system

Abstract

Provide a system. A method for receiving information input by a user; means for generating a daily schedule for a predetermined period based on the information; a means for displaying the generated schedule; A system including:

Description

[Technical Field]

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

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

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

[0004] It is extremely time-consuming for parents and educators to create schedules that allow children to efficiently complete their homework during the summer vacation. It is also difficult for children to independently create an optimal schedule that takes into account their own personalities and laziness. Furthermore, creating individual schedules tailored to each child's characteristics is a significant burden, especially for households and educational facilities with multiple children. Given these circumstances, there is a demand for a system that can automatically generate individual schedules based on each child's characteristics. [Means for solving the problem]

[0005] The present invention provides a system that receives information about a child entered by a user, generates a daily schedule for a specified period based on that information, and displays the generated schedule. Specifically, the system has a means for automatically generating an appropriate schedule based on the child's characteristics, based on the child's personality, laziness, and homework list entered by the user. This system adjusts the schedule according to each child's laziness, facilitating individual responses and reducing the burden on parents and educators.

[0006] "User" means an individual or organization that inputs information into the system and requests the generation of a schedule.

[0007] The "information" is a number of pieces of data about the child, including the child's personality, laziness, and homework list.

[0008] "Personality" refers to characteristics that indicate a child's behavior and thought patterns, such as "active" or "introverted."

[0009] "Laziness" refers to how actively a child works on homework and assignments and is expressed as "low," "medium," or "high."

[0010] "Homework" refers to the learning and assignments that children must complete during the summer vacation period.

[0011] A "schedule" indicates a child's daily activity plan for a given period of time.

[0012] "Means" refers to a method, device, program, etc. for achieving a specific purpose.

[0013] The "predetermined period" refers to the period for which a schedule is created, and refers to the start date and end date set by the user.

[0014] "Generating" means performing certain calculations and processing based on information received from the user to create a new schedule.

[0015] "Displaying" means allowing the user to visually check the generated schedule. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0024] [First embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0037] The present invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by the user. This system allows the user to easily create an optimal schedule that takes into account the child's personality and laziness.

[0038] The program for this system performs the following process: First, the user uses a terminal to input information about their child, including the child's name, personality, laziness habits, and homework list. The information entered by the user is sent to the server.

[0039] The server then uses the received child information to begin creating a schedule. Specifically, the process proceeds as follows:

[0040] 1. Receiving information: The server receives information about the child entered by the user. For example, the information received is that the child's name is "Taro," his personality is "active," and his laziness is "moderate." The homework list includes "1 page of math workbook," "Japanese book report," "science lab report," "home economics assignment," "social history study," and "English vocabulary test."

[0041] 2. Setting the start and end dates: The user sends the start and end dates of the schedule to the server using the terminal. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0042] 3. Schedule Generation: Based on the received information, the server generates a schedule from the start date to the end date, adjusting the daily homework assignments based on the child's laziness. For example, if the child's laziness is "medium," the server assigns two homework assignments per day.

[0043] 4. Creating a daily schedule: The server generates a daily schedule and adds the date and the activities (such as homework) to the list. For example, for the schedule for "2023-08-01," it assigns "1 page of math workbook" and "Japanese book report." Next, for the schedule for "2023-08-02," it assigns "science lab report" and "home economics assignment."

[0044] 5. Display schedule: The generated schedule is sent to the device and displayed for the user to check, allowing the user to easily see what their child should do on each day.

[0045] As a concrete example, let's look at an example of generating a schedule for Taro. Taro, who has a moderate tendency to be lazy, is assigned two homework assignments per day between the start date "2023-08-01" and the end date "2023-08-07". In this way, homework is assigned sequentially from the homework list.

[0046] For example, the schedule for "2023-08-01" might include "1 page of math workbook" and "Japanese book report," while the next day it might include "science lab report" and "home economics assignment." This process is repeated until all homework is completed.

[0047] This system allows users to easily create a summer vacation schedule that suits their child's characteristics, reducing the burden on parents and educators and allowing children to efficiently complete their homework under a well-managed schedule.

[0048] The processing flow will be explained below.

[0049] Step 1:

[0050] The user uses the terminal to enter information about the child, including the child's name, personality, laziness habits, and homework list. The user enters this information and presses the send button.

[0051] Step 2:

[0052] The terminal sends the information entered by the user to the server, including the child's name, personality, laziness habits, and homework list.

[0053] Step 3:

[0054] The server receives the information, which is then used as the primary data for generating the schedule.

[0055] Step 4:

[0056] The user inputs the start and end dates of the schedule using a terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0057] Step 5:

[0058] The server receives the start and end dates and begins generating the schedule. The start date is set to the current date (current_date).

[0059] Step 6:

[0060] The server begins a loop, processing dates from the current date to the end date.

[0061] Step 7:

[0062] The server determines the daily homework allocation based on the child's laziness: "low" laziness assigns three homework assignments per day, "medium" laziness assigns two homework assignments per day, and "high" laziness assigns one homework assignment per day.

[0063] Step 8:

[0064] The server takes the appropriate number of homework assignments from the child's homework list and adds them to the daily schedule.

[0065] Step 9:

[0066] The server saves the current date and the homework assigned for that day in a schedule list.

[0067] Step 10:

[0068] The server advances the current date by one day (current_date += timedelta(days=1)) and moves on to process the next date.

[0069] Step 11:

[0070] The server repeats the process for all dates up to the end date, until all homework has been assigned to the schedule list.

[0071] Step 12:

[0072] The server collectively transmits the generated schedule to the terminal.

[0073] Step 13:

[0074] The terminal displays the received schedule to the user, who can then check the generated schedule and confirm the child's homework plan.

[0075] Example 1

[0076] 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."

[0077] Conventional schedule generation systems have made it difficult to easily create an optimal schedule based on a child's personality and learning progress. Furthermore, parents and educators must manually create the schedule, which requires time and effort. The present invention aims to solve these problems by providing a system that automatically generates and displays an optimal schedule based on a child's personality and laziness.

[0078] 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.

[0079] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for generating a prompt sentence based on the information and sending a schedule generation request to the generative AI model, means for analyzing and formatting the schedule data received from the generative AI model, and means for displaying the generated schedule, thereby enabling a user to easily create an optimal schedule based on their child's personality and laziness.

[0080] A "user" is a person who operates the system to input a child's information and schedule periods.

[0081] "Information" is the input data needed to generate the schedule, such as the child's name, personality, laziness habits, and homework list.

[0082] A "schedule" is a plan that allocates homework and activities to be done each day during a child's summer vacation.

[0083] A "prompt sentence" is a specific command sentence used when sending a schedule generation request to a generative AI model.

[0084] A "generative AI model" is an artificial intelligence model that automatically generates an optimal schedule based on information entered by the user.

[0085] A "schedule generation request" is a request for schedule generation sent to a generative AI model via a prompt sentence.

[0086] The "generated schedule" is daily schedule data that is automatically generated, analyzed, and formatted by a generative AI model.

[0087] "Means" are devices or software components that a system has to realize a specific function.

[0088] The present invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by the user. This system allows the user to easily create an optimal schedule that takes into account the child's personality and laziness.

[0089] System Configuration

[0090] This system includes a terminal operated by the user, a server that processes and stores data, and a generative AI model. The specific hardware and software used are as follows:

[0091] Device: Personal computer, tablet, smartphone, etc. Provides an interface for users to input information about their child and schedule periods.

[0092] Server: Receives data, sends schedule generation requests, and analyzes and formats the generated schedule. The server is equipped with a high-performance CPU and memory, and has sufficient computing power to run the generative AI model.

[0093] Generative AI model: An artificial intelligence model that automatically generates optimal schedules based on information input by users, using natural language processing techniques and machine learning algorithms.

[0094] Processing flow

[0095] The processing flow of the system is explained below.

[0096] 1. Enter your user information

[0097] The user uses the terminal to input information about the child, such as the child's name, personality, laziness, homework list, etc. This information is then sent from the terminal to the server.

[0098] 2. Transmission of information

[0099] The information entered by the user is sent from the terminal to the server as an HTTP request, which is then received and stored in a database.

[0100] 3. Set the schedule period

[0101] The user inputs the start and end dates of the schedule into the terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0102] 4. Schedule Generation

[0103] The server generates a prompt based on the received child information and schedule period. Using this prompt, it sends a schedule generation request to the generative AI model. The model generates an optimal schedule based on the user's request and returns it to the server.

[0104] Example prompt sentence:

[0105] Create a summer vacation schedule for your child.

[0106] Name: Taro

[0107] Personality: Active

[0108] Laziness: Moderate

[0109] Start date: 2023-08-01

[0110] End date: 2023-08-07

[0111] Homework list:

[0112] Mathematics problem book page 1

[0113] Japanese book review

[0114] Science experiment report

[0115] Home economics assignments

[0116] Studying social history

[0117] English Vocabulary Test

[0118] 5. Create a daily schedule

[0119] The server analyzes the schedule data received from the generative AI model and formats it by date. For example, "2023-08-01" includes "1 page of math workbook" and "Japanese book report."

[0120] 6. View schedule

[0121] The generated schedule is sent from the server to the device and displayed on the screen for the user to check. The user can check "Page 1 of the math workbook" and "Japanese book report" as the schedule for "2023-08-01."

[0122] Specific examples

[0123] For example, if a user inputs "Taro", "2023-08-01", "2023-08-07", "active", "medium", and "homework list", the server will generate the following schedule:

[0124] 2023-08-01: 1 page of math workbook, Japanese book report

[0125] 2023-08-02: Science experiment reports, home economics assignments

[0126] In this way, users can easily create and check the optimal schedule for their child through their device. This system reduces the burden on parents and educators, and allows children to complete their homework efficiently.

[0127] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0128] Step 1:

[0129] The user uses the device to enter information about their child. Specifically, they enter the child's name, personality, laziness, and homework list in the input form displayed on the device. The user enters information such as "Taro," "active," "medium level," and "1 page of math workbook," and clicks the "Submit" button. The input data is sent from the device to the server in JSON format.

[0130] Input: Child's name, personality, laziness habits, homework list

[0131] Output: Sends input data to the server

[0132] Step 2:

[0133] The server receives the information sent from the device and stores it in a database. Specifically, it receives HTTP requests, analyzes the data contained therein, and stores it in a database. The server receives information such as the child's name, personality, laziness habits, and homework list.

[0134] Input: Information sent from the terminal (HTTP request)

[0135] Output: Information stored in the database

[0136] Step 3:

[0137] The user inputs the start and end dates of the schedule using the terminal and sends them to the server. For example, if the user selects the start date "2023-08-01" and the end date "2023-08-07" in the calendar input form and clicks the "Submit" button, this information is sent to the server.

[0138] Input: Schedule start and end dates

[0139] Output: Send schedule period data to the server

[0140] Step 4:

[0141] The server generates a prompt based on the received child information and schedule period. The generated prompt is used to send a schedule generation request to the generative AI model. The prompt includes the child's name, personality, laziness, schedule period, and homework list.

[0142] Input: Child information stored in the database, schedule period

[0143] Output: The prompt to send to the generative AI model

[0144] Step 5:

[0145] The generative AI model receives the prompt and generates an optimal schedule. The server analyzes the schedule data received from the generative AI model. Specifically, the server receives the generated schedule data in JSON format, analyzes it, and formats it by date. For example, it organizes the data so that "2023-08-01" includes "1 page of math workbook" and "Japanese book report."

[0146] Input: Schedule data from a generative AI model

[0147] Output: Analyzed and formatted daily schedule data

[0148] Step 6:

[0149] The generated schedule is sent from the server to the terminal and displayed on the screen for the user to check. For example, the user can check "Page 1 of the math workbook" and "Japanese book report" as the schedule for "2023-08-01." The server sends the analyzed and formatted schedule data to the terminal as an HTTP response.

[0150] Input: Analyzed and formatted daily schedule data

[0151] Output: Schedule displayed on the terminal

[0152] (Application example 1)

[0153] 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."

[0154] Traditionally, manually managing and creating children's summer vacation schedules has been cumbersome and a major burden for parents. Dynamic adjustments and real-time schedule confirmation have also been difficult, making it difficult to optimize children's learning efficiency. Furthermore, few systems offer an intuitive user interface for mobile devices, making them unsuitable for general use.

[0155] 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.

[0156] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for displaying the generated schedule, means for evenly allocating the schedule to each day based on the information input by the user and the start and end dates, and means for displaying the schedule on a mobile device. This allows parents to easily automatically generate their children's summer vacation study schedules and dynamically adjust and check them in real time.

[0157] "User-entered information" refers to data necessary for automatic schedule generation, such as children's names, personalities, laziness habits, and homework lists.

[0158] "Daily schedule for a specified period" refers to a list of scheduled learning and activities for each day from a start date to an end date specified by the user.

[0159] "Means for generating" refers to a mechanism that uses algorithms and programs within the server to create a schedule based on information entered by the user.

[0160] "Means for displaying the generated schedule" refers to an interface and device that displays the generated schedule in a form that can be viewed by the user.

[0161] "A method for evenly allocating schedules based on start and end dates" refers to a system that distributes homework and activities fairly within a specified period of time and adjusts schedules so that each day's workload is even.

[0162] "Mobile Device" refers to a portable electronic device such as a smartphone or tablet.

[0163] "Means for checking in real time" refers to a system that allows parents to instantly check and manage schedules through a dedicated application.

[0164] This invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by a user. Specifically, a user enters information such as the child's name, personality, laziness, and homework list, and a server generates an optimal schedule based on this information.

[0165] System configuration

[0166] The system consists of the following elements:

[0167] 1. User Device: A smartphone or tablet used by a parent or guardian to enter information. Examples include iOS and Android devices.

[0168] 2. Server: Receives information sent from user devices and generates a schedule. The server executes the schedule generation algorithm using a programming language such as Python. Flask or Django can be used as a web framework.

[0169] 3. Dedicated application: Software installed on the device that allows users to input and display schedules. Applications can be developed using React Native or Flutter (registered trademark).

[0170] Processing flow

[0171] 1. Enter your information:

[0172] Users launch a dedicated application and enter their child's name, personality, laziness habits, and homework list, as well as set start and end dates for the schedule.

[0173] 2. Data transmission:

[0174] Input information is sent from the user's device to the server, and the sent data is stored on the server as structured data in JSON format or similar.

[0175] 3. Generate the schedule:

[0176] The server then uses the information it receives to create a daily schedule for a given period, evenly distributing the homework list. For example, a Python program can be used to generate the schedule and adjust it so that each day is evenly distributed.

[0177] 4. View schedule:

[0178] The generated schedule is sent back to the user's device and displayed in real time through a dedicated application, allowing the user to check the schedule through a visual interface.

[0179] Usage example

[0180] For example, if you enter information about a child named Taro, the system will operate as follows:

[0181] Input: Child's name: Taro, personality: active, laziness: moderate, homework: 1 page of math workbook, Japanese book review, science lab report, home economics assignment, social studies history study, English vocabulary test

[0182] Schedule Generation: If the schedule start date is 2023-08-01 and end date is 2023-08-07, the system will assign two homework assignments per day and distribute them evenly so that the homework is completed every day.

[0183] Below is an example of a prompt sentence.

[0184] I want to automatically generate my child's summer vacation schedule.

[0185] Information: Name: Taro, Personality: Active, Laziness: Medium

[0186] Homework list: 1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test

[0187] Schedule start date: 2023-08-01

[0188] End date: 2023-08-07

[0189] Use this information to generate a schedule with two homework assignments per day.

[0190] In this way, the present invention enables parents to easily and automatically generate their children's summer vacation study schedules, and to dynamically adjust and check the schedules in real time.

[0191] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0192] Step 1:

[0193] The user launches the dedicated application and enters information about the child, including the child's name, personality, laziness habits, homework list, and schedule start and end dates. After completing the input, the user presses the "Submit" button.

[0194] Input: Child's name, personality, laziness habits, homework list, start date, end date

[0195] Output: The input information is saved in the device as structured data (e.g., JSON format).

[0196] Step 2:

[0197] Information entered from the user's terminal is sent to the server, where it is converted into an appropriate data format and temporarily stored.

[0198] Input: Structured input information (JSON format data)

[0199] Output: Input information saved on the server

[0200] Step 3:

[0201] The server starts the schedule generation process based on the received data: it calculates the total duration based on the start and end dates and runs an algorithm to evenly distribute the homework list.

[0202] Input: Input information stored on the server

[0203] Data processing: Calculating duration based on start and end dates, allocating homework

[0204] Output: Calculated daily schedule (e.g. homework assignments for each day)

[0205] Step 4:

[0206] The server restructures the generated schedule in JSON format and sends it to the user's device. This data includes a list of homework assigned for each day.

[0207] Input: Calculated daily schedule

[0208] Output: Structured schedule data (JSON format)

[0209] Step 5:

[0210] The user device analyzes the received schedule data using a dedicated application and displays it through a visual user interface (UI), allowing the user to check their schedule through the application.

[0211] Input: Structured schedule data

[0212] Output: A visual schedule display that users can check

[0213] Step 6:

[0214] Users can check the displayed schedule and make adjustments as necessary, and the dedicated application will send the changes to the server in real time and update the schedule again.

[0215] Input: Schedule information updated by the user

[0216] Output: Updated schedule redisplay

[0217] 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.

[0218] This invention relates to a system that automatically generates a child's summer vacation schedule, and by combining it with an emotion engine that recognizes the user's emotions, it adds a function to adjust the schedule based on the user's emotions. This system can generate and adjust the schedule by taking into account the emotional state of the child in addition to the information the user enters, thereby providing a more personalized schedule.

[0219] The program for this system performs the following process: First, the user uses a terminal to input information about their child, including the child's name, personality, laziness habits, and homework list. The information entered by the user is sent to the server.

