system

Abstract

We provide the system. [Solution] A means for analyzing user requirements information received from an information processing device and identifying system requirements, A means of selecting and presenting the optimal information processing resources to the user based on identified system requirements, A means of automatically constructing an information processing system using selected information processing resources, A means of monitoring the constructed information processing system and automatically taking countermeasures when an anomaly is detected, A means of analyzing the usage status of information processing systems and providing users with suggestions for improving cost efficiency, 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, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, 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 a conventional information processing system, when a user realizes an idea, a lot of technical expertise regarding the construction and operation of the system is required, resulting in increased construction and operation costs. Also, since a consistent monitoring and problem-solving process is not established, it has been difficult to quickly respond to abnormalities and security threats that occur during the operation of the system. There is a need to solve such problems and provide an environment in which users can safely construct and operate the system.

Means for Solving the Problems

[0005] The present invention solves the above problems by providing means for analyzing user requirements information received from an information processing device and identifying system requirements, means for selecting and presenting optimal information processing resources to the user based on the identified system requirements, means for automatically constructing an information processing system using the selected information processing resources, means for monitoring the constructed information processing system and automatically executing countermeasures when an anomaly is detected, and means for analyzing the usage status of the information processing system and providing the user with suggestions for improving cost efficiency. As a result, users can efficiently use the system without specialized knowledge, and high reliability can be ensured while keeping construction and operation costs down.

[0006] An "information processing device" refers to a series of devices or systems that receive information from a user and perform analysis and calculations based on that information.

[0007] "User requirements information" refers to information about the user's needs and expected functions required when using an information processing system.

[0008] "System requirements" refer to the specific technical specifications and conditions that an information processing system must meet, derived from the user's requirements information.

[0009] "Information processing resources" refers to assets and services such as hardware, software, and networks necessary for building and operating information processing systems.

[0010] "Provisioning" refers to the process of preparing information processing resources and setting them up to be usable.

[0011] A "cloud service provider" refers to a company that provides information processing resources via the internet, enabling users to access them remotely.

[0012] An "application programming interface" refers to a standardized interface for exchanging functions and data between different software programs.

[0013] "Detecting anomalies" refers to identifying unusual behavior or errors that occur within an information processing system.

[0014] "Cost efficiency" refers to the ability to extract the optimal effect or result from the resources and costs invested.

[0015] "Security updates" refer to patches and configuration changes provided to improve the security of information processing systems. [Brief explanation of the drawing]

[0016] [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]Shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0017] 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.

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

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

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

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

[0022] 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).

[0023] 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."

[0024] [First Embodiment]

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

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0031] 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.

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

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] The system, as an embodiment of the present invention, includes a program that receives user requirements information as input, automatically proposes an optimal system configuration based on that information, and then constructs and operates the system. The operation of the system will be described in detail below.

[0038] First, the user inputs project requirements information into the system via a dedicated terminal. This requirements information includes necessary functions, objectives, budget, and performance requirements. Based on this information, the server uses natural language processing to analyze the requirements information and extract specific system requirements.

[0039] Next, the server uses an AI algorithm to select the optimal information processing resources based on the extracted system requirements. This selection process takes into account the efficiency, cost, and reliability of the existing resources. Subsequently, the server presents the user with a proposed system configuration that includes the selected information processing resources.

[0040] Once the user approves the proposed configuration, the server automatically provisions the necessary information processing resources using the cloud service provider's application programming interface. This allows the terminal to set up the system in a remote environment. The server automatically performs all the steps necessary to build the system, including operating system configuration, security patch application, and application installation.

[0041] Furthermore, the server constantly monitors the built system and automatically takes countermeasures if it detects abnormal behavior. This ensures that the system operates stably while maintaining high availability. In terms of security management, the server regularly applies security updates to strengthen defenses against unknown threats.

[0042] Ultimately, the server analyzes system usage and provides users with suggestions aimed at improving cost efficiency. These suggestions may include scaling resources, reducing unnecessary services, and proposing more efficient operational strategies.

[0043] As a concrete example, consider a case where a user launches a new web application. In this case, the user inputs information such as the required server performance, expected number of accesses, and data storage format. Based on this information, the server selects the optimal cloud resources, applies the necessary settings, and automatically builds the application. As a result, the user can quickly make the web application available online without understanding the technical details of the system.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] Users enter project requirements information via a dedicated terminal. This information includes functional requirements, budget, and expected traffic volume.

[0047] Step 2:

[0048] The server receives requirements information entered by the user. The server uses natural language processing to analyze the information and extract specific system requirements.

[0049] Step 3:

[0050] Based on the extracted system requirements, the server uses an AI algorithm to identify the optimal information processing resources. In this process, the server makes selections considering cost, resource utilization efficiency, and reliability.

[0051] Step 4:

[0052] The server presents the selected information processing resources and their proposed configuration to the user. The user reviews and approves the presented configuration to proceed to the next process.

[0053] Step 5:

[0054] Once the user approves the configuration, the server automatically provisions the selected data processing resources using the cloud service provider's API.

[0055] Step 6:

[0056] The server automatically performs the necessary system configurations for the provisioned resources. This includes installing the operating system, applying security settings, and installing applications.

[0057] Step 7:

[0058] The server constantly monitors the system that has been built. If an anomaly occurs in the system, the server analyzes the logs and automatically takes corrective action.

[0059] Step 8:

[0060] The server collects usage data from the running information processing system, generates suggestions to improve cost efficiency, and provides them to the user. These suggestions include resource optimization and waste reduction measures.

[0061] (Example 1)

[0062] 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."

[0063] The design and management of modern information processing systems are becoming increasingly complex, posing a challenge for users who cannot efficiently build and operate systems without understanding these technical details. In particular, there is a need to centralize and automate a wide range of processes, including requirements analysis, optimal resource selection, automated system construction and monitoring, and improvement of operational efficiency. Furthermore, insufficient security management and efficient operational cost management remain significant challenges.

[0064] 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.

[0065] In this invention, the server includes means for processing user request information obtained via a user terminal and deriving system requirements; means for selecting and presenting optimal information processing resources to the user based on the derived system requirements; and means for automatically assembling an information processing system using the selected information processing resources. As a result, users can quickly and efficiently build an information processing system without understanding technical details, and continue to operate it with high security and low cost.

[0066] A "user terminal" is an electronic device used by users to input requested information and is a device that enables the exchange of information with a server.

[0067] "Request information" refers to information that includes the requirements and conditions necessary for the user to build and operate the system, and is the data that the server uses for analysis.

[0068] "System requirements" are specific technical specifications and necessary conditions derived from the requirements information, and are elements that serve as criteria for selecting the optimal information processing resources.

[0069] "Information processing resources" refer to a collection of computing power, memory devices, communication equipment, and other elements necessary for an information system to function as a resource.

[0070] A "server" is a central computing device that performs tasks such as analyzing request information, selecting resources for information processing, and building and monitoring the system.

[0071] "Provisioning" refers to a series of procedures for properly preparing and arranging information processing resources and getting a system up and running.

[0072] A "cloud service provider" is a business entity that provides information processing resources via the internet and provides application program interfaces for using those services.

[0073] An "Application Programming Interface" is a communication interface provided by a cloud service provider, and it is a set of rules that allows external systems and applications to manage cloud resources programmatically.

[0074] "Defensive update measures" refer to software updates and fixes that are regularly implemented to address security threats in information processing systems.

[0075] To implement this invention, a server, terminals, and cloud services are primarily used. The server functions as the central hub for information processing, deriving system requirements based on request information received from user terminals. The request information includes the necessary system functions, performance requirements, and financial constraints. The server analyzes the request information using natural language processing technology. This technology utilizes, for example, natural language processing libraries and machine learning frameworks (e.g., TENSORFLOW®).

[0076] Information entered by the user via their device is sent to a server via the internet for processing. Based on the analyzed information, the most suitable resources for information processing are selected. This selection is automated by an AI algorithm, optimizing budget and performance. The selected resources are provisioned via the cloud service provider's application programming interface (API), securing specific computing resources.

[0077] The server installs the necessary operating systems and software on the secured cloud resources and applies the latest security patches. This builds the information processing system. The system is monitored by the server, and anomaly detection and defensive update measures are automatically performed.

[0078] As a concrete example, consider a case where a user launches a new web service using a device. The user inputs "server performance based on demand, estimated number of accesses, and data storage format" on the device. Based on this, the server selects the optimal resources and secures the necessary computing resources via a cloud service. The system is then automatically built, and the new service is launched quickly without relying on the user's technical knowledge.

[0079] Example prompt: "I want to launch a new web service. Please enter the required server specifications, estimated number of accesses, and data storage format."

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] User input of project requirements

[0083] Users use a dedicated terminal to input project requirements information into the system. Specific inputs include required server performance, expected access volume, and data storage method. This information is then transmitted to the server via the terminal.

[0084] Step 2:

[0085] Analysis of requirements information

[0086] The server receives requirements information sent from the terminal. Natural language processing tools are used to analyze the input text data, extracting keywords and contextual information. As a result of this data processing, structured data regarding system requirements is generated.

[0087] Step 3:

[0088] Resource selection and proposal creation

[0089] Based on the system requirements obtained from the analysis, the server uses an AI algorithm to select the optimal information processing resources. Here, the optimal configuration is determined from the available resources based on the required performance and cost constraints. As output, a proposed system configuration is generated to be presented to the user.

[0090] Step 4:

[0091] Presentation and approval of the proposed structure.

[0092] The server sends the generated system configuration proposal to the user's terminal and presents it to the user. The user reviews the presented configuration proposal and requests approval or modification as needed. The user's approval is sent to the server as input.

[0093] Step 5:

[0094] Resource provisioning

[0095] After obtaining user approval, the server automatically provisions the necessary information processing resources using the cloud service provider's application program interface. Resource allocation and configuration are then performed, resulting in a fully operational computing environment.

[0096] Step 6:

[0097] System Construction

[0098] The server installs the necessary operating systems and applications on the provisioned resources. Furthermore, security patches are applied and network settings are adjusted automatically. This completes a fully configured information processing system.

[0099] Step 7:

[0100] System monitoring and maintenance

[0101] The server continuously monitors the running system. Monitoring tools are used to detect abnormal traffic and malfunctions, and when an anomaly is detected, automatic corrective actions are taken. Regular security updates are also applied, ensuring stable system operation.

[0102] (Application Example 1)

[0103] 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."

[0104] With the widespread adoption of cloud services, there is a growing need for optimal selection of diverse digital resources, rapid system construction, and early detection and automated countermeasures for operational anomalies. Furthermore, utilizing mobile devices to monitor and approve these processes in real time is a key challenge in improving operational efficiency and reducing operating costs.

[0105] 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.

[0106] In this invention, the server includes means for analyzing user requirements information to identify operational requirements, means for selecting the optimal digital resources based on the identified operational requirements, and means for checking resource selection and construction status in real time using a mobile terminal. This enables users to select the optimal digital resources and efficiently build and operate the system.

[0107] An "information processing device" is an electronic device that inputs, processes, and outputs data, and provides information according to the user's requests.

[0108] "Requirements information" refers to information that summarizes the performance, functions, and constraints that users expect from a system.

[0109] "Operational requirements" refer to the conditions and performance indicators necessary for the operation of an information system, and are factors that influence the selection of digital resources.

[0110] "Digital resources" refer to electronic resources such as computing power, storage, and applications provided on the cloud or network.

[0111] "Provisioning" refers to the process of preparing and deploying the necessary resources for use within a system.

[0112] A "system" is a set of mechanisms constructed by combining multiple functions and components to perform a specific task.

[0113] An "abnormality" in an information processing system refers to a state that deviates from the normal operating conditions or the occurrence of unexpected behavior.

[0114] "Automatically executing countermeasures" refers to taking swift action to resolve a problem based on pre-configured methods, without human intervention, when an anomaly occurs.

[0115] A "mobile device" refers to a portable electronic device such as a mobile phone or tablet that functions by connecting to a network.

[0116] "Real-time" means responding to or processing ongoing events immediately without delay.

[0117] As a form of implementing the invention, this invention provides a system for selecting the optimal digital resources based on user requirements and quickly building a system. The server receives requirement information from the user, analyzes it using natural language processing, and identifies operational requirements. Based on this, it selects the optimal digital resources using an AI algorithm. The selected digital resources are confirmed and approved in real time via a mobile terminal.

[0118] The server automatically provisions information processing resources using the network service provider's API. This process leverages cloud service interfaces such as DigitalOcean and AWS® to enable rapid resource deployment. The system is also constantly monitored, and if an anomaly is detected, pre-configured automatic countermeasures are quickly executed. This ensures system stability and high availability. Furthermore, the server analyzes operational cost efficiency and performance and provides users with suggestions for improving efficiency.

[0119] As a concrete example, when a user launches a web service for a new business, they input the necessary server performance and data storage requirements from a mobile device. Based on this information, the optimal virtual machine and database service are automatically selected and quickly deployed. As a result, users can efficiently operate the system even without technical knowledge.

[0120] The following is an example of a prompt statement.

[0121] User: Can you suggest the best cloud resources for my business?

[0122] System: Of course. Please tell us the required computing power, budget limit, and preferred data center location.

[0123] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0124] Step 1:

[0125] The user enters requirements information using a mobile device. This data includes information about the system's required performance, budget, and preferred location. This information is sent to the server and used in the next step.

