System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving travel preferences from a user; means for generating a plurality of travel plans based on the received preferences; means for presenting the generated travel plans to the user; means for creating a detailed itinerary based on a plan selected by the user from the presented travel plans; means for notifying the user of the created detailed itinerary; means for tracking the user's location and schedule during travel and providing guidance and interpretation services; and means for collecting and analyzing feedback from the user after the end of travel.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] In conventional travel planning, users must spend a lot of time and effort searching reservation sites and gathering local information, making the process complicated and stressful. Furthermore, there is a lack of real-time guidance and interpretation services during travel, and language barriers and anxiety in unfamiliar places are major issues, especially when traveling abroad. This makes many people hesitant to plan trips. There is a need for a system that solves these issues and allows users to easily plan trips and enjoy their trips with peace of mind. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following means: a system including: means for accepting travel requests from a user; means for generating multiple itineraries based on the accepted requests; means for presenting the generated itineraries to the user; means for creating a detailed itinerary based on a plan selected by the user from the presented itineraries; means for notifying the user of the created detailed itinerary; means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services; and means for collecting and analyzing feedback from the user after the trip. The system also includes means for analyzing user input data using natural language processing and means for analyzing the user's location information in real time and providing the nearest landmarks and directions. In this way, a system is realized that significantly reduces the user's effort and provides consistent support for planning and executing the trip, allowing the user to enjoy their trip with peace of mind.

[0006] "Travel wishes" refers to information such as the user's requests and conditions regarding the trip they wish to take, such as the destination, travel period, and budget.

[0007] A "travel plan" is a plan that includes a specific travel schedule, route, accommodations, transportation, etc., proposed based on the user's wishes.

[0008] A "detailed travel plan" is a detailed schedule of travel dates, accommodations, transportation, tourist spots, etc., based on a travel plan selected by the user.

[0009] "Natural language processing" is a technology that allows computers to analyze and understand the natural language that humans use on a daily basis.

[0010] "Real-time guidance" refers to guidance information that is provided instantly to a traveling user based on their current location information and schedule.

[0011] "Interpretation Services" means translation and interpretation support provided to users traveling in a multilingual environment to overcome language differences.

[0012] "Feedback" refers to opinions and impressions about the travel plan and implementation that a user provides after completing the trip.

[0013] "Location information" is geodata that indicates the current location of a user who is traveling.

[0014] "Guidance" is information that serves as a guide for the user's actions at the travel destination, such as directions to reach the destination and introductions to tourist spots.

[0015] A "user" is a person who uses the system to make travel plans. [Brief explanation of the drawings]

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

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

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

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

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

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

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

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

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

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

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

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

[0037] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides a more detailed travel plan. The system consists of a server and a terminal, allowing users to easily plan their trip and receive support during the trip.

[0038] The program of this system operates as follows.

[0039] First, the user uses a terminal to input their travel wishes, for example, inputting a specific request such as "I want to go somewhere cool during summer vacation."

[0040] The terminal then sends these requests to the server, which then analyzes the received requests using natural language processing technology to understand the user's intentions.

[0041] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's preferences. For example, it selects candidate destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge."

[0042] The generated travel plan is sent from the server to the terminal, which then presents it to the user. The user can select the plan that best suits them from the presented travel plans. For example, if the user selects "Hokkaido," they perform an operation on the terminal to confirm their selection.

[0043] Based on the selected travel plan, the server creates a detailed travel plan, including travel dates, accommodation, transportation, tourist spots, etc. For example, a schedule such as "arrive at New Chitose Airport on August 10th, tour Sapporo on August 11th, and tour Otaru on August 12th" may be created.

[0044] The server then sends the detailed travel plan back to the terminal, which then notifies the user. The user then checks the plan and, if further changes or adjustments are required, requests the server via the terminal.

[0045] Once the trip begins, the server tracks the user's location and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server can analyze the nearest landmarks and directions and provide them to the user via the device.

[0046] After the trip is over, the device collects feedback from the user and sends it to the server. The server analyzes this feedback and uses it to improve the service. For example, a user might enter feedback such as, "The guide to Sapporo was good, but the hotel check-in process was not smooth."

[0047] This system allows users to easily create ideal travel plans and receive various support during their trip. It also enables companies to improve operational efficiency and increase customer satisfaction, and by providing this system to external companies, it is expected that they will be able to expand their business.

[0048] The processing flow will be explained below.

[0049] Step 1:

[0050] The user uses the terminal to input travel wishes, for example, a specific request such as "I want to go somewhere cool during summer vacation."

[0051] Step 2:

[0052] The device receives the user's input data and sends it to the server. The data includes keywords such as "summer vacation" and "cool place."

[0053] Step 3:

[0054] The server analyzes the received requests using natural language processing technology to understand the user's intentions. Here, the server recognizes that the requests are "summer vacation" and "a cool place."

[0055] Step 4:

[0056] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's preferences. For example, it selects candidate destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge."

[0057] Step 5:

[0058] The generated travel plan is sent from the server to the terminal. The terminal presents it to the user. The user is presented with a list of options, with the message "We propose the following plans."

[0059] Step 6:

[0060] The user selects the desired plan from the presented travel plans. For example, the user selects "Hokkaido."

[0061] Step 7:

[0062] The terminal transmits the user's selection to the server, which creates a detailed travel plan based on the selected plan.

[0063] Step 8:

[0064] The server creates a detailed travel plan, including travel dates, accommodation, transportation, tourist attractions, etc. For example, a schedule such as "arrive at New Chitose Airport on August 10th, visit Sapporo on August 11th, and visit Otaru on August 12th" may be created.

[0065] Step 9:

[0066] The detailed travel plan created is sent from the server to the device, which notifies the user and displays, "Arriving at New Chitose Airport on August 10th, checking into Hotel X in the evening. Please confirm."

[0067] Step 10:

[0068] Once the trip begins, the server tracks the user's location and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server analyzes the user's location and sends the nearest landmarks and directions to the device.

[0069] Step 11:

[0070] The device provides guidance and interpretation information to the user based on instructions from the server. For example, it displays to the user, "The nearest station is a five-minute walk away."

[0071] Step 12:

[0072] After the trip, the device collects feedback from the user, displaying a survey asking, "How satisfied were you with your trip?"

[0073] Step 13:

[0074] The user enters and submits their feedback. For example, they might enter, "The information about Sapporo city was very good, but the hotel check-in process was not smooth."

[0075] Step 14:

[0076] The server analyzes the collected feedback and uses it to improve the service, for example, by identifying areas for improvement in the hotel reservation system based on the feedback and incorporating them into the next service.

[0077] Example 1

[0078] 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."

[0079] Conventional travel planning systems place a heavy burden on users to research information and make plans themselves, and lack functionality for real-time support during the trip and feedback collection, making it difficult to provide a high-quality travel experience. This has led to the issue of not being able to sufficiently increase user satisfaction. In particular, it has been difficult to accurately analyze users' requests and provide optimal travel plans based on them.

[0080] 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.

[0081] In this invention, the server includes: means for accepting travel requests from a user; natural language processing means for analyzing the accepted requests; means for generating multiple itineraries based on the analysis results of the natural language processing; means for presenting the generated itineraries to the user; means for creating a detailed itinerary based on a plan selected by the user from the presented itineraries; means for notifying the user of the created detailed itinerary; means for tracking the user's location information and schedule in real time during the trip; means for analyzing the location information in real time to provide the nearest landmarks and routes; means for providing guidance and interpretation services during the trip; means for collecting feedback from the user after the trip and analyzing the collected feedback; means for generating an itinerary based on the user's requests using a generative AI model; and means for inputting prompt sentences into the generative AI model to generate the itinerary. This allows for efficient provision of an optimal itinerary based on the user's requests, real-time support during the trip, and a highly satisfying travel experience.

[0082] "User" means an individual or entity that uses the System to plan, book, or receive assistance with travel.

[0083] "Desires" is information indicating the conditions and requests the user has regarding the trip.

[0084] "Natural language processing means" is a system that uses technology to analyze the requests entered by the user and understand their contents.

[0085] A "travel plan" is a collection of multiple travel courses and schedules proposed based on the user's wishes.

[0086] A "detailed travel plan" is a plan that includes specific itineraries, accommodations, transportation, tourist attractions, etc. according to the selected travel plan.

[0087] "Real-time tracking means" refers to technologies and functions that allow users to instantly know their current location and schedule while traveling.

[0088] A "landmark" is a building or facility that serves as a landmark near the user's current location.

[0089] "Guidance and interpretation services" refers to supplementary support that allows users to obtain information during their travels and communicate across language barriers.

[0090] "Feedback" refers to information such as opinions, impressions, and areas for improvement provided by users after completing their trip.

[0091] A "generative AI model" is a model that uses artificial intelligence technology to generate optimal travel plans based on the user's preferences.

[0092] A "prompt sentence" is an input sentence used to prompt a generative AI model to suggest an appropriate travel plan.

[0093] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides detailed travel plans. The system consists of a server and a terminal, and allows users to easily plan their trip and receive support during the trip.

[0094] Users input their travel preferences using a dedicated application on their smartphone or tablet. For example, they might enter a specific request, such as "I want to go somewhere cool during my summer vacation." The device converts the user's preferences into JSON or XML format and sends it to a server via an internet connection.

[0095] The server uses a server application such as Python or Apache to analyze the received requests using natural language processing technology (e.g., Google Cloud Natural Language API). Based on the analysis results, it understands the user's intent and identifies the travel theme and destination. For example, it extracts keywords such as "family trip," "cool places," and "kids' activities."

[0096] The server references past travel data and trend information from a database system (e.g., MySQL or PostgreSQL) to generate multiple travel plans that match the user's preferences. A generative AI model (e.g., GPT-3.5) is used to generate the plans, and appropriate suggestions are made using prompts. Examples of prompts include, "Please tell me some cool places to enjoy on a family trip. Please suggest places with activities that children can enjoy."

[0097] The generated travel plans are sent from the server to the terminal, which then presents the plans to the user in a visually easy-to-understand format. For example, it displays a detailed overview of each plan, images, and the attractions of the travel destinations. The user selects the plan that best suits them from the presented travel plans and confirms their selection.

[0098] The server creates a detailed travel plan based on the selected travel plan. This plan includes travel dates, accommodations, transportation, tourist spots, etc. Specifically, a schedule such as "arrive at New Chitose Airport on August 10th, tour Sapporo on August 11th, and tour Otaru on August 12th" may be created.

[0099] The detailed travel plan is sent from the server to the device, and the device provides the user with detailed information by sending a notification. The user can check the notification and further adjust the plan if necessary. After the trip begins, the server tracks the user's location information (GPS data) and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server can provide the nearest landmarks and route information in real time.

[0100] After the trip is over, the device collects feedback from the user and sends this information to the server. The server analyzes the feedback and uses it to improve the service. An example of specific feedback is the comment, "The information about Sapporo city was good, but the hotel check-in process was not smooth."

[0101] This invention allows users to easily create ideal travel plans and receive various support services while traveling. It also allows companies to improve operational efficiency and customer satisfaction, and the provision of this system is expected to lead to business expansion.

[0102] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0103] Step 1:

[0104] Users use a smartphone or tablet application to input their travel preferences, such as "I want to go somewhere cool during summer vacation."

[0105] Input: User's wishes (text format)

[0106] Output: Text format of desired items

[0107] Step 2:

[0108] The terminal transmits the user's input preferences to a server via the Internet, converting them into JSON or XML format before transmitting.

[0109] Input: Text format desired data

[0110] Output: Preference data in JSON or XML format

[0111] Step 3:

[0112] The server analyzes the received requests using natural language processing technology. Specifically, it uses Google Cloud Natural Language API and other tools to extract keywords and phrases to understand the user's intent. For example, it extracts keywords such as "family trip," "cool places," and "kids' activities."

[0113] Input: JSON or XML formatted data

[0114] Output: Parsed keywords and phrases

[0115] Step 4:

[0116] The server references past travel data and trend information from the database and generates multiple travel plans based on the analyzed keywords. In this process, it uses a generative AI model (e.g., GPT-3.5) and prompts to generate appropriate travel plans.

[0117] Input: Parsed keywords and phrases

[0118] Example prompt: "Tell me some cool places to go on a family trip. Suggest some places with activities that kids can enjoy."

[0119] Output: Multiple travel plans (text format)

[0120] Step 5:

[0121] The server sends the generated itineraries to the terminal, which then visually presents the received itineraries to the user, displaying an overview of each itinerary, images, and details about the attractions of the travel destinations.

[0122] Input: Multiple travel plans (text format)

[0123] Output: A travel plan that is visually displayed to the user

[0124] Step 6:

[0125] The user selects the most suitable plan from the presented travel plans. When selecting, the user performs operations such as tapping or clicking. For example, to select "Hokkaido," the user presses the selection button for the corresponding plan to confirm.

[0126] Input: User selection of plan

[0127] Output: Selected itinerary

[0128] Step 7:

[0129] The server creates a detailed travel plan based on the selected travel plan. This plan includes specific details such as travel dates, accommodations, transportation, and tourist spots. For example, a schedule such as "arrive at New Chitose Airport on August 10, visit Sapporo on August 11, and visit Otaru on August 12" may be created.

[0130] Input: Selected travel plan

[0131] Output: Detailed travel plan (text format)

[0132] Step 8:

[0133] The server sends the created detailed travel plan to the terminal, which notifies the user of the received plan and displays detailed information about the schedule and accommodations.

[0134] Input: Detailed travel plan (text format)

[0135] Output: A detailed travel plan that is communicated to the user

[0136] Step 9:

[0137] After the user starts their trip, the server tracks their location (GPS data) and schedule in real time. It also provides guidance and interpretation services as needed. For example, if the user gets lost, it provides real-time information on the nearest landmarks and routes.

[0138] Input: User location information (GPS data), schedule information

[0139] Output: Real-time guidance and interpretation services

[0140] Step 10:

[0141] After the trip is over, the device collects feedback from the user. The user enters their experience during the trip and areas for improvement within the application. Specifically, they may enter feedback such as, "The guidance around Sapporo was good, but the hotel check-in process was not smooth." The server analyzes this feedback and uses it to improve the service.

[0142] Input: User feedback

[0143] Output: Parsed feedback data

[0144] (Application example 1)

[0145] 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."

[0146] Conventional travel planning systems do not provide support for users during the trip or collect feedback after the trip. They also lack functionality to meet diverse needs, such as suggesting the best restaurants and delivery options based on meal preferences. Therefore, more advanced support systems are needed to improve the quality of the user experience.

[0147] 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.

[0148] In this invention, the server includes means for accepting travel preferences from a user, means for generating multiple travel plans based on the accepted preferences, means for presenting the generated travel plans to the user, means for creating a detailed travel plan based on a plan selected by the user from the presented travel plans, means for notifying the user of the created detailed travel plan, means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services, means for collecting and analyzing feedback from the user after the trip ends, means for accepting meal preferences from the user, suggesting optimal restaurants and delivery options based on the information, and providing a detailed ordering plan, and means for tracking the progress of orders in real time and providing necessary notification services. This enables users to receive optimal support that meets their diverse needs, including during their trip.

[0149] A "user" is a person who uses the system to receive travel plans and meal suggestions.

[0150] "Travel wishes" refers to travel requests and conditions that a user inputs into the system.

[0151] "Multiple travel plans" refers to multiple different travel itineraries generated based on the user's travel preferences.

[0152] A "detailed travel plan" is a specific travel itinerary, accommodation, transportation, tourist spots, etc., created based on the selected travel plan.

[0153] "Location information" refers to data about a user's current location.

[0154] A "schedule" is the time and content of activities and travel planned by the user.

[0155] "Guidance" refers to direction and location information provided to the user.

[0156] "Interpretation services" means services that assist in communication between different languages.

[0157] "Feedback" refers to opinions and impressions that users provide to the system after using it.

[0158] "Dietary preferences" refer to dietary requests and requirements that a user inputs into the system.

[0159] A "restaurant" is a restaurant where users can eat.

[0160] "Delivery option" is a service that allows users to order the meal they want and have it delivered to their home or a specified location.

[0161] An "order plan" is a specific order content, delivery time, price, etc. that is created based on the menu selected by the user.

[0162] "Notification Service" is a feature that provides users with real-time information about the progress of their orders and trips.

[0163] This invention involves a system that accepts travel and dining preferences from users and, based on that information, suggests optimal travel plans and dining options. The system is comprised of a server and terminals and operates as follows:

[0164] First, the user inputs their travel and dining preferences using a device (smartphone or tablet). For example, the user might input, "I want to go somewhere cool during my summer vacation" or "I want to eat a healthy dinner tonight."

[0165] The device sends these requests to the server, which then uses natural language processing technology to analyze the user's requests. For example, it uses a Python-based NLP engine (spaCy or NLTK) to understand the user's intent.

[0166] Based on the analysis results, the server references past data and trend information from a database (e.g., PostgreSQL or MySQL) to generate multiple travel plans and dining options that match the user's preferences. The generated options are sent to the terminal and presented to the user. For example, they include travel destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge," as well as dining options such as "salad specialty restaurants," "healthy bowls," and "low-calorie restaurants."

[0167] The user selects the most appropriate option from the options presented. For example, if the user selects "Hokkaido" or "Specialty salad bowl from a salad specialty store," the user confirms the selection on the terminal.

[0168] Based on the selected options, the server creates a detailed travel plan or ordering plan, including travel dates, accommodation, transportation, sightseeing spots, order contents, delivery time, and cost. For example, a schedule such as "Arriving at New Chitose Airport on August 10th" and "Ordering a special salad bowl from a salad specialty store for dinner" may be created.

[0169] The detailed plans and schedules created are then sent back to the terminal from the server and notified to the user. The user then checks the plans and, if further changes or adjustments are required, requests are made to the server via the terminal.

[0170] After the trip begins and while the order is in progress, the server tracks the user's location and schedule in real time and provides guidance and notification services as needed. For example, real-time communication (WebSocket and Firebase) using Google Cloud Platform (GCP) or Amazon Web Services (AWS) is used. If the user gets lost, the nearest landmarks and directions can be provided via the device, and the order status can be tracked in real time.

[0171] After the trip or order is completed, the terminal collects feedback from the user and sends it to the server, which analyzes the feedback and uses it to improve the system's services.

[0172] As a concrete example, a user might enter the following prompt sentence:

[0173] "I want to eat a healthy dinner tonight. Can you recommend a restaurant and what's on the menu right now?"

[0174] In this way, users can easily plan trips and meals and receive support during their trips and meal preparations, while businesses can improve service efficiency and increase customer satisfaction.

[0175] The above is an embodiment of the present invention.

[0176] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0177] Step 1:

[0178] The user uses the device to input travel and dining preferences. For example, they might input "I want to go somewhere cool during my summer vacation" or "I want to eat a healthy dinner tonight." The input content is stored on the device as text data.

[0179] Step 2:

[0180] The device sends the user's input data to the server. Specifically, the data is sent using an HTTP request. The server receives the input data via an API.

[0181] Step 3:

[0182] The server analyzes the received input data using natural language processing technology, such as a Python NLP engine (spaCy or NLTK) to understand the user's intent. The analysis results are output as structured data that represents the user's wishes.

[0183] Step 4:

[0184] Based on the analysis results, the server retrieves relevant information from a database (PostgreSQL or MySQL) and generates multiple travel plans and dining options that match the user's preferences. Specifically, it executes SQL queries to reference past travel data and trend information. The generated options are then compiled into multiple choices.

[0185] Step 5:

[0186] The generated travel plans and meal options are sent from the server to the device using HTTP responses. The device receives the data and presents it to the user.

[0187] Step 6:

[0188] The user selects the option that best suits them from the options presented on the device, and the selection is saved as text data on the device.

[0189] Step 7:

[0190] The user's selection is sent back to the server from the device. Specifically, the selected data is sent using an HTTP request. The server receives the data via an API.

[0191] Step 8:

[0192] The server creates a detailed travel and ordering plan based on the selected options. Specifically, it uses scheduling and pricing algorithms to generate a detailed plan including travel itinerary, accommodation, transportation, tourist attractions, order contents, delivery time, and price. The generated plan is output as structured data.

[0193] Step 9:

[0194] The detailed plans and plans created are sent back to the device from the server and notified to the user. Specifically, the data is sent using an HTTP response, which the device displays as a notification.

[0195] Step 10:

[0196] After the trip starts and while the order is in progress, the server tracks the user's location and schedule in real time and provides guidance and notification services as needed, using real-time communication technologies such as WebSocket and Firebase, to provide the nearest landmarks, directions, and order status tracking information based on the user's location.

[0197] Step 11:

[0198] After the trip or order is completed, the terminal collects feedback from the user and sends it to the server. Specifically, the feedback input form collects the user's opinions and thoughts as text data and sends it to the server via an HTTP request. The server receives the data via API, analyzes it, and uses it to improve the service.

[0199] 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.

[0200] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides a detailed travel plan. It also recognizes the user's emotions in real time and provides emotional support. The system consists of a server, a terminal, and an emotion engine. It enables users to easily plan their trip and receive emotional support.

[0201] The program of this system operates as follows.

[0202] First, the user uses a terminal to input their travel wishes, for example, "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[0203] Next, the device sends the user's input data to the server, which includes keywords such as "stress" and "places where you can relax."

[0204] The server uses natural language processing technology to analyze the received requests and understand the user's intentions. The emotion engine also analyzes the user's emotions and takes into account their current emotional state. For example, it can recognize that the user is seeking "relief from stress" and "relaxation."

[0205] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's desires and emotions. For example, it selects candidate locations such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0206] The generated travel plan is sent from the server to the terminal, which then presents it to the user. The user is given a choice of options, with the message "We suggest the following relaxing plans."

