system

Abstract

Provide a system. An input means for inputting travel preferences and desired details from a user; a transmitting means for transmitting the data input by the input means to a server; a plan generation means for receiving the data and generating a personalized travel plan using an AI model; a video generation means for generating an image video based on the generated travel plan; a receiving means for transmitting the generated video to a user terminal; a playback means for playing back the video received by the terminal; A system including:

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] Conventional systems that provide individually customized travel plans tend to require manual handling of a wide range of user requests, resulting in extremely high labor costs. As a result, individual customization, especially from major travel agencies, is extremely expensive, making it difficult for many users to use. It is also difficult for users to get a concrete image of their trip, making it difficult for them to make satisfactory choices during the planning stage. There is a need for a system that can solve these issues, reduce costs, and quickly provide travel plans that meet users' diverse needs. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems with a system including an input means for inputting a user's travel preferences and wishes, a transmission means for transmitting the data input by the input means to a server, a plan generation means for receiving the data and generating a personalized travel plan using an AI model, a video generation means for generating an image video based on the generated travel plan, a reception means for transmitting the generated video to the user's device, and a playback means for playing the video received on the device. In particular, the AI ​​model uses natural language processing technology to analyze the user's input data and generate an appropriate travel plan, thereby quickly and efficiently meeting various user needs. Furthermore, the video generation means automatically selects images, video clips, and music corresponding to the travel plan to generate the video, allowing the user to visually confirm specific travel images and make satisfactory choices during the travel planning stage.

[0006] "User" means an individual who uses the System to input their preferences and wishes to create a travel plan.

[0007] "Input means" refers to the interface (e.g., a smartphone or PC application or web form) through which a user selects or inputs their travel preferences and wishes.

[0008] The "transmission means" refers to a communication means (for example, a communication protocol via the Internet) for transferring data input by the input means to a server.

[0009] "Server" refers to the computer system that receives data sent by users and generates travel plans using an AI model.

[0010] "Plan generation means" refers to a mechanism that uses an AI model installed in the server to analyze the user's input data and generate an appropriate travel plan.

[0011] An "AI model" refers to an algorithm or program that uses machine learning and natural language processing techniques to generate travel plans.

[0012] The "video generation means" refers to a mechanism that creates a video of the trip by combining photos, video clips, music, etc. based on the generated travel plan.

[0013] "Receiving means" refers to a communication means for transmitting and receiving the video and related data generated from the server to the user terminal.

[0014] "Playback means" refers to the functions or software that allow users to play the videos they receive on their devices. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0023] [First embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] This invention is a system that allows users to input their travel preferences and wishes, uses AI to generate personalized travel plans based on that information, and provides an image video based on that plan. The system includes input means, transmission means, plan generation means, video generation means, reception means, and playback means.

[0037] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0038] The terminal then converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol.

[0039] The server parses the data received at the API endpoint to obtain the user's selections and preferences. The obtained data is then passed to the AI ​​model. The AI ​​model uses natural language processing technology to analyze the user's input data, selects appropriate tourist spots and activities from a database, and generates a travel plan. For example, a specific travel plan such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home" may be created based on the user's needs.

[0040] Next, the server creates an image video based on the generated travel plan using a video generation means. This video generation means automatically selects photos, video clips, music, etc. related to the travel plan and combines them in a timeline format to create a professional video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0041] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0042] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and inputs "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's AI model generates a specific travel plan: "Visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0043] This invention makes it possible to utilize AI technology instead of expensive customized tours, and to provide travel plans that meet the diverse needs of users quickly and at low cost.

[0044] The processing flow will be explained below.

[0045] Step 1: User Input

[0046] The user accesses a dedicated application or website on their device (smartphone or PC).

[0047] The user selects their travel preferences in the displayed form, for example, "an extraordinary experience" and "experiencing the local culture."

[0048] The user enters details of the desired trip (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") into a text box.

[0049] The user presses the "Submit" button to complete the input.

[0050] Step 2: Send data

[0051] The terminal takes the data entered by the user and converts it into JSON format.

[0052] The device uses the HTTPS protocol to send JSON data to the server's API endpoint.

[0053] Step 3: Receiving data

[0054] The server parses the JSON data received at the API endpoint to obtain the user's selections and text inputs.

[0055] Step 4: Generate a plan

[0056] The server passes the acquired data to the AI ​​model.

[0057] The AI ​​model uses natural language processing technology to analyze user input and select appropriate tourist spots, activities, accommodations, etc. from a database.

[0058] For example, generate a travel plan such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0059] The server stores the generated travel plan in a database.

[0060] Step 5: Video Generation

[0061] The server acquires the stored travel plan data and passes it to the video generating means.

[0062] The video generator automatically selects photos, video clips and music related to the travel plan and combines them in a timeline format.

[0063] Create videos that evoke travel images, such as those featuring the pyramids, the Sphinx, and traditional cooking classes.

[0064] The generated video file is saved on the server.

[0065] Step 6: Send your video

[0066] The server creates a URL for the generated video and sends a JSON response containing that URL to the device.

[0067] If necessary, prepare to distribute the video file itself in streaming format.

[0068] Step 7: Play the video

[0069] The device parses the JSON response received from the server to obtain the video URL.

[0070] Launch the video player and stream the video from the URL obtained.

[0071] The user watches an image video of the travel plan on the terminal and checks the specific details of the trip.

[0072] Example 1

[0073] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0074] Conventional travel plan creation systems have had difficulty quickly and efficiently generating travel plans that reflect a user's individual preferences and wishes. Furthermore, the means by which users can visually check specific travel plans are limited, making travel planning extremely time-consuming and labor-intensive. Therefore, there has been a demand for a system that can quickly respond to users' needs and easily provide visually appealing travel plans.

[0075] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0076] In this invention, the server includes an input means for inputting a user's preferences and wishes regarding a trip, a transmission means for converting the data input by the input means into JSON format and transmitting the converted data to the server, a plan generation means for receiving the data and generating an individual travel plan using an AI model, a video generation means for generating a video from photos, video clips, and music based on the generated travel plan, a reception means for transmitting the generated video to the user's device, and a playback means for playing the received video on the device. This allows for the generation of attractive travel plans that meet a variety of user needs and allows users to visually confirm the plans.

[0077] The "input means" is an interface that allows the user to input their preferences and wishes regarding the trip.

[0078] The "transmission means" is a system component that converts data entered by the input means into JSON format and transmits it to the server.

[0079] The "plan generation means" is a function that analyzes the received data using an AI model and generates an individual travel plan based on the user's preferences and wishes.

[0080] The "video generation means" is a mechanism for generating an image video from related photos, video clips, and music based on the generated travel plan.

[0081] The "receiving means" is a system element for transmitting the generated video to the user's terminal and receiving it at the terminal.

[0082] "Playback means" refers to a function or device for playing back video received on a user's terminal.

[0083] An "AI model" is an algorithm or learning model that uses artificial intelligence technology to analyze data and natural language processing technology to generate appropriate travel plans based on user input data.

[0084] "JSON format" is an abbreviation for JavaScript (registered trademark) Object Notation, and is a lightweight data exchange format for describing data in text format.

[0085] The "HTTPS protocol" is an abbreviation for Hypertext Transfer Protocol Secure, and is a communication protocol for securely sending and receiving data.

[0086] "Video" is a dynamic visual and audio medium that combines multiple still images, video clips, and music.

[0087] This invention is a system that allows users to input their travel preferences and wishes, uses AI to generate personalized travel plans based on that information, and provides an image video based on that plan. The system includes input means, transmission means, plan generation means, video generation means, reception means, and playback means.

[0088] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0089] Next, the device converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol. The server parses the data received at the API endpoint to obtain the user's selections and preferences. The obtained data is passed to an AI model (e.g., GPT-4 (registered trademark) or BERT). The AI ​​model uses natural language processing technology to analyze the user's input data, selects appropriate tourist spots and activities from a database, and generates a travel plan. For example, a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and take a cooking class at a local home" may be created based on the user's needs.

[0090] Next, the server creates an image video based on the generated travel plan using a video generation means. This video generation means automatically selects photos, video clips, music, etc. related to the travel plan and combines them in a timeline format to create a professional video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0091] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0092] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and inputs "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's AI model generates a specific travel plan: "Visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0093] Examples of prompts include:

[0094] "Please tell me a good value travel plan."

[0095] "I'm looking for a trip that will give me an extraordinary experience. Can you recommend a plan?"

[0096] "Please suggest a travel plan that allows me to experience the local culture."

[0097] "I'd like to travel to ancient ruins and enjoy local traditional cuisine. Please tell me your plans."

[0098] This invention makes it possible to utilize AI technology instead of expensive customized tours, and to provide travel plans that meet the diverse needs of users quickly and at low cost.

[0099] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0100] Step 1:

[0101] The user uses a device (smartphone or PC) to access a dedicated application or a form on a website. The form displays multiple options related to travel. The user selects their preferences from options such as "value for money," "extraordinary experience," and "experiencing the local culture," and enters their specific wishes in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine"). The input data becomes the output of this step.

[0102] Step 2:

[0103] The terminal converts the data entered by the user into JSON format. During this data processing, the selected items and entered text are properly structured as key-value pairs. The converted JSON data is the output of this step.

[0104] Step 3:

[0105] The terminal sends the converted JSON data to the server's API endpoint using the HTTPS protocol. During this transmission process, the data is encrypted and arrives securely at the server. The data sent via the HTTPS protocol is the output of this step.

[0106] Step 4:

[0107] The server parses the JSON data received at the API endpoint. First, it verifies whether the received data is in the correct format. Next, it extracts the user's choices and preferences. During this parsing process, it finds the corresponding options in the database. The extracted choices and preferences are the output of this step.

[0108] Step 5:

[0109] The server inputs the extracted selections and desired content into an AI model (e.g., GPT-4 or BERT). The AI ​​model uses natural language processing techniques to analyze the input data and search a database for suitable tourist spots and activities. Based on this, it generates a specific itinerary. The generated itinerary is the output of this step.

[0110] Step 6:

[0111] The server uses a video generation means to create an image video based on the generated travel plan. This video generation means automatically selects photos, video clips, music, etc. related to the plan and combines these materials in a timeline format to generate a video. The generated video file is the output of this step.

[0112] Step 7:

[0113] The server sends the generated video file to the user's device. The HTTPS protocol is used again during the transmission process to ensure the data arrives securely. The transmitted video file is the output of this step.

[0114] Step 8:

[0115] The device saves the received video file and plays it using the built-in playback means. The user watches the video and checks whether the proposed travel plan matches their preferences. The video viewing result is the output of this step.

[0116] (Application example 1)

[0117] 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."

[0118] Conventional food delivery services have difficulty quickly and appropriately providing individual meal plans that take into account users' food preferences and allergy information. Furthermore, they lack a means to efficiently convey specific cooking instructions and ingredient descriptions based on the meal plan selected by the user. This makes it difficult to provide a satisfying, customized dining experience.

[0119] 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.

[0120] In this invention, the server includes an input means for inputting preferences and desired contents from the user, a transmission means for transmitting the data input by the input means to the server, a plan generation means for receiving the data and generating an individual plan using an AI model, a video generation means for generating an image video based on the generated plan, a reception means for transmitting the generated video to the user's terminal, and a playback means for playing the video received on the terminal. This makes it possible to quickly provide an individual meal plan that takes into account the user's preferences and allergy information, and to efficiently convey to the user specific cooking procedures and explanations of ingredients based on the plan.

[0121] "Input means" refers to a device or interface that allows a user to input preferences and desires into the system.

[0122] The "transmission means" is a device or software for transmitting data input by the input means to the server.

[0123] A "plan generation means" is a device or software that uses an AI model to generate an individual plan based on the received data.

[0124] The "moving image generating means" is a device or software that generates an image moving image based on the generated plan.

[0125] The "receiving means" is a device or software for transmitting the generated video to the user's terminal and receiving it at that terminal.

[0126] "Playback means" refers to a device or software for playing back video received by a terminal.

[0127] An "AI model" is an algorithm and data model that uses natural language processing technology to analyze data and generate appropriate plans.

[0128] "Natural language processing technology" is a technology for analyzing and understanding human language and extracting and generating meaningful information.

[0129] The present invention provides a system for generating an individual meal plan based on preferences and desires input by a user, and further provides videos corresponding to the plan. Hereinafter, a detailed description of an embodiment of the present invention will be given.

[0130] First, the user accesses a dedicated application using an input device such as a smartphone or tablet. Here, the user enters their preferences (e.g., "Japanese food," "Italian food," "healthy," etc.) and allergy information (e.g., "nut allergy"), and then adds specific preferences (e.g., "gluten-free," "low-calorie"), which communicates the user's individual needs to the system.

[0131] The input data is then converted to JSON format by a sending means and sent to the server's API endpoint using HTTPS. The server receives the data via a receiving means and analyzes it using an AI model. The AI ​​model uses natural language processing technologies such as GOOGLE TENSOR® FLOW® and OpenAI® to analyze the user's input data and generate a meal plan.

[0132] The plan generation means of the server selects appropriate ingredients and recipes from the database and generates a specific meal plan, for example, "gluten-free pasta and organic salad." The video generation means operates based on this meal plan.

[0133] The video generator then automatically selects video clips containing cooking instructions and ingredient information that correspond to the meal plan, and combines them to generate a professional cooking video, leveraging OpenAI's generative AI model to create prompts and flesh out detailed cooking instructions.

[0134] The generated video is sent from the server to the user's device. The user receives the video on the device and plays it using a playback device. This allows the user to visually check the specific cooking steps and ingredients of the meal plan based on their preferences and allergy information.

[0135] As a concrete example, consider the case where a user selects "Italian" and "gluten-free" and inputs "I have a nut allergy." The device sends this information to a server, and the server's AI model generates a specific meal plan called "gluten-free pasta and organic salad." Based on that plan, a video generator creates a video clip with cooking instructions and sends it to the user's device. The user can watch the video to confirm whether the meal plan meets their needs.

[0136] An example prompt might be, "Can you give me a recipe for a dish using the following ingredients: gluten-free pasta and an organic salad?"

[0137] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0138] Step 1:

[0139] Users use the input means on their smartphone or tablet to input their preferences (e.g., "Italian"), allergy information (e.g., "nut allergy"), and preferences (e.g., "gluten-free") The input data is converted into JSON format for transmission to the system.

[0140] Input: User preferences, allergy information, and desired content

[0141] Output: Input data in JSON format

[0142] Step 2:

[0143] The terminal uses the transmission means to transmit the JSON format data input by the input means to the API endpoint of the server via HTTPS.

[0144] Input: Input data in JSON format

[0145] Output: Data sent to the server via HTTPS protocol

[0146] Step 3:

[0147] The server receives the data via the receiving means and analyzes it using an AI model. The AI ​​model uses natural language processing technology to understand the user's preferences, allergy information, and requests, and then generates a personalized meal plan based on that. This process also includes selecting ingredients and recipes from a database.

[0148] Input: Data via HTTPS

[0149] Output: personalized meal plan

[0150] Step 4:

[0151] The plan generation means of the server uses the analysis results to create a specific meal plan, for example, "gluten-free pasta and organic salad." Next, the video generation means operates based on this meal plan.

[0152] Input: Analysis results

[0153] Output: Specific meal plan

[0154] Step 5:

[0155] The video generator selects video clips containing cooking instructions and ingredient information based on the generated meal plan, and uses OpenAI's generative AI model to create prompts and flesh out detailed cooking instructions, ultimately generating a professional-looking cooking video.

[0156] Input: Specific meal plan

[0157] Output: Cooking videos

[0158] Step 6:

[0159] The generated cooking video is sent to the user's device using a receiving means, and the video is saved in the device.

[0160] Input: cooking video

[0161] Output: Video stored on the user's device

[0162] Step 7:

[0163] The user plays the received cooking video using the playback means of the device, allowing the user to visually check the specific cooking steps and ingredients of the meal plan based on their preferences and allergy information.

[0164] Input: Video stored on the user's device

[0165] Output: Cooking video played

[0166] This allows users to easily obtain individual meal plans and check their details.

[0167] 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.

[0168] This invention is a system that allows a user to input travel preferences and wishes, generates an individual travel plan based on that information using an emotion engine and AI technology, and provides an image video based on that plan. This system includes input means, transmission means, emotion engine, plan generation means, video generation means, receiving means, and playback means.

[0169] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0170] The terminal then converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol.