[0126] Step 2:

[0127] The server analyzes the received requirements information using a natural language processing engine to identify specific operational requirements. Here, performance requirements and resource constraints are extracted and structured as data from the input information. This extracted data is then used in subsequent resource selection.

[0128] Step 3:

[0129] The server selects the optimal digital resources based on operational requirements identified using an AI algorithm. The AI ​​algorithm takes historical data and market trends as input and selects appropriate resources from available cloud service providers as output. This resource information is then sent to the mobile device.

[0130] Step 4:

[0131] The user reviews and approves the resource proposal presented on their mobile device. Here, the user views the proposed plan and either approves it or requests individual adjustments. This approval information is returned to the server, preparing it for the next automated provisioning.

[0132] Step 5:

[0133] The server automatically provisions selected digital resources through the network service provider's API. The API directly controls resource placement and configuration, resulting in the rapid construction of the digital infrastructure. The server reports to the user terminals when provisioning is complete.

[0134] Step 6:

[0135] The terminal continuously monitors the operational status of the built system. When the server detects signs of an anomaly, it automatically performs corrective actions. Here, data is analyzed based on certain thresholds and patterns, and necessary measures are taken. The results of the anomaly response are then notified to the user.

[0136] Step 7:

[0137] The server analyzes the performance and cost of running digital resources and provides users with suggestions for efficiency improvements. Using AI models, it analyzes operational data and generates recommendations regarding scalability and cost reduction. These recommendations are then sent to the user's mobile device.

[0138] 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.

[0139] As an embodiment of the present invention, a system is provided for analyzing user requirements information and combining it with an emotion engine to construct a system more suitable for the user. This system is executed by an information processing device.

[0140] First, the user inputs project requirements into the system via a dedicated terminal. During this process, the terminal collects emotional data through the user's facial expressions and tone of voice. This emotional data is then sent to an emotion engine to analyze the user's emotional state.

[0141] The server analyzes user requirements information as well as emotional data received from the emotion engine. This analysis process reflects the emotional data to more accurately identify system requirements. Therefore, if a user is experiencing anxiety or concern, the server identifies the cause and incorporates it into the system design.

[0142] Next, the server selects the optimal information processing resources based on the identified system requirements. The selection process takes into account the user's emotional state; for example, if higher reliability is required, the selection will prioritize reliability, and the proposed solutions will be adjusted accordingly.

[0143] Once the user approves the proposed configuration, the server automatically provisions the data processing resources using the cloud service provider's API. This includes the automated setup of the necessary hardware and software. The provisioned system fully complies with the system requirements specified by the user.

[0144] Furthermore, the server constantly monitors the constructed information processing system. If an anomaly is detected in the system, the server uses an emotion engine to re-evaluate the user's emotions and provides a solution in a way that is most acceptable to the user.

[0145] When the system is running, the server monitors usage and analyzes cost efficiency in real time. Based on the analysis results, it generates resource optimization and cost reduction proposals and makes appropriate suggestions to the user.

[0146] For example, when a user sets up an online sales system for a new product, the requirements information includes expected sales figures and service delivery time. If the user's impatience or expectations are detected by the emotion engine, the server takes this into account and prioritizes a highly available infrastructure. The resulting system can provide a reliable and cost-effective service that reflects the user's emotional state.

[0147] The following describes the processing flow.

[0148] Step 1:

[0149] The user inputs project requirements using a dedicated terminal. Simultaneously, the terminal uses a camera and microphone to sense the user's facial expressions and voice tone, collecting emotional data.

[0150] Step 2:

[0151] The device sends the collected emotional data to the server. This includes facial recognition data and voice analysis data.

[0152] Step 3:

[0153] The server analyzes the sentiment data received along with the user's requirements information. Using natural language processing and a sentiment engine, it identifies system requirements that take the user's emotional state into account.

[0154] Step 4:

[0155] Based on the identified system requirements, the server uses an AI algorithm to select the optimal information processing resources. In this process, the user's emotional state is taken into account; for example, if the user is experiencing high levels of anxiety, reliability will be prioritized in the selection.

[0156] Step 5:

[0157] The server presents the user with selected information processing resources and configuration proposals. The user reviews the presentation and either approves or requests modifications.

[0158] Step 6:

[0159] After the user approves the configuration, the server calls the cloud service provider's API and automatically provisions the necessary resources.

[0160] Step 7:

[0161] The server automatically configures the operating system and installs necessary software on the provisioned information processing resources. Security measures are also applied during this process.

[0162] Step 8:

[0163] The server monitors the built system in real time, and if it detects an anomaly, it re-evaluates the user's emotions using the emotion engine, adjusts and implements appropriate countermeasures.

[0164] Step 9:

[0165] The server monitors and analyzes the usage of the information processing system and generates suggestions in real time to improve cost efficiency. It then provides users with suggestions for optimized resource management and cost reduction.

[0166] (Example 2)

[0167] 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 will be referred to as the "terminal."

[0168] Conventional information processing systems required identifying system requirements based on user requirements information and selecting appropriate computing resources. However, they could not consider the user's emotional state, making it difficult to design systems that reflected the user's true needs. In particular, even during system operation, the system could not respond flexibly to changes in the user's emotions, sometimes leading to decreased satisfaction. Furthermore, there was a need for efficient cost management based on system usage.

[0169] 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.

[0170] In this invention, the server includes means for analyzing user requirements information received from an information input device and combining it with user emotion data to identify system requirements; means for selecting optimal computing resources based on the identified system requirements and presenting them while considering the user's emotional state; and means for automatically constructing a computing system using the selected computing resources. This enables system design that reflects the user's emotions and allows for efficient and flexible operation of the system.

[0171] An "information input device" is a device used by users to input required information, and it has a data collection function that can also acquire user sentiment data.

[0172] "Requirements information" refers to data on the requirements and conditions that a user needs for a particular project or system.

[0173] "Emotional data" refers to data that indicates a user's emotional state, generated by analyzing the user's facial expressions and voice.

[0174] "System requirements" are data that specifies the conditions and specifications of a system that are necessary to achieve a particular purpose.

[0175] "Computational resources" refers to the hardware and software elements necessary for information processing, including elements with processing power and storage capabilities.

[0176] "Selection" refers to the act of choosing the optimal option based on specific criteria.

[0177] "Presentation" refers to the act of showing selected information or options to the user.

[0178] "To build" refers to the process of combining selected elements to create an actual system.

[0179] The present invention aims to optimize system design by selecting appropriate computing resources based on user requirements information and sentiment data. Specific embodiments are described below.

[0180] The user inputs the required information into the system using a dedicated input device. This device is equipped with a camera and microphone, which can detect the user's facial expressions and voice to collect emotional data. The collected data is then transmitted to an information processing device.

[0181] The server utilizes a generative AI model to analyze the received requirements information and sentiment data. The AI ​​model employs natural language processing and machine learning techniques to extract the user's true needs and potential anxieties from the data. This analysis clarifies appropriate system requirements.

[0182] The server selects the optimal computing resource from among several options based on the identified system requirements. In this process, the server utilizes the application programming interface provided by the computing resource provider to quickly provision the necessary hardware and software. Selection criteria include performance, reliability, and cost.

[0183] As a concrete example, consider a case where a user starts an online sales service. The user inputs requirements information regarding sales volume and operating hours, and at the same time, emotional data such as anxiety and expectation, expressed through facial expressions and voice, is also collected. The server analyzes this data and selects and proposes highly reliable server resources.

[0184] An example of a prompt for a generative AI model might be, "Please tell me the steps to design an infrastructure for an online sales service that takes user emotions into consideration and prioritizes high availability."

[0185] This allows for the automatic creation and efficient operation of an optimal system that reflects user emotions.

[0186] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0187] Step 1:

[0188] The user uses a dedicated terminal to input requirements information related to their project. The terminal captures the user's facial expressions with a camera and records their voice with a microphone during input. From this data, the terminal generates emotional data about the user. The input to this process is the user's requirements information and emotional state, and the output is the requirements information and emotional data. Specifically, software is executed to analyze facial expressions and voice tone.

[0189] Step 2:

[0190] The server receives requirements information and sentiment data sent from the terminal. To analyze this data, the server uses a generative AI model. The input here is user requirements information and sentiment data, and the output is system requirements as a result of the analysis. The server uses natural language processing and machine learning algorithms to extract the user's core needs and potential anxieties from the data.

[0191] Step 3:

[0192] The server selects the optimal computing resources based on the identified system requirements. This step involves calling the cloud service provider's API to list available computing resources and making a selection based on performance, reliability, and cost. The input is the system requirements, and the output is the selected computing resources. Specifically, an algorithm is executed to create API queries and evaluate the results.

[0193] Step 4:

[0194] The server presents the user with selected computing resources and requests approval. Once the user approves, the server automatically begins provisioning the computing resources. The input is information about the selected computing resources, and the output is the constructed system. The server automates the startup of computing instances and software installation through the cloud service provider's API.

[0195] Step 5:

[0196] The server constantly monitors the constructed computing system, issues alerts if anomalies are detected, and further re-evaluates user sentiment using an emotion engine. Inputs are system operation data and the latest user sentiment data, and output is improvement suggestions. Automatic responses are configured for specific anomalies, and countermeasures are implemented based on the analysis results.

[0197] Step 6:

[0198] The server monitors the usage of the running system and performs cost efficiency analysis in real time. Based on the analysis results, it proposes resource optimization and cost reduction measures to the user. The input is system usage data, and the output is optimization and cost reduction proposals. Statistical analysis of historical data and predictive models are used for the analysis.

[0199] (Application Example 2)

[0200] 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".

[0201] In modern information processing systems, it is difficult to build flexible and efficient systems that fully reflect user requirements and emotional states. As a result, it is not possible to provide the optimal processing environment that users desire, hindering improvements in the user experience. Furthermore, a lack of emotionally responsive systems tends to reduce the efficiency and reliability of system operations.

[0202] 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.

[0203] In this invention, the server includes means for analyzing user requirements information and emotional state information to identify system requirements, means for selecting and presenting optimal information processing resources based on the identified requirements and emotional state, and means for building a system and adjusting its operation using the selected resources. This makes it possible to provide an optimal information processing system based on the user's requirements and emotions.

[0204] An "information processing device" is a device that receives data, performs calculations and analyses, and outputs the results.

[0205] "User requirements information" refers to information that indicates the user's desired functions and performance requirements and conditions.

[0206] "Emotional state information" refers to information that indicates the psychological state of a user, inferred from their facial expressions, voice, etc.

[0207] "Optimal information processing resources" refer to the hardware and software resources that are best suited to the specified requirements.

[0208] "Automatically building an information processing system" means setting up and operating a system using selected resources without human intervention.

[0209] "Presenting to the user" means clearly showing the results of the analysis and selection to the user.

[0210] "Detecting an anomaly" means discovering a state in which the system is not functioning correctly.

[0211] "Suggestions for improving cost efficiency" refer to recommending solutions or actions that enhance cost-effectiveness.

[0212] "Adjusting operations according to emotional state" means taking into account the user's emotional response and appropriately changing the system's behavior and responses.

[0213] To implement this invention, the user first inputs requirements information into the system using a dedicated terminal. The terminal acquires emotional state information from the user's facial expressions and voice and transmits it to the server. The server analyzes the received requirements information and emotional state information to identify system requirements. This analysis uses an emotion analysis engine and is performed through Google Cloud's AI / ML service.

[0214] The server selects and presents the most suitable information processing resources to the user based on identified system requirements and emotional state. Once the user approves the proposal, the server automatically provisions using the service provider's API and builds the information processing system. The built system then adjusts its operation according to the emotional state.

[0215] A concrete example is an emotion-responsive household assistance robot. This robot adjusts its behavior optimally to increase the speed of household chores when the user feels busy, and works quietly when the user is relaxed, demonstrating environmentally conscious behavior.

[0216] Examples of prompt messages are as follows:

[0217] "Analyze the user's facial expressions and voice tone to identify their current emotional state. If anxiety is detected, recommend the most optimal way to handle household chores based on that emotion."

[0218] This invention makes it possible to provide efficient and highly satisfying services by accurately analyzing user emotions and operating the system accordingly.

[0219] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0220] Step 1:

[0221] The terminal receives user requirements information as input and sends that information to the server. At the same time, the terminal captures the user's facial expressions and voice using an emotion sensor and generates emotional state information from this. This generated emotional state information is also sent to the server.

[0222] Step 2:

[0223] The server inputs the received requirements information and emotional state information into the emotion analysis engine. Using AI / ML services, it analyzes the emotional state and identifies the user's psychological needs. Based on these analysis results, it defines system requirements and outputs them as data necessary for the next process.

[0224] Step 3:

[0225] The server selects the optimal information processing resource based on defined system requirements and analyzed emotional state information. This selection process considers reliability and cost efficiency, narrows down the candidate information processing resources, and outputs information to present options to the user.

[0226] Step 4:

[0227] The user considers the information processing resource options presented by the server and selects the optimal configuration. The selected information is then fed back to the server.

[0228] Step 5:

[0229] The server automatically provisions the information processing resources selected by the user through the service provider's API. This process automates the setup of physical hardware and software, and outputs the constructed system.

[0230] Step 6:

[0231] The server monitors the operational information processing system and collects system usage data in real time. If an anomaly is detected, it re-evaluates the emotional state and generates and outputs information to determine appropriate countermeasures.

