System

Abstract

A system is provided.SOLUTION: The system includes a means for inputting a place where a user wants to go, what the user wants to do, and a necessary task, a means for acquiring weather information, traffic information, and congestion situation information, a means for generating an optimum time schedule on the basis of the information input by the user and the acquired information, and a means for displaying the generated time schedule to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Today's people have to gather a lot of information when planning their holidays, which can be a burden. Creating an optimal schedule is also difficult, resulting in a lot of wasted time. To solve this problem and enable users to spend their holidays smoothly, a system is needed that can automatically generate an optimal schedule that reflects real-time external information according to the individual needs of the user. [Means for solving the problem]

[0005] This invention is a system including a means for a user to input places they want to go, things they want to do, and necessary tasks, a means for acquiring weather information, traffic information, and congestion information, a means for generating an optimal time schedule based on the information input by the user and the acquired information, and a means for displaying the generated time schedule to the user. Furthermore, the system includes a means for determining the suitability of outdoor activities based on the acquired weather information and notifying the user as appropriate, and a means for setting priorities and efficiently allocating tasks based on the information input by the user. This allows the user to save the trouble of gathering a lot of information and create an optimal plan for a fulfilling holiday.

[0006] "User" refers to an individual or organization that uses this system to plan their holidays.

[0007] A "destination" refers to a particular geographic area or location that a user wishes to visit.

[0008] "Things to do" refers to activities or tasks that a user wants to perform on their days off.

[0009] "Necessary tasks" refer to a series of actions or tasks that a user needs to complete on their day off.

[0010] A "means" refers to a method or device used to achieve a particular purpose.

[0011] "Weather information" refers to data indicating local weather conditions that is necessary when a user makes plans.

[0012] "Traffic information" refers to data that indicates the congestion and operation status of roads and public transportation, which is necessary when users travel.

[0013] "Crowd situation information" refers to data that indicates the current level of congestion at a particular location or facility.

[0014] An "optimal time schedule" refers to a timetable that is adjusted based on the user's input information and acquired external information to enable the user to spend their holidays efficiently and fulfillingly.

[0015] "Real-time external information" refers to the latest data showing current conditions, such as weather, traffic, and congestion.

[0016] "Suitability of outdoor activities" refers to determining whether outdoor activities are appropriate based on current weather information.

[0017] "Priority" refers to the order in which tasks to be executed are arranged in order of importance or urgency based on information input by the user. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10]1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0020] First, the terms used in the following description will be explained.

[0021] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0022] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0023] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0024] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0025] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0029] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0031] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0032] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0036] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0037] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0038] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0039] This invention is a system that includes a means for a user to input places they want to go, things they want to do, and necessary tasks; a means for acquiring weather information, traffic information, and congestion information; a means for generating an optimal time schedule based on the information input by the user and the acquired information; and a means for displaying the generated time schedule to the user.

[0040] System Configuration

[0041] 1. User Device:

[0042] It provides an interface for users to input their holiday plans. It can be used on devices such as smartphones, PCs, and tablets.

[0043] 2. Server:

[0044] A back-end system operates that acquires weather, traffic, and congestion information and generates an optimal time schedule based on user input.

[0045] Program processing and explanation

[0046] User Input

[0047] The user operates the device and inputs the place they want to go, what they want to do, and the tasks they need to complete into the app. For example, the user might register the tasks "Tokyo," "picnic in the park," "shopping," and "dinner with family" in the app. This information is sent to the server.

[0048] Obtaining external information

[0049] The server retrieves the following external information based on the specified location:

[0050] 1. Weather information:

[0051] Weather information for a specified location is obtained through the weather data provider's API. Specifically, this information includes temperature, precipitation, and weather conditions (sunny / rainy / cloudy). This information is used to determine whether or not the user is comfortable engaging in outdoor activities.

[0052] 2. Traffic information:

[0053] Through the API of a traffic data provider, real-time traffic information for the target area is obtained, including road congestion and public transport operation status. This information helps users decide travel time and transportation mode.

[0054] 3. Crowd Information:

[0055] The real-time congestion status of a specified location is obtained through the API of a congestion data provider. This information is used to determine whether a particular location is crowded and adjust schedules accordingly.

[0056] Generating an optimal schedule

[0057] The server integrates the user's input information with the external information it has acquired and generates an optimal time schedule.

[0058] Examples:

[0059] Place the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM)

[0060] Automatically suggest alternative indoor activities if the weather is bad

[0061] Schedule your next task for an appropriate time slot (e.g., "Shopping" from 11:30 AM to 1:00 PM)

[0062] Tasks are arranged sequentially based on congestion and traffic information, taking travel time into consideration.

[0063] Viewing Schedules

[0064] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-understand format. The user can check the schedule and spend their holiday as planned.

[0065] Specific display examples:

[0066] 9:00 - 11:00: Picnic in the park

[0067] Note: Due to poor weather, please consider changing your activities to indoors.

[0068] 11:30 - 13:00: Shopping

[0069] 18:00 - 19:00: Dinner with family

[0070] This system saves users the trouble of gathering a lot of information and allows them to automatically obtain the optimal schedule for a fulfilling holiday.

[0071] The processing flow will be explained below.

[0072] Step 1:

[0073] The user launches the app on their device. The user enters their holiday plans into the app. This information includes places they want to go, things they want to do, and tasks they need to complete.

[0074] Step 2:

[0075] The user terminal transmits the input information to the server, and the server receives the user input data.

[0076] Step 3:

[0077] The server retrieves weather information. It retrieves weather data for the specified location from the weather API. Specifically, it retrieves temperature, precipitation, and weather conditions (sunny / rainy / cloudy).

[0078] Step 4:

[0079] The server obtains traffic information. It obtains real-time traffic conditions in the target area from the traffic API. Specifically, it obtains road congestion status and the operation status of public transportation.

[0080] Step 5:

[0081] The server obtains congestion information. It obtains real-time congestion information for a specified location from the congestion API. This is to determine the degree of congestion at a specific location.

[0082] Step 6:

[0083] The server integrates the information entered by the user with the external information it has acquired, and prepares to generate the entire time schedule.

[0084] Step 7:

[0085] The server places the first task based on the current time, for example, "Picnic in the Park" from 9:00 AM to 11:00 AM.

[0086] Step 8:

[0087] The server determines whether outdoor activities are appropriate based on weather information. For example, if the weather is bad, it automatically suggests alternative indoor activities.

[0088] Step 9:

[0089] The server places the next task at the appropriate time slot, for example, "Shopping" from 11:30 AM to 1:00 PM.

[0090] Step 10:

[0091] The server places tasks sequentially based on congestion and traffic information, taking travel time into consideration.

[0092] Step 11:

[0093] The server generates the final time schedule, ensuring that the schedule is based on user input and real-time external information.

[0094] Step 12:

[0095] The server transmits the generated time schedule to the user terminal.

[0096] Step 13:

[0097] The schedule received by the user terminal is displayed in a visually easy-to-understand format, allowing the user to check the schedule and prepare for a fulfilling holiday.

[0098] Specific schedule example:

[0099] 9:00 - 11:00: Picnic in the park

[0100] Note: Due to poor weather, please consider changing your activities to indoors.

[0101] 11:30 - 13:00: Shopping

[0102] 18:00 - 19:00: Dinner with family

[0103] Example 1

[0104] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0105] In recent years, the diversity and volume of information has increased, and in order for users to spend their holidays fulfillingly and their daily lives efficiently, they need to collect a large amount of external information, such as weather information, traffic information, and congestion information, and create an optimal schedule based on that information. However, this information collection and schedule creation requires time and effort, placing a heavy burden on users. Therefore, there is a need for a system that allows users to easily obtain an efficient and optimal schedule.

[0106] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0107] In this invention, the server includes means for the user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, and means for displaying the generated time schedule to the user. This allows the user to efficiently acquire a lot of information and easily obtain an optimal schedule.

[0108] A "destination" is a particular geographic location that a user wishes to visit.

[0109] "Things to do" are the types of activities or events that a user wants to do at a particular location.

[0110] A "necessary task" refers to a specific task or plan that a user needs to complete.

[0111] "Weather Information" is data about current and forecasted weather conditions in a particular area.

[0112] "Traffic information" is data that indicates the operation status and congestion of roads and public transportation.

[0113] "Congestion information" is data that indicates the current density of people and vehicles in a particular location or area.

[0114] A "time schedule" is a plan that efficiently arranges tasks and activities to be performed within a specified time period.

[0115] The "means for displaying to the user" is an interface having a function for visually presenting the generated time schedule to the user.

[0116] This invention relates to a system that helps users efficiently plan their holiday and daily schedules. This system is built using a user terminal, a server, and APIs of external data providers.

[0117] User terminal

[0118] User terminals are compatible with a variety of devices, including smartphones, PCs, and tablets. An interface is provided for users to input where they want to go, what they want to do, and the tasks they need to complete. Once the user enters this information and presses the "send" button, the information is sent to the server.

[0119] server

[0120] The server is the central part of the system, and runs a back-end system that obtains weather, traffic, and congestion information and generates optimal time schedules.

[0121] Obtaining external information

[0122] The server obtains the following information through various APIs:

[0123] Weather information: Uses the weather data provider's API to obtain weather information (temperature, precipitation, and weather) for a specified location.

[0124] Traffic information: Uses the API of traffic data providers to obtain real-time traffic conditions (road congestion status, public transport operation status).

[0125] Crowd Information: Uses the API of crowd data providers to obtain real-time crowd information for a specified location.

[0126] Generating an optimal schedule

[0127] The server combines the information entered by the user with external information it has acquired to generate an optimal time schedule. For example, if a user registers "Tokyo," "picnic in the park," "shopping," and "dinner with family," the server will create a schedule as follows:

[0128] Picnic in the Park from 9:00 AM to 11:00 AM

[0129] "Shopping" from 11:30 a.m. to 1:00 p.m.

[0130] "Dinner with the Family" from 6:00 PM to 7:00 PM

[0131] In case of bad weather, the server automatically suggests alternative indoor activities, and also sequentially arranges tasks based on congestion and traffic information, taking travel time into account.

[0132] Viewing Schedules

[0133] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-read format. The user can check the schedule and act according to the plan.

[0134] Examples of prompt statements

[0135] "I want to have a picnic in a park in Tokyo. I also want to do some shopping. I'm also planning a dinner with my family. Please generate the best schedule for me."

[0136] This system has the advantage that users can easily obtain the optimal schedule without having to go through the trouble of gathering a lot of information.

[0137] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0138] Step 1: User Input

[0139] Users launch the application using a device such as a smartphone, PC, or tablet. Through the application interface, they input the places they want to go, the things they want to do, and the tasks they need to complete. For example, a user might input information such as "Tokyo," "picnic in the park," "shopping," and "dinner with family." The input information is sent to the server by pressing the "send" button.

[0140] Input: User input of where you want to go, what you want to do, and tasks you need to complete

[0141] Output: User input data sent to the server

[0142] Step 2: Get weather information

[0143] The server uses the weather data provider's API to obtain weather information for the specified location. The obtained data includes temperature, precipitation, and weather conditions (sunny, rainy, cloudy), etc. Based on this information, the server determines whether or not it is appropriate for the user to engage in outdoor activities.

[0144] Input: Specified location (e.g. Tokyo)

[0145] Output: Weather data on temperature, precipitation, and weather

[0146] Step 3: Obtaining traffic information

[0147] The server uses the API of a traffic data provider to obtain real-time traffic information, including road congestion and public transport status, to provide information on travel time and transportation mode selection.

[0148] Input: Specified location (e.g. Tokyo)

[0149] Output: Traffic data on road congestion and public transport operation status

[0150] Step 4: Obtaining congestion information

[0151] The server uses the APIs of congestion data providers to obtain real-time congestion information for specified locations. This information allows the server to determine how busy a particular location is and help adjust schedules.

[0152] Input: Specified location (e.g. Tokyo)

[0153] Output: Real-time congestion data for a specified location

[0154] Step 5: Generate an optimal schedule

[0155] The server combines the information entered by the user with acquired weather, traffic, and congestion information to generate an optimal time schedule. The server places the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM) and suggests alternatives if the weather is bad. It then places the next task in an appropriate time slot (e.g., "Shopping" from 11:30 AM to 1:00 PM), and sequentially places the remaining tasks, taking into account travel time based on congestion and traffic information.

[0156] Input: User input information, weather information, traffic information, congestion information

[0157] Output: Optimized time schedule

[0158] Step 6: View the schedule

[0159] The server sends the generated optimal schedule to the user's terminal. The user's terminal displays this schedule in a visually easy-to-understand format. The user can check the displayed schedule and act accordingly. As an example, the following time schedule may be displayed:

[0160] 9:00 - 11:00: Picnic in the park (Note: Due to bad weather, consider changing the activity to indoors)

[0161] 11:30 - 13:00: Shopping

[0162] 18:00 - 19:00: Dinner with family

[0163] Input: Optimal schedule sent from the server

[0164] Output: Time schedule displayed on the user's terminal

[0165] (Application example 1)

[0166] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0167] In today's world, users need to plan where they want to go and what they want to do while gathering a great deal of information. Furthermore, with the widespread adoption of self-driving vehicles, users are expected to be able to efficiently utilize their time and make plans while traveling. However, there is currently no system that can freely obtain real-time information such as weather, traffic, and congestion, automatically generate an optimal schedule, and then reflect this in self-driving vehicles. In such situations, users find it difficult to schedule appropriate trips and activities, which can cause significant stress. Therefore, there is a need for a system that allows users to travel to their destinations efficiently and comfortably and complete various tasks.

[0168] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0169] In this invention, the server includes means for a user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, means for displaying the generated time schedule to the user, means for reflecting the generated optimal schedule in an autonomously driven vehicle, and means for the autonomously driven vehicle to travel according to the schedule. This allows the user to automatically obtain an optimal schedule based on the weather and congestion, and further, the autonomously driven vehicle travels according to that schedule, enabling efficient and comfortable travel and activity.

[0170] "A means for users to input where they want to go, what they want to do, and the tasks they need to complete" is an interface that allows users to input their desired destinations, actions, and necessary work items using an electronic terminal.

[0171] "Means for obtaining weather, traffic, and congestion information" refers to APIs and communication modules for collecting real-time weather information, traffic conditions, and congestion information at locations from external data providers.

[0172] The "means for generating an optimal time schedule based on the information entered by the user and the acquired information" refers to a back-end system that integrates data entered by the user with acquired real-time information and automatically creates the most appropriate activity schedule using an algorithm.

[0173] The "means for displaying the generated time schedule to the user" is an interface for displaying the generated schedule on the user's terminal in a visually easy-to-understand format.

[0174] The "means for reflecting the generated optimal schedule in the autonomous vehicle" refers to a system that transmits the generated schedule to the autonomous vehicle's system and automatically configures the vehicle's operation based on that schedule.

[0175] "Means for an autonomous vehicle to move according to a schedule" refers to a control system that enables the vehicle to automatically move toward a destination according to a pre-set schedule.

[0176] This invention provides a system that allows users to input where they want to go, what they want to do, and what tasks they need to do, and generates an optimal time schedule based on that input, and then reflects that schedule in an autonomous vehicle.

[0177] Hardware and software used

[0178] 1. Smartphone / Tablet:

[0179] It provides an interface for users to input where they want to go, what they want to do, and the tasks they need to complete. The input information is sent to the server.

[0180] 2. Server:

[0181] Information is obtained from external data providers through APIs for obtaining weather, traffic, and congestion information. Based on the obtained information, an optimal time schedule that reflects the user's preferences is generated. Examples of APIs used include the OpenWeatherMap API (weather information), Google Maps API (traffic information), and APIs that provide real-time congestion information.

[0182] 3. Autonomous vehicle infotainment systems:

[0183] The generated schedule is received and automatic driving is performed based on that schedule.

[0184] Program processing and specific examples

[0185] User Input

[0186] Users operate an application on their smartphone or tablet to input where they want to go, what they want to do, and the tasks they need to complete. For example, they might enter information like "Office at 9:00, lunch at a cafe at 12:00, gym at 17:00." This information is then sent to the server.

[0187] Obtaining external information

[0188] The server obtains real-time weather, traffic, and congestion information for a specified location through external APIs. For example, it uses the OpenWeatherMap API to collect temperature, precipitation probability, and weather information for a specified location, and obtains road congestion and public transportation information using the Google Maps API. It also understands the congestion situation at the destination through an API that provides real-time congestion information.

[0189] Generating an optimal schedule

[0190] The server combines the information entered by the user with the real-time information it obtains and uses AI / ML models to generate an optimal time schedule, such as "travel from home to the office at 9:00, have lunch at a cafe at 12:00, and go to the gym at 17:00."

[0191] Displaying schedules and reflecting them in autonomous vehicles

[0192] The generated optimal schedule is sent from the server to smartphones and tablets, and then to the infotainment system of the autonomous vehicle. It is displayed in a visually easy-to-understand format on the smartphone or tablet, and the autonomous vehicle automatically moves to designated locations based on this schedule.

[0193] Prompt Sentence Examples

[0194] Using the following prompt format, the generative AI model generates the optimal travel schedule for the day and sends it to the autonomous vehicle's infotainment system.

[0195] 1. Current location: Home

[0196] 2. Places you want to go and tasks:

[0197] 09:00: Office

[0198] 12:00: Lunch at a cafe

[0199] 17:00: Gym

[0200] 3. Weather Information: OpenWeatherMap API

[0201] 4. Traffic Information: Google Maps API

[0202] 5. Congestion Information: Real-time Congestion Information API

[0203] In this way, by providing means for specifically implementing the invention, a user can travel to a destination efficiently and comfortably and carry out various activities according to a schedule.

[0204] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0205] Step 1:

[0206] User Input

[0207] Users operate an application on their smartphone or tablet to input the places they want to go, the things they want to do, and the tasks they need to complete. Input data might include, for example, "Office at 9:00," "Lunch at a cafe at 12:00," or "Gym at 17:00." This input data is sent to the server.

[0208] Input: Where you want to go, what you want to do, and tasks you need to complete.

[0209] Output: User input data sent to the server

[0210] Step 2:

[0211] Obtaining external information

[0212] The server obtains real-time data for the specified location using APIs from weather information providers, traffic information providers, and congestion information providers. Specifically, it uses the OpenWeatherMap API (weather information), Google Maps API (traffic information), and real-time congestion information API. This information includes temperature, probability of precipitation, traffic congestion, and congestion status at a specific location.

[0213] Input: The name of each location based on user input data

[0214] Output: Weather, traffic, and congestion information for each location

[0215] Step 3:

[0216] Data integration and optimal schedule generation

[0217] The server combines the user's input data with acquired weather, traffic, and congestion information, and generates an optimal time schedule using an AI / ML model. The generation process takes into account travel time between tasks, weather, and congestion. For example, a schedule might be generated that includes "from home to the office at 9:00," "lunch at a cafe at 12:00," and "go to the gym at 17:00."

[0218] Input: User input data, weather information, traffic information, congestion information

[0219] Output: Optimal time schedule

[0220] Step 4:

[0221] Viewing Schedules

[0222] The server generates an optimal time schedule, which is then sent to the user's smartphone or tablet and displayed in a visually easy-to-understand format, such as a timeline or list.

[0223] Input: Optimal time schedule

[0224] Output: Schedule displayed on the user's terminal

[0225] Step 5:

[0226] Reflecting schedules in autonomous vehicles

[0227] The server sends the generated optimal schedule to the infotainment system of the autonomous vehicle, which then sets a route based on the schedule and controls the vehicle to move automatically.