[0207] The user selects the desired plan from the presented travel plans. For example, the user selects "hot spring inn."

[0208] The terminal transmits the user's selections to the server, which creates a detailed travel plan based on the selected plan.

[0209] The server creates a detailed travel plan, including travel dates, accommodations, transportation, tourist spots, etc. For example, a schedule might be created such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and do sightseeing in the surrounding area on October 12th."

[0210] The detailed travel plan is sent from the server to the device, and the device notifies the user, displaying the message "Arrive at the hot spring inn on October 10th, and have dinner at the restaurant in the evening. Please confirm."

[0211] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes the user's emotions from facial expressions and voice. Depending on the user's emotional state, guidance and interpretation services are provided. For example, if the user is feeling anxious, the server will suggest relaxing places and activities and notify the user via their device.

[0212] After the trip is over, the device collects feedback from the user and sends it to the server. The emotion engine also analyzes this feedback and identifies areas for improvement based on the user's emotions. For example, a user might enter feedback such as, "The hot spring inn was very relaxing, but I was dissatisfied with the breakfast menu."

[0213] This system allows users to easily create ideal travel plans and receive support that takes their emotional state into consideration, allowing them to enjoy a more satisfying trip. It also enables companies to improve operational efficiency and increase customer satisfaction, and by providing systems that include the emotion engine to external companies, it is expected that they will be able to expand their business.

[0214] The processing flow will be explained below.

[0215] Step 1:

[0216] The user uses the terminal to input their travel wishes, for example, "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[0217] Step 2:

[0218] The device sends the user's input data to the emotion engine, which then analyzes the user's facial expressions and voice. For example, it can recognize that the user is under a high level of stress based on the text posted or the user's facial expression.

[0219] Step 3:

[0220] The device combines the user's input data with the analysis results of the emotion engine and sends the combined data to the server. The transmitted data includes keywords such as "stress" and "places where you can relax" as well as emotion data.

[0221] Step 4:

[0222] The server uses natural language processing technology to analyze the user's wishes and emotional data and understands their intentions. The server recognizes that the user's wishes are "summer vacation" and "a cool place," and that the user is feeling highly stressed.

[0223] Step 5:

[0224] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's desires and emotions. For example, it selects candidate locations such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0225] Step 6:

[0226] The generated travel plan is sent from the server to the device, which then presents it to the user, displaying the message "We suggest the following relaxing plan."

[0227] Step 7:

[0228] The user selects the desired plan from the presented travel plans. For example, the user selects "hot spring inn."

[0229] Step 8:

[0230] The terminal transmits the user's selection to the server, which creates a detailed travel plan based on the selected plan.

[0231] Step 9:

[0232] The server creates a detailed travel plan, including travel dates, accommodations, transportation, tourist spots, etc. For example, a schedule might be created such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and do sightseeing in the surrounding area on October 12th."

[0233] Step 10:

[0234] The detailed travel plan is sent from the server to the device, and the device notifies the user, displaying the message "Arrive at the hot spring inn on October 10th, and have dinner at the restaurant in the evening. Please confirm."

[0235] Step 11:

[0236] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes the user's emotions from facial expressions, voice, etc.

[0237] Step 12:

[0238] The server provides guidance and interpretation services according to the user's emotional state. For example, if the user is feeling anxious, the server will suggest places and activities to relax and notify the user via the device.

[0239] Step 13:

[0240] The terminal provides guidance and interpretation information to the user based on instructions from the server. For example, it displays to the user, "This is the relaxation spot in the hot spring town."

[0241] Step 14:

[0242] After the trip, the device collects feedback from the user by displaying a questionnaire asking, "How satisfied were you with your trip?"

[0243] Step 15:

[0244] The user enters and submits their feedback. For example, they might enter, "The hot spring inn was very relaxing, but I was dissatisfied with the breakfast menu."

[0245] Step 16:

[0246] The server analyzes the collected feedback and uses it to improve services. The emotion engine also analyzes this feedback and identifies areas for improvement based on user emotions. For example, it can identify areas for improvement in hotel services and menus based on feedback and incorporate them into the next service.

[0247] Example 2

[0248] 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."

[0249] Conventional travel planning systems provided travel plans without considering the user's emotional state, making it difficult to maximize user satisfaction. Furthermore, they lacked real-time support during the trip and were unable to quickly respond to the anxiety and stress users felt during their trip. This resulted in a poor user experience and impacted the quality of the trip.

[0250] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for accepting travel requests from a user, means for generating multiple travel plans based on the accepted requests, means for presenting the generated travel plans to the user, means for creating a detailed travel plan based on a plan selected by the user from the presented travel plans, means for notifying the user of the created detailed travel plan, means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services, means for collecting and analyzing feedback from the user after the trip ends, and means for analyzing the user's emotions in real time and providing support based on the emotions. This makes it possible to provide appropriate support in real time, taking into account the user's emotional state.

[0251] "User" refers to a person who uses the system to input travel preferences and receive provided travel plans and detailed travel itineraries.

[0252] "Server" refers to the central computing device that analyzes data received from users, generates travel plans, creates detailed itineraries, and provides real-time assistance.

[0253] "Terminal" refers to the device (smartphone, PC, etc.) on which the user enters data and receives notifications from the server.

[0254] "Travel wishes" refers to the specific conditions and requests (for example, "a place where I can relax" or "stress relief") that the user desires for the trip he or she plans.

[0255] "Multiple travel plans" refers to multiple travel options (for example, "hot spring inn," "resort rich in nature," "quiet beach," etc.) that are generated based on the user's preferences and proposed to the user.

[0256] A "detailed travel plan" refers to a specific schedule or itinerary (e.g., dates, accommodations, transportation, tourist spots, etc.) created based on a travel plan selected by the user.

[0257] "Natural language processing" refers to the technology of analyzing received text data and understanding its meaning and intent.

[0258] "Emotion analysis technology" refers to technology that analyzes the user's input data, facial expressions, voice, etc. while traveling to recognize the user's emotional state.

[0259] "Location information" refers to geographical location data of the user's current location.

[0260] "Real-time tracking" refers to the continuous monitoring of a user's location and emotional state, and the immediate reflection of that information.

[0261] "Feedback" refers to opinions and impressions regarding the experience and satisfaction provided by the user after the trip is completed.

[0262] "Assistance" refers to advice and assistance (e.g., guidance and interpretation services) provided based on the user's emotional state and travel situation.

[0263] To implement this invention, the system uses the following hardware and software configuration: The system is mainly composed of a server, a terminal, and an emotion engine.

[0264] 1. Hardware and Software Configuration

[0265] server

[0266] The server is the central device that receives data from users and generates itineraries using natural language processing and sentiment analysis techniques. This server uses the following software and tools:

[0267] Natural Language Processing Technology: Apache OpenNLP or Google Cloud Natural Language API

[0268] Database management system: MySQL or PostgreSQL

[0269] Sentiment analysis technology: IBM Watson Tone Analyzer or Microsoft Azure Text Analytics

[0270] Terminal

[0271] The terminal is a device that allows users to input their travel preferences and receive notifications from the server. It can be a smartphone or PC. The terminal preferably includes the following software:

[0272] Input form: Web form or application form

[0273] Communication module: A module for sending HTTP requests

[0274] Emotion Engine

[0275] The emotion engine is a component that analyzes emotions from user input and travel data, enabling support based on the user's emotions.

[0276] 2. Data processing and calculation

[0277] Natural Language Processing

[0278] The server uses natural language processing technology to analyze the text data sent by the user. For example, if the user enters, "I'm stressed out from work, so I want to go somewhere where I can relax," the server analyzes this text and extracts the keywords "stress" and "place where I can relax."

[0279] Emotion analysis

[0280] The emotion engine identifies the user's emotional state from text data analyzed using natural language processing. For example, if the keyword "stress" is included, it will recognize that the user is feeling stressed.

[0281] Generate a travel plan

[0282] The server then searches for and generates relevant travel plans from a database based on the analysis results, generating multiple options such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0283] 3. Specific Examples

[0284] Example 1:

[0285] Input (user): "I'm stressed out at work, so I want to go somewhere to relax."

[0286] Processing (server): Analyze using natural language processing and extract "stress" and "relax" as keywords. Recognize the user's emotions (stress) using an emotion engine.

[0287] Output (server): Generates candidates such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0288] Output (terminal): Display candidate locations with the message "We suggest the following relaxing plans."

[0289] Example 2:

[0290] User Input: "The hot spring inn was very relaxing, but I was disappointed with the breakfast menu."

[0291] Processing (Server): Analyzes feedback data and identifies areas for improvement.

[0292] Output (terminal): Displays "Thank you for your feedback. We will consider improving our breakfast menu."

[0293] Prompt Sentence Examples

[0294] "Please suggest a relaxing trip. I'm stressed out from work, so I'd like to go somewhere where I can relax in nature."

[0295] "Please create a detailed travel plan including sightseeing around the hot spring inn. If possible, please also let me know the schedule."

[0296] As described above, this invention is a system that takes into account the user's wishes and emotional state, provides an appropriate travel plan, and provides real-time support, thereby increasing user satisfaction. Operation of this system improves the quality of travel and provides a more fulfilling user experience.

[0297] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0298] Step 1:

[0299] The user uses the terminal to input travel preferences.

[0300] Input: The user enters a specific request into a text form, such as "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[0301] How it works: When the user clicks the input button, the device temporarily stores this text data in its internal memory.

[0302] Output: Your wishes will be saved as text data on your device.

[0303] Step 2:

[0304] The terminal sends the input data to the server.

[0305] Input: The text data entered by the user in step 1.

[0306] How it works: The device sends this data to the server using an HTTP POST request, with the data encoded in JSON format.

[0307] Output: JSON format data arrives at the server.

[0308] Step 3:

[0309] The server analyzes the received data to understand the user's intentions and emotional state.

[0310] Input: The JSON formatted request sent from the terminal in step 2.

[0311] Operation:

[0312] The server first uses natural language processing technology (e.g., Apache OpenNLP) to analyze the text data and extract important keywords (e.g., "stress" and "relaxation").

[0313] Next, sentiment analysis technology (e.g., IBM Watson Tone Analyzer) is used to identify the emotional state of keywords and the text as a whole.

[0314] Output: Extracted keywords and sentiment analysis results.

[0315] Step 4:

[0316] The server generates a travel plan from the database.

[0317] Input: Keywords extracted in Step 3 ("stress" and "relax") and sentiment analysis results.

[0318] Operation:

[0319] The server queries a database (e.g., MySQL) to find suitable travel plans (e.g., "hot spring inns," "resorts rich in nature," "quiet beaches") based on past travel data and trend information.

[0320] Select and list several suitable plans.

[0321] Output: A list of selected itineraries.

[0322] Step 5:

[0323] The server transmits the generated plan to the terminal, which then presents it to the user.

[0324] Input: The list of itineraries generated in step 4.

[0325] Operation:

[0326] The server encodes this list in JSON format and sends it to the terminal.

[0327] The device analyzes the received data and displays the selected plan to the user along with the message, "We suggest the following relaxing plan."

[0328] Output: The proposed plan is displayed to the user.

[0329] Step 6:

[0330] The user selects the plan they want.

[0331] Input: The list of travel plans displayed on your device in step 5.

[0332] Operation: The user selects the desired plan from the presented plans (e.g., "hot spring inn") and clicks the selection button.

[0333] Output: The selected plan information is saved on the device.

[0334] Step 7:

[0335] The terminal sends the selection information to the server, which then creates a detailed travel plan.

[0336] Input: The plan information selected by the user in step 6.

[0337] Operation:

[0338] The terminal transmits information about the selected plan to the server.

[0339] The server uses the information submitted to create a detailed travel plan, including itinerary, accommodation, transportation, and tourist attractions.

[0340] For example, you could create a specific schedule such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and sightsee in the surrounding area on October 12th."

[0341] Output: Detailed travel planning information is generated.

[0342] Step 8:

[0343] The server sends a detailed travel plan to the terminal, which then notifies the user.

[0344] Input: Detailed travel planning information generated in step 7.

[0345] Operation:

[0346] The server sends a detailed travel plan in JSON format to the terminal.

[0347] The device analyzes this and displays a notification saying, "Arrived at the hot spring inn on October 10th, dinner at the restaurant in the evening. Please confirm."

[0348] Output: The user is notified of the detailed itinerary.

[0349] Step 9:

[0350] During the trip, the server tracks and assists the user's location and emotional state in real time.

[0351] Input: Location and emotional state data of the user during the trip.

[0352] Operation:

[0353] The terminal transmits the user's location information to the server at regular intervals.

[0354] The server tracks location information using Google Maps APIs and other tools, and uses an emotion engine to analyze the user's emotional state in real time.

[0355] If the user is feeling anxious, the system will suggest relaxing places and activities and notify the user via their device.

[0356] Output: Real-time guidance and assistance information is provided to the user.

[0357] Step 10:

[0358] After the trip is over, the terminal collects feedback from the user and sends it to the server.

[0359] Input: User feedback data after the trip is completed.

[0360] Operation:

[0361] After the trip, the terminal displays a feedback form, allowing the user to enter their impressions and opinions.

[0362] The terminal transmits this feedback data to the server.

[0363] Output: Feedback data arrives at the server.

[0364] Step 11:

[0365] The server analyzes the feedback and identifies areas for improvement in the system.

[0366] Input: Feedback data submitted in step 10.

[0367] Operation:

[0368] The server uses natural language processing technology to analyze the feedback data and identify user satisfaction and dissatisfaction.

[0369] This information is used to update the database and help improve the accuracy of the next plan generation.

[0370] Output: Improvements are identified and the system is updated.

[0371] (Application example 2)

[0372] 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."

[0373] Conventional travel planning systems generate travel plans without considering the user's emotional state, resulting in a lack of customization based on the user's emotions. Furthermore, they are unable to recommend content based on the user's real-time emotions, which can lead to a decrease in user satisfaction. Therefore, there is a need for a system that can recognize a user's emotions in real time and provide travel plans and content based on their emotions.

[0374] 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.

[0375] In this invention, the server includes a means for recognizing a user's emotions in real time and providing appropriate support based on the emotions, a means for recommending content based on the user's current emotional state, and a means for generating content according to the user's wishes using prompt sentences for the generative AI model. This enables customization based on the user's emotions and provides a higher level of satisfaction.

[0376] "Recognizing user emotions in real time" means analyzing the user's facial expressions and voice using a smartphone or other device to grasp their current emotional state in real time.

[0377] "Providing appropriate support based on emotions" means suggesting guidance and interpretation during travel, as well as activities that help with relaxation and stress relief, based on the user's recognized emotional state.

[0378] "Recommending content based on the user's current emotional state" means analyzing the user's emotions and providing the most appropriate content, such as movies, music, books, and articles, accordingly.

[0379] "Prompts for generative AI models" refer to instructions or questions that are displayed to AI models based on user input and emotional state, and are used to generate optimal content.

[0380] "Natural language processing" is a technology that analyzes text and speech input by users and understands their content, extracting keywords and analyzing their intent.

[0381] "Tracking location and schedule during travel" means monitoring the current location and planned schedule obtained from the user's device in real time and providing support as needed.

[0382] "Providing guidance and interpretation services" means providing information and language assistance that users need during their trip, helping them have a smooth travel experience.

[0383] "Collecting and analyzing feedback" means collecting data on opinions and impressions received from users after the trip and analyzing it to identify areas for improvement.

[0384] "Creating and notifying a detailed travel plan" means creating a plan including details such as specific dates, accommodation, and transportation based on the travel plan selected by the user, and notifying the user of the plan.

[0385] This invention is a system that allows users to plan trips and receive support based on their emotions. This system is composed of a server, a terminal, and an emotion engine, and enables users to easily plan trips and receive support based on their emotions. Specific embodiments for implementing the present invention are described below.

[0386] System Configuration

[0387] 1. User Input

[0388] The user uses the terminal to input their travel wishes, for example, a specific request such as "I want to go to a place where I can relax."

[0389] 2. Data Analysis

[0390] The device sends the user's input data to the server. The server uses natural language processing technology to analyze the input data and understand the user's intentions and wishes. The emotion engine also analyzes data such as voice and facial expressions to detect the user's current emotional state. This is achieved using the Python, OpenCV, dlib, and FER libraries.

[0391] 3. Generate a travel plan

[0392] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's preferences and emotional state. For example, it selects candidates such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0393] 4. Presenting your travel plans

[0394] The generated travel plan is sent from the server to the terminal, which then presents it to the user, who then selects the desired plan from the displayed plans.

[0395] 5. Creating and notifying detailed travel plans

[0396] The device sends the user's selection to the server, which then creates a detailed travel plan based on the selected plan, including travel dates, accommodations, transportation options, tourist attractions, etc. The created plan is sent to the device and notified to the user.

[0397] 6. Travel support

[0398] After the trip begins, the server tracks the user's location and schedule in real time. The emotion engine also analyzes the user's emotions from their facial expressions and voice. Depending on the user's emotional state, the server provides guidance and interpretation services, and suggests relaxing places and activities.

[0399] 7. Feedback Collection and Analysis

[0400] After the trip, the device collects feedback from the user and sends it to the server, where the emotion engine also analyzes this feedback to identify areas for improvement.

[0401] Specific examples

[0402] For example, if a user inputs "I want to watch a relaxing movie" and emotion analysis identifies a strong emotion of "sadness," the server will recommend "relaxing comedy movies" or "moving, heartwarming drama movies."

[0403] Prompt Sentence Examples

[0404] The prompt sentence for the generative AI model is entered as follows:

[0405] Accept input from the user in the following form:

[0406] "I want to watch a movie. I feel like relaxing."

[0407] If emotion analysis strongly identifies "sadness,"

[0408] Please generate a reply in the following format:

[0409] "Recommended content: [Title 1], [Title 2], [Title 3]."

[0410] In this way, it becomes possible to recommend optimal content according to the user's feelings and desires.

[0411] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0412] Step 1:

[0413] The user uses the terminal to input travel preferences.

[0414] Input: User's travel wishes (e.g., "I want to go somewhere relaxing")

[0415] Output: The user's preferences are sent to the terminal.

[0416] Specific operation: The user enters their desired content in text into the app on their device and presses the send button.

[0417] Step 2:

[0418] The terminal transmits the user's input data to the server.

[0419] Input: Text data of desired items

[0420] Output: The request is sent to the server.

[0421] What it does: The device sends the entered preferences to the server as an HTTP request, and the data is packaged in JSON format.

[0422] Step 3:

[0423] The server analyzes the transmitted requests using natural language processing technology to understand the user's intentions and wishes.

[0424] Input: Text data of desired items

[0425] Output: Desire and intent parsed.

[0426] How it works: The server uses a Python natural language processing library (e.g., NLTK or spaCy) to analyze the received text data and extract keywords such as "relax" and "place."

[0427] Step 4:

[0428] The emotion engine analyzes data such as voice and facial expressions to detect the user's current emotional state.

[0429] Input: User voice and facial image data

[0430] Output: Emotional state (e.g. "sad" or "happy")

[0431] Specific operation: The device's camera and microphone are used to capture the user's facial expressions and voice, which are then sent to the server, where emotions are analyzed using libraries such as OpenCV and FER.

[0432] Step 5:

[0433] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's wishes and emotional state.

[0434] Input: Desired content, emotional state, past travel data, trend information

[0435] Output: Multiple travel plans (e.g. "hot spring inn", "resort rich in nature", "quiet beach")

[0436] What it does: The server runs a database query to find travel plans that match the criteria, and then uses a Python algorithm to generate the best plan.

[0437] Step 6:

[0438] The generated travel plan is sent from the server to the terminal, which then presents it to the user.

[0439] Input: Multiple itineraries

[0440] Output: The itinerary displayed to the user

[0441] Specific operation: The server converts the generated travel plan into JSON format and sends it to the device, which then visually displays the received plan to the user.

[0442] Step 7:

[0443] The user selects a desired plan from the presented travel plans.

[0444] Input: proposed travel plan

[0445] Output: Selected itinerary

[0446] Specific operation: The user taps to select the desired plan from the options on the screen and presses the confirmation button.

[0447] Step 8:

[0448] The terminal transmits the user's selections to the server, which creates a detailed travel plan based on the selected plan.

[0449] Input: Selected travel plan

[0450] Output: A detailed itinerary

[0451] Specific operation: The device sends the selected plan back to the server, and the server adds accommodation and transportation options to refine the plan.

[0452] Step 9:

[0453] The created detailed travel plan is sent to the terminal and notified to the user.

[0454] Input: Detailed travel plan

[0455] Output: Travel plan notified to user

[0456] Specific operation: The server sends a detailed plan in JSON format to the terminal, and the terminal notifies the user.

[0457] Step 10:

[0458] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes their emotions.

[0459] Input: Location, schedule, emotional data

[0460] Output: Appropriate support suggestions

[0461] How it works: The device continuously transmits the user's location information to the server, and simultaneously analyzes their emotions. Based on this information, the server then suggests places to relax and activities to refresh them.

[0462] Step 11:

[0463] After the trip is completed, the terminal collects feedback from the user and sends it to the server.

[0464] Input: User feedback

[0465] Output: Feedback data

[0466] Specific operation: The user inputs feedback on the screen of the device and presses the send button, which then sends it to the server.

[0467] Step 12:

[0468] The server analyzes the feedback and uses an emotion engine to identify areas for improvement.

[0469] Input: Feedback data

[0470] Output: Identification of areas for improvement

[0471] Specific operation: The server analyzes the feedback data and uses an emotion engine to extract problems and areas for improvement based on the user's emotional state.

[0472] 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.

[0473] 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.

[0474] 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.