[0232] Step 7:

[0233] The server performs cost-efficiency analysis and generates an optimization plan that takes into account the user's emotional state. It then proposes this optimization plan to the user and provides output to balance system performance and cost.

[0234] 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.

[0235] 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.

[0236] 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.

[0237] [Second Embodiment]

[0238] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0239] 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.

[0240] 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).

[0241] 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.

[0242] 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.

[0243] 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).

[0244] 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.

[0245] 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.

[0246] 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.

[0247] 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.

[0248] 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.

[0249] 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".

[0250] The system, as an embodiment of the present invention, includes a program that receives user requirements information as input, automatically proposes an optimal system configuration based on that information, and then constructs and operates the system. The operation of the system will be described in detail below.

[0251] First, the user inputs project requirements information into the system via a dedicated terminal. This requirements information includes necessary functions, objectives, budget, and performance requirements. Based on this information, the server uses natural language processing to analyze the requirements information and extract specific system requirements.

[0252] Next, the server uses an AI algorithm to select the optimal information processing resources based on the extracted system requirements. This selection process takes into account the efficiency, cost, and reliability of the existing resources. Subsequently, the server presents the user with a proposed system configuration that includes the selected information processing resources.

[0253] Once the user approves the proposed configuration, the server automatically provisions the necessary information processing resources using the cloud service provider's application programming interface. This allows the terminal to set up the system in a remote environment. The server automatically performs all the steps necessary to build the system, including operating system configuration, security patch application, and application installation.

[0254] Furthermore, the server constantly monitors the built system and automatically takes countermeasures if it detects abnormal behavior. This ensures that the system operates stably while maintaining high availability. In terms of security management, the server regularly applies security updates to strengthen defenses against unknown threats.

[0255] Ultimately, the server analyzes system usage and provides users with suggestions aimed at improving cost efficiency. These suggestions may include scaling resources, reducing unnecessary services, and proposing more efficient operational strategies.

[0256] As a concrete example, consider a case where a user launches a new web application. In this case, the user inputs information such as the required server performance, expected number of accesses, and data storage format. Based on this information, the server selects the optimal cloud resources, applies the necessary settings, and automatically builds the application. As a result, the user can quickly make the web application available online without understanding the technical details of the system.

[0257] The following describes the processing flow.

[0258] Step 1:

[0259] Users enter project requirements information via a dedicated terminal. This information includes functional requirements, budget, and expected traffic volume.

[0260] Step 2:

[0261] The server receives requirements information entered by the user. The server uses natural language processing to analyze the information and extract specific system requirements.

[0262] Step 3:

[0263] Based on the extracted system requirements, the server uses an AI algorithm to identify the optimal information processing resources. In this process, the server makes selections considering cost, resource utilization efficiency, and reliability.

[0264] Step 4:

[0265] The server presents the selected information processing resources and their proposed configuration to the user. The user reviews and approves the presented configuration to proceed to the next process.

[0266] Step 5:

[0267] Once the user approves the configuration, the server automatically provisions the selected data processing resources using the cloud service provider's API.

[0268] Step 6:

[0269] The server automatically performs the necessary system configurations for the provisioned resources. This includes installing the operating system, applying security settings, and installing applications.

[0270] Step 7:

[0271] The server constantly monitors the system that has been built. If an anomaly occurs in the system, the server analyzes the logs and automatically takes corrective action.

[0272] Step 8:

[0273] The server collects usage data from the running information processing system, generates suggestions to improve cost efficiency, and provides them to the user. These suggestions include resource optimization and waste reduction measures.

[0274] (Example 1)

[0275] 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."

[0276] The design and management of modern information processing systems are becoming increasingly complex, posing a challenge for users who cannot efficiently build and operate systems without understanding these technical details. In particular, there is a need to centralize and automate a wide range of processes, including requirements analysis, optimal resource selection, automated system construction and monitoring, and improvement of operational efficiency. Furthermore, insufficient security management and efficient operational cost management remain significant challenges.

[0277] 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.

[0278] In this invention, the server includes means for processing user request information obtained via a user terminal and deriving system requirements; means for selecting and presenting optimal information processing resources to the user based on the derived system requirements; and means for automatically assembling an information processing system using the selected information processing resources. As a result, users can quickly and efficiently build an information processing system without understanding technical details, and continue to operate it with high security and low cost.

[0279] The "user terminal" is an electronic device for a user to input required information, and is a device that enables information exchange with a server.

[0280] The "required information" is information including requirements and conditions necessary for the construction and operation of a system, and is data used by a server for analysis.

[0281] The "system requirements" are specific technical specifications and necessary conditions derived based on the required information, and are elements serving as criteria for selecting optimal information processing resources.

[0282] The "information processing resources" are an aggregate of computing power, storage devices, communication facilities, etc. necessary for an information system to function as resources.

[0283] The "server" is a central computing device that analyzes required information, selects information processing resources, and constructs and monitors a system.

[0284] "Provisioning" refers to a series of procedures for appropriately preparing and arranging information processing resources and bringing the system into an operating state.

[0285] The "cloud service provider" is an entity that provides information processing resources via the Internet and provides an application program interface for using the service.

[0286] The "application program interface" is a communication interface provided by a cloud service provider and is a convention that enables an external system or application to manage cloud resources by a program.

[0287] The "defense update measures" refer to software updates and corrections regularly implemented to address security threats in an information processing system.

[0288] To implement this invention, a server, terminals, and cloud services are primarily used. The server functions as the central hub for information processing, deriving system requirements based on request information received from user terminals. The request information includes the necessary system functions, performance requirements, and financial constraints. The server analyzes the request information using natural language processing technology. This technology utilizes, for example, natural language processing libraries and machine learning frameworks (e.g., TensorFlow).

[0289] Information entered by the user via their device is sent to a server via the internet for processing. Based on the analyzed information, the most suitable resources for information processing are selected. This selection is automated by an AI algorithm, optimizing budget and performance. The selected resources are provisioned via the cloud service provider's application programming interface (API), securing specific computing resources.

[0290] The server installs the necessary operating systems and software on the secured cloud resources and applies the latest security patches. This builds the information processing system. The system is monitored by the server, and anomaly detection and defensive update measures are automatically performed.

[0291] As a concrete example, consider a case where a user launches a new web service using a device. The user inputs "server performance based on demand, estimated number of accesses, and data storage format" on the device. Based on this, the server selects the optimal resources and secures the necessary computing resources via a cloud service. The system is then automatically built, and the new service is launched quickly without relying on the user's technical knowledge.

[0292] Example prompt: "I want to launch a new web service. Please enter the required server specifications, estimated number of accesses, and data storage format."

[0293] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0294] Step 1:

[0295] User input of project requirements

[0296] Users use a dedicated terminal to input project requirements information into the system. Specific inputs include required server performance, expected access volume, and data storage method. This information is then transmitted to the server via the terminal.

[0297] Step 2:

[0298] Analysis of requirements information

[0299] The server receives requirements information sent from the terminal. Natural language processing tools are used to analyze the input text data, extracting keywords and contextual information. As a result of this data processing, structured data regarding system requirements is generated.

[0300] Step 3:

[0301] Resource selection and proposal creation

[0302] Based on the system requirements obtained from the analysis, the server uses an AI algorithm to select the optimal information processing resources. Here, the optimal configuration is determined from the available resources based on the required performance and cost constraints. As output, a proposed system configuration is generated to be presented to the user.

[0303] Step 4:

[0304] Presentation and approval of the proposed structure.

[0305] The server sends the generated system configuration proposal to the user's terminal and presents it to the user. The user reviews the presented configuration proposal and requests approval or modification as needed. The user's approval is sent to the server as input.

[0306] Step 5:

[0307] Resource Provisioning

[0308] After obtaining approval from the user, the server automatically provisions the necessary information processing resources using the application programming interface of the cloud service provider. Resource securing and setting application are specifically performed, and as a result, an operable computing environment is output.

[0309] Step 6:

[0310] System Construction

[0311] The server installs the necessary operating system and applications on the provisioned resources. Furthermore, application of security patches and adjustment of network settings are also automatically performed. As a result, a fully constructed information processing system is completed.

[0312] Step 7:

[0313] System Monitoring and Maintenance

[0314] The server continuously monitors the operating system. Using monitoring tools, detection of abnormal traffic and malfunctions is performed, and when an abnormality is detected, response measures are automatically executed. Regular security updates are also applied, thereby realizing stable system operation.

[0315] (Application Example 1)

[0316] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0317] With the widespread adoption of cloud services, there is a growing need for optimal selection of diverse digital resources, rapid system construction, and early detection and automated countermeasures for operational anomalies. Furthermore, utilizing mobile devices to monitor and approve these processes in real time is a key challenge in improving operational efficiency and reducing operating costs.

[0318] 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.

[0319] In this invention, the server includes means for analyzing user requirements information to identify operational requirements, means for selecting the optimal digital resources based on the identified operational requirements, and means for checking resource selection and construction status in real time using a mobile terminal. This enables users to select the optimal digital resources and efficiently build and operate the system.

[0320] An "information processing device" is an electronic device that inputs, processes, and outputs data, and provides information according to the user's requests.

[0321] "Requirements information" refers to information that summarizes the performance, functions, and constraints that users expect from a system.

[0322] "Operational requirements" refer to the conditions and performance indicators necessary for the operation of an information system, and are factors that influence the selection of digital resources.

[0323] "Digital resources" refer to electronic resources such as computing power, storage, and applications provided on the cloud or network.

[0324] "Provisioning" refers to the process of preparing and deploying the necessary resources for use within a system.

[0325] A "system" is a set of mechanisms constructed by combining multiple functions and components to perform a specific task.

[0326] An "abnormality" in an information processing system refers to a state that deviates from the normal operating conditions or the occurrence of unexpected behavior.

[0327] "Automatically executing countermeasures" refers to taking swift action to resolve a problem based on pre-configured methods, without human intervention, when an anomaly occurs.

[0328] A "mobile device" refers to a portable electronic device such as a mobile phone or tablet that functions by connecting to a network.

[0329] "Real-time" means responding to or processing ongoing events immediately without delay.

[0330] As a form of implementing the invention, this invention provides a system for selecting the optimal digital resources based on user requirements and quickly building a system. The server receives requirement information from the user, analyzes it using natural language processing, and identifies operational requirements. Based on this, it selects the optimal digital resources using an AI algorithm. The selected digital resources are confirmed and approved in real time via a mobile terminal.

[0331] The server automatically provisions information processing resources using the network service provider's API. This process leverages cloud service interfaces such as DigitalOcean and AWS to enable rapid resource deployment. The system is also constantly monitored, and if an anomaly is detected, pre-configured automatic countermeasures are quickly executed. This ensures system stability and high availability. Furthermore, the server analyzes operational cost efficiency and performance and provides users with suggestions for improving efficiency.

[0332] As a concrete example, when a user launches a web service for a new business, they input the necessary server performance and data storage requirements from a mobile device. Based on this information, the optimal virtual machine and database service are automatically selected and quickly deployed. As a result, users can efficiently operate the system even without technical knowledge.

[0333] The following is an example of a prompt statement.

[0334] User: Can you suggest the best cloud resources for my business?

[0335] System: Of course. Please tell us the required computing power, budget limit, and preferred data center location.

[0336] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0337] Step 1:

[0338] The user enters requirements information using a mobile device. This data includes information about the system's required performance, budget, and preferred location. This information is sent to the server and used in the next step.

[0339] Step 2:

[0340] The server analyzes the received requirements information using a natural language processing engine to identify specific operational requirements. Here, performance requirements and resource constraints are extracted and structured as data from the input information. This extracted data is then used in subsequent resource selection.

[0341] Step 3:

[0342] The server selects the optimal digital resources based on operational requirements identified using an AI algorithm. The AI ​​algorithm takes historical data and market trends as input and selects appropriate resources from available cloud service providers as output. This resource information is then sent to the mobile device.

[0343] Step 4:

[0344] The user reviews and approves the resource proposal presented on their mobile device. Here, the user views the proposed plan and either approves it or requests individual adjustments. This approval information is returned to the server, preparing it for the next automated provisioning.

[0345] Step 5:

[0346] The server automatically provisions selected digital resources through the network service provider's API. The API directly controls resource placement and configuration, resulting in the rapid construction of the digital infrastructure. The server reports to the user terminals when provisioning is complete.

[0347] Step 6:

[0348] The terminal continuously monitors the operational status of the built system. When the server detects signs of an anomaly, it automatically performs corrective actions. Here, data is analyzed based on certain thresholds and patterns, and necessary measures are taken. The results of the anomaly response are then notified to the user.

[0349] Step 7:

[0350] The server analyzes the performance and cost of running digital resources and provides users with suggestions for efficiency improvements. Using AI models, it analyzes operational data and generates recommendations regarding scalability and cost reduction. These recommendations are then sent to the user's mobile device.

[0351] 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.

[0352] As an embodiment of the present invention, a system is provided for analyzing user requirements information and combining it with an emotion engine to construct a system more suitable for the user. This system is executed by an information processing device.

[0353] First, the user inputs project requirements into the system via a dedicated terminal. During this process, the terminal collects emotional data through the user's facial expressions and tone of voice. This emotional data is then sent to an emotion engine to analyze the user's emotional state.

