system

Abstract

We provide the system. [Solution] The information processing device generates a configuration procedure and provides it to a terminal device via a network, The aforementioned terminal device has means for automatically performing configuration based on the provided configuration procedure and recording the results as a log, The terminal device includes means for notifying the user of the recorded results, The aforementioned information processing device includes means for collecting and analyzing recorded logs, 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 method for controlling a persona chatbot, which is 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 the chatbot's character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern information processing devices, the setting work is generally performed manually. Especially in a corporate environment, complex settings based on security policies are required. As a result, the time required for setting increases, and there is a possibility of security risks due to setting mistakes. Also, since it is difficult to consistently set a plurality of terminal devices, there are problems of reduced operation efficiency and increased management costs. It is necessary to solve such problems and improve the setting work of information processing devices to reduce human errors.

Means for Solving the Problems

[0005] This invention provides a means for an information processing device to generate a configuration procedure and provide it to a terminal device via a network, enabling the terminal device to perform automatic configuration based on the provided procedure. Furthermore, it includes means for recording the results as a log and notifying the user of the recorded results, allowing the user to immediately grasp the progress of the configuration work. In addition, the information processing device includes means for collecting and analyzing the recorded logs, thereby enabling security audits and prevention of configuration errors. These configurations make the configuration work more efficient and reduce security risks.

[0006] An "information processing device" is a device or system used to acquire, process, store, and transmit data, and includes computer servers and network equipment.

[0007] "Configuration procedure" refers to the specific operating procedures for configuring information processing equipment or terminal devices to a desired state, and includes security settings and application installation processes.

[0008] A "network" refers to a communication link that enables the transmission and reception of data between multiple devices, and includes the internet and local area networks (LANs).

[0009] "Terminal device" refers to devices such as computers and smartphones that communicate with information processing devices via a network.

[0010] "Automatic configuration" refers to a function that configures the device based on a program without requiring manual operation.

[0011] A "log" refers to a file that records the history of system operations and events, including configuration results and error information.

[0012] "User notifications" refer to information that the system provides to the user to inform them of settings completion or problems, and these notifications are delivered via methods such as pop-ups or email.

[0013] A "security audit" refers to an investigation and evaluation to verify whether the security policies and settings of an information system are being properly implemented. [Brief explanation of the drawing]

[0014] [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] It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Mode for Carrying Out the Invention

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a processor with a reference number (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one 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.

[0018] In the following embodiments, a RAM (Random Access Memory) with a reference number is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a storage with a reference number is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] In this invention, the information processing device is programmed to generate configuration procedures based on security policies and application requirements, and to distribute them to terminal devices. Specifically, the information processing device creates detailed procedure manuals based on the information and conditions necessary for configuration. These manuals include instructions regarding security software settings and network configuration. The information processing device transmits these procedures to terminal devices via the network.

[0036] The terminal device analyzes the configuration instructions received from the information processing device. Furthermore, it is programmed to automatically perform necessary configuration operations based on the analysis results. For example, based on the configuration instructions, it may install virus scanning software and download the latest database. In the case of network settings, it may configure the proxy server address and port number and adjust access permissions for various applications.

[0037] Once the configuration is complete, the terminal device records the results as a detailed log and sends a system status notification to the user. This notification includes details of successful configurations and any errors. Furthermore, if necessary, the log information can be collected and analyzed later by an information processing device for use in security audits and problem resolution.

[0038] As a concrete example, consider the initial setup of PCs in a corporate environment. The server generates the necessary security updates and application installation procedures for each PC and distributes them to the PC's terminal device. The terminal device automatically performs the updates and configures the various applications. After completion, the user is notified that the configuration has been successfully completed, and at the same time, logs are sent to the server and stored for security audits.

[0039] Thus, using this system speeds up the setup process and significantly reduces human error. This is expected to improve overall operational efficiency and reduce security risks within the company.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The server generates configuration instructions based on the company's security policies and operational requirements. These instructions include specific procedures for software installation, security settings, and network configuration. The generated instructions are stored until they are ready for distribution to each terminal device.

[0043] Step 2:

[0044] The server transmits the prepared configuration instructions to the target terminal device via the network. This efficient distribution is carried out using file formats and protocols compatible with each terminal device.

[0045] Step 3:

[0046] The terminal receives the configuration instructions from the server as a URI or file path and parses their contents. This parsing prepares the device for performing the configuration operations in the correct order, while also downloading necessary files and verifying conditions.

[0047] Step 4:

[0048] The device automates configuration operations that would normally be performed manually, based on the analysis results. Specifically, it automatically installs specified applications, configures security software, and sets up Wi-Fi. If an error occurs during the process, it performs appropriate error handling and manages the interruption or retries of the operation.

[0049] Step 5:

[0050] The device logs the results of the automated configuration process. This log includes details of successful and failed operations, as well as any errors that occurred, and is used for future audits and troubleshooting.

[0051] Step 6:

[0052] The device notifies the user of the completion status of the setup. The notification is sent via a pop-up message or email, allowing the user to verify their settings and perform additional actions as needed.

[0053] Step 7:

[0054] The server uses log data collected from terminals to analyze compliance with security policies and identify any problems. This allows administrators to understand the overall security status of the system and identify necessary improvements.

[0055] (Example 1)

[0056] 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."

[0057] Configuring numerous terminal devices within a company or organization manually is a laborious task prone to errors. Furthermore, maintaining consistency and accuracy in configurations is crucial to prevent security vulnerabilities from being exploited. Therefore, there is a need for efficient and automated solutions to configure each terminal, reducing operational errors and security risks.

[0058] 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.

[0059] In this invention, the server includes means for generating configuration procedures based on prompt statements using a generative model, means for providing the configuration procedures to a terminal device via a network using a secure communication protocol, and means for collecting and analyzing recorded logs for use in security audits. This makes it possible for the terminal device to analyze the received procedures, automatically perform appropriate settings, prevent configuration errors, and improve security.

[0060] An "information processing device" is a device that uses a generative model to create configuration procedures and provides them to terminal devices via a network.

[0061] A "terminal device" is a device that receives setting instructions provided by an information processing device, analyzes them, and automatically performs the settings based on the instructions.

[0062] A "generative model" is an algorithm or system used to automatically generate configuration steps based on prompt statements.

[0063] A "prompt statement" is a text input that describes the instructions given when generating a configuration procedure for a generative model.

[0064] A "secure communication protocol" is a set of communication rules used to protect the confidentiality and integrity of information during data transfer over a network.

[0065] A "log" is data that records in detail the results and process of automatic configuration performed by a terminal device.

[0066] A "security audit" is the process of verifying whether information systems comply with security policies and standards, and identifying areas for improvement.

[0067] To implement this invention, a server acting as an information processing device and terminal devices that receive and execute configuration procedures are required. The server analyzes prompt messages using a generative AI model and automatically generates configuration procedures suitable for each terminal device. Because the generative AI model utilizes machine learning algorithms, it can dynamically create the optimal procedure based on the security policies and application requirements of the operating environment.

[0068] The server also distributes the generated configuration instructions to terminal devices over the network using secure communication protocols, such as SSH or TLS. Encryption techniques are used during this process to protect the confidentiality and integrity of the information. The terminal device receives these instructions and interprets them using its built-in parsing algorithm.

[0069] The terminal device automatically installs necessary software and configures the network and applications appropriately based on the interpreted procedures. This process includes installing antivirus software and updating the database to the latest version. Success and failure statuses are recorded in a log.

[0070] The recorded logs are periodically sent to the server for security audits. The server analyzes them to verify that the system is operating in accordance with security policies. Users receive notifications from their terminal devices when the configuration is complete and can verify the correctness of the configuration and whether there are any problems.

[0071] For example, when a company distributes new computers to its employees, the server prompts an AI model to "generate all necessary security updates and application setup instructions for the new employee PCs." This procedure significantly streamlines the setup process for multiple PCs, reduces human error, and ultimately improves overall security.

[0072] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0073] Step 1:

[0074] The server prepares the prompt. The user provides the server with a prompt statement to input into the generated AI model. This prompt statement contains the requirements that form the basis for generating the configuration procedure. The server receives the prompt statement and prepares to input it into the generated AI model and perform the analysis.

[0075] Step 2:

[0076] The server generates configuration instructions based on prompts. The generation AI model analyzes the input prompts and automatically generates detailed configuration instructions to be applied to each terminal device. The generation AI model performs data processing and condition evaluation based on the prompts and outputs them as specific procedure manuals. The output includes instructions for configuring security software and installing applications.

[0077] Step 3:

[0078] The server distributes the generated configuration instructions. The server sends the generated instructions to terminal devices using a secure communication protocol. The input is the generated instructions, and the output reaches each terminal device through the transmission process. The server protects the confidentiality of the information using encryption technology during transmission.

[0079] Step 4:

[0080] The terminal receives and analyzes the setup procedure. The terminal device takes the procedure document received from the server as input and interprets the procedure using its built-in analysis algorithm. After analysis, it outputs a list of necessary operations and prepares for automatic configuration based on that list. Specifically, this includes which software to install and which network settings to apply.

[0081] Step 5:

[0082] The terminal performs automatic configuration. The terminal device automatically installs necessary software and configures network settings according to the analysis results. The input is a list of analyzed operations, and the output is the execution results. Specific actions include installing antivirus software and changing proxy settings.

[0083] Step 6:

[0084] The terminal records and notifies the user of the completion of the setup. The terminal device records the results of the automatic setup as a log and notifies the user of the results. The input is the result of the setup execution, and the output is the generation of a log file and the sending of a notification to the user detailing the success or error.

[0085] Step 7:

[0086] The server collects and analyzes logs. The server receives logs sent from terminals as input and analyzes them for security audits. Based on the analysis results, data is output to identify operational improvements and prevent configuration errors. This process improves the overall security and efficiency of the system.

[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] Modern information devices are exposed to a variety of security threats, requiring specialized knowledge to address them. Furthermore, users often have limited time and resources to deal with these issues. Manual configuration errors also increase security risks. There is a need for an efficient and automated security management system to solve these problems.

[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] This invention includes a server that generates a configuration procedure and provides it to a device via a communication network, a device that performs automatic configuration based on the provided configuration procedure and retains the results as a record, and an information processing device that collects and analyzes the recorded logs. This enables the automation of security settings and the efficiency of risk management.

[0092] An "information processing device" is a device that generates, transmits, receives, and analyzes data, and is responsible for generating and providing configuration procedures to devices.

[0093] A "communication network" refers to the entire network infrastructure used to transmit data between information processing devices and other devices.

[0094] A "device" refers to a terminal device that receives configuration instructions from an information processing device, performs automatic configuration, and records the results.

[0095] "Security software" is a general term for programs that run on a device to prevent damage from unauthorized access and viruses.

[0096] "Protection auditing" is an analytical method that evaluates the security status based on logs collected by information processing devices to prevent misconfigurations and potential vulnerabilities.

[0097] "To retain as a record" means to save the settings performed on the device and their results as data, making them available for later analysis and review.

[0098] The system that realizes this invention consists of the interaction of a server, a device, and a user. The details are described below.

[0099] The server functions as the primary information processing unit, generating configuration instructions for each device. These instructions include detailed guidance based on security policies and application requirements. The generated configuration instructions are then distributed to the devices via the communication network.

[0100] The device receives configuration instructions from the server, analyzes them, and automatically executes the configuration as needed. In particular, the installation and updating of security software and the adjustment of network settings are automated. This allows users to easily use the device safely and appropriately.

[0101] Furthermore, the device retains records of the settings performed and saves them as logs. The user is then notified of the settings results and the device's security status. This allows the user to always be aware of the status of their device.

[0102] The server collects and analyzes logs sent from devices. This analysis enables protective audits to improve the overall security of the system. This allows for proactive prevention of misconfigurations and potential risks.

[0103] As a concrete example, when a user connects to a public network while traveling, their device may automatically configure a virtual private network (VPN). In this case, the user automatically receives a notification stating, "VPN has been configured because you have connected to public Wi-Fi." This specific procedure is often configured in the format shown in the following example prompt message.

[0104] Example prompt: "Your smartphone requires updating the definition files of the newly installed antivirus software and automatic VPN setup. Please generate the setup instructions and apply them automatically."

[0105] This invention significantly reduces user effort and risk by highly automating security settings and management.

[0106] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0107] Step 1:

[0108] The server receives requests from the device regarding the necessary configurations. It uses device attribute information and security policies as input. It analyzes this data and performs data calculations to generate appropriate configuration instructions. The output is a set of specific configuration instructions.

[0109] Step 2:

[0110] The server sends the generated configuration instructions to the device via the communication network. At this stage, the input is the generated configuration instructions, and the output is the result of the transmission to the device. The device confirms receipt and prepares for the next automated configuration step.