[0475] [Second embodiment]

[0476] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0477] 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.

[0478] 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).

[0479] 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.

[0480] 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.

[0481] 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).

[0482] 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.

[0483] 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.

[0484] 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.

[0485] 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.

[0486] 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.

[0487] 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."

[0488] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides a more detailed travel plan. The system consists of a server and a terminal, allowing users to easily plan their trip and receive support during the trip.

[0489] The program of this system operates as follows.

[0490] First, the user uses a terminal to input their travel wishes, for example, inputting a specific request such as "I want to go somewhere cool during summer vacation."

[0491] The terminal then sends these requests to the server, which then analyzes the received requests using natural language processing technology to understand the user's intentions.

[0492] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's preferences. For example, it selects candidate destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge."

[0493] The generated travel plan is sent from the server to the terminal, which then presents it to the user. The user can select the plan that best suits them from the presented travel plans. For example, if the user selects "Hokkaido," they perform an operation on the terminal to confirm their selection.

[0494] Based on the selected travel plan, the server creates a detailed travel plan, including travel dates, accommodation, transportation, tourist spots, etc. For example, a schedule such as "arrive at New Chitose Airport on August 10th, tour Sapporo on August 11th, and tour Otaru on August 12th" may be created.

[0495] The server then sends the detailed travel plan back to the terminal, which then notifies the user. The user then checks the plan and, if further changes or adjustments are required, requests the server via the terminal.

[0496] Once the trip begins, the server tracks the user's location and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server can analyze the nearest landmarks and directions and provide them to the user via the device.

[0497] After the trip is over, the device collects feedback from the user and sends it to the server. The server analyzes this feedback and uses it to improve the service. For example, a user might enter feedback such as, "The guide to Sapporo was good, but the hotel check-in process was not smooth."

[0498] This system allows users to easily create ideal travel plans and receive various support during their trip. It also enables companies to improve operational efficiency and increase customer satisfaction, and by providing this system to external companies, it is expected that they will be able to expand their business.

[0499] The processing flow will be explained below.

[0500] Step 1:

[0501] The user uses the terminal to input travel wishes, for example, a specific request such as "I want to go somewhere cool during summer vacation."

[0502] Step 2:

[0503] The device receives the user's input data and sends it to the server. The data includes keywords such as "summer vacation" and "cool place."

[0504] Step 3:

[0505] The server analyzes the received requests using natural language processing technology to understand the user's intentions. Here, the server recognizes that the requests are "summer vacation" and "a cool place."

[0506] Step 4:

[0507] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's preferences. For example, it selects candidate destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge."

[0508] Step 5:

[0509] The generated travel plan is sent from the server to the terminal. The terminal presents it to the user. The user is presented with a list of options, with the message "We propose the following plans."

[0510] Step 6:

[0511] The user selects the desired plan from the presented travel plans. For example, the user selects "Hokkaido."

[0512] Step 7:

[0513] The terminal transmits the user's selection to the server, which creates a detailed travel plan based on the selected plan.

[0514] Step 8:

[0515] The server creates a detailed travel plan, including travel dates, accommodation, transportation, tourist attractions, etc. For example, a schedule such as "arrive at New Chitose Airport on August 10th, visit Sapporo on August 11th, and visit Otaru on August 12th" may be created.

[0516] Step 9:

[0517] The detailed travel plan created is sent from the server to the device, which notifies the user and displays, "Arriving at New Chitose Airport on August 10th, checking into Hotel X in the evening. Please confirm."

[0518] Step 10:

[0519] Once the trip begins, the server tracks the user's location and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server analyzes the user's location and sends the nearest landmarks and directions to the device.

[0520] Step 11:

[0521] The device provides guidance and interpretation information to the user based on instructions from the server. For example, it displays to the user, "The nearest station is a five-minute walk away."

[0522] Step 12:

[0523] After the trip, the device collects feedback from the user, displaying a survey asking, "How satisfied were you with your trip?"

[0524] Step 13:

[0525] The user enters and submits their feedback. For example, they might enter, "The information about Sapporo city was very good, but the hotel check-in process was not smooth."

[0526] Step 14:

[0527] The server analyzes the collected feedback and uses it to improve the service, for example, by identifying areas for improvement in the hotel reservation system based on the feedback and incorporating them into the next service.

[0528] Example 1

[0529] 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."

[0530] Conventional travel planning systems place a heavy burden on users to research information and make plans themselves, and lack functionality for real-time support during the trip and feedback collection, making it difficult to provide a high-quality travel experience. This has led to the issue of not being able to sufficiently increase user satisfaction. In particular, it has been difficult to accurately analyze users' requests and provide optimal travel plans based on them.

[0531] 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.

[0532] In this invention, the server includes: means for accepting travel requests from a user; natural language processing means for analyzing the accepted requests; means for generating multiple itineraries based on the analysis results of the natural language processing; means for presenting the generated itineraries to the user; means for creating a detailed itinerary based on a plan selected by the user from the presented itineraries; means for notifying the user of the created detailed itinerary; means for tracking the user's location information and schedule in real time during the trip; means for analyzing the location information in real time to provide the nearest landmarks and routes; means for providing guidance and interpretation services during the trip; means for collecting feedback from the user after the trip and analyzing the collected feedback; means for generating an itinerary based on the user's requests using a generative AI model; and means for inputting prompt sentences into the generative AI model to generate the itinerary. This allows for efficient provision of an optimal itinerary based on the user's requests, real-time support during the trip, and a highly satisfying travel experience.

[0533] "User" means an individual or entity that uses the System to plan, book, or receive assistance with travel.

[0534] "Desires" is information indicating the conditions and requests the user has regarding the trip.

[0535] "Natural language processing means" is a system that uses technology to analyze the requests entered by the user and understand their contents.

[0536] A "travel plan" is a collection of multiple travel courses and schedules proposed based on the user's wishes.

[0537] A "detailed travel plan" is a plan that includes specific itineraries, accommodations, transportation, tourist attractions, etc. according to the selected travel plan.

[0538] "Real-time tracking means" refers to technologies and functions that allow users to instantly know their current location and schedule while traveling.

[0539] A "landmark" is a building or facility that serves as a landmark near the user's current location.

[0540] "Guidance and interpretation services" refers to supplementary support that allows users to obtain information during their travels and communicate across language barriers.

[0541] "Feedback" refers to information such as opinions, impressions, and areas for improvement provided by users after completing their trip.

[0542] A "generative AI model" is a model that uses artificial intelligence technology to generate optimal travel plans based on the user's preferences.

[0543] A "prompt sentence" is an input sentence used to prompt a generative AI model to suggest an appropriate travel plan.

[0544] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides detailed travel plans. The system consists of a server and a terminal, and allows users to easily plan their trip and receive support during the trip.

[0545] Users input their travel preferences using a dedicated application on their smartphone or tablet. For example, they might enter a specific request, such as "I want to go somewhere cool during my summer vacation." The device converts the user's preferences into JSON or XML format and sends it to a server via an internet connection.

[0546] The server uses a server application such as Python or Apache to analyze the received requests using natural language processing technology (e.g., Google Cloud Natural Language API). Based on the analysis results, it understands the user's intent and identifies the travel theme and destination. For example, it extracts keywords such as "family trip," "cool places," and "kids' activities."

[0547] The server references past travel data and trend information from a database system (e.g., MySQL or PostgreSQL) to generate multiple travel plans that match the user's preferences. A generative AI model (e.g., GPT-3.5) is used to generate the plans, and appropriate suggestions are made using prompts. Examples of prompts include, "Please tell me some cool places to enjoy on a family trip. Please suggest places with activities that children can enjoy."

[0548] The generated travel plans are sent from the server to the terminal, which then presents the plans to the user in a visually easy-to-understand format. For example, it displays a detailed overview of each plan, images, and the attractions of the travel destinations. The user selects the plan that best suits them from the presented travel plans and confirms their selection.

[0549] The server creates a detailed travel plan based on the selected travel plan. This plan includes travel dates, accommodations, transportation, tourist spots, etc. Specifically, a schedule such as "arrive at New Chitose Airport on August 10th, tour Sapporo on August 11th, and tour Otaru on August 12th" may be created.

[0550] The detailed travel plan is sent from the server to the device, and the device provides the user with detailed information by sending a notification. The user can check the notification and further adjust the plan if necessary. After the trip begins, the server tracks the user's location information (GPS data) and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server can provide the nearest landmarks and route information in real time.

[0551] After the trip is over, the device collects feedback from the user and sends this information to the server. The server analyzes the feedback and uses it to improve the service. An example of specific feedback is the comment, "The information about Sapporo city was good, but the hotel check-in process was not smooth."

[0552] This invention allows users to easily create ideal travel plans and receive various support services while traveling. It also allows companies to improve operational efficiency and customer satisfaction, and the provision of this system is expected to lead to business expansion.

[0553] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0554] Step 1:

[0555] Users use a smartphone or tablet application to input their travel preferences, such as "I want to go somewhere cool during summer vacation."

[0556] Input: User's wishes (text format)

[0557] Output: Text format of desired items

[0558] Step 2:

[0559] The terminal transmits the user's input preferences to a server via the Internet, converting them into JSON or XML format before transmitting.

[0560] Input: Text format desired data

[0561] Output: Preference data in JSON or XML format

[0562] Step 3:

[0563] The server analyzes the received requests using natural language processing technology. Specifically, it uses Google Cloud Natural Language API and other tools to extract keywords and phrases to understand the user's intent. For example, it extracts keywords such as "family trip," "cool places," and "kids' activities."

[0564] Input: JSON or XML formatted data

[0565] Output: Parsed keywords and phrases

[0566] Step 4:

[0567] The server references past travel data and trend information from the database and generates multiple travel plans based on the analyzed keywords. In this process, it uses a generative AI model (e.g., GPT-3.5) and prompts to generate appropriate travel plans.

[0568] Input: Parsed keywords and phrases

[0569] Example prompt: "Tell me some cool places to go on a family trip. Suggest some places with activities that kids can enjoy."

[0570] Output: Multiple travel plans (text format)

[0571] Step 5:

[0572] The server sends the generated itineraries to the terminal, which then visually presents the received itineraries to the user, displaying an overview of each itinerary, images, and details about the attractions of the travel destinations.

[0573] Input: Multiple travel plans (text format)

[0574] Output: A travel plan that is visually displayed to the user

[0575] Step 6:

[0576] The user selects the most suitable plan from the presented travel plans. When selecting, the user performs operations such as tapping or clicking. For example, to select "Hokkaido," the user presses the selection button for the corresponding plan to confirm.

[0577] Input: User selection of plan

[0578] Output: Selected itinerary

[0579] Step 7:

[0580] The server creates a detailed travel plan based on the selected travel plan. This plan includes specific details such as travel dates, accommodations, transportation, and tourist spots. For example, a schedule such as "arrive at New Chitose Airport on August 10, visit Sapporo on August 11, and visit Otaru on August 12" may be created.

[0581] Input: Selected travel plan

[0582] Output: Detailed travel plan (text format)

[0583] Step 8:

[0584] The server sends the created detailed travel plan to the terminal, which notifies the user of the received plan and displays detailed information about the schedule and accommodations.

[0585] Input: Detailed travel plan (text format)

[0586] Output: A detailed travel plan that is communicated to the user

[0587] Step 9:

[0588] After the user starts their trip, the server tracks their location (GPS data) and schedule in real time. It also provides guidance and interpretation services as needed. For example, if the user gets lost, it provides real-time information on the nearest landmarks and routes.

[0589] Input: User location information (GPS data), schedule information

[0590] Output: Real-time guidance and interpretation services

[0591] Step 10:

[0592] After the trip is over, the device collects feedback from the user. The user enters their experience during the trip and areas for improvement within the application. Specifically, they may enter feedback such as, "The guidance around Sapporo was good, but the hotel check-in process was not smooth." The server analyzes this feedback and uses it to improve the service.

[0593] Input: User feedback

[0594] Output: Parsed feedback data

[0595] (Application example 1)

[0596] 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."

[0597] Conventional travel planning systems do not provide support for users during the trip or collect feedback after the trip. They also lack functionality to meet diverse needs, such as suggesting the best restaurants and delivery options based on meal preferences. Therefore, more advanced support systems are needed to improve the quality of the user experience.

[0598] 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.

[0599] In this invention, the server includes means for accepting travel preferences from a user, means for generating multiple travel plans based on the accepted preferences, means for presenting the generated travel plans to the user, means for creating a detailed travel plan based on a plan selected by the user from the presented travel plans, means for notifying the user of the created detailed travel plan, means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services, means for collecting and analyzing feedback from the user after the trip ends, means for accepting meal preferences from the user, suggesting optimal restaurants and delivery options based on the information, and providing a detailed ordering plan, and means for tracking the progress of orders in real time and providing necessary notification services. This enables users to receive optimal support that meets their diverse needs, including during their trip.

[0600] A "user" is a person who uses the system to receive travel plans and meal suggestions.

[0601] "Travel wishes" refers to travel requests and conditions that a user inputs into the system.

[0602] "Multiple travel plans" refers to multiple different travel itineraries generated based on the user's travel preferences.

[0603] A "detailed travel plan" is a specific travel itinerary, accommodation, transportation, tourist spots, etc., created based on the selected travel plan.

[0604] "Location information" refers to data about a user's current location.

[0605] A "schedule" is the time and content of activities and travel planned by the user.

[0606] "Guidance" refers to direction and location information provided to the user.

[0607] "Interpretation services" means services that assist in communication between different languages.

[0608] "Feedback" refers to opinions and impressions that users provide to the system after using it.

[0609] "Dietary preferences" refer to dietary requests and requirements that a user inputs into the system.

[0610] A "restaurant" is a restaurant where users can eat.

[0611] "Delivery option" is a service that allows users to order the meal they want and have it delivered to their home or a specified location.

[0612] An "order plan" is a specific order content, delivery time, price, etc. that is created based on the menu selected by the user.

[0613] "Notification Service" is a feature that provides users with real-time information about the progress of their orders and trips.

[0614] This invention involves a system that accepts travel and dining preferences from users and, based on that information, suggests optimal travel plans and dining options. The system is comprised of a server and terminals and operates as follows:

[0615] First, the user inputs their travel and dining preferences using a device (smartphone or tablet). For example, the user might input, "I want to go somewhere cool during my summer vacation" or "I want to eat a healthy dinner tonight."

[0616] The device sends these requests to the server, which then uses natural language processing technology to analyze the user's requests. For example, it uses a Python-based NLP engine (spaCy or NLTK) to understand the user's intent.

[0617] Based on the analysis results, the server references past data and trend information from a database (e.g., PostgreSQL or MySQL) to generate multiple travel plans and dining options that match the user's preferences. The generated options are sent to the terminal and presented to the user. For example, they include travel destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge," as well as dining options such as "salad specialty restaurants," "healthy bowls," and "low-calorie restaurants."

[0618] The user selects the most appropriate option from the options presented. For example, if the user selects "Hokkaido" or "Specialty salad bowl from a salad specialty store," the user confirms the selection on the terminal.

[0619] Based on the selected options, the server creates a detailed travel plan or ordering plan, including travel dates, accommodation, transportation, sightseeing spots, order contents, delivery time, and cost. For example, a schedule such as "Arriving at New Chitose Airport on August 10th" and "Ordering a special salad bowl from a salad specialty store for dinner" may be created.

[0620] The detailed plans and schedules created are then sent back to the terminal from the server and notified to the user. The user then checks the plans and, if further changes or adjustments are required, requests are made to the server via the terminal.

[0621] After the trip begins and while the order is in progress, the server tracks the user's location and schedule in real time and provides guidance and notification services as needed. For example, real-time communication (WebSocket and Firebase) using Google Cloud Platform (GCP) or Amazon Web Services (AWS) is used. If the user gets lost, the nearest landmarks and directions can be provided via the device, and the order status can be tracked in real time.

[0622] After the trip or order is completed, the terminal collects feedback from the user and sends it to the server, which analyzes the feedback and uses it to improve the system's services.

[0623] As a concrete example, a user might enter the following prompt sentence:

[0624] "I want to eat a healthy dinner tonight. Can you recommend a restaurant and what's on the menu right now?"

[0625] In this way, users can easily plan trips and meals and receive support during their trips and meal preparations, while businesses can improve service efficiency and increase customer satisfaction.

[0626] The above is an embodiment of the present invention.

[0627] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0628] Step 1:

[0629] The user uses the device to input travel and dining preferences. For example, they might input "I want to go somewhere cool during my summer vacation" or "I want to eat a healthy dinner tonight." The input content is stored on the device as text data.

[0630] Step 2:

[0631] The device sends the user's input data to the server. Specifically, the data is sent using an HTTP request. The server receives the input data via an API.

[0632] Step 3:

[0633] The server analyzes the received input data using natural language processing technology, such as a Python NLP engine (spaCy or NLTK) to understand the user's intent. The analysis results are output as structured data that represents the user's wishes.

[0634] Step 4:

[0635] Based on the analysis results, the server retrieves relevant information from a database (PostgreSQL or MySQL) and generates multiple travel plans and dining options that match the user's preferences. Specifically, it executes SQL queries to reference past travel data and trend information. The generated options are then compiled into multiple choices.

[0636] Step 5:

[0637] The generated travel plans and meal options are sent from the server to the device using HTTP responses. The device receives the data and presents it to the user.

[0638] Step 6:

[0639] The user selects the option that best suits them from the options presented on the device, and the selection is saved as text data on the device.

[0640] Step 7:

[0641] The user's selection is sent back to the server from the device. Specifically, the selected data is sent using an HTTP request. The server receives the data via an API.

[0642] Step 8:

[0643] The server creates a detailed travel and ordering plan based on the selected options. Specifically, it uses scheduling and pricing algorithms to generate a detailed plan including travel itinerary, accommodation, transportation, tourist attractions, order contents, delivery time, and price. The generated plan is output as structured data.

[0644] Step 9:

[0645] The detailed plans and plans created are sent back to the device from the server and notified to the user. Specifically, the data is sent using an HTTP response, which the device displays as a notification.

[0646] Step 10:

[0647] After the trip starts and while the order is in progress, the server tracks the user's location and schedule in real time and provides guidance and notification services as needed, using real-time communication technologies such as WebSocket and Firebase, to provide the nearest landmarks, directions, and order status tracking information based on the user's location.

[0648] Step 11:

[0649] After the trip or order is completed, the terminal collects feedback from the user and sends it to the server. Specifically, the feedback input form collects the user's opinions and thoughts as text data and sends it to the server via an HTTP request. The server receives the data via API, analyzes it, and uses it to improve the service.

[0650] 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.

[0651] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides a detailed travel plan. It also recognizes the user's emotions in real time and provides emotional support. The system consists of a server, a terminal, and an emotion engine. It enables users to easily plan their trip and receive emotional support.

[0652] The program of this system operates as follows.

[0653] First, the user uses a terminal to input their travel wishes, for example, "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[0654] Next, the device sends the user's input data to the server, which includes keywords such as "stress" and "places where you can relax."

[0655] The server uses natural language processing technology to analyze the received requests and understand the user's intentions. The emotion engine also analyzes the user's emotions and takes into account their current emotional state. For example, it can recognize that the user is seeking "relief from stress" and "relaxation."

[0656] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's desires and emotions. For example, it selects candidate locations such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0657] The generated travel plan is sent from the server to the terminal, which then presents it to the user. The user is given a choice of options, with the message "We suggest the following relaxing plans."

[0658] The user selects the desired plan from the presented travel plans. For example, the user selects "hot spring inn."

[0659] The terminal transmits the user's selections to the server, which creates a detailed travel plan based on the selected plan.

[0660] The server creates a detailed travel plan, including travel dates, accommodations, transportation, tourist spots, etc. For example, a schedule might be created such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and do sightseeing in the surrounding area on October 12th."

[0661] The detailed travel plan is sent from the server to the device, and the device notifies the user, displaying the message "Arrive at the hot spring inn on October 10th, and have dinner at the restaurant in the evening. Please confirm."

[0662] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes the user's emotions from facial expressions and voice. Depending on the user's emotional state, guidance and interpretation services are provided. For example, if the user is feeling anxious, the server will suggest relaxing places and activities and notify the user via their device.

[0663] After the trip is over, the device collects feedback from the user and sends it to the server. The emotion engine also analyzes this feedback and identifies areas for improvement based on the user's emotions. For example, a user might enter feedback such as, "The hot spring inn was very relaxing, but I was dissatisfied with the breakfast menu."

[0664] This system allows users to easily create ideal travel plans and receive support that takes their emotional state into consideration, allowing them to enjoy a more satisfying trip. It also enables companies to improve operational efficiency and increase customer satisfaction, and by providing systems that include the emotion engine to external companies, it is expected that they will be able to expand their business.

[0665] The processing flow will be explained below.

[0666] Step 1:

[0667] The user uses the terminal to input their travel wishes, for example, "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[0668] Step 2:

[0669] The device sends the user's input data to the emotion engine, which then analyzes the user's facial expressions and voice. For example, it can recognize that the user is under a high level of stress based on the text posted or the user's facial expression.

[0670] Step 3:

[0671] The device combines the user's input data with the analysis results of the emotion engine and sends the combined data to the server. The transmitted data includes keywords such as "stress" and "places where you can relax" as well as emotion data.

[0672] Step 4:

[0673] The server uses natural language processing technology to analyze the user's wishes and emotional data and understands their intentions. The server recognizes that the user's wishes are "summer vacation" and "a cool place," and that the user is feeling highly stressed.

[0674] Step 5:

[0675] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's desires and emotions. For example, it selects candidate locations such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0676] Step 6:

[0677] The generated travel plan is sent from the server to the device, which then presents it to the user, displaying the message "We suggest the following relaxing plan."

