system

Abstract

We provide the system. [Solution] A data collection method for collecting usage history data from children's information terminals, A data processing means that analyzes collected data and generates a summary report for the parent, A content evaluation method for evaluating the content accessed by information terminals and determining its appropriateness, Filtering mechanisms to restrict access to inappropriate content and notify parents, A voice recognition means for parents to adjust filtering settings using voice input, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventional filtering systems have problems that it is difficult for parents to understand the usage status of their children's information terminals, the settings are complicated and not easily performed. Also, the filtering of inappropriate content is incomplete and often bothers parents. Furthermore, when parents adjust the filtering settings, many procedures are required, lacking convenience.

Means for Solving the Problems

[0005] This invention provides a means for collecting usage history data from a child's information terminal, analyzing that data using AI, and displaying it as a summary report in a format easily understandable to parents. Furthermore, it includes a content evaluation means that assesses the content the terminal attempts to access and determines its appropriateness, thereby providing a filtering means that blocks access to sites deemed inappropriate and simultaneously notifies the parent. In addition, it introduces a voice recognition means that allows parents to easily adjust filtering settings using voice input, making overall setting changes intuitive and quick.

[0006] "Data collection means" refers to the part of a system that has the functionality to acquire usage history data from a child's information terminal.

[0007] "Data processing means" refers to the part of the system that has the function of analyzing collected usage history data and generating a summary report in a format that is easy for parents to understand.

[0008] "Content evaluation means" refers to a part of a system that has the function of scanning the content that an information terminal is trying to access and determining its appropriateness.

[0009] "Filtering measures" refer to the part of a system that has the function of restricting access to content deemed inappropriate and notifying parents accordingly.

[0010] "Voice recognition means" refers to a part of the system that has the function of recognizing the voice input used by a parent when they adjust filtering settings using voice input, and reflecting that voice input in the settings.

[0011] "Configuration change mechanism" refers to a part of the system that has the function of automatically reflecting configuration changes made by the parent via voice input or other interfaces. [Brief explanation of the drawing]

[0012] [Figure 1]This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0013] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0016] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0018] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. 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), or Bluetooth (registered trademark).

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0023] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0025] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0032] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0033] This invention is implemented using a dedicated application installed on a child's information terminal. The terminal is equipped with data collection means and continuously records usage. The terminal transmits this data to a server at predetermined intervals. The server analyzes the received data using data processing means. This generates a report summarizing information such as which websites the child visited and which apps they used for how long.

[0034] The server uses content evaluation tools to determine the appropriateness of websites and content that children attempt to access. This evaluation includes matching against known inappropriate site information and understanding the context of the content. If the content is deemed inappropriate, the server uses filtering tools to block access and sends a notification to the parent.

[0035] Users (parents) can view reports on their children's usage and receive real-time notifications about filtering through their devices or a dedicated app. Through voice recognition, users can change filtering settings using voice commands. Parents can also set time limits for specific apps and restrict access to certain periods using voice input.

[0036] As a concrete example, if a child tries to access a new online game site one day, the URL is sent to the server by the device's content evaluation mechanism. The server recognizes that the content is game-related and evaluates whether it is safe and wholesome. If the evaluation determines that it is not inappropriate, access is permitted; however, if it is determined to be inappropriate, access is blocked, and the parent is notified of the summary and reason.

[0037] This system allows parents to efficiently manage their children's internet use, while also enabling children to safely access digital content.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The device collects usage history of all applications used and websites visited by the user (child). This includes app launch and exit times, and the URLs of each website. The device records this information and stores the data for periodic transmission.

[0041] Step 2:

[0042] The terminal sends the accumulated usage history data to the server at predetermined time intervals. The server receives this data and prepares to store it in its database.

[0043] Step 3:

[0044] The server analyzes the received data using data processing tools. The analysis classifies each usage history and identifies which apps and websites are frequently used. It then generates a summary report in a format easily viewable by parents and displays it on the parent interface.

[0045] Step 4:

[0046] When a device accesses a new website, its URL is automatically sent to the server's content evaluation system. The server compares this URL against a known database to assess its safety. This evaluation includes contextual analysis of the content using AI.

[0047] Step 5:

[0048] Based on the content evaluation results, the server uses filtering mechanisms to block access to content deemed inappropriate. Parents receive real-time notifications and are informed of the details of the content in question.

[0049] Step 6:

[0050] Users (parents) can check and change filtering settings through a dedicated app. Using voice recognition, when a parent issues a voice command, the server analyzes it and reflects the setting change in the system. For example, if the command is "Restrict the use of app X," the corresponding setting change will be made immediately.

[0051] (Example 1)

[0052] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0053] In today's world, children have increasing opportunities to access potentially dangerous online content through electronic devices they use daily. However, it is difficult for parents to constantly monitor and properly manage their children's internet activity. Therefore, there is a need to provide a safe and appropriate digital environment while offering a way for parents to easily monitor usage and take control as needed.

[0054] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0055] In this invention, the server includes information gathering means for collecting operation records from electronic devices, information analysis means for analyzing the collected information and generating a summary report for parents, and evaluation means for evaluating the content accessed by electronic devices and determining its appropriateness. This makes it possible for parents to easily monitor and manage their children's internet activity and protect them from inappropriate content.

[0056] "Electronic devices" refer to terminals such as computers, smartphones, and tablets that allow users to input and output information.

[0057] "Operation logs" refer to records of data regarding a user's browsing of websites and use of applications on an electronic device.

[0058] An "information gathering means" is a mechanism for acquiring operation records from electronic devices and storing them for analysis.

[0059] "Information analysis means" refers to the process of analyzing collected operation records and generating useful information, such as reports summarizing children's usage patterns.

[0060] "Evaluation means" refers to a function that checks the appropriateness of content accessed through electronic devices and determines whether the content provided to users is safe.

[0061] "Restriction measures" refer to a process that includes features to block access to content deemed inappropriate and to notify parents as necessary.

[0062] "Voice interpretation means" refers to technology that recognizes and analyzes voice commands given by parents, and uses that information to change settings in digital systems, etc.

[0063] The "adjustment means" is a function that automatically adjusts the settings of the entire system using commands recognized by the voice interpretation means.

[0064] This invention is a system for providing a safe internet environment for electronic devices used by children. Specific embodiments thereof are described below.

[0065] The device continuously records usage using a dedicated application installed on electronic devices that children use on a daily basis. This device is equipped with information collection means to collect user operation records, and stores browser history and application usage time in a database.

[0066] The terminal sends this operation log to the server at predetermined time intervals. The HTTPS protocol is used for this transmission to ensure security. Specifically, the terminal periodically checks the network connection, encrypts the data, and uploads it to the server.

[0067] The server analyzes the received data and generates a report outlining the child's usage. The analysis uses Python and the data analysis library Pandas. This allows the server to obtain detailed information about which websites the child visited and which apps they used and for how long.

[0068] The server uses evaluation tools to determine the appropriateness of the content a child is trying to access. This evaluation utilizes natural language processing libraries (e.g., NLTK) to assess safety by analyzing the context of the content.

[0069] If content is deemed inappropriate, the server will use restrictive measures to block access to it and send a notification to the parent. This notification will include the reason why the content was deemed inappropriate and its content, allowing the parent to take appropriate action based on the information.

[0070] Parents, as users, can adjust filter settings by giving voice commands using a dedicated app or voice recognition function. The voice recognition utilizes Google® Speech-to-Text API to analyze the voice commands spoken by the parent and immediately reflect them in the settings.

[0071] As a concrete example, consider a scenario where a child tries to access a new online game. The device sends the URL to a server, which automatically evaluates the game site. If the site is deemed safe, access is permitted; otherwise, the parent is notified.

[0072] Examples of prompts for a generative AI model:

[0073] Please explain the content evaluation and filtering process for when a child tries to access a new website.

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] The terminal collects user activity records using information gathering methods. It stores the user's website visit history and application usage time on the electronic device in the terminal's memory. The input is user activity data, and the output is local data recording this data.

[0077] Step 2:

[0078] The terminal sends the collected data to the server at predetermined intervals (e.g., every hour). By using the HTTPS protocol for data transmission, the input local data is securely encrypted and output to the server.

[0079] Step 3:

[0080] The server receives data sent from the terminal and analyzes it using information analysis tools. The input data is a record of user operations, and the server processes the data using Python or the Pandas library to output a summary report that includes statistics such as the usage time of each application and the number of web visits.

[0081] Step 4:

[0082] The server uses an evaluation tool to determine the suitability of the web content accessed by the user. The input is the URL of each site in the summary report, and the server analyzes the safety of the content using a natural language processing library and outputs the evaluation result.

[0083] Step 5:

[0084] Based on the evaluation results, the server uses filtering mechanisms to block access to content deemed inappropriate and notifies the parent. The input is the evaluation result, and the output is the update of the filtering settings and the sending of a notification message.

[0085] Step 6:

[0086] The user (parent) adjusts filtering settings via voice input through a speech recognition system. The input consists of the parent's voice commands, and the voice data, analyzed using the Google Speech-to-Text API, is output as filtering settings and automatically updated.

[0087] (Application Example 1)

[0088] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0089] In today's digital society, ensuring the appropriateness of the information children encounter online is crucial. However, it is not realistic for parents to directly monitor all of their children's online activities, and doing so could undermine their autonomy. Therefore, a balanced approach that combines monitoring with freedom is needed. Furthermore, it is essential to detect potential dangers early based on children's behavioral patterns and take appropriate action.

[0090] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0091] In this invention, the server includes data collection means for collecting behavioral history data from the child's device, content evaluation means for evaluating the information accessed by the device and determining its appropriateness, and behavioral analysis means for detecting anomalies based on the child's behavioral patterns and providing warnings to the parent. This makes possible an environment in which parents can effectively monitor and educate their children while ensuring the safety of their online activities.

[0092] "Child-use devices" refer to electronic devices used by children to access the internet or applications.

[0093] "Behavioral history data" refers to recorded information about the destinations and activities a child accessed while using a device.

[0094] "Data collection means" refers to a function or mechanism designed to collect behavioral history data from a child's device.

[0095] A "content evaluation tool" is a system that has an evaluation function to determine the appropriateness of the information accessed by the user's device.

[0096] "Filtering methods" refer to functions and mechanisms that restrict access to inappropriate information and notify parents.

[0097] "Voice recognition means" refers to a technology or mechanism for analyzing voice input and executing digital instructions.

[0098] "Behavioral analysis tools" refer to functions and technologies that analyze a child's behavioral patterns, detect abnormalities, and warn parents.

[0099] The embodiment of the invention is a system for parents to safely monitor and ensure the safety of their children's online activities. This system consists of a child's device, a server, and a parent's display device.

[0100] The devices used by children are equipped with a function to collect behavioral history data, which is then transmitted to a server. The devices also incorporate a content evaluation mechanism to check the appropriateness of the information, and if inappropriate information is detected by this mechanism, the server is immediately notified.

[0101] The server uses Google Cloud and AWS (registered trademark) to analyze the received behavioral history data. Specifically, the server uses data processing tools to generate summary reports and prepare information for provision to parents. It also utilizes behavioral analysis tools to detect abnormalities in the child's behavioral patterns. An example of a prompt message is, "Create a detailed report on the child's recent behavioral patterns."

[0102] Parents can instantly view activity history reports and notifications of inappropriate information on their display devices. Using voice recognition, parents can adjust filtering settings via voice commands. For example, if a child uses their device for a longer period than usual on a given day, this pattern is detected and a notification is sent to the parent stating, "Your child's online activity today has lasted longer than usual."

[0103] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0104] Step 1:

[0105] The device collects all activity history data from the child's device. As input, the device directly monitors the child's usage, recording website visits and application usage time. The output is a raw dataset of the collected activity history data.

[0106] Step 2:

[0107] The terminal sends the collected behavioral history data to the server at predetermined intervals. The behavioral history data obtained in step 1 is used as input. The data is converted to an appropriate format and sent to the server. The output is the data received by the server before analysis.

[0108] Step 3:

[0109] The server analyzes the received behavioral history data. The input is raw data sent from the device. The server processes the data and generates a profile of the behavioral pattern. The output is a summary report that is easy for parents to understand. If abnormal behavior is detected through this analysis, that information is specifically recorded.

[0110] Step 4:

[0111] The server performs behavioral analysis based on the collected data. This input is the behavioral pattern profile from step 3. The server uses an AI model to perform analysis in response to the generated prompt, "Create a detailed report on the child's recent behavioral patterns." The output is an anomaly detection report, and a warning is generated specifically for the parents.

[0112] Step 5:

[0113] The user receives reports and warnings in real time through the parent's display device. Inputs are summary reports and anomaly detection reports from the server. Outputs are display information in a format available to the parent, which can adjust filtering settings via voice based on this information.

