System

Abstract

A system is provided.SOLUTION: A system comprising: means for allowing a user to input desired items related to a travel from a terminal; means for collecting data related to the travel from the Internet based on the desired items transmitted from the terminal; means for generating an optimum travel plan for the user based on the collected data; and means for transmitting the generated plan to the terminal and providing means for allowing the user to make a reservation.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Many of the challenges that arise when planning a trip stem from a lack of information and difficulty in time management. This can lead to problems such as excessive travel time or the closure of desired destinations. It is particularly difficult to effectively enjoy a trip in a new location. Given this background, there is a demand for easily customizable trip planning systems that take into account timetables, facility opening hours, and other factors, so that users can enjoy their trips efficiently. [Means for solving the problem]

[0005] The present invention provides a means for a user to input desired travel items from a terminal. Then, based on the desired items sent from the terminal, it includes a means for collecting travel-related data (e.g., public transportation timetables, business hours of tourist facilities, and restaurant reservation availability) from the Internet. Based on this collected data, it provides a means for generating an optimal travel plan for the user. It also provides a means for transmitting the generated plan to the terminal, allowing the user to make reservations on the spot. This series of processes enables the user to enjoy a trip efficiently and effectively, thereby solving the above-mentioned problems.

[0006] "Terminal" refers to the electronic device (e.g., smartphone, tablet, PC, etc.) used by a user to create a travel plan.

[0007] "Desired items" are specific conditions and requests (e.g., destination, things to do, budget, etc.) that a user inputs when creating a travel plan.

[0008] "Data" refers to travel-related information on the Internet (e.g., public transport timetables, tourist attraction opening hours, restaurant reservation availability, etc.).

[0009] "Means of collection" refers to the methods and processes for obtaining the necessary data from the Internet based on the user's desired items.

[0010] The "means for generating" refers to an algorithm or processing system that automatically creates the optimal travel plan for the user based on the collected data.

[0011] The "transmission means" is a communication means for providing the generated travel plan to the user's terminal so that the user can check the information.

[0012] The "means for making reservations" is a system that allows users to make reservations for restaurants and activities within the proposed travel plan through their terminal.

[0013] "Optimizing" means efficiently and rationally adjusting the schedule and content of a travel plan based on the user's time, budget, and preferences.

[0014] An "algorithm" is a calculation procedure or logic that analyzes collected data and generates the most efficient and tailored travel plan. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] The present invention provides a system that automates the process of creating a travel plan and making a reservation, allowing users to enjoy traveling efficiently. Specific embodiments for carrying out the present invention will be described below.

[0037] User Input

[0038] First, the user uses the device to input their travel preferences. For example, they can input the places they want to go, the things they want to do, their budget, etc. This information is provided through an interface on the device.

[0039] Data collection and analysis

[0040] The server receives the desired items sent from the device and uses that information to collect travel-related data from the Internet. Specific examples of data include public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server sends an API request to retrieve the data in JSON format and analyzes its contents.

[0041] Generate a travel plan

[0042] The server generates the optimal travel plan for the user based on the collected data. It uses an algorithm to optimize the plan by taking into account travel time, facility opening hours, costs, etc. For example, it optimizes the plan by minimizing the time required to travel between tourist spots and choosing the most efficient route within a budget.

[0043] Plan proposal and reservation

[0044] The server then sends the generated itinerary to the device for the user to review. The user can view the proposed itinerary and make any necessary adjustments. The user then makes reservations for restaurants and activities within the proposed itinerary through the device.

[0045] As a concrete example, let's assume that a user is traveling to Kyoto. The user enters the following wishes into the terminal:

[0046] Places I want to go to: Kyoto

[0047] Things to do: Sightseeing, eating at Japanese restaurants

[0048] Budget: 10,000 yen per day

[0049] Based on this information, the server retrieves information from the Internet, such as the opening hours of Kiyomizu-dera Temple, the nearest station to Fushimi Inari Taisha Shrine, and the reservation status of Japanese restaurants. Next, it generates a travel plan based on this information. For example, the following plan could be considered:

[0050] 10:00 - Arrive at Kyoto Station

[0051] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0052] 12:00 - Lunch at a Japanese restaurant (reservations accepted)

[0053] 14:00 - Visit to Fushimi Inari Shrine

[0054] 17:00 - Dinner around Kyoto Station

[0055] The server sends this plan to the terminal, and the user confirms the plan and makes a restaurant reservation. At this time, the server accesses the restaurant's reservation system and makes the reservation.

[0056] As described above, the present invention provides a system that automatically generates a travel plan based on a user's wishes and allows the user to make a reservation on the spot, allowing the user to enjoy traveling efficiently and effectively.

[0057] The processing flow will be explained below.

[0058] Step 1:

[0059] The user uses a terminal to input desired travel information (places to go, things to do, budget, etc.). This information is collected through the terminal's interface and sent to the server by pressing the "send" button.

[0060] Step 2:

[0061] The server receives the requested items sent from the terminal and analyzes the information. This analysis identifies the required data.

[0062] Step 3:

[0063] The server collects relevant data from the internet. For example, it sends an API request to get information such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability. The data is received in JSON format and analyzed.

[0064] Step 4:

[0065] The server generates the optimal travel plan for the user based on the collected data. This includes schedule optimization that takes into account travel time, facility opening hours, costs, etc. Specifically, it calculates the most efficient route that minimizes travel between tourist spots and fits within the user's budget.

[0066] Step 5:

[0067] The server sends the generated optimal travel plan to the terminal, where the user can check the plan on the terminal.

[0068] Step 6:

[0069] The user reviews the proposed plan and makes any necessary adjustments (e.g., changing or adding destinations). Once the adjustments are complete, the user proceeds to the next step.

[0070] Step 7:

[0071] The user makes reservations for restaurants and activities in the travel plan through the terminal. By pressing the reservation button, a reservation request is sent to the server.

[0072] Step 8:

[0073] The server receives the reservation request, accesses the reservation system of each facility or service provider, and executes the reservation. If the reservation is successful, it sends a confirmation notice to the user.

[0074] Step 9:

[0075] The server sends the reservation confirmation information to the terminal, allowing the user to check the details, allowing the user to finalize their travel plans and complete their preparations.

[0076] Example 1

[0077] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0078] Conventional travel plan creation systems required users to collect simple information based on manually entered information and create their own plans, which took a lot of time and effort. Furthermore, users had to complete the reservation procedures individually, making it difficult to provide consistent travel plans. Furthermore, efficient plans were not created by optimally combining various data. This made it difficult to increase user satisfaction.

[0079] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0080] In this invention, the server includes means for a user to input desired travel items from a terminal, means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal, means for generating an optimal travel plan for the user based on the collected data, means for transmitting the generated plan to the terminal so that the user can make a reservation, and means for using an optimization algorithm to generate the travel plan and efficiently adjust the travel schedule, thereby enabling a user to efficiently create a travel plan and perform a reservation procedure in a consistent manner.

[0081] "Terminal" refers to a device through which a user inputs travel-related preferences, such as a smartphone, tablet, or PC.

[0082] "Server" refers to a computer system that receives user input information, collects and analyzes travel-related data, creates an optimal travel plan, and transmits it to the terminal.

[0083] "Desired items" are data that a user inputs as information necessary for creating a travel plan, and refer to conditions such as places to go, things to do, and budget.

[0084] "Data collected from the Internet" refers to travel-related information that the server obtains from different sources on the Internet via API requests, etc., and includes public transport timetables, opening hours of tourist attractions, restaurant reservation availability, etc.

[0085] An "optimization algorithm" is a mathematical method that calculates the most efficient travel plan based on the user's preferences and collected data, taking into account factors such as travel time and costs.

[0086] "Travel plan" refers to a plan including details of travel dates and schedules generated by the server and proposed to the user.

[0087] "Reservation" is a procedure for reserving activities and seats at restaurants in the generated travel plan, and is executed by the server accessing a reservation system on the Internet.

[0088] "Data collection means" refers to the method or process by which the server obtains the necessary travel information from the Internet based on the user's desired items.

[0089] "Data analysis means" refers to the process of sorting the data collected by the server and extracting the information necessary to generate a travel plan.

[0090] "User confirmation" refers to the process in which the travel plan generated by the server is sent to the user via the terminal, and the user checks the contents and makes corrections or approvals as necessary.

[0091] The present invention relates to a system that allows users to efficiently create travel plans and complete reservation procedures in an integrated manner. Specific procedures and configurations for implementing this system will be described below.

[0092] First, the user inputs their desired travel information using a device. Devices include smartphones, tablets, and PCs. The user inputs conditions such as travel destination, things to do, and budget through the device's interface. For example, a user inputs "Kyoto" as their travel destination, "sightseeing and eating at a Japanese restaurant" as things to do, and "10,000 yen per day" as their budget.

[0093] Next, the device sends the user's desired items in JSON format to the server. The server receives this information and collects related data from the Internet. Specific data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server collects the data by sending API requests and analyzes it using libraries such as requests and pandas.

[0094] Based on the collected data, the server generates an optimal travel plan for the user. It uses an optimization algorithm that takes into account factors such as travel time, facility opening hours, and costs. Specifically, it uses the Python scipy library to optimize the travel plan. The generated travel plan is adjusted to shorten travel time between tourist spots and select the most efficient route within the budget.

[0095] The generated itinerary is sent to the device, where the user can review it. The user can view the presented plan and make adjustments as needed. The device interface includes a function for easily editing the plan, for example, changing the visiting times or adding additional activities.

[0096] After the user confirms the final plan, they make reservations for restaurants and activities. The reservation process is carried out by the server, which accesses the restaurant's reservation system to confirm the reservation. For example, reservations can be made using OpenTable's API. This allows users to create travel plans and make reservations consistently within a single system.

[0097] Below are some example prompts for the generative AI model:

[0098] Enter your travel preferences:

[0099] Please tell us where you want to go, what you want to do, and your budget. For example:

[0100] Places I want to go to: Kyoto

[0101] Things to do: Sightseeing, eating at Japanese restaurants

[0102] Budget: 10,000 yen per day

[0103] This system will enable users to plan their trips and complete booking procedures hassle-free and efficiently, which will greatly improve users' travel experience.

[0104] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0105] Step 1:

[0106] The user inputs desired travel information from the device. The user inputs conditions such as where they want to go, what they want to do, and their budget. For example, they input "Kyoto," "sightseeing and eating at a Japanese restaurant," and "10,000 yen per day." The input data is confirmed on the device's interface.

[0107] Step 2:

[0108] The device converts the desired items entered by the user into JSON format and sends it to the server. The server then receives the user's desired items. An example of input data is { "Location": "Kyoto", "Purpose": "Sightseeing and Dining", "Budget": "10,000 yen per day"}.

[0109] Step 3:

[0110] The server collects travel-related data from the Internet based on the received requests. Specific data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server sends API requests and analyzes the collected data. For example, the server retrieves data in JSON format using the 'requests' library and analyzes it using the 'pandas' library.

[0111] Step 4:

[0112] The server generates an optimal travel plan for the user based on the collected data. It uses an optimization algorithm to consider factors such as travel time, facility opening hours, and costs. It uses the Python scipy library to calculate the optimal route and schedule. The input to this process is a list of collected data, and the output is an optimized travel plan.

[0113] Step 5:

[0114] The server converts the generated travel plan into JSON format and sends it to the device. The plan sent to the device can then be viewed by the user on the user interface. For example, a schedule such as 10:00 - Arrival at Kyoto Station, 10:30 - Visit to Kiyomizu-dera Temple, 12:00 - Lunch at a Japanese restaurant, 14:00 - Visit to Fushimi Inari Taisha Shrine may be displayed.

[0115] Step 6:

[0116] The user can review the proposed itinerary through their device and make any necessary adjustments. The user can also edit the plan details in the device interface. The input is the user's adjustments, which are then sent back to the server from the device.

[0117] Step 7:

[0118] The server finalizes the user's adjusted plan and prepares the reservation process. The server reconfirms the reservation status of the specified restaurant or activity and sends the necessary reservation request. For example, it makes a restaurant reservation using OpenTable's API. The output of this process is a reservation confirmation message.

[0119] Step 8:

[0120] The server sends information that the reservation has been completed to the terminal and notifies the user. The user can then check the reservation status on the terminal and finalize the travel plan. For example, a notification such as "Your reservation has been successful. You have made a reservation for lunch at a Japanese restaurant at 12:00" will be displayed.

[0121] Through the above processing steps, the system enables users to efficiently create travel plans and complete reservation procedures in a consistent manner.

[0122] (Application example 1)

[0123] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0124] Traditionally, the process of creating and booking travel plans has often been done manually, requiring users to research various information themselves. This requires a lot of time and effort, making it difficult to efficiently create gourmet travel plans, especially those focused on food. The present invention aims to provide a system that automates the process of creating and booking travel plans, and allows users to efficiently gather information and make reservations for restaurants in particular.

[0125] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0126] In this invention, the server includes means for a user to input desired travel items from a terminal, means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal, means for generating an optimal travel plan for the user based on the collected data, means for transmitting the generated plan to the terminal and allowing the user to make reservations, means for collecting restaurant information based on the user's desires and generating an optimal meal plan, and means for automatically making restaurant reservations based on the generated plan. This allows users to efficiently and comprehensively create travel plans and make meal reservations, especially for gourmet trips.

[0127] A "terminal" is an electronic device that a user operates to input travel information and receive a generated travel plan.

[0128] "Travel-related wishes" are specific requirements that the user inputs regarding travel plans, such as places they want to go, things they want to do, and their budget.

[0129] "Data" refers to information necessary for creating travel plans, such as public transportation timetables, tourist facility opening hours, restaurant reservation availability, and restaurant menu information, all of which are collected from the Internet.

[0130] The "server" is an electronic device that receives the desired items entered by the user, collects data from the Internet based on those items, and generates the optimal travel plan.

[0131] A "travel plan" is a travel schedule and action plan that is optimal for the user, generated based on collected data.

[0132] An "algorithm" is a calculation method that uses collected data to optimize travel plans, taking into account travel time, facility opening hours, costs, and reservation availability.

[0133] "Optimization" means optimizing the travel plan's time allocation, costs, etc. based on the user's wishes.

[0134] "Restaurant information" refers to information necessary for creating travel and meal plans, such as restaurant opening hours, menus, and reservation availability.

[0135] A "meal plan" is a plan that includes optimal meal times and locations based on restaurant information collected based on the user's preferences.

[0136] A "reservation" is a procedure for reserving a restaurant, cafe, or other eating establishment selected by a user in advance for use at a specified date and time.

[0137] This invention is a system that allows users to create travel plans efficiently and comprehensively. In particular, it is important to automate the process of collecting information about restaurants and making reservations for them. This system is configured as follows:

[0138] The system utilizes a device operated by the user, a server that processes data, and an external API to collect related information. The device is an electronic device such as a smartphone, tablet, or PC, and provides an interface for users to input their travel preferences.

[0139] The server receives the user's desired items and collects travel-related data from the Internet. External APIs such as the Google Places API and OpenTable API are used to collect the data. The collected data is then analyzed within the server to generate optimal travel and meal plans for the user.

[0140] The generated plan is sent from the server to the terminal, and the user confirms the plan. After the user confirms the plan, the server provides a means for making a reservation. This reservation means accesses the restaurant's reservation system and automatically completes the reservation.

[0141] As a concrete example, if a user wishes to enjoy Japanese food in Kyoto, they might enter the following prompt:

[0142] "Please generate a travel plan that automates reservations at Japanese restaurants in Kyoto. My budget is 10,000 yen per day, and I'd like to visit some tourist spots."

[0143] In this case, the server first receives user input and uses the Google Places API and OpenTable API to collect information on Japanese restaurants and tourist spots in Kyoto. It then generates an optimal travel plan based on the collected data, proposing a schedule that combines tourist spots such as Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine. It also checks reservation availability for Japanese restaurants and optimizes the plan based on available time slots.

[0144] Through this series of processes, users can obtain comprehensive and efficient travel plans and enjoy automated convenience, especially when it comes to booking meals.

[0145] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0146] Step 1:

[0147] The user enters their travel preferences into the terminal. Specifically, they enter information such as travel destination, budget, and desired dining experiences into the form and click the submit button. The input data is sent to the server in JSON format.

[0148] Step 2:

[0149] The server receives the user's desired items, parses the received JSON data, and extracts parameters such as travel destination, budget, desired dining experience, etc. This prepares the server for the next step of data collection.

[0150] Step 3:

[0151] The server collects travel-related data from the Internet. Specifically, it sends requests to the Google Places API and OpenTable API to obtain information on tourist attractions and restaurants related to the travel destination. The obtained data is stored on the server.

[0152] Step 4:

[0153] The server analyzes the collected data and generates optimal travel and dining plans. The server runs an optimization algorithm that takes into account factors such as travel time between tourist spots, opening hours of tourist facilities, restaurant reservation times and budget. The generated plans are saved in list format.

[0154] Step 5:

[0155] The server sends the generated plan to the device. The server then sends the plan data in JSON format to the device to present the optimized travel and meal plans to the user. The user can then review the plan on the device and make any necessary adjustments.

[0156] Step 6:

[0157] The user confirms the final plan and makes a reservation. After receiving the user's confirmation, the server accesses the restaurant's reservation system and sends a request to reserve the restaurant for the specified date and time. Once the reservation is completed, reservation confirmation information is sent to the terminal.

[0158] Step 7:

[0159] The server sends the final plan confirmation and reservation information to the user. The server then sends the final plan, including information about the restaurant reservations and the sightseeing schedule, in JSON format to the device. The user can then check the final travel plan on their device.

[0160] Through the above steps, users can efficiently and comprehensively create travel plans and enjoy automated convenience, especially in meal reservations.

[0161] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0162] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0163] User Input

[0164] First, the user uses the device to input their travel preferences, such as where they want to go, what they want to do, and their budget. This information is sent to the server through the device's interface. The user can also communicate their emotions using voice input or facial recognition. An interface for collecting emotion data is also provided on the device.

[0165] Emotion engine processing

[0166] The server receives the user's desired items as well as the emotion data recognized by the emotion engine. The emotion engine analyzes the voice data and facial expression data to identify the user's emotion. For example, if the user has a happy expression, it will recognize the emotion as "joy."

