system

Abstract

To provide a system. 【Solution means】 Means for providing an information reception device for a user to input project information, Means for storing the input project information in a storage device and performing collation, Means for automatically generating business documents using a template based on the stored information, Means for searching past business data and extracting similar examples, Means for generating an analysis report by combining current business information and past business knowledge, Means for providing the generated documents and reports to the user, Means for enabling information input at the site and confirmation of automatically generated documents using a portable information terminal, Means for analyzing past business data using a machine learning model and providing useful knowledge related to current business, Means for outputting information and presenting an analysis report via a human operation device, A system including the above.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] To eliminate unfamiliarity and anxiety regarding the organization's culture, procedures, and document creation that new or mid-career project managers face from project startup to the planning phase, and to effectively utilize past project knowledge to improve the efficiency of project preparation work. Also, to reduce the burden that occurs during the preparation of project materials and knowledge utilization, and to provide an environment where new and mid-career members can work on their tasks with confidence.

Means for Solving the Problems

[0005] This project management support system provides an interface for users to easily record and save project information. The system utilizes a template engine to automatically arrange input data within a specified format, streamlining the creation of project documents. Furthermore, it has a function to search for similar projects using a past project database, extract relevant case studies and knowledge, and generate analytical reports. This provides an environment where new and mid-career project managers can confidently manage projects.

[0006] A "user interface" is a software or hardware component that provides a screen or means of operation for a user to access a system and input or verify data.

[0007] A "template" is a set of pre-defined data used to organize information in a predetermined format and style, and to efficiently create standardized documents and materials.

[0008] A "database" is a collection of information designed to efficiently store, search, and update structured data.

[0009] "Project documents" are documents and reports that contain information related to the planning, progress, and management of a project, and include information essential for the successful execution of the project.

[0010] A "similar project" refers to a past project that has similar objectives, methods, or target subjects to the current project, and is therefore subject to comparison and analysis.

[0011] An "analysis report" is a document that compiles conclusions and recommendations based on collected data and information.

[0012] "Validation" is the process of checking the accuracy, consistency, and completeness of entered data, and identifying any errors or deficiencies. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0014] 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.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] 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).

[0020] 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."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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".

[0034] This invention is embodied as a project management support system, and realizes the following functions: an interface for users to input project information, data processing, automatic generation of documents using templates, knowledge referencing of past projects, and automatic report generation.

[0035] This system is configured so that the user's terminal and the server communicate via a network. The user operates the terminal to input project-related information (e.g., project name, purpose, schedule, budget, etc.). The terminal sends this information to the server, which stores it in a database. During storage, validation processing is performed to check the accuracy and consistency of the input data.

[0036] Based on the information received from the user, the server uses a template engine to automatically generate project kickoff materials and WBS according to a specified format. During this process, data is appropriately embedded in the templates, and the materials are provided to the user in a complete and finished form.

[0037] The server also searches a database of past projects and extracts similar projects related to the current project. Based on this, the server uses an AI model to extract useful insights and compiles them into an analysis report. The generated report includes suggestions for project success and provides valuable information for the user.

[0038] As a concrete example, consider a newly appointed project manager planning an IT project. The user inputs the necessary project information into a terminal, and the server automatically generates documents based on this information. Optimal approaches and risk management examples derived from past IT projects are compiled into a report by AI and presented to the user. This allows the new project manager to effectively obtain the information necessary for project progress and prepare for project success.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The user logs into their device and opens the project information input screen. The user enters the necessary information such as project name, purpose, start date, end date, and budget, and then presses the submit button.

[0042] Step 2:

[0043] The terminal sends user input data to the server. During this process, the data is converted to a specified format and translated appropriately according to the communication protocol.

[0044] Step 3:

[0045] The server verifies the received data. It performs data integrity checks and validation, generates error messages if there are any problems, and sends them back to the terminal. Data that passes validation is securely stored in the database.

[0046] Step 4:

[0047] The server uses stored data to launch a template engine, which automatically generates project kickoff materials and WBS. The template engine arranges the input data into the appropriate sections, creating a complete document.

[0048] Step 5:

[0049] The server searches past project data and extracts projects similar to the current project from the database. The server uses an AI model to analyze the extracted project examples.

[0050] Step 6:

[0051] The server integrates current project information with past project knowledge to generate an analysis report. The report includes risks to consider and recommended control methods, providing concrete insights for project success.

[0052] Step 7:

[0053] The server sends the generated project documents and analysis reports to the user's terminal. The documents and reports are provided in PDF or other digital formats, which the user can review and modify as needed.

[0054] (Example 1)

[0055] 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."

[0056] This aims to address the lack of efficient and accurate information input and the generation of appropriate documents and reports in project planning and management. It also aims to overcome the challenge of leveraging past project knowledge to provide concrete suggestions for project success.

[0057] 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.

[0058] In this invention, the server includes means for providing an input / output device for the user to input planning information, means for storing the input planning information in a storage device and verifying its integrity, and means for automatically generating planning documents using a template based on the stored data. This makes it possible to efficiently collect project information and generate accurate documents. Furthermore, by utilizing past data to provide relevant insights, it can contribute to the success of new projects.

[0059] An "input / output device" is a device that provides an interface for users to input information or receive output from a system.

[0060] A "storage device" is a device for permanently storing data and can efficiently manage various types of data.

[0061] "Verifying consistency" is the process of confirming that the entered data is logically coherent and maintains consistency.

[0062] A "template" refers to a document or material template that is generated according to a specific format, and it is a framework that makes it easier to organize data.

[0063] "Planning documents" refer to documents that compile information about a project or plan, and are used for information sharing and decision-making among stakeholders.

[0064] "Historical data" refers to a collection of information about previous projects and plans, which is used to help make current decisions and predictions.

[0065] "Insights" refer to knowledge and experience-based insights that are useful in solving specific problems or challenges.

[0066] An "analysis report" is a document that summarizes the results and conclusions drawn from data analysis, and is used as a basis for decision-making and planning.

[0067] A "digital format" is a format in which information is recorded and transmitted as electronic data, and can be easily handled by computers and digital media.

[0068] "Consistency verification" refers to the process of checking that data is free from missing or inconsistent information.

[0069] "When an error is discovered" refers to a situation where it is found that some kind of malfunction or inconsistency occurred during the data entry or processing process.

[0070] This invention is embodied as a system for improving the efficiency of project management. The user first uses a terminal to input planning information, such as project name, objective, schedule, and budget. The terminal's interface displays a form for inputting information, through which the user can enter data.

[0071] The entered planning information is sent to the server via the network. The server first verifies the integrity of the received data and performs error checking and data format validation as needed. Once this process is complete, the server saves the organized data to its storage device.

[0072] Next, the server uses a template engine to automatically generate planning documents based on the information entered by the user. This template engine appropriately embeds the user's input data into a template, generating a document in a specified format. As a result, the user can receive the completed document.

[0073] Furthermore, the server searches past planning data and extracts similar cases related to the current project. It utilizes generative AI models to generate useful insights and recommendations, which are then compiled into an analysis report. This analysis report can provide users with new insights.

[0074] A concrete example is when a newly appointed project manager is creating a plan for a new information technology-related project. In this scenario, the user inputs the necessary information using a terminal, and the server automatically generates the plan document and analysis report. An example of a prompt message might be, "I would like to know about successful case studies and best practices for risk management in new information technology projects. Please provide an automatically generated report using historical data."

[0075] This invention allows users to quickly and efficiently obtain valuable information related to their projects, enabling them to prepare for project success.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] The user uses a terminal to input project planning information. The terminal interface has an input form where the user enters necessary information such as project name, purpose, schedule, and budget. This becomes the input data, which is sent to the server when the user presses the "Send" button on the terminal.

[0079] Step 2:

[0080] The server verifies the integrity of the received information. Specifically, it performs validation on the input data, checking whether all required fields are filled in and whether the data format is appropriate. If integrity is confirmed, the data is saved to storage. If inconsistencies are found, an error message is generated and sent back to the terminal requesting correction.

[0081] Step 3:

[0082] The server uses a template engine to generate planning documents based on saved data. Here, by filling in information into pre-configured templates, documents such as project kickoff materials and WBS are created. The generated documents are provided to the user in digital format. A download link for the PDF document is displayed on the device, allowing the user to download it.

[0083] Step 4:

[0084] The server searches past project data in its storage and extracts similar cases. Using a generative AI model, it analyzes this data and generates an analytical report containing insights and recommendations useful for the current project. This analytical report includes information such as past success stories and best practices for risk management.

[0085] Step 5:

[0086] Users can receive analysis reports provided through their devices. This allows users to obtain valuable information when implementing new plans and effectively formulate strategies for project success. A specific example of a prompt might be, "I want to know about successful case studies and best practices for risk management in new information technology projects. Please provide an automatically generated report using historical data."

[0087] (Application Example 1)

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

[0089] In on-site project management, the creation of necessary documents and the collection of information are often done manually, resulting in inefficiency and a high risk of human error. Furthermore, the inability to effectively utilize knowledge gained from past projects hinders project success. This can lead to delays in project progress and wasted resources.

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

[0091] In this invention, the server includes means for on-site information input and confirmation of automatically generated documents using a portable information terminal, means for analyzing past business data using a machine learning model and providing useful knowledge related to current operations, and means for outputting information and presenting analysis reports via a human-operated device. This improves the efficiency of project management and enables rapid automatic generation of business documents and extraction of insights from past cases, thereby increasing the success rate of projects.

[0092] An "information receiving device" is an interface used by users to input information related to a project.

[0093] A "storage device" refers to a database that stores entered information and performs matching and searching as needed.

[0094] A "template" is a template used when automatically generating project documents, providing a predetermined format and content.

[0095] "Business data" refers to information and records related to past projects, and is data used to obtain similar examples and insights.

[0096] An "analysis report" is a report generated based on current project information and past operational knowledge, and includes analysis and suggestions for project success.

[0097] A "portable information terminal" refers to a portable device used on-site for inputting project information and checking documents.

[0098] A "machine learning model" is an algorithm that learns patterns from data, analyzes past business data, and provides useful knowledge relevant to the current project.

[0099] A "human-operated device" refers to a device used for inputting and outputting information and presenting reports between the user and the system.

[0100] The system implementing this invention is an advanced system for efficient project management. Users can input project-related information on-site using a mobile device. This information is transmitted to a server via an information receiving device. The server stores the input information in a storage device and performs verification to ensure the accuracy of the information. Based on the stored information, the system has a function to automatically generate business documents using templates.

[0101] Furthermore, the server can search past business data and extract similar examples. Machine learning models are used to analyze this data, providing valuable insights relevant to current operations. The analyzed information is presented to the user as an analysis report via a human-operated device. This allows users to quickly obtain information useful for project management.

[0102] As a concrete example, when proposing a risk management method for a new sports stadium construction project, the user inputs project information, and the server analyzes past sports facility data. The analysis results are provided as a report, which the user can use to implement effective risk management.

[0103] An example of a prompt message would be, "Please propose a risk management method for a new sports stadium construction project." The system can then suggest the most appropriate knowledge based on this input.

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] Users input project information using their mobile devices. This input includes detailed data such as project name, objective, schedule, and budget. This input data is processed through an information receiving device and transmitted to the server in a structured format.