[0171] The server parses the data received at the API endpoint to obtain the user's selections and preferences. This data is then passed to the emotion engine, which analyzes the user's text to determine their emotions. For example, if positive emotions such as "excitement," "anticipation," or "surprise" are detected, the server will suggest plans that include experiences and activities that match those emotions.

[0172] After the emotion engine analyzes emotions, the results are passed to the plan generator, which uses an AI model to generate a travel plan based on the emotion analysis results and the user's selection. For example, it creates a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and take a cooking class at a local home."

[0173] The server then uses a video generator to create an image video based on the generated travel plan. The video generator automatically selects photos, video clips, and music related to the travel plan and combines them in a timeline format to create a professional-looking video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0174] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0175] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's emotion engine analyzes positive emotions from the user's text. Based on this result and the selected preferences, the server's AI model generates a specific travel plan: "Visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0176] This invention makes it possible to utilize AI and emotion analysis technology to provide travel plans that respond to users' diverse needs and emotions quickly and at low cost, instead of expensive customized travel plans.

[0177] The processing flow will be explained below.

[0178] Step 1: User Input

[0179] The user accesses a dedicated application or website on their device (smartphone or PC).

[0180] The user selects their travel preferences in the displayed form, for example, "an extraordinary experience" and "experiencing the local culture."

[0181] The user enters details of the desired trip (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") into a text box.

[0182] The user presses the "Submit" button to complete the input.

[0183] Step 2: Send data

[0184] The terminal takes the data entered by the user and converts it into JSON format.

[0185] The device uses the HTTPS protocol to send JSON data to the server's API endpoint.

[0186] Step 3: Receiving data

[0187] The server parses the JSON data received at the API endpoint to obtain the user's selections and text inputs.

[0188] Step 4: Sentiment Analysis

[0189] The server passes the acquired user data to the emotion engine.

[0190] The emotion engine analyzes the user's text data and detects emotions (e.g., "excitement," "anticipation," etc.).

[0191] The detected emotion data is passed to the plan generation means.

[0192] Step 5: Generate a plan

[0193] The server's plan generation means generates a travel plan using an AI model based on the analysis results of the emotion engine and the user's selection data.

[0194] For example, a specific travel plan might be created, such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0195] The server stores this generated itinerary in a database.

[0196] Step 6: Video Generation

[0197] The server acquires the stored travel plan data and passes it to the video generating means.

[0198] The video generator automatically selects photos, video clips and music related to the travel plan and combines them in a timeline format.

[0199] Create videos that evoke travel images, such as those featuring the pyramids, the Sphinx, and traditional cooking classes.

[0200] The generated video file is saved on the server.

[0201] Step 7: Send your video

[0202] The server creates a URL for the generated video and sends a JSON response containing that URL to the device.

[0203] If necessary, prepare to distribute the video file itself in streaming format.

[0204] Step 8: Play the video

[0205] The device parses the JSON response received from the server to obtain the video URL.

[0206] Launch the video player and stream the video from the URL obtained.

[0207] The user watches an image video of the travel plan on the terminal and checks the specific details of the trip.

[0208] Example 2

[0209] 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."

[0210] Conventional travel plan generation systems could only provide a uniform plan based on the travel preferences and wishes entered by the user, making it difficult to respond to the emotions and detailed wishes of individual users. Furthermore, the means of confirming travel plans were limited to text and still images, making it difficult for users to actually visualize their travel destinations. This meant that users were unable to select a travel plan that completely satisfied them, resulting in a decrease in satisfaction with the travel plan itself.

[0211] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0212] In this invention, the server includes emotion analysis means for analyzing emotions from a user's text using emotion analysis technology, plan generation means for generating an individual travel plan based on the emotion data analyzed by the emotion analysis means and the user's preferences, and video generation means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video. This makes it possible to generate an individual travel plan that corresponds to the user's specific preferences and emotions and provide it as an image video that can be visually confirmed.

[0213] The "input means" is a means for the user to input travel preferences and desired details.

[0214] The "transmission means" is a means for transmitting data input by the input means to the server.

[0215] "Sentiment analysis means" means for receiving data and analyzing emotions from a user's text using sentiment analysis techniques.

[0216] The "plan generating means" is a means for generating an individual travel plan based on the emotion data analyzed by the emotion analyzing means and the user's preferences.

[0217] The "video generating means" is a means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video.

[0218] The "receiving means" is a means for transmitting the generated video to the user's terminal.

[0219] The "playback means" is a means for playing back the video received by the terminal.

[0220] A "generative AI model" is a model that uses artificial intelligence technology to analyze and process user input data and generate appropriate travel plans.

[0221] A "prompt sentence" is an instruction sentence or question sentence that prompts the user to make a specific input or response.

[0222] This invention is a system that allows a user to input their travel preferences and wishes, generates an individual travel plan based on that information using emotion analysis technology and a generative AI model, and provides an image video based on that plan. This system includes input means, transmission means, emotion analysis means, plan generation means, video generation means, reception means, and playback means.

[0223] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0224] Next, the device converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol. The device generates and sends JSON data in the format "{"preference1": "An extraordinary feeling", "preference2": "Experience the local culture", "request": "I want to take a trip to enjoy ancient ruins and local traditional cuisine"}".

[0225] The server parses the data received at the API endpoint and obtains the user's selections and desired content. This data is passed to a sentiment analysis means, which analyzes emotions from the user's text. For example, if positive emotions such as "excitement," "anticipation," or "surprise" are detected, the server will propose a plan that includes experiences and activities that match those emotions. For example, the server analyzes a desired content such as "I want to visit ancient ruins" and detects positive emotions such as "excitement" and "anticipation."

[0226] After the emotion analysis means analyzes the emotions, the results are passed to the plan generation means. The plan generation means uses a generative AI model to generate a travel plan based on the emotion analysis results and the user's selection. For example, it creates a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0227] Next, the server uses a video generation means to create an image video based on the generated travel plan. The video generation means automatically selects photos, video clips, and music related to the travel plan and combines them in a timeline format to create a professional video. The server's operation generates a video that includes scenes of the pyramids, the Sphinx, and a traditional cooking class, for example.

[0228] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0229] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's emotion analysis means analyzes positive emotions from the user's text. Based on this result and the selected preferences, the server's generative AI model generates a specific travel plan: "Visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0230] An example of a prompt is, "Tell us about your travel goals and preferences. What kind of experience are you hoping to have? For example, please describe your specific wishes, such as, 'I would like to take a trip to enjoy ancient ruins and local traditional cuisine.'"

[0231] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0232] Step 1:

[0233] User data entry

[0234] Users access their device through a dedicated application or website, select their travel preferences in the displayed form (e.g., "value for money," "extraordinary," "experiencing local culture," etc.), and enter specific requests in a text box (e.g., "I'd like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0235] Input: Travel preferences and specific requests

[0236] Output: User input data

[0237] Specific behavior:

[0238] The user selects "an extraordinary feeling" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine" in the text box.

[0239] Step 2:

[0240] Sending data

[0241] The terminal converts the data entered by the user into JSON format and sends this JSON data to the server's API endpoint using the HTTPS protocol.

[0242] Input: User-entered data

[0243] Output: JSON formatted data

[0244] Specific behavior:

[0245] The device generates JSON data in the format "{"preference1": "An extraordinary feeling", "preference2": "Experience the local culture", "request": "I want to take a trip to enjoy ancient ruins and local traditional cuisine"}" and sends it to the server.

[0246] Step 3:

[0247] Data reception and analysis

[0248] The server parses the JSON data received at the API endpoint to obtain the user's selections and preferences. This data is passed to a sentiment analyzer, which analyzes the user's text to determine their emotions. If a positive emotion (e.g., "excitement," "anticipation," "surprise," etc.) is detected, the server proposes a plan that includes experiences and activities that match that emotion.

[0249] Input: JSON format data

[0250] Output: Sentiment analysis results and basic data of the user's travel plan

[0251] Specific behavior:

[0252] The server analyzes the request, such as "I want to take a trip to enjoy ancient ruins and local traditional cuisine," and detects positive emotions such as "excitement" and "anticipation."

[0253] Step 4:

[0254] Generate a travel plan

[0255] The server uses a plan generation method based on the emotion analysis results and user selection data to generate a travel plan using a generative AI model. As a specific example, it creates a travel plan to "visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0256] Input: Sentiment analysis results and basic data of user's travel plans

[0257] Output: A detailed itinerary

[0258] Specific behavior:

[0259] Based on the results of the sentiment analysis, the server generates a specific travel plan: "Visit the Pyramids and Sphinx in Cairo, Egypt, and take a cooking class at a local home."

[0260] Step 5:

[0261] Image video generation

[0262] The server uses a video generation means based on the generated travel plan to select related images, video clips, and music, and combines them in a timeline format to generate an image video.

[0263] Input: Specific travel plans

[0264] Output: Image video

[0265] Specific behavior:

[0266] The server generates videos that include scenes of the pyramids, the Sphinx, and a traditional cooking class.

[0267] Step 6:

[0268] Video transmission and playback

[0269] The server sends the generated video to the user's device using the HTTPS protocol, and the device stores the received video and plays it back to the user using its built-in playback mechanism.

[0270] Input: Image video

[0271] Output: Video played on the user's device

[0272] Specific behavior:

[0273] The device receives the video, and the user plays it to visually see the pyramids, the Sphinx, and a traditional cooking class.

[0274] An example of a prompt is, "Tell us about your travel goals and preferences. What kind of experience are you hoping to have? Please describe your specific wishes, such as, 'I would like to take a trip to enjoy ancient ruins and local traditional cuisine.'"

[0275] (Application example 2)

[0276] 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."

[0277] Conventional travel plan creation systems have made it difficult for users to visualize specific travel plans that meet their needs. Furthermore, they have been unable to generate travel plans that fully reflect the user's emotions and detailed requests. This makes it difficult to provide travel plans that satisfy the user, and it has been impossible to increase satisfaction in the pre-trip planning stage.

[0278] 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.

[0279] In this invention, the server includes an input means for inputting the user's travel preferences and wishes, a transmission means for transmitting the data input by the input means to the server, a sentiment analysis means for receiving the data and analyzing the user's emotions using a sentiment analysis engine, a plan generation means for receiving the sentiment analysis results and generating an individual travel plan using a generative AI model, a video generation means for generating an image video based on the generated travel plan, a receiving means for transmitting the generated video to the user's terminal, and a playback means for playing the video received on the terminal. This makes it possible to propose a travel plan that reflects the user's emotions and wishes and to generate an image video based on it.

[0280] "User" refers to any individual or organization that uses this system.

[0281] "Travel preferences" refers to a set of characteristics or conditions that a user desires in a trip.

[0282] "Desired content" refers to the details of the trip that the user specifically wants to experience.

[0283] "Input means" refers to an interface that allows a user to input travel preferences and wishes.

[0284] The "transmission means" refers to a function for transmitting data input by the input means to the server.

[0285] "Emotion analysis means" refers to an engine or algorithm for analyzing emotions from user input data.

[0286] "Sentiment analysis engine" refers to a system that uses artificial intelligence models to identify emotions from user input data.

[0287] A "generative AI model" refers to an artificial intelligence model that generates individual travel plans based on a user's emotions and preferences.

[0288] "Plan generation means" refers to the function that creates individual travel plans using a generative AI model.

[0289] "Video generation means" refers to a function that generates a video based on the generated travel plan.

[0290] "Image Video" refers to a professional video that combines images, video clips, and music related to a travel plan.

[0291] "Receiving means" refers to a function for transmitting the generated video to the user's terminal.

[0292] "Playback means" refers to a function for playing back video received on a user's terminal.

[0293] "Terminal" refers to devices used by users, such as smartphones, tablets, and PCs.

[0294] A "prompt sentence" refers to an input sentence that provides the generative AI model with the information it needs to generate a travel plan.

[0295] The system for implementing this invention allows users to input their travel preferences and wishes, and then generates a personalized travel plan based on that information using a sentiment analysis engine and a generative AI model, and then provides an image video based on that plan. Specific embodiments of this system are described below.

[0296] Program processing overview

[0297] User Input and Data Submission

[0298] The user inputs their travel preferences (e.g., "an extraordinary feeling" or "experiencing the local culture") and specific requests (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") using the input means of the terminal. The input data is then sent to the server by the transmission means.

[0299] Sentiment Analysis and Plan Generation

[0300] The process on the server side is as follows: First, the received data is passed to the sentiment analysis means, which analyzes the sentiment of the user's input. This sentiment analysis means uses a sentiment analysis engine that uses an advanced natural language processing library (e.g., transformers).

[0301] The analysis results are then fed into a generative AI model (e.g., a GPT-based model), which generates a personalized itinerary based on a prompt. The prompt is an input statement that provides the AI ​​model with the necessary information, such as:

[0302] Prompt Sentence Examples

[0303] "My travel preferences are for an out-of-the-ordinary experience and experiencing the culture of the local people. Specifically, I would like to travel to ancient ruins and enjoy local traditional cuisine."

[0304] Image video generation and distribution

[0305] The generated travel plan is passed to a video generator, which automatically selects images, video clips, and music to match the plan and creates a professional-looking video. For example, the "moviepy" library is used for this video generation.

[0306] Finally, the image video created by the video generation means is sent to the user's terminal through the receiving means. By playing back this video on the user's terminal using the playback means, the user can visually confirm the specific image of the trip.

[0307] Hardware and software used

[0308] Input method: Smartphone, tablet, PC, etc.

[0309] Transmission method: Network communication using the HTTPS protocol

[0310] Sentiment analysis engine: Natural language processing library (e.g., transformers)

[0311] Generative AI model: Generative AI model (e.g., GPT-based model)

[0312] Video generation method: Video editing library (e.g. moviepy)

[0313] Receiving means: Network communication function

[0314] Playback method: Video player

[0315] In this way, by combining emotion analysis with generative AI models, it becomes possible to provide users with travel plans and image videos that match their specific emotions and wishes, making their travel plans even more appealing.

[0316] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0317] Step 1:

[0318] The user inputs their travel preferences and specific wishes using the device's input means. The input data reflects the user's travel wishes and preferences and is saved on the device as specific text information. Smartphones, tablets, PCs, etc. are used as input means. The input data includes preferences such as "an extraordinary feeling" and "experiencing the culture of the local people," as well as specific wishes such as "I would like to take a trip where I can enjoy ancient ruins and local traditional cuisine."

[0319] Step 2:

[0320] The device sends the entered travel preferences and desired details to the server using the HTTPS protocol. The data is formatted in a standardized format such as JSON. Once the data reaches the server via the transmission medium, it is passed to a sentiment analysis engine.

[0321] Step 3:

[0322] The server analyzes the received data using sentiment analysis. Specifically, it uses natural language processing libraries (e.g., transformers) to extract emotions from the input text. This process identifies emotions such as "excitement," "expectation," and "surprise," and generates meta-information based on the user's emotions. The analysis results are output as numerical data or labels corresponding to the emotions.

[0323] Step 4:

[0324] The server inputs the emotion analysis results obtained by the emotion analysis means into a generative AI model. This generative AI model (e.g., a GPT-based model) extracts the user's travel preferences based on the prompt text and generates an appropriate travel plan. This prompt text includes the user's preferences, wishes, and emotion analysis results. For example, the prompt text might be input in the form, "My travel preferences are for an extraordinary experience and experiencing the culture of the local people. Specifically, I would like to take a trip to ancient ruins and enjoy local traditional cuisine." During this process, the AI ​​model suggests appropriate travel destinations and activities.

[0325] Step 5:

[0326] The specific travel plan generated by the generative AI model is passed to the video generation means. The video generation means automatically selects and edits images, video clips, and music according to the travel plan, and generates a professional image video using a video editing library (e.g., moviepy). This video includes visual elements related to the travel plan and is configured to allow the user to visualize the travel plan in detail.

[0327] Step 6:

[0328] The server uses the receiving means to transmit the image video generated by the video generation means to the user's terminal. At this point, the video is securely transmitted using the HTTPS protocol. The user can then view the received video using the playback means of the terminal.

[0329] Step 7:

[0330] The user watches the video played on the device and checks the details of the specific travel plan. This allows the user to visually check in advance whether the travel plan is satisfactory and gives them a more concrete image of the trip. Once this process is complete, the user will have a travel plan that reflects their emotions and wishes.

[0331] 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.

[0332] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0333] 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.

[0334] [Second embodiment]

[0335] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0336] 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.

[0337] 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).

[0338] 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.

[0339] 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.

[0340] 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).