[0114] Step 6:

[0115] The user adjusts the filtering settings of their device using voice input. The input is the parent's voice command, which is analyzed through voice recognition and used to issue instructions for adjusting the settings. The output is an update of the filtering settings on the child's device.

[0116] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0117] This invention operates primarily through an application installed on a child's information terminal. The terminal continuously records the child's usage history via data collection means. This data is periodically transferred to a server. The server uses data processing means to summarize the received data into reports for parents. These reports can be viewed by parents through a dedicated application.

[0118] The server is equipped with content evaluation capabilities. Upon receiving an access request from a device, it uses AI to determine the appropriateness of the content. Content deemed inappropriate as a result of the evaluation is blocked by filtering mechanisms. Parents are notified of the details and may be required to make additional decisions or change settings.

[0119] Furthermore, an emotion engine is incorporated that analyzes parental voice input and facial expressions in real time. This allows the voice recognition system to determine the parent's emotional state and make appropriate suggestions for filtering settings. For example, if a parent expresses dissatisfaction with too many restricted apps, the emotion engine will offer suggestions to alleviate the burden.

[0120] For example, if a child attempts to visit a new entertainment website, access will be immediately blocked if the site is on a known list of inappropriate content. Simultaneously, the server sends a notification of this event to the parent's device, reporting the details. When the parent receives this notification, their reaction is analyzed by an emotion engine, which then provides a quick response.

[0121] This system allows parents to more effectively manage their children's use of digital devices while simultaneously ensuring children have a safe and appropriate digital experience. The emotional engine's ability to understand parents' states of mind helps make this management process more natural and efficient.

[0122] The following describes the processing flow.

[0123] Step 1:

[0124] The device collects real-time usage history of applications and websites used by children. This includes URLs accessed and app usage time. This collected data is stored locally for later analysis.

[0125] Step 2:

[0126] The device periodically sends collected data to the server. The server sorts the received data and prepares it for storage in the usage history database. This data is important for creating summary reports for the parent device.

[0127] Step 3:

[0128] The server uses data processing tools to analyze the collected data. This analysis identifies frequently used apps and frequently visited websites. Based on this, a visually easy-to-understand summary report is generated and displayed in the user interface.

[0129] Step 4:

[0130] When a device attempts to access a new website, its URL is sent to the server's content evaluation system. The server then compares this URL against existing databases and AI algorithms to determine whether the content is appropriate.

[0131] Step 5:

[0132] If the server determines that the content is inappropriate, it will block access to that website using filtering mechanisms. It will also notify the parent's device of the details of the blocked content and the reason for the blockage. The parent receives this notification in real time and can consider any necessary countermeasures.

[0133] Step 6:

[0134] The user (parent) can adjust system settings using voice input via a dedicated app. The server's emotion engine analyzes the parent's voice input and facial expressions to determine the parent's emotional state.

[0135] Step 7:

[0136] The server utilizes the analysis results from the emotion engine to suggest adjustments to filtering settings based on the parent's emotions. For example, it automatically makes suggestions to reduce the burden or to lift usage restrictions during specific time periods. In this way, it supports parents in managing their children's use of information devices more flexibly.

[0137] (Example 2)

[0138] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0139] In recent years, the number of information and communication devices used by children has increased, making their safe use a critical issue. Parents want to monitor their children's digital lives, but this is a complex and burdensome task. Furthermore, simply filtering content is not enough; flexible responses tailored to each child's usage are required. Therefore, there is a need to develop a system that reduces the burden on parents while allowing children to use devices safely.

[0140] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0141] In this invention, the server includes information acquisition means, information processing means, resource evaluation means, restriction means, voice analysis means, and emotion analysis means. This makes it possible to efficiently collect information on children's device usage and report it to parents in an easy-to-understand manner. Furthermore, by restricting access to inappropriate information and suggesting flexible setting changes based on the parents' emotional state, it becomes possible to provide a safer and more comfortable digital environment.

[0142] "User's device" refers to information and communication equipment used by children for learning or entertainment.

[0143] "Usage history information" refers to historical data of digital activities, including records of application usage and website access on a device.

[0144] "Information acquisition means" refers to functions and processes for collecting usage history information from user terminals.

[0145] "Information processing means" refers to a function that analyzes acquired usage history information and generates a summary report to help parents understand the situation.

[0146] "Information resources" refer to digital information, including content and services on the internet that users can access.

[0147] "Resource evaluation methods" refer to processes and technologies for assessing the content of information resources and evaluating their appropriateness and safety.

[0148] "Restriction measures" refer to functions that restrict access to inappropriate information resources based on evaluation and notify parents.

[0149] "Voice analysis means" refers to technology that analyzes the voice input of parents and uses it to adjust filtering settings.

[0150] "Emotional analysis means" refers to technology that analyzes the emotional state of parents and suggests changes to filtering settings based on that analysis.

[0151] This invention is implemented through an application installed on an information and communication terminal used by the user. The terminal uses a dedicated information acquisition means to record the user's usage history information in real time and temporarily store it internally. This record includes application usage status, website visit history, etc. This information is periodically transferred to a server via a securely encrypted communication protocol.

[0152] The server analyzes the received usage history information using a dedicated information processing system and generates a summary report for parents. The report shows trends in the user's digital activity, and parents can view it through a dedicated app.

[0153] Furthermore, the server assesses information resources using resource evaluation tools. It determines the appropriateness of information resources requested for access from a user's terminal, and if deemed inappropriate, it blocks access using restriction measures. The reason and details of this block are notified to the parent / guardian in real time.

[0154] Furthermore, the system utilizes voice input from parents, as well as voice analysis and emotion analysis tools to analyze the parents' emotional state. Based on this information, the server dynamically provides suggestions for improving the filtering settings.

[0155] For example, if a child attempts to visit a new website and the site is deemed inappropriate, the server will immediately restrict access. Simultaneously, a notification detailing the reason for this restriction is sent to the parent. At the time of this notification, the parent's response is analyzed using sentiment analysis tools, and any necessary adjustments to settings are suggested.

[0156] An example of a prompt message would be: "Please explain the systems in place to ensure children can use the internet safely. I would especially like to know more about content rating and parental notification processes."

[0157] In this way, the invention makes it possible to achieve both safe internet use for users and a reduction in the burden on parents.

[0158] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0159] Step 1:

[0160] The device collects usage history information. As input, it receives information about the applications used and websites accessed by the user. This data is collected by the device's internal information acquisition mechanisms and temporarily stored in the device's memory. Specifically, it monitors background processes of applications running on the device and records that information.

[0161] Step 2:

[0162] The terminal transfers collected usage history information to the server. The input is the usage history stored in temporary memory, and the data is sent to the server using an encrypted communication protocol. The output is the usage history data received on the server side. Specifically, data transfer is performed by a scheduled job that is triggered periodically.

[0163] Step 3:

[0164] The server analyzes usage history data and generates reports for parents. The input is usage history data received from the device; the data is analyzed using information processing tools to extract trends. The output is a summary report provided to parents. Specifically, data mining techniques are used to calculate app usage frequency and website dwell time.

[0165] Step 4:

[0166] The server evaluates information resources and restricts inappropriate content. The input is an access request to an information resource from a terminal. Using resource evaluation tools, the server determines the appropriateness of the resource, and if deemed inappropriate, restricts access. The output is a notification that access was blocked and the reason for the blockage. Specifically, it utilizes an AI model to evaluate content and makes decisions based on predefined safety criteria.

[0167] Step 5:

[0168] The user receives a notification and adjusts the filtering settings. The input is a notification from the server, and the settings are adjusted by receiving voice input via a voice analysis device. The output is the updated filtering settings. Specifically, the system uses sentiment analysis to understand the user's emotional state and suggests setting changes based on the user's expressed dissatisfaction.

[0169] Step 6:

[0170] The server uses emotion analysis to suggest filtering settings based on user feedback. Inputs include user emotion data and voice input, and output provides recommended settings for the user. Specifically, it collects user voice and facial expressions, analyzes them in real time, and generates an optimal setting plan to reduce user burden.

[0171] (Application Example 2)

[0172] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0173] In today's digital environment, ensuring children's safe internet use is a major challenge for parents. It's not just about preventing access to inappropriate content; it's also about enabling parents to properly understand and manage their children's internet usage. Furthermore, a system is needed that reduces the emotional burden on parents and allows them to set restrictions naturally and effectively.

[0174] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0175] In this invention, the server includes data acquisition means for collecting operation history data from electronic devices used by children, data analysis means for analyzing the acquired data and generating a summary report for parents, and sentiment analysis means for analyzing the parents' emotional state and suggesting appropriate modifications to blocking settings. This enables parents to effectively manage their children's internet use, protect them from inappropriate content, and reduce their own burden.

[0176] "Electronic devices for children" refers to information terminals that children use on a daily basis, and includes smartphones and tablets.

[0177] "Action history data" is a general term for data that records a child's behavioral patterns, access history, and information about the applications they use when using electronic devices.

[0178] "Data acquisition means" refers to a function or technology for automatically collecting operation history data from electronic devices for children.

[0179] "Data analysis means" refers to a function or technology that analyzes collected behavioral history data and creates a summary report in a format that is easy for parents to understand.

[0180] "Information resources" is a general term for content accessed through websites and applications on the internet.

[0181] "Information evaluation means" refers to a function or technology for automatically evaluating whether accessed information resources are appropriate.

[0182] "Blocking measures" refer to functions or technologies used to restrict access to information resources deemed inappropriate.

[0183] "Voice input" refers to a method in which parents give instructions or change settings to electronic devices using their voice.

[0184] "Speech recognition means" refers to a technology or system for analyzing spoken audio and understanding its content.

[0185] "Emotional analysis means" refers to a technology or function that analyzes a parent's voice and facial expressions in real time to determine the parent's emotional state.

[0186] The system for implementing this invention mainly consists of a server and an electronic device for children. The server continuously collects operation history data received from the child's electronic device and manages it using data acquisition means. The server analyzes this operation history data using data analysis means and generates an easy-to-understand summary report for the parent.

[0187] The information evaluation means evaluates the information resources accessed by the electronic device in real time and determines their appropriateness. Information resources deemed inappropriate are immediately restricted from access by the blocking means. The reason for blocking is notified to the parent's display device so that the parent can understand the situation.

[0188] Furthermore, verbal input from parents using voice is analyzed by speech recognition technology, allowing for adjustment of settings. The server analyzes the parent's emotions through this verbal input using emotion analysis technology and makes suggestions to help the parent appropriately adjust filtering settings. For example, if a parent expresses dissatisfaction with the number of restrictions, the server analyzes this reaction and presents situation-appropriate modification suggestions.

[0189] For example, if a child is using an online video platform and that platform is on a list of inappropriate content, access is immediately blocked and a notification is sent to the parent. The parent can then give verbal instructions to choose the next action.

[0190] An example of a prompt using a generative AI model is, "Analyze parental emotions and generate suggestions for an online activity monitoring application."

[0191] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0192] Step 1:

[0193] The server retrieves activity history data from the child's device. It collects records of websites accessed and applications used by the device and sends this data to the server. The input is the access log from the device, and the output is the activity history data stored on the server. This data is used for later analysis.

[0194] Step 2:

[0195] The server analyzes the behavioral history data acquired using data analysis tools. This analysis includes extracting behavioral patterns and analyzing usage frequency. The input is the behavioral history data obtained in step 1, and the output is a summary report for the parent. This report is created in a format that the parent can view using a dedicated application.

[0196] Step 3:

[0197] When a terminal accesses a new information resource, the server uses an information evaluation mechanism to determine the appropriateness of that resource. It compares it against a database of known inappropriate information to assess its appropriateness. The input is the URL of the information resource and related metadata, and the output is the result of the appropriateness determination.

[0198] Step 4:

[0199] If the server determines that the result of the information evaluation means is inappropriate, it restricts access using the blocking means. Access restriction is implemented, and a notification is sent to the parent device. The input is the result of the evaluation in step 3, and the output is a notification regarding the blocking of access and the reason for it.

[0200] Step 5:

[0201] When a parent provides verbal input, the device analyzes the voice using speech recognition technology. The analyzed voice data is then reflected in the settings changes. The input is the parent's voice command, and the output is the updated filtering settings.

[0202] Step 6:

[0203] The server uses emotion analysis tools to determine the parent's emotional state from their voice and facial expressions. For example, if the parent is feeling dissatisfied or confused, setting suggestions based on that emotional state are automatically generated. The input is voice and facial expression data, and the output is setting suggestions based on the emotional state.

[0204] Step 7:

[0205] The server generates suggestions based on sentiment analysis using an AI model. These suggestions, based on the prompt, are then displayed to the user. The input is the result of the sentiment analysis, and the output is the generated suggestion. Specifically, the server provides the AI ​​model with the prompt, "Analyze the parent's emotions and generate a suggestion for an online activity monitoring application."