[0107] Step 2:

[0108] The server stores the received project information in a storage device. Here, validation processing is performed to ensure the accuracy and integrity of the data. If errors are found, a message is generated to notify the user and prompt them to correct the errors, and this message is delivered to the user's mobile device.

[0109] Step 3:

[0110] Based on the data that has been successfully validated, the server automatically generates business documents using a template. The input data is embedded in the corresponding locations in the template, and a completed document is generated. The generated document is sent to the mobile device in the required format, allowing the user to review it.

[0111] Step 4:

[0112] The server searches past project databases and extracts examples similar to the current project. Keyword search and parameter matching techniques are used to identify highly relevant data. The extracted data is then used as input for further analysis.

[0113] Step 5:

[0114] The server uses a generative AI model to analyze extracted historical business data. This analysis process involves data calculations to identify risks and recommendations related to the current state of the project. As a result of the analysis, valuable insights are compiled into a report.

[0115] Step 6:

[0116] The final generated analysis report is provided to the user via a human-operated device. The report includes specific suggestions for risk management and efficient operation within the project, which the user can then use to move the project forward.

[0117] 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.

[0118] The present invention is implemented in a form in which an emotion engine is integrated into a project management support system. In addition to the function of allowing users to input project information and efficiently create documents while utilizing past project knowledge, this system also has the function of recognizing the user's emotions and dynamically adapting the interface accordingly.

[0119] The system configuration involves communication between the user's terminal and the server via a network, with the server performing central data processing. The user operates an interface on their terminal to input project-related information. The terminal sends the input data to the server, which stores it in a database and performs validation.

[0120] The emotion engine analyzes the user's emotions based on user behavior and voice input obtained from the terminal interface and peripheral devices. The server receives the results of this emotion analysis and adjusts the response on the interface. For example, if the user is feeling stressed, the interface will display soothing colors and guidance, and generate project-related suggestions and support messages.

[0121] As a concrete example, when a user works on a new project plan, they are provided with automatically generated documents based on their input data. If the user repeatedly makes input errors within the system, the emotion engine detects the user's frustration, and the server adjusts the interface to make it easier for the user to operate. This allows the user to use the system with confidence and proceed with project preparations.

[0122] Thus, the present invention combines a system that supports project management with an emotion engine that enhances the user experience, providing an environment in which users can perform their tasks efficiently and comfortably.

[0123] The following describes the processing flow.

[0124] Step 1:

[0125] The user accesses the terminal and the project information input screen is displayed. The user enters details such as the project name, purpose, schedule, and budget, and then presses the submit button.

[0126] Step 2:

[0127] The terminal sends data entered by the user to the server. The terminal converts the data to the specified format and transmits it according to the necessary communication protocol.

[0128] Step 3:

[0129] The server receives the incoming data and performs validation before saving it to the database. If an error is found during validation, the server generates an error message and sends a notification to the terminal.

[0130] Step 4:

[0131] The server confirms and saves the validated data to the database. After the saving process is complete, the template engine is launched to automatically generate project documents.

[0132] Step 5:

[0133] The server searches the database for past project data and extracts examples of similar projects. An AI model is then used to select meaningful knowledge based on this data.

[0134] Step 6:

[0135] The emotion engine analyzes user input and operation data acquired from the terminal to estimate the user's emotional state. Based on the emotional state, the server dynamically changes the interface's response.

[0136] Step 7:

[0137] The server generates an analysis report. The report incorporates project documents and historical knowledge, and includes support messages provided to the user.

[0138] Step 8:

[0139] The server sends project documents and analysis reports generated by the server to the user's terminal. The user can view them and provide feedback as needed.

[0140] (Example 2)

[0141] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0142] Modern project management requires the efficient management of large amounts of information and the rapid provision of improvement suggestions. However, traditional systems often fail to consider user emotions and usability, resulting in inconveniences in project management. Furthermore, users frequently experience input errors and stress, leading to decreased work efficiency.

[0143] 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.

[0144] In this invention, the server includes means for using an analysis device to detect the user's emotions, means for adapting the response of the display device according to the user's emotions, and means for storing and verifying the input basic information in a storage device. This makes it easier for the user to manage projects comfortably, while simultaneously reducing input errors and improving work efficiency.

[0145] A "display device" is a hardware means that allows users to visually confirm and input information.

[0146] A "storage device" is a hardware means that stores input information and keeps it in a format that can be accessed as needed.

[0147] An "analysis device" is a hardware or software means that analyzes data such as user emotions and adjusts the system's response based on that analysis.

[0148] A "template" refers to a standardized format used when automatically generating project documents, and its purpose is to efficiently organize the output information.

[0149] "Verification" is the process of confirming that the entered information is accurate and meets the prescribed standards.

[0150] "Knowledge" refers to information obtained from past project data, intended to provide useful insights for the current project.

[0151] An "analysis report" is a document that presents an evaluation conducted by combining current project information with past knowledge, and the results thereof.

[0152] This invention provides a system that streamlines project management and improves the user experience. The system includes a display device for user input, a storage device for processing and storing this information, and an analysis device for analyzing the user's emotions.

[0153] Specifically, the user uses a display device to input basic project information. For example, this might include the project name, deadline, and required resources. The terminal then sends this information to a storage device, where it is verified and then saved.

[0154] The server automatically generates project documents using templates based on verified information. This process also incorporates past knowledge, creating optimal documents based on similar cases. This includes generating analytical reports based on data from past project successes and failures.

[0155] In terms of emotions, an analysis device connected to the terminal reads the user's voice and facial expression data in real time, and if the user is experiencing stress, it provides assistance functions such as softening the color tone and messages on the display device or simplifying complex operations.

[0156] As a concrete example, if a user repeatedly enters incorrect information for a new project, the server can use data from an analysis device to detect the user's frustration and immediately change the interface to a more user-friendly format. This can improve the user's work efficiency and reduce stress.

[0157] Furthermore, the generative AI model is used to provide additional suggestions for projects, offering users analogies based on data collected from previous projects. An example of a prompt used in this support feature is: "What past projects are similar to your current project?"

[0158] By combining these functions, the present invention provides an environment that allows users to comfortably and efficiently manage their projects.

[0159] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0160] Step 1:

[0161] The user enters basic information into the display device. This input includes project name, start date, end date, and resource requirements. As output, this information is compiled into a dataset that is sent from the terminal to the server.

[0162] Step 2:

[0163] The terminal sends basic information entered by the user to the server. The server receives this dataset and prepares to store it in storage. Next, it validates the input data, checking for any invalid formatting or errors. As output, the validated data is saved to storage.

[0164] Step 3:

[0165] The server automatically generates project documents using templates based on stored information. The server contains verified user information as input. The output is automatically generated documents, which are then transferred to the user in a format they can access. Specifically, it references past data and formats the documents appropriately.

[0166] Step 4:

[0167] The server analyzes the user's emotions through an analysis device. As input, the analysis device connected to the terminal acquires data on the user's voice and facial expressions. Based on this, the server determines the user's emotional state and uses the result to adjust the interface's response. For example, if the user shows signs of frustration, the server might change the color scheme or provide assistance functions.

[0168] Step 5:

[0169] Project suggestions are made using a generative AI model. The server receives the user's project information and past project information as input, and the AI ​​model analyzes them to prepare for outputting further insights and suggestions. For example, the server generates suggestions using the prompt "What were the success factors when you did a similar project?".

[0170] Step 6:

[0171] The server provides the user with the final generated documents and proposals. The user reviews these outputs on a display device and uses them as material for making revisions and improvements for the next project step. As output, the user is provided with improved documents and reports to facilitate project management.

[0172] (Application Example 2)

[0173] 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".

[0174] In project management, there is a need to provide a smoother and more comfortable user experience, addressing issues such as stress and decreased efficiency that users may face. However, conventional systems lack the flexibility to adjust the interface according to the user's emotional state, resulting in insufficient support that meets user needs.

[0175] 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.

[0176] In this invention, the server includes means for detecting the user's emotional state by analyzing the user's voice or operation logs, means for dynamically adjusting the interface according to the emotional state, and means for storing project information in a database and automatically generating project documents using templates. This enables the provision of a comfortable operating environment that responds to the user's emotional state and supports the efficient creation of project documents.

[0177] A "user" refers to an individual or group that uses the system to input and manage project information.

[0178] "Project information" refers to information about data and materials necessary for project management and operation.

[0179] "Interface" refers to the user interface or input method used when a user enters project information.

[0180] A "database" refers to a collection of information used to store project information entered by users and past project knowledge.

[0181] A "template" refers to a predefined format or design used when automatically generating project documents.

[0182] "Past project knowledge" refers to the collection of knowledge and data related to projects that have been accumulated to date.

[0183] An "analysis report" refers to a document that summarizes the results of an analysis based on current project information and past project knowledge.

[0184] "Emotional state" refers to the type and level of emotion that can be detected from user behavior and operation logs.

[0185] A "server" refers to a central computer that processes data received from users and controls various functions of the system.

[0186] "Dynamic adjustment" refers to flexibly changing the interface display and functions according to the user's emotional state and circumstances.

[0187] The system that realizes this invention consists of a user terminal, a server, and a communication network that connects them. The user inputs project information through an interface on the terminal, and this data is transmitted to the server via the network. The server stores the received project information in a database and automatically generates project documents using templates.

[0188] The server runs software using emotion recognition models such as TENSORFLOW® to analyze voice data and operation logs sent from the user's terminal. This analysis identifies the user's emotional state. For example, if stress is detected, the server sends a user-friendly color scheme and simplified screen to the terminal, providing an environment where the user can operate comfortably.

[0189] As a concrete example, imagine a user planning a neighborhood association event who is overwhelmed with work and repeatedly makes mistakes within the system. In this situation, the server detects the user's frustration and displays a suggestion message on the screen such as, "The operation has been simplified, please rest assured," along with a user-friendly interface configuration. This feature allows the user to proceed with project work smoothly while reducing stress.

[0190] An example of a prompt for a generative AI model is, "To ensure the smooth running of neighborhood association events, please consider features for a smartphone app that can alleviate user stress during project planning." This prompt allows the AI ​​to generate specific suggestions and guidelines for improving the user experience.

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

[0192] Step 1:

[0193] The user uses the terminal interface to enter project information. This input data includes information such as task name, due date, and assigned person. This data is temporarily stored in the user's local storage.

[0194] Step 2:

[0195] The terminal sends the entered project information to the server via the network. The transmitted data is stored in the server's database. The server checks the integrity of the received information and performs validation.

[0196] Step 3:

[0197] The server uses a template generation engine to automatically generate project documents from saved project information. In this process, predefined templates and user input data are combined to create standardized documents.

[0198] Step 4:

[0199] When a user performs voice input or interface operations via a device, that data is sent from the device to the server. The server runs a TensorFlow emotion recognition model and analyzes the voice data and operation logs to detect the user's emotional state. The results are output as a real-time evaluation of the user's stress and satisfaction levels.

[0200] Step 5:

[0201] Based on the analysis results, the server dynamically adjusts the interface according to the user's emotional state. For example, if stress is detected, the interface's color scheme is changed to a more subdued tone, and a simplified guidance message is displayed. These adjustments are transmitted to the terminal via the network and reflected to the user as new interface settings.

[0202] Step 6:

[0203] Prompts in the generative AI model are used to create actionable advice and information to support the user's project progress. This information is added to the user-selected template and provided as final project documentation.