[0167] Data collection and analysis

[0168] The server collects related data from the Internet based on the acquired emotion data and desired item data. Specific examples of data include public transportation timetables, tourist facility opening hours, and restaurant reservation availability. The server sends an API request to acquire the necessary data and analyzes its contents.

[0169] Generate a travel plan

[0170] The server generates an optimal travel plan for the user based on the collected data and the emotional data recognized by the emotion engine. This process takes into account travel time, facility opening hours, costs, and the user's current emotional state. For example, if the user wants to relax, the server generates a plan that includes more relaxation facilities than tourist spots.

[0171] Plan proposal and reservation

[0172] The server then sends the generated itinerary to the device for the user to review. The user can review the proposed itinerary and make minor adjustments (e.g., change or add tourist attractions) as needed. The user then makes reservations for restaurants and activities included in the itinerary through the device.

[0173] As a concrete example, let's assume that a user is planning a trip to Kyoto. The user enters the following wishes into the device, and the emotion engine recognizes the emotion "excitement":

[0174] Places I want to go to: Kyoto

[0175] Things to do: Sightseeing, eating at Japanese restaurants

[0176] Budget: 10,000 yen per day

[0177] Based on this information, the server retrieves information from the Internet, such as the opening hours of Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine, the nearest station, and the reservation status of Japanese restaurants. At the same time, it takes into account the user's "excitement" emotion and generates a travel plan that includes active activities (e.g., hiking trails and special events).

[0178] Next, the generated plan is sent to the terminal, where the user can confirm and make a reservation. For example, the following plan may be proposed:

[0179] 10:00 - Arrive at Kyoto Station

[0180] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0181] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0182] 14:00 - Visit to Fushimi Inari Shrine

[0183] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0184] 18:00 - Dinner around Kyoto Station

[0185] The server sends this plan to the terminal, and after the user confirms it, they can make reservations for restaurants and activities. The server is responsible for making the reservation, and if successful, a confirmation notice is sent to the user.

[0186] In this way, the present invention provides a system that automatically generates and books optimal travel plans based on the user's feelings and desires, allowing the user to enjoy a more personalized travel experience efficiently and effectively.

[0187] The processing flow will be explained below.

[0188] Step 1:

[0189] The user uses the device to input travel preferences (places they want to go, things they want to do, budget, etc.) and uses voice input and facial recognition through the device's interface to collect emotional data.

[0190] Step 2:

[0191] The terminal transmits the desired items and emotional data entered by the user to the server. The emotional data includes emotional states such as "joy," "excitement," and "relaxation" through voice and facial analysis.

[0192] Step 3:

[0193] The server analyzes the received preference items and emotional data, which includes voice data and image data, to identify the user's emotional state.

[0194] Step 4:

[0195] The server collects travel-related data from the internet, such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability, through API requests and analyzes them.

[0196] Step 5:

[0197] The server generates an optimal travel plan based on the collected data and the user's emotional data. This process includes selecting activities and sightseeing spots based on travel time, facility opening hours, costs, and the user's emotional state.

[0198] Step 6:

[0199] The server sends the generated travel plan to the terminal, where the user can check the plan.

[0200] Step 7:

[0201] The user reviews the proposed itinerary and makes any necessary adjustments. After making the adjustments, the user is ready to make reservations for the restaurants and activities included in the itinerary.

[0202] Step 8:

[0203] The user makes reservations for restaurants and activities included in the proposed plan through the terminal. By pressing the reservation button, a reservation request is sent to the server.

[0204] Step 9:

[0205] The server receives the reservation request, accesses the reservation system of each facility or service provider, and executes the reservation. If the reservation is successful, it sends a confirmation notice to the user.

[0206] Step 10:

[0207] The server sends the reservation confirmation information to the terminal, allowing the user to check the details, thus completing the user's final confirmation and preparation of the travel plan.

[0208] As a concrete example, let's assume that a user is planning a trip to Kyoto. The user enters the following wishes into the device, and the emotion engine recognizes the emotion "excitement":

[0209] Places I want to go to: Kyoto

[0210] Things to do: Sightseeing, eating at Japanese restaurants

[0211] Budget: 10,000 yen per day

[0212] Based on this information, the server collects data such as the opening hours of Kiyomizu-dera Temple, the nearest station to Fushimi Inari Taisha Shrine, and the reservation status of Japanese restaurants. At the same time, the emotion engine generates a travel plan including active activities (e.g., hiking or special events) based on the emotion of "excitement."

[0213] Next, the generated plan is sent to the terminal, where the user can confirm and make a reservation. For example, the following plan is proposed:

[0214] 10:00 - Arrive at Kyoto Station

[0215] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0216] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0217] 14:00 - Visit to Fushimi Inari Shrine

[0218] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0219] 18:00 - Dinner around Kyoto Station

[0220] Finally, the server sends the reservation information to the user's device and allows them to confirm all details, allowing the user to finalize their travel plans and complete the reservation.

[0221] Example 2

[0222] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0223] Conventional travel plan generation systems have difficulty creating plans that take user emotions into consideration, and have been unable to provide users with the optimal travel experience. This has resulted in a problem of reduced travel satisfaction. The present invention aims to utilize user emotion data to generate more personalized travel plans and improve users' travel experiences.

[0224] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input desired travel items from a terminal, a means for analyzing the desired items and the user's emotion data transmitted from the terminal, a means for generating an appropriate travel plan based on the emotion data and desired items obtained by the analysis, and a means for transmitting the generated plan to the terminal so that the user can make a reservation. This makes it possible to automatically generate a personalized travel plan based on the user's emotions.

[0225] A "terminal" is an electronic device that allows a user to input information and exchange data with a server.

[0226] "Desired items" are information such as destination, things to do, budget, etc. that the user inputs regarding the trip.

[0227] "Emotion data" is information about emotions analyzed from the voice and facial expressions of the user.

[0228] The "analysis means" refers to software or hardware for analyzing the user's emotions based on the data sent from the terminal.

[0229] A "travel plan" is a list of travel schedules and activities that is generated based on the user's desired items and emotion data.

[0230] The "means for making reservations" is an interface that allows a user to make necessary reservations based on their travel plans.

[0231] "Optimization" is the process of creating the most efficient and satisfying plan for the user based on the collected data.

[0232] An "algorithm" is a defined set of calculations or steps to solve a particular problem.

[0233] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0234] User Input

[0235] First, the user uses the terminal to input desired travel information. Desired information includes places to go, things to do, and a budget. For example, a user inputs "Kyoto" as the "place to go," selects "sightseeing" and "dining at a Japanese restaurant" as the "things to do," and sets the "budget" to "10,000 yen per day." This information is entered through an input form, and the terminal sends the data to the server.

[0236] Users can also express their emotions using voice input or facial recognition. For example, if a user says "I'm excited!" to the device, the voice is collected as emotional data. This emotional data is also sent from the device to the server.

[0237] Emotion engine processing

[0238] The server receives voice and facial expression data sent from the device. The emotion engine analyzes this data and identifies the user's emotional state. Specifically, by using software such as Google Cloud's emotion recognition API, emotions such as "excitement," "joy," and "relaxation" can be recognized from the user's voice and facial expressions.

[0239] Data collection and analysis

[0240] The server collects related information from the Internet based on the user's desired item data and emotion data. The collected data includes public transportation timetables, business hours of tourist facilities, and reservation status of Japanese restaurants. Specifically, it uses the Google Maps API to obtain public transportation timetables, the Official Website API to obtain business hours of tourist facilities, and the OpenTable API to check restaurant reservation status.

[0241] The server analyzes this data and generates a travel plan that matches the user's wishes and feelings.

[0242] Generate a travel plan

[0243] The server generates the optimal travel plan for the user based on the collected data and the emotional data recognized by the emotion engine. For example, if the user has the emotion "excitement," the server generates a plan that includes many active activities (e.g., hiking trails and special events). The generated plan is optimized to match the user's desired items and emotional data, with travel time, facility opening hours, total cost, and other factors.

[0244] Plan proposal and reservation

[0245] The generated travel plan is sent from the server to the device, where the user can review it. The user reviews the plan and makes any necessary adjustments. The user then makes restaurant and activity reservations through the device. The server is responsible for executing the reservation, and upon success, a confirmation is sent to the user.

[0246] Specific examples

[0247] For example, suppose the user is traveling to Kyoto. The program proceeds as follows:

[0248] 1. The user enters the following preferences into the terminal:

[0249] Places I want to go to: Kyoto

[0250] Things to do: Sightseeing, eating at Japanese restaurants

[0251] Budget: 10,000 yen per day

[0252] 2. The emotion engine recognizes the emotion of "excitement" from the user's voice input.

[0253] 3. The server generates a plan based on the collected data, such as:

[0254] 10:00 - Arrive at Kyoto Station

[0255] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0256] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0257] 14:00 - Visit to Fushimi Inari Shrine

[0258] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0259] 18:00 - Dinner around Kyoto Station

[0260] 4. The server sends the generated plan to the terminal, where the user confirms it and makes a reservation.

[0261] Example prompts for generative AI models

[0262] "If a user is traveling to Kyoto, generate the perfect itinerary for that excited user. The data you need is information like the opening hours of Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine, the nearest train station, and the reservation status of Japanese restaurants."

[0263] As a result, the present invention provides a system that automatically generates optimal travel plans based on the user's emotions and desires and also allows the user to make reservations, thereby enabling the user to enjoy a more personalized travel experience efficiently and effectively.

[0264] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0265] Step 1: User Input

[0266] The user uses the terminal to input desired travel information. Input items include the places they want to go, the things they want to do, and their budget. Specifically, they input "Places I want to go: Kyoto," "Things I want to do: sightseeing, eating at a Japanese restaurant," and "Budget: 10,000 yen per day" into the input form on the terminal. This information is sent to the server by clicking the send button on the terminal.

[0267] Input: Data of desired items entered by the user in the input form

[0268] Output: Data of desired items sent to the server

[0269] Step 2: Collect and send emotion data

[0270] The user uses the device to communicate their emotions through voice input and facial recognition. For example, if the user says "I'm excited!", the voice is collected as emotional data. Facial expressions are also collected through the camera. The collected emotional data is sent from the device to the server.

[0271] Input: User voice and facial expression data

[0272] Output: Emotion data sent to the server

[0273] Step 3: Emotion recognition processing

[0274] The server performs emotion recognition processing based on the voice data and facial expression data received from the device. The emotion engine analyzes this data and identifies the user's emotional state. Specifically, it uses an emotion recognition API (e.g., Google Cloud's emotion recognition API) to analyze the voice and facial expression data and recognize emotions such as "excitement," "joy," and "relaxation."

[0275] Input: Emotion data sent from the device

[0276] Output: Type of emotion analyzed (e.g. "excited")

[0277] Step 4: Data collection

[0278] The server collects relevant information from the Internet based on the user's desired items and emotion data. Specifically, it uses the Google Maps API to obtain public transportation timetables, the Official Website API to obtain the opening hours of tourist attractions, and the OpenTable API to check restaurant reservations.

[0279] Input: User's desired item data and emotion data

[0280] Output: Collected relevant data (e.g. timetable, opening hours, reservation status)

[0281] Step 5: Data analysis and optimization

[0282] The server analyzes the collected data and generates a travel plan that matches the user's desires and emotions. The data analysis takes into account travel time, facility opening hours, costs, etc. An optimization algorithm is used to create the most efficient and satisfying plan for the user.

[0283] Input: Relevant data collected

[0284] Output: Optimized itinerary

[0285] Step 6: Propose a travel plan

[0286] The generated travel plan is sent from the server to the device. The user can review the plan and make any necessary adjustments. Specifically, the generated travel plan is displayed on the device screen, and the user can review the contents. After making any necessary changes, the user clicks the send button to confirm the settings.

[0287] Input: Optimized itinerary

[0288] Output: Travel plan confirmed by user

[0289] Step 7: Making a reservation

[0290] After the user confirms their travel plan and confirms the settings, they make reservations for restaurants and activities through their device. The server sends a reservation request to various reservation APIs (e.g., OpenTable) and checks whether the reservation was successful. If the reservation is successful, a success notification is displayed on the user's device.

[0291] Input: User confirmed travel plans

[0292] Output: Notification of reservation success or failure

[0293] (Application example 2)

[0294] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0295] Conventional travel plan generation systems only create plans based on the user's desired items and do not take the user's emotional state into account, making it impossible to provide personalized, optimal travel plans. Furthermore, there is no system that automatically generates optimal plans based on collected data and provides consistent support up to the reservation stage. This has led to a demand for improved efficiency and comfort in travel planning.

[0296] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0297] In this invention, the server includes a means for a user to input travel-related preferences and emotional data from a terminal, a means for collecting travel-related data from the Internet, a means for generating an optimal travel plan based on the collected data and emotional data, and a means for transmitting the generated plan to the terminal and providing a means for the user to make a reservation. This makes it possible to provide a personalized optimal travel plan that takes into account the user's emotional state and achieve consistent reservation support.

[0298] "Means for users to input travel-related preferences from a device" refers to an interface that allows users to input information such as the places they want to go, the things they want to do, and their budget for their trip using a device such as a smartphone or computer.

[0299] "Desired items" refer to detailed information such as places to go, things to do, budget, etc. that a user specifies in their travel plans.

[0300] "Emotion data" refers to information about the user's emotional state obtained by analyzing the user's voice data and facial expression data, including, for example, emotions such as joy, excitement, and relaxation.

[0301] "Means of collecting travel-related data from the Internet" refers to a system that uses APIs, etc. to obtain travel-related information such as public transportation timetables, opening hours of tourist facilities, and restaurant reservation availability via the Internet.

[0302] "Means for generating optimal travel plans based on collected data and emotional data" refers to a system that automatically generates personalized travel plans by optimizing travel time, facility opening hours, budget, etc., taking into account the desired items and emotional data entered by the user.

[0303] "Means for sending the generated plan to the terminal and providing a means for the user to make reservations" refers to a system that sends information about the generated travel plan to the user's terminal and provides a function for the user to make reservations for restaurants, activities, etc. based on the plan contents.

[0304] An "algorithm" refers to a computational procedure or methodology required to achieve a specific goal, in this case, optimizing a travel itinerary schedule based on collected data and sentiment data.

[0305] "Personalized itinerary" refers to an itinerary that is optimized for an individual user and tailored based on the user's individual preferences and emotional state.

[0306] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0307] System configuration

[0308] The system consists of the following main components:

[0309] 1. Terminal: A device where users input their travel preferences and emotional data using a smartphone or computer.

[0310] 2. Server: A central processing unit that receives the information entered by the user, generates an optimal travel plan, and provides it to the user.

[0311] 3. Emotion recognition engine: Software that analyzes a user's emotions from voice and facial images.

[0312] 4. Data collection module: API interface for collecting travel-related data from the internet.

[0313] 5. Plan generation engine: An algorithm that generates optimal travel plans based on the user's preferences and emotional data.

[0314] 6. Reservation system: A system that provides the generated plan to the user and makes the reservation on their behalf.

[0315] Program processing

[0316] The device provides an interface for users to input their travel preferences (places they want to go, things they want to do, budget, etc.) Users can also provide emotion data using voice input or face recognition.

[0317] The server receives the desired items and emotional data sent from the device. Specifically, it analyzes the voice and facial data using an emotion recognition engine (e.g., Microsoft® Azure® Emotion API) to identify the user's emotional state.

[0318] Next, the data collection module retrieves travel-related data from the internet via API, such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability. The server then analyzes the collected data and emotion data based on this data.

[0319] The plan generation engine takes into account the user's preferences and emotional data to generate personalized travel plans, using algorithms to optimize travel times, facility opening hours, budgets, etc.

[0320] Finally, the reservation system sends the generated plan to the user's terminal and provides a function for the user to make reservations for restaurants, activities, etc. based on the plan contents. The server is responsible for making the reservation, and if successful, a confirmation notice is sent to the user.

[0321] Specific examples

[0322] For example, if a user enters the following desires into their smartphone and the emotion is recognized as "Relaxed":

[0323] Places I want to go to: Kyoto

[0324] Things to do: sightseeing, hot springs

[0325] Budget: 20,000 yen per day

[0326] Based on this input, the system collects information on hot spring inns' reservation availability and opening hours, as well as Kyoto's tourist attractions, and generates an optimal relaxation plan based on the user's emotions, which is then sent to the device.

[0327] An example prompt is:

[0328] "Place I want to go: Kyoto", "Things I want to do: sightseeing, hot springs", "Budget: 20,000 yen per day", "User emotion: relaxation".

[0329] In this way, the system of the present invention can automatically generate and book an optimal travel plan that takes into account the user's preferences and emotional state, allowing the user to enjoy a more personalized travel experience efficiently and effectively.

[0330] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0331] Step 1:

[0332] The user uses the device to input travel-related information (places they want to go, things they want to do, budget, etc.) and also provides emotion data using voice input and facial recognition functions.

[0333] Input: Places to go, things to do, budget, voice data, face image data

[0334] Output: Sending preference items and emotion data from the device to the server

[0335] Step 2:

[0336] The terminal transmits the input desired items and emotion data to the server.

[0337] Input: User's preference and emotion data entered into the device

[0338] Output: Preference items and emotion data sent to the server

[0339] Step 3:

[0340] The server analyzes the received preference items and emotion data, and uses an emotion recognition engine to identify the user's emotion from the voice data and facial image.

[0341] Input: User's desired items, voice data, face image data

[0342] Output: Emotional state identified by the emotion recognition engine

[0343] Step 4:

[0344] The server's data collection module obtains travel-related data (public transportation timetables, tourist facility opening hours, restaurant reservation availability, etc.) from the Internet via an API.

[0345] Input: Desired items (places to go, things to do, budget), data requests from various APIs

[0346] Output: Various data related to the trip

[0347] Step 5:

[0348] The server's plan generation engine generates optimal travel plans based on the user's preferences and emotional data, using algorithms to optimize travel time, facility opening hours, budget, etc.

[0349] Input: Collected data (public transport timetables, tourist facility opening hours, restaurant reservation availability, etc.), emotion recognition engine results, user preferences

[0350] Output: A personalized itinerary

[0351] Step 6:

[0352] The server sends the generated travel plan to the terminal, where the user can review the plan and make any necessary adjustments.

[0353] Input: Personalized itinerary

[0354] Output: Travel plan sent to device, user confirmation and refinement of plan

[0355] Step 7:

[0356] The user makes reservations (restaurants, activities, etc.) based on the plan through the terminal. The server makes the reservation on behalf of the user and sends a confirmation notice to the user if the reservation is successful.