[0111] Step 3:

[0112] The device analyzes the configuration instructions received from the server. The input is the configuration instructions from the server. This analysis determines the specific configuration actions to be performed. The output is a list of the specific configuration actions that will be executed.

[0113] Step 4:

[0114] The device automatically installs and updates security software. The input is an action list based on the analysis results. Data processing includes downloading and updating necessary programs. The output is the update to the latest version of the security software.

[0115] Step 5:

[0116] The device automatically adjusts network settings and optimizes them according to the communication network environment. Inputs include the current network status and connection requests. The output is a properly configured communication network status, preventing unauthorized access.

[0117] Step 6:

[0118] The device logs the results after all configuration steps are complete. The input for this log is the result of each configuration step. Data processing includes organizing and saving the log data. The output is detailed log data.

[0119] Step 7:

[0120] The user receives a notification from the device. The notification includes confirmation that the setup is complete and details thereof. The input is an excerpt from the generated log, and the output is an informational notification to the user.

[0121] Step 8:

[0122] The server collects logs from devices over the network and analyzes them. The input is log data collected from devices, and the output is a security audit report. This allows for an assessment of the overall security situation and the detection of potential risks.

[0123] 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.

[0124] This invention aims to automate the execution of setup procedures and improve the user experience by combining an information processing device, a terminal device, and an emotion engine that recognizes user emotions. The information processing device generates a setup procedure document based on the company's security policy and business requirements. The generated setup procedure document is distributed to each terminal device via the network.

[0125] The terminal device analyzes the configuration instructions received from the server and automatically performs the configuration operations as instructed. This includes application installation and security settings. After the configuration is complete, the terminal records the results in a detailed log and notifies the user.

[0126] Furthermore, the user's device is equipped with an emotion engine that recognizes their emotions based on their actions, facial expressions, and voice data when receiving notifications. The recognized emotions are then used to adjust subsequent notification methods and content. For example, if a user expresses dissatisfaction with a setting, the next notification can provide a more detailed explanation or offer a different notification method.

[0127] As a concrete example, consider a scenario where a company's IT department is simultaneously deploying new security software to the entire department. A server generates a configuration manual containing all the necessary steps for deploying this new software and distributes it to each employee's terminal. The terminal automatically installs the software based on this manual and logs its completion status. When the completion notification appears on the user's device, if the user smiles, the emotion engine records that positive reaction. Conversely, if a confused expression is detected, improvements to the notification content will be considered in subsequent processes.

[0128] Thus, this system not only streamlines the automated setup process but also enables a more personalized user experience by monitoring user responses and providing feedback. As a result, it achieves both increased efficiency in setup and improved end-user satisfaction.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] The server generates configuration manuals, including software installation and network configuration procedures, based on the company's security policies and business requirements. These manuals are consistently applied to each terminal device.

[0132] Step 2:

[0133] The server sends the generated configuration instructions to the terminal devices over the network. This transmission is implemented using a secure protocol to ensure the safe delivery of the instructions to each terminal.

[0134] Step 3:

[0135] The terminal interprets the configuration instructions received from the server and automatically performs the necessary system settings. For example, it can download and install specific security software without user intervention.

[0136] Step 4:

[0137] Once the configuration process is complete, the terminal records all operations in a detailed log. This log includes the success or failure of each step performed, as well as any error codes.

[0138] Step 5:

[0139] The device displays a notification to the user indicating that the setup is complete. When this notification is displayed, the emotion engine analyzes the user's facial expressions and voice to recognize their reaction. This allows the system to analyze the user's emotions regarding the notification content.

[0140] Step 6:

[0141] Once a user's emotions are analyzed, this information is collected as feedback and used to improve future notifications. For example, if the user's response is negative, the system will adjust to provide a clearer notification message next time.

[0142] Step 7:

[0143] The server collects logs and sentiment data sent from terminals and analyzes them for system-wide security audits and efficiency improvements. This analysis optimizes the system's deployment and continuously improves the user experience.

[0144] (Example 2)

[0145] 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".

[0146] In today's information technology environment, there is a demand for efficient automation of configuration and improved user experience. Furthermore, preventing errors and configuration mistakes during the configuration process is crucial. However, conventional systems have struggled to achieve both simultaneously. Specifically, the complexity of configuration procedures made them prone to human error, and feedback that considered the emotional reactions of users was insufficient.

[0147] 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.

[0148] In this invention, the server includes means for an information processing system to generate a configuration instruction sheet and provide it to a computing device via a communication network; means for the computing device to perform automatic adjustments based on the provided configuration instruction sheet and record the results as recorded information; and means for emotion detection means installed in the computing device to analyze the user's reaction and adjust the next notification and its content. This enables more efficient and personalized system operation through automated settings and feedback based on the user's emotions.

[0149] An "information processing system" refers to a device or method for generating, processing, and managing data, and has the function of providing information to other devices via a communication network.

[0150] A "configuration instruction sheet" is a document or data file generated by an information processing system that describes the detailed procedures for configuring a computing device.

[0151] "Communication network" refers to the network infrastructure used for sending and receiving data between information processing systems and computing devices, and includes wired or wireless transmission lines.

[0152] A "computing device" refers to a machine or device used for various calculations and information processing, and has the function of performing automatic adjustments based on the provided configuration instructions.

[0153] "Recorded information" refers to data used by a computing device to record the results of setting operations, and includes details such as whether the operation was successful or not, error messages, and the time of execution.

[0154] "Emotion detection means" refers to a technology or device that analyzes the user's emotions from their facial expressions, voice, etc., and adjusts the next notification and its content based on the user's response.

[0155] "User" refers to an individual or group that operates an information processing system or computing device and benefits from adjustments made in accordance with the configuration instructions.

[0156] This invention aims to automate setup procedures and improve the user experience by combining an information processing system, a computing device, and a technology for analyzing user emotions. The information processing system uses a generative AI model to generate setup instructions based on the company's security policies and business requirements. This generation uses prompts such as, for example, "Please create specific procedures for the company-wide deployment of new software."

[0157] The server distributes the generated configuration instructions to each computing device via the communication network. Each computing device then analyzes the received configuration instructions and automatically executes the configuration operations. In this process, specific software such as the operating system's built-in scripting language or third-party automation tools are used. Examples include the installation and configuration of security software.

[0158] Once the setup is complete, the computing device saves the results as recorded information and notifies the user. This notification can be delivered in various forms, such as a pop-up message on the screen or by email.

[0159] The user's device is equipped with emotion detection technology that analyzes the user's emotions based on their facial expressions and voice when receiving notifications. The emotion analysis engine analyzes data recorded using the camera and microphone, and if the user shows a positive reaction, it saves the content of the next notification; if a negative reaction is detected, it improves the notification method and content. This feedback mechanism provides a personalized experience based on the user's reactions.

[0160] This makes it possible to streamline the setup process while simultaneously increasing user satisfaction.

[0161] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0162] Step 1:

[0163] The server uses a generative AI model based on the company's security policies and business requirements to generate configuration instructions. The input is the prompt "Create specific procedures for the company-wide rollout of new software." The generative AI model analyzes this prompt and outputs configuration instructions that include standardized installation procedures and security settings within the company.

[0164] Step 2:

[0165] The server distributes the generated configuration instructions to each terminal via the communication network. The input is the configuration instructions generated in step 1, which the server sends using an appropriate transmission protocol (e.g., HTTPS). The output is that the terminal receives the instructions.

[0166] Step 3:

[0167] The terminal analyzes the configuration instructions received from the server. The input is the received configuration instructions. In the analysis process, the terminal uses scripting languages ​​and automation tools to identify actions based on the instructions. For example, it prepares commands for installing specific software or changing security settings.

[0168] Step 4:

[0169] The terminal automatically performs configuration operations based on the configuration instructions. The input is the analysis result from step 3. The terminal sequentially executes the specified commands to install applications and apply security settings. The output is a log recording the results of each operation.

[0170] Step 5:

[0171] After the configuration process is complete, the terminal records the results as a detailed log and notifies the user. The input is the log information generated in step 4. The terminal formats this log and notifies the user that the configuration is complete. The notification is sent via a screen pop-up or email.

[0172] Step 6:

[0173] The emotion detection mechanism on the user's device analyzes the user's facial expressions and voice when they receive a notification. The input is the user's camera image and microphone audio data. The emotion engine analyzes this data and outputs the emotion the user expressed. For example, if a smile is detected, it is recorded as a positive response, and if a confused expression is detected, it is recorded as a signal for improvement.

[0174] Step 7:

[0175] The server implements measures to adjust the content and method of the next notification based on the collected sentiment data. The input is the sentiment data obtained in step 6. The server analyzes this data and, for example, if there are many negative responses, prepares a notification that includes a more detailed explanation. The output is the customized method of the next notification to the user.

[0176] (Application Example 2)

[0177] 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".

[0178] In modern information systems, user-facing configuration operations and security measures are becoming increasingly complex, leading to significant user burdens. Furthermore, user emotions and understanding are often not considered during configuration, potentially resulting in insufficient acceptance of settings or responses to notifications. Therefore, there is a growing need for efficient and user-centric configuration management systems.

[0179] 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.

[0180] In this invention, the server includes means for an information processing device to generate a setup procedure and provide it to a terminal device via a network, means for the terminal device to perform automatic setup based on the provided setup procedure and record the results, and means for the terminal device to analyze the user's emotions at the time of notification using an emotion recognition engine. This enables flexible adjustment of notification content according to the user's emotions, and further improves setting management efficiency and user experience.

[0181] An "information processing device" is a central management system for receiving, processing, and transmitting data, and is a device that generates configuration manuals and collects and analyzes data logs.

[0182] A "terminal device" is a device that is directly operated by the user, performs automatic configuration based on the provided setup procedure, and performs emotion recognition.

[0183] A "configuration procedure" is a set of instructions necessary to perform a specific operation, and is generated by an information processing device.

[0184] "Automatic configuration" refers to the process by which a terminal device changes the system configuration without requiring manual operation by the user, following the provided configuration procedure.

[0185] A "data log" is data that records the results of setting execution and system events, and is used for later analysis.

[0186] An "emotion recognition engine" is a system or software that analyzes a user's facial expressions and voice data to determine their emotional state.

[0187] "Adjusting notification content" is a process that aims to improve the user experience by optimizing the method and content of notifications based on user sentiment data.

[0188] The system for realizing this invention consists of an information processing device (server) and a terminal device. The server generates a configuration procedure based on the company's policy and transmits it to the terminal device via the network. The terminal device receives this configuration procedure, performs automatic configuration, and records the results as a data log. The terminal analyzes the user's emotions using an emotion recognition engine and adjusts the notification content based on the obtained information. This process can utilize APIs such as "Microsoft® Azure® Emotion API" for emotion recognition.

[0189] As a concrete example, consider a case where a company implements new security measures. The server generates configuration instructions for the new security software and distributes them to each terminal device. The terminal devices automatically install the software according to these instructions and record the progress and completion status as data logs. Upon completion of the configuration, the user's facial expressions and voice are analyzed by an emotion recognition engine, and if the user appears confused, a notification with a more detailed explanation is provided.

[0190] By utilizing a generative AI model, it's possible to obtain the expected output by giving a specific prompt, such as, "Tell me how to read the user's emotions from their facial expressions and optimize the content of smartphone notifications." This enables personalized notifications that respond to the user's emotions.

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

[0192] Step 1:

[0193] The server generates configuration procedures based on the company's security policies. It receives the company's security requirements and related data as input, retrieves or creates new procedure documents from the database based on this information, and outputs the generated configuration procedure documents. These documents are then used for subsequent automated configuration.

[0194] Step 2:

[0195] The server distributes the generated configuration instructions to the terminal device via the network. Using the generated instructions and network information as input, it completes the distribution of the instructions to the terminal device as output. This prepares the terminal device to receive the document.

[0196] Step 3:

[0197] The terminal device initiates automatic configuration based on the received configuration instructions. As input, it reads the received instructions and performs data processing to analyze their contents. As output, it records the configuration execution results and generates a data log. This log will be used for future analysis.

[0198] Step 4:

[0199] The terminal device uses an emotion recognition engine to analyze the user's facial expressions and voice data after setup is complete. It receives sensor data from the camera and microphone as input, and uses a generative AI model to identify emotions and obtain output. The output contains information about the user's emotional state.

[0200] Step 5:

[0201] The terminal device adjusts the content of the next notification based on the analyzed emotion information. It takes the emotion recognition results as input and processes them to determine the optimal notification method and content. As output, an adjusted notification profile is created. This provides more personalized notifications.

[0202] Step 6:

[0203] Users receive tailored notifications and review information about their settings and their results. Feedback is generated by receiving notifications sent from the device as input and understanding their content. This feedback is used to further optimize the system.

