system

Abstract

We provide the system. [Solution] An input method for users to input what they want to do on their days off, where they want to go, and their stress levels, A receiving means for receiving information entered by the user, A means of obtaining information for acquiring weather information, A plan generation means that generates an optimal travel plan based on information received from the user and acquired weather information, A means for sending the generated travel plan to the user, A system that includes this.

Description

Technical Field

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

Background Art

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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, it is important to be freed from the stress of work and daily life and spend a fulfilling holiday. However, searching for an optimal travel plan by oneself takes time and effort, and it is even more difficult especially in a highly stressful state. Also, weather information needs to be taken into consideration, and there is a possibility of failure in the plan. Therefore, there is a need for a system that can efficiently provide a travel plan to spend the best holiday and refresh both the mind and body.

Means for Solving the Problems

[0005] The present invention solves the above problems by providing an input means for users to input what they want to do, where they want to go, and their stress level on their days off; a receiving means for receiving information input from the user; an information acquisition means for obtaining weather information; a plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and a transmission means for sending the generated travel plan to the user. Specifically, by providing a plan adjustment means that includes activities with a relaxing effect in the travel plan according to the user's stress level, and a control means that generates a travel plan that includes indoor activities when the weather information indicates bad weather, the present invention provides an optimal travel plan that allows users to reduce stress and have a fulfilling holiday.

[0006] An "input method" is a device or interface for users to input what they want to do on their days off, where they want to go, and their stress levels.

[0007] "Receiving means" refers to a device or system for acquiring and storing information entered by a user.

[0008] "Information acquisition means" refers to a device or system for acquiring external data such as weather information.

[0009] A "plan generation means" is a device or system for creating and generating an optimal travel plan based on information received from the user and acquired weather information.

[0010] "Transmission means" refers to a device or system for transmitting the generated travel plan to the user.

[0011] A "plan adjustment device" is a device or system for including activities that have a relaxing effect in a travel plan, depending on the user's stress level.

[0012] "Control means" refers to a device or system for generating travel plans that include indoor activities when weather information indicates bad weather. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, when an emotion engine is combined. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on information entered by the user and weather data. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[0035] System Configuration

[0036] 1. Input method

[0037] The device provides the user with a form to input what they want to do, where they want to go, and their stress levels. This form may include text fields, dropdown lists, and other elements.

[0038] 2. Receiving means

[0039] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[0040] 3. Information acquisition means

[0041] The server sends a request to an external weather information API to retrieve weather data for the specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information.

[0042] 4. Plan generation means

[0043] The server analyzes user input and acquired weather data to generate the optimal travel plan. For example, it might include outdoor activities on sunny days and indoor activities on rainy days.

[0044] 5. Transmission method

[0045] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[0046] 6. Plan adjustment means

[0047] If a user's stress level is high, the server will add relaxing activities to their plan, such as booking a hot spring or massage.

[0048] 7. Control means

[0049] If the weather is bad, the server will include indoor activities in the plan. For example, visits to museums or movie theaters might be considered.

[0050] Program processing

[0051] 1. User Input Phase

[0052] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The user fills out this form and presses the submit button.

[0053] 2. Data reception and processing

[0054] The data entered by the user is sent from the terminal to the server. The server receives this data and begins processing it.

[0055] 3. Gathering weather information

[0056] The server sends a request to the weather information API based on the date and location requested by the user, and retrieves the relevant weather data.

[0057] 4. Creating a travel plan

[0058] The server analyzes user data and weather information to generate the optimal travel plan. The user's stress level is also taken into consideration, and relaxing activities are added as needed.

[0059] 5. Submit and confirm your plan

[0060] The server generates a plan and sends it to the device. The device displays the plan to the user, who then reviews and, if necessary, makes modifications.

[0061] Specific example

[0062] For example, if a user enters "I want to go hiking," selects "mountains" as the destination, and sets their stress level to "high," this data is sent to the server. If the server receives data such as "sunny, temperature 20°C" from the weather information API, the server will generate the following travel plan based on this.

[0063] Morning: Hiking in the mountains

[0064] Lunch: Lunch in the picnic area

[0065] Afternoon: Forest bathing and a short rest

[0066] Evening: Relax at a nearby hot spring facility.

[0067] This plan is sent to the device and displayed to the user. The user reviews the plan and makes any necessary modifications.

[0068] In this way, this system helps users obtain the optimal travel plan without any effort and enjoy a fulfilling holiday.

[0069] The following describes the processing flow.

[0070] Step 1:

[0071] The user accesses an input form on their device. The device displays input fields for what the user wants to do, where they want to go, and their stress level.

[0072] Step 2:

[0073] The user enters the required information into the form. When the user presses the "Submit" button, the device sends the entered information to the server.

[0074] Step 3:

[0075] The server uses a receiving mechanism to receive data sent by the user (things they want to do, places they want to go, stress levels). This aggregates data regarding the user's desires and stress levels.

[0076] Step 4:

[0077] The server uses its information retrieval method to send a request to the weather information API to obtain weather data for the specified date, time, and location. The request includes the date and location specified by the user.

[0078] Step 5:

[0079] The weather information API returns weather information to the server. The server analyzes the returned data to obtain specific weather conditions, temperature, wind speed, etc., for the relevant date, time, and location.

[0080] Step 6:

[0081] The server uses a plan generation mechanism to analyze user input information and acquired weather data. Based on the analysis results, it selects outdoor activities if the weather is sunny, and indoor activities if it is raining.

[0082] Step 7:

[0083] The server uses a plan adjustment mechanism to consider the user's stress level. If stress levels are high, relaxing activities (such as hot springs or massages) are added to the travel plan.

[0084] Step 8:

[0085] The server generates the final travel plan, formats the plan details, and prepares to send them to the terminal.

[0086] Step 9:

[0087] The server uses a transmission method to send the generated travel plan to the terminal.

[0088] Step 10:

[0089] The device displays the plan details to the user. The user reviews the details and modifies parts of the plan if necessary.

[0090] Step 11:

[0091] The user reviews and approves the final plan. If the user is satisfied with the plan, they press the "Approve" button to proceed to the preparation phase.

[0092] Step 12:

[0093] Based on the user's confirmed plan, necessary preparations will be made. This includes confirming transportation to the designated location and what items to bring.

[0094] Step 13:

[0095] Users spend their holidays according to their pre-determined plans. This allows for ideal refreshment and rest, enabling them to approach the following week's work with a positive attitude.

[0096] (Example 1)

[0097] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0098] Traditional travel planning systems required users to individually create plans based on weather information and their own preferences, which was time-consuming and made it difficult to select appropriate relaxation activities that took stress levels into consideration. Furthermore, flexible responses to sudden weather changes were required. Therefore, there was a need for a system that would allow users to easily obtain optimal travel plans while also taking weather and stress levels into account.

[0099] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0100] In this invention, the server includes input means for the user to input what they want to do on their day off, where they want to go, and their stress level; receiving means for receiving information input from the user; information acquisition means for obtaining weather information; plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and transmission means for sending the generated travel plan to the user. This makes it possible for the user to obtain an optimal travel plan that takes weather and stress levels into consideration without any effort on their part.

[0101] "Input means" refers to a device or function that provides an interface for users to input information such as what they want to do on their days off, places they want to go, and their stress levels.

[0102] "Receiving means" refers to a device or function for receiving information transmitted by a user via input means.

[0103] "Information acquisition means" refers to a device or function for acquiring weather data from external weather information providers.

[0104] "Plan generation means" refers to a device or function that automatically generates an optimal travel plan based on information received from the user and weather information obtained from information acquisition means.

[0105] "Transmission means" refers to a device or function for transmitting the generated travel itinerary to the user.

[0106] A "plan adjustment means" is a device or function that automatically adds or adjusts relaxing activities to a travel plan according to the user's stress level.

[0107] "Control means" refers to a device or function for automatically generating travel plans, including indoor activities, when weather information indicates bad weather.

[0108] A "travel plan" is a specific travel schedule and activity plan generated based on the user's preferences and weather information.

[0109] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on user input and weather data. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[0110] Hardware and software to be used

[0111] Input method: The user interface uses a smartphone or PC browser. The form includes text fields, dropdown lists, buttons, etc.

[0112] Receiving method: Data is sent from the terminal to the server using the HTTP protocol. User-entered information is sent in JSON format.

[0113] Information acquisition method: Weather data is obtained using an external weather information API (e.g., OpenWeatherMap API). API requests are made using the HTTP protocol.

[0114] Plan generation method: A generation AI model (e.g., GPT-3®) running on a server is used. Prompt messages are generated based on user input information and acquired weather data, and input into the AI ​​model.

[0115] Transmission method: The generated travel plan is sent to the terminal in JSON format using the HTTP protocol. The terminal displays the received data in the user interface.

[0116] Planning adjustment mechanism: An algorithm is implemented on the server to add relaxing activities according to the user's stress level.

[0117] Control mechanism: Implement logic on the server to recommend indoor activities in case of bad weather.

[0118] Specific example

[0119] For example, if a user enters "I want to go hiking," selects "mountains" as the destination, and sets their stress level to "high," this data is sent to the server in JSON format. When the server receives data such as "sunny, temperature 20°C" from the weather information API, it generates the following prompt message and inputs it into the generating AI model.

[0120] "The user wants to hike, travel to the mountains, the weather is sunny, the temperature is 20°C, and their stress level is high. Please generate the optimal travel plan."

[0121] The generative AI model generates the following travel plan based on this prompt.

[0122] Morning: Hiking in the mountains

[0123] Lunch: Lunch in the picnic area

[0124] Afternoon: Forest bathing and a short rest

[0125] Evening: Relax at a nearby hot spring facility.

[0126] This plan is sent from the server to the terminal, which then displays it in the user interface. The user reviews this plan and makes any necessary modifications.

[0127] This system allows users to easily obtain the optimal travel plan and enjoy a fulfilling holiday without any effort.

[0128] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0129] Step 1: User Input Phase

[0130] Specific operation: The device displays a dedicated form to the user. The form includes fields for entering "what you want to do," "where you want to go," and "stress level."

[0131] Input: The user enters information such as "I want to go hiking," "mountain," and "high stress level."

[0132] Output: The information entered by the user is sent to the terminal.

[0133] Step 2: Data reception and processing

[0134] Specific operation: Information entered by the user is sent from the terminal to the server, and the server receives this data.

[0135] Input: JSON data containing user preferences sent from the device.

[0136] Data processing: The server analyzes the received data and extracts the information needed for the next step.

[0137] Output: Extracted data on user preferences and stress levels.

[0138] Step 3: Gathering weather information

[0139] Specific operation: The server sends a request to an external weather information API (e.g., OpenWeatherMap API).

[0140] Input: Information about the date and location specified by the user.

[0141] Data processing: The server sends an API request to retrieve the relevant weather data.

[0142] Output: Acquired weather information (weather conditions, temperature, wind speed, etc.).

[0143] Step 4: Creating a travel plan

[0144] Specific operation: The server uses user input information and acquired weather data to input prompt messages into a generating AI model to create the optimal travel plan.

[0145] Input: User preferences, stress levels, and weather information.

[0146] Prompt: "The user wants to hike, travel to the mountains, the weather is sunny, the temperature is 20°C, and their stress level is high. Please generate the optimal travel plan."

[0147] Data processing: A generative AI model analyzes prompt sentences and generates the optimal travel plan.

[0148] Output: Generated travel plan (morning: hiking in the mountains, lunch: lunch at a picnic area, afternoon: forest bathing, evening: relaxing at a hot spring facility).

[0149] Step 5: Submit and confirm your plan

[0150] Specific operation: The server generates a travel plan and sends it to the terminal.

[0151] Input: Generated travel plan.

[0152] Output: The terminal displays the received travel plan in the user interface for the user to confirm.

[0153] In this way, the system allows users to obtain the optimal travel plan through specific inputs, data processing, data calculations, and outputs at each step.

[0154] (Application Example 1)

[0155] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0156] Conventional travel plan generation systems generate travel plans based on user input and weather data, but they are not compatible with use in autonomous vehicles. Furthermore, there is no mechanism to directly transmit the generated plan to the vehicle's display or navigation system, requiring users to manually configure it. Additionally, there is insufficient mechanism for automatically making appropriate real-time adjustments based on weather and stress levels.

[0157] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0158] In this invention, the server includes input means for the user to input what they want to do on their day off, where they want to go, and their stress level; receiving means for receiving information input from the user; information acquisition means for obtaining weather information; plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and transmission means for transmitting the generated travel plan to the vehicle's display and navigation system. This makes it possible for the user to automatically perform everything from generating and displaying a travel plan to setting the navigation system within the autonomous vehicle.

[0159] An "input device" is a device that provides an interface for users to input what they want to do on their days off, where they want to go, and their stress levels.

[0160] A "receiving device" is a device that has the function of receiving information entered by a user and sending it to a server.

[0161] "Information acquisition means" refers to a mechanism for obtaining weather information from external services.

[0162] A "plan generation device" is a device that has an algorithm to generate the optimal travel plan based on information received from the user and acquired weather information.

[0163] "Transmission means" refers to a mechanism that transmits the generated travel plan to the vehicle's display and navigation system.

[0164] A "plan adjustment device" is a device that has the function of including activities with a relaxing effect in the travel plan according to the user's stress level.

[0165] The "control means" is a mechanism that generates a travel plan, including indoor activities, when weather information indicates bad weather.

[0166] A "vehicle display" is a screen installed inside an autonomous vehicle that visually displays information.

[0167] A "navigation system" is a system that guides you to your destination based on the vehicle's location information.

[0168] An "autonomous vehicle" is a vehicle that can operate automatically without requiring driver intervention.

[0169] This invention relates to a system that automatically generates an optimal travel plan based on user input and weather data, and provides it within an autonomous vehicle. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[0170] System Configuration

[0171] 1. Input method:

[0172] The device provides an interface for users to input what they want to do on their days off, where they want to go, and their stress levels. This includes text fields and dropdown lists.

[0173] 2. Receiving means:

[0174] It has the function of receiving information entered from a terminal and sending it to the server.

[0175] 3. Information acquisition means:

[0176] The server uses an external weather information API to obtain weather information. This allows it to collect weather data for the date and location requested by the user.

[0177] 4. Plan generation means:

[0178] The server generates an optimal travel plan based on information received from the user and acquired weather information. For example, it might include outdoor activities on sunny days and indoor activities on bad weather days.

[0179] 5. Transmission method:

[0180] The server transmits the generated travel plan to the vehicle's display and navigation system. This allows the user to review and execute the plan.

[0181] 6. Plan adjustment methods:

[0182] Depending on the user's stress level, relaxing activities will be included in the travel plan. For example, reservations at hot springs or massage parlors may be considered.

[0183] 7. Control means:

[0184] If the weather is bad, the server will include indoor activities in the plan, such as visits to museums or movie theaters.

[0185] System operation

[0186] This system is designed for use in autonomous vehicles. Before or during boarding, the user enters information using the vehicle's display to generate a travel plan. The entered information is sent from the terminal to a server, which collects weather information and generates the optimal travel plan. The generated plan is then sent to the vehicle's display and navigation system.

[0187] Specific example

[0188] For example, if a user enters "Mountain" as the "Place to go," sets "Hiking" as the "Activity to do," and selects "2023-10-10" as the date, the weather data API will return "Sunny, temperature 20°C" as the weather for "2023-10-10." Based on this, the server will generate the following travel plan.

[0189] Morning: Hiking in the mountains

[0190] Lunch: Lunch in the picnic area

[0191] Afternoon: Forest bathing and a short rest

[0192] Evening: Relax at a nearby hot spring facility.

[0193] Example of a prompt

[0194] Input: As information to generate a travel plan, the user entered the desired location "Mountain," the activity "Hiking," the planned visit date "2023-10-10," and the user's stress level "High." The weather data API returned the data "Sunny, temperature 20°C."

[0195] Output: Travel plan including the following elements:

[0196] Morning: Hiking in the mountains

[0197] Lunch: Lunch in the picnic area

[0198] Afternoon: Forest bathing and a short rest

[0199] Evening: Relax at a nearby hot spring facility.

[0200] This system allows users to automatically generate and display travel plans and configure navigation settings all within an autonomous vehicle.

[0201] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0202] Step 1:

[0203] Users use the vehicle's display to input their "things they want to do," "places they want to go," and "stress levels." The entered data is collected as specific details in text fields and dropdown lists.

[0204] input:

[0205] Things I want to do: Hiking

[0206] Places I want to go: Mountains

[0207] Stress level: High

[0208] output:

[0209] Set of input data

[0210] Specific actions:

[0211] The user operates the interface on the display to input information and presses the input button.

[0212] Step 2:

[0213] The terminal receives data entered by the user and sends it to the server. The input information is sent as a request to the server's API via the terminal's communication module.

[0214] input:

[0215] User input data

[0216] output:

[0217] User input data sent to the server

[0218] Specific actions:

[0219] The terminal's communication module receives user input and sends an HTTP POST request to the server.

[0220] Step 3:

[0221] The server sends a request to an external weather information API to retrieve weather data. Weather data for the specified date and location is returned.

[0222] input:

[0223] Planned visit date and places you want to visit

[0224] output:

[0225] Weather data (e.g., sunny, temperature 20°C)

[0226] Specific actions:

[0227] The server sends an API request to the weather information service and receives weather data as a response.

[0228] Step 4:

[0229] The server generates an optimal travel plan based on information received from the user and acquired weather data. A generation AI model is used to select the most suitable activities for the user's situation.

[0230] input:

[0231] User input data

[0232] Weather data

[0233] output:

[0234] A generated travel plan (e.g., morning: hiking in the mountains)

[0235] Specific actions:

[0236] The server inputs user data and weather data into the generated AI model and generates a travel plan based on the prompt messages.

[0237] Step 5:

[0238] The server sends the generated travel plan to the vehicle's display and navigation system. The travel plan is displayed as a visual form and navigation route.

[0239] input:

[0240] Generated travel plan

[0241] output:

[0242] Plans displayed on the display and navigation system

[0243] Specific actions:

[0244] The server sends the generated plan to the terminal, which then displays it on its display and navigation system so that the user can visually confirm it.