[0341] 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.

[0342] 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.

[0343] 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.

[0344] 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.

[0345] 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.

[0346] 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."

[0347] This invention is a system that allows users to input their travel preferences and wishes, uses AI to generate personalized travel plans based on that information, and provides an image video based on that plan. The system includes input means, transmission means, plan generation means, video generation means, reception means, and playback means.

[0348] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0349] The terminal then converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol.

[0350] The server parses the data received at the API endpoint to obtain the user's selections and preferences. The obtained data is then passed to the AI ​​model. The AI ​​model uses natural language processing technology to analyze the user's input data, selects appropriate tourist spots and activities from a database, and generates a travel plan. For example, a specific travel plan such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home" may be created based on the user's needs.

[0351] Next, the server creates an image video based on the generated travel plan using a video generation means. This video generation means automatically selects photos, video clips, music, etc. related to the travel plan and combines them in a timeline format to create a professional video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0352] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0353] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and inputs "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's AI model generates a specific travel plan: "Visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0354] This invention makes it possible to utilize AI technology instead of expensive customized tours, and to provide travel plans that meet the diverse needs of users quickly and at low cost.

[0355] The processing flow will be explained below.

[0356] Step 1: User Input

[0357] The user accesses a dedicated application or website on their device (smartphone or PC).

[0358] The user selects their travel preferences in the displayed form, for example, "an extraordinary experience" and "experiencing the local culture."

[0359] The user enters details of the desired trip (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") into a text box.

[0360] The user presses the "Submit" button to complete the input.

[0361] Step 2: Send data

[0362] The terminal takes the data entered by the user and converts it into JSON format.

[0363] The device uses the HTTPS protocol to send JSON data to the server's API endpoint.

[0364] Step 3: Receiving data

[0365] The server parses the JSON data received at the API endpoint to obtain the user's selections and text inputs.

[0366] Step 4: Generate a plan

[0367] The server passes the acquired data to the AI ​​model.

[0368] The AI ​​model uses natural language processing technology to analyze user input and select appropriate tourist spots, activities, accommodations, etc. from a database.

[0369] For example, generate a travel plan such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0370] The server stores the generated travel plan in a database.

[0371] Step 5: Video Generation

[0372] The server acquires the stored travel plan data and passes it to the video generating means.

[0373] The video generator automatically selects photos, video clips and music related to the travel plan and combines them in a timeline format.

[0374] Create videos that evoke travel images, such as those featuring the pyramids, the Sphinx, and traditional cooking classes.

[0375] The generated video file is saved on the server.

[0376] Step 6: Send your video

[0377] The server creates a URL for the generated video and sends a JSON response containing that URL to the device.

[0378] If necessary, prepare to distribute the video file itself in streaming format.

[0379] Step 7: Play the video

[0380] The device parses the JSON response received from the server to obtain the video URL.

[0381] Launch the video player and stream the video from the URL obtained.

[0382] The user watches an image video of the travel plan on the terminal and checks the specific details of the trip.

[0383] Example 1

[0384] 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."

[0385] Conventional travel plan creation systems have had difficulty quickly and efficiently generating travel plans that reflect a user's individual preferences and wishes. Furthermore, the means by which users can visually check specific travel plans are limited, making travel planning extremely time-consuming and labor-intensive. Therefore, there has been a demand for a system that can quickly respond to users' needs and easily provide visually appealing travel plans.

[0386] 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.

[0387] In this invention, the server includes an input means for inputting a user's preferences and wishes regarding a trip, a transmission means for converting the data input by the input means into JSON format and transmitting the converted data to the server, a plan generation means for receiving the data and generating an individual travel plan using an AI model, a video generation means for generating a video from photos, video clips, and music based on the generated travel plan, a reception means for transmitting the generated video to the user's device, and a playback means for playing the received video on the device. This allows for the generation of attractive travel plans that meet a variety of user needs and allows users to visually confirm the plans.

[0388] The "input means" is an interface that allows the user to input their preferences and wishes regarding the trip.

[0389] The "transmission means" is a system component that converts data entered by the input means into JSON format and transmits it to the server.

[0390] The "plan generation means" is a function that analyzes the received data using an AI model and generates an individual travel plan based on the user's preferences and wishes.

[0391] The "video generation means" is a mechanism for generating an image video from related photos, video clips, and music based on the generated travel plan.

[0392] The "receiving means" is a system element for transmitting the generated video to the user's terminal and receiving it at the terminal.

[0393] "Playback means" refers to a function or device for playing back video received on a user's terminal.

[0394] An "AI model" is an algorithm or learning model that uses artificial intelligence technology to analyze data and natural language processing technology to generate appropriate travel plans based on user input data.

[0395] "JSON format" is an abbreviation for JavaScript Object Notation, and is a lightweight data exchange format for describing data in text format.

[0396] The "HTTPS protocol" is an abbreviation for Hypertext Transfer Protocol Secure, and is a communication protocol for securely sending and receiving data.

[0397] "Video" is a dynamic visual and audio medium that combines multiple still images, video clips, and music.

[0398] This invention is a system that allows users to input their travel preferences and wishes, uses AI to generate personalized travel plans based on that information, and provides an image video based on that plan. The system includes input means, transmission means, plan generation means, video generation means, reception means, and playback means.

[0399] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0400] Next, the device converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol. The server parses the data received at the API endpoint to obtain the user's selections and preferences. The obtained data is passed to an AI model (e.g., GPT-4 or BERT). The AI ​​model uses natural language processing technology to analyze the user's input data, selects appropriate tourist spots and activities from a database, and generates a travel plan. For example, a specific travel plan such as "visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home" may be created based on the user's needs.

[0401] Next, the server creates an image video based on the generated travel plan using a video generation means. This video generation means automatically selects photos, video clips, music, etc. related to the travel plan and combines them in a timeline format to create a professional video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0402] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0403] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and inputs "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's AI model generates a specific travel plan: "Visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0404] Examples of prompts include:

[0405] "Please tell me a good value travel plan."

[0406] "I'm looking for a trip that will give me an extraordinary experience. Can you recommend a plan?"

[0407] "Please suggest a travel plan that allows me to experience the local culture."

[0408] "I'd like to travel to ancient ruins and enjoy local traditional cuisine. Please tell me your plans."

[0409] This invention makes it possible to utilize AI technology instead of expensive customized tours, and to provide travel plans that meet the diverse needs of users quickly and at low cost.

[0410] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0411] Step 1:

[0412] The user uses a device (smartphone or PC) to access a dedicated application or a form on a website. The form displays multiple options related to travel. The user selects their preferences from options such as "value for money," "extraordinary experience," and "experiencing the local culture," and enters their specific wishes in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine"). The input data becomes the output of this step.

[0413] Step 2:

[0414] The terminal converts the data entered by the user into JSON format. During this data processing, the selected items and entered text are properly structured as key-value pairs. The converted JSON data is the output of this step.

[0415] Step 3:

[0416] The terminal sends the converted JSON data to the server's API endpoint using the HTTPS protocol. During this transmission process, the data is encrypted and arrives securely at the server. The data sent via the HTTPS protocol is the output of this step.

[0417] Step 4:

[0418] The server parses the JSON data received at the API endpoint. First, it verifies whether the received data is in the correct format. Next, it extracts the user's choices and preferences. During this parsing process, it finds the corresponding options in the database. The extracted choices and preferences are the output of this step.

[0419] Step 5:

[0420] The server inputs the extracted selections and desired content into an AI model (e.g., GPT-4 or BERT). The AI ​​model uses natural language processing techniques to analyze the input data and search a database for suitable tourist spots and activities. Based on this, it generates a specific itinerary. The generated itinerary is the output of this step.

[0421] Step 6:

[0422] The server uses a video generation means to create an image video based on the generated travel plan. This video generation means automatically selects photos, video clips, music, etc. related to the plan and combines these materials in a timeline format to generate a video. The generated video file is the output of this step.

[0423] Step 7:

[0424] The server sends the generated video file to the user's device. The HTTPS protocol is used again during the transmission process to ensure the data arrives securely. The transmitted video file is the output of this step.

[0425] Step 8:

[0426] The device saves the received video file and plays it using the built-in playback means. The user watches the video and checks whether the proposed travel plan matches their preferences. The video viewing result is the output of this step.

[0427] (Application example 1)

[0428] 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."

[0429] Conventional food delivery services have difficulty quickly and appropriately providing individual meal plans that take into account users' food preferences and allergy information. Furthermore, they lack a means to efficiently convey specific cooking instructions and ingredient descriptions based on the meal plan selected by the user. This makes it difficult to provide a satisfying, customized dining experience.

[0430] 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.

[0431] In this invention, the server includes an input means for inputting preferences and desired contents from the user, a transmission means for transmitting the data input by the input means to the server, a plan generation means for receiving the data and generating an individual plan using an AI model, a video generation means for generating an image video based on the generated plan, a reception means for transmitting the generated video to the user's terminal, and a playback means for playing the video received on the terminal. This makes it possible to quickly provide an individual meal plan that takes into account the user's preferences and allergy information, and to efficiently convey to the user specific cooking procedures and explanations of ingredients based on the plan.

[0432] "Input means" refers to a device or interface that allows a user to input preferences and desires into the system.

[0433] The "transmission means" is a device or software for transmitting data input by the input means to the server.

[0434] A "plan generation means" is a device or software that uses an AI model to generate an individual plan based on the received data.

[0435] The "moving image generating means" is a device or software that generates an image moving image based on the generated plan.

[0436] The "receiving means" is a device or software for transmitting the generated video to the user's terminal and receiving it at that terminal.

[0437] "Playback means" refers to a device or software for playing back video received by a terminal.

[0438] An "AI model" is an algorithm and data model that uses natural language processing technology to analyze data and generate appropriate plans.

[0439] "Natural language processing technology" is a technology for analyzing and understanding human language and extracting and generating meaningful information.

[0440] The present invention provides a system for generating an individual meal plan based on preferences and desires input by a user, and further provides videos corresponding to the plan. Hereinafter, a detailed description of an embodiment of the present invention will be given.

[0441] First, the user accesses a dedicated application using an input device such as a smartphone or tablet. Here, the user enters their preferences (e.g., "Japanese food," "Italian food," "healthy," etc.) and allergy information (e.g., "nut allergy"), and then adds specific preferences (e.g., "gluten-free," "low-calorie"), which communicates the user's individual needs to the system.

[0442] The input data is then converted to JSON format by the sending means and sent to the server's API endpoint using HTTPS. The server receives the data using the receiving means and analyzes it using an AI model. The AI ​​model uses natural language processing technologies such as Google® TensorFlow and OpenAI to analyze the user's input data and generate a meal plan.

[0443] The plan generation means of the server selects appropriate ingredients and recipes from the database and generates a specific meal plan, for example, "gluten-free pasta and organic salad." The video generation means operates based on this meal plan.

[0444] The video generator then automatically selects video clips containing cooking instructions and ingredient information that correspond to the meal plan, and combines them to generate a professional cooking video, leveraging OpenAI's generative AI model to create prompts and flesh out detailed cooking instructions.

[0445] The generated video is sent from the server to the user's device. The user receives the video on the device and plays it using a playback device. This allows the user to visually check the specific cooking steps and ingredients of the meal plan based on their preferences and allergy information.

[0446] As a concrete example, consider the case where a user selects "Italian" and "gluten-free" and inputs "I have a nut allergy." The device sends this information to a server, and the server's AI model generates a specific meal plan called "gluten-free pasta and organic salad." Based on that plan, a video generator creates a video clip with cooking instructions and sends it to the user's device. The user can watch the video to confirm whether the meal plan meets their needs.

[0447] An example prompt might be, "Can you give me a recipe for a dish using the following ingredients: gluten-free pasta and an organic salad?"

[0448] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0449] Step 1:

[0450] Users use the input means on their smartphone or tablet to input their preferences (e.g., "Italian"), allergy information (e.g., "nut allergy"), and preferences (e.g., "gluten-free") The input data is converted into JSON format for transmission to the system.

[0451] Input: User preferences, allergy information, and desired content

[0452] Output: Input data in JSON format

[0453] Step 2:

[0454] The terminal uses the transmission means to transmit the JSON format data input by the input means to the API endpoint of the server via HTTPS.

[0455] Input: Input data in JSON format

[0456] Output: Data sent to the server via HTTPS protocol

[0457] Step 3:

[0458] The server receives the data via the receiving means and analyzes it using an AI model. The AI ​​model uses natural language processing technology to understand the user's preferences, allergy information, and requests, and then generates a personalized meal plan based on that. This process also includes selecting ingredients and recipes from a database.

[0459] Input: Data via HTTPS

[0460] Output: personalized meal plan

[0461] Step 4:

[0462] The plan generation means of the server uses the analysis results to create a specific meal plan, for example, "gluten-free pasta and organic salad." Next, the video generation means operates based on this meal plan.

[0463] Input: Analysis results

[0464] Output: Specific meal plan

[0465] Step 5:

[0466] The video generator selects video clips containing cooking instructions and ingredient information based on the generated meal plan, and uses OpenAI's generative AI model to create prompts and flesh out detailed cooking instructions, ultimately generating a professional-looking cooking video.

[0467] Input: Specific meal plan

[0468] Output: Cooking videos

[0469] Step 6:

[0470] The generated cooking video is sent to the user's device using a receiving means, and the video is saved in the device.

[0471] Input: cooking video

[0472] Output: Video stored on the user's device

[0473] Step 7:

[0474] The user plays the received cooking video using the playback means of the device, allowing the user to visually check the specific cooking steps and ingredients of the meal plan based on their preferences and allergy information.

[0475] Input: Video stored on the user's device

[0476] Output: Cooking video played

[0477] This allows users to easily obtain individual meal plans and check their details.

[0478] 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.

[0479] This invention is a system that allows a user to input travel preferences and wishes, generates an individual travel plan based on that information using an emotion engine and AI technology, and provides an image video based on that plan. This system includes input means, transmission means, emotion engine, plan generation means, video generation means, receiving means, and playback means.

[0480] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0481] The terminal then converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol.

[0482] The server parses the data received at the API endpoint to obtain the user's selections and preferences. This data is then passed to the emotion engine, which analyzes the user's text to determine their emotions. For example, if positive emotions such as "excitement," "anticipation," or "surprise" are detected, the server will suggest plans that include experiences and activities that match those emotions.

[0483] After the emotion engine analyzes emotions, the results are passed to the plan generator, which uses an AI model to generate a travel plan based on the emotion analysis results and the user's selection. For example, it creates a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and take a cooking class at a local home."

[0484] The server then uses a video generator to create an image video based on the generated travel plan. The video generator automatically selects photos, video clips, and music related to the travel plan and combines them in a timeline format to create a professional-looking video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0485] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0486] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's emotion engine analyzes positive emotions from the user's text. Based on this result and the selected preferences, the server's AI model generates a specific travel plan: "Visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0487] This invention makes it possible to utilize AI and emotion analysis technology to provide travel plans that respond to users' diverse needs and emotions quickly and at low cost, instead of expensive customized travel plans.

[0488] The processing flow will be explained below.

[0489] Step 1: User Input

[0490] The user accesses a dedicated application or website on their device (smartphone or PC).

[0491] The user selects their travel preferences in the displayed form, for example, "an extraordinary experience" and "experiencing the local culture."

[0492] The user enters details of the desired trip (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") into a text box.

[0493] The user presses the "Submit" button to complete the input.

[0494] Step 2: Send data

[0495] The terminal takes the data entered by the user and converts it into JSON format.

[0496] The device uses the HTTPS protocol to send JSON data to the server's API endpoint.

[0497] Step 3: Receiving data

[0498] The server parses the JSON data received at the API endpoint to obtain the user's selections and text inputs.

[0499] Step 4: Sentiment Analysis

[0500] The server passes the acquired user data to the emotion engine.

[0501] The emotion engine analyzes the user's text data and detects emotions (e.g., "excitement," "anticipation," etc.).

[0502] The detected emotion data is passed to the plan generation means.

[0503] Step 5: Generate a plan

[0504] The server's plan generation means generates a travel plan using an AI model based on the analysis results of the emotion engine and the user's selection data.

[0505] For example, a specific travel plan might be created, such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0506] The server stores this generated itinerary in a database.

[0507] Step 6: Video Generation

[0508] The server acquires the stored travel plan data and passes it to the video generating means.

[0509] The video generator automatically selects photos, video clips and music related to the travel plan and combines them in a timeline format.