[0228] Input: Optimal time schedule

[0229] Output: Routing and automatic movement instructions for autonomous vehicles

[0230] Step 6:

[0231] Path execution

[0232] The autonomous vehicle will follow a route set via the infotainment system and will be controlled to reach each destination at the appropriate time.

[0233] Input: Routing provided to the autonomous vehicle

[0234] Output: Autonomous vehicle travels to destination

[0235] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0236] This invention is a system including means for a user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, and means for displaying the generated time schedule to the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it has the function of adjusting the schedule based on emotion data.

[0237] System Configuration

[0238] 1. User Device:

[0239] It provides an interface for users to input their holiday plans. It can be used on devices such as smartphones, PCs, and tablets.

[0240] 2. Server:

[0241] A back-end system operates that acquires weather, traffic, and congestion information, generates an optimal time schedule based on user input, and analyzes emotional data using an emotion engine.

[0242] 3. Emotion Engine:

[0243] This system recognizes the user's emotions and collects and analyzes emotional data in real time. Based on this information, the time schedule is further optimized.

[0244] Program processing and explanation

[0245] User Input

[0246] The user operates the device and inputs the place they want to go, what they want to do, and the tasks they need to complete into the app. For example, the user inputs tasks such as "Tokyo," "picnic in the park," "shopping," and "dinner with family." This information is sent to the server.

[0247] Obtaining external information

[0248] The server retrieves the following external information based on the specified location:

[0249] 1. Weather information:

[0250] Weather information for the specified location is obtained through the weather data provider's API, including temperature, precipitation, and weather conditions (sunny / rainy / cloudy). This information is used to determine whether outdoor activities are appropriate.

[0251] 2. Traffic information:

[0252] Through the API of a traffic data provider, real-time traffic information for a specified area is obtained, including road congestion and public transport status, which can be used to help determine travel times and modes of transportation.

[0253] 3. Crowd Information:

[0254] Get real-time congestion information for a specified location through the API of a congestion data provider. Determine how busy a particular location is and use it to adjust schedules.

[0255] Recognizing and collecting emotion data

[0256] The emotion engine recognizes the user's emotions on the user's device and collects emotional data in real time. Sensors such as cameras and microphones are used to determine emotions from facial expressions and tone of voice. This emotional data is sent to a server and used to adjust schedules.

[0257] Generating an optimal schedule

[0258] The server integrates the user's input information, acquired external information, and emotional data to generate an optimal time schedule.

[0259] Examples:

[0260] Place the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM)

[0261] Automatically suggest alternative indoor activities if the weather is bad

[0262] An emotion engine analyzes the user's emotional state and adjusts the schedule accordingly (e.g., if the user is feeling stressed, it suggests relaxing activities).

[0263] Viewing Schedules

[0264] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-understand format. The user can check the schedule and prepare for a fulfilling holiday.

[0265] Specific schedule example:

[0266] 9:00 - 11:00: Picnic in the park

[0267] Note: Due to poor weather, please consider changing your activities to indoors.

[0268] 11:30 - 13:00: Shopping

[0269] 18:00 - 19:00: Dinner with family

[0270] Additional suggestions based on your emotional state (e.g., relaxing massage, reading time)

[0271] This allows users to save time by collecting a lot of information and enjoy a fulfilling holiday with an optimal schedule that is adjusted according to their emotional state.

[0272] The processing flow will be explained below.

[0273] Step 1:

[0274] The user operates the device and launches the app. The user inputs the place they want to go, what they want to do, and the tasks they need to complete. Specifically, they input information such as "Tokyo," "picnic in the park," "shopping," and "dinner with family."

[0275] Step 2:

[0276] The terminal sends the user's input information to the server, which receives it and stores it for further processing.

[0277] Step 3:

[0278] The server obtains weather information by sending a request to the weather data provider's API to obtain the temperature, precipitation, and weather conditions for the specified location (e.g., Tokyo).

[0279] Step 4:

[0280] The server obtains traffic information by sending a request to the API of a traffic data provider to obtain real-time road congestion and public transport status for the specified location.

[0281] Step 5:

[0282] The server obtains congestion information, using the API of a congestion data provider to obtain the congestion level of a specified location in real time.

[0283] Step 6:

[0284] The user device uses an emotion engine to recognize the user's emotions and collects emotion data in real time. Sensors such as cameras and microphones are used to determine emotions from the user's facial expressions and tone of voice.

[0285] Step 7:

[0286] The device sends the recognized emotion data to a server, which receives the emotion data and stores it for analysis.

[0287] Step 8:

[0288] The server integrates user input, weather, traffic, congestion, and emotion data to generate an optimal time schedule. For example, if a user needs a relaxing activity at 3 p.m., the server will make suggestions appropriate for that time period.

[0289] Step 9:

[0290] The server places the first task based on the current time, for example, "Picnic in the Park" from 9:00 AM to 11:00 AM, and suggests alternative indoor activities if the weather is bad.

[0291] Step 10:

[0292] The server schedules the next task at the appropriate time slot, for example, 11:30 AM to 1:00 PM for "Shopping," adjusting accordingly based on the user's emotional data.

[0293] Step 11:

[0294] The server generates the final time schedule and ensures that the overall schedule is based on user input and real-time external information.

[0295] Step 12:

[0296] The server transmits the generated time schedule to the user terminal.

[0297] Step 13:

[0298] The schedule received by the user terminal is displayed in a visually easy-to-understand format, allowing the user to check the schedule and prepare for a fulfilling holiday.

[0299] Specific schedule example:

[0300] 9:00 - 11:00: Picnic in the park

[0301] Note: Due to poor weather, please consider changing your activities to indoors.

[0302] 11:30 - 13:00: Shopping

[0303] 18:00 - 19:00: Dinner with family

[0304] Additional suggestions based on your emotional state (e.g., relaxing massage, reading time)

[0305] Example 2

[0306] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0307] Conventional schedule generation systems allow users to input where they want to go and what they want to do, and obtain weather and traffic information, but they are unable to generate schedules that take into account the user's emotional state or real-time congestion conditions. Furthermore, there is a need for systems that can effectively process the large amount of information input by users and flexibly adjust schedules based on the user's emotions.

[0308] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0309] In this invention, the server includes means for the user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, means for recognizing the user's emotional data and adjusting the schedule, and means for displaying the generated time schedule to the user. This enables flexible and optimal schedule generation that takes into account the user's emotional state and real-time information.

[0310] "A means for users to input where they want to go, what they want to do, and the tasks they need to do" refers to an interface that allows users to input their desired locations, planned activities, and required tasks.

[0311] "Means for obtaining weather, traffic, and congestion information" refers to APIs and data connection technologies that collect weather, traffic, and congestion information from external information providers.

[0312] "Means for generating an optimal time schedule" refers to an algorithm or program that optimally allocates time and activities based on information input by the user and external information obtained.

[0313] "Means for displaying the generated time schedule to the user" refers to a screen or app function that visually displays the generated schedule on the user's device.

[0314] "Means for recognizing a user's emotional data and adjusting the schedule" refers to an algorithm or program that detects a user's emotional state and dynamically adjusts the schedule based on that data.

[0315] This invention provides an advanced scheduling system that can be used by users in their everyday lives. Its purpose is to input the places a user wants to go, the things they want to do, and the tasks they need to complete, acquire appropriate external information, and generate an optimal time schedule that also takes emotional data into account, and provide it to the user. A detailed description of specific embodiments of this invention follows.

[0316] Hardware and Software Configuration

[0317] User terminal

[0318] It requires a mobile device, such as a smartphone, PC, or tablet, that is operated by the user and provides an interface for the user to enter input.

[0319] server

[0320] The back-end system runs a server that collects weather, traffic, and congestion information and generates an optimal time schedule. The server also analyzes emotion data using an emotion engine. The following specific software and technologies are used:

[0321] Weather information acquisition: OpenWeatherMap API

[0322] Traffic information acquisition: Google Maps API

[0323] Obtaining congestion information: API of specific data provider

[0324] Emotion Engine

[0325] This is a system that recognizes the user's emotions. It uses sensors such as cameras and microphones to collect emotional data from facial expressions and tone of voice in real time, and software runs that sends the data to a server. For example, it uses facial recognition technology and voice analysis technology.

[0326] System Operation

[0327] Example of user input

[0328] The user inputs the travel destination as "Tokyo," the place they want to go to as "picnic in the park," the thing they want to do as "shopping," and the task they need to do as "dinner with family." This operation is performed through a smartphone app.

[0329] Obtaining external information

[0330] The server retrieves weather and traffic information via APIs based on the location information received from the user. For example, it retrieves weather data from the OpenWeatherMap API and traffic data from the Google Maps API.

[0331] Example of emotion data collection

[0332] The emotion engine uses the camera and microphone on the user's device to collect the user's emotional state in real time, determining whether the user is feeling stressed or relaxed, for example, and sends that data to a server.

[0333] Generate a schedule

[0334] The server combines the information entered by the user, external information acquired, and emotional data to generate an optimal time schedule. For example, a schedule might be constructed such as "9:00 - 11:00: Picnic in the park, 11:30 - 13:00: Shopping, 18:00 - 19:00: Dinner with family." If the weather is bad, the server will also suggest changing the "Picnic in the park" to "Activities in the shopping mall."

[0335] Viewing Schedules

[0336] The generated time schedule is sent from the server to the user's device and displayed in a visually easy-to-understand format on the application's user interface, allowing the user to check and adjust their daily schedule.

[0337] Prompt Sentence Examples

[0338] "Please write a description of a system that retrieves weather, traffic, and congestion information based on the places a user wants to go, things they want to do, and tasks they need to complete, and then generates and displays an optimal time schedule based on emotional data."

[0339] In this way, the present invention can provide a more individually optimized time schedule by taking into account the user's emotional state, and can save the user the trouble of collecting a lot of information, allowing them to manage their schedule efficiently and comfortably.

[0340] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0341] Step 1:

[0342] The user operates the device and inputs the places they want to go, the things they want to do, and the tasks they need to complete into a dedicated application. The input data includes locations (e.g., "Tokyo"), activities (e.g., "picnic in the park"), and tasks (e.g., "shopping" or "dinner with family"). The input information is sent from the user device to the server. To input information specifically, the user enters the information into a text box on the smartphone app and clicks the send button.

[0343] input:

[0344] User inputs where to go, what to do, and tasks required

[0345] output:

[0346] User-entered data sent to the server

[0347] Step 2:

[0348] The server receives the user's input data. The received data includes the places the user wants to go, the things they want to do, and the tasks they need to complete. Next, the server obtains external information (weather, traffic, and congestion information) through APIs based on the obtained location. Specifically, it obtains weather information using the OpenWeatherMap API, traffic information using the Google Maps API, and congestion information using the API of a specific data provider. The data obtained from each API is integrated on the server.

[0349] input:

[0350] User-entered data

[0351] output:

[0352] Obtained external information (weather information, traffic information, congestion information)

[0353] Step 3:

[0354] The server receives and analyzes the emotion data. The emotion engine recognizes the user's emotions on the user's device and collects emotion data in real time using a camera and microphone. The collected emotion data (e.g., stress level or degree of joy obtained from facial expressions and tone of voice) is sent from the user's device to the server. The emotion data is analyzed on the server.

[0355] input:

[0356] User emotional data (facial expressions, tone of voice)

[0357] output:

[0358] Analyzed sentiment data

[0359] Step 4:

[0360] The server generates an optimal time schedule based on all the information. Here, it integrates the user's input data, acquired external information, and analyzed emotional data, and uses an algorithm to create the optimal schedule. For example, if the weather is good, it will suggest a "picnic in the park," and if the weather is bad, it will suggest an "activity at the shopping mall." It also adds relaxing activities if the user is feeling stressed. The generated time schedule is saved as data on the server.

[0361] input:

[0362] User input data, external information obtained, and analyzed emotion data

[0363] output:

[0364] Generated optimal time schedule

[0365] Step 5:

[0366] The server sends the generated time schedule to the user's terminal. The server then formats the generated schedule in a visually easy-to-understand format and sends it to the user's terminal in a data format such as JSON or XML.

[0367] input:

[0368] Generated time schedule

[0369] output:

[0370] Time schedule sent to the user terminal

[0371] Step 6:

[0372] The user's device displays the received time schedule. The schedule is visually displayed on the device app and reflected in the interface in a way that is easy for the user to understand. The user can plan their daily life based on the displayed schedule.

[0373] input:

[0374] Time schedule sent from the server

[0375] output:

[0376] Time schedule displayed on the user's device

[0377] (Application example 2)

[0378] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0379] With conventional scheduling systems, even if users input where they want to go and what they want to do, it has been difficult to provide an optimal schedule that takes into account real-time external information (weather, traffic, congestion information) and the user's emotional state at that time. In particular, since general technology has not been able to reflect the user's emotional state in real time, there has been a demand for a system that allows users to travel and complete tasks efficiently without feeling stressed.

[0380] The specific processing 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: means for inputting the places the user wants to go, things they want to do, and necessary tasks; means for acquiring weather information, traffic information, and congestion information; means for generating an optimal time schedule based on the user's input information and the acquired information; means for displaying the generated time schedule to the user; means for recognizing the user's emotional state and collecting emotional data in real time; means for adjusting the schedule based on the emotional data; means for displaying the generated optimal time schedule on a visual device; and navigation means for optimizing the user's travel experience by acquiring external information and recognizing emotional data. This enables the user to obtain an optimal schedule that reflects external information and emotional state that change in real time, allowing them to travel and complete tasks comfortably.

[0381] "A means for users to input where they want to go, what they want to do, and the tasks they need to complete" refers to an interface that allows users to input where they want to go, what they want to do, and the tasks they need to complete through voice input or gesture control using smart glasses or other visual devices.

[0382] "Means for obtaining weather information, traffic information, and congestion information" refers to communication means for obtaining real-time weather, traffic conditions, and congestion information through an external API.

[0383] The "means for generating an optimal time schedule based on the information entered by the user and the information acquired" refers to an algorithm and an implementation device that integrates data entered by the user with real-time information acquired from an external API to generate an efficient and optimal schedule.

[0384] The "means for displaying the generated time schedule to the user" refers to a means for visually presenting the generated schedule to the user through a display of a visual device such as smart glasses.

[0385] "Means for recognizing the user's emotional state and collecting emotional data in real time" refers to technology that uses sensors such as cameras and microphones to analyze the user's emotional state from their facial expressions and voice, and collect data in real time.

[0386] The "means for adjusting the schedule based on the emotional data" refers to an algorithm and an apparatus for implementing the algorithm that dynamically changes the schedule based on the collected emotional data and readjusts it to a schedule that is most suited to the user's emotional state.

[0387] "Means for displaying the generated optimal time schedule on a visual device" refers to a means for visualizing the generated and adjusted optimal schedule to the user using a visual device such as smart glasses or a head-mounted display.

[0388] "Navigation means that optimizes the user's travel experience through the acquisition of external information and the recognition of emotional data" refers to a navigation system that suggests the most efficient and comfortable travel routes and activities to users based on traffic information, weather, congestion information, and even the user's emotional state.

[0389] The system for realizing this invention is composed of a user terminal, a server, an external data provider, and an emotion engine. Details of each component and the operation of the entire system are explained below.

[0390] System Configuration

[0391] User terminal

[0392] Smart glasses and head-mounted displays are used as user terminals. Users use these devices to input where they want to go, what they want to do, and the tasks they need to complete using voice or gestures. These devices also have cameras and microphones, which transmit the user's emotional state to the emotion engine in real time.

[0393] server

[0394] The server is responsible for the back-end system and performs the following main functions:

[0395] Obtaining weather, traffic, and congestion information

[0396] Generate optimal time schedules

[0397] Sentiment Data Analysis

[0398] Adjusting and regenerating schedules

[0399] The server uses a Python program to implement these functions. Specifically, it obtains weather information using the OpenWeather API, traffic information using the Google Maps API, and congestion information using the CrowdSense API. It also analyzes emotional data using Amazon Rekognition and adjusts the schedule according to the user's emotional state.

[0400] Emotion Engine

[0401] The emotion engine analyzes data collected from the user's device's camera and microphone to recognize the user's emotional state. It uses Amazon Rekognition to recognize facial expressions and analyze voice tones. The resulting emotional data is sent to the server and used to adjust the schedule.

[0402] Specific operation example

[0403] 1. User Input

[0404] The user puts on the smart glasses and speaks the words "Tokyo," "picnic in the park," "shopping," and "dinner with family."

[0405] Example prompt: "OK Glass, tell me what's on the agenda for today."

[0406] 2. Acquisition of information

[0407] The server uses the OpenWeather API to obtain weather data for Tokyo, the Google Maps API to obtain traffic information, and the CrowdSense API to obtain congestion information.

[0408] Example prompt: "OK Glass, what's your plan based on today's weather, traffic, and traffic conditions in Tokyo?"

[0409] 3. Collecting Emotional Data

[0410] It recognizes the user's facial expressions and voice and collects emotional data in real time using Amazon Rekognition. If the emotional data is recognized as "stress," the data is sent to the server.

[0411] Example prompt: "OK Glass, how are you feeling right now?"

[0412] 4. Schedule generation and adjustment

[0413] The server generates an optimal time schedule based on the user's input, external information, and emotional data. It suggests indoor activities if the weather is bad, and adds relaxing activities if the user is feeling stressed.

[0414] Example: "9:00 - 11:00: Picnic in the park (Note: Due to bad weather, please consider changing this to an indoor activity)."

[0415] 5. View schedule

[0416] The generated schedule is displayed on the smart glasses display, and the user visually checks the schedule and decides on the next action.

[0417] This allows users to enjoy an optimal schedule based on real-time changing external information and their own emotional state, enabling them to travel and perform tasks efficiently and comfortably.

[0418] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0419] Step 1:

[0420] The user puts on the smart glasses and uses voice or gesture input to input the places they want to go, the things they want to do, and the tasks they need to complete. For example, they might input "Tokyo," "picnic in the park," "shopping," or "dinner with family." The user's device collects this information and sends it to the server.

[0421] Input: Information entered by the user through voice input or gestures.

[0422] Output: Data on where you want to go, what you want to do, and the tasks you need to complete, sent to the server.

[0423] Step 2:

[0424] The server calls external APIs to retrieve weather, traffic, and congestion information based on the specified location, specifically the OpenWeather API, Google Maps API, and CrowdSense API.

[0425] Input: User-specified location information.

[0426] Output: Captured weather, traffic, and congestion data.

[0427] Specific operation: The server sends requests to each API to obtain real-time data. For example, it obtains weather information from the OpenWeather API, traffic information from the Google Maps API, and congestion information from the CrowdSense API.

[0428] Step 3:

[0429] Using the camera and microphone on the user's device, the user's facial expressions and tone of voice are transmitted to the emotion engine in real time to recognize their emotional state. This data is then analyzed using Amazon Rekognition.

[0430] Input: Real-time user facial and voice data collected through camera and microphone.

[0431] Output: Emotion data sent to the server.

[0432] How it works: The user's device uses a camera and microphone to collect facial expressions and tone of voice, then sends the data to an emotion engine (Amazon Rekognition) for analysis. The analysis results are then sent to the server.

[0433] Step 4:

[0434] The server combines information entered by the user, data obtained from external APIs, and emotion data obtained from the emotion engine to generate an optimal time schedule. The schedule is adjusted according to the weather and the user's emotional state.

[0435] Input: User input information, acquired weather, traffic and congestion information, and emotion data.

[0436] Output: Optimal time schedule.

[0437] How it works: The server runs an algorithm that generates an optimal schedule based on weather, traffic, crowding, and emotional data. If the emotional state is recognized as "stress," it adds relaxing activities to the schedule.

[0438] Step 5:

[0439] The optimal time schedule generated by the server is sent back to the user terminal and displayed on the display of the smart glasses.