[0245] Step 6:

[0246] The server includes relaxing activities in the travel plan based on the user's stress level. If necessary, it selects and incorporates additional activities into the plan.

[0247] input:

[0248] User stress levels

[0249] output:

[0250] Final plan includes activities with a relaxing effect.

[0251] Specific actions:

[0252] The server adjusts the plan to include relaxing activities (e.g., visiting a hot spring facility) based on the user's stress level.

[0253] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0254] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on user input, weather data, and the user's emotions. This system consists of an input means, a receiving means, an information acquisition means, a plan generation means, a transmission means, a plan adjustment means, a control means, and an emotion engine.

[0255] System Configuration

[0256] 1. Input method

[0257] The device displays a form for the user to input what they want to do, where they want to go, and their stress level. This form includes text fields and dropdown lists.

[0258] 2. Receiving means

[0259] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[0260] 3. Information acquisition means

[0261] The server sends a request to an external weather information API to retrieve weather data for the specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information.

[0262] 4. Plan generation means

[0263] The server analyzes user input and acquired weather data to generate the optimal travel plan. For example, it might include outdoor activities on sunny days and indoor activities on rainy days.

[0264] 5. Transmission method

[0265] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[0266] 6. Plan adjustment means

[0267] If a user's stress level is high, the server will add relaxing activities to their plan, such as booking a hot spring or massage.

[0268] 7. Control means

[0269] If the weather is bad, the server will include indoor activities in the plan. For example, visits to museums or movie theaters might be considered.

[0270] 8. Emotional Engine

[0271] The device analyzes the user's emotions based on facial recognition and voice tone. For example, by having the user speak into the camera, the device analyzes their emotions (joy, sadness, anger, etc.) in real time.

[0272] 9. Integrated analysis of emotions and stress

[0273] The server integrates and analyzes the results received from the emotion engine with the user's inputted stress levels, and incorporates activities that have an overall stress-reducing effect into the plan.

[0274] Program processing

[0275] 1. User Input Phase

[0276] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The user fills out this form and presses the submit button.

[0277] 2. Data reception and processing

[0278] The data entered by the user is sent from the terminal to the server. The server receives this data and begins processing it.

[0279] 3. Collection of Weather Information

[0280] The server sends a request to the weather information API based on the date and location desired by the user, and obtains the corresponding weather data.

[0281] 4. Emotion Recognition

[0282] The terminal analyzes the emotion from the user's expression and voice tone, and sends the result to the server.

[0283] 5. Generation of Travel Plan

[0284] The server analyzes the user's data, the obtained weather information, and the emotion data, and generates an optimal travel plan. The user's stress situation is also considered, and relaxation activities are added as necessary.

[0285] 6. Plan Sending and Confirmation

[0286] The server sends the generated plan to the terminal. The terminal displays the plan to the user, and the user can confirm and, if necessary, modify it.

[0287] Specific Example

[0288] For example, if the user enters "want to go to the beach", selects "coast" as the place to go, and the stress situation is analyzed as "medium" and the emotion is "a little tired", this data is sent to the server. If the server receives data such as "sunny, temperature 25°C" from the weather information API, the server generates the following travel plan based on this.

[0289] Morning: Walking on the beach

[0290] Lunch: Lunch at a seaside café

[0291] Afternoon: Snorkeling

[0292] Evening: Relax at a nearby resort spa.

[0293] This plan is sent to the device and displayed to the user. The user can review the plan and make modifications as needed.

[0294] In this way, this system helps users obtain the optimal travel plan without effort and enjoy a fulfilling holiday. By adding an emotion engine, it becomes possible to create even more personalized plans for individual users, providing them with an even more valuable vacation.

[0295] The following describes the processing flow.

[0296] Step 1:

[0297] The user accesses an input form on their device. The device displays input fields for what the user wants to do, where they want to go, and their stress level.

[0298] Step 2:

[0299] The user enters the required information into the form. When the user presses the "Submit" button, the device sends the entered information to the server.

[0300] Step 3:

[0301] The server uses a receiving mechanism to receive data sent by the user (things they want to do, places they want to go, stress levels). This aggregates data regarding the user's desires and stress levels.

[0302] Step 4:

[0303] The server uses its information retrieval method to send a request to the weather information API to obtain weather data for the specified date, time, and location. The request includes the date and location specified by the user.

[0304] Step 5:

[0305] The weather information API returns weather information to the server. The server analyzes the returned data to obtain the specific weather conditions, temperature, wind speed, etc. at the corresponding date and time and location.

[0306] Step 6:

[0307] The terminal activates the emotion engine to analyze the user's emotion from face recognition and voice tone. When the user speaks towards the camera, the terminal analyzes the emotion (such as joy, sadness, anger, etc.) in real time and sends the result to the server.

[0308] Step 7:

[0309] The server uses the plan generation means to perform analysis based on the user's input information, the obtained weather data, and the emotion data. According to the analysis result, if the weather is sunny, outdoor activities are selected; if it is rainy, indoor activities are selected.

[0310] Step 8:

[0311] The server uses the plan adjustment means to consider the user's stress situation and emotional state. When the stress is high or the emotion is tired, activities with a relaxation effect (such as hot spring facilities and massages) are added to the travel plan.

[0312] Step 9:

[0313] The server generates the final travel plan and prepares to format the plan content and send it to the terminal.

[0314] Step 10:

[0315] The server uses the transmission means to send the generated travel plan to the terminal.

[0316] Step 11:

[0317] The device displays the plan details to the user. The user reviews the details and modifies parts of the plan if necessary.

[0318] Step 12:

[0319] The user reviews and approves the final plan. If the user is satisfied with the plan, they press the "Approve" button to proceed to the preparation phase.

[0320] Step 13:

[0321] Based on the user's confirmed plan, necessary preparations will be made. This includes confirming transportation to the designated location and what items to bring.

[0322] Step 14:

[0323] Users spend their holidays according to their pre-determined plans. This allows for ideal refreshment and rest, enabling them to approach the following week's work with a positive attitude.

[0324] (Example 2)

[0325] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0326] Current travel plan generation systems can provide plans based on user preferences and weather information, but they lack the ability to generate personalized travel plans that take into account the user's emotions and stress levels. Furthermore, they lack the functionality to analyze the user's emotions in real time and adjust the plan based on the results, making it difficult to provide the optimal plan tailored to the user's psychological state.

[0327] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0328] In this invention, the server includes an input means for the user to input what they want to do on their day off, where they want to go, and their stress level; a receiving means for receiving information input from the user; an information acquisition means for obtaining weather information; an emotion recognition means for analyzing the user's emotions from facial recognition and voice tone; an emotion data processing means for adjusting the travel plan based on the analyzed emotion data; and a transmission means for sending the generated travel plan to the user. This makes it possible to generate a personalized travel plan that takes into account the user's emotions and stress level.

[0329] An "input means" is a device or interface for a user to input what they want to do, where they want to go, or their stress levels.

[0330] "Receiving means" refers to a device or function that receives information entered by a user and transmits it to a server for processing.

[0331] "Information acquisition means" refers to a device or function that sends requests to external information sources (e.g., weather information APIs) to acquire weather information and collects the necessary data.

[0332] A "plan generation means" is a device or function that automatically generates an optimal travel plan based on information received from the user and acquired weather information.

[0333] "Emotion recognition means" refers to a device or function that analyzes the user's facial recognition or voice tone to sense the user's emotions in real time.

[0334] "Emotional data processing means" refers to a device or function that adjusts a travel plan based on analyzed emotional data and generates a plan that is optimal for the user's psychological state.

[0335] "Transmission means" refers to a device or function that transmits the generated travel plan to the user's terminal and displays it to the user.

[0336] "Relaxing activities" refer to activities or experiences that reduce user stress and promote relaxation.

[0337] "Weather information" refers to data such as weather conditions (e.g., sunny, rainy, cloudy), temperature, and wind speed at a specified date, time, and location.

[0338] This invention is a system that automatically generates and provides an optimal travel plan to the user based on user input information, weather data, and the user's emotions. The system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, control means, emotion recognition means, and emotion data processing means.

[0339] System components

[0340] 1. Input method

[0341] The device displays a form for the user to input what they want to do, where they want to go, and their stress level. This form includes text fields and dropdown lists.

[0342] 2. Receiving means

[0343] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[0344] 3. Information acquisition means

[0345] The server sends a request to an external weather information API to retrieve weather data for a specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information. For example, the OpenWeatherMap API can be used.

[0346] 4. Emotion recognition means

[0347] The device analyzes the user's facial recognition and voice tone to sense their emotions in real time. For example, it utilizes Microsoft® Azure® Face API or Google® Cloud's Speech-to-Text API.

[0348] 5. Plan generation means

[0349] The server analyzes user input information, acquired weather data, and sentiment data to generate an optimal travel plan. Machine learning models (such as TENSORFLOW® or PyTorch) can be used for this analysis.

[0350] 6. Emotional Data Processing Means

[0351] Based on analyzed emotional data, the travel plan is adjusted to generate a plan best suited to the user's psychological state. For example, if the user is feeling stressed, relaxing activities will be included in the travel plan.

[0352] 7. Transmission method

[0353] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[0354] Specific example

[0355] For example, if a user inputs "I want to go to the beach," selects "coastline" as the destination, and the analysis determines their stress level to be "moderate" and their emotion to be "somewhat tired," this data is sent to the server. Let's assume the following prompt is input into the generating AI model.

[0356] Example of a prompt

[0357] "The user entered 'I want to go to the beach' and selected 'coastline' as their destination. Their stress level is analyzed as moderate, and their emotion as slightly tired. The weather forecast for the next day is sunny with a temperature of 25°C. Please generate the optimal travel plan."

[0358] If the server receives data from the weather information API indicating "sunny, temperature 25°C," the server will generate the following travel plan based on this information.

[0359] Morning: Walking on the beach

[0360] Lunch: Lunch at a seaside cafe

[0361] Afternoon: Snorkeling

[0362] Evening: Relax at a nearby resort spa.

[0363] This plan is sent to the device and displayed to the user. The user can review the plan and make modifications as needed. In this way, the system helps users obtain the optimal travel plan with minimal effort and enjoy a fulfilling holiday. By adding emotion recognition capabilities, it becomes possible to create even more personalized plans for each user, providing them with an even more valuable vacation.

[0364] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0365] Step 1: User Input Phase

[0366] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The form includes text fields and dropdown lists. When the user enters information and presses the submit button, the input data is sent to the device. The input data may include phrases such as "I want to go to the beach," "coastline," and "moderate stress."

[0367] Input: User input information (things you want to do, places you want to go, stress level)

[0368] Output: Input data is sent to the terminal.

[0369] Step 2: Data reception and processing

[0370] The terminal sends user input data to the server. The server receives this data and stores it in a database or log for analysis. The stored data is then formatted for analysis.

[0371] Input: User input data sent from the terminal.

[0372] Output: The formatted data is saved to the server.

[0373] Step 3: Gathering weather information

[0374] The server sends a request to a weather information API based on the user's requested date and location. For example, it uses the OpenWeatherMap API to retrieve weather data for the specified date, time, and location. The retrieved weather data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, and wind speed.

[0375] Input: User's preferred date and location

[0376] Output: Acquired weather data (e.g., sunny, temperature 25°C)

[0377] Step 4: Emotion Recognition

[0378] The device analyzes the user's facial recognition and voice tone to sense their emotions in real time. For example, it uses Microsoft Azure's Face API or Google Cloud's Speech-to-Text API to analyze the user's emotions. The analyzed emotion data is sent to a server.

[0379] Input: User facial recognition and voice tone data

[0380] Output: Analyzed emotional data (e.g., slightly tired)

[0381] Step 5: Creating a travel plan

[0382] The server analyzes user input, acquired weather data, and sentiment data. Using machine learning models such as TensorFlow and PyTorch, it generates an optimal travel plan. The generated travel plan includes activities that take into account the user's stress levels and emotions.

[0383] Input: User input information, weather data, sentiment data

[0384] Output: Generated travel plan

[0385] Step 6: Submit and confirm your plan.

[0386] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then reviews it and makes any necessary modifications.

[0387] Input: Generated travel plan

[0388] Output: Travel plan displayed to the user

[0389] Through a clear and efficient process, users can effortlessly obtain the optimal travel plan and enjoy a fulfilling holiday. This system takes into account the user's emotions and stress levels, and can even create personalized plans tailored to each individual user.

[0390] (Application Example 2)

[0391] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0392] Conventional travel plan generation systems had the problem of not considering the user's emotions or mood, and therefore being unable to suggest the optimal trip and food delivery that matched the user's feelings at the time. Furthermore, the difficulty in fine-tuning the plan based on weather conditions and the user's stress level was also a challenge.

[0393] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for the user to input what they want to do on their day off, where they want to go, and their stress level; an emotion analysis means for analyzing the user's emotions; a plan generation means for generating an optimal travel plan based on information received from the user, acquired weather information, and analyzed emotion data; and a transmission means for sending the generated travel plan to the user. This makes it possible to generate an optimal travel plan that takes into account the user's emotions and stress level, as well as suggest appropriate restaurants and dining establishments.

[0394] "Input methods" refer to the means by which users input what they want to do on their days off, where they want to go, and their stress levels.

[0395] "Receiving means" refers to the means of receiving information entered by the user.

[0396] "Information acquisition means" refers to the means of obtaining weather information.

[0397] "Emotional analysis tools" are methods for analyzing a user's emotions.

[0398] A "plan generation method" is a means for generating an optimal travel plan based on information received from the user, acquired weather information, and analyzed sentiment data.

[0399] "Transmission means" refers to the means for sending the generated travel plan to the user.

[0400] A "plan adjustment method" is a means of including activities that have a relaxing effect in the travel plan, depending on the user's stress level.

[0401] "Control means" refers to means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[0402] The "food delivery function" is a feature that suggests appropriate dishes and dining establishments based on the results of sentiment analysis.

[0403] This invention is a system that automatically generates and provides optimal travel plans and food delivery suggestions to users based on information entered by the user, weather data, and the user's emotions. This system includes multiple means, such as input means, receiving means, information acquisition means, emotion analysis means, plan generation means, and transmission means.

[0404] System program

[0405] This system is implemented using Python. It uses the Requests library to call external weather information APIs and sentiment analysis APIs. This allows it to generate optimal travel plans and food delivery suggestions based on user input data, weather data, and sentiment data.

[0406] Program processing

[0407] 1. Hardware: Smartphone camera, internet connection

[0408] 2. Software: Python, Requests library

[0409] 3. Data processing and data calculation:

[0410] Obtaining weather data: The server obtains current weather data from a weather information API. Weather information includes sunny / rainy conditions, wind speed, temperature, etc.

[0411] Emotion Analysis: The device captures the user's facial expressions and voice and sends them to an emotion analysis API. This analysis classifies the user's emotions as "joy," "sadness," "anger," etc.

[0412] Generating the optimal travel plan: The server generates the optimal travel plan based on the received information, weather data, and emotion data. For example, outdoor activities are recommended on sunny days, and active plans are recommended if the emotion is "joyful."

[0413] Food delivery suggestions: The server suggests appropriate dishes and dining establishments based on emotional data. For example, if the emotion is "sad," a warm meal will be suggested.

[0414] Specific example

[0415] For example, if a user enters "I want to go to the beach," sets their stress level to "moderate," and the emotion analysis result is "slightly tired," this data is sent to the server. If the server receives data of "sunny, temperature 25°C" from the weather information API, the generated travel plan will be as follows.

[0416] Morning: Walking on the beach

[0417] Lunch: Lunch at a seaside cafe

[0418] Afternoon: Snorkeling

[0419] Evening: Relax at a nearby resort spa.

[0420] This plan is sent to the device and displayed to the user. Furthermore, because the user appears somewhat tired, a relaxing meal (e.g., soup) is suggested.

[0421] Example of a prompt

[0422] Examples of prompt statements for a generative AI model are as follows:

[0423] "Create an application that suggests optimal travel plans and food delivery based on weather data and user sentiment data. Write code that analyzes user input data (desired destination), weather data, and sentiment data to suggest appropriate plans and meals. Use Python and the Requests library to call external weather information APIs and sentiment analysis APIs."

[0424] As described above, the present invention can propose an optimal travel plan and food delivery service, taking into account the user's emotions and stress level. This allows users to enjoy a personalized travel and dining experience and have a fulfilling holiday.

[0425] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0426] Step 1:

[0427] The user opens a smartphone application and enters what they want to do, where they want to go, and their stress level. The entered data may include, for example, "I want to go to the beach," "coastline," and "stress level: moderate." This user input is sent to the server as input data.

[0428] Step 2:

[0429] The terminal receives information entered by the user. This information includes data about the user's desired destinations, activities, and stress levels. This data is aggregated on a server and used in the next step.

[0430] Step 3:

[0431] The server sends a request to an external weather information API to retrieve weather data for a specified date, time, and location. This request includes location information entered by the user. The returned weather data may include, for example, "sunny, temperature 25°C." This data is then stored on the server as weather data.

[0432] Step 4:

[0433] The device captures the user's facial expression with its camera and sends the image data to an emotion analysis API. The emotion analysis API analyzes the user's emotions, obtains emotion data such as "slightly tired," "happy," or "sad," and sends it to the server. This data is then stored on the server as emotion data.

[0434] Step 5:

[0435] The server generates an optimal travel plan based on user input, weather data, and sentiment data. This step utilizes a plan generation method. For example, if it's a sunny day and the user is "somewhat tired," a plan such as "Morning: Walking on the beach," "Lunch: Lunch at a seaside cafe," "Afternoon: Snorkeling," and "Evening: Relaxing at a nearby resort spa" might be generated.

[0436] Step 6:

[0437] The server generates a travel plan and sends it to the device. The device displays the generated travel plan to the user for review. The user can also make changes to the plan at this point.

[0438] Step 7:

[0439] The server suggests appropriate dishes and dining establishments based on emotional data. For example, if the user's emotional state is "somewhat tired," a relaxing "warm soup" might be suggested. This food delivery suggestion is adjusted based on the user's emotional state.