[0510] Create videos that evoke travel images, such as those featuring the pyramids, the Sphinx, and traditional cooking classes.

[0511] The generated video file is saved on the server.

[0512] Step 7: Send your video

[0513] The server creates a URL for the generated video and sends a JSON response containing that URL to the device.

[0514] If necessary, prepare to distribute the video file itself in streaming format.

[0515] Step 8: Play the video

[0516] The device parses the JSON response received from the server to obtain the video URL.

[0517] Launch the video player and stream the video from the URL obtained.

[0518] The user watches an image video of the travel plan on the terminal and checks the specific details of the trip.

[0519] Example 2

[0520] 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."

[0521] Conventional travel plan generation systems could only provide a uniform plan based on the travel preferences and wishes entered by the user, making it difficult to respond to the emotions and detailed wishes of individual users. Furthermore, the means of confirming travel plans were limited to text and still images, making it difficult for users to actually visualize their travel destinations. This meant that users were unable to select a travel plan that completely satisfied them, resulting in a decrease in satisfaction with the travel plan itself.

[0522] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0523] In this invention, the server includes emotion analysis means for analyzing emotions from a user's text using emotion analysis technology, plan generation means for generating an individual travel plan based on the emotion data analyzed by the emotion analysis means and the user's preferences, and video generation means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video. This makes it possible to generate an individual travel plan that corresponds to the user's specific preferences and emotions and provide it as an image video that can be visually confirmed.

[0524] The "input means" is a means for the user to input travel preferences and desired details.

[0525] The "transmission means" is a means for transmitting data input by the input means to the server.

[0526] "Sentiment analysis means" means for receiving data and analyzing emotions from a user's text using sentiment analysis techniques.

[0527] The "plan generating means" is a means for generating an individual travel plan based on the emotion data analyzed by the emotion analyzing means and the user's preferences.

[0528] The "video generating means" is a means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video.

[0529] The "receiving means" is a means for transmitting the generated video to the user's terminal.

[0530] The "playback means" is a means for playing back the video received by the terminal.

[0531] A "generative AI model" is a model that uses artificial intelligence technology to analyze and process user input data and generate appropriate travel plans.

[0532] A "prompt sentence" is an instruction sentence or question sentence that prompts the user to make a specific input or response.

[0533] This invention is a system that allows a user to input their travel preferences and wishes, generates an individual travel plan based on that information using emotion analysis technology and a generative AI model, and provides an image video based on that plan. This system includes input means, transmission means, emotion analysis means, plan generation means, video generation means, reception means, and playback means.

[0534] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0535] Next, the device converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol. The device generates and sends JSON data in the format "{"preference1": "An extraordinary feeling", "preference2": "Experience the local culture", "request": "I want to take a trip to enjoy ancient ruins and local traditional cuisine"}".

[0536] The server parses the data received at the API endpoint and obtains the user's selections and desired content. This data is passed to a sentiment analysis means, which analyzes emotions from the user's text. For example, if positive emotions such as "excitement," "anticipation," or "surprise" are detected, the server will propose a plan that includes experiences and activities that match those emotions. For example, the server analyzes a desired content such as "I want to visit ancient ruins" and detects positive emotions such as "excitement" and "anticipation."

[0537] After the emotion analysis means analyzes the emotions, the results are passed to the plan generation means. The plan generation means uses a generative AI model to generate a travel plan based on the emotion analysis results and the user's selection. For example, it creates a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0538] Next, the server uses a video generation means to create an image video based on the generated travel plan. The video generation means automatically selects photos, video clips, and music related to the travel plan and combines them in a timeline format to create a professional video. The server's operation generates a video that includes scenes of the pyramids, the Sphinx, and a traditional cooking class, for example.

[0539] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0540] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's emotion analysis means analyzes positive emotions from the user's text. Based on this result and the selected preferences, the server's generative AI model generates a specific travel plan: "Visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0541] An example of a prompt is, "Tell us about your travel goals and preferences. What kind of experience are you hoping to have? For example, please describe your specific wishes, such as, 'I would like to take a trip to enjoy ancient ruins and local traditional cuisine.'"

[0542] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0543] Step 1:

[0544] User data entry

[0545] Users access their device through a dedicated application or website, select their travel preferences in the displayed form (e.g., "value for money," "extraordinary," "experiencing local culture," etc.), and enter specific requests in a text box (e.g., "I'd like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0546] Input: Travel preferences and specific requests

[0547] Output: User input data

[0548] Specific behavior:

[0549] The user selects "an extraordinary feeling" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine" in the text box.

[0550] Step 2:

[0551] Sending data

[0552] The terminal converts the data entered by the user into JSON format and sends this JSON data to the server's API endpoint using the HTTPS protocol.

[0553] Input: User-entered data

[0554] Output: JSON formatted data

[0555] Specific behavior:

[0556] The device generates JSON data in the format "{"preference1": "An extraordinary feeling", "preference2": "Experience the local culture", "request": "I want to take a trip to enjoy ancient ruins and local traditional cuisine"}" and sends it to the server.

[0557] Step 3:

[0558] Data reception and analysis

[0559] The server parses the JSON data received at the API endpoint to obtain the user's selections and preferences. This data is passed to a sentiment analyzer, which analyzes the user's text to determine their emotions. If a positive emotion (e.g., "excitement," "anticipation," "surprise," etc.) is detected, the server proposes a plan that includes experiences and activities that match that emotion.

[0560] Input: JSON format data

[0561] Output: Sentiment analysis results and basic data of the user's travel plan

[0562] Specific behavior:

[0563] The server analyzes the request, such as "I want to take a trip to enjoy ancient ruins and local traditional cuisine," and detects positive emotions such as "excitement" and "anticipation."

[0564] Step 4:

[0565] Generate a travel plan

[0566] The server uses a plan generation method based on the emotion analysis results and user selection data to generate a travel plan using a generative AI model. As a specific example, it creates a travel plan to "visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0567] Input: Sentiment analysis results and basic data of user's travel plans

[0568] Output: A detailed itinerary

[0569] Specific behavior:

[0570] Based on the results of the sentiment analysis, the server generates a specific travel plan: "Visit the Pyramids and Sphinx in Cairo, Egypt, and take a cooking class at a local home."

[0571] Step 5:

[0572] Image video generation

[0573] The server uses a video generation means based on the generated travel plan to select related images, video clips, and music, and combines them in a timeline format to generate an image video.

[0574] Input: Specific travel plans

[0575] Output: Image video

[0576] Specific behavior:

[0577] The server generates videos that include scenes of the pyramids, the Sphinx, and a traditional cooking class.

[0578] Step 6:

[0579] Video transmission and playback

[0580] The server sends the generated video to the user's device using the HTTPS protocol, and the device stores the received video and plays it back to the user using its built-in playback mechanism.

[0581] Input: Image video

[0582] Output: Video played on the user's device

[0583] Specific behavior:

[0584] The device receives the video, and the user plays it to visually see the pyramids, the Sphinx, and a traditional cooking class.

[0585] An example of a prompt is, "Tell us about your travel goals and preferences. What kind of experience are you hoping to have? Please describe your specific wishes, such as, 'I would like to take a trip to enjoy ancient ruins and local traditional cuisine.'"

[0586] (Application example 2)

[0587] 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."

[0588] Conventional travel plan creation systems have made it difficult for users to visualize specific travel plans that meet their needs. Furthermore, they have been unable to generate travel plans that fully reflect the user's emotions and detailed requests. This makes it difficult to provide travel plans that satisfy the user, and it has been impossible to increase satisfaction in the pre-trip planning stage.

[0589] 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.

[0590] In this invention, the server includes an input means for inputting the user's travel preferences and wishes, a transmission means for transmitting the data input by the input means to the server, a sentiment analysis means for receiving the data and analyzing the user's emotions using a sentiment analysis engine, a plan generation means for receiving the sentiment analysis results and generating an individual travel plan using a generative AI model, a video generation means for generating an image video based on the generated travel plan, a receiving means for transmitting the generated video to the user's terminal, and a playback means for playing the video received on the terminal. This makes it possible to propose a travel plan that reflects the user's emotions and wishes and to generate an image video based on it.

[0591] "User" refers to any individual or organization that uses this system.

[0592] "Travel preferences" refers to a set of characteristics or conditions that a user desires in a trip.

[0593] "Desired content" refers to the details of the trip that the user specifically wants to experience.

[0594] "Input means" refers to an interface that allows a user to input travel preferences and wishes.

[0595] The "transmission means" refers to a function for transmitting data input by the input means to the server.

[0596] "Emotion analysis means" refers to an engine or algorithm for analyzing emotions from user input data.

[0597] "Sentiment analysis engine" refers to a system that uses artificial intelligence models to identify emotions from user input data.

[0598] A "generative AI model" refers to an artificial intelligence model that generates individual travel plans based on a user's emotions and preferences.

[0599] "Plan generation means" refers to the function that creates individual travel plans using a generative AI model.

[0600] "Video generation means" refers to a function that generates a video based on the generated travel plan.

[0601] "Image Video" refers to a professional video that combines images, video clips, and music related to a travel plan.

[0602] "Receiving means" refers to a function for transmitting the generated video to the user's terminal.

[0603] "Playback means" refers to a function for playing back video received on a user's terminal.

[0604] "Terminal" refers to devices used by users, such as smartphones, tablets, and PCs.

[0605] A "prompt sentence" refers to an input sentence that provides the generative AI model with the information it needs to generate a travel plan.

[0606] The system for implementing this invention allows users to input their travel preferences and wishes, and then generates a personalized travel plan based on that information using a sentiment analysis engine and a generative AI model, and then provides an image video based on that plan. Specific embodiments of this system are described below.

[0607] Program processing overview

[0608] User Input and Data Submission

[0609] The user inputs their travel preferences (e.g., "an extraordinary feeling" or "experiencing the local culture") and specific requests (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") using the input means of the terminal. The input data is then sent to the server by the transmission means.

[0610] Sentiment Analysis and Plan Generation

[0611] The process on the server side is as follows: First, the received data is passed to the sentiment analysis means, which analyzes the sentiment of the user's input. This sentiment analysis means uses a sentiment analysis engine that uses an advanced natural language processing library (e.g., transformers).

[0612] The analysis results are then fed into a generative AI model (e.g., a GPT-based model), which generates a personalized itinerary based on a prompt. The prompt is an input statement that provides the AI ​​model with the necessary information, such as:

[0613] Prompt Sentence Examples

[0614] "My travel preferences are for an out-of-the-ordinary experience and experiencing the culture of the local people. Specifically, I would like to travel to ancient ruins and enjoy local traditional cuisine."

[0615] Image video generation and distribution

[0616] The generated travel plan is passed to a video generator, which automatically selects images, video clips, and music to match the plan and creates a professional-looking video. For example, the "moviepy" library is used for this video generation.

[0617] Finally, the image video created by the video generation means is sent to the user's terminal through the receiving means. By playing back this video on the user's terminal using the playback means, the user can visually confirm the specific image of the trip.

[0618] Hardware and software used

[0619] Input method: Smartphone, tablet, PC, etc.

[0620] Transmission method: Network communication using the HTTPS protocol

[0621] Sentiment analysis engine: Natural language processing library (e.g., transformers)

[0622] Generative AI model: Generative AI model (e.g., GPT-based model)

[0623] Video generation method: Video editing library (e.g. moviepy)

[0624] Receiving means: Network communication function

[0625] Playback method: Video player

[0626] In this way, by combining emotion analysis with generative AI models, it becomes possible to provide users with travel plans and image videos that match their specific emotions and wishes, making their travel plans even more appealing.

[0627] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0628] Step 1:

[0629] The user inputs their travel preferences and specific wishes using the device's input means. The input data reflects the user's travel wishes and preferences and is saved on the device as specific text information. Smartphones, tablets, PCs, etc. are used as input means. The input data includes preferences such as "an extraordinary feeling" and "experiencing the culture of the local people," as well as specific wishes such as "I would like to take a trip where I can enjoy ancient ruins and local traditional cuisine."

[0630] Step 2:

[0631] The device sends the entered travel preferences and desired details to the server using the HTTPS protocol. The data is formatted in a standardized format such as JSON. Once the data reaches the server via the transmission medium, it is passed to a sentiment analysis engine.

[0632] Step 3:

[0633] The server analyzes the received data using sentiment analysis. Specifically, it uses natural language processing libraries (e.g., transformers) to extract emotions from the input text. This process identifies emotions such as "excitement," "expectation," and "surprise," and generates meta-information based on the user's emotions. The analysis results are output as numerical data or labels corresponding to the emotions.

[0634] Step 4:

[0635] The server inputs the emotion analysis results obtained by the emotion analysis means into a generative AI model. This generative AI model (e.g., a GPT-based model) extracts the user's travel preferences based on the prompt text and generates an appropriate travel plan. This prompt text includes the user's preferences, wishes, and emotion analysis results. For example, the prompt text might be input in the form, "My travel preferences are for an extraordinary experience and experiencing the culture of the local people. Specifically, I would like to take a trip to ancient ruins and enjoy local traditional cuisine." During this process, the AI ​​model suggests appropriate travel destinations and activities.

[0636] Step 5:

[0637] The specific travel plan generated by the generative AI model is passed to the video generation means. The video generation means automatically selects and edits images, video clips, and music according to the travel plan, and generates a professional image video using a video editing library (e.g., moviepy). This video includes visual elements related to the travel plan and is configured to allow the user to visualize the travel plan in detail.

[0638] Step 6:

[0639] The server uses the receiving means to transmit the image video generated by the video generation means to the user's terminal. At this point, the video is securely transmitted using the HTTPS protocol. The user can then view the received video using the playback means of the terminal.

[0640] Step 7:

[0641] The user watches the video played on the device and checks the details of the specific travel plan. This allows the user to visually check in advance whether the travel plan is satisfactory and gives them a more concrete image of the trip. Once this process is complete, the user will have a travel plan that reflects their emotions and wishes.

[0642] 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.

[0643] 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.

[0644] 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.

[0645] [Third embodiment]

[0646] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0647] 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.

[0648] 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).

[0649] 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.

[0650] 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.

[0651] 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).

[0652] 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.

[0653] 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.

[0654] 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.

[0655] 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.

[0656] 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.

[0657] 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."

[0658] This invention is a system that allows users to input their travel preferences and wishes, uses AI to generate personalized travel plans based on that information, and provides an image video based on that plan. The system includes input means, transmission means, plan generation means, video generation means, reception means, and playback means.

[0659] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0660] The terminal then converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol.

[0661] The server parses the data received at the API endpoint to obtain the user's selections and preferences. The obtained data is then passed to the AI ​​model. The AI ​​model uses natural language processing technology to analyze the user's input data, selects appropriate tourist spots and activities from a database, and generates a travel plan. For example, a specific travel plan such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home" may be created based on the user's needs.

[0662] Next, the server creates an image video based on the generated travel plan using a video generation means. This video generation means automatically selects photos, video clips, music, etc. related to the travel plan and combines them in a timeline format to create a professional video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0663] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0664] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and inputs "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's AI model generates a specific travel plan: "Visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0665] This invention makes it possible to utilize AI technology instead of expensive customized tours, and to provide travel plans that meet the diverse needs of users quickly and at low cost.

[0666] The processing flow will be explained below.

[0667] Step 1: User Input

[0668] The user accesses a dedicated application or website on their device (smartphone or PC).

[0669] The user selects their travel preferences in the displayed form, for example, "an extraordinary experience" and "experiencing the local culture."

[0670] The user enters details of the desired trip (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") into a text box.

[0671] The user presses the "Submit" button to complete the input.

[0672] Step 2: Send data

[0673] The terminal takes the data entered by the user and converts it into JSON format.

[0674] The device uses the HTTPS protocol to send JSON data to the server's API endpoint.

[0675] Step 3: Receiving data

[0676] The server parses the JSON data received at the API endpoint to obtain the user's selections and text inputs.

[0677] Step 4: Generate a plan

[0678] The server passes the acquired data to the AI ​​model.

[0679] The AI ​​model uses natural language processing technology to analyze user input and select appropriate tourist spots, activities, accommodations, etc. from a database.

[0680] For example, generate a travel plan such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0681] The server stores the generated travel plan in a database.

[0682] Step 5: Video Generation

[0683] The server acquires the stored travel plan data and passes it to the video generating means.

[0684] The video generator automatically selects photos, video clips and music related to the travel plan and combines them in a timeline format.

[0685] Create videos that evoke travel images, such as those featuring the pyramids, the Sphinx, and traditional cooking classes.