[0206] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0207] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0208] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0209] [Second Embodiment]

[0210] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0211] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0212] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0213] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0214] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0215] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0216] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0217] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0218] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0219] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0220] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0221] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0222] This invention is implemented using a dedicated application installed on a child's information terminal. The terminal is equipped with data collection means and continuously records usage. The terminal transmits this data to a server at predetermined intervals. The server analyzes the received data using data processing means. This generates a report summarizing information such as which websites the child visited and which apps they used for how long.

[0223] The server uses content evaluation tools to determine the appropriateness of websites and content that children attempt to access. This evaluation includes matching against known inappropriate site information and understanding the context of the content. If the content is deemed inappropriate, the server uses filtering tools to block access and sends a notification to the parent.

[0224] Users (parents) can view reports on their children's usage and receive real-time notifications about filtering through their devices or a dedicated app. Through voice recognition, users can change filtering settings using voice commands. Parents can also set time limits for specific apps and restrict access to certain periods using voice input.

[0225] As a concrete example, if a child tries to access a new online game site one day, the URL is sent to the server by the device's content evaluation mechanism. The server recognizes that the content is game-related and evaluates whether it is safe and wholesome. If the evaluation determines that it is not inappropriate, access is permitted; however, if it is determined to be inappropriate, access is blocked, and the parent is notified of the summary and reason.

[0226] This system allows parents to efficiently manage their children's internet use, while also enabling children to safely access digital content.

[0227] The following describes the processing flow.

[0228] Step 1:

[0229] The device collects usage history of all applications used and websites visited by the user (child). This includes app launch and exit times, and the URLs of each website. The device records this information and stores the data for periodic transmission.

[0230] Step 2:

[0231] The terminal sends the accumulated usage history data to the server at predetermined time intervals. The server receives this data and prepares to store it in its database.

[0232] Step 3:

[0233] The server analyzes the received data using data processing tools. The analysis classifies each usage history and identifies which apps and websites are frequently used. It then generates a summary report in a format easily viewable by parents and displays it on the parent interface.

[0234] Step 4:

[0235] When a device accesses a new website, its URL is automatically sent to the server's content evaluation system. The server compares this URL against a known database to assess its safety. This evaluation includes contextual analysis of the content using AI.

[0236] Step 5:

[0237] Based on the content evaluation results, the server uses filtering mechanisms to block access to content deemed inappropriate. Parents receive real-time notifications and are informed of the details of the content in question.

[0238] Step 6:

[0239] Users (parents) can check and change filtering settings through a dedicated app. Using voice recognition, when a parent issues a voice command, the server analyzes it and reflects the setting change in the system. For example, if the command is "Restrict the use of app X," the corresponding setting change will be made immediately.

[0240] (Example 1)

[0241] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0242] In today's world, children have increasing opportunities to access potentially dangerous online content through electronic devices they use daily. However, it is difficult for parents to constantly monitor and properly manage their children's internet activity. Therefore, there is a need to provide a safe and appropriate digital environment while offering a way for parents to easily monitor usage and take control as needed.

[0243] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0244] In this invention, the server includes information gathering means for collecting operation records from electronic devices, information analysis means for analyzing the collected information and generating a summary report for parents, and evaluation means for evaluating the content accessed by electronic devices and determining its appropriateness. This makes it possible for parents to easily monitor and manage their children's internet activity and protect them from inappropriate content.

[0245] "Electronic devices" refer to terminals such as computers, smartphones, and tablets that allow users to input and output information.

[0246] "Operation logs" refer to records of data regarding a user's browsing of websites and use of applications on an electronic device.

[0247] An "information gathering means" is a mechanism for acquiring operation records from electronic devices and storing them for analysis.

[0248] "Information analysis means" refers to the process of analyzing collected operation records and generating useful information, such as reports summarizing children's usage patterns.

[0249] "Evaluation means" refers to a function that checks the appropriateness of content accessed through electronic devices and determines whether the content provided to users is safe.

[0250] "Restriction measures" refer to a process that includes features to block access to content deemed inappropriate and to notify parents as necessary.

[0251] "Voice interpretation means" refers to technology that recognizes and analyzes voice commands given by parents, and uses that information to change settings in digital systems, etc.

[0252] The "adjustment means" is a function that automatically adjusts the settings of the entire system using commands recognized by the voice interpretation means.

[0253] This invention is a system for providing a safe internet environment for electronic devices used by children. Specific embodiments thereof are described below.

[0254] The device continuously records usage using a dedicated application installed on electronic devices that children use on a daily basis. This device is equipped with information collection means to collect user operation records, and stores browser history and application usage time in a database.

[0255] The terminal sends this operation log to the server at predetermined time intervals. The HTTPS protocol is used for this transmission to ensure security. Specifically, the terminal periodically checks the network connection, encrypts the data, and uploads it to the server.

[0256] The server analyzes the received data and generates a report outlining the child's usage. The analysis uses Python and the data analysis library Pandas. This allows the server to obtain detailed information about which websites the child visited and which apps they used and for how long.

[0257] The server uses evaluation tools to determine the appropriateness of the content a child is trying to access. This evaluation utilizes natural language processing libraries (e.g., NLTK) to assess safety by analyzing the context of the content.

[0258] If content is deemed inappropriate, the server will use restrictive measures to block access to it and send a notification to the parent. This notification will include the reason why the content was deemed inappropriate and its content, allowing the parent to take appropriate action based on the information.

[0259] Parents, as users, can adjust filter settings by giving voice commands using a dedicated app or voice recognition function. The Google Speech-to-Text API is used for voice recognition, analyzing the voice commands spoken by the parent and immediately reflecting them in the settings.

[0260] As a concrete example, consider a scenario where a child tries to access a new online game. The device sends the URL to a server, which automatically evaluates the game site. If the site is deemed safe, access is permitted; otherwise, the parent is notified.

[0261] Examples of prompts for a generative AI model:

[0262] Please explain the content evaluation and filtering process for when a child tries to access a new website.

[0263] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0264] Step 1:

[0265] The terminal collects user activity records using information gathering methods. It stores the user's website visit history and application usage time on the electronic device in the terminal's memory. The input is user activity data, and the output is local data recording this data.

[0266] Step 2:

[0267] The terminal sends the collected data to the server at predetermined intervals (e.g., every hour). By using the HTTPS protocol for data transmission, the input local data is securely encrypted and output to the server.

[0268] Step 3:

[0269] The server receives data sent from the terminal and analyzes it using information analysis tools. The input data is a record of user operations, and the server processes the data using Python or the Pandas library to output a summary report that includes statistics such as the usage time of each application and the number of web visits.

[0270] Step 4:

[0271] The server uses an evaluation tool to determine the suitability of the web content accessed by the user. The input is the URL of each site in the summary report, and the server analyzes the safety of the content using a natural language processing library and outputs the evaluation result.

[0272] Step 5:

[0273] Based on the evaluation results, the server uses filtering mechanisms to block access to content deemed inappropriate and notifies the parent. The input is the evaluation result, and the output is the update of the filtering settings and the sending of a notification message.

[0274] Step 6:

[0275] The user (parent) adjusts filtering settings via voice input through a speech recognition system. The input consists of the parent's voice commands, and the voice data, analyzed using the Google Speech-to-Text API, is output as filtering settings and automatically updated.

[0276] (Application Example 1)

[0277] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0278] In today's digital society, ensuring the appropriateness of the information children encounter online is crucial. However, it is not realistic for parents to directly monitor all of their children's online activities, and doing so could undermine their autonomy. Therefore, a balanced approach that combines monitoring with freedom is needed. Furthermore, it is essential to detect potential dangers early based on children's behavioral patterns and take appropriate action.

[0279] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0280] In this invention, the server includes data collection means for collecting behavioral history data from the child's device, content evaluation means for evaluating the information accessed by the device and determining its appropriateness, and behavioral analysis means for detecting anomalies based on the child's behavioral patterns and providing warnings to the parent. This makes possible an environment in which parents can effectively monitor and educate their children while ensuring the safety of their online activities.

[0281] "Child-use devices" refer to electronic devices used by children to access the internet or applications.

[0282] "Behavioral history data" refers to recorded information about the destinations and activities a child accessed while using a device.

[0283] "Data collection means" refers to a function or mechanism designed to collect behavioral history data from a child's device.

[0284] The "Content Evaluation Means" is a mechanism with an evaluation function for determining the appropriateness of information accessed by the user device.

[0285] The "Filtering Means" is a function or mechanism for restricting access to inappropriate information and notifying the parent.

[0286] The "Speech Recognition Means" is a technology or mechanism for analyzing voice input and executing digital instructions.

[0287] The "Behavior Analysis Means" is a function or technology for analyzing a child's behavior pattern, detecting abnormalities, and warning the parent.

[0288] The mode for implementing the invention is a system for enabling parents to monitor their children's online activities with confidence and ensure safety. This system consists of a child's user device, a server, and a parent's display device.

[0289] The child's user device has a function for collecting behavior history data, and these data are transmitted to the server. The user device incorporates content evaluation means for checking the appropriateness of information, and when inappropriate information is detected by this means, it is immediately notified to the server.

[0290] The server uses Google Cloud or AWS to analyze the received behavior history data. Specifically, the server uses data processing means to generate a summary report and prepare information for providing to the parent. Also, by utilizing the behavior analysis means, abnormalities in the child's behavior pattern are detected. An example of a prompt sentence is "Create a detailed report on the recent behavior pattern of the child."

[0291] Parents can instantly view activity history reports and notifications of inappropriate information on their display devices. Using voice recognition, parents can adjust filtering settings via voice commands. For example, if a child uses their device for a longer period than usual on a given day, this pattern is detected and a notification is sent to the parent stating, "Your child's online activity today has lasted longer than usual."

[0292] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0293] Step 1:

[0294] The device collects all activity history data from the child's device. As input, the device directly monitors the child's usage, recording website visits and application usage time. The output is a raw dataset of the collected activity history data.

[0295] Step 2:

[0296] The terminal sends the collected behavioral history data to the server at predetermined intervals. The behavioral history data obtained in step 1 is used as input. The data is converted to an appropriate format and sent to the server. The output is the data received by the server before analysis.

[0297] Step 3:

[0298] The server analyzes the received behavioral history data. The input is raw data sent from the device. The server processes the data and generates a profile of the behavioral pattern. The output is a summary report that is easy for parents to understand. If abnormal behavior is detected through this analysis, that information is specifically recorded.

[0299] Step 4:

[0300] The server performs behavioral analysis based on the collected data. This input is the behavioral pattern profile from step 3. The server uses an AI model to perform analysis in response to the generated prompt, "Create a detailed report on the child's recent behavioral patterns." The output is an anomaly detection report, and a warning is generated specifically for the parents.

[0301] Step 5:

[0302] The user receives reports and warnings in real time through the parent's display device. Inputs are summary reports and anomaly detection reports from the server. Outputs are display information in a format available to the parent, which can adjust filtering settings via voice based on this information.

[0303] Step 6:

[0304] The user adjusts the filtering settings of their device using voice input. The input is the parent's voice command, which is analyzed through voice recognition and used to issue instructions for adjusting the settings. The output is an update of the filtering settings on the child's device.

[0305] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0306] This invention operates primarily through an application installed on a child's information terminal. The terminal continuously records the child's usage history via data collection means. This data is periodically transferred to a server. The server uses data processing means to summarize the received data into reports for parents. These reports can be viewed by parents through a dedicated application.

[0307] The server is equipped with content evaluation means. When it receives an access request sent from the terminal, it uses AI to determine the validity of the content. As a result of the evaluation, the content determined to be inappropriate is blocked by the filtering means. The parents are notified of the details and may be required to make additional judgments or change settings.

[0308] Furthermore, an emotion engine is incorporated to analyze the voice input and expressions of the parents in real time. Thereby, the voice recognition means can determine the emotional state of the parents and make appropriate proposals for filtering settings. For example, when there are too many apps with usage restrictions and the parents show dissatisfaction, the emotion engine presents proposals to reduce the burden.

[0309] As a specific example, when a child tries to visit a new entertainment website, if this site is on the known inappropriate judgment list, the access will be blocked immediately. At the same time, the server sends a notification of this event to the parent's device and reports the details. When the parent receives this notification, the emotion engine analyzes the reaction and provides a prompt response measure.

[0310] This system enables parents to manage the use of their children's information terminals more effectively, while allowing children to have a safe and appropriate digital experience. Understanding the parents' state by the emotion engine helps to make this management process more natural and efficient.

[0311] The following describes the processing flow.

[0312] Step 1:

[0313] The terminal collects the usage history of the applications and websites used by the child in real time. This includes the accessed URLs, the usage time of the apps, etc. The collected data is saved locally for later analysis.