[0440] Through the above processing steps, users can receive optimal travel plans and food delivery suggestions based on their emotions, weather, and stress levels.

[0441] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0442] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0443] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0444] [Second Embodiment]

[0445] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0446] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0447] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0448] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0449] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0450] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0451] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0452] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0453] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0454] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0455] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0456] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0457] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on information entered by the user and weather data. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[0458] System Configuration

[0459] 1. Input method

[0460] The device provides the user with a form to input what they want to do, where they want to go, and their stress levels. This form may include text fields, dropdown lists, and other elements.

[0461] 2. Receiving means

[0462] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[0463] 3. Information acquisition means

[0464] The server sends a request to an external weather information API to retrieve weather data for the specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information.

[0465] 4. Plan generation means

[0466] The server analyzes user input and acquired weather data to generate the optimal travel plan. For example, it might include outdoor activities on sunny days and indoor activities on rainy days.

[0467] 5. Transmission method

[0468] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[0469] 6. Plan adjustment means

[0470] If a user's stress level is high, the server will add relaxing activities to their plan, such as booking a hot spring or massage.

[0471] 7. Control means

[0472] If the weather is bad, the server will include indoor activities in the plan. For example, visits to museums or movie theaters might be considered.

[0473] Program processing

[0474] 1. User Input Phase

[0475] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The user fills out this form and presses the submit button.

[0476] 2. Data reception and processing

[0477] The data entered by the user is sent from the terminal to the server. The server receives this data and begins processing it.

[0478] 3. Gathering weather information

[0479] The server sends a request to the weather information API based on the date and location requested by the user, and retrieves the relevant weather data.

[0480] 4. Creating a travel plan

[0481] The server analyzes user data and weather information to generate the optimal travel plan. The user's stress level is also taken into consideration, and relaxing activities are added as needed.

[0482] 5. Submit and confirm your plan

[0483] The server generates a plan and sends it to the device. The device displays the plan to the user, who then reviews and, if necessary, makes modifications.

[0484] Specific example

[0485] For example, if a user enters "I want to go hiking," selects "mountains" as the destination, and sets their stress level to "high," this data is sent to the server. If the server receives data such as "sunny, temperature 20°C" from the weather information API, the server will generate the following travel plan based on this.

[0486] Morning: Hiking in the mountains

[0487] Lunch: Lunch in the picnic area

[0488] Afternoon: Forest bathing and a short rest

[0489] Evening: Relax at a nearby hot spring facility.

[0490] This plan is sent to the device and displayed to the user. The user reviews the plan and makes any necessary modifications.

[0491] In this way, this system helps users obtain the optimal travel plan without any effort and enjoy a fulfilling holiday.

[0492] The following describes the processing flow.

[0493] Step 1:

[0494] The user accesses an input form on their device. The device displays input fields for what the user wants to do, where they want to go, and their stress level.

[0495] Step 2:

[0496] The user enters the required information into the form. When the user presses the "Submit" button, the device sends the entered information to the server.

[0497] Step 3:

[0498] The server uses a receiving mechanism to receive data sent by the user (things they want to do, places they want to go, stress levels). This aggregates data regarding the user's desires and stress levels.

[0499] Step 4:

[0500] The server uses its information retrieval method to send a request to the weather information API to obtain weather data for the specified date, time, and location. The request includes the date and location specified by the user.

[0501] Step 5:

[0502] The weather information API returns weather information to the server. The server analyzes the returned data to obtain specific weather conditions, temperature, wind speed, etc., for the relevant date, time, and location.

[0503] Step 6:

[0504] The server uses a plan generation mechanism to analyze user input information and acquired weather data. Based on the analysis results, it selects outdoor activities if the weather is sunny, and indoor activities if it is raining.

[0505] Step 7:

[0506] The server uses a plan adjustment mechanism to consider the user's stress level. If stress levels are high, relaxing activities (such as hot springs or massages) are added to the travel plan.

[0507] Step 8:

[0508] The server generates the final travel plan, formats the plan details, and prepares to send them to the terminal.

[0509] Step 9:

[0510] The server uses a transmission method to send the generated travel plan to the terminal.

[0511] Step 10:

[0512] The device displays the plan details to the user. The user reviews the details and modifies parts of the plan if necessary.

[0513] Step 11:

[0514] The user reviews and approves the final plan. If the user is satisfied with the plan, they press the "Approve" button to proceed to the preparation phase.

[0515] Step 12:

[0516] Based on the user's confirmed plan, necessary preparations will be made. This includes confirming transportation to the designated location and what items to bring.

[0517] Step 13:

[0518] Users spend their holidays according to their pre-determined plans. This allows for ideal refreshment and rest, enabling them to approach the following week's work with a positive attitude.

[0519] (Example 1)

[0520] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0521] Traditional travel planning systems required users to individually create plans based on weather information and their own preferences, which was time-consuming and made it difficult to select appropriate relaxation activities that took stress levels into consideration. Furthermore, flexible responses to sudden weather changes were required. Therefore, there was a need for a system that would allow users to easily obtain optimal travel plans while also taking weather and stress levels into account.

[0522] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0523] In this invention, the server includes input means for the user to input what they want to do on their day off, where they want to go, and their stress level; receiving means for receiving information input from the user; information acquisition means for obtaining weather information; plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and transmission means for sending the generated travel plan to the user. This makes it possible for the user to obtain an optimal travel plan that takes weather and stress levels into consideration without any effort on their part.

[0524] "Input means" refers to a device or function that provides an interface for users to input information such as what they want to do on their days off, places they want to go, and their stress levels.

[0525] "Receiving means" refers to a device or function for receiving information transmitted by a user via input means.

[0526] "Information acquisition means" refers to a device or function for acquiring weather data from external weather information providers.

[0527] "Plan generation means" refers to a device or function that automatically generates an optimal travel plan based on information received from the user and weather information obtained from information acquisition means.

[0528] "Transmission means" refers to a device or function for transmitting the generated travel itinerary to the user.

[0529] A "plan adjustment means" is a device or function that automatically adds or adjusts relaxing activities to a travel plan according to the user's stress level.

[0530] "Control means" refers to a device or function for automatically generating travel plans, including indoor activities, when weather information indicates bad weather.

[0531] A "travel plan" is a specific travel schedule and activity plan generated based on the user's preferences and weather information.

[0532] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on user input and weather data. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[0533] Hardware and software to be used

[0534] Input method: The user interface uses a smartphone or PC browser. The form includes text fields, dropdown lists, buttons, etc.

[0535] Receiving method: Data is sent from the terminal to the server using the HTTP protocol. User-entered information is sent in JSON format.

[0536] Information acquisition method: Weather data is obtained using an external weather information API (e.g., OpenWeatherMap API). API requests are made using the HTTP protocol.

[0537] Plan generation method: A generative AI model (e.g., GPT-3) running on a server is used. Prompt messages are generated based on user input information and acquired weather data, and then input into the AI ​​model.

[0538] Transmission method: The generated travel plan is sent to the terminal in JSON format using the HTTP protocol. The terminal displays the received data in the user interface.

[0539] Planning adjustment mechanism: An algorithm is implemented on the server to add relaxing activities according to the user's stress level.

[0540] Control mechanism: Implement logic on the server to recommend indoor activities in case of bad weather.

[0541] Specific example

[0542] For example, if a user enters "I want to go hiking," selects "mountains" as the destination, and sets their stress level to "high," this data is sent to the server in JSON format. When the server receives data such as "sunny, temperature 20°C" from the weather information API, it generates the following prompt message and inputs it into the generating AI model.

[0543] "The user wants to hike, travel to the mountains, the weather is sunny, the temperature is 20°C, and their stress level is high. Please generate the optimal travel plan."

[0544] The generative AI model generates the following travel plan based on this prompt.

[0545] Morning: Hiking in the mountains

[0546] Lunch: Lunch in the picnic area

[0547] Afternoon: Forest bathing and a short rest

[0548] Evening: Relax at a nearby hot spring facility.

[0549] This plan is sent from the server to the terminal, which then displays it in the user interface. The user reviews this plan and makes any necessary modifications.

[0550] This system allows users to easily obtain the optimal travel plan and enjoy a fulfilling holiday without any effort.

[0551] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0552] Step 1: User Input Phase

[0553] Specific operation: The device displays a dedicated form to the user. The form includes fields for entering "what you want to do," "where you want to go," and "stress level."

[0554] Input: The user enters information such as "I want to go hiking," "mountain," and "high stress level."

[0555] Output: The information entered by the user is sent to the terminal.

[0556] Step 2: Data reception and processing

[0557] Specific operation: Information entered by the user is sent from the terminal to the server, and the server receives this data.

[0558] Input: JSON data containing user preferences sent from the device.

[0559] Data processing: The server analyzes the received data and extracts the information needed for the next step.

[0560] Output: Extracted data on user preferences and stress levels.

[0561] Step 3: Gathering weather information

[0562] Specific operation: The server sends a request to an external weather information API (e.g., OpenWeatherMap API).

[0563] Input: Information about the date and location specified by the user.

[0564] Data processing: The server sends an API request to retrieve the relevant weather data.

[0565] Output: Acquired weather information (weather conditions, temperature, wind speed, etc.).

[0566] Step 4: Creating a travel plan

[0567] Specific operation: The server uses user input information and acquired weather data to input prompt messages into a generating AI model to create the optimal travel plan.

[0568] Input: User preferences, stress levels, and weather information.

[0569] Prompt: "The user wants to hike, travel to the mountains, the weather is sunny, the temperature is 20°C, and their stress level is high. Please generate the optimal travel plan."

[0570] Data processing: A generative AI model analyzes prompt sentences and generates the optimal travel plan.

[0571] Output: Generated travel plan (morning: hiking in the mountains, lunch: lunch at a picnic area, afternoon: forest bathing, evening: relaxing at a hot spring facility).

[0572] Step 5: Submit and confirm your plan

[0573] Specific operation: The server generates a travel plan and sends it to the terminal.

[0574] Input: Generated travel plan.

[0575] Output: The terminal displays the received travel plan in the user interface for the user to confirm.

[0576] In this way, the system allows users to obtain the optimal travel plan through specific inputs, data processing, data calculations, and outputs at each step.

[0577] (Application Example 1)

[0578] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0579] Conventional travel plan generation systems generate travel plans based on user input and weather data, but they are not compatible with use in autonomous vehicles. Furthermore, there is no mechanism to directly transmit the generated plan to the vehicle's display or navigation system, requiring users to manually configure it. Additionally, there is insufficient mechanism for automatically making appropriate real-time adjustments based on weather and stress levels.

[0580] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0581] In this invention, the server includes input means for the user to input what they want to do on their day off, where they want to go, and their stress level; receiving means for receiving information input from the user; information acquisition means for obtaining weather information; plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and transmission means for transmitting the generated travel plan to the vehicle's display and navigation system. This makes it possible for the user to automatically perform everything from generating and displaying a travel plan to setting the navigation system within the autonomous vehicle.

[0582] An "input device" is a device that provides an interface for users to input what they want to do on their days off, where they want to go, and their stress levels.

[0583] A "receiving device" is a device that has the function of receiving information entered by a user and sending it to a server.

[0584] "Information acquisition means" refers to a mechanism for obtaining weather information from external services.

[0585] A "plan generation device" is a device that has an algorithm to generate the optimal travel plan based on information received from the user and acquired weather information.

[0586] "Transmission means" refers to a mechanism that transmits the generated travel plan to the vehicle's display and navigation system.

[0587] A "plan adjustment device" is a device that has the function of including activities with a relaxing effect in the travel plan according to the user's stress level.

[0588] The "control means" is a mechanism that generates a travel plan, including indoor activities, when weather information indicates bad weather.

[0589] A "vehicle display" is a screen installed inside an autonomous vehicle that visually displays information.

[0590] A "navigation system" is a system that guides you to your destination based on the vehicle's location information.

[0591] An "autonomous vehicle" is a vehicle that can operate automatically without requiring driver intervention.

[0592] This invention relates to a system that automatically generates an optimal travel plan based on user input and weather data, and provides it within an autonomous vehicle. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[0593] System Configuration

[0594] 1. Input method:

[0595] The device provides an interface for users to input what they want to do on their days off, where they want to go, and their stress levels. This includes text fields and dropdown lists.

[0596] 2. Receiving means:

[0597] It has the function of receiving information entered from a terminal and sending it to the server.

[0598] 3. Information acquisition means:

[0599] The server uses an external weather information API to obtain weather information. This allows it to collect weather data for the date and location requested by the user.

[0600] 4. Plan generation means:

[0601] The server generates an optimal travel plan based on information received from the user and acquired weather information. For example, it might include outdoor activities on sunny days and indoor activities on bad weather days.

[0602] 5. Transmission method:

[0603] The server transmits the generated travel plan to the vehicle's display and navigation system. This allows the user to review and execute the plan.

[0604] 6. Plan adjustment methods:

[0605] Depending on the user's stress level, relaxing activities will be included in the travel plan. For example, reservations at hot springs or massage parlors may be considered.

[0606] 7. Control means:

[0607] If the weather is bad, the server will include indoor activities in the plan, such as visits to museums or movie theaters.

[0608] System operation

[0609] This system is designed for use in autonomous vehicles. Before or during boarding, the user enters information using the vehicle's display to generate a travel plan. The entered information is sent from the terminal to a server, which collects weather information and generates the optimal travel plan. The generated plan is then sent to the vehicle's display and navigation system.

[0610] Specific example

[0611] For example, if a user enters "Mountain" as the "Place to go," sets "Hiking" as the "Activity to do," and selects "2023-10-10" as the date, the weather data API will return "Sunny, temperature 20°C" as the weather for "2023-10-10." Based on this, the server will generate the following travel plan.

[0612] Morning: Hiking in the mountains

[0613] Lunch: Lunch in the picnic area

[0614] Afternoon: Forest bathing and a short rest

[0615] Evening: Relax at a nearby hot spring facility.

[0616] Example of a prompt

[0617] Input: As information to generate a travel plan, the user entered the desired location "Mountain," the activity "Hiking," the planned visit date "2023-10-10," and the user's stress level "High." The weather data API returned the data "Sunny, temperature 20°C."

[0618] Output: Travel plan including the following elements:

[0619] Morning: Hiking in the mountains

[0620] Lunch: Lunch in the picnic area

[0621] Afternoon: Forest bathing and a short rest

[0622] Evening: Relax at a nearby hot spring facility.

[0623] This system allows users to automatically generate and display travel plans and configure navigation settings all within an autonomous vehicle.

[0624] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0625] Step 1:

[0626] Users use the vehicle's display to input their "things they want to do," "places they want to go," and "stress levels." The entered data is collected as specific details in text fields and dropdown lists.

[0627] input:

[0628] Things I want to do: Hiking

[0629] Places I want to go: Mountains

[0630] Stress level: High

[0631] output:

[0632] Set of input data

[0633] Specific actions:

[0634] The user operates the interface on the display to input information and presses the input button.

[0635] Step 2:

[0636] The terminal receives data entered by the user and sends it to the server. The input information is sent as a request to the server's API via the terminal's communication module.

[0637] input:

[0638] User input data

[0639] output:

[0640] User input data sent to the server

[0641] Specific actions:

[0642] The terminal's communication module receives user input and sends an HTTP POST request to the server.

[0643] Step 3:

[0644] The server sends a request to an external weather information API to retrieve weather data. Weather data for the specified date and location is returned.

[0645] input:

[0646] Planned visit date and places you want to visit

[0647] output:

[0648] Weather data (e.g., sunny, temperature 20°C)

[0649] Specific actions:

[0650] The server sends an API request to the weather information service and receives weather data as a response.

[0651] Step 4:

[0652] The server generates an optimal travel plan based on information received from the user and acquired weather data. A generation AI model is used to select the most suitable activities for the user's situation.

[0653] input:

[0654] User input data

[0655] Weather data

[0656] output:

[0657] A generated travel plan (e.g., morning: hiking in the mountains)

[0658] Specific actions:

[0659] The server inputs user data and weather data into the generated AI model and generates a travel plan based on the prompt messages.

[0660] Step 5:

[0661] The server sends the generated travel plan to the vehicle's display and navigation system. The travel plan is displayed as a visual form and navigation route.

[0662] input:

[0663] Generated travel plan

[0664] output:

[0665] Plans displayed on the display and navigation system

[0666] Specific actions:

[0667] The server sends the generated plan to the terminal, which then displays it on its display and navigation system so that the user can visually confirm it.

[0668] Step 6:

[0669] The server includes relaxing activities in the travel plan based on the user's stress level. If necessary, it selects and incorporates additional activities into the plan.

[0670] input:

[0671] User stress levels

[0672] output:

[0673] Final plan includes activities with a relaxing effect.

[0674] Specific actions:

[0675] The server adjusts the plan to include relaxing activities (e.g., visiting a hot spring facility) based on the user's stress level.

[0676] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0677] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on user input, weather data, and the user's emotions. This system consists of an input means, a receiving means, an information acquisition means, a plan generation means, a transmission means, a plan adjustment means, a control means, and an emotion engine.

[0678] System Configuration

[0679] 1. Input method

[0680] The device displays a form for the user to input what they want to do, where they want to go, and their stress level. This form includes text fields and dropdown lists.

[0681] 2. Receiving means

[0682] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[0683] 3. Information acquisition means

[0684] The server sends a request to an external weather information API to retrieve weather data for the specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information.

[0685] 4. Plan generation means

[0686] The server analyzes user input and acquired weather data to generate the optimal travel plan. For example, it might include outdoor activities on sunny days and indoor activities on rainy days.

[0687] 5. Transmission method

[0688] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[0689] 6. Plan adjustment means

[0690] If a user's stress level is high, the server will add relaxing activities to their plan, such as booking a hot spring or massage.

[0691] 7. Control means

[0692] If the weather is bad, the server will include indoor activities in the plan. For example, visits to museums or movie theaters might be considered.

[0693] 8. Emotional Engine

[0694] The device analyzes the user's emotions based on facial recognition and voice tone. For example, by having the user speak into the camera, the device analyzes their emotions (joy, sadness, anger, etc.) in real time.