[0220] The server then uses the received child information to begin creating a schedule. Specifically, the process proceeds as follows:

[0221] 1. Receiving information: The server receives information about the child entered by the user. For example, the information received is that the child's name is "Taro," his personality is "active," and his laziness is "moderate." The homework list includes "1 page of math workbook," "Japanese book report," "science lab report," "home economics assignment," "social history study," and "English vocabulary test."

[0222] 2. Emotion Recognition: When a user uses the device to input information about their child, the emotion engine recognizes the user's emotions from their facial expressions and voice. For example, if the user is feeling stressed, their emotional state will be recorded.

[0223] 3. Setting the start and end dates: The user sends the start and end dates of the schedule to the server using the terminal. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0224] 4. Schedule Generation: Based on the received information, the server generates a schedule from the start date to the end date, adjusting the daily homework assignments based on the child's laziness. For example, if the child's laziness is "medium," the server assigns two homework assignments per day.

[0225] 5. Emotion-based adjustment: Based on information from the emotion engine, the server adjusts the schedule, such as reducing the schedule if the user is feeling stressed, or increasing the difficulty if the user is highly motivated.

[0226] 6. Creating a daily schedule: The server generates a daily schedule and adds the date and the activities (such as homework) to the list. For example, for the schedule for "2023-08-01," it assigns "1 page of math workbook" and "Japanese book report." Next, for the schedule for "2023-08-02," it assigns "science lab report" and "home economics assignment."

[0227] 7. Display schedule: The generated schedule is sent to the device and displayed for the user to check, allowing the user to easily see what their child should do on each day.

[0228] As a concrete example, we will show an example of generating a schedule for Taro. Taro, who has a moderate tendency to be lazy, is assigned two homework assignments per day between the start date "2023-08-01" and the end date "2023-08-07". In this way, homework is assigned sequentially from the homework list. Furthermore, if the user is feeling stressed, the schedule is adjusted, such as reducing it.

[0229] This system allows users to easily create a summer vacation schedule that suits their child's characteristics and can even adjust it according to the user's emotional state. This reduces the burden on parents and educators, and allows children to efficiently complete their homework under a well-managed schedule.

[0230] The processing flow will be explained below.

[0231] Step 1:

[0232] The user uses the terminal to input information about the child, including the child's name, personality, laziness, and homework list. After inputting the information, the user presses the send button.

[0233] Step 2:

[0234] The device sends the information entered by the user to the server, including the child's name, personality, laziness habits, and homework list.

[0235] Step 3:

[0236] The server processes the received information, which is used as data for schedule generation and sentiment analysis.

[0237] Step 4:

[0238] The user inputs the start and end dates of the schedule using the terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0239] Step 5:

[0240] The server receives the start and end dates and starts generating the schedule. The start date is set to the current date (current_date).

[0241] Step 6:

[0242] When a user uses the device to input information about their child, the emotion engine recognizes the user's emotions from their facial expressions and voice, analyzing the level of stress and motivation the user is feeling.

[0243] Step 7:

[0244] The server starts a loop, processing dates from the current date to the end date.

[0245] Step 8:

[0246] The server determines the daily homework allocation based on the child's laziness: "low" laziness assigns three homework assignments per day, "medium" laziness assigns two homework assignments per day, and "high" laziness assigns one homework assignment per day.

[0247] Step 9:

[0248] The server takes the appropriate number of homework assignments from the child's homework list and adds them to the daily schedule.

[0249] Step 10:

[0250] The server adjusts the schedule based on the user's emotional state based on information from the emotion engine. For example, if the user is feeling stressed, the amount of homework is reduced, and if the user is highly motivated, the amount of homework is increased.

[0251] Step 11:

[0252] The server saves the current date and the homework assigned for that day in a schedule list.

[0253] Step 12:

[0254] The server advances the current date by one day (current_date += timedelta(days=1)) and moves on to process the next date.

[0255] Step 13:

[0256] The server repeats the process for all dates up to the end date until all homework has been assigned to the schedule list.

[0257] Step 14:

[0258] The server collectively transmits the generated schedule to the terminal.

[0259] Step 15:

[0260] The device displays the received schedule to the user, who can then review the generated schedule and manage their child's homework plan.

[0261] Example 2

[0262] 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."

[0263] Conventional automatic schedule generation systems only generate schedules based on information entered by the user and are unable to consider the user's emotional state. As a result, even when the user is feeling stressed or highly motivated, a uniform schedule is generated, making it difficult to provide a personalized and flexible schedule.

[0264] 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.

[0265] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for displaying the generated schedule, means for recognizing the emotional state of the user, and means for adjusting the schedule based on the emotional state, thereby enabling more personalized and flexible schedule generation according to the emotional state of the user.

[0266] A "user" is an entity that uses the system to input, check, and manage a child's schedule.

[0267] "Input information" refers to data such as the child's name, personality, laziness habits, and homework list that the user provides to the system through the terminal.

[0268] A "schedule" is a plan of activities and homework that a child should complete within a given period of time that can be generated, displayed, and adjusted.

[0269] "Emotional state" refers to the user's current mental and emotional condition, which the system recognizes and reflects in schedule adjustments.

[0270] "Means for Recognition" refers to the hardware and software used to detect and analyze a user's emotional state, such as a camera, microphone, or emotion analysis algorithms.

[0271] "Means for adjusting" refers to a function that changes the content and difficulty of the schedule based on the information entered by the user and the recognized emotional state.

[0272] "Terminal" refers to a device used by a user to input information and communicate with the system, including a personal computer or smartphone.

[0273] "Server" refers to the core computer system that receives input information, generates schedules, recognizes emotions, and adjusts schedules.

[0274] The present invention relates to a system that automatically generates and adjusts a child's summer vacation schedule based on user input and emotional state. The system combines the user's input information about the child with the user's emotional state to provide a personalized schedule.

[0275] System Configuration

[0276] The system mainly consists of the following components:

[0277] 1. A device that receives user input

[0278] 2. Servers that process information

[0279] 3. Emotion engine that recognizes user emotions

[0280] 4. Schedule Generation Algorithm

[0281] Hardware and Software

[0282] Terminal: A device used by a user to input information. Specifically, a PC, smartphone, tablet, etc. is used. A web browser or dedicated application runs on the terminal.

[0283] Server: A computer system that receives information, generates schedules, and coordinates them. The server is located on the cloud, and infrastructure such as Amazon Web Services (AWS (registered trademark)) is used.

[0284] Emotion engine: To recognize the user's emotions, emotion analysis software such as Microsoft® Azure® Emotion API and Google® Cloud Vision AI is used. The device's camera and microphone are used to detect the user's emotional state based on their facial expressions and voice.

[0285] Schedule Generation Algorithm: Implemented in Python, it generates schedules based on user input and emotion recognition data. Schedule assignment takes into account not only the child's personality, laziness, and homework list, but also the user's emotional state.

[0286] Operating Procedure

[0287] 1. User Input

[0288] Users use their devices to enter their children's names, personalities, lazy habits, and homework lists, which are then sent to a server via a web form or application, securely using the HTTPS protocol.

[0289] 2. Emotion recognition

[0290] When a user inputs information, the device's built-in emotion engine recognizes emotions from the user's facial expressions and voice. For example, it uses a camera or microphone to capture emotion data and analyzes it in real time.

[0291] 3. Schedule generation and adjustment

[0292] The server generates a schedule based on the received information and emotional data. First, it creates a basic schedule based on the child's information, and then adjusts it according to the user's emotional state. For example, if the user is stressed, it reduces the amount of homework, and if the user is highly motivated, it increases the difficulty level.

[0293] 4. View schedule

[0294] The final generated and adjusted schedule is sent from the server to the device and displayed for the user to review. This process includes a calendar view of the schedule details and a reminder function.

[0295] Specific examples

[0296] Suppose a user enters information about a child named "Taro" and the emotion engine recognizes that the user is stressed. The start date is set to "2023-08-01" and the end date to "2023-08-07." Taro, who has a moderate laziness tendency, is assigned two homework assignments per day. Because the emotion engine recognizes stress, the schedule becomes less difficult. For example, the schedule for "2023-08-01" is assigned "one page of math workbook" and "Japanese book report."

[0297] Prompt Sentence Examples

[0298] Auto-generate your child's schedule.

[0299] Child's name: Taro

[0300] Personality: Active

[0301] Laziness: Moderate

[0302] Homework list: 1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test

[0303] Schedule start date: 2023-08-01

[0304] Schedule end date: 2023-08-07

[0305] User's emotional state: stressed

[0306] This system allows users to easily create a suitable summer vacation schedule for their children and even personalize it based on the user's emotional state, thereby reducing the burden on parents and educators and allowing children to complete their homework efficiently.

[0307] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0308] Step 1:

[0309] User input of information

[0310] The user uses the terminal to input the child's name, personality, laziness, and homework list. The input contents include, for example, "Taro," "active," "moderate laziness," "one page of math workbook, a book report for Japanese, a science experiment report, a home economics assignment, a social studies history class, and an English vocabulary test." These inputs are made through a form in the user interface.

[0311] Input: Child's name, personality, laziness habits, homework list

[0312] Output: The input information is compiled as data to be sent to the server.

[0313] Step 2:

[0314] Sending information

[0315] When the user presses the submit button, the input information is sent to the server using the HTTPS protocol, with SSL / TLS encryption to ensure communication security.

[0316] Input: Information entered by the user

[0317] Output: Information sent to the server

[0318] Step 3:

[0319] Receiving and storing information on the server

[0320] The server receives the user information sent via HTTPS. The received information is stored in a database (for example, a MySQL database). The data format is also checked here.

[0321] Input: Submitted information

[0322] Output: Information stored in the database

[0323] Step 4:

[0324] emotion recognition

[0325] When a user inputs information, the emotion engine analyzes the user's facial expressions and voice using the device's camera and microphone, and recognizes the user's emotional state in real time using Microsoft Azure Emotion API and Google Cloud Vision AI.

[0326] Input: User's facial expression and voice data

[0327] Output: Perceived emotional state

[0328] Step 5:

[0329] Setting the schedule period

[0330] The user sets the start and end dates of the schedule using the terminal, for example, selecting the period from "2023-08-01" to "2023-08-07" and submitting it to the server.

[0331] Input: Schedule start date, end date

[0332] Output: Period setting information sent to the server

[0333] Step 6:

[0334] Server-based schedule generation

[0335] The server uses a schedule generation algorithm to create a schedule based on the received child information and schedule period. The algorithm, implemented in Python, determines the daily schedule by taking into account the child's personality, laziness, and homework list.

[0336] Input: Child information, schedule period

[0337] Output: Initial schedule

[0338] Step 7:

[0339] Emotion-based scheduling

[0340] The server takes into account information from the emotion engine and adjusts the generated schedule, for example reducing the amount of homework if the user is stressed and increasing the difficulty if the user is highly motivated.

[0341] Input: Initial schedule, emotional state

[0342] Output: Adjusted schedule

[0343] Step 8:

[0344] Daily schedule creation

[0345] The server divides the adjusted schedule into days and creates a homework list for each specific date. For example, the schedule for "2023-08-01" will be assigned "1 page of math workbook" and "Japanese book report."

[0346] Input: Adjusted Schedule

[0347] Output: Daily schedule list

[0348] Step 9:

[0349] Viewing Schedules

[0350] The final generated and adjusted schedule is sent from the server to the terminal and displayed so that the user can easily check it. The schedule is displayed in a calendar format on the user interface.

[0351] Input: Daily schedule list

[0352] Output: Schedule displayed on the terminal

[0353] (Application example 2)

[0354] 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."

[0355] Conventional summer vacation schedule generation systems have difficulty adjusting schedules based on children's personalities and laziness, and are unable to consider the user's emotional state. This increases the user's burden and can lead to a decrease in children's motivation to study. Furthermore, they lack integration with learning planning tools in virtual stores, making it difficult for parents and children to create efficient learning plans.

[0356] 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 receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for recognizing the user's emotions, means for adjusting the generated schedule based on the user's emotions, and means for displaying the generated schedule. This makes it possible to generate an optimal schedule for a child that takes the user's emotions into consideration. Furthermore, by integrating the generated schedule into a virtual store application, parents and children can efficiently plan their learning together.

[0357] "User-entered information" refers to data the system needs to generate a schedule, such as the child's personality, laziness habits, homework list, and start and end dates for the schedule.

[0358] "Daily schedule for a given period of time" refers to a plan that assigns tasks and activities for a child to complete each day within a period of time set by the user.

[0359] "User emotion" refers to psychological states such as stress, motivation, and fatigue that are detected by the emotion recognition engine from facial expressions and voice when the user inputs information.

[0360] The "means for recognizing emotions" is a component that provides the functionality to analyze the user's facial expressions and voice data and identify the user's emotional state.

[0361] The "adjustment means" is a component that provides the functionality to appropriately change the content and load of the generated schedule based on the user's emotional state.

[0362] The "display means" is a component that provides a function to visually present the generated or adjusted schedule so that the user can check it.

[0363] The "Virtual Store Application" is a digital platform that provides tools for parents and children to create learning plans together online.

[0364] "Installed on a device" refers to application software being installed on an electronic device such as a smartphone or tablet and being in a state where it can be operated on that device.

[0365] "Emotion recognition engine" refers to software or a system that analyzes image data or audio data to identify a user's emotional state.

[0366] This invention is a system that automatically generates and adjusts a child's schedule for a specified period of time, taking into account the user's emotional state using an emotion recognition engine, while allowing the user to input information about the child using a terminal. This system reduces the burden on the user and increases the child's motivation to learn.

[0367] System Configuration

[0368] The main components of this system are a terminal, a server, and an emotion recognition engine.

[0369] Device: A device where a user enters their child's information (name, personality, laziness habits, homework list) and the start and end dates of the schedule. This includes smartphones and tablets.

[0370] Server: A back-end system that generates schedules and adjusts them based on data from the emotion recognition engine.

[0371] Emotion recognition engine: Software or a system that analyzes a user's facial expressions and voice data to identify their emotional state.

[0372] Data Processing

[0373] The device sends the child's information and the schedule start and end dates entered by the user to the server. It also uses the device's built-in camera and microphone to collect the user's facial expressions and voice data, which are then analyzed by an emotion recognition engine. The server then performs the following processes:

[0374] 1. Schedule generation: The server generates a daily schedule for a given period based on the child's personality, laziness, and homework list.

[0375] 2. Emotion-based adjustment: The generated schedule is adjusted based on the user's emotional state (e.g., stress, motivation) obtained from an emotion recognition engine. For example, if the user is stressed, the amount of tasks per day is reduced, and if the user is highly motivated, additional tasks are added.

[0376] 3. Displaying the schedule: The final generated and adjusted schedule is sent to the terminal and displayed for the user to review.

[0377] Specific examples

[0378] As a concrete example, let us consider "Generating Taro's homework schedule." The user (parent) uses a terminal to enter the following information about their child:

[0379] Name: "Taro"

[0380] Personality: Active

[0381] Laziness: Moderate

[0382] Homework list: "One page of math workbook," "Japanese book report," "Science lab report," "Home economics assignment," "Social studies history study," "English vocabulary test"

[0383] Schedule start date: "2023-08-01"

[0384] End date: "2023-08-07"

[0385] Once the user has completed the input, an emotion recognition engine analyzes the user's emotional state from their facial expressions and voice, detecting, for example, "stress." The server then adjusts Taro's schedule based on this data, reducing the number of tasks assigned to each day. The final schedule is displayed on the device for the user to easily check.

[0386] Prompt Sentence Examples

[0387] "Generate a homework schedule for Taro based on the child information entered by the user using the emotion recognition engine. The start date is August 1, 2023, and the end date is August 7, 2023. Taro is active, has a moderate laziness tendency, and his homework includes [1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test]. The user is currently feeling stressed."

[0388] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0389] Step 1:

[0390] The user uses the terminal to input the child's information (name, personality, laziness habits, homework list) and the start and end dates of the schedule. This input information is sent to the server through the terminal's interface. After the user has entered the information, the terminal sends all of this data to the server by pressing the "Send" button. Input: Child's information, start date, end date. Output: Data sent to the server.

[0391] Step 2:

[0392] The server receives the child information and the start and end dates of the schedule sent by the user. The server analyzes the received data and prepares to generate the schedule. The data is saved in an appropriate format and passed to the schedule generation algorithm. Input: Data sent from the device. Output: Data passed to the schedule generation algorithm.

[0393] Step 3:

[0394] The emotion recognition engine uses the device's camera and microphone to collect the user's facial and voice data. The collected data is analyzed in real time to identify the user's emotional state (e.g., stress, positive, neutral). The results are sent to the server. Input: User's facial and voice data. Output: User's emotional state data.

[0395] Step 4:

[0396] The server generates a daily schedule for a given period based on the received child information and the user's emotional state data obtained from the emotion recognition engine. The schedule generation algorithm creates an optimal schedule based on the child's personality, laziness, and homework list. Input: Child information, user's emotional state data. Output: Generated schedule.

[0397] Step 5:

[0398] The server adjusts the generated schedule based on the user's emotional state. For example, if the user is feeling stressed, it reduces the amount of tasks per day, and if they are highly motivated, it adds additional tasks. The emotional state data is passed to a schedule adjustment algorithm, which adjusts the schedule accordingly. Input: Generated schedule, user's emotional state data. Output: Adjusted schedule.

[0399] Step 6:

[0400] The server sends the final generated and adjusted schedule to the terminal. The terminal receives the schedule and displays it so that the user can easily check it. The terminal interface has the function of displaying a list of tasks by day. Input: Adjusted schedule. Output: Schedule displayed on the terminal.

[0401] Step 7:

[0402] The user checks the schedule on the device and manually adjusts or adds additional information as necessary. The final schedule is confirmed with the user's confirmation and agreement. Input: Schedule on the device. Output: Schedule confirmed by the user.