[0357] Input: Final, tweaked itinerary, user's booking request

[0358] Output: Confirmation of successful booking, notification of completed booking based on plan

[0359] This allows users to efficiently plan and enjoy a more personalized travel experience.

[0360] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0361] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0362] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0363] [Second embodiment]

[0364] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0365] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0366] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0367] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0368] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0369] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0370] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0371] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0372] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0373] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0374] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0375] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0376] The present invention provides a system that automates the process of creating a travel plan and making a reservation, allowing users to enjoy traveling efficiently. Specific embodiments for carrying out the present invention will be described below.

[0377] User Input

[0378] First, the user uses the device to input their travel preferences. For example, they can input the places they want to go, the things they want to do, their budget, etc. This information is provided through an interface on the device.

[0379] Data collection and analysis

[0380] The server receives the desired items sent from the device and uses that information to collect travel-related data from the Internet. Specific examples of data include public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server sends an API request to retrieve the data in JSON format and analyzes its contents.

[0381] Generate a travel plan

[0382] The server generates the optimal travel plan for the user based on the collected data. It uses an algorithm to optimize the plan by taking into account travel time, facility opening hours, costs, etc. For example, it optimizes the plan by minimizing the time required to travel between tourist spots and choosing the most efficient route within a budget.

[0383] Plan proposal and reservation

[0384] The server then sends the generated itinerary to the device for the user to review. The user can view the proposed itinerary and make any necessary adjustments. The user then makes reservations for restaurants and activities within the proposed itinerary through the device.

[0385] As a concrete example, let's assume that a user is traveling to Kyoto. The user enters the following wishes into the terminal:

[0386] Places I want to go to: Kyoto

[0387] Things to do: Sightseeing, eating at Japanese restaurants

[0388] Budget: 10,000 yen per day

[0389] Based on this information, the server retrieves information from the Internet, such as the opening hours of Kiyomizu-dera Temple, the nearest station to Fushimi Inari Taisha Shrine, and the reservation status of Japanese restaurants. Next, it generates a travel plan based on this information. For example, the following plan could be considered:

[0390] 10:00 - Arrive at Kyoto Station

[0391] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0392] 12:00 - Lunch at a Japanese restaurant (reservations accepted)

[0393] 14:00 - Visit to Fushimi Inari Shrine

[0394] 17:00 - Dinner around Kyoto Station

[0395] The server sends this plan to the terminal, and the user confirms the plan and makes a restaurant reservation. At this time, the server accesses the restaurant's reservation system and makes the reservation.

[0396] As described above, the present invention provides a system that automatically generates a travel plan based on a user's wishes and allows the user to make a reservation on the spot, allowing the user to enjoy traveling efficiently and effectively.

[0397] The processing flow will be explained below.

[0398] Step 1:

[0399] The user uses a terminal to input desired travel information (places to go, things to do, budget, etc.). This information is collected through the terminal's interface and sent to the server by pressing the "send" button.

[0400] Step 2:

[0401] The server receives the requested items sent from the terminal and analyzes the information. This analysis identifies the required data.

[0402] Step 3:

[0403] The server collects relevant data from the internet. For example, it sends an API request to get information such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability. The data is received in JSON format and analyzed.

[0404] Step 4:

[0405] The server generates the optimal travel plan for the user based on the collected data. This includes schedule optimization that takes into account travel time, facility opening hours, costs, etc. Specifically, it calculates the most efficient route that minimizes travel between tourist spots and fits within the user's budget.

[0406] Step 5:

[0407] The server sends the generated optimal travel plan to the terminal, where the user can check the plan on the terminal.

[0408] Step 6:

[0409] The user reviews the proposed plan and makes any necessary adjustments (e.g., changing or adding destinations). Once the adjustments are complete, the user proceeds to the next step.

[0410] Step 7:

[0411] The user makes reservations for restaurants and activities in the travel plan through the terminal. By pressing the reservation button, a reservation request is sent to the server.

[0412] Step 8:

[0413] The server receives the reservation request, accesses the reservation system of each facility or service provider, and executes the reservation. If the reservation is successful, it sends a confirmation notice to the user.

[0414] Step 9:

[0415] The server sends the reservation confirmation information to the terminal, allowing the user to check the details, allowing the user to finalize their travel plans and complete their preparations.

[0416] Example 1

[0417] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0418] Conventional travel plan creation systems required users to collect simple information based on manually entered information and create their own plans, which took a lot of time and effort. Furthermore, users had to complete the reservation procedures individually, making it difficult to provide consistent travel plans. Furthermore, efficient plans were not created by optimally combining various data. This made it difficult to increase user satisfaction.

[0419] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0420] In this invention, the server includes means for a user to input desired travel items from a terminal, means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal, means for generating an optimal travel plan for the user based on the collected data, means for transmitting the generated plan to the terminal so that the user can make a reservation, and means for using an optimization algorithm to generate the travel plan and efficiently adjust the travel schedule, thereby enabling a user to efficiently create a travel plan and perform a reservation procedure in a consistent manner.

[0421] "Terminal" refers to a device through which a user inputs travel-related preferences, such as a smartphone, tablet, or PC.

[0422] "Server" refers to a computer system that receives user input information, collects and analyzes travel-related data, creates an optimal travel plan, and transmits it to the terminal.

[0423] "Desired items" are data that a user inputs as information necessary for creating a travel plan, and refer to conditions such as places to go, things to do, and budget.

[0424] "Data collected from the Internet" refers to travel-related information that the server obtains from different sources on the Internet via API requests, etc., and includes public transport timetables, opening hours of tourist attractions, restaurant reservation availability, etc.

[0425] An "optimization algorithm" is a mathematical method that calculates the most efficient travel plan based on the user's preferences and collected data, taking into account factors such as travel time and costs.

[0426] "Travel plan" refers to a plan including details of travel dates and schedules generated by the server and proposed to the user.

[0427] "Reservation" is a procedure for reserving activities and seats at restaurants in the generated travel plan, and is executed by the server accessing a reservation system on the Internet.

[0428] "Data collection means" refers to the method or process by which the server obtains the necessary travel information from the Internet based on the user's desired items.

[0429] "Data analysis means" refers to the process of sorting the data collected by the server and extracting the information necessary to generate a travel plan.

[0430] "User confirmation" refers to the process in which the travel plan generated by the server is sent to the user via the terminal, and the user checks the contents and makes corrections or approvals as necessary.

[0431] The present invention relates to a system that allows users to efficiently create travel plans and complete reservation procedures in an integrated manner. Specific procedures and configurations for implementing this system will be described below.

[0432] First, the user inputs their desired travel information using a device. Devices include smartphones, tablets, and PCs. The user inputs conditions such as travel destination, things to do, and budget through the device's interface. For example, a user inputs "Kyoto" as their travel destination, "sightseeing and eating at a Japanese restaurant" as things to do, and "10,000 yen per day" as their budget.

[0433] Next, the device sends the user's desired items in JSON format to the server. The server receives this information and collects related data from the Internet. Specific data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server collects the data by sending API requests and analyzes it using libraries such as requests and pandas.

[0434] Based on the collected data, the server generates an optimal travel plan for the user. It uses an optimization algorithm that takes into account factors such as travel time, facility opening hours, and costs. Specifically, it uses the Python scipy library to optimize the travel plan. The generated travel plan is adjusted to shorten travel time between tourist spots and select the most efficient route within the budget.

[0435] The generated itinerary is sent to the device, where the user can review it. The user can view the presented plan and make adjustments as needed. The device interface includes a function for easily editing the plan, for example, changing the visiting times or adding additional activities.

[0436] After the user confirms the final plan, they make reservations for restaurants and activities. The reservation process is carried out by the server, which accesses the restaurant's reservation system to confirm the reservation. For example, reservations can be made using OpenTable's API. This allows users to create travel plans and make reservations consistently within a single system.

[0437] Below are some example prompts for the generative AI model:

[0438] Enter your travel preferences:

[0439] Please tell us where you want to go, what you want to do, and your budget. For example:

[0440] Places I want to go to: Kyoto

[0441] Things to do: Sightseeing, eating at Japanese restaurants

[0442] Budget: 10,000 yen per day

[0443] This system will enable users to plan their trips and complete booking procedures hassle-free and efficiently, which will greatly improve users' travel experience.

[0444] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0445] Step 1:

[0446] The user inputs desired travel information from the device. The user inputs conditions such as where they want to go, what they want to do, and their budget. For example, they input "Kyoto," "sightseeing and eating at a Japanese restaurant," and "10,000 yen per day." The input data is confirmed on the device's interface.

[0447] Step 2:

[0448] The device converts the desired items entered by the user into JSON format and sends it to the server. The server then receives the user's desired items. An example of input data is { "Location": "Kyoto", "Purpose": "Sightseeing and Dining", "Budget": "10,000 yen per day"}.

[0449] Step 3:

[0450] The server collects travel-related data from the Internet based on the received requests. Specific data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server sends API requests and analyzes the collected data. For example, the server retrieves data in JSON format using the 'requests' library and analyzes it using the 'pandas' library.

[0451] Step 4:

[0452] The server generates an optimal travel plan for the user based on the collected data. It uses an optimization algorithm to consider factors such as travel time, facility opening hours, and costs. It uses the Python scipy library to calculate the optimal route and schedule. The input to this process is a list of collected data, and the output is an optimized travel plan.

[0453] Step 5:

[0454] The server converts the generated travel plan into JSON format and sends it to the device. The plan sent to the device can then be viewed by the user on the user interface. For example, a schedule such as 10:00 - Arrival at Kyoto Station, 10:30 - Visit to Kiyomizu-dera Temple, 12:00 - Lunch at a Japanese restaurant, 14:00 - Visit to Fushimi Inari Taisha Shrine may be displayed.

[0455] Step 6:

[0456] The user can review the proposed itinerary through their device and make any necessary adjustments. The user can also edit the plan details in the device interface. The input is the user's adjustments, which are then sent back to the server from the device.

[0457] Step 7:

[0458] The server finalizes the user's adjusted plan and prepares the reservation process. The server reconfirms the reservation status of the specified restaurant or activity and sends the necessary reservation request. For example, it makes a restaurant reservation using OpenTable's API. The output of this process is a reservation confirmation message.

[0459] Step 8:

[0460] The server sends information that the reservation has been completed to the terminal and notifies the user. The user can then check the reservation status on the terminal and finalize the travel plan. For example, a notification such as "Your reservation has been successful. You have made a reservation for lunch at a Japanese restaurant at 12:00" will be displayed.

[0461] Through the above processing steps, the system enables users to efficiently create travel plans and complete reservation procedures in a consistent manner.

[0462] (Application example 1)

[0463] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0464] Traditionally, the process of creating and booking travel plans has often been done manually, requiring users to research various information themselves. This requires a lot of time and effort, making it difficult to efficiently create gourmet travel plans, especially those focused on food. The present invention aims to provide a system that automates the process of creating and booking travel plans, and allows users to efficiently gather information and make reservations for restaurants in particular.

[0465] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0466] In this invention, the server includes means for a user to input desired travel items from a terminal, means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal, means for generating an optimal travel plan for the user based on the collected data, means for transmitting the generated plan to the terminal and allowing the user to make reservations, means for collecting restaurant information based on the user's desires and generating an optimal meal plan, and means for automatically making restaurant reservations based on the generated plan. This allows users to efficiently and comprehensively create travel plans and make meal reservations, especially for gourmet trips.

[0467] A "terminal" is an electronic device that a user operates to input travel information and receive a generated travel plan.

[0468] "Travel-related wishes" are specific requirements that the user inputs regarding travel plans, such as places they want to go, things they want to do, and their budget.

[0469] "Data" refers to information necessary for creating travel plans, such as public transportation timetables, tourist facility opening hours, restaurant reservation availability, and restaurant menu information, all of which are collected from the Internet.

[0470] The "server" is an electronic device that receives the desired items entered by the user, collects data from the Internet based on those items, and generates the optimal travel plan.

[0471] A "travel plan" is a travel schedule and action plan that is optimal for the user, generated based on collected data.

[0472] An "algorithm" is a calculation method that uses collected data to optimize travel plans, taking into account travel time, facility opening hours, costs, and reservation availability.

[0473] "Optimization" means optimizing the travel plan's time allocation, costs, etc. based on the user's wishes.

[0474] "Restaurant information" refers to information necessary for creating travel and meal plans, such as restaurant opening hours, menus, and reservation availability.

[0475] A "meal plan" is a plan that includes optimal meal times and locations based on restaurant information collected based on the user's preferences.

[0476] A "reservation" is a procedure for reserving a restaurant, cafe, or other eating establishment selected by a user in advance for use at a specified date and time.

[0477] This invention is a system that allows users to create travel plans efficiently and comprehensively. In particular, it is important to automate the process of collecting information about restaurants and making reservations for them. This system is configured as follows:

[0478] The system utilizes a device operated by the user, a server that processes data, and an external API to collect related information. The device is an electronic device such as a smartphone, tablet, or PC, and provides an interface for users to input their travel preferences.

[0479] The server receives the user's desired items and collects travel-related data from the Internet. Data collection is done using external APIs such as Google Places API and OpenTable API. The collected data is then analyzed within the server to generate optimal travel and meal plans for the user.

[0480] The generated plan is sent from the server to the terminal, and the user confirms the plan. After the user confirms the plan, the server provides a means for making a reservation. This reservation means accesses the restaurant's reservation system and automatically completes the reservation.

[0481] As a concrete example, if a user wishes to enjoy Japanese food in Kyoto, they might enter the following prompt:

[0482] "Please generate a travel plan that automates reservations at Japanese restaurants in Kyoto. My budget is 10,000 yen per day, and I'd like to visit some tourist spots."

[0483] In this case, the server first receives user input and uses the Google Places API and OpenTable API to collect information on Japanese restaurants and tourist spots in Kyoto. It then generates an optimal travel plan based on the collected data, proposing a schedule that combines tourist spots such as Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine. It also checks reservation availability for Japanese restaurants and optimizes the plan based on available time slots.

[0484] Through this series of processes, users can obtain comprehensive and efficient travel plans and enjoy automated convenience, especially when it comes to booking meals.

[0485] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0486] Step 1:

[0487] The user enters their travel preferences into the terminal. Specifically, they enter information such as travel destination, budget, and desired dining experiences into the form and click the submit button. The input data is sent to the server in JSON format.

[0488] Step 2:

[0489] The server receives the user's desired items, parses the received JSON data, and extracts parameters such as travel destination, budget, desired dining experience, etc. This prepares the server for the next step of data collection.

[0490] Step 3:

[0491] The server collects travel-related data from the Internet. Specifically, it sends requests to the Google Places API and OpenTable API to obtain information on tourist attractions and restaurants related to the travel destination. The obtained data is stored on the server.

[0492] Step 4:

[0493] The server analyzes the collected data and generates optimal travel and dining plans. The server runs an optimization algorithm that takes into account factors such as travel time between tourist spots, opening hours of tourist facilities, restaurant reservation times and budget. The generated plans are saved in list format.

[0494] Step 5:

[0495] The server sends the generated plan to the device. The server then sends the plan data in JSON format to the device to present the optimized travel and meal plans to the user. The user can then review the plan on the device and make any necessary adjustments.

[0496] Step 6:

[0497] The user confirms the final plan and makes a reservation. After receiving the user's confirmation, the server accesses the restaurant's reservation system and sends a request to reserve the restaurant for the specified date and time. Once the reservation is completed, reservation confirmation information is sent to the terminal.

[0498] Step 7:

[0499] The server sends the final plan confirmation and reservation information to the user. The server then sends the final plan, including information about the restaurant reservations and the sightseeing schedule, in JSON format to the device. The user can then check the final travel plan on their device.

[0500] Through the above steps, users can efficiently and comprehensively create travel plans and enjoy automated convenience, especially in meal reservations.

[0501] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0502] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0503] User Input

[0504] First, the user uses the device to input their travel preferences, such as where they want to go, what they want to do, and their budget. This information is sent to the server through the device's interface. The user can also communicate their emotions using voice input or facial recognition. An interface for collecting emotion data is also provided on the device.

[0505] Emotion engine processing

[0506] The server receives the user's desired items as well as the emotion data recognized by the emotion engine. The emotion engine analyzes the voice data and facial expression data to identify the user's emotion. For example, if the user has a happy expression, it will recognize the emotion as "joy."

[0507] Data collection and analysis

[0508] The server collects related data from the Internet based on the acquired emotion data and desired item data. Specific examples of data include public transportation timetables, tourist facility opening hours, and restaurant reservation availability. The server sends an API request to acquire the necessary data and analyzes its contents.

[0509] Generate a travel plan

[0510] The server generates an optimal travel plan for the user based on the collected data and the emotional data recognized by the emotion engine. This process takes into account travel time, facility opening hours, costs, and the user's current emotional state. For example, if the user wants to relax, the server generates a plan that includes more relaxation facilities than tourist spots.

[0511] Plan proposal and reservation

[0512] The server then sends the generated itinerary to the device for the user to review. The user can review the proposed itinerary and make minor adjustments (e.g., change or add tourist attractions) as needed. The user then makes reservations for restaurants and activities included in the itinerary through the device.

[0513] As a concrete example, let's assume that a user is planning a trip to Kyoto. The user enters the following wishes into the device, and the emotion engine recognizes the emotion "excitement":

[0514] Places I want to go to: Kyoto

[0515] Things to do: Sightseeing, eating at Japanese restaurants

[0516] Budget: 10,000 yen per day

[0517] Based on this information, the server retrieves information from the Internet, such as the opening hours of Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine, the nearest station, and the reservation status of Japanese restaurants. At the same time, it takes into account the user's "excitement" emotion and generates a travel plan that includes active activities (e.g., hiking trails and special events).

[0518] Next, the generated plan is sent to the terminal, where the user can confirm and make a reservation. For example, the following plan may be proposed:

[0519] 10:00 - Arrive at Kyoto Station

[0520] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0521] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0522] 14:00 - Visit to Fushimi Inari Shrine

[0523] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0524] 18:00 - Dinner around Kyoto Station

[0525] The server sends this plan to the terminal, and after the user confirms it, they can make reservations for restaurants and activities. The server is responsible for making the reservation, and if successful, a confirmation notice is sent to the user.

