system

Abstract

We provide the system. [Solution] A means of inputting information about the traveler's preferences, budget, and the areas they wish to visit, Means for storing and processing input information, A means of generating the optimal itinerary that meets the needs of travelers based on accumulated information, A means of providing the generated itinerary to travelers, A travel plan suggestion system that includes this feature.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional planning of travel plans, travelers have to collect a lot of information by themselves and make plans according to their respective preferences and budgets, which is a problem that requires a great deal of effort and time. In addition, it is also difficult to cope with sudden changes in travel plans and budget constraints, which causes stress to travelers. Against this background, there is a demand for a system that can automatically generate and provide travel plans that are efficient and meet individual needs.

Means for Solving the Problems

[0005] In order to solve the above problems, the present invention provides a travel plan proposal system having the following features.

[0006] This system includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for storing and processing the inputted information; means for generating an optimal itinerary that meets the traveler's needs based on the stored information; and means for providing the generated itinerary to the traveler. This allows travelers to easily create efficient and fulfilling travel plans, and makes it easier to respond to sudden changes or budget constraints.

[0007] A "traveler" refers to an individual or group of people who plan and intend to travel.

[0008] "Preferences" refer to a traveler's personal tastes and interests regarding the activities they want to experience and the areas they are interested in during their trip.

[0009] "Budget" refers to the total amount of money a traveler plans to spend on their entire trip.

[0010] "A region you want to visit" refers to a geographical location or area that a traveler has chosen as their travel destination.

[0011] "Means of inputting information" refers to methods and devices that allow travelers to communicate information such as their preferences, budget, and desired destinations to a system.

[0012] "Means for storing and processing information" refers to systems and devices for recording input information and analyzing and manipulating it as needed.

[0013] "Means of generating itineraries" refers to methods and devices for creating optimal travel plans for travelers based on accumulated information.

[0014] "Means of providing an itinerary" refers to methods or devices for communicating, displaying, or notifying travelers of a generated travel plan.

[0015] The "Travel Plan Proposal System" refers to the entire system that collects, processes, and provides the optimal itinerary by collecting and processing the information of travelers in order for travelers to formulate an efficient and fulfilling travel plan.

Brief Explanation of Drawings

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of the data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of the data processing device and the smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of the data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of the data processing device and the smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of the data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of the data processing device and the headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of the data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of the data processing device and the robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0019] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0020] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

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

[0026] As shown in Figure 1, the 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 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0033] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the 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 processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0036] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0037] The travel plan suggestion system of the present invention takes information about the traveler's preferences, budget, and desired destinations as input and generates an optimal travel plan based on that information. A specific embodiment of this system will be described below.

[0038] 1. User input

[0039] The user first enters information about their trip via a device. For example, they can enter the following information using a smartphone or computer:

[0040] Preferences (e.g., sightseeing, food, activities, etc.)

[0041] Budget (Example: 50,000 yen)

[0042] Areas you would like to visit (e.g., Kyoto)

[0043] 2. Receiving and processing information by the server

[0044] The information entered is sent from the terminal to the server via the internet. The server receives this information and stores and processes it appropriately. Specifically, the following processes are performed:

[0045] Use the `input_preferences` method to set user preference information.

[0046] Use the `input_budget` method to set the user's budget.

[0047] Use the `input_destination` method to set the region the user wants to visit.

[0048] 3. Server-driven itinerary generation

[0049] The server generates the optimal travel plan based on accumulated information. In this process, an AI algorithm is used to create an itinerary that best suits the user's individual needs and budget. For example, the following itinerary might be generated:

[0050] 3-day plan

[0051] Place visited: Kyoto

[0052] Budget: 50,000 yen

[0053] Day 1: Tourist spot A (Lunch: Restaurant X)

[0054] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0055] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0056] 4. Providing users with travel itineraries.

[0057] The generated travel plan is sent from the server to the terminal and provided to the user. The user can review the travel plan via the terminal and plan and execute the actual trip based on its contents.

[0058] For example, if a user enters that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto," the server receives this information and runs a travel plan generation algorithm. The server then provides the user with a "3-day sightseeing plan in Kyoto." This plan includes the total budget and the places to visit each day.

[0059] In this way, the travel plan proposal system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information.

[0060] The following describes the processing flow.

[0061] Step 1:

[0062] The user uses their device to input information about their trip. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto) into the input fields on the device.

[0063] Step 2:

[0064] The terminal receives the entered information and sends it to the server. The terminal transmits this information to the server in the appropriate format via the internet.

[0065] Step 3:

[0066] The server processes the information received from the terminal. First, the server creates an instance of the TravelGuideAI class. Then, it calls the following methods to set the information.

[0067] The `input_preferences` method is used to set user preference information.

[0068] The user's budget is set using the `input_budget` method.

[0069] Use the `input_destination` method to set the region you want to visit.

[0070] Step 4:

[0071] The server generates the optimal travel plan based on the information. Specifically, it uses the `generate_itinerary` method to create the travel plan. This method uses an AI algorithm to generate the best plan for the traveler based on accumulated preferences, budget, and destination information.

[0072] Step 5:

[0073] The server sends the generated travel plan to the device. The generated plan is created as a string and sent to the device via the internet.

[0074] Step 6:

[0075] The device displays the travel plan received from the server to the user. The user can view the travel plan on the device's screen.

[0076] Step 7:

[0077] Users review the provided travel plan, check details as needed, and proceed with planning their trip.

[0078] (Example 1)

[0079] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0080] Traditional travel plan suggestion systems were inefficient and failed to fully meet travelers' expectations because they required manual creation of optimal travel plans based on travelers' preferences, budgets, and desired destinations. Furthermore, they struggled to effectively process input information and quickly propose plans tailored to individual needs.

[0081] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0082] In this invention, the server includes means for receiving, storing, and processing input information; means for generating an optimal itinerary that meets the traveler's needs using a generative AI model based on the stored information; and means for sending generated prompt sentences to the generative AI model to generate a travel plan. This makes it possible to automatically generate and efficiently provide an optimal travel plan based on the information entered by the user.

[0083] "Traveler preferences" refer to the activities, places, and experiences that travelers want to enjoy during their trip.

[0084] "Budget" refers to the maximum amount of money a traveler plans to spend on their trip.

[0085] "Areas to visit" refers to specific places or regions that travelers wish to visit during their trip.

[0086] "Means of input" refers to the means by which travelers input travel-related information into the system, and specifically includes user terminals.

[0087] "Means of sending information to a server via the internet" refers to the means of sending information entered from a user terminal to a server via the internet.

[0088] "Means for storage and processing" refers to means for storing information received by the server and for analyzing and processing it as needed.

[0089] A "generative AI model" refers to an artificial intelligence model used to generate the optimal travel plan based on the input information.

[0090] A "prompt" refers to a text-based instruction input to a generative AI model, intended to provide the information that forms the basis of the generated plan.

[0091] "Means for generating travel plans" refers to methods for creating travel plans suitable for travelers using generative AI models.

[0092] The travel plan suggestion system of the present invention automatically generates and provides travel plans desired by travelers. This system collects information on travelers' preferences, budget, and desired destinations, and generates an optimal travel plan based on this information.

[0093] Entering information

[0094] First, the user enters travel information using a device (e.g., a smartphone or computer). Specific examples of information to be entered include the following:

[0095] Preferences (e.g., sightseeing, food, activities, etc.)

[0096] Budget (Example: 50,000 yen)

[0097] Areas you would like to visit (e.g., Kyoto)

[0098] The user accesses the system's input form from their terminal and enters this information. For example, the user might enter that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto."

[0099] Sending and receiving information

[0100] The terminal sends the information entered by the user to the server via the internet. The server receives the form data sent as a POST request, stores the information, and processes it.

[0101] Plan generation using generative AI models

[0102] The server generates the optimal travel plan based on the accumulated information. In this process, it uses a generation AI model (e.g., GPT-4®). The server generates the travel plan by sending the following prompt messages to the generation AI model.

[0103] User input information:

[0104] Preferences: sightseeing, dining, activities

[0105] Budget: 50,000 yen

[0106] Area I want to visit: Kyoto

[0107] Based on the information above, please generate a 3-day Kyoto sightseeing plan. The plan should include the main sightseeing spots and lunch locations for each day.

[0108] The generative AI model generates a travel plan like the following based on the received prompt message.

[0109] 3-day plan

[0110] Place visited: Kyoto

[0111] Budget: 50,000 yen

[0112] Day 1: Tourist spot A (Lunch: Restaurant X)

[0113] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0114] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0115] Provision of the generated plan

[0116] The generated travel plan is sent from the server to the device and provided to the user. The server returns the generated plan to the device as a JSON response, and the device receives this information and displays it in a user-friendly format.

[0117] Users can review the plan provided via their device and then plan and execute their actual trip based on its contents.

[0118] In this way, the travel plan proposal system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information.

[0119] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0120] Step 1:

[0121] The user enters travel information. Specifically, the user uses a device (smartphone or computer) to enter the following information:

[0122] Input: Preferences (sightseeing, dining, activities), budget (50,000 yen), desired area to visit (Kyoto)

[0123] Output: The data is stored as input on the user's terminal.

[0124] The user opens a browser and accesses the input form of the travel plan suggestion system, entering information into each field. For example, they might enter "Sightseeing" and "Food" in the "Preferences" field, "50,000 yen" in the "Budget" field, and "Kyoto" in the "Desired Region" field.

[0125] Step 2:

[0126] The terminal transmits the information entered by the user to the server via the internet.

[0127] Input: User input data stored on the device

[0128] Output: POST request received by the server via the internet

[0129] Specifically, the user presses the submit button, and the form data is sent to the server as a POST request.

[0130] Step 3:

[0131] The server stores and processes the received information. The server receives this data and stores it in a database. The following methods are used:

[0132] Use the `input_preferences` method to set your preferences.

[0133] The budget is set using the input_budget method.

[0134] Use the `input_destination` method to set the region you want to visit.

[0135] Input: POST request containing user input data

[0136] Output: User travel information stored in the database

[0137] The server parses the POST request and imports the received data into the database. Specifically, it calls various methods to verify data integrity.

[0138] Step 4:

[0139] The server uses an AI model based on accumulated information to generate the optimal travel plan.

[0140] Input: User travel information stored in the database

[0141] Output: Prompt message sent to the generated AI model

[0142] The server sends the following prompt message to the generating AI model.

[0143] User input information:

[0144] Preferences: sightseeing, dining, activities

[0145] Budget: 50,000 yen

[0146] Area I want to visit: Kyoto

[0147] Based on the information above, please generate a 3-day Kyoto sightseeing plan. The plan should include the main sightseeing spots and lunch locations for each day.

[0148] The server generates this prompt message and sends it to the AI ​​model to request the generation of a travel plan.

[0149] Step 5:

[0150] The generative AI model generates a travel plan based on the received prompt text.

[0151] Input: Prompt message

[0152] Output: Generated travel plan

[0153] The generative AI model analyzes the prompt text and generates a travel plan based on the user's input. An example of a generated plan is shown below.

[0154] 3-day plan

[0155] Place visited: Kyoto

[0156] Budget: 50,000 yen

[0157] Day 1: Tourist spot A (Lunch: Restaurant X)

[0158] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0159] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0160] Step 6:

[0161] The server receives the generated travel plan and sends it to the user's device.

[0162] Input: Travel plan obtained from a generated AI model

[0163] Output: JSON response sent to the terminal

[0164] The server converts the generated travel plan into JSON format and sends the response to the terminal.

[0165] Step 7:

[0166] The device displays the received travel plan. Users can check the travel plan via the device.

[0167] Input: JSON response received from the server

[0168] Output: Travel plan displayed to the user

[0169] The device parses the received JSON response and displays the travel plan in a user-friendly format. This allows the user to plan and execute their actual trip based on the provided plan.

[0170] (Application Example 1)

[0171] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0172] Traditional travel plan suggestion systems required users to make individual reservations based on their planned travel itineraries, a cumbersome process. Furthermore, a lack of proper budget management during the planning stage posed a risk of budget overruns during the actual trip. Additionally, there was a lack of a centralized system for managing travel-related payments.

[0173] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0174] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for storing and processing the inputted information; means for generating an optimal itinerary that meets the traveler's needs based on the stored information; means for completing reservations and payments for restaurants, tourist attractions, and activities based on the generated itinerary; and means for providing the generated itinerary to the traveler. This enables centralized management from travel plan generation to reservations and payments, eliminating cumbersome procedures for the user and allowing for accurate budget management.

[0175] A "traveler" is a person who plans and carries out a trip.

[0176] "Preferences" refer to a traveler's personal tastes and interests regarding what they want to enjoy during their trip.

[0177] "Budget" refers to the range of money a traveler can spend on their trip.

[0178] "Areas to visit" refers to specific places or areas that travelers wish to visit.

[0179] "Means of inputting information" refers to the methods or devices by which travelers provide information about their trip (preferences, budget, areas they wish to visit) to a system.

[0180] "Means for storing and processing information" refers to a method or apparatus for storing input information and performing necessary processing.

[0181] "Means for generating an optimal itinerary" refers to a method or device that creates the most suitable travel plan for travelers based on accumulated information.

[0182] "Means of completing booking and payment" refers to the method or device for making necessary bookings and paying for them based on the generated itinerary.

[0183] "Means of providing" refers to the method or device used to convey the generated itinerary information to the traveler.

[0184] The travel plan suggestion system of the present invention takes information about the traveler's preferences, budget, and desired destinations as input, generates an optimal travel plan based on that information, and then completes the booking and payment based on that plan. Embodiments of this system are described in detail below.

[0185] 1. User input

[0186] Users input information about their travels via their user devices, such as smartphones or personal computers. For example, the following information can be provided through the application:

[0187] Preferences (e.g., sightseeing, food, activities, etc.)

[0188] Budget (Example: 50,000 yen)

[0189] Areas you would like to visit (e.g., Kyoto)

[0190] 2. Receiving and processing information by the server

[0191] The information entered is transmitted from the user's terminal to the server via the internet. The server receives this information and stores and processes it appropriately. Specifically, the following processes are performed:

[0192] Users can set their preferences, budget, and desired travel destinations.

[0193] Subsequently, an AI algorithm is used to process the accumulated information and generate the most suitable travel plan for the traveler.

[0194] 3. Server-driven itinerary generation

[0195] The server generates the optimal travel plan based on accumulated information. In this process, AI algorithms are used to create an itinerary that best suits the user's individual needs and budget.

[0196] 4. Completion of booking and payment

[0197] Based on the generated itinerary, the server automatically makes reservations for restaurants, tourist attractions, and activities. It also provides a means to complete the associated payments.

[0198] 5. Providing users with travel itineraries.

[0199] The generated travel plan is sent from the server to the user's terminal, where the user can review it. The user then reviews the travel plan in detail via their terminal and plans and executes their actual trip based on its contents.

[0200] Specific example

[0201] For example, if a user enters that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto," the server receives this information and runs a travel plan generation algorithm. The generated plan includes sightseeing spots, restaurant reservations, and payment.

[0202] Example of a prompt:

[0203] User preferences: Sightseeing, Food

[0204] Budget: 80,000 yen

[0205] Destination: Okinawa

[0206] Based on this information, please generate an optimal 3-day travel plan. Include detailed sightseeing spots and restaurants to visit each day.

[0207] In this way, the travel plan suggestion system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information. Furthermore, by centrally managing travel reservations and payments, it significantly simplifies the user's travel preparation process.

[0208] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0209] Step 1:

[0210] Users input travel information using devices such as smartphones or computers. Specifically, they input information such as preferences (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto). The entered information is then sent from the device to the server.

[0211] Step 2:

[0212] The server receives user information sent from the terminal and stores it in a database. This data includes information about the user's preferences, budget, and desired travel destinations. The server saves this information and prepares for the next processing step.

[0213] Step 3:

[0214] The server retrieves accumulated information and uses AI algorithms to generate the optimal travel plan. Specifically, it selects tourist destinations, restaurants, and activities based on the user's preferences, budget, and desired regions, and then combines them to create a travel plan. Based on the input data, it determines the specific schedule and destinations for each day.

[0215] Step 4:

[0216] The server makes reservations for restaurants, tourist attractions, and activities based on the generated travel plan. Based on the reservation information for locations and activities selected by the AI ​​algorithm, it calls the APIs of each reservation site to confirm the booking. After the booking is complete, it also retrieves the information necessary for payment.

[0217] Step 5:

[0218] The server compiles the information on completed reservation procedures and completes the payment via the electronic payment system. It sends the payment information to the electronic payment API and retrieves confirmation information if the payment is successful.

[0219] Step 6:

[0220] The server sends the generated travel plan and booking / payment information to the user's terminal. The user can then view this information through their terminal. Specific travel plan details, booking confirmations, and payment confirmations are provided.

[0221] Step 7:

[0222] Users plan and execute their actual trip based on the submitted travel plan. They can ensure that each scheduled activity during their trip is carried out according to the information displayed on their device.