[0403] 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.

[0404] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0405] 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.

[0406] [Second embodiment]

[0407] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0408] 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.

[0409] 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).

[0410] 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.

[0411] 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.

[0412] 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).

[0413] 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.

[0414] 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.

[0415] 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.

[0416] 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.

[0417] 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.

[0418] 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."

[0419] The present invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by the user. This system allows the user to easily create an optimal schedule that takes into account the child's personality and laziness.

[0420] The program for this system performs the following process: First, the user uses a terminal to input information about their child, including the child's name, personality, laziness habits, and homework list. The information entered by the user is sent to the server.

[0421] The server then uses the received child information to begin creating a schedule. Specifically, the process proceeds as follows:

[0422] 1. Receiving information: The server receives information about the child entered by the user. For example, the information received is that the child's name is "Taro," his personality is "active," and his laziness is "moderate." The homework list includes "1 page of math workbook," "Japanese book report," "science lab report," "home economics assignment," "social history study," and "English vocabulary test."

[0423] 2. Setting the start and end dates: The user sends the start and end dates of the schedule to the server using the terminal. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0424] 3. Schedule Generation: Based on the received information, the server generates a schedule from the start date to the end date, adjusting the daily homework assignments based on the child's laziness. For example, if the child's laziness is "medium," the server assigns two homework assignments per day.

[0425] 4. Creating a daily schedule: The server generates a daily schedule and adds the date and the activities (such as homework) to the list. For example, for the schedule for "2023-08-01," it assigns "1 page of math workbook" and "Japanese book report." Next, for the schedule for "2023-08-02," it assigns "science lab report" and "home economics assignment."

[0426] 5. Display schedule: The generated schedule is sent to the device and displayed for the user to check, allowing the user to easily see what their child should do on each day.

[0427] As a concrete example, let's look at an example of generating a schedule for Taro. Taro, who has a moderate tendency to be lazy, is assigned two homework assignments per day between the start date "2023-08-01" and the end date "2023-08-07". In this way, homework is assigned sequentially from the homework list.

[0428] For example, the schedule for "2023-08-01" might include "1 page of math workbook" and "Japanese book report," while the next day it might include "science lab report" and "home economics assignment." This process is repeated until all homework is completed.

[0429] This system allows users to easily create a summer vacation schedule that suits their child's characteristics, reducing the burden on parents and educators and allowing children to efficiently complete their homework under a well-managed schedule.

[0430] The processing flow will be explained below.

[0431] Step 1:

[0432] The user uses the terminal to enter information about the child, including the child's name, personality, laziness habits, and homework list. The user enters this information and presses the send button.

[0433] Step 2:

[0434] The terminal sends the information entered by the user to the server, including the child's name, personality, laziness habits, and homework list.

[0435] Step 3:

[0436] The server receives the information, which is then used as the primary data for generating the schedule.

[0437] Step 4:

[0438] The user inputs the start and end dates of the schedule using a terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0439] Step 5:

[0440] The server receives the start and end dates and begins generating the schedule. The start date is set to the current date (current_date).

[0441] Step 6:

[0442] The server begins a loop, processing dates from the current date to the end date.

[0443] Step 7:

[0444] The server determines the daily homework allocation based on the child's laziness: "low" laziness assigns three homework assignments per day, "medium" laziness assigns two homework assignments per day, and "high" laziness assigns one homework assignment per day.

[0445] Step 8:

[0446] The server takes the appropriate number of homework assignments from the child's homework list and adds them to the daily schedule.

[0447] Step 9:

[0448] The server saves the current date and the homework assigned for that day in a schedule list.

[0449] Step 10:

[0450] The server advances the current date by one day (current_date += timedelta(days=1)) and moves on to process the next date.

[0451] Step 11:

[0452] The server repeats the process for all dates up to the end date, until all homework has been assigned to the schedule list.

[0453] Step 12:

[0454] The server collectively transmits the generated schedule to the terminal.

[0455] Step 13:

[0456] The terminal displays the received schedule to the user, who can then check the generated schedule and confirm the child's homework plan.

[0457] Example 1

[0458] 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."

[0459] Conventional schedule generation systems have made it difficult to easily create an optimal schedule based on a child's personality and learning progress. Furthermore, parents and educators must manually create the schedule, which requires time and effort. The present invention aims to solve these problems by providing a system that automatically generates and displays an optimal schedule based on a child's personality and laziness.

[0460] 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.

[0461] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for generating a prompt sentence based on the information and sending a schedule generation request to the generative AI model, means for analyzing and formatting the schedule data received from the generative AI model, and means for displaying the generated schedule, thereby enabling a user to easily create an optimal schedule based on their child's personality and laziness.

[0462] A "user" is a person who operates the system to input a child's information and schedule periods.

[0463] "Information" is the input data needed to generate the schedule, such as the child's name, personality, laziness habits, and homework list.

[0464] A "schedule" is a plan that allocates homework and activities to be done each day during a child's summer vacation.

[0465] A "prompt sentence" is a specific command sentence used when sending a schedule generation request to a generative AI model.

[0466] A "generative AI model" is an artificial intelligence model that automatically generates an optimal schedule based on information entered by the user.

[0467] A "schedule generation request" is a request for schedule generation sent to a generative AI model via a prompt sentence.

[0468] The "generated schedule" is daily schedule data that is automatically generated, analyzed, and formatted by a generative AI model.

[0469] "Means" are devices or software components that a system has to realize a specific function.

[0470] The present invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by the user. This system allows the user to easily create an optimal schedule that takes into account the child's personality and laziness.

[0471] System Configuration

[0472] This system includes a terminal operated by the user, a server that processes and stores data, and a generative AI model. The specific hardware and software used are as follows:

[0473] Device: Personal computer, tablet, smartphone, etc. Provides an interface for users to input information about their child and schedule periods.

[0474] Server: Receives data, sends schedule generation requests, and analyzes and formats the generated schedule. The server is equipped with a high-performance CPU and memory, and has sufficient computing power to run the generative AI model.

[0475] Generative AI model: An artificial intelligence model that automatically generates optimal schedules based on information input by users, using natural language processing techniques and machine learning algorithms.

[0476] Processing flow

[0477] The processing flow of the system is explained below.

[0478] 1. Enter your user information

[0479] The user uses the terminal to input information about the child, such as the child's name, personality, laziness, homework list, etc. This information is then sent from the terminal to the server.

[0480] 2. Transmission of information

[0481] The information entered by the user is sent from the terminal to the server as an HTTP request, which is then received and stored in a database.

[0482] 3. Set the schedule period

[0483] The user inputs the start and end dates of the schedule into the terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0484] 4. Schedule Generation

[0485] The server generates a prompt based on the received child information and schedule period. Using this prompt, it sends a schedule generation request to the generative AI model. The model generates an optimal schedule based on the user's request and returns it to the server.

[0486] Example prompt sentence:

[0487] Create a summer vacation schedule for your child.

[0488] Name: Taro

[0489] Personality: Active

[0490] Laziness: Moderate

[0491] Start date: 2023-08-01

[0492] End date: 2023-08-07

[0493] Homework list:

[0494] Mathematics problem book page 1

[0495] Japanese book review

[0496] Science experiment report

[0497] Home economics assignments

[0498] Studying social history

[0499] English Vocabulary Test

[0500] 5. Create a daily schedule

[0501] The server analyzes the schedule data received from the generative AI model and formats it by date. For example, "2023-08-01" includes "1 page of math workbook" and "Japanese book report."

[0502] 6. View schedule

[0503] The generated schedule is sent from the server to the device and displayed on the screen for the user to check. The user can check "Page 1 of the math workbook" and "Japanese book report" as the schedule for "2023-08-01."

[0504] Specific examples

[0505] For example, if a user inputs "Taro", "2023-08-01", "2023-08-07", "active", "medium", and "homework list", the server will generate the following schedule:

[0506] 2023-08-01: 1 page of math workbook, Japanese book report

[0507] 2023-08-02: Science experiment reports, home economics assignments

[0508] In this way, users can easily create and check the optimal schedule for their child through their device. This system reduces the burden on parents and educators, and allows children to complete their homework efficiently.

[0509] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0510] Step 1:

[0511] The user uses the device to enter information about their child. Specifically, they enter the child's name, personality, laziness, and homework list in the input form displayed on the device. The user enters information such as "Taro," "active," "medium level," and "1 page of math workbook," and clicks the "Submit" button. The input data is sent from the device to the server in JSON format.

[0512] Input: Child's name, personality, laziness habits, homework list

[0513] Output: Sends input data to the server

[0514] Step 2:

[0515] The server receives the information sent from the device and stores it in a database. Specifically, it receives HTTP requests, analyzes the data contained therein, and stores it in a database. The server receives information such as the child's name, personality, laziness habits, and homework list.

[0516] Input: Information sent from the terminal (HTTP request)

[0517] Output: Information stored in the database

[0518] Step 3:

[0519] The user inputs the start and end dates of the schedule using the terminal and sends them to the server. For example, if the user selects the start date "2023-08-01" and the end date "2023-08-07" in the calendar input form and clicks the "Submit" button, this information is sent to the server.

[0520] Input: Schedule start and end dates

[0521] Output: Send schedule period data to the server

[0522] Step 4:

[0523] The server generates a prompt based on the received child information and schedule period. The generated prompt is used to send a schedule generation request to the generative AI model. The prompt includes the child's name, personality, laziness, schedule period, and homework list.

[0524] Input: Child information stored in the database, schedule period

[0525] Output: The prompt to send to the generative AI model

[0526] Step 5:

[0527] The generative AI model receives the prompt and generates an optimal schedule. The server analyzes the schedule data received from the generative AI model. Specifically, the server receives the generated schedule data in JSON format, analyzes it, and formats it by date. For example, it organizes the data so that "2023-08-01" includes "1 page of math workbook" and "Japanese book report."

[0528] Input: Schedule data from a generative AI model

[0529] Output: Analyzed and formatted daily schedule data

[0530] Step 6:

[0531] The generated schedule is sent from the server to the terminal and displayed on the screen for the user to check. For example, the user can check "Page 1 of the math workbook" and "Japanese book report" as the schedule for "2023-08-01." The server sends the analyzed and formatted schedule data to the terminal as an HTTP response.

[0532] Input: Analyzed and formatted daily schedule data

[0533] Output: Schedule displayed on the terminal

[0534] (Application example 1)

[0535] 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."

[0536] Traditionally, manually managing and creating children's summer vacation schedules has been cumbersome and a major burden for parents. Dynamic adjustments and real-time schedule confirmation have also been difficult, making it difficult to optimize children's learning efficiency. Furthermore, few systems offer an intuitive user interface for mobile devices, making them unsuitable for general use.

[0537] 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.

[0538] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for displaying the generated schedule, means for evenly allocating the schedule to each day based on the information input by the user and the start and end dates, and means for displaying the schedule on a mobile device. This allows parents to easily automatically generate their children's summer vacation study schedules and dynamically adjust and check them in real time.

[0539] "User-entered information" refers to data necessary for automatic schedule generation, such as children's names, personalities, laziness habits, and homework lists.

[0540] "Daily schedule for a specified period" refers to a list of scheduled learning and activities for each day from a start date to an end date specified by the user.

[0541] "Means for generating" refers to a mechanism that uses algorithms and programs within the server to create a schedule based on information entered by the user.

[0542] "Means for displaying the generated schedule" refers to an interface and device that displays the generated schedule in a form that can be viewed by the user.

[0543] "A method for evenly allocating schedules based on start and end dates" refers to a system that distributes homework and activities fairly within a specified period of time and adjusts schedules so that each day's workload is even.

[0544] "Mobile Device" refers to a portable electronic device such as a smartphone or tablet.

[0545] "Means for checking in real time" refers to a system that allows parents to instantly check and manage schedules through a dedicated application.

[0546] This invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by a user. Specifically, a user enters information such as the child's name, personality, laziness, and homework list, and a server generates an optimal schedule based on this information.

[0547] System configuration

[0548] The system consists of the following elements:

[0549] 1. User Device: The smartphone or tablet used by the parent or guardian to enter information, including, for example, iOS and Android devices.

[0550] 2. Server: Receives information sent from user devices and generates a schedule. The server executes the schedule generation algorithm using a programming language such as Python. Flask or Django can be used as a web framework.

[0551] 3. Dedicated application: Software installed on the device that allows users to input and display schedules. Applications can be developed using React Native or Flutter.

[0552] Processing flow

[0553] 1. Enter your information:

[0554] Users launch a dedicated application and enter their child's name, personality, laziness habits, and homework list, as well as set start and end dates for the schedule.

[0555] 2. Data transmission:

[0556] Input information is sent from the user's device to the server, and the sent data is stored on the server as structured data in JSON format or similar.

[0557] 3. Generate the schedule:

[0558] The server then uses the information it receives to create a daily schedule for a given period, evenly distributing the homework list. For example, a Python program can be used to generate the schedule and adjust it so that each day is evenly distributed.

[0559] 4. View schedule:

[0560] The generated schedule is sent back to the user's device and displayed in real time through a dedicated application, allowing the user to check the schedule through a visual interface.

[0561] Usage example

[0562] For example, if you enter information about a child named Taro, the system will operate as follows:

[0563] Input: Child's name: Taro, personality: active, laziness: moderate, homework: 1 page of math workbook, Japanese book review, science lab report, home economics assignment, social studies history study, English vocabulary test

[0564] Schedule Generation: If the schedule start date is 2023-08-01 and end date is 2023-08-07, the system will assign two homework assignments per day and distribute them evenly so that the homework is completed every day.

[0565] Below is an example of a prompt sentence.

[0566] I want to automatically generate my child's summer vacation schedule.

[0567] Information: Name: Taro, Personality: Active, Laziness: Medium

[0568] Homework list: 1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test

[0569] Schedule start date: 2023-08-01

[0570] End date: 2023-08-07

[0571] Use this information to generate a schedule with two homework assignments per day.

[0572] In this way, the present invention enables parents to easily and automatically generate their children's summer vacation study schedules, and to dynamically adjust and check the schedules in real time.

[0573] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0574] Step 1:

[0575] The user launches the dedicated application and enters information about the child, including the child's name, personality, laziness habits, homework list, and schedule start and end dates. After completing the input, the user presses the "Submit" button.

[0576] Input: Child's name, personality, laziness habits, homework list, start date, end date

[0577] Output: The input information is saved in the device as structured data (e.g., JSON format).

[0578] Step 2:

[0579] Information entered from the user's terminal is sent to the server, where it is converted into an appropriate data format and temporarily stored.

[0580] Input: Structured input information (JSON format data)

[0581] Output: Input information saved on the server

[0582] Step 3:

[0583] The server starts the schedule generation process based on the received data: it calculates the total duration based on the start and end dates and runs an algorithm to evenly distribute the homework list.

[0584] Input: Input information stored on the server

[0585] Data processing: Calculating duration based on start and end dates, allocating homework

[0586] Output: Calculated daily schedule (e.g. homework assignments for each day)

[0587] Step 4:

[0588] The server restructures the generated schedule in JSON format and sends it to the user's device. This data includes a list of homework assigned for each day.

[0589] Input: Calculated daily schedule

[0590] Output: Structured schedule data (JSON format)

[0591] Step 5:

[0592] The user device analyzes the received schedule data using a dedicated application and displays it through a visual user interface (UI), allowing the user to check their schedule through the application.

[0593] Input: Structured schedule data

[0594] Output: A visual schedule display that users can check

[0595] Step 6:

[0596] Users can check the displayed schedule and make adjustments as necessary, and the dedicated application will send the changes to the server in real time and update the schedule again.

[0597] Input: Schedule information updated by the user

[0598] Output: Updated schedule redisplay

[0599] 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.

[0600] This invention relates to a system that automatically generates a child's summer vacation schedule, and by combining it with an emotion engine that recognizes the user's emotions, it adds a function to adjust the schedule based on the user's emotions. This system can generate and adjust the schedule by taking into account the emotional state of the child in addition to the information the user enters, thereby providing a more personalized schedule.

[0601] The program for this system performs the following process: First, the user uses a terminal to input information about their child, including the child's name, personality, laziness habits, and homework list. The information entered by the user is sent to the server.

[0602] The server then uses the received child information to begin creating a schedule. Specifically, the process proceeds as follows:

[0603] 1. Receiving information: The server receives information about the child entered by the user. For example, the information received is that the child's name is "Taro," his personality is "active," and his laziness is "moderate." The homework list includes "1 page of math workbook," "Japanese book report," "science lab report," "home economics assignment," "social history study," and "English vocabulary test."

[0604] 2. Emotion Recognition: When a user uses the device to input information about their child, the emotion engine recognizes the user's emotions from their facial expressions and voice. For example, if the user is feeling stressed, their emotional state will be recorded.

[0605] 3. Setting the start and end dates: The user sends the start and end dates of the schedule to the server using the terminal. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0606] 4. Schedule Generation: Based on the received information, the server generates a schedule from the start date to the end date, adjusting the daily homework assignments based on the child's laziness. For example, if the child's laziness is "medium," the server assigns two homework assignments per day.

[0607] 5. Emotion-based adjustment: Based on information from the emotion engine, the server adjusts the schedule, such as reducing the schedule if the user is feeling stressed, or increasing the difficulty if the user is highly motivated.

[0608] 6. Creating a daily schedule: The server generates a daily schedule and adds the date and the activities (such as homework) to the list. For example, for the schedule for "2023-08-01," it assigns "1 page of math workbook" and "Japanese book report." Next, for the schedule for "2023-08-02," it assigns "science lab report" and "home economics assignment."

[0609] 7. Display schedule: The generated schedule is sent to the device and displayed for the user to check, allowing the user to easily see what their child should do on each day.