[0526] In this way, the present invention provides a system that automatically generates and books optimal travel plans based on the user's feelings and desires, allowing the user to enjoy a more personalized travel experience efficiently and effectively.

[0527] The processing flow will be explained below.

[0528] Step 1:

[0529] The user uses the device to input travel preferences (places they want to go, things they want to do, budget, etc.) and uses voice input and facial recognition through the device's interface to collect emotional data.

[0530] Step 2:

[0531] The terminal transmits the desired items and emotional data entered by the user to the server. The emotional data includes emotional states such as "joy," "excitement," and "relaxation" through voice and facial analysis.

[0532] Step 3:

[0533] The server analyzes the received preference items and emotional data, which includes voice data and image data, to identify the user's emotional state.

[0534] Step 4:

[0535] The server collects travel-related data from the internet, such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability, through API requests and analyzes them.

[0536] Step 5:

[0537] The server generates an optimal travel plan based on the collected data and the user's emotional data. This process includes selecting activities and sightseeing spots based on travel time, facility opening hours, costs, and the user's emotional state.

[0538] Step 6:

[0539] The server sends the generated travel plan to the terminal, where the user can check the plan.

[0540] Step 7:

[0541] The user reviews the proposed itinerary and makes any necessary adjustments. After making the adjustments, the user is ready to make reservations for the restaurants and activities included in the itinerary.

[0542] Step 8:

[0543] The user makes reservations for restaurants and activities included in the proposed plan through the terminal. By pressing the reservation button, a reservation request is sent to the server.

[0544] Step 9:

[0545] The server receives the reservation request, accesses the reservation system of each facility or service provider, and executes the reservation. If the reservation is successful, it sends a confirmation notice to the user.

[0546] Step 10:

[0547] The server sends the reservation confirmation information to the terminal, allowing the user to check the details, thus completing the user's final confirmation and preparation of the travel plan.

[0548] As a concrete example, let's assume that a user is planning a trip to Kyoto. The user enters the following wishes into the device, and the emotion engine recognizes the emotion "excitement":

[0549] Places I want to go to: Kyoto

[0550] Things to do: Sightseeing, eating at Japanese restaurants

[0551] Budget: 10,000 yen per day

[0552] Based on this information, the server collects data such as the opening hours of Kiyomizu-dera Temple, the nearest station to Fushimi Inari Taisha Shrine, and the reservation status of Japanese restaurants. At the same time, the emotion engine generates a travel plan including active activities (e.g., hiking or special events) based on the emotion of "excitement."

[0553] Next, the generated plan is sent to the terminal, where the user can confirm and make a reservation. For example, the following plan is proposed:

[0554] 10:00 - Arrive at Kyoto Station

[0555] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0556] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0557] 14:00 - Visit to Fushimi Inari Shrine

[0558] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0559] 18:00 - Dinner around Kyoto Station

[0560] Finally, the server sends the reservation information to the user's device and allows them to confirm all details, allowing the user to finalize their travel plans and complete the reservation.

[0561] Example 2

[0562] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0563] Conventional travel plan generation systems have difficulty creating plans that take user emotions into consideration, and have been unable to provide users with the optimal travel experience. This has resulted in a problem of reduced travel satisfaction. The present invention aims to utilize user emotion data to generate more personalized travel plans and improve users' travel experiences.

[0564] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input desired travel items from a terminal, a means for analyzing the desired items and the user's emotion data transmitted from the terminal, a means for generating an appropriate travel plan based on the emotion data and desired items obtained by the analysis, and a means for transmitting the generated plan to the terminal so that the user can make a reservation. This makes it possible to automatically generate a personalized travel plan based on the user's emotions.

[0565] A "terminal" is an electronic device that allows a user to input information and exchange data with a server.

[0566] "Desired items" are information such as destination, things to do, budget, etc. that the user inputs regarding the trip.

[0567] "Emotion data" is information about emotions analyzed from the voice and facial expressions of the user.

[0568] The "analysis means" refers to software or hardware for analyzing the user's emotions based on the data sent from the terminal.

[0569] A "travel plan" is a list of travel schedules and activities that is generated based on the user's desired items and emotion data.

[0570] The "means for making reservations" is an interface that allows a user to make necessary reservations based on their travel plans.

[0571] "Optimization" is the process of creating the most efficient and satisfying plan for the user based on the collected data.

[0572] An "algorithm" is a defined set of calculations or steps to solve a particular problem.

[0573] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0574] User Input

[0575] First, the user uses the terminal to input desired travel information. Desired information includes places to go, things to do, and a budget. For example, a user inputs "Kyoto" as the "place to go," selects "sightseeing" and "dining at a Japanese restaurant" as the "things to do," and sets the "budget" to "10,000 yen per day." This information is entered through an input form, and the terminal sends the data to the server.

[0576] Users can also express their emotions using voice input or facial recognition. For example, if a user says "I'm excited!" to the device, the voice is collected as emotional data. This emotional data is also sent from the device to the server.

[0577] Emotion engine processing

[0578] The server receives voice and facial expression data sent from the device. The emotion engine analyzes this data and identifies the user's emotional state. Specifically, by using software such as Google Cloud's emotion recognition API, emotions such as "excitement," "joy," and "relaxation" can be recognized from the user's voice and facial expressions.

[0579] Data collection and analysis

[0580] The server collects related information from the Internet based on the user's desired item data and emotion data. The collected data includes public transportation timetables, business hours of tourist facilities, and reservation status of Japanese restaurants. Specifically, it uses the Google Maps API to obtain public transportation timetables, the Official Website API to obtain business hours of tourist facilities, and the OpenTable API to check restaurant reservation status.

[0581] The server analyzes this data and generates a travel plan that matches the user's wishes and feelings.

[0582] Generate a travel plan

[0583] The server generates the optimal travel plan for the user based on the collected data and the emotional data recognized by the emotion engine. For example, if the user has the emotion "excitement," the server generates a plan that includes many active activities (e.g., hiking trails and special events). The generated plan is optimized to match the user's desired items and emotional data, with travel time, facility opening hours, total cost, and other factors.

[0584] Plan proposal and reservation

[0585] The generated travel plan is sent from the server to the device, where the user can review it. The user reviews the plan and makes any necessary adjustments. The user then makes restaurant and activity reservations through the device. The server is responsible for executing the reservation, and upon success, a confirmation is sent to the user.

[0586] Specific examples

[0587] For example, suppose the user is traveling to Kyoto. The program proceeds as follows:

[0588] 1. The user enters the following preferences into the terminal:

[0589] Places I want to go to: Kyoto

[0590] Things to do: Sightseeing, eating at Japanese restaurants

[0591] Budget: 10,000 yen per day

[0592] 2. The emotion engine recognizes the emotion of "excitement" from the user's voice input.

[0593] 3. The server generates a plan based on the collected data, such as:

[0594] 10:00 - Arrive at Kyoto Station

[0595] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0596] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0597] 14:00 - Visit to Fushimi Inari Shrine

[0598] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0599] 18:00 - Dinner around Kyoto Station

[0600] 4. The server sends the generated plan to the terminal, where the user confirms it and makes a reservation.

[0601] Example prompts for generative AI models

[0602] "If a user is traveling to Kyoto, generate the perfect itinerary for that excited user. The data you need is information like the opening hours of Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine, the nearest train station, and the reservation status of Japanese restaurants."

[0603] As a result, the present invention provides a system that automatically generates optimal travel plans based on the user's emotions and desires and also allows the user to make reservations, thereby enabling the user to enjoy a more personalized travel experience efficiently and effectively.

[0604] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0605] Step 1: User Input

[0606] The user uses the terminal to input desired travel information. Input items include the places they want to go, the things they want to do, and their budget. Specifically, they input "Places I want to go: Kyoto," "Things I want to do: sightseeing, eating at a Japanese restaurant," and "Budget: 10,000 yen per day" into the input form on the terminal. This information is sent to the server by clicking the send button on the terminal.

[0607] Input: Data of desired items entered by the user in the input form

[0608] Output: Data of desired items sent to the server

[0609] Step 2: Collect and send emotion data

[0610] The user uses the device to communicate their emotions through voice input and facial recognition. For example, if the user says "I'm excited!", the voice is collected as emotional data. Facial expressions are also collected through the camera. The collected emotional data is sent from the device to the server.

[0611] Input: User voice and facial expression data

[0612] Output: Emotion data sent to the server

[0613] Step 3: Emotion recognition processing

[0614] The server performs emotion recognition processing based on the voice data and facial expression data received from the device. The emotion engine analyzes this data and identifies the user's emotional state. Specifically, it uses an emotion recognition API (e.g., Google Cloud's emotion recognition API) to analyze the voice and facial expression data and recognize emotions such as "excitement," "joy," and "relaxation."

[0615] Input: Emotion data sent from the device

[0616] Output: Type of emotion analyzed (e.g. "excited")

[0617] Step 4: Data collection

[0618] The server collects relevant information from the Internet based on the user's desired items and emotion data. Specifically, it uses the Google Maps API to obtain public transportation timetables, the Official Website API to obtain the opening hours of tourist attractions, and the OpenTable API to check restaurant reservations.

[0619] Input: User's desired item data and emotion data

[0620] Output: Collected relevant data (e.g. timetable, opening hours, reservation status)

[0621] Step 5: Data analysis and optimization

[0622] The server analyzes the collected data and generates a travel plan that matches the user's desires and emotions. The data analysis takes into account travel time, facility opening hours, costs, etc. An optimization algorithm is used to create the most efficient and satisfying plan for the user.

[0623] Input: Relevant data collected

[0624] Output: Optimized itinerary

[0625] Step 6: Propose a travel plan

[0626] The generated travel plan is sent from the server to the device. The user can review the plan and make any necessary adjustments. Specifically, the generated travel plan is displayed on the device screen, and the user can review the contents. After making any necessary changes, the user clicks the send button to confirm the settings.

[0627] Input: Optimized itinerary

[0628] Output: Travel plan confirmed by user

[0629] Step 7: Making a reservation

[0630] After the user confirms their travel plan and confirms the settings, they make reservations for restaurants and activities through their device. The server sends a reservation request to various reservation APIs (e.g., OpenTable) and checks whether the reservation was successful. If the reservation is successful, a success notification is displayed on the user's device.

[0631] Input: User confirmed travel plans

[0632] Output: Notification of reservation success or failure

[0633] (Application example 2)

[0634] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0635] Conventional travel plan generation systems only create plans based on the user's desired items and do not take the user's emotional state into account, making it impossible to provide personalized, optimal travel plans. Furthermore, there is no system that automatically generates optimal plans based on collected data and provides consistent support up to the reservation stage. This has led to a demand for improved efficiency and comfort in travel planning.

[0636] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0637] In this invention, the server includes a means for a user to input travel-related preferences and emotional data from a terminal, a means for collecting travel-related data from the Internet, a means for generating an optimal travel plan based on the collected data and emotional data, and a means for transmitting the generated plan to the terminal and providing a means for the user to make a reservation. This makes it possible to provide a personalized optimal travel plan that takes into account the user's emotional state and achieve consistent reservation support.

[0638] "Means for users to input travel-related preferences from a device" refers to an interface that allows users to input information such as the places they want to go, the things they want to do, and their budget for their trip using a device such as a smartphone or computer.

[0639] "Desired items" refer to detailed information such as places to go, things to do, budget, etc. that a user specifies in their travel plans.

[0640] "Emotion data" refers to information about the user's emotional state obtained by analyzing the user's voice data and facial expression data, including, for example, emotions such as joy, excitement, and relaxation.

[0641] "Means of collecting travel-related data from the Internet" refers to a system that uses APIs, etc. to obtain travel-related information such as public transportation timetables, opening hours of tourist facilities, and restaurant reservation availability via the Internet.

[0642] "Means for generating optimal travel plans based on collected data and emotional data" refers to a system that automatically generates personalized travel plans by optimizing travel time, facility opening hours, budget, etc., taking into account the desired items and emotional data entered by the user.

[0643] "Means for sending the generated plan to the terminal and providing a means for the user to make reservations" refers to a system that sends information about the generated travel plan to the user's terminal and provides a function for the user to make reservations for restaurants, activities, etc. based on the plan contents.

[0644] An "algorithm" refers to a computational procedure or methodology required to achieve a specific goal, in this case, optimizing a travel itinerary schedule based on collected data and sentiment data.

[0645] "Personalized itinerary" refers to an itinerary that is optimized for an individual user and tailored based on the user's individual preferences and emotional state.

[0646] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0647] System configuration

[0648] The system consists of the following main components:

[0649] 1. Terminal: A device where users input their travel preferences and emotional data using a smartphone or computer.

[0650] 2. Server: A central processing unit that receives the information entered by the user, generates an optimal travel plan, and provides it to the user.

[0651] 3. Emotion recognition engine: Software that analyzes a user's emotions from voice and facial images.

[0652] 4. Data collection module: API interface for collecting travel-related data from the internet.

[0653] 5. Plan generation engine: An algorithm that generates optimal travel plans based on the user's preferences and emotional data.

[0654] 6. Reservation system: A system that provides the generated plan to the user and makes the reservation on their behalf.

[0655] Program processing

[0656] The device provides an interface for users to input their travel preferences (places they want to go, things they want to do, budget, etc.) Users can also provide emotion data using voice input or face recognition.

[0657] The server receives the desired items and emotional data sent from the device. Specifically, it analyzes the voice and facial data using an emotion recognition engine (e.g., Microsoft Azure Emotion API) to identify the user's emotional state.

[0658] Next, the data collection module retrieves travel-related data from the internet via API, such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability. The server then analyzes the collected data and emotion data based on this data.

[0659] The plan generation engine takes into account the user's preferences and emotional data to generate personalized travel plans, using algorithms to optimize travel times, facility opening hours, budgets, etc.

[0660] Finally, the reservation system sends the generated plan to the user's terminal and provides a function for the user to make reservations for restaurants, activities, etc. based on the plan contents. The server is responsible for making the reservation, and if successful, a confirmation notice is sent to the user.

[0661] Specific examples

[0662] For example, if a user enters the following desires into their smartphone and the emotion is recognized as "Relaxed":

[0663] Places I want to go to: Kyoto

[0664] Things to do: sightseeing, hot springs

[0665] Budget: 20,000 yen per day

[0666] Based on this input, the system collects information on hot spring inns' reservation availability and opening hours, as well as Kyoto's tourist attractions, and generates an optimal relaxation plan based on the user's emotions, which is then sent to the device.

[0667] An example prompt is:

[0668] "Place I want to go: Kyoto", "Things I want to do: sightseeing, hot springs", "Budget: 20,000 yen per day", "User emotion: relaxation".

[0669] In this way, the system of the present invention can automatically generate and book an optimal travel plan that takes into account the user's preferences and emotional state, allowing the user to enjoy a more personalized travel experience efficiently and effectively.

[0670] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0671] Step 1:

[0672] The user uses the device to input travel-related information (places they want to go, things they want to do, budget, etc.) and also provides emotion data using voice input and facial recognition functions.

[0673] Input: Places to go, things to do, budget, voice data, face image data

[0674] Output: Sending preference items and emotion data from the device to the server

[0675] Step 2:

[0676] The terminal transmits the input desired items and emotion data to the server.

[0677] Input: User's preference and emotion data entered into the device

[0678] Output: Preference items and emotion data sent to the server

[0679] Step 3:

[0680] The server analyzes the received preference items and emotion data, and uses an emotion recognition engine to identify the user's emotion from the voice data and facial image.

[0681] Input: User's desired items, voice data, face image data

[0682] Output: Emotional state identified by the emotion recognition engine

[0683] Step 4:

[0684] The server's data collection module obtains travel-related data (public transportation timetables, tourist facility opening hours, restaurant reservation availability, etc.) from the Internet via an API.

[0685] Input: Desired items (places to go, things to do, budget), data requests from various APIs

[0686] Output: Various data related to the trip

[0687] Step 5:

[0688] The server's plan generation engine generates optimal travel plans based on the user's preferences and emotional data, using algorithms to optimize travel time, facility opening hours, budget, etc.

[0689] Input: Collected data (public transport timetables, tourist facility opening hours, restaurant reservation availability, etc.), emotion recognition engine results, user preferences

[0690] Output: A personalized itinerary

[0691] Step 6:

[0692] The server sends the generated travel plan to the terminal, where the user can review the plan and make any necessary adjustments.

[0693] Input: Personalized itinerary

[0694] Output: Travel plan sent to device, user confirmation and refinement of plan

[0695] Step 7:

[0696] The user makes reservations (restaurants, activities, etc.) based on the plan through the terminal. The server makes the reservation on behalf of the user and sends a confirmation notice to the user if the reservation is successful.

[0697] Input: Final, tweaked itinerary, user's booking request

[0698] Output: Confirmation of successful booking, notification of completed booking based on plan

[0699] This allows users to efficiently plan and enjoy a more personalized travel experience.

[0700] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0701] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0702] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0703] [Third embodiment]

[0704] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0705] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0706] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0707] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0708] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0709] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0710] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0711] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0712] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0713] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0714] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0715] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0716] The present invention provides a system that automates the process of creating a travel plan and making a reservation, allowing users to enjoy traveling efficiently. Specific embodiments for carrying out the present invention will be described below.

[0717] User Input

[0718] First, the user uses the device to input their travel preferences. For example, they can input the places they want to go, the things they want to do, their budget, etc. This information is provided through an interface on the device.

[0719] Data collection and analysis

[0720] The server receives the desired items sent from the device and uses that information to collect travel-related data from the Internet. Specific examples of data include public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server sends an API request to retrieve the data in JSON format and analyzes its contents.

[0721] Generate a travel plan

[0722] The server generates the optimal travel plan for the user based on the collected data. It uses an algorithm to optimize the plan by taking into account travel time, facility opening hours, costs, etc. For example, it optimizes the plan by minimizing the time required to travel between tourist spots and choosing the most efficient route within a budget.

[0723] Plan proposal and reservation

[0724] The server then sends the generated itinerary to the device for the user to review. The user can view the proposed itinerary and make any necessary adjustments. The user then makes reservations for restaurants and activities within the proposed itinerary through the device.