[0314] Step 2:

[0315] The device periodically sends collected data to the server. The server sorts the received data and prepares it for storage in the usage history database. This data is important for creating summary reports for the parent device.

[0316] Step 3:

[0317] The server uses data processing tools to analyze the collected data. This analysis identifies frequently used apps and frequently visited websites. Based on this, a visually easy-to-understand summary report is generated and displayed in the user interface.

[0318] Step 4:

[0319] When a device attempts to access a new website, its URL is sent to the server's content evaluation system. The server then compares this URL against existing databases and AI algorithms to determine whether the content is appropriate.

[0320] Step 5:

[0321] If the server determines that the content is inappropriate, it will block access to that website using filtering mechanisms. It will also notify the parent's device of the details of the blocked content and the reason for the blockage. The parent receives this notification in real time and can consider any necessary countermeasures.

[0322] Step 6:

[0323] The user (parent) can adjust system settings using voice input via a dedicated app. The server's emotion engine analyzes the parent's voice input and facial expressions to determine the parent's emotional state.

[0324] Step 7:

[0325] The server utilizes the analysis results from the emotion engine to suggest adjustments to filtering settings based on the parent's emotions. For example, it automatically makes suggestions to reduce the burden or to lift usage restrictions during specific time periods. In this way, it supports parents in managing their children's use of information devices more flexibly.

[0326] (Example 2)

[0327] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0328] In recent years, the number of information and communication devices used by children has increased, making their safe use a critical issue. Parents want to monitor their children's digital lives, but this is a complex and burdensome task. Furthermore, simply filtering content is not enough; flexible responses tailored to each child's usage are required. Therefore, there is a need to develop a system that reduces the burden on parents while allowing children to use devices safely.

[0329] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0330] In this invention, the server includes information acquisition means, information processing means, resource evaluation means, restriction means, voice analysis means, and emotion analysis means. This makes it possible to efficiently collect information on children's device usage and report it to parents in an easy-to-understand manner. Furthermore, by restricting access to inappropriate information and suggesting flexible setting changes based on the parents' emotional state, it becomes possible to provide a safer and more comfortable digital environment.

[0331] "User's device" refers to information and communication equipment used by children for learning or entertainment.

[0332] "Usage history information" refers to historical data of digital activities, including records of application usage and website access on a device.

[0333] "Information acquisition means" refers to functions and processes for collecting usage history information from user terminals.

[0334] "Information processing means" refers to a function that analyzes acquired usage history information and generates a summary report to help parents understand the situation.

[0335] "Information resources" refer to digital information, including content and services on the internet that users can access.

[0336] "Resource evaluation methods" refer to processes and technologies for assessing the content of information resources and evaluating their appropriateness and safety.

[0337] "Restriction measures" refer to functions that restrict access to inappropriate information resources based on evaluation and notify parents.

[0338] "Voice analysis means" refers to technology that analyzes the voice input of parents and uses it to adjust filtering settings.

[0339] "Emotional analysis means" refers to technology that analyzes the emotional state of parents and suggests changes to filtering settings based on that analysis.

[0340] This invention is implemented through an application installed on an information and communication terminal used by the user. The terminal uses a dedicated information acquisition means to record the user's usage history information in real time and temporarily store it internally. This record includes application usage status, website visit history, etc. This information is periodically transferred to a server via a securely encrypted communication protocol.

[0341] The server analyzes the received usage history information using a dedicated information processing system and generates a summary report for parents. The report shows trends in the user's digital activity, and parents can view it through a dedicated app.

[0342] Furthermore, the server assesses information resources using resource evaluation tools. It determines the appropriateness of information resources requested for access from a user's terminal, and if deemed inappropriate, it blocks access using restriction measures. The reason and details of this block are notified to the parent / guardian in real time.

[0343] Furthermore, the system utilizes voice input from parents, as well as voice analysis and emotion analysis tools to analyze the parents' emotional state. Based on this information, the server dynamically provides suggestions for improving the filtering settings.

[0344] For example, if a child attempts to visit a new website and the site is deemed inappropriate, the server will immediately restrict access. Simultaneously, a notification detailing the reason for this restriction is sent to the parent. At the time of this notification, the parent's response is analyzed using sentiment analysis tools, and any necessary adjustments to settings are suggested.

[0345] An example of a prompt message would be: "Please explain the systems in place to ensure children can use the internet safely. I would especially like to know more about content rating and parental notification processes."

[0346] In this way, the invention makes it possible to achieve both safe internet use for users and a reduction in the burden on parents.

[0347] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0348] Step 1:

[0349] The device collects usage history information. As input, it receives information about the applications used and websites accessed by the user. This data is collected by the device's internal information acquisition mechanisms and temporarily stored in the device's memory. Specifically, it monitors background processes of applications running on the device and records that information.

[0350] Step 2:

[0351] The terminal transfers collected usage history information to the server. The input is the usage history stored in temporary memory, and the data is sent to the server using an encrypted communication protocol. The output is the usage history data received on the server side. Specifically, data transfer is performed by a scheduled job that is triggered periodically.

[0352] Step 3:

[0353] The server analyzes usage history data and generates reports for parents. The input is usage history data received from the device; the data is analyzed using information processing tools to extract trends. The output is a summary report provided to parents. Specifically, data mining techniques are used to calculate app usage frequency and website dwell time.

[0354] Step 4:

[0355] The server evaluates information resources and restricts inappropriate content. The input is an access request to an information resource from a terminal. Using resource evaluation tools, the server determines the appropriateness of the resource, and if deemed inappropriate, restricts access. The output is a notification that access was blocked and the reason for the blockage. Specifically, it utilizes an AI model to evaluate content and makes decisions based on predefined safety criteria.

[0356] Step 5:

[0357] The user receives a notification and adjusts the filtering settings. The input is a notification from the server, and the settings are adjusted by receiving voice input via a voice analysis device. The output is the updated filtering settings. Specifically, the system uses sentiment analysis to understand the user's emotional state and suggests setting changes based on the user's expressed dissatisfaction.

[0358] Step 6:

[0359] The server uses emotion analysis to suggest filtering settings based on user feedback. Inputs include user emotion data and voice input, and output provides recommended settings for the user. Specifically, it collects user voice and facial expressions, analyzes them in real time, and generates an optimal setting plan to reduce user burden.

[0360] (Application Example 2)

[0361] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0362] In today's digital environment, ensuring children's safe internet use is a major challenge for parents. It's not just about preventing access to inappropriate content; it's also about enabling parents to properly understand and manage their children's internet usage. Furthermore, a system is needed that reduces the emotional burden on parents and allows them to set restrictions naturally and effectively.

[0363] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0364] In this invention, the server includes data acquisition means for collecting operation history data from electronic devices used by children, data analysis means for analyzing the acquired data and generating a summary report for parents, and sentiment analysis means for analyzing the parents' emotional state and suggesting appropriate modifications to blocking settings. This enables parents to effectively manage their children's internet use, protect them from inappropriate content, and reduce their own burden.

[0365] "Electronic devices for children" refers to information terminals that children use on a daily basis, and includes smartphones and tablets.

[0366] "Action history data" is a general term for data that records a child's behavioral patterns, access history, and information about the applications they use when using electronic devices.

[0367] "Data acquisition means" refers to a function or technology for automatically collecting operation history data from electronic devices for children.

[0368] "Data analysis means" refers to a function or technology that analyzes collected behavioral history data and creates a summary report in a format that is easy for parents to understand.

[0369] "Information resources" is a general term for content accessed through websites and applications on the internet.

[0370] "Information evaluation means" refers to a function or technology for automatically evaluating whether accessed information resources are appropriate.

[0371] "Blocking measures" refer to functions or technologies used to restrict access to information resources deemed inappropriate.

[0372] "Voice input" refers to a method in which parents give instructions or change settings to electronic devices using their voice.

[0373] "Speech recognition means" refers to a technology or system for analyzing spoken audio and understanding its content.

[0374] "Emotional analysis means" refers to a technology or function that analyzes a parent's voice and facial expressions in real time to determine the parent's emotional state.

[0375] The system for implementing this invention mainly consists of a server and an electronic device for children. The server continuously collects operation history data received from the child's electronic device and manages it using data acquisition means. The server analyzes this operation history data using data analysis means and generates an easy-to-understand summary report for the parent.

[0376] The information evaluation means evaluates the information resources accessed by the electronic device in real time and determines their appropriateness. Information resources deemed inappropriate are immediately restricted from access by the blocking means. The reason for blocking is notified to the parent's display device so that the parent can understand the situation.

[0377] Furthermore, verbal input from parents using voice is analyzed by speech recognition technology, allowing for adjustment of settings. The server analyzes the parent's emotions through this verbal input using emotion analysis technology and makes suggestions to help the parent appropriately adjust filtering settings. For example, if a parent expresses dissatisfaction with the number of restrictions, the server analyzes this reaction and presents situation-appropriate modification suggestions.

[0378] For example, if a child is using an online video platform and that platform is on a list of inappropriate content, access is immediately blocked and a notification is sent to the parent. The parent can then give verbal instructions to choose the next action.

[0379] An example of a prompt using a generative AI model is, "Analyze parental emotions and generate suggestions for an online activity monitoring application."

[0380] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0381] Step 1:

[0382] The server retrieves activity history data from the child's device. It collects records of websites accessed and applications used by the device and sends this data to the server. The input is the access log from the device, and the output is the activity history data stored on the server. This data is used for later analysis.

[0383] Step 2:

[0384] The server analyzes the behavioral history data acquired using data analysis tools. This analysis includes extracting behavioral patterns and analyzing usage frequency. The input is the behavioral history data obtained in step 1, and the output is a summary report for the parent. This report is created in a format that the parent can view using a dedicated application.

[0385] Step 3:

[0386] When a terminal accesses a new information resource, the server uses an information evaluation mechanism to determine the appropriateness of that resource. It compares it against a database of known inappropriate information to assess its appropriateness. The input is the URL of the information resource and related metadata, and the output is the result of the appropriateness determination.

[0387] Step 4:

[0388] If the server determines that the result of the information evaluation means is inappropriate, it restricts access using the blocking means. Access restriction is implemented, and a notification is sent to the parent device. The input is the result of the evaluation in step 3, and the output is a notification regarding the blocking of access and the reason for it.

[0389] Step 5:

[0390] When a parent provides verbal input, the device analyzes the voice using speech recognition technology. The analyzed voice data is then reflected in the settings changes. The input is the parent's voice command, and the output is the updated filtering settings.

[0391] Step 6:

[0392] The server uses emotion analysis tools to determine the parent's emotional state from their voice and facial expressions. For example, if the parent is feeling dissatisfied or confused, setting suggestions based on that emotional state are automatically generated. The input is voice and facial expression data, and the output is setting suggestions based on the emotional state.

[0393] Step 7:

[0394] The server generates suggestions based on sentiment analysis using an AI model. These suggestions, based on the prompt, are then displayed to the user. The input is the result of the sentiment analysis, and the output is the generated suggestion. Specifically, the server provides the AI ​​model with the prompt, "Analyze the parent's emotions and generate a suggestion for an online activity monitoring application."

[0395] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0396] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0397] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0398] [Third Embodiment]

[0399] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0400] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0401] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0402] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0403] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0404] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0405] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0406] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0407] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0408] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0409] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0410] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0411] This invention is implemented using a dedicated application installed on a child's information terminal. The terminal is equipped with data collection means and continuously records usage. The terminal transmits this data to a server at predetermined intervals. The server analyzes the received data using data processing means. This generates a report summarizing information such as which websites the child visited and which apps they used for how long.

[0412] The server uses content evaluation tools to determine the appropriateness of websites and content that children attempt to access. This evaluation includes matching against known inappropriate site information and understanding the context of the content. If the content is deemed inappropriate, the server uses filtering tools to block access and sends a notification to the parent.

[0413] Users (parents) can view reports on their children's usage and receive real-time notifications about filtering through their devices or a dedicated app. Through voice recognition, users can change filtering settings using voice commands. Parents can also set time limits for specific apps and restrict access to certain periods using voice input.

[0414] As a concrete example, if a child tries to access a new online game site one day, the URL is sent to the server by the device's content evaluation mechanism. The server recognizes that the content is game-related and evaluates whether it is safe and wholesome. If the evaluation determines that it is not inappropriate, access is permitted; however, if it is determined to be inappropriate, access is blocked, and the parent is notified of the summary and reason.

[0415] This system allows parents to efficiently manage their children's internet use, while also enabling children to safely access digital content.

[0416] The following describes the processing flow.

[0417] Step 1:

[0418] The device collects usage history of all applications used and websites visited by the user (child). This includes app launch and exit times, and the URLs of each website. The device records this information and stores the data for periodic transmission.

[0419] Step 2:

[0420] The terminal sends the accumulated usage history data to the server at predetermined time intervals. The server receives this data and prepares to store it in its database.