[0204] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0205] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0206] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0207] [Second Embodiment]

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

[0209] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0210] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0211] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0212] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0213] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0214] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0215] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0216] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0217] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0218] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0219] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0220] This invention is embodied as a project management support system, and realizes the following functions: an interface for users to input project information, data processing, automatic generation of documents using templates, knowledge referencing of past projects, and automatic report generation.

[0221] This system is configured so that the user's terminal and the server communicate via a network. The user operates the terminal to input project-related information (e.g., project name, purpose, schedule, budget, etc.). The terminal sends this information to the server, which stores it in a database. During storage, validation processing is performed to check the accuracy and consistency of the input data.

[0222] Based on the information received from the user, the server uses a template engine to automatically generate project kickoff materials and WBS according to a specified format. During this process, data is appropriately embedded in the templates, and the materials are provided to the user in a complete and finished form.

[0223] The server also searches a database of past projects and extracts similar projects related to the current project. Based on this, the server uses an AI model to extract useful insights and compiles them into an analysis report. The generated report includes suggestions for project success and provides valuable information for the user.

[0224] As a concrete example, consider a newly appointed project manager planning an IT project. The user inputs the necessary project information into a terminal, and the server automatically generates documents based on this information. Optimal approaches and risk management examples derived from past IT projects are compiled into a report by AI and presented to the user. This allows the new project manager to effectively obtain the information necessary for project progress and prepare for project success.

[0225] The following describes the processing flow.

[0226] Step 1:

[0227] The user logs into their device and opens the project information input screen. The user enters the necessary information such as project name, purpose, start date, end date, and budget, and then presses the submit button.

[0228] Step 2:

[0229] The terminal sends user input data to the server. During this process, the data is converted to a specified format and translated appropriately according to the communication protocol.

[0230] Step 3:

[0231] The server verifies the received data. It performs data integrity checks and validation, generates error messages if there are any problems, and sends them back to the terminal. Data that passes validation is securely stored in the database.

[0232] Step 4:

[0233] The server uses stored data to launch a template engine, which automatically generates project kickoff materials and WBS. The template engine arranges the input data into the appropriate sections, creating a complete document.

[0234] Step 5:

[0235] The server searches past project data and extracts projects similar to the current project from the database. The server uses an AI model to analyze the extracted project examples.

[0236] Step 6:

[0237] The server integrates current project information with past project knowledge to generate an analysis report. The report includes risks to consider and recommended control methods, providing concrete insights for project success.

[0238] Step 7:

[0239] The server sends the generated project documents and analysis reports to the user's terminal. The documents and reports are provided in PDF or other digital formats, which the user can review and modify as needed.

[0240] (Example 1)

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

[0242] This aims to address the lack of efficient and accurate information input and the generation of appropriate documents and reports in project planning and management. It also aims to overcome the challenge of leveraging past project knowledge to provide concrete suggestions for project success.

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

[0244] In this invention, the server includes means for providing an input / output device for the user to input planning information, means for storing the input planning information in a storage device and verifying its integrity, and means for automatically generating planning documents using a template based on the stored data. This makes it possible to efficiently collect project information and generate accurate documents. Furthermore, by utilizing past data to provide relevant insights, it can contribute to the success of new projects.

[0245] An "input / output device" is a device that provides an interface for users to input information or receive output from a system.

[0246] A "storage device" is a device for permanently storing data and can efficiently manage various types of data.

[0247] "Verifying consistency" is the process of confirming that the entered data is logically coherent and maintains consistency.

[0248] A "template" refers to a document or material template that is generated according to a specific format, and it is a framework that makes it easier to organize data.

[0249] "Planning documents" refer to documents that compile information about a project or plan, and are used for information sharing and decision-making among stakeholders.

[0250] "Historical data" refers to a collection of information about previous projects and plans, which is used to help make current decisions and predictions.

[0251] "Insights" refer to knowledge and experience-based insights that are useful in solving specific problems or challenges.

[0252] An "analysis report" is a document that summarizes the results and conclusions drawn from data analysis, and is used as a basis for decision-making and planning.

[0253] A "digital format" is a format in which information is recorded and transmitted as electronic data, and can be easily handled by computers and digital media.

[0254] "Consistency verification" refers to the process of checking that data is free from missing or inconsistent information.

[0255] "When an error is discovered" refers to a situation where it is found that some kind of malfunction or inconsistency occurred during the data entry or processing process.

[0256] This invention is embodied as a system for improving the efficiency of project management. The user first uses a terminal to input planning information, such as project name, objective, schedule, and budget. The terminal's interface displays a form for inputting information, through which the user can enter data.

[0257] The entered planning information is sent to the server via the network. The server first verifies the integrity of the received data and performs error checking and data format validation as needed. Once this process is complete, the server saves the organized data to its storage device.

[0258] Next, the server uses a template engine to automatically generate planning documents based on the information entered by the user. This template engine appropriately embeds the user's input data into a template, generating a document in a specified format. As a result, the user can receive the completed document.

[0259] Furthermore, the server searches past planning data and extracts similar cases related to the current project. It utilizes generative AI models to generate useful insights and recommendations, which are then compiled into an analysis report. This analysis report can provide users with new insights.

[0260] A concrete example is when a newly appointed project manager is creating a plan for a new information technology-related project. In this scenario, the user inputs the necessary information using a terminal, and the server automatically generates the plan document and analysis report. An example of a prompt message might be, "I would like to know about successful case studies and best practices for risk management in new information technology projects. Please provide an automatically generated report using historical data."

[0261] This invention allows users to quickly and efficiently obtain valuable information related to their projects, enabling them to prepare for project success.

[0262] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0263] Step 1:

[0264] The user uses a terminal to input project planning information. The terminal interface has an input form where the user enters necessary information such as project name, purpose, schedule, and budget. This becomes the input data, which is sent to the server when the user presses the "Send" button on the terminal.

[0265] Step 2:

[0266] The server verifies the integrity of the received information. Specifically, it performs validation on the input data, checking whether all required fields are filled in and whether the data format is appropriate. If integrity is confirmed, the data is saved to storage. If inconsistencies are found, an error message is generated and sent back to the terminal requesting correction.

[0267] Step 3:

[0268] The server uses a template engine to generate planning documents based on saved data. Here, by filling in information into pre-configured templates, documents such as project kickoff materials and WBS are created. The generated documents are provided to the user in digital format. A download link for the PDF document is displayed on the device, allowing the user to download it.

[0269] Step 4:

[0270] The server searches past project data in its storage and extracts similar cases. Using a generative AI model, it analyzes this data and generates an analytical report containing insights and recommendations useful for the current project. This analytical report includes information such as past success stories and best practices for risk management.

[0271] Step 5:

[0272] Users can receive analysis reports provided through their devices. This allows users to obtain valuable information when implementing new plans and effectively formulate strategies for project success. A specific example of a prompt might be, "I want to know about successful case studies and best practices for risk management in new information technology projects. Please provide an automatically generated report using historical data."

[0273] (Application Example 1)

[0274] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0275] In on-site project management, the creation of necessary documents and the collection of information are often done manually, resulting in inefficiency and a high risk of human error. Furthermore, the inability to effectively utilize knowledge gained from past projects hinders project success. This can lead to delays in project progress and wasted resources.

[0276] 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.

[0277] In this invention, the server includes means for on-site information input and confirmation of automatically generated documents using a portable information terminal, means for analyzing past business data using a machine learning model and providing useful knowledge related to current operations, and means for outputting information and presenting analysis reports via a human-operated device. This improves the efficiency of project management and enables rapid automatic generation of business documents and extraction of insights from past cases, thereby increasing the success rate of projects.

[0278] The "information reception device" is an interface used by users to input information related to projects.

[0279] The "storage device" refers to a database that stores the input information and performs collation and search as needed.

[0280] The "template" is a template used when automatically generating project materials and provides a specified format and content.

[0281] "Business data" refers to information and records related to past projects and is data for obtaining similar examples and knowledge.

[0282] The "analysis report" is a report generated based on current project information and past business knowledge and includes analysis and proposals for project success.

[0283] The "portable information terminal" refers to a portable device used to input project information and check materials on-site.

[0284] The "machine learning model" is an algorithm that learns patterns from data, analyzes past business data, and provides useful knowledge related to the current project.

[0285] The "human operation device" refers to a device used to input and output information and present reports between users and the system.

[0286] The system for implementing this invention is an advanced system for efficiently managing projects. Users can use a portable information terminal to input information related to projects on-site. This information is transmitted to the server via the information reception device. The server stores the input information in the storage device and performs collation to ensure the accuracy of the information. Based on the stored information, there is a function to automatically generate business materials using a template.

[0287] Furthermore, the server can search past business data and extract similar examples. Machine learning models are used to analyze this data, providing valuable insights relevant to current operations. The analyzed information is presented to the user as an analysis report via a human-operated device. This allows users to quickly obtain information useful for project management.

[0288] As a concrete example, when proposing a risk management method for a new sports stadium construction project, the user inputs project information, and the server analyzes past sports facility data. The analysis results are provided as a report, which the user can use to implement effective risk management.

[0289] An example of a prompt message would be, "Please propose a risk management method for a new sports stadium construction project." The system can then suggest the most appropriate knowledge based on this input.

[0290] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0291] Step 1:

[0292] Users input project information using their mobile devices. This input includes detailed data such as project name, objective, schedule, and budget. This input data is processed through an information receiving device and transmitted to the server in a structured format.

[0293] Step 2:

[0294] The server stores the received project information in a storage device. Here, validation processing is performed to ensure the accuracy and integrity of the data. If errors are found, a message is generated to notify the user and prompt them to correct the errors, and this message is delivered to the user's mobile device.

[0295] Step 3:

[0296] Based on the data that has been successfully validated, the server automatically generates business documents using a template. The input data is embedded in the corresponding locations in the template, and a completed document is generated. The generated document is sent to the mobile device in the required format, allowing the user to review it.

[0297] Step 4:

[0298] The server searches past project databases and extracts examples similar to the current project. Keyword search and parameter matching techniques are used to identify highly relevant data. The extracted data is then used as input for further analysis.

[0299] Step 5:

[0300] The server uses a generative AI model to analyze extracted historical business data. This analysis process involves data calculations to identify risks and recommendations related to the current state of the project. As a result of the analysis, valuable insights are compiled into a report.

[0301] Step 6:

[0302] The final generated analysis report is provided to the user via a human-operated device. The report includes specific suggestions for risk management and efficient operation within the project, which the user can then use to move the project forward.

[0303] 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.

[0304] The present invention is implemented in a form in which an emotion engine is integrated into a project management support system. In addition to the function that allows users to input project information and efficiently create materials while utilizing past project knowledge, this system has a function of recognizing the emotions of users and dynamically adapting the interface accordingly.

[0305] As the system configuration, the user's terminal and the server communicate via a network, and the server performs central data processing. The user operates the interface on the terminal and inputs information related to the project. The terminal transmits the input data to the server, and the server stores it in the database and performs validation.

[0306] The emotion engine analyzes the emotions of the user based on the user's actions and voice inputs obtained from the terminal interface and peripheral devices. The server receives the result of this emotion analysis and adjusts the response on the interface. For example, when the user is feeling stressed, the interface displays a gentle color tone and guidance, and generates proposals and support messages related to the project.