[0223] In this way, a system is realized that allows for seamless execution of everything from travel planning and booking to payment through the specific actions taken at each step.

[0224] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0225] The travel plan suggestion system of the present invention generates an optimal travel plan by taking into account the traveler's preferences, budget, and desired destinations, as well as the user's emotions. Embodiments of the present invention are described in detail below.

[0226] 1. User input

[0227] The user first enters basic travel information via the device. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired travel area (e.g., Kyoto) on the device's input screen. The device also has a camera and microphone, which are used to capture the user's facial expressions and voice in real time.

[0228] 2. Emotion recognition by an emotion engine

[0229] The emotion engine uses the device's camera and microphone to recognize emotions in real time from the user's facial expressions and voice. For example, it analyzes the facial expressions and tone of voice that express emotions such as "expectation," "anxiety," and "joy," and converts this information into data. This emotion data is then sent to the server along with other input information.

[0230] 3. Receiving and processing information by the server

[0231] The server receives and stores basic user information (preferences, budget, desired destinations) and sentiment data sent from the terminal. Specifically, it uses the following methods to set the information.

[0232] The `input_preferences` method is used to set user preference information.

[0233] The user's budget is set using the `input_budget` method.

[0234] The `input_destination` method is used to set the region the user wants to visit.

[0235] The `input_emotions` method is used to set the user's emotion data.

[0236] 4. Server-driven itinerary generation

[0237] The server generates travel plans optimized for the user's emotions based on accumulated basic information and emotional data. For example, if the emotional engine determines that the user is seeking relaxation, the server adjusts the travel plan to suggest relaxing tourist destinations and activities. This allows for the provision of more personalized travel plans.

[0238] 3-day plan

[0239] Place visited: Kyoto

[0240] Budget: 50,000 yen

[0241] Day 1: Relaxing tourist spot A (Lunch: Relaxing restaurant X)

[0242] Day 2: Pleasant tourist spot B (Lunch: Relaxing restaurant Y)

[0243] Day 3: Refreshing tourist spot C (Lunch: Refreshing restaurant Z)

[0244] 5. Providing users with travel itineraries.

[0245] The generated travel plan is sent from the server to the terminal and provided to the user. The user can view the travel plan on the terminal screen and proceed with their actual travel plans based on its contents.

[0246] For example, if a user is interested in "sightseeing" and "food," has a budget of 50,000 yen, and wants to visit "Kyoto," and the emotion engine also detects the user's desire to "relax," the server will process this information comprehensively and provide the user with a three-day travel plan centered around relaxing places and activities. This plan will include content that takes the user's feelings into consideration as much as possible within the budget.

[0247] Thus, the travel plan suggestion system of the present invention generates and provides more personalized, efficient, and fulfilling travel plans based on input information including the user's emotions.

[0248] The following describes the processing flow.

[0249] Step 1:

[0250] Users input information about their trip using their device. Specifically, users enter their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destinations (e.g., Kyoto) on the device's input screen. Real-time data of the user's facial expressions and voice is also acquired through the camera and microphone.

[0251] Step 2:

[0252] The device receives the entered information and sentiment data and sends it to the server via the internet. The device packages the entered preferences, budget, destination, and sentiment data and sends it.

[0253] Step 3:

[0254] The server receives information and emotion data sent from the terminal and processes them. First, the server creates an instance of the TravelGuideAI class and sets the information by calling the following methods.

[0255] The `input_preferences` method is used to set user preference information.

[0256] The user's budget is set using the `input_budget` method.

[0257] The `input_destination` method is used to set the region the user wants to visit.

[0258] The `input_emotions` method is used to set the user's emotion data.

[0259] Step 4:

[0260] The server generates the optimal travel plan based on the information. By calling the `generate_itinerary` method, the AI ​​algorithm generates the best plan for the traveler using accumulated preferences, budget, destination information, and sentiment data. For example, if the server detects a desire to relax, it will create a plan that includes relaxing places and activities.

[0261] Step 5:

[0262] The server sends the generated travel plan to the terminal in data format. For example, this might involve generating and sending the details of a three-day travel plan in string format.

[0263] Step 6:

[0264] The device analyzes the travel plan data received from the server and displays it in a user-friendly format. The travel plan details are displayed on the device screen, allowing the user to review them.

[0265] Step 7:

[0266] Users review the provided travel plans, check details as needed, and proceed with planning their trip. Based on the displayed plan, users make the actual arrangements and preparations for their trip.

[0267] Thus, the invention's system generates and provides individually optimized travel plans using user input information and real-time sentiment data.

[0268] (Example 2)

[0269] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0270] Traditional travel plan suggestion systems generate plans based only on basic traveler information (preferences, budget, and desired destinations), making it difficult to provide itineraries optimized for travelers' emotions and moods. This made it challenging to propose travel plans that would satisfy travelers.

[0271] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0272] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for recognizing the traveler's emotions using the terminal's camera and microphone; means for storing and processing the input information and recognized emotion data; means for generating an itinerary optimized for the traveler's emotions based on the stored information and recognized emotion data; and means for providing the generated itinerary to the traveler. This makes it possible to provide a personalized travel plan that matches the traveler's emotions and mood.

[0273] "Traveler preferences" refer to the types of activities and experiences that travelers want to enjoy during their trip. Examples include sightseeing, dining, and activities.

[0274] "Budget" refers to the amount of money a traveler plans to spend on their trip.

[0275] "A region you want to visit" refers to a specific geographical location that a traveler has designated as their travel destination.

[0276] A "device" refers to an electronic device used by a user to input travel-related information. This includes, for example, smartphones and tablets.

[0277] "Camera and microphone" refers to the hardware installed on the terminal for capturing video and audio.

[0278] "Means for recognizing emotions" refers to the technology that uses the terminal's camera and microphone to analyze the traveler's expressions and tone of voice, and identify emotions in real time.

[0279] "Input information" refers to the data on preferences, budget, and regions to visit entered by the traveler into the terminal.

[0280] "Recognized emotion data" refers to the data on the traveler's emotions obtained by the means for recognizing emotions.

[0281] "Server" refers to the computer system located remotely for storing and processing the input information and recognized emotion data.

[0282] "Means for storing and processing" refers to the technology that stores the traveler's input information and emotion data in a database or the like, and processes and analyzes them.

[0283] "Means for generating a travel itinerary optimized for the traveler's emotions" refers to the technology that creates an optimal travel plan based on the input information and recognized emotion data, suitable for the traveler's emotions and mood.

[0284] "Means for providing the generated travel itinerary" refers to the technology that transmits the travel plan generated by the server to the terminal so that the user can view it and displays it.

[0285] The travel plan proposal system of the present invention generates an optimal travel plan considering the user's emotions in addition to the traveler's preferences, budget, and regions to visit. Hereinafter, embodiments of the present invention will be described in detail.

[0286] First, the user inputs basic information about the trip via the terminal. Specifically, the user inputs "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and the area they want to visit (e.g., Kyoto) on the input screen of the terminal. The terminal is equipped with a camera and a microphone, and these are used to capture the user's expressions and voice in real time.

[0287] Next, the emotion engine uses the terminal's camera and microphone to recognize the user's emotions in real time from the user's expressions and voice. For example, it analyzes the expressions and tones of voice that represent emotions such as "expectation", "uneasiness", and "joy" of the user, and digitizes this information. This emotion data is also sent to the server together with other input information.

[0288] After that, the server receives and accumulates the user's basic information (preferences, budget, area to visit) and emotion data sent from the terminal. Specifically, the following methods are used to set the information.

[0289] Set the user's preference information with the input_preferences method.

[0290] Set the user's budget with the input_budget method.

[0291] Set the area the user wants to visit with the input_destination method.

[0292] Set the user's emotion data with the input_emotions method.

[0293] [[ID=I27]] Based on the accumulated basic information and emotion data, the server generates a travel plan optimized for the user's emotions. Specifically, the generation AI model executed in the server processes the user's "preferences", "budget", "area to visit", and "emotion data" as input parameters. This model includes an algorithm that proposes tourist spots and activities where the user can relax if it determines that the user is seeking relaxation.

[0294] If a user is interested in "sightseeing" and "food," has a budget of 50,000 yen, and wants to visit "Kyoto," and the emotion engine also detects the user's desire to "relax," the server will process this information comprehensively and generate a 3-day travel plan centered on relaxing places and activities, which will then be provided to the user. This plan will include content that takes the user's feelings into consideration as much as possible within the budget.

[0295] Example input prompt:

[0296] "I'm planning a trip to Kyoto. I enjoy sightseeing and dining, and my budget is 50,000 yen. I'd like a plan that focuses on relaxing places."

[0297] The generated travel plan is sent from the server to the terminal. The terminal converts the received information into a format that the user can view and displays it on the screen. The user can then review the travel plan on the terminal screen and create their own travel plan based on its contents.

[0298] Thus, the travel plan suggestion system of the present invention provides a more personalized, efficient, and fulfilling travel plan based on input information including the user's emotions.

[0299] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0300] Step 1:

[0301] User input

[0302] The user uses their device to enter basic travel information. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired travel area (e.g., Kyoto) on the device's input screen. The entered information is temporarily stored on the device. The entered data is saved in text format.

[0303] Input: Travel preferences, budget, regions to visit

[0304] Output: Temporary storage of input information

[0305] Step 2:

[0306] Emotion recognition by the emotion engine

[0307] The terminal uses a camera and a microphone to capture the user's expressions and voice. The emotion engine analyzes this captured data to recognize the user's emotions. The emotion data is digitized as text or numerical values. Specifically, face recognition algorithms and voice analysis algorithms are used.

[0308] Input: User's facial expression data, voice data

[0309] Output: Emotion data (e.g., anticipation, joy, uneasiness)

[0310] Step 3:

[0311] Receiving information by the server

[0312] The terminal transmits the input basic information and emotion data to the server. The server receives this information and stores it in the database. The data is set by the corresponding method.

[0313] Input: Basic information (preferences, budget, regions to visit), emotion data

[0314] Output: Data storage on the server

[0315] Step 4:

[0316] Data processing by the server

[0317] The server processes accumulated basic information and emotional data to generate a travel plan. Specifically, a generative AI model running on the server uses this information as input parameters. The generative AI model includes an algorithm that generates a travel plan optimized for the user's emotions.

[0318] Input: Accumulated basic information and emotional data

[0319] Output: Optimized travel plan

[0320] Step 5:

[0321] Providing travel plans from the server to the terminal.

[0322] The generated travel plan is sent from the server to the terminal. The terminal formats the received plan for the user to review and displays it on the screen. The user can then use this travel plan as a basis to create their own travel plan.

[0323] Input: Generated travel plan

[0324] Output: Travel plan displayed on the device

[0325] In this way, data processing and calculations with specific inputs and outputs are performed at each processing step, resulting in a travel plan optimized for the user's emotions.

[0326] (Application Example 2)

[0327] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0328] Current travel plan suggestion systems can generate itineraries based on travelers' preferences, budgets, and desired destinations, but they cannot respond to travelers' emotions or real-time needs. Therefore, providing personalized itineraries that reflect individual needs and emotions is difficult. Furthermore, there are limited means for travelers to concretely visualize the generated itineraries, and the inability to simulate actual experiences during the planning process is another challenge.

[0329] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0330] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for recognizing and inputting the input information and emotional data in real time; means for storing and processing the input information and emotional data; means for generating an optimal itinerary that meets the traveler's needs and emotions based on the stored information and emotional data; and rendering means for providing the generated itinerary to the traveler and allowing them to experience it virtually. This makes it possible to generate and provide personalized itineraries that reflect the individual needs and emotions of the traveler. Furthermore, by allowing them to experience it virtually, the traveler can concretely experience the generated itinerary, making the formation of travel plans more realistic and specific.

[0331] "Traveler preferences" refer to the personal tastes of travelers, such as specific activities they want to experience, places they want to visit, and food they want to eat during their trip.

[0332] A "budget" is the maximum amount of money a traveler plans to spend on their trip.

[0333] "A region to visit" refers to a specific place or area that a traveler wishes to visit during their trip.

[0334] "Emotional data" refers to information about a traveler's emotional state, estimated from their facial expressions and tone of voice, acquired in real time through input devices such as cameras and microphones.

[0335] "Methods for real-time recognition and input" refers to technology that uses input devices such as cameras and microphones to instantly recognize the emotional state of travelers and incorporate that data into the system.

[0336] "Means for storage and processing" refers to technology that stores information and emotional data entered on a server, and analyzes and processes it to generate the optimal travel itinerary.

[0337] "Rendering means" refers to technologies and devices that visualize the generated itinerary in a virtual environment, enabling travelers to experience it virtually.

[0338] The travel plan suggestion system of the present invention inputs and analyzes the traveler's preferences, budget, desired destinations, and emotional data, and generates an optimal itinerary based on this information. This system includes a terminal, an emotional recognition engine, a server, and a virtual experience provision device.

[0339] 1. User input

[0340] The user first enters basic travel information via the device. This includes the traveler's preferences, budget, and desired destinations. Furthermore, the device is equipped with a camera and microphone, which are used to capture the user's facial expressions and voice in real time, thereby acquiring emotional data.

[0341] 2. Emotion recognition by an emotion engine

[0342] The emotion engine uses the device's camera and microphone to recognize emotions in real time from the user's facial expressions and voice. This involves using technologies such as TENSORFLOW® and OpenCV to digitize the user's emotions and send them to a server. For example, it analyzes the facial expressions and tone of voice when the user expresses emotions such as "expectation," "anxiety," or "joy."

[0343] 3. Receiving and processing information by the server

[0344] The server receives basic traveler information and sentiment data sent from the terminal. This data is set using the input_preferences, input_budget, input_destination, and input_emotions methods. The server then stores this data and begins processing it.

[0345] 4. Server-driven itinerary generation

[0346] The server generates travel plans optimized for the traveler's emotions based on accumulated basic information and emotional data. For example, if the emotion engine determines that the user is seeking relaxation, the server will suggest a travel plan that includes relaxing tourist destinations and activities. A generative AI model is used to create the optimal itinerary based on prompt messages.

[0347] 5. Providing virtual experiences

[0348] The generated itinerary is sent from the server to the terminal. The terminal uses a virtual reality device (e.g., a VR headset) to virtually display the generated itinerary. This allows the user to virtually experience the destination before actually traveling. The following is an example of a prompt:

[0349] Example of a prompt:

[0350] The user is interested in sightseeing and dining, has a budget of 50,000 yen, and wants to visit Kyoto. They also currently want to relax. Based on this, please create a 3-day travel plan. The essential requirement is that it includes relaxing sightseeing spots and activities.

[0351] In this way, it becomes possible to provide personalized travel plans that meet the user's emotions and needs, and to form more concrete travel plans through virtual experiences.

[0352] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0353] Step 1:

[0354] User input of basic information

[0355] The user enters basic travel information (preferences, budget, desired destination) via the terminal's input screen. Here, the user enters their travel preferences (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto). This information is stored on the terminal and prepared as data to be later sent to the server.

[0356] input:

[0357] Traveler's preferences

[0358] budget

[0359] Areas I want to visit

[0360] output:

[0361] Basic information data accumulated by the device

[0362] Step 2:

[0363] Real-time recognition and input of emotional data

[0364] The device's camera and microphone capture the user's facial expressions and voice, acquiring emotional data in real time. An emotion recognition engine (e.g., a TensorFlow or OpenCV model) is used to analyze the user's emotions from the acquired video and audio data and convert it into data.

[0365] input:

[0366] User's facial expression

[0367] User feedback

[0368] output:

[0369] Analyzed emotional data

[0370] Step 3:

[0371] Sending data to the server

[0372] The device sends accumulated basic information data and real-time acquired sentiment data to the server. This data is packaged in JSON format or similar and sent to the server's API endpoint.

[0373] input:

[0374] Basic Information Data

[0375] Emotional data

[0376] output:

[0377] Data sent to the server

[0378] Step 4:

[0379] Data storage and processing by the server.

[0380] The server stores the received basic information data and emotion data in a database (e.g., Firebase). It uses the `input_preferences`, `input_budget`, `input_destination`, and `input_emotions` methods to store the data and perform data analysis based on it.

[0381] input:

[0382] Basic Information Data

[0383] Emotional data

[0384] output:

[0385] Data in the accumulated database

[0386] Step 5:

[0387] Itinerary generation

[0388] The server uses a generative AI model to generate the optimal itinerary based on the user's basic information and sentiment data. The generative AI model takes prompts such as the following as input and outputs the optimal itinerary:

[0389] Example of a prompt:

[0390] The user is interested in sightseeing and dining, has a budget of 50,000 yen, and wants to visit Kyoto. They also currently want to relax. Based on this, please create a 3-day travel plan. The essential requirement is that it includes relaxing sightseeing spots and activities.