[0204] 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.

[0205] 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.

[0206] 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.

[0207] [Second Embodiment]

[0208] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0209] 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.

[0210] 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).

[0211] 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.

[0212] 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.

[0213] 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).

[0214] 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.

[0215] 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.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] 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".

[0220] In this invention, the information processing device is programmed to generate configuration procedures based on security policies and application requirements, and to distribute them to terminal devices. Specifically, the information processing device creates detailed procedure manuals based on the information and conditions necessary for configuration. These manuals include instructions regarding security software settings and network configuration. The information processing device transmits these procedures to terminal devices via the network.

[0221] The terminal device analyzes the configuration instructions received from the information processing device. Furthermore, it is programmed to automatically perform necessary configuration operations based on the analysis results. For example, based on the configuration instructions, it may install virus scanning software and download the latest database. In the case of network settings, it may configure the proxy server address and port number and adjust access permissions for various applications.

[0222] Once the configuration is complete, the terminal device records the results as a detailed log and sends a system status notification to the user. This notification includes details of successful configurations and any errors. Furthermore, if necessary, the log information can be collected and analyzed later by an information processing device for use in security audits and problem resolution.

[0223] As a concrete example, consider the initial setup of PCs in a corporate environment. The server generates the necessary security updates and application installation procedures for each PC and distributes them to the PC's terminal device. The terminal device automatically performs the updates and configures the various applications. After completion, the user is notified that the configuration has been successfully completed, and at the same time, logs are sent to the server and stored for security audits.

[0224] Thus, using this system speeds up the setup process and significantly reduces human error. This is expected to improve overall operational efficiency and reduce security risks within the company.

[0225] The following describes the processing flow.

[0226] Step 1:

[0227] The server generates configuration instructions based on the company's security policies and operational requirements. These instructions include specific procedures for software installation, security settings, and network configuration. The generated instructions are stored until they are ready for distribution to each terminal device.

[0228] Step 2:

[0229] The server transmits the prepared configuration instructions to the target terminal device via the network. This efficient distribution is carried out using file formats and protocols compatible with each terminal device.

[0230] Step 3:

[0231] The terminal receives the configuration instructions from the server as a URI or file path and parses their contents. This parsing prepares the device for performing the configuration operations in the correct order, while also downloading necessary files and verifying conditions.

[0232] Step 4:

[0233] The device automates configuration operations that would normally be performed manually, based on the analysis results. Specifically, it automatically installs specified applications, configures security software, and sets up Wi-Fi. If an error occurs during the process, it performs appropriate error handling and manages the interruption or retries of the operation.

[0234] Step 5:

[0235] The device logs the results of the automated configuration process. This log includes details of successful and failed operations, as well as any errors that occurred, and is used for future audits and troubleshooting.

[0236] Step 6:

[0237] The device notifies the user of the completion status of the setup. The notification is sent via a pop-up message or email, allowing the user to verify their settings and perform additional actions as needed.

[0238] Step 7:

[0239] The server uses log data collected from terminals to analyze compliance with security policies and identify any problems. This allows administrators to understand the overall security status of the system and identify necessary improvements.

[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] Configuring numerous terminal devices within a company or organization manually is a laborious task prone to errors. Furthermore, maintaining consistency and accuracy in configurations is crucial to prevent security vulnerabilities from being exploited. Therefore, there is a need for efficient and automated solutions to configure each terminal, reducing operational errors and security risks.

[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 means for generating configuration procedures based on prompt statements using a generative model, means for providing the configuration procedures to a terminal device via a network using a secure communication protocol, and means for collecting and analyzing recorded logs for use in security audits. This makes it possible for the terminal device to analyze the received procedures, automatically perform appropriate settings, prevent configuration errors, and improve security.

[0245] An "information processing device" is a device that uses a generative model to create configuration procedures and provides them to terminal devices via a network.

[0246] A "terminal device" is a device that receives setting instructions provided by an information processing device, analyzes them, and automatically performs the settings based on the instructions.

[0247] A "generative model" is an algorithm or system used to automatically generate configuration steps based on prompt statements.

[0248] A "prompt statement" is a text input that describes the instructions given when generating a configuration procedure for a generative model.

[0249] A "secure communication protocol" is a set of communication rules used to protect the confidentiality and integrity of information during data transfer over a network.

[0250] A "log" is data that records in detail the results and process of automatic configuration performed by a terminal device.

[0251] A "security audit" is the process of verifying whether information systems comply with security policies and standards, and identifying areas for improvement.

[0252] To implement this invention, a server acting as an information processing device and terminal devices that receive and execute configuration procedures are required. The server analyzes prompt messages using a generative AI model and automatically generates configuration procedures suitable for each terminal device. Because the generative AI model utilizes machine learning algorithms, it can dynamically create the optimal procedure based on the security policies and application requirements of the operating environment.

[0253] The server also distributes the generated configuration instructions to terminal devices over the network using secure communication protocols, such as SSH or TLS. Encryption techniques are used during this process to protect the confidentiality and integrity of the information. The terminal device receives these instructions and interprets them using its built-in parsing algorithm.

[0254] The terminal device automatically installs necessary software and configures the network and applications appropriately based on the interpreted procedures. This process includes installing antivirus software and updating the database to the latest version. Success and failure statuses are recorded in a log.

[0255] The recorded logs are periodically sent to the server for security audits. The server analyzes them to verify that the system is operating in accordance with security policies. Users receive notifications from their terminal devices when the configuration is complete and can verify the correctness of the configuration and whether there are any problems.

[0256] For example, when a company distributes new computers to its employees, the server prompts an AI model to "generate all necessary security updates and application setup instructions for the new employee PCs." This procedure significantly streamlines the setup process for multiple PCs, reduces human error, and ultimately improves overall security.

[0257] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0258] Step 1:

[0259] The server prepares the prompt. The user provides the server with a prompt statement to input into the generated AI model. This prompt statement contains the requirements that form the basis for generating the configuration procedure. The server receives the prompt statement and prepares to input it into the generated AI model and perform the analysis.

[0260] Step 2:

[0261] The server generates configuration instructions based on prompts. The generation AI model analyzes the input prompts and automatically generates detailed configuration instructions to be applied to each terminal device. The generation AI model performs data processing and condition evaluation based on the prompts and outputs them as specific procedure manuals. The output includes instructions for configuring security software and installing applications.

[0262] Step 3:

[0263] The server distributes the generated configuration instructions. The server sends the generated instructions to terminal devices using a secure communication protocol. The input is the generated instructions, and the output reaches each terminal device through the transmission process. The server protects the confidentiality of the information using encryption technology during transmission.

[0264] Step 4:

[0265] The terminal receives and analyzes the setup procedure. The terminal device takes the procedure document received from the server as input and interprets the procedure using its built-in analysis algorithm. After analysis, it outputs a list of necessary operations and prepares for automatic configuration based on that list. Specifically, this includes which software to install and which network settings to apply.

[0266] Step 5:

[0267] The terminal performs automatic configuration. The terminal device automatically installs necessary software and configures network settings according to the analysis results. The input is a list of analyzed operations, and the output is the execution results. Specific actions include installing antivirus software and changing proxy settings.

[0268] Step 6:

[0269] The terminal records and notifies the user of the completion of the setup. The terminal device records the results of the automatic setup as a log and notifies the user of the results. The input is the result of the setup execution, and the output is the generation of a log file and the sending of a notification to the user detailing the success or error.

[0270] Step 7:

[0271] The server collects and analyzes logs. The server receives logs sent from terminals as input and analyzes them for security audits. Based on the analysis results, data is output to identify operational improvements and prevent configuration errors. This process improves the overall security and efficiency of the system.

[0272] (Application Example 1)

[0273] 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."

[0274] Modern information devices are exposed to a variety of security threats, requiring specialized knowledge to address them. Furthermore, users often have limited time and resources to deal with these issues. Manual configuration errors also increase security risks. There is a need for an efficient and automated security management system to solve these problems.

[0275] 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.

[0276] This invention includes a server that generates a configuration procedure and provides it to a device via a communication network, a device that performs automatic configuration based on the provided configuration procedure and retains the results as a record, and an information processing device that collects and analyzes the recorded logs. This enables the automation of security settings and the efficiency of risk management.

[0277] An "information processing device" is a device that generates, transmits, receives, and analyzes data, and plays a role in generating setup procedures and providing them to devices.

[0278] A "communication network" refers to the entire network infrastructure for transmitting data between an information processing device and a device.

[0279] A "device" refers to a terminal device that receives setup procedures from an information processing device, performs automatic setup, and records the results.

[0280] "Security software" is a general term for programs that run on a device to prevent damage caused by unauthorized access or viruses.

[0281] "Protection auditing" is an analysis method for evaluating the security state based on the logs collected by an information processing device and preventing configuration errors and potential vulnerabilities.

[0282] "Retain as a record" means to save the settings executed on a device and their results as data so that they can be used for later analysis and verification.

[0283] The system that realizes this invention is composed of the interaction of a server, a device, and a user. The details will be described below.

[0284] The server functions as the main information processing device and generates setup procedures for each device. This includes detailed instructions based on security policies and application requirements. The generated setup procedures are distributed to the devices via the communication network.

[0285] The device receives the configuration procedure provided by the server, analyzes its content, and then automatically executes the configuration as necessary. In particular, the installation and update of security software and the adjustment of network settings are automated. This enables the user to easily use the device safely and appropriately.

[0286] In addition, the device retains the results of the executed configuration as a record and saves it as a log. There is also a mechanism to notify the user of the configuration results and the security status of the device. This allows the user to always know the state of their device.

[0287] The server collects the logs sent from the device and performs analysis. Based on this analysis, a protection audit is conducted to improve the overall security of the system. This can prevent configuration errors and potential risks in advance.

[0288] As a specific example, when a user connects to a public communication network at a travel destination, there is a case where the device automatically configures a virtual private network. In this case, the user will automatically receive a notification saying, "Since you are connected to public Wi-Fi, a VPN has been configured." This specific procedure is often set in the form shown in the following example of prompt text.

[0289] Prompt example: "An update of the definition file of the virus scanning software newly installed on the smartphone and an automatic VPN configuration are required. Please generate and automatically apply the configuration procedure."

[0290] According to this invention, security configuration and management are highly automated, significantly reducing the user's effort and risk.

[0291] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0292] Step 1:

[0293] The server receives requests from the device regarding the necessary configurations. It uses device attribute information and security policies as input. It analyzes this data and performs data calculations to generate appropriate configuration instructions. The output is a set of specific configuration instructions.

[0294] Step 2:

[0295] The server sends the generated configuration instructions to the device via the communication network. At this stage, the input is the generated configuration instructions, and the output is the result of the transmission to the device. The device confirms receipt and prepares for the next automated configuration step.

[0296] Step 3:

[0297] The device analyzes the configuration instructions received from the server. The input is the configuration instructions from the server. This analysis determines the specific configuration actions to be performed. The output is a list of the specific configuration actions that will be executed.

[0298] Step 4:

[0299] The device automatically installs and updates security software. The input is an action list based on the analysis results. Data processing includes downloading and updating necessary programs. The output is the update to the latest version of the security software.

[0300] Step 5:

[0301] The device automatically adjusts network settings and optimizes them according to the communication network environment. Inputs include the current network status and connection requests. The output is a properly configured communication network status, preventing unauthorized access.

[0302] Step 6:

[0303] After all settings are completed, the device records the results as logs. The input at this time is the implementation result of each setting procedure. Data processing includes the arrangement and storage of log data. The output is detailed log data.

[0304] Step 7:

[0305] The user receives a notification from the device. The notification includes the fact that the settings are completed and its details. The input is the extracted information from the generated log, and the output is the information notification to the user.

[0306] Step 8:

[0307] The server collects the logs from the device through the network and analyzes them. The input is the log data collected from the device, and the output is a security audit report. Thereby, the overall security situation is evaluated and potential risks are detected.

[0308] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform specific processing using the user's emotion.

[0309] The present invention aims to automatically execute the setting procedure and improve the user experience associated therewith by combining an information processing device, a terminal device, and an emotion engine for recognizing the user's emotion. The information processing device generates a setting procedure manual based on the enterprise's security policy and business requirements. The generated setting procedure manual is distributed to each terminal device via the network.

[0310] The terminal device analyzes the setting procedure manual received from the server and automatically executes the setting operation as instructed. This includes the installation of applications and security settings, etc. After the settings are completed, the terminal records the results in a detailed log and notifies the user.

[0311] Furthermore, the user's device is equipped with an emotion engine that recognizes their emotions based on their actions, facial expressions, and voice data when receiving notifications. The recognized emotions are then used to adjust subsequent notification methods and content. For example, if a user expresses dissatisfaction with a setting, the next notification can provide a more detailed explanation or offer a different notification method.