[0695] 9. Integrated analysis of emotions and stress

[0696] The server integrates and analyzes the results received from the emotion engine with the user's inputted stress levels, and incorporates activities that have an overall stress-reducing effect into the plan.

[0697] Program processing

[0698] 1. User Input Phase

[0699] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The user fills out this form and presses the submit button.

[0700] 2. Data reception and processing

[0701] The data entered by the user is sent from the terminal to the server. The server receives this data and begins processing it.

[0702] 3. Gathering weather information

[0703] The server sends a request to the weather information API based on the date and location requested by the user, and retrieves the relevant weather data.

[0704] 4. Emotion recognition

[0705] The device analyzes the user's emotions from their facial expressions and tone of voice, and sends the results to the server.

[0706] 5. Creating a travel plan

[0707] The server analyzes user data, acquired weather information, and emotional data to generate an optimal travel plan. The user's stress level is also taken into consideration, and relaxation activities are added as needed.

[0708] 6. Submit and confirm plan

[0709] The server generates a plan and sends it to the device. The device displays the plan to the user, who then reviews and, if necessary, makes modifications.

[0710] Specific example

[0711] For example, if a user enters "I want to go to the beach," selects "coastline" as the destination, and their stress level is analyzed as "moderate" and their emotion as "somewhat tired," this data is sent to the server. If the server receives data such as "sunny, temperature 25°C" from the weather information API, the server will generate the following travel plan based on this.

[0712] Morning: Walking on the beach

[0713] Lunch: Lunch at a seaside cafe

[0714] Afternoon: Snorkeling

[0715] Evening: Relax at a nearby resort spa.

[0716] This plan is sent to the device and displayed to the user. The user can review the plan and make modifications as needed.

[0717] In this way, this system helps users obtain the optimal travel plan without effort and enjoy a fulfilling holiday. By adding an emotion engine, it becomes possible to create even more personalized plans for individual users, providing them with an even more valuable vacation.

[0718] The following describes the processing flow.

[0719] Step 1:

[0720] The user accesses an input form on their device. The device displays input fields for what the user wants to do, where they want to go, and their stress level.

[0721] Step 2:

[0722] The user enters the required information into the form. When the user presses the "Submit" button, the device sends the entered information to the server.

[0723] Step 3:

[0724] The server uses a receiving mechanism to receive data sent by the user (things they want to do, places they want to go, stress levels). This aggregates data regarding the user's desires and stress levels.

[0725] Step 4:

[0726] The server uses its information retrieval method to send a request to the weather information API to obtain weather data for the specified date, time, and location. The request includes the date and location specified by the user.

[0727] Step 5:

[0728] The weather information API returns weather information to the server. The server analyzes the returned data to obtain specific weather conditions, temperature, wind speed, etc., for the relevant date, time, and location.

[0729] Step 6:

[0730] The device activates an emotion engine to analyze the user's emotions based on facial recognition and voice tone. As the user speaks into the camera, the device analyzes their emotions (joy, sadness, anger, etc.) in real time and sends the results to the server.

[0731] Step 7:

[0732] The server uses a plan generation mechanism to analyze user input information, acquired weather data, and sentiment data. Based on the analysis results, it selects outdoor activities if the weather is sunny, and indoor activities if it is rainy.

[0733] Step 8:

[0734] The server uses a plan adjustment mechanism to consider the user's stress level and emotional state. If the user is stressed or emotionally exhausted, relaxing activities (such as hot springs or massages) will be added to the travel plan.

[0735] Step 9:

[0736] The server generates the final travel plan, formats the plan details, and prepares to send them to the terminal.

[0737] Step 10:

[0738] The server uses a transmission method to send the generated travel plan to the terminal.

[0739] Step 11:

[0740] The device displays the plan details to the user. The user reviews the details and modifies parts of the plan if necessary.

[0741] Step 12:

[0742] The user reviews and approves the final plan. If the user is satisfied with the plan, they press the "Approve" button to proceed to the preparation phase.

[0743] Step 13:

[0744] Based on the user's confirmed plan, necessary preparations will be made. This includes confirming transportation to the designated location and what items to bring.

[0745] Step 14:

[0746] Users spend their holidays according to their pre-determined plans. This allows for ideal refreshment and rest, enabling them to approach the following week's work with a positive attitude.

[0747] (Example 2)

[0748] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0749] Current travel plan generation systems can provide plans based on user preferences and weather information, but they lack the ability to generate personalized travel plans that take into account the user's emotions and stress levels. Furthermore, they lack the functionality to analyze the user's emotions in real time and adjust the plan based on the results, making it difficult to provide the optimal plan tailored to the user's psychological state.

[0750] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0751] In this invention, the server includes an input means for the user to input what they want to do on their day off, where they want to go, and their stress level; a receiving means for receiving information input from the user; an information acquisition means for obtaining weather information; an emotion recognition means for analyzing the user's emotions from facial recognition and voice tone; an emotion data processing means for adjusting the travel plan based on the analyzed emotion data; and a transmission means for sending the generated travel plan to the user. This makes it possible to generate a personalized travel plan that takes into account the user's emotions and stress level.

[0752] An "input means" is a device or interface for a user to input what they want to do, where they want to go, or their stress levels.

[0753] "Receiving means" refers to a device or function that receives information entered by a user and transmits it to a server for processing.

[0754] "Information acquisition means" refers to a device or function that sends requests to external information sources (e.g., weather information APIs) to acquire weather information and collects the necessary data.

[0755] A "plan generation means" is a device or function that automatically generates an optimal travel plan based on information received from the user and acquired weather information.

[0756] "Emotion recognition means" refers to a device or function that analyzes the user's facial recognition or voice tone to sense the user's emotions in real time.

[0757] "Emotional data processing means" refers to a device or function that adjusts a travel plan based on analyzed emotional data and generates a plan that is optimal for the user's psychological state.

[0758] "Transmission means" refers to a device or function that transmits the generated travel plan to the user's terminal and displays it to the user.

[0759] "Relaxing activities" refer to activities or experiences that reduce user stress and promote relaxation.

[0760] "Weather information" refers to data such as weather conditions (e.g., sunny, rainy, cloudy), temperature, and wind speed at a specified date, time, and location.

[0761] This invention is a system that automatically generates and provides an optimal travel plan to the user based on user input information, weather data, and the user's emotions. The system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, control means, emotion recognition means, and emotion data processing means.

[0762] System components

[0763] 1. Input method

[0764] The device displays a form for the user to input what they want to do, where they want to go, and their stress level. This form includes text fields and dropdown lists.

[0765] 2. Receiving means

[0766] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[0767] 3. Information acquisition means

[0768] The server sends a request to an external weather information API to retrieve weather data for a specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information. For example, the OpenWeatherMap API can be used.

[0769] 4. Emotion recognition means

[0770] The device analyzes the user's facial recognition and voice tone to sense their emotions in real time. For example, it utilizes Microsoft Azure's Face API or Google Cloud's Speech-to-Text API.

[0771] 5. Plan generation means

[0772] The server analyzes user input information, acquired weather data, and sentiment data to generate an optimal travel plan. Machine learning models (e.g., TensorFlow or PyTorch) can be used for this analysis.

[0773] 6. Emotional Data Processing Means

[0774] Based on analyzed emotional data, the travel plan is adjusted to generate the plan best suited to the user's psychological state. For example, if the user is feeling stressed, relaxing activities will be included in the travel plan.

[0775] 7. Transmission method

[0776] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[0777] Specific example

[0778] For example, if a user inputs "I want to go to the beach," selects "coastline" as the destination, and the analysis determines their stress level to be "moderate" and their emotion to be "somewhat tired," this data is sent to the server. Let's assume the following prompt is input into the generating AI model.

[0779] Example of a prompt

[0780] "The user entered 'I want to go to the beach' and selected 'coastline' as their destination. Their stress level is analyzed as moderate, and their emotion as slightly tired. The weather forecast for the next day is sunny with a temperature of 25°C. Please generate the optimal travel plan."

[0781] If the server receives data from the weather information API indicating "sunny, temperature 25°C," the server will generate the following travel plan based on this information.

[0782] Morning: Walking on the beach

[0783] Lunch: Lunch at a seaside cafe

[0784] Afternoon: Snorkeling

[0785] Evening: Relax at a nearby resort spa.

[0786] This plan is sent to the device and displayed to the user. The user can review the plan and make modifications as needed. In this way, the system helps users obtain the optimal travel plan with minimal effort and enjoy a fulfilling holiday. By adding emotion recognition capabilities, it becomes possible to create even more personalized plans for each user, providing them with an even more valuable vacation.

[0787] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0788] Step 1: User Input Phase

[0789] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The form includes text fields and dropdown lists. When the user enters information and presses the submit button, the input data is sent to the device. The input data may include phrases such as "I want to go to the beach," "coastline," and "moderate stress."

[0790] Input: User input information (things you want to do, places you want to go, stress level)

[0791] Output: Input data is sent to the terminal.

[0792] Step 2: Data reception and processing

[0793] The terminal sends user input data to the server. The server receives this data and stores it in a database or log for analysis. The stored data is then formatted for analysis.

[0794] Input: User input data sent from the terminal.

[0795] Output: The formatted data is saved to the server.

[0796] Step 3: Gathering weather information

[0797] The server sends a request to a weather information API based on the user's requested date and location. For example, it uses the OpenWeatherMap API to retrieve weather data for the specified date, time, and location. The retrieved weather data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, and wind speed.

[0798] Input: User's preferred date and location

[0799] Output: Acquired weather data (e.g., sunny, temperature 25°C)

[0800] Step 4: Emotion Recognition

[0801] The device analyzes the user's facial recognition and voice tone to sense their emotions in real time. For example, it uses Microsoft Azure's Face API or Google Cloud's Speech-to-Text API to analyze the user's emotions. The analyzed emotion data is sent to a server.

[0802] Input: User facial recognition and voice tone data

[0803] Output: Analyzed emotional data (e.g., slightly tired)

[0804] Step 5: Creating a travel plan

[0805] The server analyzes user input, acquired weather data, and sentiment data. Using machine learning models such as TensorFlow and PyTorch, it generates an optimal travel plan. The generated travel plan includes activities that take into account the user's stress levels and emotions.

[0806] Input: User input information, weather data, sentiment data

[0807] Output: Generated travel plan

[0808] Step 6: Submit and confirm your plan.

[0809] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then reviews it and makes any necessary modifications.

[0810] Input: Generated travel plan

[0811] Output: Travel plan displayed to the user

[0812] Through a clear and efficient process, users can effortlessly obtain the optimal travel plan and enjoy a fulfilling holiday. This system takes into account the user's emotions and stress levels, and can even create personalized plans tailored to each individual user.

[0813] (Application Example 2)

[0814] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0815] Conventional travel plan generation systems had the problem of not considering the user's emotions or mood, and therefore being unable to suggest the optimal trip and food delivery that matched the user's feelings at the time. Furthermore, the difficulty in fine-tuning the plan based on weather conditions and the user's stress level was also a challenge.

[0816] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for the user to input what they want to do on their day off, where they want to go, and their stress level; an emotion analysis means for analyzing the user's emotions; a plan generation means for generating an optimal travel plan based on information received from the user, acquired weather information, and analyzed emotion data; and a transmission means for sending the generated travel plan to the user. This makes it possible to generate an optimal travel plan that takes into account the user's emotions and stress level, as well as suggest appropriate restaurants and dining establishments.

[0817] "Input methods" refer to the means by which users input what they want to do on their days off, where they want to go, and their stress levels.

[0818] "Receiving means" refers to the means of receiving information entered by the user.

[0819] "Information acquisition means" refers to the means of obtaining weather information.

[0820] "Emotional analysis tools" are methods for analyzing a user's emotions.

[0821] A "plan generation method" is a means for generating an optimal travel plan based on information received from the user, acquired weather information, and analyzed sentiment data.

[0822] "Transmission means" refers to the means for sending the generated travel plan to the user.

[0823] A "plan adjustment method" is a means of including activities that have a relaxing effect in the travel plan, depending on the user's stress level.

[0824] "Control means" refers to means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[0825] The "food delivery function" is a feature that suggests appropriate dishes and dining establishments based on the results of sentiment analysis.

[0826] This invention is a system that automatically generates and provides optimal travel plans and food delivery suggestions to users based on information entered by the user, weather data, and the user's emotions. This system includes multiple means, such as input means, receiving means, information acquisition means, emotion analysis means, plan generation means, and transmission means.

[0827] System program

[0828] This system is implemented using Python. It uses the Requests library to call external weather information APIs and sentiment analysis APIs. This allows it to generate optimal travel plans and food delivery suggestions based on user input data, weather data, and sentiment data.

[0829] Program processing

[0830] 1. Hardware: Smartphone camera, internet connection

[0831] 2. Software: Python, Requests library

[0832] 3. Data processing and data calculation:

[0833] Obtaining weather data: The server obtains current weather data from a weather information API. Weather information includes sunny / rainy conditions, wind speed, temperature, etc.

[0834] Emotion Analysis: The device captures the user's facial expressions and voice and sends them to an emotion analysis API. This analysis classifies the user's emotions as "joy," "sadness," "anger," etc.

[0835] Generating the optimal travel plan: The server generates the optimal travel plan based on the received information, weather data, and emotion data. For example, outdoor activities are recommended on sunny days, and active plans are recommended if the emotion is "joyful."

[0836] Food delivery suggestions: The server suggests appropriate dishes and dining establishments based on emotional data. For example, if the emotion is "sad," a warm meal will be suggested.

[0837] Specific example

[0838] For example, if a user enters "I want to go to the beach," sets their stress level to "moderate," and the emotion analysis result is "slightly tired," this data is sent to the server. If the server receives data of "sunny, temperature 25°C" from the weather information API, the generated travel plan will be as follows.

[0839] Morning: Walking on the beach

[0840] Lunch: Lunch at a seaside cafe

[0841] Afternoon: Snorkeling

[0842] Evening: Relax at a nearby resort spa.

[0843] This plan is sent to the device and displayed to the user. Furthermore, because the user appears somewhat tired, a relaxing meal (e.g., soup) is suggested.

[0844] Example of a prompt

[0845] Examples of prompt statements for a generative AI model are as follows:

[0846] "Create an application that suggests optimal travel plans and food delivery based on weather data and user sentiment data. Write code that analyzes user input data (desired destination), weather data, and sentiment data to suggest appropriate plans and meals. Use Python and the Requests library to call external weather information APIs and sentiment analysis APIs."

[0847] As described above, the present invention can propose an optimal travel plan and food delivery service, taking into account the user's emotions and stress level. This allows users to enjoy a personalized travel and dining experience and have a fulfilling holiday.

[0848] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0849] Step 1:

[0850] The user opens a smartphone application and enters what they want to do, where they want to go, and their stress level. The entered data may include, for example, "I want to go to the beach," "coastline," and "stress level: moderate." This user input is sent to the server as input data.

[0851] Step 2:

[0852] The terminal receives information entered by the user. This information includes data about the user's desired destinations, activities, and stress levels. This data is aggregated on a server and used in the next step.

[0853] Step 3:

[0854] The server sends a request to an external weather information API to retrieve weather data for a specified date, time, and location. This request includes location information entered by the user. The returned weather data may include, for example, "sunny, temperature 25°C." This data is then stored on the server as weather data.

[0855] Step 4:

[0856] The device captures the user's facial expression with its camera and sends the image data to an emotion analysis API. The emotion analysis API analyzes the user's emotions, obtains emotion data such as "slightly tired," "happy," or "sad," and sends it to the server. This data is then stored on the server as emotion data.

[0857] Step 5:

[0858] The server generates an optimal travel plan based on user input, weather data, and sentiment data. This step utilizes a plan generation method. For example, if it's a sunny day and the user is "somewhat tired," a plan such as "Morning: Walking on the beach," "Lunch: Lunch at a seaside cafe," "Afternoon: Snorkeling," and "Evening: Relaxing at a nearby resort spa" might be generated.

[0859] Step 6:

[0860] The server generates a travel plan and sends it to the device. The device displays the generated travel plan to the user for review. The user can also make changes to the plan at this point.

[0861] Step 7:

[0862] The server suggests appropriate dishes and dining establishments based on emotional data. For example, if the user's emotional state is "somewhat tired," a relaxing "warm soup" might be suggested. This food delivery suggestion is adjusted based on the user's emotional state.

[0863] Through the above processing steps, users can receive optimal travel plans and food delivery suggestions based on their emotions, weather, and stress levels.

[0864] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0865] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0866] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0867] [Third Embodiment]

[0868] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0869] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0870] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0871] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0872] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0873] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0874] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0875] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0876] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0877] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0878] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0879] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0880] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on information entered by the user and weather data. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[0881] System Configuration

[0882] 1. Input method

[0883] The device provides the user with a form to input what they want to do, where they want to go, and their stress levels. This form may include text fields, dropdown lists, and other elements.

[0884] 2. Receiving means

[0885] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[0886] 3. Information acquisition means

[0887] The server sends a request to an external weather information API to retrieve weather data for the specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information.

[0888] 4. Plan generation means

[0889] The server analyzes user input and acquired weather data to generate the optimal travel plan. For example, it might include outdoor activities on sunny days and indoor activities on rainy days.

[0890] 5. Transmission method

[0891] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[0892] 6. Plan adjustment means

[0893] If a user's stress level is high, the server will add relaxing activities to their plan, such as booking a hot spring or massage.

[0894] 7. Control means

[0895] If the weather is bad, the server will include indoor activities in the plan. For example, visits to museums or movie theaters might be considered.

[0896] Program processing

[0897] 1. User Input Phase

[0898] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The user fills out this form and presses the submit button.

[0899] 2. Data reception and processing

[0900] The data entered by the user is sent from the terminal to the server. The server receives this data and begins processing it.

[0901] 3. Gathering weather information

[0902] The server sends a request to the weather information API based on the date and location requested by the user, and retrieves the relevant weather data.

[0903] 4. Creating a travel plan

[0904] The server analyzes user data and weather information to generate the optimal travel plan. The user's stress level is also taken into consideration, and relaxing activities are added as needed.