[0307] As a specific example, when the user is working on a new project plan, materials automatically generated based on the input data are provided. If the user repeatedly makes input mistakes within the system, the emotion engine detects the user's impatience, and the server adjusts the interface based on this so that it is easier for the user to operate. As a result, the user can use the system with confidence and proceed with the preparation of the project.

[0308] In this way, the present invention combines a system that supports project management and an emotion engine that improves the user experience, and provides an environment in which users can efficiently and comfortably perform their work.

[0309] The following describes the processing flow.

[0310] Step 1:

[0311] The user accesses the terminal and the project information input screen is displayed. The user enters details such as the project name, purpose, schedule, and budget, and then presses the submit button.

[0312] Step 2:

[0313] The terminal sends data entered by the user to the server. The terminal converts the data to the specified format and transmits it according to the necessary communication protocol.

[0314] Step 3:

[0315] The server receives the incoming data and performs validation before saving it to the database. If an error is found during validation, the server generates an error message and sends a notification to the terminal.

[0316] Step 4:

[0317] The server confirms and saves the validated data to the database. After the saving process is complete, the template engine is launched to automatically generate project documents.

[0318] Step 5:

[0319] The server searches the database for past project data and extracts examples of similar projects. An AI model is then used to select meaningful knowledge based on this data.

[0320] Step 6:

[0321] The emotion engine analyzes user input and operation data acquired from the terminal to estimate the user's emotional state. Based on the emotional state, the server dynamically changes the interface's response.

[0322] Step 7:

[0323] The server generates an analysis report. The report incorporates project documents and historical knowledge, and includes support messages provided to the user.

[0324] Step 8:

[0325] The server sends project documents and analysis reports generated by the server to the user's terminal. The user can view them and provide feedback as needed.

[0326] (Example 2)

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

[0328] Modern project management requires the efficient management of large amounts of information and the rapid provision of improvement suggestions. However, traditional systems often fail to consider user emotions and usability, resulting in inconveniences in project management. Furthermore, users frequently experience input errors and stress, leading to decreased work efficiency.

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

[0330] In this invention, the server includes means for using an analysis device to detect the user's emotions, means for adapting the response of the display device according to the user's emotions, and means for storing and verifying the input basic information in a storage device. This makes it easier for the user to manage projects comfortably, while simultaneously reducing input errors and improving work efficiency.

[0331] A "display device" is a hardware means that allows users to visually confirm and input information.

[0332] A "storage device" is a hardware means that stores input information and keeps it in a format that can be accessed as needed.

[0333] An "analysis device" is a hardware or software means that analyzes data such as user emotions and adjusts the system's response based on that analysis.

[0334] A "template" refers to a standardized format used when automatically generating project documents, and its purpose is to efficiently organize the output information.

[0335] "Verification" is the process of confirming that the entered information is accurate and meets the prescribed standards.

[0336] "Knowledge" refers to information obtained from past project data, intended to provide useful insights for the current project.

[0337] An "analysis report" is a document that presents an evaluation conducted by combining current project information with past knowledge, and the results thereof.

[0338] This invention provides a system that streamlines project management and improves the user experience. The system includes a display device for user input, a storage device for processing and storing this information, and an analysis device for analyzing the user's emotions.

[0339] Specifically, the user uses a display device to input basic project information. For example, this might include the project name, deadline, and required resources. The terminal then sends this information to a storage device, where it is verified and then saved.

[0340] The server automatically generates project documents using templates based on verified information. This process also incorporates past knowledge, creating optimal documents based on similar cases. This includes generating analytical reports based on data from past project successes and failures.

[0341] In terms of emotions, an analysis device connected to the terminal reads the user's voice and facial expression data in real time, and if the user is experiencing stress, it provides assistance functions such as softening the color tone and messages on the display device or simplifying complex operations.

[0342] As a concrete example, if a user repeatedly enters incorrect information for a new project, the server can use data from an analysis device to detect the user's frustration and immediately change the interface to a more user-friendly format. This can improve the user's work efficiency and reduce stress.

[0343] Furthermore, the generative AI model is used to provide additional suggestions for projects, offering users analogies based on data collected from previous projects. An example of a prompt used in this support feature is: "What past projects are similar to your current project?"

[0344] By combining these functions, the present invention provides an environment that allows users to comfortably and efficiently manage their projects.

[0345] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0346] Step 1:

[0347] The user enters basic information into the display device. This input includes project name, start date, end date, and resource requirements. As output, this information is compiled into a dataset that is sent from the terminal to the server.

[0348] Step 2:

[0349] The terminal sends basic information entered by the user to the server. The server receives this dataset and prepares to store it in storage. Next, it validates the input data, checking for any invalid formatting or errors. As output, the validated data is saved to storage.

[0350] Step 3:

[0351] The server automatically generates project documents using templates based on stored information. The server contains verified user information as input. The output is automatically generated documents, which are then transferred to the user in a format they can access. Specifically, it references past data and formats the documents appropriately.

[0352] Step 4:

[0353] The server analyzes the user's emotions through an analysis device. As input, the analysis device connected to the terminal acquires data on the user's voice and facial expressions. Based on this, the server determines the user's emotional state and uses the result to adjust the interface's response. For example, if the user shows signs of frustration, the server might change the color scheme or provide assistance functions.

[0354] Step 5:

[0355] Project suggestions are made using a generative AI model. The server receives the user's project information and past project information as input, and the AI ​​model analyzes them to prepare for outputting further insights and suggestions. For example, the server generates suggestions using the prompt "What were the success factors when you did a similar project?".

[0356] Step 6:

[0357] The server provides the user with the final generated documents and proposals. The user reviews these outputs on a display device and uses them as material for making revisions and improvements for the next project step. As output, the user is provided with improved documents and reports to facilitate project management.

[0358] (Application Example 2)

[0359] 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."

[0360] In project management, there is a need to provide a smoother and more comfortable user experience, addressing issues such as stress and decreased efficiency that users may face. However, conventional systems lack the flexibility to adjust the interface according to the user's emotional state, resulting in insufficient support that meets user needs.

[0361] 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.

[0362] In this invention, the server includes means for detecting the user's emotional state by analyzing the user's voice or operation logs, means for dynamically adjusting the interface according to the emotional state, and means for storing project information in a database and automatically generating project documents using templates. This enables the provision of a comfortable operating environment that responds to the user's emotional state and supports the efficient creation of project documents.

[0363] A "user" refers to an individual or group that uses the system to input and manage project information.

[0364] "Project information" refers to information about data and materials necessary for project management and operation.

[0365] "Interface" refers to the user interface or input method used when a user enters project information.

[0366] A "database" refers to a collection of information used to store project information entered by users and past project knowledge.

[0367] A "template" refers to a predefined format or design used when automatically generating project documents.

[0368] "Past project knowledge" refers to the collection of knowledge and data related to projects that have been accumulated to date.

[0369] An "analysis report" refers to a document that summarizes the results of an analysis based on current project information and past project knowledge.

[0370] "Emotional state" refers to the type and level of emotion that can be detected from user behavior and operation logs.

[0371] A "server" refers to a central computer that processes data received from users and controls various functions of the system.

[0372] "Dynamic adjustment" refers to flexibly changing the interface display and functions according to the user's emotional state and circumstances.

[0373] The system that realizes this invention consists of a user terminal, a server, and a communication network that connects them. The user inputs project information through an interface on the terminal, and this data is transmitted to the server via the network. The server stores the received project information in a database and automatically generates project documents using templates.

[0374] The server runs software using emotion recognition models such as TensorFlow to analyze voice data and operation logs sent from the user's device. This analysis identifies the user's emotional state. For example, if stress is detected, the server sends a user-friendly color scheme and simplified screen to the device, providing a comfortable environment for the user.

[0375] As a concrete example, imagine a user planning a neighborhood association event who is overwhelmed with work and repeatedly makes mistakes within the system. In this situation, the server detects the user's frustration and displays a suggestion message on the screen such as, "The operation has been simplified, please rest assured," along with a user-friendly interface configuration. This feature allows the user to proceed with project work smoothly while reducing stress.

[0376] An example of a prompt for a generative AI model is, "To ensure the smooth running of neighborhood association events, please consider features for a smartphone app that can alleviate user stress during project planning." This prompt allows the AI ​​to generate specific suggestions and guidelines for improving the user experience.

[0377] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0378] Step 1:

[0379] The user uses the terminal interface to enter project information. This input data includes information such as task name, due date, and assigned person. This data is temporarily stored in the user's local storage.

[0380] Step 2:

[0381] The terminal sends the entered project information to the server via the network. The transmitted data is stored in the server's database. The server checks the integrity of the received information and performs validation.

[0382] Step 3:

[0383] The server uses a template generation engine to automatically generate project documents from saved project information. In this process, predefined templates and user input data are combined to create standardized documents.

[0384] Step 4:

[0385] When a user performs voice input or interface operations via a device, that data is sent from the device to the server. The server runs a TensorFlow emotion recognition model and analyzes the voice data and operation logs to detect the user's emotional state. The results are output as a real-time evaluation of the user's stress and satisfaction levels.

[0386] Step 5:

[0387] Based on the analysis results, the server dynamically adjusts the interface according to the user's emotional state. For example, if stress is detected, the interface's color scheme is changed to a more subdued tone, and a simplified guidance message is displayed. These adjustments are transmitted to the terminal via the network and reflected to the user as new interface settings.

[0388] Step 6:

[0389] Prompts in the generative AI model are used to create actionable advice and information to support the user's project progress. This information is added to the user-selected template and provided as final project documentation.

[0390] 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.

[0391] 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.

[0392] 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.

[0393] [Third Embodiment]

[0394] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0395] 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.

[0396] 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).

[0397] 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.

[0398] 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.

[0399] 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).

[0400] 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.

[0401] 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.

[0402] 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.

[0403] 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.

[0404] 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.

[0405] 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".

[0406] This invention is embodied as a project management support system, and realizes the following functions: an interface for users to input project information, data processing, automatic generation of documents using templates, knowledge referencing of past projects, and automatic report generation.

[0407] This system is configured so that the user's terminal and the server communicate via a network. The user operates the terminal to input project-related information (e.g., project name, purpose, schedule, budget, etc.). The terminal sends this information to the server, which stores it in a database. During storage, validation processing is performed to check the accuracy and consistency of the input data.

[0408] Based on the information received from the user, the server uses a template engine to automatically generate project kickoff materials and WBS according to a specified format. During this process, data is appropriately embedded in the templates, and the materials are provided to the user in a complete and finished form.

[0409] The server also searches a database of past projects and extracts similar projects related to the current project. Based on this, the server uses an AI model to extract useful insights and compiles them into an analysis report. The generated report includes suggestions for project success and provides valuable information for the user.

[0410] As a concrete example, consider a newly appointed project manager planning an IT project. The user inputs the necessary project information into a terminal, and the server automatically generates documents based on this information. Optimal approaches and risk management examples derived from past IT projects are compiled into a report by AI and presented to the user. This allows the new project manager to effectively obtain the information necessary for project progress and prepare for project success.

[0411] The following describes the processing flow.

[0412] Step 1:

[0413] The user logs into their device and opens the project information input screen. The user enters the necessary information such as project name, purpose, start date, end date, and budget, and then presses the submit button.

[0414] Step 2:

[0415] The terminal sends user input data to the server. During this process, the data is converted to a specified format and translated appropriately according to the communication protocol.