[0610] As a concrete example, we will show an example of generating a schedule for Taro. Taro, who has a moderate tendency to be lazy, is assigned two homework assignments per day between the start date "2023-08-01" and the end date "2023-08-07". In this way, homework is assigned sequentially from the homework list. Furthermore, if the user is feeling stressed, the schedule is adjusted, such as reducing it.

[0611] This system allows users to easily create a summer vacation schedule that suits their child's characteristics and can even adjust it according to the user's emotional state. This reduces the burden on parents and educators, and allows children to efficiently complete their homework under a well-managed schedule.

[0612] The processing flow will be explained below.

[0613] Step 1:

[0614] The user uses the terminal to input information about the child, including the child's name, personality, laziness, and homework list. After inputting the information, the user presses the send button.

[0615] Step 2:

[0616] The device sends the information entered by the user to the server, including the child's name, personality, laziness habits, and homework list.

[0617] Step 3:

[0618] The server processes the received information, which is used as data for schedule generation and sentiment analysis.

[0619] Step 4:

[0620] The user inputs the start and end dates of the schedule using the terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0621] Step 5:

[0622] The server receives the start and end dates and starts generating the schedule. The start date is set to the current date (current_date).

[0623] Step 6:

[0624] When a user uses the device to input information about their child, the emotion engine recognizes the user's emotions from their facial expressions and voice, analyzing the level of stress and motivation the user is feeling.

[0625] Step 7:

[0626] The server starts a loop, processing dates from the current date to the end date.

[0627] Step 8:

[0628] The server determines the daily homework allocation based on the child's laziness: "low" laziness assigns three homework assignments per day, "medium" laziness assigns two homework assignments per day, and "high" laziness assigns one homework assignment per day.

[0629] Step 9:

[0630] The server takes the appropriate number of homework assignments from the child's homework list and adds them to the daily schedule.

[0631] Step 10:

[0632] The server adjusts the schedule based on the user's emotional state based on information from the emotion engine. For example, if the user is feeling stressed, the amount of homework is reduced, and if the user is highly motivated, the amount of homework is increased.

[0633] Step 11:

[0634] The server saves the current date and the homework assigned for that day in a schedule list.

[0635] Step 12:

[0636] The server advances the current date by one day (current_date += timedelta(days=1)) and moves on to process the next date.

[0637] Step 13:

[0638] The server repeats the process for all dates up to the end date until all homework has been assigned to the schedule list.

[0639] Step 14:

[0640] The server collectively transmits the generated schedule to the terminal.

[0641] Step 15:

[0642] The device displays the received schedule to the user, who can then review the generated schedule and manage their child's homework plan.

[0643] Example 2

[0644] 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."

[0645] Conventional automatic schedule generation systems only generate schedules based on information entered by the user and are unable to consider the user's emotional state. As a result, even when the user is feeling stressed or highly motivated, a uniform schedule is generated, making it difficult to provide a personalized and flexible schedule.

[0646] 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.

[0647] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for displaying the generated schedule, means for recognizing the emotional state of the user, and means for adjusting the schedule based on the emotional state, thereby enabling more personalized and flexible schedule generation according to the emotional state of the user.

[0648] A "user" is an entity that uses the system to input, check, and manage a child's schedule.

[0649] "Input information" refers to data such as the child's name, personality, laziness habits, and homework list that the user provides to the system through the terminal.

[0650] A "schedule" is a plan of activities and homework that a child should complete within a given period of time that can be generated, displayed, and adjusted.

[0651] "Emotional state" refers to the user's current mental and emotional condition, which the system recognizes and reflects in schedule adjustments.

[0652] "Means for Recognition" refers to the hardware and software used to detect and analyze a user's emotional state, such as a camera, microphone, or emotion analysis algorithms.

[0653] "Means for adjusting" refers to a function that changes the content and difficulty of the schedule based on the information entered by the user and the recognized emotional state.

[0654] "Terminal" refers to a device used by a user to input information and communicate with the system, including a personal computer or smartphone.

[0655] "Server" refers to the core computer system that receives input information, generates schedules, recognizes emotions, and adjusts schedules.

[0656] The present invention relates to a system that automatically generates and adjusts a child's summer vacation schedule based on user input and emotional state. The system combines the user's input information about the child with the user's emotional state to provide a personalized schedule.

[0657] System Configuration

[0658] The system mainly consists of the following components:

[0659] 1. A device that receives user input

[0660] 2. Servers that process information

[0661] 3. Emotion engine that recognizes user emotions

[0662] 4. Schedule Generation Algorithm

[0663] Hardware and Software

[0664] Terminal: A device used by a user to input information. Specifically, a PC, smartphone, tablet, etc. is used. A web browser or dedicated application runs on the terminal.

[0665] Server: A computer system that receives information, generates schedules, and coordinates tasks. The server is located in the cloud, using infrastructure such as Amazon Web Services (AWS).

[0666] Emotion engine: To recognize the user's emotions, emotion analysis software such as Microsoft Azure Emotion API and Google Cloud Vision AI is used. The device's camera and microphone are used to detect the user's emotional state based on their facial expressions and voice.

[0667] Schedule Generation Algorithm: Implemented in Python, it generates schedules based on user input and emotion recognition data. Schedule assignment takes into account not only the child's personality, laziness, and homework list, but also the user's emotional state.

[0668] Operating Procedure

[0669] 1. User Input

[0670] Users use their devices to enter their children's names, personalities, lazy habits, and homework lists, which are then sent to a server via a web form or application, securely using the HTTPS protocol.

[0671] 2. Emotion recognition

[0672] When a user inputs information, the device's built-in emotion engine recognizes emotions from the user's facial expressions and voice. For example, it uses a camera or microphone to capture emotion data and analyzes it in real time.

[0673] 3. Schedule generation and adjustment

[0674] The server generates a schedule based on the received information and emotional data. First, it creates a basic schedule based on the child's information, and then adjusts it according to the user's emotional state. For example, if the user is stressed, it reduces the amount of homework, and if the user is highly motivated, it increases the difficulty level.

[0675] 4. View schedule

[0676] The final generated and adjusted schedule is sent from the server to the device and displayed for the user to review. This process includes a calendar view of the schedule details and a reminder function.

[0677] Specific examples

[0678] Suppose a user enters information about a child named "Taro" and the emotion engine recognizes that the user is stressed. The start date is set to "2023-08-01" and the end date to "2023-08-07." Taro, who has a moderate laziness tendency, is assigned two homework assignments per day. Because the emotion engine recognizes stress, the schedule becomes less difficult. For example, the schedule for "2023-08-01" is assigned "one page of math workbook" and "Japanese book report."

[0679] Prompt Sentence Examples

[0680] Auto-generate your child's schedule.

[0681] Child's name: Taro

[0682] Personality: Active

[0683] Laziness: Moderate

[0684] Homework list: 1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test

[0685] Schedule start date: 2023-08-01

[0686] Schedule end date: 2023-08-07

[0687] User's emotional state: stressed

[0688] This system allows users to easily create a suitable summer vacation schedule for their children and even personalize it based on the user's emotional state, thereby reducing the burden on parents and educators and allowing children to complete their homework efficiently.

[0689] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0690] Step 1:

[0691] User input of information

[0692] The user uses the terminal to input the child's name, personality, laziness, and homework list. The input contents include, for example, "Taro," "active," "moderate laziness," "one page of math workbook, a book report for Japanese, a science experiment report, a home economics assignment, a social studies history class, and an English vocabulary test." These inputs are made through a form in the user interface.

[0693] Input: Child's name, personality, laziness habits, homework list

[0694] Output: The input information is compiled as data to be sent to the server.

[0695] Step 2:

[0696] Sending information

[0697] When the user presses the submit button, the input information is sent to the server using the HTTPS protocol, with SSL / TLS encryption to ensure communication security.

[0698] Input: Information entered by the user

[0699] Output: Information sent to the server

[0700] Step 3:

[0701] Receiving and storing information on the server

[0702] The server receives the user's information sent via HTTPS and stores it in a database (e.g., a MySQL database), where the data is also checked for formatting.

[0703] Input: Submitted information

[0704] Output: Information stored in the database

[0705] Step 4:

[0706] emotion recognition

[0707] When a user inputs information, the emotion engine analyzes the user's facial expressions and voice using the device's camera and microphone, and recognizes the user's emotional state in real time using Microsoft Azure Emotion API and Google Cloud Vision AI.

[0708] Input: User's facial expression and voice data

[0709] Output: Perceived emotional state

[0710] Step 5:

[0711] Setting the schedule period

[0712] The user sets the start and end dates of the schedule using the terminal, for example, selecting the period from "2023-08-01" to "2023-08-07" and submitting it to the server.

[0713] Input: Schedule start date, end date

[0714] Output: Period setting information sent to the server

[0715] Step 6:

[0716] Server-based schedule generation

[0717] The server uses a schedule generation algorithm to create a schedule based on the received child information and schedule period. The algorithm, implemented in Python, determines the daily schedule by taking into account the child's personality, laziness, and homework list.

[0718] Input: Child information, schedule period

[0719] Output: Initial schedule

[0720] Step 7:

[0721] Emotion-based scheduling

[0722] The server takes into account information from the emotion engine and adjusts the generated schedule, for example reducing the amount of homework if the user is stressed and increasing the difficulty if the user is highly motivated.

[0723] Input: Initial schedule, emotional state

[0724] Output: Adjusted schedule

[0725] Step 8:

[0726] Daily schedule creation

[0727] The server divides the adjusted schedule into days and creates a homework list for each specific date. For example, the schedule for "2023-08-01" will be assigned "1 page of math workbook" and "Japanese book report."

[0728] Input: Adjusted Schedule

[0729] Output: Daily schedule list

[0730] Step 9:

[0731] Viewing Schedules

[0732] The final generated and adjusted schedule is sent from the server to the terminal and displayed so that the user can easily check it. The schedule is displayed in a calendar format on the user interface.

[0733] Input: Daily schedule list

[0734] Output: Schedule displayed on the terminal

[0735] (Application example 2)

[0736] 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."

[0737] Conventional summer vacation schedule generation systems have difficulty adjusting schedules based on children's personalities and laziness, and are unable to consider the user's emotional state. This increases the user's burden and can lead to a decrease in children's motivation to study. Furthermore, they lack integration with learning planning tools in virtual stores, making it difficult for parents and children to create efficient learning plans.

[0738] 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 receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for recognizing the user's emotions, means for adjusting the generated schedule based on the user's emotions, and means for displaying the generated schedule. This makes it possible to generate an optimal schedule for a child that takes the user's emotions into consideration. Furthermore, by integrating the generated schedule into a virtual store application, parents and children can efficiently plan their learning together.

[0739] "User-entered information" refers to data the system needs to generate a schedule, such as the child's personality, laziness habits, homework list, and start and end dates for the schedule.

[0740] "Daily schedule for a given period of time" refers to a plan that assigns tasks and activities for a child to complete each day within a period of time set by the user.

[0741] "User emotion" refers to psychological states such as stress, motivation, and fatigue that are detected by the emotion recognition engine from facial expressions and voice when the user inputs information.

[0742] The "means for recognizing emotions" is a component that provides the functionality to analyze the user's facial expressions and voice data and identify the user's emotional state.

[0743] The "adjustment means" is a component that provides the functionality to appropriately change the content and load of the generated schedule based on the user's emotional state.

[0744] The "display means" is a component that provides a function to visually present the generated or adjusted schedule so that the user can check it.

[0745] The "Virtual Store Application" is a digital platform that provides tools for parents and children to create learning plans together online.

[0746] "Installed on a device" refers to application software being installed on an electronic device such as a smartphone or tablet and being in a state where it can be operated on that device.

[0747] "Emotion recognition engine" refers to software or a system that analyzes image data or audio data to identify a user's emotional state.

[0748] This invention is a system that automatically generates and adjusts a child's schedule for a specified period of time, taking into account the user's emotional state using an emotion recognition engine, while allowing the user to input information about the child using a terminal. This system reduces the burden on the user and increases the child's motivation to learn.

[0749] System Configuration

[0750] The main components of this system are a terminal, a server, and an emotion recognition engine.

[0751] Device: A device where a user enters their child's information (name, personality, laziness habits, homework list) and the start and end dates of the schedule. This includes smartphones and tablets.

[0752] Server: A back-end system that generates schedules and adjusts them based on data from the emotion recognition engine.

[0753] Emotion recognition engine: Software or a system that analyzes a user's facial expressions and voice data to identify their emotional state.

[0754] Data Processing

[0755] The device sends the child's information and the schedule start and end dates entered by the user to the server. It also uses the device's built-in camera and microphone to collect the user's facial expressions and voice data, which are then analyzed by an emotion recognition engine. The server then performs the following processes:

[0756] 1. Schedule generation: The server generates a daily schedule for a given period based on the child's personality, laziness, and homework list.

[0757] 2. Emotion-based adjustment: The generated schedule is adjusted based on the user's emotional state (e.g., stress, motivation) obtained from an emotion recognition engine. For example, if the user is stressed, the amount of tasks per day is reduced, and if the user is highly motivated, additional tasks are added.

[0758] 3. Displaying the schedule: The final generated and adjusted schedule is sent to the terminal and displayed for the user to review.

[0759] Specific examples

[0760] As a concrete example, let us consider "Generating Taro's homework schedule." The user (parent) uses a terminal to enter the following information about their child:

[0761] Name: "Taro"

[0762] Personality: Active

[0763] Laziness: Moderate

[0764] Homework list: "One page of math workbook," "Japanese book report," "Science lab report," "Home economics assignment," "Social studies history study," "English vocabulary test"

[0765] Schedule start date: "2023-08-01"

[0766] End date: "2023-08-07"

[0767] Once the user has completed the input, an emotion recognition engine analyzes the user's emotional state from their facial expressions and voice, detecting, for example, "stress." The server then adjusts Taro's schedule based on this data, reducing the number of tasks assigned to each day. The final schedule is displayed on the device for the user to easily check.

[0768] Prompt Sentence Examples

[0769] "Generate a homework schedule for Taro based on the child information entered by the user using the emotion recognition engine. The start date is August 1, 2023, and the end date is August 7, 2023. Taro is active, has a moderate laziness tendency, and his homework includes [1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test]. The user is currently feeling stressed."

[0770] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0771] Step 1:

[0772] The user uses the terminal to input the child's information (name, personality, laziness habits, homework list) and the start and end dates of the schedule. This input information is sent to the server through the terminal's interface. After the user has entered the information, the terminal sends all of this data to the server by pressing the "Send" button. Input: Child's information, start date, end date. Output: Data sent to the server.

[0773] Step 2:

[0774] The server receives the child information and the start and end dates of the schedule sent by the user. The server analyzes the received data and prepares to generate the schedule. The data is saved in an appropriate format and passed to the schedule generation algorithm. Input: Data sent from the device. Output: Data passed to the schedule generation algorithm.

[0775] Step 3:

[0776] The emotion recognition engine uses the device's camera and microphone to collect the user's facial and voice data. The collected data is analyzed in real time to identify the user's emotional state (e.g., stress, positive, neutral). The results are sent to the server. Input: User's facial and voice data. Output: User's emotional state data.

[0777] Step 4:

[0778] The server generates a daily schedule for a given period based on the received child information and the user's emotional state data obtained from the emotion recognition engine. The schedule generation algorithm creates an optimal schedule based on the child's personality, laziness, and homework list. Input: Child information, user's emotional state data. Output: Generated schedule.

[0779] Step 5:

[0780] The server adjusts the generated schedule based on the user's emotional state. For example, if the user is feeling stressed, it reduces the amount of tasks per day, and if they are highly motivated, it adds additional tasks. The emotional state data is passed to a schedule adjustment algorithm, which adjusts the schedule accordingly. Input: Generated schedule, user's emotional state data. Output: Adjusted schedule.

[0781] Step 6:

[0782] The server sends the final generated and adjusted schedule to the terminal. The terminal receives the schedule and displays it so that the user can easily check it. The terminal interface has the function of displaying a list of tasks by day. Input: Adjusted schedule. Output: Schedule displayed on the terminal.

[0783] Step 7:

[0784] The user checks the schedule on the device and manually adjusts or adds additional information as necessary. The final schedule is confirmed with the user's confirmation and agreement. Input: Schedule on the device. Output: Schedule confirmed by the user.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] [Third embodiment]

[0789] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0790] 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.

[0791] 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).

[0792] 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.

[0793] 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.

[0794] 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).

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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."

[0801] The present invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by the user. This system allows the user to easily create an optimal schedule that takes into account the child's personality and laziness.

[0802] The program for this system performs the following process: First, the user uses a terminal to input information about their child, including the child's name, personality, laziness habits, and homework list. The information entered by the user is sent to the server.

[0803] The server then uses the received child information to begin creating a schedule. Specifically, the process proceeds as follows:

[0804] 1. Receiving information: The server receives information about the child entered by the user. For example, the information received is that the child's name is "Taro," his personality is "active," and his laziness is "moderate." The homework list includes "1 page of math workbook," "Japanese book report," "science lab report," "home economics assignment," "social history study," and "English vocabulary test."

[0805] 2. Setting the start and end dates: The user sends the start and end dates of the schedule to the server using the terminal. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0806] 3. Schedule Generation: Based on the received information, the server generates a schedule from the start date to the end date, adjusting the daily homework assignments based on the child's laziness. For example, if the child's laziness is "medium," the server assigns two homework assignments per day.

[0807] 4. Creating a daily schedule: The server generates a daily schedule and adds the date and the activities (such as homework) to the list. For example, for the schedule for "2023-08-01," it assigns "1 page of math workbook" and "Japanese book report." Next, for the schedule for "2023-08-02," it assigns "science lab report" and "home economics assignment."

[0808] 5. Display schedule: The generated schedule is sent to the device and displayed for the user to check, allowing the user to easily see what their child should do on each day.