[0905] 5. Submit and confirm your plan

[0906] The server generates a plan and sends it to the device. The device displays the plan to the user, who then reviews and, if necessary, makes modifications.

[0907] Specific example

[0908] For example, if a user enters "I want to go hiking," selects "mountains" as the destination, and sets their stress level to "high," this data is sent to the server. If the server receives data such as "sunny, temperature 20°C" from the weather information API, the server will generate the following travel plan based on this.

[0909] Morning: Hiking in the mountains

[0910] Lunch: Lunch in the picnic area

[0911] Afternoon: Forest bathing and a short rest

[0912] Evening: Relax at a nearby hot spring facility.

[0913] This plan is sent to the device and displayed to the user. The user reviews the plan and makes any necessary modifications.

[0914] In this way, this system helps users obtain the optimal travel plan without any effort and enjoy a fulfilling holiday.

[0915] The following describes the processing flow.

[0916] Step 1:

[0917] The user accesses an input form on their device. The device displays input fields for what the user wants to do, where they want to go, and their stress level.

[0918] Step 2:

[0919] The user enters the required information into the form. When the user presses the "Submit" button, the device sends the entered information to the server.

[0920] Step 3:

[0921] The server uses a receiving mechanism to receive data sent by the user (things they want to do, places they want to go, stress levels). This aggregates data regarding the user's desires and stress levels.

[0922] Step 4:

[0923] The server uses its information retrieval method to send a request to the weather information API to obtain weather data for the specified date, time, and location. The request includes the date and location specified by the user.

[0924] Step 5:

[0925] The weather information API returns weather information to the server. The server analyzes the returned data to obtain specific weather conditions, temperature, wind speed, etc., for the relevant date, time, and location.

[0926] Step 6:

[0927] The server uses a plan generation mechanism to analyze user input information and acquired weather data. Based on the analysis results, it selects outdoor activities if the weather is sunny, and indoor activities if it is raining.

[0928] Step 7:

[0929] The server uses a plan adjustment mechanism to consider the user's stress level. If stress levels are high, relaxing activities (such as hot springs or massages) are added to the travel plan.

[0930] Step 8:

[0931] The server generates the final travel plan, formats the plan details, and prepares to send them to the terminal.

[0932] Step 9:

[0933] The server uses a transmission method to send the generated travel plan to the terminal.

[0934] Step 10:

[0935] The device displays the plan details to the user. The user reviews the details and modifies parts of the plan if necessary.

[0936] Step 11:

[0937] The user reviews and approves the final plan. If the user is satisfied with the plan, they press the "Approve" button to proceed to the preparation phase.

[0938] Step 12:

[0939] Based on the user's confirmed plan, necessary preparations will be made. This includes confirming transportation to the designated location and what items to bring.

[0940] Step 13:

[0941] Users spend their holidays according to their pre-determined plans. This allows for ideal refreshment and rest, enabling them to approach the following week's work with a positive attitude.

[0942] (Example 1)

[0943] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0944] Traditional travel planning systems required users to individually create plans based on weather information and their own preferences, which was time-consuming and made it difficult to select appropriate relaxation activities that took stress levels into consideration. Furthermore, flexible responses to sudden weather changes were required. Therefore, there was a need for a system that would allow users to easily obtain optimal travel plans while also taking weather and stress levels into account.

[0945] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0946] In this invention, the server includes input means for the user to input what they want to do on their day off, where they want to go, and their stress level; receiving means for receiving information input from the user; information acquisition means for obtaining weather information; plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and transmission means for sending the generated travel plan to the user. This makes it possible for the user to obtain an optimal travel plan that takes weather and stress levels into consideration without any effort on their part.

[0947] "Input means" refers to a device or function that provides an interface for users to input information such as what they want to do on their days off, places they want to go, and their stress levels.

[0948] "Receiving means" refers to a device or function for receiving information transmitted by a user via input means.

[0949] "Information acquisition means" refers to a device or function for acquiring weather data from external weather information providers.

[0950] "Plan generation means" refers to a device or function that automatically generates an optimal travel plan based on information received from the user and weather information obtained from information acquisition means.

[0951] "Transmission means" refers to a device or function for transmitting the generated travel itinerary to the user.

[0952] A "plan adjustment means" is a device or function that automatically adds or adjusts relaxing activities to a travel plan according to the user's stress level.

[0953] "Control means" refers to a device or function for automatically generating travel plans, including indoor activities, when weather information indicates bad weather.

[0954] A "travel plan" is a specific travel schedule and activity plan generated based on the user's preferences and weather information.

[0955] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on user input and weather data. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[0956] Hardware and software to be used

[0957] Input method: The user interface uses a smartphone or PC browser. The form includes text fields, dropdown lists, buttons, etc.

[0958] Receiving method: Data is sent from the terminal to the server using the HTTP protocol. User-entered information is sent in JSON format.

[0959] Information acquisition method: Weather data is obtained using an external weather information API (e.g., OpenWeatherMap API). API requests are made using the HTTP protocol.

[0960] Plan generation method: A generative AI model (e.g., GPT-3) running on a server is used. Prompt messages are generated based on user input information and acquired weather data, and then input into the AI ​​model.

[0961] Transmission method: The generated travel plan is sent to the terminal in JSON format using the HTTP protocol. The terminal displays the received data in the user interface.

[0962] Planning adjustment mechanism: An algorithm is implemented on the server to add relaxing activities according to the user's stress level.

[0963] Control mechanism: Implement logic on the server to recommend indoor activities in case of bad weather.

[0964] Specific example

[0965] For example, if a user enters "I want to go hiking," selects "mountains" as the destination, and sets their stress level to "high," this data is sent to the server in JSON format. When the server receives data such as "sunny, temperature 20°C" from the weather information API, it generates the following prompt message and inputs it into the generating AI model.

[0966] "The user wants to hike, travel to the mountains, the weather is sunny, the temperature is 20°C, and their stress level is high. Please generate the optimal travel plan."

[0967] The generative AI model generates the following travel plan based on this prompt.

[0968] Morning: Hiking in the mountains

[0969] Lunch: Lunch in the picnic area

[0970] Afternoon: Forest bathing and a short rest

[0971] Evening: Relax at a nearby hot spring facility.

[0972] This plan is sent from the server to the terminal, which then displays it in the user interface. The user reviews this plan and makes any necessary modifications.

[0973] This system allows users to easily obtain the optimal travel plan and enjoy a fulfilling holiday without any effort.

[0974] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0975] Step 1: User Input Phase

[0976] Specific operation: The device displays a dedicated form to the user. The form includes fields for entering "what you want to do," "where you want to go," and "stress level."

[0977] Input: The user enters information such as "I want to go hiking," "mountain," and "high stress level."

[0978] Output: The information entered by the user is sent to the terminal.

[0979] Step 2: Data reception and processing

[0980] Specific operation: Information entered by the user is sent from the terminal to the server, and the server receives this data.

[0981] Input: JSON data containing user preferences sent from the device.

[0982] Data processing: The server analyzes the received data and extracts the information needed for the next step.

[0983] Output: Extracted data on user preferences and stress levels.

[0984] Step 3: Gathering weather information

[0985] Specific operation: The server sends a request to an external weather information API (e.g., OpenWeatherMap API).

[0986] Input: Information about the date and location specified by the user.

[0987] Data processing: The server sends an API request to retrieve the relevant weather data.

[0988] Output: Acquired weather information (weather conditions, temperature, wind speed, etc.).

[0989] Step 4: Creating a travel plan

[0990] Specific operation: The server uses user input information and acquired weather data to input prompt messages into a generating AI model to create the optimal travel plan.

[0991] Input: User preferences, stress levels, and weather information.

[0992] Prompt: "The user wants to hike, travel to the mountains, the weather is sunny, the temperature is 20°C, and their stress level is high. Please generate the optimal travel plan."

[0993] Data processing: A generative AI model analyzes prompt sentences and generates the optimal travel plan.

[0994] Output: Generated travel plan (morning: hiking in the mountains, lunch: lunch at a picnic area, afternoon: forest bathing, evening: relaxing at a hot spring facility).

[0995] Step 5: Submit and confirm your plan

[0996] Specific operation: The server generates a travel plan and sends it to the terminal.

[0997] Input: Generated travel plan.

[0998] Output: The terminal displays the received travel plan in the user interface for the user to confirm.

[0999] In this way, the system allows users to obtain the optimal travel plan through specific inputs, data processing, data calculations, and outputs at each step.

[1000] (Application Example 1)

[1001] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1002] Conventional travel plan generation systems generate travel plans based on user input and weather data, but they are not compatible with use in autonomous vehicles. Furthermore, there is no mechanism to directly transmit the generated plan to the vehicle's display or navigation system, requiring users to manually configure it. Additionally, there is insufficient mechanism for automatically making appropriate real-time adjustments based on weather and stress levels.

[1003] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1004] In this invention, the server includes input means for the user to input what they want to do on their day off, where they want to go, and their stress level; receiving means for receiving information input from the user; information acquisition means for obtaining weather information; plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and transmission means for transmitting the generated travel plan to the vehicle's display and navigation system. This makes it possible for the user to automatically perform everything from generating and displaying a travel plan to setting the navigation system within the autonomous vehicle.

[1005] An "input device" is a device that provides an interface for users to input what they want to do on their days off, where they want to go, and their stress levels.

[1006] A "receiving device" is a device that has the function of receiving information entered by a user and sending it to a server.

[1007] "Information acquisition means" refers to a mechanism for obtaining weather information from external services.

[1008] A "plan generation device" is a device that has an algorithm to generate the optimal travel plan based on information received from the user and acquired weather information.

[1009] "Transmission means" refers to a mechanism that transmits the generated travel plan to the vehicle's display and navigation system.

[1010] A "plan adjustment device" is a device that has the function of including activities with a relaxing effect in the travel plan according to the user's stress level.

[1011] The "control means" is a mechanism that generates a travel plan, including indoor activities, when weather information indicates bad weather.

[1012] A "vehicle display" is a screen installed inside an autonomous vehicle that visually displays information.

[1013] A "navigation system" is a system that guides you to your destination based on the vehicle's location information.

[1014] An "autonomous vehicle" is a vehicle that can operate automatically without requiring driver intervention.

[1015] This invention relates to a system that automatically generates an optimal travel plan based on user input and weather data, and provides it within an autonomous vehicle. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[1016] System Configuration

[1017] 1. Input method:

[1018] The device provides an interface for users to input what they want to do on their days off, where they want to go, and their stress levels. This includes text fields and dropdown lists.

[1019] 2. Receiving means:

[1020] It has the function of receiving information entered from a terminal and sending it to the server.

[1021] 3. Information acquisition means:

[1022] The server uses an external weather information API to obtain weather information. This allows it to collect weather data for the date and location requested by the user.

[1023] 4. Plan generation means:

[1024] The server generates an optimal travel plan based on information received from the user and acquired weather information. For example, it might include outdoor activities on sunny days and indoor activities on bad weather days.

[1025] 5. Transmission method:

[1026] The server transmits the generated travel plan to the vehicle's display and navigation system. This allows the user to review and execute the plan.

[1027] 6. Plan adjustment methods:

[1028] Depending on the user's stress level, relaxing activities will be included in the travel plan. For example, reservations at hot springs or massage parlors may be considered.

[1029] 7. Control means:

[1030] If the weather is bad, the server will include indoor activities in the plan, such as visits to museums or movie theaters.

[1031] System operation

[1032] This system is designed for use in autonomous vehicles. Before or during boarding, the user enters information using the vehicle's display to generate a travel plan. The entered information is sent from the terminal to a server, which collects weather information and generates the optimal travel plan. The generated plan is then sent to the vehicle's display and navigation system.

[1033] Specific example

[1034] For example, if a user enters "Mountain" as the "Place to go," sets "Hiking" as the "Activity to do," and selects "2023-10-10" as the date, the weather data API will return "Sunny, temperature 20°C" as the weather for "2023-10-10." Based on this, the server will generate the following travel plan.

[1035] Morning: Hiking in the mountains

[1036] Lunch: Lunch in the picnic area

[1037] Afternoon: Forest bathing and a short rest

[1038] Evening: Relax at a nearby hot spring facility.

[1039] Example of a prompt

[1040] Input: As information to generate a travel plan, the user entered the desired location "Mountain," the activity "Hiking," the planned visit date "2023-10-10," and the user's stress level "High." The weather data API returned the data "Sunny, temperature 20°C."

[1041] Output: Travel plan including the following elements:

[1042] Morning: Hiking in the mountains

[1043] Lunch: Lunch in the picnic area

[1044] Afternoon: Forest bathing and a short rest

[1045] Evening: Relax at a nearby hot spring facility.

[1046] This system allows users to automatically generate and display travel plans and configure navigation settings all within an autonomous vehicle.

[1047] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1048] Step 1:

[1049] Users use the vehicle's display to input their "things they want to do," "places they want to go," and "stress levels." The entered data is collected as specific details in text fields and dropdown lists.

[1050] input:

[1051] Things I want to do: Hiking

[1052] Places I want to go: Mountains

[1053] Stress level: High

[1054] output:

[1055] Set of input data

[1056] Specific actions:

[1057] The user operates the interface on the display to input information and presses the input button.

[1058] Step 2:

[1059] The terminal receives data entered by the user and sends it to the server. The input information is sent as a request to the server's API via the terminal's communication module.

[1060] input:

[1061] User input data

[1062] output:

[1063] User input data sent to the server

[1064] Specific actions:

[1065] The terminal's communication module receives user input and sends an HTTP POST request to the server.

[1066] Step 3:

[1067] The server sends a request to an external weather information API to retrieve weather data. Weather data for the specified date and location is returned.

[1068] input:

[1069] Planned visit date and places you want to visit

[1070] output:

[1071] Weather data (e.g., sunny, temperature 20°C)

[1072] Specific actions:

[1073] The server sends an API request to the weather information service and receives weather data as a response.

[1074] Step 4:

[1075] The server generates an optimal travel plan based on information received from the user and acquired weather data. A generation AI model is used to select the most suitable activities for the user's situation.

[1076] input:

[1077] User input data

[1078] Weather data

[1079] output:

[1080] A generated travel plan (e.g., morning: hiking in the mountains)

[1081] Specific actions:

[1082] The server inputs user data and weather data into the generated AI model and generates a travel plan based on the prompt messages.

[1083] Step 5:

[1084] The server sends the generated travel plan to the vehicle's display and navigation system. The travel plan is displayed as a visual form and navigation route.

[1085] input:

[1086] Generated travel plan

[1087] output:

[1088] Plans displayed on the display and navigation system

[1089] Specific actions:

[1090] The server sends the generated plan to the terminal, which then displays it on its display and navigation system so that the user can visually confirm it.

[1091] Step 6:

[1092] The server includes relaxing activities in the travel plan based on the user's stress level. If necessary, it selects and incorporates additional activities into the plan.

[1093] input:

[1094] User stress levels

[1095] output:

[1096] Final plan includes activities with a relaxing effect.

[1097] Specific actions:

[1098] The server adjusts the plan to include relaxing activities (e.g., visiting a hot spring facility) based on the user's stress level.

[1099] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1100] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on user input, weather data, and the user's emotions. This system consists of an input means, a receiving means, an information acquisition means, a plan generation means, a transmission means, a plan adjustment means, a control means, and an emotion engine.

[1101] System Configuration

[1102] 1. Input method

[1103] The device displays a form for the user to input what they want to do, where they want to go, and their stress level. This form includes text fields and dropdown lists.

[1104] 2. Receiving means

[1105] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[1106] 3. Information acquisition means

[1107] The server sends a request to an external weather information API to retrieve weather data for the specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information.

[1108] 4. Plan generation means

[1109] The server analyzes user input and acquired weather data to generate the optimal travel plan. For example, it might include outdoor activities on sunny days and indoor activities on rainy days.

[1110] 5. Transmission method

[1111] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[1112] 6. Plan adjustment means

[1113] If a user's stress level is high, the server will add relaxing activities to their plan, such as booking a hot spring or massage.

[1114] 7. Control means

[1115] If the weather is bad, the server will include indoor activities in the plan. For example, visits to museums or movie theaters might be considered.

[1116] 8. Emotional Engine

[1117] The device analyzes the user's emotions based on facial recognition and voice tone. For example, by having the user speak into the camera, the device analyzes their emotions (joy, sadness, anger, etc.) in real time.

[1118] 9. Integrated analysis of emotions and stress

[1119] The server integrates and analyzes the results received from the emotion engine with the user's inputted stress levels, and incorporates activities that have an overall stress-reducing effect into the plan.

[1120] Program processing

[1121] 1. User Input Phase

[1122] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The user fills out this form and presses the submit button.

[1123] 2. Data reception and processing

[1124] The data entered by the user is sent from the terminal to the server. The server receives this data and begins processing it.

[1125] 3. Gathering weather information

[1126] The server sends a request to the weather information API based on the date and location requested by the user, and retrieves the relevant weather data.

[1127] 4. Emotion recognition

[1128] The device analyzes the user's emotions from their facial expressions and tone of voice, and sends the results to the server.

[1129] 5. Creating a travel plan

[1130] The server analyzes user data, acquired weather information, and emotional data to generate an optimal travel plan. The user's stress level is also taken into consideration, and relaxation activities are added as needed.

[1131] 6. Submit and confirm plan

[1132] The server generates a plan and sends it to the device. The device displays the plan to the user, who then reviews and, if necessary, makes modifications.

[1133] Specific example

[1134] For example, if a user enters "I want to go to the beach," selects "coastline" as the destination, and their stress level is analyzed as "moderate" and their emotion as "somewhat tired," this data is sent to the server. If the server receives data such as "sunny, temperature 25°C" from the weather information API, the server will generate the following travel plan based on this.

[1135] Morning: Walking on the beach

[1136] Lunch: Lunch at a seaside cafe

[1137] Afternoon: Snorkeling

[1138] Evening: Relax at a nearby resort spa.

[1139] This plan is sent to the device and displayed to the user. The user can review the plan and make modifications as needed.

[1140] In this way, this system helps users obtain the optimal travel plan without effort and enjoy a fulfilling holiday. By adding an emotion engine, it becomes possible to create even more personalized plans for individual users, providing them with an even more valuable vacation.