[0686] The generated video file is saved on the server.

[0687] Step 6: Send your video

[0688] The server creates a URL for the generated video and sends a JSON response containing that URL to the device.

[0689] If necessary, prepare to distribute the video file itself in streaming format.

[0690] Step 7: Play the video

[0691] The device parses the JSON response received from the server to obtain the video URL.

[0692] Launch the video player and stream the video from the URL obtained.

[0693] The user watches an image video of the travel plan on the terminal and checks the specific details of the trip.

[0694] Example 1

[0695] 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."

[0696] Conventional travel plan creation systems have had difficulty quickly and efficiently generating travel plans that reflect a user's individual preferences and wishes. Furthermore, the means by which users can visually check specific travel plans are limited, making travel planning extremely time-consuming and labor-intensive. Therefore, there has been a demand for a system that can quickly respond to users' needs and easily provide visually appealing travel plans.

[0697] 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.

[0698] In this invention, the server includes an input means for inputting a user's preferences and wishes regarding a trip, a transmission means for converting the data input by the input means into JSON format and transmitting the converted data to the server, a plan generation means for receiving the data and generating an individual travel plan using an AI model, a video generation means for generating a video from photos, video clips, and music based on the generated travel plan, a reception means for transmitting the generated video to the user's device, and a playback means for playing the received video on the device. This allows for the generation of attractive travel plans that meet a variety of user needs and allows users to visually confirm the plans.

[0699] The "input means" is an interface that allows the user to input their preferences and wishes regarding the trip.

[0700] The "transmission means" is a system component that converts data entered by the input means into JSON format and transmits it to the server.

[0701] The "plan generation means" is a function that analyzes the received data using an AI model and generates an individual travel plan based on the user's preferences and wishes.

[0702] The "video generation means" is a mechanism for generating an image video from related photos, video clips, and music based on the generated travel plan.

[0703] The "receiving means" is a system element for transmitting the generated video to the user's terminal and receiving it at the terminal.

[0704] "Playback means" refers to a function or device for playing back video received on a user's terminal.

[0705] An "AI model" is an algorithm or learning model that uses artificial intelligence technology to analyze data and natural language processing technology to generate appropriate travel plans based on user input data.

[0706] "JSON format" is an abbreviation for JavaScript Object Notation, and is a lightweight data exchange format for describing data in text format.

[0707] The "HTTPS protocol" is an abbreviation for Hypertext Transfer Protocol Secure, and is a communication protocol for securely sending and receiving data.

[0708] "Video" is a dynamic visual and audio medium that combines multiple still images, video clips, and music.

[0709] This invention is a system that allows users to input their travel preferences and wishes, uses AI to generate personalized travel plans based on that information, and provides an image video based on that plan. The system includes input means, transmission means, plan generation means, video generation means, reception means, and playback means.

[0710] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0711] Next, the device converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol. The server parses the data received at the API endpoint to obtain the user's selections and preferences. The obtained data is passed to an AI model (e.g., GPT-4 or BERT). The AI ​​model uses natural language processing technology to analyze the user's input data, selects appropriate tourist spots and activities from a database, and generates a travel plan. For example, a specific travel plan such as "visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home" may be created based on the user's needs.

[0712] Next, the server creates an image video based on the generated travel plan using a video generation means. This video generation means automatically selects photos, video clips, music, etc. related to the travel plan and combines them in a timeline format to create a professional video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0713] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0714] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and inputs "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's AI model generates a specific travel plan: "Visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0715] Examples of prompts include:

[0716] "Please tell me a good value travel plan."

[0717] "I'm looking for a trip that will give me an extraordinary experience. Can you recommend a plan?"

[0718] "Please suggest a travel plan that allows me to experience the local culture."

[0719] "I'd like to travel to ancient ruins and enjoy local traditional cuisine. Please tell me your plans."

[0720] This invention makes it possible to utilize AI technology instead of expensive customized tours, and to provide travel plans that meet the diverse needs of users quickly and at low cost.

[0721] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0722] Step 1:

[0723] The user uses a device (smartphone or PC) to access a dedicated application or a form on a website. The form displays multiple options related to travel. The user selects their preferences from options such as "value for money," "extraordinary experience," and "experiencing the local culture," and enters their specific wishes in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine"). The input data becomes the output of this step.

[0724] Step 2:

[0725] The terminal converts the data entered by the user into JSON format. During this data processing, the selected items and entered text are properly structured as key-value pairs. The converted JSON data is the output of this step.

[0726] Step 3:

[0727] The terminal sends the converted JSON data to the server's API endpoint using the HTTPS protocol. During this transmission process, the data is encrypted and arrives securely at the server. The data sent via the HTTPS protocol is the output of this step.

[0728] Step 4:

[0729] The server parses the JSON data received at the API endpoint. First, it verifies whether the received data is in the correct format. Next, it extracts the user's choices and preferences. During this parsing process, it finds the corresponding options in the database. The extracted choices and preferences are the output of this step.

[0730] Step 5:

[0731] The server inputs the extracted selections and desired content into an AI model (e.g., GPT-4 or BERT). The AI ​​model uses natural language processing techniques to analyze the input data and search a database for suitable tourist spots and activities. Based on this, it generates a specific itinerary. The generated itinerary is the output of this step.

[0732] Step 6:

[0733] The server uses a video generation means to create an image video based on the generated travel plan. This video generation means automatically selects photos, video clips, music, etc. related to the plan and combines these materials in a timeline format to generate a video. The generated video file is the output of this step.

[0734] Step 7:

[0735] The server sends the generated video file to the user's device. The HTTPS protocol is used again during the transmission process to ensure the data arrives securely. The transmitted video file is the output of this step.

[0736] Step 8:

[0737] The device saves the received video file and plays it using the built-in playback means. The user watches the video and checks whether the proposed travel plan matches their preferences. The video viewing result is the output of this step.

[0738] (Application example 1)

[0739] 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."

[0740] Conventional food delivery services have difficulty quickly and appropriately providing individual meal plans that take into account users' food preferences and allergy information. Furthermore, they lack a means to efficiently convey specific cooking instructions and ingredient descriptions based on the meal plan selected by the user. This makes it difficult to provide a satisfying, customized dining experience.

[0741] 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.

[0742] In this invention, the server includes an input means for inputting preferences and desired contents from the user, a transmission means for transmitting the data input by the input means to the server, a plan generation means for receiving the data and generating an individual plan using an AI model, a video generation means for generating an image video based on the generated plan, a reception means for transmitting the generated video to the user's terminal, and a playback means for playing the video received on the terminal. This makes it possible to quickly provide an individual meal plan that takes into account the user's preferences and allergy information, and to efficiently convey to the user specific cooking procedures and explanations of ingredients based on the plan.

[0743] "Input means" refers to a device or interface that allows a user to input preferences and desires into the system.

[0744] The "transmission means" is a device or software for transmitting data input by the input means to the server.

[0745] A "plan generation means" is a device or software that uses an AI model to generate an individual plan based on the received data.

[0746] The "moving image generating means" is a device or software that generates an image moving image based on the generated plan.

[0747] The "receiving means" is a device or software for transmitting the generated video to the user's terminal and receiving it at that terminal.

[0748] "Playback means" refers to a device or software for playing back video received by a terminal.

[0749] An "AI model" is an algorithm and data model that uses natural language processing technology to analyze data and generate appropriate plans.

[0750] "Natural language processing technology" is a technology for analyzing and understanding human language and extracting and generating meaningful information.

[0751] The present invention provides a system for generating an individual meal plan based on preferences and desires input by a user, and further provides videos corresponding to the plan. Hereinafter, a detailed description of an embodiment of the present invention will be given.

[0752] First, the user accesses a dedicated application using an input device such as a smartphone or tablet. Here, the user enters their preferences (e.g., "Japanese food," "Italian food," "healthy," etc.) and allergy information (e.g., "nut allergy"), and then adds specific preferences (e.g., "gluten-free," "low-calorie"), which communicates the user's individual needs to the system.

[0753] The input data is then converted to JSON format by the sending means and sent to the server's API endpoint using HTTPS. The server receives the data via the receiving means and analyzes it using an AI model. The AI ​​model uses natural language processing technologies such as Google TensorFlow and OpenAI to analyze the user's input data and generate a meal plan.

[0754] The plan generation means of the server selects appropriate ingredients and recipes from the database and generates a specific meal plan, for example, "gluten-free pasta and organic salad." The video generation means operates based on this meal plan.

[0755] The video generator then automatically selects video clips containing cooking instructions and ingredient information that correspond to the meal plan, and combines them to generate a professional cooking video, leveraging OpenAI's generative AI model to create prompts and flesh out detailed cooking instructions.

[0756] The generated video is sent from the server to the user's device. The user receives the video on the device and plays it using a playback device. This allows the user to visually check the specific cooking steps and ingredients of the meal plan based on their preferences and allergy information.

[0757] As a concrete example, consider the case where a user selects "Italian" and "gluten-free" and inputs "I have a nut allergy." The device sends this information to a server, and the server's AI model generates a specific meal plan called "gluten-free pasta and organic salad." Based on that plan, a video generator creates a video clip with cooking instructions and sends it to the user's device. The user can watch the video to confirm whether the meal plan meets their needs.

[0758] An example prompt might be, "Can you give me a recipe for a dish using the following ingredients: gluten-free pasta and an organic salad?"

[0759] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0760] Step 1:

[0761] Users use the input means on their smartphone or tablet to input their preferences (e.g., "Italian"), allergy information (e.g., "nut allergy"), and preferences (e.g., "gluten-free") The input data is converted into JSON format for transmission to the system.

[0762] Input: User preferences, allergy information, and desired content

[0763] Output: Input data in JSON format

[0764] Step 2:

[0765] The terminal uses the transmission means to transmit the JSON format data input by the input means to the API endpoint of the server via HTTPS.

[0766] Input: Input data in JSON format

[0767] Output: Data sent to the server via HTTPS protocol

[0768] Step 3:

[0769] The server receives the data via the receiving means and analyzes it using an AI model. The AI ​​model uses natural language processing technology to understand the user's preferences, allergy information, and requests, and then generates a personalized meal plan based on that. This process also includes selecting ingredients and recipes from a database.

[0770] Input: Data via HTTPS

[0771] Output: personalized meal plan

[0772] Step 4:

[0773] The plan generation means of the server uses the analysis results to create a specific meal plan, for example, "gluten-free pasta and organic salad." Next, the video generation means operates based on this meal plan.

[0774] Input: Analysis results

[0775] Output: Specific meal plan

[0776] Step 5:

[0777] The video generator selects video clips containing cooking instructions and ingredient information based on the generated meal plan, and uses OpenAI's generative AI model to create prompts and flesh out detailed cooking instructions, ultimately generating a professional-looking cooking video.

[0778] Input: Specific meal plan

[0779] Output: Cooking videos

[0780] Step 6:

[0781] The generated cooking video is sent to the user's device using a receiving means, and the video is saved in the device.

[0782] Input: cooking video

[0783] Output: Video stored on the user's device

[0784] Step 7:

[0785] The user plays the received cooking video using the playback means of the device, allowing the user to visually check the specific cooking steps and ingredients of the meal plan based on their preferences and allergy information.

[0786] Input: Video stored on the user's device

[0787] Output: Cooking video played

[0788] This allows users to easily obtain individual meal plans and check their details.

[0789] 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.

[0790] This invention is a system that allows a user to input travel preferences and wishes, generates an individual travel plan based on that information using an emotion engine and AI technology, and provides an image video based on that plan. This system includes input means, transmission means, emotion engine, plan generation means, video generation means, receiving means, and playback means.

[0791] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0792] The terminal then converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol.

[0793] The server parses the data received at the API endpoint to obtain the user's selections and preferences. This data is then passed to the emotion engine, which analyzes the user's text to determine their emotions. For example, if positive emotions such as "excitement," "anticipation," or "surprise" are detected, the server will suggest plans that include experiences and activities that match those emotions.

[0794] After the emotion engine analyzes emotions, the results are passed to the plan generator, which uses an AI model to generate a travel plan based on the emotion analysis results and the user's selection. For example, it creates a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and take a cooking class at a local home."

[0795] The server then uses a video generator to create an image video based on the generated travel plan. The video generator automatically selects photos, video clips, and music related to the travel plan and combines them in a timeline format to create a professional-looking video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0796] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0797] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's emotion engine analyzes positive emotions from the user's text. Based on this result and the selected preferences, the server's AI model generates a specific travel plan: "Visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0798] This invention makes it possible to utilize AI and emotion analysis technology to provide travel plans that respond to users' diverse needs and emotions quickly and at low cost, instead of expensive customized travel plans.

[0799] The processing flow will be explained below.

[0800] Step 1: User Input

[0801] The user accesses a dedicated application or website on their device (smartphone or PC).

[0802] The user selects their travel preferences in the displayed form, for example, "an extraordinary experience" and "experiencing the local culture."

[0803] The user enters details of the desired trip (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") into a text box.

[0804] The user presses the "Submit" button to complete the input.

[0805] Step 2: Send data

[0806] The terminal takes the data entered by the user and converts it into JSON format.

[0807] The device uses the HTTPS protocol to send JSON data to the server's API endpoint.

[0808] Step 3: Receiving data

[0809] The server parses the JSON data received at the API endpoint to obtain the user's selections and text inputs.

[0810] Step 4: Sentiment Analysis

[0811] The server passes the acquired user data to the emotion engine.

[0812] The emotion engine analyzes the user's text data and detects emotions (e.g., "excitement," "anticipation," etc.).

[0813] The detected emotion data is passed to the plan generation means.

[0814] Step 5: Generate a plan

[0815] The server's plan generation means generates a travel plan using an AI model based on the analysis results of the emotion engine and the user's selection data.

[0816] For example, a specific travel plan might be created, such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0817] The server stores this generated itinerary in a database.

[0818] Step 6: Video Generation

[0819] The server acquires the stored travel plan data and passes it to the video generating means.

[0820] The video generator automatically selects photos, video clips and music related to the travel plan and combines them in a timeline format.

[0821] Create videos that evoke travel images, such as those featuring the pyramids, the Sphinx, and traditional cooking classes.

[0822] The generated video file is saved on the server.

[0823] Step 7: Send your video

[0824] The server creates a URL for the generated video and sends a JSON response containing that URL to the device.

[0825] If necessary, prepare to distribute the video file itself in streaming format.

[0826] Step 8: Play the video

[0827] The device parses the JSON response received from the server to obtain the video URL.

[0828] Launch the video player and stream the video from the URL obtained.

[0829] The user watches an image video of the travel plan on the terminal and checks the specific details of the trip.

[0830] Example 2

[0831] 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."

[0832] Conventional travel plan generation systems could only provide a uniform plan based on the travel preferences and wishes entered by the user, making it difficult to respond to the emotions and detailed wishes of individual users. Furthermore, the means of confirming travel plans were limited to text and still images, making it difficult for users to actually visualize their travel destinations. This meant that users were unable to select a travel plan that completely satisfied them, resulting in a decrease in satisfaction with the travel plan itself.

[0833] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0834] In this invention, the server includes emotion analysis means for analyzing emotions from a user's text using emotion analysis technology, plan generation means for generating an individual travel plan based on the emotion data analyzed by the emotion analysis means and the user's preferences, and video generation means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video. This makes it possible to generate an individual travel plan that corresponds to the user's specific preferences and emotions and provide it as an image video that can be visually confirmed.

[0835] The "input means" is a means for the user to input travel preferences and desired details.

[0836] The "transmission means" is a means for transmitting data input by the input means to the server.

[0837] "Sentiment analysis means" means for receiving data and analyzing emotions from a user's text using sentiment analysis techniques.

[0838] The "plan generating means" is a means for generating an individual travel plan based on the emotion data analyzed by the emotion analyzing means and the user's preferences.

[0839] The "video generating means" is a means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video.

[0840] The "receiving means" is a means for transmitting the generated video to the user's terminal.

[0841] The "playback means" is a means for playing back the video received by the terminal.

[0842] A "generative AI model" is a model that uses artificial intelligence technology to analyze and process user input data and generate appropriate travel plans.

[0843] A "prompt sentence" is an instruction sentence or question sentence that prompts the user to make a specific input or response.

[0844] This invention is a system that allows a user to input their travel preferences and wishes, generates an individual travel plan based on that information using emotion analysis technology and a generative AI model, and provides an image video based on that plan. This system includes input means, transmission means, emotion analysis means, plan generation means, video generation means, reception means, and playback means.