[0678] Step 7:

[0679] The user selects the desired plan from the presented travel plans. For example, the user selects "hot spring inn."

[0680] Step 8:

[0681] The terminal transmits the user's selection to the server, which creates a detailed travel plan based on the selected plan.

[0682] Step 9:

[0683] The server creates a detailed travel plan, including travel dates, accommodations, transportation, tourist spots, etc. For example, a schedule might be created such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and do sightseeing in the surrounding area on October 12th."

[0684] Step 10:

[0685] The detailed travel plan is sent from the server to the device, and the device notifies the user, displaying the message "Arrive at the hot spring inn on October 10th, and have dinner at the restaurant in the evening. Please confirm."

[0686] Step 11:

[0687] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes the user's emotions from facial expressions, voice, etc.

[0688] Step 12:

[0689] The server provides guidance and interpretation services according to the user's emotional state. For example, if the user is feeling anxious, the server will suggest places and activities to relax and notify the user via the device.

[0690] Step 13:

[0691] The terminal provides guidance and interpretation information to the user based on instructions from the server. For example, it displays to the user, "This is the relaxation spot in the hot spring town."

[0692] Step 14:

[0693] After the trip, the device collects feedback from the user by displaying a questionnaire asking, "How satisfied were you with your trip?"

[0694] Step 15:

[0695] The user enters and submits their feedback. For example, they might enter, "The hot spring inn was very relaxing, but I was dissatisfied with the breakfast menu."

[0696] Step 16:

[0697] The server analyzes the collected feedback and uses it to improve services. The emotion engine also analyzes this feedback and identifies areas for improvement based on user emotions. For example, it can identify areas for improvement in hotel services and menus based on feedback and incorporate them into the next service.

[0698] Example 2

[0699] 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."

[0700] Conventional travel planning systems provided travel plans without considering the user's emotional state, making it difficult to maximize user satisfaction. Furthermore, they lacked real-time support during the trip and were unable to quickly respond to the anxiety and stress users felt during their trip. This resulted in a poor user experience and impacted the quality of the trip.

[0701] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for accepting travel requests from a user, means for generating multiple travel plans based on the accepted requests, means for presenting the generated travel plans to the user, means for creating a detailed travel plan based on a plan selected by the user from the presented travel plans, means for notifying the user of the created detailed travel plan, means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services, means for collecting and analyzing feedback from the user after the trip ends, and means for analyzing the user's emotions in real time and providing support based on the emotions. This makes it possible to provide appropriate support in real time, taking into account the user's emotional state.

[0702] "User" refers to a person who uses the system to input travel preferences and receive provided travel plans and detailed travel itineraries.

[0703] "Server" refers to the central computing device that analyzes data received from users, generates travel plans, creates detailed itineraries, and provides real-time assistance.

[0704] "Terminal" refers to the device (smartphone, PC, etc.) on which the user enters data and receives notifications from the server.

[0705] "Travel wishes" refers to the specific conditions and requests (for example, "a place where I can relax" or "stress relief") that the user desires for the trip he or she plans.

[0706] "Multiple travel plans" refers to multiple travel options (for example, "hot spring inn," "resort rich in nature," "quiet beach," etc.) that are generated based on the user's preferences and proposed to the user.

[0707] A "detailed travel plan" refers to a specific schedule or itinerary (e.g., dates, accommodations, transportation, tourist spots, etc.) created based on a travel plan selected by the user.

[0708] "Natural language processing" refers to the technology of analyzing received text data and understanding its meaning and intent.

[0709] "Emotion analysis technology" refers to technology that analyzes the user's input data, facial expressions, voice, etc. while traveling to recognize the user's emotional state.

[0710] "Location information" refers to geographical location data of the user's current location.

[0711] "Real-time tracking" refers to the continuous monitoring of a user's location and emotional state, and the immediate reflection of that information.

[0712] "Feedback" refers to opinions and impressions regarding the experience and satisfaction provided by the user after the trip is completed.

[0713] "Assistance" refers to advice and assistance (e.g., guidance and interpretation services) provided based on the user's emotional state and travel situation.

[0714] To implement this invention, the system uses the following hardware and software configuration: The system is mainly composed of a server, a terminal, and an emotion engine.

[0715] 1. Hardware and Software Configuration

[0716] server

[0717] The server is the central device that receives data from users and generates itineraries using natural language processing and sentiment analysis techniques. This server uses the following software and tools:

[0718] Natural Language Processing Technology: Apache OpenNLP or Google Cloud Natural Language API

[0719] Database management system: MySQL or PostgreSQL

[0720] Sentiment analysis technology: IBM Watson Tone Analyzer or Microsoft Azure Text Analytics

[0721] Terminal

[0722] The terminal is a device that allows users to input their travel preferences and receive notifications from the server. It can be a smartphone or PC. The terminal preferably includes the following software:

[0723] Input form: Web form or application form

[0724] Communication module: A module for sending HTTP requests

[0725] Emotion Engine

[0726] The emotion engine is a component that analyzes emotions from user input and travel data, enabling support based on the user's emotions.

[0727] 2. Data processing and calculation

[0728] Natural Language Processing

[0729] The server uses natural language processing technology to analyze the text data sent by the user. For example, if the user enters, "I'm stressed out from work, so I want to go somewhere where I can relax," the server analyzes this text and extracts the keywords "stress" and "place where I can relax."

[0730] Emotion analysis

[0731] The emotion engine identifies the user's emotional state from text data analyzed using natural language processing. For example, if the keyword "stress" is included, it will recognize that the user is feeling stressed.

[0732] Generate a travel plan

[0733] The server then searches for and generates relevant travel plans from a database based on the analysis results, generating multiple options such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0734] 3. Specific Examples

[0735] Example 1:

[0736] Input (user): "I'm stressed out at work, so I want to go somewhere to relax."

[0737] Processing (server): Analyze using natural language processing and extract "stress" and "relax" as keywords. Recognize the user's emotions (stress) using an emotion engine.

[0738] Output (server): Generates candidates such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0739] Output (terminal): Display candidate locations with the message "We suggest the following relaxing plans."

[0740] Example 2:

[0741] User Input: "The hot spring inn was very relaxing, but I was disappointed with the breakfast menu."

[0742] Processing (Server): Analyzes feedback data and identifies areas for improvement.

[0743] Output (terminal): Displays "Thank you for your feedback. We will consider improving our breakfast menu."

[0744] Prompt Sentence Examples

[0745] "Please suggest a relaxing trip. I'm stressed out from work, so I'd like to go somewhere where I can relax in nature."

[0746] "Please create a detailed travel plan including sightseeing around the hot spring inn. If possible, please also let me know the schedule."

[0747] As described above, this invention is a system that takes into account the user's wishes and emotional state, provides an appropriate travel plan, and provides real-time support, thereby increasing user satisfaction. Operation of this system improves the quality of travel and provides a more fulfilling user experience.

[0748] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0749] Step 1:

[0750] The user uses the terminal to input travel preferences.

[0751] Input: The user enters a specific request into a text form, such as "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[0752] How it works: When the user clicks the input button, the device temporarily stores this text data in its internal memory.

[0753] Output: Your wishes will be saved as text data on your device.

[0754] Step 2:

[0755] The terminal sends the input data to the server.

[0756] Input: The text data entered by the user in step 1.

[0757] How it works: The device sends this data to the server using an HTTP POST request, with the data encoded in JSON format.

[0758] Output: JSON format data arrives at the server.

[0759] Step 3:

[0760] The server analyzes the received data to understand the user's intentions and emotional state.

[0761] Input: The JSON formatted request sent from the terminal in step 2.

[0762] Operation:

[0763] The server first uses natural language processing technology (e.g., Apache OpenNLP) to analyze the text data and extract important keywords (e.g., "stress" and "relaxation").

[0764] Next, sentiment analysis technology (e.g., IBM Watson Tone Analyzer) is used to identify the emotional state of keywords and the text as a whole.

[0765] Output: Extracted keywords and sentiment analysis results.

[0766] Step 4:

[0767] The server generates a travel plan from the database.

[0768] Input: Keywords extracted in Step 3 ("stress" and "relax") and sentiment analysis results.

[0769] Operation:

[0770] The server queries a database (e.g., MySQL) to find suitable travel plans (e.g., "hot spring inns," "resorts rich in nature," "quiet beaches") based on past travel data and trend information.

[0771] Select and list several suitable plans.

[0772] Output: A list of selected itineraries.

[0773] Step 5:

[0774] The server transmits the generated plan to the terminal, which then presents it to the user.

[0775] Input: The list of itineraries generated in step 4.

[0776] Operation:

[0777] The server encodes this list in JSON format and sends it to the terminal.

[0778] The device analyzes the received data and displays the selected plan to the user along with the message, "We suggest the following relaxing plan."

[0779] Output: The proposed plan is displayed to the user.

[0780] Step 6:

[0781] The user selects the plan they want.

[0782] Input: The list of travel plans displayed on your device in step 5.

[0783] Operation: The user selects the desired plan from the presented plans (e.g., "hot spring inn") and clicks the selection button.

[0784] Output: The selected plan information is saved on the device.

[0785] Step 7:

[0786] The terminal sends the selection information to the server, which then creates a detailed travel plan.

[0787] Input: The plan information selected by the user in step 6.

[0788] Operation:

[0789] The terminal transmits information about the selected plan to the server.

[0790] The server uses the information submitted to create a detailed travel plan, including itinerary, accommodation, transportation, and tourist attractions.

[0791] For example, you could create a specific schedule such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and sightsee in the surrounding area on October 12th."

[0792] Output: Detailed travel planning information is generated.

[0793] Step 8:

[0794] The server sends a detailed travel plan to the terminal, which then notifies the user.

[0795] Input: Detailed travel planning information generated in step 7.

[0796] Operation:

[0797] The server sends a detailed travel plan in JSON format to the terminal.

[0798] The device analyzes this and displays a notification saying, "Arrived at the hot spring inn on October 10th, dinner at the restaurant in the evening. Please confirm."

[0799] Output: The user is notified of the detailed itinerary.

[0800] Step 9:

[0801] During the trip, the server tracks and assists the user's location and emotional state in real time.

[0802] Input: Location and emotional state data of the user during the trip.

[0803] Operation:

[0804] The terminal transmits the user's location information to the server at regular intervals.

[0805] The server tracks location information using Google Maps APIs and other tools, and uses an emotion engine to analyze the user's emotional state in real time.

[0806] If the user is feeling anxious, the system will suggest relaxing places and activities and notify the user via their device.

[0807] Output: Real-time guidance and assistance information is provided to the user.

[0808] Step 10:

[0809] After the trip is over, the terminal collects feedback from the user and sends it to the server.

[0810] Input: User feedback data after the trip is completed.

[0811] Operation:

[0812] After the trip, the terminal displays a feedback form, allowing the user to enter their impressions and opinions.

[0813] The terminal transmits this feedback data to the server.

[0814] Output: Feedback data arrives at the server.

[0815] Step 11:

[0816] The server analyzes the feedback and identifies areas for improvement in the system.

[0817] Input: Feedback data submitted in step 10.

[0818] Operation:

[0819] The server uses natural language processing technology to analyze the feedback data and identify user satisfaction and dissatisfaction.

[0820] This information is used to update the database and help improve the accuracy of the next plan generation.

[0821] Output: Improvements are identified and the system is updated.

[0822] (Application example 2)

[0823] 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."

[0824] Conventional travel planning systems generate travel plans without considering the user's emotional state, resulting in a lack of customization based on the user's emotions. Furthermore, they are unable to recommend content based on the user's real-time emotions, which can lead to a decrease in user satisfaction. Therefore, there is a need for a system that can recognize a user's emotions in real time and provide travel plans and content based on their emotions.

[0825] 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.

[0826] In this invention, the server includes a means for recognizing a user's emotions in real time and providing appropriate support based on the emotions, a means for recommending content based on the user's current emotional state, and a means for generating content according to the user's wishes using prompt sentences for the generative AI model. This enables customization based on the user's emotions and provides a higher level of satisfaction.

[0827] "Recognizing user emotions in real time" means analyzing the user's facial expressions and voice using a smartphone or other device to grasp their current emotional state in real time.

[0828] "Providing appropriate support based on emotions" means suggesting guidance and interpretation during travel, as well as activities that help with relaxation and stress relief, based on the user's recognized emotional state.

[0829] "Recommending content based on the user's current emotional state" means analyzing the user's emotions and providing the most appropriate content, such as movies, music, books, and articles, accordingly.

[0830] "Prompts for generative AI models" refer to instructions or questions that are displayed to AI models based on user input and emotional state, and are used to generate optimal content.

[0831] "Natural language processing" is a technology that analyzes text and speech input by users and understands their content, extracting keywords and analyzing their intent.

[0832] "Tracking location and schedule during travel" means monitoring the current location and planned schedule obtained from the user's device in real time and providing support as needed.

[0833] "Providing guidance and interpretation services" means providing information and language assistance that users need during their trip, helping them have a smooth travel experience.

[0834] "Collecting and analyzing feedback" means collecting data on opinions and impressions received from users after the trip and analyzing it to identify areas for improvement.

[0835] "Creating and notifying a detailed travel plan" means creating a plan including details such as specific dates, accommodation, and transportation based on the travel plan selected by the user, and notifying the user of the plan.

[0836] This invention is a system that allows users to plan trips and receive support based on their emotions. This system is composed of a server, a terminal, and an emotion engine, and enables users to easily plan trips and receive support based on their emotions. Specific embodiments for implementing the present invention are described below.

[0837] System Configuration

[0838] 1. User Input

[0839] The user uses the terminal to input their travel wishes, for example, a specific request such as "I want to go to a place where I can relax."

[0840] 2. Data Analysis

[0841] The device sends the user's input data to the server. The server uses natural language processing technology to analyze the input data and understand the user's intentions and wishes. The emotion engine also analyzes data such as voice and facial expressions to detect the user's current emotional state. This is achieved using the Python, OpenCV, dlib, and FER libraries.

[0842] 3. Generate a travel plan

[0843] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's preferences and emotional state. For example, it selects candidates such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[0844] 4. Presenting your travel plans

[0845] The generated travel plan is sent from the server to the terminal, which then presents it to the user, who then selects the desired plan from the displayed plans.

[0846] 5. Creating and notifying detailed travel plans

[0847] The device sends the user's selection to the server, which then creates a detailed travel plan based on the selected plan, including travel dates, accommodations, transportation options, tourist attractions, etc. The created plan is sent to the device and notified to the user.

[0848] 6. Travel support

[0849] After the trip begins, the server tracks the user's location and schedule in real time. The emotion engine also analyzes the user's emotions from their facial expressions and voice. Depending on the user's emotional state, the server provides guidance and interpretation services, and suggests relaxing places and activities.

[0850] 7. Feedback Collection and Analysis

[0851] After the trip, the device collects feedback from the user and sends it to the server, where the emotion engine also analyzes this feedback to identify areas for improvement.

[0852] Specific examples

[0853] For example, if a user inputs "I want to watch a relaxing movie" and emotion analysis identifies a strong emotion of "sadness," the server will recommend "relaxing comedy movies" or "moving, heartwarming drama movies."

[0854] Prompt Sentence Examples

[0855] The prompt sentence for the generative AI model is entered as follows:

[0856] Accept input from the user in the following form:

[0857] "I want to watch a movie. I feel like relaxing."

[0858] If emotion analysis strongly identifies "sadness,"

[0859] Please generate a reply in the following format:

[0860] "Recommended content: [Title 1], [Title 2], [Title 3]."

[0861] In this way, it becomes possible to recommend optimal content according to the user's feelings and desires.

[0862] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0863] Step 1:

[0864] The user uses the terminal to input travel preferences.

[0865] Input: User's travel wishes (e.g., "I want to go somewhere relaxing")

[0866] Output: The user's preferences are sent to the terminal.

[0867] Specific operation: The user enters their desired content in text into the app on their device and presses the send button.

[0868] Step 2:

[0869] The terminal transmits the user's input data to the server.

[0870] Input: Text data of desired items

[0871] Output: The request is sent to the server.

[0872] What it does: The device sends the entered preferences to the server as an HTTP request, and the data is packaged in JSON format.

[0873] Step 3:

[0874] The server analyzes the transmitted requests using natural language processing technology to understand the user's intentions and wishes.

[0875] Input: Text data of desired items

[0876] Output: Desire and intent parsed.

[0877] How it works: The server uses a Python natural language processing library (e.g., NLTK or spaCy) to analyze the received text data and extract keywords such as "relax" and "place."

[0878] Step 4:

[0879] The emotion engine analyzes data such as voice and facial expressions to detect the user's current emotional state.

[0880] Input: User voice and facial image data

[0881] Output: Emotional state (e.g. "sad" or "happy")

[0882] Specific operation: The device's camera and microphone are used to capture the user's facial expressions and voice, which are then sent to the server, where emotions are analyzed using libraries such as OpenCV and FER.

[0883] Step 5:

[0884] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's wishes and emotional state.

[0885] Input: Desired content, emotional state, past travel data, trend information

[0886] Output: Multiple travel plans (e.g. "hot spring inn", "resort rich in nature", "quiet beach")

[0887] What it does: The server runs a database query to find travel plans that match the criteria, and then uses a Python algorithm to generate the best plan.

[0888] Step 6:

[0889] The generated travel plan is sent from the server to the terminal, which then presents it to the user.

[0890] Input: Multiple itineraries

[0891] Output: The itinerary displayed to the user

[0892] Specific operation: The server converts the generated travel plan into JSON format and sends it to the device, which then visually displays the received plan to the user.

[0893] Step 7:

[0894] The user selects a desired plan from the presented travel plans.

[0895] Input: proposed travel plan

[0896] Output: Selected itinerary

[0897] Specific operation: The user taps to select the desired plan from the options on the screen and presses the confirmation button.

[0898] Step 8:

[0899] The terminal transmits the user's selections to the server, which creates a detailed travel plan based on the selected plan.

[0900] Input: Selected travel plan

[0901] Output: A detailed itinerary

[0902] Specific operation: The device sends the selected plan back to the server, and the server adds accommodation and transportation options to refine the plan.

[0903] Step 9:

[0904] The created detailed travel plan is sent to the terminal and notified to the user.

[0905] Input: Detailed travel plan

[0906] Output: Travel plan notified to user

[0907] Specific operation: The server sends a detailed plan in JSON format to the terminal, and the terminal notifies the user.

[0908] Step 10:

[0909] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes their emotions.

[0910] Input: Location, schedule, emotional data

[0911] Output: Appropriate support suggestions

[0912] How it works: The device continuously transmits the user's location information to the server, and simultaneously analyzes their emotions. Based on this information, the server then suggests places to relax and activities to refresh them.

[0913] Step 11:

[0914] After the trip is completed, the terminal collects feedback from the user and sends it to the server.

[0915] Input: User feedback

[0916] Output: Feedback data

[0917] Specific operation: The user inputs feedback on the screen of the device and presses the send button, which then sends it to the server.

[0918] Step 12:

[0919] The server analyzes the feedback and uses an emotion engine to identify areas for improvement.

[0920] Input: Feedback data

[0921] Output: Identification of areas for improvement

[0922] Specific operation: The server analyzes the feedback data and uses an emotion engine to extract problems and areas for improvement based on the user's emotional state.

[0923] 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.

[0924] 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.

[0925] 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.

[0926] [Third embodiment]

[0927] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0928] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0929] 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).

[0930] 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.

[0931] 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.

[0932] 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).

[0933] 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.

[0934] 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.

[0935] 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.

[0936] 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.

[0937] 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.

[0938] 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."

[0939] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides a more detailed travel plan. The system consists of a server and a terminal, allowing users to easily plan their trip and receive support during the trip.

[0940] The program of this system operates as follows.

[0941] First, the user uses a terminal to input their travel wishes, for example, inputting a specific request such as "I want to go somewhere cool during summer vacation."

[0942] The terminal then sends these requests to the server, which then analyzes the received requests using natural language processing technology to understand the user's intentions.

[0943] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's preferences. For example, it selects candidate destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge."

[0944] The generated travel plan is sent from the server to the terminal, which then presents it to the user. The user can select the plan that best suits them from the presented travel plans. For example, if the user selects "Hokkaido," they perform an operation on the terminal to confirm their selection.

[0945] Based on the selected travel plan, the server creates a detailed travel plan, including travel dates, accommodation, transportation, tourist spots, etc. For example, a schedule such as "arrive at New Chitose Airport on August 10th, tour Sapporo on August 11th, and tour Otaru on August 12th" may be created.

[0946] The server then sends the detailed travel plan back to the terminal, which then notifies the user. The user then checks the plan and, if further changes or adjustments are required, requests the server via the terminal.

[0947] Once the trip begins, the server tracks the user's location and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server can analyze the nearest landmarks and directions and provide them to the user via the device.

[0948] After the trip is over, the device collects feedback from the user and sends it to the server. The server analyzes this feedback and uses it to improve the service. For example, a user might enter feedback such as, "The guide to Sapporo was good, but the hotel check-in process was not smooth."

[0949] This system allows users to easily create ideal travel plans and receive various support during their trip. It also enables companies to improve operational efficiency and increase customer satisfaction, and by providing this system to external companies, it is expected that they will be able to expand their business.

[0950] The processing flow will be explained below.

[0951] Step 1:

[0952] The user uses the terminal to input travel wishes, for example, a specific request such as "I want to go somewhere cool during summer vacation."

[0953] Step 2:

[0954] The device receives the user's input data and sends it to the server. The data includes keywords such as "summer vacation" and "cool place."