[1141] The following describes the processing flow.

[1142] Step 1:

[1143] The user accesses an input form on their device. The device displays input fields for what the user wants to do, where they want to go, and their stress level.

[1144] Step 2:

[1145] The user enters the required information into the form. When the user presses the "Submit" button, the device sends the entered information to the server.

[1146] Step 3:

[1147] The server uses a receiving mechanism to receive data sent by the user (things they want to do, places they want to go, stress levels). This aggregates data regarding the user's desires and stress levels.

[1148] Step 4:

[1149] The server uses its information retrieval method to send a request to the weather information API to obtain weather data for the specified date, time, and location. The request includes the date and location specified by the user.

[1150] Step 5:

[1151] The weather information API returns weather information to the server. The server analyzes the returned data to obtain specific weather conditions, temperature, wind speed, etc., for the relevant date, time, and location.

[1152] Step 6:

[1153] The device activates an emotion engine to analyze the user's emotions based on facial recognition and voice tone. As the user speaks into the camera, the device analyzes their emotions (joy, sadness, anger, etc.) in real time and sends the results to the server.

[1154] Step 7:

[1155] The server uses a plan generation mechanism to analyze user input information, acquired weather data, and sentiment data. Based on the analysis results, it selects outdoor activities if the weather is sunny, and indoor activities if it is rainy.

[1156] Step 8:

[1157] The server uses a plan adjustment mechanism to consider the user's stress level and emotional state. If the user is stressed or emotionally exhausted, relaxing activities (such as hot springs or massages) will be added to the travel plan.

[1158] Step 9:

[1159] The server generates the final travel plan, formats the plan details, and prepares to send them to the terminal.

[1160] Step 10:

[1161] The server uses a transmission method to send the generated travel plan to the terminal.

[1162] Step 11:

[1163] The device displays the plan details to the user. The user reviews the details and modifies parts of the plan if necessary.

[1164] Step 12:

[1165] The user reviews and approves the final plan. If the user is satisfied with the plan, they press the "Approve" button to proceed to the preparation phase.

[1166] Step 13:

[1167] Based on the user's confirmed plan, necessary preparations will be made. This includes confirming transportation to the designated location and what items to bring.

[1168] Step 14:

[1169] Users spend their holidays according to their pre-determined plans. This allows for ideal refreshment and rest, enabling them to approach the following week's work with a positive attitude.

[1170] (Example 2)

[1171] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1172] Current travel plan generation systems can provide plans based on user preferences and weather information, but they lack the ability to generate personalized travel plans that take into account the user's emotions and stress levels. Furthermore, they lack the functionality to analyze the user's emotions in real time and adjust the plan based on the results, making it difficult to provide the optimal plan tailored to the user's psychological state.

[1173] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1174] In this invention, the server includes an input means for the user to input what they want to do on their day off, where they want to go, and their stress level; a receiving means for receiving information input from the user; an information acquisition means for obtaining weather information; an emotion recognition means for analyzing the user's emotions from facial recognition and voice tone; an emotion data processing means for adjusting the travel plan based on the analyzed emotion data; and a transmission means for sending the generated travel plan to the user. This makes it possible to generate a personalized travel plan that takes into account the user's emotions and stress level.

[1175] An "input means" is a device or interface for a user to input what they want to do, where they want to go, or their stress levels.

[1176] "Receiving means" refers to a device or function that receives information entered by a user and transmits it to a server for processing.

[1177] "Information acquisition means" refers to a device or function that sends requests to external information sources (e.g., weather information APIs) to acquire weather information and collects the necessary data.

[1178] A "plan generation means" is a device or function that automatically generates an optimal travel plan based on information received from the user and acquired weather information.

[1179] "Emotion recognition means" refers to a device or function that analyzes the user's facial recognition or voice tone to sense the user's emotions in real time.

[1180] "Emotional data processing means" refers to a device or function that adjusts a travel plan based on analyzed emotional data and generates a plan that is optimal for the user's psychological state.

[1181] "Transmission means" refers to a device or function that transmits the generated travel plan to the user's terminal and displays it to the user.

[1182] "Relaxing activities" refer to activities or experiences that reduce user stress and promote relaxation.

[1183] "Weather information" refers to data such as weather conditions (e.g., sunny, rainy, cloudy), temperature, and wind speed at a specified date, time, and location.

[1184] This invention is a system that automatically generates and provides an optimal travel plan to the user based on user input information, weather data, and the user's emotions. The system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, control means, emotion recognition means, and emotion data processing means.

[1185] System components

[1186] 1. Input method

[1187] The device displays a form for the user to input what they want to do, where they want to go, and their stress level. This form includes text fields and dropdown lists.

[1188] 2. Receiving means

[1189] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[1190] 3. Information acquisition means

[1191] The server sends a request to an external weather information API to retrieve weather data for a specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information. For example, the OpenWeatherMap API can be used.

[1192] 4. Emotion recognition means

[1193] The device analyzes the user's facial recognition and voice tone to sense their emotions in real time. For example, it utilizes Microsoft Azure's Face API or Google Cloud's Speech-to-Text API.

[1194] 5. Plan generation means

[1195] The server analyzes user input information, acquired weather data, and sentiment data to generate an optimal travel plan. Machine learning models (e.g., TensorFlow or PyTorch) can be used for this analysis.

[1196] 6. Emotional Data Processing Means

[1197] Based on analyzed emotional data, the travel plan is adjusted to generate the plan best suited to the user's psychological state. For example, if the user is feeling stressed, relaxing activities will be included in the travel plan.

[1198] 7. Transmission method

[1199] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[1200] Specific example

[1201] For example, if a user inputs "I want to go to the beach," selects "coastline" as the destination, and the analysis determines their stress level to be "moderate" and their emotion to be "somewhat tired," this data is sent to the server. Let's assume the following prompt is input into the generating AI model.

[1202] Example of a prompt

[1203] "The user entered 'I want to go to the beach' and selected 'coastline' as their destination. Their stress level is analyzed as moderate, and their emotion as slightly tired. The weather forecast for the next day is sunny with a temperature of 25°C. Please generate the optimal travel plan."

[1204] If the server receives data from the weather information API indicating "sunny, temperature 25°C," the server will generate the following travel plan based on this information.

[1205] Morning: Walking on the beach

[1206] Lunch: Lunch at a seaside cafe

[1207] Afternoon: Snorkeling

[1208] Evening: Relax at a nearby resort spa.

[1209] This plan is sent to the device and displayed to the user. The user can review the plan and make modifications as needed. In this way, the system helps users obtain the optimal travel plan with minimal effort and enjoy a fulfilling holiday. By adding emotion recognition capabilities, it becomes possible to create even more personalized plans for each user, providing them with an even more valuable vacation.

[1210] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1211] Step 1: User Input Phase

[1212] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The form includes text fields and dropdown lists. When the user enters information and presses the submit button, the input data is sent to the device. The input data may include phrases such as "I want to go to the beach," "coastline," and "moderate stress."

[1213] Input: User input information (things you want to do, places you want to go, stress level)

[1214] Output: Input data is sent to the terminal.

[1215] Step 2: Data reception and processing

[1216] The terminal sends user input data to the server. The server receives this data and stores it in a database or log for analysis. The stored data is then formatted for analysis.

[1217] Input: User input data sent from the terminal.

[1218] Output: The formatted data is saved to the server.

[1219] Step 3: Gathering weather information

[1220] The server sends a request to a weather information API based on the user's requested date and location. For example, it uses the OpenWeatherMap API to retrieve weather data for the specified date, time, and location. The retrieved weather data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, and wind speed.

[1221] Input: User's preferred date and location

[1222] Output: Acquired weather data (e.g., sunny, temperature 25°C)

[1223] Step 4: Emotion Recognition

[1224] The device analyzes the user's facial recognition and voice tone to sense their emotions in real time. For example, it uses Microsoft Azure's Face API or Google Cloud's Speech-to-Text API to analyze the user's emotions. The analyzed emotion data is sent to a server.

[1225] Input: User facial recognition and voice tone data

[1226] Output: Analyzed emotional data (e.g., slightly tired)

[1227] Step 5: Creating a travel plan

[1228] The server analyzes user input, acquired weather data, and sentiment data. Using machine learning models such as TensorFlow and PyTorch, it generates an optimal travel plan. The generated travel plan includes activities that take into account the user's stress levels and emotions.

[1229] Input: User input information, weather data, sentiment data

[1230] Output: Generated travel plan

[1231] Step 6: Submit and confirm your plan.

[1232] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then reviews it and makes any necessary modifications.

[1233] Input: Generated travel plan

[1234] Output: Travel plan displayed to the user

[1235] Through a clear and efficient process, users can effortlessly obtain the optimal travel plan and enjoy a fulfilling holiday. This system takes into account the user's emotions and stress levels, and can even create personalized plans tailored to each individual user.

[1236] (Application Example 2)

[1237] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1238] Conventional travel plan generation systems had the problem of not considering the user's emotions or mood, and therefore being unable to suggest the optimal trip and food delivery that matched the user's feelings at the time. Furthermore, the difficulty in fine-tuning the plan based on weather conditions and the user's stress level was also a challenge.

[1239] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for the user to input what they want to do on their day off, where they want to go, and their stress level; an emotion analysis means for analyzing the user's emotions; a plan generation means for generating an optimal travel plan based on information received from the user, acquired weather information, and analyzed emotion data; and a transmission means for sending the generated travel plan to the user. This makes it possible to generate an optimal travel plan that takes into account the user's emotions and stress level, as well as suggest appropriate restaurants and dining establishments.

[1240] "Input methods" refer to the means by which users input what they want to do on their days off, where they want to go, and their stress levels.

[1241] "Receiving means" refers to the means of receiving information entered by the user.

[1242] "Information acquisition means" refers to the means of obtaining weather information.

[1243] "Emotional analysis tools" are methods for analyzing a user's emotions.

[1244] A "plan generation method" is a means for generating an optimal travel plan based on information received from the user, acquired weather information, and analyzed sentiment data.

[1245] "Transmission means" refers to the means for sending the generated travel plan to the user.

[1246] A "plan adjustment method" is a means of including activities that have a relaxing effect in the travel plan, depending on the user's stress level.

[1247] "Control means" refers to means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[1248] The "food delivery function" is a feature that suggests appropriate dishes and dining establishments based on the results of sentiment analysis.

[1249] This invention is a system that automatically generates and provides optimal travel plans and food delivery suggestions to users based on information entered by the user, weather data, and the user's emotions. This system includes multiple means, such as input means, receiving means, information acquisition means, emotion analysis means, plan generation means, and transmission means.

[1250] System program

[1251] This system is implemented using Python. It uses the Requests library to call external weather information APIs and sentiment analysis APIs. This allows it to generate optimal travel plans and food delivery suggestions based on user input data, weather data, and sentiment data.

[1252] Program processing

[1253] 1. Hardware: Smartphone camera, internet connection

[1254] 2. Software: Python, Requests library

[1255] 3. Data processing and data calculation:

[1256] Obtaining weather data: The server obtains current weather data from a weather information API. Weather information includes sunny / rainy conditions, wind speed, temperature, etc.

[1257] Emotion Analysis: The device captures the user's facial expressions and voice and sends them to an emotion analysis API. This analysis classifies the user's emotions as "joy," "sadness," "anger," etc.

[1258] Generating the optimal travel plan: The server generates the optimal travel plan based on the received information, weather data, and emotion data. For example, outdoor activities are recommended on sunny days, and active plans are recommended if the emotion is "joyful."

[1259] Food delivery suggestions: The server suggests appropriate dishes and dining establishments based on emotional data. For example, if the emotion is "sad," a warm meal will be suggested.

[1260] Specific example

[1261] For example, if a user enters "I want to go to the beach," sets their stress level to "moderate," and the emotion analysis result is "slightly tired," this data is sent to the server. If the server receives data of "sunny, temperature 25°C" from the weather information API, the generated travel plan will be as follows.

[1262] Morning: Walking on the beach

[1263] Lunch: Lunch at a seaside cafe

[1264] Afternoon: Snorkeling

[1265] Evening: Relax at a nearby resort spa.

[1266] This plan is sent to the device and displayed to the user. Furthermore, because the user appears somewhat tired, a relaxing meal (e.g., soup) is suggested.

[1267] Example of a prompt

[1268] Examples of prompt statements for a generative AI model are as follows:

[1269] "Create an application that suggests optimal travel plans and food delivery based on weather data and user sentiment data. Write code that analyzes user input data (desired destination), weather data, and sentiment data to suggest appropriate plans and meals. Use Python and the Requests library to call external weather information APIs and sentiment analysis APIs."

[1270] As described above, the present invention can propose an optimal travel plan and food delivery service, taking into account the user's emotions and stress level. This allows users to enjoy a personalized travel and dining experience and have a fulfilling holiday.

[1271] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1272] Step 1:

[1273] The user opens a smartphone application and enters what they want to do, where they want to go, and their stress level. The entered data may include, for example, "I want to go to the beach," "coastline," and "stress level: moderate." This user input is sent to the server as input data.

[1274] Step 2:

[1275] The terminal receives information entered by the user. This information includes data about the user's desired destinations, activities, and stress levels. This data is aggregated on a server and used in the next step.

[1276] Step 3:

[1277] The server sends a request to an external weather information API to retrieve weather data for a specified date, time, and location. This request includes location information entered by the user. The returned weather data may include, for example, "sunny, temperature 25°C." This data is then stored on the server as weather data.

[1278] Step 4:

[1279] The device captures the user's facial expression with its camera and sends the image data to an emotion analysis API. The emotion analysis API analyzes the user's emotions, obtains emotion data such as "slightly tired," "happy," or "sad," and sends it to the server. This data is then stored on the server as emotion data.

[1280] Step 5:

[1281] The server generates an optimal travel plan based on user input, weather data, and sentiment data. This step utilizes a plan generation method. For example, if it's a sunny day and the user is "somewhat tired," a plan such as "Morning: Walking on the beach," "Lunch: Lunch at a seaside cafe," "Afternoon: Snorkeling," and "Evening: Relaxing at a nearby resort spa" might be generated.

[1282] Step 6:

[1283] The server generates a travel plan and sends it to the device. The device displays the generated travel plan to the user for review. The user can also make changes to the plan at this point.

[1284] Step 7:

[1285] The server suggests appropriate dishes and dining establishments based on emotional data. For example, if the user's emotional state is "somewhat tired," a relaxing "warm soup" might be suggested. This food delivery suggestion is adjusted based on the user's emotional state.

[1286] Through the above processing steps, users can receive optimal travel plans and food delivery suggestions based on their emotions, weather, and stress levels.

[1287] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1288] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1289] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1290] [Fourth Embodiment]

[1291] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1292] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1293] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1294] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1295] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1296] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1297] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1298] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1299] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1300] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1301] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1302] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1303] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1304] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on information entered by the user and weather data. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[1305] System Configuration

[1306] 1. Input method

[1307] The device provides the user with a form to input what they want to do, where they want to go, and their stress levels. This form may include text fields, dropdown lists, and other elements.

[1308] 2. Receiving means

[1309] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[1310] 3. Information acquisition means

[1311] The server sends a request to an external weather information API to retrieve weather data for the specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information.

[1312] 4. Plan generation means

[1313] The server analyzes user input and acquired weather data to generate the optimal travel plan. For example, it might include outdoor activities on sunny days and indoor activities on rainy days.

[1314] 5. Transmission method

[1315] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[1316] 6. Plan adjustment means

[1317] If a user's stress level is high, the server will add relaxing activities to their plan, such as booking a hot spring or massage.

[1318] 7. Control means

[1319] If the weather is bad, the server will include indoor activities in the plan. For example, visits to museums or movie theaters might be considered.

[1320] Program processing

[1321] 1. User Input Phase

[1322] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The user fills out this form and presses the submit button.

[1323] 2. Data reception and processing

[1324] The data entered by the user is sent from the terminal to the server. The server receives this data and begins processing it.

[1325] 3. Gathering weather information

[1326] The server sends a request to the weather information API based on the date and location requested by the user, and retrieves the relevant weather data.

[1327] 4. Creating a travel plan

[1328] The server analyzes user data and weather information to generate the optimal travel plan. The user's stress level is also taken into consideration, and relaxing activities are added as needed.

[1329] 5. Submit and confirm your plan

[1330] The server generates a plan and sends it to the device. The device displays the plan to the user, who then reviews and, if necessary, makes modifications.

[1331] Specific example

[1332] For example, if a user enters "I want to go hiking," selects "mountains" as the destination, and sets their stress level to "high," this data is sent to the server. If the server receives data such as "sunny, temperature 20°C" from the weather information API, the server will generate the following travel plan based on this.

[1333] Morning: Hiking in the mountains

[1334] Lunch: Lunch in the picnic area

[1335] Afternoon: Forest bathing and a short rest

[1336] Evening: Relax at a nearby hot spring facility.

[1337] This plan is sent to the device and displayed to the user. The user reviews the plan and makes any necessary modifications.

[1338] In this way, this system helps users obtain the optimal travel plan without any effort and enjoy a fulfilling holiday.

[1339] The following describes the processing flow.

[1340] Step 1:

[1341] The user accesses an input form on their device. The device displays input fields for what the user wants to do, where they want to go, and their stress level.

[1342] Step 2:

[1343] The user enters the required information into the form. When the user presses the "Submit" button, the device sends the entered information to the server.

[1344] Step 3:

[1345] The server uses a receiving mechanism to receive data sent by the user (things they want to do, places they want to go, stress levels). This aggregates data regarding the user's desires and stress levels.

[1346] Step 4:

[1347] The server uses its information retrieval method to send a request to the weather information API to obtain weather data for the specified date, time, and location. The request includes the date and location specified by the user.

[1348] Step 5:

[1349] The weather information API returns weather information to the server. The server analyzes the returned data to obtain specific weather conditions, temperature, wind speed, etc., for the relevant date, time, and location.

[1350] Step 6:

[1351] The server uses a plan generation mechanism to analyze user input information and acquired weather data. Based on the analysis results, it selects outdoor activities if the weather is sunny, and indoor activities if it is raining.

