget of 100,000 yen. They want to enjoy sightseeing and food. They will travel by train."

[1160] The server receives this information, analyzes it, and generates a travel plan, such as the following, which it then sends to the smart device:

[1161] Day 1: Arrive Kyoto Station at 9:00, visit Kiyomizu-dera Temple at 10:00, have lunch at a famous restaurant at 12:00

[1162] Day 2: Kinkakuji Temple tour 9:00, Lunch at a local restaurant 12:00

[1163] Day 3: Gion walk 9:00, preparations for return trip 12:00

[1164] The plan is visualized in AR through smart glasses, allowing users to visually see an overview of their travel destinations. For example, a 3D model of Kiyomizu-dera Temple and information on nearby restaurants are displayed in real time, allowing users to know the details of their travel plans in advance.

[1165] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1166] Step 1:

[1167] The user uses a smart device to input travel conditions. For example, using voice recognition, the user can input travel budget, companions, age, destination, number of days of travel, things they want to do, and transportation. The input information is converted into JSON format by the device. The input is "data collection" and the output is "JSON format data." This data is ready to proceed to the next step.

[1168] Step 2:

[1169] The device sends the collected user input data to the server. At this time, the HTTP / HTTPS protocol is used, and the data is sent as a POST request to the specified URL. The input is "JSON format data," and the output is "data sent to the server successfully." A success response is received on the device side.

[1170] Step 3:

[1171] The server analyzes the received user input data. Specifically, it uses an artificial intelligence module (e.g., TensorFlow or scikit-learn) to analyze the data and generate a travel plan that best suits the user's requirements. The input is "user data in JSON format," and the output is "a generated travel plan." This plan includes places to visit, transportation, activities, accommodation, etc.

[1172] Step 4:

[1173] The server converts the generated travel plan back into JSON format and sends it to the terminal. It is sent as a POST request using the HTTP / HTTPS protocol. The input is the "generated travel plan (JSON format)" and the output is "Data sent to terminal successfully." The server receives a successful response.

[1174] Step 5:

[1175] The terminal displays the received travel plan to the user. At this time, the plan contents are visually displayed using AR technology using a smart device (for example, smart glasses or a head-mounted display). The input is the "received travel plan (JSON format)" and the output is "plan information in augmented reality format displayed to the user." This allows the user to visually check information about their travel destination in real time.

[1176] Step 6:

[1177] Users can check the travel plan displayed on their smart device and request more information as needed. Specifically, they can request additional information, such as 3D models of tourist attractions or restaurant menus, by voice or gesture. The input is the "user request" and the output is the "display of additional information." The device communicates with the server, obtains the required information, and displays it to the user.

[1178] The above are the specific processing steps for carrying out the present invention.

[1179] 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.

[1180] This invention is a travel plan generation system that combines an emotion engine that recognizes the user's emotions. This system collects user input, analyzes the user's emotional state using the emotion engine, generates an optimal travel plan on the server based on that information, and displays the plan to the user on a terminal.

[1181] Collecting User Input

[1182] The user uses the device to input detailed information about the trip, such as the travel budget, number of people traveling together and their ages, destination, number of days, things they want to do, and mode of transportation. Information about the user's current emotional state is also collected. This information is then stored in the device and used for subsequent processing.

[1183] Send user information and emotional state to the server

[1184] The device converts the collected information into JSON format and sends it to the server as a POST request using the HTTP or HTTPS protocol. This includes not only the user's information but also their emotional state as analyzed by the emotion engine.

[1185] Data analysis and planning by server

[1186] The server analyzes the received information. Analysis data from the emotion engine is an important factor in reflecting the user's emotional state. The server generates a travel plan using an AI module, taking into account the user's emotional state as well as their budget and preferences. For example, if the user wants to relax, relaxing tourist spots and activities will be suggested. If the user is excited, active activities will be suggested.

[1187] Receive and view generated itineraries

[1188] The itinerary generated by the server is sent as a JSON response to the device, which receives this data and prepares it for display in a user-friendly format. The itinerary includes details such as a daily schedule, places to visit, and recommended activities.