[0955] Step 3:

[0956] The server analyzes the received requests using natural language processing technology to understand the user's intentions. Here, the server recognizes that the requests are "summer vacation" and "a cool place."

[0957] Step 4:

[0958] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's preferences. For example, it selects candidate destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge."

[0959] Step 5:

[0960] The generated travel plan is sent from the server to the terminal. The terminal presents it to the user. The user is presented with a list of options, with the message "We propose the following plans."

[0961] Step 6:

[0962] The user selects the desired plan from the presented travel plans. For example, the user selects "Hokkaido."

[0963] Step 7:

[0964] The terminal transmits the user's selection to the server, which creates a detailed travel plan based on the selected plan.

[0965] Step 8:

[0966] The server creates a detailed travel plan, including travel dates, accommodation, transportation, tourist attractions, etc. For example, a schedule such as "arrive at New Chitose Airport on August 10th, visit Sapporo on August 11th, and visit Otaru on August 12th" may be created.

[0967] Step 9:

[0968] The detailed travel plan created is sent from the server to the device, which notifies the user and displays, "Arriving at New Chitose Airport on August 10th, checking into Hotel X in the evening. Please confirm."

[0969] Step 10:

[0970] Once the trip begins, the server tracks the user's location and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server analyzes the user's location and sends the nearest landmarks and directions to the device.

[0971] Step 11:

[0972] The device provides guidance and interpretation information to the user based on instructions from the server. For example, it displays to the user, "The nearest station is a five-minute walk away."

[0973] Step 12:

[0974] After the trip, the device collects feedback from the user, displaying a survey asking, "How satisfied were you with your trip?"

[0975] Step 13:

[0976] The user enters and submits their feedback. For example, they might enter, "The information about Sapporo city was very good, but the hotel check-in process was not smooth."

[0977] Step 14:

[0978] The server analyzes the collected feedback and uses it to improve the service, for example, by identifying areas for improvement in the hotel reservation system based on the feedback and incorporating them into the next service.

[0979] Example 1

[0980] 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."

[0981] Conventional travel planning systems place a heavy burden on users to research information and make plans themselves, and lack functionality for real-time support during the trip and feedback collection, making it difficult to provide a high-quality travel experience. This has led to the issue of not being able to sufficiently increase user satisfaction. In particular, it has been difficult to accurately analyze users' requests and provide optimal travel plans based on them.

[0982] 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.

[0983] In this invention, the server includes: means for accepting travel requests from a user; natural language processing means for analyzing the accepted requests; means for generating multiple itineraries based on the analysis results of the natural language processing; means for presenting the generated itineraries to the user; means for creating a detailed itinerary based on a plan selected by the user from the presented itineraries; means for notifying the user of the created detailed itinerary; means for tracking the user's location information and schedule in real time during the trip; means for analyzing the location information in real time to provide the nearest landmarks and routes; means for providing guidance and interpretation services during the trip; means for collecting feedback from the user after the trip and analyzing the collected feedback; means for generating an itinerary based on the user's requests using a generative AI model; and means for inputting prompt sentences into the generative AI model to generate the itinerary. This allows for efficient provision of an optimal itinerary based on the user's requests, real-time support during the trip, and a highly satisfying travel experience.

[0984] "User" means an individual or entity that uses the System to plan, book, or receive assistance with travel.

[0985] "Desires" is information indicating the conditions and requests the user has regarding the trip.

[0986] "Natural language processing means" is a system that uses technology to analyze the requests entered by the user and understand their contents.

[0987] A "travel plan" is a collection of multiple travel courses and schedules proposed based on the user's wishes.

[0988] A "detailed travel plan" is a plan that includes specific itineraries, accommodations, transportation, tourist attractions, etc. according to the selected travel plan.

[0989] "Real-time tracking means" refers to technologies and functions that allow users to instantly know their current location and schedule while traveling.

[0990] A "landmark" is a building or facility that serves as a landmark near the user's current location.

[0991] "Guidance and interpretation services" refers to supplementary support that allows users to obtain information during their travels and communicate across language barriers.

[0992] "Feedback" refers to information such as opinions, impressions, and areas for improvement provided by users after completing their trip.

[0993] A "generative AI model" is a model that uses artificial intelligence technology to generate optimal travel plans based on the user's preferences.

[0994] A "prompt sentence" is an input sentence used to prompt a generative AI model to suggest an appropriate travel plan.

[0995] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides detailed travel plans. The system consists of a server and a terminal, and allows users to easily plan their trip and receive support during the trip.

[0996] Users input their travel preferences using a dedicated application on their smartphone or tablet. For example, they might enter a specific request, such as "I want to go somewhere cool during my summer vacation." The device converts the user's preferences into JSON or XML format and sends it to a server via an internet connection.

[0997] The server uses a server application such as Python or Apache to analyze the received requests using natural language processing technology (e.g., Google Cloud Natural Language API). Based on the analysis results, it understands the user's intent and identifies the travel theme and destination. For example, it extracts keywords such as "family trip," "cool places," and "kids' activities."

[0998] The server references past travel data and trend information from a database system (e.g., MySQL or PostgreSQL) to generate multiple travel plans that match the user's preferences. A generative AI model (e.g., GPT-3.5) is used to generate the plans, and appropriate suggestions are made using prompts. Examples of prompts include, "Please tell me some cool places to enjoy on a family trip. Please suggest places with activities that children can enjoy."

[0999] The generated travel plans are sent from the server to the terminal, which then presents the plans to the user in a visually easy-to-understand format. For example, it displays a detailed overview of each plan, images, and the attractions of the travel destinations. The user selects the plan that best suits them from the presented travel plans and confirms their selection.

[1000] The server creates a detailed travel plan based on the selected travel plan. This plan includes travel dates, accommodations, transportation, tourist spots, etc. Specifically, a schedule such as "arrive at New Chitose Airport on August 10th, tour Sapporo on August 11th, and tour Otaru on August 12th" may be created.

[1001] The detailed travel plan is sent from the server to the device, and the device provides the user with detailed information by sending a notification. The user can check the notification and further adjust the plan if necessary. After the trip begins, the server tracks the user's location information (GPS data) and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server can provide the nearest landmarks and route information in real time.

[1002] After the trip is over, the device collects feedback from the user and sends this information to the server. The server analyzes the feedback and uses it to improve the service. An example of specific feedback is the comment, "The information about Sapporo city was good, but the hotel check-in process was not smooth."

[1003] This invention allows users to easily create ideal travel plans and receive various support services while traveling. It also allows companies to improve operational efficiency and customer satisfaction, and the provision of this system is expected to lead to business expansion.

[1004] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1005] Step 1:

[1006] Users use a smartphone or tablet application to input their travel preferences, such as "I want to go somewhere cool during summer vacation."

[1007] Input: User's wishes (text format)

[1008] Output: Text format of desired items

[1009] Step 2:

[1010] The terminal transmits the user's input preferences to a server via the Internet, converting them into JSON or XML format before transmitting.

[1011] Input: Text format desired data

[1012] Output: Preference data in JSON or XML format

[1013] Step 3:

[1014] The server analyzes the received requests using natural language processing technology. Specifically, it uses Google Cloud Natural Language API and other tools to extract keywords and phrases to understand the user's intent. For example, it extracts keywords such as "family trip," "cool places," and "kids' activities."

[1015] Input: JSON or XML formatted data

[1016] Output: Parsed keywords and phrases

[1017] Step 4:

[1018] The server references past travel data and trend information from the database and generates multiple travel plans based on the analyzed keywords. In this process, it uses a generative AI model (e.g., GPT-3.5) and prompts to generate appropriate travel plans.

[1019] Input: Parsed keywords and phrases

[1020] Example prompt: "Tell me some cool places to go on a family trip. Suggest some places with activities that kids can enjoy."

[1021] Output: Multiple travel plans (text format)

[1022] Step 5:

[1023] The server sends the generated itineraries to the terminal, which then visually presents the received itineraries to the user, displaying an overview of each itinerary, images, and details about the attractions of the travel destinations.

[1024] Input: Multiple travel plans (text format)

[1025] Output: A travel plan that is visually displayed to the user

[1026] Step 6:

[1027] The user selects the most suitable plan from the presented travel plans. When selecting, the user performs operations such as tapping or clicking. For example, to select "Hokkaido," the user presses the selection button for the corresponding plan to confirm.

[1028] Input: User selection of plan

[1029] Output: Selected itinerary

[1030] Step 7:

[1031] The server creates a detailed travel plan based on the selected travel plan. This plan includes specific details such as travel dates, accommodations, transportation, and tourist spots. For example, a schedule such as "arrive at New Chitose Airport on August 10, visit Sapporo on August 11, and visit Otaru on August 12" may be created.

[1032] Input: Selected travel plan

[1033] Output: Detailed travel plan (text format)

[1034] Step 8:

[1035] The server sends the created detailed travel plan to the terminal, which notifies the user of the received plan and displays detailed information about the schedule and accommodations.

[1036] Input: Detailed travel plan (text format)

[1037] Output: A detailed travel plan that is communicated to the user

[1038] Step 9:

[1039] After the user starts their trip, the server tracks their location (GPS data) and schedule in real time. It also provides guidance and interpretation services as needed. For example, if the user gets lost, it provides real-time information on the nearest landmarks and routes.

[1040] Input: User location information (GPS data), schedule information

[1041] Output: Real-time guidance and interpretation services

[1042] Step 10:

[1043] After the trip is over, the device collects feedback from the user. The user enters their experience during the trip and areas for improvement within the application. Specifically, they may enter feedback such as, "The guidance around Sapporo was good, but the hotel check-in process was not smooth." The server analyzes this feedback and uses it to improve the service.

[1044] Input: User feedback

[1045] Output: Parsed feedback data

[1046] (Application example 1)

[1047] 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."

[1048] Conventional travel planning systems do not provide support for users during the trip or collect feedback after the trip. They also lack functionality to meet diverse needs, such as suggesting the best restaurants and delivery options based on meal preferences. Therefore, more advanced support systems are needed to improve the quality of the user experience.

[1049] 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.

[1050] In this invention, the server includes means for accepting travel preferences from a user, means for generating multiple travel plans based on the accepted preferences, means for presenting the generated travel plans to the user, means for creating a detailed travel plan based on a plan selected by the user from the presented travel plans, means for notifying the user of the created detailed travel plan, means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services, means for collecting and analyzing feedback from the user after the trip ends, means for accepting meal preferences from the user, suggesting optimal restaurants and delivery options based on the information, and providing a detailed ordering plan, and means for tracking the progress of orders in real time and providing necessary notification services. This enables users to receive optimal support that meets their diverse needs, including during their trip.

[1051] A "user" is a person who uses the system to receive travel plans and meal suggestions.

[1052] "Travel wishes" refers to travel requests and conditions that a user inputs into the system.

[1053] "Multiple travel plans" refers to multiple different travel itineraries generated based on the user's travel preferences.

[1054] A "detailed travel plan" is a specific travel itinerary, accommodation, transportation, tourist spots, etc., created based on the selected travel plan.

[1055] "Location information" refers to data about a user's current location.

[1056] A "schedule" is the time and content of activities and travel planned by the user.

[1057] "Guidance" refers to direction and location information provided to the user.

[1058] "Interpretation services" means services that assist in communication between different languages.

[1059] "Feedback" refers to opinions and impressions that users provide to the system after using it.

[1060] "Dietary preferences" refer to dietary requests and requirements that a user inputs into the system.

[1061] A "restaurant" is a restaurant where users can eat.

[1062] "Delivery option" is a service that allows users to order the meal they want and have it delivered to their home or a specified location.

[1063] An "order plan" is a specific order content, delivery time, price, etc. that is created based on the menu selected by the user.

[1064] "Notification Service" is a feature that provides users with real-time information about the progress of their orders and trips.

[1065] This invention involves a system that accepts travel and dining preferences from users and, based on that information, suggests optimal travel plans and dining options. The system is comprised of a server and terminals and operates as follows:

[1066] First, the user inputs their travel and dining preferences using a device (smartphone or tablet). For example, the user might input, "I want to go somewhere cool during my summer vacation" or "I want to eat a healthy dinner tonight."

[1067] The device sends these requests to the server, which then uses natural language processing technology to analyze the user's requests. For example, it uses a Python-based NLP engine (spaCy or NLTK) to understand the user's intent.

[1068] Based on the analysis results, the server references past data and trend information from a database (e.g., PostgreSQL or MySQL) to generate multiple travel plans and dining options that match the user's preferences. The generated options are sent to the terminal and presented to the user. For example, they include travel destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge," as well as dining options such as "salad specialty restaurants," "healthy bowls," and "low-calorie restaurants."

[1069] The user selects the most appropriate option from the options presented. For example, if the user selects "Hokkaido" or "Specialty salad bowl from a salad specialty store," the user confirms the selection on the terminal.

[1070] Based on the selected options, the server creates a detailed travel plan or ordering plan, including travel dates, accommodation, transportation, sightseeing spots, order contents, delivery time, and cost. For example, a schedule such as "Arriving at New Chitose Airport on August 10th" and "Ordering a special salad bowl from a salad specialty store for dinner" may be created.

[1071] The detailed plans and schedules created are then sent back to the terminal from the server and notified to the user. The user then checks the plans and, if further changes or adjustments are required, requests are made to the server via the terminal.

[1072] After the trip begins and while the order is in progress, the server tracks the user's location and schedule in real time and provides guidance and notification services as needed. For example, real-time communication (WebSocket and Firebase) using Google Cloud Platform (GCP) or Amazon Web Services (AWS) is used. If the user gets lost, the nearest landmarks and directions can be provided via the device, and the order status can be tracked in real time.

[1073] After the trip or order is completed, the terminal collects feedback from the user and sends it to the server, which analyzes the feedback and uses it to improve the system's services.

[1074] As a concrete example, a user might enter the following prompt sentence:

[1075] "I want to eat a healthy dinner tonight. Can you recommend a restaurant and what's on the menu right now?"

[1076] In this way, users can easily plan trips and meals and receive support during their trips and meal preparations, while businesses can improve service efficiency and increase customer satisfaction.

[1077] The above is an embodiment of the present invention.

[1078] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1079] Step 1:

[1080] The user uses the device to input travel and dining preferences. For example, they might input "I want to go somewhere cool during my summer vacation" or "I want to eat a healthy dinner tonight." The input content is stored on the device as text data.

[1081] Step 2:

[1082] The device sends the user's input data to the server. Specifically, the data is sent using an HTTP request. The server receives the input data via an API.

[1083] Step 3:

[1084] The server analyzes the received input data using natural language processing technology, such as a Python NLP engine (spaCy or NLTK) to understand the user's intent. The analysis results are output as structured data that represents the user's wishes.

[1085] Step 4:

[1086] Based on the analysis results, the server retrieves relevant information from a database (PostgreSQL or MySQL) and generates multiple travel plans and dining options that match the user's preferences. Specifically, it executes SQL queries to reference past travel data and trend information. The generated options are then compiled into multiple choices.

[1087] Step 5:

[1088] The generated travel plans and meal options are sent from the server to the device using HTTP responses. The device receives the data and presents it to the user.

[1089] Step 6:

[1090] The user selects the option that best suits them from the options presented on the device, and the selection is saved as text data on the device.

[1091] Step 7:

[1092] The user's selection is sent back to the server from the device. Specifically, the selected data is sent using an HTTP request. The server receives the data via an API.

[1093] Step 8:

[1094] The server creates a detailed travel and ordering plan based on the selected options. Specifically, it uses scheduling and pricing algorithms to generate a detailed plan including travel itinerary, accommodation, transportation, tourist attractions, order contents, delivery time, and price. The generated plan is output as structured data.

[1095] Step 9:

[1096] The detailed plans and plans created are sent back to the device from the server and notified to the user. Specifically, the data is sent using an HTTP response, which the device displays as a notification.

[1097] Step 10:

[1098] After the trip starts and while the order is in progress, the server tracks the user's location and schedule in real time and provides guidance and notification services as needed, using real-time communication technologies such as WebSocket and Firebase, to provide the nearest landmarks, directions, and order status tracking information based on the user's location.

[1099] Step 11:

[1100] After the trip or order is completed, the terminal collects feedback from the user and sends it to the server. Specifically, the feedback input form collects the user's opinions and thoughts as text data and sends it to the server via an HTTP request. The server receives the data via API, analyzes it, and uses it to improve the service.

[1101] 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.

[1102] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides a detailed travel plan. It also recognizes the user's emotions in real time and provides emotional support. The system consists of a server, a terminal, and an emotion engine. It enables users to easily plan their trip and receive emotional support.

[1103] The program of this system operates as follows.

[1104] First, the user uses a terminal to input their travel wishes, for example, "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[1105] Next, the device sends the user's input data to the server, which includes keywords such as "stress" and "places where you can relax."

[1106] The server uses natural language processing technology to analyze the received requests and understand the user's intentions. The emotion engine also analyzes the user's emotions and takes into account their current emotional state. For example, it can recognize that the user is seeking "relief from stress" and "relaxation."

[1107] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's desires and emotions. For example, it selects candidate locations such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1108] The generated travel plan is sent from the server to the terminal, which then presents it to the user. The user is given a choice of options, with the message "We suggest the following relaxing plans."

[1109] The user selects the desired plan from the presented travel plans. For example, the user selects "hot spring inn."

[1110] The terminal transmits the user's selections to the server, which creates a detailed travel plan based on the selected plan.

[1111] The server creates a detailed travel plan, including travel dates, accommodations, transportation, tourist spots, etc. For example, a schedule might be created such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and do sightseeing in the surrounding area on October 12th."

[1112] The detailed travel plan is sent from the server to the device, and the device notifies the user, displaying the message "Arrive at the hot spring inn on October 10th, and have dinner at the restaurant in the evening. Please confirm."

[1113] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes the user's emotions from facial expressions and voice. Depending on the user's emotional state, guidance and interpretation services are provided. For example, if the user is feeling anxious, the server will suggest relaxing places and activities and notify the user via their device.

[1114] After the trip is over, the device collects feedback from the user and sends it to the server. The emotion engine also analyzes this feedback and identifies areas for improvement based on the user's emotions. For example, a user might enter feedback such as, "The hot spring inn was very relaxing, but I was dissatisfied with the breakfast menu."

[1115] This system allows users to easily create ideal travel plans and receive support that takes their emotional state into consideration, allowing them to enjoy a more satisfying trip. It also enables companies to improve operational efficiency and increase customer satisfaction, and by providing systems that include the emotion engine to external companies, it is expected that they will be able to expand their business.

[1116] The processing flow will be explained below.

[1117] Step 1:

[1118] The user uses the terminal to input their travel wishes, for example, "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[1119] Step 2:

[1120] The device sends the user's input data to the emotion engine, which then analyzes the user's facial expressions and voice. For example, it can recognize that the user is under a high level of stress based on the text posted or the user's facial expression.

[1121] Step 3:

[1122] The device combines the user's input data with the analysis results of the emotion engine and sends the combined data to the server. The transmitted data includes keywords such as "stress" and "places where you can relax" as well as emotion data.

[1123] Step 4:

[1124] The server uses natural language processing technology to analyze the user's wishes and emotional data and understands their intentions. The server recognizes that the user's wishes are "summer vacation" and "a cool place," and that the user is feeling highly stressed.

[1125] Step 5:

[1126] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's desires and emotions. For example, it selects candidate locations such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1127] Step 6:

[1128] The generated travel plan is sent from the server to the device, which then presents it to the user, displaying the message "We suggest the following relaxing plan."

[1129] Step 7:

[1130] The user selects the desired plan from the presented travel plans. For example, the user selects "hot spring inn."

[1131] Step 8:

[1132] The terminal transmits the user's selection to the server, which creates a detailed travel plan based on the selected plan.

[1133] Step 9:

[1134] The server creates a detailed travel plan, including travel dates, accommodations, transportation, tourist spots, etc. For example, a schedule might be created such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and do sightseeing in the surrounding area on October 12th."

[1135] Step 10:

[1136] The detailed travel plan is sent from the server to the device, and the device notifies the user, displaying the message "Arrive at the hot spring inn on October 10th, and have dinner at the restaurant in the evening. Please confirm."

[1137] Step 11:

[1138] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes the user's emotions from facial expressions, voice, etc.

[1139] Step 12:

[1140] The server provides guidance and interpretation services according to the user's emotional state. For example, if the user is feeling anxious, the server will suggest places and activities to relax and notify the user via the device.

[1141] Step 13:

[1142] The terminal provides guidance and interpretation information to the user based on instructions from the server. For example, it displays to the user, "This is the relaxation spot in the hot spring town."

[1143] Step 14:

[1144] After the trip, the device collects feedback from the user by displaying a questionnaire asking, "How satisfied were you with your trip?"

[1145] Step 15:

[1146] The user enters and submits their feedback. For example, they might enter, "The hot spring inn was very relaxing, but I was dissatisfied with the breakfast menu."

[1147] Step 16:

[1148] The server analyzes the collected feedback and uses it to improve services. The emotion engine also analyzes this feedback and identifies areas for improvement based on user emotions. For example, it can identify areas for improvement in hotel services and menus based on feedback and incorporate them into the next service.

[1149] Example 2

[1150] 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."

[1151] Conventional travel planning systems provided travel plans without considering the user's emotional state, making it difficult to maximize user satisfaction. Furthermore, they lacked real-time support during the trip and were unable to quickly respond to the anxiety and stress users felt during their trip. This resulted in a poor user experience and impacted the quality of the trip.

[1152] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for accepting travel requests from a user, means for generating multiple travel plans based on the accepted requests, means for presenting the generated travel plans to the user, means for creating a detailed travel plan based on a plan selected by the user from the presented travel plans, means for notifying the user of the created detailed travel plan, means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services, means for collecting and analyzing feedback from the user after the trip ends, and means for analyzing the user's emotions in real time and providing support based on the emotions. This makes it possible to provide appropriate support in real time, taking into account the user's emotional state.