[0809] As a concrete example, let's look at an example of generating a schedule for Taro. Taro, who has a moderate tendency to be lazy, is assigned two homework assignments per day between the start date "2023-08-01" and the end date "2023-08-07". In this way, homework is assigned sequentially from the homework list.

[0810] For example, the schedule for "2023-08-01" might include "1 page of math workbook" and "Japanese book report," while the next day it might include "science lab report" and "home economics assignment." This process is repeated until all homework is completed.

[0811] This system allows users to easily create a summer vacation schedule that suits their child's characteristics, reducing the burden on parents and educators and allowing children to efficiently complete their homework under a well-managed schedule.

[0812] The processing flow will be explained below.

[0813] Step 1:

[0814] The user uses the terminal to enter information about the child, including the child's name, personality, laziness habits, and homework list. The user enters this information and presses the send button.

[0815] Step 2:

[0816] The terminal sends the information entered by the user to the server, including the child's name, personality, laziness habits, and homework list.

[0817] Step 3:

[0818] The server receives the information, which is then used as the primary data for generating the schedule.

[0819] Step 4:

[0820] The user inputs the start and end dates of the schedule using a terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0821] Step 5:

[0822] The server receives the start and end dates and begins generating the schedule. The start date is set to the current date (current_date).

[0823] Step 6:

[0824] The server begins a loop, processing dates from the current date to the end date.

[0825] Step 7:

[0826] The server determines the daily homework allocation based on the child's laziness: "low" laziness assigns three homework assignments per day, "medium" laziness assigns two homework assignments per day, and "high" laziness assigns one homework assignment per day.

[0827] Step 8:

[0828] The server takes the appropriate number of homework assignments from the child's homework list and adds them to the daily schedule.

[0829] Step 9:

[0830] The server saves the current date and the homework assigned for that day in a schedule list.

[0831] Step 10:

[0832] The server advances the current date by one day (current_date += timedelta(days=1)) and moves on to process the next date.

[0833] Step 11:

[0834] The server repeats the process for all dates up to the end date, until all homework has been assigned to the schedule list.

[0835] Step 12:

[0836] The server collectively transmits the generated schedule to the terminal.

[0837] Step 13:

[0838] The terminal displays the received schedule to the user, who can then check the generated schedule and confirm the child's homework plan.

[0839] Example 1

[0840] 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."

[0841] Conventional schedule generation systems have made it difficult to easily create an optimal schedule based on a child's personality and learning progress. Furthermore, parents and educators must manually create the schedule, which requires time and effort. The present invention aims to solve these problems by providing a system that automatically generates and displays an optimal schedule based on a child's personality and laziness.

[0842] 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.

[0843] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for generating a prompt sentence based on the information and sending a schedule generation request to the generative AI model, means for analyzing and formatting the schedule data received from the generative AI model, and means for displaying the generated schedule, thereby enabling a user to easily create an optimal schedule based on their child's personality and laziness.

[0844] A "user" is a person who operates the system to input a child's information and schedule periods.

[0845] "Information" is the input data needed to generate the schedule, such as the child's name, personality, laziness habits, and homework list.

[0846] A "schedule" is a plan that allocates homework and activities to be done each day during a child's summer vacation.

[0847] A "prompt sentence" is a specific command sentence used when sending a schedule generation request to a generative AI model.

[0848] A "generative AI model" is an artificial intelligence model that automatically generates an optimal schedule based on information entered by the user.

[0849] A "schedule generation request" is a request for schedule generation sent to a generative AI model via a prompt sentence.

[0850] The "generated schedule" is daily schedule data that is automatically generated, analyzed, and formatted by a generative AI model.

[0851] "Means" are devices or software components that a system has to realize a specific function.

[0852] The present invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by the user. This system allows the user to easily create an optimal schedule that takes into account the child's personality and laziness.

[0853] System Configuration

[0854] This system includes a terminal operated by the user, a server that processes and stores data, and a generative AI model. The specific hardware and software used are as follows:

[0855] Device: Personal computer, tablet, smartphone, etc. Provides an interface for users to input information about their child and schedule periods.

[0856] Server: Receives data, sends schedule generation requests, and analyzes and formats the generated schedule. The server is equipped with a high-performance CPU and memory, and has sufficient computing power to run the generative AI model.

[0857] Generative AI model: An artificial intelligence model that automatically generates optimal schedules based on information input by users, using natural language processing techniques and machine learning algorithms.

[0858] Processing flow

[0859] The processing flow of the system is explained below.

[0860] 1. Enter your user information

[0861] The user uses the terminal to input information about the child, such as the child's name, personality, laziness, homework list, etc. This information is then sent from the terminal to the server.

[0862] 2. Transmission of information

[0863] The information entered by the user is sent from the terminal to the server as an HTTP request, which is then received and stored in a database.

[0864] 3. Set the schedule period

[0865] The user inputs the start and end dates of the schedule into the terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0866] 4. Schedule Generation

[0867] The server generates a prompt based on the received child information and schedule period. Using this prompt, it sends a schedule generation request to the generative AI model. The model generates an optimal schedule based on the user's request and returns it to the server.

[0868] Example prompt sentence:

[0869] Create a summer vacation schedule for your child.

[0870] Name: Taro

[0871] Personality: Active

[0872] Laziness: Moderate

[0873] Start date: 2023-08-01

[0874] End date: 2023-08-07

[0875] Homework list:

[0876] Mathematics problem book page 1

[0877] Japanese book review

[0878] Science experiment report

[0879] Home economics assignments

[0880] Studying social history

[0881] English Vocabulary Test

[0882] 5. Create a daily schedule

[0883] The server analyzes the schedule data received from the generative AI model and formats it by date. For example, "2023-08-01" includes "1 page of math workbook" and "Japanese book report."

[0884] 6. View schedule

[0885] The generated schedule is sent from the server to the device and displayed on the screen for the user to check. The user can check "Page 1 of the math workbook" and "Japanese book report" as the schedule for "2023-08-01."

[0886] Specific examples

[0887] For example, if a user inputs "Taro", "2023-08-01", "2023-08-07", "active", "medium", and "homework list", the server will generate the following schedule:

[0888] 2023-08-01: 1 page of math workbook, Japanese book report

[0889] 2023-08-02: Science experiment reports, home economics assignments

[0890] In this way, users can easily create and check the optimal schedule for their child through their device. This system reduces the burden on parents and educators, and allows children to complete their homework efficiently.

[0891] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0892] Step 1:

[0893] The user uses the device to enter information about their child. Specifically, they enter the child's name, personality, laziness, and homework list in the input form displayed on the device. The user enters information such as "Taro," "active," "medium level," and "1 page of math workbook," and clicks the "Submit" button. The input data is sent from the device to the server in JSON format.

[0894] Input: Child's name, personality, laziness habits, homework list

[0895] Output: Sends input data to the server

[0896] Step 2:

[0897] The server receives the information sent from the device and stores it in a database. Specifically, it receives HTTP requests, analyzes the data contained therein, and stores it in a database. The server receives information such as the child's name, personality, laziness habits, and homework list.

[0898] Input: Information sent from the terminal (HTTP request)

[0899] Output: Information stored in the database

[0900] Step 3:

[0901] The user inputs the start and end dates of the schedule using the terminal and sends them to the server. For example, if the user selects the start date "2023-08-01" and the end date "2023-08-07" in the calendar input form and clicks the "Submit" button, this information is sent to the server.

[0902] Input: Schedule start and end dates

[0903] Output: Send schedule period data to the server

[0904] Step 4:

[0905] The server generates a prompt based on the received child information and schedule period. The generated prompt is used to send a schedule generation request to the generative AI model. The prompt includes the child's name, personality, laziness, schedule period, and homework list.

[0906] Input: Child information stored in the database, schedule period

[0907] Output: The prompt to send to the generative AI model

[0908] Step 5:

[0909] The generative AI model receives the prompt and generates an optimal schedule. The server analyzes the schedule data received from the generative AI model. Specifically, the server receives the generated schedule data in JSON format, analyzes it, and formats it by date. For example, it organizes the data so that "2023-08-01" includes "1 page of math workbook" and "Japanese book report."

[0910] Input: Schedule data from a generative AI model

[0911] Output: Analyzed and formatted daily schedule data

[0912] Step 6:

[0913] The generated schedule is sent from the server to the terminal and displayed on the screen for the user to check. For example, the user can check "Page 1 of the math workbook" and "Japanese book report" as the schedule for "2023-08-01." The server sends the analyzed and formatted schedule data to the terminal as an HTTP response.

[0914] Input: Analyzed and formatted daily schedule data

[0915] Output: Schedule displayed on the terminal

[0916] (Application example 1)

[0917] 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."

[0918] Traditionally, manually managing and creating children's summer vacation schedules has been cumbersome and a major burden for parents. Dynamic adjustments and real-time schedule confirmation have also been difficult, making it difficult to optimize children's learning efficiency. Furthermore, few systems offer an intuitive user interface for mobile devices, making them unsuitable for general use.

[0919] 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.

[0920] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for displaying the generated schedule, means for evenly allocating the schedule to each day based on the information input by the user and the start and end dates, and means for displaying the schedule on a mobile device. This allows parents to easily automatically generate their children's summer vacation study schedules and dynamically adjust and check them in real time.

[0921] "User-entered information" refers to data necessary for automatic schedule generation, such as children's names, personalities, laziness habits, and homework lists.

[0922] "Daily schedule for a specified period" refers to a list of scheduled learning and activities for each day from a start date to an end date specified by the user.

[0923] "Means for generating" refers to a mechanism that uses algorithms and programs within the server to create a schedule based on information entered by the user.

[0924] "Means for displaying the generated schedule" refers to an interface and device that displays the generated schedule in a form that can be viewed by the user.

[0925] "A method for evenly allocating schedules based on start and end dates" refers to a system that distributes homework and activities fairly within a specified period of time and adjusts schedules so that each day's workload is even.

[0926] "Mobile Device" refers to a portable electronic device such as a smartphone or tablet.

[0927] "Means for checking in real time" refers to a system that allows parents to instantly check and manage schedules through a dedicated application.

[0928] This invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by a user. Specifically, a user enters information such as the child's name, personality, laziness, and homework list, and a server generates an optimal schedule based on this information.

[0929] System configuration

[0930] The system consists of the following elements:

[0931] 1. User Device: The smartphone or tablet used by the parent or guardian to enter information, including, for example, iOS and Android devices.

[0932] 2. Server: Receives information sent from user devices and generates a schedule. The server executes the schedule generation algorithm using a programming language such as Python. Flask or Django can be used as a web framework.

[0933] 3. Dedicated application: Software installed on the device that allows users to input and display schedules. Applications can be developed using React Native or Flutter.

[0934] Processing flow

[0935] 1. Enter your information:

[0936] Users launch a dedicated application and enter their child's name, personality, laziness habits, and homework list, as well as set start and end dates for the schedule.

[0937] 2. Data transmission:

[0938] Input information is sent from the user's device to the server, and the sent data is stored on the server as structured data in JSON format or similar.

[0939] 3. Generate the schedule:

[0940] The server then uses the information it receives to create a daily schedule for a given period, evenly distributing the homework list. For example, a Python program can be used to generate the schedule and adjust it so that each day is evenly distributed.

[0941] 4. View schedule:

[0942] The generated schedule is sent back to the user's device and displayed in real time through a dedicated application, allowing the user to check the schedule through a visual interface.

[0943] Usage example

[0944] For example, if you enter information about a child named Taro, the system will operate as follows:

[0945] Input: Child's name: Taro, personality: active, laziness: moderate, homework: 1 page of math workbook, Japanese book review, science lab report, home economics assignment, social studies history study, English vocabulary test

[0946] Schedule Generation: If the schedule start date is 2023-08-01 and end date is 2023-08-07, the system will assign two homework assignments per day and distribute them evenly so that the homework is completed every day.

[0947] Below is an example of a prompt sentence.

[0948] I want to automatically generate my child's summer vacation schedule.

[0949] Information: Name: Taro, Personality: Active, Laziness: Medium

[0950] Homework list: 1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test

[0951] Schedule start date: 2023-08-01

[0952] End date: 2023-08-07

[0953] Use this information to generate a schedule with two homework assignments per day.

[0954] In this way, the present invention enables parents to easily and automatically generate their children's summer vacation study schedules, and to dynamically adjust and check the schedules in real time.

[0955] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0956] Step 1:

[0957] The user launches the dedicated application and enters information about the child, including the child's name, personality, laziness habits, homework list, and schedule start and end dates. After completing the input, the user presses the "Submit" button.

[0958] Input: Child's name, personality, laziness habits, homework list, start date, end date

[0959] Output: The input information is saved in the device as structured data (e.g., JSON format).

[0960] Step 2:

[0961] Information entered from the user's terminal is sent to the server, where it is converted into an appropriate data format and temporarily stored.

[0962] Input: Structured input information (JSON format data)

[0963] Output: Input information saved on the server

[0964] Step 3:

[0965] The server starts the schedule generation process based on the received data: it calculates the total duration based on the start and end dates and runs an algorithm to evenly distribute the homework list.

[0966] Input: Input information stored on the server

[0967] Data processing: Calculating duration based on start and end dates, allocating homework

[0968] Output: Calculated daily schedule (e.g. homework assignments for each day)

[0969] Step 4:

[0970] The server restructures the generated schedule in JSON format and sends it to the user's device. This data includes a list of homework assigned for each day.

[0971] Input: Calculated daily schedule

[0972] Output: Structured schedule data (JSON format)

[0973] Step 5:

[0974] The user device analyzes the received schedule data using a dedicated application and displays it through a visual user interface (UI), allowing the user to check their schedule through the application.

[0975] Input: Structured schedule data

[0976] Output: A visual schedule display that users can check

[0977] Step 6:

[0978] Users can check the displayed schedule and make adjustments as necessary, and the dedicated application will send the changes to the server in real time and update the schedule again.

[0979] Input: Schedule information updated by the user

[0980] Output: Updated schedule redisplay

[0981] 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.

[0982] This invention relates to a system that automatically generates a child's summer vacation schedule, and by combining it with an emotion engine that recognizes the user's emotions, it adds a function to adjust the schedule based on the user's emotions. This system can generate and adjust the schedule by taking into account the emotional state of the child in addition to the information the user enters, thereby providing a more personalized schedule.

[0983] The program for this system performs the following process: First, the user uses a terminal to input information about their child, including the child's name, personality, laziness habits, and homework list. The information entered by the user is sent to the server.

[0984] The server then uses the received child information to begin creating a schedule. Specifically, the process proceeds as follows:

[0985] 1. Receiving information: The server receives information about the child entered by the user. For example, the information received is that the child's name is "Taro," his personality is "active," and his laziness is "moderate." The homework list includes "1 page of math workbook," "Japanese book report," "science lab report," "home economics assignment," "social history study," and "English vocabulary test."

[0986] 2. Emotion Recognition: When a user uses the device to input information about their child, the emotion engine recognizes the user's emotions from their facial expressions and voice. For example, if the user is feeling stressed, their emotional state will be recorded.

[0987] 3. Setting the start and end dates: The user sends the start and end dates of the schedule to the server using the terminal. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[0988] 4. Schedule Generation: Based on the received information, the server generates a schedule from the start date to the end date, adjusting the daily homework assignments based on the child's laziness. For example, if the child's laziness is "medium," the server assigns two homework assignments per day.

[0989] 5. Emotion-based adjustment: Based on information from the emotion engine, the server adjusts the schedule, such as reducing the schedule if the user is feeling stressed, or increasing the difficulty if the user is highly motivated.

[0990] 6. Creating a daily schedule: The server generates a daily schedule and adds the date and the activities (such as homework) to the list. For example, for the schedule for "2023-08-01," it assigns "1 page of math workbook" and "Japanese book report." Next, for the schedule for "2023-08-02," it assigns "science lab report" and "home economics assignment."

[0991] 7. Display schedule: The generated schedule is sent to the device and displayed for the user to check, allowing the user to easily see what their child should do on each day.

[0992] As a concrete example, we will show an example of generating a schedule for Taro. Taro, who has a moderate tendency to be lazy, is assigned two homework assignments per day between the start date "2023-08-01" and the end date "2023-08-07". In this way, homework is assigned sequentially from the homework list. Furthermore, if the user is feeling stressed, the schedule is adjusted, such as reducing it.

[0993] This system allows users to easily create a summer vacation schedule that suits their child's characteristics and can even adjust it according to the user's emotional state. This reduces the burden on parents and educators, and allows children to efficiently complete their homework under a well-managed schedule.

[0994] The processing flow will be explained below.

[0995] Step 1:

[0996] The user uses the terminal to input information about the child, including the child's name, personality, laziness, and homework list. After inputting the information, the user presses the send button.

[0997] Step 2:

[0998] The device sends the information entered by the user to the server, including the child's name, personality, laziness habits, and homework list.

[0999] Step 3:

[1000] The server processes the received information, which is used as data for schedule generation and sentiment analysis.

[1001] Step 4:

[1002] The user inputs the start and end dates of the schedule using the terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[1003] Step 5:

[1004] The server receives the start and end dates and starts generating the schedule. The start date is set to the current date (current_date).

[1005] Step 6:

[1006] When a user uses the device to input information about their child, the emotion engine recognizes the user's emotions from their facial expressions and voice, analyzing the level of stress and motivation the user is feeling.

[1007] Step 7:

[1008] The server starts a loop, processing dates from the current date to the end date.

[1009] Step 8:

[1010] The server determines the daily homework allocation based on the child's laziness: "low" laziness assigns three homework assignments per day, "medium" laziness assigns two homework assignments per day, and "high" laziness assigns one homework assignment per day.

[1011] Step 9:

[1012] The server takes the appropriate number of homework assignments from the child's homework list and adds them to the daily schedule.