[0416] Step 3:

[0417] The server verifies the received data. It performs data integrity checks and validation, generates error messages if there are any problems, and sends them back to the terminal. Data that passes validation is securely stored in the database.

[0418] Step 4:

[0419] The server uses stored data to launch a template engine, which automatically generates project kickoff materials and WBS. The template engine arranges the input data into the appropriate sections, creating a complete document.

[0420] Step 5:

[0421] The server searches past project data and extracts projects similar to the current project from the database. The server uses an AI model to analyze the extracted project examples.

[0422] Step 6:

[0423] The server integrates current project information with past project knowledge to generate an analysis report. The report includes risks to consider and recommended control methods, providing concrete insights for project success.

[0424] Step 7:

[0425] The server sends the generated project documents and analysis reports to the user's terminal. The documents and reports are provided in PDF or other digital formats, which the user can review and modify as needed.

[0426] (Example 1)

[0427] 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."

[0428] This aims to address the lack of efficient and accurate information input and the generation of appropriate documents and reports in project planning and management. It also aims to overcome the challenge of leveraging past project knowledge to provide concrete suggestions for project success.

[0429] 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.

[0430] In this invention, the server includes means for providing an input / output device for the user to input planning information, means for storing the input planning information in a storage device and verifying its integrity, and means for automatically generating planning documents using a template based on the stored data. This makes it possible to efficiently collect project information and generate accurate documents. Furthermore, by utilizing past data to provide relevant insights, it can contribute to the success of new projects.

[0431] An "input / output device" is a device that provides an interface for users to input information or receive output from a system.

[0432] A "storage device" is a device for permanently storing data and can efficiently manage various types of data.

[0433] "Verifying consistency" is the process of confirming that the entered data is logically coherent and maintains consistency.

[0434] A "template" refers to a document or material template that is generated according to a specific format, and it is a framework that makes it easier to organize data.

[0435] "Planning documents" refer to documents that compile information about a project or plan, and are used for information sharing and decision-making among stakeholders.

[0436] "Historical data" refers to a collection of information about previous projects and plans, which is used to help make current decisions and predictions.

[0437] "Insights" refer to knowledge and experience-based insights that are useful in solving specific problems or challenges.

[0438] An "analysis report" is a document that summarizes the results and conclusions drawn from data analysis, and is used as a basis for decision-making and planning.

[0439] A "digital format" is a format in which information is recorded and transmitted as electronic data, and can be easily handled by computers and digital media.

[0440] "Consistency verification" refers to the process of checking that data is free from missing or inconsistent information.

[0441] "When an error is discovered" refers to a situation where it is found that some kind of malfunction or inconsistency occurred during the data entry or processing process.

[0442] This invention is embodied as a system for improving the efficiency of project management. The user first uses a terminal to input planning information, such as project name, objective, schedule, and budget. The terminal's interface displays a form for inputting information, through which the user can enter data.

[0443] The entered planning information is sent to the server via the network. The server first verifies the integrity of the received data and performs error checking and data format validation as needed. Once this process is complete, the server saves the organized data to its storage device.

[0444] Next, the server uses a template engine to automatically generate planning documents based on the information entered by the user. This template engine appropriately embeds the user's input data into a template, generating a document in a specified format. As a result, the user can receive the completed document.

[0445] Furthermore, the server searches past planning data and extracts similar cases related to the current project. It utilizes generative AI models to generate useful insights and recommendations, which are then compiled into an analysis report. This analysis report can provide users with new insights.

[0446] A concrete example is when a newly appointed project manager is creating a plan for a new information technology-related project. In this scenario, the user inputs the necessary information using a terminal, and the server automatically generates the plan document and analysis report. An example of a prompt message might be, "I would like to know about successful case studies and best practices for risk management in new information technology projects. Please provide an automatically generated report using historical data."

[0447] This invention allows users to quickly and efficiently obtain valuable information related to their projects, enabling them to prepare for project success.

[0448] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0449] Step 1:

[0450] The user uses a terminal to input project planning information. The terminal interface has an input form where the user enters necessary information such as project name, purpose, schedule, and budget. This becomes the input data, which is sent to the server when the user presses the "Send" button on the terminal.

[0451] Step 2:

[0452] The server verifies the integrity of the received information. Specifically, it performs validation on the input data, checking whether all required fields are filled in and whether the data format is appropriate. If integrity is confirmed, the data is saved to storage. If inconsistencies are found, an error message is generated and sent back to the terminal requesting correction.

[0453] Step 3:

[0454] The server uses a template engine to generate planning documents based on saved data. Here, by filling in information into pre-configured templates, documents such as project kickoff materials and WBS are created. The generated documents are provided to the user in digital format. A download link for the PDF document is displayed on the device, allowing the user to download it.

[0455] Step 4:

[0456] The server searches past project data in its storage and extracts similar cases. Using a generative AI model, it analyzes this data and generates an analytical report containing insights and recommendations useful for the current project. This analytical report includes information such as past success stories and best practices for risk management.

[0457] Step 5:

[0458] Users can receive analysis reports provided through their devices. This allows users to obtain valuable information when implementing new plans and effectively formulate strategies for project success. A specific example of a prompt might be, "I want to know about successful case studies and best practices for risk management in new information technology projects. Please provide an automatically generated report using historical data."

[0459] (Application Example 1)

[0460] 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."

[0461] In on-site project management, the creation of necessary documents and the collection of information are often done manually, resulting in inefficiency and a high risk of human error. Furthermore, the inability to effectively utilize knowledge gained from past projects hinders project success. This can lead to delays in project progress and wasted resources.

[0462] 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.

[0463] In this invention, the server includes means for on-site information input and confirmation of automatically generated documents using a portable information terminal, means for analyzing past business data using a machine learning model and providing useful knowledge related to current operations, and means for outputting information and presenting analysis reports via a human-operated device. This improves the efficiency of project management and enables rapid automatic generation of business documents and extraction of insights from past cases, thereby increasing the success rate of projects.

[0464] An "information receiving device" is an interface used by users to input information related to a project.

[0465] A "storage device" refers to a database that stores entered information and performs matching and searching as needed.

[0466] A "template" is a template used when automatically generating project documents, providing a predetermined format and content.

[0467] "Business data" refers to information and records related to past projects, and is data used to obtain similar examples and insights.

[0468] An "analysis report" is a report generated based on current project information and past operational knowledge, and includes analysis and suggestions for project success.

[0469] A "portable information terminal" refers to a portable device used on-site for inputting project information and checking documents.

[0470] A "machine learning model" is an algorithm that learns patterns from data, analyzes past business data, and provides useful knowledge relevant to the current project.

[0471] A "human-operated device" refers to a device used for inputting and outputting information and presenting reports between the user and the system.

[0472] The system implementing this invention is an advanced system for efficient project management. Users can input project-related information on-site using a mobile device. This information is transmitted to a server via an information receiving device. The server stores the input information in a storage device and performs verification to ensure the accuracy of the information. Based on the stored information, the system has a function to automatically generate business documents using templates.

[0473] Furthermore, the server can search past business data and extract similar examples. Machine learning models are used to analyze this data, providing valuable insights relevant to current operations. The analyzed information is presented to the user as an analysis report via a human-operated device. This allows users to quickly obtain information useful for project management.

[0474] As a concrete example, when proposing a risk management method for a new sports stadium construction project, the user inputs project information, and the server analyzes past sports facility data. The analysis results are provided as a report, which the user can use to implement effective risk management.

[0475] An example of a prompt message would be, "Please propose a risk management method for a new sports stadium construction project." The system can then suggest the most appropriate knowledge based on this input.

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

[0477] Step 1:

[0478] Users input project information using their mobile devices. This input includes detailed data such as project name, objective, schedule, and budget. This input data is processed through an information receiving device and transmitted to the server in a structured format.

[0479] Step 2:

[0480] The server stores the received project information in a storage device. Here, validation processing is performed to ensure the accuracy and integrity of the data. If errors are found, a message is generated to notify the user and prompt them to correct the errors, and this message is delivered to the user's mobile device.

[0481] Step 3:

[0482] Based on the data that has been successfully validated, the server automatically generates business documents using a template. The input data is embedded in the corresponding locations in the template, and a completed document is generated. The generated document is sent to the mobile device in the required format, allowing the user to review it.

[0483] Step 4:

[0484] The server searches past project databases and extracts examples similar to the current project. Keyword search and parameter matching techniques are used to identify highly relevant data. The extracted data is then used as input for further analysis.

[0485] Step 5:

[0486] The server uses a generative AI model to analyze extracted historical business data. This analysis process involves data calculations to identify risks and recommendations related to the current state of the project. As a result of the analysis, valuable insights are compiled into a report.

[0487] Step 6:

[0488] The final generated analysis report is provided to the user via a human-operated device. The report includes specific suggestions for risk management and efficient operation within the project, which the user can then use to move the project forward.

[0489] 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.

[0490] The present invention is implemented in a form in which an emotion engine is integrated into a project management support system. In addition to the function of allowing users to input project information and efficiently create documents while utilizing past project knowledge, this system also has the function of recognizing the user's emotions and dynamically adapting the interface accordingly.

[0491] The system configuration involves communication between the user's terminal and the server via a network, with the server performing central data processing. The user operates an interface on their terminal to input project-related information. The terminal sends the input data to the server, which stores it in a database and performs validation.

[0492] The emotion engine analyzes the user's emotions based on user behavior and voice input obtained from the terminal interface and peripheral devices. The server receives the results of this emotion analysis and adjusts the response on the interface. For example, if the user is feeling stressed, the interface will display soothing colors and guidance, and generate project-related suggestions and support messages.

[0493] As a concrete example, when a user works on a new project plan, they are provided with automatically generated documents based on their input data. If the user repeatedly makes input errors within the system, the emotion engine detects the user's frustration, and the server adjusts the interface to make it easier for the user to operate. This allows the user to use the system with confidence and proceed with project preparations.

[0494] Thus, the present invention combines a system that supports project management with an emotion engine that enhances the user experience, providing an environment in which users can perform their tasks efficiently and comfortably.

[0495] The following describes the processing flow.

[0496] Step 1:

[0497] The user accesses the terminal and the project information input screen is displayed. The user enters details such as the project name, purpose, schedule, and budget, and then presses the submit button.

[0498] Step 2:

[0499] The terminal sends data entered by the user to the server. The terminal converts the data to the specified format and transmits it according to the necessary communication protocol.

[0500] Step 3:

[0501] The server receives the incoming data and performs validation before saving it to the database. If an error is found during validation, the server generates an error message and sends a notification to the terminal.

[0502] Step 4:

[0503] The server confirms and saves the validated data to the database. After the saving process is complete, the template engine is launched to automatically generate project documents.

[0504] Step 5:

[0505] The server searches the database for past project data and extracts examples of similar projects. An AI model is then used to select meaningful knowledge based on this data.

[0506] Step 6:

[0507] The emotion engine analyzes user input and operation data acquired from the terminal to estimate the user's emotional state. Based on the emotional state, the server dynamically changes the interface's response.

[0508] Step 7:

[0509] The server generates an analysis report. The report incorporates project documents and historical knowledge, and includes support messages provided to the user.

[0510] Step 8:

[0511] The server sends project documents and analysis reports generated by the server to the user's terminal. The user can view them and provide feedback as needed.

[0512] (Example 2)

[0513] 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."