[0725] As a concrete example, let's assume that a user is traveling to Kyoto. The user enters the following wishes into the terminal:

[0726] Places I want to go to: Kyoto

[0727] Things to do: Sightseeing, eating at Japanese restaurants

[0728] Budget: 10,000 yen per day

[0729] Based on this information, the server retrieves information from the Internet, such as the opening hours of Kiyomizu-dera Temple, the nearest station to Fushimi Inari Taisha Shrine, and the reservation status of Japanese restaurants. Next, it generates a travel plan based on this information. For example, the following plan could be considered:

[0730] 10:00 - Arrive at Kyoto Station

[0731] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0732] 12:00 - Lunch at a Japanese restaurant (reservations accepted)

[0733] 14:00 - Visit to Fushimi Inari Shrine

[0734] 17:00 - Dinner around Kyoto Station

[0735] The server sends this plan to the terminal, and the user confirms the plan and makes a restaurant reservation. At this time, the server accesses the restaurant's reservation system and makes the reservation.

[0736] As described above, the present invention provides a system that automatically generates a travel plan based on a user's wishes and allows the user to make a reservation on the spot, allowing the user to enjoy traveling efficiently and effectively.

[0737] The processing flow will be explained below.

[0738] Step 1:

[0739] The user uses a terminal to input desired travel information (places to go, things to do, budget, etc.). This information is collected through the terminal's interface and sent to the server by pressing the "send" button.

[0740] Step 2:

[0741] The server receives the requested items sent from the terminal and analyzes the information. This analysis identifies the required data.

[0742] Step 3:

[0743] The server collects relevant data from the internet. For example, it sends an API request to get information such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability. The data is received in JSON format and analyzed.

[0744] Step 4:

[0745] The server generates the optimal travel plan for the user based on the collected data. This includes schedule optimization that takes into account travel time, facility opening hours, costs, etc. Specifically, it calculates the most efficient route that minimizes travel between tourist spots and fits within the user's budget.

[0746] Step 5:

[0747] The server sends the generated optimal travel plan to the terminal, where the user can check the plan on the terminal.

[0748] Step 6:

[0749] The user reviews the proposed plan and makes any necessary adjustments (e.g., changing or adding destinations). Once the adjustments are complete, the user proceeds to the next step.

[0750] Step 7:

[0751] The user makes reservations for restaurants and activities in the travel plan through the terminal. By pressing the reservation button, a reservation request is sent to the server.

[0752] Step 8:

[0753] The server receives the reservation request, accesses the reservation system of each facility or service provider, and executes the reservation. If the reservation is successful, it sends a confirmation notice to the user.

[0754] Step 9:

[0755] The server sends the reservation confirmation information to the terminal, allowing the user to check the details, allowing the user to finalize their travel plans and complete their preparations.

[0756] Example 1

[0757] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0758] Conventional travel plan creation systems required users to collect simple information based on manually entered information and create their own plans, which took a lot of time and effort. Furthermore, users had to complete the reservation procedures individually, making it difficult to provide consistent travel plans. Furthermore, efficient plans were not created by optimally combining various data. This made it difficult to increase user satisfaction.

[0759] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0760] In this invention, the server includes means for a user to input desired travel items from a terminal, means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal, means for generating an optimal travel plan for the user based on the collected data, means for transmitting the generated plan to the terminal so that the user can make a reservation, and means for using an optimization algorithm to generate the travel plan and efficiently adjust the travel schedule, thereby enabling a user to efficiently create a travel plan and perform a reservation procedure in a consistent manner.

[0761] "Terminal" refers to a device through which a user inputs travel-related preferences, such as a smartphone, tablet, or PC.

[0762] "Server" refers to a computer system that receives user input information, collects and analyzes travel-related data, creates an optimal travel plan, and transmits it to the terminal.

[0763] "Desired items" are data that a user inputs as information necessary for creating a travel plan, and refer to conditions such as places to go, things to do, and budget.

[0764] "Data collected from the Internet" refers to travel-related information that the server obtains from different sources on the Internet via API requests, etc., and includes public transport timetables, opening hours of tourist attractions, restaurant reservation availability, etc.

[0765] An "optimization algorithm" is a mathematical method that calculates the most efficient travel plan based on the user's preferences and collected data, taking into account factors such as travel time and costs.

[0766] "Travel plan" refers to a plan including details of travel dates and schedules generated by the server and proposed to the user.

[0767] "Reservation" is a procedure for reserving activities and seats at restaurants in the generated travel plan, and is executed by the server accessing a reservation system on the Internet.

[0768] "Data collection means" refers to the method or process by which the server obtains the necessary travel information from the Internet based on the user's desired items.

[0769] "Data analysis means" refers to the process of sorting the data collected by the server and extracting the information necessary to generate a travel plan.

[0770] "User confirmation" refers to the process in which the travel plan generated by the server is sent to the user via the terminal, and the user checks the contents and makes corrections or approvals as necessary.

[0771] The present invention relates to a system that allows users to efficiently create travel plans and complete reservation procedures in an integrated manner. Specific procedures and configurations for implementing this system will be described below.

[0772] First, the user inputs their desired travel information using a device. Devices include smartphones, tablets, and PCs. The user inputs conditions such as travel destination, things to do, and budget through the device's interface. For example, a user inputs "Kyoto" as their travel destination, "sightseeing and eating at a Japanese restaurant" as things to do, and "10,000 yen per day" as their budget.

[0773] Next, the device sends the user's desired items in JSON format to the server. The server receives this information and collects related data from the Internet. Specific data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server collects the data by sending API requests and analyzes it using libraries such as requests and pandas.

[0774] Based on the collected data, the server generates an optimal travel plan for the user. It uses an optimization algorithm that takes into account factors such as travel time, facility opening hours, and costs. Specifically, it uses the Python scipy library to optimize the travel plan. The generated travel plan is adjusted to shorten travel time between tourist spots and select the most efficient route within the budget.

[0775] The generated itinerary is sent to the device, where the user can review it. The user can view the presented plan and make adjustments as needed. The device interface includes a function for easily editing the plan, for example, changing the visiting times or adding additional activities.

[0776] After the user confirms the final plan, they make reservations for restaurants and activities. The reservation process is carried out by the server, which accesses the restaurant's reservation system to confirm the reservation. For example, reservations can be made using OpenTable's API. This allows users to create travel plans and make reservations consistently within a single system.

[0777] Below are some example prompts for the generative AI model:

[0778] Enter your travel preferences:

[0779] Please tell us where you want to go, what you want to do, and your budget. For example:

[0780] Places I want to go to: Kyoto

[0781] Things to do: Sightseeing, eating at Japanese restaurants

[0782] Budget: 10,000 yen per day

[0783] This system will enable users to plan their trips and complete booking procedures hassle-free and efficiently, which will greatly improve users' travel experience.

[0784] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0785] Step 1:

[0786] The user inputs desired travel information from the device. The user inputs conditions such as where they want to go, what they want to do, and their budget. For example, they input "Kyoto," "sightseeing and eating at a Japanese restaurant," and "10,000 yen per day." The input data is confirmed on the device's interface.

[0787] Step 2:

[0788] The device converts the desired items entered by the user into JSON format and sends it to the server. The server then receives the user's desired items. An example of input data is { "Location": "Kyoto", "Purpose": "Sightseeing and Dining", "Budget": "10,000 yen per day"}.

[0789] Step 3:

[0790] The server collects travel-related data from the Internet based on the received requests. Specific data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server sends API requests and analyzes the collected data. For example, the server retrieves data in JSON format using the 'requests' library and analyzes it using the 'pandas' library.

[0791] Step 4:

[0792] The server generates an optimal travel plan for the user based on the collected data. It uses an optimization algorithm to consider factors such as travel time, facility opening hours, and costs. It uses the Python scipy library to calculate the optimal route and schedule. The input to this process is a list of collected data, and the output is an optimized travel plan.

[0793] Step 5:

[0794] The server converts the generated travel plan into JSON format and sends it to the device. The plan sent to the device can then be viewed by the user on the user interface. For example, a schedule such as 10:00 - Arrival at Kyoto Station, 10:30 - Visit to Kiyomizu-dera Temple, 12:00 - Lunch at a Japanese restaurant, 14:00 - Visit to Fushimi Inari Taisha Shrine may be displayed.

[0795] Step 6:

[0796] The user can review the proposed itinerary through their device and make any necessary adjustments. The user can also edit the plan details in the device interface. The input is the user's adjustments, which are then sent back to the server from the device.

[0797] Step 7:

[0798] The server finalizes the user's adjusted plan and prepares the reservation process. The server reconfirms the reservation status of the specified restaurant or activity and sends the necessary reservation request. For example, it makes a restaurant reservation using OpenTable's API. The output of this process is a reservation confirmation message.

[0799] Step 8:

[0800] The server sends information that the reservation has been completed to the terminal and notifies the user. The user can then check the reservation status on the terminal and finalize the travel plan. For example, a notification such as "Your reservation has been successful. You have made a reservation for lunch at a Japanese restaurant at 12:00" will be displayed.

[0801] Through the above processing steps, the system enables users to efficiently create travel plans and complete reservation procedures in a consistent manner.

[0802] (Application example 1)

[0803] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0804] Traditionally, the process of creating and booking travel plans has often been done manually, requiring users to research various information themselves. This requires a lot of time and effort, making it difficult to efficiently create gourmet travel plans, especially those focused on food. The present invention aims to provide a system that automates the process of creating and booking travel plans, and allows users to efficiently gather information and make reservations for restaurants in particular.

[0805] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0806] In this invention, the server includes means for a user to input desired travel items from a terminal, means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal, means for generating an optimal travel plan for the user based on the collected data, means for transmitting the generated plan to the terminal and allowing the user to make reservations, means for collecting restaurant information based on the user's desires and generating an optimal meal plan, and means for automatically making restaurant reservations based on the generated plan. This allows users to efficiently and comprehensively create travel plans and make meal reservations, especially for gourmet trips.

[0807] A "terminal" is an electronic device that a user operates to input travel information and receive a generated travel plan.

[0808] "Travel-related wishes" are specific requirements that the user inputs regarding travel plans, such as places they want to go, things they want to do, and their budget.

[0809] "Data" refers to information necessary for creating travel plans, such as public transportation timetables, tourist facility opening hours, restaurant reservation availability, and restaurant menu information, all of which are collected from the Internet.

[0810] The "server" is an electronic device that receives the desired items entered by the user, collects data from the Internet based on those items, and generates the optimal travel plan.

[0811] A "travel plan" is a travel schedule and action plan that is optimal for the user, generated based on collected data.

[0812] An "algorithm" is a calculation method that uses collected data to optimize travel plans, taking into account travel time, facility opening hours, costs, and reservation availability.

[0813] "Optimization" means optimizing the travel plan's time allocation, costs, etc. based on the user's wishes.

[0814] "Restaurant information" refers to information necessary for creating travel and meal plans, such as restaurant opening hours, menus, and reservation availability.

[0815] A "meal plan" is a plan that includes optimal meal times and locations based on restaurant information collected based on the user's preferences.

[0816] A "reservation" is a procedure for reserving a restaurant, cafe, or other eating establishment selected by a user in advance for use at a specified date and time.

[0817] This invention is a system that allows users to create travel plans efficiently and comprehensively. In particular, it is important to automate the process of collecting information about restaurants and making reservations for them. This system is configured as follows:

[0818] The system utilizes a device operated by the user, a server that processes data, and an external API to collect related information. The device is an electronic device such as a smartphone, tablet, or PC, and provides an interface for users to input their travel preferences.

[0819] The server receives the user's desired items and collects travel-related data from the Internet. Data collection is done using external APIs such as Google Places API and OpenTable API. The collected data is then analyzed within the server to generate optimal travel and meal plans for the user.

[0820] The generated plan is sent from the server to the terminal, and the user confirms the plan. After the user confirms the plan, the server provides a means for making a reservation. This reservation means accesses the restaurant's reservation system and automatically completes the reservation.

[0821] As a concrete example, if a user wishes to enjoy Japanese food in Kyoto, they might enter the following prompt:

[0822] "Please generate a travel plan that automates reservations at Japanese restaurants in Kyoto. My budget is 10,000 yen per day, and I'd like to visit some tourist spots."

[0823] In this case, the server first receives user input and uses the Google Places API and OpenTable API to collect information on Japanese restaurants and tourist spots in Kyoto. It then generates an optimal travel plan based on the collected data, proposing a schedule that combines tourist spots such as Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine. It also checks reservation availability for Japanese restaurants and optimizes the plan based on available time slots.

[0824] Through this series of processes, users can obtain comprehensive and efficient travel plans and enjoy automated convenience, especially when it comes to booking meals.

[0825] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0826] Step 1:

[0827] The user enters their travel preferences into the terminal. Specifically, they enter information such as travel destination, budget, and desired dining experiences into the form and click the submit button. The input data is sent to the server in JSON format.

[0828] Step 2:

[0829] The server receives the user's desired items, parses the received JSON data, and extracts parameters such as travel destination, budget, desired dining experience, etc. This prepares the server for the next step of data collection.

[0830] Step 3:

[0831] The server collects travel-related data from the Internet. Specifically, it sends requests to the Google Places API and OpenTable API to obtain information on tourist attractions and restaurants related to the travel destination. The obtained data is stored on the server.

[0832] Step 4:

[0833] The server analyzes the collected data and generates optimal travel and dining plans. The server runs an optimization algorithm that takes into account factors such as travel time between tourist spots, opening hours of tourist facilities, restaurant reservation times and budget. The generated plans are saved in list format.

[0834] Step 5:

[0835] The server sends the generated plan to the device. The server then sends the plan data in JSON format to the device to present the optimized travel and meal plans to the user. The user can then review the plan on the device and make any necessary adjustments.

[0836] Step 6:

[0837] The user confirms the final plan and makes a reservation. After receiving the user's confirmation, the server accesses the restaurant's reservation system and sends a request to reserve the restaurant for the specified date and time. Once the reservation is completed, reservation confirmation information is sent to the terminal.

[0838] Step 7:

[0839] The server sends the final plan confirmation and reservation information to the user. The server then sends the final plan, including information about the restaurant reservations and the sightseeing schedule, in JSON format to the device. The user can then check the final travel plan on their device.

[0840] Through the above steps, users can efficiently and comprehensively create travel plans and enjoy automated convenience, especially in meal reservations.

[0841] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0842] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0843] User Input

[0844] First, the user uses the device to input their travel preferences, such as where they want to go, what they want to do, and their budget. This information is sent to the server through the device's interface. The user can also communicate their emotions using voice input or facial recognition. An interface for collecting emotion data is also provided on the device.

[0845] Emotion engine processing

[0846] The server receives the user's desired items as well as the emotion data recognized by the emotion engine. The emotion engine analyzes the voice data and facial expression data to identify the user's emotion. For example, if the user has a happy expression, it will recognize the emotion as "joy."

[0847] Data collection and analysis

[0848] The server collects related data from the Internet based on the acquired emotion data and desired item data. Specific examples of data include public transportation timetables, tourist facility opening hours, and restaurant reservation availability. The server sends an API request to acquire the necessary data and analyzes its contents.

[0849] Generate a travel plan

[0850] The server generates an optimal travel plan for the user based on the collected data and the emotional data recognized by the emotion engine. This process takes into account travel time, facility opening hours, costs, and the user's current emotional state. For example, if the user wants to relax, the server generates a plan that includes more relaxation facilities than tourist spots.

[0851] Plan proposal and reservation

[0852] The server then sends the generated itinerary to the device for the user to review. The user can review the proposed itinerary and make minor adjustments (e.g., change or add tourist attractions) as needed. The user then makes reservations for restaurants and activities included in the itinerary through the device.

[0853] As a concrete example, let's assume that a user is planning a trip to Kyoto. The user enters the following wishes into the device, and the emotion engine recognizes the emotion "excitement":

[0854] Places I want to go to: Kyoto

[0855] Things to do: Sightseeing, eating at Japanese restaurants

[0856] Budget: 10,000 yen per day

[0857] Based on this information, the server retrieves information from the Internet, such as the opening hours of Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine, the nearest station, and the reservation status of Japanese restaurants. At the same time, it takes into account the user's "excitement" emotion and generates a travel plan that includes active activities (e.g., hiking trails and special events).

[0858] Next, the generated plan is sent to the terminal, where the user can confirm and make a reservation. For example, the following plan may be proposed:

[0859] 10:00 - Arrive at Kyoto Station

[0860] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0861] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0862] 14:00 - Visit to Fushimi Inari Shrine

[0863] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0864] 18:00 - Dinner around Kyoto Station

[0865] The server sends this plan to the terminal, and after the user confirms it, they can make reservations for restaurants and activities. The server is responsible for making the reservation, and if successful, a confirmation notice is sent to the user.

[0866] In this way, the present invention provides a system that automatically generates and books optimal travel plans based on the user's feelings and desires, allowing the user to enjoy a more personalized travel experience efficiently and effectively.

[0867] The processing flow will be explained below.

[0868] Step 1:

[0869] The user uses the device to input travel preferences (places they want to go, things they want to do, budget, etc.) and uses voice input and facial recognition through the device's interface to collect emotional data.

[0870] Step 2:

[0871] The terminal transmits the desired items and emotional data entered by the user to the server. The emotional data includes emotional states such as "joy," "excitement," and "relaxation" through voice and facial analysis.

[0872] Step 3:

[0873] The server analyzes the received preference items and emotional data, which includes voice data and image data, to identify the user's emotional state.

[0874] Step 4:

[0875] The server collects travel-related data from the internet, such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability, through API requests and analyzes them.

[0876] Step 5:

[0877] The server generates an optimal travel plan based on the collected data and the user's emotional data. This process includes selecting activities and sightseeing spots based on travel time, facility opening hours, costs, and the user's emotional state.

[0878] Step 6:

[0879] The server sends the generated travel plan to the terminal, where the user can check the plan.

[0880] Step 7:

[0881] The user reviews the proposed itinerary and makes any necessary adjustments. After making the adjustments, the user is ready to make reservations for the restaurants and activities included in the itinerary.

[0882] Step 8:

[0883] The user makes reservations for restaurants and activities included in the proposed plan through the terminal. By pressing the reservation button, a reservation request is sent to the server.

[0884] Step 9:

[0885] The server receives the reservation request, accesses the reservation system of each facility or service provider, and executes the reservation. If the reservation is successful, it sends a confirmation notice to the user.

[0886] Step 10:

[0887] The server sends the reservation confirmation information to the terminal, allowing the user to check the details, thus completing the user's final confirmation and preparation of the travel plan.