[0312] As a concrete example, consider a scenario where a company's IT department is simultaneously deploying new security software to the entire department. A server generates a configuration manual containing all the necessary steps for deploying this new software and distributes it to each employee's terminal. The terminal automatically installs the software based on this manual and logs its completion status. When the completion notification appears on the user's device, if the user smiles, the emotion engine records that positive reaction. Conversely, if a confused expression is detected, improvements to the notification content will be considered in subsequent processes.

[0313] Thus, this system not only streamlines the automated setup process but also enables a more personalized user experience by monitoring user responses and providing feedback. As a result, it achieves both increased efficiency in setup and improved end-user satisfaction.

[0314] The following describes the processing flow.

[0315] Step 1:

[0316] The server generates configuration manuals, including software installation and network configuration procedures, based on the company's security policies and business requirements. These manuals are consistently applied to each terminal device.

[0317] Step 2:

[0318] The server sends the generated configuration instructions to the terminal devices over the network. This transmission is implemented using a secure protocol to ensure the safe delivery of the instructions to each terminal.

[0319] Step 3:

[0320] The terminal interprets the configuration instructions received from the server and automatically performs the necessary system settings. For example, it can download and install specific security software without user intervention.

[0321] Step 4:

[0322] Once the configuration process is complete, the terminal records all operations in a detailed log. This log includes the success or failure of each step performed, as well as any error codes.

[0323] Step 5:

[0324] The device displays a notification to the user indicating that the setup is complete. When this notification is displayed, the emotion engine analyzes the user's facial expressions and voice to recognize their reaction. This allows the system to analyze the user's emotions regarding the notification content.

[0325] Step 6:

[0326] Once a user's emotions are analyzed, this information is collected as feedback and used to improve future notifications. For example, if the user's response is negative, the system will adjust to provide a clearer notification message next time.

[0327] Step 7:

[0328] The server collects logs and sentiment data sent from terminals and analyzes them for system-wide security audits and efficiency improvements. This analysis optimizes the system's deployment and continuously improves the user experience.

[0329] (Example 2)

[0330] 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".

[0331] In today's information technology environment, there is a demand for efficient automation of configuration and improved user experience. Furthermore, preventing errors and configuration mistakes during the configuration process is crucial. However, conventional systems have struggled to achieve both simultaneously. Specifically, the complexity of configuration procedures made them prone to human error, and feedback that considered the emotional reactions of users was insufficient.

[0332] 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.

[0333] In this invention, the server includes means for an information processing system to generate a configuration instruction sheet and provide it to a computing device via a communication network; means for the computing device to perform automatic adjustments based on the provided configuration instruction sheet and record the results as recorded information; and means for emotion detection means installed in the computing device to analyze the user's reaction and adjust the next notification and its content. This enables more efficient and personalized system operation through automated settings and feedback based on the user's emotions.

[0334] An "information processing system" refers to a device or method for generating, processing, and managing data, and has the function of providing information to other devices via a communication network.

[0335] A "configuration instruction sheet" is a document or data file generated by an information processing system that describes the detailed procedures for configuring a computing device.

[0336] "Communication network" refers to the network infrastructure used for sending and receiving data between information processing systems and computing devices, and includes wired or wireless transmission lines.

[0337] A "computing device" refers to a machine or device used for various calculations and information processing, and has the function of performing automatic adjustments based on the provided configuration instructions.

[0338] "Recorded information" refers to data used by a computing device to record the results of setting operations, and includes details such as whether the operation was successful or not, error messages, and the time of execution.

[0339] "Emotion detection means" refers to a technology or device that analyzes the user's emotions from their facial expressions, voice, etc., and adjusts the next notification and its content based on the user's response.

[0340] "User" refers to an individual or group that operates an information processing system or computing device and benefits from adjustments made in accordance with the configuration instructions.

[0341] This invention aims to automate setup procedures and improve the user experience by combining an information processing system, a computing device, and a technology for analyzing user emotions. The information processing system uses a generative AI model to generate setup instructions based on the company's security policies and business requirements. This generation uses prompts such as, for example, "Please create specific procedures for the company-wide deployment of new software."

[0342] The server distributes the generated configuration instructions to each computing device via the communication network. Each computing device then analyzes the received configuration instructions and automatically executes the configuration operations. In this process, specific software such as the operating system's built-in scripting language or third-party automation tools are used. Examples include the installation and configuration of security software.

[0343] Once the setup is complete, the computing device saves the results as recorded information and notifies the user. This notification can be delivered in various forms, such as a pop-up message on the screen or by email.

[0344] The user's device is equipped with emotion detection technology that analyzes the user's emotions based on their facial expressions and voice when receiving notifications. The emotion analysis engine analyzes data recorded using the camera and microphone, and if the user shows a positive reaction, it saves the content of the next notification; if a negative reaction is detected, it improves the notification method and content. This feedback mechanism provides a personalized experience based on the user's reactions.

[0345] This makes it possible to streamline the setup process while simultaneously increasing user satisfaction.

[0346] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0347] Step 1:

[0348] The server uses a generative AI model based on the company's security policies and business requirements to generate configuration instructions. The input is the prompt "Create specific procedures for the company-wide rollout of new software." The generative AI model analyzes this prompt and outputs configuration instructions that include standardized installation procedures and security settings within the company.

[0349] Step 2:

[0350] The server distributes the generated configuration instructions to each terminal via the communication network. The input is the configuration instructions generated in step 1, which the server sends using an appropriate transmission protocol (e.g., HTTPS). The output is that the terminal receives the instructions.

[0351] Step 3:

[0352] The terminal analyzes the configuration instructions received from the server. The input is the received configuration instructions. In the analysis process, the terminal uses scripting languages ​​and automation tools to identify actions based on the instructions. For example, it prepares commands for installing specific software or changing security settings.

[0353] Step 4:

[0354] The terminal automatically performs configuration operations based on the configuration instructions. The input is the analysis result from step 3. The terminal sequentially executes the specified commands to install applications and apply security settings. The output is a log recording the results of each operation.

[0355] Step 5:

[0356] After the configuration process is complete, the terminal records the results as a detailed log and notifies the user. The input is the log information generated in step 4. The terminal formats this log and notifies the user that the configuration is complete. The notification is sent via a screen pop-up or email.

[0357] Step 6:

[0358] The emotion detection mechanism on the user's device analyzes the user's facial expressions and voice when they receive a notification. The input is the user's camera image and microphone audio data. The emotion engine analyzes this data and outputs the emotion the user expressed. For example, if a smile is detected, it is recorded as a positive response, and if a confused expression is detected, it is recorded as a signal for improvement.

[0359] Step 7:

[0360] The server implements measures to adjust the content and method of the next notification based on the collected sentiment data. The input is the sentiment data obtained in step 6. The server analyzes this data and, for example, if there are many negative responses, prepares a notification that includes a more detailed explanation. The output is the customized method of the next notification to the user.

[0361] (Application Example 2)

[0362] 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."

[0363] In modern information systems, user-facing configuration operations and security measures are becoming increasingly complex, leading to significant user burdens. Furthermore, user emotions and understanding are often not considered during configuration, potentially resulting in insufficient acceptance of settings or responses to notifications. Therefore, there is a growing need for efficient and user-centric configuration management systems.

[0364] 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.

[0365] In this invention, the server includes means for an information processing device to generate a setup procedure and provide it to a terminal device via a network, means for the terminal device to perform automatic setup based on the provided setup procedure and record the results, and means for the terminal device to analyze the user's emotions at the time of notification using an emotion recognition engine. This enables flexible adjustment of notification content according to the user's emotions, and further improves setting management efficiency and user experience.

[0366] An "information processing device" is a central management system for receiving, processing, and transmitting data, and is a device that generates configuration manuals and collects and analyzes data logs.

[0367] A "terminal device" is a device that is directly operated by the user, performs automatic configuration based on the provided setup procedure, and performs emotion recognition.

[0368] A "configuration procedure" is a set of instructions necessary to perform a specific operation, and is generated by an information processing device.

[0369] "Automatic configuration" refers to the process by which a terminal device changes the system configuration without requiring manual operation by the user, following the provided configuration procedure.

[0370] A "data log" is data that records the results of setting execution and system events, and is used for later analysis.

[0371] An "emotion recognition engine" is a system or software that analyzes a user's facial expressions and voice data to determine their emotional state.

[0372] "Adjusting notification content" is a process that aims to improve the user experience by optimizing the method and content of notifications based on user sentiment data.

[0373] The system for realizing this invention consists of an information processing device (server) and a terminal device. The server generates a configuration procedure based on the company's policies and transmits it to the terminal device via the network. The terminal device receives this configuration procedure, performs automatic configuration, and records the results as a data log. The terminal analyzes the user's emotions using an emotion recognition engine and adjusts the notification content based on the obtained information. This process can utilize APIs such as "Microsoft Azure Emotion API" for emotion recognition.

[0374] As a concrete example, consider a case where a company implements new security measures. The server generates configuration instructions for the new security software and distributes them to each terminal device. The terminal devices automatically install the software according to these instructions and record the progress and completion status as data logs. Upon completion of the configuration, the user's facial expressions and voice are analyzed by an emotion recognition engine, and if the user appears confused, a notification with a more detailed explanation is provided.

[0375] By utilizing a generative AI model, it's possible to obtain the expected output by giving a specific prompt, such as, "Tell me how to read the user's emotions from their facial expressions and optimize the content of smartphone notifications." This enables personalized notifications that respond to the user's emotions.

[0376] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0377] Step 1:

[0378] The server generates configuration procedures based on the company's security policies. It receives the company's security requirements and related data as input, retrieves or creates new procedure documents from the database based on this information, and outputs the generated configuration procedure documents. These documents are then used for subsequent automated configuration.

[0379] Step 2:

[0380] The server distributes the generated configuration instructions to the terminal device via the network. Using the generated instructions and network information as input, it completes the distribution of the instructions to the terminal device as output. This prepares the terminal device to receive the document.

[0381] Step 3:

[0382] The terminal device initiates automatic configuration based on the received configuration instructions. As input, it reads the received instructions and performs data processing to analyze their contents. As output, it records the configuration execution results and generates a data log. This log will be used for future analysis.

[0383] Step 4:

[0384] The terminal device uses an emotion recognition engine to analyze the user's facial expressions and voice data after setup is complete. It receives sensor data from the camera and microphone as input, and uses a generative AI model to identify emotions and obtain output. The output contains information about the user's emotional state.

[0385] Step 5:

[0386] The terminal device adjusts the content of the next notification based on the analyzed emotion information. It takes the emotion recognition results as input and processes them to determine the optimal notification method and content. As output, an adjusted notification profile is created. This provides more personalized notifications.

[0387] Step 6:

[0388] Users receive tailored notifications and review information about their settings and their results. Feedback is generated by receiving notifications sent from the device as input and understanding their content. This feedback is used to further optimize the system.

[0389] 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.

[0390] 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.

[0391] 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.

[0392] [Third Embodiment]

[0393] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0394] 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.

[0395] 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).

[0396] 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.

[0397] 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.

[0398] 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).

[0399] 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.

[0400] 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.

[0401] 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.

[0402] 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.

[0403] 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.

[0404] 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".

[0405] In this invention, the information processing device is programmed to generate configuration procedures based on security policies and application requirements, and to distribute them to terminal devices. Specifically, the information processing device creates detailed procedure manuals based on the information and conditions necessary for configuration. These manuals include instructions regarding security software settings and network configuration. The information processing device transmits these procedures to terminal devices via the network.

[0406] The terminal device analyzes the configuration instructions received from the information processing device. Furthermore, it is programmed to automatically perform necessary configuration operations based on the analysis results. For example, based on the configuration instructions, it may install virus scanning software and download the latest database. In the case of network settings, it may configure the proxy server address and port number and adjust access permissions for various applications.

[0407] Once the configuration is complete, the terminal device records the results as a detailed log and sends a system status notification to the user. This notification includes details of successful configurations and any errors. Furthermore, if necessary, the log information can be collected and analyzed later by an information processing device for use in security audits and problem resolution.

[0408] As a concrete example, consider the initial setup of PCs in a corporate environment. The server generates the necessary security updates and application installation procedures for each PC and distributes them to the PC's terminal device. The terminal device automatically performs the updates and configures the various applications. After completion, the user is notified that the configuration has been successfully completed, and at the same time, logs are sent to the server and stored for security audits.

[0409] Thus, using this system speeds up the setup process and significantly reduces human error. This is expected to improve overall operational efficiency and reduce security risks within the company.

[0410] The following describes the processing flow.