[0514] Modern project management requires the efficient management of large amounts of information and the rapid provision of improvement suggestions. However, traditional systems often fail to consider user emotions and usability, resulting in inconveniences in project management. Furthermore, users frequently experience input errors and stress, leading to decreased work efficiency.

[0515] 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.

[0516] In this invention, the server includes means for using an analysis device to detect the user's emotions, means for adapting the response of the display device according to the user's emotions, and means for storing and verifying the input basic information in a storage device. This makes it easier for the user to manage projects comfortably, while simultaneously reducing input errors and improving work efficiency.

[0517] A "display device" is a hardware means that allows users to visually confirm and input information.

[0518] A "storage device" is a hardware means that stores input information and keeps it in a format that can be accessed as needed.

[0519] An "analysis device" is a hardware or software means that analyzes data such as user emotions and adjusts the system's response based on that analysis.

[0520] A "template" refers to a standardized format used when automatically generating project documents, and its purpose is to efficiently organize the output information.

[0521] "Verification" is the process of confirming that the entered information is accurate and meets the prescribed standards.

[0522] "Knowledge" refers to information obtained from past project data, intended to provide useful insights for the current project.

[0523] An "analysis report" is a document that presents an evaluation conducted by combining current project information with past knowledge, and the results thereof.

[0524] This invention provides a system that streamlines project management and improves the user experience. The system includes a display device for user input, a storage device for processing and storing this information, and an analysis device for analyzing the user's emotions.

[0525] Specifically, the user uses a display device to input basic project information. For example, this might include the project name, deadline, and required resources. The terminal then sends this information to a storage device, where it is verified and then saved.

[0526] The server automatically generates project documents using templates based on verified information. This process also incorporates past knowledge, creating optimal documents based on similar cases. This includes generating analytical reports based on data from past project successes and failures.

[0527] In terms of emotions, an analysis device connected to the terminal reads the user's voice and facial expression data in real time, and if the user is experiencing stress, it provides assistance functions such as softening the color tone and messages on the display device or simplifying complex operations.

[0528] As a concrete example, if a user repeatedly enters incorrect information for a new project, the server can use data from an analysis device to detect the user's frustration and immediately change the interface to a more user-friendly format. This can improve the user's work efficiency and reduce stress.

[0529] Furthermore, the generative AI model is used to provide additional suggestions for projects, offering users analogies based on data collected from previous projects. An example of a prompt used in this support feature is: "What past projects are similar to your current project?"

[0530] By combining these functions, the present invention provides an environment that allows users to comfortably and efficiently manage their projects.

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

[0532] Step 1:

[0533] The user enters basic information into the display device. This input includes project name, start date, end date, and resource requirements. As output, this information is compiled into a dataset that is sent from the terminal to the server.

[0534] Step 2:

[0535] The terminal sends basic information entered by the user to the server. The server receives this dataset and prepares to store it in storage. Next, it validates the input data, checking for any invalid formatting or errors. As output, the validated data is saved to storage.

[0536] Step 3:

[0537] The server automatically generates project documents using templates based on stored information. The server contains verified user information as input. The output is automatically generated documents, which are then transferred to the user in a format they can access. Specifically, it references past data and formats the documents appropriately.

[0538] Step 4:

[0539] The server analyzes the user's emotions through an analysis device. As input, the analysis device connected to the terminal acquires data on the user's voice and facial expressions. Based on this, the server determines the user's emotional state and uses the result to adjust the interface's response. For example, if the user shows signs of frustration, the server might change the color scheme or provide assistance functions.

[0540] Step 5:

[0541] Project suggestions are made using a generative AI model. The server receives the user's project information and past project information as input, and the AI ​​model analyzes them to prepare for outputting further insights and suggestions. For example, the server generates suggestions using the prompt "What were the success factors when you did a similar project?".

[0542] Step 6:

[0543] The server provides the user with the final generated documents and proposals. The user reviews these outputs on a display device and uses them as material for making revisions and improvements for the next project step. As output, the user is provided with improved documents and reports to facilitate project management.

[0544] (Application Example 2)

[0545] 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."

[0546] In project management, there is a need to provide a smoother and more comfortable user experience, addressing issues such as stress and decreased efficiency that users may face. However, conventional systems lack the flexibility to adjust the interface according to the user's emotional state, resulting in insufficient support that meets user needs.

[0547] 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.

[0548] In this invention, the server includes means for detecting the user's emotional state by analyzing the user's voice or operation logs, means for dynamically adjusting the interface according to the emotional state, and means for storing project information in a database and automatically generating project documents using templates. This enables the provision of a comfortable operating environment that responds to the user's emotional state and supports the efficient creation of project documents.

[0549] A "user" refers to an individual or group that uses the system to input and manage project information.

[0550] "Project information" refers to information about data and materials necessary for project management and operation.

[0551] "Interface" refers to the user interface or input method used when a user enters project information.

[0552] A "database" refers to a collection of information used to store project information entered by users and past project knowledge.

[0553] A "template" refers to a predefined format or design used when automatically generating project documents.

[0554] "Past project knowledge" refers to the collection of knowledge and data related to projects that have been accumulated to date.

[0555] An "analysis report" refers to a document that summarizes the results of an analysis based on current project information and past project knowledge.

[0556] "Emotional state" refers to the type and level of emotion that can be detected from user behavior and operation logs.

[0557] A "server" refers to a central computer that processes data received from users and controls various functions of the system.

[0558] "Dynamic adjustment" refers to flexibly changing the interface display and functions according to the user's emotional state and circumstances.

[0559] The system that realizes this invention consists of a user terminal, a server, and a communication network that connects them. The user inputs project information through an interface on the terminal, and this data is transmitted to the server via the network. The server stores the received project information in a database and automatically generates project documents using templates.

[0560] The server runs software using emotion recognition models such as TensorFlow to analyze voice data and operation logs sent from the user's device. This analysis identifies the user's emotional state. For example, if stress is detected, the server sends a user-friendly color scheme and simplified screen to the device, providing a comfortable environment for the user.

[0561] As a concrete example, imagine a user planning a neighborhood association event who is overwhelmed with work and repeatedly makes mistakes within the system. In this situation, the server detects the user's frustration and displays a suggestion message on the screen such as, "The operation has been simplified, please rest assured," along with a user-friendly interface configuration. This feature allows the user to proceed with project work smoothly while reducing stress.

[0562] An example of a prompt for a generative AI model is, "To ensure the smooth running of neighborhood association events, please consider features for a smartphone app that can alleviate user stress during project planning." This prompt allows the AI ​​to generate specific suggestions and guidelines for improving the user experience.

[0563] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0564] Step 1:

[0565] The user uses the terminal interface to enter project information. This input data includes information such as task name, due date, and assigned person. This data is temporarily stored in the user's local storage.

[0566] Step 2:

[0567] The terminal sends the entered project information to the server via the network. The transmitted data is stored in the server's database. The server checks the integrity of the received information and performs validation.

[0568] Step 3:

[0569] The server uses a template generation engine to automatically generate project documents from saved project information. In this process, predefined templates and user input data are combined to create standardized documents.

[0570] Step 4:

[0571] When a user performs voice input or interface operations via a device, that data is sent from the device to the server. The server runs a TensorFlow emotion recognition model and analyzes the voice data and operation logs to detect the user's emotional state. The results are output as a real-time evaluation of the user's stress and satisfaction levels.

[0572] Step 5:

[0573] Based on the analysis results, the server dynamically adjusts the interface according to the user's emotional state. For example, if stress is detected, the interface's color scheme is changed to a more subdued tone, and a simplified guidance message is displayed. These adjustments are transmitted to the terminal via the network and reflected to the user as new interface settings.

[0574] Step 6:

[0575] Prompts in the generative AI model are used to create actionable advice and information to support the user's project progress. This information is added to the user-selected template and provided as final project documentation.

[0576] 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.

[0577] 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.

[0578] 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.

[0579] [Fourth Embodiment]

[0580] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0581] 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.

[0582] 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).

[0583] 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.

[0584] 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.

[0585] 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).

[0586] 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.

[0587] 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.

[0588] 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.

[0589] 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.

[0590] 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.

[0591] 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.

[0592] 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".

[0593] This invention is embodied as a project management support system, and realizes the following functions: an interface for users to input project information, data processing, automatic generation of documents using templates, knowledge referencing of past projects, and automatic report generation.

[0594] This system is configured so that the user's terminal and the server communicate via a network. The user operates the terminal to input project-related information (e.g., project name, purpose, schedule, budget, etc.). The terminal sends this information to the server, which stores it in a database. During storage, validation processing is performed to check the accuracy and consistency of the input data.

[0595] Based on the information received from the user, the server uses a template engine to automatically generate project kickoff materials and WBS according to a specified format. During this process, data is appropriately embedded in the templates, and the materials are provided to the user in a complete and finished form.

[0596] The server also searches a database of past projects and extracts similar projects related to the current project. Based on this, the server uses an AI model to extract useful insights and compiles them into an analysis report. The generated report includes suggestions for project success and provides valuable information for the user.

[0597] As a concrete example, consider a newly appointed project manager planning an IT project. The user inputs the necessary project information into a terminal, and the server automatically generates documents based on this information. Optimal approaches and risk management examples derived from past IT projects are compiled into a report by AI and presented to the user. This allows the new project manager to effectively obtain the information necessary for project progress and prepare for project success.

[0598] The following describes the processing flow.

[0599] Step 1:

[0600] The user logs into their device and opens the project information input screen. The user enters the necessary information such as project name, purpose, start date, end date, and budget, and then presses the submit button.

[0601] Step 2:

[0602] The terminal sends user input data to the server. During this process, the data is converted to a specified format and translated appropriately according to the communication protocol.

[0603] Step 3:

[0604] The server verifies the received data. It performs data integrity checks and validation, generates error messages if there are any problems, and sends them back to the terminal. Data that passes validation is securely stored in the database.

[0605] Step 4:

[0606] The server uses stored data to launch a template engine, which automatically generates project kickoff materials and WBS. The template engine arranges the input data into the appropriate sections, creating a complete document.

[0607] Step 5:

[0608] The server searches past project data and extracts projects similar to the current project from the database. The server uses an AI model to analyze the extracted project examples.

[0609] Step 6:

[0610] The server integrates current project information with past project knowledge to generate an analysis report. The report includes risks to consider and recommended control methods, providing concrete insights for project success.

[0611] Step 7:

[0612] The server sends the generated project documents and analysis reports to the user's terminal. The documents and reports are provided in PDF or other digital formats, which the user can review and modify as needed.

[0613] (Example 1)

[0614] 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".

[0615] This aims to address the lack of efficient and accurate information input and the generation of appropriate documents and reports in project planning and management. It also aims to overcome the challenge of leveraging past project knowledge to provide concrete suggestions for project success.

[0616] 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.

[0617] In this invention, the server includes means for providing an input / output device for the user to input planning information, means for storing the input planning information in a storage device and verifying its integrity, and means for automatically generating planning documents using a template based on the stored data. This makes it possible to efficiently collect project information and generate accurate documents. Furthermore, by utilizing past data to provide relevant insights, it can contribute to the success of new projects.

[0618] An "input / output device" is a device that provides an interface for users to input information or receive output from a system.

[0619] A "storage device" is a device for permanently storing data and can efficiently manage various types of data.

[0620] "Verifying consistency" is the process of confirming that the entered data is logically coherent and maintains consistency.

