System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting detailed information on a new project or project; means for analyzing the input information and automatically selecting a necessary department and related members; means for automatically setting and notifying a first meeting schedule to the selected department and members; means for automatically generating a system diagram and milestones of the project; means for arranging a list of the new project or project and classifying similar cases; and means for proposing a new project from the arranged new project.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] When launching a new plan or project within a company, determining the responsible department and members and making initial adjustments is a complex and time-consuming process. The time and effort required for such adjustments not only delays the start of the project, but the selection of the responsible department and members is often influenced by subjective judgment and the influence of superiors. Furthermore, during busy periods, it can be difficult to request work from a specific department, and related departments can be unclear, resulting in oversights. Furthermore, when a large number of new planning projects are brought together, problems arise, such as reduced efficiency due to overlapping of similar projects and new proposals being overlooked. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention provides a means for inputting detailed information about a new plan or project. This means allows users to quickly input the necessary information into the system. It also provides a means for analyzing the input information and automatically selecting the necessary departments and related members. It also incorporates a means for automatically scheduling and notifying the selected departments and members of the first meeting, significantly reducing the time required for coordination. The present invention also includes a means for automatically generating a project organizational chart and milestones, enabling efficient project management. It also includes a means for organizing a list of new plans or projects and classifying similar cases, allowing overlapping plans to be merged and new plans to be proposed. It also includes a means for automatically sending emails to the selected departments and members, and a means for selecting appropriate departments and members based on required skills, providing a system that comprehensively supports project launch.

[0006] "Detailed information about a new plan or project" refers to all information about a new plan or project to be implemented, including its outline, objectives, deadline, necessary resources, required skills, etc.

[0007] "Input means" refers to the interface or tool that allows a user to input detailed information about a new plan or project into the system.

[0008] "Means of analysis" refers to the process or function by which the system automatically analyzes the details of a new plan or project that has been entered and determines the necessary departments and responsible members.

[0009] The "required department" is a department that will take on the central task or role in the execution of the input new plan or project.

[0010] "Relevant members" are employees who belong to the necessary departments and have the skills and knowledge appropriate for the new plan or project.

[0011] "Automatic selection means" refers to a function or algorithm that allows the system to automatically select the necessary departments and related members based on the analysis results.

[0012] The "initial meeting schedule" is the date of the first meeting or discussion regarding a new initiative or project.

[0013] "Notification means" is a function that automatically notifies selected departments and members about meeting schedules and project information.

[0014] A "project organizational chart" is a diagram that visually shows the organizational structure and division of roles of a project.

[0015] A "milestone" is an important intermediate goal or deadline in the execution of a project.

[0016] "Organization means" is a function that categorizes the information entered about new plans or projects and analyzes relevance and overlap.

[0017] "Classification means" is the process or function of grouping similar cases or projects based on organized information.

[0018] "Means of proposal" is a function that generates and presents new ideas and synthesized project proposals from the organized and classified data of new projects.

[0019] "Means for sending email" is a function that allows the system to automatically send email to selected members.

[0020] "Required skills" refer to the specialized knowledge and abilities required to carry out a new plan or project. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0025] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0026] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0027] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] The present invention is a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0043] User enters details

[0044] A user enters detailed information about a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user interface is expected to be an input form or a dialog box.

[0045] Analyzes input information and automatically selects departments and members in charge

[0046] The server receives and analyzes the input information. First, it searches the database for the appropriate department based on the required skills. Next, it selects the relevant departments and members based on the project's characteristics and required skills. The selection process takes into account the resource situation of each department and the skill sets of the members.

[0047] Notifying selected departments and members and setting meeting schedules

[0048] The server automatically sends emails to the selected departments and members. The emails include an overview of the project and the schedule for the first meeting. The system sets the schedule by referencing each member's calendar information, detecting their free time, and selecting the optimal date and time.

[0049] Automatic generation of project structure charts and milestones

[0050] The server automatically generates a project organizational chart. The organizational chart clearly shows the project manager and team members, along with each member's role. In addition, important project milestones are set and the dates for each target are automatically calculated. This makes it easier to visually grasp the progress of the project.

[0051] Organizing new projects and creating new proposals

[0052] The server organizes all new projects and categorizes similar cases. In this process, projects with the same skill sets and objectives are grouped together. Next, new projects are proposed based on this organized information. For example, by combining multiple similar projects, it is possible to generate a project that creates new value.

[0053] Specific examples

[0054] For example, when launching a new marketing strategy, the user enters the title "New Marketing Strategy," a description, deadline, and required skills (marketing, data analysis) into the system. The server then selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as relevant members. The system then automatically sends emails to these members and schedules the first meeting. A project organizational chart is generated, and important milestones (e.g., project kickoff, research completion, strategy draft creation) are set. Furthermore, if there are other similar new plans, the system organizes them and presents a new proposal as one large project. In this way, information is organized and the project is launched efficiently.

[0055] Through these means, the present invention can eliminate the complications that accompany the launch of new plans and projects within a company, and can realize fast and efficient project management.

[0056] The processing flow will be explained below.

[0057] Step 1:

[0058] The user enters the details of a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user uses the input form to enter each item accurately.

[0059] Step 2:

[0060] The server receives the information and stores it in a database, during which it checks the format of the information and makes sure that no necessary information is missing.

[0061] Step 3:

[0062] The server analyzes the input information and searches the database for the appropriate department based on the required skills. For example, if the required skill is "marketing," the marketing department will be selected.

[0063] Step 4:

[0064] The server selects relevant members based on the required skills and the department's resource situation, taking into account each member's skill set and current workload. Once suitable members are selected, a list is generated.

[0065] Step 5:

[0066] The server automatically sends emails to selected members, including a project overview, roles, and the first meeting schedule.

[0067] Step 6:

[0068] The server references each member's calendar information and schedules the initial meeting. It checks the available time slots on the calendars and selects the best date and time when all members can attend.

[0069] Step 7:

[0070] The server automatically generates a project organizational chart, which clearly shows the project manager and team members, along with each member's role.

[0071] Step 8:

[0072] The server sets project milestones, determining important goals and deadlines and registering them in the project management tool.

[0073] Step 9:

[0074] The server sorts all new projects entered and categorizes similar projects, grouping projects based on skill sets and objectives to identify overlaps.

[0075] Step 10:

[0076] The server creates new proposals based on the organized list of new projects. By grouping similar projects together, larger, more effective projects can be proposed.

[0077] This allows for specific processing at each step, enabling the project to be launched quickly and run efficiently.

[0078] Example 1

[0079] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0080] When launching a new plan or project within a company quickly and efficiently, a wide range of complicated tasks are required, such as entering detailed information, selecting the responsible department and personnel, scheduling the first meeting, creating a personnel structure and progress goals, sorting out similar cases, and proposing new plans. There is a demand for centralizing and automating these tasks to significantly reduce time and labor, thereby improving productivity across the entire company.

[0081] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0082] In this invention, the server includes means for inputting detailed information about a new plan or project, means for analyzing the input information and automatically selecting the necessary departments and related personnel, means for automatically setting and notifying the selected departments and personnel of the first meeting date, means for automatically generating a personnel structure chart and progress targets for the project, means for organizing the list of new plans or projects and classifying similar cases, and means for proposing a new plan from the organized new plans. This eliminates the complexity involved in launching new plans or projects within a company and enables fast and efficient project management.

[0083] A "new plan or project" is a new plan or part of a new undertaking that is being launched within a company or organization.

[0084] "Detailed information" is data including information such as the project title, detailed description, deadline, and required skills.

[0085] "Means for inputting" refers to a mechanism for transmitting information from a terminal via a user interface.

[0086] The "means of analysis" is a system that understands the input data and processes it to select the appropriate department or personnel.

[0087] The "selection method" is a mechanism for determining the appropriate department and personnel based on the required skills and characteristics of the project.

[0088] The "means of notification" refers to the means for informing selected departments and personnel of the plans and schedules, and is a system that mainly uses email.

[0089] The "means for automatically setting meeting dates" refers to a system that references each member's calendar and determines the date and time of the meeting based on everyone's free time.

[0090] A "personnel structure diagram" is a diagram that visually shows the roles and positions of each member involved in a project.

[0091] "Progress goals" include targets to be achieved and dates for each phase of the project.

[0092] "Means for organizing the list" refers to a system for classifying multiple new plans and projects and grouping similar items.

[0093] "Means for proposing new plans" is a system that uses organized information to integrate multiple similar plans and create projects that create new value.

[0094] The present invention is a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0095] User enters details

[0096] A user accesses the system's interface using their own terminal (such as a computer or mobile device). The user fills in the input form with details about a new plan or project, including the project title, detailed description, deadline, and required skills. When the user completes the input and clicks the "Submit" button, the terminal sends these details to the server.

[0097] The server analyzes the input information and automatically selects the department and member in charge

[0098] The server analyzes the information received from the user's device. It then inputs the input information into a text analysis algorithm to search a database for the appropriate department based on the required skills and project details. It also selects relevant departments and personnel based on the project's characteristics and required skills. This selection process also takes into account the resource situation of each department and the skill sets of the personnel.

[0099] Server-based notification and meeting schedule setting for selected departments and members

[0100] The server automatically sends a notification email to the selected departments and personnel. This email includes an overview of the project and the date of the first meeting. When setting the meeting date, the server references each member's calendar information, detects everyone's free time, and selects the optimal date and time. The selected date is included in the email, and another notification email is sent.

[0101] Automatic generation of project structure charts and milestones by the server

[0102] The server automatically generates a personnel structure chart for the project based on the information of the selected personnel. This structure chart includes the roles of the project manager and each member. Project progress goals (milestones) are also automatically set, and the dates for each goal are calculated. The generated structure chart and milestones are reflected in the project management system.

[0103] The server organizes new ideas entered and creates new proposals

[0104] The server stores all new projects in a database and then categorizes similar projects. In this process, projects with the same skill set and purpose are grouped together. The server organizes this information and integrates multiple similar projects to propose a new project that creates additional value.

[0105] Examples of concrete examples and prompts

[0106] For example, when launching a "new marketing strategy," the user enters the following into the system: the title "new marketing strategy," a detailed description, the deadline, and the required skills (marketing, data analysis). The server then selects members of the marketing department and data analysis team and sends notification emails to each of them. The first meeting is scheduled for 10:00 a.m. on Monday one week from now, and a personnel structure and milestones for the project are automatically generated. Furthermore, if there are other similar projects, they are organized and a new integrated plan is proposed.

[0107] Prompt Sentence Examples

[0108] "Plan a project to launch a new marketing strategy. The title is 'New Marketing Strategy,' the deadline is within three months, and the required skills are marketing and data analysis. Based on this information, select the responsible department and members, and automatically generate a project personnel structure and progress goals."

[0109] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0110] Step 1:

[0111] A user uses a terminal to input detailed information about a new plan or project. Specifically, the user enters information such as the project title, detailed description, deadline, and required skills into an input form on the user interface. Once the user has completed the input and pressed the "Submit" button, the terminal sends the input information to the server.

[0112] Input: Project details (e.g. title, description, deadline, required skills, etc.)

[0113] Output: The input information is sent to the server

[0114] Step 2:

[0115] The server analyzes the information received from the user. The server inputs the received data into a text analysis algorithm to analyze the required skills and detailed descriptions. Based on the results of this analysis, the server searches the database for the appropriate department in charge. It also selects candidate departments and personnel based on the characteristics of the project and the required skills.

[0116] Input: Project details submitted by the user

[0117] Data processing: Analysis using text analysis algorithms

[0118] Output: List of appropriate departments and personnel

[0119] Step 3:

[0120] The server automatically sends notification emails to the selected departments and personnel. The emails include an overview of the project and the first meeting date. To set the meeting date, the server references each member's calendar information and detects everyone's free time. It then selects the most suitable date and time from the detected free time and sends another email containing that date and time.

[0121] Input: List of candidate departments and personnel, calendar information for each member

[0122] Data processing: Free time detection and meeting scheduling

[0123] Output: Send notification email

[0124] Step 4:

[0125] The server automatically generates a personnel structure chart and progress goals (milestones) for the project. Based on the selected personnel information, the server creates a personnel structure chart for the project and clarifies the role of each member. It also sets project progress goals and automatically calculates the target dates for each. The generated structure chart and progress goals are reflected in the project management system.

[0126] Input: Selected personnel information

[0127] Data processing: Automatic generation of personnel structure charts and milestones

[0128] Output: Reflection in the project management system

[0129] Step 5:

[0130] The server stores all new projects in a database and categorizes similar cases. In this process, projects with similar skill sets and objectives are grouped together. Based on this information, the server integrates multiple similar projects and proposes a new project that creates additional value.

[0131] Input: All new project information

[0132] Data processing: storing data in a database and classifying similar cases

[0133] Output: New project proposal

[0134] (Application example 1)

[0135] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0136] When launching a new plan or project, the series of tasks required, such as inputting and analyzing detailed information, selecting the responsible department and members, notifying them, setting a schedule, and generating organizational charts and milestones, is extremely cumbersome. In particular, for projects involving multiple machines, the need to consider the machine's operating status and skill sets makes efficient project management even more difficult. There is a need for a system that can solve these problems and enable the rapid and efficient launch of projects.

[0137] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0138] In this invention, the server includes means for inputting detailed information about a new plan or project, means for analyzing the input information and automatically selecting the necessary departments and related members and machines, means for automatically setting and notifying the selected departments, members and machines of an initial work schedule, means for automatically generating an organizational chart and milestones for the project, means for organizing the list of new plans or projects and classifying similar cases, and means for proposing a new plan from the organized new plans. This automates the overall work involved in managing individual machines and carrying out projects, enabling projects to be launched and progressed quickly and efficiently.