[0440] Input: The optimal time schedule sent by the server.

[0441] Output: Schedule displayed on smart glasses.

[0442] What it does: The smart glasses display shows the schedule in a visually easy-to-understand format, allowing the user to easily see what to do next.

[0443] Example prompt: "OK Glass, what are your plans based on today's weather, traffic, and traffic conditions in Tokyo? I'm feeling stressed right now, so I'd like some suggestions for relaxing activities."

[0444] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0445] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0446] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0447] [Second embodiment]

[0448] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0449] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0450] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0451] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0452] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0453] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0454] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0455] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0456] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0457] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0458] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0459] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0460] This invention is a system that includes a means for a user to input places they want to go, things they want to do, and necessary tasks; a means for acquiring weather information, traffic information, and congestion information; a means for generating an optimal time schedule based on the information input by the user and the acquired information; and a means for displaying the generated time schedule to the user.

[0461] System Configuration

[0462] 1. User Device:

[0463] It provides an interface for users to input their holiday plans. It can be used on devices such as smartphones, PCs, and tablets.

[0464] 2. Server:

[0465] A back-end system operates that acquires weather, traffic, and congestion information and generates an optimal time schedule based on user input.

[0466] Program processing and explanation

[0467] User Input

[0468] The user operates the device and inputs the place they want to go, what they want to do, and the tasks they need to complete into the app. For example, the user might register the tasks "Tokyo," "picnic in the park," "shopping," and "dinner with family" in the app. This information is sent to the server.

[0469] Obtaining external information

[0470] The server retrieves the following external information based on the specified location:

[0471] 1. Weather information:

[0472] Weather information for a specified location is obtained through the weather data provider's API. Specifically, this information includes temperature, precipitation, and weather conditions (sunny / rainy / cloudy). This information is used to determine whether or not the user is comfortable engaging in outdoor activities.

[0473] 2. Traffic information:

[0474] Through the API of a traffic data provider, real-time traffic information for the target area is obtained, including road congestion and public transport operation status. This information helps users decide travel time and transportation mode.

[0475] 3. Crowd Information:

[0476] The real-time congestion status of a specified location is obtained through the API of a congestion data provider. This information is used to determine whether a particular location is crowded and adjust schedules accordingly.

[0477] Generating an optimal schedule

[0478] The server integrates the user's input information with the external information it has acquired and generates an optimal time schedule.

[0479] Examples:

[0480] Place the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM)

[0481] Automatically suggest alternative indoor activities if the weather is bad

[0482] Schedule your next task for an appropriate time slot (e.g., "Shopping" from 11:30 AM to 1:00 PM)

[0483] Tasks are arranged sequentially based on congestion and traffic information, taking travel time into consideration.

[0484] Viewing Schedules

[0485] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-understand format. The user can check the schedule and spend their holiday as planned.

[0486] Specific display examples:

[0487] 9:00 - 11:00: Picnic in the park

[0488] Note: Due to poor weather, please consider changing your activities to indoors.

[0489] 11:30 - 13:00: Shopping

[0490] 18:00 - 19:00: Dinner with family

[0491] This system saves users the trouble of gathering a lot of information and allows them to automatically obtain the optimal schedule for a fulfilling holiday.

[0492] The processing flow will be explained below.

[0493] Step 1:

[0494] The user launches the app on their device. The user enters their holiday plans into the app. This information includes places they want to go, things they want to do, and tasks they need to complete.

[0495] Step 2:

[0496] The user terminal transmits the input information to the server, and the server receives the user input data.

[0497] Step 3:

[0498] The server retrieves weather information. It retrieves weather data for the specified location from the weather API. Specifically, it retrieves temperature, precipitation, and weather conditions (sunny / rainy / cloudy).

[0499] Step 4:

[0500] The server obtains traffic information. It obtains real-time traffic conditions in the target area from the traffic API. Specifically, it obtains road congestion status and the operation status of public transportation.

[0501] Step 5:

[0502] The server obtains congestion information. It obtains real-time congestion information for a specified location from the congestion API. This is to determine the degree of congestion at a specific location.

[0503] Step 6:

[0504] The server integrates the information entered by the user with the external information it has acquired, and prepares to generate the entire time schedule.

[0505] Step 7:

[0506] The server places the first task based on the current time, for example, "Picnic in the Park" from 9:00 AM to 11:00 AM.

[0507] Step 8:

[0508] The server determines whether outdoor activities are appropriate based on weather information. For example, if the weather is bad, it automatically suggests alternative indoor activities.

[0509] Step 9:

[0510] The server places the next task at the appropriate time slot, for example, "Shopping" from 11:30 AM to 1:00 PM.

[0511] Step 10:

[0512] The server places tasks sequentially based on congestion and traffic information, taking travel time into consideration.

[0513] Step 11:

[0514] The server generates the final time schedule, ensuring that the schedule is based on user input and real-time external information.

[0515] Step 12:

[0516] The server transmits the generated time schedule to the user terminal.

[0517] Step 13:

[0518] The schedule received by the user terminal is displayed in a visually easy-to-understand format, allowing the user to check the schedule and prepare for a fulfilling holiday.

[0519] Specific schedule example:

[0520] 9:00 - 11:00: Picnic in the park

[0521] Note: Due to poor weather, please consider changing your activities to indoors.

[0522] 11:30 - 13:00: Shopping

[0523] 18:00 - 19:00: Dinner with family

[0524] Example 1

[0525] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0526] In recent years, the diversity and volume of information has increased, and in order for users to spend their holidays fulfillingly and their daily lives efficiently, they need to collect a large amount of external information, such as weather information, traffic information, and congestion information, and create an optimal schedule based on that information. However, this information collection and schedule creation requires time and effort, placing a heavy burden on users. Therefore, there is a need for a system that allows users to easily obtain an efficient and optimal schedule.

[0527] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0528] In this invention, the server includes means for the user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, and means for displaying the generated time schedule to the user. This allows the user to efficiently acquire a lot of information and easily obtain an optimal schedule.

[0529] A "destination" is a particular geographic location that a user wishes to visit.

[0530] "Things to do" are the types of activities or events that a user wants to do at a particular location.

[0531] A "necessary task" refers to a specific task or plan that a user needs to complete.

[0532] "Weather Information" is data about current and forecasted weather conditions in a particular area.

[0533] "Traffic information" is data that indicates the operation status and congestion of roads and public transportation.

[0534] "Congestion information" is data that indicates the current density of people and vehicles in a particular location or area.

[0535] A "time schedule" is a plan that efficiently arranges tasks and activities to be performed within a specified time period.

[0536] The "means for displaying to the user" is an interface having a function for visually presenting the generated time schedule to the user.

[0537] This invention relates to a system that helps users efficiently plan their holiday and daily schedules. This system is built using a user terminal, a server, and APIs of external data providers.

[0538] User terminal

[0539] User terminals are compatible with a variety of devices, including smartphones, PCs, and tablets. An interface is provided for users to input where they want to go, what they want to do, and the tasks they need to complete. Once the user enters this information and presses the "send" button, the information is sent to the server.

[0540] server

[0541] The server is the central part of the system, and runs a back-end system that obtains weather, traffic, and congestion information and generates optimal time schedules.

[0542] Obtaining external information

[0543] The server obtains the following information through various APIs:

[0544] Weather information: Uses the weather data provider's API to obtain weather information (temperature, precipitation, and weather) for a specified location.

[0545] Traffic information: Uses the API of traffic data providers to obtain real-time traffic conditions (road congestion status, public transport operation status).

[0546] Crowd Information: Uses the API of crowd data providers to obtain real-time crowd information for a specified location.

[0547] Generating an optimal schedule

[0548] The server combines the information entered by the user with external information it has acquired to generate an optimal time schedule. For example, if a user registers "Tokyo," "picnic in the park," "shopping," and "dinner with family," the server will create a schedule as follows:

[0549] Picnic in the Park from 9:00 AM to 11:00 AM

[0550] "Shopping" from 11:30 a.m. to 1:00 p.m.

[0551] "Dinner with the Family" from 6:00 PM to 7:00 PM

[0552] In case of bad weather, the server automatically suggests alternative indoor activities, and also sequentially arranges tasks based on congestion and traffic information, taking travel time into account.

[0553] Viewing Schedules

[0554] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-read format. The user can check the schedule and act according to the plan.

[0555] Examples of prompt statements

[0556] "I want to have a picnic in a park in Tokyo. I also want to do some shopping. I'm also planning a dinner with my family. Please generate the best schedule for me."

[0557] This system has the advantage that users can easily obtain the optimal schedule without having to go through the trouble of gathering a lot of information.

[0558] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0559] Step 1: User Input

[0560] Users launch the application using a device such as a smartphone, PC, or tablet. Through the application interface, they input the places they want to go, the things they want to do, and the tasks they need to complete. For example, a user might input information such as "Tokyo," "picnic in the park," "shopping," and "dinner with family." The input information is sent to the server by pressing the "send" button.

[0561] Input: User input of where you want to go, what you want to do, and tasks you need to complete

[0562] Output: User input data sent to the server

[0563] Step 2: Get weather information

[0564] The server uses the weather data provider's API to obtain weather information for the specified location. The obtained data includes temperature, precipitation, and weather conditions (sunny, rainy, cloudy), etc. Based on this information, the server determines whether or not it is appropriate for the user to engage in outdoor activities.

[0565] Input: Specified location (e.g. Tokyo)

[0566] Output: Weather data on temperature, precipitation, and weather

[0567] Step 3: Obtaining traffic information

[0568] The server uses the API of a traffic data provider to obtain real-time traffic information, including road congestion and public transport status, to provide information on travel time and transportation mode selection.

[0569] Input: Specified location (e.g. Tokyo)

[0570] Output: Traffic data on road congestion and public transport operation status

[0571] Step 4: Obtaining congestion information

[0572] The server uses the APIs of congestion data providers to obtain real-time congestion information for specified locations. This information allows the server to determine how busy a particular location is and help adjust schedules.

[0573] Input: Specified location (e.g. Tokyo)

[0574] Output: Real-time congestion data for a specified location

[0575] Step 5: Generate an optimal schedule

[0576] The server combines the information entered by the user with acquired weather, traffic, and congestion information to generate an optimal time schedule. The server places the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM) and suggests alternatives if the weather is bad. It then places the next task in an appropriate time slot (e.g., "Shopping" from 11:30 AM to 1:00 PM), and sequentially places the remaining tasks, taking into account travel time based on congestion and traffic information.

[0577] Input: User input information, weather information, traffic information, congestion information

[0578] Output: Optimized time schedule

[0579] Step 6: View the schedule

[0580] The server sends the generated optimal schedule to the user's terminal. The user's terminal displays this schedule in a visually easy-to-understand format. The user can check the displayed schedule and act accordingly. As an example, the following time schedule may be displayed:

[0581] 9:00 - 11:00: Picnic in the park (Note: Due to bad weather, consider changing the activity to indoors)

[0582] 11:30 - 13:00: Shopping

[0583] 18:00 - 19:00: Dinner with family

[0584] Input: Optimal schedule sent from the server

[0585] Output: Time schedule displayed on the user's terminal

[0586] (Application example 1)

[0587] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0588] In today's world, users need to plan where they want to go and what they want to do while gathering a great deal of information. Furthermore, with the widespread adoption of self-driving vehicles, users are expected to be able to efficiently utilize their time and make plans while traveling. However, there is currently no system that can freely obtain real-time information such as weather, traffic, and congestion, automatically generate an optimal schedule, and then reflect this in self-driving vehicles. In such situations, users find it difficult to schedule appropriate trips and activities, which can cause significant stress. Therefore, there is a need for a system that allows users to travel to their destinations efficiently and comfortably and complete various tasks.

[0589] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0590] In this invention, the server includes means for a user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, means for displaying the generated time schedule to the user, means for reflecting the generated optimal schedule in an autonomously driven vehicle, and means for the autonomously driven vehicle to travel according to the schedule. This allows the user to automatically obtain an optimal schedule based on the weather and congestion, and further, the autonomously driven vehicle travels according to that schedule, enabling efficient and comfortable travel and activity.

[0591] "A means for users to input where they want to go, what they want to do, and the tasks they need to complete" is an interface that allows users to input their desired destinations, actions, and necessary work items using an electronic terminal.

[0592] "Means for obtaining weather, traffic, and congestion information" refers to APIs and communication modules for collecting real-time weather information, traffic conditions, and congestion information at locations from external data providers.

[0593] The "means for generating an optimal time schedule based on the information entered by the user and the acquired information" refers to a back-end system that integrates data entered by the user with acquired real-time information and automatically creates the most appropriate activity schedule using an algorithm.

[0594] The "means for displaying the generated time schedule to the user" is an interface for displaying the generated schedule on the user's terminal in a visually easy-to-understand format.

[0595] The "means for reflecting the generated optimal schedule in the autonomous vehicle" refers to a system that transmits the generated schedule to the autonomous vehicle's system and automatically configures the vehicle's operation based on that schedule.

[0596] "Means for an autonomous vehicle to move according to a schedule" refers to a control system that enables the vehicle to automatically move toward a destination according to a pre-set schedule.

[0597] This invention provides a system that allows users to input where they want to go, what they want to do, and what tasks they need to do, and generates an optimal time schedule based on that input, and then reflects that schedule in an autonomous vehicle.

[0598] Hardware and software used

[0599] 1. Smartphone / Tablet:

[0600] It provides an interface for users to input where they want to go, what they want to do, and the tasks they need to complete. The input information is sent to the server.

[0601] 2. Server:

[0602] Information is obtained from external data providers through APIs for obtaining weather, traffic, and congestion information. Based on the obtained information, an optimal time schedule that reflects the user's preferences is generated. Examples of APIs used include the OpenWeatherMap API (weather information), Google Maps API (traffic information), and APIs that provide real-time congestion information.

[0603] 3. Autonomous vehicle infotainment systems:

[0604] The generated schedule is received and automatic driving is performed based on that schedule.

[0605] Program processing and specific examples

[0606] User Input

[0607] Users operate an application on their smartphone or tablet to input where they want to go, what they want to do, and the tasks they need to complete. For example, they might enter information like "Office at 9:00, lunch at a cafe at 12:00, gym at 17:00." This information is then sent to the server.

[0608] Obtaining external information

[0609] The server obtains real-time weather, traffic, and congestion information for a specified location through external APIs. For example, it uses the OpenWeatherMap API to collect temperature, precipitation probability, and weather information for a specified location, and obtains road congestion and public transportation information using the Google Maps API. It also understands the congestion situation at the destination through an API that provides real-time congestion information.

[0610] Generating an optimal schedule

[0611] The server combines the information entered by the user with the real-time information it obtains and uses AI / ML models to generate an optimal time schedule, such as "travel from home to the office at 9:00, have lunch at a cafe at 12:00, and go to the gym at 17:00."

[0612] Displaying schedules and reflecting them in autonomous vehicles

[0613] The generated optimal schedule is sent from the server to smartphones and tablets, and then to the infotainment system of the autonomous vehicle. It is displayed in a visually easy-to-understand format on the smartphone or tablet, and the autonomous vehicle automatically moves to designated locations based on this schedule.

[0614] Prompt Sentence Examples

[0615] Using the following prompt format, the generative AI model generates the optimal travel schedule for the day and sends it to the autonomous vehicle's infotainment system.

[0616] 1. Current location: Home

[0617] 2. Places you want to go and tasks:

[0618] 09:00: Office

[0619] 12:00: Lunch at a cafe

[0620] 17:00: Gym

[0621] 3. Weather Information: OpenWeatherMap API

[0622] 4. Traffic Information: Google Maps API

[0623] 5. Congestion Information: Real-time Congestion Information API

[0624] In this way, by providing means for specifically implementing the invention, a user can travel to a destination efficiently and comfortably and carry out various activities according to a schedule.

[0625] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0626] Step 1:

[0627] User Input

[0628] Users operate an application on their smartphone or tablet to input the places they want to go, the things they want to do, and the tasks they need to complete. Input data might include, for example, "Office at 9:00," "Lunch at a cafe at 12:00," or "Gym at 17:00." This input data is sent to the server.

[0629] Input: Where you want to go, what you want to do, and tasks you need to complete.

[0630] Output: User input data sent to the server

[0631] Step 2:

[0632] Obtaining external information

[0633] The server obtains real-time data for the specified location using APIs from weather information providers, traffic information providers, and congestion information providers. Specifically, it uses the OpenWeatherMap API (weather information), Google Maps API (traffic information), and real-time congestion information API. This information includes temperature, probability of precipitation, traffic congestion, and congestion status at a specific location.

[0634] Input: The name of each location based on user input data

[0635] Output: Weather, traffic, and congestion information for each location

[0636] Step 3:

[0637] Data integration and optimal schedule generation

[0638] The server combines the user's input data with acquired weather, traffic, and congestion information, and generates an optimal time schedule using an AI / ML model. The generation process takes into account travel time between tasks, weather, and congestion. For example, a schedule might be generated that includes "from home to the office at 9:00," "lunch at a cafe at 12:00," and "go to the gym at 17:00."

[0639] Input: User input data, weather information, traffic information, congestion information

[0640] Output: Optimal time schedule

[0641] Step 4:

[0642] Viewing Schedules

[0643] The server generates an optimal time schedule, which is then sent to the user's smartphone or tablet and displayed in a visually easy-to-understand format, such as a timeline or list.

[0644] Input: Optimal time schedule

[0645] Output: Schedule displayed on the user's terminal

[0646] Step 5:

[0647] Reflecting schedules in autonomous vehicles

[0648] The server sends the generated optimal schedule to the infotainment system of the autonomous vehicle, which then sets a route based on the schedule and controls the vehicle to move automatically.

[0649] Input: Optimal time schedule

[0650] Output: Routing and automatic movement instructions for autonomous vehicles

[0651] Step 6:

[0652] Path execution

[0653] The autonomous vehicle will follow a route set via the infotainment system and will be controlled to reach each destination at the appropriate time.

[0654] Input: Routing provided to the autonomous vehicle

[0655] Output: Autonomous vehicle travels to destination

[0656] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0657] This invention is a system including means for a user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, and means for displaying the generated time schedule to the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it has the function of adjusting the schedule based on emotion data.

[0658] System Configuration

[0659] 1. User Device:

[0660] It provides an interface for users to input their holiday plans. It can be used on devices such as smartphones, PCs, and tablets.

[0661] 2. Server:

[0662] A back-end system operates that acquires weather, traffic, and congestion information, generates an optimal time schedule based on user input, and analyzes emotional data using an emotion engine.

[0663] 3. Emotion Engine:

[0664] This system recognizes the user's emotions and collects and analyzes emotional data in real time. Based on this information, the time schedule is further optimized.

[0665] Program processing and explanation

[0666] User Input

[0667] The user operates the device and inputs the place they want to go, what they want to do, and the tasks they need to complete into the app. For example, the user inputs tasks such as "Tokyo," "picnic in the park," "shopping," and "dinner with family." This information is sent to the server.

[0668] Obtaining external information

[0669] The server retrieves the following external information based on the specified location:

[0670] 1. Weather information:

[0671] Weather information for the specified location is obtained through the weather data provider's API, including temperature, precipitation, and weather conditions (sunny / rainy / cloudy). This information is used to determine whether outdoor activities are appropriate.

[0672] 2. Traffic information:

[0673] Through the API of a traffic data provider, real-time traffic information for a specified area is obtained, including road congestion and public transport status, which can be used to help determine travel times and modes of transportation.

[0674] 3. Crowd Information:

[0675] Get real-time congestion information for a specified location through the API of a congestion data provider. Determine how busy a particular location is and use it to adjust schedules.