[1352] Step 7:

[1353] The server uses a plan adjustment mechanism to consider the user's stress level. If stress levels are high, relaxing activities (such as hot springs or massages) are added to the travel plan.

[1354] Step 8:

[1355] The server generates the final travel plan, formats the plan details, and prepares to send them to the terminal.

[1356] Step 9:

[1357] The server uses a transmission method to send the generated travel plan to the terminal.

[1358] Step 10:

[1359] The device displays the plan details to the user. The user reviews the details and modifies parts of the plan if necessary.

[1360] Step 11:

[1361] The user reviews and approves the final plan. If the user is satisfied with the plan, they press the "Approve" button to proceed to the preparation phase.

[1362] Step 12:

[1363] Based on the user's confirmed plan, necessary preparations will be made. This includes confirming transportation to the designated location and what items to bring.

[1364] Step 13:

[1365] Users spend their holidays according to their pre-determined plans. This allows for ideal refreshment and rest, enabling them to approach the following week's work with a positive attitude.

[1366] (Example 1)

[1367] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1368] Traditional travel planning systems required users to individually create plans based on weather information and their own preferences, which was time-consuming and made it difficult to select appropriate relaxation activities that took stress levels into consideration. Furthermore, flexible responses to sudden weather changes were required. Therefore, there was a need for a system that would allow users to easily obtain optimal travel plans while also taking weather and stress levels into account.

[1369] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1370] In this invention, the server includes input means for the user to input what they want to do on their day off, where they want to go, and their stress level; receiving means for receiving information input from the user; information acquisition means for obtaining weather information; plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and transmission means for sending the generated travel plan to the user. This makes it possible for the user to obtain an optimal travel plan that takes weather and stress levels into consideration without any effort on their part.

[1371] "Input means" refers to a device or function that provides an interface for users to input information such as what they want to do on their days off, places they want to go, and their stress levels.

[1372] "Receiving means" refers to a device or function for receiving information transmitted by a user via input means.

[1373] "Information acquisition means" refers to a device or function for acquiring weather data from external weather information providers.

[1374] "Plan generation means" refers to a device or function that automatically generates an optimal travel plan based on information received from the user and weather information obtained from information acquisition means.

[1375] "Transmission means" refers to a device or function for transmitting the generated travel itinerary to the user.

[1376] A "plan adjustment means" is a device or function that automatically adds or adjusts relaxing activities to a travel plan according to the user's stress level.

[1377] "Control means" refers to a device or function for automatically generating travel plans, including indoor activities, when weather information indicates bad weather.

[1378] A "travel plan" is a specific travel schedule and activity plan generated based on the user's preferences and weather information.

[1379] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on user input and weather data. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[1380] Hardware and software to be used

[1381] Input method: The user interface uses a smartphone or PC browser. The form includes text fields, dropdown lists, buttons, etc.

[1382] Receiving method: Data is sent from the terminal to the server using the HTTP protocol. User-entered information is sent in JSON format.

[1383] Information acquisition method: Weather data is obtained using an external weather information API (e.g., OpenWeatherMap API). API requests are made using the HTTP protocol.

[1384] Plan generation method: A generative AI model (e.g., GPT-3) running on a server is used. Prompt messages are generated based on user input information and acquired weather data, and then input into the AI ​​model.

[1385] Transmission method: The generated travel plan is sent to the terminal in JSON format using the HTTP protocol. The terminal displays the received data in the user interface.

[1386] Planning adjustment mechanism: An algorithm is implemented on the server to add relaxing activities according to the user's stress level.

[1387] Control mechanism: Implement logic on the server to recommend indoor activities in case of bad weather.

[1388] Specific example

[1389] For example, if a user enters "I want to go hiking," selects "mountains" as the destination, and sets their stress level to "high," this data is sent to the server in JSON format. When the server receives data such as "sunny, temperature 20°C" from the weather information API, it generates the following prompt message and inputs it into the generating AI model.

[1390] "The user wants to hike, travel to the mountains, the weather is sunny, the temperature is 20°C, and their stress level is high. Please generate the optimal travel plan."

[1391] The generative AI model generates the following travel plan based on this prompt.

[1392] Morning: Hiking in the mountains

[1393] Lunch: Lunch in the picnic area

[1394] Afternoon: Forest bathing and a short rest

[1395] Evening: Relax at a nearby hot spring facility.

[1396] This plan is sent from the server to the terminal, which then displays it in the user interface. The user reviews this plan and makes any necessary modifications.

[1397] This system allows users to easily obtain the optimal travel plan and enjoy a fulfilling holiday without any effort.

[1398] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1399] Step 1: User Input Phase

[1400] Specific operation: The device displays a dedicated form to the user. The form includes fields for entering "what you want to do," "where you want to go," and "stress level."

[1401] Input: The user enters information such as "I want to go hiking," "mountain," and "high stress level."

[1402] Output: The information entered by the user is sent to the terminal.

[1403] Step 2: Data reception and processing

[1404] Specific operation: Information entered by the user is sent from the terminal to the server, and the server receives this data.

[1405] Input: JSON data containing user preferences sent from the device.

[1406] Data processing: The server analyzes the received data and extracts the information needed for the next step.

[1407] Output: Extracted data on user preferences and stress levels.

[1408] Step 3: Gathering weather information

[1409] Specific operation: The server sends a request to an external weather information API (e.g., OpenWeatherMap API).

[1410] Input: Information about the date and location specified by the user.

[1411] Data processing: The server sends an API request to retrieve the relevant weather data.

[1412] Output: Acquired weather information (weather conditions, temperature, wind speed, etc.).

[1413] Step 4: Creating a travel plan

[1414] Specific operation: The server uses user input information and acquired weather data to input prompt messages into a generating AI model to create the optimal travel plan.

[1415] Input: User preferences, stress levels, and weather information.

[1416] Prompt: "The user wants to hike, travel to the mountains, the weather is sunny, the temperature is 20°C, and their stress level is high. Please generate the optimal travel plan."

[1417] Data processing: A generative AI model analyzes prompt sentences and generates the optimal travel plan.

[1418] Output: Generated travel plan (morning: hiking in the mountains, lunch: lunch at a picnic area, afternoon: forest bathing, evening: relaxing at a hot spring facility).

[1419] Step 5: Submit and confirm your plan

[1420] Specific operation: The server generates a travel plan and sends it to the terminal.

[1421] Input: Generated travel plan.

[1422] Output: The terminal displays the received travel plan in the user interface for the user to confirm.

[1423] In this way, the system allows users to obtain the optimal travel plan through specific inputs, data processing, data calculations, and outputs at each step.

[1424] (Application Example 1)

[1425] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1426] Conventional travel plan generation systems generate travel plans based on user input and weather data, but they are not compatible with use in autonomous vehicles. Furthermore, there is no mechanism to directly transmit the generated plan to the vehicle's display or navigation system, requiring users to manually configure it. Additionally, there is insufficient mechanism for automatically making appropriate real-time adjustments based on weather and stress levels.

[1427] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1428] In this invention, the server includes input means for the user to input what they want to do on their day off, where they want to go, and their stress level; receiving means for receiving information input from the user; information acquisition means for obtaining weather information; plan generation means for generating an optimal travel plan based on the information received from the user and the acquired weather information; and transmission means for transmitting the generated travel plan to the vehicle's display and navigation system. This makes it possible for the user to automatically perform everything from generating and displaying a travel plan to setting the navigation system within the autonomous vehicle.

[1429] An "input device" is a device that provides an interface for users to input what they want to do on their days off, where they want to go, and their stress levels.

[1430] A "receiving device" is a device that has the function of receiving information entered by a user and sending it to a server.

[1431] "Information acquisition means" refers to a mechanism for obtaining weather information from external services.

[1432] A "plan generation device" is a device that has an algorithm to generate the optimal travel plan based on information received from the user and acquired weather information.

[1433] "Transmission means" refers to a mechanism that transmits the generated travel plan to the vehicle's display and navigation system.

[1434] A "plan adjustment device" is a device that has the function of including activities with a relaxing effect in the travel plan according to the user's stress level.

[1435] The "control means" is a mechanism that generates a travel plan, including indoor activities, when weather information indicates bad weather.

[1436] A "vehicle display" is a screen installed inside an autonomous vehicle that visually displays information.

[1437] A "navigation system" is a system that guides you to your destination based on the vehicle's location information.

[1438] An "autonomous vehicle" is a vehicle that can operate automatically without requiring driver intervention.

[1439] This invention relates to a system that automatically generates an optimal travel plan based on user input and weather data, and provides it within an autonomous vehicle. This system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, and control means.

[1440] System Configuration

[1441] 1. Input method:

[1442] The device provides an interface for users to input what they want to do on their days off, where they want to go, and their stress levels. This includes text fields and dropdown lists.

[1443] 2. Receiving means:

[1444] It has the function of receiving information entered from a terminal and sending it to the server.

[1445] 3. Information acquisition means:

[1446] The server uses an external weather information API to obtain weather information. This allows it to collect weather data for the date and location requested by the user.

[1447] 4. Plan generation means:

[1448] The server generates an optimal travel plan based on information received from the user and acquired weather information. For example, it might include outdoor activities on sunny days and indoor activities on bad weather days.

[1449] 5. Transmission method:

[1450] The server transmits the generated travel plan to the vehicle's display and navigation system. This allows the user to review and execute the plan.

[1451] 6. Plan adjustment methods:

[1452] Depending on the user's stress level, relaxing activities will be included in the travel plan. For example, reservations at hot springs or massage parlors may be considered.

[1453] 7. Control means:

[1454] If the weather is bad, the server will include indoor activities in the plan, such as visits to museums or movie theaters.

[1455] System operation

[1456] This system is designed for use in autonomous vehicles. Before or during boarding, the user enters information using the vehicle's display to generate a travel plan. The entered information is sent from the terminal to a server, which collects weather information and generates the optimal travel plan. The generated plan is then sent to the vehicle's display and navigation system.

[1457] Specific example

[1458] For example, if a user enters "Mountain" as the "Place to go," sets "Hiking" as the "Activity to do," and selects "2023-10-10" as the date, the weather data API will return "Sunny, temperature 20°C" as the weather for "2023-10-10." Based on this, the server will generate the following travel plan.

[1459] Morning: Hiking in the mountains

[1460] Lunch: Lunch in the picnic area

[1461] Afternoon: Forest bathing and a short rest

[1462] Evening: Relax at a nearby hot spring facility.

[1463] Example of a prompt

[1464] Input: As information to generate a travel plan, the user entered the desired location "Mountain," the activity "Hiking," the planned visit date "2023-10-10," and the user's stress level "High." The weather data API returned the data "Sunny, temperature 20°C."

[1465] Output: Travel plan including the following elements:

[1466] Morning: Hiking in the mountains

[1467] Lunch: Lunch in the picnic area

[1468] Afternoon: Forest bathing and a short rest

[1469] Evening: Relax at a nearby hot spring facility.

[1470] This system allows users to automatically generate and display travel plans and configure navigation settings all within an autonomous vehicle.

[1471] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1472] Step 1:

[1473] Users use the vehicle's display to input their "things they want to do," "places they want to go," and "stress levels." The entered data is collected as specific details in text fields and dropdown lists.

[1474] input:

[1475] Things I want to do: Hiking

[1476] Places I want to go: Mountains

[1477] Stress level: High

[1478] output:

[1479] Set of input data

[1480] Specific actions:

[1481] The user operates the interface on the display to input information and presses the input button.

[1482] Step 2:

[1483] The terminal receives data entered by the user and sends it to the server. The input information is sent as a request to the server's API via the terminal's communication module.

[1484] input:

[1485] User input data

[1486] output:

[1487] User input data sent to the server

[1488] Specific actions:

[1489] The terminal's communication module receives user input and sends an HTTP POST request to the server.

[1490] Step 3:

[1491] The server sends a request to an external weather information API to retrieve weather data. Weather data for the specified date and location is returned.

[1492] input:

[1493] Planned visit date and places you want to visit

[1494] output:

[1495] Weather data (e.g., sunny, temperature 20°C)

[1496] Specific actions:

[1497] The server sends an API request to the weather information service and receives weather data as a response.

[1498] Step 4:

[1499] The server generates an optimal travel plan based on information received from the user and acquired weather data. A generation AI model is used to select the most suitable activities for the user's situation.

[1500] input:

[1501] User input data

[1502] Weather data

[1503] output:

[1504] A generated travel plan (e.g., morning: hiking in the mountains)

[1505] Specific actions:

[1506] The server inputs user data and weather data into the generated AI model and generates a travel plan based on the prompt messages.

[1507] Step 5:

[1508] The server sends the generated travel plan to the vehicle's display and navigation system. The travel plan is displayed as a visual form and navigation route.

[1509] input:

[1510] Generated travel plan

[1511] output:

[1512] Plans displayed on the display and navigation system

[1513] Specific actions:

[1514] The server sends the generated plan to the terminal, which then displays it on its display and navigation system so that the user can visually confirm it.

[1515] Step 6:

[1516] The server includes relaxing activities in the travel plan based on the user's stress level. If necessary, it selects and incorporates additional activities into the plan.

[1517] input:

[1518] User stress levels

[1519] output:

[1520] Final plan includes activities with a relaxing effect.

[1521] Specific actions:

[1522] The server adjusts the plan to include relaxing activities (e.g., visiting a hot spring facility) based on the user's stress level.

[1523] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1524] This invention relates to a system that automatically generates and provides an optimal travel plan to a user based on user input, weather data, and the user's emotions. This system consists of an input means, a receiving means, an information acquisition means, a plan generation means, a transmission means, a plan adjustment means, a control means, and an emotion engine.

[1525] System Configuration

[1526] 1. Input method

[1527] The device displays a form for the user to input what they want to do, where they want to go, and their stress level. This form includes text fields and dropdown lists.

[1528] 2. Receiving means

[1529] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[1530] 3. Information acquisition means

[1531] The server sends a request to an external weather information API to retrieve weather data for the specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information.

[1532] 4. Plan generation means

[1533] The server analyzes user input and acquired weather data to generate the optimal travel plan. For example, it might include outdoor activities on sunny days and indoor activities on rainy days.

[1534] 5. Transmission method

[1535] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[1536] 6. Plan adjustment means

[1537] If a user's stress level is high, the server will add relaxing activities to their plan, such as booking a hot spring or massage.

[1538] 7. Control means

[1539] If the weather is bad, the server will include indoor activities in the plan. For example, visits to museums or movie theaters might be considered.

[1540] 8. Emotional Engine

[1541] The device analyzes the user's emotions based on facial recognition and voice tone. For example, by having the user speak into the camera, the device analyzes their emotions (joy, sadness, anger, etc.) in real time.

[1542] 9. Integrated analysis of emotions and stress

[1543] The server integrates and analyzes the results received from the emotion engine with the user's inputted stress levels, and incorporates activities that have an overall stress-reducing effect into the plan.

[1544] Program processing

[1545] 1. User Input Phase

[1546] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The user fills out this form and presses the submit button.

[1547] 2. Data reception and processing

[1548] The data entered by the user is sent from the terminal to the server. The server receives this data and begins processing it.

[1549] 3. Gathering weather information

[1550] The server sends a request to the weather information API based on the date and location requested by the user, and retrieves the relevant weather data.

[1551] 4. Emotion recognition

[1552] The device analyzes the user's emotions from their facial expressions and tone of voice, and sends the results to the server.

[1553] 5. Creating a travel plan

[1554] The server analyzes user data, acquired weather information, and emotional data to generate an optimal travel plan. The user's stress level is also taken into consideration, and relaxation activities are added as needed.

[1555] 6. Submit and confirm plan

[1556] The server generates a plan and sends it to the device. The device displays the plan to the user, who then reviews and, if necessary, makes modifications.

[1557] Specific example

[1558] For example, if a user enters "I want to go to the beach," selects "coastline" as the destination, and their stress level is analyzed as "moderate" and their emotion as "somewhat tired," this data is sent to the server. If the server receives data such as "sunny, temperature 25°C" from the weather information API, the server will generate the following travel plan based on this.

[1559] Morning: Walking on the beach

[1560] Lunch: Lunch at a seaside cafe

[1561] Afternoon: Snorkeling

[1562] Evening: Relax at a nearby resort spa.

[1563] This plan is sent to the device and displayed to the user. The user can review the plan and make modifications as needed.

[1564] In this way, this system helps users obtain the optimal travel plan without effort and enjoy a fulfilling holiday. By adding an emotion engine, it becomes possible to create even more personalized plans for individual users, providing them with an even more valuable vacation.

[1565] The following describes the processing flow.

[1566] Step 1:

[1567] The user accesses an input form on their device. The device displays input fields for what the user wants to do, where they want to go, and their stress level.

[1568] Step 2:

[1569] The user enters the required information into the form. When the user presses the "Submit" button, the device sends the entered information to the server.

[1570] Step 3:

[1571] The server uses a receiving mechanism to receive data sent by the user (things they want to do, places they want to go, stress levels). This aggregates data regarding the user's desires and stress levels.

[1572] Step 4:

[1573] The server uses its information retrieval method to send a request to the weather information API to obtain weather data for the specified date, time, and location. The request includes the date and location specified by the user.

[1574] Step 5:

[1575] The weather information API returns weather information to the server. The server analyzes the returned data to obtain specific weather conditions, temperature, wind speed, etc., for the relevant date, time, and location.

[1576] Step 6:

[1577] The device activates an emotion engine to analyze the user's emotions based on facial recognition and voice tone. As the user speaks into the camera, the device analyzes their emotions (joy, sadness, anger, etc.) in real time and sends the results to the server.

[1578] Step 7:

[1579] The server uses a plan generation mechanism to analyze user input information, acquired weather data, and sentiment data. Based on the analysis results, it selects outdoor activities if the weather is sunny, and indoor activities if it is rainy.

[1580] Step 8:

[1581] The server uses a plan adjustment mechanism to consider the user's stress level and emotional state. If the user is stressed or emotionally exhausted, relaxing activities (such as hot springs or massages) will be added to the travel plan.

[1582] Step 9:

[1583] The server generates the final travel plan, formats the plan details, and prepares to send them to the terminal.