[0354] The server analyzes user requirements information as well as emotional data received from the emotion engine. This analysis process reflects the emotional data to more accurately identify system requirements. Therefore, if a user is experiencing anxiety or concern, the server identifies the cause and incorporates it into the system design.

[0355] Next, the server selects the optimal information processing resources based on the identified system requirements. The selection process takes into account the user's emotional state; for example, if higher reliability is required, the selection will prioritize reliability, and the proposed solutions will be adjusted accordingly.

[0356] Once the user approves the proposed configuration, the server automatically provisions the data processing resources using the cloud service provider's API. This includes the automated setup of the necessary hardware and software. The provisioned system fully complies with the system requirements specified by the user.

[0357] Furthermore, the server constantly monitors the constructed information processing system. If an anomaly is detected in the system, the server uses an emotion engine to re-evaluate the user's emotions and provides a solution in a way that is most acceptable to the user.

[0358] When the system is running, the server monitors usage and analyzes cost efficiency in real time. Based on the analysis results, it generates resource optimization and cost reduction proposals and makes appropriate suggestions to the user.

[0359] For example, when a user sets up an online sales system for a new product, the requirements information includes expected sales figures and service delivery time. If the user's impatience or expectations are detected by the emotion engine, the server takes this into account and prioritizes a highly available infrastructure. The resulting system can provide a reliable and cost-effective service that reflects the user's emotional state.

[0360] The following describes the processing flow.

[0361] Step 1:

[0362] The user inputs project requirements using a dedicated terminal. Simultaneously, the terminal uses a camera and microphone to sense the user's facial expressions and voice tone, collecting emotional data.

[0363] Step 2:

[0364] The device sends the collected emotional data to the server. This includes facial recognition data and voice analysis data.

[0365] Step 3:

[0366] The server analyzes the sentiment data received along with the user's requirements information. Using natural language processing and a sentiment engine, it identifies system requirements that take the user's emotional state into account.

[0367] Step 4:

[0368] Based on the identified system requirements, the server uses an AI algorithm to select the optimal information processing resources. In this process, the user's emotional state is taken into account; for example, if the user is experiencing high levels of anxiety, reliability will be prioritized in the selection.

[0369] Step 5:

[0370] The server presents the user with selected information processing resources and configuration proposals. The user reviews the presentation and either approves or requests modifications.

[0371] Step 6:

[0372] After the user approves the configuration, the server calls the cloud service provider's API and automatically provisions the necessary resources.

[0373] Step 7:

[0374] The server automatically configures the operating system and installs necessary software on the provisioned information processing resources. Security measures are also applied during this process.

[0375] Step 8:

[0376] The server monitors the built system in real time, and if it detects an anomaly, it re-evaluates the user's emotions using the emotion engine, adjusts and implements appropriate countermeasures.

[0377] Step 9:

[0378] The server monitors and analyzes the usage of the information processing system and generates suggestions in real time to improve cost efficiency. It then provides users with suggestions for optimized resource management and cost reduction.

[0379] (Example 2)

[0380] 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".

[0381] Conventional information processing systems required identifying system requirements based on user requirements information and selecting appropriate computing resources. However, they could not consider the user's emotional state, making it difficult to design systems that reflected the user's true needs. In particular, even during system operation, the system could not respond flexibly to changes in the user's emotions, sometimes leading to decreased satisfaction. Furthermore, there was a need for efficient cost management based on system usage.

[0382] 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.

[0383] In this invention, the server includes means for analyzing user requirements information received from an information input device and combining it with user emotion data to identify system requirements; means for selecting optimal computing resources based on the identified system requirements and presenting them while considering the user's emotional state; and means for automatically constructing a computing system using the selected computing resources. This enables system design that reflects the user's emotions and allows for efficient and flexible operation of the system.

[0384] An "information input device" is a device used by users to input required information, and it has a data collection function that can also acquire user sentiment data.

[0385] "Requirements information" refers to data on the requirements and conditions that a user needs for a particular project or system.

[0386] "Emotional data" refers to data that indicates a user's emotional state, generated by analyzing the user's facial expressions and voice.

[0387] "System requirements" are data that specifies the conditions and specifications of a system that are necessary to achieve a particular purpose.

[0388] "Computational resources" refers to the hardware and software elements necessary for information processing, including elements with processing power and storage capabilities.

[0389] "Selection" refers to the act of choosing the optimal option based on specific criteria.

[0390] "Presentation" refers to the act of showing selected information or options to the user.

[0391] "To build" refers to the process of combining selected elements to create an actual system.

[0392] The present invention aims to optimize system design by selecting appropriate computing resources based on user requirements information and sentiment data. Specific embodiments are described below.

[0393] The user inputs the required information into the system using a dedicated input device. This device is equipped with a camera and microphone, which can detect the user's facial expressions and voice to collect emotional data. The collected data is then transmitted to an information processing device.

[0394] The server utilizes a generative AI model to analyze the received requirements information and sentiment data. The AI ​​model employs natural language processing and machine learning techniques to extract the user's true needs and potential anxieties from the data. This analysis clarifies appropriate system requirements.

[0395] The server selects the optimal computing resource from among several options based on the identified system requirements. In this process, the server utilizes the application programming interface provided by the computing resource provider to quickly provision the necessary hardware and software. Selection criteria include performance, reliability, and cost.

[0396] As a concrete example, consider a case where a user starts an online sales service. The user inputs requirements information regarding sales volume and operating hours, and at the same time, emotional data such as anxiety and expectation, expressed through facial expressions and voice, is also collected. The server analyzes this data and selects and proposes highly reliable server resources.

[0397] An example of a prompt for a generative AI model might be, "Please tell me the steps to design an infrastructure for an online sales service that takes user emotions into consideration and prioritizes high availability."

[0398] This allows for the automatic creation and efficient operation of an optimal system that reflects user emotions.

[0399] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0400] Step 1:

[0401] The user uses a dedicated terminal to input requirements information related to their project. The terminal captures the user's facial expressions with a camera and records their voice with a microphone during input. From this data, the terminal generates emotional data about the user. The input to this process is the user's requirements information and emotional state, and the output is the requirements information and emotional data. Specifically, software is executed to analyze facial expressions and voice tone.

[0402] Step 2:

[0403] The server receives requirements information and sentiment data sent from the terminal. To analyze this data, the server uses a generative AI model. The input here is user requirements information and sentiment data, and the output is system requirements as a result of the analysis. The server uses natural language processing and machine learning algorithms to extract the user's core needs and potential anxieties from the data.

[0404] Step 3:

[0405] The server selects the optimal computing resources based on the identified system requirements. This step involves calling the cloud service provider's API to list available computing resources and making a selection based on performance, reliability, and cost. The input is the system requirements, and the output is the selected computing resources. Specifically, an algorithm is executed to create API queries and evaluate the results.

[0406] Step 4:

[0407] The server presents the user with selected computing resources and requests approval. Once the user approves, the server automatically begins provisioning the computing resources. The input is information about the selected computing resources, and the output is the constructed system. The server automates the startup of computing instances and software installation through the cloud service provider's API.

[0408] Step 5:

[0409] The server constantly monitors the constructed computing system, issues alerts if anomalies are detected, and further re-evaluates user sentiment using an emotion engine. Inputs are system operation data and the latest user sentiment data, and output is improvement suggestions. Automatic responses are configured for specific anomalies, and countermeasures are implemented based on the analysis results.

[0410] Step 6:

[0411] The server monitors the usage of the running system and performs cost efficiency analysis in real time. Based on the analysis results, it proposes resource optimization and cost reduction measures to the user. The input is system usage data, and the output is optimization and cost reduction proposals. Statistical analysis of historical data and predictive models are used for the analysis.

[0412] (Application Example 2)

[0413] 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."

[0414] In modern information processing systems, it is difficult to build flexible and efficient systems that fully reflect user requirements and emotional states. As a result, it is not possible to provide the optimal processing environment that users desire, hindering improvements in the user experience. Furthermore, a lack of emotionally responsive systems tends to reduce the efficiency and reliability of system operations.

[0415] 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.

[0416] In this invention, the server includes means for analyzing user requirements information and emotional state information to identify system requirements, means for selecting and presenting optimal information processing resources based on the identified requirements and emotional state, and means for building a system and adjusting its operation using the selected resources. This makes it possible to provide an optimal information processing system based on the user's requirements and emotions.

[0417] An "information processing device" is a device that receives data, performs calculations and analyses, and outputs the results.

[0418] "User requirements information" refers to information that indicates the user's desired functions and performance requirements and conditions.

[0419] "Emotional state information" refers to information that indicates the psychological state of a user, inferred from their facial expressions, voice, etc.

[0420] "Optimal information processing resources" refer to the hardware and software resources that are best suited to the specified requirements.

[0421] "Automatically building an information processing system" means setting up and operating a system using selected resources without human intervention.

[0422] "Presenting to the user" means clearly showing the results of the analysis and selection to the user.

[0423] "Detecting an anomaly" means discovering a state in which the system is not functioning correctly.

[0424] "Suggestions for improving cost efficiency" refer to recommending solutions or actions that enhance cost-effectiveness.

[0425] "Adjusting operations according to emotional state" means taking into account the user's emotional response and appropriately changing the system's behavior and responses.

[0426] To implement this invention, the user first inputs requirements information into the system using a dedicated terminal. The terminal acquires emotional state information from the user's facial expressions and voice and transmits it to the server. The server analyzes the received requirements information and emotional state information to identify system requirements. This analysis uses an emotion analysis engine and is performed through Google Cloud's AI / ML service.

[0427] The server selects and presents the most suitable information processing resources to the user based on identified system requirements and emotional state. Once the user approves the proposal, the server automatically provisions using the service provider's API and builds the information processing system. The built system then adjusts its operation according to the emotional state.

[0428] A concrete example is an emotion-responsive household assistance robot. This robot adjusts its behavior optimally to increase the speed of household chores when the user feels busy, and works quietly when the user is relaxed, demonstrating environmentally conscious behavior.

[0429] Examples of prompt messages are as follows:

[0430] "Analyze the user's facial expressions and voice tone to identify their current emotional state. If anxiety is detected, recommend the most optimal way to handle household chores based on that emotion."

[0431] This invention makes it possible to provide efficient and highly satisfying services by accurately analyzing user emotions and operating the system accordingly.

[0432] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0433] Step 1:

[0434] The terminal receives user requirements information as input and sends that information to the server. At the same time, the terminal captures the user's facial expressions and voice using an emotion sensor and generates emotional state information from this. This generated emotional state information is also sent to the server.

[0435] Step 2:

[0436] The server inputs the received requirements information and emotional state information into the emotion analysis engine. Using AI / ML services, it analyzes the emotional state and identifies the user's psychological needs. Based on these analysis results, it defines system requirements and outputs them as data necessary for the next process.

[0437] Step 3:

[0438] The server selects the optimal information processing resource based on defined system requirements and analyzed emotional state information. This selection process considers reliability and cost efficiency, narrows down the candidate information processing resources, and outputs information to present options to the user.

[0439] Step 4:

[0440] The user considers the information processing resource options presented by the server and selects the optimal configuration. The selected information is then fed back to the server.

[0441] Step 5:

[0442] The server automatically provisions the information processing resources selected by the user through the service provider's API. This process automates the setup of physical hardware and software, and outputs the constructed system.

[0443] Step 6:

[0444] The server monitors the operational information processing system and collects system usage data in real time. If an anomaly is detected, it re-evaluates the emotional state and generates and outputs information to determine appropriate countermeasures.

[0445] Step 7:

[0446] The server performs cost-efficiency analysis and generates an optimization plan that takes into account the user's emotional state. It then proposes this optimization plan to the user and provides output to balance system performance and cost.

[0447] 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.

[0448] 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.

[0449] 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.

[0450] [Third Embodiment]

[0451] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0452] 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.

[0453] 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).

[0454] 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.

[0455] 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.

[0456] 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).

[0457] 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.

[0458] 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.

[0459] 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.

[0460] 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.

[0461] 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.

[0462] 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".

[0463] The system, as an embodiment of the present invention, includes a program that receives user requirements information as input, automatically proposes an optimal system configuration based on that information, and then constructs and operates the system. The operation of the system will be described in detail below.

[0464] First, the user inputs project requirements information into the system via a dedicated terminal. This requirements information includes necessary functions, objectives, budget, and performance requirements. Based on this information, the server uses natural language processing to analyze the requirements information and extract specific system requirements.

[0465] Next, the server uses an AI algorithm to select the optimal information processing resources based on the extracted system requirements. This selection process takes into account the efficiency, cost, and reliability of the existing resources. Subsequently, the server presents the user with a proposed system configuration that includes the selected information processing resources.

[0466] Once the user approves the proposed configuration, the server automatically provisions the necessary information processing resources using the cloud service provider's application programming interface. This allows the terminal to set up the system in a remote environment. The server automatically performs all the steps necessary to build the system, including operating system configuration, security patch application, and application installation.

[0467] Furthermore, the server constantly monitors the built system and automatically takes countermeasures if it detects abnormal behavior. This ensures that the system operates stably while maintaining high availability. In terms of security management, the server regularly applies security updates to strengthen defenses against unknown threats.

[0468] Ultimately, the server analyzes system usage and provides users with suggestions aimed at improving cost efficiency. These suggestions may include scaling resources, reducing unnecessary services, and proposing more efficient operational strategies.