[0676] Recognizing and collecting emotion data

[0677] The emotion engine recognizes the user's emotions on the user's device and collects emotional data in real time. Sensors such as cameras and microphones are used to determine emotions from facial expressions and tone of voice. This emotional data is sent to a server and used to adjust schedules.

[0678] Generating an optimal schedule

[0679] The server integrates the user's input information, acquired external information, and emotional data to generate an optimal time schedule.

[0680] Examples:

[0681] Place the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM)

[0682] Automatically suggest alternative indoor activities if the weather is bad

[0683] An emotion engine analyzes the user's emotional state and adjusts the schedule accordingly (e.g., if the user is feeling stressed, it suggests relaxing activities).

[0684] Viewing Schedules

[0685] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-understand format. The user can check the schedule and prepare for a fulfilling holiday.

[0686] Specific schedule example:

[0687] 9:00 - 11:00: Picnic in the park

[0688] Note: Due to poor weather, please consider changing your activities to indoors.

[0689] 11:30 - 13:00: Shopping

[0690] 18:00 - 19:00: Dinner with family

[0691] Additional suggestions based on your emotional state (e.g., relaxing massage, reading time)

[0692] This allows users to save time by collecting a lot of information and enjoy a fulfilling holiday with an optimal schedule that is adjusted according to their emotional state.

[0693] The processing flow will be explained below.

[0694] Step 1:

[0695] The user operates the device and launches the app. The user inputs the place they want to go, what they want to do, and the tasks they need to complete. Specifically, they input information such as "Tokyo," "picnic in the park," "shopping," and "dinner with family."

[0696] Step 2:

[0697] The terminal sends the user's input information to the server, which receives it and stores it for further processing.

[0698] Step 3:

[0699] The server obtains weather information by sending a request to the weather data provider's API to obtain the temperature, precipitation, and weather conditions for the specified location (e.g., Tokyo).

[0700] Step 4:

[0701] The server obtains traffic information by sending a request to the API of a traffic data provider to obtain real-time road congestion and public transport status for the specified location.

[0702] Step 5:

[0703] The server obtains congestion information, using the API of a congestion data provider to obtain the congestion level of a specified location in real time.

[0704] Step 6:

[0705] The user device uses an emotion engine to recognize the user's emotions and collects emotion data in real time. Sensors such as cameras and microphones are used to determine emotions from the user's facial expressions and tone of voice.

[0706] Step 7:

[0707] The device sends the recognized emotion data to a server, which receives the emotion data and stores it for analysis.

[0708] Step 8:

[0709] The server integrates user input, weather, traffic, congestion, and emotion data to generate an optimal time schedule. For example, if a user needs a relaxing activity at 3 p.m., the server will make suggestions appropriate for that time period.

[0710] Step 9:

[0711] The server places the first task based on the current time, for example, "Picnic in the Park" from 9:00 AM to 11:00 AM, and suggests alternative indoor activities if the weather is bad.

[0712] Step 10:

[0713] The server schedules the next task at the appropriate time slot, for example, 11:30 AM to 1:00 PM for "Shopping," adjusting accordingly based on the user's emotional data.

[0714] Step 11:

[0715] The server generates the final time schedule and ensures that the overall schedule is based on user input and real-time external information.

[0716] Step 12:

[0717] The server transmits the generated time schedule to the user terminal.

[0718] Step 13:

[0719] The schedule received by the user terminal is displayed in a visually easy-to-understand format, allowing the user to check the schedule and prepare for a fulfilling holiday.

[0720] Specific schedule example:

[0721] 9:00 - 11:00: Picnic in the park

[0722] Note: Due to poor weather, please consider changing your activities to indoors.

[0723] 11:30 - 13:00: Shopping

[0724] 18:00 - 19:00: Dinner with family

[0725] Additional suggestions based on your emotional state (e.g., relaxing massage, reading time)

[0726] Example 2

[0727] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0728] Conventional schedule generation systems allow users to input where they want to go and what they want to do, and obtain weather and traffic information, but they are unable to generate schedules that take into account the user's emotional state or real-time congestion conditions. Furthermore, there is a need for systems that can effectively process the large amount of information input by users and flexibly adjust schedules based on the user's emotions.

[0729] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0730] In this invention, the server includes means for the user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, means for recognizing the user's emotional data and adjusting the schedule, and means for displaying the generated time schedule to the user. This enables flexible and optimal schedule generation that takes into account the user's emotional state and real-time information.

[0731] "A means for users to input where they want to go, what they want to do, and the tasks they need to do" refers to an interface that allows users to input their desired locations, planned activities, and required tasks.

[0732] "Means for obtaining weather, traffic, and congestion information" refers to APIs and data connection technologies that collect weather, traffic, and congestion information from external information providers.

[0733] "Means for generating an optimal time schedule" refers to an algorithm or program that optimally allocates time and activities based on information input by the user and external information obtained.

[0734] "Means for displaying the generated time schedule to the user" refers to a screen or app function that visually displays the generated schedule on the user's device.

[0735] "Means for recognizing a user's emotional data and adjusting the schedule" refers to an algorithm or program that detects a user's emotional state and dynamically adjusts the schedule based on that data.

[0736] This invention provides an advanced scheduling system that can be used by users in their everyday lives. Its purpose is to input the places a user wants to go, the things they want to do, and the tasks they need to complete, acquire appropriate external information, and generate an optimal time schedule that also takes emotional data into account, and provide it to the user. A detailed description of specific embodiments of this invention follows.

[0737] Hardware and Software Configuration

[0738] User terminal

[0739] It requires a mobile device, such as a smartphone, PC, or tablet, that is operated by the user and provides an interface for the user to enter input.

[0740] server

[0741] The back-end system runs a server that collects weather, traffic, and congestion information and generates an optimal time schedule. The server also analyzes emotion data using an emotion engine. The following specific software and technologies are used:

[0742] Weather information acquisition: OpenWeatherMap API

[0743] Traffic information acquisition: Google Maps API

[0744] Obtaining congestion information: API of specific data provider

[0745] Emotion Engine

[0746] This is a system that recognizes the user's emotions. It uses sensors such as cameras and microphones to collect emotional data from facial expressions and tone of voice in real time, and software runs that sends the data to a server. For example, it uses facial recognition technology and voice analysis technology.

[0747] System Operation

[0748] Example of user input

[0749] The user inputs the travel destination as "Tokyo," the place they want to go to as "picnic in the park," the thing they want to do as "shopping," and the task they need to do as "dinner with family." This operation is performed through a smartphone app.

[0750] Obtaining external information

[0751] The server retrieves weather and traffic information via APIs based on the location information received from the user. For example, it retrieves weather data from the OpenWeatherMap API and traffic data from the Google Maps API.

[0752] Example of emotion data collection

[0753] The emotion engine uses the camera and microphone on the user's device to collect the user's emotional state in real time, determining whether the user is feeling stressed or relaxed, for example, and sends that data to a server.

[0754] Generate a schedule

[0755] The server combines the information entered by the user, external information acquired, and emotional data to generate an optimal time schedule. For example, a schedule might be constructed such as "9:00 - 11:00: Picnic in the park, 11:30 - 13:00: Shopping, 18:00 - 19:00: Dinner with family." If the weather is bad, the server will also suggest changing the "Picnic in the park" to "Activities in the shopping mall."

[0756] Viewing Schedules

[0757] The generated time schedule is sent from the server to the user's device and displayed in a visually easy-to-understand format on the application's user interface, allowing the user to check and adjust their daily schedule.

[0758] Prompt Sentence Examples

[0759] "Please write a description of a system that retrieves weather, traffic, and congestion information based on the places a user wants to go, things they want to do, and tasks they need to complete, and then generates and displays an optimal time schedule based on emotional data."

[0760] In this way, the present invention can provide a more individually optimized time schedule by taking into account the user's emotional state, and can save the user the trouble of collecting a lot of information, allowing them to manage their schedule efficiently and comfortably.

[0761] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0762] Step 1:

[0763] The user operates the device and inputs the places they want to go, the things they want to do, and the tasks they need to complete into a dedicated application. The input data includes locations (e.g., "Tokyo"), activities (e.g., "picnic in the park"), and tasks (e.g., "shopping" or "dinner with family"). The input information is sent from the user device to the server. To input information specifically, the user enters the information into a text box on the smartphone app and clicks the send button.

[0764] input:

[0765] User inputs where to go, what to do, and tasks required

[0766] output:

[0767] User-entered data sent to the server

[0768] Step 2:

[0769] The server receives the user's input data. The received data includes the places the user wants to go, the things they want to do, and the tasks they need to complete. Next, the server obtains external information (weather, traffic, and congestion information) through APIs based on the obtained location. Specifically, it obtains weather information using the OpenWeatherMap API, traffic information using the Google Maps API, and congestion information using the API of a specific data provider. The data obtained from each API is integrated on the server.

[0770] input:

[0771] User-entered data

[0772] output:

[0773] Obtained external information (weather information, traffic information, congestion information)

[0774] Step 3:

[0775] The server receives and analyzes the emotion data. The emotion engine recognizes the user's emotions on the user's device and collects emotion data in real time using a camera and microphone. The collected emotion data (e.g., stress level or degree of joy obtained from facial expressions and tone of voice) is sent from the user's device to the server. The emotion data is analyzed on the server.

[0776] input:

[0777] User emotional data (facial expressions, tone of voice)

[0778] output:

[0779] Analyzed sentiment data

[0780] Step 4:

[0781] The server generates an optimal time schedule based on all the information. Here, it integrates the user's input data, acquired external information, and analyzed emotional data, and uses an algorithm to create the optimal schedule. For example, if the weather is good, it will suggest a "picnic in the park," and if the weather is bad, it will suggest an "activity at the shopping mall." It also adds relaxing activities if the user is feeling stressed. The generated time schedule is saved as data on the server.

[0782] input:

[0783] User input data, external information obtained, and analyzed emotion data

[0784] output:

[0785] Generated optimal time schedule

[0786] Step 5:

[0787] The server sends the generated time schedule to the user's terminal. The server then formats the generated schedule in a visually easy-to-understand format and sends it to the user's terminal in a data format such as JSON or XML.

[0788] input:

[0789] Generated time schedule

[0790] output:

[0791] Time schedule sent to the user terminal

[0792] Step 6:

[0793] The user's device displays the received time schedule. The schedule is visually displayed on the device app and reflected in the interface in a way that is easy for the user to understand. The user can plan their daily life based on the displayed schedule.

[0794] input:

[0795] Time schedule sent from the server

[0796] output:

[0797] Time schedule displayed on the user's device

[0798] (Application example 2)

[0799] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0800] With conventional scheduling systems, even if users input where they want to go and what they want to do, it has been difficult to provide an optimal schedule that takes into account real-time external information (weather, traffic, congestion information) and the user's emotional state at that time. In particular, since general technology has not been able to reflect the user's emotional state in real time, there has been a demand for a system that allows users to travel and complete tasks efficiently without feeling stressed.

[0801] The specific processing 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: means for inputting the places the user wants to go, things they want to do, and necessary tasks; means for acquiring weather information, traffic information, and congestion information; means for generating an optimal time schedule based on the user's input information and the acquired information; means for displaying the generated time schedule to the user; means for recognizing the user's emotional state and collecting emotional data in real time; means for adjusting the schedule based on the emotional data; means for displaying the generated optimal time schedule on a visual device; and navigation means for optimizing the user's travel experience by acquiring external information and recognizing emotional data. This enables the user to obtain an optimal schedule that reflects external information and emotional state that change in real time, allowing them to travel and complete tasks comfortably.

[0802] "A means for users to input where they want to go, what they want to do, and the tasks they need to complete" refers to an interface that allows users to input where they want to go, what they want to do, and the tasks they need to complete through voice input or gesture control using smart glasses or other visual devices.

[0803] "Means for obtaining weather information, traffic information, and congestion information" refers to communication means for obtaining real-time weather, traffic conditions, and congestion information through an external API.

[0804] The "means for generating an optimal time schedule based on the information entered by the user and the information acquired" refers to an algorithm and an implementation device that integrates data entered by the user with real-time information acquired from an external API to generate an efficient and optimal schedule.

[0805] The "means for displaying the generated time schedule to the user" refers to a means for visually presenting the generated schedule to the user through a display of a visual device such as smart glasses.

[0806] "Means for recognizing the user's emotional state and collecting emotional data in real time" refers to technology that uses sensors such as cameras and microphones to analyze the user's emotional state from their facial expressions and voice, and collect data in real time.

[0807] The "means for adjusting the schedule based on the emotional data" refers to an algorithm and an apparatus for implementing the algorithm that dynamically changes the schedule based on the collected emotional data and readjusts it to a schedule that is most suited to the user's emotional state.

[0808] "Means for displaying the generated optimal time schedule on a visual device" refers to a means for visualizing the generated and adjusted optimal schedule to the user using a visual device such as smart glasses or a head-mounted display.

[0809] "Navigation means that optimizes the user's travel experience through the acquisition of external information and the recognition of emotional data" refers to a navigation system that suggests the most efficient and comfortable travel routes and activities to users based on traffic information, weather, congestion information, and even the user's emotional state.

[0810] The system for realizing this invention is composed of a user terminal, a server, an external data provider, and an emotion engine. Details of each component and the operation of the entire system are explained below.

[0811] System Configuration

[0812] User terminal

[0813] Smart glasses and head-mounted displays are used as user terminals. Users use these devices to input where they want to go, what they want to do, and the tasks they need to complete using voice or gestures. These devices also have cameras and microphones, which transmit the user's emotional state to the emotion engine in real time.

[0814] server

[0815] The server is responsible for the back-end system and performs the following main functions:

[0816] Obtaining weather, traffic, and congestion information

[0817] Generate optimal time schedules

[0818] Sentiment Data Analysis

[0819] Adjusting and regenerating schedules

[0820] The server uses a Python program to implement these functions. Specifically, it obtains weather information using the OpenWeather API, traffic information using the Google Maps API, and congestion information using the CrowdSense API. It also analyzes emotional data using Amazon Rekognition and adjusts the schedule according to the user's emotional state.

[0821] Emotion Engine

[0822] The emotion engine analyzes data collected from the user's device's camera and microphone to recognize the user's emotional state. It uses Amazon Rekognition to recognize facial expressions and analyze voice tones. The resulting emotional data is sent to the server and used to adjust the schedule.

[0823] Specific operation example

[0824] 1. User Input

[0825] The user puts on the smart glasses and speaks the words "Tokyo," "picnic in the park," "shopping," and "dinner with family."

[0826] Example prompt: "OK Glass, tell me what's on the agenda for today."

[0827] 2. Acquisition of information

[0828] The server uses the OpenWeather API to obtain weather data for Tokyo, the Google Maps API to obtain traffic information, and the CrowdSense API to obtain congestion information.

[0829] Example prompt: "OK Glass, what's your plan based on today's weather, traffic, and traffic conditions in Tokyo?"

[0830] 3. Collecting Emotional Data

[0831] It recognizes the user's facial expressions and voice and collects emotional data in real time using Amazon Rekognition. If the emotional data is recognized as "stress," the data is sent to the server.

[0832] Example prompt: "OK Glass, how are you feeling right now?"

[0833] 4. Schedule generation and adjustment

[0834] The server generates an optimal time schedule based on the user's input, external information, and emotional data. It suggests indoor activities if the weather is bad, and adds relaxing activities if the user is feeling stressed.

[0835] Example: "9:00 - 11:00: Picnic in the park (Note: Due to bad weather, please consider changing this to an indoor activity)."

[0836] 5. View schedule

[0837] The generated schedule is displayed on the smart glasses display, and the user visually checks the schedule and decides on the next action.

[0838] This allows users to enjoy an optimal schedule based on real-time changing external information and their own emotional state, enabling them to travel and perform tasks efficiently and comfortably.

[0839] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0840] Step 1:

[0841] The user puts on the smart glasses and uses voice or gesture input to input the places they want to go, the things they want to do, and the tasks they need to complete. For example, they might input "Tokyo," "picnic in the park," "shopping," or "dinner with family." The user's device collects this information and sends it to the server.

[0842] Input: Information entered by the user through voice input or gestures.

[0843] Output: Data on where you want to go, what you want to do, and the tasks you need to complete, sent to the server.

[0844] Step 2:

[0845] The server calls external APIs to retrieve weather, traffic, and congestion information based on the specified location, specifically the OpenWeather API, Google Maps API, and CrowdSense API.

[0846] Input: User-specified location information.

[0847] Output: Captured weather, traffic, and congestion data.

[0848] Specific operation: The server sends requests to each API to obtain real-time data. For example, it obtains weather information from the OpenWeather API, traffic information from the Google Maps API, and congestion information from the CrowdSense API.

[0849] Step 3:

[0850] Using the camera and microphone on the user's device, the user's facial expressions and tone of voice are transmitted to the emotion engine in real time to recognize their emotional state. This data is then analyzed using Amazon Rekognition.

[0851] Input: Real-time user facial and voice data collected through camera and microphone.

[0852] Output: Emotion data sent to the server.

[0853] How it works: The user's device uses a camera and microphone to collect facial expressions and tone of voice, then sends the data to an emotion engine (Amazon Rekognition) for analysis. The analysis results are then sent to the server.

[0854] Step 4:

[0855] The server combines information entered by the user, data obtained from external APIs, and emotion data obtained from the emotion engine to generate an optimal time schedule. The schedule is adjusted according to the weather and the user's emotional state.

[0856] Input: User input information, acquired weather, traffic and congestion information, and emotion data.

[0857] Output: Optimal time schedule.

[0858] How it works: The server runs an algorithm that generates an optimal schedule based on weather, traffic, crowding, and emotional data. If the emotional state is recognized as "stress," it adds relaxing activities to the schedule.

[0859] Step 5:

[0860] The optimal time schedule generated by the server is sent back to the user terminal and displayed on the display of the smart glasses.

[0861] Input: The optimal time schedule sent by the server.

[0862] Output: Schedule displayed on smart glasses.

[0863] What it does: The smart glasses display shows the schedule in a visually easy-to-understand format, allowing the user to easily see what to do next.

[0864] Example prompt: "OK Glass, what are your plans based on today's weather, traffic, and traffic conditions in Tokyo? I'm feeling stressed right now, so I'd like some suggestions for relaxing activities."

[0865] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0866] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0867] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0868] [Third embodiment]

[0869] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0870] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0871] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0872] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0873] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0874] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0875] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0876] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0877] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0878] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0879] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0880] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0881] This invention is a system that includes a means for a user to input places they want to go, things they want to do, and necessary tasks; a means for acquiring weather information, traffic information, and congestion information; a means for generating an optimal time schedule based on the information input by the user and the acquired information; and a means for displaying the generated time schedule to the user.

[0882] System Configuration

[0883] 1. User Device:

[0884] It provides an interface for users to input their holiday plans. It can be used on devices such as smartphones, PCs, and tablets.

[0885] 2. Server:

[0886] A back-end system operates that acquires weather, traffic, and congestion information and generates an optimal time schedule based on user input.

[0887] Program processing and explanation

[0888] User Input

[0889] The user operates the device and inputs the place they want to go, what they want to do, and the tasks they need to complete into the app. For example, the user might register the tasks "Tokyo," "picnic in the park," "shopping," and "dinner with family" in the app. This information is sent to the server.

[0890] Obtaining external information

[0891] The server retrieves the following external information based on the specified location:

[0892] 1. Weather information:

[0893] Weather information for a specified location is obtained through the weather data provider's API. Specifically, this information includes temperature, precipitation, and weather conditions (sunny / rainy / cloudy). This information is used to determine whether or not the user is comfortable engaging in outdoor activities.

[0894] 2. Traffic information:

[0895] Through the API of a traffic data provider, real-time traffic information for the target area is obtained, including road congestion and public transport operation status. This information helps users decide travel time and transportation mode.