[0411] Step 1:

[0412] The server generates configuration instructions based on the company's security policies and operational requirements. These instructions include specific procedures for software installation, security settings, and network configuration. The generated instructions are stored until they are ready for distribution to each terminal device.

[0413] Step 2:

[0414] The server transmits the prepared configuration instructions to the target terminal device via the network. This efficient distribution is carried out using file formats and protocols compatible with each terminal device.

[0415] Step 3:

[0416] The terminal receives the configuration instructions from the server as a URI or file path and parses their contents. This parsing prepares the device for performing the configuration operations in the correct order, while also downloading necessary files and verifying conditions.

[0417] Step 4:

[0418] The device automates configuration operations that would normally be performed manually, based on the analysis results. Specifically, it automatically installs specified applications, configures security software, and sets up Wi-Fi. If an error occurs during the process, it performs appropriate error handling and manages the interruption or retries of the operation.

[0419] Step 5:

[0420] The device logs the results of the automated configuration process. This log includes details of successful and failed operations, as well as any errors that occurred, and is used for future audits and troubleshooting.

[0421] Step 6:

[0422] The device notifies the user of the completion status of the setup. The notification is sent via a pop-up message or email, allowing the user to verify their settings and perform additional actions as needed.

[0423] Step 7:

[0424] The server uses log data collected from terminals to analyze compliance with security policies and identify any problems. This allows administrators to understand the overall security status of the system and identify necessary improvements.

[0425] (Example 1)

[0426] 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."

[0427] Configuring numerous terminal devices within a company or organization manually is a laborious task prone to errors. Furthermore, maintaining consistency and accuracy in configurations is crucial to prevent security vulnerabilities from being exploited. Therefore, there is a need for efficient and automated solutions to configure each terminal, reducing operational errors and security risks.

[0428] 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.

[0429] In this invention, the server includes means for generating configuration procedures based on prompt statements using a generative model, means for providing the configuration procedures to a terminal device via a network using a secure communication protocol, and means for collecting and analyzing recorded logs for use in security audits. This makes it possible for the terminal device to analyze the received procedures, automatically perform appropriate settings, prevent configuration errors, and improve security.

[0430] An "information processing device" is a device that uses a generative model to create configuration procedures and provides them to terminal devices via a network.

[0431] A "terminal device" is a device that receives setting instructions provided by an information processing device, analyzes them, and automatically performs the settings based on the instructions.

[0432] A "generative model" is an algorithm or system used to automatically generate configuration steps based on prompt statements.

[0433] A "prompt statement" is a text input that describes the instructions given when generating a configuration procedure for a generative model.

[0434] A "secure communication protocol" is a set of communication rules used to protect the confidentiality and integrity of information during data transfer over a network.

[0435] A "log" is data that records in detail the results and process of automatic configuration performed by a terminal device.

[0436] A "security audit" is the process of verifying whether information systems comply with security policies and standards, and identifying areas for improvement.

[0437] To implement this invention, a server acting as an information processing device and terminal devices that receive and execute configuration procedures are required. The server analyzes prompt messages using a generative AI model and automatically generates configuration procedures suitable for each terminal device. Because the generative AI model utilizes machine learning algorithms, it can dynamically create the optimal procedure based on the security policies and application requirements of the operating environment.

[0438] The server also distributes the generated configuration instructions to terminal devices over the network using secure communication protocols, such as SSH or TLS. Encryption techniques are used during this process to protect the confidentiality and integrity of the information. The terminal device receives these instructions and interprets them using its built-in parsing algorithm.

[0439] The terminal device automatically installs necessary software and configures the network and applications appropriately based on the interpreted procedures. This process includes installing antivirus software and updating the database to the latest version. Success and failure statuses are recorded in a log.

[0440] The recorded logs are periodically sent to the server for security audits. The server analyzes them to verify that the system is operating in accordance with security policies. Users receive notifications from their terminal devices when the configuration is complete and can verify the correctness of the configuration and whether there are any problems.

[0441] For example, when a company distributes new computers to its employees, the server prompts an AI model to "generate all necessary security updates and application setup instructions for the new employee PCs." This procedure significantly streamlines the setup process for multiple PCs, reduces human error, and ultimately improves overall security.

[0442] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0443] Step 1:

[0444] The server prepares the prompt. The user provides the server with a prompt statement to input into the generated AI model. This prompt statement contains the requirements that form the basis for generating the configuration procedure. The server receives the prompt statement and prepares to input it into the generated AI model and perform the analysis.

[0445] Step 2:

[0446] The server generates configuration instructions based on prompts. The generation AI model analyzes the input prompts and automatically generates detailed configuration instructions to be applied to each terminal device. The generation AI model performs data processing and condition evaluation based on the prompts and outputs them as specific procedure manuals. The output includes instructions for configuring security software and installing applications.

[0447] Step 3:

[0448] The server distributes the generated configuration instructions. The server sends the generated instructions to terminal devices using a secure communication protocol. The input is the generated instructions, and the output reaches each terminal device through the transmission process. The server protects the confidentiality of the information using encryption technology during transmission.

[0449] Step 4:

[0450] The terminal receives and analyzes the setup procedure. The terminal device takes the procedure document received from the server as input and interprets the procedure using its built-in analysis algorithm. After analysis, it outputs a list of necessary operations and prepares for automatic configuration based on that list. Specifically, this includes which software to install and which network settings to apply.

[0451] Step 5:

[0452] The terminal performs automatic configuration. The terminal device automatically installs necessary software and configures network settings according to the analysis results. The input is a list of analyzed operations, and the output is the execution results. Specific actions include installing antivirus software and changing proxy settings.

[0453] Step 6:

[0454] The terminal records and notifies the user of the completion of the setup. The terminal device records the results of the automatic setup as a log and notifies the user of the results. The input is the result of the setup execution, and the output is the generation of a log file and the sending of a notification to the user detailing the success or error.

[0455] Step 7:

[0456] The server collects and analyzes logs. The server receives logs sent from terminals as input and analyzes them for security audits. Based on the analysis results, data is output to identify operational improvements and prevent configuration errors. This process improves the overall security and efficiency of the system.

[0457] (Application Example 1)

[0458] 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."

[0459] Modern information devices are exposed to a variety of security threats, requiring specialized knowledge to address them. Furthermore, users often have limited time and resources to deal with these issues. Manual configuration errors also increase security risks. There is a need for an efficient and automated security management system to solve these problems.

[0460] 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.

[0461] This invention includes a server that generates a configuration procedure and provides it to a device via a communication network, a device that performs automatic configuration based on the provided configuration procedure and retains the results as a record, and an information processing device that collects and analyzes the recorded logs. This enables the automation of security settings and the efficiency of risk management.

[0462] An "information processing device" is a device that generates, transmits, receives, and analyzes data, and is responsible for generating and providing configuration procedures to devices.

[0463] A "communication network" refers to the entire network infrastructure used to transmit data between information processing devices and other devices.

[0464] A "device" refers to a terminal device that receives configuration instructions from an information processing device, performs automatic configuration, and records the results.

[0465] "Security software" is a general term for programs that run on a device to prevent damage from unauthorized access and viruses.

[0466] "Protection auditing" is an analytical method that evaluates the security status based on logs collected by information processing devices to prevent misconfigurations and potential vulnerabilities.

[0467] "To retain as a record" means to save the settings performed on the device and their results as data, making them available for later analysis and review.

[0468] The system that realizes this invention consists of the interaction of a server, a device, and a user. The details are described below.

[0469] The server functions as the primary information processing unit, generating configuration instructions for each device. These instructions include detailed guidance based on security policies and application requirements. The generated configuration instructions are then distributed to the devices via the communication network.

[0470] The device receives configuration instructions from the server, analyzes them, and automatically executes the configuration as needed. In particular, the installation and updating of security software and the adjustment of network settings are automated. This allows users to easily use the device safely and appropriately.

[0471] Furthermore, the device retains records of the settings performed and saves them as logs. The user is then notified of the settings results and the device's security status. This allows the user to always be aware of the status of their device.

[0472] The server collects and analyzes logs sent from devices. This analysis enables protective audits to improve the overall security of the system. This allows for proactive prevention of misconfigurations and potential risks.

[0473] As a concrete example, when a user connects to a public network while traveling, their device may automatically configure a virtual private network (VPN). In this case, the user automatically receives a notification stating, "VPN has been configured because you have connected to public Wi-Fi." This specific procedure is often configured in the format shown in the following example prompt message.

[0474] Example prompt: "Your smartphone requires updating the definition files of the newly installed antivirus software and automatic VPN setup. Please generate the setup instructions and apply them automatically."

[0475] This invention significantly reduces user effort and risk by highly automating security settings and management.

[0476] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0477] Step 1:

[0478] The server receives requests from the device regarding the necessary configurations. It uses device attribute information and security policies as input. It analyzes this data and performs data calculations to generate appropriate configuration instructions. The output is a set of specific configuration instructions.

[0479] Step 2:

[0480] The server sends the generated configuration instructions to the device via the communication network. At this stage, the input is the generated configuration instructions, and the output is the result of the transmission to the device. The device confirms receipt and prepares for the next automated configuration step.

[0481] Step 3:

[0482] The device analyzes the configuration instructions received from the server. The input is the configuration instructions from the server. This analysis determines the specific configuration actions to be performed. The output is a list of the specific configuration actions that will be executed.

[0483] Step 4:

[0484] The device automatically installs and updates security software. The input is an action list based on the analysis results. Data processing includes downloading and updating necessary programs. The output is the update to the latest version of the security software.

[0485] Step 5:

[0486] The device automatically adjusts network settings and optimizes them according to the communication network environment. Inputs include the current network status and connection requests. The output is a properly configured communication network status, preventing unauthorized access.

[0487] Step 6:

[0488] The device logs the results after all configuration steps are complete. The input for this log is the result of each configuration step. Data processing includes organizing and saving the log data. The output is detailed log data.

[0489] Step 7:

[0490] The user receives a notification from the device. The notification includes confirmation that the setup is complete and details thereof. The input is an excerpt from the generated log, and the output is an informational notification to the user.

[0491] Step 8:

[0492] The server collects logs from devices over the network and analyzes them. The input is log data collected from devices, and the output is a security audit report. This allows for an assessment of the overall security situation and the detection of potential risks.

[0493] 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.

[0494] This invention aims to automate the execution of setup procedures and improve the user experience by combining an information processing device, a terminal device, and an emotion engine that recognizes user emotions. The information processing device generates a setup procedure document based on the company's security policy and business requirements. The generated setup procedure document is distributed to each terminal device via the network.

[0495] The terminal device analyzes the configuration instructions received from the server and automatically performs the configuration operations as instructed. This includes application installation and security settings. After the configuration is complete, the terminal records the results in a detailed log and notifies the user.

[0496] Furthermore, the user's device is equipped with an emotion engine that recognizes their emotions based on their actions, facial expressions, and voice data when receiving notifications. The recognized emotions are then used to adjust subsequent notification methods and content. For example, if a user expresses dissatisfaction with a setting, the next notification can provide a more detailed explanation or offer a different notification method.

[0497] As a concrete example, consider a scenario where a company's IT department is simultaneously deploying new security software to the entire department. A server generates a configuration manual containing all the necessary steps for deploying this new software and distributes it to each employee's terminal. The terminal automatically installs the software based on this manual and logs its completion status. When the completion notification appears on the user's device, if the user smiles, the emotion engine records that positive reaction. Conversely, if a confused expression is detected, improvements to the notification content will be considered in subsequent processes.

[0498] Thus, this system not only streamlines the automated setup process but also enables a more personalized user experience by monitoring user responses and providing feedback. As a result, it achieves both increased efficiency in setup and improved end-user satisfaction.

[0499] The following describes the processing flow.

[0500] Step 1:

[0501] The server generates configuration manuals, including software installation and network configuration procedures, based on the company's security policies and business requirements. These manuals are consistently applied to each terminal device.

[0502] Step 2:

[0503] The server sends the generated configuration instructions to the terminal devices over the network. This transmission is implemented using a secure protocol to ensure the safe delivery of the instructions to each terminal.

[0504] Step 3:

[0505] The terminal interprets the configuration instructions received from the server and automatically performs the necessary system settings. For example, it can download and install specific security software without user intervention.

[0506] Step 4:

[0507] Once the configuration process is complete, the terminal records all operations in a detailed log. This log includes the success or failure of each step performed, as well as any error codes.

[0508] Step 5:

[0509] The device displays a notification to the user indicating that the setup is complete. When this notification is displayed, the emotion engine analyzes the user's facial expressions and voice to recognize their reaction. This allows the system to analyze the user's emotions regarding the notification content.

[0510] Step 6:

[0511] Once a user's emotions are analyzed, this information is collected as feedback and used to improve future notifications. For example, if the user's response is negative, the system will adjust to provide a clearer notification message next time.