[0888] As a concrete example, let's assume that a user is planning a trip to Kyoto. The user enters the following wishes into the device, and the emotion engine recognizes the emotion "excitement":

[0889] Places I want to go to: Kyoto

[0890] Things to do: Sightseeing, eating at Japanese restaurants

[0891] Budget: 10,000 yen per day

[0892] Based on this information, the server collects data such as the opening hours of Kiyomizu-dera Temple, the nearest station to Fushimi Inari Taisha Shrine, and the reservation status of Japanese restaurants. At the same time, the emotion engine generates a travel plan including active activities (e.g., hiking or special events) based on the emotion of "excitement."

[0893] Next, the generated plan is sent to the terminal, where the user can confirm and make a reservation. For example, the following plan is proposed:

[0894] 10:00 - Arrive at Kyoto Station

[0895] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0896] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0897] 14:00 - Visit to Fushimi Inari Shrine

[0898] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0899] 18:00 - Dinner around Kyoto Station

[0900] Finally, the server sends the reservation information to the user's device and allows them to confirm all details, allowing the user to finalize their travel plans and complete the reservation.

[0901] Example 2

[0902] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0903] Conventional travel plan generation systems have difficulty creating plans that take user emotions into consideration, and have been unable to provide users with the optimal travel experience. This has resulted in a problem of reduced travel satisfaction. The present invention aims to utilize user emotion data to generate more personalized travel plans and improve users' travel experiences.

[0904] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input desired travel items from a terminal, a means for analyzing the desired items and the user's emotion data transmitted from the terminal, a means for generating an appropriate travel plan based on the emotion data and desired items obtained by the analysis, and a means for transmitting the generated plan to the terminal so that the user can make a reservation. This makes it possible to automatically generate a personalized travel plan based on the user's emotions.

[0905] A "terminal" is an electronic device that allows a user to input information and exchange data with a server.

[0906] "Desired items" are information such as destination, things to do, budget, etc. that the user inputs regarding the trip.

[0907] "Emotion data" is information about emotions analyzed from the voice and facial expressions of the user.

[0908] The "analysis means" refers to software or hardware for analyzing the user's emotions based on the data sent from the terminal.

[0909] A "travel plan" is a list of travel schedules and activities that is generated based on the user's desired items and emotion data.

[0910] The "means for making reservations" is an interface that allows a user to make necessary reservations based on their travel plans.

[0911] "Optimization" is the process of creating the most efficient and satisfying plan for the user based on the collected data.

[0912] An "algorithm" is a defined set of calculations or steps to solve a particular problem.

[0913] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0914] User Input

[0915] First, the user uses the terminal to input desired travel information. Desired information includes places to go, things to do, and a budget. For example, a user inputs "Kyoto" as the "place to go," selects "sightseeing" and "dining at a Japanese restaurant" as the "things to do," and sets the "budget" to "10,000 yen per day." This information is entered through an input form, and the terminal sends the data to the server.

[0916] Users can also express their emotions using voice input or facial recognition. For example, if a user says "I'm excited!" to the device, the voice is collected as emotional data. This emotional data is also sent from the device to the server.

[0917] Emotion engine processing

[0918] The server receives voice and facial expression data sent from the device. The emotion engine analyzes this data and identifies the user's emotional state. Specifically, by using software such as Google Cloud's emotion recognition API, emotions such as "excitement," "joy," and "relaxation" can be recognized from the user's voice and facial expressions.

[0919] Data collection and analysis

[0920] The server collects related information from the Internet based on the user's desired item data and emotion data. The collected data includes public transportation timetables, business hours of tourist facilities, and reservation status of Japanese restaurants. Specifically, it uses the Google Maps API to obtain public transportation timetables, the Official Website API to obtain business hours of tourist facilities, and the OpenTable API to check restaurant reservation status.

[0921] The server analyzes this data and generates a travel plan that matches the user's wishes and feelings.

[0922] Generate a travel plan

[0923] The server generates the optimal travel plan for the user based on the collected data and the emotional data recognized by the emotion engine. For example, if the user has the emotion "excitement," the server generates a plan that includes many active activities (e.g., hiking trails and special events). The generated plan is optimized to match the user's desired items and emotional data, with travel time, facility opening hours, total cost, and other factors.

[0924] Plan proposal and reservation

[0925] The generated travel plan is sent from the server to the device, where the user can review it. The user reviews the plan and makes any necessary adjustments. The user then makes restaurant and activity reservations through the device. The server is responsible for executing the reservation, and upon success, a confirmation is sent to the user.

[0926] Specific examples

[0927] For example, suppose the user is traveling to Kyoto. The program proceeds as follows:

[0928] 1. The user enters the following preferences into the terminal:

[0929] Places I want to go to: Kyoto

[0930] Things to do: Sightseeing, eating at Japanese restaurants

[0931] Budget: 10,000 yen per day

[0932] 2. The emotion engine recognizes the emotion of "excitement" from the user's voice input.

[0933] 3. The server generates a plan based on the collected data, such as:

[0934] 10:00 - Arrive at Kyoto Station

[0935] 10:30 - Sightseeing at Kiyomizu-dera Temple

[0936] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[0937] 14:00 - Visit to Fushimi Inari Shrine

[0938] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[0939] 18:00 - Dinner around Kyoto Station

[0940] 4. The server sends the generated plan to the terminal, where the user confirms it and makes a reservation.

[0941] Example prompts for generative AI models

[0942] "If a user is traveling to Kyoto, generate the perfect itinerary for that excited user. The data you need is information like the opening hours of Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine, the nearest train station, and the reservation status of Japanese restaurants."

[0943] As a result, the present invention provides a system that automatically generates optimal travel plans based on the user's emotions and desires and also allows the user to make reservations, thereby enabling the user to enjoy a more personalized travel experience efficiently and effectively.

[0944] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0945] Step 1: User Input

[0946] The user uses the terminal to input desired travel information. Input items include the places they want to go, the things they want to do, and their budget. Specifically, they input "Places I want to go: Kyoto," "Things I want to do: sightseeing, eating at a Japanese restaurant," and "Budget: 10,000 yen per day" into the input form on the terminal. This information is sent to the server by clicking the send button on the terminal.

[0947] Input: Data of desired items entered by the user in the input form

[0948] Output: Data of desired items sent to the server

[0949] Step 2: Collect and send emotion data

[0950] The user uses the device to communicate their emotions through voice input and facial recognition. For example, if the user says "I'm excited!", the voice is collected as emotional data. Facial expressions are also collected through the camera. The collected emotional data is sent from the device to the server.

[0951] Input: User voice and facial expression data

[0952] Output: Emotion data sent to the server

[0953] Step 3: Emotion recognition processing

[0954] The server performs emotion recognition processing based on the voice data and facial expression data received from the device. The emotion engine analyzes this data and identifies the user's emotional state. Specifically, it uses an emotion recognition API (e.g., Google Cloud's emotion recognition API) to analyze the voice and facial expression data and recognize emotions such as "excitement," "joy," and "relaxation."

[0955] Input: Emotion data sent from the device

[0956] Output: Type of emotion analyzed (e.g. "excited")

[0957] Step 4: Data collection

[0958] The server collects relevant information from the Internet based on the user's desired items and emotion data. Specifically, it uses the Google Maps API to obtain public transportation timetables, the Official Website API to obtain the opening hours of tourist attractions, and the OpenTable API to check restaurant reservations.

[0959] Input: User's desired item data and emotion data

[0960] Output: Collected relevant data (e.g. timetable, opening hours, reservation status)

[0961] Step 5: Data analysis and optimization

[0962] The server analyzes the collected data and generates a travel plan that matches the user's desires and emotions. The data analysis takes into account travel time, facility opening hours, costs, etc. An optimization algorithm is used to create the most efficient and satisfying plan for the user.

[0963] Input: Relevant data collected

[0964] Output: Optimized itinerary

[0965] Step 6: Propose a travel plan

[0966] The generated travel plan is sent from the server to the device. The user can review the plan and make any necessary adjustments. Specifically, the generated travel plan is displayed on the device screen, and the user can review the contents. After making any necessary changes, the user clicks the send button to confirm the settings.

[0967] Input: Optimized itinerary

[0968] Output: Travel plan confirmed by user

[0969] Step 7: Making a reservation

[0970] After the user confirms their travel plan and confirms the settings, they make reservations for restaurants and activities through their device. The server sends a reservation request to various reservation APIs (e.g., OpenTable) and checks whether the reservation was successful. If the reservation is successful, a success notification is displayed on the user's device.

[0971] Input: User confirmed travel plans

[0972] Output: Notification of reservation success or failure

[0973] (Application example 2)

[0974] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0975] Conventional travel plan generation systems only create plans based on the user's desired items and do not take the user's emotional state into account, making it impossible to provide personalized, optimal travel plans. Furthermore, there is no system that automatically generates optimal plans based on collected data and provides consistent support up to the reservation stage. This has led to a demand for improved efficiency and comfort in travel planning.

[0976] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0977] In this invention, the server includes a means for a user to input travel-related preferences and emotional data from a terminal, a means for collecting travel-related data from the Internet, a means for generating an optimal travel plan based on the collected data and emotional data, and a means for transmitting the generated plan to the terminal and providing a means for the user to make a reservation. This makes it possible to provide a personalized optimal travel plan that takes into account the user's emotional state and achieve consistent reservation support.

[0978] "Means for users to input travel-related preferences from a device" refers to an interface that allows users to input information such as the places they want to go, the things they want to do, and their budget for their trip using a device such as a smartphone or computer.

[0979] "Desired items" refer to detailed information such as places to go, things to do, budget, etc. that a user specifies in their travel plans.

[0980] "Emotion data" refers to information about the user's emotional state obtained by analyzing the user's voice data and facial expression data, including, for example, emotions such as joy, excitement, and relaxation.

[0981] "Means of collecting travel-related data from the Internet" refers to a system that uses APIs, etc. to obtain travel-related information such as public transportation timetables, opening hours of tourist facilities, and restaurant reservation availability via the Internet.

[0982] "Means for generating optimal travel plans based on collected data and emotional data" refers to a system that automatically generates personalized travel plans by optimizing travel time, facility opening hours, budget, etc., taking into account the desired items and emotional data entered by the user.

[0983] "Means for sending the generated plan to the terminal and providing a means for the user to make reservations" refers to a system that sends information about the generated travel plan to the user's terminal and provides a function for the user to make reservations for restaurants, activities, etc. based on the plan contents.

[0984] An "algorithm" refers to a computational procedure or methodology required to achieve a specific goal, in this case, optimizing a travel itinerary schedule based on collected data and sentiment data.

[0985] "Personalized itinerary" refers to an itinerary that is optimized for an individual user and tailored based on the user's individual preferences and emotional state.

[0986] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[0987] System configuration

[0988] The system consists of the following main components:

[0989] 1. Terminal: A device where users input their travel preferences and emotional data using a smartphone or computer.

[0990] 2. Server: A central processing unit that receives the information entered by the user, generates an optimal travel plan, and provides it to the user.

[0991] 3. Emotion recognition engine: Software that analyzes a user's emotions from voice and facial images.

[0992] 4. Data collection module: API interface for collecting travel-related data from the internet.

[0993] 5. Plan generation engine: An algorithm that generates optimal travel plans based on the user's preferences and emotional data.

[0994] 6. Reservation system: A system that provides the generated plan to the user and makes the reservation on their behalf.

[0995] Program processing

[0996] The device provides an interface for users to input their travel preferences (places they want to go, things they want to do, budget, etc.) Users can also provide emotion data using voice input or face recognition.

[0997] The server receives the desired items and emotional data sent from the device. Specifically, it analyzes the voice and facial data using an emotion recognition engine (e.g., Microsoft Azure Emotion API) to identify the user's emotional state.

[0998] Next, the data collection module retrieves travel-related data from the internet via API, such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability. The server then analyzes the collected data and emotion data based on this data.

[0999] The plan generation engine takes into account the user's preferences and emotional data to generate personalized travel plans, using algorithms to optimize travel times, facility opening hours, budgets, etc.

[1000] Finally, the reservation system sends the generated plan to the user's terminal and provides a function for the user to make reservations for restaurants, activities, etc. based on the plan contents. The server is responsible for making the reservation, and if successful, a confirmation notice is sent to the user.

[1001] Specific examples

[1002] For example, if a user enters the following desires into their smartphone and the emotion is recognized as "Relaxed":

[1003] Places I want to go to: Kyoto

[1004] Things to do: sightseeing, hot springs

[1005] Budget: 20,000 yen per day

[1006] Based on this input, the system collects information on hot spring inns' reservation availability and opening hours, as well as Kyoto's tourist attractions, and generates an optimal relaxation plan based on the user's emotions, which is then sent to the device.

[1007] An example prompt is:

[1008] "Place I want to go: Kyoto", "Things I want to do: sightseeing, hot springs", "Budget: 20,000 yen per day", "User emotion: relaxation".

[1009] In this way, the system of the present invention can automatically generate and book an optimal travel plan that takes into account the user's preferences and emotional state, allowing the user to enjoy a more personalized travel experience efficiently and effectively.

[1010] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1011] Step 1:

[1012] The user uses the device to input travel-related information (places they want to go, things they want to do, budget, etc.) and also provides emotion data using voice input and facial recognition functions.

[1013] Input: Places to go, things to do, budget, voice data, face image data

[1014] Output: Sending preference items and emotion data from the device to the server

[1015] Step 2:

[1016] The terminal transmits the input desired items and emotion data to the server.

[1017] Input: User's preference and emotion data entered into the device

[1018] Output: Preference items and emotion data sent to the server

[1019] Step 3:

[1020] The server analyzes the received preference items and emotion data, and uses an emotion recognition engine to identify the user's emotion from the voice data and facial image.

[1021] Input: User's desired items, voice data, face image data

[1022] Output: Emotional state identified by the emotion recognition engine

[1023] Step 4:

[1024] The server's data collection module obtains travel-related data (public transportation timetables, tourist facility opening hours, restaurant reservation availability, etc.) from the Internet via an API.

[1025] Input: Desired items (places to go, things to do, budget), data requests from various APIs

[1026] Output: Various data related to the trip

[1027] Step 5:

[1028] The server's plan generation engine generates optimal travel plans based on the user's preferences and emotional data, using algorithms to optimize travel time, facility opening hours, budget, etc.

[1029] Input: Collected data (public transport timetables, tourist facility opening hours, restaurant reservation availability, etc.), emotion recognition engine results, user preferences

[1030] Output: A personalized itinerary

[1031] Step 6:

[1032] The server sends the generated travel plan to the terminal, where the user can review the plan and make any necessary adjustments.

[1033] Input: Personalized itinerary

[1034] Output: Travel plan sent to device, user confirmation and refinement of plan

[1035] Step 7:

[1036] The user makes reservations (restaurants, activities, etc.) based on the plan through the terminal. The server makes the reservation on behalf of the user and sends a confirmation notice to the user if the reservation is successful.

[1037] Input: Final, tweaked itinerary, user's booking request

[1038] Output: Confirmation of successful booking, notification of completed booking based on plan

[1039] This allows users to efficiently plan and enjoy a more personalized travel experience.

[1040] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1041] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1042] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1043] [Fourth embodiment]

[1044] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1045] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1046] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1047] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1048] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1049] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1050] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1051] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1052] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1053] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1054] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1055] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1056] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1057] The present invention provides a system that automates the process of creating a travel plan and making a reservation, allowing users to enjoy traveling efficiently. Specific embodiments for carrying out the present invention will be described below.

[1058] User Input

[1059] First, the user uses the device to input their travel preferences. For example, they can input the places they want to go, the things they want to do, their budget, etc. This information is provided through an interface on the device.

[1060] Data collection and analysis

[1061] The server receives the desired items sent from the device and uses that information to collect travel-related data from the Internet. Specific examples of data include public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server sends an API request to retrieve the data in JSON format and analyzes its contents.

[1062] Generate a travel plan

[1063] The server generates the optimal travel plan for the user based on the collected data. It uses an algorithm to optimize the plan by taking into account travel time, facility opening hours, costs, etc. For example, it optimizes the plan by minimizing the time required to travel between tourist spots and choosing the most efficient route within a budget.

[1064] Plan proposal and reservation

[1065] The server then sends the generated itinerary to the device for the user to review. The user can view the proposed itinerary and make any necessary adjustments. The user then makes reservations for restaurants and activities within the proposed itinerary through the device.

[1066] As a concrete example, let's assume that a user is traveling to Kyoto. The user enters the following wishes into the terminal:

[1067] Places I want to go to: Kyoto

[1068] Things to do: Sightseeing, eating at Japanese restaurants

[1069] Budget: 10,000 yen per day

[1070] Based on this information, the server retrieves information from the Internet, such as the opening hours of Kiyomizu-dera Temple, the nearest station to Fushimi Inari Taisha Shrine, and the reservation status of Japanese restaurants. Next, it generates a travel plan based on this information. For example, the following plan could be considered:

[1071] 10:00 - Arrive at Kyoto Station

[1072] 10:30 - Sightseeing at Kiyomizu-dera Temple

[1073] 12:00 - Lunch at a Japanese restaurant (reservations accepted)

[1074] 14:00 - Visit to Fushimi Inari Shrine

[1075] 17:00 - Dinner around Kyoto Station

[1076] The server sends this plan to the terminal, and the user confirms the plan and makes a restaurant reservation. At this time, the server accesses the restaurant's reservation system and makes the reservation.

[1077] As described above, the present invention provides a system that automatically generates a travel plan based on a user's wishes and allows the user to make a reservation on the spot, allowing the user to enjoy traveling efficiently and effectively.

[1078] The processing flow will be explained below.

[1079] Step 1:

[1080] The user uses a terminal to input desired travel information (places to go, things to do, budget, etc.). This information is collected through the terminal's interface and sent to the server by pressing the "send" button.

[1081] Step 2:

[1082] The server receives the requested items sent from the terminal and analyzes the information. This analysis identifies the required data.

[1083] Step 3:

[1084] The server collects relevant data from the internet. For example, it sends an API request to get information such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability. The data is received in JSON format and analyzed.

[1085] Step 4:

[1086] The server generates the optimal travel plan for the user based on the collected data. This includes schedule optimization that takes into account travel time, facility opening hours, costs, etc. Specifically, it calculates the most efficient route that minimizes travel between tourist spots and fits within the user's budget.

[1087] Step 5:

[1088] The server sends the generated optimal travel plan to the terminal, where the user can check the plan on the terminal.