[0896] 3. Crowd Information:

[0897] The real-time congestion status of a specified location is obtained through the API of a congestion data provider. This information is used to determine whether a particular location is crowded and adjust schedules accordingly.

[0898] Generating an optimal schedule

[0899] The server integrates the user's input information with the external information it has acquired and generates an optimal time schedule.

[0900] Examples:

[0901] Place the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM)

[0902] Automatically suggest alternative indoor activities if the weather is bad

[0903] Schedule your next task for an appropriate time slot (e.g., "Shopping" from 11:30 AM to 1:00 PM)

[0904] Tasks are arranged sequentially based on congestion and traffic information, taking travel time into consideration.

[0905] Viewing Schedules

[0906] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-understand format. The user can check the schedule and spend their holiday as planned.

[0907] Specific display examples:

[0908] 9:00 - 11:00: Picnic in the park

[0909] Note: Due to poor weather, please consider changing your activities to indoors.

[0910] 11:30 - 13:00: Shopping

[0911] 18:00 - 19:00: Dinner with family

[0912] This system saves users the trouble of gathering a lot of information and allows them to automatically obtain the optimal schedule for a fulfilling holiday.

[0913] The processing flow will be explained below.

[0914] Step 1:

[0915] The user launches the app on their device. The user enters their holiday plans into the app. This information includes places they want to go, things they want to do, and tasks they need to complete.

[0916] Step 2:

[0917] The user terminal transmits the input information to the server, and the server receives the user input data.

[0918] Step 3:

[0919] The server retrieves weather information. It retrieves weather data for the specified location from the weather API. Specifically, it retrieves temperature, precipitation, and weather conditions (sunny / rainy / cloudy).

[0920] Step 4:

[0921] The server obtains traffic information. It obtains real-time traffic conditions in the target area from the traffic API. Specifically, it obtains road congestion status and the operation status of public transportation.

[0922] Step 5:

[0923] The server obtains congestion information. It obtains real-time congestion information for a specified location from the congestion API. This is to determine the degree of congestion at a specific location.

[0924] Step 6:

[0925] The server integrates the information entered by the user with the external information it has acquired, and prepares to generate the entire time schedule.

[0926] Step 7:

[0927] The server places the first task based on the current time, for example, "Picnic in the Park" from 9:00 AM to 11:00 AM.

[0928] Step 8:

[0929] The server determines whether outdoor activities are appropriate based on weather information. For example, if the weather is bad, it automatically suggests alternative indoor activities.

[0930] Step 9:

[0931] The server places the next task at the appropriate time slot, for example, "Shopping" from 11:30 AM to 1:00 PM.

[0932] Step 10:

[0933] The server places tasks sequentially based on congestion and traffic information, taking travel time into consideration.

[0934] Step 11:

[0935] The server generates the final time schedule, ensuring that the schedule is based on user input and real-time external information.

[0936] Step 12:

[0937] The server transmits the generated time schedule to the user terminal.

[0938] Step 13:

[0939] The schedule received by the user terminal is displayed in a visually easy-to-understand format, allowing the user to check the schedule and prepare for a fulfilling holiday.

[0940] Specific schedule example:

[0941] 9:00 - 11:00: Picnic in the park

[0942] Note: Due to poor weather, please consider changing your activities to indoors.

[0943] 11:30 - 13:00: Shopping

[0944] 18:00 - 19:00: Dinner with family

[0945] Example 1

[0946] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0947] In recent years, the diversity and volume of information has increased, and in order for users to spend their holidays fulfillingly and their daily lives efficiently, they need to collect a large amount of external information, such as weather information, traffic information, and congestion information, and create an optimal schedule based on that information. However, this information collection and schedule creation requires time and effort, placing a heavy burden on users. Therefore, there is a need for a system that allows users to easily obtain an efficient and optimal schedule.

[0948] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0949] In this invention, the server includes means for the user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, and means for displaying the generated time schedule to the user. This allows the user to efficiently acquire a lot of information and easily obtain an optimal schedule.

[0950] A "destination" is a particular geographic location that a user wishes to visit.

[0951] "Things to do" are the types of activities or events that a user wants to do at a particular location.

[0952] A "necessary task" refers to a specific task or plan that a user needs to complete.

[0953] "Weather Information" is data about current and forecasted weather conditions in a particular area.

[0954] "Traffic information" is data that indicates the operation status and congestion of roads and public transportation.

[0955] "Congestion information" is data that indicates the current density of people and vehicles in a particular location or area.

[0956] A "time schedule" is a plan that efficiently arranges tasks and activities to be performed within a specified time period.

[0957] The "means for displaying to the user" is an interface having a function for visually presenting the generated time schedule to the user.

[0958] This invention relates to a system that helps users efficiently plan their holiday and daily schedules. This system is built using a user terminal, a server, and APIs of external data providers.

[0959] User terminal

[0960] User terminals are compatible with a variety of devices, including smartphones, PCs, and tablets. An interface is provided for users to input where they want to go, what they want to do, and the tasks they need to complete. Once the user enters this information and presses the "send" button, the information is sent to the server.

[0961] server

[0962] The server is the central part of the system, and runs a back-end system that obtains weather, traffic, and congestion information and generates optimal time schedules.

[0963] Obtaining external information

[0964] The server obtains the following information through various APIs:

[0965] Weather information: Uses the weather data provider's API to obtain weather information (temperature, precipitation, and weather) for a specified location.

[0966] Traffic information: Uses the API of traffic data providers to obtain real-time traffic conditions (road congestion status, public transport operation status).

[0967] Crowd Information: Uses the API of crowd data providers to obtain real-time crowd information for a specified location.

[0968] Generating an optimal schedule

[0969] The server combines the information entered by the user with external information it has acquired to generate an optimal time schedule. For example, if a user registers "Tokyo," "picnic in the park," "shopping," and "dinner with family," the server will create a schedule as follows:

[0970] Picnic in the Park from 9:00 AM to 11:00 AM

[0971] "Shopping" from 11:30 a.m. to 1:00 p.m.

[0972] "Dinner with the Family" from 6:00 PM to 7:00 PM

[0973] In case of bad weather, the server automatically suggests alternative indoor activities, and also sequentially arranges tasks based on congestion and traffic information, taking travel time into account.

[0974] Viewing Schedules

[0975] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-read format. The user can check the schedule and act according to the plan.

[0976] Examples of prompt statements

[0977] "I want to have a picnic in a park in Tokyo. I also want to do some shopping. I'm also planning a dinner with my family. Please generate the best schedule for me."

[0978] This system has the advantage that users can easily obtain the optimal schedule without having to go through the trouble of gathering a lot of information.

[0979] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0980] Step 1: User Input

[0981] Users launch the application using a device such as a smartphone, PC, or tablet. Through the application interface, they input the places they want to go, the things they want to do, and the tasks they need to complete. For example, a user might input information such as "Tokyo," "picnic in the park," "shopping," and "dinner with family." The input information is sent to the server by pressing the "send" button.

[0982] Input: User input of where you want to go, what you want to do, and tasks you need to complete

[0983] Output: User input data sent to the server

[0984] Step 2: Get weather information

[0985] The server uses the weather data provider's API to obtain weather information for the specified location. The obtained data includes temperature, precipitation, and weather conditions (sunny, rainy, cloudy), etc. Based on this information, the server determines whether or not it is appropriate for the user to engage in outdoor activities.

[0986] Input: Specified location (e.g. Tokyo)

[0987] Output: Weather data on temperature, precipitation, and weather

[0988] Step 3: Obtaining traffic information

[0989] The server uses the API of a traffic data provider to obtain real-time traffic information, including road congestion and public transport status, to provide information on travel time and transportation mode selection.

[0990] Input: Specified location (e.g. Tokyo)

[0991] Output: Traffic data on road congestion and public transport operation status

[0992] Step 4: Obtaining congestion information

[0993] The server uses the APIs of congestion data providers to obtain real-time congestion information for specified locations. This information allows the server to determine how busy a particular location is and help adjust schedules.

[0994] Input: Specified location (e.g. Tokyo)

[0995] Output: Real-time congestion data for a specified location

[0996] Step 5: Generate an optimal schedule

[0997] The server combines the information entered by the user with acquired weather, traffic, and congestion information to generate an optimal time schedule. The server places the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM) and suggests alternatives if the weather is bad. It then places the next task in an appropriate time slot (e.g., "Shopping" from 11:30 AM to 1:00 PM), and sequentially places the remaining tasks, taking into account travel time based on congestion and traffic information.

[0998] Input: User input information, weather information, traffic information, congestion information

[0999] Output: Optimized time schedule

[1000] Step 6: View the schedule

[1001] The server sends the generated optimal schedule to the user's terminal. The user's terminal displays this schedule in a visually easy-to-understand format. The user can check the displayed schedule and act accordingly. As an example, the following time schedule may be displayed:

[1002] 9:00 - 11:00: Picnic in the park (Note: Due to bad weather, consider changing the activity to indoors)

[1003] 11:30 - 13:00: Shopping

[1004] 18:00 - 19:00: Dinner with family

[1005] Input: Optimal schedule sent from the server

[1006] Output: Time schedule displayed on the user's terminal

[1007] (Application example 1)

[1008] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1009] In today's world, users need to plan where they want to go and what they want to do while gathering a great deal of information. Furthermore, with the widespread adoption of self-driving vehicles, users are expected to be able to efficiently utilize their time and make plans while traveling. However, there is currently no system that can freely obtain real-time information such as weather, traffic, and congestion, automatically generate an optimal schedule, and then reflect this in self-driving vehicles. In such situations, users find it difficult to schedule appropriate trips and activities, which can cause significant stress. Therefore, there is a need for a system that allows users to travel to their destinations efficiently and comfortably and complete various tasks.

[1010] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1011] In this invention, the server includes means for a user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, means for displaying the generated time schedule to the user, means for reflecting the generated optimal schedule in an autonomously driven vehicle, and means for the autonomously driven vehicle to travel according to the schedule. This allows the user to automatically obtain an optimal schedule based on the weather and congestion, and further, the autonomously driven vehicle travels according to that schedule, enabling efficient and comfortable travel and activity.

[1012] "A means for users to input where they want to go, what they want to do, and the tasks they need to complete" is an interface that allows users to input their desired destinations, actions, and necessary work items using an electronic terminal.

[1013] "Means for obtaining weather, traffic, and congestion information" refers to APIs and communication modules for collecting real-time weather information, traffic conditions, and congestion information at locations from external data providers.

[1014] The "means for generating an optimal time schedule based on the information entered by the user and the acquired information" refers to a back-end system that integrates data entered by the user with acquired real-time information and automatically creates the most appropriate activity schedule using an algorithm.

[1015] The "means for displaying the generated time schedule to the user" is an interface for displaying the generated schedule on the user's terminal in a visually easy-to-understand format.

[1016] The "means for reflecting the generated optimal schedule in the autonomous vehicle" refers to a system that transmits the generated schedule to the autonomous vehicle's system and automatically configures the vehicle's operation based on that schedule.

[1017] "Means for an autonomous vehicle to move according to a schedule" refers to a control system that enables the vehicle to automatically move toward a destination according to a pre-set schedule.

[1018] This invention provides a system that allows users to input where they want to go, what they want to do, and what tasks they need to do, and generates an optimal time schedule based on that input, and then reflects that schedule in an autonomous vehicle.

[1019] Hardware and software used

[1020] 1. Smartphone / Tablet:

[1021] It provides an interface for users to input where they want to go, what they want to do, and the tasks they need to complete. The input information is sent to the server.

[1022] 2. Server:

[1023] Information is obtained from external data providers through APIs for obtaining weather, traffic, and congestion information. Based on the obtained information, an optimal time schedule that reflects the user's preferences is generated. Examples of APIs used include the OpenWeatherMap API (weather information), Google Maps API (traffic information), and APIs that provide real-time congestion information.

[1024] 3. Autonomous vehicle infotainment systems:

[1025] The generated schedule is received and automatic driving is performed based on that schedule.

[1026] Program processing and specific examples

[1027] User Input

[1028] Users operate an application on their smartphone or tablet to input where they want to go, what they want to do, and the tasks they need to complete. For example, they might enter information like "Office at 9:00, lunch at a cafe at 12:00, gym at 17:00." This information is then sent to the server.

[1029] Obtaining external information

[1030] The server obtains real-time weather, traffic, and congestion information for a specified location through external APIs. For example, it uses the OpenWeatherMap API to collect temperature, precipitation probability, and weather information for a specified location, and obtains road congestion and public transportation information using the Google Maps API. It also understands the congestion situation at the destination through an API that provides real-time congestion information.

[1031] Generating an optimal schedule

[1032] The server combines the information entered by the user with the real-time information it obtains and uses AI / ML models to generate an optimal time schedule, such as "travel from home to the office at 9:00, have lunch at a cafe at 12:00, and go to the gym at 17:00."

[1033] Displaying schedules and reflecting them in autonomous vehicles

[1034] The generated optimal schedule is sent from the server to smartphones and tablets, and then to the infotainment system of the autonomous vehicle. It is displayed in a visually easy-to-understand format on the smartphone or tablet, and the autonomous vehicle automatically moves to designated locations based on this schedule.

[1035] Prompt Sentence Examples

[1036] Using the following prompt format, the generative AI model generates the optimal travel schedule for the day and sends it to the autonomous vehicle's infotainment system.

[1037] 1. Current location: Home

[1038] 2. Places you want to go and tasks:

[1039] 09:00: Office

[1040] 12:00: Lunch at a cafe

[1041] 17:00: Gym

[1042] 3. Weather Information: OpenWeatherMap API

[1043] 4. Traffic Information: Google Maps API

[1044] 5. Congestion Information: Real-time Congestion Information API

[1045] In this way, by providing means for specifically implementing the invention, a user can travel to a destination efficiently and comfortably and carry out various activities according to a schedule.

[1046] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1047] Step 1:

[1048] User Input

[1049] Users operate an application on their smartphone or tablet to input the places they want to go, the things they want to do, and the tasks they need to complete. Input data might include, for example, "Office at 9:00," "Lunch at a cafe at 12:00," or "Gym at 17:00." This input data is sent to the server.

[1050] Input: Where you want to go, what you want to do, and tasks you need to complete.

[1051] Output: User input data sent to the server

[1052] Step 2:

[1053] Obtaining external information

[1054] The server obtains real-time data for the specified location using APIs from weather information providers, traffic information providers, and congestion information providers. Specifically, it uses the OpenWeatherMap API (weather information), Google Maps API (traffic information), and real-time congestion information API. This information includes temperature, probability of precipitation, traffic congestion, and congestion status at a specific location.

[1055] Input: The name of each location based on user input data

[1056] Output: Weather, traffic, and congestion information for each location

[1057] Step 3:

[1058] Data integration and optimal schedule generation

[1059] The server combines the user's input data with acquired weather, traffic, and congestion information, and generates an optimal time schedule using an AI / ML model. The generation process takes into account travel time between tasks, weather, and congestion. For example, a schedule might be generated that includes "from home to the office at 9:00," "lunch at a cafe at 12:00," and "go to the gym at 17:00."

[1060] Input: User input data, weather information, traffic information, congestion information

[1061] Output: Optimal time schedule

[1062] Step 4:

[1063] Viewing Schedules

[1064] The server generates an optimal time schedule, which is then sent to the user's smartphone or tablet and displayed in a visually easy-to-understand format, such as a timeline or list.

[1065] Input: Optimal time schedule

[1066] Output: Schedule displayed on the user's terminal

[1067] Step 5:

[1068] Reflecting schedules in autonomous vehicles

[1069] The server sends the generated optimal schedule to the infotainment system of the autonomous vehicle, which then sets a route based on the schedule and controls the vehicle to move automatically.

[1070] Input: Optimal time schedule

[1071] Output: Routing and automatic movement instructions for autonomous vehicles

[1072] Step 6:

[1073] Path execution

[1074] The autonomous vehicle will follow a route set via the infotainment system and will be controlled to reach each destination at the appropriate time.

[1075] Input: Routing provided to the autonomous vehicle

[1076] Output: Autonomous vehicle travels to destination

[1077] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1078] This invention is a system including means for a user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, and means for displaying the generated time schedule to the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it has the function of adjusting the schedule based on emotion data.

[1079] System Configuration

[1080] 1. User Device:

[1081] It provides an interface for users to input their holiday plans. It can be used on devices such as smartphones, PCs, and tablets.

[1082] 2. Server:

[1083] A back-end system operates that acquires weather, traffic, and congestion information, generates an optimal time schedule based on user input, and analyzes emotional data using an emotion engine.

[1084] 3. Emotion Engine:

[1085] This system recognizes the user's emotions and collects and analyzes emotional data in real time. Based on this information, the time schedule is further optimized.

[1086] Program processing and explanation

[1087] User Input

[1088] The user operates the device and inputs the place they want to go, what they want to do, and the tasks they need to complete into the app. For example, the user inputs tasks such as "Tokyo," "picnic in the park," "shopping," and "dinner with family." This information is sent to the server.

[1089] Obtaining external information

[1090] The server retrieves the following external information based on the specified location:

[1091] 1. Weather information:

[1092] Weather information for the specified location is obtained through the weather data provider's API, including temperature, precipitation, and weather conditions (sunny / rainy / cloudy). This information is used to determine whether outdoor activities are appropriate.

[1093] 2. Traffic information:

[1094] Through the API of a traffic data provider, real-time traffic information for a specified area is obtained, including road congestion and public transport status, which can be used to help determine travel times and modes of transportation.

[1095] 3. Crowd Information:

[1096] Get real-time congestion information for a specified location through the API of a congestion data provider. Determine how busy a particular location is and use it to adjust schedules.

[1097] Recognizing and collecting emotion data

[1098] The emotion engine recognizes the user's emotions on the user's device and collects emotional data in real time. Sensors such as cameras and microphones are used to determine emotions from facial expressions and tone of voice. This emotional data is sent to a server and used to adjust schedules.

[1099] Generating an optimal schedule

[1100] The server integrates the user's input information, acquired external information, and emotional data to generate an optimal time schedule.

[1101] Examples:

[1102] Place the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM)

[1103] Automatically suggest alternative indoor activities if the weather is bad

[1104] An emotion engine analyzes the user's emotional state and adjusts the schedule accordingly (e.g., if the user is feeling stressed, it suggests relaxing activities).

[1105] Viewing Schedules

[1106] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-understand format. The user can check the schedule and prepare for a fulfilling holiday.

[1107] Specific schedule example:

[1108] 9:00 - 11:00: Picnic in the park

[1109] Note: Due to poor weather, please consider changing your activities to indoors.

[1110] 11:30 - 13:00: Shopping

[1111] 18:00 - 19:00: Dinner with family

[1112] Additional suggestions based on your emotional state (e.g., relaxing massage, reading time)

[1113] This allows users to save time by collecting a lot of information and enjoy a fulfilling holiday with an optimal schedule that is adjusted according to their emotional state.

[1114] The processing flow will be explained below.

[1115] Step 1:

[1116] The user operates the device and launches the app. The user inputs the place they want to go, what they want to do, and the tasks they need to complete. Specifically, they input information such as "Tokyo," "picnic in the park," "shopping," and "dinner with family."

[1117] Step 2:

[1118] The terminal sends the user's input information to the server, which receives it and stores it for further processing.

[1119] Step 3:

[1120] The server obtains weather information by sending a request to the weather data provider's API to obtain the temperature, precipitation, and weather conditions for the specified location (e.g., Tokyo).

[1121] Step 4:

[1122] The server obtains traffic information by sending a request to the API of a traffic data provider to obtain real-time road congestion and public transport status for the specified location.