[0139] "Detailed information" refers to specific information about a new plan or project, such as the title, description, deadline, and required skills.

[0140] A "department" is a division within a company or organization that has specific duties and responsibilities.

[0141] "Members" are individual employees and staff members involved in new plans and projects.

[0142] "Machinery" refers to automated equipment such as robots and production equipment used in project execution.

[0143] A "schedule" refers to the planned tasks and meetings for a project, and includes information such as the date, time, location, and participants.

[0144] An "organizational chart" is a diagram that shows the organizational structure of a project, clarifying the roles and relationships of the project manager and team members.

[0145] A "milestone" is an important milestone or goal for managing the progress of a project, with a specific deadline for achievement.

[0146] "Similar projects" are other projects that have similar objectives and required skills to the new plan or project.

[0147] A "proposal" is a plan for a new project or initiative that will create new value or benefits based on organized information.

[0148] "Notification" means transmitting information to selected departments, members, and machines by means of email or other means.

[0149] Patent specification: detailed description of the invention

[0150] The present invention relates to a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0151] Overall system configuration

[0152] This system involves a series of processes, including the user entering detailed information, analyzing the information and automatically selecting the responsible department, members, and machines, automatically setting and notifying the initial work schedule, automatically generating organizational charts and milestones, and organizing new projects and creating new proposals.

[0153] User enters details

[0154] A user inputs detailed information about a new plan or project into the system from a terminal. This information includes the project title, description, deadline, required skills, etc. The terminal uses an input form or a dialog box as its user interface.

[0155] Analyzes input information and automatically selects responsible departments, members, and machines

[0156] The server receives and analyzes the detailed information sent by the user. This allows it to automatically select the most suitable department and members from a database based on the skill sets required for each project, and then select the appropriate machines. The analysis uses a database system and AI models. For example, the database system records the resource status of each department, the skill sets of members, and the operating status and skill sets of machines.

[0157] As a specific example, in the case of a project to expand a production line for product A, the user enters the title "Product A Line Expansion," the deadline, and the required skills (welding, quality control) into the system. The server receives this information, selects the department and members with the required skills, and then selects the appropriate machines.

[0158] Notification and work schedule setting for selected departments, members and machines

[0159] The server automatically notifies selected departments, members, and machines. This notification includes an overview of the project and a schedule for the initial work. The system sets the schedule by referencing the calendar information of each member and machine to select the optimal date and time. Notifications are sent via email.

[0160] Automatic generation of project structure charts and milestones

[0161] The server automatically generates a project structure chart, which clearly shows the roles and responsibilities of the project manager and each team member, and sets important project milestones and automatically calculates the dates for each goal.

[0162] For example, in a project to expand the production line for product A, major milestones such as the kick-off date, research completion date, and strategy draft creation date are automatically set.

[0163] Organizing new projects and creating new proposals

[0164] The server organizes all new projects entered and categorizes them into projects with the same skill sets and objectives. In this process, similar projects are grouped together and new projects are proposed to create new value.

[0165] Using a generative AI model, you can use prompts like this:

[0166] I have entered the information for the "Product A Line Expansion" project. The deadline is December 31, 2023. The required skills are welding and quality control. Please assign the appropriate robots and workers and generate a project structure chart and milestones.

[0167] In this way, the user can efficiently carry out the work involved in launching a project.

[0168] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0169] Step 1:

[0170] A user enters details about a new initiative or project.

[0171] Input items include the project title, description, deadline, required skills, etc. The user inputs the information using a terminal and sends it to the system.

[0172] Input: Project details (title, description, deadline, required skills)

[0173] Output: Detailed information sent to the system

[0174] Step 2:

[0175] The server receives and analyzes the details sent by the user.

[0176] The analysis uses natural language processing technology to extract the necessary skills and characteristics. Based on the extracted skills, the server automatically selects the most suitable department, members, and machines from the database.

[0177] Input: Details submitted by the user

[0178] Output: List of selected departments, members and machines

[0179] Step 3:

[0180] The server automatically sets the initial work schedule for the selected department, members and machines.

[0181] Specifically, the system references the calendar information of each member and machine, detects available times, and selects the optimal date and time.

[0182] Input: Selected department, member and machine list, calendar information

[0183] Output: Initial work schedule

[0184] Step 4:

[0185] The server notifies selected departments, members, and machines of the schedule.

[0186] Notifications are sent via email outlining the project and the initial work schedule.

[0187] Input: Initial work schedule, selected departments, members and machines

[0188] Output: Email notification sent

[0189] Step 5:

[0190] The server automatically generates a project structure chart and milestones.

[0191] The organizational chart lists the roles of the project manager and team members, as well as the machines they are responsible for, and milestones set dates for each goal.

[0192] Input: Project details, selected departments, members and machines

[0193] Output: Generated organization chart and milestones

[0194] Step 6:

[0195] The server organizes all new projects entered and classifies similar projects.

[0196] Use natural language processing technology to group projects with similar skill sets and objectives.

[0197] Input: All new project information

[0198] Output: A list of organized new projects

[0199] Step 7:

[0200] The server proposes new plans based on the organized information.

[0201] For example, multiple similar projects can be integrated to create a project that creates new value.

[0202] Input: A list of organized new projects

[0203] Output: Proposed new project

[0204] Examples of prompts using generative AI models:

[0205] I have entered the information for the "Product A Line Expansion" project. The deadline is December 31, 2023. The required skills are welding and quality control. Please assign the appropriate robots and workers and generate a project structure chart and milestones.

[0206] This allows data processing and calculation to be carried out smoothly at each step, enabling projects to be launched quickly and efficiently.

[0207] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0208] The present invention combines a system for quickly and efficiently launching new plans and projects with an emotion engine that recognizes the user's emotions. Each component of this system and its specific operation will be described below.

[0209] User input of detailed information and emotion recognition

[0210] A user enters detailed information about a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user uses an input form to accurately fill in each item. At this time, the emotion engine monitors the user's input behavior and recognizes the user's emotional state by analyzing factors such as typing speed, facial recognition camera footage while typing, and keyboard touch strength.

[0211] Analyzes input information and automatically selects departments and members in charge

[0212] The server receives the entered information and stores it in a database. During this process, the format of the entered information is checked to ensure that no necessary information is missing. Next, the emotion engine analyzes the user's emotional state and selects the most appropriate department and member to handle the project based on its attributes. For example, if the user is in a high stress state, the system will prioritize the department with the resources to alleviate the stress.

[0213] Notifying selected departments and members and setting meeting schedules

[0214] The server automatically sends emails to selected departments and members. The emails include information such as project overviews, roles, and the first meeting schedule. At the same time, the emotion engine takes into account the user's emotional state and adjusts the notification content and schedule settings accordingly. For example, if the user shows signs of fatigue, the system may consider delaying the meeting schedule slightly.

[0215] Automatic generation of project structure charts and milestones

[0216] The server automatically generates a project organizational chart. The organizational chart clearly shows the project manager and team members, and describes each member's role. In addition, important project milestones are set and the dates for each target are automatically calculated. This makes it easier to visually grasp the progress of the project.

[0217] Organizing new projects and creating new proposals

[0218] The server organizes all new projects and categorizes similar cases. In this process, projects with the same skill sets and objectives are grouped together. Next, new projects are proposed based on this organized information. For example, by combining multiple similar projects, it is possible to generate a project that creates new value.

[0219] User support using emotion engine

[0220] The emotion engine continuously monitors the user's input and the progress of the project, analyzing the user's emotional state. If it determines that the user is under high stress, it will provide appropriate resources or suggest breaks. The emotion engine also monitors the user's state while the project is in progress, providing support as needed.

[0221] Specific examples

[0222] For example, when launching a new marketing strategy, a user enters the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. The emotion engine analyzes the user's facial expressions and keyboard inputs and determines that the user is somewhat nervous. Based on this information, the server selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as related members. To ease the user's tension, the emotion engine pays special attention to the wording of notification emails and schedules the first meeting for a time when the user is most relaxed. A project organizational chart is generated, and important milestones (e.g., project kickoff, research completion, strategy draft creation) are set. Furthermore, if there are other similar new projects, the system organizes them and proposes them as a single, large-scale project. In this way, information is organized and the project is launched efficiently.

[0223] This allows for specific processing at each step, enabling the project to be managed quickly and efficiently, while also providing appropriate support based on the user's emotional state.

[0224] The processing flow will be explained below.

[0225] Step 1:

[0226] A user enters details of a new plan or project into the system from a terminal. Using an input form, the user enters the project title, details, deadline, required skills, etc. At this time, the emotion engine monitors the user's input behavior (e.g., typing speed, keyboard touch strength, facial expression) and recognizes their emotional state.

[0227] Step 2:

[0228] The server receives the input information and stores it in a database. During this process, the input information is validated to ensure it is in the correct format. The emotion engine also analyzes the collected user emotion data and evaluates the user's current emotional state (e.g., stress level, tension).

[0229] Step 3:

[0230] The server identifies the necessary department based on the input information. Based on the required skills input by the user, it searches the database for the appropriate department (e.g., Marketing Department, IT Department). It also takes into account the evaluation results of the emotion engine, and if the user is feeling stressed, it prioritizes departments with abundant resources and flexible response.

[0231] Step 4:

[0232] The server selects an appropriate member within the identified department, taking into consideration the required skills, the department's resource situation, each member's skill set, and current workload. If the emotion engine evaluates that the user has high interpersonal stress, it will prioritize selecting a member who is good at communicating with the user.

[0233] Step 5:

[0234] The server automatically sends notification emails to the selected members. The emails include information such as the project overview, roles, and the schedule for the first meeting. If the emotion engine determines that consideration is needed for the user, it adjusts the notification content by using softer language.

[0235] Step 6:

[0236] The server references each member's calendar information and schedules the initial meeting. It checks the available time on the calendars and selects the optimal date and time when all members can participate. If the emotion engine detects that the user is feeling tired, it adjusts the start time of the meeting appropriately.

[0237] Step 7:

[0238] The server automatically generates a project organizational chart, which clearly identifies the project manager and team members and describes each member's role. It also sets important milestones and registers them in the project management tool.

[0239] Step 8:

[0240] The server organizes all incoming projects and categorizes similar cases. It groups new projects based on skill sets and objectives, checking for overlaps. The emotion engine considers which types of projects make users feel more stressed and suggests appropriate ways to organize them.

[0241] Step 9:

[0242] The server creates new proposals based on the organized list of new projects. For example, it can combine multiple similar projects to generate large-scale, effective projects. The emotion engine suggests new combinations and ideas that will reduce the user's stress level.

[0243] Examples:

[0244] For example, when launching a new marketing strategy, a user inputs the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. At this time, the emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is somewhat nervous.

[0245] Based on this information, the server selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as related members. To ease the user's tension, the emotion engine pays special attention to the wording of the notification email and schedules the first meeting at a time when the user is most relaxed.

[0246] A project structure chart is generated and important milestones are set (e.g., project kickoff, research completion, strategy drafting). Furthermore, if there are other similar new initiatives, the system organizes them and presents them as a single large-scale project proposal. An emotion engine continuously monitors the user's emotional state and provides support as needed.

[0247] This allows for specific processing at each step, enabling the project to be managed quickly and efficiently, while also providing appropriate support based on the user's emotional state.

[0248] Example 2

[0249] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0250] Launching new plans and projects quickly and efficiently is a key challenge in today's business environment. However, previous systems often proceeded mechanically without considering the user's emotional state. This increased user stress and fatigue, leading to lower productivity. Furthermore, the time required for analyzing input information, selecting relevant departments and members, and setting meeting schedules made efficient project management difficult.

[0251] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for analyzing input information using an emotion engine that recognizes the user's emotional state and automatically selecting the necessary department and related members, means for automatically setting and notifying the selected department and members of the first meeting schedule taking the user's emotional state into consideration, and means for automatically generating a project organizational chart and milestones. This enables the project to be managed quickly and efficiently, and appropriate support to be provided based on the user's emotional state.

[0252] A "new initiative or project" is a new idea or plan that has never existed before, including a detailed plan for carrying it out.

[0253] "Detailed information" is all the information needed to execute the project, such as the project title, description, deadline, required skills, etc.

[0254] The "emotion engine" is a technology that recognizes a user's emotional state by analyzing the user's typing speed, images from a facial recognition camera, and the strength of their keyboard touches.

[0255] "Analyzing" means performing processing to determine appropriate options and actions based on the input information.

[0256] A "department" is a division in a company or organization that is responsible for a specific role or task.

[0257] A "member" is an individual or group that belongs to a particular project or team.

[0258] A "meeting schedule" is a plan that determines the dates and times of meetings necessary to progress a project.

[0259] "Notifying" is the act of making specific information known to relevant parties.

[0260] An "organizational chart" is a diagram that visually shows the organizational structure of a project and the roles of each member.

[0261] A "milestone" is an important turning point or goal that indicates the progress of a project.

[0262] "Organizing" means systematically classifying multiple pieces of information or cases and grouping related items together.

[0263] "Similar projects" are projects or initiatives that share a particular skill set or objective.

[0264] To "propose" is to present a specific idea or plan.

[0265] "Email" means a message sent or received digitally over the Internet.

[0266] "Skills" refer to the abilities and knowledge required to carry out a specific job or task.

[0267] "Support" means providing assistance or help to achieve a specific goal.

[0268] The present invention is a system that combines an emotion engine that recognizes the user's emotional state in order to quickly and efficiently launch new plans and projects. This system is specifically implemented using the hardware and software described below.