[0421] Step 3:

[0422] The server analyzes the received data using data processing tools. The analysis classifies each usage history and identifies which apps and websites are frequently used. It then generates a summary report in a format easily viewable by parents and displays it on the parent interface.

[0423] Step 4:

[0424] When a device accesses a new website, its URL is automatically sent to the server's content evaluation system. The server compares this URL against a known database to assess its safety. This evaluation includes contextual analysis of the content using AI.

[0425] Step 5:

[0426] Based on the content evaluation results, the server uses filtering mechanisms to block access to content deemed inappropriate. Parents receive real-time notifications and are informed of the details of the content in question.

[0427] Step 6:

[0428] Users (parents) can check and change filtering settings through a dedicated app. Using voice recognition, when a parent issues a voice command, the server analyzes it and reflects the setting change in the system. For example, if the command is "Restrict the use of app X," the corresponding setting change will be made immediately.

[0429] (Example 1)

[0430] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0431] In today's world, children have increasing opportunities to access potentially dangerous online content through electronic devices they use daily. However, it is difficult for parents to constantly monitor and properly manage their children's internet activity. Therefore, there is a need to provide a safe and appropriate digital environment while offering a way for parents to easily monitor usage and take control as needed.

[0432] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0433] In this invention, the server includes information gathering means for collecting operation records from electronic devices, information analysis means for analyzing the collected information and generating a summary report for parents, and evaluation means for evaluating the content accessed by electronic devices and determining its appropriateness. This makes it possible for parents to easily monitor and manage their children's internet activity and protect them from inappropriate content.

[0434] "Electronic devices" refer to terminals such as computers, smartphones, and tablets that allow users to input and output information.

[0435] "Operation logs" refer to records of data regarding a user's browsing of websites and use of applications on an electronic device.

[0436] An "information gathering means" is a mechanism for acquiring operation records from electronic devices and storing them for analysis.

[0437] "Information analysis means" refers to the process of analyzing collected operation records and generating useful information, such as reports summarizing children's usage patterns.

[0438] "Evaluation means" refers to a function that checks the appropriateness of content accessed through electronic devices and determines whether the content provided to users is safe.

[0439] "Restriction measures" refer to a process that includes features to block access to content deemed inappropriate and to notify parents as necessary.

[0440] "Voice interpretation means" refers to technology that recognizes and analyzes voice commands given by parents, and uses that information to change settings in digital systems, etc.

[0441] The "adjustment means" is a function that automatically adjusts the settings of the entire system using commands recognized by the voice interpretation means.

[0442] This invention is a system for providing a safe internet environment for electronic devices used by children. Specific embodiments thereof are described below.

[0443] The device continuously records usage using a dedicated application installed on electronic devices that children use on a daily basis. This device is equipped with information collection means to collect user operation records, and stores browser history and application usage time in a database.

[0444] The terminal sends this operation log to the server at predetermined time intervals. The HTTPS protocol is used for this transmission to ensure security. Specifically, the terminal periodically checks the network connection, encrypts the data, and uploads it to the server.

[0445] The server analyzes the received data and generates a report outlining the child's usage. The analysis uses Python and the data analysis library Pandas. This allows the server to obtain detailed information about which websites the child visited and which apps they used and for how long.

[0446] The server uses evaluation tools to determine the appropriateness of the content a child is trying to access. This evaluation utilizes natural language processing libraries (e.g., NLTK) to assess safety by analyzing the context of the content.

[0447] If content is deemed inappropriate, the server will use restrictive measures to block access to it and send a notification to the parent. This notification will include the reason why the content was deemed inappropriate and its content, allowing the parent to take appropriate action based on the information.

[0448] Parents, as users, can adjust filter settings by giving voice commands using a dedicated app or voice recognition function. The Google Speech-to-Text API is used for voice recognition, analyzing the voice commands spoken by the parent and immediately reflecting them in the settings.

[0449] As a concrete example, consider a scenario where a child tries to access a new online game. The device sends the URL to a server, which automatically evaluates the game site. If the site is deemed safe, access is permitted; otherwise, the parent is notified.

[0450] Examples of prompts for a generative AI model:

[0451] Please explain the content evaluation and filtering process for when a child tries to access a new website.

[0452] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0453] Step 1:

[0454] The terminal collects user activity records using information gathering methods. It stores the user's website visit history and application usage time on the electronic device in the terminal's memory. The input is user activity data, and the output is local data recording this data.

[0455] Step 2:

[0456] The terminal sends the collected data to the server at predetermined intervals (e.g., every hour). By using the HTTPS protocol for data transmission, the input local data is securely encrypted and output to the server.

[0457] Step 3:

[0458] The server receives data sent from the terminal and analyzes it using information analysis tools. The input data is a record of user operations, and the server processes the data using Python or the Pandas library to output a summary report that includes statistics such as the usage time of each application and the number of web visits.

[0459] Step 4:

[0460] The server uses an evaluation tool to determine the suitability of the web content accessed by the user. The input is the URL of each site in the summary report, and the server analyzes the safety of the content using a natural language processing library and outputs the evaluation result.

[0461] Step 5:

[0462] Based on the evaluation results, the server uses filtering mechanisms to block access to content deemed inappropriate and notifies the parent. The input is the evaluation result, and the output is the update of the filtering settings and the sending of a notification message.

[0463] Step 6:

[0464] The user (parent) adjusts filtering settings via voice input through a speech recognition system. The input consists of the parent's voice commands, and the voice data, analyzed using the Google Speech-to-Text API, is output as filtering settings and automatically updated.

[0465] (Application Example 1)

[0466] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0467] In today's digital society, ensuring the appropriateness of the information children encounter online is crucial. However, it is not realistic for parents to directly monitor all of their children's online activities, and doing so could undermine their autonomy. Therefore, a balanced approach that combines monitoring with freedom is needed. Furthermore, it is essential to detect potential dangers early based on children's behavioral patterns and take appropriate action.

[0468] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0469] In this invention, the server includes data collection means for collecting behavioral history data from the child's device, content evaluation means for evaluating the information accessed by the device and determining its appropriateness, and behavioral analysis means for detecting anomalies based on the child's behavioral patterns and providing warnings to the parent. This makes possible an environment in which parents can effectively monitor and educate their children while ensuring the safety of their online activities.

[0470] "Child-use devices" refer to electronic devices used by children to access the internet or applications.

[0471] "Behavioral history data" refers to recorded information about the destinations and activities a child accessed while using a device.

[0472] "Data collection means" refers to a function or mechanism designed to collect behavioral history data from a child's device.

[0473] A "content evaluation tool" is a system that has an evaluation function to determine the appropriateness of the information accessed by the user's device.

[0474] "Filtering methods" refer to functions and mechanisms that restrict access to inappropriate information and notify parents.

[0475] "Voice recognition means" refers to a technology or mechanism for analyzing voice input and executing digital instructions.

[0476] "Behavioral analysis tools" refer to functions and technologies that analyze a child's behavioral patterns, detect abnormalities, and warn parents.

[0477] The embodiment of the invention is a system for parents to safely monitor and ensure the safety of their children's online activities. This system consists of a child's device, a server, and a parent's display device.

[0478] The devices used by children are equipped with a function to collect behavioral history data, which is then transmitted to a server. The devices also incorporate a content evaluation mechanism to check the appropriateness of the information, and if inappropriate information is detected by this mechanism, the server is immediately notified.

[0479] The server uses Google Cloud and AWS to analyze the received behavioral history data. Specifically, the server uses data processing tools to generate summary reports and prepare information for provision to parents. It also utilizes behavioral analysis tools to detect abnormalities in the child's behavioral patterns. An example of a prompt message is, "Create a detailed report on the child's recent behavioral patterns."

[0480] Parents can instantly view activity history reports and notifications of inappropriate information on their display devices. Using voice recognition, parents can adjust filtering settings via voice commands. For example, if a child uses their device for a longer period than usual on a given day, this pattern is detected and a notification is sent to the parent stating, "Your child's online activity today has lasted longer than usual."

[0481] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0482] Step 1:

[0483] The device collects all activity history data from the child's device. As input, the device directly monitors the child's usage, recording website visits and application usage time. The output is a raw dataset of the collected activity history data.

[0484] Step 2:

[0485] The terminal sends the collected behavioral history data to the server at predetermined intervals. The behavioral history data obtained in step 1 is used as input. The data is converted to an appropriate format and sent to the server. The output is the data received by the server before analysis.

[0486] Step 3:

[0487] The server analyzes the received behavioral history data. The input is raw data sent from the device. The server processes the data and generates a profile of the behavioral pattern. The output is a summary report that is easy for parents to understand. If abnormal behavior is detected through this analysis, that information is specifically recorded.

[0488] Step 4:

[0489] The server performs behavioral analysis based on the collected data. This input is the behavioral pattern profile from step 3. The server uses an AI model to perform analysis in response to the generated prompt, "Create a detailed report on the child's recent behavioral patterns." The output is an anomaly detection report, and a warning is generated specifically for the parents.

[0490] Step 5:

[0491] The user receives reports and warnings in real time through the parent's display device. Inputs are summary reports and anomaly detection reports from the server. Outputs are display information in a format available to the parent, which can adjust filtering settings via voice based on this information.

[0492] Step 6:

[0493] The user adjusts the filtering settings of their device using voice input. The input is the parent's voice command, which is analyzed through voice recognition and used to issue instructions for adjusting the settings. The output is an update of the filtering settings on the child's device.

[0494] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0495] This invention operates primarily through an application installed on a child's information terminal. The terminal continuously records the child's usage history via data collection means. This data is periodically transferred to a server. The server uses data processing means to summarize the received data into reports for parents. These reports can be viewed by parents through a dedicated application.

[0496] The server is equipped with content evaluation capabilities. Upon receiving an access request from a device, it uses AI to determine the appropriateness of the content. Content deemed inappropriate as a result of the evaluation is blocked by filtering mechanisms. Parents are notified of the details and may be required to make additional decisions or change settings.

[0497] Furthermore, an emotion engine is incorporated that analyzes parental voice input and facial expressions in real time. This allows the voice recognition system to determine the parent's emotional state and make appropriate suggestions for filtering settings. For example, if a parent expresses dissatisfaction with too many restricted apps, the emotion engine will offer suggestions to alleviate the burden.

[0498] For example, if a child attempts to visit a new entertainment website, access will be immediately blocked if the site is on a known list of inappropriate content. Simultaneously, the server sends a notification of this event to the parent's device, reporting the details. When the parent receives this notification, their reaction is analyzed by an emotion engine, which then provides a quick response.

[0499] This system allows parents to more effectively manage their children's use of digital devices while simultaneously ensuring children have a safe and appropriate digital experience. The emotional engine's ability to understand parents' states of mind helps make this management process more natural and efficient.

[0500] The following describes the processing flow.

[0501] Step 1:

[0502] The device collects real-time usage history of applications and websites used by children. This includes URLs accessed and app usage time. This collected data is stored locally for later analysis.

[0503] Step 2:

[0504] The device periodically sends collected data to the server. The server sorts the received data and prepares it for storage in the usage history database. This data is important for creating summary reports for the parent device.

[0505] Step 3:

[0506] The server uses data processing tools to analyze the collected data. This analysis identifies frequently used apps and frequently visited websites. Based on this, a visually easy-to-understand summary report is generated and displayed in the user interface.

[0507] Step 4:

[0508] When a device attempts to access a new website, its URL is sent to the server's content evaluation system. The server then compares this URL against existing databases and AI algorithms to determine whether the content is appropriate.

[0509] Step 5:

[0510] If the server determines that the content is inappropriate, it will block access to that website using filtering mechanisms. It will also notify the parent's device of the details of the blocked content and the reason for the blockage. The parent receives this notification in real time and can consider any necessary countermeasures.

[0511] Step 6:

[0512] The user (parent) can adjust system settings using voice input via a dedicated app. The server's emotion engine analyzes the parent's voice input and facial expressions to determine the parent's emotional state.

[0513] Step 7:

[0514] The server utilizes the analysis results from the emotion engine to suggest adjustments to filtering settings based on the parent's emotions. For example, it automatically makes suggestions to reduce the burden or to lift usage restrictions during specific time periods. In this way, it supports parents in managing their children's use of information devices more flexibly.

[0515] (Example 2)

[0516] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0517] In recent years, the number of information and communication devices used by children has increased, making their safe use a critical issue. Parents want to monitor their children's digital lives, but this is a complex and burdensome task. Furthermore, simply filtering content is not enough; flexible responses tailored to each child's usage are required. Therefore, there is a need to develop a system that reduces the burden on parents while allowing children to use devices safely.