[1123] Step 5:

[1124] The server obtains congestion information, using the API of a congestion data provider to obtain the congestion level of a specified location in real time.

[1125] Step 6:

[1126] The user device uses an emotion engine to recognize the user's emotions and collects emotion data in real time. Sensors such as cameras and microphones are used to determine emotions from the user's facial expressions and tone of voice.

[1127] Step 7:

[1128] The device sends the recognized emotion data to a server, which receives the emotion data and stores it for analysis.

[1129] Step 8:

[1130] The server integrates user input, weather, traffic, congestion, and emotion data to generate an optimal time schedule. For example, if a user needs a relaxing activity at 3 p.m., the server will make suggestions appropriate for that time period.

[1131] Step 9:

[1132] The server places the first task based on the current time, for example, "Picnic in the Park" from 9:00 AM to 11:00 AM, and suggests alternative indoor activities if the weather is bad.

[1133] Step 10:

[1134] The server schedules the next task at the appropriate time slot, for example, 11:30 AM to 1:00 PM for "Shopping," adjusting accordingly based on the user's emotional data.

[1135] Step 11:

[1136] The server generates the final time schedule and ensures that the overall schedule is based on user input and real-time external information.

[1137] Step 12:

[1138] The server transmits the generated time schedule to the user terminal.

[1139] Step 13:

[1140] The schedule received by the user terminal is displayed in a visually easy-to-understand format, allowing the user to check the schedule and prepare for a fulfilling holiday.

[1141] Specific schedule example:

[1142] 9:00 - 11:00: Picnic in the park

[1143] Note: Due to poor weather, please consider changing your activities to indoors.

[1144] 11:30 - 13:00: Shopping

[1145] 18:00 - 19:00: Dinner with family

[1146] Additional suggestions based on your emotional state (e.g., relaxing massage, reading time)

[1147] Example 2

[1148] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1149] Conventional schedule generation systems allow users to input where they want to go and what they want to do, and obtain weather and traffic information, but they are unable to generate schedules that take into account the user's emotional state or real-time congestion conditions. Furthermore, there is a need for systems that can effectively process the large amount of information input by users and flexibly adjust schedules based on the user's emotions.

[1150] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1151] In this invention, the server includes means for the user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, means for recognizing the user's emotional data and adjusting the schedule, and means for displaying the generated time schedule to the user. This enables flexible and optimal schedule generation that takes into account the user's emotional state and real-time information.

[1152] "A means for users to input where they want to go, what they want to do, and the tasks they need to do" refers to an interface that allows users to input their desired locations, planned activities, and required tasks.

[1153] "Means for obtaining weather, traffic, and congestion information" refers to APIs and data connection technologies that collect weather, traffic, and congestion information from external information providers.

[1154] "Means for generating an optimal time schedule" refers to an algorithm or program that optimally allocates time and activities based on information input by the user and external information obtained.

[1155] "Means for displaying the generated time schedule to the user" refers to a screen or app function that visually displays the generated schedule on the user's device.

[1156] "Means for recognizing a user's emotional data and adjusting the schedule" refers to an algorithm or program that detects a user's emotional state and dynamically adjusts the schedule based on that data.

[1157] This invention provides an advanced scheduling system that can be used by users in their everyday lives. Its purpose is to input the places a user wants to go, the things they want to do, and the tasks they need to complete, acquire appropriate external information, and generate an optimal time schedule that also takes emotional data into account, and provide it to the user. A detailed description of specific embodiments of this invention follows.

[1158] Hardware and Software Configuration

[1159] User terminal

[1160] It requires a mobile device, such as a smartphone, PC, or tablet, that is operated by the user and provides an interface for the user to enter input.

[1161] server

[1162] The back-end system runs a server that collects weather, traffic, and congestion information and generates an optimal time schedule. The server also analyzes emotion data using an emotion engine. The following specific software and technologies are used:

[1163] Weather information acquisition: OpenWeatherMap API

[1164] Traffic information acquisition: Google Maps API

[1165] Obtaining congestion information: API of specific data provider

[1166] Emotion Engine

[1167] This is a system that recognizes the user's emotions. It uses sensors such as cameras and microphones to collect emotional data from facial expressions and tone of voice in real time, and software runs that sends the data to a server. For example, it uses facial recognition technology and voice analysis technology.

[1168] System Operation

[1169] Example of user input

[1170] The user inputs the travel destination as "Tokyo," the place they want to go to as "picnic in the park," the thing they want to do as "shopping," and the task they need to do as "dinner with family." This operation is performed through a smartphone app.

[1171] Obtaining external information

[1172] The server retrieves weather and traffic information via APIs based on the location information received from the user. For example, it retrieves weather data from the OpenWeatherMap API and traffic data from the Google Maps API.

[1173] Example of emotion data collection

[1174] The emotion engine uses the camera and microphone on the user's device to collect the user's emotional state in real time, determining whether the user is feeling stressed or relaxed, for example, and sends that data to a server.

[1175] Generate a schedule

[1176] The server combines the information entered by the user, external information acquired, and emotional data to generate an optimal time schedule. For example, a schedule might be constructed such as "9:00 - 11:00: Picnic in the park, 11:30 - 13:00: Shopping, 18:00 - 19:00: Dinner with family." If the weather is bad, the server will also suggest changing the "Picnic in the park" to "Activities in the shopping mall."

[1177] Viewing Schedules

[1178] The generated time schedule is sent from the server to the user's device and displayed in a visually easy-to-understand format on the application's user interface, allowing the user to check and adjust their daily schedule.

[1179] Prompt Sentence Examples

[1180] "Please write a description of a system that retrieves weather, traffic, and congestion information based on the places a user wants to go, things they want to do, and tasks they need to complete, and then generates and displays an optimal time schedule based on emotional data."

[1181] In this way, the present invention can provide a more individually optimized time schedule by taking into account the user's emotional state, and can save the user the trouble of collecting a lot of information, allowing them to manage their schedule efficiently and comfortably.

[1182] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1183] Step 1:

[1184] The user operates the device and inputs the places they want to go, the things they want to do, and the tasks they need to complete into a dedicated application. The input data includes locations (e.g., "Tokyo"), activities (e.g., "picnic in the park"), and tasks (e.g., "shopping" or "dinner with family"). The input information is sent from the user device to the server. To input information specifically, the user enters the information into a text box on the smartphone app and clicks the send button.

[1185] input:

[1186] User inputs where to go, what to do, and tasks required

[1187] output:

[1188] User-entered data sent to the server

[1189] Step 2:

[1190] The server receives the user's input data. The received data includes the places the user wants to go, the things they want to do, and the tasks they need to complete. Next, the server obtains external information (weather, traffic, and congestion information) through APIs based on the obtained location. Specifically, it obtains weather information using the OpenWeatherMap API, traffic information using the Google Maps API, and congestion information using the API of a specific data provider. The data obtained from each API is integrated on the server.

[1191] input:

[1192] User-entered data

[1193] output:

[1194] Obtained external information (weather information, traffic information, congestion information)

[1195] Step 3:

[1196] The server receives and analyzes the emotion data. The emotion engine recognizes the user's emotions on the user's device and collects emotion data in real time using a camera and microphone. The collected emotion data (e.g., stress level or degree of joy obtained from facial expressions and tone of voice) is sent from the user's device to the server. The emotion data is analyzed on the server.

[1197] input:

[1198] User emotional data (facial expressions, tone of voice)

[1199] output:

[1200] Analyzed sentiment data

[1201] Step 4:

[1202] The server generates an optimal time schedule based on all the information. Here, it integrates the user's input data, acquired external information, and analyzed emotional data, and uses an algorithm to create the optimal schedule. For example, if the weather is good, it will suggest a "picnic in the park," and if the weather is bad, it will suggest an "activity at the shopping mall." It also adds relaxing activities if the user is feeling stressed. The generated time schedule is saved as data on the server.

[1203] input:

[1204] User input data, external information obtained, and analyzed emotion data

[1205] output:

[1206] Generated optimal time schedule

[1207] Step 5:

[1208] The server sends the generated time schedule to the user's terminal. The server then formats the generated schedule in a visually easy-to-understand format and sends it to the user's terminal in a data format such as JSON or XML.

[1209] input:

[1210] Generated time schedule

[1211] output:

[1212] Time schedule sent to the user terminal

[1213] Step 6:

[1214] The user's device displays the received time schedule. The schedule is visually displayed on the device app and reflected in the interface in a way that is easy for the user to understand. The user can plan their daily life based on the displayed schedule.

[1215] input:

[1216] Time schedule sent from the server

[1217] output:

[1218] Time schedule displayed on the user's device

[1219] (Application example 2)

[1220] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1221] With conventional scheduling systems, even if users input where they want to go and what they want to do, it has been difficult to provide an optimal schedule that takes into account real-time external information (weather, traffic, congestion information) and the user's emotional state at that time. In particular, since general technology has not been able to reflect the user's emotional state in real time, there has been a demand for a system that allows users to travel and complete tasks efficiently without feeling stressed.

[1222] The specific processing 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: means for inputting the places the user wants to go, things they want to do, and necessary tasks; means for acquiring weather information, traffic information, and congestion information; means for generating an optimal time schedule based on the user's input information and the acquired information; means for displaying the generated time schedule to the user; means for recognizing the user's emotional state and collecting emotional data in real time; means for adjusting the schedule based on the emotional data; means for displaying the generated optimal time schedule on a visual device; and navigation means for optimizing the user's travel experience by acquiring external information and recognizing emotional data. This enables the user to obtain an optimal schedule that reflects external information and emotional state that change in real time, allowing them to travel and complete tasks comfortably.

[1223] "A means for users to input where they want to go, what they want to do, and the tasks they need to complete" refers to an interface that allows users to input where they want to go, what they want to do, and the tasks they need to complete through voice input or gesture control using smart glasses or other visual devices.

[1224] "Means for obtaining weather information, traffic information, and congestion information" refers to communication means for obtaining real-time weather, traffic conditions, and congestion information through an external API.

[1225] The "means for generating an optimal time schedule based on the information entered by the user and the information acquired" refers to an algorithm and an implementation device that integrates data entered by the user with real-time information acquired from an external API to generate an efficient and optimal schedule.

[1226] The "means for displaying the generated time schedule to the user" refers to a means for visually presenting the generated schedule to the user through a display of a visual device such as smart glasses.

[1227] "Means for recognizing the user's emotional state and collecting emotional data in real time" refers to technology that uses sensors such as cameras and microphones to analyze the user's emotional state from their facial expressions and voice, and collect data in real time.

[1228] The "means for adjusting the schedule based on the emotional data" refers to an algorithm and an apparatus for implementing the algorithm that dynamically changes the schedule based on the collected emotional data and readjusts it to a schedule that is most suited to the user's emotional state.

[1229] "Means for displaying the generated optimal time schedule on a visual device" refers to a means for visualizing the generated and adjusted optimal schedule to the user using a visual device such as smart glasses or a head-mounted display.

[1230] "Navigation means that optimizes the user's travel experience through the acquisition of external information and the recognition of emotional data" refers to a navigation system that suggests the most efficient and comfortable travel routes and activities to users based on traffic information, weather, congestion information, and even the user's emotional state.

[1231] The system for realizing this invention is composed of a user terminal, a server, an external data provider, and an emotion engine. Details of each component and the operation of the entire system are explained below.

[1232] System Configuration

[1233] User terminal

[1234] Smart glasses and head-mounted displays are used as user terminals. Users use these devices to input where they want to go, what they want to do, and the tasks they need to complete using voice or gestures. These devices also have cameras and microphones, which transmit the user's emotional state to the emotion engine in real time.

[1235] server

[1236] The server is responsible for the back-end system and performs the following main functions:

[1237] Obtaining weather, traffic, and congestion information

[1238] Generate optimal time schedules

[1239] Sentiment Data Analysis

[1240] Adjusting and regenerating schedules

[1241] The server uses a Python program to implement these functions. Specifically, it obtains weather information using the OpenWeather API, traffic information using the Google Maps API, and congestion information using the CrowdSense API. It also analyzes emotional data using Amazon Rekognition and adjusts the schedule according to the user's emotional state.

[1242] Emotion Engine

[1243] The emotion engine analyzes data collected from the user's device's camera and microphone to recognize the user's emotional state. It uses Amazon Rekognition to recognize facial expressions and analyze voice tones. The resulting emotional data is sent to the server and used to adjust the schedule.

[1244] Specific operation example

[1245] 1. User Input

[1246] The user puts on the smart glasses and speaks the words "Tokyo," "picnic in the park," "shopping," and "dinner with family."

[1247] Example prompt: "OK Glass, tell me what's on the agenda for today."

[1248] 2. Acquisition of information

[1249] The server uses the OpenWeather API to obtain weather data for Tokyo, the Google Maps API to obtain traffic information, and the CrowdSense API to obtain congestion information.

[1250] Example prompt: "OK Glass, what's your plan based on today's weather, traffic, and traffic conditions in Tokyo?"

[1251] 3. Collecting Emotional Data

[1252] It recognizes the user's facial expressions and voice and collects emotional data in real time using Amazon Rekognition. If the emotional data is recognized as "stress," the data is sent to the server.

[1253] Example prompt: "OK Glass, how are you feeling right now?"

[1254] 4. Schedule generation and adjustment

[1255] The server generates an optimal time schedule based on the user's input, external information, and emotional data. It suggests indoor activities if the weather is bad, and adds relaxing activities if the user is feeling stressed.

[1256] Example: "9:00 - 11:00: Picnic in the park (Note: Due to bad weather, please consider changing this to an indoor activity)."

[1257] 5. View schedule

[1258] The generated schedule is displayed on the smart glasses display, and the user visually checks the schedule and decides on the next action.

[1259] This allows users to enjoy an optimal schedule based on real-time changing external information and their own emotional state, enabling them to travel and perform tasks efficiently and comfortably.

[1260] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1261] Step 1:

[1262] The user puts on the smart glasses and uses voice or gesture input to input the places they want to go, the things they want to do, and the tasks they need to complete. For example, they might input "Tokyo," "picnic in the park," "shopping," or "dinner with family." The user's device collects this information and sends it to the server.

[1263] Input: Information entered by the user through voice input or gestures.

[1264] Output: Data on where you want to go, what you want to do, and the tasks you need to complete, sent to the server.

[1265] Step 2:

[1266] The server calls external APIs to retrieve weather, traffic, and congestion information based on the specified location, specifically the OpenWeather API, Google Maps API, and CrowdSense API.

[1267] Input: User-specified location information.

[1268] Output: Captured weather, traffic, and congestion data.

[1269] Specific operation: The server sends requests to each API to obtain real-time data. For example, it obtains weather information from the OpenWeather API, traffic information from the Google Maps API, and congestion information from the CrowdSense API.

[1270] Step 3:

[1271] Using the camera and microphone on the user's device, the user's facial expressions and tone of voice are transmitted to the emotion engine in real time to recognize their emotional state. This data is then analyzed using Amazon Rekognition.

[1272] Input: Real-time user facial and voice data collected through camera and microphone.

[1273] Output: Emotion data sent to the server.

[1274] How it works: The user's device uses a camera and microphone to collect facial expressions and tone of voice, then sends the data to an emotion engine (Amazon Rekognition) for analysis. The analysis results are then sent to the server.

[1275] Step 4:

[1276] The server combines information entered by the user, data obtained from external APIs, and emotion data obtained from the emotion engine to generate an optimal time schedule. The schedule is adjusted according to the weather and the user's emotional state.

[1277] Input: User input information, acquired weather, traffic and congestion information, and emotion data.

[1278] Output: Optimal time schedule.

[1279] How it works: The server runs an algorithm that generates an optimal schedule based on weather, traffic, crowding, and emotional data. If the emotional state is recognized as "stress," it adds relaxing activities to the schedule.

[1280] Step 5:

[1281] The optimal time schedule generated by the server is sent back to the user terminal and displayed on the display of the smart glasses.

[1282] Input: The optimal time schedule sent by the server.

[1283] Output: Schedule displayed on smart glasses.

[1284] What it does: The smart glasses display shows the schedule in a visually easy-to-understand format, allowing the user to easily see what to do next.

[1285] Example prompt: "OK Glass, what are your plans based on today's weather, traffic, and traffic conditions in Tokyo? I'm feeling stressed right now, so I'd like some suggestions for relaxing activities."

[1286] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1287] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1288] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1289] [Fourth embodiment]

[1290] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1291] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1292] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1293] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1294] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1295] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1296] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1297] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1298] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1299] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1300] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1301] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1302] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1303] This invention is a system that includes a means for a user to input places they want to go, things they want to do, and necessary tasks; a means for acquiring weather information, traffic information, and congestion information; a means for generating an optimal time schedule based on the information input by the user and the acquired information; and a means for displaying the generated time schedule to the user.

[1304] System Configuration

[1305] 1. User Device:

[1306] It provides an interface for users to input their holiday plans. It can be used on devices such as smartphones, PCs, and tablets.

[1307] 2. Server:

[1308] A back-end system operates that acquires weather, traffic, and congestion information and generates an optimal time schedule based on user input.

[1309] Program processing and explanation

[1310] User Input

[1311] The user operates the device and inputs the place they want to go, what they want to do, and the tasks they need to complete into the app. For example, the user might register the tasks "Tokyo," "picnic in the park," "shopping," and "dinner with family" in the app. This information is sent to the server.

[1312] Obtaining external information

[1313] The server retrieves the following external information based on the specified location:

[1314] 1. Weather information:

[1315] Weather information for a specified location is obtained through the weather data provider's API. Specifically, this information includes temperature, precipitation, and weather conditions (sunny / rainy / cloudy). This information is used to determine whether or not the user is comfortable engaging in outdoor activities.

[1316] 2. Traffic information:

[1317] Through the API of a traffic data provider, real-time traffic information for the target area is obtained, including road congestion and public transport operation status. This information helps users decide travel time and transportation mode.

[1318] 3. Crowd Information:

[1319] The real-time congestion status of a specified location is obtained through the API of a congestion data provider. This information is used to determine whether a particular location is crowded and adjust schedules accordingly.

[1320] Generating an optimal schedule

[1321] The server integrates the user's input information with the external information it has acquired and generates an optimal time schedule.

[1322] Examples:

[1323] Place the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM)

[1324] Automatically suggest alternative indoor activities if the weather is bad

[1325] Schedule your next task for an appropriate time slot (e.g., "Shopping" from 11:30 AM to 1:00 PM)

[1326] Tasks are arranged sequentially based on congestion and traffic information, taking travel time into consideration.

[1327] Viewing Schedules

[1328] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-understand format. The user can check the schedule and spend their holiday as planned.

[1329] Specific display examples:

[1330] 9:00 - 11:00: Picnic in the park

[1331] Note: Due to poor weather, please consider changing your activities to indoors.

[1332] 11:30 - 13:00: Shopping

[1333] 18:00 - 19:00: Dinner with family

[1334] This system saves users the trouble of gathering a lot of information and allows them to automatically obtain the optimal schedule for a fulfilling holiday.

[1335] The processing flow will be explained below.

[1336] Step 1:

[1337] The user launches the app on their device. The user enters their holiday plans into the app. This information includes places they want to go, things they want to do, and tasks they need to complete.

[1338] Step 2:

[1339] The user terminal transmits the input information to the server, and the server receives the user input data.

[1340] Step 3:

[1341] The server retrieves weather information. It retrieves weather data for the specified location from the weather API. Specifically, it retrieves temperature, precipitation, and weather conditions (sunny / rainy / cloudy).

[1342] Step 4:

[1343] The server obtains traffic information. It obtains real-time traffic conditions in the target area from the traffic API. Specifically, it obtains road congestion status and the operation status of public transportation.