[0269] The system begins by having the user enter detailed information about a new plan or project using an input form on the device. The information entered by the user includes the project title, details, deadline, required skills, etc. The device is also equipped with a facial recognition camera and keyboard, through which the user's emotional state is monitored by the emotion engine.

[0270] The server receives the details sent by the user and stores them in a database. Specific software used here includes database management systems such as MySQL and PostgreSQL. The emotion engine then analyzes the user's input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) to recognize the user's emotional state. Technologies used by the emotion engine include OpenCV and TensorFlow.

[0271] The server uses the analysis results of the emotion engine and the input detailed information to automatically select the most appropriate department and member to handle the project based on its attributes. For example, if a user is in a high-stress state, an algorithm is applied to select a department that can alleviate resources. The selected department and member are automatically notified via email. Emails can be sent using the SMTP protocol.

[0272] In parallel, the server automatically generates a project organizational chart and milestones. The organizational chart clearly shows the roles of the project manager and team members, lists each member's tasks, sets important project milestones, and automatically calculates target dates.

[0273] The server also organizes all new projects and categorizes them into similar projects. This process groups projects with similar skill sets and objectives. Based on this, new projects can be proposed. For example, multiple smaller marketing projects can be combined into one larger project.

[0274] The emotion engine continuously monitors the user's input and the progress of the project, analyzing the user's emotional state. For example, if the user is under high stress, it can respond by suggesting a break. The emotion engine also monitors the user's state and provides appropriate support even while the project is in progress.

[0275] As a concrete example, when launching a new marketing strategy, the user inputs the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. At that time, the emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is somewhat nervous. The server selects the marketing department as the responsible department and assigns the relevant members. The emotion engine also gives special consideration to the wording of notification emails and schedules meetings at times when the user is most relaxed.

[0276] Specific prompts for this system include:

[0277] "Enter your plan to launch a new marketing strategy into the system. Required information includes the project title, details, deadline, and required skills. As you enter your plan, the emotional engine monitors your emotional state and automatically selects the best resources for your project."

[0278] In this way, the present invention makes it possible to realize the rapid and efficient management of new plans and projects, and to provide appropriate support based on the user's emotional state.

[0279] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0280] Step 1:

[0281] The user enters detailed information about a new plan or project into the terminal. Input items include the project title, description, deadline, required skills, etc. By entering data into the input form, this information is sent to the server.

[0282] input:

[0283] Project title

[0284] Project Description

[0285] Project Deadline

[0286] Required Skills

[0287] output:

[0288] Details sent to the server

[0289] Step 2:

[0290] The emotion engine monitors the user's typing behavior and recognizes their emotional state. It uses the device's facial recognition camera to capture the user's facial expressions, and also analyzes their typing speed and keyboard touch strength. Based on the analysis results, it can determine whether the user is tense or relaxed, for example.

[0291] input:

[0292] Input speed

[0293] Facial recognition camera footage

[0294] Keyboard touch strength

[0295] output:

[0296] The user's emotional state (e.g., tense, relaxed)

[0297] Step 3:

[0298] The server stores the details received from the user in a database. First, it checks the format of the input and verifies that all required fields are filled in correctly, thereby verifying that no data is missing from the input.

[0299] input:

[0300] Details submitted by the user

[0301] output:

[0302] Information stored in the database

[0303] Step 4:

[0304] The server automatically selects the department and members best suited to the project based on the analysis results of the emotion engine and detailed information provided by the user. For example, if a user is in a high-stress state, it will prioritize the department that can reduce resources.

[0305] input:

[0306] Information stored in the database

[0307] The user's emotional state

[0308] output:

[0309] Selection of the most suitable department and members

[0310] Step 5:

[0311] The server automatically sends notifications via email to selected departments and members, including a project overview, roles, and the first meeting schedule. An emotion engine takes the user's emotional state into account and adjusts the wording of the email and the meeting schedule accordingly.

[0312] input:

[0313] Selection of the most suitable department and members

[0314] The user's emotional state

[0315] output:

[0316] Notification email to selected departments and members

[0317] Step 6:

[0318] The server automatically generates a project structure and milestones, which includes the roles of the project manager and team members, and sets important milestones and target dates.

[0319] input:

[0320] Selection of the most suitable department and members

[0321] output:

[0322] Auto-generated project structure and milestones

[0323] Step 7:

[0324] The server organizes all new projects and categorizes similar projects. This allows projects with the same skill sets and goals to be grouped together. Based on this organized information, new projects are proposed.

[0325] input:

[0326] Multiple new project information stored in the database

[0327] output:

[0328] Classification results of similar projects and proposals for new projects

[0329] Step 8:

[0330] The emotion engine continuously monitors user input and project progress, analyzing the user's emotional state. For users in a high-stress state, it provides appropriate resources and suggests break times to support the progress of the project.

[0331] input:

[0332] User input

[0333] Project Progress

[0334] output:

[0335] Support suggestions based on the user's emotional state

[0336] Through these steps, the system efficiently and quickly advances projects and provides support based on the user's emotional state.

[0337] (Application example 2)

[0338] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0339] Conventional project management systems set work instructions and meeting schedules without considering the user's emotional state, resulting in problems such as reduced work efficiency and increased stress. Furthermore, in factory production management, it was difficult to monitor the status of workers in real time and provide appropriate support immediately. Therefore, a new system is needed to reduce the burden on workers and progress projects efficiently and flexibly.

[0340] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting detailed information about a new plan or project; means for analyzing the input information and recognizing the user's emotional state; means for automatically selecting the necessary departments and related members based on the user's emotional state; means for automatically setting and notifying the selected departments and members of the first meeting schedule based on the user's emotional state; means for automatically generating an organizational chart and milestones for the project; means for organizing the list of new plans or projects and classifying similar cases; means for making new proposals from the organized new plans; and means for workers to receive emotion analysis data in real time. This makes it possible to efficiently manage the progress of a project based on the user's emotional state and provide appropriate support while reducing the burden on workers.

[0341] The "means for inputting detailed information about a new plan or project" is an interface that allows a user to input information about a new project or plan (title, details, deadline, required skills, etc.) into the system.

[0342] The "means for analyzing the input information and recognizing the user's emotional state" refers to an emotion engine that analyzes the user's movements, facial expressions, keyboard typing speed, etc. while inputting information, and estimates the user's emotional state (stress, tension, fatigue, etc.).

[0343] The "means for automatically selecting the necessary department and related members based on the user's emotional state" is an algorithm that automatically selects the most appropriate department and members based on the input information and emotional state.

[0344] "Means for automatically setting and notifying selected departments and members of the first meeting schedule based on the user's emotional state" is a function that sets the first meeting for selected departments and members at the optimal date and time, taking into account the user's emotional state, and notifies them of the schedule.

[0345] The "means for automatically generating the organizational chart and milestones of the project" is a function that automatically creates a configuration chart of the members in charge of the project and important progress goals (milestones) of the project.

[0346] The "means for organizing the list of new plans or projects and classifying similar cases" is an algorithm that organizes the multiple new plans or projects that have been input and classifies those that are highly related.

[0347] The "means for making new proposals from the new plans that have been organized" is a processing function for proposing new plans or projects based on similar cases.

[0348] "Means for workers to receive real-time emotional analysis data" refers to a system that allows workers to obtain analytical data on their emotional state in real time through smart glasses or other devices.

[0349] The present invention is a system for quickly and efficiently launching new plans and projects, and is combined with an emotion engine that recognizes the emotions of users. Specific embodiments of this system will be described in detail below.

[0350] System Configuration

[0351] This system is realized using the following hardware and software.

[0352] Hardware

[0353] 1. Smart Devices:

[0354] Smart glasses (captures workers' facial expressions and movements in real time)

[0355] Computer terminal (where users enter information)

[0356] Server (data processing and storage)

[0357] software

[0358] 1. Emotion Engine:

[0359] Monitors user input behavior and analyzes input speed, facial recognition camera footage, keyboard touch strength, etc.

[0360] 2. Project Management Module:

[0361] Information analysis, selection of appropriate departments and related members, setting of meeting schedules, automatic generation of organizational charts and milestones

[0362] Program processing

[0363] 1. Input capture and sentiment analysis:

[0364] Users use smart devices to input detailed information about new ideas and projects, including the project title, details, deadline, and required skills.

[0365] The emotion engine monitors the user's input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) and analyzes the user's emotional state.

[0366] 2. Analysis of information and selection of responsible department:

[0367] The server receives the input information and stores it in a database.The emotion engine then analyzes the user's emotional state and selects the most appropriate department and team member based on the project's attributes.

[0368] 3. Meeting Schedule and Notification:

[0369] The first meeting schedule is set for the selected departments and members, taking into consideration the user's emotional state, and is automatically notified.

[0370] 4. Automatic generation of project structure charts and milestones:

[0371] The server automatically generates a project organizational chart, clearly indicating the roles of each member, and sets important milestones and automatically calculates the dates for each goal.

[0372] 5. Organizing new projects and creating new proposals:

[0373] The server organizes all new projects and classifies similar cases. Next, it proposes new projects based on the organized information.

[0374] 6. Providing real-time sentiment analysis data:

[0375] Through the smart glasses, workers can obtain real-time analytical data on their emotional state.

[0376] Specific examples

[0377] For example, when entering a task to set up a new production line, the user inputs a title such as "New production line setup," along with details, deadlines, and required skills (e.g., mechanical and electrical skills) into the system. The emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is feeling somewhat burdened. Based on this information, the server selects the appropriate technical department and selects an appropriate engineer. To reduce the user's burden, the emotion engine takes into consideration the wording of the notification email and schedules the first meeting for a time when the user can relax.

[0378] Prompt Sentence Examples

[0379] "Enter a new setup task for your production line. If the emotion engine detects tension, it will reschedule your meeting for a more relaxed time."

[0380] In this way, the system takes into account the user's emotional state, efficiently managing the progress of the project and providing appropriate support while reducing the burden on workers.

[0381] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0382] Step 1:

[0383] A user uses a smart device to input details about a new idea or project, including the project title, details, deadline, and required skills. The device then sends this information to a server, which generates a dataset of the input details as an output.

[0384] Step 2:

[0385] The server first stores the received information in a database. It then parses the input, checks the format, and verifies that no necessary information is missing. This stage involves a data validation process to ensure that the information entered is accurate and complete. The output is a validated information dataset.

[0386] Step 3:

[0387] The server monitors input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) to recognize the user's emotional state using an emotion engine. The emotion engine analyzes these data and estimates the user's emotional state (e.g., tension, stress, fatigue). The output is analytical data about the user's emotional state.

[0388] Step 4:

[0389] The server automatically selects the most suitable department and members according to the project attributes based on the analyzed information and the user's emotional state. This recommendation system makes the optimal selection taking into account the project content and the user's emotional state. As an output, a list of selected departments and members is generated.

[0390] Step 5:

[0391] The server automatically schedules the first meeting for the selected department and members. This schedule takes into account the user's emotional state and selects an appropriate time slot. The generative AI model adjusts the meeting schedule. The output is the configured meeting schedule.

[0392] Step 6:

[0393] After setting the meeting schedule, the server notifies the selected departments and members. The notification method is to automatically send emails. As an output, a notification email of the meeting schedule is generated and sent.

[0394] Step 7:

[0395] The server automatically generates a project organizational chart, which clearly defines the roles of the project manager and team members and lists each member's area of ​​responsibility. It also sets important milestones and automatically calculates the dates for each target. The output is a project organizational chart and a list of milestones.

[0396] Step 8:

[0397] The server organizes the list of new plans and projects and categorizes similar cases. Here, multiple new plans are grouped. This organization makes it easier to search and manage similar cases. The output is an organized list of new plans.

[0398] Step 9:

[0399] The server then makes new proposals based on the organized new project data. In this process, multiple similar projects are combined to generate projects that create new value. The output is a list of new proposals.

[0400] Step 10:

[0401] Through the smart glasses, workers receive real-time emotional analysis data, which allows them to understand their emotional state and take steps to relax if necessary. The output is the emotional analysis data provided to the workers.

[0402] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0403] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0404] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0405] [Second embodiment]

[0406] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0407] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0408] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0409] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0410] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0411] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0412] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0413] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0414] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0415] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0416] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0417] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0418] The present invention is a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0419] User enters details

[0420] A user enters detailed information about a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user interface is expected to be an input form or a dialog box.

[0421] Analyzes input information and automatically selects departments and members in charge

[0422] The server receives and analyzes the input information. First, it searches the database for the appropriate department based on the required skills. Next, it selects the relevant departments and members based on the project's characteristics and required skills. The selection process takes into account the resource situation of each department and the skill sets of the members.

[0423] Notifying selected departments and members and setting meeting schedules

[0424] The server automatically sends emails to the selected departments and members. The emails include an overview of the project and the schedule for the first meeting. The system sets the schedule by referencing each member's calendar information, detecting their free time, and selecting the optimal date and time.

[0425] Automatic generation of project structure charts and milestones

[0426] The server automatically generates a project organizational chart. The organizational chart clearly shows the project manager and team members, along with each member's role. In addition, important project milestones are set and the dates for each target are automatically calculated. This makes it easier to visually grasp the progress of the project.

[0427] Organizing new projects and creating new proposals

[0428] The server organizes all new projects and categorizes similar cases. In this process, projects with the same skill sets and objectives are grouped together. Next, new projects are proposed based on this organized information. For example, by combining multiple similar projects, it is possible to generate a project that creates new value.