[0469] As a concrete example, consider a case where a user launches a new web application. In this case, the user inputs information such as the required server performance, expected number of accesses, and data storage format. Based on this information, the server selects the optimal cloud resources, applies the necessary settings, and automatically builds the application. As a result, the user can quickly make the web application available online without understanding the technical details of the system.

[0470] The following describes the processing flow.

[0471] Step 1:

[0472] Users enter project requirements information via a dedicated terminal. This information includes functional requirements, budget, and expected traffic volume.

[0473] Step 2:

[0474] The server receives requirements information entered by the user. The server uses natural language processing to analyze the information and extract specific system requirements.

[0475] Step 3:

[0476] Based on the extracted system requirements, the server uses an AI algorithm to identify the optimal information processing resources. In this process, the server makes selections considering cost, resource utilization efficiency, and reliability.

[0477] Step 4:

[0478] The server presents the selected information processing resources and their proposed configuration to the user. The user reviews and approves the presented configuration to proceed to the next process.

[0479] Step 5:

[0480] Once the user approves the configuration, the server automatically provisions the selected data processing resources using the cloud service provider's API.

[0481] Step 6:

[0482] The server automatically performs the necessary system configurations for the provisioned resources. This includes installing the operating system, applying security settings, and installing applications.

[0483] Step 7:

[0484] The server constantly monitors the system that has been built. If an anomaly occurs in the system, the server analyzes the logs and automatically takes corrective action.

[0485] Step 8:

[0486] The server collects usage data from the running information processing system, generates suggestions to improve cost efficiency, and provides them to the user. These suggestions include resource optimization and waste reduction measures.

[0487] (Example 1)

[0488] 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."

[0489] The design and management of modern information processing systems are becoming increasingly complex, posing a challenge for users who cannot efficiently build and operate systems without understanding these technical details. In particular, there is a need to centralize and automate a wide range of processes, including requirements analysis, optimal resource selection, automated system construction and monitoring, and improvement of operational efficiency. Furthermore, insufficient security management and efficient operational cost management remain significant challenges.

[0490] 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.

[0491] In this invention, the server includes means for processing user request information obtained via a user terminal and deriving system requirements; means for selecting and presenting optimal information processing resources to the user based on the derived system requirements; and means for automatically assembling an information processing system using the selected information processing resources. As a result, users can quickly and efficiently build an information processing system without understanding technical details, and continue to operate it with high security and low cost.

[0492] A "user terminal" is an electronic device used by users to input requested information and is a device that enables the exchange of information with a server.

[0493] "Request information" refers to information that includes the requirements and conditions necessary for the user to build and operate the system, and is the data that the server uses for analysis.

[0494] "System requirements" are specific technical specifications and necessary conditions derived from the requirements information, and are elements that serve as criteria for selecting the optimal information processing resources.

[0495] "Information processing resources" refer to a collection of computing power, memory devices, communication equipment, and other elements necessary for an information system to function as a resource.

[0496] A "server" is a central computing device that performs tasks such as analyzing request information, selecting resources for information processing, and building and monitoring the system.

[0497] "Provisioning" refers to a series of procedures for properly preparing and arranging information processing resources and getting a system up and running.

[0498] A "cloud service provider" is a business entity that provides information processing resources via the internet and provides application program interfaces for using those services.

[0499] An "Application Programming Interface" is a communication interface provided by a cloud service provider, and it is a set of rules that allows external systems and applications to manage cloud resources programmatically.

[0500] "Defensive update measures" refer to software updates and fixes that are regularly implemented to address security threats in information processing systems.

[0501] To implement this invention, a server, terminals, and cloud services are primarily used. The server functions as the central hub for information processing, deriving system requirements based on request information received from user terminals. The request information includes the necessary system functions, performance requirements, and financial constraints. The server analyzes the request information using natural language processing technology. This technology utilizes, for example, natural language processing libraries and machine learning frameworks (e.g., TensorFlow).

[0502] Information entered by the user via their device is sent to a server via the internet for processing. Based on the analyzed information, the most suitable resources for information processing are selected. This selection is automated by an AI algorithm, optimizing budget and performance. The selected resources are provisioned via the cloud service provider's application programming interface (API), securing specific computing resources.

[0503] The server installs the necessary operating systems and software on the secured cloud resources and applies the latest security patches. This builds the information processing system. The system is monitored by the server, and anomaly detection and defensive update measures are automatically performed.

[0504] As a concrete example, consider a case where a user launches a new web service using a device. The user inputs "server performance based on demand, estimated number of accesses, and data storage format" on the device. Based on this, the server selects the optimal resources and secures the necessary computing resources via a cloud service. The system is then automatically built, and the new service is launched quickly without relying on the user's technical knowledge.

[0505] Example prompt: "I want to launch a new web service. Please enter the required server specifications, estimated number of accesses, and data storage format."

[0506] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0507] Step 1:

[0508] User input of project requirements

[0509] Users use a dedicated terminal to input project requirements information into the system. Specific inputs include required server performance, expected access volume, and data storage method. This information is then transmitted to the server via the terminal.

[0510] Step 2:

[0511] Analysis of requirements information

[0512] The server receives requirements information sent from the terminal. Natural language processing tools are used to analyze the input text data, extracting keywords and contextual information. As a result of this data processing, structured data regarding system requirements is generated.

[0513] Step 3:

[0514] Resource selection and proposal creation

[0515] Based on the system requirements obtained from the analysis, the server uses an AI algorithm to select the optimal information processing resources. Here, the optimal configuration is determined from the available resources based on the required performance and cost constraints. As output, a proposed system configuration is generated to be presented to the user.

[0516] Step 4:

[0517] Presentation and approval of the proposed structure.

[0518] The server sends the generated system configuration proposal to the user's terminal and presents it to the user. The user reviews the presented configuration proposal and requests approval or modification as needed. The user's approval is sent to the server as input.

[0519] Step 5:

[0520] Resource provisioning

[0521] After obtaining user approval, the server automatically provisions the necessary information processing resources using the cloud service provider's application program interface. Resource allocation and configuration are then performed, resulting in a fully operational computing environment.

[0522] Step 6:

[0523] System Construction

[0524] The server installs the necessary operating systems and applications on the provisioned resources. Furthermore, security patches are applied and network settings are adjusted automatically. This completes a fully configured information processing system.

[0525] Step 7:

[0526] System monitoring and maintenance

[0527] The server continuously monitors the running system. Monitoring tools are used to detect abnormal traffic and malfunctions, and when an anomaly is detected, automatic corrective actions are taken. Regular security updates are also applied, ensuring stable system operation.

[0528] (Application Example 1)

[0529] 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."

[0530] With the widespread adoption of cloud services, there is a growing need for optimal selection of diverse digital resources, rapid system construction, and early detection and automated countermeasures for operational anomalies. Furthermore, utilizing mobile devices to monitor and approve these processes in real time is a key challenge in improving operational efficiency and reducing operating costs.

[0531] 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.

[0532] In this invention, the server includes means for analyzing user requirements information to identify operational requirements, means for selecting the optimal digital resources based on the identified operational requirements, and means for checking resource selection and construction status in real time using a mobile terminal. This enables users to select the optimal digital resources and efficiently build and operate the system.

[0533] An "information processing device" is an electronic device that inputs, processes, and outputs data, and provides information according to the user's requests.

[0534] "Requirements information" refers to information that summarizes the performance, functions, and constraints that users expect from a system.

[0535] "Operational requirements" refer to the conditions and performance indicators necessary for the operation of an information system, and are factors that influence the selection of digital resources.

[0536] "Digital resources" refer to electronic resources such as computing power, storage, and applications provided on the cloud or network.

[0537] "Provisioning" refers to the process of preparing and deploying the necessary resources for use within a system.

[0538] A "system" is a set of mechanisms constructed by combining multiple functions and components to perform a specific task.

[0539] An "abnormality" in an information processing system refers to a state that deviates from the normal operating conditions or the occurrence of unexpected behavior.

[0540] "Automatically executing countermeasures" refers to taking swift action to resolve a problem based on pre-configured methods, without human intervention, when an anomaly occurs.

[0541] A "mobile device" refers to a portable electronic device such as a mobile phone or tablet that functions by connecting to a network.

[0542] "Real-time" means responding to or processing ongoing events immediately without delay.

[0543] As a form of implementing the invention, this invention provides a system for selecting the optimal digital resources based on user requirements and quickly building a system. The server receives requirement information from the user, analyzes it using natural language processing, and identifies operational requirements. Based on this, it selects the optimal digital resources using an AI algorithm. The selected digital resources are confirmed and approved in real time via a mobile terminal.

[0544] The server automatically provisions information processing resources using the network service provider's API. This process leverages cloud service interfaces such as DigitalOcean and AWS to enable rapid resource deployment. The system is also constantly monitored, and if an anomaly is detected, pre-configured automatic countermeasures are quickly executed. This ensures system stability and high availability. Furthermore, the server analyzes operational cost efficiency and performance and provides users with suggestions for improving efficiency.

[0545] As a concrete example, when a user launches a web service for a new business, they input the necessary server performance and data storage requirements from a mobile device. Based on this information, the optimal virtual machine and database service are automatically selected and quickly deployed. As a result, users can efficiently operate the system even without technical knowledge.

[0546] The following is an example of a prompt statement.

[0547] User: Can you suggest the best cloud resources for my business?

[0548] System: Of course. Please tell us the required computing power, budget limit, and preferred data center location.

[0549] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0550] Step 1:

[0551] The user enters requirements information using a mobile device. This data includes information about the system's required performance, budget, and preferred location. This information is sent to the server and used in the next step.

[0552] Step 2:

[0553] The server analyzes the received requirements information using a natural language processing engine to identify specific operational requirements. Here, performance requirements and resource constraints are extracted and structured as data from the input information. This extracted data is then used in subsequent resource selection.

[0554] Step 3:

[0555] The server selects the optimal digital resources based on operational requirements identified using an AI algorithm. The AI ​​algorithm takes historical data and market trends as input and selects appropriate resources from available cloud service providers as output. This resource information is then sent to the mobile device.

[0556] Step 4:

[0557] The user reviews and approves the resource proposal presented on their mobile device. Here, the user views the proposed plan and either approves it or requests individual adjustments. This approval information is returned to the server, preparing it for the next automated provisioning.

[0558] Step 5:

[0559] The server automatically provisions selected digital resources through the network service provider's API. The API directly controls resource placement and configuration, resulting in the rapid construction of the digital infrastructure. The server reports to the user terminals when provisioning is complete.

[0560] Step 6:

[0561] The terminal continuously monitors the operational status of the built system. When the server detects signs of an anomaly, it automatically performs corrective actions. Here, data is analyzed based on certain thresholds and patterns, and necessary measures are taken. The results of the anomaly response are then notified to the user.

[0562] Step 7:

[0563] The server analyzes the performance and cost of running digital resources and provides users with suggestions for efficiency improvements. Using AI models, it analyzes operational data and generates recommendations regarding scalability and cost reduction. These recommendations are then sent to the user's mobile device.

[0564] 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.

[0565] As an embodiment of the present invention, a system is provided for analyzing user requirements information and combining it with an emotion engine to construct a system more suitable for the user. This system is executed by an information processing device.

[0566] First, the user inputs project requirements into the system via a dedicated terminal. During this process, the terminal collects emotional data through the user's facial expressions and tone of voice. This emotional data is then sent to an emotion engine to analyze the user's emotional state.

[0567] The server analyzes user requirements information as well as emotional data received from the emotion engine. This analysis process reflects the emotional data to more accurately identify system requirements. Therefore, if a user is experiencing anxiety or concern, the server identifies the cause and incorporates it into the system design.

[0568] Next, the server selects the optimal information processing resources based on the identified system requirements. The selection process takes into account the user's emotional state; for example, if higher reliability is required, the selection will prioritize reliability, and the proposed solutions will be adjusted accordingly.

[0569] Once the user approves the proposed configuration, the server automatically provisions the data processing resources using the cloud service provider's API. This includes the automated setup of the necessary hardware and software. The provisioned system fully complies with the system requirements specified by the user.

[0570] Furthermore, the server constantly monitors the constructed information processing system. If an anomaly is detected in the system, the server uses an emotion engine to re-evaluate the user's emotions and provides a solution in a way that is most acceptable to the user.

[0571] When the system is running, the server monitors usage and analyzes cost efficiency in real time. Based on the analysis results, it generates resource optimization and cost reduction proposals and makes appropriate suggestions to the user.

[0572] For example, when a user sets up an online sales system for a new product, the requirements information includes expected sales figures and service delivery time. If the user's impatience or expectations are detected by the emotion engine, the server takes this into account and prioritizes a highly available infrastructure. The resulting system can provide a reliable and cost-effective service that reflects the user's emotional state.

[0573] The following describes the processing flow.

[0574] Step 1:

[0575] The user inputs project requirements using a dedicated terminal. Simultaneously, the terminal uses a camera and microphone to sense the user's facial expressions and voice tone, collecting emotional data.

[0576] Step 2:

[0577] The device sends the collected emotional data to the server. This includes facial recognition data and voice analysis data.

[0578] Step 3:

[0579] The server analyzes the sentiment data received along with the user's requirements information. Using natural language processing and a sentiment engine, it identifies system requirements that take the user's emotional state into account.