[0391] input:

[0392] Basic Information Data

[0393] Emotional data

[0394] Prompt message

[0395] output:

[0396] Generated itinerary data

[0397] Step 6:

[0398] Sending itineraries and providing virtual experiences

[0399] The server sends the generated itinerary to the user's device. The device receives the itinerary data and uses a virtual experience device (e.g., a VR headset) to virtually experience the destination. This allows the user to experience the virtual environment of their travel destination in advance, helping them to finalize their travel plans.

[0400] input:

[0401] Generated itinerary data

[0402] output:

[0403] Itinerary data sent to the user's terminal

[0404] Virtual experience

[0405] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0406] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0407] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0408] [Second Embodiment]

[0409] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0410] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0411] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0412] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0413] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0414] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0415] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0416] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0417] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0418] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0419] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0420] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0421] The travel plan suggestion system of the present invention takes information about the traveler's preferences, budget, and desired destinations as input and generates an optimal travel plan based on that information. A specific embodiment of this system will be described below.

[0422] 1. User input

[0423] The user first enters information about their trip via a device. For example, they can enter the following information using a smartphone or computer:

[0424] Preferences (e.g., sightseeing, food, activities, etc.)

[0425] Budget (Example: 50,000 yen)

[0426] Areas you would like to visit (e.g., Kyoto)

[0427] 2. Receiving and processing information by the server

[0428] The information entered is sent from the terminal to the server via the internet. The server receives this information and stores and processes it appropriately. Specifically, the following processes are performed:

[0429] Use the `input_preferences` method to set user preference information.

[0430] Use the `input_budget` method to set the user's budget.

[0431] Use the `input_destination` method to set the region the user wants to visit.

[0432] 3. Server-driven itinerary generation

[0433] The server generates the optimal travel plan based on accumulated information. In this process, an AI algorithm is used to create an itinerary that best suits the user's individual needs and budget. For example, the following itinerary might be generated:

[0434] 3-day plan

[0435] Place visited: Kyoto

[0436] Budget: 50,000 yen

[0437] Day 1: Tourist spot A (Lunch: Restaurant X)

[0438] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0439] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0440] 4. Providing users with travel itineraries.

[0441] The generated travel plan is sent from the server to the terminal and provided to the user. The user can review the travel plan via the terminal and plan and execute the actual trip based on its contents.

[0442] For example, if a user enters that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto," the server receives this information and runs a travel plan generation algorithm. The server then provides the user with a "3-day sightseeing plan in Kyoto." This plan includes the total budget and the places to visit each day.

[0443] In this way, the travel plan proposal system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information.

[0444] The following describes the processing flow.

[0445] Step 1:

[0446] The user uses their device to input information about their trip. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto) into the input fields on the device.

[0447] Step 2:

[0448] The terminal receives the entered information and sends it to the server. The terminal transmits this information to the server in the appropriate format via the internet.

[0449] Step 3:

[0450] The server processes the information received from the terminal. First, the server creates an instance of the TravelGuideAI class. Then, it calls the following methods to set the information.

[0451] The `input_preferences` method is used to set user preference information.

[0452] The user's budget is set using the `input_budget` method.

[0453] Use the `input_destination` method to set the region you want to visit.

[0454] Step 4:

[0455] The server generates the optimal travel plan based on the information. Specifically, it uses the `generate_itinerary` method to create the travel plan. This method uses an AI algorithm to generate the best plan for the traveler based on accumulated preferences, budget, and destination information.

[0456] Step 5:

[0457] The server sends the generated travel plan to the device. The generated plan is created as a string and sent to the device via the internet.

[0458] Step 6:

[0459] The device displays the travel plan received from the server to the user. The user can view the travel plan on the device's screen.

[0460] Step 7:

[0461] Users review the provided travel plan, check details as needed, and proceed with planning their trip.

[0462] (Example 1)

[0463] Next, we will describe Example 1. 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".

[0464] Traditional travel plan suggestion systems were inefficient and failed to fully meet travelers' expectations because they required manual creation of optimal travel plans based on travelers' preferences, budgets, and desired destinations. Furthermore, they struggled to effectively process input information and quickly propose plans tailored to individual needs.

[0465] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0466] In this invention, the server includes means for receiving, storing, and processing input information; means for generating an optimal itinerary that meets the traveler's needs using a generative AI model based on the stored information; and means for sending generated prompt sentences to the generative AI model to generate a travel plan. This makes it possible to automatically generate and efficiently provide an optimal travel plan based on the information entered by the user.

[0467] "Traveler preferences" refer to the activities, places, and experiences that travelers want to enjoy during their trip.

[0468] "Budget" refers to the maximum amount of money a traveler plans to spend on their trip.

[0469] "Areas to visit" refers to specific places or regions that travelers wish to visit during their trip.

[0470] "Means of input" refers to the means by which travelers input travel-related information into the system, and specifically includes user terminals.

[0471] "Means of sending information to a server via the internet" refers to the means of sending information entered from a user terminal to a server via the internet.

[0472] "Means for storage and processing" refers to means for storing information received by the server and for analyzing and processing it as needed.

[0473] A "generative AI model" refers to an artificial intelligence model used to generate the optimal travel plan based on the input information.

[0474] A "prompt" refers to a text-based instruction input to a generative AI model, intended to provide the information that forms the basis of the generated plan.

[0475] "Means for generating travel plans" refers to methods for creating travel plans suitable for travelers using generative AI models.

[0476] The travel plan suggestion system of the present invention automatically generates and provides travel plans desired by travelers. This system collects information on travelers' preferences, budget, and desired destinations, and generates an optimal travel plan based on this information.

[0477] Entering information

[0478] First, the user enters travel information using a device (e.g., a smartphone or computer). Specific examples of information to be entered include the following:

[0479] Preferences (e.g., sightseeing, food, activities, etc.)

[0480] Budget (Example: 50,000 yen)

[0481] Areas you would like to visit (e.g., Kyoto)

[0482] The user accesses the system's input form from their terminal and enters this information. For example, the user might enter that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto."

[0483] Sending and receiving information

[0484] The terminal sends the information entered by the user to the server via the internet. The server receives the form data sent as a POST request, stores the information, and processes it.

[0485] Plan generation using generative AI models

[0486] The server generates the optimal travel plan based on the accumulated information. In this process, it uses a generation AI model (e.g., GPT-4). The server generates the travel plan by sending the following prompt messages to the generation AI model.

[0487] User input information:

[0488] Preferences: sightseeing, dining, activities

[0489] Budget: 50,000 yen

[0490] Area I want to visit: Kyoto

[0491] Based on the information above, please generate a 3-day Kyoto sightseeing plan. The plan should include the main sightseeing spots and lunch locations for each day.

[0492] The generative AI model generates a travel plan like the following based on the received prompt message.

[0493] 3-day plan

[0494] Place visited: Kyoto

[0495] Budget: 50,000 yen

[0496] Day 1: Tourist spot A (Lunch: Restaurant X)

[0497] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0498] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0499] Provision of the generated plan

[0500] The generated travel plan is sent from the server to the device and provided to the user. The server returns the generated plan to the device as a JSON response, and the device receives this information and displays it in a user-friendly format.

[0501] Users can review the plan provided via their device and then plan and execute their actual trip based on its contents.

[0502] In this way, the travel plan proposal system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information.

[0503] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0504] Step 1:

[0505] The user enters travel information. Specifically, the user uses a device (smartphone or computer) to enter the following information:

[0506] Input: Preferences (sightseeing, dining, activities), budget (50,000 yen), desired area to visit (Kyoto)

[0507] Output: The data is stored as input on the user's terminal.

[0508] The user opens a browser and accesses the input form of the travel plan suggestion system, entering information into each field. For example, they might enter "Sightseeing" and "Food" in the "Preferences" field, "50,000 yen" in the "Budget" field, and "Kyoto" in the "Desired Region" field.

[0509] Step 2:

[0510] The terminal transmits the information entered by the user to the server via the internet.

[0511] Input: User input data stored on the device

[0512] Output: POST request received by the server via the internet

[0513] Specifically, the user presses the submit button, and the form data is sent to the server as a POST request.

[0514] Step 3:

[0515] The server stores and processes the received information. The server receives this data and stores it in a database. The following methods are used:

[0516] Use the `input_preferences` method to set your preferences.

[0517] The budget is set using the input_budget method.

[0518] Use the `input_destination` method to set the region you want to visit.

[0519] Input: POST request containing user input data

[0520] Output: User travel information stored in the database

[0521] The server parses the POST request and imports the received data into the database. Specifically, it calls various methods to verify data integrity.

[0522] Step 4:

[0523] The server uses an AI model based on accumulated information to generate the optimal travel plan.

[0524] Input: User travel information stored in the database

[0525] Output: Prompt message sent to the generated AI model

[0526] The server sends the following prompt message to the generating AI model.

[0527] User input information:

[0528] Preferences: sightseeing, dining, activities

[0529] Budget: 50,000 yen

[0530] Area I want to visit: Kyoto

[0531] Based on the information above, please generate a 3-day Kyoto sightseeing plan. The plan should include the main sightseeing spots and lunch locations for each day.

[0532] The server generates this prompt message and sends it to the AI ​​model to request the generation of a travel plan.

[0533] Step 5:

[0534] The generative AI model generates a travel plan based on the received prompt text.

[0535] Input: Prompt message

[0536] Output: Generated travel plan

[0537] The generative AI model analyzes the prompt text and generates a travel plan based on the user's input. An example of a generated plan is shown below.

[0538] 3-day plan

[0539] Place visited: Kyoto

[0540] Budget: 50,000 yen

[0541] Day 1: Tourist spot A (Lunch: Restaurant X)

[0542] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0543] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0544] Step 6:

[0545] The server receives the generated travel plan and sends it to the user's device.

[0546] Input: Travel plan obtained from a generated AI model

[0547] Output: JSON response sent to the terminal

[0548] The server converts the generated travel plan into JSON format and sends the response to the terminal.

[0549] Step 7:

[0550] The device displays the received travel plan. Users can check the travel plan via the device.

[0551] Input: JSON response received from the server

[0552] Output: Travel plan displayed to the user

[0553] The device parses the received JSON response and displays the travel plan in a user-friendly format. This allows the user to plan and execute their actual trip based on the provided plan.

[0554] (Application Example 1)

[0555] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0556] Traditional travel plan suggestion systems required users to make individual reservations based on their planned travel itineraries, a cumbersome process. Furthermore, a lack of proper budget management during the planning stage posed a risk of budget overruns during the actual trip. Additionally, there was a lack of a centralized system for managing travel-related payments.

[0557] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0558] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for storing and processing the inputted information; means for generating an optimal itinerary that meets the traveler's needs based on the stored information; means for completing reservations and payments for restaurants, tourist attractions, and activities based on the generated itinerary; and means for providing the generated itinerary to the traveler. This enables centralized management from travel plan generation to reservations and payments, eliminating cumbersome procedures for the user and allowing for accurate budget management.

[0559] A "traveler" is a person who plans and carries out a trip.

[0560] "Preferences" refer to a traveler's personal tastes and interests regarding what they want to enjoy during their trip.

[0561] "Budget" refers to the range of money a traveler can spend on their trip.

[0562] "Areas to visit" refers to specific places or areas that travelers wish to visit.

[0563] "Means of inputting information" refers to the methods or devices by which travelers provide information about their trip (preferences, budget, areas they wish to visit) to a system.

[0564] "Means for storing and processing information" refers to a method or apparatus for storing input information and performing necessary processing.

[0565] "Means for generating an optimal itinerary" refers to a method or device that creates the most suitable travel plan for travelers based on accumulated information.

[0566] "Means of completing booking and payment" refers to the method or device for making necessary bookings and paying for them based on the generated itinerary.

[0567] "Means of providing" refers to the method or device used to convey the generated itinerary information to the traveler.

[0568] The travel plan suggestion system of the present invention takes information about the traveler's preferences, budget, and desired destinations as input, generates an optimal travel plan based on that information, and then completes the booking and payment based on that plan. Embodiments of this system are described in detail below.

[0569] 1. User input

[0570] Users input information about their travels via their user devices, such as smartphones or personal computers. For example, the following information can be provided through the application:

[0571] Preferences (e.g., sightseeing, food, activities, etc.)

[0572] Budget (Example: 50,000 yen)

[0573] Areas you would like to visit (e.g., Kyoto)

[0574] 2. Receiving and processing information by the server

[0575] The information entered is transmitted from the user's terminal to the server via the internet. The server receives this information and stores and processes it appropriately. Specifically, the following processes are performed:

[0576] Users can set their preferences, budget, and desired travel destinations.

[0577] Subsequently, an AI algorithm is used to process the accumulated information and generate the most suitable travel plan for the traveler.

[0578] 3. Server-driven itinerary generation

[0579] The server generates the optimal travel plan based on accumulated information. In this process, AI algorithms are used to create an itinerary that best suits the user's individual needs and budget.

[0580] 4. Completion of booking and payment

[0581] Based on the generated itinerary, the server automatically makes reservations for restaurants, tourist attractions, and activities. It also provides a means to complete the associated payments.

[0582] 5. Providing users with travel itineraries.

[0583] The generated travel plan is sent from the server to the user's terminal, where the user can review it. The user then reviews the travel plan in detail via their terminal and plans and executes their actual trip based on its contents.

[0584] Specific example

[0585] For example, if a user enters that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto," the server receives this information and runs a travel plan generation algorithm. The generated plan includes sightseeing spots, restaurant reservations, and payment.

[0586] Example of a prompt:

[0587] User preferences: Sightseeing, Food

[0588] Budget: 80,000 yen

[0589] Destination: Okinawa

[0590] Based on this information, please generate an optimal 3-day travel plan. Include detailed sightseeing spots and restaurants to visit each day.

[0591] In this way, the travel plan suggestion system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information. Furthermore, by centrally managing travel reservations and payments, it significantly simplifies the user's travel preparation process.

[0592] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0593] Step 1:

[0594] Users input travel information using devices such as smartphones or computers. Specifically, they input information such as preferences (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto). The entered information is then sent from the device to the server.

[0595] Step 2:

[0596] The server receives user information sent from the terminal and stores it in a database. This data includes information about the user's preferences, budget, and desired travel destinations. The server saves this information and prepares for the next processing step.

[0597] Step 3:

[0598] The server retrieves accumulated information and uses AI algorithms to generate the optimal travel plan. Specifically, it selects tourist destinations, restaurants, and activities based on the user's preferences, budget, and desired regions, and then combines them to create a travel plan. Based on the input data, it determines the specific schedule and destinations for each day.

[0599] Step 4:

[0600] The server makes reservations for restaurants, tourist attractions, and activities based on the generated travel plan. Based on the reservation information for locations and activities selected by the AI ​​algorithm, it calls the APIs of each reservation site to confirm the booking. After the booking is complete, it also retrieves the information necessary for payment.

[0601] Step 5:

[0602] The server compiles the information on completed reservation procedures and completes the payment via the electronic payment system. It sends the payment information to the electronic payment API and retrieves confirmation information if the payment is successful.

[0603] Step 6:

[0604] The server sends the generated travel plan and booking / payment information to the user's terminal. The user can then view this information through their terminal. Specific travel plan details, booking confirmations, and payment confirmations are provided.

[0605] Step 7:

[0606] Users plan and execute their actual trip based on the submitted travel plan. They can ensure that each scheduled activity during their trip is carried out according to the information displayed on their device.

[0607] In this way, a system is realized that allows for seamless execution of everything from travel planning and booking to payment through the specific actions taken at each step.

[0608] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0609] The travel plan suggestion system of the present invention generates an optimal travel plan by taking into account the traveler's preferences, budget, and desired destinations, as well as the user's emotions. Embodiments of the present invention are described in detail below.

[0610] 1. User input

[0611] The user first enters basic travel information via the device. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired travel area (e.g., Kyoto) on the device's input screen. The device also has a camera and microphone, which are used to capture the user's facial expressions and voice in real time.

[0612] 2. Emotion recognition by an emotion engine

[0613] The emotion engine uses the device's camera and microphone to recognize emotions in real time from the user's facial expressions and voice. For example, it analyzes the facial expressions and tone of voice that express emotions such as "expectation," "anxiety," and "joy," and converts this information into data. This emotion data is then sent to the server along with other input information.

[0614] 3. Receiving and processing information by the server

[0615] The server receives and stores basic user information (preferences, budget, desired destinations) and sentiment data sent from the terminal. Specifically, it uses the following methods to set the information.

[0616] The `input_preferences` method is used to set user preference information.

[0617] The user's budget is set using the `input_budget` method.

[0618] The `input_destination` method is used to set the region the user wants to visit.

[0619] The `input_emotions` method is used to set the user's emotion data.

[0620] 4. Server-driven itinerary generation

[0621] The server generates travel plans optimized for the user's emotions based on accumulated basic information and emotional data. For example, if the emotional engine determines that the user is seeking relaxation, the server adjusts the travel plan to suggest relaxing tourist destinations and activities. This allows for the provision of more personalized travel plans.