[1089] Step 6:

[1090] The user reviews the proposed plan and makes any necessary adjustments (e.g., changing or adding destinations). Once the adjustments are complete, the user proceeds to the next step.

[1091] Step 7:

[1092] The user makes reservations for restaurants and activities in the travel plan through the terminal. By pressing the reservation button, a reservation request is sent to the server.

[1093] Step 8:

[1094] The server receives the reservation request, accesses the reservation system of each facility or service provider, and executes the reservation. If the reservation is successful, it sends a confirmation notice to the user.

[1095] Step 9:

[1096] The server sends the reservation confirmation information to the terminal, allowing the user to check the details, allowing the user to finalize their travel plans and complete their preparations.

[1097] Example 1

[1098] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1099] Conventional travel plan creation systems required users to collect simple information based on manually entered information and create their own plans, which took a lot of time and effort. Furthermore, users had to complete the reservation procedures individually, making it difficult to provide consistent travel plans. Furthermore, efficient plans were not created by optimally combining various data. This made it difficult to increase user satisfaction.

[1100] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1101] In this invention, the server includes means for a user to input desired travel items from a terminal, means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal, means for generating an optimal travel plan for the user based on the collected data, means for transmitting the generated plan to the terminal so that the user can make a reservation, and means for using an optimization algorithm to generate the travel plan and efficiently adjust the travel schedule, thereby enabling a user to efficiently create a travel plan and perform a reservation procedure in a consistent manner.

[1102] "Terminal" refers to a device through which a user inputs travel-related preferences, such as a smartphone, tablet, or PC.

[1103] "Server" refers to a computer system that receives user input information, collects and analyzes travel-related data, creates an optimal travel plan, and transmits it to the terminal.

[1104] "Desired items" are data that a user inputs as information necessary for creating a travel plan, and refer to conditions such as places to go, things to do, and budget.

[1105] "Data collected from the Internet" refers to travel-related information that the server obtains from different sources on the Internet via API requests, etc., and includes public transport timetables, opening hours of tourist attractions, restaurant reservation availability, etc.

[1106] An "optimization algorithm" is a mathematical method that calculates the most efficient travel plan based on the user's preferences and collected data, taking into account factors such as travel time and costs.

[1107] "Travel plan" refers to a plan including details of travel dates and schedules generated by the server and proposed to the user.

[1108] "Reservation" is a procedure for reserving activities and seats at restaurants in the generated travel plan, and is executed by the server accessing a reservation system on the Internet.

[1109] "Data collection means" refers to the method or process by which the server obtains the necessary travel information from the Internet based on the user's desired items.

[1110] "Data analysis means" refers to the process of sorting the data collected by the server and extracting the information necessary to generate a travel plan.

[1111] "User confirmation" refers to the process in which the travel plan generated by the server is sent to the user via the terminal, and the user checks the contents and makes corrections or approvals as necessary.

[1112] The present invention relates to a system that allows users to efficiently create travel plans and complete reservation procedures in an integrated manner. Specific procedures and configurations for implementing this system will be described below.

[1113] First, the user inputs their desired travel information using a device. Devices include smartphones, tablets, and PCs. The user inputs conditions such as travel destination, things to do, and budget through the device's interface. For example, a user inputs "Kyoto" as their travel destination, "sightseeing and eating at a Japanese restaurant" as things to do, and "10,000 yen per day" as their budget.

[1114] Next, the device sends the user's desired items in JSON format to the server. The server receives this information and collects related data from the Internet. Specific data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server collects the data by sending API requests and analyzes it using libraries such as requests and pandas.

[1115] Based on the collected data, the server generates an optimal travel plan for the user. It uses an optimization algorithm that takes into account factors such as travel time, facility opening hours, and costs. Specifically, it uses the Python scipy library to optimize the travel plan. The generated travel plan is adjusted to shorten travel time between tourist spots and select the most efficient route within the budget.

[1116] The generated itinerary is sent to the device, where the user can review it. The user can view the presented plan and make adjustments as needed. The device interface includes a function for easily editing the plan, for example, changing the visiting times or adding additional activities.

[1117] After the user confirms the final plan, they make reservations for restaurants and activities. The reservation process is carried out by the server, which accesses the restaurant's reservation system to confirm the reservation. For example, reservations can be made using OpenTable's API. This allows users to create travel plans and make reservations consistently within a single system.

[1118] Below are some example prompts for the generative AI model:

[1119] Enter your travel preferences:

[1120] Please tell us where you want to go, what you want to do, and your budget. For example:

[1121] Places I want to go to: Kyoto

[1122] Things to do: Sightseeing, eating at Japanese restaurants

[1123] Budget: 10,000 yen per day

[1124] This system will enable users to plan their trips and complete booking procedures hassle-free and efficiently, which will greatly improve users' travel experience.

[1125] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1126] Step 1:

[1127] The user inputs desired travel information from the device. The user inputs conditions such as where they want to go, what they want to do, and their budget. For example, they input "Kyoto," "sightseeing and eating at a Japanese restaurant," and "10,000 yen per day." The input data is confirmed on the device's interface.

[1128] Step 2:

[1129] The device converts the desired items entered by the user into JSON format and sends it to the server. The server then receives the user's desired items. An example of input data is { "Location": "Kyoto", "Purpose": "Sightseeing and Dining", "Budget": "10,000 yen per day"}.

[1130] Step 3:

[1131] The server collects travel-related data from the Internet based on the received requests. Specific data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability. The server sends API requests and analyzes the collected data. For example, the server retrieves data in JSON format using the 'requests' library and analyzes it using the 'pandas' library.

[1132] Step 4:

[1133] The server generates an optimal travel plan for the user based on the collected data. It uses an optimization algorithm to consider factors such as travel time, facility opening hours, and costs. It uses the Python scipy library to calculate the optimal route and schedule. The input to this process is a list of collected data, and the output is an optimized travel plan.

[1134] Step 5:

[1135] The server converts the generated travel plan into JSON format and sends it to the device. The plan sent to the device can then be viewed by the user on the user interface. For example, a schedule such as 10:00 - Arrival at Kyoto Station, 10:30 - Visit to Kiyomizu-dera Temple, 12:00 - Lunch at a Japanese restaurant, 14:00 - Visit to Fushimi Inari Taisha Shrine may be displayed.

[1136] Step 6:

[1137] The user can review the proposed itinerary through their device and make any necessary adjustments. The user can also edit the plan details in the device interface. The input is the user's adjustments, which are then sent back to the server from the device.

[1138] Step 7:

[1139] The server finalizes the user's adjusted plan and prepares the reservation process. The server reconfirms the reservation status of the specified restaurant or activity and sends the necessary reservation request. For example, it makes a restaurant reservation using OpenTable's API. The output of this process is a reservation confirmation message.

[1140] Step 8:

[1141] The server sends information that the reservation has been completed to the terminal and notifies the user. The user can then check the reservation status on the terminal and finalize the travel plan. For example, a notification such as "Your reservation has been successful. You have made a reservation for lunch at a Japanese restaurant at 12:00" will be displayed.

[1142] Through the above processing steps, the system enables users to efficiently create travel plans and complete reservation procedures in a consistent manner.

[1143] (Application example 1)

[1144] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1145] Traditionally, the process of creating and booking travel plans has often been done manually, requiring users to research various information themselves. This requires a lot of time and effort, making it difficult to efficiently create gourmet travel plans, especially those focused on food. The present invention aims to provide a system that automates the process of creating and booking travel plans, and allows users to efficiently gather information and make reservations for restaurants in particular.

[1146] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1147] In this invention, the server includes means for a user to input desired travel items from a terminal, means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal, means for generating an optimal travel plan for the user based on the collected data, means for transmitting the generated plan to the terminal and allowing the user to make reservations, means for collecting restaurant information based on the user's desires and generating an optimal meal plan, and means for automatically making restaurant reservations based on the generated plan. This allows users to efficiently and comprehensively create travel plans and make meal reservations, especially for gourmet trips.

[1148] A "terminal" is an electronic device that a user operates to input travel information and receive a generated travel plan.

[1149] "Travel-related wishes" are specific requirements that the user inputs regarding travel plans, such as places they want to go, things they want to do, and their budget.

[1150] "Data" refers to information necessary for creating travel plans, such as public transportation timetables, tourist facility opening hours, restaurant reservation availability, and restaurant menu information, all of which are collected from the Internet.

[1151] The "server" is an electronic device that receives the desired items entered by the user, collects data from the Internet based on those items, and generates the optimal travel plan.

[1152] A "travel plan" is a travel schedule and action plan that is optimal for the user, generated based on collected data.

[1153] An "algorithm" is a calculation method that uses collected data to optimize travel plans, taking into account travel time, facility opening hours, costs, and reservation availability.

[1154] "Optimization" means optimizing the travel plan's time allocation, costs, etc. based on the user's wishes.

[1155] "Restaurant information" refers to information necessary for creating travel and meal plans, such as restaurant opening hours, menus, and reservation availability.

[1156] A "meal plan" is a plan that includes optimal meal times and locations based on restaurant information collected based on the user's preferences.

[1157] A "reservation" is a procedure for reserving a restaurant, cafe, or other eating establishment selected by a user in advance for use at a specified date and time.

[1158] This invention is a system that allows users to create travel plans efficiently and comprehensively. In particular, it is important to automate the process of collecting information about restaurants and making reservations for them. This system is configured as follows:

[1159] The system utilizes a device operated by the user, a server that processes data, and an external API to collect related information. The device is an electronic device such as a smartphone, tablet, or PC, and provides an interface for users to input their travel preferences.

[1160] The server receives the user's desired items and collects travel-related data from the Internet. Data collection is done using external APIs such as Google Places API and OpenTable API. The collected data is then analyzed within the server to generate optimal travel and meal plans for the user.

[1161] The generated plan is sent from the server to the terminal, and the user confirms the plan. After the user confirms the plan, the server provides a means for making a reservation. This reservation means accesses the restaurant's reservation system and automatically completes the reservation.

[1162] As a concrete example, if a user wishes to enjoy Japanese food in Kyoto, they might enter the following prompt:

[1163] "Please generate a travel plan that automates reservations at Japanese restaurants in Kyoto. My budget is 10,000 yen per day, and I'd like to visit some tourist spots."

[1164] In this case, the server first receives user input and uses the Google Places API and OpenTable API to collect information on Japanese restaurants and tourist spots in Kyoto. It then generates an optimal travel plan based on the collected data, proposing a schedule that combines tourist spots such as Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine. It also checks reservation availability for Japanese restaurants and optimizes the plan based on available time slots.

[1165] Through this series of processes, users can obtain comprehensive and efficient travel plans and enjoy automated convenience, especially when it comes to booking meals.

[1166] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1167] Step 1:

[1168] The user enters their travel preferences into the terminal. Specifically, they enter information such as travel destination, budget, and desired dining experiences into the form and click the submit button. The input data is sent to the server in JSON format.

[1169] Step 2:

[1170] The server receives the user's desired items, parses the received JSON data, and extracts parameters such as travel destination, budget, desired dining experience, etc. This prepares the server for the next step of data collection.

[1171] Step 3:

[1172] The server collects travel-related data from the Internet. Specifically, it sends requests to the Google Places API and OpenTable API to obtain information on tourist attractions and restaurants related to the travel destination. The obtained data is stored on the server.

[1173] Step 4:

[1174] The server analyzes the collected data and generates optimal travel and dining plans. The server runs an optimization algorithm that takes into account factors such as travel time between tourist spots, opening hours of tourist facilities, restaurant reservation times and budget. The generated plans are saved in list format.

[1175] Step 5:

[1176] The server sends the generated plan to the device. The server then sends the plan data in JSON format to the device to present the optimized travel and meal plans to the user. The user can then review the plan on the device and make any necessary adjustments.

[1177] Step 6:

[1178] The user confirms the final plan and makes a reservation. After receiving the user's confirmation, the server accesses the restaurant's reservation system and sends a request to reserve the restaurant for the specified date and time. Once the reservation is completed, reservation confirmation information is sent to the terminal.

[1179] Step 7:

[1180] The server sends the final plan confirmation and reservation information to the user. The server then sends the final plan, including information about the restaurant reservations and the sightseeing schedule, in JSON format to the device. The user can then check the final travel plan on their device.

[1181] Through the above steps, users can efficiently and comprehensively create travel plans and enjoy automated convenience, especially in meal reservations.

[1182] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1183] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[1184] User Input

[1185] First, the user uses the device to input their travel preferences, such as where they want to go, what they want to do, and their budget. This information is sent to the server through the device's interface. The user can also communicate their emotions using voice input or facial recognition. An interface for collecting emotion data is also provided on the device.

[1186] Emotion engine processing

[1187] The server receives the user's desired items as well as the emotion data recognized by the emotion engine. The emotion engine analyzes the voice data and facial expression data to identify the user's emotion. For example, if the user has a happy expression, it will recognize the emotion as "joy."

[1188] Data collection and analysis

[1189] The server collects related data from the Internet based on the acquired emotion data and desired item data. Specific examples of data include public transportation timetables, tourist facility opening hours, and restaurant reservation availability. The server sends an API request to acquire the necessary data and analyzes its contents.

[1190] Generate a travel plan

[1191] The server generates an optimal travel plan for the user based on the collected data and the emotional data recognized by the emotion engine. This process takes into account travel time, facility opening hours, costs, and the user's current emotional state. For example, if the user wants to relax, the server generates a plan that includes more relaxation facilities than tourist spots.

[1192] Plan proposal and reservation

[1193] The server then sends the generated itinerary to the device for the user to review. The user can review the proposed itinerary and make minor adjustments (e.g., change or add tourist attractions) as needed. The user then makes reservations for restaurants and activities included in the itinerary through the device.

[1194] As a concrete example, let's assume that a user is planning a trip to Kyoto. The user enters the following wishes into the device, and the emotion engine recognizes the emotion "excitement":

[1195] Places I want to go to: Kyoto

[1196] Things to do: Sightseeing, eating at Japanese restaurants

[1197] Budget: 10,000 yen per day

[1198] Based on this information, the server retrieves information from the Internet, such as the opening hours of Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine, the nearest station, and the reservation status of Japanese restaurants. At the same time, it takes into account the user's "excitement" emotion and generates a travel plan that includes active activities (e.g., hiking trails and special events).

[1199] Next, the generated plan is sent to the terminal, where the user can confirm and make a reservation. For example, the following plan may be proposed:

[1200] 10:00 - Arrive at Kyoto Station

[1201] 10:30 - Sightseeing at Kiyomizu-dera Temple

[1202] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[1203] 14:00 - Visit to Fushimi Inari Shrine

[1204] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[1205] 18:00 - Dinner around Kyoto Station

[1206] The server sends this plan to the terminal, and after the user confirms it, they can make reservations for restaurants and activities. The server is responsible for making the reservation, and if successful, a confirmation notice is sent to the user.

[1207] In this way, the present invention provides a system that automatically generates and books optimal travel plans based on the user's feelings and desires, allowing the user to enjoy a more personalized travel experience efficiently and effectively.

[1208] The processing flow will be explained below.

[1209] Step 1:

[1210] The user uses the device to input travel preferences (places they want to go, things they want to do, budget, etc.) and uses voice input and facial recognition through the device's interface to collect emotional data.

[1211] Step 2:

[1212] The terminal transmits the desired items and emotional data entered by the user to the server. The emotional data includes emotional states such as "joy," "excitement," and "relaxation" through voice and facial analysis.

[1213] Step 3:

[1214] The server analyzes the received preference items and emotional data, which includes voice data and image data, to identify the user's emotional state.

[1215] Step 4:

[1216] The server collects travel-related data from the internet, such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability, through API requests and analyzes them.

[1217] Step 5:

[1218] The server generates an optimal travel plan based on the collected data and the user's emotional data. This process includes selecting activities and sightseeing spots based on travel time, facility opening hours, costs, and the user's emotional state.

[1219] Step 6:

[1220] The server sends the generated travel plan to the terminal, where the user can check the plan.

[1221] Step 7:

[1222] The user reviews the proposed itinerary and makes any necessary adjustments. After making the adjustments, the user is ready to make reservations for the restaurants and activities included in the itinerary.

[1223] Step 8:

[1224] The user makes reservations for restaurants and activities included in the proposed plan through the terminal. By pressing the reservation button, a reservation request is sent to the server.

[1225] Step 9:

[1226] The server receives the reservation request, accesses the reservation system of each facility or service provider, and executes the reservation. If the reservation is successful, it sends a confirmation notice to the user.

[1227] Step 10:

[1228] The server sends the reservation confirmation information to the terminal, allowing the user to check the details, thus completing the user's final confirmation and preparation of the travel plan.

[1229] As a concrete example, let's assume that a user is planning a trip to Kyoto. The user enters the following wishes into the device, and the emotion engine recognizes the emotion "excitement":

[1230] Places I want to go to: Kyoto

[1231] Things to do: Sightseeing, eating at Japanese restaurants

[1232] Budget: 10,000 yen per day

[1233] Based on this information, the server collects data such as the opening hours of Kiyomizu-dera Temple, the nearest station to Fushimi Inari Taisha Shrine, and the reservation status of Japanese restaurants. At the same time, the emotion engine generates a travel plan including active activities (e.g., hiking or special events) based on the emotion of "excitement."

[1234] Next, the generated plan is sent to the terminal, where the user can confirm and make a reservation. For example, the following plan is proposed:

[1235] 10:00 - Arrive at Kyoto Station

[1236] 10:30 - Sightseeing at Kiyomizu-dera Temple

[1237] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[1238] 14:00 - Visit to Fushimi Inari Shrine

[1239] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[1240] 18:00 - Dinner around Kyoto Station

[1241] Finally, the server sends the reservation information to the user's device and allows them to confirm all details, allowing the user to finalize their travel plans and complete the reservation.

[1242] Example 2

[1243] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1244] Conventional travel plan generation systems have difficulty creating plans that take user emotions into consideration, and have been unable to provide users with the optimal travel experience. This has resulted in a problem of reduced travel satisfaction. The present invention aims to utilize user emotion data to generate more personalized travel plans and improve users' travel experiences.

[1245] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input desired travel items from a terminal, a means for analyzing the desired items and the user's emotion data transmitted from the terminal, a means for generating an appropriate travel plan based on the emotion data and desired items obtained by the analysis, and a means for transmitting the generated plan to the terminal so that the user can make a reservation. This makes it possible to automatically generate a personalized travel plan based on the user's emotions.