[1153] "User" refers to a person who uses the system to input travel preferences and receive provided travel plans and detailed travel itineraries.

[1154] "Server" refers to the central computing device that analyzes data received from users, generates travel plans, creates detailed itineraries, and provides real-time assistance.

[1155] "Terminal" refers to the device (smartphone, PC, etc.) on which the user enters data and receives notifications from the server.

[1156] "Travel wishes" refers to the specific conditions and requests (for example, "a place where I can relax" or "stress relief") that the user desires for the trip he or she plans.

[1157] "Multiple travel plans" refers to multiple travel options (for example, "hot spring inn," "resort rich in nature," "quiet beach," etc.) that are generated based on the user's preferences and proposed to the user.

[1158] A "detailed travel plan" refers to a specific schedule or itinerary (e.g., dates, accommodations, transportation, tourist spots, etc.) created based on a travel plan selected by the user.

[1159] "Natural language processing" refers to the technology of analyzing received text data and understanding its meaning and intent.

[1160] "Emotion analysis technology" refers to technology that analyzes the user's input data, facial expressions, voice, etc. while traveling to recognize the user's emotional state.

[1161] "Location information" refers to geographical location data of the user's current location.

[1162] "Real-time tracking" refers to the continuous monitoring of a user's location and emotional state, and the immediate reflection of that information.

[1163] "Feedback" refers to opinions and impressions regarding the experience and satisfaction provided by the user after the trip is completed.

[1164] "Assistance" refers to advice and assistance (e.g., guidance and interpretation services) provided based on the user's emotional state and travel situation.

[1165] To implement this invention, the system uses the following hardware and software configuration: The system is mainly composed of a server, a terminal, and an emotion engine.

[1166] 1. Hardware and Software Configuration

[1167] server

[1168] The server is the central device that receives data from users and generates itineraries using natural language processing and sentiment analysis techniques. This server uses the following software and tools:

[1169] Natural Language Processing Technology: Apache OpenNLP or Google Cloud Natural Language API

[1170] Database management system: MySQL or PostgreSQL

[1171] Sentiment analysis technology: IBM Watson Tone Analyzer or Microsoft Azure Text Analytics

[1172] Terminal

[1173] The terminal is a device that allows users to input their travel preferences and receive notifications from the server. It can be a smartphone or PC. The terminal preferably includes the following software:

[1174] Input form: Web form or application form

[1175] Communication module: A module for sending HTTP requests

[1176] Emotion Engine

[1177] The emotion engine is a component that analyzes emotions from user input and travel data, enabling support based on the user's emotions.

[1178] 2. Data processing and calculation

[1179] Natural Language Processing

[1180] The server uses natural language processing technology to analyze the text data sent by the user. For example, if the user enters, "I'm stressed out from work, so I want to go somewhere where I can relax," the server analyzes this text and extracts the keywords "stress" and "place where I can relax."

[1181] Emotion analysis

[1182] The emotion engine identifies the user's emotional state from text data analyzed using natural language processing. For example, if the keyword "stress" is included, it will recognize that the user is feeling stressed.

[1183] Generate a travel plan

[1184] The server then searches for and generates relevant travel plans from a database based on the analysis results, generating multiple options such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1185] 3. Specific Examples

[1186] Example 1:

[1187] Input (user): "I'm stressed out at work, so I want to go somewhere to relax."

[1188] Processing (server): Analyze using natural language processing and extract "stress" and "relax" as keywords. Recognize the user's emotions (stress) using an emotion engine.

[1189] Output (server): Generates candidates such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1190] Output (terminal): Display candidate locations with the message "We suggest the following relaxing plans."

[1191] Example 2:

[1192] User Input: "The hot spring inn was very relaxing, but I was disappointed with the breakfast menu."

[1193] Processing (Server): Analyzes feedback data and identifies areas for improvement.

[1194] Output (terminal): Displays "Thank you for your feedback. We will consider improving our breakfast menu."

[1195] Prompt Sentence Examples

[1196] "Please suggest a relaxing trip. I'm stressed out from work, so I'd like to go somewhere where I can relax in nature."

[1197] "Please create a detailed travel plan including sightseeing around the hot spring inn. If possible, please also let me know the schedule."

[1198] As described above, this invention is a system that takes into account the user's wishes and emotional state, provides an appropriate travel plan, and provides real-time support, thereby increasing user satisfaction. Operation of this system improves the quality of travel and provides a more fulfilling user experience.

[1199] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1200] Step 1:

[1201] The user uses the terminal to input travel preferences.

[1202] Input: The user enters a specific request into a text form, such as "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[1203] How it works: When the user clicks the input button, the device temporarily stores this text data in its internal memory.

[1204] Output: Your wishes will be saved as text data on your device.

[1205] Step 2:

[1206] The terminal sends the input data to the server.

[1207] Input: The text data entered by the user in step 1.

[1208] How it works: The device sends this data to the server using an HTTP POST request, with the data encoded in JSON format.

[1209] Output: JSON format data arrives at the server.

[1210] Step 3:

[1211] The server analyzes the received data to understand the user's intentions and emotional state.

[1212] Input: The JSON formatted request sent from the terminal in step 2.

[1213] Operation:

[1214] The server first uses natural language processing technology (e.g., Apache OpenNLP) to analyze the text data and extract important keywords (e.g., "stress" and "relaxation").

[1215] Next, sentiment analysis technology (e.g., IBM Watson Tone Analyzer) is used to identify the emotional state of keywords and the text as a whole.

[1216] Output: Extracted keywords and sentiment analysis results.

[1217] Step 4:

[1218] The server generates a travel plan from the database.

[1219] Input: Keywords extracted in Step 3 ("stress" and "relax") and sentiment analysis results.

[1220] Operation:

[1221] The server queries a database (e.g., MySQL) to find suitable travel plans (e.g., "hot spring inns," "resorts rich in nature," "quiet beaches") based on past travel data and trend information.

[1222] Select and list several suitable plans.

[1223] Output: A list of selected itineraries.

[1224] Step 5:

[1225] The server transmits the generated plan to the terminal, which then presents it to the user.

[1226] Input: The list of itineraries generated in step 4.

[1227] Operation:

[1228] The server encodes this list in JSON format and sends it to the terminal.

[1229] The device analyzes the received data and displays the selected plan to the user along with the message, "We suggest the following relaxing plan."

[1230] Output: The proposed plan is displayed to the user.

[1231] Step 6:

[1232] The user selects the plan they want.

[1233] Input: The list of travel plans displayed on your device in step 5.

[1234] Operation: The user selects the desired plan from the presented plans (e.g., "hot spring inn") and clicks the selection button.

[1235] Output: The selected plan information is saved on the device.

[1236] Step 7:

[1237] The terminal sends the selection information to the server, which then creates a detailed travel plan.

[1238] Input: The plan information selected by the user in step 6.

[1239] Operation:

[1240] The terminal transmits information about the selected plan to the server.

[1241] The server uses the information submitted to create a detailed travel plan, including itinerary, accommodation, transportation, and tourist attractions.

[1242] For example, you could create a specific schedule such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and sightsee in the surrounding area on October 12th."

[1243] Output: Detailed travel planning information is generated.

[1244] Step 8:

[1245] The server sends a detailed travel plan to the terminal, which then notifies the user.

[1246] Input: Detailed travel planning information generated in step 7.

[1247] Operation:

[1248] The server sends a detailed travel plan in JSON format to the terminal.

[1249] The device analyzes this and displays a notification saying, "Arrived at the hot spring inn on October 10th, dinner at the restaurant in the evening. Please confirm."

[1250] Output: The user is notified of the detailed itinerary.

[1251] Step 9:

[1252] During the trip, the server tracks and assists the user's location and emotional state in real time.

[1253] Input: Location and emotional state data of the user during the trip.

[1254] Operation:

[1255] The terminal transmits the user's location information to the server at regular intervals.

[1256] The server tracks location information using Google Maps APIs and other tools, and uses an emotion engine to analyze the user's emotional state in real time.

[1257] If the user is feeling anxious, the system will suggest relaxing places and activities and notify the user via their device.

[1258] Output: Real-time guidance and assistance information is provided to the user.

[1259] Step 10:

[1260] After the trip is over, the terminal collects feedback from the user and sends it to the server.

[1261] Input: User feedback data after the trip is completed.

[1262] Operation:

[1263] After the trip, the terminal displays a feedback form, allowing the user to enter their impressions and opinions.

[1264] The terminal transmits this feedback data to the server.

[1265] Output: Feedback data arrives at the server.

[1266] Step 11:

[1267] The server analyzes the feedback and identifies areas for improvement in the system.

[1268] Input: Feedback data submitted in step 10.

[1269] Operation:

[1270] The server uses natural language processing technology to analyze the feedback data and identify user satisfaction and dissatisfaction.

[1271] This information is used to update the database and help improve the accuracy of the next plan generation.

[1272] Output: Improvements are identified and the system is updated.

[1273] (Application example 2)

[1274] 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."

[1275] Conventional travel planning systems generate travel plans without considering the user's emotional state, resulting in a lack of customization based on the user's emotions. Furthermore, they are unable to recommend content based on the user's real-time emotions, which can lead to a decrease in user satisfaction. Therefore, there is a need for a system that can recognize a user's emotions in real time and provide travel plans and content based on their emotions.

[1276] 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.

[1277] In this invention, the server includes a means for recognizing a user's emotions in real time and providing appropriate support based on the emotions, a means for recommending content based on the user's current emotional state, and a means for generating content according to the user's wishes using prompt sentences for the generative AI model. This enables customization based on the user's emotions and provides a higher level of satisfaction.

[1278] "Recognizing user emotions in real time" means analyzing the user's facial expressions and voice using a smartphone or other device to grasp their current emotional state in real time.

[1279] "Providing appropriate support based on emotions" means suggesting guidance and interpretation during travel, as well as activities that help with relaxation and stress relief, based on the user's recognized emotional state.

[1280] "Recommending content based on the user's current emotional state" means analyzing the user's emotions and providing the most appropriate content, such as movies, music, books, and articles, accordingly.

[1281] "Prompts for generative AI models" refer to instructions or questions that are displayed to AI models based on user input and emotional state, and are used to generate optimal content.

[1282] "Natural language processing" is a technology that analyzes text and speech input by users and understands their content, extracting keywords and analyzing their intent.

[1283] "Tracking location and schedule during travel" means monitoring the current location and planned schedule obtained from the user's device in real time and providing support as needed.

[1284] "Providing guidance and interpretation services" means providing information and language assistance that users need during their trip, helping them have a smooth travel experience.

[1285] "Collecting and analyzing feedback" means collecting data on opinions and impressions received from users after the trip and analyzing it to identify areas for improvement.

[1286] "Creating and notifying a detailed travel plan" means creating a plan including details such as specific dates, accommodation, and transportation based on the travel plan selected by the user, and notifying the user of the plan.

[1287] This invention is a system that allows users to plan trips and receive support based on their emotions. This system is composed of a server, a terminal, and an emotion engine, and enables users to easily plan trips and receive support based on their emotions. Specific embodiments for implementing the present invention are described below.

[1288] System Configuration

[1289] 1. User Input

[1290] The user uses the terminal to input their travel wishes, for example, a specific request such as "I want to go to a place where I can relax."

[1291] 2. Data Analysis

[1292] The device sends the user's input data to the server. The server uses natural language processing technology to analyze the input data and understand the user's intentions and wishes. The emotion engine also analyzes data such as voice and facial expressions to detect the user's current emotional state. This is achieved using the Python, OpenCV, dlib, and FER libraries.

[1293] 3. Generate a travel plan

[1294] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's preferences and emotional state. For example, it selects candidates such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1295] 4. Presenting your travel plans

[1296] The generated travel plan is sent from the server to the terminal, which then presents it to the user, who then selects the desired plan from the displayed plans.

[1297] 5. Creating and notifying detailed travel plans

[1298] The device sends the user's selection to the server, which then creates a detailed travel plan based on the selected plan, including travel dates, accommodations, transportation options, tourist attractions, etc. The created plan is sent to the device and notified to the user.

[1299] 6. Travel support

[1300] After the trip begins, the server tracks the user's location and schedule in real time. The emotion engine also analyzes the user's emotions from their facial expressions and voice. Depending on the user's emotional state, the server provides guidance and interpretation services, and suggests relaxing places and activities.

[1301] 7. Feedback Collection and Analysis

[1302] After the trip, the device collects feedback from the user and sends it to the server, where the emotion engine also analyzes this feedback to identify areas for improvement.

[1303] Specific examples

[1304] For example, if a user inputs "I want to watch a relaxing movie" and emotion analysis identifies a strong emotion of "sadness," the server will recommend "relaxing comedy movies" or "moving, heartwarming drama movies."

[1305] Prompt Sentence Examples

[1306] The prompt sentence for the generative AI model is entered as follows:

[1307] Accept input from the user in the following form:

[1308] "I want to watch a movie. I feel like relaxing."

[1309] If emotion analysis strongly identifies "sadness,"

[1310] Please generate a reply in the following format:

[1311] "Recommended content: [Title 1], [Title 2], [Title 3]."

[1312] In this way, it becomes possible to recommend optimal content according to the user's feelings and desires.

[1313] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1314] Step 1:

[1315] The user uses the terminal to input travel preferences.

[1316] Input: User's travel wishes (e.g., "I want to go somewhere relaxing")

[1317] Output: The user's preferences are sent to the terminal.

[1318] Specific operation: The user enters their desired content in text into the app on their device and presses the send button.

[1319] Step 2:

[1320] The terminal transmits the user's input data to the server.

[1321] Input: Text data of desired items

[1322] Output: The request is sent to the server.

[1323] What it does: The device sends the entered preferences to the server as an HTTP request, and the data is packaged in JSON format.

[1324] Step 3:

[1325] The server analyzes the transmitted requests using natural language processing technology to understand the user's intentions and wishes.

[1326] Input: Text data of desired items

[1327] Output: Desire and intent parsed.

[1328] How it works: The server uses a Python natural language processing library (e.g., NLTK or spaCy) to analyze the received text data and extract keywords such as "relax" and "place."

[1329] Step 4:

[1330] The emotion engine analyzes data such as voice and facial expressions to detect the user's current emotional state.

[1331] Input: User voice and facial image data

[1332] Output: Emotional state (e.g. "sad" or "happy")

[1333] Specific operation: The device's camera and microphone are used to capture the user's facial expressions and voice, which are then sent to the server, where emotions are analyzed using libraries such as OpenCV and FER.

[1334] Step 5:

[1335] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's wishes and emotional state.

[1336] Input: Desired content, emotional state, past travel data, trend information

[1337] Output: Multiple travel plans (e.g. "hot spring inn", "resort rich in nature", "quiet beach")

[1338] What it does: The server runs a database query to find travel plans that match the criteria, and then uses a Python algorithm to generate the best plan.

[1339] Step 6:

[1340] The generated travel plan is sent from the server to the terminal, which then presents it to the user.

[1341] Input: Multiple itineraries

[1342] Output: The itinerary displayed to the user

[1343] Specific operation: The server converts the generated travel plan into JSON format and sends it to the device, which then visually displays the received plan to the user.

[1344] Step 7:

[1345] The user selects a desired plan from the presented travel plans.

[1346] Input: proposed travel plan

[1347] Output: Selected itinerary

[1348] Specific operation: The user taps to select the desired plan from the options on the screen and presses the confirmation button.

[1349] Step 8:

[1350] The terminal transmits the user's selections to the server, which creates a detailed travel plan based on the selected plan.

[1351] Input: Selected travel plan

[1352] Output: A detailed itinerary

[1353] Specific operation: The device sends the selected plan back to the server, and the server adds accommodation and transportation options to refine the plan.

[1354] Step 9:

[1355] The created detailed travel plan is sent to the terminal and notified to the user.

[1356] Input: Detailed travel plan

[1357] Output: Travel plan notified to user

[1358] Specific operation: The server sends a detailed plan in JSON format to the terminal, and the terminal notifies the user.

[1359] Step 10:

[1360] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes their emotions.

[1361] Input: Location, schedule, emotional data

[1362] Output: Appropriate support suggestions

[1363] How it works: The device continuously transmits the user's location information to the server, and simultaneously analyzes their emotions. Based on this information, the server then suggests places to relax and activities to refresh them.

[1364] Step 11:

[1365] After the trip is completed, the terminal collects feedback from the user and sends it to the server.

[1366] Input: User feedback

[1367] Output: Feedback data

[1368] Specific operation: The user inputs feedback on the screen of the device and presses the send button, which then sends it to the server.

[1369] Step 12:

[1370] The server analyzes the feedback and uses an emotion engine to identify areas for improvement.

[1371] Input: Feedback data

[1372] Output: Identification of areas for improvement

[1373] Specific operation: The server analyzes the feedback data and uses an emotion engine to extract problems and areas for improvement based on the user's emotional state.

[1374] 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.

[1375] 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.

[1376] 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.

[1377] [Fourth embodiment]

[1378] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1379] 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.

[1380] 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).

[1381] 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.

[1382] 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.

[1383] 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).

[1384] 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.

[1385] 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.

[1386] 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.

[1387] 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.

[1388] 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.

[1389] 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.

[1390] 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."

[1391] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides a more detailed travel plan. The system consists of a server and a terminal, allowing users to easily plan their trip and receive support during the trip.

[1392] The program of this system operates as follows.

[1393] First, the user uses a terminal to input their travel wishes, for example, inputting a specific request such as "I want to go somewhere cool during summer vacation."

[1394] The terminal then sends these requests to the server, which then analyzes the received requests using natural language processing technology to understand the user's intentions.

[1395] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's preferences. For example, it selects candidate destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge."

[1396] The generated travel plan is sent from the server to the terminal, which then presents it to the user. The user can select the plan that best suits them from the presented travel plans. For example, if the user selects "Hokkaido," they perform an operation on the terminal to confirm their selection.

[1397] Based on the selected travel plan, the server creates a detailed travel plan, including travel dates, accommodation, transportation, tourist spots, etc. For example, a schedule such as "arrive at New Chitose Airport on August 10th, tour Sapporo on August 11th, and tour Otaru on August 12th" may be created.

[1398] The server then sends the detailed travel plan back to the terminal, which then notifies the user. The user then checks the plan and, if further changes or adjustments are required, requests the server via the terminal.

[1399] Once the trip begins, the server tracks the user's location and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server can analyze the nearest landmarks and directions and provide them to the user via the device.

[1400] After the trip is over, the device collects feedback from the user and sends it to the server. The server analyzes this feedback and uses it to improve the service. For example, a user might enter feedback such as, "The guide to Sapporo was good, but the hotel check-in process was not smooth."

[1401] This system allows users to easily create ideal travel plans and receive various support during their trip. It also enables companies to improve operational efficiency and increase customer satisfaction, and by providing this system to external companies, it is expected that they will be able to expand their business.

[1402] The processing flow will be explained below.

[1403] Step 1:

[1404] The user uses the terminal to input travel wishes, for example, a specific request such as "I want to go somewhere cool during summer vacation."

[1405] Step 2:

[1406] The device receives the user's input data and sends it to the server. The data includes keywords such as "summer vacation" and "cool place."

[1407] Step 3:

[1408] The server analyzes the received requests using natural language processing technology to understand the user's intentions. Here, the server recognizes that the requests are "summer vacation" and "a cool place."

[1409] Step 4:

[1410] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's preferences. For example, it selects candidate destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge."

[1411] Step 5:

[1412] The generated travel plan is sent from the server to the terminal. The terminal presents it to the user. The user is presented with a list of options, with the message "We propose the following plans."

[1413] Step 6:

[1414] The user selects the desired plan from the presented travel plans. For example, the user selects "Hokkaido."

[1415] Step 7:

[1416] The terminal transmits the user's selection to the server, which creates a detailed travel plan based on the selected plan.

[1417] Step 8:

[1418] The server creates a detailed travel plan, including travel dates, accommodation, transportation, tourist attractions, etc. For example, a schedule such as "arrive at New Chitose Airport on August 10th, visit Sapporo on August 11th, and visit Otaru on August 12th" may be created.

[1419] Step 9:

[1420] The detailed travel plan created is sent from the server to the device, which notifies the user and displays, "Arriving at New Chitose Airport on August 10th, checking into Hotel X in the evening. Please confirm."

[1421] Step 10:

[1422] Once the trip begins, the server tracks the user's location and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server analyzes the user's location and sends the nearest landmarks and directions to the device.

[1423] Step 11:

[1424] The device provides guidance and interpretation information to the user based on instructions from the server. For example, it displays to the user, "The nearest station is a five-minute walk away."

[1425] Step 12:

[1426] After the trip, the device collects feedback from the user, displaying a survey asking, "How satisfied were you with your trip?"

[1427] Step 13:

[1428] The user enters and submits their feedback. For example, they might enter, "The information about Sapporo city was very good, but the hotel check-in process was not smooth."

[1429] Step 14:

[1430] The server analyzes the collected feedback and uses it to improve the service, for example, by identifying areas for improvement in the hotel reservation system based on the feedback and incorporating them into the next service.

[1431] Example 1

[1432] 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."

[1433] Conventional travel planning systems place a heavy burden on users to research information and make plans themselves, and lack functionality for real-time support during the trip and feedback collection, making it difficult to provide a high-quality travel experience. This has led to the issue of not being able to sufficiently increase user satisfaction. In particular, it has been difficult to accurately analyze users' requests and provide optimal travel plans based on them.

[1434] 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.