[0518] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0519] In this invention, the server includes information acquisition means, information processing means, resource evaluation means, restriction means, voice analysis means, and emotion analysis means. This makes it possible to efficiently collect information on children's device usage and report it to parents in an easy-to-understand manner. Furthermore, by restricting access to inappropriate information and suggesting flexible setting changes based on the parents' emotional state, it becomes possible to provide a safer and more comfortable digital environment.

[0520] "User's device" refers to information and communication equipment used by children for learning or entertainment.

[0521] "Usage history information" refers to historical data of digital activities, including records of application usage and website access on a device.

[0522] "Information acquisition means" refers to functions and processes for collecting usage history information from user terminals.

[0523] "Information processing means" refers to a function that analyzes acquired usage history information and generates a summary report to help parents understand the situation.

[0524] "Information resources" refer to digital information, including content and services on the internet that users can access.

[0525] "Resource evaluation methods" refer to processes and technologies for assessing the content of information resources and evaluating their appropriateness and safety.

[0526] "Restriction measures" refer to functions that restrict access to inappropriate information resources based on evaluation and notify parents.

[0527] "Voice analysis means" refers to technology that analyzes the voice input of parents and uses it to adjust filtering settings.

[0528] "Emotional analysis means" refers to technology that analyzes the emotional state of parents and suggests changes to filtering settings based on that analysis.

[0529] This invention is implemented through an application installed on an information and communication terminal used by the user. The terminal uses a dedicated information acquisition means to record the user's usage history information in real time and temporarily store it internally. This record includes application usage status, website visit history, etc. This information is periodically transferred to a server via a securely encrypted communication protocol.

[0530] The server analyzes the received usage history information using a dedicated information processing system and generates a summary report for parents. The report shows trends in the user's digital activity, and parents can view it through a dedicated app.

[0531] Furthermore, the server assesses information resources using resource evaluation tools. It determines the appropriateness of information resources requested for access from a user's terminal, and if deemed inappropriate, it blocks access using restriction measures. The reason and details of this block are notified to the parent / guardian in real time.

[0532] Furthermore, the system utilizes voice input from parents, as well as voice analysis and emotion analysis tools to analyze the parents' emotional state. Based on this information, the server dynamically provides suggestions for improving the filtering settings.

[0533] For example, if a child attempts to visit a new website and the site is deemed inappropriate, the server will immediately restrict access. Simultaneously, a notification detailing the reason for this restriction is sent to the parent. At the time of this notification, the parent's response is analyzed using sentiment analysis tools, and any necessary adjustments to settings are suggested.

[0534] An example of a prompt message would be: "Please explain the systems in place to ensure children can use the internet safely. I would especially like to know more about content rating and parental notification processes."

[0535] In this way, the invention makes it possible to achieve both safe internet use for users and a reduction in the burden on parents.

[0536] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0537] Step 1:

[0538] The device collects usage history information. As input, it receives information about the applications used and websites accessed by the user. This data is collected by the device's internal information acquisition mechanisms and temporarily stored in the device's memory. Specifically, it monitors background processes of applications running on the device and records that information.

[0539] Step 2:

[0540] The terminal transfers collected usage history information to the server. The input is the usage history stored in temporary memory, and the data is sent to the server using an encrypted communication protocol. The output is the usage history data received on the server side. Specifically, data transfer is performed by a scheduled job that is triggered periodically.

[0541] Step 3:

[0542] The server analyzes usage history data and generates reports for parents. The input is usage history data received from the device; the data is analyzed using information processing tools to extract trends. The output is a summary report provided to parents. Specifically, data mining techniques are used to calculate app usage frequency and website dwell time.

[0543] Step 4:

[0544] The server evaluates information resources and restricts inappropriate content. The input is an access request to an information resource from a terminal. Using resource evaluation tools, the server determines the appropriateness of the resource, and if deemed inappropriate, restricts access. The output is a notification that access was blocked and the reason for the blockage. Specifically, it utilizes an AI model to evaluate content and makes decisions based on predefined safety criteria.

[0545] Step 5:

[0546] The user receives a notification and adjusts the filtering settings. The input is a notification from the server, and the settings are adjusted by receiving voice input via a voice analysis device. The output is the updated filtering settings. Specifically, the system uses sentiment analysis to understand the user's emotional state and suggests setting changes based on the user's expressed dissatisfaction.

[0547] Step 6:

[0548] The server uses emotion analysis to suggest filtering settings based on user feedback. Inputs include user emotion data and voice input, and output provides recommended settings for the user. Specifically, it collects user voice and facial expressions, analyzes them in real time, and generates an optimal setting plan to reduce user burden.

[0549] (Application Example 2)

[0550] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0551] In today's digital environment, ensuring children's safe internet use is a major challenge for parents. It's not just about preventing access to inappropriate content; it's also about enabling parents to properly understand and manage their children's internet usage. Furthermore, a system is needed that reduces the emotional burden on parents and allows them to set restrictions naturally and effectively.

[0552] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0553] In this invention, the server includes data acquisition means for collecting operation history data from electronic devices used by children, data analysis means for analyzing the acquired data and generating a summary report for parents, and sentiment analysis means for analyzing the parents' emotional state and suggesting appropriate modifications to blocking settings. This enables parents to effectively manage their children's internet use, protect them from inappropriate content, and reduce their own burden.

[0554] "Electronic devices for children" refers to information terminals that children use on a daily basis, and includes smartphones and tablets.

[0555] "Action history data" is a general term for data that records a child's behavioral patterns, access history, and information about the applications they use when using electronic devices.

[0556] "Data acquisition means" refers to a function or technology for automatically collecting operation history data from electronic devices for children.

[0557] "Data analysis means" refers to a function or technology that analyzes collected behavioral history data and creates a summary report in a format that is easy for parents to understand.

[0558] "Information resources" is a general term for content accessed through websites and applications on the internet.

[0559] "Information evaluation means" refers to a function or technology for automatically evaluating whether accessed information resources are appropriate.

[0560] "Blocking measures" refer to functions or technologies used to restrict access to information resources deemed inappropriate.

[0561] "Voice input" refers to a method in which parents give instructions or change settings to electronic devices using their voice.

[0562] "Speech recognition means" refers to a technology or system for analyzing spoken audio and understanding its content.

[0563] "Emotional analysis means" refers to a technology or function that analyzes a parent's voice and facial expressions in real time to determine the parent's emotional state.

[0564] The system for implementing this invention mainly consists of a server and an electronic device for children. The server continuously collects operation history data received from the electronic device for children and manages it using data acquisition means. The server analyzes this operation history data using data analysis means and generates an easy-to-understand summary report for parents.

[0565] The information evaluation means evaluates the information resources accessed by the electronic device in real time and determines their appropriateness. Information resources deemed inappropriate are immediately restricted from access by the blocking means. The reason for blocking is notified to the parent's display device so that the parent can understand the situation.

[0566] Furthermore, verbal input from parents using voice is analyzed by speech recognition technology, allowing for adjustment of settings. The server analyzes the parent's emotions through this verbal input using emotion analysis technology and makes suggestions to help the parent appropriately adjust filtering settings. For example, if a parent expresses dissatisfaction with the number of restrictions, the server analyzes this reaction and presents situation-appropriate modification suggestions.

[0567] For example, if a child is using an online video platform and that platform is on a list of inappropriate content, access is immediately blocked and a notification is sent to the parent. The parent can then give verbal instructions to choose the next action.

[0568] An example of a prompt using a generative AI model is, "Analyze parental emotions and generate suggestions for an online activity monitoring application."

[0569] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0570] Step 1:

[0571] The server retrieves activity history data from the child's device. It collects records of websites accessed and applications used by the device and sends this data to the server. The input is the access log from the device, and the output is the activity history data stored on the server. This data is used for later analysis.

[0572] Step 2:

[0573] The server analyzes the behavioral history data acquired using data analysis tools. This analysis includes extracting behavioral patterns and analyzing usage frequency. The input is the behavioral history data obtained in step 1, and the output is a summary report for the parent. This report is created in a format that the parent can view using a dedicated application.

[0574] Step 3:

[0575] When a terminal accesses a new information resource, the server uses an information evaluation mechanism to determine the appropriateness of that resource. It compares it against a database of known inappropriate information to assess its appropriateness. The input is the URL of the information resource and related metadata, and the output is the result of the appropriateness determination.

[0576] Step 4:

[0577] If the server determines that the result of the information evaluation means is inappropriate, it restricts access using the blocking means. Access restriction is implemented, and a notification is sent to the parent device. The input is the result of the evaluation in step 3, and the output is a notification regarding the blocking of access and the reason for it.

[0578] Step 5:

[0579] When a parent provides verbal input, the device analyzes the voice using speech recognition technology. The analyzed voice data is then reflected in the settings changes. The input is the parent's voice command, and the output is the updated filtering settings.

[0580] Step 6:

[0581] The server uses emotion analysis tools to determine the parent's emotional state from their voice and facial expressions. For example, if the parent is feeling dissatisfied or confused, setting suggestions based on that emotional state are automatically generated. The input is voice and facial expression data, and the output is setting suggestions based on the emotional state.

[0582] Step 7:

[0583] The server generates suggestions based on sentiment analysis using an AI model. These suggestions, based on the prompt, are then displayed to the user. The input is the result of the sentiment analysis, and the output is the generated suggestion. Specifically, the server provides the AI ​​model with the prompt, "Analyze the parent's emotions and generate a suggestion for an online activity monitoring application."

[0584] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0585] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0586] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0587] [Fourth Embodiment]

[0588] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0589] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0590] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0591] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0592] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0593] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0594] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0595] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0596] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0597] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0598] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0599] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0600] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0601] This invention is implemented using a dedicated application installed on a child's information terminal. The terminal is equipped with data collection means and continuously records usage. The terminal transmits this data to a server at predetermined intervals. The server analyzes the received data using data processing means. This generates a report summarizing information such as which websites the child visited and which apps they used for how long.

[0602] The server uses content evaluation tools to determine the appropriateness of websites and content that children attempt to access. This evaluation includes matching against known inappropriate site information and understanding the context of the content. If the content is deemed inappropriate, the server uses filtering tools to block access and sends a notification to the parent.

[0603] Users (parents) can view reports on their children's usage and receive real-time notifications about filtering through their devices or a dedicated app. Through voice recognition, users can change filtering settings using voice commands. Parents can also set time limits for specific apps and restrict access to certain periods using voice input.

[0604] As a concrete example, if a child tries to access a new online game site one day, the URL is sent to the server by the device's content evaluation mechanism. The server recognizes that the content is game-related and evaluates whether it is safe and wholesome. If the evaluation determines that it is not inappropriate, access is permitted; however, if it is determined to be inappropriate, access is blocked, and the parent is notified of the summary and reason.

[0605] This system allows parents to efficiently manage their children's internet use, while also enabling children to safely access digital content.

[0606] The following describes the processing flow.

[0607] Step 1:

[0608] The device collects usage history of all applications used and websites visited by the user (child). This includes app launch and exit times, and the URLs of each website. The device records this information and stores the data for periodic transmission.

[0609] Step 2:

[0610] The terminal sends the accumulated usage history data to the server at predetermined time intervals. The server receives this data and prepares to store it in its database.

[0611] Step 3:

[0612] The server analyzes the received data using data processing tools. The analysis classifies each usage history and identifies which apps and websites are frequently used. It then generates a summary report in a format easily viewable by parents and displays it on the parent interface.

[0613] Step 4:

[0614] When a device accesses a new website, its URL is automatically sent to the server's content evaluation system. The server compares this URL against a known database to assess its safety. This evaluation includes contextual analysis of the content using AI.

[0615] Step 5:

[0616] Based on the content evaluation results, the server uses filtering mechanisms to block access to content deemed inappropriate. Parents receive real-time notifications and are informed of the details of the content in question.

[0617] Step 6:

[0618] Users (parents) can check and change filtering settings through a dedicated app. Using voice recognition, when a parent issues a voice command, the server analyzes it and reflects the setting change in the system. For example, if the command is "Restrict the use of app X," the corresponding setting change will be made immediately.

[0619] (Example 1)

[0620] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0621] In today's world, children have increasing opportunities to access potentially dangerous online content through electronic devices they use daily. However, it is difficult for parents to constantly monitor and properly manage their children's internet activity. Therefore, there is a need to provide a safe and appropriate digital environment while offering a way for parents to easily monitor usage and take control as needed.

[0622] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0623] In this invention, the server includes information gathering means for collecting operation records from electronic devices, information analysis means for analyzing the collected information and generating a summary report for parents, and evaluation means for evaluating the content accessed by electronic devices and determining its appropriateness. This makes it possible for parents to easily monitor and manage their children's internet activity and protect them from inappropriate content.

[0624] "Electronic devices" refer to terminals such as computers, smartphones, and tablets that allow users to input and output information.

[0625] "Operation logs" refer to records of data regarding a user's browsing of websites and use of applications on an electronic device.