[1344] Step 5:

[1345] The server obtains congestion information. It obtains real-time congestion information for a specified location from the congestion API. This is to determine the degree of congestion at a specific location.

[1346] Step 6:

[1347] The server integrates the information entered by the user with the external information it has acquired, and prepares to generate the entire time schedule.

[1348] Step 7:

[1349] The server places the first task based on the current time, for example, "Picnic in the Park" from 9:00 AM to 11:00 AM.

[1350] Step 8:

[1351] The server determines whether outdoor activities are appropriate based on weather information. For example, if the weather is bad, it automatically suggests alternative indoor activities.

[1352] Step 9:

[1353] The server places the next task at the appropriate time slot, for example, "Shopping" from 11:30 AM to 1:00 PM.

[1354] Step 10:

[1355] The server places tasks sequentially based on congestion and traffic information, taking travel time into consideration.

[1356] Step 11:

[1357] The server generates the final time schedule, ensuring that the schedule is based on user input and real-time external information.

[1358] Step 12:

[1359] The server transmits the generated time schedule to the user terminal.

[1360] Step 13:

[1361] The schedule received by the user terminal is displayed in a visually easy-to-understand format, allowing the user to check the schedule and prepare for a fulfilling holiday.

[1362] Specific schedule example:

[1363] 9:00 - 11:00: Picnic in the park

[1364] Note: Due to poor weather, please consider changing your activities to indoors.

[1365] 11:30 - 13:00: Shopping

[1366] 18:00 - 19:00: Dinner with family

[1367] Example 1

[1368] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1369] In recent years, the diversity and volume of information has increased, and in order for users to spend their holidays fulfillingly and their daily lives efficiently, they need to collect a large amount of external information, such as weather information, traffic information, and congestion information, and create an optimal schedule based on that information. However, this information collection and schedule creation requires time and effort, placing a heavy burden on users. Therefore, there is a need for a system that allows users to easily obtain an efficient and optimal schedule.

[1370] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1371] In this invention, the server includes means for the user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, and means for displaying the generated time schedule to the user. This allows the user to efficiently acquire a lot of information and easily obtain an optimal schedule.

[1372] A "destination" is a particular geographic location that a user wishes to visit.

[1373] "Things to do" are the types of activities or events that a user wants to do at a particular location.

[1374] A "necessary task" refers to a specific task or plan that a user needs to complete.

[1375] "Weather Information" is data about current and forecasted weather conditions in a particular area.

[1376] "Traffic information" is data that indicates the operation status and congestion of roads and public transportation.

[1377] "Congestion information" is data that indicates the current density of people and vehicles in a particular location or area.

[1378] A "time schedule" is a plan that efficiently arranges tasks and activities to be performed within a specified time period.

[1379] The "means for displaying to the user" is an interface having a function for visually presenting the generated time schedule to the user.

[1380] This invention relates to a system that helps users efficiently plan their holiday and daily schedules. This system is built using a user terminal, a server, and APIs of external data providers.

[1381] User terminal

[1382] User terminals are compatible with a variety of devices, including smartphones, PCs, and tablets. An interface is provided for users to input where they want to go, what they want to do, and the tasks they need to complete. Once the user enters this information and presses the "send" button, the information is sent to the server.

[1383] server

[1384] The server is the central part of the system, and runs a back-end system that obtains weather, traffic, and congestion information and generates optimal time schedules.

[1385] Obtaining external information

[1386] The server obtains the following information through various APIs:

[1387] Weather information: Uses the weather data provider's API to obtain weather information (temperature, precipitation, and weather) for a specified location.

[1388] Traffic information: Uses the API of traffic data providers to obtain real-time traffic conditions (road congestion status, public transport operation status).

[1389] Crowd Information: Uses the API of crowd data providers to obtain real-time crowd information for a specified location.

[1390] Generating an optimal schedule

[1391] The server combines the information entered by the user with external information it has acquired to generate an optimal time schedule. For example, if a user registers "Tokyo," "picnic in the park," "shopping," and "dinner with family," the server will create a schedule as follows:

[1392] Picnic in the Park from 9:00 AM to 11:00 AM

[1393] "Shopping" from 11:30 a.m. to 1:00 p.m.

[1394] "Dinner with the Family" from 6:00 PM to 7:00 PM

[1395] In case of bad weather, the server automatically suggests alternative indoor activities, and also sequentially arranges tasks based on congestion and traffic information, taking travel time into account.

[1396] Viewing Schedules

[1397] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-read format. The user can check the schedule and act according to the plan.

[1398] Examples of prompt statements

[1399] "I want to have a picnic in a park in Tokyo. I also want to do some shopping. I'm also planning a dinner with my family. Please generate the best schedule for me."

[1400] This system has the advantage that users can easily obtain the optimal schedule without having to go through the trouble of gathering a lot of information.

[1401] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1402] Step 1: User Input

[1403] Users launch the application using a device such as a smartphone, PC, or tablet. Through the application interface, they input the places they want to go, the things they want to do, and the tasks they need to complete. For example, a user might input information such as "Tokyo," "picnic in the park," "shopping," and "dinner with family." The input information is sent to the server by pressing the "send" button.

[1404] Input: User input of where you want to go, what you want to do, and tasks you need to complete

[1405] Output: User input data sent to the server

[1406] Step 2: Get weather information

[1407] The server uses the weather data provider's API to obtain weather information for the specified location. The obtained data includes temperature, precipitation, and weather conditions (sunny, rainy, cloudy), etc. Based on this information, the server determines whether or not it is appropriate for the user to engage in outdoor activities.

[1408] Input: Specified location (e.g. Tokyo)

[1409] Output: Weather data on temperature, precipitation, and weather

[1410] Step 3: Obtaining traffic information

[1411] The server uses the API of a traffic data provider to obtain real-time traffic information, including road congestion and public transport status, to provide information on travel time and transportation mode selection.

[1412] Input: Specified location (e.g. Tokyo)

[1413] Output: Traffic data on road congestion and public transport operation status

[1414] Step 4: Obtaining congestion information

[1415] The server uses the APIs of congestion data providers to obtain real-time congestion information for specified locations. This information allows the server to determine how busy a particular location is and help adjust schedules.

[1416] Input: Specified location (e.g. Tokyo)

[1417] Output: Real-time congestion data for a specified location

[1418] Step 5: Generate an optimal schedule

[1419] The server combines the information entered by the user with acquired weather, traffic, and congestion information to generate an optimal time schedule. The server places the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM) and suggests alternatives if the weather is bad. It then places the next task in an appropriate time slot (e.g., "Shopping" from 11:30 AM to 1:00 PM), and sequentially places the remaining tasks, taking into account travel time based on congestion and traffic information.

[1420] Input: User input information, weather information, traffic information, congestion information

[1421] Output: Optimized time schedule

[1422] Step 6: View the schedule

[1423] The server sends the generated optimal schedule to the user's terminal. The user's terminal displays this schedule in a visually easy-to-understand format. The user can check the displayed schedule and act accordingly. As an example, the following time schedule may be displayed:

[1424] 9:00 - 11:00: Picnic in the park (Note: Due to bad weather, consider changing the activity to indoors)

[1425] 11:30 - 13:00: Shopping

[1426] 18:00 - 19:00: Dinner with family

[1427] Input: Optimal schedule sent from the server

[1428] Output: Time schedule displayed on the user's terminal

[1429] (Application example 1)

[1430] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1431] In today's world, users need to plan where they want to go and what they want to do while gathering a great deal of information. Furthermore, with the widespread adoption of self-driving vehicles, users are expected to be able to efficiently utilize their time and make plans while traveling. However, there is currently no system that can freely obtain real-time information such as weather, traffic, and congestion, automatically generate an optimal schedule, and then reflect this in self-driving vehicles. In such situations, users find it difficult to schedule appropriate trips and activities, which can cause significant stress. Therefore, there is a need for a system that allows users to travel to their destinations efficiently and comfortably and complete various tasks.

[1432] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1433] In this invention, the server includes means for a user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, means for displaying the generated time schedule to the user, means for reflecting the generated optimal schedule in an autonomously driven vehicle, and means for the autonomously driven vehicle to travel according to the schedule. This allows the user to automatically obtain an optimal schedule based on the weather and congestion, and further, the autonomously driven vehicle travels according to that schedule, enabling efficient and comfortable travel and activity.

[1434] "A means for users to input where they want to go, what they want to do, and the tasks they need to complete" is an interface that allows users to input their desired destinations, actions, and necessary work items using an electronic terminal.

[1435] "Means for obtaining weather, traffic, and congestion information" refers to APIs and communication modules for collecting real-time weather information, traffic conditions, and congestion information at locations from external data providers.

[1436] The "means for generating an optimal time schedule based on the information entered by the user and the acquired information" refers to a back-end system that integrates data entered by the user with acquired real-time information and automatically creates the most appropriate activity schedule using an algorithm.

[1437] The "means for displaying the generated time schedule to the user" is an interface for displaying the generated schedule on the user's terminal in a visually easy-to-understand format.

[1438] The "means for reflecting the generated optimal schedule in the autonomous vehicle" refers to a system that transmits the generated schedule to the autonomous vehicle's system and automatically configures the vehicle's operation based on that schedule.

[1439] "Means for an autonomous vehicle to move according to a schedule" refers to a control system that enables the vehicle to automatically move toward a destination according to a pre-set schedule.

[1440] This invention provides a system that allows users to input where they want to go, what they want to do, and what tasks they need to do, and generates an optimal time schedule based on that input, and then reflects that schedule in an autonomous vehicle.

[1441] Hardware and software used

[1442] 1. Smartphone / Tablet:

[1443] It provides an interface for users to input where they want to go, what they want to do, and the tasks they need to complete. The input information is sent to the server.

[1444] 2. Server:

[1445] Information is obtained from external data providers through APIs for obtaining weather, traffic, and congestion information. Based on the obtained information, an optimal time schedule that reflects the user's preferences is generated. Examples of APIs used include the OpenWeatherMap API (weather information), Google Maps API (traffic information), and APIs that provide real-time congestion information.

[1446] 3. Autonomous vehicle infotainment systems:

[1447] The generated schedule is received and automatic driving is performed based on that schedule.

[1448] Program processing and specific examples

[1449] User Input

[1450] Users operate an application on their smartphone or tablet to input where they want to go, what they want to do, and the tasks they need to complete. For example, they might enter information like "Office at 9:00, lunch at a cafe at 12:00, gym at 17:00." This information is then sent to the server.

[1451] Obtaining external information

[1452] The server obtains real-time weather, traffic, and congestion information for a specified location through external APIs. For example, it uses the OpenWeatherMap API to collect temperature, precipitation probability, and weather information for a specified location, and obtains road congestion and public transportation information using the Google Maps API. It also understands the congestion situation at the destination through an API that provides real-time congestion information.

[1453] Generating an optimal schedule

[1454] The server combines the information entered by the user with the real-time information it obtains and uses AI / ML models to generate an optimal time schedule, such as "travel from home to the office at 9:00, have lunch at a cafe at 12:00, and go to the gym at 17:00."

[1455] Displaying schedules and reflecting them in autonomous vehicles

[1456] The generated optimal schedule is sent from the server to smartphones and tablets, and then to the infotainment system of the autonomous vehicle. It is displayed in a visually easy-to-understand format on the smartphone or tablet, and the autonomous vehicle automatically moves to designated locations based on this schedule.

[1457] Prompt Sentence Examples

[1458] Using the following prompt format, the generative AI model generates the optimal travel schedule for the day and sends it to the autonomous vehicle's infotainment system.

[1459] 1. Current location: Home

[1460] 2. Places you want to go and tasks:

[1461] 09:00: Office

[1462] 12:00: Lunch at a cafe

[1463] 17:00: Gym

[1464] 3. Weather Information: OpenWeatherMap API

[1465] 4. Traffic Information: Google Maps API

[1466] 5. Congestion Information: Real-time Congestion Information API

[1467] In this way, by providing means for specifically implementing the invention, a user can travel to a destination efficiently and comfortably and carry out various activities according to a schedule.

[1468] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1469] Step 1:

[1470] User Input

[1471] Users operate an application on their smartphone or tablet to input the places they want to go, the things they want to do, and the tasks they need to complete. Input data might include, for example, "Office at 9:00," "Lunch at a cafe at 12:00," or "Gym at 17:00." This input data is sent to the server.

[1472] Input: Where you want to go, what you want to do, and tasks you need to complete.

[1473] Output: User input data sent to the server

[1474] Step 2:

[1475] Obtaining external information

[1476] The server obtains real-time data for the specified location using APIs from weather information providers, traffic information providers, and congestion information providers. Specifically, it uses the OpenWeatherMap API (weather information), Google Maps API (traffic information), and real-time congestion information API. This information includes temperature, probability of precipitation, traffic congestion, and congestion status at a specific location.

[1477] Input: The name of each location based on user input data

[1478] Output: Weather, traffic, and congestion information for each location

[1479] Step 3:

[1480] Data integration and optimal schedule generation

[1481] The server combines the user's input data with acquired weather, traffic, and congestion information, and generates an optimal time schedule using an AI / ML model. The generation process takes into account travel time between tasks, weather, and congestion. For example, a schedule might be generated that includes "from home to the office at 9:00," "lunch at a cafe at 12:00," and "go to the gym at 17:00."

[1482] Input: User input data, weather information, traffic information, congestion information

[1483] Output: Optimal time schedule

[1484] Step 4:

[1485] Viewing Schedules

[1486] The server generates an optimal time schedule, which is then sent to the user's smartphone or tablet and displayed in a visually easy-to-understand format, such as a timeline or list.

[1487] Input: Optimal time schedule

[1488] Output: Schedule displayed on the user's terminal

[1489] Step 5:

[1490] Reflecting schedules in autonomous vehicles

[1491] The server sends the generated optimal schedule to the infotainment system of the autonomous vehicle, which then sets a route based on the schedule and controls the vehicle to move automatically.

[1492] Input: Optimal time schedule

[1493] Output: Routing and automatic movement instructions for autonomous vehicles

[1494] Step 6:

[1495] Path execution

[1496] The autonomous vehicle will follow a route set via the infotainment system and will be controlled to reach each destination at the appropriate time.

[1497] Input: Routing provided to the autonomous vehicle

[1498] Output: Autonomous vehicle travels to destination

[1499] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1500] This invention is a system including means for a user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, and means for displaying the generated time schedule to the user. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it has the function of adjusting the schedule based on emotion data.

[1501] System Configuration

[1502] 1. User Device:

[1503] It provides an interface for users to input their holiday plans. It can be used on devices such as smartphones, PCs, and tablets.

[1504] 2. Server:

[1505] A back-end system operates that acquires weather, traffic, and congestion information, generates an optimal time schedule based on user input, and analyzes emotional data using an emotion engine.

[1506] 3. Emotion Engine:

[1507] This system recognizes the user's emotions and collects and analyzes emotional data in real time. Based on this information, the time schedule is further optimized.

[1508] Program processing and explanation

[1509] User Input

[1510] The user operates the device and inputs the place they want to go, what they want to do, and the tasks they need to complete into the app. For example, the user inputs tasks such as "Tokyo," "picnic in the park," "shopping," and "dinner with family." This information is sent to the server.

[1511] Obtaining external information

[1512] The server retrieves the following external information based on the specified location:

[1513] 1. Weather information:

[1514] Weather information for the specified location is obtained through the weather data provider's API, including temperature, precipitation, and weather conditions (sunny / rainy / cloudy). This information is used to determine whether outdoor activities are appropriate.

[1515] 2. Traffic information:

[1516] Through the API of a traffic data provider, real-time traffic information for a specified area is obtained, including road congestion and public transport status, which can be used to help determine travel times and modes of transportation.

[1517] 3. Crowd Information:

[1518] Get real-time congestion information for a specified location through the API of a congestion data provider. Determine how busy a particular location is and use it to adjust schedules.

[1519] Recognizing and collecting emotion data

[1520] The emotion engine recognizes the user's emotions on the user's device and collects emotional data in real time. Sensors such as cameras and microphones are used to determine emotions from facial expressions and tone of voice. This emotional data is sent to a server and used to adjust schedules.

[1521] Generating an optimal schedule

[1522] The server integrates the user's input information, acquired external information, and emotional data to generate an optimal time schedule.

[1523] Examples:

[1524] Place the first task based on the current time (e.g., "Picnic in the Park" from 9:00 AM to 11:00 AM)

[1525] Automatically suggest alternative indoor activities if the weather is bad

[1526] An emotion engine analyzes the user's emotional state and adjusts the schedule accordingly (e.g., if the user is feeling stressed, it suggests relaxing activities).

[1527] Viewing Schedules

[1528] The generated optimal schedule is sent from the server to the user's terminal, which displays the schedule in a visually easy-to-understand format. The user can check the schedule and prepare for a fulfilling holiday.

[1529] Specific schedule example:

[1530] 9:00 - 11:00: Picnic in the park

[1531] Note: Due to poor weather, please consider changing your activities to indoors.

[1532] 11:30 - 13:00: Shopping

[1533] 18:00 - 19:00: Dinner with family

[1534] Additional suggestions based on your emotional state (e.g., relaxing massage, reading time)

[1535] This allows users to save time by collecting a lot of information and enjoy a fulfilling holiday with an optimal schedule that is adjusted according to their emotional state.

[1536] The processing flow will be explained below.

[1537] Step 1:

[1538] The user operates the device and launches the app. The user inputs the place they want to go, what they want to do, and the tasks they need to complete. Specifically, they input information such as "Tokyo," "picnic in the park," "shopping," and "dinner with family."

[1539] Step 2:

[1540] The terminal sends the user's input information to the server, which receives it and stores it for further processing.

[1541] Step 3:

[1542] The server obtains weather information by sending a request to the weather data provider's API to obtain the temperature, precipitation, and weather conditions for the specified location (e.g., Tokyo).

[1543] Step 4:

[1544] The server obtains traffic information by sending a request to the API of a traffic data provider to obtain real-time road congestion and public transport status for the specified location.

[1545] Step 5:

[1546] The server obtains congestion information, using the API of a congestion data provider to obtain the congestion level of a specified location in real time.

[1547] Step 6:

[1548] The user device uses an emotion engine to recognize the user's emotions and collects emotion data in real time. Sensors such as cameras and microphones are used to determine emotions from the user's facial expressions and tone of voice.

[1549] Step 7:

[1550] The device sends the recognized emotion data to a server, which receives the emotion data and stores it for analysis.

[1551] Step 8:

[1552] The server integrates user input, weather, traffic, congestion, and emotion data to generate an optimal time schedule. For example, if a user needs a relaxing activity at 3 p.m., the server will make suggestions appropriate for that time period.

[1553] Step 9:

[1554] The server places the first task based on the current time, for example, "Picnic in the Park" from 9:00 AM to 11:00 AM, and suggests alternative indoor activities if the weather is bad.

[1555] Step 10:

[1556] The server schedules the next task at the appropriate time slot, for example, 11:30 AM to 1:00 PM for "Shopping," adjusting accordingly based on the user's emotional data.

[1557] Step 11:

[1558] The server generates the final time schedule and ensures that the overall schedule is based on user input and real-time external information.

[1559] Step 12:

[1560] The server transmits the generated time schedule to the user terminal.

[1561] Step 13:

[1562] The schedule received by the user terminal is displayed in a visually easy-to-understand format, allowing the user to check the schedule and prepare for a fulfilling holiday.

[1563] Specific schedule example:

[1564] 9:00 - 11:00: Picnic in the park

[1565] Note: Due to poor weather, please consider changing your activities to indoors.