[0512] Step 7:

[0513] The server collects logs and sentiment data sent from terminals and analyzes them for system-wide security audits and efficiency improvements. This analysis optimizes the system's deployment and continuously improves the user experience.

[0514] (Example 2)

[0515] 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."

[0516] In today's information technology environment, there is a demand for efficient automation of configuration and improved user experience. Furthermore, preventing errors and configuration mistakes during the configuration process is crucial. However, conventional systems have struggled to achieve both simultaneously. Specifically, the complexity of configuration procedures made them prone to human error, and feedback that considered the emotional reactions of users was insufficient.

[0517] 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.

[0518] In this invention, the server includes means for an information processing system to generate a configuration instruction sheet and provide it to a computing device via a communication network; means for the computing device to perform automatic adjustments based on the provided configuration instruction sheet and record the results as recorded information; and means for emotion detection means installed in the computing device to analyze the user's reaction and adjust the next notification and its content. This enables more efficient and personalized system operation through automated settings and feedback based on the user's emotions.

[0519] An "information processing system" refers to a device or method for generating, processing, and managing data, and has the function of providing information to other devices via a communication network.

[0520] A "configuration instruction sheet" is a document or data file generated by an information processing system that describes the detailed procedures for configuring a computing device.

[0521] "Communication network" refers to the network infrastructure used for sending and receiving data between information processing systems and computing devices, and includes wired or wireless transmission lines.

[0522] A "computing device" refers to a machine or device used for various calculations and information processing, and has the function of performing automatic adjustments based on the provided configuration instructions.

[0523] "Recorded information" refers to data used by a computing device to record the results of setting operations, and includes details such as whether the operation was successful or not, error messages, and the time of execution.

[0524] "Emotion detection means" refers to a technology or device that analyzes the user's emotions from their facial expressions, voice, etc., and adjusts the next notification and its content based on the user's response.

[0525] "User" refers to an individual or group that operates an information processing system or computing device and benefits from adjustments made in accordance with the configuration instructions.

[0526] This invention aims to automate setup procedures and improve the user experience by combining an information processing system, a computing device, and a technology for analyzing user emotions. The information processing system uses a generative AI model to generate setup instructions based on the company's security policies and business requirements. This generation uses prompts such as, for example, "Please create specific procedures for the company-wide deployment of new software."

[0527] The server distributes the generated configuration instructions to each computing device via the communication network. Each computing device then analyzes the received configuration instructions and automatically executes the configuration operations. In this process, specific software such as the operating system's built-in scripting language or third-party automation tools are used. Examples include the installation and configuration of security software.

[0528] Once the setup is complete, the computing device saves the results as recorded information and notifies the user. This notification can be delivered in various forms, such as a pop-up message on the screen or by email.

[0529] The user's device is equipped with emotion detection technology that analyzes the user's emotions based on their facial expressions and voice when receiving notifications. The emotion analysis engine analyzes data recorded using the camera and microphone, and if the user shows a positive reaction, it saves the content of the next notification; if a negative reaction is detected, it improves the notification method and content. This feedback mechanism provides a personalized experience based on the user's reactions.

[0530] This makes it possible to streamline the setup process while simultaneously increasing user satisfaction.

[0531] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0532] Step 1:

[0533] The server uses a generative AI model based on the company's security policies and business requirements to generate configuration instructions. The input is the prompt "Create specific procedures for the company-wide rollout of new software." The generative AI model analyzes this prompt and outputs configuration instructions that include standardized installation procedures and security settings within the company.

[0534] Step 2:

[0535] The server distributes the generated configuration instructions to each terminal via the communication network. The input is the configuration instructions generated in step 1, which the server sends using an appropriate transmission protocol (e.g., HTTPS). The output is that the terminal receives the instructions.

[0536] Step 3:

[0537] The terminal analyzes the configuration instructions received from the server. The input is the received configuration instructions. In the analysis process, the terminal uses scripting languages ​​and automation tools to identify actions based on the instructions. For example, it prepares commands for installing specific software or changing security settings.

[0538] Step 4:

[0539] The terminal automatically performs configuration operations based on the configuration instructions. The input is the analysis result from step 3. The terminal sequentially executes the specified commands to install applications and apply security settings. The output is a log recording the results of each operation.

[0540] Step 5:

[0541] After the configuration process is complete, the terminal records the results as a detailed log and notifies the user. The input is the log information generated in step 4. The terminal formats this log and notifies the user that the configuration is complete. The notification is sent via a screen pop-up or email.

[0542] Step 6:

[0543] The emotion detection mechanism on the user's device analyzes the user's facial expressions and voice when they receive a notification. The input is the user's camera image and microphone audio data. The emotion engine analyzes this data and outputs the emotion the user expressed. For example, if a smile is detected, it is recorded as a positive response, and if a confused expression is detected, it is recorded as a signal for improvement.

[0544] Step 7:

[0545] The server implements measures to adjust the content and method of the next notification based on the collected sentiment data. The input is the sentiment data obtained in step 6. The server analyzes this data and, for example, if there are many negative responses, prepares a notification that includes a more detailed explanation. The output is the customized method of the next notification to the user.

[0546] (Application Example 2)

[0547] 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."

[0548] In modern information systems, user-facing configuration operations and security measures are becoming increasingly complex, leading to significant user burdens. Furthermore, user emotions and understanding are often not considered during configuration, potentially resulting in insufficient acceptance of settings or responses to notifications. Therefore, there is a growing need for efficient and user-centric configuration management systems.

[0549] 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.

[0550] In this invention, the server includes means for an information processing device to generate a setup procedure and provide it to a terminal device via a network, means for the terminal device to perform automatic setup based on the provided setup procedure and record the results, and means for the terminal device to analyze the user's emotions at the time of notification using an emotion recognition engine. This enables flexible adjustment of notification content according to the user's emotions, and further improves setting management efficiency and user experience.

[0551] An "information processing device" is a central management system for receiving, processing, and transmitting data, and is a device that generates configuration manuals and collects and analyzes data logs.

[0552] A "terminal device" is a device that is directly operated by the user, performs automatic configuration based on the provided setup procedure, and performs emotion recognition.

[0553] A "configuration procedure" is a set of instructions necessary to perform a specific operation, and is generated by an information processing device.

[0554] "Automatic configuration" refers to the process by which a terminal device changes the system configuration without requiring manual operation by the user, following the provided configuration procedure.

[0555] A "data log" is data that records the results of setting execution and system events, and is used for later analysis.

[0556] An "emotion recognition engine" is a system or software that analyzes a user's facial expressions and voice data to determine their emotional state.

[0557] "Adjusting notification content" is a process that aims to improve the user experience by optimizing the method and content of notifications based on user sentiment data.

[0558] The system for realizing this invention consists of an information processing device (server) and a terminal device. The server generates a configuration procedure based on the company's policies and transmits it to the terminal device via the network. The terminal device receives this configuration procedure, performs automatic configuration, and records the results as a data log. The terminal analyzes the user's emotions using an emotion recognition engine and adjusts the notification content based on the obtained information. This process can utilize APIs such as "Microsoft Azure Emotion API" for emotion recognition.

[0559] As a concrete example, consider a case where a company implements new security measures. The server generates configuration instructions for the new security software and distributes them to each terminal device. The terminal devices automatically install the software according to these instructions and record the progress and completion status as data logs. Upon completion of the configuration, the user's facial expressions and voice are analyzed by an emotion recognition engine, and if the user appears confused, a notification with a more detailed explanation is provided.

[0560] By utilizing a generative AI model, it's possible to obtain the expected output by giving a specific prompt, such as, "Tell me how to read the user's emotions from their facial expressions and optimize the content of smartphone notifications." This enables personalized notifications that respond to the user's emotions.

[0561] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0562] Step 1:

[0563] The server generates configuration procedures based on the company's security policies. It receives the company's security requirements and related data as input, retrieves or creates new procedure documents from the database based on this information, and outputs the generated configuration procedure documents. These documents are then used for subsequent automated configuration.

[0564] Step 2:

[0565] The server distributes the generated configuration instructions to the terminal device via the network. Using the generated instructions and network information as input, it completes the distribution of the instructions to the terminal device as output. This prepares the terminal device to receive the document.

[0566] Step 3:

[0567] The terminal device initiates automatic configuration based on the received configuration instructions. As input, it reads the received instructions and performs data processing to analyze their contents. As output, it records the configuration execution results and generates a data log. This log will be used for future analysis.

[0568] Step 4:

[0569] The terminal device uses an emotion recognition engine to analyze the user's facial expressions and voice data after setup is complete. It receives sensor data from the camera and microphone as input, and uses a generative AI model to identify emotions and obtain output. The output contains information about the user's emotional state.

[0570] Step 5:

[0571] The terminal device adjusts the content of the next notification based on the analyzed emotion information. It takes the emotion recognition results as input and processes them to determine the optimal notification method and content. As output, an adjusted notification profile is created. This provides more personalized notifications.

[0572] Step 6:

[0573] Users receive tailored notifications and review information about their settings and their results. Feedback is generated by receiving notifications sent from the device as input and understanding their content. This feedback is used to further optimize the system.

[0574] 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.

[0575] 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.

[0576] 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.

[0577] [Fourth Embodiment]

[0578] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0579] 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.

[0580] 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).

[0581] 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.

[0582] 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.

[0583] 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).

[0584] 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.

[0585] 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.

[0586] 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.

[0587] 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.

[0588] 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.

[0589] 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.

[0590] 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".

[0591] In this invention, the information processing device is programmed to generate configuration procedures based on security policies and application requirements, and to distribute them to terminal devices. Specifically, the information processing device creates detailed procedure manuals based on the information and conditions necessary for configuration. These manuals include instructions regarding security software settings and network configuration. The information processing device transmits these procedures to terminal devices via the network.

[0592] The terminal device analyzes the configuration instructions received from the information processing device. Furthermore, it is programmed to automatically perform necessary configuration operations based on the analysis results. For example, based on the configuration instructions, it may install virus scanning software and download the latest database. In the case of network settings, it may configure the proxy server address and port number and adjust access permissions for various applications.

[0593] Once the configuration is complete, the terminal device records the results as a detailed log and sends a system status notification to the user. This notification includes details of successful configurations and any errors. Furthermore, if necessary, the log information can be collected and analyzed later by an information processing device for use in security audits and problem resolution.

[0594] As a concrete example, consider the initial setup of PCs in a corporate environment. The server generates the necessary security updates and application installation procedures for each PC and distributes them to the PC's terminal device. The terminal device automatically performs the updates and configures the various applications. After completion, the user is notified that the configuration has been successfully completed, and at the same time, logs are sent to the server and stored for security audits.

[0595] Thus, using this system speeds up the setup process and significantly reduces human error. This is expected to improve overall operational efficiency and reduce security risks within the company.

[0596] The following describes the processing flow.

[0597] Step 1:

[0598] The server generates configuration instructions based on the company's security policies and operational requirements. These instructions include specific procedures for software installation, security settings, and network configuration. The generated instructions are stored until they are ready for distribution to each terminal device.

[0599] Step 2:

[0600] The server transmits the prepared configuration instructions to the target terminal device via the network. This efficient distribution is carried out using file formats and protocols compatible with each terminal device.

[0601] Step 3:

[0602] The terminal receives the configuration instructions from the server as a URI or file path and parses their contents. This parsing prepares the device for performing the configuration operations in the correct order, while also downloading necessary files and verifying conditions.

[0603] Step 4:

[0604] The device automates configuration operations that would normally be performed manually, based on the analysis results. Specifically, it automatically installs specified applications, configures security software, and sets up Wi-Fi. If an error occurs during the process, it performs appropriate error handling and manages the interruption or retries of the operation.

[0605] Step 5:

[0606] The device logs the results of the automated configuration process. This log includes details of successful and failed operations, as well as any errors that occurred, and is used for future audits and troubleshooting.

[0607] Step 6:

[0608] The device notifies the user of the completion status of the setup. The notification is sent via a pop-up message or email, allowing the user to verify their settings and perform additional actions as needed.

[0609] Step 7:

[0610] The server uses log data collected from terminals to analyze compliance with security policies and identify any problems. This allows administrators to understand the overall security status of the system and identify necessary improvements.

[0611] (Example 1)

[0612] 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".

[0613] Configuring numerous terminal devices within a company or organization manually is a laborious task prone to errors. Furthermore, maintaining consistency and accuracy in configurations is crucial to prevent security vulnerabilities from being exploited. Therefore, there is a need for efficient and automated solutions to configure each terminal, reducing operational errors and security risks.

[0614] 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.

[0615] In this invention, the server includes means for generating configuration procedures based on prompt statements using a generative model, means for providing the configuration procedures to a terminal device via a network using a secure communication protocol, and means for collecting and analyzing recorded logs for use in security audits. This makes it possible for the terminal device to analyze the received procedures, automatically perform appropriate settings, prevent configuration errors, and improve security.