[0429] Specific examples

[0430] For example, when launching a new marketing strategy, the user enters the title "New Marketing Strategy," a description, deadline, and required skills (marketing, data analysis) into the system. The server then selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as relevant members. The system then automatically sends emails to these members and schedules the first meeting. A project organizational chart is generated, and important milestones (e.g., project kickoff, research completion, strategy draft creation) are set. Furthermore, if there are other similar new plans, the system organizes them and presents a new proposal as one large project. In this way, information is organized and the project is launched efficiently.

[0431] Through these means, the present invention can eliminate the complications that accompany the launch of new plans and projects within a company, and can realize fast and efficient project management.

[0432] The processing flow will be explained below.

[0433] Step 1:

[0434] The user enters the details of a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user uses the input form to enter each item accurately.

[0435] Step 2:

[0436] The server receives the information and stores it in a database, during which it checks the format of the information and makes sure that no necessary information is missing.

[0437] Step 3:

[0438] The server analyzes the input information and searches the database for the appropriate department based on the required skills. For example, if the required skill is "marketing," the marketing department will be selected.

[0439] Step 4:

[0440] The server selects relevant members based on the required skills and the department's resource situation, taking into account each member's skill set and current workload. Once suitable members are selected, a list is generated.

[0441] Step 5:

[0442] The server automatically sends emails to selected members, including a project overview, roles, and the first meeting schedule.

[0443] Step 6:

[0444] The server references each member's calendar information and schedules the initial meeting. It checks the available time slots on the calendars and selects the best date and time when all members can attend.

[0445] Step 7:

[0446] The server automatically generates a project organizational chart, which clearly shows the project manager and team members, along with each member's role.

[0447] Step 8:

[0448] The server sets project milestones, determining important goals and deadlines and registering them in the project management tool.

[0449] Step 9:

[0450] The server sorts all new projects entered and categorizes similar projects, grouping projects based on skill sets and objectives to identify overlaps.

[0451] Step 10:

[0452] The server creates new proposals based on the organized list of new projects. By grouping similar projects together, larger, more effective projects can be proposed.

[0453] This allows for specific processing at each step, enabling the project to be launched quickly and run efficiently.

[0454] Example 1

[0455] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0456] When launching a new plan or project within a company quickly and efficiently, a wide range of complicated tasks are required, such as entering detailed information, selecting the responsible department and personnel, scheduling the first meeting, creating a personnel structure and progress goals, sorting out similar cases, and proposing new plans. There is a demand for centralizing and automating these tasks to significantly reduce time and labor, thereby improving productivity across the entire company.

[0457] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0458] In this invention, the server includes means for inputting detailed information about a new plan or project, means for analyzing the input information and automatically selecting the necessary departments and related personnel, means for automatically setting and notifying the selected departments and personnel of the first meeting date, means for automatically generating a personnel structure chart and progress targets for the project, means for organizing the list of new plans or projects and classifying similar cases, and means for proposing a new plan from the organized new plans. This eliminates the complexity involved in launching new plans or projects within a company and enables fast and efficient project management.

[0459] A "new plan or project" is a new plan or part of a new undertaking that is being launched within a company or organization.

[0460] "Detailed information" is data including information such as the project title, detailed description, deadline, and required skills.

[0461] "Means for inputting" refers to a mechanism for transmitting information from a terminal via a user interface.

[0462] The "means of analysis" is a system that understands the input data and processes it to select the appropriate department or personnel.

[0463] The "selection method" is a mechanism for determining the appropriate department and personnel based on the required skills and characteristics of the project.

[0464] The "means of notification" refers to the means for informing selected departments and personnel of the plans and schedules, and is a system that mainly uses email.

[0465] The "means for automatically setting meeting dates" refers to a system that references each member's calendar and determines the date and time of the meeting based on everyone's free time.

[0466] A "personnel structure diagram" is a diagram that visually shows the roles and positions of each member involved in a project.

[0467] "Progress goals" include targets to be achieved and dates for each phase of the project.

[0468] "Means for organizing the list" refers to a system for classifying multiple new plans and projects and grouping similar items.

[0469] "Means for proposing new plans" is a system that uses organized information to integrate multiple similar plans and create projects that create new value.

[0470] The present invention is a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0471] User enters details

[0472] A user accesses the system's interface using their own terminal (such as a computer or mobile device). The user fills in the input form with details about a new plan or project, including the project title, detailed description, deadline, and required skills. When the user completes the input and clicks the "Submit" button, the terminal sends these details to the server.

[0473] The server analyzes the input information and automatically selects the department and member in charge

[0474] The server analyzes the information received from the user's device. It then inputs the input information into a text analysis algorithm to search a database for the appropriate department based on the required skills and project details. It also selects relevant departments and personnel based on the project's characteristics and required skills. This selection process also takes into account the resource situation of each department and the skill sets of the personnel.

[0475] Server-based notification and meeting schedule setting for selected departments and members

[0476] The server automatically sends a notification email to the selected departments and personnel. This email includes an overview of the project and the date of the first meeting. When setting the meeting date, the server references each member's calendar information, detects everyone's free time, and selects the optimal date and time. The selected date is included in the email, and another notification email is sent.

[0477] Automatic generation of project structure charts and milestones by the server

[0478] The server automatically generates a personnel structure chart for the project based on the information of the selected personnel. This structure chart includes the roles of the project manager and each member. Project progress goals (milestones) are also automatically set, and the dates for each goal are calculated. The generated structure chart and milestones are reflected in the project management system.

[0479] The server organizes new ideas entered and creates new proposals

[0480] The server stores all new projects in a database and then categorizes similar projects. In this process, projects with the same skill set and purpose are grouped together. The server organizes this information and integrates multiple similar projects to propose a new project that creates additional value.

[0481] Examples of concrete examples and prompts

[0482] For example, when launching a "new marketing strategy," the user enters the following into the system: the title "new marketing strategy," a detailed description, the deadline, and the required skills (marketing, data analysis). The server then selects members of the marketing department and data analysis team and sends notification emails to each of them. The first meeting is scheduled for 10:00 a.m. on Monday one week from now, and a personnel structure and milestones for the project are automatically generated. Furthermore, if there are other similar projects, they are organized and a new integrated plan is proposed.

[0483] Prompt Sentence Examples

[0484] "Plan a project to launch a new marketing strategy. The title is 'New Marketing Strategy,' the deadline is within three months, and the required skills are marketing and data analysis. Based on this information, select the responsible department and members, and automatically generate a project personnel structure and progress goals."

[0485] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0486] Step 1:

[0487] A user uses a terminal to input detailed information about a new plan or project. Specifically, the user enters information such as the project title, detailed description, deadline, and required skills into an input form on the user interface. Once the user has completed the input and pressed the "Submit" button, the terminal sends the input information to the server.

[0488] Input: Project details (e.g. title, description, deadline, required skills, etc.)

[0489] Output: The input information is sent to the server

[0490] Step 2:

[0491] The server analyzes the information received from the user. The server inputs the received data into a text analysis algorithm to analyze the required skills and detailed descriptions. Based on the results of this analysis, the server searches the database for the appropriate department in charge. It also selects candidate departments and personnel based on the characteristics of the project and the required skills.

[0492] Input: Project details submitted by the user

[0493] Data processing: Analysis using text analysis algorithms

[0494] Output: List of appropriate departments and personnel

[0495] Step 3:

[0496] The server automatically sends notification emails to the selected departments and personnel. The emails include an overview of the project and the first meeting date. To set the meeting date, the server references each member's calendar information and detects everyone's free time. It then selects the most suitable date and time from the detected free time and sends another email containing that date and time.

[0497] Input: List of candidate departments and personnel, calendar information for each member

[0498] Data processing: Free time detection and meeting scheduling

[0499] Output: Send notification email

[0500] Step 4:

[0501] The server automatically generates a personnel structure chart and progress goals (milestones) for the project. Based on the selected personnel information, the server creates a personnel structure chart for the project and clarifies the role of each member. It also sets project progress goals and automatically calculates the target dates for each. The generated structure chart and progress goals are reflected in the project management system.

[0502] Input: Selected personnel information

[0503] Data processing: Automatic generation of personnel structure charts and milestones

[0504] Output: Reflection in the project management system

[0505] Step 5:

[0506] The server stores all new projects in a database and categorizes similar cases. In this process, projects with similar skill sets and objectives are grouped together. Based on this information, the server integrates multiple similar projects and proposes a new project that creates additional value.

[0507] Input: All new project information

[0508] Data processing: storing data in a database and classifying similar cases

[0509] Output: New project proposal

[0510] (Application example 1)

[0511] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0512] When launching a new plan or project, the series of tasks required, such as inputting and analyzing detailed information, selecting the responsible department and members, notifying them, setting a schedule, and generating organizational charts and milestones, is extremely cumbersome. In particular, for projects involving multiple machines, the need to consider the machine's operating status and skill sets makes efficient project management even more difficult. There is a need for a system that can solve these problems and enable the rapid and efficient launch of projects.

[0513] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0514] In this invention, the server includes means for inputting detailed information about a new plan or project, means for analyzing the input information and automatically selecting the necessary departments and related members and machines, means for automatically setting and notifying the selected departments, members and machines of an initial work schedule, means for automatically generating an organizational chart and milestones for the project, means for organizing the list of new plans or projects and classifying similar cases, and means for proposing a new plan from the organized new plans. This automates the overall work involved in managing individual machines and carrying out projects, enabling projects to be launched and progressed quickly and efficiently.

[0515] "Detailed information" refers to specific information about a new plan or project, such as the title, description, deadline, and required skills.

[0516] A "department" is a division within a company or organization that has specific duties and responsibilities.

[0517] "Members" are individual employees and staff members involved in new plans and projects.

[0518] "Machinery" refers to automated equipment such as robots and production equipment used in project execution.

[0519] A "schedule" refers to the planned tasks and meetings for a project, and includes information such as the date, time, location, and participants.

[0520] An "organizational chart" is a diagram that shows the organizational structure of a project, clarifying the roles and relationships of the project manager and team members.

[0521] A "milestone" is an important milestone or goal for managing the progress of a project, with a specific deadline for achievement.

[0522] "Similar projects" are other projects that have similar objectives and required skills to the new plan or project.

[0523] A "proposal" is a plan for a new project or initiative that will create new value or benefits based on organized information.

[0524] "Notification" means transmitting information to selected departments, members, and machines by means of email or other means.

[0525] Patent specification: detailed description of the invention

[0526] The present invention relates to a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0527] Overall system configuration

[0528] This system involves a series of processes, including the user entering detailed information, analyzing the information and automatically selecting the responsible department, members, and machines, automatically setting and notifying the initial work schedule, automatically generating organizational charts and milestones, and organizing new projects and creating new proposals.

[0529] User enters details

[0530] A user inputs detailed information about a new plan or project into the system from a terminal. This information includes the project title, description, deadline, required skills, etc. The terminal uses an input form or a dialog box as its user interface.

[0531] Analyzes input information and automatically selects responsible departments, members, and machines

[0532] The server receives and analyzes the detailed information sent by the user. This allows it to automatically select the most suitable department and members from a database based on the skill sets required for each project, and then select the appropriate machines. The analysis uses a database system and AI models. For example, the database system records the resource status of each department, the skill sets of members, and the operating status and skill sets of machines.

[0533] As a specific example, in the case of a project to expand a production line for product A, the user enters the title "Product A Line Expansion," the deadline, and the required skills (welding, quality control) into the system. The server receives this information, selects the department and members with the required skills, and then selects the appropriate machines.

[0534] Notification and work schedule setting for selected departments, members and machines

[0535] The server automatically notifies selected departments, members, and machines. This notification includes an overview of the project and a schedule for the initial work. The system sets the schedule by referencing the calendar information of each member and machine to select the optimal date and time. Notifications are sent via email.

[0536] Automatic generation of project structure charts and milestones

[0537] The server automatically generates a project structure chart, which clearly shows the roles and responsibilities of the project manager and each team member, and sets important project milestones and automatically calculates the dates for each goal.

[0538] For example, in a project to expand the production line for product A, major milestones such as the kick-off date, research completion date, and strategy draft creation date are automatically set.

[0539] Organizing new projects and creating new proposals

[0540] The server organizes all new projects entered and categorizes them into projects with the same skill sets and objectives. In this process, similar projects are grouped together and new projects are proposed to create new value.

[0541] Using a generative AI model, you can use prompts like this:

[0542] I have entered the information for the "Product A Line Expansion" project. The deadline is December 31, 2023. The required skills are welding and quality control. Please assign the appropriate robots and workers and generate a project structure chart and milestones.

[0543] In this way, the user can efficiently carry out the work involved in launching a project.

[0544] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0545] Step 1:

[0546] A user enters details about a new initiative or project.

[0547] Input items include the project title, description, deadline, required skills, etc. The user inputs the information using a terminal and sends it to the system.

[0548] Input: Project details (title, description, deadline, required skills)

[0549] Output: Detailed information sent to the system

[0550] Step 2:

[0551] The server receives and analyzes the details sent by the user.

[0552] The analysis uses natural language processing technology to extract the necessary skills and characteristics. Based on the extracted skills, the server automatically selects the most suitable department, members, and machines from the database.

[0553] Input: Details submitted by the user

[0554] Output: List of selected departments, members and machines

[0555] Step 3:

[0556] The server automatically sets the initial work schedule for the selected department, members and machines.

[0557] Specifically, the system references the calendar information of each member and machine, detects available times, and selects the optimal date and time.

[0558] Input: Selected department, member and machine list, calendar information

[0559] Output: Initial work schedule

[0560] Step 4:

[0561] The server notifies selected departments, members, and machines of the schedule.

[0562] Notifications are sent via email outlining the project and the initial work schedule.