[1566] 11:30 - 13:00: Shopping

[1567] 18:00 - 19:00: Dinner with family

[1568] Additional suggestions based on your emotional state (e.g., relaxing massage, reading time)

[1569] Example 2

[1570] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1571] Conventional schedule generation systems allow users to input where they want to go and what they want to do, and obtain weather and traffic information, but they are unable to generate schedules that take into account the user's emotional state or real-time congestion conditions. Furthermore, there is a need for systems that can effectively process the large amount of information input by users and flexibly adjust schedules based on the user's emotions.

[1572] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1573] In this invention, the server includes means for the user to input places they want to go, things they want to do, and necessary tasks, means for acquiring weather information, traffic information, and congestion information, means for generating an optimal time schedule based on the information input by the user and the acquired information, means for recognizing the user's emotional data and adjusting the schedule, and means for displaying the generated time schedule to the user. This enables flexible and optimal schedule generation that takes into account the user's emotional state and real-time information.

[1574] "A means for users to input where they want to go, what they want to do, and the tasks they need to do" refers to an interface that allows users to input their desired locations, planned activities, and required tasks.

[1575] "Means for obtaining weather, traffic, and congestion information" refers to APIs and data connection technologies that collect weather, traffic, and congestion information from external information providers.

[1576] "Means for generating an optimal time schedule" refers to an algorithm or program that optimally allocates time and activities based on information input by the user and external information obtained.

[1577] "Means for displaying the generated time schedule to the user" refers to a screen or app function that visually displays the generated schedule on the user's device.

[1578] "Means for recognizing a user's emotional data and adjusting the schedule" refers to an algorithm or program that detects a user's emotional state and dynamically adjusts the schedule based on that data.

[1579] This invention provides an advanced scheduling system that can be used by users in their everyday lives. Its purpose is to input the places a user wants to go, the things they want to do, and the tasks they need to complete, acquire appropriate external information, and generate an optimal time schedule that also takes emotional data into account, and provide it to the user. A detailed description of specific embodiments of this invention follows.

[1580] Hardware and Software Configuration

[1581] User terminal

[1582] It requires a mobile device, such as a smartphone, PC, or tablet, that is operated by the user and provides an interface for the user to enter input.

[1583] server

[1584] The back-end system runs a server that collects weather, traffic, and congestion information and generates an optimal time schedule. The server also analyzes emotion data using an emotion engine. The following specific software and technologies are used:

[1585] Weather information acquisition: OpenWeatherMap API

[1586] Traffic information acquisition: Google Maps API

[1587] Obtaining congestion information: API of specific data provider

[1588] Emotion Engine

[1589] This is a system that recognizes the user's emotions. It uses sensors such as cameras and microphones to collect emotional data from facial expressions and tone of voice in real time, and software runs that sends the data to a server. For example, it uses facial recognition technology and voice analysis technology.

[1590] System Operation

[1591] Example of user input

[1592] The user inputs the travel destination as "Tokyo," the place they want to go to as "picnic in the park," the thing they want to do as "shopping," and the task they need to do as "dinner with family." This operation is performed through a smartphone app.

[1593] Obtaining external information

[1594] The server retrieves weather and traffic information via APIs based on the location information received from the user. For example, it retrieves weather data from the OpenWeatherMap API and traffic data from the Google Maps API.

[1595] Example of emotion data collection

[1596] The emotion engine uses the camera and microphone on the user's device to collect the user's emotional state in real time, determining whether the user is feeling stressed or relaxed, for example, and sends that data to a server.

[1597] Generate a schedule

[1598] The server combines the information entered by the user, external information acquired, and emotional data to generate an optimal time schedule. For example, a schedule might be constructed such as "9:00 - 11:00: Picnic in the park, 11:30 - 13:00: Shopping, 18:00 - 19:00: Dinner with family." If the weather is bad, the server will also suggest changing the "Picnic in the park" to "Activities in the shopping mall."

[1599] Viewing Schedules

[1600] The generated time schedule is sent from the server to the user's device and displayed in a visually easy-to-understand format on the application's user interface, allowing the user to check and adjust their daily schedule.

[1601] Prompt Sentence Examples

[1602] "Please write a description of a system that retrieves weather, traffic, and congestion information based on the places a user wants to go, things they want to do, and tasks they need to complete, and then generates and displays an optimal time schedule based on emotional data."

[1603] In this way, the present invention can provide a more individually optimized time schedule by taking into account the user's emotional state, and can save the user the trouble of collecting a lot of information, allowing them to manage their schedule efficiently and comfortably.

[1604] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1605] Step 1:

[1606] The user operates the device and inputs the places they want to go, the things they want to do, and the tasks they need to complete into a dedicated application. The input data includes locations (e.g., "Tokyo"), activities (e.g., "picnic in the park"), and tasks (e.g., "shopping" or "dinner with family"). The input information is sent from the user device to the server. To input information specifically, the user enters the information into a text box on the smartphone app and clicks the send button.

[1607] input:

[1608] User inputs where to go, what to do, and tasks required

[1609] output:

[1610] User-entered data sent to the server

[1611] Step 2:

[1612] The server receives the user's input data. The received data includes the places the user wants to go, the things they want to do, and the tasks they need to complete. Next, the server obtains external information (weather, traffic, and congestion information) through APIs based on the obtained location. Specifically, it obtains weather information using the OpenWeatherMap API, traffic information using the Google Maps API, and congestion information using the API of a specific data provider. The data obtained from each API is integrated on the server.

[1613] input:

[1614] User-entered data

[1615] output:

[1616] Obtained external information (weather information, traffic information, congestion information)

[1617] Step 3:

[1618] The server receives and analyzes the emotion data. The emotion engine recognizes the user's emotions on the user's device and collects emotion data in real time using a camera and microphone. The collected emotion data (e.g., stress level or degree of joy obtained from facial expressions and tone of voice) is sent from the user's device to the server. The emotion data is analyzed on the server.

[1619] input:

[1620] User emotional data (facial expressions, tone of voice)

[1621] output:

[1622] Analyzed sentiment data

[1623] Step 4:

[1624] The server generates an optimal time schedule based on all the information. Here, it integrates the user's input data, acquired external information, and analyzed emotional data, and uses an algorithm to create the optimal schedule. For example, if the weather is good, it will suggest a "picnic in the park," and if the weather is bad, it will suggest an "activity at the shopping mall." It also adds relaxing activities if the user is feeling stressed. The generated time schedule is saved as data on the server.

[1625] input:

[1626] User input data, external information obtained, and analyzed emotion data

[1627] output:

[1628] Generated optimal time schedule

[1629] Step 5:

[1630] The server sends the generated time schedule to the user's terminal. The server then formats the generated schedule in a visually easy-to-understand format and sends it to the user's terminal in a data format such as JSON or XML.

[1631] input:

[1632] Generated time schedule

[1633] output:

[1634] Time schedule sent to the user terminal

[1635] Step 6:

[1636] The user's device displays the received time schedule. The schedule is visually displayed on the device app and reflected in the interface in a way that is easy for the user to understand. The user can plan their daily life based on the displayed schedule.

[1637] input:

[1638] Time schedule sent from the server

[1639] output:

[1640] Time schedule displayed on the user's device

[1641] (Application example 2)

[1642] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1643] With conventional scheduling systems, even if users input where they want to go and what they want to do, it has been difficult to provide an optimal schedule that takes into account real-time external information (weather, traffic, congestion information) and the user's emotional state at that time. In particular, since general technology has not been able to reflect the user's emotional state in real time, there has been a demand for a system that allows users to travel and complete tasks efficiently without feeling stressed.

[1644] The specific processing 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: means for inputting the places the user wants to go, things they want to do, and necessary tasks; means for acquiring weather information, traffic information, and congestion information; means for generating an optimal time schedule based on the user's input information and the acquired information; means for displaying the generated time schedule to the user; means for recognizing the user's emotional state and collecting emotional data in real time; means for adjusting the schedule based on the emotional data; means for displaying the generated optimal time schedule on a visual device; and navigation means for optimizing the user's travel experience by acquiring external information and recognizing emotional data. This enables the user to obtain an optimal schedule that reflects external information and emotional state that change in real time, allowing them to travel and complete tasks comfortably.

[1645] "A means for users to input where they want to go, what they want to do, and the tasks they need to complete" refers to an interface that allows users to input where they want to go, what they want to do, and the tasks they need to complete through voice input or gesture control using smart glasses or other visual devices.

[1646] "Means for obtaining weather information, traffic information, and congestion information" refers to communication means for obtaining real-time weather, traffic conditions, and congestion information through an external API.

[1647] The "means for generating an optimal time schedule based on the information entered by the user and the information acquired" refers to an algorithm and an implementation device that integrates data entered by the user with real-time information acquired from an external API to generate an efficient and optimal schedule.

[1648] The "means for displaying the generated time schedule to the user" refers to a means for visually presenting the generated schedule to the user through a display of a visual device such as smart glasses.

[1649] "Means for recognizing the user's emotional state and collecting emotional data in real time" refers to technology that uses sensors such as cameras and microphones to analyze the user's emotional state from their facial expressions and voice, and collect data in real time.

[1650] The "means for adjusting the schedule based on the emotional data" refers to an algorithm and an apparatus for implementing the algorithm that dynamically changes the schedule based on the collected emotional data and readjusts it to a schedule that is most suited to the user's emotional state.

[1651] "Means for displaying the generated optimal time schedule on a visual device" refers to a means for visualizing the generated and adjusted optimal schedule to the user using a visual device such as smart glasses or a head-mounted display.

[1652] "Navigation means that optimizes the user's travel experience through the acquisition of external information and the recognition of emotional data" refers to a navigation system that suggests the most efficient and comfortable travel routes and activities to users based on traffic information, weather, congestion information, and even the user's emotional state.

[1653] The system for realizing this invention is composed of a user terminal, a server, an external data provider, and an emotion engine. Details of each component and the operation of the entire system are explained below.

[1654] System Configuration

[1655] User terminal

[1656] Smart glasses and head-mounted displays are used as user terminals. Users use these devices to input where they want to go, what they want to do, and the tasks they need to complete using voice or gestures. These devices also have cameras and microphones, which transmit the user's emotional state to the emotion engine in real time.

[1657] server

[1658] The server is responsible for the back-end system and performs the following main functions:

[1659] Obtaining weather, traffic, and congestion information

[1660] Generate optimal time schedules

[1661] Sentiment Data Analysis

[1662] Adjusting and regenerating schedules

[1663] The server uses a Python program to implement these functions. Specifically, it obtains weather information using the OpenWeather API, traffic information using the Google Maps API, and congestion information using the CrowdSense API. It also analyzes emotional data using Amazon Rekognition and adjusts the schedule according to the user's emotional state.

[1664] Emotion Engine

[1665] The emotion engine analyzes data collected from the user's device's camera and microphone to recognize the user's emotional state. It uses Amazon Rekognition to recognize facial expressions and analyze voice tones. The resulting emotional data is sent to the server and used to adjust the schedule.

[1666] Specific operation example

[1667] 1. User Input

[1668] The user puts on the smart glasses and speaks the words "Tokyo," "picnic in the park," "shopping," and "dinner with family."

[1669] Example prompt: "OK Glass, tell me what's on the agenda for today."

[1670] 2. Acquisition of information

[1671] The server uses the OpenWeather API to obtain weather data for Tokyo, the Google Maps API to obtain traffic information, and the CrowdSense API to obtain congestion information.

[1672] Example prompt: "OK Glass, what's your plan based on today's weather, traffic, and traffic conditions in Tokyo?"

[1673] 3. Collecting Emotional Data

[1674] It recognizes the user's facial expressions and voice and collects emotional data in real time using Amazon Rekognition. If the emotional data is recognized as "stress," the data is sent to the server.

[1675] Example prompt: "OK Glass, how are you feeling right now?"

[1676] 4. Schedule generation and adjustment

[1677] The server generates an optimal time schedule based on the user's input, external information, and emotional data. It suggests indoor activities if the weather is bad, and adds relaxing activities if the user is feeling stressed.

[1678] Example: "9:00 - 11:00: Picnic in the park (Note: Due to bad weather, please consider changing this to an indoor activity)."

[1679] 5. View schedule

[1680] The generated schedule is displayed on the smart glasses display, and the user visually checks the schedule and decides on the next action.

[1681] This allows users to enjoy an optimal schedule based on real-time changing external information and their own emotional state, enabling them to travel and perform tasks efficiently and comfortably.

[1682] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1683] Step 1:

[1684] The user puts on the smart glasses and uses voice or gesture input to input the places they want to go, the things they want to do, and the tasks they need to complete. For example, they might input "Tokyo," "picnic in the park," "shopping," or "dinner with family." The user's device collects this information and sends it to the server.

[1685] Input: Information entered by the user through voice input or gestures.

[1686] Output: Data on where you want to go, what you want to do, and the tasks you need to complete, sent to the server.

[1687] Step 2:

[1688] The server calls external APIs to retrieve weather, traffic, and congestion information based on the specified location, specifically the OpenWeather API, Google Maps API, and CrowdSense API.

[1689] Input: User-specified location information.

[1690] Output: Captured weather, traffic, and congestion data.

[1691] Specific operation: The server sends requests to each API to obtain real-time data. For example, it obtains weather information from the OpenWeather API, traffic information from the Google Maps API, and congestion information from the CrowdSense API.

[1692] Step 3:

[1693] Using the camera and microphone on the user's device, the user's facial expressions and tone of voice are transmitted to the emotion engine in real time to recognize their emotional state. This data is then analyzed using Amazon Rekognition.

[1694] Input: Real-time user facial and voice data collected through camera and microphone.

[1695] Output: Emotion data sent to the server.

[1696] How it works: The user's device uses a camera and microphone to collect facial expressions and tone of voice, then sends the data to an emotion engine (Amazon Rekognition) for analysis. The analysis results are then sent to the server.

[1697] Step 4:

[1698] The server combines information entered by the user, data obtained from external APIs, and emotion data obtained from the emotion engine to generate an optimal time schedule. The schedule is adjusted according to the weather and the user's emotional state.

[1699] Input: User input information, acquired weather, traffic and congestion information, and emotion data.

[1700] Output: Optimal time schedule.

[1701] How it works: The server runs an algorithm that generates an optimal schedule based on weather, traffic, crowding, and emotional data. If the emotional state is recognized as "stress," it adds relaxing activities to the schedule.

[1702] Step 5:

[1703] The optimal time schedule generated by the server is sent back to the user terminal and displayed on the display of the smart glasses.

[1704] Input: The optimal time schedule sent by the server.

[1705] Output: Schedule displayed on smart glasses.

[1706] What it does: The smart glasses display shows the schedule in a visually easy-to-understand format, allowing the user to easily see what to do next.

[1707] Example prompt: "OK Glass, what are your plans based on today's weather, traffic, and traffic conditions in Tokyo? I'm feeling stressed right now, so I'd like some suggestions for relaxing activities."

[1708] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1709] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1710] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1711] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1712] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1713] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1714] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1715] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1716] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1717] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1718] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1719] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1720] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1721] 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.

[1722] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1723] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1724] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1725] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1726] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1727] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1728] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1729] The following is further disclosed regarding the above embodiment.

[1730] (Claim 1)

[1731] A way for users to input where they want to go, what they want to do, and the tasks they need to complete.

[1732] A means for acquiring weather information, traffic information, and congestion information;

[1733] means for generating an optimal time schedule based on the information input by the user and the acquired information;

[1734] The system further comprises means for displaying the generated time schedule to a user.

[1735] (Claim 2)

[1736] 2. The system according to claim 1, further comprising means for determining whether outdoor activities are suitable or not based on the acquired weather information and notifying the user accordingly.

[1737] (Claim 3)

[1738] 2. The system according to claim 1, further comprising means for setting priorities and efficiently allocating tasks based on the information input by the user.

[1739] "Example 1"

[1740] (Claim 1)

[1741] A way for users to input where they want to go, what they want to do, and the tasks they need to complete.

[1742] A means for acquiring weather information, traffic information, and congestion information;

[1743] means for generating an optimal time schedule based on the information input by the user and the acquired information;

[1744] The system further comprises means for displaying the generated time schedule to a user.

[1745] (Claim 2)

[1746] 2. The system according to claim 1, further comprising means for optimizing a user's schedule based on the acquired weather information, traffic information, and congestion information.

[1747] (Claim 3)

[1748] 2. The system according to claim 1, further comprising means for determining whether outdoor activities are appropriate based on the weather information and for suggesting alternatives as appropriate.

[1749] (Claim 4)

[1750] The system according to claim 1, further comprising a means for setting priorities and efficiently allocating the multiple tasks input by the user, taking into consideration travel time based on acquired traffic information and congestion information.

[1751] "Application Example 1"

[1752] (Claim 1)

[1753] A way for users to input where they want to go, what they want to do, and the tasks they need to complete.

[1754] A means for acquiring weather information, traffic information, and congestion information;

[1755] means for generating an optimal time schedule based on the information input by the user and the acquired information;

[1756] means for displaying the generated time schedule to a user;

[1757] A means for reflecting the generated optimal schedule in the autonomous driving vehicle;

[1758] a means for the autonomous vehicle to travel according to a schedule;

[1759] A system including:

[1760] (Claim 2)

[1761] 2. The system according to claim 1, further comprising means for determining whether outdoor activities are suitable or not based on the acquired weather information and notifying the user accordingly.

[1762] (Claim 3)

[1763] 2. The system according to claim 1, further comprising means for setting priorities and efficiently allocating tasks based on the information input by the user.

[1764] "Example 2: Combining Emotion Engines"

[1765] (Claim 1)

[1766] A way for users to input where they want to go, what they want to do, and the tasks they need to complete.

[1767] A means for acquiring weather information, traffic information, and congestion information;

[1768] means for generating an optimal time schedule based on the information input by the user and the acquired information;

[1769] means for displaying the generated time schedule to a user;

[1770] The system includes a means for recognizing the emotion data of the user and adjusting the schedule.

[1771] (Claim 2)

[1772] 2. The system according to claim 1, further comprising means for determining whether outdoor activities are suitable or not based on the acquired weather information and notifying the user accordingly.

[1773] (Claim 3)

[1774] 2. The system according to claim 1, further comprising means for setting priorities and efficiently allocating tasks based on the information input by the user.

[1775] "Application example 2 when combining emotion engines"

[1776] (Claim 1)

[1777] A way for users to input where they want to go, what they want to do, and the tasks they need to complete.

[1778] A means for acquiring weather information, traffic information, and congestion information;

[1779] means for generating an optimal time schedule based on the information input by the user and the acquired information;

[1780] means for displaying the generated time schedule to a user;

[1781] means for recognizing a user's emotional state and collecting emotional data in real time;

[1782] means for adjusting a schedule based on the emotion data;

[1783] a means for displaying the generated optimal time schedule on a visual device;

[1784] A system including a navigation means for optimizing a user's travel experience through the acquisition of external information and the recognition of emotional data.

[1785] (Claim 2)

[1786] 2. The system according to claim 1, further comprising means for determining whether outdoor activities are suitable or not based on the acquired weather information and notifying the user accordingly.

[1787] (Claim 3)

[1788] 2. The system according to claim 1, further comprising means for setting priorities and efficiently allocating tasks based on the information input by the user. [Explanation of symbols]

[1789] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A way for users to input where they want to go, what they want to do, and the tasks they need to complete. A means for acquiring weather information, traffic information, and congestion information; means for generating an optimal time schedule based on the information input by the user and the acquired information; The system further comprises means for displaying the generated time schedule to a user.

2. 2. The system according to claim 1, further comprising means for determining whether outdoor activities are suitable or not based on the acquired weather information and notifying the user accordingly.

3. 2. The system according to claim 1, further comprising means for setting priorities and efficiently allocating tasks based on the information input by the user.

Images