[0845] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0846] Next, the device converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol. The device generates and sends JSON data in the format "{"preference1": "An extraordinary feeling", "preference2": "Experience the local culture", "request": "I want to take a trip to enjoy ancient ruins and local traditional cuisine"}".

[0847] The server parses the data received at the API endpoint and obtains the user's selections and desired content. This data is passed to a sentiment analysis means, which analyzes emotions from the user's text. For example, if positive emotions such as "excitement," "anticipation," or "surprise" are detected, the server will propose a plan that includes experiences and activities that match those emotions. For example, the server analyzes a desired content such as "I want to visit ancient ruins" and detects positive emotions such as "excitement" and "anticipation."

[0848] After the emotion analysis means analyzes the emotions, the results are passed to the plan generation means. The plan generation means uses a generative AI model to generate a travel plan based on the emotion analysis results and the user's selection. For example, it creates a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0849] Next, the server uses a video generation means to create an image video based on the generated travel plan. The video generation means automatically selects photos, video clips, and music related to the travel plan and combines them in a timeline format to create a professional video. The server's operation generates a video that includes scenes of the pyramids, the Sphinx, and a traditional cooking class, for example.

[0850] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0851] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's emotion analysis means analyzes positive emotions from the user's text. Based on this result and the selected preferences, the server's generative AI model generates a specific travel plan: "Visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0852] An example of a prompt is, "Tell us about your travel goals and preferences. What kind of experience are you hoping to have? For example, please describe your specific wishes, such as, 'I would like to take a trip to enjoy ancient ruins and local traditional cuisine.'"

[0853] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0854] Step 1:

[0855] User data entry

[0856] Users access their device through a dedicated application or website, select their travel preferences in the displayed form (e.g., "value for money," "extraordinary," "experiencing local culture," etc.), and enter specific requests in a text box (e.g., "I'd like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0857] Input: Travel preferences and specific requests

[0858] Output: User input data

[0859] Specific behavior:

[0860] The user selects "an extraordinary feeling" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine" in the text box.

[0861] Step 2:

[0862] Sending data

[0863] The terminal converts the data entered by the user into JSON format and sends this JSON data to the server's API endpoint using the HTTPS protocol.

[0864] Input: User-entered data

[0865] Output: JSON formatted data

[0866] Specific behavior:

[0867] The device generates JSON data in the format "{"preference1": "An extraordinary feeling", "preference2": "Experience the local culture", "request": "I want to take a trip to enjoy ancient ruins and local traditional cuisine"}" and sends it to the server.

[0868] Step 3:

[0869] Data reception and analysis

[0870] The server parses the JSON data received at the API endpoint to obtain the user's selections and preferences. This data is passed to a sentiment analyzer, which analyzes the user's text to determine their emotions. If a positive emotion (e.g., "excitement," "anticipation," "surprise," etc.) is detected, the server proposes a plan that includes experiences and activities that match that emotion.

[0871] Input: JSON format data

[0872] Output: Sentiment analysis results and basic data of the user's travel plan

[0873] Specific behavior:

[0874] The server analyzes the request, such as "I want to take a trip to enjoy ancient ruins and local traditional cuisine," and detects positive emotions such as "excitement" and "anticipation."

[0875] Step 4:

[0876] Generate a travel plan

[0877] The server uses a plan generation method based on the emotion analysis results and user selection data to generate a travel plan using a generative AI model. As a specific example, it creates a travel plan to "visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0878] Input: Sentiment analysis results and basic data of user's travel plans

[0879] Output: A detailed itinerary

[0880] Specific behavior:

[0881] Based on the results of the sentiment analysis, the server generates a specific travel plan: "Visit the Pyramids and Sphinx in Cairo, Egypt, and take a cooking class at a local home."

[0882] Step 5:

[0883] Image video generation

[0884] The server uses a video generation means based on the generated travel plan to select related images, video clips, and music, and combines them in a timeline format to generate an image video.

[0885] Input: Specific travel plans

[0886] Output: Image video

[0887] Specific behavior:

[0888] The server generates videos that include scenes of the pyramids, the Sphinx, and a traditional cooking class.

[0889] Step 6:

[0890] Video transmission and playback

[0891] The server sends the generated video to the user's device using the HTTPS protocol, and the device stores the received video and plays it back to the user using its built-in playback mechanism.

[0892] Input: Image video

[0893] Output: Video played on the user's device

[0894] Specific behavior:

[0895] The device receives the video, and the user plays it to visually see the pyramids, the Sphinx, and a traditional cooking class.

[0896] An example of a prompt is, "Tell us about your travel goals and preferences. What kind of experience are you hoping to have? Please describe your specific wishes, such as, 'I would like to take a trip to enjoy ancient ruins and local traditional cuisine.'"

[0897] (Application example 2)

[0898] 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."

[0899] Conventional travel plan creation systems have made it difficult for users to visualize specific travel plans that meet their needs. Furthermore, they have been unable to generate travel plans that fully reflect the user's emotions and detailed requests. This makes it difficult to provide travel plans that satisfy the user, and it has been impossible to increase satisfaction in the pre-trip planning stage.

[0900] 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.

[0901] In this invention, the server includes an input means for inputting the user's travel preferences and wishes, a transmission means for transmitting the data input by the input means to the server, a sentiment analysis means for receiving the data and analyzing the user's emotions using a sentiment analysis engine, a plan generation means for receiving the sentiment analysis results and generating an individual travel plan using a generative AI model, a video generation means for generating an image video based on the generated travel plan, a receiving means for transmitting the generated video to the user's terminal, and a playback means for playing the video received on the terminal. This makes it possible to propose a travel plan that reflects the user's emotions and wishes and to generate an image video based on it.

[0902] "User" refers to any individual or organization that uses this system.

[0903] "Travel preferences" refers to a set of characteristics or conditions that a user desires in a trip.

[0904] "Desired content" refers to the details of the trip that the user specifically wants to experience.

[0905] "Input means" refers to an interface that allows a user to input travel preferences and wishes.

[0906] The "transmission means" refers to a function for transmitting data input by the input means to the server.

[0907] "Emotion analysis means" refers to an engine or algorithm for analyzing emotions from user input data.

[0908] "Sentiment analysis engine" refers to a system that uses artificial intelligence models to identify emotions from user input data.

[0909] A "generative AI model" refers to an artificial intelligence model that generates individual travel plans based on a user's emotions and preferences.

[0910] "Plan generation means" refers to the function that creates individual travel plans using a generative AI model.

[0911] "Video generation means" refers to a function that generates a video based on the generated travel plan.

[0912] "Image Video" refers to a professional video that combines images, video clips, and music related to a travel plan.

[0913] "Receiving means" refers to a function for transmitting the generated video to the user's terminal.

[0914] "Playback means" refers to a function for playing back video received on a user's terminal.

[0915] "Terminal" refers to devices used by users, such as smartphones, tablets, and PCs.

[0916] A "prompt sentence" refers to an input sentence that provides the generative AI model with the information it needs to generate a travel plan.

[0917] The system for implementing this invention allows users to input their travel preferences and wishes, and then generates a personalized travel plan based on that information using a sentiment analysis engine and a generative AI model, and then provides an image video based on that plan. Specific embodiments of this system are described below.

[0918] Program processing overview

[0919] User Input and Data Submission

[0920] The user inputs their travel preferences (e.g., "an extraordinary feeling" or "experiencing the local culture") and specific requests (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") using the input means of the terminal. The input data is then sent to the server by the transmission means.

[0921] Sentiment Analysis and Plan Generation

[0922] The process on the server side is as follows: First, the received data is passed to the sentiment analysis means, which analyzes the sentiment of the user's input. This sentiment analysis means uses a sentiment analysis engine that uses an advanced natural language processing library (e.g., transformers).

[0923] The analysis results are then fed into a generative AI model (e.g., a GPT-based model), which generates a personalized itinerary based on a prompt. The prompt is an input statement that provides the AI ​​model with the necessary information, such as:

[0924] Prompt Sentence Examples

[0925] "My travel preferences are for an out-of-the-ordinary experience and experiencing the culture of the local people. Specifically, I would like to travel to ancient ruins and enjoy local traditional cuisine."

[0926] Image video generation and distribution

[0927] The generated travel plan is passed to a video generator, which automatically selects images, video clips, and music to match the plan and creates a professional-looking video. For example, the "moviepy" library is used for this video generation.

[0928] Finally, the image video created by the video generation means is sent to the user's terminal through the receiving means. By playing back this video on the user's terminal using the playback means, the user can visually confirm the specific image of the trip.

[0929] Hardware and software used

[0930] Input method: Smartphone, tablet, PC, etc.

[0931] Transmission method: Network communication using the HTTPS protocol

[0932] Sentiment analysis engine: Natural language processing library (e.g., transformers)

[0933] Generative AI model: Generative AI model (e.g., GPT-based model)

[0934] Video generation method: Video editing library (e.g. moviepy)

[0935] Receiving means: Network communication function

[0936] Playback method: Video player

[0937] In this way, by combining emotion analysis with generative AI models, it becomes possible to provide users with travel plans and image videos that match their specific emotions and wishes, making their travel plans even more appealing.

[0938] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0939] Step 1:

[0940] The user inputs their travel preferences and specific wishes using the device's input means. The input data reflects the user's travel wishes and preferences and is saved on the device as specific text information. Smartphones, tablets, PCs, etc. are used as input means. The input data includes preferences such as "an extraordinary feeling" and "experiencing the culture of the local people," as well as specific wishes such as "I would like to take a trip where I can enjoy ancient ruins and local traditional cuisine."

[0941] Step 2:

[0942] The device sends the entered travel preferences and desired details to the server using the HTTPS protocol. The data is formatted in a standardized format such as JSON. Once the data reaches the server via the transmission medium, it is passed to a sentiment analysis engine.

[0943] Step 3:

[0944] The server analyzes the received data using sentiment analysis. Specifically, it uses natural language processing libraries (e.g., transformers) to extract emotions from the input text. This process identifies emotions such as "excitement," "expectation," and "surprise," and generates meta-information based on the user's emotions. The analysis results are output as numerical data or labels corresponding to the emotions.

[0945] Step 4:

[0946] The server inputs the emotion analysis results obtained by the emotion analysis means into a generative AI model. This generative AI model (e.g., a GPT-based model) extracts the user's travel preferences based on the prompt text and generates an appropriate travel plan. This prompt text includes the user's preferences, wishes, and emotion analysis results. For example, the prompt text might be input in the form, "My travel preferences are for an extraordinary experience and experiencing the culture of the local people. Specifically, I would like to take a trip to ancient ruins and enjoy local traditional cuisine." During this process, the AI ​​model suggests appropriate travel destinations and activities.

[0947] Step 5:

[0948] The specific travel plan generated by the generative AI model is passed to the video generation means. The video generation means automatically selects and edits images, video clips, and music according to the travel plan, and generates a professional image video using a video editing library (e.g., moviepy). This video includes visual elements related to the travel plan and is configured to allow the user to visualize the travel plan in detail.

[0949] Step 6:

[0950] The server uses the receiving means to transmit the image video generated by the video generation means to the user's terminal. At this point, the video is securely transmitted using the HTTPS protocol. The user can then view the received video using the playback means of the terminal.

[0951] Step 7:

[0952] The user watches the video played on the device and checks the details of the specific travel plan. This allows the user to visually check in advance whether the travel plan is satisfactory and gives them a more concrete image of the trip. Once this process is complete, the user will have a travel plan that reflects their emotions and wishes.

[0953] 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.

[0954] 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.

[0955] 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.

[0956] [Fourth embodiment]

[0957] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0958] 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.

[0959] 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).

[0960] 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.

[0961] 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.

[0962] 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).

[0963] 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.

[0964] 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.

[0965] 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.

[0966] 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.

[0967] 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.

[0968] 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.

[0969] 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."

[0970] This invention is a system that allows users to input their travel preferences and wishes, uses AI to generate personalized travel plans based on that information, and provides an image video based on that plan. The system includes input means, transmission means, plan generation means, video generation means, reception means, and playback means.

[0971] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[0972] The terminal then converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol.

[0973] The server parses the data received at the API endpoint to obtain the user's selections and preferences. The obtained data is then passed to the AI ​​model. The AI ​​model uses natural language processing technology to analyze the user's input data, selects appropriate tourist spots and activities from a database, and generates a travel plan. For example, a specific travel plan such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home" may be created based on the user's needs.

[0974] Next, the server creates an image video based on the generated travel plan using a video generation means. This video generation means automatically selects photos, video clips, music, etc. related to the travel plan and combines them in a timeline format to create a professional video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[0975] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[0976] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and inputs "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's AI model generates a specific travel plan: "Visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[0977] This invention makes it possible to utilize AI technology instead of expensive customized tours, and to provide travel plans that meet the diverse needs of users quickly and at low cost.

[0978] The processing flow will be explained below.

[0979] Step 1: User Input

[0980] The user accesses a dedicated application or website on their device (smartphone or PC).

[0981] The user selects their travel preferences in the displayed form, for example, "an extraordinary experience" and "experiencing the local culture."

[0982] The user enters details of the desired trip (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") into a text box.

[0983] The user presses the "Submit" button to complete the input.

[0984] Step 2: Send data

[0985] The terminal takes the data entered by the user and converts it into JSON format.

[0986] The device uses the HTTPS protocol to send JSON data to the server's API endpoint.

[0987] Step 3: Receiving data

[0988] The server parses the JSON data received at the API endpoint to obtain the user's selections and text inputs.

[0989] Step 4: Generate a plan

[0990] The server passes the acquired data to the AI ​​model.

[0991] The AI ​​model uses natural language processing technology to analyze user input and select appropriate tourist spots, activities, accommodations, etc. from a database.

[0992] For example, generate a travel plan such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[0993] The server stores the generated travel plan in a database.

[0994] Step 5: Video Generation

[0995] The server acquires the stored travel plan data and passes it to the video generating means.

[0996] The video generator automatically selects photos, video clips and music related to the travel plan and combines them in a timeline format.

[0997] Create videos that evoke travel images, such as those featuring the pyramids, the Sphinx, and traditional cooking classes.

[0998] The generated video file is saved on the server.

[0999] Step 6: Send your video

[1000] The server creates a URL for the generated video and sends a JSON response containing that URL to the device.

[1001] If necessary, prepare to distribute the video file itself in streaming format.

[1002] Step 7: Play the video

[1003] The device parses the JSON response received from the server to obtain the video URL.

[1004] Launch the video player and stream the video from the URL obtained.

[1005] The user watches an image video of the travel plan on the terminal and checks the specific details of the trip.

[1006] Example 1

[1007] 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."

[1008] Conventional travel plan creation systems have had difficulty quickly and efficiently generating travel plans that reflect a user's individual preferences and wishes. Furthermore, the means by which users can visually check specific travel plans are limited, making travel planning extremely time-consuming and labor-intensive. Therefore, there has been a demand for a system that can quickly respond to users' needs and easily provide visually appealing travel plans.

[1009] 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.

[1010] In this invention, the server includes an input means for inputting a user's preferences and wishes regarding a trip, a transmission means for converting the data input by the input means into JSON format and transmitting the converted data to the server, a plan generation means for receiving the data and generating an individual travel plan using an AI model, a video generation means for generating a video from photos, video clips, and music based on the generated travel plan, a reception means for transmitting the generated video to the user's device, and a playback means for playing the received video on the device. This allows for the generation of attractive travel plans that meet a variety of user needs and allows users to visually confirm the plans.

[1011] The "input means" is an interface that allows the user to input their preferences and wishes regarding the trip.

[1012] The "transmission means" is a system component that converts data entered by the input means into JSON format and transmits it to the server.

[1013] The "plan generation means" is a function that analyzes the received data using an AI model and generates an individual travel plan based on the user's preferences and wishes.

[1014] The "video generation means" is a mechanism for generating an image video from related photos, video clips, and music based on the generated travel plan.

[1015] The "receiving means" is a system element for transmitting the generated video to the user's terminal and receiving it at the terminal.

[1016] "Playback means" refers to a function or device for playing back video received on a user's terminal.

[1017] An "AI model" is an algorithm or learning model that uses artificial intelligence technology to analyze data and natural language processing technology to generate appropriate travel plans based on user input data.

[1018] "JSON format" is an abbreviation for JavaScript Object Notation, and is a lightweight data exchange format for describing data in text format.