[1013] Step 10:

[1014] The server adjusts the schedule based on the user's emotional state based on information from the emotion engine. For example, if the user is feeling stressed, the amount of homework is reduced, and if the user is highly motivated, the amount of homework is increased.

[1015] Step 11:

[1016] The server saves the current date and the homework assigned for that day in a schedule list.

[1017] Step 12:

[1018] The server advances the current date by one day (current_date += timedelta(days=1)) and moves on to process the next date.

[1019] Step 13:

[1020] The server repeats the process for all dates up to the end date until all homework has been assigned to the schedule list.

[1021] Step 14:

[1022] The server collectively transmits the generated schedule to the terminal.

[1023] Step 15:

[1024] The device displays the received schedule to the user, who can then review the generated schedule and manage their child's homework plan.

[1025] Example 2

[1026] 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."

[1027] Conventional automatic schedule generation systems only generate schedules based on information entered by the user and are unable to consider the user's emotional state. As a result, even when the user is feeling stressed or highly motivated, a uniform schedule is generated, making it difficult to provide a personalized and flexible schedule.

[1028] 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.

[1029] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for displaying the generated schedule, means for recognizing the emotional state of the user, and means for adjusting the schedule based on the emotional state, thereby enabling more personalized and flexible schedule generation according to the emotional state of the user.

[1030] A "user" is an entity that uses the system to input, check, and manage a child's schedule.

[1031] "Input information" refers to data such as the child's name, personality, laziness habits, and homework list that the user provides to the system through the terminal.

[1032] A "schedule" is a plan of activities and homework that a child should complete within a given period of time that can be generated, displayed, and adjusted.

[1033] "Emotional state" refers to the user's current mental and emotional condition, which the system recognizes and reflects in schedule adjustments.

[1034] "Means for Recognition" refers to the hardware and software used to detect and analyze a user's emotional state, such as a camera, microphone, or emotion analysis algorithms.

[1035] "Means for adjusting" refers to a function that changes the content and difficulty of the schedule based on the information entered by the user and the recognized emotional state.

[1036] "Terminal" refers to a device used by a user to input information and communicate with the system, including a personal computer or smartphone.

[1037] "Server" refers to the core computer system that receives input information, generates schedules, recognizes emotions, and adjusts schedules.

[1038] The present invention relates to a system that automatically generates and adjusts a child's summer vacation schedule based on user input and emotional state. The system combines the user's input information about the child with the user's emotional state to provide a personalized schedule.

[1039] System Configuration

[1040] The system mainly consists of the following components:

[1041] 1. A device that receives user input

[1042] 2. Servers that process information

[1043] 3. Emotion engine that recognizes user emotions

[1044] 4. Schedule Generation Algorithm

[1045] Hardware and Software

[1046] Terminal: A device used by a user to input information. Specifically, a PC, smartphone, tablet, etc. is used. A web browser or dedicated application runs on the terminal.

[1047] Server: A computer system that receives information, generates schedules, and coordinates tasks. The server is located in the cloud, using infrastructure such as Amazon Web Services (AWS).

[1048] Emotion engine: To recognize the user's emotions, emotion analysis software such as Microsoft Azure Emotion API and Google Cloud Vision AI is used. The device's camera and microphone are used to detect the user's emotional state based on their facial expressions and voice.

[1049] Schedule Generation Algorithm: Implemented in Python, it generates schedules based on user input and emotion recognition data. Schedule assignment takes into account not only the child's personality, laziness, and homework list, but also the user's emotional state.

[1050] Operating Procedure

[1051] 1. User Input

[1052] Users use their devices to enter their children's names, personalities, lazy habits, and homework lists, which are then sent to a server via a web form or application, securely using the HTTPS protocol.

[1053] 2. Emotion recognition

[1054] When a user inputs information, the device's built-in emotion engine recognizes emotions from the user's facial expressions and voice. For example, it uses a camera or microphone to capture emotion data and analyzes it in real time.

[1055] 3. Schedule generation and adjustment

[1056] The server generates a schedule based on the received information and emotional data. First, it creates a basic schedule based on the child's information, and then adjusts it according to the user's emotional state. For example, if the user is stressed, it reduces the amount of homework, and if the user is highly motivated, it increases the difficulty level.

[1057] 4. View schedule

[1058] The final generated and adjusted schedule is sent from the server to the device and displayed for the user to review. This process includes a calendar view of the schedule details and a reminder function.

[1059] Specific examples

[1060] Suppose a user enters information about a child named "Taro" and the emotion engine recognizes that the user is stressed. The start date is set to "2023-08-01" and the end date to "2023-08-07." Taro, who has a moderate laziness tendency, is assigned two homework assignments per day. Because the emotion engine recognizes stress, the schedule becomes less difficult. For example, the schedule for "2023-08-01" is assigned "one page of math workbook" and "Japanese book report."

[1061] Prompt Sentence Examples

[1062] Auto-generate your child's schedule.

[1063] Child's name: Taro

[1064] Personality: Active

[1065] Laziness: Moderate

[1066] Homework list: 1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test

[1067] Schedule start date: 2023-08-01

[1068] Schedule end date: 2023-08-07

[1069] User's emotional state: stressed

[1070] This system allows users to easily create a suitable summer vacation schedule for their children and even personalize it based on the user's emotional state, thereby reducing the burden on parents and educators and allowing children to complete their homework efficiently.

[1071] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1072] Step 1:

[1073] User input of information

[1074] The user uses the terminal to input the child's name, personality, laziness, and homework list. The input contents include, for example, "Taro," "active," "moderate laziness," "one page of math workbook, a book report for Japanese, a science experiment report, a home economics assignment, a social studies history class, and an English vocabulary test." These inputs are made through a form in the user interface.

[1075] Input: Child's name, personality, laziness habits, homework list

[1076] Output: The input information is compiled as data to be sent to the server.

[1077] Step 2:

[1078] Sending information

[1079] When the user presses the submit button, the input information is sent to the server using the HTTPS protocol, with SSL / TLS encryption to ensure communication security.

[1080] Input: Information entered by the user

[1081] Output: Information sent to the server

[1082] Step 3:

[1083] Receiving and storing information on the server

[1084] The server receives the user's information sent via HTTPS and stores it in a database (e.g., a MySQL database), where the data is also checked for formatting.

[1085] Input: Submitted information

[1086] Output: Information stored in the database

[1087] Step 4:

[1088] emotion recognition

[1089] When a user inputs information, the emotion engine analyzes the user's facial expressions and voice using the device's camera and microphone, and recognizes the user's emotional state in real time using Microsoft Azure Emotion API and Google Cloud Vision AI.

[1090] Input: User's facial expression and voice data

[1091] Output: Perceived emotional state

[1092] Step 5:

[1093] Setting the schedule period

[1094] The user sets the start and end dates of the schedule using the terminal, for example, selecting the period from "2023-08-01" to "2023-08-07" and submitting it to the server.

[1095] Input: Schedule start date, end date

[1096] Output: Period setting information sent to the server

[1097] Step 6:

[1098] Server-based schedule generation

[1099] The server uses a schedule generation algorithm to create a schedule based on the received child information and schedule period. The algorithm, implemented in Python, determines the daily schedule by taking into account the child's personality, laziness, and homework list.

[1100] Input: Child information, schedule period

[1101] Output: Initial schedule

[1102] Step 7:

[1103] Emotion-based scheduling

[1104] The server takes into account information from the emotion engine and adjusts the generated schedule, for example reducing the amount of homework if the user is stressed and increasing the difficulty if the user is highly motivated.

[1105] Input: Initial schedule, emotional state

[1106] Output: Adjusted schedule

[1107] Step 8:

[1108] Daily schedule creation

[1109] The server divides the adjusted schedule into days and creates a homework list for each specific date. For example, the schedule for "2023-08-01" will be assigned "1 page of math workbook" and "Japanese book report."

[1110] Input: Adjusted Schedule

[1111] Output: Daily schedule list

[1112] Step 9:

[1113] Viewing Schedules

[1114] The final generated and adjusted schedule is sent from the server to the terminal and displayed so that the user can easily check it. The schedule is displayed in a calendar format on the user interface.

[1115] Input: Daily schedule list

[1116] Output: Schedule displayed on the terminal

[1117] (Application example 2)

[1118] 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."

[1119] Conventional summer vacation schedule generation systems have difficulty adjusting schedules based on children's personalities and laziness, and are unable to consider the user's emotional state. This increases the user's burden and can lead to a decrease in children's motivation to study. Furthermore, they lack integration with learning planning tools in virtual stores, making it difficult for parents and children to create efficient learning plans.

[1120] 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 receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for recognizing the user's emotions, means for adjusting the generated schedule based on the user's emotions, and means for displaying the generated schedule. This makes it possible to generate an optimal schedule for a child that takes the user's emotions into consideration. Furthermore, by integrating the generated schedule into a virtual store application, parents and children can efficiently plan their learning together.

[1121] "User-entered information" refers to data the system needs to generate a schedule, such as the child's personality, laziness habits, homework list, and start and end dates for the schedule.

[1122] "Daily schedule for a given period of time" refers to a plan that assigns tasks and activities for a child to complete each day within a period of time set by the user.

[1123] "User emotion" refers to psychological states such as stress, motivation, and fatigue that are detected by the emotion recognition engine from facial expressions and voice when the user inputs information.

[1124] The "means for recognizing emotions" is a component that provides the functionality to analyze the user's facial expressions and voice data and identify the user's emotional state.

[1125] The "adjustment means" is a component that provides the functionality to appropriately change the content and load of the generated schedule based on the user's emotional state.

[1126] The "display means" is a component that provides a function to visually present the generated or adjusted schedule so that the user can check it.

[1127] The "Virtual Store Application" is a digital platform that provides tools for parents and children to create learning plans together online.

[1128] "Installed on a device" refers to application software being installed on an electronic device such as a smartphone or tablet and being in a state where it can be operated on that device.

[1129] "Emotion recognition engine" refers to software or a system that analyzes image data or audio data to identify a user's emotional state.

[1130] This invention is a system that automatically generates and adjusts a child's schedule for a specified period of time, taking into account the user's emotional state using an emotion recognition engine, while allowing the user to input information about the child using a terminal. This system reduces the burden on the user and increases the child's motivation to learn.

[1131] System Configuration

[1132] The main components of this system are a terminal, a server, and an emotion recognition engine.

[1133] Device: A device where a user enters their child's information (name, personality, laziness habits, homework list) and the start and end dates of the schedule. This includes smartphones and tablets.

[1134] Server: A back-end system that generates schedules and adjusts them based on data from the emotion recognition engine.

[1135] Emotion recognition engine: Software or a system that analyzes a user's facial expressions and voice data to identify their emotional state.

[1136] Data Processing

[1137] The device sends the child's information and the schedule start and end dates entered by the user to the server. It also uses the device's built-in camera and microphone to collect the user's facial expressions and voice data, which are then analyzed by an emotion recognition engine. The server then performs the following processes:

[1138] 1. Schedule generation: The server generates a daily schedule for a given period based on the child's personality, laziness, and homework list.

[1139] 2. Emotion-based adjustment: The generated schedule is adjusted based on the user's emotional state (e.g., stress, motivation) obtained from an emotion recognition engine. For example, if the user is stressed, the amount of tasks per day is reduced, and if the user is highly motivated, additional tasks are added.

[1140] 3. Displaying the schedule: The final generated and adjusted schedule is sent to the terminal and displayed for the user to review.

[1141] Specific examples

[1142] As a concrete example, let us consider "Generating Taro's homework schedule." The user (parent) uses a terminal to enter the following information about their child:

[1143] Name: "Taro"

[1144] Personality: Active

[1145] Laziness: Moderate

[1146] Homework list: "One page of math workbook," "Japanese book report," "Science lab report," "Home economics assignment," "Social studies history study," "English vocabulary test"

[1147] Schedule start date: "2023-08-01"

[1148] End date: "2023-08-07"

[1149] Once the user has completed the input, an emotion recognition engine analyzes the user's emotional state from their facial expressions and voice, detecting, for example, "stress." The server then adjusts Taro's schedule based on this data, reducing the number of tasks assigned to each day. The final schedule is displayed on the device for the user to easily check.

[1150] Prompt Sentence Examples

[1151] "Generate a homework schedule for Taro based on the child information entered by the user using the emotion recognition engine. The start date is August 1, 2023, and the end date is August 7, 2023. Taro is active, has a moderate laziness tendency, and his homework includes [1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test]. The user is currently feeling stressed."

[1152] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1153] Step 1:

[1154] The user uses the terminal to input the child's information (name, personality, laziness habits, homework list) and the start and end dates of the schedule. This input information is sent to the server through the terminal's interface. After the user has entered the information, the terminal sends all of this data to the server by pressing the "Send" button. Input: Child's information, start date, end date. Output: Data sent to the server.

[1155] Step 2:

[1156] The server receives the child information and the start and end dates of the schedule sent by the user. The server analyzes the received data and prepares to generate the schedule. The data is saved in an appropriate format and passed to the schedule generation algorithm. Input: Data sent from the device. Output: Data passed to the schedule generation algorithm.

[1157] Step 3:

[1158] The emotion recognition engine uses the device's camera and microphone to collect the user's facial and voice data. The collected data is analyzed in real time to identify the user's emotional state (e.g., stress, positive, neutral). The results are sent to the server. Input: User's facial and voice data. Output: User's emotional state data.

[1159] Step 4:

[1160] The server generates a daily schedule for a given period based on the received child information and the user's emotional state data obtained from the emotion recognition engine. The schedule generation algorithm creates an optimal schedule based on the child's personality, laziness, and homework list. Input: Child information, user's emotional state data. Output: Generated schedule.

[1161] Step 5:

[1162] The server adjusts the generated schedule based on the user's emotional state. For example, if the user is feeling stressed, it reduces the amount of tasks per day, and if they are highly motivated, it adds additional tasks. The emotional state data is passed to a schedule adjustment algorithm, which adjusts the schedule accordingly. Input: Generated schedule, user's emotional state data. Output: Adjusted schedule.

[1163] Step 6:

[1164] The server sends the final generated and adjusted schedule to the terminal. The terminal receives the schedule and displays it so that the user can easily check it. The terminal interface has the function of displaying a list of tasks by day. Input: Adjusted schedule. Output: Schedule displayed on the terminal.

[1165] Step 7:

[1166] The user checks the schedule on the device and manually adjusts or adds additional information as necessary. The final schedule is confirmed with the user's confirmation and agreement. Input: Schedule on the device. Output: Schedule confirmed by the user.

[1167] 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.

[1168] 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.

[1169] 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.

[1170] [Fourth embodiment]

[1171] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1172] 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.

[1173] 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).

[1174] 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.

[1175] 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.

[1176] 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).

[1177] 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.

[1178] 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.

[1179] 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.

[1180] 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.

[1181] 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.

[1182] 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.

[1183] 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."

[1184] The present invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by the user. This system allows the user to easily create an optimal schedule that takes into account the child's personality and laziness.

[1185] The program for this system performs the following process: First, the user uses a terminal to input information about their child, including the child's name, personality, laziness habits, and homework list. The information entered by the user is sent to the server.

[1186] The server then uses the received child information to begin creating a schedule. Specifically, the process proceeds as follows:

[1187] 1. Receiving information: The server receives information about the child entered by the user. For example, the information received is that the child's name is "Taro," his personality is "active," and his laziness is "moderate." The homework list includes "1 page of math workbook," "Japanese book report," "science lab report," "home economics assignment," "social history study," and "English vocabulary test."

[1188] 2. Setting the start and end dates: The user sends the start and end dates of the schedule to the server using the terminal. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[1189] 3. Schedule Generation: Based on the received information, the server generates a schedule from the start date to the end date, adjusting the daily homework assignments based on the child's laziness. For example, if the child's laziness is "medium," the server assigns two homework assignments per day.

[1190] 4. Creating a daily schedule: The server generates a daily schedule and adds the date and the activities (such as homework) to the list. For example, for the schedule for "2023-08-01," it assigns "1 page of math workbook" and "Japanese book report." Next, for the schedule for "2023-08-02," it assigns "science lab report" and "home economics assignment."

[1191] 5. Display schedule: The generated schedule is sent to the device and displayed for the user to check, allowing the user to easily see what their child should do on each day.

[1192] As a concrete example, let's look at an example of generating a schedule for Taro. Taro, who has a moderate tendency to be lazy, is assigned two homework assignments per day between the start date "2023-08-01" and the end date "2023-08-07". In this way, homework is assigned sequentially from the homework list.

[1193] For example, the schedule for "2023-08-01" might include "1 page of math workbook" and "Japanese book report," while the next day it might include "science lab report" and "home economics assignment." This process is repeated until all homework is completed.

[1194] This system allows users to easily create a summer vacation schedule that suits their child's characteristics, reducing the burden on parents and educators and allowing children to efficiently complete their homework under a well-managed schedule.

[1195] The processing flow will be explained below.

[1196] Step 1:

[1197] The user uses the terminal to enter information about the child, including the child's name, personality, laziness habits, and homework list. The user enters this information and presses the send button.

[1198] Step 2:

[1199] The terminal sends the information entered by the user to the server, including the child's name, personality, laziness habits, and homework list.

[1200] Step 3:

[1201] The server receives the information, which is then used as the primary data for generating the schedule.

[1202] Step 4:

[1203] The user inputs the start and end dates of the schedule using a terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[1204] Step 5:

[1205] The server receives the start and end dates and begins generating the schedule. The start date is set to the current date (current_date).

[1206] Step 6:

[1207] The server begins a loop, processing dates from the current date to the end date.

[1208] Step 7:

[1209] The server determines the daily homework allocation based on the child's laziness: "low" laziness assigns three homework assignments per day, "medium" laziness assigns two homework assignments per day, and "high" laziness assigns one homework assignment per day.