[1189] Specific examples

[1190] For example, suppose a user selects a travel budget of 150,000 yen, two companions, ages 35 and 32, destination Hokkaido, travel duration 5 days, things they want to enjoy such as skiing and fine dining, and transportation by plane. If the emotion engine further analyzes that the user has a strong desire to relax, the device will collect this information, convert it into JSON format, and send it to the server.

[1191] The server receives this data and generates an optimal travel plan that takes into account the emotional state, resulting in a plan like this:

[1192] Day 1: Arrive in Hokkaido at 10:00, relax at the spa at 12:00, have dinner at a famous restaurant at 18:00

[1193] Day 2: Ski at the ski resort 09:00, lunch at a local cafe 12:00, relax in the hot springs 16:00

[1194] Day 3: Sightseeing 09:00, Local Lunch 12:00

[1195] Day 4: Free plan 9:00, shopping 12:00, relaxing at the hotel 16:00

[1196] Day 5: Prepare for return journey 10:00, head to airport 12:00

[1197] The device receives this travel plan and displays it to the user as a schedule, allowing the user to check details such as specific destinations, activities, and travel times.

[1198] This system allows users to easily create optimal travel plans that match their emotional state and ensure a comfortable travel experience.

[1199] The processing flow will be explained below.

[1200] Step 1:

[1201] The user uses the terminal to input detailed information about the trip, such as the travel budget, the number and ages of people traveling together, the destination, the number of days of the trip, what they want to do, and the means of transportation.

[1202] Step 2:

[1203] In addition to the user's input information, the device collects the user's emotional state, which is analyzed by the emotion engine from additional text and options entered by the user.

[1204] Step 3:

[1205] The device compiles the collected information into a dictionary-style dataset, storing both the travel information and the analyzed emotional state in a single dataset.

[1206] Step 4:

[1207] The device prepares the collected information to be sent to the server: this dataset is converted into JSON format and sent as a POST request to the server using the HTTP or HTTPS protocol.

[1208] Step 5:

[1209] The server receives the user information and emotional state sent from the device. The data sent by the POST request is parsed on the server side into an appropriate data format (e.g., JSON).

[1210] Step 6:

[1211] The server uses an artificial intelligence module to analyze the received user information and generates a travel plan that best suits the user's budget and preferences, taking into account the analysis data from the emotion engine.

[1212] Step 7:

[1213] The server then sends the generated itinerary back to the device as a JSON response, which includes details such as a daily schedule, places to visit, and recommended activities.

[1214] Step 8:

[1215] The terminal receives the travel plan data sent from the server, analyzes the received data, and prepares to display it in a format that is easy for the user to understand.

[1216] Step 9:

[1217] The device then displays the analyzed travel plan to the user, visually showing the schedule for each day, a map of the places to visit, and reviews, allowing the user to confirm the travel plan.

[1218] Example 2

[1219] 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."

[1220] Conventional travel plan generation systems have difficulty considering the user's emotional state, and are therefore unable to provide plans that suit the user's psychological and emotional needs. Furthermore, there is a lack of a method for reflecting optimal choices based on the user's emotional state when generating travel plans. This has resulted in users having to go through the trouble of individually selecting places to relax and activities they want to enjoy, which can lead to a decrease in satisfaction with the travel plan.

[1221] 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 analyzing user input and generating a travel plan using a generative AI model, means for analyzing the user's emotional state, and means for receiving the generated travel plan from the server and displaying it to the user. This not only makes it possible to provide an optimal travel plan based on the user's emotional state, but also makes it possible to automatically generate a plan that reflects selections according to the user's emotions.

[1222] "User input" refers to information provided by a user regarding a trip, including travel budget, number and age of travel companions, destination, length of trip, recreational activities, mode of transportation, and emotional state.

[1223] "Server" refers to a computer system that receives information from a user, analyzes it, generates a travel plan using a generative AI model, and provides the generated plan to the user.

[1224] A "generative AI model" is a model that uses artificial intelligence to generate optimal travel plans based on input data.

[1225] A "travel plan" refers to a plan that includes travel dates and schedules, places to visit, recommended activities, etc.

[1226] "Emotional state" refers to information indicating the psychological state or emotion that the user is currently experiencing, and indicates the user's desire to relax, get excited, have fun, or the like.

[1227] "Analyzing" means processing collected data and converting it into meaningful information.