[0580] Step 4:

[0581] Based on the identified system requirements, the server uses an AI algorithm to select the optimal information processing resources. In this process, the user's emotional state is taken into account; for example, if the user is experiencing high levels of anxiety, reliability will be prioritized in the selection.

[0582] Step 5:

[0583] The server presents the user with selected information processing resources and configuration proposals. The user reviews the presentation and either approves or requests modifications.

[0584] Step 6:

[0585] After the user approves the configuration, the server calls the cloud service provider's API and automatically provisions the necessary resources.

[0586] Step 7:

[0587] The server automatically configures the operating system and installs necessary software on the provisioned information processing resources. Security measures are also applied during this process.

[0588] Step 8:

[0589] The server monitors the built system in real time, and if it detects an anomaly, it re-evaluates the user's emotions using the emotion engine, adjusts and implements appropriate countermeasures.

[0590] Step 9:

[0591] The server monitors and analyzes the usage of the information processing system and generates suggestions in real time to improve cost efficiency. It then provides users with suggestions for optimized resource management and cost reduction.

[0592] (Example 2)

[0593] 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."

[0594] Conventional information processing systems required identifying system requirements based on user requirements information and selecting appropriate computing resources. However, they could not consider the user's emotional state, making it difficult to design systems that reflected the user's true needs. In particular, even during system operation, the system could not respond flexibly to changes in the user's emotions, sometimes leading to decreased satisfaction. Furthermore, there was a need for efficient cost management based on system usage.

[0595] 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.

[0596] In this invention, the server includes means for analyzing user requirements information received from an information input device and combining it with user emotion data to identify system requirements; means for selecting optimal computing resources based on the identified system requirements and presenting them while considering the user's emotional state; and means for automatically constructing a computing system using the selected computing resources. This enables system design that reflects the user's emotions and allows for efficient and flexible operation of the system.

[0597] An "information input device" is a device used by users to input required information, and it has a data collection function that can also acquire user sentiment data.

[0598] "Requirements information" refers to data on the requirements and conditions that a user needs for a particular project or system.

[0599] "Emotional data" refers to data that indicates a user's emotional state, generated by analyzing the user's facial expressions and voice.

[0600] "System requirements" are data that specifies the conditions and specifications of a system that are necessary to achieve a particular purpose.

[0601] "Computational resources" refers to the hardware and software elements necessary for information processing, including elements with processing power and storage capabilities.

[0602] "Selection" refers to the act of choosing the optimal option based on specific criteria.

[0603] "Presentation" refers to the act of showing selected information or options to the user.

[0604] "To build" refers to the process of combining selected elements to create an actual system.

[0605] The present invention aims to optimize system design by selecting appropriate computing resources based on user requirements information and sentiment data. Specific embodiments are described below.

[0606] The user inputs the required information into the system using a dedicated input device. This device is equipped with a camera and microphone, which can detect the user's facial expressions and voice to collect emotional data. The collected data is then transmitted to an information processing device.

[0607] The server utilizes a generative AI model to analyze the received requirements information and sentiment data. The AI ​​model employs natural language processing and machine learning techniques to extract the user's true needs and potential anxieties from the data. This analysis clarifies appropriate system requirements.

[0608] The server selects the optimal computing resource from among several options based on the identified system requirements. In this process, the server utilizes the application programming interface provided by the computing resource provider to quickly provision the necessary hardware and software. Selection criteria include performance, reliability, and cost.

[0609] As a concrete example, consider a case where a user starts an online sales service. The user inputs requirements information regarding sales volume and operating hours, and at the same time, emotional data such as anxiety and expectation, expressed through facial expressions and voice, is also collected. The server analyzes this data and selects and proposes highly reliable server resources.

[0610] An example of a prompt for a generative AI model might be, "Please tell me the steps to design an infrastructure for an online sales service that takes user emotions into consideration and prioritizes high availability."

[0611] This allows for the automatic creation and efficient operation of an optimal system that reflects user emotions.

[0612] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0613] Step 1:

[0614] The user uses a dedicated terminal to input requirements information related to their project. The terminal captures the user's facial expressions with a camera and records their voice with a microphone during input. From this data, the terminal generates emotional data about the user. The input to this process is the user's requirements information and emotional state, and the output is the requirements information and emotional data. Specifically, software is executed to analyze facial expressions and voice tone.

[0615] Step 2:

[0616] The server receives requirements information and sentiment data sent from the terminal. To analyze this data, the server uses a generative AI model. The input here is user requirements information and sentiment data, and the output is system requirements as a result of the analysis. The server uses natural language processing and machine learning algorithms to extract the user's core needs and potential anxieties from the data.

[0617] Step 3:

[0618] The server selects the optimal computing resources based on the identified system requirements. This step involves calling the cloud service provider's API to list available computing resources and making a selection based on performance, reliability, and cost. The input is the system requirements, and the output is the selected computing resources. Specifically, an algorithm is executed to create API queries and evaluate the results.

[0619] Step 4:

[0620] The server presents the user with selected computing resources and requests approval. Once the user approves, the server automatically begins provisioning the computing resources. The input is information about the selected computing resources, and the output is the constructed system. The server automates the startup of computing instances and software installation through the cloud service provider's API.

[0621] Step 5:

[0622] The server constantly monitors the constructed computing system, issues alerts if anomalies are detected, and further re-evaluates user sentiment using an emotion engine. Inputs are system operation data and the latest user sentiment data, and output is improvement suggestions. Automatic responses are configured for specific anomalies, and countermeasures are implemented based on the analysis results.

[0623] Step 6:

[0624] The server monitors the usage of the running system and performs cost efficiency analysis in real time. Based on the analysis results, it proposes resource optimization and cost reduction measures to the user. The input is system usage data, and the output is optimization and cost reduction proposals. Statistical analysis of historical data and predictive models are used for the analysis.

[0625] (Application Example 2)

[0626] 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."

[0627] In modern information processing systems, it is difficult to build flexible and efficient systems that fully reflect user requirements and emotional states. As a result, it is not possible to provide the optimal processing environment that users desire, hindering improvements in the user experience. Furthermore, a lack of emotionally responsive systems tends to reduce the efficiency and reliability of system operations.

[0628] 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.

[0629] In this invention, the server includes means for analyzing user requirements information and emotional state information to identify system requirements, means for selecting and presenting optimal information processing resources based on the identified requirements and emotional state, and means for building a system and adjusting its operation using the selected resources. This makes it possible to provide an optimal information processing system based on the user's requirements and emotions.

[0630] An "information processing device" is a device that receives data, performs calculations and analyses, and outputs the results.

[0631] "User requirements information" refers to information that indicates the user's desired functions and performance requirements and conditions.

[0632] "Emotional state information" refers to information that indicates the psychological state of a user, inferred from their facial expressions, voice, etc.

[0633] "Optimal information processing resources" refer to the hardware and software resources that are best suited to the specified requirements.

[0634] "Automatically building an information processing system" means setting up and operating a system using selected resources without human intervention.

[0635] "Presenting to the user" means clearly showing the results of the analysis and selection to the user.

[0636] "Detecting an anomaly" means discovering a state in which the system is not functioning correctly.

[0637] "Suggestions for improving cost efficiency" refer to recommending solutions or actions that enhance cost-effectiveness.

[0638] "Adjusting operations according to emotional state" means taking into account the user's emotional response and appropriately changing the system's behavior and responses.

[0639] To implement this invention, the user first inputs requirements information into the system using a dedicated terminal. The terminal acquires emotional state information from the user's facial expressions and voice and transmits it to the server. The server analyzes the received requirements information and emotional state information to identify system requirements. This analysis uses an emotion analysis engine and is performed through Google Cloud's AI / ML service.

[0640] The server selects and presents the most suitable information processing resources to the user based on identified system requirements and emotional state. Once the user approves the proposal, the server automatically provisions using the service provider's API and builds the information processing system. The built system then adjusts its operation according to the emotional state.

[0641] A concrete example is an emotion-responsive household assistance robot. This robot adjusts its behavior optimally to increase the speed of household chores when the user feels busy, and works quietly when the user is relaxed, demonstrating environmentally conscious behavior.

[0642] Examples of prompt messages are as follows:

[0643] "Analyze the user's facial expressions and voice tone to identify their current emotional state. If anxiety is detected, recommend the most optimal way to handle household chores based on that emotion."

[0644] This invention makes it possible to provide efficient and highly satisfying services by accurately analyzing user emotions and operating the system accordingly.

[0645] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0646] Step 1:

[0647] The terminal receives user requirements information as input and sends that information to the server. At the same time, the terminal captures the user's facial expressions and voice using an emotion sensor and generates emotional state information from this. This generated emotional state information is also sent to the server.

[0648] Step 2:

[0649] The server inputs the received requirements information and emotional state information into the emotion analysis engine. Using AI / ML services, it analyzes the emotional state and identifies the user's psychological needs. Based on these analysis results, it defines system requirements and outputs them as data necessary for the next process.

[0650] Step 3:

[0651] The server selects the optimal information processing resource based on defined system requirements and analyzed emotional state information. This selection process considers reliability and cost efficiency, narrows down the candidate information processing resources, and outputs information to present options to the user.

[0652] Step 4:

[0653] The user considers the information processing resource options presented by the server and selects the optimal configuration. The selected information is then fed back to the server.

[0654] Step 5:

[0655] The server automatically provisions the information processing resources selected by the user through the service provider's API. This process automates the setup of physical hardware and software, and outputs the constructed system.

[0656] Step 6:

[0657] The server monitors the operational information processing system and collects system usage data in real time. If an anomaly is detected, it re-evaluates the emotional state and generates and outputs information to determine appropriate countermeasures.

[0658] Step 7:

[0659] The server performs cost-efficiency analysis and generates an optimization plan that takes into account the user's emotional state. It then proposes this optimization plan to the user and provides output to balance system performance and cost.

[0660] 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.

[0661] 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.

[0662] 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.

[0663] [Fourth Embodiment]

[0664] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0665] 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.

[0666] 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).

[0667] 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.

[0668] 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.

[0669] 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).

[0670] 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.

[0671] 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.

[0672] 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.

[0673] 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.

[0674] 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.

[0675] 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.

[0676] 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".

[0677] The system, as an embodiment of the present invention, includes a program that receives user requirements information as input, automatically proposes an optimal system configuration based on that information, and then constructs and operates the system. The operation of the system will be described in detail below.

[0678] First, the user inputs project requirements information into the system via a dedicated terminal. This requirements information includes necessary functions, objectives, budget, and performance requirements. Based on this information, the server uses natural language processing to analyze the requirements information and extract specific system requirements.

[0679] Next, the server uses an AI algorithm to select the optimal information processing resources based on the extracted system requirements. This selection process takes into account the efficiency, cost, and reliability of the existing resources. Subsequently, the server presents the user with a proposed system configuration that includes the selected information processing resources.

[0680] Once the user approves the proposed configuration, the server automatically provisions the necessary information processing resources using the cloud service provider's application programming interface. This allows the terminal to set up the system in a remote environment. The server automatically performs all the steps necessary to build the system, including operating system configuration, security patch application, and application installation.

[0681] Furthermore, the server constantly monitors the built system and automatically takes countermeasures if it detects abnormal behavior. This ensures that the system operates stably while maintaining high availability. In terms of security management, the server regularly applies security updates to strengthen defenses against unknown threats.

[0682] Ultimately, the server analyzes system usage and provides users with suggestions aimed at improving cost efficiency. These suggestions may include scaling resources, reducing unnecessary services, and proposing more efficient operational strategies.

[0683] As a concrete example, consider a case where a user launches a new web application. In this case, the user inputs information such as the required server performance, expected number of accesses, and data storage format. Based on this information, the server selects the optimal cloud resources, applies the necessary settings, and automatically builds the application. As a result, the user can quickly make the web application available online without understanding the technical details of the system.

[0684] The following describes the processing flow.

[0685] Step 1:

[0686] Users enter project requirements information via a dedicated terminal. This information includes functional requirements, budget, and expected traffic volume.

[0687] Step 2:

[0688] The server receives requirements information entered by the user. The server uses natural language processing to analyze the information and extract specific system requirements.

[0689] Step 3:

[0690] Based on the extracted system requirements, the server uses an AI algorithm to identify the optimal information processing resources. In this process, the server makes selections considering cost, resource utilization efficiency, and reliability.

[0691] Step 4:

[0692] The server presents the selected information processing resources and their proposed configuration to the user. The user reviews and approves the presented configuration to proceed to the next process.

[0693] Step 5:

[0694] Once the user approves the configuration, the server automatically provisions the selected data processing resources using the cloud service provider's API.

[0695] Step 6:

[0696] The server automatically performs the necessary system configurations for the provisioned resources. This includes installing the operating system, applying security settings, and installing applications.

[0697] Step 7:

[0698] The server constantly monitors the system that has been built. If an anomaly occurs in the system, the server analyzes the logs and automatically takes corrective action.

[0699] Step 8:

[0700] The server collects usage data from the running information processing system, generates suggestions to improve cost efficiency, and provides them to the user. These suggestions include resource optimization and waste reduction measures.

[0701] (Example 1)

[0702] 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".