[1210] Step 8:

[1211] The server takes the appropriate number of homework assignments from the child's homework list and adds them to the daily schedule.

[1212] Step 9:

[1213] The server saves the current date and the homework assigned for that day in a schedule list.

[1214] Step 10:

[1215] The server advances the current date by one day (current_date += timedelta(days=1)) and moves on to process the next date.

[1216] Step 11:

[1217] The server repeats the process for all dates up to the end date, until all homework has been assigned to the schedule list.

[1218] Step 12:

[1219] The server collectively transmits the generated schedule to the terminal.

[1220] Step 13:

[1221] The terminal displays the received schedule to the user, who can then check the generated schedule and confirm the child's homework plan.

[1222] Example 1

[1223] 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."

[1224] Conventional schedule generation systems have made it difficult to easily create an optimal schedule based on a child's personality and learning progress. Furthermore, parents and educators must manually create the schedule, which requires time and effort. The present invention aims to solve these problems by providing a system that automatically generates and displays an optimal schedule based on a child's personality and laziness.

[1225] 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.

[1226] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for generating a prompt sentence based on the information and sending a schedule generation request to the generative AI model, means for analyzing and formatting the schedule data received from the generative AI model, and means for displaying the generated schedule, thereby enabling a user to easily create an optimal schedule based on their child's personality and laziness.

[1227] A "user" is a person who operates the system to input a child's information and schedule periods.

[1228] "Information" is the input data needed to generate the schedule, such as the child's name, personality, laziness habits, and homework list.

[1229] A "schedule" is a plan that allocates homework and activities to be done each day during a child's summer vacation.

[1230] A "prompt sentence" is a specific command sentence used when sending a schedule generation request to a generative AI model.

[1231] A "generative AI model" is an artificial intelligence model that automatically generates an optimal schedule based on information entered by the user.

[1232] A "schedule generation request" is a request for schedule generation sent to a generative AI model via a prompt sentence.

[1233] The "generated schedule" is daily schedule data that is automatically generated, analyzed, and formatted by a generative AI model.

[1234] "Means" are devices or software components that a system has to realize a specific function.

[1235] The present invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by the user. This system allows the user to easily create an optimal schedule that takes into account the child's personality and laziness.

[1236] System Configuration

[1237] This system includes a terminal operated by the user, a server that processes and stores data, and a generative AI model. The specific hardware and software used are as follows:

[1238] Device: Personal computer, tablet, smartphone, etc. Provides an interface for users to input information about their child and schedule periods.

[1239] Server: Receives data, sends schedule generation requests, and analyzes and formats the generated schedule. The server is equipped with a high-performance CPU and memory, and has sufficient computing power to run the generative AI model.

[1240] Generative AI model: An artificial intelligence model that automatically generates optimal schedules based on information input by users, using natural language processing techniques and machine learning algorithms.

[1241] Processing flow

[1242] The processing flow of the system is explained below.

[1243] 1. Enter your user information

[1244] The user uses the terminal to input information about the child, such as the child's name, personality, laziness, homework list, etc. This information is then sent from the terminal to the server.

[1245] 2. Transmission of information

[1246] The information entered by the user is sent from the terminal to the server as an HTTP request, which is then received and stored in a database.

[1247] 3. Set the schedule period

[1248] The user inputs the start and end dates of the schedule into the terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[1249] 4. Schedule Generation

[1250] The server generates a prompt based on the received child information and schedule period. Using this prompt, it sends a schedule generation request to the generative AI model. The model generates an optimal schedule based on the user's request and returns it to the server.

[1251] Example prompt sentence:

[1252] Create a summer vacation schedule for your child.

[1253] Name: Taro

[1254] Personality: Active

[1255] Laziness: Moderate

[1256] Start date: 2023-08-01

[1257] End date: 2023-08-07

[1258] Homework list:

[1259] Mathematics problem book page 1

[1260] Japanese book review

[1261] Science experiment report

[1262] Home economics assignments

[1263] Studying social history

[1264] English Vocabulary Test

[1265] 5. Create a daily schedule

[1266] The server analyzes the schedule data received from the generative AI model and formats it by date. For example, "2023-08-01" includes "1 page of math workbook" and "Japanese book report."

[1267] 6. View schedule

[1268] The generated schedule is sent from the server to the device and displayed on the screen for the user to check. The user can check "Page 1 of the math workbook" and "Japanese book report" as the schedule for "2023-08-01."

[1269] Specific examples

[1270] For example, if a user inputs "Taro", "2023-08-01", "2023-08-07", "active", "medium", and "homework list", the server will generate the following schedule:

[1271] 2023-08-01: 1 page of math workbook, Japanese book report

[1272] 2023-08-02: Science experiment reports, home economics assignments

[1273] In this way, users can easily create and check the optimal schedule for their child through their device. This system reduces the burden on parents and educators, and allows children to complete their homework efficiently.

[1274] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1275] Step 1:

[1276] The user uses the device to enter information about their child. Specifically, they enter the child's name, personality, laziness, and homework list in the input form displayed on the device. The user enters information such as "Taro," "active," "medium level," and "1 page of math workbook," and clicks the "Submit" button. The input data is sent from the device to the server in JSON format.

[1277] Input: Child's name, personality, laziness habits, homework list

[1278] Output: Sends input data to the server

[1279] Step 2:

[1280] The server receives the information sent from the device and stores it in a database. Specifically, it receives HTTP requests, analyzes the data contained therein, and stores it in a database. The server receives information such as the child's name, personality, laziness habits, and homework list.

[1281] Input: Information sent from the terminal (HTTP request)

[1282] Output: Information stored in the database

[1283] Step 3:

[1284] The user inputs the start and end dates of the schedule using the terminal and sends them to the server. For example, if the user selects the start date "2023-08-01" and the end date "2023-08-07" in the calendar input form and clicks the "Submit" button, this information is sent to the server.

[1285] Input: Schedule start and end dates

[1286] Output: Send schedule period data to the server

[1287] Step 4:

[1288] The server generates a prompt based on the received child information and schedule period. The generated prompt is used to send a schedule generation request to the generative AI model. The prompt includes the child's name, personality, laziness, schedule period, and homework list.

[1289] Input: Child information stored in the database, schedule period

[1290] Output: The prompt to send to the generative AI model

[1291] Step 5:

[1292] The generative AI model receives the prompt and generates an optimal schedule. The server analyzes the schedule data received from the generative AI model. Specifically, the server receives the generated schedule data in JSON format, analyzes it, and formats it by date. For example, it organizes the data so that "2023-08-01" includes "1 page of math workbook" and "Japanese book report."

[1293] Input: Schedule data from a generative AI model

[1294] Output: Analyzed and formatted daily schedule data

[1295] Step 6:

[1296] The generated schedule is sent from the server to the terminal and displayed on the screen for the user to check. For example, the user can check "Page 1 of the math workbook" and "Japanese book report" as the schedule for "2023-08-01." The server sends the analyzed and formatted schedule data to the terminal as an HTTP response.

[1297] Input: Analyzed and formatted daily schedule data

[1298] Output: Schedule displayed on the terminal

[1299] (Application example 1)

[1300] 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."

[1301] Traditionally, manually managing and creating children's summer vacation schedules has been cumbersome and a major burden for parents. Dynamic adjustments and real-time schedule confirmation have also been difficult, making it difficult to optimize children's learning efficiency. Furthermore, few systems offer an intuitive user interface for mobile devices, making them unsuitable for general use.

[1302] 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.

[1303] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for displaying the generated schedule, means for evenly allocating the schedule to each day based on the information input by the user and the start and end dates, and means for displaying the schedule on a mobile device. This allows parents to easily automatically generate their children's summer vacation study schedules and dynamically adjust and check them in real time.

[1304] "User-entered information" refers to data necessary for automatic schedule generation, such as children's names, personalities, laziness habits, and homework lists.

[1305] "Daily schedule for a specified period" refers to a list of scheduled learning and activities for each day from a start date to an end date specified by the user.

[1306] "Means for generating" refers to a mechanism that uses algorithms and programs within the server to create a schedule based on information entered by the user.

[1307] "Means for displaying the generated schedule" refers to an interface and device that displays the generated schedule in a form that can be viewed by the user.

[1308] "A method for evenly allocating schedules based on start and end dates" refers to a system that distributes homework and activities fairly within a specified period of time and adjusts schedules so that each day's workload is even.

[1309] "Mobile Device" refers to a portable electronic device such as a smartphone or tablet.

[1310] "Means for checking in real time" refers to a system that allows parents to instantly check and manage schedules through a dedicated application.

[1311] This invention relates to a system that automatically generates and displays a child's summer vacation schedule based on information entered by a user. Specifically, a user enters information such as the child's name, personality, laziness, and homework list, and a server generates an optimal schedule based on this information.

[1312] System configuration

[1313] The system consists of the following elements:

[1314] 1. User Device: The smartphone or tablet used by the parent or guardian to enter information, including, for example, iOS and Android devices.

[1315] 2. Server: Receives information sent from user devices and generates a schedule. The server executes the schedule generation algorithm using a programming language such as Python. Flask or Django can be used as a web framework.

[1316] 3. Dedicated application: Software installed on the device that allows users to input and display schedules. Applications can be developed using React Native or Flutter.

[1317] Processing flow

[1318] 1. Enter your information:

[1319] Users launch a dedicated application and enter their child's name, personality, laziness habits, and homework list, as well as set start and end dates for the schedule.

[1320] 2. Data transmission:

[1321] Input information is sent from the user's device to the server, and the sent data is stored on the server as structured data in JSON format or similar.

[1322] 3. Generate the schedule:

[1323] The server then uses the information it receives to create a daily schedule for a given period, evenly distributing the homework list. For example, a Python program can be used to generate the schedule and adjust it so that each day is evenly distributed.

[1324] 4. View schedule:

[1325] The generated schedule is sent back to the user's device and displayed in real time through a dedicated application, allowing the user to check the schedule through a visual interface.

[1326] Usage example

[1327] For example, if you enter information about a child named Taro, the system will operate as follows:

[1328] Input: Child's name: Taro, personality: active, laziness: moderate, homework: 1 page of math workbook, Japanese book review, science lab report, home economics assignment, social studies history study, English vocabulary test

[1329] Schedule Generation: If the schedule start date is 2023-08-01 and end date is 2023-08-07, the system will assign two homework assignments per day and distribute them evenly so that the homework is completed every day.

[1330] Below is an example of a prompt sentence.

[1331] I want to automatically generate my child's summer vacation schedule.

[1332] Information: Name: Taro, Personality: Active, Laziness: Medium

[1333] Homework list: 1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test

[1334] Schedule start date: 2023-08-01

[1335] End date: 2023-08-07

[1336] Use this information to generate a schedule with two homework assignments per day.

[1337] In this way, the present invention enables parents to easily and automatically generate their children's summer vacation study schedules, and to dynamically adjust and check the schedules in real time.

[1338] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1339] Step 1:

[1340] The user launches the dedicated application and enters information about the child, including the child's name, personality, laziness habits, homework list, and schedule start and end dates. After completing the input, the user presses the "Submit" button.

[1341] Input: Child's name, personality, laziness habits, homework list, start date, end date

[1342] Output: The input information is saved in the device as structured data (e.g., JSON format).

[1343] Step 2:

[1344] Information entered from the user's terminal is sent to the server, where it is converted into an appropriate data format and temporarily stored.

[1345] Input: Structured input information (JSON format data)

[1346] Output: Input information saved on the server

[1347] Step 3:

[1348] The server starts the schedule generation process based on the received data: it calculates the total duration based on the start and end dates and runs an algorithm to evenly distribute the homework list.

[1349] Input: Input information stored on the server

[1350] Data processing: Calculating duration based on start and end dates, allocating homework

[1351] Output: Calculated daily schedule (e.g. homework assignments for each day)

[1352] Step 4:

[1353] The server restructures the generated schedule in JSON format and sends it to the user's device. This data includes a list of homework assigned for each day.

[1354] Input: Calculated daily schedule

[1355] Output: Structured schedule data (JSON format)

[1356] Step 5:

[1357] The user device analyzes the received schedule data using a dedicated application and displays it through a visual user interface (UI), allowing the user to check their schedule through the application.

[1358] Input: Structured schedule data

[1359] Output: A visual schedule display that users can check

[1360] Step 6:

[1361] Users can check the displayed schedule and make adjustments as necessary, and the dedicated application will send the changes to the server in real time and update the schedule again.

[1362] Input: Schedule information updated by the user

[1363] Output: Updated schedule redisplay

[1364] 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.

[1365] This invention relates to a system that automatically generates a child's summer vacation schedule, and by combining it with an emotion engine that recognizes the user's emotions, it adds a function to adjust the schedule based on the user's emotions. This system can generate and adjust the schedule by taking into account the emotional state of the child in addition to the information the user enters, thereby providing a more personalized schedule.

[1366] The program for this system performs the following process: First, the user uses a terminal to input information about their child, including the child's name, personality, laziness habits, and homework list. The information entered by the user is sent to the server.

[1367] The server then uses the received child information to begin creating a schedule. Specifically, the process proceeds as follows:

[1368] 1. Receiving information: The server receives information about the child entered by the user. For example, the information received is that the child's name is "Taro," his personality is "active," and his laziness is "moderate." The homework list includes "1 page of math workbook," "Japanese book report," "science lab report," "home economics assignment," "social history study," and "English vocabulary test."

[1369] 2. Emotion Recognition: When a user uses the device to input information about their child, the emotion engine recognizes the user's emotions from their facial expressions and voice. For example, if the user is feeling stressed, their emotional state will be recorded.

[1370] 3. Setting the start and end dates: The user sends the start and end dates of the schedule to the server using the terminal. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[1371] 4. Schedule Generation: Based on the received information, the server generates a schedule from the start date to the end date, adjusting the daily homework assignments based on the child's laziness. For example, if the child's laziness is "medium," the server assigns two homework assignments per day.

[1372] 5. Emotion-based adjustment: Based on information from the emotion engine, the server adjusts the schedule, such as reducing the schedule if the user is feeling stressed, or increasing the difficulty if the user is highly motivated.

[1373] 6. Creating a daily schedule: The server generates a daily schedule and adds the date and the activities (such as homework) to the list. For example, for the schedule for "2023-08-01," it assigns "1 page of math workbook" and "Japanese book report." Next, for the schedule for "2023-08-02," it assigns "science lab report" and "home economics assignment."

[1374] 7. Display schedule: The generated schedule is sent to the device and displayed for the user to check, allowing the user to easily see what their child should do on each day.

[1375] As a concrete example, we will show an example of generating a schedule for Taro. Taro, who has a moderate tendency to be lazy, is assigned two homework assignments per day between the start date "2023-08-01" and the end date "2023-08-07". In this way, homework is assigned sequentially from the homework list. Furthermore, if the user is feeling stressed, the schedule is adjusted, such as reducing it.

[1376] This system allows users to easily create a summer vacation schedule that suits their child's characteristics and can even adjust it according to the user's emotional state. This reduces the burden on parents and educators, and allows children to efficiently complete their homework under a well-managed schedule.

[1377] The processing flow will be explained below.

[1378] Step 1:

[1379] The user uses the terminal to input information about the child, including the child's name, personality, laziness, and homework list. After inputting the information, the user presses the send button.

[1380] Step 2:

[1381] The device sends the information entered by the user to the server, including the child's name, personality, laziness habits, and homework list.

[1382] Step 3:

[1383] The server processes the received information, which is used as data for schedule generation and sentiment analysis.

[1384] Step 4:

[1385] The user inputs the start and end dates of the schedule using the terminal and sends them to the server. For example, the start date is "2023-08-01" and the end date is "2023-08-07".

[1386] Step 5:

[1387] The server receives the start and end dates and starts generating the schedule. The start date is set to the current date (current_date).

[1388] Step 6:

[1389] When a user uses the device to input information about their child, the emotion engine recognizes the user's emotions from their facial expressions and voice, analyzing the level of stress and motivation the user is feeling.

[1390] Step 7:

[1391] The server starts a loop, processing dates from the current date to the end date.

[1392] Step 8:

[1393] The server determines the daily homework allocation based on the child's laziness: "low" laziness assigns three homework assignments per day, "medium" laziness assigns two homework assignments per day, and "high" laziness assigns one homework assignment per day.

[1394] Step 9:

[1395] The server takes the appropriate number of homework assignments from the child's homework list and adds them to the daily schedule.

[1396] Step 10:

[1397] The server adjusts the schedule based on the user's emotional state based on information from the emotion engine. For example, if the user is feeling stressed, the amount of homework is reduced, and if the user is highly motivated, the amount of homework is increased.

[1398] Step 11:

[1399] The server saves the current date and the homework assigned for that day in a schedule list.

[1400] Step 12:

[1401] The server advances the current date by one day (current_date += timedelta(days=1)) and moves on to process the next date.

[1402] Step 13:

[1403] The server repeats the process for all dates up to the end date until all homework has been assigned to the schedule list.

[1404] Step 14:

[1405] The server collectively transmits the generated schedule to the terminal.

[1406] Step 15:

[1407] The device displays the received schedule to the user, who can then review the generated schedule and manage their child's homework plan.

[1408] Example 2

[1409] 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."

[1410] Conventional automatic schedule generation systems only generate schedules based on information entered by the user and are unable to consider the user's emotional state. As a result, even when the user is feeling stressed or highly motivated, a uniform schedule is generated, making it difficult to provide a personalized and flexible schedule.

[1411] 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.

[1412] In this invention, the server includes means for receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for displaying the generated schedule, means for recognizing the emotional state of the user, and means for adjusting the schedule based on the emotional state, thereby enabling more personalized and flexible schedule generation according to the emotional state of the user.