[1019] The "HTTPS protocol" is an abbreviation for Hypertext Transfer Protocol Secure, and is a communication protocol for securely sending and receiving data.

[1020] "Video" is a dynamic visual and audio medium that combines multiple still images, video clips, and music.

[1021] This invention is a system that allows users to input their travel preferences and wishes, uses AI to generate personalized travel plans based on that information, and provides an image video based on that plan. The system includes input means, transmission means, plan generation means, video generation means, reception means, and playback means.

[1022] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[1023] Next, the device converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol. The server parses the data received at the API endpoint to obtain the user's selections and preferences. The obtained data is passed to an AI model (e.g., GPT-4 or BERT). The AI ​​model uses natural language processing technology to analyze the user's input data, selects appropriate tourist spots and activities from a database, and generates a travel plan. For example, a specific travel plan such as "visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home" may be created based on the user's needs.

[1024] Next, the server creates an image video based on the generated travel plan using a video generation means. This video generation means automatically selects photos, video clips, music, etc. related to the travel plan and combines them in a timeline format to create a professional video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[1025] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[1026] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and inputs "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's AI model generates a specific travel plan: "Visit the pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[1027] Examples of prompts include:

[1028] "Please tell me a good value travel plan."

[1029] "I'm looking for a trip that will give me an extraordinary experience. Can you recommend a plan?"

[1030] "Please suggest a travel plan that allows me to experience the local culture."

[1031] "I'd like to travel to ancient ruins and enjoy local traditional cuisine. Please tell me your plans."

[1032] This invention makes it possible to utilize AI technology instead of expensive customized tours, and to provide travel plans that meet the diverse needs of users quickly and at low cost.

[1033] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1034] Step 1:

[1035] The user uses a device (smartphone or PC) to access a dedicated application or a form on a website. The form displays multiple options related to travel. The user selects their preferences from options such as "value for money," "extraordinary experience," and "experiencing the local culture," and enters their specific wishes in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine"). The input data becomes the output of this step.

[1036] Step 2:

[1037] The terminal converts the data entered by the user into JSON format. During this data processing, the selected items and entered text are properly structured as key-value pairs. The converted JSON data is the output of this step.

[1038] Step 3:

[1039] The terminal sends the converted JSON data to the server's API endpoint using the HTTPS protocol. During this transmission process, the data is encrypted and arrives securely at the server. The data sent via the HTTPS protocol is the output of this step.

[1040] Step 4:

[1041] The server parses the JSON data received at the API endpoint. First, it verifies whether the received data is in the correct format. Next, it extracts the user's choices and preferences. During this parsing process, it finds the corresponding options in the database. The extracted choices and preferences are the output of this step.

[1042] Step 5:

[1043] The server inputs the extracted selections and desired content into an AI model (e.g., GPT-4 or BERT). The AI ​​model uses natural language processing techniques to analyze the input data and search a database for suitable tourist spots and activities. Based on this, it generates a specific itinerary. The generated itinerary is the output of this step.

[1044] Step 6:

[1045] The server uses a video generation means to create an image video based on the generated travel plan. This video generation means automatically selects photos, video clips, music, etc. related to the plan and combines these materials in a timeline format to generate a video. The generated video file is the output of this step.

[1046] Step 7:

[1047] The server sends the generated video file to the user's device. The HTTPS protocol is used again during the transmission process to ensure the data arrives securely. The transmitted video file is the output of this step.

[1048] Step 8:

[1049] The device saves the received video file and plays it using the built-in playback means. The user watches the video and checks whether the proposed travel plan matches their preferences. The video viewing result is the output of this step.

[1050] (Application example 1)

[1051] 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."

[1052] Conventional food delivery services have difficulty quickly and appropriately providing individual meal plans that take into account users' food preferences and allergy information. Furthermore, they lack a means to efficiently convey specific cooking instructions and ingredient descriptions based on the meal plan selected by the user. This makes it difficult to provide a satisfying, customized dining experience.

[1053] 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.

[1054] In this invention, the server includes an input means for inputting preferences and desired contents from the user, a transmission means for transmitting the data input by the input means to the server, a plan generation means for receiving the data and generating an individual plan using an AI model, a video generation means for generating an image video based on the generated plan, a reception means for transmitting the generated video to the user's terminal, and a playback means for playing the video received on the terminal. This makes it possible to quickly provide an individual meal plan that takes into account the user's preferences and allergy information, and to efficiently convey to the user specific cooking procedures and explanations of ingredients based on the plan.

[1055] "Input means" refers to a device or interface that allows a user to input preferences and desires into the system.

[1056] The "transmission means" is a device or software for transmitting data input by the input means to the server.

[1057] A "plan generation means" is a device or software that uses an AI model to generate an individual plan based on the received data.

[1058] The "moving image generating means" is a device or software that generates an image moving image based on the generated plan.

[1059] The "receiving means" is a device or software for transmitting the generated video to the user's terminal and receiving it at that terminal.

[1060] "Playback means" refers to a device or software for playing back video received by a terminal.

[1061] An "AI model" is an algorithm and data model that uses natural language processing technology to analyze data and generate appropriate plans.

[1062] "Natural language processing technology" is a technology for analyzing and understanding human language and extracting and generating meaningful information.

[1063] The present invention provides a system for generating an individual meal plan based on preferences and desires input by a user, and further provides videos corresponding to the plan. Hereinafter, a detailed description of an embodiment of the present invention will be given.

[1064] First, the user accesses a dedicated application using an input device such as a smartphone or tablet. Here, the user enters their preferences (e.g., "Japanese food," "Italian food," "healthy," etc.) and allergy information (e.g., "nut allergy"), and then adds specific preferences (e.g., "gluten-free," "low-calorie"), which communicates the user's individual needs to the system.

[1065] The input data is then converted to JSON format by the sending means and sent to the server's API endpoint using HTTPS. The server receives the data via the receiving means and analyzes it using an AI model. The AI ​​model uses natural language processing technologies such as Google TensorFlow and OpenAI to analyze the user's input data and generate a meal plan.

[1066] The plan generation means of the server selects appropriate ingredients and recipes from the database and generates a specific meal plan, for example, "gluten-free pasta and organic salad." The video generation means operates based on this meal plan.

[1067] The video generator then automatically selects video clips containing cooking instructions and ingredient information that correspond to the meal plan, and combines them to generate a professional cooking video, leveraging OpenAI's generative AI model to create prompts and flesh out detailed cooking instructions.

[1068] The generated video is sent from the server to the user's device. The user receives the video on the device and plays it using a playback device. This allows the user to visually check the specific cooking steps and ingredients of the meal plan based on their preferences and allergy information.

[1069] As a concrete example, consider the case where a user selects "Italian" and "gluten-free" and inputs "I have a nut allergy." The device sends this information to a server, and the server's AI model generates a specific meal plan called "gluten-free pasta and organic salad." Based on that plan, a video generator creates a video clip with cooking instructions and sends it to the user's device. The user can watch the video to confirm whether the meal plan meets their needs.

[1070] An example prompt might be, "Can you give me a recipe for a dish using the following ingredients: gluten-free pasta and an organic salad?"

[1071] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1072] Step 1:

[1073] Users use the input means on their smartphone or tablet to input their preferences (e.g., "Italian"), allergy information (e.g., "nut allergy"), and preferences (e.g., "gluten-free") The input data is converted into JSON format for transmission to the system.

[1074] Input: User preferences, allergy information, and desired content

[1075] Output: Input data in JSON format

[1076] Step 2:

[1077] The terminal uses the transmission means to transmit the JSON format data input by the input means to the API endpoint of the server via HTTPS.

[1078] Input: Input data in JSON format

[1079] Output: Data sent to the server via HTTPS protocol

[1080] Step 3:

[1081] The server receives the data via the receiving means and analyzes it using an AI model. The AI ​​model uses natural language processing technology to understand the user's preferences, allergy information, and requests, and then generates a personalized meal plan based on that. This process also includes selecting ingredients and recipes from a database.

[1082] Input: Data via HTTPS

[1083] Output: personalized meal plan

[1084] Step 4:

[1085] The plan generation means of the server uses the analysis results to create a specific meal plan, for example, "gluten-free pasta and organic salad." Next, the video generation means operates based on this meal plan.

[1086] Input: Analysis results

[1087] Output: Specific meal plan

[1088] Step 5:

[1089] The video generator selects video clips containing cooking instructions and ingredient information based on the generated meal plan, and uses OpenAI's generative AI model to create prompts and flesh out detailed cooking instructions, ultimately generating a professional-looking cooking video.

[1090] Input: Specific meal plan

[1091] Output: Cooking videos

[1092] Step 6:

[1093] The generated cooking video is sent to the user's device using a receiving means, and the video is saved in the device.

[1094] Input: cooking video

[1095] Output: Video stored on the user's device

[1096] Step 7:

[1097] The user plays the received cooking video using the playback means of the device, allowing the user to visually check the specific cooking steps and ingredients of the meal plan based on their preferences and allergy information.

[1098] Input: Video stored on the user's device

[1099] Output: Cooking video played

[1100] This allows users to easily obtain individual meal plans and check their details.

[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 allows a user to input travel preferences and wishes, generates an individual travel plan based on that information using an emotion engine and AI technology, and provides an image video based on that plan. This system includes input means, transmission means, emotion engine, plan generation means, video generation means, receiving means, and playback means.

[1103] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[1104] The terminal then converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol.

[1105] The server parses the data received at the API endpoint to obtain the user's selections and preferences. This data is then passed to the emotion engine, which analyzes the user's text to determine their emotions. For example, if positive emotions such as "excitement," "anticipation," or "surprise" are detected, the server will suggest plans that include experiences and activities that match those emotions.

[1106] After the emotion engine analyzes emotions, the results are passed to the plan generator, which uses an AI model to generate a travel plan based on the emotion analysis results and the user's selection. For example, it creates a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and take a cooking class at a local home."

[1107] The server then uses a video generator to create an image video based on the generated travel plan. The video generator automatically selects photos, video clips, and music related to the travel plan and combines them in a timeline format to create a professional-looking video. For example, a video containing scenes of the pyramids, the Sphinx, and a traditional cooking class may be generated.

[1108] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[1109] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's emotion engine analyzes positive emotions from the user's text. Based on this result and the selected preferences, the server's AI model generates a specific travel plan: "Visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[1110] This invention makes it possible to utilize AI and emotion analysis technology to provide travel plans that respond to users' diverse needs and emotions quickly and at low cost, instead of expensive customized travel plans.

[1111] The processing flow will be explained below.

[1112] Step 1: User Input

[1113] The user accesses a dedicated application or website on their device (smartphone or PC).

[1114] The user selects their travel preferences in the displayed form, for example, "an extraordinary experience" and "experiencing the local culture."

[1115] The user enters details of the desired trip (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") into a text box.

[1116] The user presses the "Submit" button to complete the input.

[1117] Step 2: Send data

[1118] The terminal takes the data entered by the user and converts it into JSON format.

[1119] The device uses the HTTPS protocol to send JSON data to the server's API endpoint.

[1120] Step 3: Receiving data

[1121] The server parses the JSON data received at the API endpoint to obtain the user's selections and text inputs.

[1122] Step 4: Sentiment Analysis

[1123] The server passes the acquired user data to the emotion engine.

[1124] The emotion engine analyzes the user's text data and detects emotions (e.g., "excitement," "anticipation," etc.).

[1125] The detected emotion data is passed to the plan generation means.

[1126] Step 5: Generate a plan

[1127] The server's plan generation means generates a travel plan using an AI model based on the analysis results of the emotion engine and the user's selection data.

[1128] For example, a specific travel plan might be created, such as "Visit the Pyramids and Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[1129] The server stores this generated itinerary in a database.

[1130] Step 6: Video Generation

[1131] The server acquires the stored travel plan data and passes it to the video generating means.

[1132] The video generator automatically selects photos, video clips and music related to the travel plan and combines them in a timeline format.

[1133] Create videos that evoke travel images, such as those featuring the pyramids, the Sphinx, and traditional cooking classes.

[1134] The generated video file is saved on the server.

[1135] Step 7: Send your video

[1136] The server creates a URL for the generated video and sends a JSON response containing that URL to the device.

[1137] If necessary, prepare to distribute the video file itself in streaming format.

[1138] Step 8: Play the video

[1139] The device parses the JSON response received from the server to obtain the video URL.

[1140] Launch the video player and stream the video from the URL obtained.

[1141] The user watches an image video of the travel plan on the terminal and checks the specific details of the trip.

[1142] Example 2

[1143] 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."

[1144] Conventional travel plan generation systems could only provide a uniform plan based on the travel preferences and wishes entered by the user, making it difficult to respond to the emotions and detailed wishes of individual users. Furthermore, the means of confirming travel plans were limited to text and still images, making it difficult for users to actually visualize their travel destinations. This meant that users were unable to select a travel plan that completely satisfied them, resulting in a decrease in satisfaction with the travel plan itself.

[1145] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1146] In this invention, the server includes emotion analysis means for analyzing emotions from a user's text using emotion analysis technology, plan generation means for generating an individual travel plan based on the emotion data analyzed by the emotion analysis means and the user's preferences, and video generation means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video. This makes it possible to generate an individual travel plan that corresponds to the user's specific preferences and emotions and provide it as an image video that can be visually confirmed.

[1147] The "input means" is a means for the user to input travel preferences and desired details.

[1148] The "transmission means" is a means for transmitting data input by the input means to the server.

[1149] "Sentiment analysis means" means for receiving data and analyzing emotions from a user's text using sentiment analysis techniques.

[1150] The "plan generating means" is a means for generating an individual travel plan based on the emotion data analyzed by the emotion analyzing means and the user's preferences.

[1151] The "video generating means" is a means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video.

[1152] The "receiving means" is a means for transmitting the generated video to the user's terminal.

[1153] The "playback means" is a means for playing back the video received by the terminal.

[1154] A "generative AI model" is a model that uses artificial intelligence technology to analyze and process user input data and generate appropriate travel plans.

[1155] A "prompt sentence" is an instruction sentence or question sentence that prompts the user to make a specific input or response.

[1156] This invention is a system that allows a user to input their travel preferences and wishes, generates an individual travel plan based on that information using emotion analysis technology and a generative AI model, and provides an image video based on that plan. This system includes input means, transmission means, emotion analysis means, plan generation means, video generation means, reception means, and playback means.

[1157] First, the user accesses a dedicated application or a form on a website using a device (smartphone or PC). The form displays multiple options related to travel, from which the user can select their preferences (e.g., "value for money," "extraordinary feeling," "experiencing local culture," etc.). The user also enters specific requests in a text box (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine").

[1158] Next, the device converts the data entered by the user into JSON format and sends it to the server's API endpoint using the HTTPS protocol. The device generates and sends JSON data in the format "{"preference1": "An extraordinary feeling", "preference2": "Experience the local culture", "request": "I want to take a trip to enjoy ancient ruins and local traditional cuisine"}".

[1159] The server parses the data received at the API endpoint and obtains the user's selections and desired content. This data is passed to a sentiment analysis means, which analyzes emotions from the user's text. For example, if positive emotions such as "excitement," "anticipation," or "surprise" are detected, the server will propose a plan that includes experiences and activities that match those emotions. For example, the server analyzes a desired content such as "I want to visit ancient ruins" and detects positive emotions such as "excitement" and "anticipation."

[1160] After the emotion analysis means analyzes the emotions, the results are passed to the plan generation means. The plan generation means uses a generative AI model to generate a travel plan based on the emotion analysis results and the user's selection. For example, it creates a specific travel plan such as "visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[1161] Next, the server uses a video generation means to create an image video based on the generated travel plan. The video generation means automatically selects photos, video clips, and music related to the travel plan and combines them in a timeline format to create a professional video. The server's operation generates a video that includes scenes of the pyramids, the Sphinx, and a traditional cooking class, for example.

[1162] The completed video is sent from the server to the user's device, which receives the video and plays it back to the user using its built-in playback means. This allows the user to visually visualize the specific travel image, helping them to select a travel plan that satisfies them.

[1163] As a specific example, consider the case where a user selects "an extraordinary experience" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine." The device sends this information to the server, and the server's emotion analysis means analyzes positive emotions from the user's text. Based on this result and the selected preferences, the server's generative AI model generates a specific travel plan: "Visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home." Based on this plan, the video generation means creates a video that evokes the pyramids, the Sphinx, and a traditional cooking class, and sends it to the user's device. The user can watch the video to confirm whether the travel plan matches their wishes.