[0616] An "information processing device" is a device that uses a generative model to create configuration procedures and provides them to terminal devices via a network.

[0617] A "terminal device" is a device that receives setting instructions provided by an information processing device, analyzes them, and automatically performs the settings based on the instructions.

[0618] A "generative model" is an algorithm or system used to automatically generate configuration steps based on prompt statements.

[0619] A "prompt statement" is a text input that describes the instructions given when generating a configuration procedure for a generative model.

[0620] A "secure communication protocol" is a set of communication rules used to protect the confidentiality and integrity of information during data transfer over a network.

[0621] A "log" is data that records in detail the results and process of automatic configuration performed by a terminal device.

[0622] A "security audit" is the process of verifying whether information systems comply with security policies and standards, and identifying areas for improvement.

[0623] To implement this invention, a server acting as an information processing device and terminal devices that receive and execute configuration procedures are required. The server analyzes prompt messages using a generative AI model and automatically generates configuration procedures suitable for each terminal device. Because the generative AI model utilizes machine learning algorithms, it can dynamically create the optimal procedure based on the security policies and application requirements of the operating environment.

[0624] The server also distributes the generated configuration instructions to terminal devices over the network using secure communication protocols, such as SSH or TLS. Encryption techniques are used during this process to protect the confidentiality and integrity of the information. The terminal device receives these instructions and interprets them using its built-in parsing algorithm.

[0625] The terminal device automatically installs necessary software and configures the network and applications appropriately based on the interpreted procedures. This process includes installing antivirus software and updating the database to the latest version. Success and failure statuses are recorded in a log.

[0626] The recorded logs are periodically sent to the server for security audits. The server analyzes them to verify that the system is operating in accordance with security policies. Users receive notifications from their terminal devices when the configuration is complete and can verify the correctness of the configuration and whether there are any problems.

[0627] For example, when a company distributes new computers to its employees, the server prompts an AI model to "generate all necessary security updates and application setup instructions for the new employee PCs." This procedure significantly streamlines the setup process for multiple PCs, reduces human error, and ultimately improves overall security.

[0628] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0629] Step 1:

[0630] The server prepares the prompt. The user provides the server with a prompt statement to input into the generated AI model. This prompt statement contains the requirements that form the basis for generating the configuration procedure. The server receives the prompt statement and prepares to input it into the generated AI model and perform the analysis.

[0631] Step 2:

[0632] The server generates configuration instructions based on prompts. The generation AI model analyzes the input prompts and automatically generates detailed configuration instructions to be applied to each terminal device. The generation AI model performs data processing and condition evaluation based on the prompts and outputs them as specific procedure manuals. The output includes instructions for configuring security software and installing applications.

[0633] Step 3:

[0634] The server distributes the generated configuration instructions. The server sends the generated instructions to terminal devices using a secure communication protocol. The input is the generated instructions, and the output reaches each terminal device through the transmission process. The server protects the confidentiality of the information using encryption technology during transmission.

[0635] Step 4:

[0636] The terminal receives and analyzes the setup procedure. The terminal device takes the procedure document received from the server as input and interprets the procedure using its built-in analysis algorithm. After analysis, it outputs a list of necessary operations and prepares for automatic configuration based on that list. Specifically, this includes which software to install and which network settings to apply.

[0637] Step 5:

[0638] The terminal performs automatic configuration. The terminal device automatically installs necessary software and configures network settings according to the analysis results. The input is a list of analyzed operations, and the output is the execution results. Specific actions include installing antivirus software and changing proxy settings.

[0639] Step 6:

[0640] The terminal records and notifies the user of the completion of the setup. The terminal device records the results of the automatic setup as a log and notifies the user of the results. The input is the result of the setup execution, and the output is the generation of a log file and the sending of a notification to the user detailing the success or error.

[0641] Step 7:

[0642] The server collects and analyzes logs. The server receives logs sent from terminals as input and analyzes them for security audits. Based on the analysis results, data is output to identify operational improvements and prevent configuration errors. This process improves the overall security and efficiency of the system.

[0643] (Application Example 1)

[0644] 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".

[0645] Modern information devices are exposed to a variety of security threats, requiring specialized knowledge to address them. Furthermore, users often have limited time and resources to deal with these issues. Manual configuration errors also increase security risks. There is a need for an efficient and automated security management system to solve these problems.

[0646] 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.

[0647] This invention includes a server that generates a configuration procedure and provides it to a device via a communication network, a device that performs automatic configuration based on the provided configuration procedure and retains the results as a record, and an information processing device that collects and analyzes the recorded logs. This enables the automation of security settings and the efficiency of risk management.

[0648] An "information processing device" is a device that generates, transmits, receives, and analyzes data, and is responsible for generating and providing configuration procedures to devices.

[0649] A "communication network" refers to the entire network infrastructure used to transmit data between information processing devices and other devices.

[0650] A "device" refers to a terminal device that receives configuration instructions from an information processing device, performs automatic configuration, and records the results.

[0651] "Security software" is a general term for programs that run on a device to prevent damage from unauthorized access and viruses.

[0652] "Protection auditing" is an analytical method that evaluates the security status based on logs collected by information processing devices to prevent misconfigurations and potential vulnerabilities.

[0653] "To retain as a record" means to save the settings performed on the device and their results as data, making them available for later analysis and review.

[0654] The system that realizes this invention consists of the interaction of a server, a device, and a user. The details are described below.

[0655] The server functions as the primary information processing unit, generating configuration instructions for each device. These instructions include detailed guidance based on security policies and application requirements. The generated configuration instructions are then distributed to the devices via the communication network.

[0656] The device receives configuration instructions from the server, analyzes them, and automatically executes the configuration as needed. In particular, the installation and updating of security software and the adjustment of network settings are automated. This allows users to easily use the device safely and appropriately.

[0657] Furthermore, the device retains records of the settings performed and saves them as logs. The user is then notified of the settings results and the device's security status. This allows the user to always be aware of the status of their device.

[0658] The server collects and analyzes logs sent from devices. This analysis enables protective audits to improve the overall security of the system. This allows for proactive prevention of misconfigurations and potential risks.

[0659] As a concrete example, when a user connects to a public network while traveling, their device may automatically configure a virtual private network (VPN). In this case, the user automatically receives a notification stating, "VPN has been configured because you have connected to public Wi-Fi." This specific procedure is often configured in the format shown in the following example prompt message.

[0660] Example prompt: "Your smartphone requires updating the definition files of the newly installed antivirus software and automatic VPN setup. Please generate the setup instructions and apply them automatically."

[0661] This invention significantly reduces user effort and risk by highly automating security settings and management.

[0662] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0663] Step 1:

[0664] The server receives requests from the device regarding the necessary configurations. It uses device attribute information and security policies as input. It analyzes this data and performs data calculations to generate appropriate configuration instructions. The output is a set of specific configuration instructions.

[0665] Step 2:

[0666] The server sends the generated configuration instructions to the device via the communication network. At this stage, the input is the generated configuration instructions, and the output is the result of the transmission to the device. The device confirms receipt and prepares for the next automated configuration step.

[0667] Step 3:

[0668] The device analyzes the configuration instructions received from the server. The input is the configuration instructions from the server. This analysis determines the specific configuration actions to be performed. The output is a list of the specific configuration actions that will be executed.

[0669] Step 4:

[0670] The device automatically installs and updates security software. The input is an action list based on the analysis results. Data processing includes downloading and updating necessary programs. The output is the update to the latest version of the security software.

[0671] Step 5:

[0672] The device automatically adjusts network settings and optimizes them according to the communication network environment. Inputs include the current network status and connection requests. The output is a properly configured communication network status, preventing unauthorized access.

[0673] Step 6:

[0674] The device logs the results after all configuration steps are complete. The input for this log is the result of each configuration step. Data processing includes organizing and saving the log data. The output is detailed log data.

[0675] Step 7:

[0676] The user receives a notification from the device. The notification includes confirmation that the setup is complete and details thereof. The input is an excerpt from the generated log, and the output is an informational notification to the user.

[0677] Step 8:

[0678] The server collects logs from devices over the network and analyzes them. The input is log data collected from devices, and the output is a security audit report. This allows for an assessment of the overall security situation and the detection of potential risks.

[0679] 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.

[0680] This invention aims to automate the execution of setup procedures and improve the user experience by combining an information processing device, a terminal device, and an emotion engine that recognizes user emotions. The information processing device generates a setup procedure document based on the company's security policy and business requirements. The generated setup procedure document is distributed to each terminal device via the network.

[0681] The terminal device analyzes the configuration instructions received from the server and automatically performs the configuration operations as instructed. This includes application installation and security settings. After the configuration is complete, the terminal records the results in a detailed log and notifies the user.

[0682] Furthermore, the user's device is equipped with an emotion engine that recognizes their emotions based on their actions, facial expressions, and voice data when receiving notifications. The recognized emotions are then used to adjust subsequent notification methods and content. For example, if a user expresses dissatisfaction with a setting, the next notification can provide a more detailed explanation or offer a different notification method.

[0683] As a concrete example, consider a scenario where a company's IT department is simultaneously deploying new security software to the entire department. A server generates a configuration manual containing all the necessary steps for deploying this new software and distributes it to each employee's terminal. The terminal automatically installs the software based on this manual and logs its completion status. When the completion notification appears on the user's device, if the user smiles, the emotion engine records that positive reaction. Conversely, if a confused expression is detected, improvements to the notification content will be considered in subsequent processes.

[0684] Thus, this system not only streamlines the automated setup process but also enables a more personalized user experience by monitoring user responses and providing feedback. As a result, it achieves both increased efficiency in setup and improved end-user satisfaction.

[0685] The following describes the processing flow.

[0686] Step 1:

[0687] The server generates configuration manuals, including software installation and network configuration procedures, based on the company's security policies and business requirements. These manuals are consistently applied to each terminal device.

[0688] Step 2:

[0689] The server sends the generated configuration instructions to the terminal devices over the network. This transmission is implemented using a secure protocol to ensure the safe delivery of the instructions to each terminal.

[0690] Step 3:

[0691] The terminal interprets the configuration instructions received from the server and automatically performs the necessary system settings. For example, it can download and install specific security software without user intervention.

[0692] Step 4:

[0693] Once the configuration process is complete, the terminal records all operations in a detailed log. This log includes the success or failure of each step performed, as well as any error codes.

[0694] Step 5:

[0695] The device displays a notification to the user indicating that the setup is complete. When this notification is displayed, the emotion engine analyzes the user's facial expressions and voice to recognize their reaction. This allows the system to analyze the user's emotions regarding the notification content.

[0696] Step 6:

[0697] Once a user's emotions are analyzed, this information is collected as feedback and used to improve future notifications. For example, if the user's response is negative, the system will adjust to provide a clearer notification message next time.

[0698] Step 7:

[0699] The server collects logs and sentiment data sent from terminals and analyzes them for system-wide security audits and efficiency improvements. This analysis optimizes the system's deployment and continuously improves the user experience.

[0700] (Example 2)

[0701] 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".

[0702] In today's information technology environment, there is a demand for efficient automation of configuration and improved user experience. Furthermore, preventing errors and configuration mistakes during the configuration process is crucial. However, conventional systems have struggled to achieve both simultaneously. Specifically, the complexity of configuration procedures made them prone to human error, and feedback that considered the emotional reactions of users was insufficient.

[0703] 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.

[0704] In this invention, the server includes means for an information processing system to generate a configuration instruction sheet and provide it to a computing device via a communication network; means for the computing device to perform automatic adjustments based on the provided configuration instruction sheet and record the results as recorded information; and means for emotion detection means installed in the computing device to analyze the user's reaction and adjust the next notification and its content. This enables more efficient and personalized system operation through automated settings and feedback based on the user's emotions.

[0705] An "information processing system" refers to a device or method for generating, processing, and managing data, and has the function of providing information to other devices via a communication network.

[0706] A "configuration instruction sheet" is a document or data file generated by an information processing system that describes the detailed procedures for configuring a computing device.

[0707] "Communication network" refers to the network infrastructure used for sending and receiving data between information processing systems and computing devices, and includes wired or wireless transmission lines.

[0708] A "computing device" refers to a machine or device used for various calculations and information processing, and has the function of performing automatic adjustments based on the provided configuration instructions.

[0709] "Recorded information" refers to data used by a computing device to record the results of setting operations, and includes details such as whether the operation was successful or not, error messages, and the time of execution.

[0710] "Emotion detection means" refers to a technology or device that analyzes the user's emotions from their facial expressions, voice, etc., and adjusts the next notification and its content based on the user's response.