[0626] An "information gathering means" is a mechanism for acquiring operation records from electronic devices and storing them for analysis.

[0627] "Information analysis means" refers to the process of analyzing collected operation records and generating useful information, such as reports summarizing children's usage patterns.

[0628] "Evaluation means" refers to a function that checks the appropriateness of content accessed through electronic devices and determines whether the content provided to users is safe.

[0629] "Restriction measures" refer to a process that includes features to block access to content deemed inappropriate and to notify parents as necessary.

[0630] "Voice interpretation means" refers to technology that recognizes and analyzes voice commands given by parents, and uses that information to change settings in digital systems, etc.

[0631] The "adjustment means" is a function that automatically adjusts the settings of the entire system using commands recognized by the voice interpretation means.

[0632] This invention is a system for providing a safe internet environment for electronic devices used by children. Specific embodiments thereof are described below.

[0633] The device continuously records usage using a dedicated application installed on electronic devices that children use on a daily basis. This device is equipped with information collection means to collect user operation records, and stores browser history and application usage time in a database.

[0634] The terminal sends this operation log to the server at predetermined time intervals. The HTTPS protocol is used for this transmission to ensure security. Specifically, the terminal periodically checks the network connection, encrypts the data, and uploads it to the server.

[0635] The server analyzes the received data and generates a report outlining the child's usage. The analysis uses Python and the data analysis library Pandas. This allows the server to obtain detailed information about which websites the child visited and which apps they used and for how long.

[0636] The server uses evaluation tools to determine the appropriateness of the content a child is trying to access. This evaluation utilizes natural language processing libraries (e.g., NLTK) to assess safety by analyzing the context of the content.

[0637] If content is deemed inappropriate, the server will use restrictive measures to block access to it and send a notification to the parent. This notification will include the reason why the content was deemed inappropriate and its content, allowing the parent to take appropriate action based on the information.

[0638] Parents, as users, can adjust filter settings by giving voice commands using a dedicated app or voice recognition function. The Google Speech-to-Text API is used for voice recognition, analyzing the voice commands spoken by the parent and immediately reflecting them in the settings.

[0639] As a concrete example, consider a scenario where a child tries to access a new online game. The device sends the URL to a server, which automatically evaluates the game site. If the site is deemed safe, access is permitted; otherwise, the parent is notified.

[0640] Examples of prompts for a generative AI model:

[0641] Please explain the content evaluation and filtering process for when a child tries to access a new website.

[0642] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0643] Step 1:

[0644] The terminal collects user activity records using information gathering methods. It stores the user's website visit history and application usage time on the electronic device in the terminal's memory. The input is user activity data, and the output is local data recording this data.

[0645] Step 2:

[0646] The terminal sends the collected data to the server at predetermined intervals (e.g., every hour). By using the HTTPS protocol for data transmission, the input local data is securely encrypted and output to the server.

[0647] Step 3:

[0648] The server receives data sent from the terminal and analyzes it using information analysis tools. The input data is a record of user operations, and the server processes the data using Python or the Pandas library to output a summary report that includes statistics such as the usage time of each application and the number of web visits.

[0649] Step 4:

[0650] The server uses an evaluation tool to determine the suitability of the web content accessed by the user. The input is the URL of each site in the summary report, and the server analyzes the safety of the content using a natural language processing library and outputs the evaluation result.

[0651] Step 5:

[0652] Based on the evaluation results, the server uses filtering mechanisms to block access to content deemed inappropriate and notifies the parent. The input is the evaluation result, and the output is the update of the filtering settings and the sending of a notification message.

[0653] Step 6:

[0654] The user (parent) adjusts filtering settings via voice input through a speech recognition system. The input consists of the parent's voice commands, and the voice data, analyzed using the Google Speech-to-Text API, is output as filtering settings and automatically updated.

[0655] (Application Example 1)

[0656] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0657] In today's digital society, ensuring the appropriateness of the information children encounter online is crucial. However, it is not realistic for parents to directly monitor all of their children's online activities, and doing so could undermine their autonomy. Therefore, a balanced approach that combines monitoring with freedom is needed. Furthermore, it is essential to detect potential dangers early based on children's behavioral patterns and take appropriate action.

[0658] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0659] In this invention, the server includes data collection means for collecting behavioral history data from the child's device, content evaluation means for evaluating the information accessed by the device and determining its appropriateness, and behavioral analysis means for detecting anomalies based on the child's behavioral patterns and providing warnings to the parent. This makes possible an environment in which parents can effectively monitor and educate their children while ensuring the safety of their online activities.

[0660] "Child-use devices" refer to electronic devices used by children to access the internet or applications.

[0661] "Behavioral history data" refers to recorded information about the destinations and activities a child accessed while using a device.

[0662] "Data collection means" refers to a function or mechanism designed to collect behavioral history data from a child's device.

[0663] A "content evaluation tool" is a system that has an evaluation function to determine the appropriateness of the information accessed by the user's device.

[0664] "Filtering methods" refer to functions and mechanisms that restrict access to inappropriate information and notify parents.

[0665] "Voice recognition means" refers to a technology or mechanism for analyzing voice input and executing digital instructions.

[0666] "Behavioral analysis tools" refer to functions and technologies that analyze a child's behavioral patterns, detect abnormalities, and warn parents.

[0667] The embodiment of the invention is a system for parents to safely monitor and ensure the safety of their children's online activities. This system consists of a child's device, a server, and a parent's display device.

[0668] The devices used by children are equipped with a function to collect behavioral history data, which is then transmitted to a server. The devices also incorporate a content evaluation mechanism to check the appropriateness of the information, and if inappropriate information is detected by this mechanism, the server is immediately notified.

[0669] The server uses Google Cloud and AWS to analyze the received behavioral history data. Specifically, the server uses data processing tools to generate summary reports and prepare information for provision to parents. It also utilizes behavioral analysis tools to detect abnormalities in the child's behavioral patterns. An example of a prompt message is, "Create a detailed report on the child's recent behavioral patterns."

[0670] Parents can instantly view activity history reports and notifications of inappropriate information on their display devices. Using voice recognition, parents can adjust filtering settings via voice commands. For example, if a child uses their device for a longer period than usual on a given day, this pattern is detected and a notification is sent to the parent stating, "Your child's online activity today has lasted longer than usual."

[0671] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0672] Step 1:

[0673] The device collects all activity history data from the child's device. As input, the device directly monitors the child's usage, recording website visits and application usage time. The output is a raw dataset of the collected activity history data.

[0674] Step 2:

[0675] The terminal sends the collected behavioral history data to the server at predetermined intervals. The behavioral history data obtained in step 1 is used as input. The data is converted to an appropriate format and sent to the server. The output is the data received by the server before analysis.

[0676] Step 3:

[0677] The server analyzes the received behavioral history data. The input is raw data sent from the device. The server processes the data and generates a profile of the behavioral pattern. The output is a summary report that is easy for parents to understand. If abnormal behavior is detected through this analysis, that information is specifically recorded.

[0678] Step 4:

[0679] The server performs behavioral analysis based on the collected data. This input is the behavioral pattern profile from step 3. The server uses an AI model to perform analysis in response to the generated prompt, "Create a detailed report on the child's recent behavioral patterns." The output is an anomaly detection report, and a warning is generated specifically for the parents.

[0680] Step 5:

[0681] The user receives reports and warnings in real time through the parent's display device. Inputs are summary reports and anomaly detection reports from the server. Outputs are display information in a format available to the parent, which can adjust filtering settings via voice based on this information.

[0682] Step 6:

[0683] The user adjusts the filtering settings of their device using voice input. The input is the parent's voice command, which is analyzed through voice recognition and used to issue instructions for adjusting the settings. The output is an update of the filtering settings on the child's device.

[0684] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0685] This invention operates primarily through an application installed on a child's information terminal. The terminal continuously records the child's usage history via data collection means. This data is periodically transferred to a server. The server uses data processing means to summarize the received data into reports for parents. These reports can be viewed by parents through a dedicated application.

[0686] The server is equipped with content evaluation capabilities. Upon receiving an access request from a device, it uses AI to determine the appropriateness of the content. Content deemed inappropriate as a result of the evaluation is blocked by filtering mechanisms. Parents are notified of the details and may be required to make additional decisions or change settings.

[0687] Furthermore, an emotion engine is incorporated that analyzes parental voice input and facial expressions in real time. This allows the voice recognition system to determine the parent's emotional state and make appropriate suggestions for filtering settings. For example, if a parent expresses dissatisfaction with too many restricted apps, the emotion engine will offer suggestions to alleviate the burden.

[0688] For example, if a child attempts to visit a new entertainment website, access will be immediately blocked if the site is on a known list of inappropriate content. Simultaneously, the server sends a notification of this event to the parent's device, reporting the details. When the parent receives this notification, their reaction is analyzed by an emotion engine, which then provides a quick response.

[0689] This system allows parents to more effectively manage their children's use of digital devices while simultaneously ensuring children have a safe and appropriate digital experience. The emotional engine's ability to understand parents' states of mind helps make this management process more natural and efficient.

[0690] The following describes the processing flow.

[0691] Step 1:

[0692] The device collects real-time usage history of applications and websites used by children. This includes URLs accessed and app usage time. This collected data is stored locally for later analysis.

[0693] Step 2:

[0694] The device periodically sends collected data to the server. The server sorts the received data and prepares it for storage in the usage history database. This data is important for creating summary reports for the parent device.

[0695] Step 3:

[0696] The server uses data processing tools to analyze the collected data. This analysis identifies frequently used apps and frequently visited websites. Based on this, a visually easy-to-understand summary report is generated and displayed in the user interface.

[0697] Step 4:

[0698] When a device attempts to access a new website, its URL is sent to the server's content evaluation system. The server then compares this URL against existing databases and AI algorithms to determine whether the content is appropriate.

[0699] Step 5:

[0700] If the server determines that the content is inappropriate, it will block access to that website using filtering mechanisms. It will also notify the parent's device of the details of the blocked content and the reason for the blockage. The parent receives this notification in real time and can consider any necessary countermeasures.

[0701] Step 6:

[0702] The user (parent) can adjust system settings using voice input via a dedicated app. The server's emotion engine analyzes the parent's voice input and facial expressions to determine the parent's emotional state.

[0703] Step 7:

[0704] The server utilizes the analysis results from the emotion engine to suggest adjustments to filtering settings based on the parent's emotions. For example, it automatically makes suggestions to reduce the burden or to lift usage restrictions during specific time periods. In this way, it supports parents in managing their children's use of information devices more flexibly.

[0705] (Example 2)

[0706] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0707] In recent years, the number of information and communication devices used by children has increased, making their safe use a critical issue. Parents want to monitor their children's digital lives, but this is a complex and burdensome task. Furthermore, simply filtering content is not enough; flexible responses tailored to each child's usage are required. Therefore, there is a need to develop a system that reduces the burden on parents while allowing children to use devices safely.

[0708] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0709] In this invention, the server includes information acquisition means, information processing means, resource evaluation means, restriction means, voice analysis means, and emotion analysis means. This makes it possible to efficiently collect information on children's device usage and report it to parents in an easy-to-understand manner. Furthermore, by restricting access to inappropriate information and suggesting flexible setting changes based on the parents' emotional state, it becomes possible to provide a safer and more comfortable digital environment.

[0710] "User's device" refers to information and communication equipment used by children for learning or entertainment.

[0711] "Usage history information" refers to historical data of digital activities, including records of application usage and website access on a device.

[0712] "Information acquisition means" refers to functions and processes for collecting usage history information from user terminals.

[0713] "Information processing means" refers to a function that analyzes acquired usage history information and generates a summary report to help parents understand the situation.

[0714] "Information resources" refer to digital information, including content and services on the internet that users can access.

[0715] "Resource evaluation methods" refer to processes and technologies for assessing the content of information resources and evaluating their appropriateness and safety.

[0716] "Restriction measures" refer to functions that restrict access to inappropriate information resources based on evaluation and notify parents.

[0717] "Voice analysis means" refers to technology that analyzes the voice input of parents and uses it to adjust filtering settings.

[0718] "Emotional analysis means" refers to technology that analyzes the emotional state of parents and suggests changes to filtering settings based on that analysis.

[0719] This invention is implemented through an application installed on an information and communication terminal used by the user. The terminal uses a dedicated information acquisition means to record the user's usage history information in real time and temporarily store it internally. This record includes application usage status, website visit history, etc. This information is periodically transferred to a server via a securely encrypted communication protocol.

[0720] The server analyzes the received usage history information using a dedicated information processing system and generates a summary report for parents. The report shows trends in the user's digital activity, and parents can view it through a dedicated app.

[0721] Furthermore, the server assesses information resources using resource evaluation tools. It determines the appropriateness of information resources requested for access from a user's terminal, and if deemed inappropriate, it blocks access using restriction measures. The reason and details of this block are notified to the parent / guardian in real time.