[1228] The "display means" refers to a device or interface for visually showing the generated travel plan to the user.

[1229] "Travel budget" refers to the amount of money a user plans to spend on a trip.

[1230] "Travel companions" refers to other people joining you on a trip.

[1231] A "destination" refers to a location that a user has selected to visit.

[1232] "Travel Days" means the number of days during which the trip is planned.

[1233] "Things to enjoy" refers to the activities that the user wants to experience during their trip.

[1234] "Transportation" refers to the means of transportation used by the user during the trip.

[1235] The present invention is a travel plan generation system that combines an emotion engine that recognizes the user's emotions. This system uses the following hardware and software components to generate an optimal travel plan based on the user's emotional state and provide it to the user.

[1236] 1. Collecting User Input

[1237] Users input travel information using their own devices (smartphones, tablets, PCs, etc.). The information they input includes travel budget, number of companions and their ages, destination, number of days of travel, things they want to do, means of transportation, and emotional state. This information is stored in one place on the device and used for subsequent processing.

[1238] 2. Send user information and emotional state to the server

[1239] The device converts the collected information into JSON format and sends it as a POST request to the server using the HTTP or HTTPS protocol. For example, the following text prompt can be input to the generative AI model:

[1240] User Information:

[1241] Travel budget: 150,000 yen

[1242] Accompanying persons: 2 people (35 and 32 years old)

[1243] Destination: Hokkaido

[1244] Trip length: 5 days

[1245] Things I like to do: Skiing, fine dining

[1246] Transportation: Plane

[1247] Emotional state: I want to relax

[1248] 3. Data analysis and plan creation by the server

[1249] The server receives and analyzes the received JSON-formatted data. The analysis is performed using an emotion engine and a generative AI model. The emotion engine analyzes the input emotional state and clarifies the user's psychological and emotional needs. The generative AI model generates an optimal travel plan taking into account the user's emotional state, travel budget, number of days, and desired activities.

[1250] 4. Receiving and displaying the generated itinerary

[1251] The generated itinerary is sent to the device as a JSON response. The device receives this data and displays it in a user-friendly format. The itinerary includes detailed information such as daily schedules, places to visit, and recommended activities. This allows the user to check specific destinations, activities, travel times, etc.

[1252] Specific examples

[1253] For example, if the emotion engine analyzes that a user has a travel budget of 150,000 yen, is traveling with two companions (ages 35 and 32), has selected Hokkaido as the destination, five days of travel, skiing and fine dining as the things they want to enjoy, and plans to fly as their mode of transportation, and also has a strong desire to relax, the following travel plan will be generated:

[1254] 1. Day 1: Arrive in Hokkaido at 10:00, relax at the spa facility at 12:00, dinner at a famous restaurant at 18:00

[1255] 2. Day 2: Ski at the ski resort at 9:00, lunch at a local cafe at 12:00, relax in the hot springs at 16:00

[1256] 3. Day 3: Sightseeing tour 9:00, local lunch 12:00

[1257] 4. Day 4: Free plan 9:00, shopping 12:00, relaxing at the hotel 16:00

[1258] 5. Day 5: Prepare for return journey 10:00, head to airport 12:00

[1259] In this way, the present invention can automatically generate and provide an optimal travel plan that matches the user's emotional state, allowing the user to have a comfortable travel experience that is suited to their emotional state.

[1260] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1261] Step 1: Collecting User Input

[1262] The user uses the device to input detailed information about the trip, such as the travel budget, number of people traveling together and their ages, destination, number of days of travel, things to do, transportation, and emotional state. This information is collected through an input form on the device and stored on the device for further processing. The input data is stored in the following text format:

[1263] User Information:

[1264] Travel budget: 150,000 yen

[1265] Accompanying persons: 2 people (35 and 32 years old)

[1266] Destination: Hokkaido

[1267] Trip length: 5 days

[1268] Things I like to do: Skiing, fine dining

[1269] Transportation: Plane

[1270] Emotional state: I want to relax

[1271] Input: Travel information and emotional state entered by the user into the terminal

[1272] Output: User information data stored on the device

[1273] Step 2: Send user information and emotional state to the server

[1274] The device converts the stored user information and emotional state into JSON format and sends the converted data to the server as a POST request using the HTTP or HTTPS protocol. Specifically, it constructs an appropriate request to the endpoint URL and sends it to the server.