[1435] In this invention, the server includes: means for accepting travel requests from a user; natural language processing means for analyzing the accepted requests; means for generating multiple itineraries based on the analysis results of the natural language processing; means for presenting the generated itineraries to the user; means for creating a detailed itinerary based on a plan selected by the user from the presented itineraries; means for notifying the user of the created detailed itinerary; means for tracking the user's location information and schedule in real time during the trip; means for analyzing the location information in real time to provide the nearest landmarks and routes; means for providing guidance and interpretation services during the trip; means for collecting feedback from the user after the trip and analyzing the collected feedback; means for generating an itinerary based on the user's requests using a generative AI model; and means for inputting prompt sentences into the generative AI model to generate the itinerary. This allows for efficient provision of an optimal itinerary based on the user's requests, real-time support during the trip, and a highly satisfying travel experience.

[1436] "User" means an individual or entity that uses the System to plan, book, or receive assistance with travel.

[1437] "Desires" is information indicating the conditions and requests the user has regarding the trip.

[1438] "Natural language processing means" is a system that uses technology to analyze the requests entered by the user and understand their contents.

[1439] A "travel plan" is a collection of multiple travel courses and schedules proposed based on the user's wishes.

[1440] A "detailed travel plan" is a plan that includes specific itineraries, accommodations, transportation, tourist attractions, etc. according to the selected travel plan.

[1441] "Real-time tracking means" refers to technologies and functions that allow users to instantly know their current location and schedule while traveling.

[1442] A "landmark" is a building or facility that serves as a landmark near the user's current location.

[1443] "Guidance and interpretation services" refers to supplementary support that allows users to obtain information during their travels and communicate across language barriers.

[1444] "Feedback" refers to information such as opinions, impressions, and areas for improvement provided by users after completing their trip.

[1445] A "generative AI model" is a model that uses artificial intelligence technology to generate optimal travel plans based on the user's preferences.

[1446] A "prompt sentence" is an input sentence used to prompt a generative AI model to suggest an appropriate travel plan.

[1447] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides detailed travel plans. The system consists of a server and a terminal, and allows users to easily plan their trip and receive support during the trip.

[1448] Users input their travel preferences using a dedicated application on their smartphone or tablet. For example, they might enter a specific request, such as "I want to go somewhere cool during my summer vacation." The device converts the user's preferences into JSON or XML format and sends it to a server via an internet connection.

[1449] The server uses a server application such as Python or Apache to analyze the received requests using natural language processing technology (e.g., Google Cloud Natural Language API). Based on the analysis results, it understands the user's intent and identifies the travel theme and destination. For example, it extracts keywords such as "family trip," "cool places," and "kids' activities."

[1450] The server references past travel data and trend information from a database system (e.g., MySQL or PostgreSQL) to generate multiple travel plans that match the user's preferences. A generative AI model (e.g., GPT-3.5) is used to generate the plans, and appropriate suggestions are made using prompts. Examples of prompts include, "Please tell me some cool places to enjoy on a family trip. Please suggest places with activities that children can enjoy."

[1451] The generated travel plans are sent from the server to the terminal, which then presents the plans to the user in a visually easy-to-understand format. For example, it displays a detailed overview of each plan, images, and the attractions of the travel destinations. The user selects the plan that best suits them from the presented travel plans and confirms their selection.

[1452] The server creates a detailed travel plan based on the selected travel plan. This plan includes travel dates, accommodations, transportation, tourist spots, etc. Specifically, a schedule such as "arrive at New Chitose Airport on August 10th, tour Sapporo on August 11th, and tour Otaru on August 12th" may be created.

[1453] The detailed travel plan is sent from the server to the device, and the device provides the user with detailed information by sending a notification. The user can check the notification and further adjust the plan if necessary. After the trip begins, the server tracks the user's location information (GPS data) and schedule in real time and provides guidance and interpretation services as needed. For example, if the user gets lost, the server can provide the nearest landmarks and route information in real time.

[1454] After the trip is over, the device collects feedback from the user and sends this information to the server. The server analyzes the feedback and uses it to improve the service. An example of specific feedback is the comment, "The information about Sapporo city was good, but the hotel check-in process was not smooth."

[1455] This invention allows users to easily create ideal travel plans and receive various support services while traveling. It also allows companies to improve operational efficiency and customer satisfaction, and the provision of this system is expected to lead to business expansion.

[1456] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1457] Step 1:

[1458] Users use a smartphone or tablet application to input their travel preferences, such as "I want to go somewhere cool during summer vacation."

[1459] Input: User's wishes (text format)

[1460] Output: Text format of desired items

[1461] Step 2:

[1462] The terminal transmits the user's input preferences to a server via the Internet, converting them into JSON or XML format before transmitting.

[1463] Input: Text format desired data

[1464] Output: Preference data in JSON or XML format

[1465] Step 3:

[1466] The server analyzes the received requests using natural language processing technology. Specifically, it uses Google Cloud Natural Language API and other tools to extract keywords and phrases to understand the user's intent. For example, it extracts keywords such as "family trip," "cool places," and "kids' activities."

[1467] Input: JSON or XML formatted data

[1468] Output: Parsed keywords and phrases

[1469] Step 4:

[1470] The server references past travel data and trend information from the database and generates multiple travel plans based on the analyzed keywords. In this process, it uses a generative AI model (e.g., GPT-3.5) and prompts to generate appropriate travel plans.

[1471] Input: Parsed keywords and phrases

[1472] Example prompt: "Tell me some cool places to go on a family trip. Suggest some places with activities that kids can enjoy."

[1473] Output: Multiple travel plans (text format)

[1474] Step 5:

[1475] The server sends the generated itineraries to the terminal, which then visually presents the received itineraries to the user, displaying an overview of each itinerary, images, and details about the attractions of the travel destinations.

[1476] Input: Multiple travel plans (text format)

[1477] Output: A travel plan that is visually displayed to the user

[1478] Step 6:

[1479] The user selects the most suitable plan from the presented travel plans. When selecting, the user performs operations such as tapping or clicking. For example, to select "Hokkaido," the user presses the selection button for the corresponding plan to confirm.

[1480] Input: User selection of plan

[1481] Output: Selected itinerary

[1482] Step 7:

[1483] The server creates a detailed travel plan based on the selected travel plan. This plan includes specific details such as travel dates, accommodations, transportation, and tourist spots. For example, a schedule such as "arrive at New Chitose Airport on August 10, visit Sapporo on August 11, and visit Otaru on August 12" may be created.

[1484] Input: Selected travel plan

[1485] Output: Detailed travel plan (text format)

[1486] Step 8:

[1487] The server sends the created detailed travel plan to the terminal, which notifies the user of the received plan and displays detailed information about the schedule and accommodations.

[1488] Input: Detailed travel plan (text format)

[1489] Output: A detailed travel plan that is communicated to the user

[1490] Step 9:

[1491] After the user starts their trip, the server tracks their location (GPS data) and schedule in real time. It also provides guidance and interpretation services as needed. For example, if the user gets lost, it provides real-time information on the nearest landmarks and routes.

[1492] Input: User location information (GPS data), schedule information

[1493] Output: Real-time guidance and interpretation services

[1494] Step 10:

[1495] After the trip is over, the device collects feedback from the user. The user enters their experience during the trip and areas for improvement within the application. Specifically, they may enter feedback such as, "The guidance around Sapporo was good, but the hotel check-in process was not smooth." The server analyzes this feedback and uses it to improve the service.

[1496] Input: User feedback

[1497] Output: Parsed feedback data

[1498] (Application example 1)

[1499] 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."

[1500] Conventional travel planning systems do not provide support for users during the trip or collect feedback after the trip. They also lack functionality to meet diverse needs, such as suggesting the best restaurants and delivery options based on meal preferences. Therefore, more advanced support systems are needed to improve the quality of the user experience.

[1501] 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.

[1502] In this invention, the server includes means for accepting travel preferences from a user, means for generating multiple travel plans based on the accepted preferences, means for presenting the generated travel plans to the user, means for creating a detailed travel plan based on a plan selected by the user from the presented travel plans, means for notifying the user of the created detailed travel plan, means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services, means for collecting and analyzing feedback from the user after the trip ends, means for accepting meal preferences from the user, suggesting optimal restaurants and delivery options based on the information, and providing a detailed ordering plan, and means for tracking the progress of orders in real time and providing necessary notification services. This enables users to receive optimal support that meets their diverse needs, including during their trip.

[1503] A "user" is a person who uses the system to receive travel plans and meal suggestions.

[1504] "Travel wishes" refers to travel requests and conditions that a user inputs into the system.

[1505] "Multiple travel plans" refers to multiple different travel itineraries generated based on the user's travel preferences.

[1506] A "detailed travel plan" is a specific travel itinerary, accommodation, transportation, tourist spots, etc., created based on the selected travel plan.

[1507] "Location information" refers to data about a user's current location.

[1508] A "schedule" is the time and content of activities and travel planned by the user.

[1509] "Guidance" refers to direction and location information provided to the user.

[1510] "Interpretation services" means services that assist in communication between different languages.

[1511] "Feedback" refers to opinions and impressions that users provide to the system after using it.

[1512] "Dietary preferences" refer to dietary requests and requirements that a user inputs into the system.

[1513] A "restaurant" is a restaurant where users can eat.

[1514] "Delivery option" is a service that allows users to order the meal they want and have it delivered to their home or a specified location.

[1515] An "order plan" is a specific order content, delivery time, price, etc. that is created based on the menu selected by the user.

[1516] "Notification Service" is a feature that provides users with real-time information about the progress of their orders and trips.

[1517] This invention involves a system that accepts travel and dining preferences from users and, based on that information, suggests optimal travel plans and dining options. The system is comprised of a server and terminals and operates as follows:

[1518] First, the user inputs their travel and dining preferences using a device (smartphone or tablet). For example, the user might input, "I want to go somewhere cool during my summer vacation" or "I want to eat a healthy dinner tonight."

[1519] The device sends these requests to the server, which then uses natural language processing technology to analyze the user's requests. For example, it uses a Python-based NLP engine (spaCy or NLTK) to understand the user's intent.

[1520] Based on the analysis results, the server references past data and trend information from a database (e.g., PostgreSQL or MySQL) to generate multiple travel plans and dining options that match the user's preferences. The generated options are sent to the terminal and presented to the user. For example, they include travel destinations such as "Karuizawa," "Hokkaido," and "Oirase Gorge," as well as dining options such as "salad specialty restaurants," "healthy bowls," and "low-calorie restaurants."

[1521] The user selects the most appropriate option from the options presented. For example, if the user selects "Hokkaido" or "Specialty salad bowl from a salad specialty store," the user confirms the selection on the terminal.

[1522] Based on the selected options, the server creates a detailed travel plan or ordering plan, including travel dates, accommodation, transportation, sightseeing spots, order contents, delivery time, and cost. For example, a schedule such as "Arriving at New Chitose Airport on August 10th" and "Ordering a special salad bowl from a salad specialty store for dinner" may be created.

[1523] The detailed plans and schedules created are then sent back to the terminal from the server and notified to the user. The user then checks the plans and, if further changes or adjustments are required, requests are made to the server via the terminal.

[1524] After the trip begins and while the order is in progress, the server tracks the user's location and schedule in real time and provides guidance and notification services as needed. For example, real-time communication (WebSocket and Firebase) using Google Cloud Platform (GCP) or Amazon Web Services (AWS) is used. If the user gets lost, the nearest landmarks and directions can be provided via the device, and the order status can be tracked in real time.

[1525] After the trip or order is completed, the terminal collects feedback from the user and sends it to the server, which analyzes the feedback and uses it to improve the system's services.

[1526] As a concrete example, a user might enter the following prompt sentence:

[1527] "I want to eat a healthy dinner tonight. Can you recommend a restaurant and what's on the menu right now?"

[1528] In this way, users can easily plan trips and meals and receive support during their trips and meal preparations, while businesses can improve service efficiency and increase customer satisfaction.

[1529] The above is an embodiment of the present invention.

[1530] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1531] Step 1:

[1532] The user uses the device to input travel and dining preferences. For example, they might input "I want to go somewhere cool during my summer vacation" or "I want to eat a healthy dinner tonight." The input content is stored on the device as text data.

[1533] Step 2:

[1534] The device sends the user's input data to the server. Specifically, the data is sent using an HTTP request. The server receives the input data via an API.

[1535] Step 3:

[1536] The server analyzes the received input data using natural language processing technology, such as a Python NLP engine (spaCy or NLTK) to understand the user's intent. The analysis results are output as structured data that represents the user's wishes.

[1537] Step 4:

[1538] Based on the analysis results, the server retrieves relevant information from a database (PostgreSQL or MySQL) and generates multiple travel plans and dining options that match the user's preferences. Specifically, it executes SQL queries to reference past travel data and trend information. The generated options are then compiled into multiple choices.

[1539] Step 5:

[1540] The generated travel plans and meal options are sent from the server to the device using HTTP responses. The device receives the data and presents it to the user.

[1541] Step 6:

[1542] The user selects the option that best suits them from the options presented on the device, and the selection is saved as text data on the device.

[1543] Step 7:

[1544] The user's selection is sent back to the server from the device. Specifically, the selected data is sent using an HTTP request. The server receives the data via an API.

[1545] Step 8:

[1546] The server creates a detailed travel and ordering plan based on the selected options. Specifically, it uses scheduling and pricing algorithms to generate a detailed plan including travel itinerary, accommodation, transportation, tourist attractions, order contents, delivery time, and price. The generated plan is output as structured data.

[1547] Step 9:

[1548] The detailed plans and plans created are sent back to the device from the server and notified to the user. Specifically, the data is sent using an HTTP response, which the device displays as a notification.

[1549] Step 10:

[1550] After the trip starts and while the order is in progress, the server tracks the user's location and schedule in real time and provides guidance and notification services as needed, using real-time communication technologies such as WebSocket and Firebase, to provide the nearest landmarks, directions, and order status tracking information based on the user's location.

[1551] Step 11:

[1552] After the trip or order is completed, the terminal collects feedback from the user and sends it to the server. Specifically, the feedback input form collects the user's opinions and thoughts as text data and sends it to the server via an HTTP request. The server receives the data via API, analyzes it, and uses it to improve the service.

[1553] 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.

[1554] This invention is a system that accepts travel requests from users, generates an optimal travel plan based on that information, and creates and provides a detailed travel plan. It also recognizes the user's emotions in real time and provides emotional support. The system consists of a server, a terminal, and an emotion engine. It enables users to easily plan their trip and receive emotional support.

[1555] The program of this system operates as follows.

[1556] First, the user uses a terminal to input their travel wishes, for example, "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[1557] Next, the device sends the user's input data to the server, which includes keywords such as "stress" and "places where you can relax."

[1558] The server uses natural language processing technology to analyze the received requests and understand the user's intentions. The emotion engine also analyzes the user's emotions and takes into account their current emotional state. For example, it can recognize that the user is seeking "relief from stress" and "relaxation."

[1559] The server references past travel data and trend information from the database to generate multiple travel plans that match the user's desires and emotions. For example, it selects candidate locations such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1560] The generated travel plan is sent from the server to the terminal, which then presents it to the user. The user is given a choice of options, with the message "We suggest the following relaxing plans."

[1561] The user selects the desired plan from the presented travel plans. For example, the user selects "hot spring inn."

[1562] The terminal transmits the user's selections to the server, which creates a detailed travel plan based on the selected plan.

[1563] The server creates a detailed travel plan, including travel dates, accommodations, transportation, tourist spots, etc. For example, a schedule might be created such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and do sightseeing in the surrounding area on October 12th."

[1564] The detailed travel plan is sent from the server to the device, and the device notifies the user, displaying the message "Arrive at the hot spring inn on October 10th, and have dinner at the restaurant in the evening. Please confirm."

[1565] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes the user's emotions from facial expressions and voice. Depending on the user's emotional state, guidance and interpretation services are provided. For example, if the user is feeling anxious, the server will suggest relaxing places and activities and notify the user via their device.

[1566] After the trip is over, the device collects feedback from the user and sends it to the server. The emotion engine also analyzes this feedback and identifies areas for improvement based on the user's emotions. For example, a user might enter feedback such as, "The hot spring inn was very relaxing, but I was dissatisfied with the breakfast menu."

[1567] This system allows users to easily create ideal travel plans and receive support that takes their emotional state into consideration, allowing them to enjoy a more satisfying trip. It also enables companies to improve operational efficiency and increase customer satisfaction, and by providing systems that include the emotion engine to external companies, it is expected that they will be able to expand their business.

[1568] The processing flow will be explained below.

[1569] Step 1:

[1570] The user uses the terminal to input their travel wishes, for example, "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[1571] Step 2:

[1572] The device sends the user's input data to the emotion engine, which then analyzes the user's facial expressions and voice. For example, it can recognize that the user is under a high level of stress based on the text posted or the user's facial expression.

[1573] Step 3:

[1574] The device combines the user's input data with the analysis results of the emotion engine and sends the combined data to the server. The transmitted data includes keywords such as "stress" and "places where you can relax" as well as emotion data.

[1575] Step 4:

[1576] The server uses natural language processing technology to analyze the user's wishes and emotional data and understands their intentions. The server recognizes that the user's wishes are "summer vacation" and "a cool place," and that the user is feeling highly stressed.

[1577] Step 5:

[1578] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's desires and emotions. For example, it selects candidate locations such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1579] Step 6:

[1580] The generated travel plan is sent from the server to the device, which then presents it to the user, displaying the message "We suggest the following relaxing plan."

[1581] Step 7:

[1582] The user selects the desired plan from the presented travel plans. For example, the user selects "hot spring inn."

[1583] Step 8:

[1584] The terminal transmits the user's selection to the server, which creates a detailed travel plan based on the selected plan.

[1585] Step 9:

[1586] The server creates a detailed travel plan, including travel dates, accommodations, transportation, tourist spots, etc. For example, a schedule might be created such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and do sightseeing in the surrounding area on October 12th."

[1587] Step 10:

[1588] The detailed travel plan is sent from the server to the device, and the device notifies the user, displaying the message "Arrive at the hot spring inn on October 10th, and have dinner at the restaurant in the evening. Please confirm."

[1589] Step 11:

[1590] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes the user's emotions from facial expressions, voice, etc.

[1591] Step 12:

[1592] The server provides guidance and interpretation services according to the user's emotional state. For example, if the user is feeling anxious, the server will suggest places and activities to relax and notify the user via the device.

[1593] Step 13:

[1594] The terminal provides guidance and interpretation information to the user based on instructions from the server. For example, it displays to the user, "This is the relaxation spot in the hot spring town."

[1595] Step 14:

[1596] After the trip, the device collects feedback from the user by displaying a questionnaire asking, "How satisfied were you with your trip?"

[1597] Step 15:

[1598] The user enters and submits their feedback. For example, they might enter, "The hot spring inn was very relaxing, but I was dissatisfied with the breakfast menu."

[1599] Step 16:

[1600] The server analyzes the collected feedback and uses it to improve services. The emotion engine also analyzes this feedback and identifies areas for improvement based on user emotions. For example, it can identify areas for improvement in hotel services and menus based on feedback and incorporate them into the next service.

[1601] Example 2

[1602] 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."

[1603] Conventional travel planning systems provided travel plans without considering the user's emotional state, making it difficult to maximize user satisfaction. Furthermore, they lacked real-time support during the trip and were unable to quickly respond to the anxiety and stress users felt during their trip. This resulted in a poor user experience and impacted the quality of the trip.

[1604] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for accepting travel requests from a user, means for generating multiple travel plans based on the accepted requests, means for presenting the generated travel plans to the user, means for creating a detailed travel plan based on a plan selected by the user from the presented travel plans, means for notifying the user of the created detailed travel plan, means for tracking the user's location information and schedule during the trip and providing guidance and interpretation services, means for collecting and analyzing feedback from the user after the trip ends, and means for analyzing the user's emotions in real time and providing support based on the emotions. This makes it possible to provide appropriate support in real time, taking into account the user's emotional state.

[1605] "User" refers to a person who uses the system to input travel preferences and receive provided travel plans and detailed travel itineraries.

[1606] "Server" refers to the central computing device that analyzes data received from users, generates travel plans, creates detailed itineraries, and provides real-time assistance.

[1607] "Terminal" refers to the device (smartphone, PC, etc.) on which the user enters data and receives notifications from the server.

[1608] "Travel wishes" refers to the specific conditions and requests (for example, "a place where I can relax" or "stress relief") that the user desires for the trip he or she plans.

[1609] "Multiple travel plans" refers to multiple travel options (for example, "hot spring inn," "resort rich in nature," "quiet beach," etc.) that are generated based on the user's preferences and proposed to the user.

[1610] A "detailed travel plan" refers to a specific schedule or itinerary (e.g., dates, accommodations, transportation, tourist spots, etc.) created based on a travel plan selected by the user.

[1611] "Natural language processing" refers to the technology of analyzing received text data and understanding its meaning and intent.

[1612] "Emotion analysis technology" refers to technology that analyzes the user's input data, facial expressions, voice, etc. while traveling to recognize the user's emotional state.

[1613] "Location information" refers to geographical location data of the user's current location.

[1614] "Real-time tracking" refers to the continuous monitoring of a user's location and emotional state, and the immediate reflection of that information.

[1615] "Feedback" refers to opinions and impressions regarding the experience and satisfaction provided by the user after the trip is completed.

[1616] "Assistance" refers to advice and assistance (e.g., guidance and interpretation services) provided based on the user's emotional state and travel situation.

[1617] To implement this invention, the system uses the following hardware and software configuration: The system is mainly composed of a server, a terminal, and an emotion engine.