[0622] 3-day plan

[0623] Place visited: Kyoto

[0624] Budget: 50,000 yen

[0625] Day 1: Relaxing tourist spot A (Lunch: Relaxing restaurant X)

[0626] Day 2: Pleasant tourist spot B (Lunch: Relaxing restaurant Y)

[0627] Day 3: Refreshing tourist spot C (Lunch: Refreshing restaurant Z)

[0628] 5. Providing users with travel itineraries.

[0629] The generated travel plan is sent from the server to the terminal and provided to the user. The user can view the travel plan on the terminal screen and proceed with their actual travel plans based on its contents.

[0630] For example, if a user is interested in "sightseeing" and "food," has a budget of 50,000 yen, and wants to visit "Kyoto," and the emotion engine also detects the user's desire to "relax," the server will process this information comprehensively and provide the user with a three-day travel plan centered around relaxing places and activities. This plan will include content that takes the user's feelings into consideration as much as possible within the budget.

[0631] Thus, the travel plan suggestion system of the present invention generates and provides more personalized, efficient, and fulfilling travel plans based on input information including the user's emotions.

[0632] The following describes the processing flow.

[0633] Step 1:

[0634] Users input information about their trip using their device. Specifically, users enter their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destinations (e.g., Kyoto) on the device's input screen. Real-time data of the user's facial expressions and voice is also acquired through the camera and microphone.

[0635] Step 2:

[0636] The device receives the entered information and sentiment data and sends it to the server via the internet. The device packages the entered preferences, budget, destination, and sentiment data and sends it.

[0637] Step 3:

[0638] The server receives information and emotion data sent from the terminal and processes them. First, the server creates an instance of the TravelGuideAI class and sets the information by calling the following methods.

[0639] The `input_preferences` method is used to set user preference information.

[0640] The user's budget is set using the `input_budget` method.

[0641] The `input_destination` method is used to set the region the user wants to visit.

[0642] The `input_emotions` method is used to set the user's emotion data.

[0643] Step 4:

[0644] The server generates the optimal travel plan based on the information. By calling the `generate_itinerary` method, the AI ​​algorithm generates the best plan for the traveler using accumulated preferences, budget, destination information, and sentiment data. For example, if the server detects a desire to relax, it will create a plan that includes relaxing places and activities.

[0645] Step 5:

[0646] The server sends the generated travel plan to the terminal in data format. For example, this might involve generating and sending the details of a three-day travel plan in string format.

[0647] Step 6:

[0648] The device analyzes the travel plan data received from the server and displays it in a user-friendly format. The travel plan details are displayed on the device screen, allowing the user to review them.

[0649] Step 7:

[0650] Users review the provided travel plans, check details as needed, and proceed with planning their trip. Based on the displayed plan, users make the actual arrangements and preparations for their trip.

[0651] Thus, the invention's system generates and provides individually optimized travel plans using user input information and real-time sentiment data.

[0652] (Example 2)

[0653] Next, we will describe Example 2. 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".

[0654] Traditional travel plan suggestion systems generate plans based only on basic traveler information (preferences, budget, and desired destinations), making it difficult to provide itineraries optimized for travelers' emotions and moods. This made it challenging to propose travel plans that would satisfy travelers.

[0655] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0656] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for recognizing the traveler's emotions using the terminal's camera and microphone; means for storing and processing the input information and recognized emotion data; means for generating an itinerary optimized for the traveler's emotions based on the stored information and recognized emotion data; and means for providing the generated itinerary to the traveler. This makes it possible to provide a personalized travel plan that matches the traveler's emotions and mood.

[0657] "Traveler preferences" refer to the types of activities and experiences that travelers want to enjoy during their trip. Examples include sightseeing, dining, and activities.

[0658] "Budget" refers to the amount of money a traveler plans to spend on their trip.

[0659] "A region you want to visit" refers to a specific geographical location that a traveler has designated as their travel destination.

[0660] A "device" refers to an electronic device used by a user to input travel-related information. This includes, for example, smartphones and tablets.

[0661] "Camera and microphone" refers to the hardware installed in a device for capturing video and audio.

[0662] "Means of recognizing emotions" refers to technology that uses the device's camera and microphone to analyze a traveler's facial expressions and tone of voice, and identifies their emotions in real time.

[0663] "Entered information" refers to data entered by travelers into their devices regarding their preferences, budget, and desired destinations.

[0664] "Recognized emotion data" refers to data about travelers' emotions obtained through means of recognizing emotions.

[0665] A "server" refers to a remote computer system that stores and processes input information and recognized emotion data.

[0666] "Means for storage and processing" refers to technologies that store travelers' input information and emotional data in databases, and then process and analyze this data.

[0667] "Methods for generating itineraries optimized for travelers' emotions" refers to technology that creates optimal travel plans that match travelers' emotions and moods based on input information and recognized emotional data.

[0668] "Means of providing generated itineraries" refers to technology that sends a travel plan generated on a server to a user's device for them to review and display.

[0669] The travel plan suggestion system of the present invention generates an optimal travel plan by taking into account the traveler's preferences, budget, and desired destinations, as well as the user's emotions. Embodiments of the present invention are described in detail below.

[0670] First, the user enters basic travel information via the device. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto) on the device's input screen. The device is equipped with a camera and microphone, which are used to capture the user's facial expressions and voice in real time.

[0671] Next, the emotion engine uses the device's camera and microphone to recognize the user's emotions in real time from their facial expressions and voice. For example, it analyzes the facial expressions and tone of voice that express emotions such as "expectation," "anxiety," and "joy," and converts this information into data. This emotion data is also sent to the server along with other input information.

[0672] Subsequently, the server receives and stores the user's basic information (preferences, budget, desired destinations) and sentiment data sent from the terminal. Specifically, the information is set using the following methods.

[0673] The `input_preferences` method is used to set user preference information.

[0674] The user's budget is set using the `input_budget` method.

[0675] The `input_destination` method is used to set the region the user wants to visit.

[0676] The `input_emotions` method is used to set the user's emotion data.

[0677] The server generates travel plans optimized for the user's emotions based on accumulated basic information and emotional data. Specifically, a generative AI model running on the server processes the user's "preferences," "budget," "desired destinations," and "emotional data" as input parameters. This model includes algorithms that, if it determines that the user is seeking relaxation, suggest relaxing tourist destinations and activities.

[0678] If a user is interested in "sightseeing" and "food," has a budget of 50,000 yen, and wants to visit "Kyoto," and the emotion engine also detects the user's desire to "relax," the server will process this information comprehensively and generate a 3-day travel plan centered on relaxing places and activities, which will then be provided to the user. This plan will include content that takes the user's feelings into consideration as much as possible within the budget.

[0679] Example input prompt:

[0680] "I'm planning a trip to Kyoto. I enjoy sightseeing and dining, and my budget is 50,000 yen. I'd like a plan that focuses on relaxing places."

[0681] The generated travel plan is sent from the server to the terminal. The terminal converts the received information into a format that the user can view and displays it on the screen. The user can then review the travel plan on the terminal screen and create their own travel plan based on its contents.

[0682] Thus, the travel plan suggestion system of the present invention provides a more personalized, efficient, and fulfilling travel plan based on input information including the user's emotions.

[0683] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0684] Step 1:

[0685] User input

[0686] The user uses their device to enter basic travel information. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired travel area (e.g., Kyoto) on the device's input screen. The entered information is temporarily stored on the device. The entered data is saved in text format.

[0687] Input: Travel preferences, budget, areas you want to visit

[0688] Output: Temporarily save input information

[0689] Step 2:

[0690] Emotion recognition by an emotion engine

[0691] The device uses its camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this captured data to recognize the user's emotions. The emotion data is then converted into text or numerical data. Specifically, facial recognition algorithms and voice analysis algorithms are used.

[0692] Input: User facial expression data, voice data

[0693] Output: Emotional data (e.g., expectation, joy, anxiety)

[0694] Step 3:

[0695] Receiving information from the server

[0696] The terminal sends the entered basic information and sentiment data to the server. The server receives this information and stores it in a database. The data is configured using the corresponding method.

[0697] Input: Basic information (preferences, budget, places to visit), sentiment data

[0698] Output: Data storage on the server

[0699] Step 4:

[0700] Data processing by the server

[0701] The server processes accumulated basic information and emotional data to generate a travel plan. Specifically, a generative AI model running on the server uses this information as input parameters. The generative AI model includes an algorithm that generates a travel plan optimized for the user's emotions.

[0702] Input: Accumulated basic information and emotional data

[0703] Output: Optimized travel plan

[0704] Step 5:

[0705] Providing travel plans from the server to the terminal.

[0706] The generated travel plan is sent from the server to the terminal. The terminal formats the received plan for the user to review and displays it on the screen. The user can then use this travel plan as a basis to create their own travel plan.

[0707] Input: Generated travel plan

[0708] Output: Travel plan displayed on the device

[0709] In this way, data processing and calculations with specific inputs and outputs are performed at each processing step, resulting in a travel plan optimized for the user's emotions.

[0710] (Application Example 2)

[0711] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0712] Current travel plan suggestion systems can generate itineraries based on travelers' preferences, budgets, and desired destinations, but they cannot respond to travelers' emotions or real-time needs. Therefore, providing personalized itineraries that reflect individual needs and emotions is difficult. Furthermore, there are limited means for travelers to concretely visualize the generated itineraries, and the inability to simulate actual experiences during the planning process is another challenge.

[0713] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0714] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for recognizing and inputting the input information and emotional data in real time; means for storing and processing the input information and emotional data; means for generating an optimal itinerary that meets the traveler's needs and emotions based on the stored information and emotional data; and rendering means for providing the generated itinerary to the traveler and allowing them to experience it virtually. This makes it possible to generate and provide personalized itineraries that reflect the individual needs and emotions of the traveler. Furthermore, by allowing them to experience it virtually, the traveler can concretely experience the generated itinerary, making the formation of travel plans more realistic and specific.

[0715] "Traveler preferences" refer to the personal tastes of travelers, such as specific activities they want to experience, places they want to visit, and food they want to eat during their trip.

[0716] A "budget" is the maximum amount of money a traveler plans to spend on their trip.

[0717] "A region to visit" refers to a specific place or area that a traveler wishes to visit during their trip.

[0718] "Emotional data" refers to information about a traveler's emotional state, estimated from their facial expressions and tone of voice, acquired in real time through input devices such as cameras and microphones.

[0719] "Methods for real-time recognition and input" refers to technology that uses input devices such as cameras and microphones to instantly recognize the emotional state of travelers and incorporate that data into the system.

[0720] "Means for storage and processing" refers to technology that stores information and emotional data entered on a server, and analyzes and processes it to generate the optimal travel itinerary.

[0721] "Rendering means" refers to technologies and devices that visualize the generated itinerary in a virtual environment, enabling travelers to experience it virtually.

[0722] The travel plan suggestion system of the present invention inputs and analyzes the traveler's preferences, budget, desired destinations, and emotional data, and generates an optimal itinerary based on this information. This system includes a terminal, an emotional recognition engine, a server, and a virtual experience provision device.

[0723] 1. User input

[0724] The user first enters basic travel information via the device. This includes the traveler's preferences, budget, and desired destinations. Furthermore, the device is equipped with a camera and microphone, which are used to capture the user's facial expressions and voice in real time, thereby acquiring emotional data.

[0725] 2. Emotion recognition by an emotion engine

[0726] The emotion engine uses the device's camera and microphone to recognize emotions in real time from the user's facial expressions and voice. This involves using tools like TensorFlow and OpenCV to digitize the user's emotions and send them to a server. For example, it analyzes the facial expressions and tone of voice when the user expresses emotions such as "expectation," "anxiety," or "joy."

[0727] 3. Receiving and processing information by the server

[0728] The server receives basic traveler information and sentiment data sent from the terminal. This data is set using the input_preferences, input_budget, input_destination, and input_emotions methods. The server then stores this data and begins processing it.

[0729] 4. Server-driven itinerary generation

[0730] The server generates travel plans optimized for the traveler's emotions based on accumulated basic information and emotional data. For example, if the emotion engine determines that the user is seeking relaxation, the server will suggest a travel plan that includes relaxing tourist destinations and activities. A generative AI model is used to create the optimal itinerary based on prompt messages.

[0731] 5. Providing virtual experiences

[0732] The generated itinerary is sent from the server to the terminal. The terminal uses a virtual reality device (e.g., a VR headset) to virtually display the generated itinerary. This allows the user to virtually experience the destination before actually traveling. The following is an example of a prompt:

[0733] Example of a prompt:

[0734] The user is interested in sightseeing and dining, has a budget of 50,000 yen, and wants to visit Kyoto. They also currently want to relax. Based on this, please create a 3-day travel plan. The essential requirement is that it includes relaxing sightseeing spots and activities.

[0735] In this way, it becomes possible to provide personalized travel plans that meet the user's emotions and needs, and to form more concrete travel plans through virtual experiences.

[0736] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0737] Step 1:

[0738] User input of basic information

[0739] The user enters basic travel information (preferences, budget, desired destination) via the terminal's input screen. Here, the user enters their travel preferences (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto). This information is stored on the terminal and prepared as data to be later sent to the server.

[0740] input:

[0741] Traveler's preferences

[0742] budget

[0743] Areas I want to visit

[0744] output:

[0745] Basic information data accumulated by the device

[0746] Step 2:

[0747] Real-time recognition and input of emotional data

[0748] The device's camera and microphone capture the user's facial expressions and voice, acquiring emotional data in real time. An emotion recognition engine (e.g., a TensorFlow or OpenCV model) is used to analyze the user's emotions from the acquired video and audio data and convert it into data.

[0749] input:

[0750] User's facial expression

[0751] User feedback

[0752] output:

[0753] Analyzed emotional data

[0754] Step 3:

[0755] Sending data to the server

[0756] The device sends accumulated basic information data and real-time acquired sentiment data to the server. This data is packaged in JSON format or similar and sent to the server's API endpoint.

[0757] input:

[0758] Basic Information Data

[0759] Emotional data

[0760] output:

[0761] Data sent to the server

[0762] Step 4:

[0763] Data storage and processing by the server.

[0764] The server stores the received basic information data and emotion data in a database (e.g., Firebase). It uses the `input_preferences`, `input_budget`, `input_destination`, and `input_emotions` methods to store the data and perform data analysis based on it.

[0765] input:

[0766] Basic Information Data

[0767] Emotional data

[0768] output:

[0769] Data in the accumulated database

[0770] Step 5:

[0771] Itinerary generation

[0772] The server uses a generative AI model to generate the optimal itinerary based on the user's basic information and sentiment data. The generative AI model takes prompts such as the following as input and outputs the optimal itinerary:

[0773] Example of a prompt:

[0774] The user is interested in sightseeing and dining, has a budget of 50,000 yen, and wants to visit Kyoto. They also currently want to relax. Based on this, please create a 3-day travel plan. The essential requirement is that it includes relaxing sightseeing spots and activities.

[0775] input:

[0776] Basic Information Data

[0777] Emotional data

[0778] Prompt message

[0779] output:

[0780] Generated itinerary data

[0781] Step 6:

[0782] Sending itineraries and providing virtual experiences

[0783] The server sends the generated itinerary to the user's device. The device receives the itinerary data and uses a virtual experience device (e.g., a VR headset) to virtually experience the destination. This allows the user to experience the virtual environment of their travel destination in advance, helping them to finalize their travel plans.

[0784] input:

[0785] Generated itinerary data

[0786] output:

[0787] Itinerary data sent to the user's terminal

[0788] Virtual experience

[0789] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0790] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0791] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0792] [Third Embodiment]

[0793] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0794] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0795] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0796] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0797] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0798] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0799] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0800] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0801] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0802] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0803] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0804] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0805] The travel plan suggestion system of the present invention takes information about the traveler's preferences, budget, and desired destinations as input and generates an optimal travel plan based on that information. A specific embodiment of this system will be described below.

[0806] 1. User input

[0807] The user first enters information about their trip via a device. For example, they can enter the following information using a smartphone or computer:

[0808] Preferences (e.g., sightseeing, food, activities, etc.)

[0809] Budget (Example: 50,000 yen)

[0810] Areas you would like to visit (e.g., Kyoto)

[0811] 2. Receiving and processing information by the server

[0812] The information entered is sent from the terminal to the server via the internet. The server receives this information and stores and processes it appropriately. Specifically, the following processes are performed:

[0813] Use the `input_preferences` method to set user preference information.

[0814] Use the `input_budget` method to set the user's budget.

[0815] Use the `input_destination` method to set the region the user wants to visit.

[0816] 3. Server-driven itinerary generation

[0817] The server generates the optimal travel plan based on accumulated information. In this process, an AI algorithm is used to create an itinerary that best suits the user's individual needs and budget. For example, the following itinerary might be generated:

[0818] 3-day plan

[0819] Place visited: Kyoto

[0820] Budget: 50,000 yen

[0821] Day 1: Tourist spot A (Lunch: Restaurant X)

[0822] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0823] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0824] 4. Providing users with travel itineraries.

[0825] The generated travel plan is sent from the server to the terminal and provided to the user. The user can review the travel plan via the terminal and plan and execute the actual trip based on its contents.