[1275] Input: User information data stored on the device

[1276] Output: JSON formatted user information data sent to the server

[1277] Step 3: Data analysis by the server

[1278] The server analyzes the received JSON-formatted data. First, it parses the data and extracts each item. Then, it uses an emotion engine to analyze the user's emotional state and clarify the user's psychological and emotional needs. This analysis information is then used to generate the subsequent travel plan.

[1279] Input: Received user information data in JSON format

[1280] Output: Parsed user information and emotional state data

[1281] Step 4: Generate your travel plan

[1282] The server uses a generative AI model to generate an optimal travel plan based on the analyzed user information and emotional state data. The AI ​​model considers factors such as travel budget, number of days, and desired activities to select activities and places to visit that are appropriate for the user's emotional state.

[1283] Input: Parsed user information and emotional state data

[1284] Output: Generated itinerary data

[1285] Step 5: Submit the generated itinerary

[1286] The server converts the generated travel plan back into JSON format and sends it as a response to the terminal. Specifically, it returns the travel plan data to the endpoint URL as an HTTP response.

[1287] Input: Generated itinerary data

[1288] Output: JSON formatted itinerary data sent to the terminal.

[1289] Step 6: View your travel plans

[1290] The device processes the received JSON-formatted travel plan data and displays it in a user-friendly format. Specifically, it displays the travel plan in a daily schedule format, detailing each activity and travel time. This allows the user to check specific destinations, activities, travel time, etc.

[1291] Input: Received itinerary data in JSON format

[1292] Output: The itinerary displayed to the user

[1293] (Application example 2)

[1294] 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."

[1295] Conventional travel plan generation systems propose plans without considering the user's emotional state, making it difficult to provide the travel experience that the user truly desires.Food delivery services also have the same problem of being unable to make appropriate proposals that reflect the user's emotions and mood, making it difficult to improve user satisfaction.

[1296] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for collecting user input, means for transmitting the user input to the server, means for the server to analyze the user input and generate a travel plan or a food delivery plan using an artificial intelligence module, means for receiving the generated plan from the server and displaying it to the user, and means for analyzing the user's emotional state using an emotion analysis module and making appropriate suggestions based on the analysis results. This makes it possible to provide an optimal plan that reflects the user's emotional state, thereby improving user satisfaction.

[1297] "Means for collecting user input" refers to interfaces through which users can enter travel or food delivery information, including smartphone applications and web forms.

[1298] "Means for transmitting user input to a server" refers to a protocol or API for transmitting collected user input data over a network to a server, specifically using the HTTP or HTTPS protocol.

[1299] "Means for the server to analyze user input and generate travel or food delivery plans using an artificial intelligence module" refers to a software module running on a server that analyzes user input using machine learning and AI algorithms and performs the process of generating the optimal plan.

[1300] "Means for receiving the generated plan from the server and displaying it to the user" refers to software for receiving the plan data sent from the server on a local device and visually displaying it to the user, including smartphone applications and web browsers.

[1301] "Sentiment analysis module" refers to a module that analyzes user input and behavioral data to assess their emotional state, using natural language processing techniques and machine learning models.

[1302] "Means for collecting user's travel budget, travel companions, ages, destination, length of trip, activities, and transportation information" refers to the interface for users to enter trip details, including drop-down menus and text boxes offering options.

[1303] "Artificial Intelligence Module" refers to a software component that uses machine learning algorithms and other AI technologies to analyze data and generate optimal plans.

[1304] "Emotional state" refers to data obtained by analyzing information indicating the mood or emotion at that time from data such as character strings entered by the user.

[1305] "Means for making appropriate suggestions" refers to software that uses sentiment analysis and other user information to suggest optimal travel plans, food delivery plans, etc. for users.

[1306] This paper describes a food delivery system that combines an emotion analysis module that recognizes the user's emotions. The system collects user input, analyzes the user's emotional state using the emotion analysis module, generates an optimal delivery plan on the server based on the information, and displays the plan to the user on the terminal.