[0563] Input: Initial work schedule, selected departments, members and machines

[0564] Output: Email notification sent

[0565] Step 5:

[0566] The server automatically generates a project structure chart and milestones.

[0567] The organizational chart lists the roles of the project manager and team members, as well as the machines they are responsible for, and milestones set dates for each goal.

[0568] Input: Project details, selected departments, members and machines

[0569] Output: Generated organization chart and milestones

[0570] Step 6:

[0571] The server organizes all new projects entered and classifies similar projects.

[0572] Use natural language processing technology to group projects with similar skill sets and objectives.

[0573] Input: All new project information

[0574] Output: A list of organized new projects

[0575] Step 7:

[0576] The server proposes new plans based on the organized information.

[0577] For example, multiple similar projects can be integrated to create a project that creates new value.

[0578] Input: A list of organized new projects

[0579] Output: Proposed new project

[0580] Examples of prompts using generative AI models:

[0581] I have entered the information for the "Product A Line Expansion" project. The deadline is December 31, 2023. The required skills are welding and quality control. Please assign the appropriate robots and workers and generate a project structure chart and milestones.

[0582] This allows data processing and calculation to be carried out smoothly at each step, enabling projects to be launched quickly and efficiently.

[0583] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0584] The present invention combines a system for quickly and efficiently launching new plans and projects with an emotion engine that recognizes the user's emotions. Each component of this system and its specific operation will be described below.

[0585] User input of detailed information and emotion recognition

[0586] A user enters detailed information about a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user uses an input form to accurately fill in each item. At this time, the emotion engine monitors the user's input behavior and recognizes the user's emotional state by analyzing factors such as typing speed, facial recognition camera footage while typing, and keyboard touch strength.

[0587] Analyzes input information and automatically selects departments and members in charge

[0588] The server receives the entered information and stores it in a database. During this process, the format of the entered information is checked to ensure that no necessary information is missing. Next, the emotion engine analyzes the user's emotional state and selects the most appropriate department and member to handle the project based on its attributes. For example, if the user is in a high stress state, the system will prioritize the department with the resources to alleviate the stress.

[0589] Notifying selected departments and members and setting meeting schedules

[0590] The server automatically sends emails to selected departments and members. The emails include information such as project overviews, roles, and the first meeting schedule. At the same time, the emotion engine takes into account the user's emotional state and adjusts the notification content and schedule settings accordingly. For example, if the user shows signs of fatigue, the system may consider delaying the meeting schedule slightly.

[0591] Automatic generation of project structure charts and milestones

[0592] The server automatically generates a project organizational chart. The organizational chart clearly shows the project manager and team members, and describes each member's role. In addition, important project milestones are set and the dates for each target are automatically calculated. This makes it easier to visually grasp the progress of the project.

[0593] Organizing new projects and creating new proposals

[0594] The server organizes all new projects and categorizes similar cases. In this process, projects with the same skill sets and objectives are grouped together. Next, new projects are proposed based on this organized information. For example, by combining multiple similar projects, it is possible to generate a project that creates new value.

[0595] User support using emotion engine

[0596] The emotion engine continuously monitors the user's input and the progress of the project, analyzing the user's emotional state. If it determines that the user is under high stress, it will provide appropriate resources or suggest breaks. The emotion engine also monitors the user's state while the project is in progress, providing support as needed.

[0597] Specific examples

[0598] For example, when launching a new marketing strategy, a user enters the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. The emotion engine analyzes the user's facial expressions and keyboard inputs and determines that the user is somewhat nervous. Based on this information, the server selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as related members. To ease the user's tension, the emotion engine pays special attention to the wording of notification emails and schedules the first meeting for a time when the user is most relaxed. A project organizational chart is generated, and important milestones (e.g., project kickoff, research completion, strategy draft creation) are set. Furthermore, if there are other similar new projects, the system organizes them and proposes them as a single, large-scale project. In this way, information is organized and the project is launched efficiently.

[0599] This allows for specific processing at each step, enabling the project to be managed quickly and efficiently, while also providing appropriate support based on the user's emotional state.

[0600] The processing flow will be explained below.

[0601] Step 1:

[0602] A user enters details of a new plan or project into the system from a terminal. Using an input form, the user enters the project title, details, deadline, required skills, etc. At this time, the emotion engine monitors the user's input behavior (e.g., typing speed, keyboard touch strength, facial expression) and recognizes their emotional state.

[0603] Step 2:

[0604] The server receives the input information and stores it in a database. During this process, the input information is validated to ensure it is in the correct format. The emotion engine also analyzes the collected user emotion data and evaluates the user's current emotional state (e.g., stress level, tension).

[0605] Step 3:

[0606] The server identifies the necessary department based on the input information. Based on the required skills input by the user, it searches the database for the appropriate department (e.g., Marketing Department, IT Department). It also takes into account the evaluation results of the emotion engine, and if the user is feeling stressed, it prioritizes departments with abundant resources and flexible response.

[0607] Step 4:

[0608] The server selects an appropriate member within the identified department, taking into consideration the required skills, the department's resource situation, each member's skill set, and current workload. If the emotion engine evaluates that the user has high interpersonal stress, it will prioritize selecting a member who is good at communicating with the user.

[0609] Step 5:

[0610] The server automatically sends notification emails to the selected members. The emails include information such as the project overview, roles, and the schedule for the first meeting. If the emotion engine determines that consideration is needed for the user, it adjusts the notification content by using softer language.

[0611] Step 6:

[0612] The server references each member's calendar information and schedules the initial meeting. It checks the available time on the calendars and selects the optimal date and time when all members can participate. If the emotion engine detects that the user is feeling tired, it adjusts the start time of the meeting appropriately.

[0613] Step 7:

[0614] The server automatically generates a project organizational chart, which clearly identifies the project manager and team members and describes each member's role. It also sets important milestones and registers them in the project management tool.

[0615] Step 8:

[0616] The server organizes all incoming projects and categorizes similar cases. It groups new projects based on skill sets and objectives, checking for overlaps. The emotion engine considers which types of projects make users feel more stressed and suggests appropriate ways to organize them.

[0617] Step 9:

[0618] The server creates new proposals based on the organized list of new projects. For example, it can combine multiple similar projects to generate large-scale, effective projects. The emotion engine suggests new combinations and ideas that will reduce the user's stress level.

[0619] Examples:

[0620] For example, when launching a new marketing strategy, a user inputs the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. At this time, the emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is somewhat nervous.

[0621] Based on this information, the server selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as related members. To ease the user's tension, the emotion engine pays special attention to the wording of the notification email and schedules the first meeting at a time when the user is most relaxed.

[0622] A project structure chart is generated and important milestones are set (e.g., project kickoff, research completion, strategy drafting). Furthermore, if there are other similar new initiatives, the system organizes them and presents them as a single large-scale project proposal. An emotion engine continuously monitors the user's emotional state and provides support as needed.

[0623] This allows for specific processing at each step, enabling the project to be managed quickly and efficiently, while also providing appropriate support based on the user's emotional state.

[0624] Example 2

[0625] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0626] Launching new plans and projects quickly and efficiently is a key challenge in today's business environment. However, previous systems often proceeded mechanically without considering the user's emotional state. This increased user stress and fatigue, leading to lower productivity. Furthermore, the time required for analyzing input information, selecting relevant departments and members, and setting meeting schedules made efficient project management difficult.

[0627] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for analyzing input information using an emotion engine that recognizes the user's emotional state and automatically selecting the necessary department and related members, means for automatically setting and notifying the selected department and members of the first meeting schedule taking the user's emotional state into consideration, and means for automatically generating a project organizational chart and milestones. This enables the project to be managed quickly and efficiently, and appropriate support to be provided based on the user's emotional state.

[0628] A "new initiative or project" is a new idea or plan that has never existed before, including a detailed plan for carrying it out.

[0629] "Detailed information" is all the information needed to execute the project, such as the project title, description, deadline, required skills, etc.

[0630] The "emotion engine" is a technology that recognizes a user's emotional state by analyzing the user's typing speed, images from a facial recognition camera, and the strength of their keyboard touches.

[0631] "Analyzing" means performing processing to determine appropriate options and actions based on the input information.

[0632] A "department" is a division in a company or organization that is responsible for a specific role or task.

[0633] A "member" is an individual or group that belongs to a particular project or team.

[0634] A "meeting schedule" is a plan that determines the dates and times of meetings necessary to progress a project.

[0635] "Notifying" is the act of making specific information known to relevant parties.

[0636] An "organizational chart" is a diagram that visually shows the organizational structure of a project and the roles of each member.

[0637] A "milestone" is an important turning point or goal that indicates the progress of a project.

[0638] "Organizing" means systematically classifying multiple pieces of information or cases and grouping related items together.

[0639] "Similar projects" are projects or initiatives that share a particular skill set or objective.

[0640] To "propose" is to present a specific idea or plan.

[0641] "Email" means a message sent or received digitally over the Internet.

[0642] "Skills" refer to the abilities and knowledge required to carry out a specific job or task.

[0643] "Support" means providing assistance or help to achieve a specific goal.

[0644] The present invention is a system that combines an emotion engine that recognizes the user's emotional state in order to quickly and efficiently launch new plans and projects. This system is specifically implemented using the hardware and software described below.

[0645] The system begins by having the user enter detailed information about a new plan or project using an input form on the device. The information entered by the user includes the project title, details, deadline, required skills, etc. The device is also equipped with a facial recognition camera and keyboard, through which the user's emotional state is monitored by the emotion engine.

[0646] The server receives the details sent by the user and stores them in a database. Specific software used here includes database management systems such as MySQL and PostgreSQL. The emotion engine then analyzes the user's input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) to recognize the user's emotional state. Technologies used by the emotion engine include OpenCV and TensorFlow.

[0647] The server uses the analysis results of the emotion engine and the input detailed information to automatically select the most appropriate department and member to handle the project based on its attributes. For example, if a user is in a high-stress state, an algorithm is applied to select a department that can alleviate resources. The selected department and member are automatically notified via email. Emails can be sent using the SMTP protocol.

[0648] In parallel, the server automatically generates a project organizational chart and milestones. The organizational chart clearly shows the roles of the project manager and team members, lists each member's tasks, sets important project milestones, and automatically calculates target dates.

[0649] The server also organizes all new projects and categorizes them into similar projects. This process groups projects with similar skill sets and objectives. Based on this, new projects can be proposed. For example, multiple smaller marketing projects can be combined into one larger project.

[0650] The emotion engine continuously monitors the user's input and the progress of the project, analyzing the user's emotional state. For example, if the user is under high stress, it can respond by suggesting a break. The emotion engine also monitors the user's state and provides appropriate support even while the project is in progress.

[0651] As a concrete example, when launching a new marketing strategy, the user inputs the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. At that time, the emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is somewhat nervous. The server selects the marketing department as the responsible department and assigns the relevant members. The emotion engine also gives special consideration to the wording of notification emails and schedules meetings at times when the user is most relaxed.

[0652] Specific prompts for this system include:

[0653] "Enter your plan to launch a new marketing strategy into the system. Required information includes the project title, details, deadline, and required skills. As you enter your plan, the emotional engine monitors your emotional state and automatically selects the best resources for your project."

[0654] In this way, the present invention makes it possible to realize the rapid and efficient management of new plans and projects, and to provide appropriate support based on the user's emotional state.

[0655] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0656] Step 1:

[0657] The user enters detailed information about a new plan or project into the terminal. Input items include the project title, description, deadline, required skills, etc. By entering data into the input form, this information is sent to the server.

[0658] input:

[0659] Project title

[0660] Project Description

[0661] Project Deadline

[0662] Required Skills

[0663] output:

[0664] Details sent to the server

[0665] Step 2:

[0666] The emotion engine monitors the user's typing behavior and recognizes their emotional state. It uses the device's facial recognition camera to capture the user's facial expressions, and also analyzes their typing speed and keyboard touch strength. Based on the analysis results, it can determine whether the user is tense or relaxed, for example.

[0667] input:

[0668] Input speed

[0669] Facial recognition camera footage

[0670] Keyboard touch strength

[0671] output:

[0672] The user's emotional state (e.g., tense, relaxed)

[0673] Step 3:

[0674] The server stores the details received from the user in a database. First, it checks the format of the input and verifies that all required fields are filled in correctly, thereby verifying that no data is missing from the input.

[0675] input:

[0676] Details submitted by the user

[0677] output:

[0678] Information stored in the database

[0679] Step 4:

[0680] The server automatically selects the department and members best suited to the project based on the analysis results of the emotion engine and detailed information provided by the user. For example, if a user is in a high-stress state, it will prioritize the department that can reduce resources.

[0681] input:

[0682] Information stored in the database

[0683] The user's emotional state

[0684] output:

[0685] Selection of the most suitable department and members

[0686] Step 5:

[0687] The server automatically sends notifications via email to selected departments and members, including a project overview, roles, and the first meeting schedule. An emotion engine takes the user's emotional state into account and adjusts the wording of the email and the meeting schedule accordingly.

[0688] input:

[0689] Selection of the most suitable department and members

[0690] The user's emotional state

[0691] output:

[0692] Notification email to selected departments and members

[0693] Step 6:

[0694] The server automatically generates a project structure and milestones, which includes the roles of the project manager and team members, and sets important milestones and target dates.

[0695] input:

[0696] Selection of the most suitable department and members

[0697] output:

[0698] Auto-generated project structure and milestones

[0699] Step 7:

[0700] The server organizes all new projects and categorizes similar projects. This allows projects with the same skill sets and goals to be grouped together. Based on this organized information, new projects are proposed.