[0826] For example, if a user enters that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto," the server receives this information and runs a travel plan generation algorithm. The server then provides the user with a "3-day sightseeing plan in Kyoto." This plan includes the total budget and the places to visit each day.

[0827] In this way, the travel plan proposal system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information.

[0828] The following describes the processing flow.

[0829] Step 1:

[0830] The user uses their device to input information about their trip. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto) into the input fields on the device.

[0831] Step 2:

[0832] The terminal receives the entered information and sends it to the server. The terminal transmits this information to the server in the appropriate format via the internet.

[0833] Step 3:

[0834] The server processes the information received from the terminal. First, the server creates an instance of the TravelGuideAI class. Then, it calls the following methods to set the information.

[0835] The `input_preferences` method is used to set user preference information.

[0836] The user's budget is set using the `input_budget` method.

[0837] Use the `input_destination` method to set the region you want to visit.

[0838] Step 4:

[0839] The server generates the optimal travel plan based on the information. Specifically, it uses the `generate_itinerary` method to create the travel plan. This method uses an AI algorithm to generate the best plan for the traveler based on accumulated preferences, budget, and destination information.

[0840] Step 5:

[0841] The server sends the generated travel plan to the device. The generated plan is created as a string and sent to the device via the internet.

[0842] Step 6:

[0843] The device displays the travel plan received from the server to the user. The user can view the travel plan on the device's screen.

[0844] Step 7:

[0845] Users review the provided travel plan, check details as needed, and proceed with planning their trip.

[0846] (Example 1)

[0847] Next, we will describe Example 1. 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."

[0848] Traditional travel plan suggestion systems were inefficient and failed to fully meet travelers' expectations because they required manual creation of optimal travel plans based on travelers' preferences, budgets, and desired destinations. Furthermore, they struggled to effectively process input information and quickly propose plans tailored to individual needs.

[0849] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0850] In this invention, the server includes means for receiving, storing, and processing input information; means for generating an optimal itinerary that meets the traveler's needs using a generative AI model based on the stored information; and means for sending generated prompt sentences to the generative AI model to generate a travel plan. This makes it possible to automatically generate and efficiently provide an optimal travel plan based on the information entered by the user.

[0851] "Traveler preferences" refer to the activities, places, and experiences that travelers want to enjoy during their trip.

[0852] "Budget" refers to the maximum amount of money a traveler plans to spend on their trip.

[0853] "Areas to visit" refers to specific places or regions that travelers wish to visit during their trip.

[0854] "Means of input" refers to the means by which travelers input travel-related information into the system, and specifically includes user terminals.

[0855] "Means of sending information to a server via the internet" refers to the means of sending information entered from a user terminal to a server via the internet.

[0856] "Means for storage and processing" refers to means for storing information received by the server and for analyzing and processing it as needed.

[0857] A "generative AI model" refers to an artificial intelligence model used to generate the optimal travel plan based on the input information.

[0858] A "prompt" refers to a text-based instruction input to a generative AI model, intended to provide the information that forms the basis of the generated plan.

[0859] "Means for generating travel plans" refers to methods for creating travel plans suitable for travelers using generative AI models.

[0860] The travel plan suggestion system of the present invention automatically generates and provides travel plans desired by travelers. This system collects information on travelers' preferences, budget, and desired destinations, and generates an optimal travel plan based on this information.

[0861] Entering information

[0862] First, the user enters travel information using a device (e.g., a smartphone or computer). Specific examples of information to be entered include the following:

[0863] Preferences (e.g., sightseeing, food, activities, etc.)

[0864] Budget (Example: 50,000 yen)

[0865] Areas you would like to visit (e.g., Kyoto)

[0866] The user accesses the system's input form from their terminal and enters this information. For example, the user might enter that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto."

[0867] Sending and receiving information

[0868] The terminal sends the information entered by the user to the server via the internet. The server receives the form data sent as a POST request, stores the information, and processes it.

[0869] Plan generation using generative AI models

[0870] The server generates the optimal travel plan based on the accumulated information. In this process, it uses a generation AI model (e.g., GPT-4). The server generates the travel plan by sending the following prompt messages to the generation AI model.

[0871] User input information:

[0872] Preferences: sightseeing, dining, activities

[0873] Budget: 50,000 yen

[0874] Area I want to visit: Kyoto

[0875] Based on the information above, please generate a 3-day Kyoto sightseeing plan. The plan should include the main sightseeing spots and lunch locations for each day.

[0876] The generative AI model generates a travel plan like the following based on the received prompt message.

[0877] 3-day plan

[0878] Place visited: Kyoto

[0879] Budget: 50,000 yen

[0880] Day 1: Tourist spot A (Lunch: Restaurant X)

[0881] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0882] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0883] Provision of the generated plan

[0884] The generated travel plan is sent from the server to the device and provided to the user. The server returns the generated plan to the device as a JSON response, and the device receives this information and displays it in a user-friendly format.

[0885] Users can review the plan provided via their device and then plan and execute their actual trip based on its contents.

[0886] In this way, the travel plan proposal system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information.

[0887] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0888] Step 1:

[0889] The user enters travel information. Specifically, the user uses a device (smartphone or computer) to enter the following information:

[0890] Input: Preferences (sightseeing, dining, activities), budget (50,000 yen), desired area to visit (Kyoto)

[0891] Output: The data is stored as input on the user's terminal.

[0892] The user opens a browser and accesses the input form of the travel plan suggestion system, entering information into each field. For example, they might enter "Sightseeing" and "Food" in the "Preferences" field, "50,000 yen" in the "Budget" field, and "Kyoto" in the "Desired Region" field.

[0893] Step 2:

[0894] The terminal transmits the information entered by the user to the server via the internet.

[0895] Input: User input data stored on the device

[0896] Output: POST request received by the server via the internet

[0897] Specifically, the user presses the submit button, and the form data is sent to the server as a POST request.

[0898] Step 3:

[0899] The server stores and processes the received information. The server receives this data and stores it in a database. The following methods are used:

[0900] Use the `input_preferences` method to set your preferences.

[0901] The budget is set using the input_budget method.

[0902] Use the `input_destination` method to set the region you want to visit.

[0903] Input: POST request containing user input data

[0904] Output: User travel information stored in the database

[0905] The server parses the POST request and imports the received data into the database. Specifically, it calls various methods to verify data integrity.

[0906] Step 4:

[0907] The server uses an AI model based on accumulated information to generate the optimal travel plan.

[0908] Input: User travel information stored in the database

[0909] Output: Prompt message sent to the generated AI model

[0910] The server sends the following prompt message to the generating AI model.

[0911] User input information:

[0912] Preferences: sightseeing, dining, activities

[0913] Budget: 50,000 yen

[0914] Area I want to visit: Kyoto

[0915] Based on the information above, please generate a 3-day Kyoto sightseeing plan. The plan should include the main sightseeing spots and lunch locations for each day.

[0916] The server generates this prompt message and sends it to the AI ​​model to request the generation of a travel plan.

[0917] Step 5:

[0918] The generative AI model generates a travel plan based on the received prompt text.

[0919] Input: Prompt message

[0920] Output: Generated travel plan

[0921] The generative AI model analyzes the prompt text and generates a travel plan based on the user's input. An example of a generated plan is shown below.

[0922] 3-day plan

[0923] Place visited: Kyoto

[0924] Budget: 50,000 yen

[0925] Day 1: Tourist spot A (Lunch: Restaurant X)

[0926] Day 2: Tourist spot B (Lunch: Restaurant Y)

[0927] Day 3: Tourist spot C (Lunch: Restaurant Z)

[0928] Step 6:

[0929] The server receives the generated travel plan and sends it to the user's device.

[0930] Input: Travel plan obtained from a generated AI model

[0931] Output: JSON response sent to the terminal

[0932] The server converts the generated travel plan into JSON format and sends the response to the terminal.

[0933] Step 7:

[0934] The device displays the received travel plan. Users can check the travel plan via the device.

[0935] Input: JSON response received from the server

[0936] Output: Travel plan displayed to the user

[0937] The device parses the received JSON response and displays the travel plan in a user-friendly format. This allows the user to plan and execute their actual trip based on the provided plan.

[0938] (Application Example 1)

[0939] Next, we will explain Application Example 1. In the following explanation, 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."

[0940] Traditional travel plan suggestion systems required users to make individual reservations based on their planned travel itineraries, a cumbersome process. Furthermore, a lack of proper budget management during the planning stage posed a risk of budget overruns during the actual trip. Additionally, there was a lack of a centralized system for managing travel-related payments.

[0941] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0942] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for storing and processing the inputted information; means for generating an optimal itinerary that meets the traveler's needs based on the stored information; means for completing reservations and payments for restaurants, tourist attractions, and activities based on the generated itinerary; and means for providing the generated itinerary to the traveler. This enables centralized management from travel plan generation to reservations and payments, eliminating cumbersome procedures for the user and allowing for accurate budget management.

[0943] A "traveler" is a person who plans and carries out a trip.

[0944] "Preferences" refer to a traveler's personal tastes and interests regarding what they want to enjoy during their trip.

[0945] "Budget" refers to the range of money a traveler can spend on their trip.

[0946] "Areas to visit" refers to specific places or areas that travelers wish to visit.

[0947] "Means of inputting information" refers to the methods or devices by which travelers provide information about their trip (preferences, budget, areas they wish to visit) to a system.

[0948] "Means for storing and processing information" refers to a method or apparatus for storing input information and performing necessary processing.

[0949] "Means for generating an optimal itinerary" refers to a method or device that creates the most suitable travel plan for travelers based on accumulated information.

[0950] "Means of completing booking and payment" refers to the method or device for making necessary bookings and paying for them based on the generated itinerary.

[0951] "Means of providing" refers to the method or device used to convey the generated itinerary information to the traveler.

[0952] The travel plan suggestion system of the present invention takes information about the traveler's preferences, budget, and desired destinations as input, generates an optimal travel plan based on that information, and then completes the booking and payment based on that plan. Embodiments of this system are described in detail below.

[0953] 1. User input

[0954] Users input information about their travels via their user devices, such as smartphones or personal computers. For example, the following information can be provided through the application:

[0955] Preferences (e.g., sightseeing, food, activities, etc.)

[0956] Budget (Example: 50,000 yen)

[0957] Areas you would like to visit (e.g., Kyoto)

[0958] 2. Receiving and processing information by the server

[0959] The information entered is transmitted from the user's terminal to the server via the internet. The server receives this information and stores and processes it appropriately. Specifically, the following processes are performed:

[0960] Users can set their preferences, budget, and desired travel destinations.

[0961] Subsequently, an AI algorithm is used to process the accumulated information and generate the most suitable travel plan for the traveler.

[0962] 3. Server-driven itinerary generation

[0963] The server generates the optimal travel plan based on accumulated information. In this process, AI algorithms are used to create an itinerary that best suits the user's individual needs and budget.

[0964] 4. Completion of booking and payment

[0965] Based on the generated itinerary, the server automatically makes reservations for restaurants, tourist attractions, and activities. It also provides a means to complete the associated payments.

[0966] 5. Providing users with travel itineraries.

[0967] The generated travel plan is sent from the server to the user's terminal, where the user can review it. The user then reviews the travel plan in detail via their terminal and plans and executes their actual trip based on its contents.

[0968] Specific example

[0969] For example, if a user enters that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto," the server receives this information and runs a travel plan generation algorithm. The generated plan includes sightseeing spots, restaurant reservations, and payment.

[0970] Example of a prompt:

[0971] User preferences: Sightseeing, Food

[0972] Budget: 80,000 yen

[0973] Destination: Okinawa

[0974] Based on this information, please generate an optimal 3-day travel plan. Include detailed sightseeing spots and restaurants to visit each day.

[0975] In this way, the travel plan suggestion system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information. Furthermore, by centrally managing travel reservations and payments, it significantly simplifies the user's travel preparation process.

[0976] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0977] Step 1:

[0978] Users input travel information using devices such as smartphones or computers. Specifically, they input information such as preferences (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto). The entered information is then sent from the device to the server.

[0979] Step 2:

[0980] The server receives user information sent from the terminal and stores it in a database. This data includes information about the user's preferences, budget, and desired travel destinations. The server saves this information and prepares for the next processing step.

[0981] Step 3:

[0982] The server retrieves accumulated information and uses AI algorithms to generate the optimal travel plan. Specifically, it selects tourist destinations, restaurants, and activities based on the user's preferences, budget, and desired regions, and then combines them to create a travel plan. Based on the input data, it determines the specific schedule and destinations for each day.

[0983] Step 4:

[0984] The server makes reservations for restaurants, tourist attractions, and activities based on the generated travel plan. Based on the reservation information for locations and activities selected by the AI ​​algorithm, it calls the APIs of each reservation site to confirm the booking. After the booking is complete, it also retrieves the information necessary for payment.

[0985] Step 5:

[0986] The server compiles the information on completed reservation procedures and completes the payment via the electronic payment system. It sends the payment information to the electronic payment API and retrieves confirmation information if the payment is successful.

[0987] Step 6:

[0988] The server sends the generated travel plan and booking / payment information to the user's terminal. The user can then view this information through their terminal. Specific travel plan details, booking confirmations, and payment confirmations are provided.

[0989] Step 7:

[0990] Users plan and execute their actual trip based on the submitted travel plan. They can ensure that each scheduled activity during their trip is carried out according to the information displayed on their device.

[0991] In this way, a system is realized that allows for seamless execution of everything from travel planning and booking to payment through the specific actions taken at each step.

[0992] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0993] The travel plan suggestion system of the present invention generates an optimal travel plan by taking into account the traveler's preferences, budget, and desired destinations, as well as the user's emotions. Embodiments of the present invention are described in detail below.

[0994] 1. User input

[0995] The user first enters basic travel information via the device. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired travel area (e.g., Kyoto) on the device's input screen. The device also has a camera and microphone, which are used to capture the user's facial expressions and voice in real time.

[0996] 2. Emotion recognition by an emotion engine

[0997] The emotion engine uses the device's camera and microphone to recognize emotions in real time from the user's facial expressions and voice. For example, it analyzes the facial expressions and tone of voice that express emotions such as "expectation," "anxiety," and "joy," and converts this information into data. This emotion data is then sent to the server along with other input information.

[0998] 3. Receiving and processing information by the server

[0999] The server receives and stores basic user information (preferences, budget, desired destinations) and sentiment data sent from the terminal. Specifically, it uses the following methods to set the information.

[1000] The `input_preferences` method is used to set user preference information.

[1001] The user's budget is set using the `input_budget` method.

[1002] The `input_destination` method is used to set the region the user wants to visit.

[1003] The `input_emotions` method is used to set the user's emotion data.

[1004] 4. Server-driven itinerary generation

[1005] The server generates travel plans optimized for the user's emotions based on accumulated basic information and emotional data. For example, if the emotional engine determines that the user is seeking relaxation, the server adjusts the travel plan to suggest relaxing tourist destinations and activities. This allows for the provision of more personalized travel plans.

[1006] 3-day plan

[1007] Place visited: Kyoto

[1008] Budget: 50,000 yen

[1009] Day 1: Relaxing tourist spot A (Lunch: Relaxing restaurant X)

[1010] Day 2: Pleasant tourist spot B (Lunch: Relaxing restaurant Y)

[1011] Day 3: Refreshing tourist spot C (Lunch: Refreshing restaurant Z)

[1012] 5. Providing users with travel itineraries.

[1013] The generated travel plan is sent from the server to the terminal and provided to the user. The user can view the travel plan on the terminal screen and proceed with their actual travel plans based on its contents.

[1014] For example, if a user is interested in "sightseeing" and "food," has a budget of 50,000 yen, and wants to visit "Kyoto," and the emotion engine also detects the user's desire to "relax," the server will process this information comprehensively and provide the user with a three-day travel plan centered around relaxing places and activities. This plan will include content that takes the user's feelings into consideration as much as possible within the budget.

[1015] Thus, the travel plan suggestion system of the present invention generates and provides more personalized, efficient, and fulfilling travel plans based on input information including the user's emotions.

[1016] The following describes the processing flow.

[1017] Step 1:

[1018] Users input information about their trip using their device. Specifically, users enter their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destinations (e.g., Kyoto) on the device's input screen. Real-time data of the user's facial expressions and voice is also acquired through the camera and microphone.

[1019] Step 2:

[1020] The device receives the entered information and sentiment data and sends it to the server via the internet. The device packages the entered preferences, budget, destination, and sentiment data and sends it.

[1021] Step 3:

[1022] The server receives information and emotion data sent from the terminal and processes them. First, the server creates an instance of the TravelGuideAI class and sets the information by calling the following methods.

[1023] The `input_preferences` method is used to set user preference information.

[1024] The user's budget is set using the `input_budget` method.

[1025] The `input_destination` method is used to set the region the user wants to visit.

[1026] The `input_emotions` method is used to set the user's emotion data.