[0703] The design and management of modern information processing systems are becoming increasingly complex, posing a challenge for users who cannot efficiently build and operate systems without understanding these technical details. In particular, there is a need to centralize and automate a wide range of processes, including requirements analysis, optimal resource selection, automated system construction and monitoring, and improvement of operational efficiency. Furthermore, insufficient security management and efficient operational cost management remain significant challenges.

[0704] 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.

[0705] In this invention, the server includes means for processing user request information obtained via a user terminal and deriving system requirements; means for selecting and presenting optimal information processing resources to the user based on the derived system requirements; and means for automatically assembling an information processing system using the selected information processing resources. As a result, users can quickly and efficiently build an information processing system without understanding technical details, and continue to operate it with high security and low cost.

[0706] A "user terminal" is an electronic device used by users to input requested information and is a device that enables the exchange of information with a server.

[0707] "Request information" refers to information that includes the requirements and conditions necessary for the user to build and operate the system, and is the data that the server uses for analysis.

[0708] "System requirements" are specific technical specifications and necessary conditions derived from the requirements information, and are elements that serve as criteria for selecting the optimal information processing resources.

[0709] "Information processing resources" refer to a collection of computing power, memory devices, communication equipment, and other elements necessary for an information system to function as a resource.

[0710] A "server" is a central computing device that performs tasks such as analyzing request information, selecting resources for information processing, and building and monitoring the system.

[0711] "Provisioning" refers to a series of procedures for properly preparing and arranging information processing resources and getting a system up and running.

[0712] A "cloud service provider" is a business entity that provides information processing resources via the internet and provides application program interfaces for using those services.

[0713] An "Application Programming Interface" is a communication interface provided by a cloud service provider, and it is a set of rules that allows external systems and applications to manage cloud resources programmatically.

[0714] "Defensive update measures" refer to software updates and fixes that are regularly implemented to address security threats in information processing systems.

[0715] To implement this invention, a server, terminals, and cloud services are primarily used. The server functions as the central hub for information processing, deriving system requirements based on request information received from user terminals. The request information includes the necessary system functions, performance requirements, and financial constraints. The server analyzes the request information using natural language processing technology. This technology utilizes, for example, natural language processing libraries and machine learning frameworks (e.g., TensorFlow).

[0716] Information entered by the user via their device is sent to a server via the internet for processing. Based on the analyzed information, the most suitable resources for information processing are selected. This selection is automated by an AI algorithm, optimizing budget and performance. The selected resources are provisioned via the cloud service provider's application programming interface (API), securing specific computing resources.

[0717] The server installs the necessary operating systems and software on the secured cloud resources and applies the latest security patches. This builds the information processing system. The system is monitored by the server, and anomaly detection and defensive update measures are automatically performed.

[0718] As a concrete example, consider a case where a user launches a new web service using a device. The user inputs "server performance based on demand, estimated number of accesses, and data storage format" on the device. Based on this, the server selects the optimal resources and secures the necessary computing resources via a cloud service. The system is then automatically built, and the new service is launched quickly without relying on the user's technical knowledge.

[0719] Example prompt: "I want to launch a new web service. Please enter the required server specifications, estimated number of accesses, and data storage format."

[0720] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0721] Step 1:

[0722] User input of project requirements

[0723] Users use a dedicated terminal to input project requirements information into the system. Specific inputs include required server performance, expected access volume, and data storage method. This information is then transmitted to the server via the terminal.

[0724] Step 2:

[0725] Analysis of requirements information

[0726] The server receives requirements information sent from the terminal. Natural language processing tools are used to analyze the input text data, extracting keywords and contextual information. As a result of this data processing, structured data regarding system requirements is generated.

[0727] Step 3:

[0728] Resource selection and proposal creation

[0729] Based on the system requirements obtained from the analysis, the server uses an AI algorithm to select the optimal information processing resources. Here, the optimal configuration is determined from the available resources based on the required performance and cost constraints. As output, a proposed system configuration is generated to be presented to the user.

[0730] Step 4:

[0731] Presentation and approval of the proposed structure.

[0732] The server sends the generated system configuration proposal to the user's terminal and presents it to the user. The user reviews the presented configuration proposal and requests approval or modification as needed. The user's approval is sent to the server as input.

[0733] Step 5:

[0734] Resource provisioning

[0735] After obtaining user approval, the server automatically provisions the necessary information processing resources using the cloud service provider's application program interface. Resource allocation and configuration are then performed, resulting in a fully operational computing environment.

[0736] Step 6:

[0737] System Construction

[0738] The server installs the necessary operating systems and applications on the provisioned resources. Furthermore, security patches are applied and network settings are adjusted automatically. This completes a fully configured information processing system.

[0739] Step 7:

[0740] System monitoring and maintenance

[0741] The server continuously monitors the running system. Monitoring tools are used to detect abnormal traffic and malfunctions, and when an anomaly is detected, automatic corrective actions are taken. Regular security updates are also applied, ensuring stable system operation.

[0742] (Application Example 1)

[0743] 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".

[0744] With the widespread adoption of cloud services, there is a growing need for optimal selection of diverse digital resources, rapid system construction, and early detection and automated countermeasures for operational anomalies. Furthermore, utilizing mobile devices to monitor and approve these processes in real time is a key challenge in improving operational efficiency and reducing operating costs.

[0745] 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.

[0746] In this invention, the server includes means for analyzing user requirements information to identify operational requirements, means for selecting the optimal digital resources based on the identified operational requirements, and means for checking resource selection and construction status in real time using a mobile terminal. This enables users to select the optimal digital resources and efficiently build and operate the system.

[0747] An "information processing device" is an electronic device that inputs, processes, and outputs data, and provides information according to the user's requests.

[0748] "Requirements information" refers to information that summarizes the performance, functions, and constraints that users expect from a system.

[0749] "Operational requirements" refer to the conditions and performance indicators necessary for the operation of an information system, and are factors that influence the selection of digital resources.

[0750] "Digital resources" refer to electronic resources such as computing power, storage, and applications provided on the cloud or network.

[0751] "Provisioning" refers to the process of preparing and deploying the necessary resources for use within a system.

[0752] A "system" is a set of mechanisms constructed by combining multiple functions and components to perform a specific task.

[0753] An "abnormality" in an information processing system refers to a state that deviates from the normal operating conditions or the occurrence of unexpected behavior.

[0754] "Automatically executing countermeasures" refers to taking swift action to resolve a problem based on pre-configured methods, without human intervention, when an anomaly occurs.

[0755] A "mobile device" refers to a portable electronic device such as a mobile phone or tablet that functions by connecting to a network.

[0756] "Real-time" means responding to or processing ongoing events immediately without delay.

[0757] As a form of implementing the invention, this invention provides a system for selecting the optimal digital resources based on user requirements and quickly building a system. The server receives requirement information from the user, analyzes it using natural language processing, and identifies operational requirements. Based on this, it selects the optimal digital resources using an AI algorithm. The selected digital resources are confirmed and approved in real time via a mobile terminal.

[0758] The server automatically provisions information processing resources using the network service provider's API. This process leverages cloud service interfaces such as DigitalOcean and AWS to enable rapid resource deployment. The system is also constantly monitored, and if an anomaly is detected, pre-configured automatic countermeasures are quickly executed. This ensures system stability and high availability. Furthermore, the server analyzes operational cost efficiency and performance and provides users with suggestions for improving efficiency.

[0759] As a concrete example, when a user launches a web service for a new business, they input the necessary server performance and data storage requirements from a mobile device. Based on this information, the optimal virtual machine and database service are automatically selected and quickly deployed. As a result, users can efficiently operate the system even without technical knowledge.

[0760] The following is an example of a prompt statement.

[0761] User: Can you suggest the best cloud resources for my business?

[0762] System: Of course. Please tell us the required computing power, budget limit, and preferred data center location.

[0763] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0764] Step 1:

[0765] The user enters requirements information using a mobile device. This data includes information about the system's required performance, budget, and preferred location. This information is sent to the server and used in the next step.

[0766] Step 2:

[0767] The server analyzes the received requirements information using a natural language processing engine to identify specific operational requirements. Here, performance requirements and resource constraints are extracted and structured as data from the input information. This extracted data is then used in subsequent resource selection.

[0768] Step 3:

[0769] The server selects the optimal digital resources based on operational requirements identified using an AI algorithm. The AI ​​algorithm takes historical data and market trends as input and selects appropriate resources from available cloud service providers as output. This resource information is then sent to the mobile device.

[0770] Step 4:

[0771] The user reviews and approves the resource proposal presented on their mobile device. Here, the user views the proposed plan and either approves it or requests individual adjustments. This approval information is returned to the server, preparing it for the next automated provisioning.

[0772] Step 5:

[0773] The server automatically provisions selected digital resources through the network service provider's API. The API directly controls resource placement and configuration, resulting in the rapid construction of the digital infrastructure. The server reports to the user terminals when provisioning is complete.

[0774] Step 6:

[0775] The terminal continuously monitors the operational status of the built system. When the server detects signs of an anomaly, it automatically performs corrective actions. Here, data is analyzed based on certain thresholds and patterns, and necessary measures are taken. The results of the anomaly response are then notified to the user.

[0776] Step 7:

[0777] The server analyzes the performance and cost of running digital resources and provides users with suggestions for efficiency improvements. Using AI models, it analyzes operational data and generates recommendations regarding scalability and cost reduction. These recommendations are then sent to the user's mobile device.

[0778] 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.

[0779] As an embodiment of the present invention, a system is provided for analyzing user requirements information and combining it with an emotion engine to construct a system more suitable for the user. This system is executed by an information processing device.

[0780] First, the user inputs project requirements into the system via a dedicated terminal. During this process, the terminal collects emotional data through the user's facial expressions and tone of voice. This emotional data is then sent to an emotion engine to analyze the user's emotional state.

[0781] The server analyzes user requirements information as well as emotional data received from the emotion engine. This analysis process reflects the emotional data to more accurately identify system requirements. Therefore, if a user is experiencing anxiety or concern, the server identifies the cause and incorporates it into the system design.

[0782] Next, the server selects the optimal information processing resources based on the identified system requirements. The selection process takes into account the user's emotional state; for example, if higher reliability is required, the selection will prioritize reliability, and the proposed solutions will be adjusted accordingly.

[0783] Once the user approves the proposed configuration, the server automatically provisions the data processing resources using the cloud service provider's API. This includes the automated setup of the necessary hardware and software. The provisioned system fully complies with the system requirements specified by the user.

[0784] Furthermore, the server constantly monitors the constructed information processing system. If an anomaly is detected in the system, the server uses an emotion engine to re-evaluate the user's emotions and provides a solution in a way that is most acceptable to the user.

[0785] When the system is running, the server monitors usage and analyzes cost efficiency in real time. Based on the analysis results, it generates resource optimization and cost reduction proposals and makes appropriate suggestions to the user.

[0786] For example, when a user sets up an online sales system for a new product, the requirements information includes expected sales figures and service delivery time. If the user's impatience or expectations are detected by the emotion engine, the server takes this into account and prioritizes a highly available infrastructure. The resulting system can provide a reliable and cost-effective service that reflects the user's emotional state.

[0787] The following describes the processing flow.

[0788] Step 1:

[0789] The user inputs project requirements using a dedicated terminal. Simultaneously, the terminal uses a camera and microphone to sense the user's facial expressions and voice tone, collecting emotional data.

[0790] Step 2:

[0791] The device sends the collected emotional data to the server. This includes facial recognition data and voice analysis data.

[0792] Step 3:

[0793] The server analyzes the sentiment data received along with the user's requirements information. Using natural language processing and a sentiment engine, it identifies system requirements that take the user's emotional state into account.

[0794] Step 4:

[0795] Based on the identified system requirements, the server uses an AI algorithm to select the optimal information processing resources. In this process, the user's emotional state is taken into account; for example, if the user is experiencing high levels of anxiety, reliability will be prioritized in the selection.

[0796] Step 5:

[0797] The server presents the user with selected information processing resources and configuration proposals. The user reviews the presentation and either approves or requests modifications.

[0798] Step 6:

[0799] After the user approves the configuration, the server calls the cloud service provider's API and automatically provisions the necessary resources.

[0800] Step 7:

[0801] The server automatically configures the operating system and installs necessary software on the provisioned information processing resources. Security measures are also applied during this process.

[0802] Step 8:

[0803] The server monitors the built system in real time, and if it detects an anomaly, it re-evaluates the user's emotions using the emotion engine, adjusts and implements appropriate countermeasures.

[0804] Step 9:

[0805] The server monitors and analyzes the usage of the information processing system and generates suggestions in real time to improve cost efficiency. It then provides users with suggestions for optimized resource management and cost reduction.

[0806] (Example 2)

[0807] 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".

[0808] Conventional information processing systems required identifying system requirements based on user requirements information and selecting appropriate computing resources. However, they could not consider the user's emotional state, making it difficult to design systems that reflected the user's true needs. In particular, even during system operation, the system could not respond flexibly to changes in the user's emotions, sometimes leading to decreased satisfaction. Furthermore, there was a need for efficient cost management based on system usage.

[0809] 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.

[0810] In this invention, the server includes means for analyzing user requirements information received from an information input device and combining it with user emotion data to identify system requirements; means for selecting optimal computing resources based on the identified system requirements and presenting them while considering the user's emotional state; and means for automatically constructing a computing system using the selected computing resources. This enables system design that reflects the user's emotions and allows for efficient and flexible operation of the system.