[0701] input:

[0702] Multiple new project information stored in the database

[0703] output:

[0704] Classification results of similar projects and proposals for new projects

[0705] Step 8:

[0706] The emotion engine continuously monitors user input and project progress, analyzing the user's emotional state. For users in a high-stress state, it provides appropriate resources and suggests break times to support the progress of the project.

[0707] input:

[0708] User input

[0709] Project Progress

[0710] output:

[0711] Support suggestions based on the user's emotional state

[0712] Through these steps, the system efficiently and quickly advances projects and provides support based on the user's emotional state.

[0713] (Application example 2)

[0714] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0715] Conventional project management systems set work instructions and meeting schedules without considering the user's emotional state, resulting in problems such as reduced work efficiency and increased stress. Furthermore, in factory production management, it was difficult to monitor the status of workers in real time and provide appropriate support immediately. Therefore, a new system is needed to reduce the burden on workers and progress projects efficiently and flexibly.

[0716] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting detailed information about a new plan or project; means for analyzing the input information and recognizing the user's emotional state; means for automatically selecting the necessary departments and related members based on the user's emotional state; means for automatically setting and notifying the selected departments and members of the first meeting schedule based on the user's emotional state; means for automatically generating an organizational chart and milestones for the project; means for organizing the list of new plans or projects and classifying similar cases; means for making new proposals from the organized new plans; and means for workers to receive emotion analysis data in real time. This makes it possible to efficiently manage the progress of a project based on the user's emotional state and provide appropriate support while reducing the burden on workers.

[0717] The "means for inputting detailed information about a new plan or project" is an interface that allows a user to input information about a new project or plan (title, details, deadline, required skills, etc.) into the system.

[0718] The "means for analyzing the input information and recognizing the user's emotional state" refers to an emotion engine that analyzes the user's movements, facial expressions, keyboard typing speed, etc. while inputting information, and estimates the user's emotional state (stress, tension, fatigue, etc.).

[0719] The "means for automatically selecting the necessary department and related members based on the user's emotional state" is an algorithm that automatically selects the most appropriate department and members based on the input information and emotional state.

[0720] "Means for automatically setting and notifying selected departments and members of the first meeting schedule based on the user's emotional state" is a function that sets the first meeting for selected departments and members at the optimal date and time, taking into account the user's emotional state, and notifies them of the schedule.

[0721] The "means for automatically generating the organizational chart and milestones of the project" is a function that automatically creates a configuration chart of the members in charge of the project and important progress goals (milestones) of the project.

[0722] The "means for organizing the list of new plans or projects and classifying similar cases" is an algorithm that organizes the multiple new plans or projects that have been input and classifies those that are highly related.

[0723] The "means for making new proposals from the new plans that have been organized" is a processing function for proposing new plans or projects based on similar cases.

[0724] "Means for workers to receive real-time emotional analysis data" refers to a system that allows workers to obtain analytical data on their emotional state in real time through smart glasses or other devices.

[0725] The present invention is a system for quickly and efficiently launching new plans and projects, and is combined with an emotion engine that recognizes the emotions of users. Specific embodiments of this system will be described in detail below.

[0726] System Configuration

[0727] This system is realized using the following hardware and software.

[0728] Hardware

[0729] 1. Smart Devices:

[0730] Smart glasses (captures workers' facial expressions and movements in real time)

[0731] Computer terminal (where users enter information)

[0732] Server (data processing and storage)

[0733] software

[0734] 1. Emotion Engine:

[0735] Monitors user input behavior and analyzes input speed, facial recognition camera footage, keyboard touch strength, etc.

[0736] 2. Project Management Module:

[0737] Information analysis, selection of appropriate departments and related members, setting of meeting schedules, automatic generation of organizational charts and milestones

[0738] Program processing

[0739] 1. Input capture and sentiment analysis:

[0740] Users use smart devices to input detailed information about new ideas and projects, including the project title, details, deadline, and required skills.

[0741] The emotion engine monitors the user's input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) and analyzes the user's emotional state.

[0742] 2. Analysis of information and selection of responsible department:

[0743] The server receives the input information and stores it in a database.The emotion engine then analyzes the user's emotional state and selects the most appropriate department and team member based on the project's attributes.

[0744] 3. Meeting Schedule and Notification:

[0745] The first meeting schedule is set for the selected departments and members, taking into consideration the user's emotional state, and is automatically notified.

[0746] 4. Automatic generation of project structure charts and milestones:

[0747] The server automatically generates a project organizational chart, clearly indicating the roles of each member, and sets important milestones and automatically calculates the dates for each goal.

[0748] 5. Organizing new projects and creating new proposals:

[0749] The server organizes all new projects and classifies similar cases. Next, it proposes new projects based on the organized information.

[0750] 6. Providing real-time sentiment analysis data:

[0751] Through the smart glasses, workers can obtain real-time analytical data on their emotional state.

[0752] Specific examples

[0753] For example, when entering a task to set up a new production line, the user inputs a title such as "New production line setup," along with details, deadlines, and required skills (e.g., mechanical and electrical skills) into the system. The emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is feeling somewhat burdened. Based on this information, the server selects the appropriate technical department and selects an appropriate engineer. To reduce the user's burden, the emotion engine takes into consideration the wording of the notification email and schedules the first meeting for a time when the user can relax.

[0754] Prompt Sentence Examples

[0755] "Enter a new setup task for your production line. If the emotion engine detects tension, it will reschedule your meeting for a more relaxed time."

[0756] In this way, the system takes into account the user's emotional state, efficiently managing the progress of the project and providing appropriate support while reducing the burden on workers.

[0757] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0758] Step 1:

[0759] A user uses a smart device to input details about a new idea or project, including the project title, details, deadline, and required skills. The device then sends this information to a server, which generates a dataset of the input details as an output.

[0760] Step 2:

[0761] The server first stores the received information in a database. It then parses the input, checks the format, and verifies that no necessary information is missing. This stage involves a data validation process to ensure that the information entered is accurate and complete. The output is a validated information dataset.

[0762] Step 3:

[0763] The server monitors input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) to recognize the user's emotional state using an emotion engine. The emotion engine analyzes these data and estimates the user's emotional state (e.g., tension, stress, fatigue). The output is analytical data about the user's emotional state.

[0764] Step 4:

[0765] The server automatically selects the most suitable department and members according to the project attributes based on the analyzed information and the user's emotional state. This recommendation system makes the optimal selection taking into account the project content and the user's emotional state. As an output, a list of selected departments and members is generated.

[0766] Step 5:

[0767] The server automatically schedules the first meeting for the selected department and members. This schedule takes into account the user's emotional state and selects an appropriate time slot. The generative AI model adjusts the meeting schedule. The output is the configured meeting schedule.

[0768] Step 6:

[0769] After setting the meeting schedule, the server notifies the selected departments and members. The notification method is to automatically send emails. As an output, a notification email of the meeting schedule is generated and sent.

[0770] Step 7:

[0771] The server automatically generates a project organizational chart, which clearly defines the roles of the project manager and team members and lists each member's area of ​​responsibility. It also sets important milestones and automatically calculates the dates for each target. The output is a project organizational chart and a list of milestones.

[0772] Step 8:

[0773] The server organizes the list of new plans and projects and categorizes similar cases. Here, multiple new plans are grouped. This organization makes it easier to search and manage similar cases. The output is an organized list of new plans.

[0774] Step 9:

[0775] The server then makes new proposals based on the organized new project data. In this process, multiple similar projects are combined to generate projects that create new value. The output is a list of new proposals.

[0776] Step 10:

[0777] Through the smart glasses, workers receive real-time emotional analysis data, which allows them to understand their emotional state and take steps to relax if necessary. The output is the emotional analysis data provided to the workers.

[0778] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0779] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0780] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0781] [Third embodiment]

[0782] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0783] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0784] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0785] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0786] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0787] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0788] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0789] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0790] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0791] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0792] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0793] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0794] The present invention is a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0795] User enters details

[0796] A user enters detailed information about a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user interface is expected to be an input form or a dialog box.

[0797] Analyzes input information and automatically selects departments and members in charge

[0798] The server receives and analyzes the input information. First, it searches the database for the appropriate department based on the required skills. Next, it selects the relevant departments and members based on the project's characteristics and required skills. The selection process takes into account the resource situation of each department and the skill sets of the members.

[0799] Notifying selected departments and members and setting meeting schedules

[0800] The server automatically sends emails to the selected departments and members. The emails include an overview of the project and the schedule for the first meeting. The system sets the schedule by referencing each member's calendar information, detecting their free time, and selecting the optimal date and time.

[0801] Automatic generation of project structure charts and milestones

[0802] The server automatically generates a project organizational chart. The organizational chart clearly shows the project manager and team members, along with each member's role. In addition, important project milestones are set and the dates for each target are automatically calculated. This makes it easier to visually grasp the progress of the project.

[0803] Organizing new projects and creating new proposals

[0804] The server organizes all new projects and categorizes similar cases. In this process, projects with the same skill sets and objectives are grouped together. Next, new projects are proposed based on this organized information. For example, by combining multiple similar projects, it is possible to generate a project that creates new value.

[0805] Specific examples

[0806] For example, when launching a new marketing strategy, the user enters the title "New Marketing Strategy," a description, deadline, and required skills (marketing, data analysis) into the system. The server then selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as relevant members. The system then automatically sends emails to these members and schedules the first meeting. A project organizational chart is generated, and important milestones (e.g., project kickoff, research completion, strategy draft creation) are set. Furthermore, if there are other similar new plans, the system organizes them and presents a new proposal as one large project. In this way, information is organized and the project is launched efficiently.

[0807] Through these means, the present invention can eliminate the complications that accompany the launch of new plans and projects within a company, and can realize fast and efficient project management.

[0808] The processing flow will be explained below.

[0809] Step 1:

[0810] The user enters the details of a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user uses the input form to enter each item accurately.

[0811] Step 2:

[0812] The server receives the information and stores it in a database, during which it checks the format of the information and makes sure that no necessary information is missing.

[0813] Step 3:

[0814] The server analyzes the input information and searches the database for the appropriate department based on the required skills. For example, if the required skill is "marketing," the marketing department will be selected.

[0815] Step 4:

[0816] The server selects relevant members based on the required skills and the department's resource situation, taking into account each member's skill set and current workload. Once suitable members are selected, a list is generated.

[0817] Step 5:

[0818] The server automatically sends emails to selected members, including a project overview, roles, and the first meeting schedule.

[0819] Step 6:

[0820] The server references each member's calendar information and schedules the initial meeting. It checks the available time slots on the calendars and selects the best date and time when all members can attend.

[0821] Step 7:

[0822] The server automatically generates a project organizational chart, which clearly shows the project manager and team members, along with each member's role.

[0823] Step 8:

[0824] The server sets project milestones, determining important goals and deadlines and registering them in the project management tool.

[0825] Step 9:

[0826] The server sorts all new projects entered and categorizes similar projects, grouping projects based on skill sets and objectives to identify overlaps.

[0827] Step 10:

[0828] The server creates new proposals based on the organized list of new projects. By grouping similar projects together, larger, more effective projects can be proposed.

[0829] This allows for specific processing at each step, enabling the project to be launched quickly and run efficiently.

[0830] Example 1

[0831] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0832] When launching a new plan or project within a company quickly and efficiently, a wide range of complicated tasks are required, such as entering detailed information, selecting the responsible department and personnel, scheduling the first meeting, creating a personnel structure and progress goals, sorting out similar cases, and proposing new plans. There is a demand for centralizing and automating these tasks to significantly reduce time and labor, thereby improving productivity across the entire company.

[0833] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0834] In this invention, the server includes means for inputting detailed information about a new plan or project, means for analyzing the input information and automatically selecting the necessary departments and related personnel, means for automatically setting and notifying the selected departments and personnel of the first meeting date, means for automatically generating a personnel structure chart and progress targets for the project, means for organizing the list of new plans or projects and classifying similar cases, and means for proposing a new plan from the organized new plans. This eliminates the complexity involved in launching new plans or projects within a company and enables fast and efficient project management.

[0835] A "new plan or project" is a new plan or part of a new undertaking that is being launched within a company or organization.

[0836] "Detailed information" is data including information such as the project title, detailed description, deadline, and required skills.

[0837] "Means for inputting" refers to a mechanism for transmitting information from a terminal via a user interface.

[0838] The "means of analysis" is a system that understands the input data and processes it to select the appropriate department or personnel.

[0839] The "selection method" is a mechanism for determining the appropriate department and personnel based on the required skills and characteristics of the project.

[0840] The "means of notification" refers to the means for informing selected departments and personnel of the plans and schedules, and is a system that mainly uses email.

[0841] The "means for automatically setting meeting dates" refers to a system that references each member's calendar and determines the date and time of the meeting based on everyone's free time.

[0842] A "personnel structure diagram" is a diagram that visually shows the roles and positions of each member involved in a project.

[0843] "Progress goals" include targets to be achieved and dates for each phase of the project.

[0844] "Means for organizing the list" refers to a system for classifying multiple new plans and projects and grouping similar items.

[0845] "Means for proposing new plans" is a system that uses organized information to integrate multiple similar plans and create projects that create new value.

[0846] The present invention is a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0847] User enters details

[0848] A user accesses the system's interface using their own terminal (such as a computer or mobile device). The user fills in the input form with details about a new plan or project, including the project title, detailed description, deadline, and required skills. When the user completes the input and clicks the "Submit" button, the terminal sends these details to the server.