[1027] Step 4:

[1028] The server generates the optimal travel plan based on the information. By calling the `generate_itinerary` method, the AI ​​algorithm generates the best plan for the traveler using accumulated preferences, budget, destination information, and sentiment data. For example, if the server detects a desire to relax, it will create a plan that includes relaxing places and activities.

[1029] Step 5:

[1030] The server sends the generated travel plan to the terminal in data format. For example, this might involve generating and sending the details of a three-day travel plan in string format.

[1031] Step 6:

[1032] The device analyzes the travel plan data received from the server and displays it in a user-friendly format. The travel plan details are displayed on the device screen, allowing the user to review them.

[1033] Step 7:

[1034] Users review the provided travel plans, check details as needed, and proceed with planning their trip. Based on the displayed plan, users make the actual arrangements and preparations for their trip.

[1035] Thus, the invention's system generates and provides individually optimized travel plans using user input information and real-time sentiment data.

[1036] (Example 2)

[1037] Next, we will describe Example 2. 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."

[1038] Traditional travel plan suggestion systems generate plans based only on basic traveler information (preferences, budget, and desired destinations), making it difficult to provide itineraries optimized for travelers' emotions and moods. This made it challenging to propose travel plans that would satisfy travelers.

[1039] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1040] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for recognizing the traveler's emotions using the terminal's camera and microphone; means for storing and processing the input information and recognized emotion data; means for generating an itinerary optimized for the traveler's emotions based on the stored information and recognized emotion data; and means for providing the generated itinerary to the traveler. This makes it possible to provide a personalized travel plan that matches the traveler's emotions and mood.

[1041] "Traveler preferences" refer to the types of activities and experiences that travelers want to enjoy during their trip. Examples include sightseeing, dining, and activities.

[1042] "Budget" refers to the amount of money a traveler plans to spend on their trip.

[1043] "A region you want to visit" refers to a specific geographical location that a traveler has designated as their travel destination.

[1044] A "device" refers to an electronic device used by a user to input travel-related information. This includes, for example, smartphones and tablets.

[1045] "Camera and microphone" refers to the hardware installed in a device for capturing video and audio.

[1046] "Means of recognizing emotions" refers to technology that uses the device's camera and microphone to analyze a traveler's facial expressions and tone of voice, and identifies their emotions in real time.

[1047] "Entered information" refers to data entered by travelers into their devices regarding their preferences, budget, and desired destinations.

[1048] "Recognized emotion data" refers to data about travelers' emotions obtained through means of recognizing emotions.

[1049] A "server" refers to a remote computer system that stores and processes input information and recognized emotion data.

[1050] "Means for storage and processing" refers to technologies that store travelers' input information and emotional data in databases, and then process and analyze this data.

[1051] "Methods for generating itineraries optimized for travelers' emotions" refers to technology that creates optimal travel plans that match travelers' emotions and moods based on input information and recognized emotional data.

[1052] "Means of providing generated itineraries" refers to technology that sends a travel plan generated on a server to a user's device for them to review and display.

[1053] The travel plan suggestion system of the present invention generates an optimal travel plan by taking into account the traveler's preferences, budget, and desired destinations, as well as the user's emotions. Embodiments of the present invention are described in detail below.

[1054] First, the user enters basic travel information via the device. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto) on the device's input screen. The device is equipped with a camera and microphone, which are used to capture the user's facial expressions and voice in real time.

[1055] Next, the emotion engine uses the device's camera and microphone to recognize the user's emotions in real time from their facial expressions and voice. For example, it analyzes the facial expressions and tone of voice that express emotions such as "expectation," "anxiety," and "joy," and converts this information into data. This emotion data is also sent to the server along with other input information.

[1056] Subsequently, the server receives and stores the user's basic information (preferences, budget, desired destinations) and sentiment data sent from the terminal. Specifically, the information is set using the following methods.

[1057] The `input_preferences` method is used to set user preference information.

[1058] The user's budget is set using the `input_budget` method.

[1059] The `input_destination` method is used to set the region the user wants to visit.

[1060] The `input_emotions` method is used to set the user's emotion data.

[1061] The server generates travel plans optimized for the user's emotions based on accumulated basic information and emotional data. Specifically, a generative AI model running on the server processes the user's "preferences," "budget," "desired destinations," and "emotional data" as input parameters. This model includes algorithms that, if it determines that the user is seeking relaxation, suggest relaxing tourist destinations and activities.

[1062] If a user is interested in "sightseeing" and "food," has a budget of 50,000 yen, and wants to visit "Kyoto," and the emotion engine also detects the user's desire to "relax," the server will process this information comprehensively and generate a 3-day travel plan centered on relaxing places and activities, which will then be provided to the user. This plan will include content that takes the user's feelings into consideration as much as possible within the budget.

[1063] Example input prompt:

[1064] "I'm planning a trip to Kyoto. I enjoy sightseeing and dining, and my budget is 50,000 yen. I'd like a plan that focuses on relaxing places."

[1065] The generated travel plan is sent from the server to the terminal. The terminal converts the received information into a format that the user can view and displays it on the screen. The user can then review the travel plan on the terminal screen and create their own travel plan based on its contents.

[1066] Thus, the travel plan suggestion system of the present invention provides a more personalized, efficient, and fulfilling travel plan based on input information including the user's emotions.

[1067] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1068] Step 1:

[1069] User input

[1070] The user uses their device to enter basic travel information. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired travel area (e.g., Kyoto) on the device's input screen. The entered information is temporarily stored on the device. The entered data is saved in text format.

[1071] Input: Travel preferences, budget, areas you want to visit

[1072] Output: Temporarily save input information

[1073] Step 2:

[1074] Emotion recognition by an emotion engine

[1075] The device uses its camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this captured data to recognize the user's emotions. The emotion data is then converted into text or numerical data. Specifically, facial recognition algorithms and voice analysis algorithms are used.

[1076] Input: User facial expression data, voice data

[1077] Output: Emotional data (e.g., expectation, joy, anxiety)

[1078] Step 3:

[1079] Receiving information from the server

[1080] The terminal sends the entered basic information and sentiment data to the server. The server receives this information and stores it in a database. The data is configured using the corresponding method.

[1081] Input: Basic information (preferences, budget, places to visit), sentiment data

[1082] Output: Data storage on the server

[1083] Step 4:

[1084] Data processing by the server

[1085] The server processes accumulated basic information and emotional data to generate a travel plan. Specifically, a generative AI model running on the server uses this information as input parameters. The generative AI model includes an algorithm that generates a travel plan optimized for the user's emotions.

[1086] Input: Accumulated basic information and emotional data

[1087] Output: Optimized travel plan

[1088] Step 5:

[1089] Providing travel plans from the server to the terminal.

[1090] The generated travel plan is sent from the server to the terminal. The terminal formats the received plan for the user to review and displays it on the screen. The user can then use this travel plan as a basis to create their own travel plan.

[1091] Input: Generated travel plan

[1092] Output: Travel plan displayed on the device

[1093] In this way, data processing and calculations with specific inputs and outputs are performed at each processing step, resulting in a travel plan optimized for the user's emotions.

[1094] (Application Example 2)

[1095] Next, we will explain application example 2. In the following explanation, 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."

[1096] Current travel plan suggestion systems can generate itineraries based on travelers' preferences, budgets, and desired destinations, but they cannot respond to travelers' emotions or real-time needs. Therefore, providing personalized itineraries that reflect individual needs and emotions is difficult. Furthermore, there are limited means for travelers to concretely visualize the generated itineraries, and the inability to simulate actual experiences during the planning process is another challenge.

[1097] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1098] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for recognizing and inputting the input information and emotional data in real time; means for storing and processing the input information and emotional data; means for generating an optimal itinerary that meets the traveler's needs and emotions based on the stored information and emotional data; and rendering means for providing the generated itinerary to the traveler and allowing them to experience it virtually. This makes it possible to generate and provide personalized itineraries that reflect the individual needs and emotions of the traveler. Furthermore, by allowing them to experience it virtually, the traveler can concretely experience the generated itinerary, making the formation of travel plans more realistic and specific.

[1099] "Traveler preferences" refer to the personal tastes of travelers, such as specific activities they want to experience, places they want to visit, and food they want to eat during their trip.

[1100] A "budget" is the maximum amount of money a traveler plans to spend on their trip.

[1101] "A region to visit" refers to a specific place or area that a traveler wishes to visit during their trip.

[1102] "Emotional data" refers to information about a traveler's emotional state, estimated from their facial expressions and tone of voice, acquired in real time through input devices such as cameras and microphones.

[1103] "Methods for real-time recognition and input" refers to technology that uses input devices such as cameras and microphones to instantly recognize the emotional state of travelers and incorporate that data into the system.

[1104] "Means for storage and processing" refers to technology that stores information and emotional data entered on a server, and analyzes and processes it to generate the optimal travel itinerary.

[1105] "Rendering means" refers to technologies and devices that visualize the generated itinerary in a virtual environment, enabling travelers to experience it virtually.

[1106] The travel plan suggestion system of the present invention inputs and analyzes the traveler's preferences, budget, desired destinations, and emotional data, and generates an optimal itinerary based on this information. This system includes a terminal, an emotional recognition engine, a server, and a virtual experience provision device.

[1107] 1. User input

[1108] The user first enters basic travel information via the device. This includes the traveler's preferences, budget, and desired destinations. Furthermore, the device is equipped with a camera and microphone, which are used to capture the user's facial expressions and voice in real time, thereby acquiring emotional data.

[1109] 2. Emotion recognition by an emotion engine

[1110] The emotion engine uses the device's camera and microphone to recognize emotions in real time from the user's facial expressions and voice. This involves using tools like TensorFlow and OpenCV to digitize the user's emotions and send them to a server. For example, it analyzes the facial expressions and tone of voice when the user expresses emotions such as "expectation," "anxiety," or "joy."

[1111] 3. Receiving and processing information by the server

[1112] The server receives basic traveler information and sentiment data sent from the terminal. This data is set using the input_preferences, input_budget, input_destination, and input_emotions methods. The server then stores this data and begins processing it.

[1113] 4. Server-driven itinerary generation

[1114] The server generates travel plans optimized for the traveler's emotions based on accumulated basic information and emotional data. For example, if the emotion engine determines that the user is seeking relaxation, the server will suggest a travel plan that includes relaxing tourist destinations and activities. A generative AI model is used to create the optimal itinerary based on prompt messages.

[1115] 5. Providing virtual experiences

[1116] The generated itinerary is sent from the server to the terminal. The terminal uses a virtual reality device (e.g., a VR headset) to virtually display the generated itinerary. This allows the user to virtually experience the destination before actually traveling. The following is an example of a prompt:

[1117] Example of a prompt:

[1118] The user is interested in sightseeing and dining, has a budget of 50,000 yen, and wants to visit Kyoto. They also currently want to relax. Based on this, please create a 3-day travel plan. The essential requirement is that it includes relaxing sightseeing spots and activities.

[1119] In this way, it becomes possible to provide personalized travel plans that meet the user's emotions and needs, and to form more concrete travel plans through virtual experiences.

[1120] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1121] Step 1:

[1122] User input of basic information

[1123] The user enters basic travel information (preferences, budget, desired destination) via the terminal's input screen. Here, the user enters their travel preferences (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto). This information is stored on the terminal and prepared as data to be later sent to the server.

[1124] input:

[1125] Traveler's preferences

[1126] budget

[1127] Areas I want to visit

[1128] output:

[1129] Basic information data accumulated by the device

[1130] Step 2:

[1131] Real-time recognition and input of emotional data

[1132] The device's camera and microphone capture the user's facial expressions and voice, acquiring emotional data in real time. An emotion recognition engine (e.g., a TensorFlow or OpenCV model) is used to analyze the user's emotions from the acquired video and audio data and convert it into data.

[1133] input:

[1134] User's facial expression

[1135] User feedback

[1136] output:

[1137] Analyzed emotional data

[1138] Step 3:

[1139] Sending data to the server

[1140] The device sends accumulated basic information data and real-time acquired sentiment data to the server. This data is packaged in JSON format or similar and sent to the server's API endpoint.

[1141] input:

[1142] Basic Information Data

[1143] Emotional data

[1144] output:

[1145] Data sent to the server

[1146] Step 4:

[1147] Data storage and processing by the server.

[1148] The server stores the received basic information data and emotion data in a database (e.g., Firebase). It uses the `input_preferences`, `input_budget`, `input_destination`, and `input_emotions` methods to store the data and perform data analysis based on it.

[1149] input:

[1150] Basic Information Data

[1151] Emotional data

[1152] output:

[1153] Data in the accumulated database

[1154] Step 5:

[1155] Itinerary generation

[1156] The server uses a generative AI model to generate the optimal itinerary based on the user's basic information and sentiment data. The generative AI model takes prompts such as the following as input and outputs the optimal itinerary:

[1157] Example of a prompt:

[1158] The user is interested in sightseeing and dining, has a budget of 50,000 yen, and wants to visit Kyoto. They also currently want to relax. Based on this, please create a 3-day travel plan. The essential requirement is that it includes relaxing sightseeing spots and activities.

[1159] input:

[1160] Basic Information Data

[1161] Emotional data

[1162] Prompt message

[1163] output:

[1164] Generated itinerary data

[1165] Step 6:

[1166] Sending itineraries and providing virtual experiences

[1167] The server sends the generated itinerary to the user's device. The device receives the itinerary data and uses a virtual experience device (e.g., a VR headset) to virtually experience the destination. This allows the user to experience the virtual environment of their travel destination in advance, helping them to finalize their travel plans.

[1168] input:

[1169] Generated itinerary data

[1170] output:

[1171] Itinerary data sent to the user's terminal

[1172] Virtual experience

[1173] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1174] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1175] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1176] [Fourth Embodiment]

[1177] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1178] As shown in Figure 7, the 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.

[1179] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1180] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1181] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1182] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1183] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1184] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1185] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1186] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[1187] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1188] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1189] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1190] The travel plan suggestion system of the present invention takes information about the traveler's preferences, budget, and desired destinations as input and generates an optimal travel plan based on that information. A specific embodiment of this system will be described below.

[1191] 1. User input

[1192] The user first enters information about their trip via a device. For example, they can enter the following information using a smartphone or computer:

[1193] Preferences (e.g., sightseeing, food, activities, etc.)

[1194] Budget (Example: 50,000 yen)

[1195] Areas you would like to visit (e.g., Kyoto)

[1196] 2. Receiving and processing information by the server

[1197] The information entered is sent from the terminal to the server via the internet. The server receives this information and stores and processes it appropriately. Specifically, the following processes are performed:

[1198] Use the `input_preferences` method to set user preference information.

[1199] Use the `input_budget` method to set the user's budget.

[1200] Use the `input_destination` method to set the region the user wants to visit.

[1201] 3. Server-driven itinerary generation

[1202] The server generates the optimal travel plan based on accumulated information. In this process, an AI algorithm is used to create an itinerary that best suits the user's individual needs and budget. For example, the following itinerary might be generated:

[1203] 3-day plan

[1204] Place visited: Kyoto

[1205] Budget: 50,000 yen

[1206] Day 1: Tourist spot A (Lunch: Restaurant X)

[1207] Day 2: Tourist spot B (Lunch: Restaurant Y)

[1208] Day 3: Tourist spot C (Lunch: Restaurant Z)

[1209] 4. Providing users with travel itineraries.

[1210] The generated travel plan is sent from the server to the terminal and provided to the user. The user can review the travel plan via the terminal and plan and execute the actual trip based on its contents.

[1211] For example, if a user enters that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto," the server receives this information and runs a travel plan generation algorithm. The server then provides the user with a "3-day sightseeing plan in Kyoto." This plan includes the total budget and the places to visit each day.

[1212] In this way, the travel plan proposal system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information.

[1213] The following describes the processing flow.

[1214] Step 1:

[1215] The user uses their device to input information about their trip. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto) into the input fields on the device.

[1216] Step 2:

[1217] The terminal receives the entered information and sends it to the server. The terminal transmits this information to the server in the appropriate format via the internet.

[1218] Step 3:

[1219] The server processes the information received from the terminal. First, the server creates an instance of the TravelGuideAI class. Then, it calls the following methods to set the information.

[1220] The `input_preferences` method is used to set user preference information.

[1221] The user's budget is set using the `input_budget` method.

[1222] Use the `input_destination` method to set the region you want to visit.

[1223] Step 4:

[1224] The server generates the optimal travel plan based on the information. Specifically, it uses the `generate_itinerary` method to create the travel plan. This method uses an AI algorithm to generate the best plan for the traveler based on accumulated preferences, budget, and destination information.

[1225] Step 5:

[1226] The server sends the generated travel plan to the device. The generated plan is created as a string and sent to the device via the internet.

[1227] Step 6:

[1228] The device displays the travel plan received from the server to the user. The user can view the travel plan on the device's screen.

[1229] Step 7:

[1230] Users review the provided travel plan, check details as needed, and proceed with planning their trip.