[0621] A "template" refers to a document or material template that is generated according to a specific format, and it is a framework that makes it easier to organize data.

[0622] "Planning documents" refer to documents that compile information about a project or plan, and are used for information sharing and decision-making among stakeholders.

[0623] "Historical data" refers to a collection of information about previous projects and plans, which is used to help make current decisions and predictions.

[0624] "Insights" refer to knowledge and experience-based insights that are useful in solving specific problems or challenges.

[0625] An "analysis report" is a document that summarizes the results and conclusions drawn from data analysis, and is used as a basis for decision-making and planning.

[0626] A "digital format" is a format in which information is recorded and transmitted as electronic data, and can be easily handled by computers and digital media.

[0627] "Consistency verification" refers to the process of checking that data is free from missing or inconsistent information.

[0628] "When an error is discovered" refers to a situation where it is found that some kind of malfunction or inconsistency occurred during the data entry or processing process.

[0629] This invention is embodied as a system for improving the efficiency of project management. The user first uses a terminal to input planning information, such as project name, objective, schedule, and budget. The terminal's interface displays a form for inputting information, through which the user can enter data.

[0630] The entered planning information is sent to the server via the network. The server first verifies the integrity of the received data and performs error checking and data format validation as needed. Once this process is complete, the server saves the organized data to its storage device.

[0631] Next, the server uses a template engine to automatically generate planning documents based on the information entered by the user. This template engine appropriately embeds the user's input data into a template, generating a document in a specified format. As a result, the user can receive the completed document.

[0632] Furthermore, the server searches past planning data and extracts similar cases related to the current project. It utilizes generative AI models to generate useful insights and recommendations, which are then compiled into an analysis report. This analysis report can provide users with new insights.

[0633] A concrete example is when a newly appointed project manager is creating a plan for a new information technology-related project. In this scenario, the user inputs the necessary information using a terminal, and the server automatically generates the plan document and analysis report. An example of a prompt message might be, "I would like to know about successful case studies and best practices for risk management in new information technology projects. Please provide an automatically generated report using historical data."

[0634] This invention allows users to quickly and efficiently obtain valuable information related to their projects, enabling them to prepare for project success.

[0635] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0636] Step 1:

[0637] The user uses a terminal to input project planning information. The terminal interface has an input form where the user enters necessary information such as project name, purpose, schedule, and budget. This becomes the input data, which is sent to the server when the user presses the "Send" button on the terminal.

[0638] Step 2:

[0639] The server verifies the integrity of the received information. Specifically, it performs validation on the input data, checking whether all required fields are filled in and whether the data format is appropriate. If integrity is confirmed, the data is saved to storage. If inconsistencies are found, an error message is generated and sent back to the terminal requesting correction.

[0640] Step 3:

[0641] The server uses a template engine to generate planning documents based on saved data. Here, by filling in information into pre-configured templates, documents such as project kickoff materials and WBS are created. The generated documents are provided to the user in digital format. A download link for the PDF document is displayed on the device, allowing the user to download it.

[0642] Step 4:

[0643] The server searches past project data in its storage and extracts similar cases. Using a generative AI model, it analyzes this data and generates an analytical report containing insights and recommendations useful for the current project. This analytical report includes information such as past success stories and best practices for risk management.

[0644] Step 5:

[0645] Users can receive analysis reports provided through their devices. This allows users to obtain valuable information when implementing new plans and effectively formulate strategies for project success. A specific example of a prompt might be, "I want to know about successful case studies and best practices for risk management in new information technology projects. Please provide an automatically generated report using historical data."

[0646] (Application Example 1)

[0647] 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".

[0648] In on-site project management, the creation of necessary documents and the collection of information are often done manually, resulting in inefficiency and a high risk of human error. Furthermore, the inability to effectively utilize knowledge gained from past projects hinders project success. This can lead to delays in project progress and wasted resources.

[0649] 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.

[0650] In this invention, the server includes means for on-site information input and confirmation of automatically generated documents using a portable information terminal, means for analyzing past business data using a machine learning model and providing useful knowledge related to current operations, and means for outputting information and presenting analysis reports via a human-operated device. This improves the efficiency of project management and enables rapid automatic generation of business documents and extraction of insights from past cases, thereby increasing the success rate of projects.

[0651] An "information receiving device" is an interface used by users to input information related to a project.

[0652] A "storage device" refers to a database that stores entered information and performs matching and searching as needed.

[0653] A "template" is a template used when automatically generating project documents, providing a predetermined format and content.

[0654] "Business data" refers to information and records related to past projects, and is data used to obtain similar examples and insights.

[0655] An "analysis report" is a report generated based on current project information and past operational knowledge, and includes analysis and suggestions for project success.

[0656] A "portable information terminal" refers to a portable device used on-site for inputting project information and checking documents.

[0657] A "machine learning model" is an algorithm that learns patterns from data, analyzes past business data, and provides useful knowledge relevant to the current project.

[0658] A "human-operated device" refers to a device used for inputting and outputting information and presenting reports between the user and the system.

[0659] The system implementing this invention is an advanced system for efficient project management. Users can input project-related information on-site using a mobile device. This information is transmitted to a server via an information receiving device. The server stores the input information in a storage device and performs verification to ensure the accuracy of the information. Based on the stored information, the system has a function to automatically generate business documents using templates.

[0660] Furthermore, the server can search past business data and extract similar examples. Machine learning models are used to analyze this data, providing valuable insights relevant to current operations. The analyzed information is presented to the user as an analysis report via a human-operated device. This allows users to quickly obtain information useful for project management.

[0661] As a concrete example, when proposing a risk management method for a new sports stadium construction project, the user inputs project information, and the server analyzes past sports facility data. The analysis results are provided as a report, which the user can use to implement effective risk management.

[0662] An example of a prompt message would be, "Please propose a risk management method for a new sports stadium construction project." The system can then suggest the most appropriate knowledge based on this input.

[0663] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0664] Step 1:

[0665] Users input project information using their mobile devices. This input includes detailed data such as project name, objective, schedule, and budget. This input data is processed through an information receiving device and transmitted to the server in a structured format.

[0666] Step 2:

[0667] The server stores the received project information in a storage device. Here, validation processing is performed to ensure the accuracy and integrity of the data. If errors are found, a message is generated to notify the user and prompt them to correct the errors, and this message is delivered to the user's mobile device.

[0668] Step 3:

[0669] Based on the data that has been successfully validated, the server automatically generates business documents using a template. The input data is embedded in the corresponding locations in the template, and a completed document is generated. The generated document is sent to the mobile device in the required format, allowing the user to review it.

[0670] Step 4:

[0671] The server searches past project databases and extracts examples similar to the current project. Keyword search and parameter matching techniques are used to identify highly relevant data. The extracted data is then used as input for further analysis.

[0672] Step 5:

[0673] The server uses a generative AI model to analyze extracted historical business data. This analysis process involves data calculations to identify risks and recommendations related to the current state of the project. As a result of the analysis, valuable insights are compiled into a report.

[0674] Step 6:

[0675] The final generated analysis report is provided to the user via a human-operated device. The report includes specific suggestions for risk management and efficient operation within the project, which the user can then use to move the project forward.

[0676] 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.

[0677] The present invention is implemented in a form in which an emotion engine is integrated into a project management support system. In addition to the function of allowing users to input project information and efficiently create documents while utilizing past project knowledge, this system also has the function of recognizing the user's emotions and dynamically adapting the interface accordingly.

[0678] The system configuration involves communication between the user's terminal and the server via a network, with the server performing central data processing. The user operates an interface on their terminal to input project-related information. The terminal sends the input data to the server, which stores it in a database and performs validation.

[0679] The emotion engine analyzes the user's emotions based on user behavior and voice input obtained from the terminal interface and peripheral devices. The server receives the results of this emotion analysis and adjusts the response on the interface. For example, if the user is feeling stressed, the interface will display soothing colors and guidance, and generate project-related suggestions and support messages.

[0680] As a concrete example, when a user works on a new project plan, they are provided with automatically generated documents based on their input data. If the user repeatedly makes input errors within the system, the emotion engine detects the user's frustration, and the server adjusts the interface to make it easier for the user to operate. This allows the user to use the system with confidence and proceed with project preparations.

[0681] Thus, the present invention combines a system that supports project management with an emotion engine that enhances the user experience, providing an environment in which users can perform their tasks efficiently and comfortably.

[0682] The following describes the processing flow.

[0683] Step 1:

[0684] The user accesses the terminal and the project information input screen is displayed. The user enters details such as the project name, purpose, schedule, and budget, and then presses the submit button.

[0685] Step 2:

[0686] The terminal sends data entered by the user to the server. The terminal converts the data to the specified format and transmits it according to the necessary communication protocol.

[0687] Step 3:

[0688] The server receives the incoming data and performs validation before saving it to the database. If an error is found during validation, the server generates an error message and sends a notification to the terminal.

[0689] Step 4:

[0690] The server confirms and saves the validated data to the database. After the saving process is complete, the template engine is launched to automatically generate project documents.

[0691] Step 5:

[0692] The server searches the database for past project data and extracts examples of similar projects. An AI model is then used to select meaningful knowledge based on this data.

[0693] Step 6:

[0694] The emotion engine analyzes user input and operation data acquired from the terminal to estimate the user's emotional state. Based on the emotional state, the server dynamically changes the interface's response.

[0695] Step 7:

[0696] The server generates an analysis report. The report incorporates project documents and historical knowledge, and includes support messages provided to the user.

[0697] Step 8:

[0698] The server sends project documents and analysis reports generated by the server to the user's terminal. The user can view them and provide feedback as needed.

[0699] (Example 2)

[0700] 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".

[0701] Modern project management requires the efficient management of large amounts of information and the rapid provision of improvement suggestions. However, traditional systems often fail to consider user emotions and usability, resulting in inconveniences in project management. Furthermore, users frequently experience input errors and stress, leading to decreased work efficiency.

[0702] 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.

[0703] In this invention, the server includes means for using an analysis device to detect the user's emotions, means for adapting the response of the display device according to the user's emotions, and means for storing and verifying the input basic information in a storage device. This makes it easier for the user to manage projects comfortably, while simultaneously reducing input errors and improving work efficiency.

[0704] A "display device" is a hardware means that allows users to visually confirm and input information.

[0705] A "storage device" is a hardware means that stores input information and keeps it in a format that can be accessed as needed.

[0706] An "analysis device" is a hardware or software means that analyzes data such as user emotions and adjusts the system's response based on that analysis.

[0707] A "template" refers to a standardized format used when automatically generating project documents, and its purpose is to efficiently organize the output information.

[0708] "Verification" is the process of confirming that the entered information is accurate and meets the prescribed standards.

[0709] "Knowledge" refers to information obtained from past project data, intended to provide useful insights for the current project.

[0710] An "analysis report" is a document that presents an evaluation conducted by combining current project information with past knowledge, and the results thereof.

[0711] This invention provides a system that streamlines project management and improves the user experience. The system includes a display device for user input, a storage device for processing and storing this information, and an analysis device for analyzing the user's emotions.

[0712] Specifically, the user uses a display device to input basic project information. For example, this might include the project name, deadline, and required resources. The terminal then sends this information to a storage device, where it is verified and then saved.