[1307] Collecting User Input

[1308] The user uses the device to input detailed information about the delivery, such as the type of food they want to eat and their current emotional state. The device then collects and stores this information. The hardware used in this process is a smartphone or tablet, and the software uses the React Native framework.

[1309] Send user information and emotional state to the server

[1310] The device converts the collected information into JSON format and sends it to the server as a POST request using HTTP or HTTPS. This request includes not only the user information but also the emotional state analyzed by the emotion analysis module. This processing step uses an HTTP client library such as Axios.

[1311] Data analysis and planning by server

[1312] The server analyzes the received information. The analysis data from the sentiment analysis module is an important element to reflect the user's emotional state. Specifically, the sentiment is analyzed using Google Cloud's Natural Language API. On the server side, Node.js and the Express framework are used.

[1313] The AI ​​module takes into account the user's emotional state and generates the optimal delivery plan. For example, if the user wants to relax, it will suggest restaurants that serve healthy food, and if they want to feel energized, it will suggest restaurants that serve spicy food. This is done using the Uber Eats API and DoorDash API.

[1314] Receive and view the generated delivery plan

[1315] The delivery plan generated by the server is sent to the device as a JSON response, which the device receives and prepares to display in a user-friendly format using the React Native framework.

[1316] Specific examples

[1317] For example, suppose a user inputs their current feelings as "I'm tired, so I want some food to relax me." The device collects this information, converts it into JSON format, and sends it to the server. An example of a prompt for the generative AI model could be, "Please analyze the following emotional state: 'I'm tired, so I want some food to relax me.' Based on the results, please recommend a suitable dish or restaurant."

[1318] The server receives this data and generates an optimal delivery plan that takes into account the user's emotional state. For example, it may suggest five restaurants that serve healthy food. The device receives this delivery plan and displays it to the user as a list.

[1319] This system allows users to easily obtain the optimal delivery plan that matches their emotional state, ensuring a satisfying dining experience.

[1320] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1321] Step 1:

[1322] The user starts the application and inputs their emotional state and dietary preferences. The input fields include emotional states (e.g., "I'm tired, so I want something to relax me") and dietary preferences (e.g., "Italian food," "Sushi"). When the user completes the input and presses the send button, this data is saved on the device. The input data is in text format.

[1323] Step 2:

[1324] The device converts the user input data collected in step 1 into JSON format. This data includes emotional state and dietary preferences. The converted JSON data is sent to the server as a POST request using the HTTP or HTTPS protocol. This process uses an HTTP client library such as Axios.

[1325] Step 3:

[1326] The server parses the JSON data received from the device. The parsed data includes the user's emotional state and dietary preferences. The server first sends a request to Google Cloud's Natural Language API to analyze the emotional state and receives the results. The input in this process is text data in JSON format, and the output is the sentiment analysis results.

[1327] Step 4:

[1328] The server understands the user's current mood based on the results of sentiment analysis and then generates optimal suggestions linked to the user's dining preferences. Specifically, if the user is looking to relax, it will recommend restaurants that serve healthy meals and light snacks. To obtain the necessary information, the server sends requests to the Uber Eats API or DoorDash API and receives the responses. The input data are the sentiment analysis results and dining preferences, and the output data is a list of recommended restaurants.

[1329] Step 5:

[1330] The optimal delivery plan (e.g., a list of recommended restaurants) generated by the server is encoded in JSON format and sent to the device. In this processing step, data is sent as an HTTP response to the device. The input data is the list of recommended restaurants, and the output data is the HTTP response from the server to the device.

[1331] Step 6:

[1332] The terminal parses the JSON data received from the server and prepares it to be displayed in a user-friendly format. This data includes a list of recommended restaurants and detailed information about their dishes. The terminal generates UI components to display this information and provides it to the user. The React Native framework is used for display. The input data is a list of recommended restaurants in JSON format, and the output data is what is displayed in the user interface.

[1333] This series of processes enables users to quickly and efficiently obtain the optimal delivery plan based on their emotional state.

[1334] 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.

[1335] 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.

[1336] 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 robot 414.

[1337] 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.

[1338] 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.

[1339] 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.

[1340] 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).

[1341] 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.

[1342] 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."

[1343] 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.

[1344] 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).

[1345] 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.

[1346] 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.

[1347] 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.

[1348] 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.

[1349] 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.