[1231] (Example 1)

[1232] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1233] Traditional travel plan suggestion systems were inefficient and failed to fully meet travelers' expectations because they required manual creation of optimal travel plans based on travelers' preferences, budgets, and desired destinations. Furthermore, they struggled to effectively process input information and quickly propose plans tailored to individual needs.

[1234] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1235] In this invention, the server includes means for receiving, storing, and processing input information; means for generating an optimal itinerary that meets the traveler's needs using a generative AI model based on the stored information; and means for sending generated prompt sentences to the generative AI model to generate a travel plan. This makes it possible to automatically generate and efficiently provide an optimal travel plan based on the information entered by the user.

[1236] "Traveler preferences" refer to the activities, places, and experiences that travelers want to enjoy during their trip.

[1237] "Budget" refers to the maximum amount of money a traveler plans to spend on their trip.

[1238] "Areas to visit" refers to specific places or regions that travelers wish to visit during their trip.

[1239] "Means of input" refers to the means by which travelers input travel-related information into the system, and specifically includes user terminals.

[1240] "Means of sending information to a server via the internet" refers to the means of sending information entered from a user terminal to a server via the internet.

[1241] "Means for storage and processing" refers to means for storing information received by the server and for analyzing and processing it as needed.

[1242] A "generative AI model" refers to an artificial intelligence model used to generate the optimal travel plan based on the input information.

[1243] A "prompt" refers to a text-based instruction input to a generative AI model, intended to provide the information that forms the basis of the generated plan.

[1244] "Means for generating travel plans" refers to methods for creating travel plans suitable for travelers using generative AI models.

[1245] The travel plan suggestion system of the present invention automatically generates and provides travel plans desired by travelers. This system collects information on travelers' preferences, budget, and desired destinations, and generates an optimal travel plan based on this information.

[1246] Entering information

[1247] First, the user enters travel information using a device (e.g., a smartphone or computer). Specific examples of information to be entered include the following:

[1248] Preferences (e.g., sightseeing, food, activities, etc.)

[1249] Budget (Example: 50,000 yen)

[1250] Areas you would like to visit (e.g., Kyoto)

[1251] The user accesses the system's input form from their terminal and enters this information. For example, the user might enter that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto."

[1252] Sending and receiving information

[1253] The terminal sends the information entered by the user to the server via the internet. The server receives the form data sent as a POST request, stores the information, and processes it.

[1254] Plan generation using generative AI models

[1255] The server generates the optimal travel plan based on the accumulated information. In this process, it uses a generation AI model (e.g., GPT-4). The server generates the travel plan by sending the following prompt messages to the generation AI model.

[1256] User input information:

[1257] Preferences: sightseeing, dining, activities

[1258] Budget: 50,000 yen

[1259] Area I want to visit: Kyoto

[1260] Based on the information above, please generate a 3-day Kyoto sightseeing plan. The plan should include the main sightseeing spots and lunch locations for each day.

[1261] The generative AI model generates a travel plan like the following based on the received prompt message.

[1262] 3-day plan

[1263] Place visited: Kyoto

[1264] Budget: 50,000 yen

[1265] Day 1: Tourist spot A (Lunch: Restaurant X)

[1266] Day 2: Tourist spot B (Lunch: Restaurant Y)

[1267] Day 3: Tourist spot C (Lunch: Restaurant Z)

[1268] Provision of the generated plan

[1269] The generated travel plan is sent from the server to the device and provided to the user. The server returns the generated plan to the device as a JSON response, and the device receives this information and displays it in a user-friendly format.

[1270] Users can review the plan provided via their device and then plan and execute their actual trip based on its contents.

[1271] In this way, the travel plan proposal system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information.

[1272] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1273] Step 1:

[1274] The user enters travel information. Specifically, the user uses a device (smartphone or computer) to enter the following information:

[1275] Input: Preferences (sightseeing, dining, activities), budget (50,000 yen), desired area to visit (Kyoto)

[1276] Output: The data is stored as input on the user's terminal.

[1277] The user opens a browser and accesses the input form of the travel plan suggestion system, entering information into each field. For example, they might enter "Sightseeing" and "Food" in the "Preferences" field, "50,000 yen" in the "Budget" field, and "Kyoto" in the "Desired Region" field.

[1278] Step 2:

[1279] The terminal transmits the information entered by the user to the server via the internet.

[1280] Input: User input data stored on the device

[1281] Output: POST request received by the server via the internet

[1282] Specifically, the user presses the submit button, and the form data is sent to the server as a POST request.

[1283] Step 3:

[1284] The server stores and processes the received information. The server receives this data and stores it in a database. The following methods are used:

[1285] Use the `input_preferences` method to set your preferences.

[1286] The budget is set using the input_budget method.

[1287] Use the `input_destination` method to set the region you want to visit.

[1288] Input: POST request containing user input data

[1289] Output: User travel information stored in the database

[1290] The server parses the POST request and imports the received data into the database. Specifically, it calls various methods to verify data integrity.

[1291] Step 4:

[1292] The server uses an AI model based on accumulated information to generate the optimal travel plan.

[1293] Input: User travel information stored in the database

[1294] Output: Prompt message sent to the generated AI model

[1295] The server sends the following prompt message to the generating AI model.

[1296] User input information:

[1297] Preferences: sightseeing, dining, activities

[1298] Budget: 50,000 yen

[1299] Area I want to visit: Kyoto

[1300] Based on the information above, please generate a 3-day Kyoto sightseeing plan. The plan should include the main sightseeing spots and lunch locations for each day.

[1301] The server generates this prompt message and sends it to the AI ​​model to request the generation of a travel plan.

[1302] Step 5:

[1303] The generative AI model generates a travel plan based on the received prompt text.

[1304] Input: Prompt message

[1305] Output: Generated travel plan

[1306] The generative AI model analyzes the prompt text and generates a travel plan based on the user's input. An example of a generated plan is shown below.

[1307] 3-day plan

[1308] Place visited: Kyoto

[1309] Budget: 50,000 yen

[1310] Day 1: Tourist spot A (Lunch: Restaurant X)

[1311] Day 2: Tourist spot B (Lunch: Restaurant Y)

[1312] Day 3: Tourist spot C (Lunch: Restaurant Z)

[1313] Step 6:

[1314] The server receives the generated travel plan and sends it to the user's device.

[1315] Input: Travel plan obtained from a generated AI model

[1316] Output: JSON response sent to the terminal

[1317] The server converts the generated travel plan into JSON format and sends the response to the terminal.

[1318] Step 7:

[1319] The device displays the received travel plan. Users can check the travel plan via the device.

[1320] Input: JSON response received from the server

[1321] Output: Travel plan displayed to the user

[1322] The device parses the received JSON response and displays the travel plan in a user-friendly format. This allows the user to plan and execute their actual trip based on the provided plan.

[1323] (Application Example 1)

[1324] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1325] Traditional travel plan suggestion systems required users to make individual reservations based on their planned travel itineraries, a cumbersome process. Furthermore, a lack of proper budget management during the planning stage posed a risk of budget overruns during the actual trip. Additionally, there was a lack of a centralized system for managing travel-related payments.

[1326] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1327] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for storing and processing the inputted information; means for generating an optimal itinerary that meets the traveler's needs based on the stored information; means for completing reservations and payments for restaurants, tourist attractions, and activities based on the generated itinerary; and means for providing the generated itinerary to the traveler. This enables centralized management from travel plan generation to reservations and payments, eliminating cumbersome procedures for the user and allowing for accurate budget management.

[1328] A "traveler" is a person who plans and carries out a trip.

[1329] "Preferences" refer to a traveler's personal tastes and interests regarding what they want to enjoy during their trip.

[1330] "Budget" refers to the range of money a traveler can spend on their trip.

[1331] "Areas to visit" refers to specific places or areas that travelers wish to visit.

[1332] "Means of inputting information" refers to the methods or devices by which travelers provide information about their trip (preferences, budget, areas they wish to visit) to a system.

[1333] "Means for storing and processing information" refers to a method or apparatus for storing input information and performing necessary processing.

[1334] "Means for generating an optimal itinerary" refers to a method or device that creates the most suitable travel plan for travelers based on accumulated information.

[1335] "Means of completing booking and payment" refers to the method or device for making necessary bookings and paying for them based on the generated itinerary.

[1336] "Means of providing" refers to the method or device used to convey the generated itinerary information to the traveler.

[1337] The travel plan suggestion system of the present invention takes information about the traveler's preferences, budget, and desired destinations as input, generates an optimal travel plan based on that information, and then completes the booking and payment based on that plan. Embodiments of this system are described in detail below.

[1338] 1. User input

[1339] Users input information about their travels via their user devices, such as smartphones or personal computers. For example, the following information can be provided through the application:

[1340] Preferences (e.g., sightseeing, food, activities, etc.)

[1341] Budget (Example: 50,000 yen)

[1342] Areas you would like to visit (e.g., Kyoto)

[1343] 2. Receiving and processing information by the server

[1344] The information entered is transmitted from the user's terminal to the server via the internet. The server receives this information and stores and processes it appropriately. Specifically, the following processes are performed:

[1345] Users can set their preferences, budget, and desired travel destinations.

[1346] Subsequently, an AI algorithm is used to process the accumulated information and generate the most suitable travel plan for the traveler.

[1347] 3. Server-driven itinerary generation

[1348] The server generates the optimal travel plan based on accumulated information. In this process, AI algorithms are used to create an itinerary that best suits the user's individual needs and budget.

[1349] 4. Completion of booking and payment

[1350] Based on the generated itinerary, the server automatically makes reservations for restaurants, tourist attractions, and activities. It also provides a means to complete the associated payments.

[1351] 5. Providing users with travel itineraries.

[1352] The generated travel plan is sent from the server to the user's terminal, where the user can review it. The user then reviews the travel plan in detail via their terminal and plans and executes their actual trip based on its contents.

[1353] Specific example

[1354] For example, if a user enters that they are interested in "sightseeing" and "dining," have a budget of 50,000 yen, and want to visit "Kyoto," the server receives this information and runs a travel plan generation algorithm. The generated plan includes sightseeing spots, restaurant reservations, and payment.

[1355] Example of a prompt:

[1356] User preferences: Sightseeing, Food

[1357] Budget: 80,000 yen

[1358] Destination: Okinawa

[1359] Based on this information, please generate an optimal 3-day travel plan. Include detailed sightseeing spots and restaurants to visit each day.

[1360] In this way, the travel plan suggestion system of the present invention realizes the function of automatically generating and providing efficient and comprehensive travel plans based on user input information. Furthermore, by centrally managing travel reservations and payments, it significantly simplifies the user's travel preparation process.

[1361] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1362] Step 1:

[1363] Users input travel information using devices such as smartphones or computers. Specifically, they input information such as preferences (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto). The entered information is then sent from the device to the server.

[1364] Step 2:

[1365] The server receives user information sent from the terminal and stores it in a database. This data includes information about the user's preferences, budget, and desired travel destinations. The server saves this information and prepares for the next processing step.

[1366] Step 3:

[1367] The server retrieves accumulated information and uses AI algorithms to generate the optimal travel plan. Specifically, it selects tourist destinations, restaurants, and activities based on the user's preferences, budget, and desired regions, and then combines them to create a travel plan. Based on the input data, it determines the specific schedule and destinations for each day.

[1368] Step 4:

[1369] The server makes reservations for restaurants, tourist attractions, and activities based on the generated travel plan. Based on the reservation information for locations and activities selected by the AI ​​algorithm, it calls the APIs of each reservation site to confirm the booking. After the booking is complete, it also retrieves the information necessary for payment.

[1370] Step 5:

[1371] The server compiles the information on completed reservation procedures and completes the payment via the electronic payment system. It sends the payment information to the electronic payment API and retrieves confirmation information if the payment is successful.

[1372] Step 6:

[1373] The server sends the generated travel plan and booking / payment information to the user's terminal. The user can then view this information through their terminal. Specific travel plan details, booking confirmations, and payment confirmations are provided.

[1374] Step 7:

[1375] Users plan and execute their actual trip based on the submitted travel plan. They can ensure that each scheduled activity during their trip is carried out according to the information displayed on their device.

[1376] In this way, a system is realized that allows for seamless execution of everything from travel planning and booking to payment through the specific actions taken at each step.

[1377] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1378] The travel plan suggestion system of the present invention generates an optimal travel plan by taking into account the traveler's preferences, budget, and desired destinations, as well as the user's emotions. Embodiments of the present invention are described in detail below.

[1379] 1. User input

[1380] The user first enters basic travel information via the device. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired travel area (e.g., Kyoto) on the device's input screen. The device also has a camera and microphone, which are used to capture the user's facial expressions and voice in real time.

[1381] 2. Emotion recognition by an emotion engine

[1382] The emotion engine uses the device's camera and microphone to recognize emotions in real time from the user's facial expressions and voice. For example, it analyzes the facial expressions and tone of voice that express emotions such as "expectation," "anxiety," and "joy," and converts this information into data. This emotion data is then sent to the server along with other input information.

[1383] 3. Receiving and processing information by the server

[1384] The server receives and stores basic user information (preferences, budget, desired destinations) and sentiment data sent from the terminal. Specifically, it uses the following methods to set the information.

[1385] The `input_preferences` method is used to set user preference information.

[1386] The user's budget is set using the `input_budget` method.

[1387] The `input_destination` method is used to set the region the user wants to visit.

[1388] The `input_emotions` method is used to set the user's emotion data.

[1389] 4. Server-driven itinerary generation

[1390] The server generates travel plans optimized for the user's emotions based on accumulated basic information and emotional data. For example, if the emotional engine determines that the user is seeking relaxation, the server adjusts the travel plan to suggest relaxing tourist destinations and activities. This allows for the provision of more personalized travel plans.

[1391] 3-day plan

[1392] Place visited: Kyoto

[1393] Budget: 50,000 yen

[1394] Day 1: Relaxing tourist spot A (Lunch: Relaxing restaurant X)

[1395] Day 2: Pleasant tourist spot B (Lunch: Relaxing restaurant Y)

[1396] Day 3: Refreshing tourist spot C (Lunch: Refreshing restaurant Z)

[1397] 5. Providing users with travel itineraries.

[1398] The generated travel plan is sent from the server to the terminal and provided to the user. The user can view the travel plan on the terminal screen and proceed with their actual travel plans based on its contents.

[1399] For example, if a user is interested in "sightseeing" and "food," has a budget of 50,000 yen, and wants to visit "Kyoto," and the emotion engine also detects the user's desire to "relax," the server will process this information comprehensively and provide the user with a three-day travel plan centered around relaxing places and activities. This plan will include content that takes the user's feelings into consideration as much as possible within the budget.

[1400] Thus, the travel plan suggestion system of the present invention generates and provides more personalized, efficient, and fulfilling travel plans based on input information including the user's emotions.

[1401] The following describes the processing flow.

[1402] Step 1:

[1403] Users input information about their trip using their device. Specifically, users enter their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destinations (e.g., Kyoto) on the device's input screen. Real-time data of the user's facial expressions and voice is also acquired through the camera and microphone.

[1404] Step 2:

[1405] The device receives the entered information and sentiment data and sends it to the server via the internet. The device packages the entered preferences, budget, destination, and sentiment data and sends it.

[1406] Step 3:

[1407] The server receives information and emotion data sent from the terminal and processes them. First, the server creates an instance of the TravelGuideAI class and sets the information by calling the following methods.

[1408] The `input_preferences` method is used to set user preference information.

[1409] The user's budget is set using the `input_budget` method.

[1410] The `input_destination` method is used to set the region the user wants to visit.

[1411] The `input_emotions` method is used to set the user's emotion data.

[1412] Step 4:

[1413] The server generates the optimal travel plan based on the information. By calling the `generate_itinerary` method, the AI ​​algorithm generates the best plan for the traveler using accumulated preferences, budget, destination information, and sentiment data. For example, if the server detects a desire to relax, it will create a plan that includes relaxing places and activities.

[1414] Step 5:

[1415] The server sends the generated travel plan to the terminal in data format. For example, this might involve generating and sending the details of a three-day travel plan in string format.

[1416] Step 6:

[1417] The device analyzes the travel plan data received from the server and displays it in a user-friendly format. The travel plan details are displayed on the device screen, allowing the user to review them.

[1418] Step 7:

[1419] Users review the provided travel plans, check details as needed, and proceed with planning their trip. Based on the displayed plan, users make the actual arrangements and preparations for their trip.

[1420] Thus, the invention's system generates and provides individually optimized travel plans using user input information and real-time sentiment data.

[1421] (Example 2)

[1422] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1423] Traditional travel plan suggestion systems generate plans based only on basic traveler information (preferences, budget, and desired destinations), making it difficult to provide itineraries optimized for travelers' emotions and moods. This made it challenging to propose travel plans that would satisfy travelers.

[1424] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1425] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for recognizing the traveler's emotions using the terminal's camera and microphone; means for storing and processing the input information and recognized emotion data; means for generating an itinerary optimized for the traveler's emotions based on the stored information and recognized emotion data; and means for providing the generated itinerary to the traveler. This makes it possible to provide a personalized travel plan that matches the traveler's emotions and mood.