[0713] The server automatically generates project documents using templates based on verified information. This process also incorporates past knowledge, creating optimal documents based on similar cases. This includes generating analytical reports based on data from past project successes and failures.

[0714] In terms of emotions, an analysis device connected to the terminal reads the user's voice and facial expression data in real time, and if the user is experiencing stress, it provides assistance functions such as softening the color tone and messages on the display device or simplifying complex operations.

[0715] As a concrete example, if a user repeatedly enters incorrect information for a new project, the server can use data from an analysis device to detect the user's frustration and immediately change the interface to a more user-friendly format. This can improve the user's work efficiency and reduce stress.

[0716] Furthermore, the generative AI model is used to provide additional suggestions for projects, offering users analogies based on data collected from previous projects. An example of a prompt used in this support feature is: "What past projects are similar to your current project?"

[0717] By combining these functions, the present invention provides an environment that allows users to comfortably and efficiently manage their projects.

[0718] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0719] Step 1:

[0720] The user enters basic information into the display device. This input includes project name, start date, end date, and resource requirements. As output, this information is compiled into a dataset that is sent from the terminal to the server.

[0721] Step 2:

[0722] The terminal sends basic information entered by the user to the server. The server receives this dataset and prepares to store it in storage. Next, it validates the input data, checking for any invalid formatting or errors. As output, the validated data is saved to storage.

[0723] Step 3:

[0724] The server automatically generates project documents using templates based on stored information. The server contains verified user information as input. The output is automatically generated documents, which are then transferred to the user in a format they can access. Specifically, it references past data and formats the documents appropriately.

[0725] Step 4:

[0726] The server analyzes the user's emotions through an analysis device. As input, the analysis device connected to the terminal acquires data on the user's voice and facial expressions. Based on this, the server determines the user's emotional state and uses the result to adjust the interface's response. For example, if the user shows signs of frustration, the server might change the color scheme or provide assistance functions.

[0727] Step 5:

[0728] Project suggestions are made using a generative AI model. The server receives the user's project information and past project information as input, and the AI ​​model analyzes them to prepare for outputting further insights and suggestions. For example, the server generates suggestions using the prompt "What were the success factors when you did a similar project?".

[0729] Step 6:

[0730] The server provides the user with the final generated documents and proposals. The user reviews these outputs on a display device and uses them as material for making revisions and improvements for the next project step. As output, the user is provided with improved documents and reports to facilitate project management.

[0731] (Application Example 2)

[0732] 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".

[0733] In project management, there is a need to provide a smoother and more comfortable user experience, addressing issues such as stress and decreased efficiency that users may face. However, conventional systems lack the flexibility to adjust the interface according to the user's emotional state, resulting in insufficient support that meets user needs.

[0734] 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.

[0735] In this invention, the server includes means for detecting the user's emotional state by analyzing the user's voice or operation logs, means for dynamically adjusting the interface according to the emotional state, and means for storing project information in a database and automatically generating project documents using templates. This enables the provision of a comfortable operating environment that responds to the user's emotional state and supports the efficient creation of project documents.

[0736] A "user" refers to an individual or group that uses the system to input and manage project information.

[0737] "Project information" refers to information about data and materials necessary for project management and operation.

[0738] "Interface" refers to the user interface or input method used when a user enters project information.

[0739] A "database" refers to a collection of information used to store project information entered by users and past project knowledge.

[0740] A "template" refers to a predefined format or design used when automatically generating project documents.

[0741] "Past project knowledge" refers to the collection of knowledge and data related to projects that have been accumulated to date.

[0742] An "analysis report" refers to a document that summarizes the results of an analysis based on current project information and past project knowledge.

[0743] "Emotional state" refers to the type and level of emotion that can be detected from user behavior and operation logs.

[0744] A "server" refers to a central computer that processes data received from users and controls various functions of the system.

[0745] "Dynamic adjustment" refers to flexibly changing the interface display and functions according to the user's emotional state and circumstances.

[0746] The system that realizes this invention consists of a user terminal, a server, and a communication network that connects them. The user inputs project information through an interface on the terminal, and this data is transmitted to the server via the network. The server stores the received project information in a database and automatically generates project documents using templates.

[0747] The server runs software using emotion recognition models such as TensorFlow to analyze voice data and operation logs sent from the user's device. This analysis identifies the user's emotional state. For example, if stress is detected, the server sends a user-friendly color scheme and simplified screen to the device, providing a comfortable environment for the user.

[0748] As a concrete example, imagine a user planning a neighborhood association event who is overwhelmed with work and repeatedly makes mistakes within the system. In this situation, the server detects the user's frustration and displays a suggestion message on the screen such as, "The operation has been simplified, please rest assured," along with a user-friendly interface configuration. This feature allows the user to proceed with project work smoothly while reducing stress.

[0749] An example of a prompt for a generative AI model is, "To ensure the smooth running of neighborhood association events, please consider features for a smartphone app that can alleviate user stress during project planning." This prompt allows the AI ​​to generate specific suggestions and guidelines for improving the user experience.

[0750] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0751] Step 1:

[0752] The user uses the terminal interface to enter project information. This input data includes information such as task name, due date, and assigned person. This data is temporarily stored in the user's local storage.

[0753] Step 2:

[0754] The terminal sends the entered project information to the server via the network. The transmitted data is stored in the server's database. The server checks the integrity of the received information and performs validation.

[0755] Step 3:

[0756] The server uses a template generation engine to automatically generate project documents from saved project information. In this process, predefined templates and user input data are combined to create standardized documents.

[0757] Step 4:

[0758] When a user performs voice input or interface operations via a device, that data is sent from the device to the server. The server runs a TensorFlow emotion recognition model and analyzes the voice data and operation logs to detect the user's emotional state. The results are output as a real-time evaluation of the user's stress and satisfaction levels.

[0759] Step 5:

[0760] Based on the analysis results, the server dynamically adjusts the interface according to the user's emotional state. For example, if stress is detected, the interface's color scheme is changed to a more subdued tone, and a simplified guidance message is displayed. These adjustments are transmitted to the terminal via the network and reflected to the user as new interface settings.

[0761] Step 6:

[0762] Prompts in the generative AI model are used to create actionable advice and information to support the user's project progress. This information is added to the user-selected template and provided as final project documentation.

[0763] 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.

[0764] 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.

[0765] 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 robot 414.

[0766] 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.

[0767] 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.

[0768] 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.

[0769] 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.

[0770] 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.

[0771] 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."

[0772] 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.

[0773] 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.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] The following is further disclosed regarding the embodiments described above.

[0785] (Claim 1)

[0786] A means of providing an interface for users to input project information,

[0787] A means of saving the entered project information to a database and performing validation,

[0788] A method for automatically generating project documents using templates based on saved data,

[0789] A method for searching past project data and extracting similar cases,

[0790] A method for generating analytical reports by combining current project information and past project knowledge,

[0791] Means of providing generated materials and reports to users,

[0792] A system that includes this.

[0793] (Claim 2)

[0794] The system according to claim 1, which outputs generated project documents and reports in PDF format or other digital format.

[0795] (Claim 3)

[0796] The system according to claim 1, which provides a user interface that notifies the user and prompts them to correct errors when errors are found during the validation of project information.

[0797] "Example 1"

[0798] (Claim 1)

[0799] Means for providing an input / output device for the user to input planning information,

[0800] A means for saving the entered plan information to a storage device and verifying its consistency,

[0801] A method for automatically generating planning documents using templates based on saved data,

[0802] A means of searching past planning data and extracting similar cases,

[0803] A means of generating an analytical report by combining current planning information and past planning knowledge,

[0804] Means of providing the generated documents and reports to the user,

[0805] A means for automatically documenting input data according to a predetermined structure,

[0806] Based on insights from similar past cases, a means of providing recommendations using generative AI models,

[0807] A system that includes this.

[0808] (Claim 2)

[0809] The system according to claim 1, which outputs generated plan documents and analysis reports in digital format.

[0810] (Claim 3)

[0811] The system according to claim 1, which provides an input / output device that notifies the user and assists in correcting errors when errors are found during the verification of the consistency of planning information.

[0812] "Application Example 1"

[0813] (Claim 1)

[0814] A means for providing an information receiving device for users to input project information,

[0815] A means for storing the input project information in a storage device and performing verification,

[0816] A method for automatically generating business documents using templates based on saved information,

[0817] A means of searching past business data and extracting similar examples,

[0818] A means of generating an analysis report by combining current business information and past business knowledge,

[0819] Means of providing users with generated documents and reports,

[0820] A means of using a mobile information terminal to input information on-site and to check automatically generated documents,

[0821] A means of analyzing past business data using machine learning models to provide useful knowledge related to current business operations,

[0822] A means for outputting information and presenting analysis reports via a human-operated device,

[0823] A system that includes this.

[0824] (Claim 2)

[0825] The system according to claim 1, which outputs generated business documents and reports in electronic format.

[0826] (Claim 3)

[0827] The system according to claim 1, which provides a user interaction device that notifies the user and prompts them to correct an error when an error is found in the verification of business information.

[0828] "Example 2 of combining an emotion engine"

[0829] (Claim 1)

[0830] A means for providing a display device for the user to input basic information,

[0831] A means for storing the input basic information in a storage device and performing verification,

[0832] A method for automatically generating documents using templates based on saved information,

[0833] A means of searching for similar past cases and extracting similar examples,

[0834] A means of generating an analytical report by combining current basic information and past knowledge,

[0835] Means of providing generated materials and reports to users,

[0836] Means of using an analytical device to detect user emotions,

[0837] A means for adapting the display device's response according to the user's emotions,

[0838] A system that includes this.

[0839] (Claim 2)

[0840] The system according to claim 1, which outputs generated materials and reports in electronic document format.

[0841] (Claim 3)

[0842] The system according to claim 1, which provides a display device that notifies the user and prompts them to correct an error when an error is found during the verification of basic information.

[0843] "Application example 2 when combining with an emotional engine"

[0844] (Claim 1)

[0845] A means of providing an interface for users to input project information,

[0846] A means of saving the entered project information to a database and performing validation,

[0847] A method for automatically generating project documents using templates based on saved data,

[0848] A method for searching past project data and extracting similar cases,

[0849] A method for generating analytical reports by combining current project information and past project knowledge,

[0850] Means of providing generated materials and reports to users,

[0851] A means for detecting an emotional state by analyzing the user's voice or operation logs,

[0852] A means of dynamically adjusting the interface according to emotional state,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, which outputs generated project documents and reports in PDF format or other digital format.

[0856] (Claim 3)

[0857] The system according to claim 1, which provides a user interface that notifies the user and prompts them to correct errors when errors are found during the validation of project information. [Explanation of Symbols]

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

Claims

1. A means for providing an information receiving device for users to input project information, A means for storing the input project information in a storage device and performing verification, A method for automatically generating business documents using templates based on saved information, A means of searching past business data and extracting similar examples, A means of generating an analysis report by combining current business information and past business knowledge, Means of providing users with generated documents and reports, A means of using a mobile information terminal to input information on-site and to check automatically generated documents, A means of analyzing past business data using machine learning models to provide useful knowledge related to current business operations, A means for outputting information and presenting analysis reports via a human-operated device, A system that includes this.

2. The system according to claim 1, which outputs generated business documents and reports in electronic format.

3. The system according to claim 1, which provides a user interaction device that notifies the user and prompts them to correct an error when an error is found in the verification of business information.

Images