[1246] A "terminal" is an electronic device that allows a user to input information and exchange data with a server.

[1247] "Desired items" are information such as destination, things to do, budget, etc. that the user inputs regarding the trip.

[1248] "Emotion data" is information about emotions analyzed from the voice and facial expressions of the user.

[1249] The "analysis means" refers to software or hardware for analyzing the user's emotions based on the data sent from the terminal.

[1250] A "travel plan" is a list of travel schedules and activities that is generated based on the user's desired items and emotion data.

[1251] The "means for making reservations" is an interface that allows a user to make necessary reservations based on their travel plans.

[1252] "Optimization" is the process of creating the most efficient and satisfying plan for the user based on the collected data.

[1253] An "algorithm" is a defined set of calculations or steps to solve a particular problem.

[1254] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[1255] User Input

[1256] First, the user uses the terminal to input desired travel information. Desired information includes places to go, things to do, and a budget. For example, a user inputs "Kyoto" as the "place to go," selects "sightseeing" and "dining at a Japanese restaurant" as the "things to do," and sets the "budget" to "10,000 yen per day." This information is entered through an input form, and the terminal sends the data to the server.

[1257] Users can also express their emotions using voice input or facial recognition. For example, if a user says "I'm excited!" to the device, the voice is collected as emotional data. This emotional data is also sent from the device to the server.

[1258] Emotion engine processing

[1259] The server receives voice and facial expression data sent from the device. The emotion engine analyzes this data and identifies the user's emotional state. Specifically, by using software such as Google Cloud's emotion recognition API, emotions such as "excitement," "joy," and "relaxation" can be recognized from the user's voice and facial expressions.

[1260] Data collection and analysis

[1261] The server collects related information from the Internet based on the user's desired item data and emotion data. The collected data includes public transportation timetables, business hours of tourist facilities, and reservation status of Japanese restaurants. Specifically, it uses the Google Maps API to obtain public transportation timetables, the Official Website API to obtain business hours of tourist facilities, and the OpenTable API to check restaurant reservation status.

[1262] The server analyzes this data and generates a travel plan that matches the user's wishes and feelings.

[1263] Generate a travel plan

[1264] The server generates the optimal travel plan for the user based on the collected data and the emotional data recognized by the emotion engine. For example, if the user has the emotion "excitement," the server generates a plan that includes many active activities (e.g., hiking trails and special events). The generated plan is optimized to match the user's desired items and emotional data, with travel time, facility opening hours, total cost, and other factors.

[1265] Plan proposal and reservation

[1266] The generated travel plan is sent from the server to the device, where the user can review it. The user reviews the plan and makes any necessary adjustments. The user then makes restaurant and activity reservations through the device. The server is responsible for executing the reservation, and upon success, a confirmation is sent to the user.

[1267] Specific examples

[1268] For example, suppose the user is traveling to Kyoto. The program proceeds as follows:

[1269] 1. The user enters the following preferences into the terminal:

[1270] Places I want to go to: Kyoto

[1271] Things to do: Sightseeing, eating at Japanese restaurants

[1272] Budget: 10,000 yen per day

[1273] 2. The emotion engine recognizes the emotion of "excitement" from the user's voice input.

[1274] 3. The server generates a plan based on the collected data, such as:

[1275] 10:00 - Arrive at Kyoto Station

[1276] 10:30 - Sightseeing at Kiyomizu-dera Temple

[1277] 12:00 - Lunch at a Japanese restaurant (reservations available, special menu suggestions based on emotions)

[1278] 14:00 - Visit to Fushimi Inari Shrine

[1279] 16:00 - Special event in a Kyoto townhouse (recommended emotion-based activities)

[1280] 18:00 - Dinner around Kyoto Station

[1281] 4. The server sends the generated plan to the terminal, where the user confirms it and makes a reservation.

[1282] Example prompts for generative AI models

[1283] "If a user is traveling to Kyoto, generate the perfect itinerary for that excited user. The data you need is information like the opening hours of Kiyomizu-dera Temple and Fushimi Inari Taisha Shrine, the nearest train station, and the reservation status of Japanese restaurants."

[1284] As a result, the present invention provides a system that automatically generates optimal travel plans based on the user's emotions and desires and also allows the user to make reservations, thereby enabling the user to enjoy a more personalized travel experience efficiently and effectively.

[1285] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1286] Step 1: User Input

[1287] The user uses the terminal to input desired travel information. Input items include the places they want to go, the things they want to do, and their budget. Specifically, they input "Places I want to go: Kyoto," "Things I want to do: sightseeing, eating at a Japanese restaurant," and "Budget: 10,000 yen per day" into the input form on the terminal. This information is sent to the server by clicking the send button on the terminal.

[1288] Input: Data of desired items entered by the user in the input form

[1289] Output: Data of desired items sent to the server

[1290] Step 2: Collect and send emotion data

[1291] The user uses the device to communicate their emotions through voice input and facial recognition. For example, if the user says "I'm excited!", the voice is collected as emotional data. Facial expressions are also collected through the camera. The collected emotional data is sent from the device to the server.

[1292] Input: User voice and facial expression data

[1293] Output: Emotion data sent to the server

[1294] Step 3: Emotion recognition processing

[1295] The server performs emotion recognition processing based on the voice data and facial expression data received from the device. The emotion engine analyzes this data and identifies the user's emotional state. Specifically, it uses an emotion recognition API (e.g., Google Cloud's emotion recognition API) to analyze the voice and facial expression data and recognize emotions such as "excitement," "joy," and "relaxation."

[1296] Input: Emotion data sent from the device

[1297] Output: Type of emotion analyzed (e.g. "excited")

[1298] Step 4: Data collection

[1299] The server collects relevant information from the Internet based on the user's desired items and emotion data. Specifically, it uses the Google Maps API to obtain public transportation timetables, the Official Website API to obtain the opening hours of tourist attractions, and the OpenTable API to check restaurant reservations.

[1300] Input: User's desired item data and emotion data

[1301] Output: Collected relevant data (e.g. timetable, opening hours, reservation status)

[1302] Step 5: Data analysis and optimization

[1303] The server analyzes the collected data and generates a travel plan that matches the user's desires and emotions. The data analysis takes into account travel time, facility opening hours, costs, etc. An optimization algorithm is used to create the most efficient and satisfying plan for the user.

[1304] Input: Relevant data collected

[1305] Output: Optimized itinerary

[1306] Step 6: Propose a travel plan

[1307] The generated travel plan is sent from the server to the device. The user can review the plan and make any necessary adjustments. Specifically, the generated travel plan is displayed on the device screen, and the user can review the contents. After making any necessary changes, the user clicks the send button to confirm the settings.

[1308] Input: Optimized itinerary

[1309] Output: Travel plan confirmed by user

[1310] Step 7: Making a reservation

[1311] After the user confirms their travel plan and confirms the settings, they make reservations for restaurants and activities through their device. The server sends a reservation request to various reservation APIs (e.g., OpenTable) and checks whether the reservation was successful. If the reservation is successful, a success notification is displayed on the user's device.

[1312] Input: User confirmed travel plans

[1313] Output: Notification of reservation success or failure

[1314] (Application example 2)

[1315] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1316] Conventional travel plan generation systems only create plans based on the user's desired items and do not take the user's emotional state into account, making it impossible to provide personalized, optimal travel plans. Furthermore, there is no system that automatically generates optimal plans based on collected data and provides consistent support up to the reservation stage. This has led to a demand for improved efficiency and comfort in travel planning.

[1317] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1318] In this invention, the server includes a means for a user to input travel-related preferences and emotional data from a terminal, a means for collecting travel-related data from the Internet, a means for generating an optimal travel plan based on the collected data and emotional data, and a means for transmitting the generated plan to the terminal and providing a means for the user to make a reservation. This makes it possible to provide a personalized optimal travel plan that takes into account the user's emotional state and achieve consistent reservation support.

[1319] "Means for users to input travel-related preferences from a device" refers to an interface that allows users to input information such as the places they want to go, the things they want to do, and their budget for their trip using a device such as a smartphone or computer.

[1320] "Desired items" refer to detailed information such as places to go, things to do, budget, etc. that a user specifies in their travel plans.

[1321] "Emotion data" refers to information about the user's emotional state obtained by analyzing the user's voice data and facial expression data, including, for example, emotions such as joy, excitement, and relaxation.

[1322] "Means of collecting travel-related data from the Internet" refers to a system that uses APIs, etc. to obtain travel-related information such as public transportation timetables, opening hours of tourist facilities, and restaurant reservation availability via the Internet.

[1323] "Means for generating optimal travel plans based on collected data and emotional data" refers to a system that automatically generates personalized travel plans by optimizing travel time, facility opening hours, budget, etc., taking into account the desired items and emotional data entered by the user.

[1324] "Means for sending the generated plan to the terminal and providing a means for the user to make reservations" refers to a system that sends information about the generated travel plan to the user's terminal and provides a function for the user to make reservations for restaurants, activities, etc. based on the plan contents.

[1325] An "algorithm" refers to a computational procedure or methodology required to achieve a specific goal, in this case, optimizing a travel itinerary schedule based on collected data and sentiment data.

[1326] "Personalized itinerary" refers to an itinerary that is optimized for an individual user and tailored based on the user's individual preferences and emotional state.

[1327] The present invention relates to a system for recognizing a user's emotions and generating an optimal travel plan based on the emotions. Specific embodiments for carrying out the present invention will be described in detail below.

[1328] System configuration

[1329] The system consists of the following main components:

[1330] 1. Terminal: A device where users input their travel preferences and emotional data using a smartphone or computer.

[1331] 2. Server: A central processing unit that receives the information entered by the user, generates an optimal travel plan, and provides it to the user.

[1332] 3. Emotion recognition engine: Software that analyzes a user's emotions from voice and facial images.

[1333] 4. Data collection module: API interface for collecting travel-related data from the internet.

[1334] 5. Plan generation engine: An algorithm that generates optimal travel plans based on the user's preferences and emotional data.

[1335] 6. Reservation system: A system that provides the generated plan to the user and makes the reservation on their behalf.

[1336] Program processing

[1337] The device provides an interface for users to input their travel preferences (places they want to go, things they want to do, budget, etc.) Users can also provide emotion data using voice input or face recognition.

[1338] The server receives the desired items and emotional data sent from the device. Specifically, it analyzes the voice and facial data using an emotion recognition engine (e.g., Microsoft Azure Emotion API) to identify the user's emotional state.

[1339] Next, the data collection module retrieves travel-related data from the internet via API, such as public transport timetables, tourist attraction opening hours, and restaurant reservation availability. The server then analyzes the collected data and emotion data based on this data.

[1340] The plan generation engine takes into account the user's preferences and emotional data to generate personalized travel plans, using algorithms to optimize travel times, facility opening hours, budgets, etc.

[1341] Finally, the reservation system sends the generated plan to the user's terminal and provides a function for the user to make reservations for restaurants, activities, etc. based on the plan contents. The server is responsible for making the reservation, and if successful, a confirmation notice is sent to the user.

[1342] Specific examples

[1343] For example, if a user enters the following desires into their smartphone and the emotion is recognized as "Relaxed":

[1344] Places I want to go to: Kyoto

[1345] Things to do: sightseeing, hot springs

[1346] Budget: 20,000 yen per day

[1347] Based on this input, the system collects information on hot spring inns' reservation availability and opening hours, as well as Kyoto's tourist attractions, and generates an optimal relaxation plan based on the user's emotions, which is then sent to the device.

[1348] An example prompt is:

[1349] "Place I want to go: Kyoto", "Things I want to do: sightseeing, hot springs", "Budget: 20,000 yen per day", "User emotion: relaxation".

[1350] In this way, the system of the present invention can automatically generate and book an optimal travel plan that takes into account the user's preferences and emotional state, allowing the user to enjoy a more personalized travel experience efficiently and effectively.

[1351] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1352] Step 1:

[1353] The user uses the device to input travel-related information (places they want to go, things they want to do, budget, etc.) and also provides emotion data using voice input and facial recognition functions.

[1354] Input: Places to go, things to do, budget, voice data, face image data

[1355] Output: Sending preference items and emotion data from the device to the server

[1356] Step 2:

[1357] The terminal transmits the input desired items and emotion data to the server.

[1358] Input: User's preference and emotion data entered into the device

[1359] Output: Preference items and emotion data sent to the server

[1360] Step 3:

[1361] The server analyzes the received preference items and emotion data, and uses an emotion recognition engine to identify the user's emotion from the voice data and facial image.

[1362] Input: User's desired items, voice data, face image data

[1363] Output: Emotional state identified by the emotion recognition engine

[1364] Step 4:

[1365] The server's data collection module obtains travel-related data (public transportation timetables, tourist facility opening hours, restaurant reservation availability, etc.) from the Internet via an API.

[1366] Input: Desired items (places to go, things to do, budget), data requests from various APIs

[1367] Output: Various data related to the trip

[1368] Step 5:

[1369] The server's plan generation engine generates optimal travel plans based on the user's preferences and emotional data, using algorithms to optimize travel time, facility opening hours, budget, etc.

[1370] Input: Collected data (public transport timetables, tourist facility opening hours, restaurant reservation availability, etc.), emotion recognition engine results, user preferences

[1371] Output: A personalized itinerary

[1372] Step 6:

[1373] The server sends the generated travel plan to the terminal, where the user can review the plan and make any necessary adjustments.

[1374] Input: Personalized itinerary

[1375] Output: Travel plan sent to device, user confirmation and refinement of plan

[1376] Step 7:

[1377] The user makes reservations (restaurants, activities, etc.) based on the plan through the terminal. The server makes the reservation on behalf of the user and sends a confirmation notice to the user if the reservation is successful.

[1378] Input: Final, tweaked itinerary, user's booking request

[1379] Output: Confirmation of successful booking, notification of completed booking based on plan

[1380] This allows users to efficiently plan and enjoy a more personalized travel experience.

[1381] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1382] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1383] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1384] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1385] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1386] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1387] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1388] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1389] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1390] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1391] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1392] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1393] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1394] 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.

[1395] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1396] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1397] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1398] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1399] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1400] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1401] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1402] The following is further disclosed regarding the above embodiment.

[1403] (Claim 1)

[1404] A means for a user to input desired travel items from a terminal;

[1405] means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal;

[1406] A means for generating an optimal travel plan for a user based on the collected data;

[1407] means for transmitting the generated plan to a terminal and providing a means for a user to make a reservation;

[1408] A system including:

[1409] (Claim 2)

[1410] The system of claim 1 , wherein the travel-related data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability.

[1411] (Claim 3)

[1412] 2. The system of claim 1, wherein the means for generating an optimal travel plan includes an algorithm that optimizes the plan schedule by taking into account travel times, facility opening hours, and costs from the collected data.

[1413] "Example 1"

[1414] (Claim 1)

[1415] A means for a user to input desired travel items from a terminal;

[1416] means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal;

[1417] A means for generating an optimal travel plan for a user based on the collected data;

[1418] means for transmitting the generated plan to a terminal and allowing a user to make a reservation;

[1419] means for efficiently adjusting travel schedules by using an optimization algorithm to generate the travel plan;

[1420] A system including:

[1421] (Claim 2)

[1422] The system of claim 1 , wherein the travel-related data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability.

[1423] (Claim 3)

[1424] The system of claim 1 , wherein the optimization algorithm generates the plan by taking into account travel time, facility hours, and costs.

[1425] "Application Example 1"

[1426] (Claim 1)

[1427] A means for a user to input desired travel items from a terminal;

[1428] means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal;

[1429] A means for generating an optimal travel plan for a user based on the collected data;

[1430] means for transmitting the generated plan to a terminal and allowing a user to make a reservation;

[1431] A means for collecting restaurant information based on the user's preferences and generating an optimal meal plan;

[1432] means for automatically making reservations at restaurants based on the generated plan;

[1433] A system including:

[1434] (Claim 2)

[1435] The system of claim 1 , wherein the travel-related data includes public transportation timetables, tourist attraction opening hours, restaurant reservation availability, and restaurant menu information.

[1436] (Claim 3)

[1437] The system of claim 1, wherein the means for generating the optimal travel plan includes an algorithm that optimizes the plan schedule by taking into account travel time, facility opening hours, costs, and restaurant reservation availability from the collected data.

[1438] "Example 2: Combining Emotion Engines"

[1439] (Claim 1)

[1440] A means for a user to input desired travel items from a terminal;

[1441] means for performing analysis based on the desired items and user emotion data transmitted from the terminal;

[1442] means for generating an appropriate travel plan based on the emotion data and desired items obtained by the analysis;

[1443] means for transmitting the generated plan to a terminal and allowing a user to make a reservation;

[1444] A system including:

[1445] (Claim 2)

[1446] The system of claim 1 , wherein the travel-related data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability.

[1447] (Claim 3)

[1448] 2. The system of claim 1, wherein the means for generating the optimal travel plan includes an algorithm that takes into account data including the user's emotional state and optimizes travel times, facility opening hours, and costs from the collected data.

[1449] "Application example 2 when combining emotion engines"

[1450] (Claim 1)

[1451] A means for a user to input desired travel items from a terminal;

[1452] means for collecting travel-related data from the Internet based on the desired items and emotion data transmitted from the terminal;

[1453] means for generating an optimal travel plan for a user based on the collected data and emotion data;

[1454] means for transmitting the generated plan to a terminal and providing a means for a user to make a reservation;

[1455] A system including:

[1456] (Claim 2)

[1457] The system of claim 1 , wherein the travel-related data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability.

[1458] (Claim 3)

[1459] 2. The system of claim 1, wherein the means for generating the optimal travel plan includes an algorithm that optimizes the plan schedule by taking into account travel times, facility opening hours, and costs from the collected data and sentiment data. [Explanation of symbols]

[1460] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for a user to input desired travel items from a terminal; means for collecting travel-related data from the Internet based on the desired items transmitted from the terminal; A means for generating an optimal travel plan for a user based on the collected data; means for transmitting the generated plan to a terminal and providing a means for a user to make a reservation; A system including:

2. The system of claim 1 , wherein the travel-related data includes public transportation timetables, tourist attraction opening hours, and restaurant reservation availability.

3. The system of claim 1 , wherein the means for generating the optimal travel plan includes an algorithm that optimizes the plan schedule by taking into account travel times, facility opening hours, and costs from the collected data.

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