[0811] An "information input device" is a device used by users to input required information, and it has a data collection function that can also acquire user sentiment data.

[0812] "Requirements information" refers to data on the requirements and conditions that a user needs for a particular project or system.

[0813] "Emotional data" refers to data that indicates a user's emotional state, generated by analyzing the user's facial expressions and voice.

[0814] "System requirements" are data that specifies the conditions and specifications of a system that are necessary to achieve a particular purpose.

[0815] "Computational resources" refers to the hardware and software elements necessary for information processing, including elements with processing power and storage capabilities.

[0816] "Selection" refers to the act of choosing the optimal option based on specific criteria.

[0817] "Presentation" refers to the act of showing selected information or options to the user.

[0818] "To build" refers to the process of combining selected elements to create an actual system.

[0819] The present invention aims to optimize system design by selecting appropriate computing resources based on user requirements information and sentiment data. Specific embodiments are described below.

[0820] The user inputs the required information into the system using a dedicated input device. This device is equipped with a camera and microphone, which can detect the user's facial expressions and voice to collect emotional data. The collected data is then transmitted to an information processing device.

[0821] The server utilizes a generative AI model to analyze the received requirements information and sentiment data. The AI ​​model employs natural language processing and machine learning techniques to extract the user's true needs and potential anxieties from the data. This analysis clarifies appropriate system requirements.

[0822] The server selects the optimal computing resource from among several options based on the identified system requirements. In this process, the server utilizes the application programming interface provided by the computing resource provider to quickly provision the necessary hardware and software. Selection criteria include performance, reliability, and cost.

[0823] As a concrete example, consider a case where a user starts an online sales service. The user inputs requirements information regarding sales volume and operating hours, and at the same time, emotional data such as anxiety and expectation, expressed through facial expressions and voice, is also collected. The server analyzes this data and selects and proposes highly reliable server resources.

[0824] An example of a prompt for a generative AI model might be, "Please tell me the steps to design an infrastructure for an online sales service that takes user emotions into consideration and prioritizes high availability."

[0825] This allows for the automatic creation and efficient operation of an optimal system that reflects user emotions.

[0826] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0827] Step 1:

[0828] The user uses a dedicated terminal to input requirements information related to their project. The terminal captures the user's facial expressions with a camera and records their voice with a microphone during input. From this data, the terminal generates emotional data about the user. The input to this process is the user's requirements information and emotional state, and the output is the requirements information and emotional data. Specifically, software is executed to analyze facial expressions and voice tone.

[0829] Step 2:

[0830] The server receives requirements information and sentiment data sent from the terminal. To analyze this data, the server uses a generative AI model. The input here is user requirements information and sentiment data, and the output is system requirements as a result of the analysis. The server uses natural language processing and machine learning algorithms to extract the user's core needs and potential anxieties from the data.

[0831] Step 3:

[0832] The server selects the optimal computing resources based on the identified system requirements. This step involves calling the cloud service provider's API to list available computing resources and making a selection based on performance, reliability, and cost. The input is the system requirements, and the output is the selected computing resources. Specifically, an algorithm is executed to create API queries and evaluate the results.

[0833] Step 4:

[0834] The server presents the user with selected computing resources and requests approval. Once the user approves, the server automatically begins provisioning the computing resources. The input is information about the selected computing resources, and the output is the constructed system. The server automates the startup of computing instances and software installation through the cloud service provider's API.

[0835] Step 5:

[0836] The server constantly monitors the constructed computing system, issues alerts if anomalies are detected, and further re-evaluates user sentiment using an emotion engine. Inputs are system operation data and the latest user sentiment data, and output is improvement suggestions. Automatic responses are configured for specific anomalies, and countermeasures are implemented based on the analysis results.

[0837] Step 6:

[0838] The server monitors the usage of the running system and performs cost efficiency analysis in real time. Based on the analysis results, it proposes resource optimization and cost reduction measures to the user. The input is system usage data, and the output is optimization and cost reduction proposals. Statistical analysis of historical data and predictive models are used for the analysis.

[0839] (Application Example 2)

[0840] 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".

[0841] In modern information processing systems, it is difficult to build flexible and efficient systems that fully reflect user requirements and emotional states. As a result, it is not possible to provide the optimal processing environment that users desire, hindering improvements in the user experience. Furthermore, a lack of emotionally responsive systems tends to reduce the efficiency and reliability of system operations.

[0842] 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.

[0843] In this invention, the server includes means for analyzing user requirements information and emotional state information to identify system requirements, means for selecting and presenting optimal information processing resources based on the identified requirements and emotional state, and means for building a system and adjusting its operation using the selected resources. This makes it possible to provide an optimal information processing system based on the user's requirements and emotions.

[0844] An "information processing device" is a device that receives data, performs calculations and analyses, and outputs the results.

[0845] "User requirements information" refers to information that indicates the user's desired functions and performance requirements and conditions.

[0846] "Emotional state information" refers to information that indicates the psychological state of a user, inferred from their facial expressions, voice, etc.

[0847] "Optimal information processing resources" refer to the hardware and software resources that are best suited to the specified requirements.

[0848] "Automatically building an information processing system" means setting up and operating a system using selected resources without human intervention.

[0849] "Presenting to the user" means clearly showing the results of the analysis and selection to the user.

[0850] "Detecting an anomaly" means discovering a state in which the system is not functioning correctly.

[0851] "Suggestions for improving cost efficiency" refer to recommending solutions or actions that enhance cost-effectiveness.

[0852] "Adjusting operations according to emotional state" means taking into account the user's emotional response and appropriately changing the system's behavior and responses.

[0853] To implement this invention, the user first inputs requirements information into the system using a dedicated terminal. The terminal acquires emotional state information from the user's facial expressions and voice and transmits it to the server. The server analyzes the received requirements information and emotional state information to identify system requirements. This analysis uses an emotion analysis engine and is performed through Google Cloud's AI / ML service.

[0854] The server selects and presents the most suitable information processing resources to the user based on identified system requirements and emotional state. Once the user approves the proposal, the server automatically provisions using the service provider's API and builds the information processing system. The built system then adjusts its operation according to the emotional state.

[0855] A concrete example is an emotion-responsive household assistance robot. This robot adjusts its behavior optimally to increase the speed of household chores when the user feels busy, and works quietly when the user is relaxed, demonstrating environmentally conscious behavior.

[0856] Examples of prompt messages are as follows:

[0857] "Analyze the user's facial expressions and voice tone to identify their current emotional state. If anxiety is detected, recommend the most optimal way to handle household chores based on that emotion."

[0858] This invention makes it possible to provide efficient and highly satisfying services by accurately analyzing user emotions and operating the system accordingly.

[0859] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0860] Step 1:

[0861] The terminal receives user requirements information as input and sends that information to the server. At the same time, the terminal captures the user's facial expressions and voice using an emotion sensor and generates emotional state information from this. This generated emotional state information is also sent to the server.

[0862] Step 2:

[0863] The server inputs the received requirements information and emotional state information into the emotion analysis engine. Using AI / ML services, it analyzes the emotional state and identifies the user's psychological needs. Based on these analysis results, it defines system requirements and outputs them as data necessary for the next process.

[0864] Step 3:

[0865] The server selects the optimal information processing resource based on defined system requirements and analyzed emotional state information. This selection process considers reliability and cost efficiency, narrows down the candidate information processing resources, and outputs information to present options to the user.

[0866] Step 4:

[0867] The user considers the information processing resource options presented by the server and selects the optimal configuration. The selected information is then fed back to the server.

[0868] Step 5:

[0869] The server automatically provisions the information processing resources selected by the user through the service provider's API. This process automates the setup of physical hardware and software, and outputs the constructed system.

[0870] Step 6:

[0871] The server monitors the operational information processing system and collects system usage data in real time. If an anomaly is detected, it re-evaluates the emotional state and generates and outputs information to determine appropriate countermeasures.

[0872] Step 7:

[0873] The server performs cost-efficiency analysis and generates an optimization plan that takes into account the user's emotional state. It then proposes this optimization plan to the user and provides output to balance system performance and cost.

[0874] 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.

[0875] 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.

[0876] 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.

[0877] 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.

[0878] 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.

[0879] 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.

[0880] 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.

[0881] 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.

[0882] 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."

[0883] 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.

[0884] 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.

[0885] 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.

[0886] 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.

[0887] 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.

[0888] 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.

[0889] 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.

[0890] 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.

[0891] 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.

[0892] 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.

[0893] 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.

[0894] 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.

[0895] The following is further disclosed regarding the embodiments described above.

[0896] (Claim 1)

[0897] A means for analyzing user requirements information received from an information processing device and identifying system requirements,

[0898] A means of selecting and presenting the optimal information processing resources to the user based on identified system requirements,

[0899] A means of automatically constructing an information processing system using selected information processing resources,

[0900] A means of monitoring the constructed information processing system and automatically taking countermeasures when an anomaly is detected,

[0901] A means of analyzing the usage status of information processing systems and providing users with suggestions for improving cost efficiency,

[0902] A system that includes this.

[0903] (Claim 2)

[0904] The system according to claim 1, wherein information processing resources are provisioned using the application programming interface of a cloud service provider.

[0905] (Claim 3)

[0906] The system according to claim 1, which periodically applies security updates in order to manage the security of the information processing system.

[0907] "Example 1"

[0908] (Claim 1)

[0909] A means for processing user request information obtained via the user terminal and deriving system requirements,

[0910] A means of selecting and presenting the optimal information processing resources to the user based on the derived system requirements,

[0911] A means of automatically assembling an information processing system using selected information processing resources,

[0912] A means for monitoring the assembled information processing system and automatically executing response measures when an abnormal event is detected,

[0913] A means of analyzing the operational status of information processing systems and providing users with suggestions for improving cost-effectiveness,

[0914] A system that includes this.

[0915] (Claim 2)

[0916] The system according to claim 1, wherein the arrangement of information processing resources is performed using an application program interface of an online service provider.

[0917] (Claim 3)

[0918] The system according to claim 1, which periodically applies defensive update measures to manage the defense of an information processing system.

[0919] "Application Example 1"

[0920] (Claim 1)

[0921] A means of analyzing user requirements information received from an information processing device and identifying operational requirements,

[0922] A means of selecting and presenting the most suitable digital resources to users based on identified operational requirements,

[0923] A means of automatically building a system using selected digital resources,

[0924] A means of monitoring the constructed system and automatically taking countermeasures when an anomaly is detected,

[0925] A means of analyzing the usage of digital resources and providing users with suggestions to improve cost-effectiveness,

[0926] A means of selecting resources, checking the construction status in real time, and approving them using a mobile device,

[0927] A system that includes this.

[0928] (Claim 2)

[0929] The system according to claim 1, wherein information processing resources are provisioned using the application programming interface of a network service provider.

[0930] (Claim 3)

[0931] The system according to claim 1, which periodically applies security improvement updates in order to manage the security of the information system.

[0932] "Example 2 of combining an emotion engine"

[0933] (Claim 1)

[0934] A means for analyzing user requirements information received from an information input device and combining it with user sentiment data to identify system requirements,

[0935] A means of selecting the optimal computing resources based on identified system requirements and presenting them while considering the user's emotional state,

[0936] A means of automatically constructing a computing system using selected computing resources,

[0937] A means of monitoring the constructed computing system, re-evaluating user sentiment when anomalies are detected, and implementing the optimal countermeasures,

[0938] A means of analyzing the usage of a computing system and providing users with suggestions for improving efficiency in real time,

[0939] A system that includes this.

[0940] (Claim 2)

[0941] The system according to claim 1, wherein the allocation of computing resources is performed using an application program interface for a remote information processing service.

[0942] (Claim 3)

[0943] The system according to claim 1, which periodically applies safety updates to manage the safety of the computing system.

[0944] "Application example 2 when combining with an emotional engine"

[0945] (Claim 1)

[0946] A means for analyzing user requirements information and emotional state information received from an information processing device to identify system requirements,

[0947] A means of selecting and presenting the optimal information processing resources to the user based on identified system requirements and the user's emotional state,

[0948] A means of automatically constructing an information processing system using selected information processing resources and adjusting its operation according to the user's emotional state,

[0949] A means of monitoring the constructed information processing system, re-evaluating the emotional state when an anomaly is detected, and implementing countermeasures,

[0950] A means of analyzing the usage of information processing systems and providing suggestions for improving cost efficiency while considering the emotional state of the users,

[0951] A system that includes this.

[0952] (Claim 2)

[0953] The system according to claim 1, wherein information processing resources are provisioned using the service provider's application programming interface.

[0954] (Claim 3)

[0955] The system according to claim 1, which periodically applies security updates and adjusts the notification method based on the user's emotional state in order to manage the security of the information processing system. [Explanation of symbols]

[0956] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for analyzing user requirements information received from an information processing device and identifying system requirements, A means of selecting and presenting the optimal information processing resources to the user based on identified system requirements, A means of automatically constructing an information processing system using selected information processing resources, A means of monitoring the constructed information processing system and automatically taking countermeasures when an anomaly is detected, A means of analyzing the usage status of information processing systems and providing users with suggestions for improving cost efficiency, A system that includes this.

2. The system according to claim 1, wherein information processing resources are provisioned using the application programming interface of a cloud service provider.

3. The system according to claim 1, which periodically applies security updates in order to manage the security of the information processing system.

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