[1618] 1. Hardware and Software Configuration

[1619] server

[1620] The server is the central device that receives data from users and generates itineraries using natural language processing and sentiment analysis techniques. This server uses the following software and tools:

[1621] Natural Language Processing Technology: Apache OpenNLP or Google Cloud Natural Language API

[1622] Database management system: MySQL or PostgreSQL

[1623] Sentiment analysis technology: IBM Watson Tone Analyzer or Microsoft Azure Text Analytics

[1624] Terminal

[1625] The terminal is a device that allows users to input their travel preferences and receive notifications from the server. It can be a smartphone or PC. The terminal preferably includes the following software:

[1626] Input form: Web form or application form

[1627] Communication module: A module for sending HTTP requests

[1628] Emotion Engine

[1629] The emotion engine is a component that analyzes emotions from user input and travel data, enabling support based on the user's emotions.

[1630] 2. Data processing and calculation

[1631] Natural Language Processing

[1632] The server uses natural language processing technology to analyze the text data sent by the user. For example, if the user enters, "I'm stressed out from work, so I want to go somewhere where I can relax," the server analyzes this text and extracts the keywords "stress" and "place where I can relax."

[1633] Emotion analysis

[1634] The emotion engine identifies the user's emotional state from text data analyzed using natural language processing. For example, if the keyword "stress" is included, it will recognize that the user is feeling stressed.

[1635] Generate a travel plan

[1636] The server then searches for and generates relevant travel plans from a database based on the analysis results, generating multiple options such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1637] 3. Specific Examples

[1638] Example 1:

[1639] Input (user): "I'm stressed out at work, so I want to go somewhere to relax."

[1640] Processing (server): Analyze using natural language processing and extract "stress" and "relax" as keywords. Recognize the user's emotions (stress) using an emotion engine.

[1641] Output (server): Generates candidates such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1642] Output (terminal): Display candidate locations with the message "We suggest the following relaxing plans."

[1643] Example 2:

[1644] User Input: "The hot spring inn was very relaxing, but I was disappointed with the breakfast menu."

[1645] Processing (Server): Analyzes feedback data and identifies areas for improvement.

[1646] Output (terminal): Displays "Thank you for your feedback. We will consider improving our breakfast menu."

[1647] Prompt Sentence Examples

[1648] "Please suggest a relaxing trip. I'm stressed out from work, so I'd like to go somewhere where I can relax in nature."

[1649] "Please create a detailed travel plan including sightseeing around the hot spring inn. If possible, please also let me know the schedule."

[1650] As described above, this invention is a system that takes into account the user's wishes and emotional state, provides an appropriate travel plan, and provides real-time support, thereby increasing user satisfaction. Operation of this system improves the quality of travel and provides a more fulfilling user experience.

[1651] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1652] Step 1:

[1653] The user uses the terminal to input travel preferences.

[1654] Input: The user enters a specific request into a text form, such as "I'm feeling stressed from work, so I want to go somewhere where I can relax."

[1655] How it works: When the user clicks the input button, the device temporarily stores this text data in its internal memory.

[1656] Output: Your wishes will be saved as text data on your device.

[1657] Step 2:

[1658] The terminal sends the input data to the server.

[1659] Input: The text data entered by the user in step 1.

[1660] How it works: The device sends this data to the server using an HTTP POST request, with the data encoded in JSON format.

[1661] Output: JSON format data arrives at the server.

[1662] Step 3:

[1663] The server analyzes the received data to understand the user's intentions and emotional state.

[1664] Input: The JSON formatted request sent from the terminal in step 2.

[1665] Operation:

[1666] The server first uses natural language processing technology (e.g., Apache OpenNLP) to analyze the text data and extract important keywords (e.g., "stress" and "relaxation").

[1667] Next, sentiment analysis technology (e.g., IBM Watson Tone Analyzer) is used to identify the emotional state of keywords and the text as a whole.

[1668] Output: Extracted keywords and sentiment analysis results.

[1669] Step 4:

[1670] The server generates a travel plan from the database.

[1671] Input: Keywords extracted in Step 3 ("stress" and "relax") and sentiment analysis results.

[1672] Operation:

[1673] The server queries a database (e.g., MySQL) to find suitable travel plans (e.g., "hot spring inns," "resorts rich in nature," "quiet beaches") based on past travel data and trend information.

[1674] Select and list several suitable plans.

[1675] Output: A list of selected itineraries.

[1676] Step 5:

[1677] The server transmits the generated plan to the terminal, which then presents it to the user.

[1678] Input: The list of itineraries generated in step 4.

[1679] Operation:

[1680] The server encodes this list in JSON format and sends it to the terminal.

[1681] The device analyzes the received data and displays the selected plan to the user along with the message, "We suggest the following relaxing plan."

[1682] Output: The proposed plan is displayed to the user.

[1683] Step 6:

[1684] The user selects the plan they want.

[1685] Input: The list of travel plans displayed on your device in step 5.

[1686] Operation: The user selects the desired plan from the presented plans (e.g., "hot spring inn") and clicks the selection button.

[1687] Output: The selected plan information is saved on the device.

[1688] Step 7:

[1689] The terminal sends the selection information to the server, which then creates a detailed travel plan.

[1690] Input: The plan information selected by the user in step 6.

[1691] Operation:

[1692] The terminal transmits information about the selected plan to the server.

[1693] The server uses the information submitted to create a detailed travel plan, including itinerary, accommodation, transportation, and tourist attractions.

[1694] For example, you could create a specific schedule such as "arrive at the hot spring inn on October 10th, take a rest day on October 11th, and sightsee in the surrounding area on October 12th."

[1695] Output: Detailed travel planning information is generated.

[1696] Step 8:

[1697] The server sends a detailed travel plan to the terminal, which then notifies the user.

[1698] Input: Detailed travel planning information generated in step 7.

[1699] Operation:

[1700] The server sends a detailed travel plan in JSON format to the terminal.

[1701] The device analyzes this and displays a notification saying, "Arrived at the hot spring inn on October 10th, dinner at the restaurant in the evening. Please confirm."

[1702] Output: The user is notified of the detailed itinerary.

[1703] Step 9:

[1704] During the trip, the server tracks and assists the user's location and emotional state in real time.

[1705] Input: Location and emotional state data of the user during the trip.

[1706] Operation:

[1707] The terminal transmits the user's location information to the server at regular intervals.

[1708] The server tracks location information using Google Maps APIs and other tools, and uses an emotion engine to analyze the user's emotional state in real time.

[1709] If the user is feeling anxious, the system will suggest relaxing places and activities and notify the user via their device.

[1710] Output: Real-time guidance and assistance information is provided to the user.

[1711] Step 10:

[1712] After the trip is over, the terminal collects feedback from the user and sends it to the server.

[1713] Input: User feedback data after the trip is completed.

[1714] Operation:

[1715] After the trip, the terminal displays a feedback form, allowing the user to enter their impressions and opinions.

[1716] The terminal transmits this feedback data to the server.

[1717] Output: Feedback data arrives at the server.

[1718] Step 11:

[1719] The server analyzes the feedback and identifies areas for improvement in the system.

[1720] Input: Feedback data submitted in step 10.

[1721] Operation:

[1722] The server uses natural language processing technology to analyze the feedback data and identify user satisfaction and dissatisfaction.

[1723] This information is used to update the database and help improve the accuracy of the next plan generation.

[1724] Output: Improvements are identified and the system is updated.

[1725] (Application example 2)

[1726] 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."

[1727] Conventional travel planning systems generate travel plans without considering the user's emotional state, resulting in a lack of customization based on the user's emotions. Furthermore, they are unable to recommend content based on the user's real-time emotions, which can lead to a decrease in user satisfaction. Therefore, there is a need for a system that can recognize a user's emotions in real time and provide travel plans and content based on their emotions.

[1728] 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.

[1729] In this invention, the server includes a means for recognizing a user's emotions in real time and providing appropriate support based on the emotions, a means for recommending content based on the user's current emotional state, and a means for generating content according to the user's wishes using prompt sentences for the generative AI model. This enables customization based on the user's emotions and provides a higher level of satisfaction.

[1730] "Recognizing user emotions in real time" means analyzing the user's facial expressions and voice using a smartphone or other device to grasp their current emotional state in real time.

[1731] "Providing appropriate support based on emotions" means suggesting guidance and interpretation during travel, as well as activities that help with relaxation and stress relief, based on the user's recognized emotional state.

[1732] "Recommending content based on the user's current emotional state" means analyzing the user's emotions and providing the most appropriate content, such as movies, music, books, and articles, accordingly.

[1733] "Prompts for generative AI models" refer to instructions or questions that are displayed to AI models based on user input and emotional state, and are used to generate optimal content.

[1734] "Natural language processing" is a technology that analyzes text and speech input by users and understands their content, extracting keywords and analyzing their intent.

[1735] "Tracking location and schedule during travel" means monitoring the current location and planned schedule obtained from the user's device in real time and providing support as needed.

[1736] "Providing guidance and interpretation services" means providing information and language assistance that users need during their trip, helping them have a smooth travel experience.

[1737] "Collecting and analyzing feedback" means collecting data on opinions and impressions received from users after the trip and analyzing it to identify areas for improvement.

[1738] "Creating and notifying a detailed travel plan" means creating a plan including details such as specific dates, accommodation, and transportation based on the travel plan selected by the user, and notifying the user of the plan.

[1739] This invention is a system that allows users to plan trips and receive support based on their emotions. This system is composed of a server, a terminal, and an emotion engine, and enables users to easily plan trips and receive support based on their emotions. Specific embodiments for implementing the present invention are described below.

[1740] System Configuration

[1741] 1. User Input

[1742] The user uses the terminal to input their travel wishes, for example, a specific request such as "I want to go to a place where I can relax."

[1743] 2. Data Analysis

[1744] The device sends the user's input data to the server. The server uses natural language processing technology to analyze the input data and understand the user's intentions and wishes. The emotion engine also analyzes data such as voice and facial expressions to detect the user's current emotional state. This is achieved using the Python, OpenCV, dlib, and FER libraries.

[1745] 3. Generate a travel plan

[1746] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's preferences and emotional state. For example, it selects candidates such as "hot spring inns," "resorts rich in nature," and "quiet beaches."

[1747] 4. Presenting your travel plans

[1748] The generated travel plan is sent from the server to the terminal, which then presents it to the user, who then selects the desired plan from the displayed plans.

[1749] 5. Creating and notifying detailed travel plans

[1750] The device sends the user's selection to the server, which then creates a detailed travel plan based on the selected plan, including travel dates, accommodations, transportation options, tourist attractions, etc. The created plan is sent to the device and notified to the user.

[1751] 6. Travel support

[1752] After the trip begins, the server tracks the user's location and schedule in real time. The emotion engine also analyzes the user's emotions from their facial expressions and voice. Depending on the user's emotional state, the server provides guidance and interpretation services, and suggests relaxing places and activities.

[1753] 7. Feedback Collection and Analysis

[1754] After the trip, the device collects feedback from the user and sends it to the server, where the emotion engine also analyzes this feedback to identify areas for improvement.

[1755] Specific examples

[1756] For example, if a user inputs "I want to watch a relaxing movie" and emotion analysis identifies a strong emotion of "sadness," the server will recommend "relaxing comedy movies" or "moving, heartwarming drama movies."

[1757] Prompt Sentence Examples

[1758] The prompt sentence for the generative AI model is entered as follows:

[1759] Accept input from the user in the following form:

[1760] "I want to watch a movie. I feel like relaxing."

[1761] If emotion analysis strongly identifies "sadness,"

[1762] Please generate a reply in the following format:

[1763] "Recommended content: [Title 1], [Title 2], [Title 3]."

[1764] In this way, it becomes possible to recommend optimal content according to the user's feelings and desires.

[1765] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1766] Step 1:

[1767] The user uses the terminal to input travel preferences.

[1768] Input: User's travel wishes (e.g., "I want to go somewhere relaxing")

[1769] Output: The user's preferences are sent to the terminal.

[1770] Specific operation: The user enters their desired content in text into the app on their device and presses the send button.

[1771] Step 2:

[1772] The terminal transmits the user's input data to the server.

[1773] Input: Text data of desired items

[1774] Output: The request is sent to the server.

[1775] What it does: The device sends the entered preferences to the server as an HTTP request, and the data is packaged in JSON format.

[1776] Step 3:

[1777] The server analyzes the transmitted requests using natural language processing technology to understand the user's intentions and wishes.

[1778] Input: Text data of desired items

[1779] Output: Desire and intent parsed.

[1780] How it works: The server uses a Python natural language processing library (e.g., NLTK or spaCy) to analyze the received text data and extract keywords such as "relax" and "place."

[1781] Step 4:

[1782] The emotion engine analyzes data such as voice and facial expressions to detect the user's current emotional state.

[1783] Input: User voice and facial image data

[1784] Output: Emotional state (e.g. "sad" or "happy")

[1785] Specific operation: The device's camera and microphone are used to capture the user's facial expressions and voice, which are then sent to the server, where emotions are analyzed using libraries such as OpenCV and FER.

[1786] Step 5:

[1787] The server references past travel data and trend information from a database to generate multiple travel plans that match the user's wishes and emotional state.

[1788] Input: Desired content, emotional state, past travel data, trend information

[1789] Output: Multiple travel plans (e.g. "hot spring inn", "resort rich in nature", "quiet beach")

[1790] What it does: The server runs a database query to find travel plans that match the criteria, and then uses a Python algorithm to generate the best plan.

[1791] Step 6:

[1792] The generated travel plan is sent from the server to the terminal, which then presents it to the user.

[1793] Input: Multiple itineraries

[1794] Output: The itinerary displayed to the user

[1795] Specific operation: The server converts the generated travel plan into JSON format and sends it to the device, which then visually displays the received plan to the user.

[1796] Step 7:

[1797] The user selects a desired plan from the presented travel plans.

[1798] Input: proposed travel plan

[1799] Output: Selected itinerary

[1800] Specific operation: The user taps to select the desired plan from the options on the screen and presses the confirmation button.

[1801] Step 8:

[1802] The terminal transmits the user's selections to the server, which creates a detailed travel plan based on the selected plan.

[1803] Input: Selected travel plan

[1804] Output: A detailed itinerary

[1805] Specific operation: The device sends the selected plan back to the server, and the server adds accommodation and transportation options to refine the plan.

[1806] Step 9:

[1807] The created detailed travel plan is sent to the terminal and notified to the user.

[1808] Input: Detailed travel plan

[1809] Output: Travel plan notified to user

[1810] Specific operation: The server sends a detailed plan in JSON format to the terminal, and the terminal notifies the user.

[1811] Step 10:

[1812] After the trip begins, the server tracks the user's location and schedule in real time, and the emotion engine analyzes their emotions.

[1813] Input: Location, schedule, emotional data

[1814] Output: Appropriate support suggestions

[1815] How it works: The device continuously transmits the user's location information to the server, and simultaneously analyzes their emotions. Based on this information, the server then suggests places to relax and activities to refresh them.

[1816] Step 11:

[1817] After the trip is completed, the terminal collects feedback from the user and sends it to the server.

[1818] Input: User feedback

[1819] Output: Feedback data

[1820] Specific operation: The user inputs feedback on the screen of the device and presses the send button, which then sends it to the server.

[1821] Step 12:

[1822] The server analyzes the feedback and uses an emotion engine to identify areas for improvement.

[1823] Input: Feedback data

[1824] Output: Identification of areas for improvement

[1825] Specific operation: The server analyzes the feedback data and uses an emotion engine to extract problems and areas for improvement based on the user's emotional state.

[1826] 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.

[1827] 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.

[1828] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1829] 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.

[1830] FIG. 9 illustrates 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 behaviors 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.

[1831] 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.

[1832] 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).

[1833] 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.

[1834] 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."

[1835] 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.

[1836] 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).

[1837] 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.

[1838] 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.

[1839] 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.

[1840] 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.

[1841] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1842] 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.

[1843] 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.

[1844] 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.

[1845] 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.

[1846] 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.

[1847] The following is further disclosed regarding the above embodiment.

[1848] (Claim 1)

[1849] A means for receiving travel requests from a user;

[1850] means for generating a plurality of travel plans based on the received preferences;

[1851] means for presenting the generated travel plan to a user;

[1852] A means for creating a detailed travel plan based on a plan selected by the user from the travel plans presented;

[1853] means for notifying the user of the created detailed travel plan;

[1854] A means for tracking the user's location and schedule while traveling and providing guidance and interpretation services;

[1855] A means of collecting and analyzing feedback from users after their trip is completed

[1856] A system including:

[1857] (Claim 2)

[1858] 2. The system according to claim 1, further comprising means for analyzing user input data using natural language processing.

[1859] (Claim 3)

[1860] 10. The system of claim 1, further comprising means for analyzing the user's location information in real time during the trip and providing the nearest landmarks and directions.

[1861] "Example 1"

[1862] (Claim 1)

[1863] A means for receiving travel requests from a user;

[1864] natural language processing means for analyzing the received requests;

[1865] A means for generating a plurality of travel plans based on the results of the analysis by natural language processing;

[1866] means for presenting the generated travel plan to a user;

[1867] A means for creating a detailed travel plan based on a plan selected by the user from the travel plans presented;

[1868] means for notifying the user of the created detailed travel plan;

[1869] A means of tracking the user's location and schedule in real time while traveling;

[1870] A way to analyze location information in real time to provide the nearest landmarks and directions,

[1871] A means of providing guidance and interpretation services during travel;

[1872] A means of collecting feedback from users after the trip and analyzing the collected feedback.

[1873] A system including:

[1874] (Claim 2)

[1875] 10. The system of claim 1, further comprising means for generating a travel plan based on user preferences using the generative AI model.

[1876] (Claim 3)

[1877] 10. The system of claim 1, further comprising means for inputting a generative AI model with prompt statements to generate a travel plan.

[1878] "Application Example 1"

[1879] (Claim 1)

[1880] A means for receiving travel requests from a user;

[1881] means for generating a plurality of travel plans based on the received preferences;

[1882] means for presenting the generated travel plan to a user;

[1883] A means for creating a detailed travel plan based on a plan selected by the user from the travel plans presented;

[1884] means for notifying the user of the created detailed travel plan;

[1885] A means for tracking the user's location and schedule while traveling and providing guidance and interpretation services;

[1886] A means of collecting and analyzing feedback from users after the trip is completed;

[1887] A means to accept meal preferences from users, suggest the best restaurants and delivery options based on that information, and provide detailed ordering plans;

[1888] A means to track the progress of your order in real time and provide any necessary notification services;

[1889] A system including:

[1890] (Claim 2)

[1891] 2. The system according to claim 1, further comprising means for analyzing user input data using natural language processing.

[1892] (Claim 3)

[1893] 10. The system of claim 1, further comprising means for analyzing the user's location information in real time during the trip and providing the nearest landmarks and directions.

[1894] "Example 2: Combining Emotion Engines"

[1895] (Claim 1)

[1896] A means for receiving travel requests from a user;

[1897] means for generating a plurality of travel plans based on the received preferences;

[1898] means for presenting the generated travel plan to a user;

[1899] A means for creating a detailed travel plan based on a plan selected by the user from the travel plans presented;

[1900] means for notifying the user of the created detailed travel plan;

[1901] A means for tracking the user's location and schedule while traveling and providing guidance and interpretation services;

[1902] A means of collecting and analyzing feedback from users after the trip is completed;

[1903] A means for analyzing the user's emotions in real time and providing assistance based on the emotions;

[1904] A system including:

[1905] (Claim 2)

[1906] 2. The system of claim 1, further comprising: means for analyzing user input data using natural language processing; and means for recognizing the user's emotional state using emotion analysis techniques.

[1907] (Claim 3)

[1908] 10. The system of claim 1, further comprising means for analyzing the user's location information and emotional state in real time during the trip and providing appropriate assistance based thereon.

[1909] "Application example 2 when combining emotion engines"

[1910] (Claim 1)

[1911] A means for receiving travel requests from a user;

[1912] means for generating a plurality of travel plans based on the received preferences;

[1913] means for presenting the generated travel plan to a user;

[1914] A means for creating a detailed travel plan based on a plan selected by the user from the travel plans presented;

[1915] means for notifying the user of the created detailed travel plan;

[1916] A means for tracking the user's location and schedule while traveling and providing guidance and interpretation services;

[1917] A means of collecting and analyzing feedback from users after the trip is completed;

[1918] A means for recognizing a user's emotions in real time and providing appropriate support based on the emotions;

[1919] A means of recommending content based on your current emotional state

[1920] A system including:

[1921] (Claim 2)

[1922] 2. The system according to claim 1, further comprising means for analyzing user input data using natural language processing.

[1923] (Claim 3)

[1924] 10. The system of claim 1, further comprising means for analyzing the user's location information in real time during the trip and providing the nearest landmarks and directions.

[1925] (Claim 4)

[1926] 10. The system of claim 1, further comprising means for analyzing the emotional state of the user and recommending content based on the emotion.

[1927] (Claim 5)

[1928] The system of claim 1, further comprising means for generating content according to a user's wishes using prompt sentences to the generative AI model. [Explanation of symbols]

[1929] 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 receiving travel requests from a user; means for generating a plurality of travel plans based on the received preferences; means for presenting the generated travel plan to a user; A means for creating a detailed travel plan based on a plan selected by the user from the travel plans presented; means for notifying the user of the created detailed travel plan; A means for tracking the user's location and schedule while traveling and providing guidance and interpretation services; A means of collecting and analyzing feedback from users after their trip is completed A system including:

2. 2. The system according to claim 1, further comprising means for analyzing the user's input data by natural language processing.

3. The system of claim 1, further comprising means for analyzing the user's location information in real time during the trip and providing the nearest landmarks and directions.

Images