[0849] The server analyzes the input information and automatically selects the department and member in charge

[0850] The server analyzes the information received from the user's device. It then inputs the input information into a text analysis algorithm to search a database for the appropriate department based on the required skills and project details. It also selects relevant departments and personnel based on the project's characteristics and required skills. This selection process also takes into account the resource situation of each department and the skill sets of the personnel.

[0851] Server-based notification and meeting schedule setting for selected departments and members

[0852] The server automatically sends a notification email to the selected departments and personnel. This email includes an overview of the project and the date of the first meeting. When setting the meeting date, the server references each member's calendar information, detects everyone's free time, and selects the optimal date and time. The selected date is included in the email, and another notification email is sent.

[0853] Automatic generation of project structure charts and milestones by the server

[0854] The server automatically generates a personnel structure chart for the project based on the information of the selected personnel. This structure chart includes the roles of the project manager and each member. Project progress goals (milestones) are also automatically set, and the dates for each goal are calculated. The generated structure chart and milestones are reflected in the project management system.

[0855] The server organizes new ideas entered and creates new proposals

[0856] The server stores all new projects in a database and then categorizes similar projects. In this process, projects with the same skill set and purpose are grouped together. The server organizes this information and integrates multiple similar projects to propose a new project that creates additional value.

[0857] Examples of concrete examples and prompts

[0858] For example, when launching a "new marketing strategy," the user enters the following into the system: the title "new marketing strategy," a detailed description, the deadline, and the required skills (marketing, data analysis). The server then selects members of the marketing department and data analysis team and sends notification emails to each of them. The first meeting is scheduled for 10:00 a.m. on Monday one week from now, and a personnel structure and milestones for the project are automatically generated. Furthermore, if there are other similar projects, they are organized and a new integrated plan is proposed.

[0859] Prompt Sentence Examples

[0860] "Plan a project to launch a new marketing strategy. The title is 'New Marketing Strategy,' the deadline is within three months, and the required skills are marketing and data analysis. Based on this information, select the responsible department and members, and automatically generate a project personnel structure and progress goals."

[0861] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0862] Step 1:

[0863] A user uses a terminal to input detailed information about a new plan or project. Specifically, the user enters information such as the project title, detailed description, deadline, and required skills into an input form on the user interface. Once the user has completed the input and pressed the "Submit" button, the terminal sends the input information to the server.

[0864] Input: Project details (e.g. title, description, deadline, required skills, etc.)

[0865] Output: The input information is sent to the server

[0866] Step 2:

[0867] The server analyzes the information received from the user. The server inputs the received data into a text analysis algorithm to analyze the required skills and detailed descriptions. Based on the results of this analysis, the server searches the database for the appropriate department in charge. It also selects candidate departments and personnel based on the characteristics of the project and the required skills.

[0868] Input: Project details submitted by the user

[0869] Data processing: Analysis using text analysis algorithms

[0870] Output: List of appropriate departments and personnel

[0871] Step 3:

[0872] The server automatically sends notification emails to the selected departments and personnel. The emails include an overview of the project and the first meeting date. To set the meeting date, the server references each member's calendar information and detects everyone's free time. It then selects the most suitable date and time from the detected free time and sends another email containing that date and time.

[0873] Input: List of candidate departments and personnel, calendar information for each member

[0874] Data processing: Free time detection and meeting scheduling

[0875] Output: Send notification email

[0876] Step 4:

[0877] The server automatically generates a personnel structure chart and progress goals (milestones) for the project. Based on the selected personnel information, the server creates a personnel structure chart for the project and clarifies the role of each member. It also sets project progress goals and automatically calculates the target dates for each. The generated structure chart and progress goals are reflected in the project management system.

[0878] Input: Selected personnel information

[0879] Data processing: Automatic generation of personnel structure charts and milestones

[0880] Output: Reflection in the project management system

[0881] Step 5:

[0882] The server stores all new projects in a database and categorizes similar cases. In this process, projects with similar skill sets and objectives are grouped together. Based on this information, the server integrates multiple similar projects and proposes a new project that creates additional value.

[0883] Input: All new project information

[0884] Data processing: storing data in a database and classifying similar cases

[0885] Output: New project proposal

[0886] (Application example 1)

[0887] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0888] When launching a new plan or project, the series of tasks required, such as inputting and analyzing detailed information, selecting the responsible department and members, notifying them, setting a schedule, and generating organizational charts and milestones, is extremely cumbersome. In particular, for projects involving multiple machines, the need to consider the machine's operating status and skill sets makes efficient project management even more difficult. There is a need for a system that can solve these problems and enable the rapid and efficient launch of projects.

[0889] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0890] In this invention, the server includes means for inputting detailed information about a new plan or project, means for analyzing the input information and automatically selecting the necessary departments and related members and machines, means for automatically setting and notifying the selected departments, members and machines of an initial work schedule, means for automatically generating an organizational chart and milestones for the project, means for organizing the list of new plans or projects and classifying similar cases, and means for proposing a new plan from the organized new plans. This automates the overall work involved in managing individual machines and carrying out projects, enabling projects to be launched and progressed quickly and efficiently.

[0891] "Detailed information" refers to specific information about a new plan or project, such as the title, description, deadline, and required skills.

[0892] A "department" is a division within a company or organization that has specific duties and responsibilities.

[0893] "Members" are individual employees and staff members involved in new plans and projects.

[0894] "Machinery" refers to automated equipment such as robots and production equipment used in project execution.

[0895] A "schedule" refers to the planned tasks and meetings for a project, and includes information such as the date, time, location, and participants.

[0896] An "organizational chart" is a diagram that shows the organizational structure of a project, clarifying the roles and relationships of the project manager and team members.

[0897] A "milestone" is an important milestone or goal for managing the progress of a project, with a specific deadline for achievement.

[0898] "Similar projects" are other projects that have similar objectives and required skills to the new plan or project.

[0899] A "proposal" is a plan for a new project or initiative that will create new value or benefits based on organized information.

[0900] "Notification" means transmitting information to selected departments, members, and machines by means of email or other means.

[0901] Patent specification: detailed description of the invention

[0902] The present invention relates to a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[0903] Overall system configuration

[0904] This system involves a series of processes, including the user entering detailed information, analyzing the information and automatically selecting the responsible department, members, and machines, automatically setting and notifying the initial work schedule, automatically generating organizational charts and milestones, and organizing new projects and creating new proposals.

[0905] User enters details

[0906] A user inputs detailed information about a new plan or project into the system from a terminal. This information includes the project title, description, deadline, required skills, etc. The terminal uses an input form or a dialog box as its user interface.

[0907] Analyzes input information and automatically selects responsible departments, members, and machines

[0908] The server receives and analyzes the detailed information sent by the user. This allows it to automatically select the most suitable department and members from a database based on the skill sets required for each project, and then select the appropriate machines. The analysis uses a database system and AI models. For example, the database system records the resource status of each department, the skill sets of members, and the operating status and skill sets of machines.

[0909] As a specific example, in the case of a project to expand a production line for product A, the user enters the title "Product A Line Expansion," the deadline, and the required skills (welding, quality control) into the system. The server receives this information, selects the department and members with the required skills, and then selects the appropriate machines.

[0910] Notification and work schedule setting for selected departments, members and machines

[0911] The server automatically notifies selected departments, members, and machines. This notification includes an overview of the project and a schedule for the initial work. The system sets the schedule by referencing the calendar information of each member and machine to select the optimal date and time. Notifications are sent via email.

[0912] Automatic generation of project structure charts and milestones

[0913] The server automatically generates a project structure chart, which clearly shows the roles and responsibilities of the project manager and each team member, and sets important project milestones and automatically calculates the dates for each goal.

[0914] For example, in a project to expand the production line for product A, major milestones such as the kick-off date, research completion date, and strategy draft creation date are automatically set.

[0915] Organizing new projects and creating new proposals

[0916] The server organizes all new projects entered and categorizes them into projects with the same skill sets and objectives. In this process, similar projects are grouped together and new projects are proposed to create new value.

[0917] Using a generative AI model, you can use prompts like this:

[0918] I have entered the information for the "Product A Line Expansion" project. The deadline is December 31, 2023. The required skills are welding and quality control. Please assign the appropriate robots and workers and generate a project structure chart and milestones.

[0919] In this way, the user can efficiently carry out the work involved in launching a project.

[0920] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0921] Step 1:

[0922] A user enters details about a new initiative or project.

[0923] Input items include the project title, description, deadline, required skills, etc. The user inputs the information using a terminal and sends it to the system.

[0924] Input: Project details (title, description, deadline, required skills)

[0925] Output: Detailed information sent to the system

[0926] Step 2:

[0927] The server receives and analyzes the details sent by the user.

[0928] The analysis uses natural language processing technology to extract the necessary skills and characteristics. Based on the extracted skills, the server automatically selects the most suitable department, members, and machines from the database.

[0929] Input: Details submitted by the user

[0930] Output: List of selected departments, members and machines

[0931] Step 3:

[0932] The server automatically sets the initial work schedule for the selected department, members and machines.

[0933] Specifically, the system references the calendar information of each member and machine, detects available times, and selects the optimal date and time.

[0934] Input: Selected department, member and machine list, calendar information

[0935] Output: Initial work schedule

[0936] Step 4:

[0937] The server notifies selected departments, members, and machines of the schedule.

[0938] Notifications are sent via email outlining the project and the initial work schedule.

[0939] Input: Initial work schedule, selected departments, members and machines

[0940] Output: Email notification sent

[0941] Step 5:

[0942] The server automatically generates a project structure chart and milestones.

[0943] The organizational chart lists the roles of the project manager and team members, as well as the machines they are responsible for, and milestones set dates for each goal.

[0944] Input: Project details, selected departments, members and machines

[0945] Output: Generated organization chart and milestones

[0946] Step 6:

[0947] The server organizes all new projects entered and classifies similar projects.

[0948] Use natural language processing technology to group projects with similar skill sets and objectives.

[0949] Input: All new project information

[0950] Output: A list of organized new projects

[0951] Step 7:

[0952] The server proposes new plans based on the organized information.

[0953] For example, multiple similar projects can be integrated to create a project that creates new value.

[0954] Input: A list of organized new projects

[0955] Output: Proposed new project

[0956] Examples of prompts using generative AI models:

[0957] I have entered the information for the "Product A Line Expansion" project. The deadline is December 31, 2023. The required skills are welding and quality control. Please assign the appropriate robots and workers and generate a project structure chart and milestones.

[0958] This allows data processing and calculation to be carried out smoothly at each step, enabling projects to be launched quickly and efficiently.

[0959] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0960] The present invention combines a system for quickly and efficiently launching new plans and projects with an emotion engine that recognizes the user's emotions. Each component of this system and its specific operation will be described below.

[0961] User input of detailed information and emotion recognition

[0962] A user enters detailed information about a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user uses an input form to accurately fill in each item. At this time, the emotion engine monitors the user's input behavior and recognizes the user's emotional state by analyzing factors such as typing speed, facial recognition camera footage while typing, and keyboard touch strength.

[0963] Analyzes input information and automatically selects departments and members in charge

[0964] The server receives the entered information and stores it in a database. During this process, the format of the entered information is checked to ensure that no necessary information is missing. Next, the emotion engine analyzes the user's emotional state and selects the most appropriate department and member to handle the project based on its attributes. For example, if the user is in a high stress state, the system will prioritize the department with the resources to alleviate the stress.

[0965] Notifying selected departments and members and setting meeting schedules

[0966] The server automatically sends emails to selected departments and members. The emails include information such as project overviews, roles, and the first meeting schedule. At the same time, the emotion engine takes into account the user's emotional state and adjusts the notification content and schedule settings accordingly. For example, if the user shows signs of fatigue, the system may consider delaying the meeting schedule slightly.

[0967] Automatic generation of project structure charts and milestones

[0968] The server automatically generates a project organizational chart. The organizational chart clearly shows the project manager and team members, and describes each member's role. In addition, important project milestones are set and the dates for each target are automatically calculated. This makes it easier to visually grasp the progress of the project.

[0969] Organizing new projects and creating new proposals

[0970] The server organizes all new projects and categorizes similar cases. In this process, projects with the same skill sets and objectives are grouped together. Next, new projects are proposed based on this organized information. For example, by combining multiple similar projects, it is possible to generate a project that creates new value.

[0971] User support using emotion engine

[0972] The emotion engine continuously monitors the user's input and the progress of the project, analyzing the user's emotional state. If it determines that the user is under high stress, it will provide appropriate resources or suggest breaks. The emotion engine also monitors the user's state while the project is in progress, providing support as needed.

[0973] Specific examples

[0974] For example, when launching a new marketing strategy, a user enters the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. The emotion engine analyzes the user's facial expressions and keyboard inputs and determines that the user is somewhat nervous. Based on this information, the server selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as related members. To ease the user's tension, the emotion engine pays special attention to the wording of notification emails and schedules the first meeting for a time when the user is most relaxed. A project organizational chart is generated, and important milestones (e.g., project kickoff, research completion, strategy draft creation) are set. Furthermore, if there are other similar new projects, the system organizes them and proposes them as a single, large-scale project. In this way, information is organized and the project is launched efficiently.

[0975] This allows for specific processing at each step, enabling the project to be managed quickly and efficiently, while also providing appropriate support based on the user's emotional state.

[0976] The processing flow will be explained below.

[0977] Step 1:

[0978] A user enters details of a new plan or project into the system from a terminal. Using an input form, the user enters the project title, details, deadline, required skills, etc. At this time, the emotion engine monitors the user's input behavior (e.g., typing speed, keyboard touch strength, facial expression) and recognizes their emotional state.