[1164] An example of a prompt is, "Tell us about your travel goals and preferences. What kind of experience are you hoping to have? For example, please describe your specific wishes, such as, 'I would like to take a trip to enjoy ancient ruins and local traditional cuisine.'"

[1165] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1166] Step 1:

[1167] User data entry

[1168] Users access their device through a dedicated application or website, select their travel preferences in the displayed form (e.g., "value for money," "extraordinary," "experiencing local culture," etc.), and enter specific requests in a text box (e.g., "I'd like to take a trip to enjoy ancient ruins and local traditional cuisine").

[1169] Input: Travel preferences and specific requests

[1170] Output: User input data

[1171] Specific behavior:

[1172] The user selects "an extraordinary feeling" and "experiencing the local culture" and enters "I would like to take a trip to enjoy ancient ruins and local traditional cuisine" in the text box.

[1173] Step 2:

[1174] Sending data

[1175] The terminal converts the data entered by the user into JSON format and sends this JSON data to the server's API endpoint using the HTTPS protocol.

[1176] Input: User-entered data

[1177] Output: JSON formatted data

[1178] Specific behavior:

[1179] The device generates JSON data in the format "{"preference1": "An extraordinary feeling", "preference2": "Experience the local culture", "request": "I want to take a trip to enjoy ancient ruins and local traditional cuisine"}" and sends it to the server.

[1180] Step 3:

[1181] Data reception and analysis

[1182] The server parses the JSON data received at the API endpoint to obtain the user's selections and preferences. This data is passed to a sentiment analyzer, which analyzes the user's text to determine their emotions. If a positive emotion (e.g., "excitement," "anticipation," "surprise," etc.) is detected, the server proposes a plan that includes experiences and activities that match that emotion.

[1183] Input: JSON format data

[1184] Output: Sentiment analysis results and basic data of the user's travel plan

[1185] Specific behavior:

[1186] The server analyzes the request, such as "I want to take a trip to enjoy ancient ruins and local traditional cuisine," and detects positive emotions such as "excitement" and "anticipation."

[1187] Step 4:

[1188] Generate a travel plan

[1189] The server uses a plan generation method based on the emotion analysis results and user selection data to generate a travel plan using a generative AI model. As a specific example, it creates a travel plan to "visit the pyramids and the Sphinx in Cairo, Egypt, and experience a cooking class at a local home."

[1190] Input: Sentiment analysis results and basic data of user's travel plans

[1191] Output: A detailed itinerary

[1192] Specific behavior:

[1193] Based on the results of the sentiment analysis, the server generates a specific travel plan: "Visit the Pyramids and Sphinx in Cairo, Egypt, and take a cooking class at a local home."

[1194] Step 5:

[1195] Image video generation

[1196] The server uses a video generation means based on the generated travel plan to select related images, video clips, and music, and combines them in a timeline format to generate an image video.

[1197] Input: Specific travel plans

[1198] Output: Image video

[1199] Specific behavior:

[1200] The server generates videos that include scenes of the pyramids, the Sphinx, and a traditional cooking class.

[1201] Step 6:

[1202] Video transmission and playback

[1203] The server sends the generated video to the user's device using the HTTPS protocol, and the device stores the received video and plays it back to the user using its built-in playback mechanism.

[1204] Input: Image video

[1205] Output: Video played on the user's device

[1206] Specific behavior:

[1207] The device receives the video, and the user plays it to visually see the pyramids, the Sphinx, and a traditional cooking class.

[1208] An example of a prompt is, "Tell us about your travel goals and preferences. What kind of experience are you hoping to have? Please describe your specific wishes, such as, 'I would like to take a trip to enjoy ancient ruins and local traditional cuisine.'"

[1209] (Application example 2)

[1210] 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."

[1211] Conventional travel plan creation systems have made it difficult for users to visualize specific travel plans that meet their needs. Furthermore, they have been unable to generate travel plans that fully reflect the user's emotions and detailed requests. This makes it difficult to provide travel plans that satisfy the user, and it has been impossible to increase satisfaction in the pre-trip planning stage.

[1212] 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.

[1213] In this invention, the server includes an input means for inputting the user's travel preferences and wishes, a transmission means for transmitting the data input by the input means to the server, a sentiment analysis means for receiving the data and analyzing the user's emotions using a sentiment analysis engine, a plan generation means for receiving the sentiment analysis results and generating an individual travel plan using a generative AI model, a video generation means for generating an image video based on the generated travel plan, a receiving means for transmitting the generated video to the user's terminal, and a playback means for playing the video received on the terminal. This makes it possible to propose a travel plan that reflects the user's emotions and wishes and to generate an image video based on it.

[1214] "User" refers to any individual or organization that uses this system.

[1215] "Travel preferences" refers to a set of characteristics or conditions that a user desires in a trip.

[1216] "Desired content" refers to the details of the trip that the user specifically wants to experience.

[1217] "Input means" refers to an interface that allows a user to input travel preferences and wishes.

[1218] The "transmission means" refers to a function for transmitting data input by the input means to the server.

[1219] "Emotion analysis means" refers to an engine or algorithm for analyzing emotions from user input data.

[1220] "Sentiment analysis engine" refers to a system that uses artificial intelligence models to identify emotions from user input data.

[1221] A "generative AI model" refers to an artificial intelligence model that generates individual travel plans based on a user's emotions and preferences.

[1222] "Plan generation means" refers to the function that creates individual travel plans using a generative AI model.

[1223] "Video generation means" refers to a function that generates a video based on the generated travel plan.

[1224] "Image Video" refers to a professional video that combines images, video clips, and music related to a travel plan.

[1225] "Receiving means" refers to a function for transmitting the generated video to the user's terminal.

[1226] "Playback means" refers to a function for playing back video received on a user's terminal.

[1227] "Terminal" refers to devices used by users, such as smartphones, tablets, and PCs.

[1228] A "prompt sentence" refers to an input sentence that provides the generative AI model with the information it needs to generate a travel plan.

[1229] The system for implementing this invention allows users to input their travel preferences and wishes, and then generates a personalized travel plan based on that information using a sentiment analysis engine and a generative AI model, and then provides an image video based on that plan. Specific embodiments of this system are described below.

[1230] Program processing overview

[1231] User Input and Data Submission

[1232] The user inputs their travel preferences (e.g., "an extraordinary feeling" or "experiencing the local culture") and specific requests (e.g., "I would like to take a trip to enjoy ancient ruins and local traditional cuisine") using the input means of the terminal. The input data is then sent to the server by the transmission means.

[1233] Sentiment Analysis and Plan Generation

[1234] The process on the server side is as follows: First, the received data is passed to the sentiment analysis means, which analyzes the sentiment of the user's input. This sentiment analysis means uses a sentiment analysis engine that uses an advanced natural language processing library (e.g., transformers).

[1235] The analysis results are then fed into a generative AI model (e.g., a GPT-based model), which generates a personalized itinerary based on a prompt. The prompt is an input statement that provides the AI ​​model with the necessary information, such as:

[1236] Prompt Sentence Examples

[1237] "My travel preferences are for an out-of-the-ordinary experience and experiencing the culture of the local people. Specifically, I would like to travel to ancient ruins and enjoy local traditional cuisine."

[1238] Image video generation and distribution

[1239] The generated travel plan is passed to a video generator, which automatically selects images, video clips, and music to match the plan and creates a professional-looking video. For example, the "moviepy" library is used for this video generation.

[1240] Finally, the image video created by the video generation means is sent to the user's terminal through the receiving means. By playing back this video on the user's terminal using the playback means, the user can visually confirm the specific image of the trip.

[1241] Hardware and software used

[1242] Input method: Smartphone, tablet, PC, etc.

[1243] Transmission method: Network communication using the HTTPS protocol

[1244] Sentiment analysis engine: Natural language processing library (e.g., transformers)

[1245] Generative AI model: Generative AI model (e.g., GPT-based model)

[1246] Video generation method: Video editing library (e.g. moviepy)

[1247] Receiving means: Network communication function

[1248] Playback method: Video player

[1249] In this way, by combining emotion analysis with generative AI models, it becomes possible to provide users with travel plans and image videos that match their specific emotions and wishes, making their travel plans even more appealing.

[1250] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1251] Step 1:

[1252] The user inputs their travel preferences and specific wishes using the device's input means. The input data reflects the user's travel wishes and preferences and is saved on the device as specific text information. Smartphones, tablets, PCs, etc. are used as input means. The input data includes preferences such as "an extraordinary feeling" and "experiencing the culture of the local people," as well as specific wishes such as "I would like to take a trip where I can enjoy ancient ruins and local traditional cuisine."

[1253] Step 2:

[1254] The device sends the entered travel preferences and desired details to the server using the HTTPS protocol. The data is formatted in a standardized format such as JSON. Once the data reaches the server via the transmission medium, it is passed to a sentiment analysis engine.

[1255] Step 3:

[1256] The server analyzes the received data using sentiment analysis. Specifically, it uses natural language processing libraries (e.g., transformers) to extract emotions from the input text. This process identifies emotions such as "excitement," "expectation," and "surprise," and generates meta-information based on the user's emotions. The analysis results are output as numerical data or labels corresponding to the emotions.

[1257] Step 4:

[1258] The server inputs the emotion analysis results obtained by the emotion analysis means into a generative AI model. This generative AI model (e.g., a GPT-based model) extracts the user's travel preferences based on the prompt text and generates an appropriate travel plan. This prompt text includes the user's preferences, wishes, and emotion analysis results. For example, the prompt text might be input in the form, "My travel preferences are for an extraordinary experience and experiencing the culture of the local people. Specifically, I would like to take a trip to ancient ruins and enjoy local traditional cuisine." During this process, the AI ​​model suggests appropriate travel destinations and activities.

[1259] Step 5:

[1260] The specific travel plan generated by the generative AI model is passed to the video generation means. The video generation means automatically selects and edits images, video clips, and music according to the travel plan, and generates a professional image video using a video editing library (e.g., moviepy). This video includes visual elements related to the travel plan and is configured to allow the user to visualize the travel plan in detail.

[1261] Step 6:

[1262] The server uses the receiving means to transmit the image video generated by the video generation means to the user's terminal. At this point, the video is securely transmitted using the HTTPS protocol. The user can then view the received video using the playback means of the terminal.

[1263] Step 7:

[1264] The user watches the video played on the device and checks the details of the specific travel plan. This allows the user to visually check in advance whether the travel plan is satisfactory and gives them a more concrete image of the trip. Once this process is complete, the user will have a travel plan that reflects their emotions and wishes.

[1265] 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.

[1266] 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.

[1267] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1268] 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.

[1269] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1270] 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.

[1271] 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).

[1272] 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.

[1273] 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."

[1274] 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.

[1275] 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).

[1276] 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.

[1277] 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.

[1278] 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.

[1279] 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.

[1280] 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.

[1281] 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.

[1282] 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.

[1283] 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.

[1284] 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.

[1285] 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.

[1286] The following is further disclosed regarding the above embodiment.

[1287] (Claim 1)

[1288] an input means for inputting travel preferences and desired details from the user;

[1289] a transmitting means for transmitting the data input by the input means to a server;

[1290] a plan generation means for receiving the data and generating a personalized travel plan using an AI model;

[1291] a video generation means for generating an image video based on the generated travel plan;

[1292] a receiving means for transmitting the generated video to a user terminal;

[1293] a playback means for playing back the video received by the terminal;

[1294] A system including:

[1295] (Claim 2)

[1296] The system of claim 1, wherein the AI ​​model uses natural language processing technology to analyze user input data and generate an appropriate travel plan.

[1297] (Claim 3)

[1298] 2. The system according to claim 1, wherein the video generating means automatically selects images, video clips, and music corresponding to the travel plan to generate the video.

[1299] "Example 1"

[1300] (Claim 1)

[1301] an input means for inputting travel preferences and wishes from the user;

[1302] a transmitting means for converting the data input by the input means into a JSON format and transmitting the converted data to a server;

[1303] a plan generation means for receiving the data and generating a personalized travel plan using an AI model;

[1304] a video generation means for generating a video from photos, video clips, and music based on the generated travel plan;

[1305] a receiving means for transmitting the generated video to a user terminal;

[1306] a playback means for playing back the video received by the terminal;

[1307] A system including:

[1308] (Claim 2)

[1309] The system of claim 1, wherein the AI ​​model uses natural language processing technology to analyze user input data and generate an appropriate travel plan.

[1310] (Claim 3)

[1311] 2. The system according to claim 1, wherein the video generating means automatically selects images, video clips, and music corresponding to the travel plan to generate the video.

[1312] "Application Example 1"

[1313] (Claim 1)

[1314] an input means for inputting preferences and desired contents from the user;

[1315] a transmitting means for transmitting the data input by the input means to a server;

[1316] a plan generation means for receiving the data and generating an individual plan using an AI model;

[1317] a moving image generating means for generating an image moving image based on the generated plan;

[1318] a receiving means for transmitting the generated video to a user terminal;

[1319] a playback means for playing back the video received by the terminal;

[1320] A system including:

[1321] (Claim 2)

[1322] 2. The system of claim 1, wherein the AI ​​model uses natural language processing technology to analyze user input data and generate an appropriate plan.

[1323] (Claim 3)

[1324] 2. The system according to claim 1, wherein the video generation means automatically selects images, video clips, and music corresponding to the plan to generate the video.

[1325] (Claim 4)

[1326] 2. The system according to claim 1, wherein the plan generation means analyzes the user's preferences and allergy information and selects ingredients and recipes to generate an appropriate meal plan.

[1327] (Claim 5)

[1328] 5. The system according to claim 4, wherein the video generation means selects video clips including cooking steps and an introduction to ingredients in order to generate a video that visualizes appropriate ingredients and cooking steps.

[1329] (Claim 6)

[1330] 6. The system of claim 5, wherein the video generation means uses the AI ​​model to create prompts and uses a generative AI to embody cooking steps.

[1331] "Example 2: Combining Emotion Engines"

[1332] (Claim 1)

[1333] an input means for inputting travel preferences and desired details from the user;

[1334] a transmitting means for transmitting the data input by the input means to a server;

[1335] sentiment analysis means for receiving the data and analyzing sentiment from the user's text using sentiment analysis techniques;

[1336] a plan generation means for generating an individual travel plan based on the emotion data analyzed by the emotion analysis means and the user's preferences;

[1337] a video generation means for automatically selecting related images, video clips, and music based on the generated travel plan to generate an image video;

[1338] a transmitting means for transmitting the generated video to a user's terminal;

[1339] a playback means for playing back the video received by the terminal;

[1340] A system including:

[1341] (Claim 2)

[1342] 2. The system according to claim 1, wherein the plan generation means analyzes user input data using a generative AI model and natural language processing technology to generate an appropriate travel plan.

[1343] (Claim 3)

[1344] 2. The system according to claim 1, wherein the video generating means automatically selects images, video clips, and music corresponding to the travel plan to generate the video.

[1345] "Application example 2 when combining emotion engines"

[1346] (Claim 1)

[1347] an input means for inputting travel preferences and desired details from the user;

[1348] a transmitting means for transmitting the data input by the input means to a server;

[1349] emotion analysis means for receiving the data and analyzing the user's emotion using an emotion analysis engine;

[1350] a plan generation means for receiving the emotion analysis result and generating an individual travel plan using a generative AI model;

[1351] a video generation means for generating an image video based on the generated travel plan;

[1352] a receiving means for transmitting the generated video to a user terminal;

[1353] a playback means for playing back the video received by the terminal;

[1354] A system including:

[1355] (Claim 2)

[1356] The system according to claim 1, wherein the generative AI model extracts the user's travel wishes based on a prompt sentence and generates an appropriate travel plan.

[1357] (Claim 3)

[1358] 2. The system according to claim 1, wherein the video generating means automatically selects images, video clips, and music corresponding to the travel plan to generate a professional video. [Explanation of symbols]

[1359] 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. an input means for inputting travel preferences and desired details from the user; a transmitting means for transmitting the data input by the input means to a server; a plan generation means for receiving the data and generating a personalized travel plan using an AI model; a video generation means for generating an image video based on the generated travel plan; a receiving means for transmitting the generated video to a user terminal; a playback means for playing back the video received by the terminal; A system including:

2. The system according to claim 1 , wherein the AI ​​model uses natural language processing technology to analyze user input data and generate an appropriate travel plan.

3. 2. The system according to claim 1, wherein said video generating means automatically selects images, video clips, and music corresponding to the travel plan to generate the video.

Images