[1413] A "user" is an entity that uses the system to input, check, and manage a child's schedule.

[1414] "Input information" refers to data such as the child's name, personality, laziness habits, and homework list that the user provides to the system through the terminal.

[1415] A "schedule" is a plan of activities and homework that a child should complete within a given period of time that can be generated, displayed, and adjusted.

[1416] "Emotional state" refers to the user's current mental and emotional condition, which the system recognizes and reflects in schedule adjustments.

[1417] "Means for Recognition" refers to the hardware and software used to detect and analyze a user's emotional state, such as a camera, microphone, or emotion analysis algorithms.

[1418] "Means for adjusting" refers to a function that changes the content and difficulty of the schedule based on the information entered by the user and the recognized emotional state.

[1419] "Terminal" refers to a device used by a user to input information and communicate with the system, including a personal computer or smartphone.

[1420] "Server" refers to the core computer system that receives input information, generates schedules, recognizes emotions, and adjusts schedules.

[1421] The present invention relates to a system that automatically generates and adjusts a child's summer vacation schedule based on user input and emotional state. The system combines the user's input information about the child with the user's emotional state to provide a personalized schedule.

[1422] System Configuration

[1423] The system mainly consists of the following components:

[1424] 1. A device that receives user input

[1425] 2. Servers that process information

[1426] 3. Emotion engine that recognizes user emotions

[1427] 4. Schedule Generation Algorithm

[1428] Hardware and Software

[1429] Terminal: A device used by a user to input information. Specifically, a PC, smartphone, tablet, etc. is used. A web browser or dedicated application runs on the terminal.

[1430] Server: A computer system that receives information, generates schedules, and coordinates tasks. The server is located in the cloud, using infrastructure such as Amazon Web Services (AWS).

[1431] Emotion engine: To recognize the user's emotions, emotion analysis software such as Microsoft Azure Emotion API and Google Cloud Vision AI is used. The device's camera and microphone are used to detect the user's emotional state based on their facial expressions and voice.

[1432] Schedule Generation Algorithm: Implemented in Python, it generates schedules based on user input and emotion recognition data. Schedule assignment takes into account not only the child's personality, laziness, and homework list, but also the user's emotional state.

[1433] Operating Procedure

[1434] 1. User Input

[1435] Users use their devices to enter their children's names, personalities, lazy habits, and homework lists, which are then sent to a server via a web form or application, securely using the HTTPS protocol.

[1436] 2. Emotion recognition

[1437] When a user inputs information, the device's built-in emotion engine recognizes emotions from the user's facial expressions and voice. For example, it uses a camera or microphone to capture emotion data and analyzes it in real time.

[1438] 3. Schedule generation and adjustment

[1439] The server generates a schedule based on the received information and emotional data. First, it creates a basic schedule based on the child's information, and then adjusts it according to the user's emotional state. For example, if the user is stressed, it reduces the amount of homework, and if the user is highly motivated, it increases the difficulty level.

[1440] 4. View schedule

[1441] The final generated and adjusted schedule is sent from the server to the device and displayed for the user to review. This process includes a calendar view of the schedule details and a reminder function.

[1442] Specific examples

[1443] Suppose a user enters information about a child named "Taro" and the emotion engine recognizes that the user is stressed. The start date is set to "2023-08-01" and the end date to "2023-08-07." Taro, who has a moderate laziness tendency, is assigned two homework assignments per day. Because the emotion engine recognizes stress, the schedule becomes less difficult. For example, the schedule for "2023-08-01" is assigned "one page of math workbook" and "Japanese book report."

[1444] Prompt Sentence Examples

[1445] Auto-generate your child's schedule.

[1446] Child's name: Taro

[1447] Personality: Active

[1448] Laziness: Moderate

[1449] Homework list: 1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test

[1450] Schedule start date: 2023-08-01

[1451] Schedule end date: 2023-08-07

[1452] User's emotional state: stressed

[1453] This system allows users to easily create a suitable summer vacation schedule for their children and even personalize it based on the user's emotional state, thereby reducing the burden on parents and educators and allowing children to complete their homework efficiently.

[1454] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1455] Step 1:

[1456] User input of information

[1457] The user uses the terminal to input the child's name, personality, laziness, and homework list. The input contents include, for example, "Taro," "active," "moderate laziness," "one page of math workbook, a book report for Japanese, a science experiment report, a home economics assignment, a social studies history class, and an English vocabulary test." These inputs are made through a form in the user interface.

[1458] Input: Child's name, personality, laziness habits, homework list

[1459] Output: The input information is compiled as data to be sent to the server.

[1460] Step 2:

[1461] Sending information

[1462] When the user presses the submit button, the input information is sent to the server using the HTTPS protocol, with SSL / TLS encryption to ensure communication security.

[1463] Input: Information entered by the user

[1464] Output: Information sent to the server

[1465] Step 3:

[1466] Receiving and storing information on the server

[1467] The server receives the user's information sent via HTTPS and stores it in a database (e.g., a MySQL database), where the data is also checked for formatting.

[1468] Input: Submitted information

[1469] Output: Information stored in the database

[1470] Step 4:

[1471] emotion recognition

[1472] When a user inputs information, the emotion engine analyzes the user's facial expressions and voice using the device's camera and microphone, and recognizes the user's emotional state in real time using Microsoft Azure Emotion API and Google Cloud Vision AI.

[1473] Input: User's facial expression and voice data

[1474] Output: Perceived emotional state

[1475] Step 5:

[1476] Setting the schedule period

[1477] The user sets the start and end dates of the schedule using the terminal, for example, selecting the period from "2023-08-01" to "2023-08-07" and submitting it to the server.

[1478] Input: Schedule start date, end date

[1479] Output: Period setting information sent to the server

[1480] Step 6:

[1481] Server-based schedule generation

[1482] The server uses a schedule generation algorithm to create a schedule based on the received child information and schedule period. The algorithm, implemented in Python, determines the daily schedule by taking into account the child's personality, laziness, and homework list.

[1483] Input: Child information, schedule period

[1484] Output: Initial schedule

[1485] Step 7:

[1486] Emotion-based scheduling

[1487] The server takes into account information from the emotion engine and adjusts the generated schedule, for example reducing the amount of homework if the user is stressed and increasing the difficulty if the user is highly motivated.

[1488] Input: Initial schedule, emotional state

[1489] Output: Adjusted schedule

[1490] Step 8:

[1491] Daily schedule creation

[1492] The server divides the adjusted schedule into days and creates a homework list for each specific date. For example, the schedule for "2023-08-01" will be assigned "1 page of math workbook" and "Japanese book report."

[1493] Input: Adjusted Schedule

[1494] Output: Daily schedule list

[1495] Step 9:

[1496] Viewing Schedules

[1497] The final generated and adjusted schedule is sent from the server to the terminal and displayed so that the user can easily check it. The schedule is displayed in a calendar format on the user interface.

[1498] Input: Daily schedule list

[1499] Output: Schedule displayed on the terminal

[1500] (Application example 2)

[1501] 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."

[1502] Conventional summer vacation schedule generation systems have difficulty adjusting schedules based on children's personalities and laziness, and are unable to consider the user's emotional state. This increases the user's burden and can lead to a decrease in children's motivation to study. Furthermore, they lack integration with learning planning tools in virtual stores, making it difficult for parents and children to create efficient learning plans.

[1503] 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 receiving information input by a user, means for generating a daily schedule for a predetermined period based on the information, means for recognizing the user's emotions, means for adjusting the generated schedule based on the user's emotions, and means for displaying the generated schedule. This makes it possible to generate an optimal schedule for a child that takes the user's emotions into consideration. Furthermore, by integrating the generated schedule into a virtual store application, parents and children can efficiently plan their learning together.

[1504] "User-entered information" refers to data the system needs to generate a schedule, such as the child's personality, laziness habits, homework list, and start and end dates for the schedule.

[1505] "Daily schedule for a given period of time" refers to a plan that assigns tasks and activities for a child to complete each day within a period of time set by the user.

[1506] "User emotion" refers to psychological states such as stress, motivation, and fatigue that are detected by the emotion recognition engine from facial expressions and voice when the user inputs information.

[1507] The "means for recognizing emotions" is a component that provides the functionality to analyze the user's facial expressions and voice data and identify the user's emotional state.

[1508] The "adjustment means" is a component that provides the functionality to appropriately change the content and load of the generated schedule based on the user's emotional state.

[1509] The "display means" is a component that provides a function to visually present the generated or adjusted schedule so that the user can check it.

[1510] The "Virtual Store Application" is a digital platform that provides tools for parents and children to create learning plans together online.

[1511] "Installed on a device" refers to application software being installed on an electronic device such as a smartphone or tablet and being in a state where it can be operated on that device.

[1512] "Emotion recognition engine" refers to software or a system that analyzes image data or audio data to identify a user's emotional state.

[1513] This invention is a system that automatically generates and adjusts a child's schedule for a specified period of time, taking into account the user's emotional state using an emotion recognition engine, while allowing the user to input information about the child using a terminal. This system reduces the burden on the user and increases the child's motivation to learn.

[1514] System Configuration

[1515] The main components of this system are a terminal, a server, and an emotion recognition engine.

[1516] Device: A device where a user enters their child's information (name, personality, laziness habits, homework list) and the start and end dates of the schedule. This includes smartphones and tablets.

[1517] Server: A back-end system that generates schedules and adjusts them based on data from the emotion recognition engine.

[1518] Emotion recognition engine: Software or a system that analyzes a user's facial expressions and voice data to identify their emotional state.

[1519] Data Processing

[1520] The device sends the child's information and the schedule start and end dates entered by the user to the server. It also uses the device's built-in camera and microphone to collect the user's facial expressions and voice data, which are then analyzed by an emotion recognition engine. The server then performs the following processes:

[1521] 1. Schedule generation: The server generates a daily schedule for a given period based on the child's personality, laziness, and homework list.

[1522] 2. Emotion-based adjustment: The generated schedule is adjusted based on the user's emotional state (e.g., stress, motivation) obtained from an emotion recognition engine. For example, if the user is stressed, the amount of tasks per day is reduced, and if the user is highly motivated, additional tasks are added.

[1523] 3. Displaying the schedule: The final generated and adjusted schedule is sent to the terminal and displayed for the user to review.

[1524] Specific examples

[1525] As a concrete example, let us consider "Generating Taro's homework schedule." The user (parent) uses a terminal to enter the following information about their child:

[1526] Name: "Taro"

[1527] Personality: Active

[1528] Laziness: Moderate

[1529] Homework list: "One page of math workbook," "Japanese book report," "Science lab report," "Home economics assignment," "Social studies history study," "English vocabulary test"

[1530] Schedule start date: "2023-08-01"

[1531] End date: "2023-08-07"

[1532] Once the user has completed the input, an emotion recognition engine analyzes the user's emotional state from their facial expressions and voice, detecting, for example, "stress." The server then adjusts Taro's schedule based on this data, reducing the number of tasks assigned to each day. The final schedule is displayed on the device for the user to easily check.

[1533] Prompt Sentence Examples

[1534] "Generate a homework schedule for Taro based on the child information entered by the user using the emotion recognition engine. The start date is August 1, 2023, and the end date is August 7, 2023. Taro is active, has a moderate laziness tendency, and his homework includes [1 page of math workbook, Japanese book report, science lab report, home economics assignment, social studies history study, English vocabulary test]. The user is currently feeling stressed."

[1535] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1536] Step 1:

[1537] The user uses the terminal to input the child's information (name, personality, laziness habits, homework list) and the start and end dates of the schedule. This input information is sent to the server through the terminal's interface. After the user has entered the information, the terminal sends all of this data to the server by pressing the "Send" button. Input: Child's information, start date, end date. Output: Data sent to the server.

[1538] Step 2:

[1539] The server receives the child information and the start and end dates of the schedule sent by the user. The server analyzes the received data and prepares to generate the schedule. The data is saved in an appropriate format and passed to the schedule generation algorithm. Input: Data sent from the device. Output: Data passed to the schedule generation algorithm.

[1540] Step 3:

[1541] The emotion recognition engine uses the device's camera and microphone to collect the user's facial and voice data. The collected data is analyzed in real time to identify the user's emotional state (e.g., stress, positive, neutral). The results are sent to the server. Input: User's facial and voice data. Output: User's emotional state data.

[1542] Step 4:

[1543] The server generates a daily schedule for a given period based on the received child information and the user's emotional state data obtained from the emotion recognition engine. The schedule generation algorithm creates an optimal schedule based on the child's personality, laziness, and homework list. Input: Child information, user's emotional state data. Output: Generated schedule.

[1544] Step 5:

[1545] The server adjusts the generated schedule based on the user's emotional state. For example, if the user is feeling stressed, it reduces the amount of tasks per day, and if they are highly motivated, it adds additional tasks. The emotional state data is passed to a schedule adjustment algorithm, which adjusts the schedule accordingly. Input: Generated schedule, user's emotional state data. Output: Adjusted schedule.

[1546] Step 6:

[1547] The server sends the final generated and adjusted schedule to the terminal. The terminal receives the schedule and displays it so that the user can easily check it. The terminal interface has the function of displaying a list of tasks by day. Input: Adjusted schedule. Output: Schedule displayed on the terminal.

[1548] Step 7:

[1549] The user checks the schedule on the device and manually adjusts or adds additional information as necessary. The final schedule is confirmed with the user's confirmation and agreement. Input: Schedule on the device. Output: Schedule confirmed by the user.

[1550] 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.

[1551] 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.

[1552] 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.

[1553] 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.

[1554] 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.

[1555] 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.

[1556] 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).

[1557] 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.

[1558] 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."

[1559] 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.

[1560] 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).

[1561] 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.

[1562] 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.

[1563] 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.

[1564] 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.

[1565] 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.

[1566] 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.

[1567] 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.

[1568] 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.

[1569] 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.

[1570] 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.

[1571] The following is further disclosed regarding the above embodiment.

[1572] (Claim 1)

[1573] means for receiving information entered by a user;

[1574] means for generating a daily schedule for a predetermined period based on the information;

[1575] a means for displaying the generated schedule;

[1576] A system including:

[1577] (Claim 2)

[1578] 10. The system of claim 1, wherein said information includes a child's personality, laziness, and homework list.

[1579] (Claim 3)

[1580] 10. The system of claim 1, further comprising means for adjusting said daily schedule in response to a child's laziness.

[1581] "Example 1"

[1582] (Claim 1)

[1583] means for receiving information entered by a user;

[1584] means for generating a daily schedule for a predetermined period based on the information;

[1585] a means for generating a prompt sentence based on the information and transmitting a schedule generation request to the generative AI model;

[1586] A means for analyzing and formatting the schedule data received from the generative AI model;

[1587] a means for displaying the generated schedule;

[1588] A system including:

[1589] (Claim 2)

[1590] 10. The system of claim 1, wherein said information includes a child's personality, laziness, and homework list.

[1591] (Claim 3)

[1592] 10. The system of claim 1, further comprising means for adjusting said daily schedule in response to a child's laziness.

[1593] "Application Example 1"

[1594] (Claim 1)

[1595] means for receiving information entered by a user;

[1596] means for generating a daily schedule for a predetermined period based on the information;

[1597] a means for displaying the generated schedule;

[1598] A means of evenly allocating schedules to different days based on user-entered information and start and end dates;

[1599] means for displaying the schedule on a mobile device;

[1600] A system including:

[1601] (Claim 2)

[1602] said information including the child's personality, laziness, and homework list;

[1603] The system of claim 1 , wherein the mobile device is a smartphone or a tablet.

[1604] (Claim 3)

[1605] adjusting said daily schedule according to the child's laziness;

[1606] 2. The system according to claim 1, further comprising a means for parents to check in real time through a dedicated application.

[1607] "Example 2: Combining Emotion Engines"

[1608] (Claim 1)

[1609] means for receiving information entered by a user;

[1610] means for generating a daily schedule for a predetermined period based on the information;

[1611] a means for displaying the generated schedule;

[1612] means for recognizing the emotional state of a user;

[1613] means for adjusting a schedule based on said emotional state;

[1614] A system including:

[1615] (Claim 2)

[1616] 10. The system of claim 1, wherein said information includes a child's personality, laziness, and homework list.

[1617] (Claim 3)

[1618] 10. The system of claim 1, further comprising means for adjusting said daily schedule in response to a child's laziness.

[1619] (Claim 4)

[1620] 10. The system of claim 1, further comprising means for adjusting the schedule based on the emotional state of the user.

[1621] "Application example 2 when combining emotion engines"

[1622] (Claim 1)

[1623] means for receiving information entered by a user;

[1624] means for generating a daily schedule for a predetermined period based on the information;

[1625] means for recognizing a user's emotion;

[1626] means for adjusting the generated schedule based on the user's emotions;

[1627] a means for displaying the generated schedule;

[1628] A system including:

[1629] (Claim 2)

[1630] 10. The system of claim 1, wherein said information includes a child's personality, laziness, and homework list.

[1631] (Claim 3)

[1632] 10. The system of claim 1, further comprising means for adjusting said daily schedule in response to a child's laziness.

[1633] (Claim 4)

[1634] 10. The system of claim 1, wherein the generated schedule is integrated into a virtual store application.

[1635] (Claim 5)

[1636] 5. The system of claim 4, wherein the virtual store application is installed on a user's terminal.

[1637] (Claim 6)

[1638] 10. The system of claim 1, wherein the means for recognizing emotions comprises an emotion recognition engine that analyzes image and audio data. [Explanation of symbols]

[1639] 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. means for receiving information entered by a user; means for generating a daily schedule for a predetermined period based on the information; a means for displaying the generated schedule; A system including:

2. 2. The system of claim 1, further comprising means for said information to include a child's personality, laziness, and homework list.

3. 10. The system of claim 1, further comprising means for adjusting said daily schedule in response to a child's laziness.

Images