[0722] Furthermore, the system utilizes voice input from parents, as well as voice analysis and emotion analysis tools to analyze the parents' emotional state. Based on this information, the server dynamically provides suggestions for improving the filtering settings.

[0723] For example, if a child attempts to visit a new website and the site is deemed inappropriate, the server will immediately restrict access. Simultaneously, a notification detailing the reason for this restriction is sent to the parent. At the time of this notification, the parent's response is analyzed using sentiment analysis tools, and any necessary adjustments to settings are suggested.

[0724] An example of a prompt message would be: "Please explain the systems in place to ensure children can use the internet safely. I would especially like to know more about content rating and parental notification processes."

[0725] In this way, the invention makes it possible to achieve both safe internet use for users and a reduction in the burden on parents.

[0726] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0727] Step 1:

[0728] The device collects usage history information. As input, it receives information about the applications used and websites accessed by the user. This data is collected by the device's internal information acquisition mechanisms and temporarily stored in the device's memory. Specifically, it monitors background processes of applications running on the device and records that information.

[0729] Step 2:

[0730] The terminal transfers collected usage history information to the server. The input is the usage history stored in temporary memory, and the data is sent to the server using an encrypted communication protocol. The output is the usage history data received on the server side. Specifically, data transfer is performed by a scheduled job that is triggered periodically.

[0731] Step 3:

[0732] The server analyzes usage history data and generates reports for parents. The input is usage history data received from the device; the data is analyzed using information processing tools to extract trends. The output is a summary report provided to parents. Specifically, data mining techniques are used to calculate app usage frequency and website dwell time.

[0733] Step 4:

[0734] The server evaluates information resources and restricts inappropriate content. The input is an access request to an information resource from a terminal. Using resource evaluation tools, the server determines the appropriateness of the resource, and if deemed inappropriate, restricts access. The output is a notification that access was blocked and the reason for the blockage. Specifically, it utilizes an AI model to evaluate content and makes decisions based on predefined safety criteria.

[0735] Step 5:

[0736] The user receives a notification and adjusts the filtering settings. The input is a notification from the server, and the settings are adjusted by receiving voice input via a voice analysis device. The output is the updated filtering settings. Specifically, the system uses sentiment analysis to understand the user's emotional state and suggests setting changes based on the user's expressed dissatisfaction.

[0737] Step 6:

[0738] The server uses emotion analysis to suggest filtering settings based on user feedback. Inputs include user emotion data and voice input, and output provides recommended settings for the user. Specifically, it collects user voice and facial expressions, analyzes them in real time, and generates an optimal setting plan to reduce user burden.

[0739] (Application Example 2)

[0740] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0741] In today's digital environment, ensuring children's safe internet use is a major challenge for parents. It's not just about preventing access to inappropriate content; it's also about enabling parents to properly understand and manage their children's internet usage. Furthermore, a system is needed that reduces the emotional burden on parents and allows them to set restrictions naturally and effectively.

[0742] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0743] In this invention, the server includes data acquisition means for collecting operation history data from electronic devices used by children, data analysis means for analyzing the acquired data and generating a summary report for parents, and sentiment analysis means for analyzing the parents' emotional state and suggesting appropriate modifications to blocking settings. This enables parents to effectively manage their children's internet use, protect them from inappropriate content, and reduce their own burden.

[0744] "Electronic devices for children" refers to information terminals that children use on a daily basis, and includes smartphones and tablets.

[0745] "Action history data" is a general term for data that records a child's behavioral patterns, access history, and information about the applications they use when using electronic devices.

[0746] "Data acquisition means" refers to a function or technology for automatically collecting operation history data from electronic devices for children.

[0747] "Data analysis means" refers to a function or technology that analyzes collected behavioral history data and creates a summary report in a format that is easy for parents to understand.

[0748] "Information resources" is a general term for content accessed through websites and applications on the internet.

[0749] "Information evaluation means" refers to a function or technology for automatically evaluating whether accessed information resources are appropriate.

[0750] "Blocking measures" refer to functions or technologies used to restrict access to information resources deemed inappropriate.

[0751] "Voice input" refers to a method in which parents give instructions or change settings to electronic devices using their voice.

[0752] "Speech recognition means" refers to a technology or system for analyzing spoken audio and understanding its content.

[0753] "Emotional analysis means" refers to a technology or function that analyzes a parent's voice and facial expressions in real time to determine the parent's emotional state.

[0754] The system for implementing this invention mainly consists of a server and an electronic device for children. The server continuously collects operation history data received from the electronic device for children and manages it using data acquisition means. The server analyzes this operation history data using data analysis means and generates an easy-to-understand summary report for parents.

[0755] The information evaluation means evaluates the information resources accessed by the electronic device in real time and determines their appropriateness. Information resources deemed inappropriate are immediately restricted from access by the blocking means. The reason for blocking is notified to the parent's display device so that the parent can understand the situation.

[0756] Furthermore, verbal input from parents using voice is analyzed by speech recognition technology, allowing for adjustment of settings. The server analyzes the parent's emotions through this verbal input using emotion analysis technology and makes suggestions to help the parent appropriately adjust filtering settings. For example, if a parent expresses dissatisfaction with the number of restrictions, the server analyzes this reaction and presents situation-appropriate modification suggestions.

[0757] For example, if a child is using an online video platform and that platform is on a list of inappropriate content, access is immediately blocked and a notification is sent to the parent. The parent can then give verbal instructions to choose the next action.

[0758] An example of a prompt using a generative AI model is, "Analyze parental emotions and generate suggestions for an online activity monitoring application."

[0759] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0760] Step 1:

[0761] The server retrieves activity history data from the child's device. It collects records of websites accessed and applications used by the device and sends this data to the server. The input is the access log from the device, and the output is the activity history data stored on the server. This data is used for later analysis.

[0762] Step 2:

[0763] The server analyzes the behavioral history data acquired using data analysis tools. This analysis includes extracting behavioral patterns and analyzing usage frequency. The input is the behavioral history data obtained in step 1, and the output is a summary report for the parent. This report is created in a format that the parent can view using a dedicated application.

[0764] Step 3:

[0765] When a terminal accesses a new information resource, the server uses an information evaluation mechanism to determine the appropriateness of that resource. It compares it against a database of known inappropriate information to assess its appropriateness. The input is the URL of the information resource and related metadata, and the output is the result of the appropriateness determination.

[0766] Step 4:

[0767] If the server determines that the result of the information evaluation means is inappropriate, it restricts access using the blocking means. Access restriction is implemented, and a notification is sent to the parent device. The input is the result of the evaluation in step 3, and the output is a notification regarding the blocking of access and the reason for it.

[0768] Step 5:

[0769] When a parent provides verbal input, the device analyzes the voice using speech recognition technology. The analyzed voice data is then reflected in the settings changes. The input is the parent's voice command, and the output is the updated filtering settings.

[0770] Step 6:

[0771] The server uses emotion analysis tools to determine the parent's emotional state from their voice and facial expressions. For example, if the parent is feeling dissatisfied or confused, setting suggestions based on that emotional state are automatically generated. The input is voice and facial expression data, and the output is setting suggestions based on the emotional state.

[0772] Step 7:

[0773] The server generates suggestions based on sentiment analysis using an AI model. These suggestions, based on the prompt, are then displayed to the user. The input is the result of the sentiment analysis, and the output is the generated suggestion. Specifically, the server provides the AI ​​model with the prompt, "Analyze the parent's emotions and generate a suggestion for an online activity monitoring application."

[0774] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0775] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0776] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0777] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0778] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0779] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0780] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0781] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0782] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0783] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0784] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0785] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0786] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0787] 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.

[0788] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0789] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0790] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0791] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0792] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0793] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0794] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0795] The following is further disclosed regarding the embodiments described above.

[0796] (Claim 1)

[0797] A data collection method for collecting usage history data from children's information terminals,

[0798] A data processing means that analyzes collected data and generates a summary report for the parent,

[0799] A content evaluation method for evaluating the content accessed by information terminals and determining its appropriateness,

[0800] Filtering mechanisms to restrict access to inappropriate content and notify parents,

[0801] A voice recognition means for parents to adjust filtering settings using voice input,

[0802] A system that includes this.

[0803] (Claim 2)

[0804] The system according to claim 1, which includes means for notifying a parent display device of the content and the reason for blocking when the content accessed by the information terminal is deemed inappropriate.

[0805] (Claim 3)

[0806] The system according to claim 1, which includes a setting change means that analyzes the voice input from a parent and automatically reflects the setting change.

[0807] "Example 1"

[0808] (Claim 1)

[0809] Information gathering means for collecting operation records from electronic devices,

[0810] An information analysis tool that analyzes collected information and generates a summary report for parents,

[0811] An evaluation method for evaluating the content accessed by electronic devices and determining its appropriateness,

[0812] Restrictions to limit access to inappropriate content and to notify parents,

[0813] A voice interpretation tool for parents to adjust settings using voice commands,

[0814] A system that includes this.

[0815] (Claim 2)

[0816] The system according to claim 1, further comprising means for notifying a parent or guardian's display device of the content and the reason for the restriction if the content accessed by the electronic device is deemed inappropriate.

[0817] (Claim 3)

[0818] The system according to claim 1, which includes an adjustment means that analyzes the voice given by a parent or guardian and automatically reflects the setting changes.

[0819] "Application Example 1"

[0820] (Claim 1)

[0821] A data collection method for collecting behavioral history data from a child's device,

[0822] A data processing means that analyzes the collected data and generates a summary report for the parent,

[0823] A content evaluation means for evaluating the information accessed by the user device and determining its appropriateness,

[0824] Filtering mechanisms to restrict access to inappropriate information and notify parents,

[0825] A voice recognition means for parents to adjust filtering settings using voice input,

[0826] A behavioral analysis tool that detects abnormalities based on a child's behavioral patterns and provides warnings to parents,

[0827] A system that includes this.

[0828] (Claim 2)

[0829] The system according to claim 1, which includes means for notifying the parent display device of the content of the information accessed by the user device and the reason for the access restriction if the information is deemed inappropriate.

[0830] (Claim 3)

[0831] The system according to claim 1, which includes a setting adjustment means that analyzes the voice input from a parent and automatically reflects the setting changes.

[0832] "Example 2 of combining an emotion engine"

[0833] (Claim 1)

[0834] Information acquisition means for obtaining usage history information from the user's device,

[0835] An information processing device that analyzes acquired information and creates a summary report for parents,

[0836] Resource evaluation means for assessing and evaluating the validity of information resources connected to a user terminal,

[0837] Restrictions to limit access to inappropriate information resources and to notify parents,

[0838] A voice analysis means for parents to adjust restriction settings using voice input,

[0839] An emotional analysis tool that analyzes the emotional state of parents and suggests adjustments to settings,

[0840] A system that includes this.

[0841] (Claim 2)

[0842] The system according to claim 1, which includes means for notifying a parent's display device of the content and reason for restriction if the information resource to which the user's terminal is connected is determined to be inappropriate.

[0843] (Claim 3)

[0844] The system according to claim 1, which includes a setting application means that analyzes the voice input made by a parent or guardian and automatically applies the setting changes.

[0845] "Application example 2 when combining with an emotional engine"

[0846] (Claim 1)

[0847] A data acquisition method for collecting operation history data from electronic devices for children,

[0848] A data analysis tool that analyzes acquired data and generates a summary report for the parent,

[0849] Information evaluation means for evaluating and determining the validity of information resources accessed by electronic devices,

[0850] Blocking measures to restrict access to inappropriate information resources and notify parents,

[0851] A voice recognition means for parents to adjust blocking settings using verbal input,

[0852] An emotional analysis method for analyzing the emotional state of parents and proposing appropriate modifications to blocking settings,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, which includes means for notifying a parent display device of the content and reason for blocking an information resource accessed by an electronic device if it is determined to be inappropriate.

[0856] (Claim 3)

[0857] The system according to claim 1, which includes a setting change means that analyzes the voice input of a parent and automatically reflects the setting change, and an emotion analysis means that analyzes the parent's emotions and makes corresponding correction suggestions. [Explanation of symbols]

[0858] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A data collection method for collecting usage history data from children's information terminals, A data processing means that analyzes collected data and generates a summary report for the parent, A content evaluation method for evaluating the content accessed by information terminals and determining its appropriateness, Filtering mechanisms to restrict access to inappropriate content and notify parents, A voice recognition means for parents to adjust filtering settings using voice input, A system that includes this.

2. The system according to claim 1, which includes means for notifying the parent display device of the content and the reason for blocking when the content accessed by the information terminal is deemed inappropriate.

3. The system according to claim 1, which includes a setting change means that analyzes the voice input from a parent and automatically reflects the setting change.

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