[1584] Step 10:

[1585] The server uses a transmission method to send the generated travel plan to the terminal.

[1586] Step 11:

[1587] The device displays the plan details to the user. The user reviews the details and modifies parts of the plan if necessary.

[1588] Step 12:

[1589] The user reviews and approves the final plan. If the user is satisfied with the plan, they press the "Approve" button to proceed to the preparation phase.

[1590] Step 13:

[1591] Based on the user's confirmed plan, necessary preparations will be made. This includes confirming transportation to the designated location and what items to bring.

[1592] Step 14:

[1593] Users spend their holidays according to their pre-determined plans. This allows for ideal refreshment and rest, enabling them to approach the following week's work with a positive attitude.

[1594] (Example 2)

[1595] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1596] Current travel plan generation systems can provide plans based on user preferences and weather information, but they lack the ability to generate personalized travel plans that take into account the user's emotions and stress levels. Furthermore, they lack the functionality to analyze the user's emotions in real time and adjust the plan based on the results, making it difficult to provide the optimal plan tailored to the user's psychological state.

[1597] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1598] In this invention, the server includes an input means for the user to input what they want to do on their day off, where they want to go, and their stress level; a receiving means for receiving information input from the user; an information acquisition means for obtaining weather information; an emotion recognition means for analyzing the user's emotions from facial recognition and voice tone; an emotion data processing means for adjusting the travel plan based on the analyzed emotion data; and a transmission means for sending the generated travel plan to the user. This makes it possible to generate a personalized travel plan that takes into account the user's emotions and stress level.

[1599] An "input means" is a device or interface for a user to input what they want to do, where they want to go, or their stress levels.

[1600] "Receiving means" refers to a device or function that receives information entered by a user and transmits it to a server for processing.

[1601] "Information acquisition means" refers to a device or function that sends requests to external information sources (e.g., weather information APIs) to acquire weather information and collects the necessary data.

[1602] A "plan generation means" is a device or function that automatically generates an optimal travel plan based on information received from the user and acquired weather information.

[1603] "Emotion recognition means" refers to a device or function that analyzes the user's facial recognition or voice tone to sense the user's emotions in real time.

[1604] "Emotional data processing means" refers to a device or function that adjusts a travel plan based on analyzed emotional data and generates a plan that is optimal for the user's psychological state.

[1605] "Transmission means" refers to a device or function that transmits the generated travel plan to the user's terminal and displays it to the user.

[1606] "Relaxing activities" refer to activities or experiences that reduce user stress and promote relaxation.

[1607] "Weather information" refers to data such as weather conditions (e.g., sunny, rainy, cloudy), temperature, and wind speed at a specified date, time, and location.

[1608] This invention is a system that automatically generates and provides an optimal travel plan to the user based on user input information, weather data, and the user's emotions. The system consists of input means, receiving means, information acquisition means, plan generation means, transmission means, plan adjustment means, control means, emotion recognition means, and emotion data processing means.

[1609] System components

[1610] 1. Input method

[1611] The device displays a form for the user to input what they want to do, where they want to go, and their stress level. This form includes text fields and dropdown lists.

[1612] 2. Receiving means

[1613] The terminal receives the information entered by the user and sends it to the server. This allows data regarding the user's preferences and stress levels to be collected on the server.

[1614] 3. Information acquisition means

[1615] The server sends a request to an external weather information API to retrieve weather data for a specified date, time, and location. This data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, wind speed, and other information. For example, the OpenWeatherMap API can be used.

[1616] 4. Emotion recognition means

[1617] The device analyzes the user's facial recognition and voice tone to sense their emotions in real time. For example, it utilizes Microsoft Azure's Face API or Google Cloud's Speech-to-Text API.

[1618] 5. Plan generation means

[1619] The server analyzes user input information, acquired weather data, and sentiment data to generate an optimal travel plan. Machine learning models (e.g., TensorFlow or PyTorch) can be used for this analysis.

[1620] 6. Emotional Data Processing Means

[1621] Based on analyzed emotional data, the travel plan is adjusted to generate the plan best suited to the user's psychological state. For example, if the user is feeling stressed, relaxing activities will be included in the travel plan.

[1622] 7. Transmission method

[1623] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then confirms them.

[1624] Specific example

[1625] For example, if a user inputs "I want to go to the beach," selects "coastline" as the destination, and the analysis determines their stress level to be "moderate" and their emotion to be "somewhat tired," this data is sent to the server. Let's assume the following prompt is input into the generating AI model.

[1626] Example of a prompt

[1627] "The user entered 'I want to go to the beach' and selected 'coastline' as their destination. Their stress level is analyzed as moderate, and their emotion as slightly tired. The weather forecast for the next day is sunny with a temperature of 25°C. Please generate the optimal travel plan."

[1628] If the server receives data from the weather information API indicating "sunny, temperature 25°C," the server will generate the following travel plan based on this information.

[1629] Morning: Walking on the beach

[1630] Lunch: Lunch at a seaside cafe

[1631] Afternoon: Snorkeling

[1632] Evening: Relax at a nearby resort spa.

[1633] This plan is sent to the device and displayed to the user. The user can review the plan and make modifications as needed. In this way, the system helps users obtain the optimal travel plan with minimal effort and enjoy a fulfilling holiday. By adding emotion recognition capabilities, it becomes possible to create even more personalized plans for each user, providing them with an even more valuable vacation.

[1634] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1635] Step 1: User Input Phase

[1636] The device displays a form for the user to input "things they want to do," "places they want to go," and "stress levels." The form includes text fields and dropdown lists. When the user enters information and presses the submit button, the input data is sent to the device. The input data may include phrases such as "I want to go to the beach," "coastline," and "moderate stress."

[1637] Input: User input information (things you want to do, places you want to go, stress level)

[1638] Output: Input data is sent to the terminal.

[1639] Step 2: Data reception and processing

[1640] The terminal sends user input data to the server. The server receives this data and stores it in a database or log for analysis. The stored data is then formatted for analysis.

[1641] Input: User input data sent from the terminal.

[1642] Output: The formatted data is saved to the server.

[1643] Step 3: Gathering weather information

[1644] The server sends a request to a weather information API based on the user's requested date and location. For example, it uses the OpenWeatherMap API to retrieve weather data for the specified date, time, and location. The retrieved weather data includes weather conditions (sunny, rainy, cloudy, etc.), temperature, and wind speed.

[1645] Input: User's preferred date and location

[1646] Output: Acquired weather data (e.g., sunny, temperature 25°C)

[1647] Step 4: Emotion Recognition

[1648] The device analyzes the user's facial recognition and voice tone to sense their emotions in real time. For example, it uses Microsoft Azure's Face API or Google Cloud's Speech-to-Text API to analyze the user's emotions. The analyzed emotion data is sent to a server.

[1649] Input: User facial recognition and voice tone data

[1650] Output: Analyzed emotional data (e.g., slightly tired)

[1651] Step 5: Creating a travel plan

[1652] The server analyzes user input, acquired weather data, and sentiment data. Using machine learning models such as TensorFlow and PyTorch, it generates an optimal travel plan. The generated travel plan includes activities that take into account the user's stress levels and emotions.

[1653] Input: User input information, weather data, sentiment data

[1654] Output: Generated travel plan

[1655] Step 6: Submit and confirm your plan.

[1656] The server generates a travel plan and sends it to the device. The device displays the plan details to the user, who then reviews it and makes any necessary modifications.

[1657] Input: Generated travel plan

[1658] Output: Travel plan displayed to the user

[1659] Through a clear and efficient process, users can effortlessly obtain the optimal travel plan and enjoy a fulfilling holiday. This system takes into account the user's emotions and stress levels, and can even create personalized plans tailored to each individual user.

[1660] (Application Example 2)

[1661] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1662] Conventional travel plan generation systems had the problem of not considering the user's emotions or mood, and therefore being unable to suggest the optimal trip and food delivery that matched the user's feelings at the time. Furthermore, the difficulty in fine-tuning the plan based on weather conditions and the user's stress level was also a challenge.

[1663] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an input means for the user to input what they want to do on their day off, where they want to go, and their stress level; an emotion analysis means for analyzing the user's emotions; a plan generation means for generating an optimal travel plan based on information received from the user, acquired weather information, and analyzed emotion data; and a transmission means for sending the generated travel plan to the user. This makes it possible to generate an optimal travel plan that takes into account the user's emotions and stress level, as well as suggest appropriate restaurants and dining establishments.

[1664] "Input methods" refer to the means by which users input what they want to do on their days off, where they want to go, and their stress levels.

[1665] "Receiving means" refers to the means of receiving information entered by the user.

[1666] "Information acquisition means" refers to the means of obtaining weather information.

[1667] "Emotional analysis tools" are methods for analyzing a user's emotions.

[1668] A "plan generation method" is a means for generating an optimal travel plan based on information received from the user, acquired weather information, and analyzed sentiment data.

[1669] "Transmission means" refers to the means for sending the generated travel plan to the user.

[1670] A "plan adjustment method" is a means of including activities that have a relaxing effect in the travel plan, depending on the user's stress level.

[1671] "Control means" refers to means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[1672] The "food delivery function" is a feature that suggests appropriate dishes and dining establishments based on the results of sentiment analysis.

[1673] This invention is a system that automatically generates and provides optimal travel plans and food delivery suggestions to users based on information entered by the user, weather data, and the user's emotions. This system includes multiple means, such as input means, receiving means, information acquisition means, emotion analysis means, plan generation means, and transmission means.

[1674] System program

[1675] This system is implemented using Python. It uses the Requests library to call external weather information APIs and sentiment analysis APIs. This allows it to generate optimal travel plans and food delivery suggestions based on user input data, weather data, and sentiment data.

[1676] Program processing

[1677] 1. Hardware: Smartphone camera, internet connection

[1678] 2. Software: Python, Requests library

[1679] 3. Data processing and data calculation:

[1680] Obtaining weather data: The server obtains current weather data from a weather information API. Weather information includes sunny / rainy conditions, wind speed, temperature, etc.

[1681] Emotion Analysis: The device captures the user's facial expressions and voice and sends them to an emotion analysis API. This analysis classifies the user's emotions as "joy," "sadness," "anger," etc.

[1682] Generating the optimal travel plan: The server generates the optimal travel plan based on the received information, weather data, and emotion data. For example, outdoor activities are recommended on sunny days, and active plans are recommended if the emotion is "joyful."

[1683] Food delivery suggestions: The server suggests appropriate dishes and dining establishments based on emotional data. For example, if the emotion is "sad," a warm meal will be suggested.

[1684] Specific example

[1685] For example, if a user enters "I want to go to the beach," sets their stress level to "moderate," and the emotion analysis result is "slightly tired," this data is sent to the server. If the server receives data of "sunny, temperature 25°C" from the weather information API, the generated travel plan will be as follows.

[1686] Morning: Walking on the beach

[1687] Lunch: Lunch at a seaside cafe

[1688] Afternoon: Snorkeling

[1689] Evening: Relax at a nearby resort spa.

[1690] This plan is sent to the device and displayed to the user. Furthermore, because the user appears somewhat tired, a relaxing meal (e.g., soup) is suggested.

[1691] Example of a prompt

[1692] Examples of prompt statements for a generative AI model are as follows:

[1693] "Create an application that suggests optimal travel plans and food delivery based on weather data and user sentiment data. Write code that analyzes user input data (desired destination), weather data, and sentiment data to suggest appropriate plans and meals. Use Python and the Requests library to call external weather information APIs and sentiment analysis APIs."

[1694] As described above, the present invention can propose an optimal travel plan and food delivery service, taking into account the user's emotions and stress level. This allows users to enjoy a personalized travel and dining experience and have a fulfilling holiday.

[1695] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1696] Step 1:

[1697] The user opens a smartphone application and enters what they want to do, where they want to go, and their stress level. The entered data may include, for example, "I want to go to the beach," "coastline," and "stress level: moderate." This user input is sent to the server as input data.

[1698] Step 2:

[1699] The terminal receives information entered by the user. This information includes data about the user's desired destinations, activities, and stress levels. This data is aggregated on a server and used in the next step.

[1700] Step 3:

[1701] The server sends a request to an external weather information API to retrieve weather data for a specified date, time, and location. This request includes location information entered by the user. The returned weather data may include, for example, "sunny, temperature 25°C." This data is then stored on the server as weather data.

[1702] Step 4:

[1703] The device captures the user's facial expression with its camera and sends the image data to an emotion analysis API. The emotion analysis API analyzes the user's emotions, obtains emotion data such as "slightly tired," "happy," or "sad," and sends it to the server. This data is then stored on the server as emotion data.

[1704] Step 5:

[1705] The server generates an optimal travel plan based on user input, weather data, and sentiment data. This step utilizes a plan generation method. For example, if it's a sunny day and the user is "somewhat tired," a plan such as "Morning: Walking on the beach," "Lunch: Lunch at a seaside cafe," "Afternoon: Snorkeling," and "Evening: Relaxing at a nearby resort spa" might be generated.

[1706] Step 6:

[1707] The server generates a travel plan and sends it to the device. The device displays the generated travel plan to the user for review. The user can also make changes to the plan at this point.

[1708] Step 7:

[1709] The server suggests appropriate dishes and dining establishments based on emotional data. For example, if the user's emotional state is "somewhat tired," a relaxing "warm soup" might be suggested. This food delivery suggestion is adjusted based on the user's emotional state.

[1710] Through the above processing steps, users can receive optimal travel plans and food delivery suggestions based on their emotions, weather, and stress levels.

[1711] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1712] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1713] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[1714] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1715] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[1716] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[1717] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[1718] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[1719] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[1720] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1721] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1722] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1723] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1724] 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.

[1725] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1726] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1727] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1728] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1729] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1730] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1731] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[1732] The following is further disclosed regarding the embodiments described above.

[1733] (Claim 1)

[1734] An input method for users to enter what they want to do on their days off, where they want to go, and their stress levels,

[1735] A receiving means for receiving information entered by the user,

[1736] A means of obtaining information for acquiring weather information,

[1737] A plan generation means that generates an optimal travel plan based on information received from the user and acquired weather information,

[1738] A means for sending the generated travel plan to the user,

[1739] A system that includes this.

[1740] (Claim 2)

[1741] The system according to claim 1, further comprising a plan adjustment means for including activities with a relaxing effect in the travel plan according to the user's stress level.

[1742] (Claim 3)

[1743] The system according to claim 1, further comprising control means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[1744] "Example 1"

[1745] (Claim 1)

[1746] An input method for users to enter what they want to do on their days off, where they want to go, and their stress levels,

[1747] A receiving means for receiving information entered by the user,

[1748] A means of obtaining information for acquiring weather information,

[1749] A plan generation means that generates an optimal travel schedule based on information received from the user and acquired weather information,

[1750] A means for sending the generated travel itinerary to the user,

[1751] A system that includes this.

[1752] (Claim 2)

[1753] The system according to claim 1, further comprising a means for adjusting travel plans to include activities that have a relaxing effect depending on the user's stress level.

[1754] (Claim 3)

[1755] The system according to claim 1, further comprising control means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[1756] "Application Example 1"

[1757] (Claim 1)

[1758] An input method for users to enter what they want to do on their days off, where they want to go, and their stress levels,

[1759] A receiving means for receiving information entered by the user,

[1760] A means of obtaining information for acquiring weather information,

[1761] A plan generation means that generates an optimal travel plan based on information received from the user and acquired weather information,

[1762] A transmission means for sending the generated travel plan to the vehicle's display and navigation system,

[1763] A system that includes this.

[1764] (Claim 2)

[1765] The system according to claim 1, further comprising a plan adjustment means for including activities with a relaxing effect in the travel plan according to the user's stress level.

[1766] (Claim 3)

[1767] The system according to claim 1, further comprising control means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[1768] "Example 2 of combining an emotion engine"

[1769] (Claim 1)

[1770] An input method for users to enter what they want to do on their days off, where they want to go, and their stress levels,

[1771] A receiving means for receiving information entered by the user,

[1772] A means of obtaining information for acquiring weather information,

[1773] A plan generation means that generates an optimal travel plan based on information received from the user and acquired weather information,

[1774] An emotion recognition method for analyzing emotions from the user's facial recognition and voice tone,

[1775] An emotional data processing method that adjusts travel plans based on analyzed emotional data,

[1776] A means for sending the generated travel plan to the user,

[1777] A system that includes this.

[1778] (Claim 2)

[1779] The system according to claim 1, further comprising a plan adjustment means for including activities with a relaxing effect in the travel plan according to the user's stress level.

[1780] (Claim 3)

[1781] The system according to claim 1, further comprising control means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[1782] "Application example 2 of combining emotional engines"

[1783] (Claim 1)

[1784] An input method for users to enter what they want to do on their days off, where they want to go, and their stress levels,

[1785] A receiving means for receiving information entered by the user,

[1786] A means of obtaining information for acquiring weather information,

[1787] A means of analyzing user emotions,

[1788] A plan generation means that generates an optimal travel plan based on information received from the user, acquired weather information, and analyzed sentiment data,

[1789] A means for sending the generated travel plan to the user,

[1790] A system that includes this.

[1791] (Claim 2)

[1792] The system according to claim 1, further comprising a plan adjustment means for including activities with a relaxing effect in the travel plan according to the user's stress level.

[1793] (Claim 3)

[1794] The system according to claim 1, further comprising control means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

[1795] (Claim 4)

[1796] The system according to claim 1, further comprising a food delivery function that suggests appropriate dishes and dining facilities based on the results of emotion analysis. [Explanation of Symbols]

[1797] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. An input method for users to enter what they want to do on their days off, where they want to go, and their stress levels, A receiving means for receiving information entered by the user, A means of obtaining information for acquiring weather information, A plan generation means that generates an optimal travel plan based on information received from the user and acquired weather information, A means for sending the generated travel plan to the user, A system that includes this.

2. The system according to claim 1, further comprising a plan adjustment means for including activities with a relaxing effect in the travel plan according to the user's stress level.

3. The system according to claim 1, further comprising control means for generating a travel plan that includes indoor activities when weather information indicates bad weather.

Images