[1426] "Traveler preferences" refer to the types of activities and experiences that travelers want to enjoy during their trip. Examples include sightseeing, dining, and activities.

[1427] "Budget" refers to the amount of money a traveler plans to spend on their trip.

[1428] "A region you want to visit" refers to a specific geographical location that a traveler has designated as their travel destination.

[1429] A "device" refers to an electronic device used by a user to input travel-related information. This includes, for example, smartphones and tablets.

[1430] "Camera and microphone" refers to the hardware installed in a device for capturing video and audio.

[1431] "Means of recognizing emotions" refers to technology that uses the device's camera and microphone to analyze a traveler's facial expressions and tone of voice, and identifies their emotions in real time.

[1432] "Entered information" refers to data entered by travelers into their devices regarding their preferences, budget, and desired destinations.

[1433] "Recognized emotion data" refers to data about travelers' emotions obtained through means of recognizing emotions.

[1434] A "server" refers to a remote computer system that stores and processes input information and recognized emotion data.

[1435] "Means for storage and processing" refers to technologies that store travelers' input information and emotional data in databases, and then process and analyze this data.

[1436] "Methods for generating itineraries optimized for travelers' emotions" refers to technology that creates optimal travel plans that match travelers' emotions and moods based on input information and recognized emotional data.

[1437] "Means of providing generated itineraries" refers to technology that sends a travel plan generated on a server to a user's device for them to review and display.

[1438] The travel plan suggestion system of the present invention generates an optimal travel plan by taking into account the traveler's preferences, budget, and desired destinations, as well as the user's emotions. Embodiments of the present invention are described in detail below.

[1439] First, the user enters basic travel information via the device. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto) on the device's input screen. The device is equipped with a camera and microphone, which are used to capture the user's facial expressions and voice in real time.

[1440] Next, the emotion engine uses the device's camera and microphone to recognize the user's emotions in real time from their facial expressions and voice. For example, it analyzes the facial expressions and tone of voice that express emotions such as "expectation," "anxiety," and "joy," and converts this information into data. This emotion data is also sent to the server along with other input information.

[1441] Subsequently, the server receives and stores the user's basic information (preferences, budget, desired destinations) and sentiment data sent from the terminal. Specifically, the information is set using the following methods.

[1442] The `input_preferences` method is used to set user preference information.

[1443] The user's budget is set using the `input_budget` method.

[1444] The `input_destination` method is used to set the region the user wants to visit.

[1445] The `input_emotions` method is used to set the user's emotion data.

[1446] The server generates travel plans optimized for the user's emotions based on accumulated basic information and emotional data. Specifically, a generative AI model running on the server processes the user's "preferences," "budget," "desired destinations," and "emotional data" as input parameters. This model includes algorithms that, if it determines that the user is seeking relaxation, suggest relaxing tourist destinations and activities.

[1447] If a user is interested in "sightseeing" and "food," has a budget of 50,000 yen, and wants to visit "Kyoto," and the emotion engine also detects the user's desire to "relax," the server will process this information comprehensively and generate a 3-day travel plan centered on relaxing places and activities, which will then be provided to the user. This plan will include content that takes the user's feelings into consideration as much as possible within the budget.

[1448] Example input prompt:

[1449] "I'm planning a trip to Kyoto. I enjoy sightseeing and dining, and my budget is 50,000 yen. I'd like a plan that focuses on relaxing places."

[1450] The generated travel plan is sent from the server to the terminal. The terminal converts the received information into a format that the user can view and displays it on the screen. The user can then review the travel plan on the terminal screen and create their own travel plan based on its contents.

[1451] Thus, the travel plan suggestion system of the present invention provides a more personalized, efficient, and fulfilling travel plan based on input information including the user's emotions.

[1452] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1453] Step 1:

[1454] User input

[1455] The user uses their device to enter basic travel information. Specifically, the user enters their "preferences" (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired travel area (e.g., Kyoto) on the device's input screen. The entered information is temporarily stored on the device. The entered data is saved in text format.

[1456] Input: Travel preferences, budget, areas you want to visit

[1457] Output: Temporarily save input information

[1458] Step 2:

[1459] Emotion recognition by an emotion engine

[1460] The device uses its camera and microphone to capture the user's facial expressions and voice. The emotion engine analyzes this captured data to recognize the user's emotions. The emotion data is then converted into text or numerical data. Specifically, facial recognition algorithms and voice analysis algorithms are used.

[1461] Input: User facial expression data, voice data

[1462] Output: Emotional data (e.g., expectation, joy, anxiety)

[1463] Step 3:

[1464] Receiving information from the server

[1465] The terminal sends the entered basic information and sentiment data to the server. The server receives this information and stores it in a database. The data is configured using the corresponding method.

[1466] Input: Basic information (preferences, budget, places to visit), sentiment data

[1467] Output: Data storage on the server

[1468] Step 4:

[1469] Data processing by the server

[1470] The server processes accumulated basic information and emotional data to generate a travel plan. Specifically, a generative AI model running on the server uses this information as input parameters. The generative AI model includes an algorithm that generates a travel plan optimized for the user's emotions.

[1471] Input: Accumulated basic information and emotional data

[1472] Output: Optimized travel plan

[1473] Step 5:

[1474] Providing travel plans from the server to the terminal.

[1475] The generated travel plan is sent from the server to the terminal. The terminal formats the received plan for the user to review and displays it on the screen. The user can then use this travel plan as a basis to create their own travel plan.

[1476] Input: Generated travel plan

[1477] Output: Travel plan displayed on the device

[1478] In this way, data processing and calculations with specific inputs and outputs are performed at each processing step, resulting in a travel plan optimized for the user's emotions.

[1479] (Application Example 2)

[1480] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1481] Current travel plan suggestion systems can generate itineraries based on travelers' preferences, budgets, and desired destinations, but they cannot respond to travelers' emotions or real-time needs. Therefore, providing personalized itineraries that reflect individual needs and emotions is difficult. Furthermore, there are limited means for travelers to concretely visualize the generated itineraries, and the inability to simulate actual experiences during the planning process is another challenge.

[1482] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[1483] In this invention, the server includes means for inputting information about the traveler's preferences, budget, and desired destinations; means for recognizing and inputting the input information and emotional data in real time; means for storing and processing the input information and emotional data; means for generating an optimal itinerary that meets the traveler's needs and emotions based on the stored information and emotional data; and rendering means for providing the generated itinerary to the traveler and allowing them to experience it virtually. This makes it possible to generate and provide personalized itineraries that reflect the individual needs and emotions of the traveler. Furthermore, by allowing them to experience it virtually, the traveler can concretely experience the generated itinerary, making the formation of travel plans more realistic and specific.

[1484] "Traveler preferences" refer to the personal tastes of travelers, such as specific activities they want to experience, places they want to visit, and food they want to eat during their trip.

[1485] A "budget" is the maximum amount of money a traveler plans to spend on their trip.

[1486] "A region to visit" refers to a specific place or area that a traveler wishes to visit during their trip.

[1487] "Emotional data" refers to information about a traveler's emotional state, estimated from their facial expressions and tone of voice, acquired in real time through input devices such as cameras and microphones.

[1488] "Methods for real-time recognition and input" refers to technology that uses input devices such as cameras and microphones to instantly recognize the emotional state of travelers and incorporate that data into the system.

[1489] "Means for storage and processing" refers to technology that stores information and emotional data entered on a server, and analyzes and processes it to generate the optimal travel itinerary.

[1490] "Rendering means" refers to technologies and devices that visualize the generated itinerary in a virtual environment, enabling travelers to experience it virtually.

[1491] The travel plan suggestion system of the present invention inputs and analyzes the traveler's preferences, budget, desired destinations, and emotional data, and generates an optimal itinerary based on this information. This system includes a terminal, an emotional recognition engine, a server, and a virtual experience provision device.

[1492] 1. User input

[1493] The user first enters basic travel information via the device. This includes the traveler's preferences, budget, and desired destinations. Furthermore, the device is equipped with a camera and microphone, which are used to capture the user's facial expressions and voice in real time, thereby acquiring emotional data.

[1494] 2. Emotion recognition by an emotion engine

[1495] The emotion engine uses the device's camera and microphone to recognize emotions in real time from the user's facial expressions and voice. This involves using tools like TensorFlow and OpenCV to digitize the user's emotions and send them to a server. For example, it analyzes the facial expressions and tone of voice when the user expresses emotions such as "expectation," "anxiety," or "joy."

[1496] 3. Receiving and processing information by the server

[1497] The server receives basic traveler information and sentiment data sent from the terminal. This data is set using the input_preferences, input_budget, input_destination, and input_emotions methods. The server then stores this data and begins processing it.

[1498] 4. Server-driven itinerary generation

[1499] The server generates travel plans optimized for the traveler's emotions based on accumulated basic information and emotional data. For example, if the emotion engine determines that the user is seeking relaxation, the server will suggest a travel plan that includes relaxing tourist destinations and activities. A generative AI model is used to create the optimal itinerary based on prompt messages.

[1500] 5. Providing virtual experiences

[1501] The generated itinerary is sent from the server to the terminal. The terminal uses a virtual reality device (e.g., a VR headset) to virtually display the generated itinerary. This allows the user to virtually experience the destination before actually traveling. The following is an example of a prompt:

[1502] Example of a prompt:

[1503] The user is interested in sightseeing and dining, has a budget of 50,000 yen, and wants to visit Kyoto. They also currently want to relax. Based on this, please create a 3-day travel plan. The essential requirement is that it includes relaxing sightseeing spots and activities.

[1504] In this way, it becomes possible to provide personalized travel plans that meet the user's emotions and needs, and to form more concrete travel plans through virtual experiences.

[1505] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1506] Step 1:

[1507] User input of basic information

[1508] The user enters basic travel information (preferences, budget, desired destination) via the terminal's input screen. Here, the user enters their travel preferences (e.g., sightseeing, dining, activities), budget (e.g., 50,000 yen), and desired destination (e.g., Kyoto). This information is stored on the terminal and prepared as data to be later sent to the server.

[1509] input:

[1510] Traveler's preferences

[1511] budget

[1512] Areas I want to visit

[1513] output:

[1514] Basic information data accumulated by the device

[1515] Step 2:

[1516] Real-time recognition and input of emotional data

[1517] The device's camera and microphone capture the user's facial expressions and voice, acquiring emotional data in real time. An emotion recognition engine (e.g., a TensorFlow or OpenCV model) is used to analyze the user's emotions from the acquired video and audio data and convert it into data.

[1518] input:

[1519] User's facial expression

[1520] User feedback

[1521] output:

[1522] Analyzed emotional data

[1523] Step 3:

[1524] Sending data to the server

[1525] The device sends accumulated basic information data and real-time acquired sentiment data to the server. This data is packaged in JSON format or similar and sent to the server's API endpoint.

[1526] input:

[1527] Basic Information Data

[1528] Emotional data

[1529] output:

[1530] Data sent to the server

[1531] Step 4:

[1532] Data storage and processing by the server.

[1533] The server stores the received basic information data and emotion data in a database (e.g., Firebase). It uses the `input_preferences`, `input_budget`, `input_destination`, and `input_emotions` methods to store the data and perform data analysis based on it.

[1534] input:

[1535] Basic Information Data

[1536] Emotional data

[1537] output:

[1538] Data in the accumulated database

[1539] Step 5:

[1540] Itinerary generation

[1541] The server uses a generative AI model to generate the optimal itinerary based on the user's basic information and sentiment data. The generative AI model takes prompts such as the following as input and outputs the optimal itinerary:

[1542] Example of a prompt:

[1543] The user is interested in sightseeing and dining, has a budget of 50,000 yen, and wants to visit Kyoto. They also currently want to relax. Based on this, please create a 3-day travel plan. The essential requirement is that it includes relaxing sightseeing spots and activities.

[1544] input:

[1545] Basic Information Data

[1546] Emotional data

[1547] Prompt message

[1548] output:

[1549] Generated itinerary data

[1550] Step 6:

[1551] Sending itineraries and providing virtual experiences

[1552] The server sends the generated itinerary to the user's device. The device receives the itinerary data and uses a virtual experience device (e.g., a VR headset) to virtually experience the destination. This allows the user to experience the virtual environment of their travel destination in advance, helping them to finalize their travel plans.

[1553] input:

[1554] Generated itinerary data

[1555] output:

[1556] Itinerary data sent to the user's terminal

[1557] Virtual experience

[1558] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1559] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1560] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1561] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1562] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[1563] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[1564] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[1565] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[1566] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[1567] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1568] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1569] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1570] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1571] 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.

[1572] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1573] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1574] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1575] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1576] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1577] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1578] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[1579] The following is further disclosed regarding the embodiments described above.

[1580] (Claim 1)

[1581] A means of inputting information about the traveler's preferences, budget, and the areas they wish to visit,

[1582] Means for storing and processing input information,

[1583] A means of generating the optimal itinerary that meets the needs of travelers based on accumulated information,

[1584] A means of providing the generated itinerary to travelers,

[1585] A travel plan suggestion system that includes this feature.

[1586] (Claim 2)

[1587] The travel plan suggestion system according to claim 1, wherein the means for inputting information about the traveler's preferences, budget, and desired destinations is a user terminal.

[1588] (Claim 3)

[1589] The travel plan suggestion system according to claim 1, wherein the means for storing and processing the input information is a server.

[1590]

[1591] "Example 1"

[1592] (Claim 1)

[1593] A means of inputting information about the traveler's preferences, budget, and the areas they wish to visit,

[1594] A means of transmitting the entered information to a server via the internet,

[1595] Means for receiving, storing, and processing input information,

[1596] A means of generating an optimal itinerary that meets the needs of travelers using a generative AI model based on accumulated information,

[1597] A means of sending the generated prompt sentence to a generation AI model to generate a travel plan,

[1598] A means of providing the generated itinerary to travelers,

[1599] A system that includes this.

[1600] (Claim 2)

[1601] The system according to claim 1, wherein the means for inputting information about the traveler's preferences, budget, and desired destinations is a user terminal.

[1602] (Claim 3)

[1603] The system according to claim 1, wherein the means for storing and processing input information is a server.

[1604] "Application Example 1"

[1605] (Claim 1)

[1606] A means of inputting information about the traveler's preferences, budget, and the areas they wish to visit,

[1607] Means for storing and processing input information,

[1608] A means of generating the optimal itinerary that meets the needs of travelers based on accumulated information,

[1609] A means to complete reservations and payments for restaurants, tourist attractions, and activities based on the generated itinerary,

[1610] A means of providing the generated itinerary to travelers,

[1611] A system that includes this.

[1612] (Claim 2)

[1613] The system according to claim 1, wherein the means for inputting information about the traveler's preferences, budget, and desired destinations is a user terminal.

[1614] (Claim 3)

[1615] The system according to claim 1, wherein the means for storing and processing input information is a server.

[1616] "Example 2 of combining an emotion engine"

[1617] (Claim 1)

[1618] A means of inputting information about the traveler's preferences, budget, and the areas they wish to visit,

[1619] A means of recognizing travelers' emotions using the device's camera and microphone,

[1620] Means for storing and processing input information and recognized emotion data,

[1621] A means for generating an itinerary optimized for the traveler's emotions based on accumulated information and recognized emotion data,

[1622] A means of providing the generated itinerary to travelers,

[1623] A system that includes this.

[1624] (Claim 2)

[1625] The system according to claim 1, wherein the means for inputting information and sentiment data regarding the traveler's preferences, budget, and desired regions is a user terminal.

[1626] (Claim 3)

[1627] The system according to claim 1, wherein the means for storing and processing input information and recognized emotion data is a server.

[1628] "Application example 2 when combining with an emotional engine"

[1629] (Claim 1)

[1630] A means of inputting information about the traveler's preferences, budget, and the areas they wish to visit,

[1631] A means for recognizing and inputting input information and emotional data in real time,

[1632] Means for storing and processing input information and emotional data,

[1633] A means for generating an optimal itinerary that meets the needs and emotions of travelers, based on accumulated information and emotional data.

[1634] A rendering method to provide travelers with generated itineraries and allow them to experience them virtually,

[1635] A system that includes this.

[1636] (Claim 2)

[1637] The system according to claim 1, wherein the user terminal is a means for inputting information about the traveler's preferences, budget, and desired destinations, and a means for recognizing and inputting emotional data in real time.

[1638] (Claim 3)

[1639] The system according to claim 1, wherein the means for storing and processing input information and emotional data is a server. [Explanation of symbols]

[1640] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of inputting information about the traveler's preferences, budget, and the areas they wish to visit, Means for storing and processing input information, A means of generating the optimal itinerary that meets the needs of travelers based on accumulated information, A means of providing the generated itinerary to travelers, A travel plan suggestion system that includes this feature.

2. The travel plan suggestion system according to claim 1, wherein the means for inputting information about the traveler's preferences, budget, and desired destinations is a user terminal.

3. The travel plan suggestion system according to claim 1, wherein the means for storing and processing the input information is a server.

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