[0711] "User" refers to an individual or group that operates an information processing system or computing device and benefits from adjustments made in accordance with the configuration instructions.

[0712] This invention aims to automate setup procedures and improve the user experience by combining an information processing system, a computing device, and a technology for analyzing user emotions. The information processing system uses a generative AI model to generate setup instructions based on the company's security policies and business requirements. This generation uses prompts such as, for example, "Please create specific procedures for the company-wide deployment of new software."

[0713] The server distributes the generated configuration instructions to each computing device via the communication network. Each computing device then analyzes the received configuration instructions and automatically executes the configuration operations. In this process, specific software such as the operating system's built-in scripting language or third-party automation tools are used. Examples include the installation and configuration of security software.

[0714] Once the setup is complete, the computing device saves the results as recorded information and notifies the user. This notification can be delivered in various forms, such as a pop-up message on the screen or by email.

[0715] The user's device is equipped with emotion detection technology that analyzes the user's emotions based on their facial expressions and voice when receiving notifications. The emotion analysis engine analyzes data recorded using the camera and microphone, and if the user shows a positive reaction, it saves the content of the next notification; if a negative reaction is detected, it improves the notification method and content. This feedback mechanism provides a personalized experience based on the user's reactions.

[0716] This makes it possible to streamline the setup process while simultaneously increasing user satisfaction.

[0717] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0718] Step 1:

[0719] The server uses a generative AI model based on the company's security policies and business requirements to generate configuration instructions. The input is the prompt "Create specific procedures for the company-wide rollout of new software." The generative AI model analyzes this prompt and outputs configuration instructions that include standardized installation procedures and security settings within the company.

[0720] Step 2:

[0721] The server distributes the generated configuration instructions to each terminal via the communication network. The input is the configuration instructions generated in step 1, which the server sends using an appropriate transmission protocol (e.g., HTTPS). The output is that the terminal receives the instructions.

[0722] Step 3:

[0723] The terminal analyzes the configuration instructions received from the server. The input is the received configuration instructions. In the analysis process, the terminal uses scripting languages ​​and automation tools to identify actions based on the instructions. For example, it prepares commands for installing specific software or changing security settings.

[0724] Step 4:

[0725] The terminal automatically performs configuration operations based on the configuration instructions. The input is the analysis result from step 3. The terminal sequentially executes the specified commands to install applications and apply security settings. The output is a log recording the results of each operation.

[0726] Step 5:

[0727] After the configuration process is complete, the terminal records the results as a detailed log and notifies the user. The input is the log information generated in step 4. The terminal formats this log and notifies the user that the configuration is complete. The notification is sent via a screen pop-up or email.

[0728] Step 6:

[0729] The emotion detection mechanism on the user's device analyzes the user's facial expressions and voice when they receive a notification. The input is the user's camera image and microphone audio data. The emotion engine analyzes this data and outputs the emotion the user expressed. For example, if a smile is detected, it is recorded as a positive response, and if a confused expression is detected, it is recorded as a signal for improvement.

[0730] Step 7:

[0731] The server implements measures to adjust the content and method of the next notification based on the collected sentiment data. The input is the sentiment data obtained in step 6. The server analyzes this data and, for example, if there are many negative responses, prepares a notification that includes a more detailed explanation. The output is the customized method of the next notification to the user.

[0732] (Application Example 2)

[0733] 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".

[0734] In modern information systems, user-facing configuration operations and security measures are becoming increasingly complex, leading to significant user burdens. Furthermore, user emotions and understanding are often not considered during configuration, potentially resulting in insufficient acceptance of settings or responses to notifications. Therefore, there is a growing need for efficient and user-centric configuration management systems.

[0735] 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.

[0736] In this invention, the server includes means for an information processing device to generate a setup procedure and provide it to a terminal device via a network, means for the terminal device to perform automatic setup based on the provided setup procedure and record the results, and means for the terminal device to analyze the user's emotions at the time of notification using an emotion recognition engine. This enables flexible adjustment of notification content according to the user's emotions, and further improves setting management efficiency and user experience.

[0737] An "information processing device" is a central management system for receiving, processing, and transmitting data, and is a device that generates configuration manuals and collects and analyzes data logs.

[0738] A "terminal device" is a device that is directly operated by the user, performs automatic configuration based on the provided setup procedure, and performs emotion recognition.

[0739] A "configuration procedure" is a set of instructions necessary to perform a specific operation, and is generated by an information processing device.

[0740] "Automatic configuration" refers to the process by which a terminal device changes the system configuration without requiring manual operation by the user, following the provided configuration procedure.

[0741] A "data log" is data that records the results of setting execution and system events, and is used for later analysis.

[0742] An "emotion recognition engine" is a system or software that analyzes a user's facial expressions and voice data to determine their emotional state.

[0743] "Adjusting notification content" is a process that aims to improve the user experience by optimizing the method and content of notifications based on user sentiment data.

[0744] The system for realizing this invention consists of an information processing device (server) and a terminal device. The server generates a configuration procedure based on the company's policies and transmits it to the terminal device via the network. The terminal device receives this configuration procedure, performs automatic configuration, and records the results as a data log. The terminal analyzes the user's emotions using an emotion recognition engine and adjusts the notification content based on the obtained information. This process can utilize APIs such as "Microsoft Azure Emotion API" for emotion recognition.

[0745] As a concrete example, consider a case where a company implements new security measures. The server generates configuration instructions for the new security software and distributes them to each terminal device. The terminal devices automatically install the software according to these instructions and record the progress and completion status as data logs. Upon completion of the configuration, the user's facial expressions and voice are analyzed by an emotion recognition engine, and if the user appears confused, a notification with a more detailed explanation is provided.

[0746] By utilizing a generative AI model, it's possible to obtain the expected output by giving a specific prompt, such as, "Tell me how to read the user's emotions from their facial expressions and optimize the content of smartphone notifications." This enables personalized notifications that respond to the user's emotions.

[0747] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0748] Step 1:

[0749] The server generates configuration procedures based on the company's security policies. It receives the company's security requirements and related data as input, retrieves or creates new procedure documents from the database based on this information, and outputs the generated configuration procedure documents. These documents are then used for subsequent automated configuration.

[0750] Step 2:

[0751] The server distributes the generated configuration instructions to the terminal device via the network. Using the generated instructions and network information as input, it completes the distribution of the instructions to the terminal device as output. This prepares the terminal device to receive the document.

[0752] Step 3:

[0753] The terminal device initiates automatic configuration based on the received configuration instructions. As input, it reads the received instructions and performs data processing to analyze their contents. As output, it records the configuration execution results and generates a data log. This log will be used for future analysis.

[0754] Step 4:

[0755] The terminal device uses an emotion recognition engine to analyze the user's facial expressions and voice data after setup is complete. It receives sensor data from the camera and microphone as input, and uses a generative AI model to identify emotions and obtain output. The output contains information about the user's emotional state.

[0756] Step 5:

[0757] The terminal device adjusts the content of the next notification based on the analyzed emotion information. It takes the emotion recognition results as input and processes them to determine the optimal notification method and content. As output, an adjusted notification profile is created. This provides more personalized notifications.

[0758] Step 6:

[0759] Users receive tailored notifications and review information about their settings and their results. Feedback is generated by receiving notifications sent from the device as input and understanding their content. This feedback is used to further optimize the system.

[0760] 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.

[0761] 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.

[0762] 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.

[0763] 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.

[0764] 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.

[0765] 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.

[0766] 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.

[0767] 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.

[0768] 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."

[0769] 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.

[0770] 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.

[0771] 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.

[0772] 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.

[0773] 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.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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.

[0781] The following is further disclosed regarding the embodiments described above.

[0782] (Claim 1)

[0783] The information processing device generates a configuration procedure and provides it to a terminal device via a network,

[0784] The aforementioned terminal device has means for automatically performing configuration based on the provided configuration procedure and recording the results as a log,

[0785] The terminal device includes means for notifying the user of the recorded results,

[0786] The aforementioned information processing device includes means for collecting and analyzing recorded logs,

[0787] A system that includes this.

[0788] (Claim 2)

[0789] The system according to claim 1, wherein the terminal device includes means for performing a self-diagnosis to confirm the normality of the settings and including the results in a user notification.

[0790] (Claim 3)

[0791] The system according to claim 1, wherein the information processing device includes means for performing a security audit based on collected logs and taking preventive measures against configuration errors.

[0792] "Example 1"

[0793] (Claim 1)

[0794] The information processing device includes means for generating a setting procedure based on a prompt statement using a generation model,

[0795] A means of providing configuration procedures to a terminal device via a network using a secure communication protocol,

[0796] The terminal device includes means for analyzing the provided setup procedure and performing automatic setup based on the analysis results,

[0797] The aforementioned terminal device includes means for recording the results of the automatic configuration as a log and notifying the user of the recorded results,

[0798] The aforementioned information processing device includes means for collecting and analyzing recorded logs and using them for security audits,

[0799] A system that includes this.

[0800] (Claim 2)

[0801] The system according to claim 1, wherein the terminal device has means for self-diagnosing the normality of the settings after analyzing the setting procedure and performing automatic setting, and including the diagnosis result in a user notification.

[0802] (Claim 3)

[0803] The system according to claim 1, wherein the information processing device includes means for detecting configuration errors through analysis of collected logs and generating guidelines for taking preventive measures against configuration errors.

[0804] "Application Example 1"

[0805] (Claim 1)

[0806] The information processing device generates a configuration procedure and provides it to the device via a communication network,

[0807] The aforementioned device includes means for performing automatic configuration based on the provided configuration procedure and retaining the results as a record,

[0808] The device includes means for notifying the user of the recorded results,

[0809] The aforementioned information processing device includes means for collecting and analyzing recorded logs,

[0810] The aforementioned device has a means for automatically installing security software and maintaining its settings,

[0811] The aforementioned device includes means for automatically managing communication network settings and updating protective measures in response to changes in the threat situation,

[0812] A system that includes this.

[0813] (Claim 2)

[0814] The system according to claim 1, wherein the device includes means for performing a self-diagnosis to verify the normality of the settings and including the results in a user notification.

[0815] (Claim 3)

[0816] The system according to claim 1, wherein the information processing device includes means for performing protective audits based on collected logs and taking preventive measures against configuration errors.

[0817] "Example 2 of combining an emotion engine"

[0818] (Claim 1)

[0819] The information processing system provides a means for generating a configuration instruction sheet and providing it to a computing device via a communication network,

[0820] The aforementioned computing device performs automatic adjustments based on the provided setting instructions and records the results as recorded information.

[0821] The aforementioned computing device includes means for notifying the user of the recorded results,

[0822] The aforementioned information processing system includes means for collecting and analyzing recorded information,

[0823] The emotion detection means mounted on the aforementioned computing device analyzes the user's response and adjusts the next notification and its content.

[0824] A system that includes this.

[0825] (Claim 2)

[0826] The system according to claim 1, wherein the computing device includes means for performing a self-diagnosis to confirm the appropriateness of the adjustment and including the result in a notification to the user.

[0827] (Claim 3)

[0828] The system according to claim 1, wherein the information processing system includes means for conducting safety audits based on collected record information and exploring preventive measures for setting errors.

[0829] "Application example 2 when combining with an emotional engine"

[0830] (Claim 1)

[0831] The information processing device generates a configuration procedure and provides it to a terminal device via a network,

[0832] The aforementioned terminal device includes means for performing automatic configuration based on the provided configuration procedure and recording the results,

[0833] The terminal device includes means for notifying the user of the recorded results,

[0834] The aforementioned information processing device includes means for collecting and analyzing recorded data logs,

[0835] The terminal device uses an emotion recognition engine to analyze the user's emotions at the time of notification,

[0836] The aforementioned terminal device includes means for adjusting notification content based on analyzed emotions,

[0837] A system that includes this.

[0838] (Claim 2)

[0839] The system according to claim 1, wherein the terminal device includes means for performing a self-diagnosis to confirm the normality of the settings and including the results in a user notification.

[0840] (Claim 3)

[0841] The system according to claim 1, wherein the information processing device includes means for performing a safety audit based on collected data logs and taking preventive measures against configuration errors. [Explanation of symbols]

[0842] 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. The information processing device generates a configuration procedure and provides it to a terminal device via a network, The aforementioned terminal device has means for automatically performing configuration based on the provided configuration procedure and recording the results as a log, The terminal device includes means for notifying the user of the recorded results, The aforementioned information processing device includes means for collecting and analyzing recorded logs, A system that includes this.

2. The system according to claim 1, wherein the terminal device includes means for performing a self-diagnosis to confirm the normality of the settings and including the results in a user notification.

3. The system according to claim 1, wherein the information processing device includes means for performing a security audit based on collected logs and taking preventive measures against configuration errors.

Images