[1350] 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.

[1351] 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.

[1352] 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.

[1353] 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.

[1354] 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.

[1355] The following is further disclosed regarding the above embodiment.

[1356] (Claim 1)

[1357] means for collecting user input;

[1358] means for transmitting user input to a server;

[1359] means for the server to analyze user input and generate a travel plan using an artificial intelligence module;

[1360] means for receiving the generated travel plan from the server and displaying it to the user;

[1361] A system including:

[1362] (Claim 2)

[1363] 10. The system of claim 1, further comprising means for collecting information on the user's travel budget, travel companions, age, destination, number of travel days, activities to enjoy, and mode of transportation.

[1364] (Claim 3)

[1365] 10. The system of claim 1, further comprising means, at the server side, for generating a travel plan for the user using an artificial intelligence module.

[1366] "Example 1"

[1367] (Claim 1)

[1368] means for collecting user input;

[1369] means for transmitting user input to a server;

[1370] means for the server to analyze user input and generate a travel plan using the generative model;

[1371] means for receiving the generated travel plan from the server and displaying it to the user;

[1372] A system including:

[1373] (Claim 2)

[1374] 10. The system of claim 1, further comprising means for collecting information on the user's travel budget, number of companions, ages, destination, duration, preferences, and mode of transportation.

[1375] (Claim 3)

[1376] 10. The system of claim 1, further comprising: means, at a server side, for generating a travel plan for a user using the generative model.

[1377] "Application Example 1"

[1378] (Claim 1)

[1379] means for collecting user input;

[1380] means for transmitting user input to a server;

[1381] means for the server to analyze user input and generate a travel plan using an artificial intelligence module;

[1382] means for receiving the generated travel plan from the server and displaying it to the user;

[1383] a means for displaying travel plan information in augmented reality using a smart device;

[1384] A system including:

[1385] (Claim 2)

[1386] 10. The system of claim 1, further comprising means for collecting information on the user's travel budget, travel companions, age, destination, number of travel days, activities to enjoy, and mode of transportation.

[1387] (Claim 3)

[1388] 10. The system of claim 1, further comprising means, at the server side, for generating a travel plan for the user using an artificial intelligence module.

[1389] "Example 2: Combining Emotion Engines"

[1390] (Claim 1)

[1391] means for collecting user input;

[1392] means for transmitting user input to a server;

[1393] a means for the server to analyze user input and generate a travel plan using a generative AI model;

[1394] means for receiving the generated travel plan from the server and displaying it to the user;

[1395] A system including:

[1396] (Claim 2)

[1397] 10. The system of claim 1, further comprising means for collecting information on the user's travel budget, number and age of travel companions, destination, number of travel days, leisure activities, mode of transportation, and emotional state.

[1398] (Claim 3)

[1399] 10. The system of claim 1, further comprising: means, at a server side, for analyzing a user's emotional state and generating a travel plan using a generative AI model.

[1400] "Application example 2 when combining emotion engines"

[1401] (Claim 1)

[1402] means for collecting user input;

[1403] means for transmitting user input to a server;

[1404] means for the server to analyze user input and generate a travel plan using an artificial intelligence module;

[1405] means for receiving the generated travel plan from the server and displaying it to the user;

[1406] means for analyzing the emotional state of a user using an emotion analysis module and making appropriate suggestions based on the analysis results;

[1407] A system including:

[1408] (Claim 2)

[1409] 10. The system of claim 1, further comprising means for collecting information on the user's travel budget, travel companions, age, destination, number of travel days, leisure activities, mode of transportation, and emotional state.

[1410] (Claim 3)

[1411] 10. The system of claim 1, further comprising: means for generating a travel plan for a user on a server side using an artificial intelligence module and a sentiment analysis module. [Explanation of symbols]

[1412] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for collecting user input; means for transmitting user input to a server; means for the server to analyze user input and generate a travel plan using an artificial intelligence module; means for receiving the generated travel plan from the server and displaying it to the user; A system including:

2. The system according to claim 1, further comprising means for collecting information on the user's travel budget, companions, age, destination, number of travel days, things to do, and means of transportation.

3. 10. The system of claim 1, further comprising means for generating a travel plan for a user on the server side using an artificial intelligence module.

Images