[0979] Step 2:

[0980] The server receives the input information and stores it in a database. During this process, the input information is validated to ensure it is in the correct format. The emotion engine also analyzes the collected user emotion data and evaluates the user's current emotional state (e.g., stress level, tension).

[0981] Step 3:

[0982] The server identifies the necessary department based on the input information. Based on the required skills input by the user, it searches the database for the appropriate department (e.g., Marketing Department, IT Department). It also takes into account the evaluation results of the emotion engine, and if the user is feeling stressed, it prioritizes departments with abundant resources and flexible response.

[0983] Step 4:

[0984] The server selects an appropriate member within the identified department, taking into consideration the required skills, the department's resource situation, each member's skill set, and current workload. If the emotion engine evaluates that the user has high interpersonal stress, it will prioritize selecting a member who is good at communicating with the user.

[0985] Step 5:

[0986] The server automatically sends notification emails to the selected members. The emails include information such as the project overview, roles, and the schedule for the first meeting. If the emotion engine determines that consideration is needed for the user, it adjusts the notification content by using softer language.

[0987] Step 6:

[0988] The server references each member's calendar information and schedules the initial meeting. It checks the available time on the calendars and selects the optimal date and time when all members can participate. If the emotion engine detects that the user is feeling tired, it adjusts the start time of the meeting appropriately.

[0989] Step 7:

[0990] The server automatically generates a project organizational chart, which clearly identifies the project manager and team members and describes each member's role. It also sets important milestones and registers them in the project management tool.

[0991] Step 8:

[0992] The server organizes all incoming projects and categorizes similar cases. It groups new projects based on skill sets and objectives, checking for overlaps. The emotion engine considers which types of projects make users feel more stressed and suggests appropriate ways to organize them.

[0993] Step 9:

[0994] The server creates new proposals based on the organized list of new projects. For example, it can combine multiple similar projects to generate large-scale, effective projects. The emotion engine suggests new combinations and ideas that will reduce the user's stress level.

[0995] Examples:

[0996] For example, when launching a new marketing strategy, a user inputs the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. At this time, the emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is somewhat nervous.

[0997] Based on this information, the server selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as related members. To ease the user's tension, the emotion engine pays special attention to the wording of the notification email and schedules the first meeting at a time when the user is most relaxed.

[0998] A project structure chart is generated and important milestones are set (e.g., project kickoff, research completion, strategy drafting). Furthermore, if there are other similar new initiatives, the system organizes them and presents them as a single large-scale project proposal. An emotion engine continuously monitors the user's emotional state and provides support as needed.

[0999] This allows for specific processing at each step, enabling the project to be managed quickly and efficiently, while also providing appropriate support based on the user's emotional state.

[1000] Example 2

[1001] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1002] Launching new plans and projects quickly and efficiently is a key challenge in today's business environment. However, previous systems often proceeded mechanically without considering the user's emotional state. This increased user stress and fatigue, leading to lower productivity. Furthermore, the time required for analyzing input information, selecting relevant departments and members, and setting meeting schedules made efficient project management difficult.

[1003] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for analyzing input information using an emotion engine that recognizes the user's emotional state and automatically selecting the necessary department and related members, means for automatically setting and notifying the selected department and members of the first meeting schedule taking the user's emotional state into consideration, and means for automatically generating a project organizational chart and milestones. This enables the project to be managed quickly and efficiently, and appropriate support to be provided based on the user's emotional state.

[1004] A "new initiative or project" is a new idea or plan that has never existed before, including a detailed plan for carrying it out.

[1005] "Detailed information" is all the information needed to execute the project, such as the project title, description, deadline, required skills, etc.

[1006] The "emotion engine" is a technology that recognizes a user's emotional state by analyzing the user's typing speed, images from a facial recognition camera, and the strength of their keyboard touches.

[1007] "Analyzing" means performing processing to determine appropriate options and actions based on the input information.

[1008] A "department" is a division in a company or organization that is responsible for a specific role or task.

[1009] A "member" is an individual or group that belongs to a particular project or team.

[1010] A "meeting schedule" is a plan that determines the dates and times of meetings necessary to progress a project.

[1011] "Notifying" is the act of making specific information known to relevant parties.

[1012] An "organizational chart" is a diagram that visually shows the organizational structure of a project and the roles of each member.

[1013] A "milestone" is an important turning point or goal that indicates the progress of a project.

[1014] "Organizing" means systematically classifying multiple pieces of information or cases and grouping related items together.

[1015] "Similar projects" are projects or initiatives that share a particular skill set or objective.

[1016] To "propose" is to present a specific idea or plan.

[1017] "Email" means a message sent or received digitally over the Internet.

[1018] "Skills" refer to the abilities and knowledge required to carry out a specific job or task.

[1019] "Support" means providing assistance or help to achieve a specific goal.

[1020] The present invention is a system that combines an emotion engine that recognizes the user's emotional state in order to quickly and efficiently launch new plans and projects. This system is specifically implemented using the hardware and software described below.

[1021] The system begins by having the user enter detailed information about a new plan or project using an input form on the device. The information entered by the user includes the project title, details, deadline, required skills, etc. The device is also equipped with a facial recognition camera and keyboard, through which the user's emotional state is monitored by the emotion engine.

[1022] The server receives the details sent by the user and stores them in a database. Specific software used here includes database management systems such as MySQL and PostgreSQL. The emotion engine then analyzes the user's input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) to recognize the user's emotional state. Technologies used by the emotion engine include OpenCV and TensorFlow.

[1023] The server uses the analysis results of the emotion engine and the input detailed information to automatically select the most appropriate department and member to handle the project based on its attributes. For example, if a user is in a high-stress state, an algorithm is applied to select a department that can alleviate resources. The selected department and member are automatically notified via email. Emails can be sent using the SMTP protocol.

[1024] In parallel, the server automatically generates a project organizational chart and milestones. The organizational chart clearly shows the roles of the project manager and team members, lists each member's tasks, sets important project milestones, and automatically calculates target dates.

[1025] The server also organizes all new projects and categorizes them into similar projects. This process groups projects with similar skill sets and objectives. Based on this, new projects can be proposed. For example, multiple smaller marketing projects can be combined into one larger project.

[1026] The emotion engine continuously monitors the user's input and the progress of the project, analyzing the user's emotional state. For example, if the user is under high stress, it can respond by suggesting a break. The emotion engine also monitors the user's state and provides appropriate support even while the project is in progress.

[1027] As a concrete example, when launching a new marketing strategy, the user inputs the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. At that time, the emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is somewhat nervous. The server selects the marketing department as the responsible department and assigns the relevant members. The emotion engine also gives special consideration to the wording of notification emails and schedules meetings at times when the user is most relaxed.

[1028] Specific prompts for this system include:

[1029] "Enter your plan to launch a new marketing strategy into the system. Required information includes the project title, details, deadline, and required skills. As you enter your plan, the emotional engine monitors your emotional state and automatically selects the best resources for your project."

[1030] In this way, the present invention makes it possible to realize the rapid and efficient management of new plans and projects, and to provide appropriate support based on the user's emotional state.

[1031] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1032] Step 1:

[1033] The user enters detailed information about a new plan or project into the terminal. Input items include the project title, description, deadline, required skills, etc. By entering data into the input form, this information is sent to the server.

[1034] input:

[1035] Project title

[1036] Project Description

[1037] Project Deadline

[1038] Required Skills

[1039] output:

[1040] Details sent to the server

[1041] Step 2:

[1042] The emotion engine monitors the user's typing behavior and recognizes their emotional state. It uses the device's facial recognition camera to capture the user's facial expressions, and also analyzes their typing speed and keyboard touch strength. Based on the analysis results, it can determine whether the user is tense or relaxed, for example.

[1043] input:

[1044] Input speed

[1045] Facial recognition camera footage

[1046] Keyboard touch strength

[1047] output:

[1048] The user's emotional state (e.g., tense, relaxed)

[1049] Step 3:

[1050] The server stores the details received from the user in a database. First, it checks the format of the input and verifies that all required fields are filled in correctly, thereby verifying that no data is missing from the input.

[1051] input:

[1052] Details submitted by the user

[1053] output:

[1054] Information stored in the database

[1055] Step 4:

[1056] The server automatically selects the department and members best suited to the project based on the analysis results of the emotion engine and detailed information provided by the user. For example, if a user is in a high-stress state, it will prioritize the department that can reduce resources.

[1057] input:

[1058] Information stored in the database

[1059] The user's emotional state

[1060] output:

[1061] Selection of the most suitable department and members

[1062] Step 5:

[1063] The server automatically sends notifications via email to selected departments and members, including a project overview, roles, and the first meeting schedule. An emotion engine takes the user's emotional state into account and adjusts the wording of the email and the meeting schedule accordingly.

[1064] input:

[1065] Selection of the most suitable department and members

[1066] The user's emotional state

[1067] output:

[1068] Notification email to selected departments and members

[1069] Step 6:

[1070] The server automatically generates a project structure and milestones, which includes the roles of the project manager and team members, and sets important milestones and target dates.

[1071] input:

[1072] Selection of the most suitable department and members

[1073] output:

[1074] Auto-generated project structure and milestones

[1075] Step 7:

[1076] The server organizes all new projects and categorizes similar projects. This allows projects with the same skill sets and goals to be grouped together. Based on this organized information, new projects are proposed.

[1077] input:

[1078] Multiple new project information stored in the database

[1079] output:

[1080] Classification results of similar projects and proposals for new projects

[1081] Step 8:

[1082] The emotion engine continuously monitors user input and project progress, analyzing the user's emotional state. For users in a high-stress state, it provides appropriate resources and suggests break times to support the progress of the project.

[1083] input:

[1084] User input

[1085] Project Progress

[1086] output:

[1087] Support suggestions based on the user's emotional state

[1088] Through these steps, the system efficiently and quickly advances projects and provides support based on the user's emotional state.

[1089] (Application example 2)

[1090] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1091] Conventional project management systems set work instructions and meeting schedules without considering the user's emotional state, resulting in problems such as reduced work efficiency and increased stress. Furthermore, in factory production management, it was difficult to monitor the status of workers in real time and provide appropriate support immediately. Therefore, a new system is needed to reduce the burden on workers and progress projects efficiently and flexibly.

[1092] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting detailed information about a new plan or project; means for analyzing the input information and recognizing the user's emotional state; means for automatically selecting the necessary departments and related members based on the user's emotional state; means for automatically setting and notifying the selected departments and members of the first meeting schedule based on the user's emotional state; means for automatically generating an organizational chart and milestones for the project; means for organizing the list of new plans or projects and classifying similar cases; means for making new proposals from the organized new plans; and means for workers to receive emotion analysis data in real time. This makes it possible to efficiently manage the progress of a project based on the user's emotional state and provide appropriate support while reducing the burden on workers.

[1093] The "means for inputting detailed information about a new plan or project" is an interface that allows a user to input information about a new project or plan (title, details, deadline, required skills, etc.) into the system.

[1094] The "means for analyzing the input information and recognizing the user's emotional state" refers to an emotion engine that analyzes the user's movements, facial expressions, keyboard typing speed, etc. while inputting information, and estimates the user's emotional state (stress, tension, fatigue, etc.).

[1095] The "means for automatically selecting the necessary department and related members based on the user's emotional state" is an algorithm that automatically selects the most appropriate department and members based on the input information and emotional state.

[1096] "Means for automatically setting and notifying selected departments and members of the first meeting schedule based on the user's emotional state" is a function that sets the first meeting for selected departments and members at the optimal date and time, taking into account the user's emotional state, and notifies them of the schedule.

[1097] The "means for automatically generating the organizational chart and milestones of the project" is a function that automatically creates a configuration chart of the members in charge of the project and important progress goals (milestones) of the project.

[1098] The "means for organizing the list of new plans or projects and classifying similar cases" is an algorithm that organizes the multiple new plans or projects that have been input and classifies those that are highly related.

[1099] The "means for making new proposals from the new plans that have been organized" is a processing function for proposing new plans or projects based on similar cases.

[1100] "Means for workers to receive real-time emotional analysis data" refers to a system that allows workers to obtain analytical data on their emotional state in real time through smart glasses or other devices.

[1101] The present invention is a system for quickly and efficiently launching new plans and projects, and is combined with an emotion engine that recognizes the emotions of users. Specific embodiments of this system will be described in detail below.

[1102] System Configuration

[1103] This system is realized using the following hardware and software.

[1104] Hardware

[1105] 1. Smart Devices:

[1106] Smart glasses (captures workers' facial expressions and movements in real time)

[1107] Computer terminal (where users enter information)

[1108] Server (data processing and storage)

[1109] software

[1110] 1. Emotion Engine:

[1111] Monitors user input behavior and analyzes input speed, facial recognition camera footage, keyboard touch strength, etc.

[1112] 2. Project Management Module:

[1113] Information analysis, selection of appropriate departments and related members, setting of meeting schedules, automatic generation of organizational charts and milestones

[1114] Program processing

[1115] 1. Input capture and sentiment analysis:

[1116] Users use smart devices to input detailed information about new ideas and projects, including the project title, details, deadline, and required skills.

[1117] The emotion engine monitors the user's input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) and analyzes the user's emotional state.

[1118] 2. Analysis of information and selection of responsible department:

[1119] The server receives the input information and stores it in a database.The emotion engine then analyzes the user's emotional state and selects the most appropriate department and team member based on the project's attributes.

[1120] 3. Meeting Schedule and Notification:

[1121] The first meeting schedule is set for the selected departments and members, taking into consideration the user's emotional state, and is automatically notified.

[1122] 4. Automatic generation of project structure charts and milestones:

[1123] The server automatically generates a project organizational chart, clearly indicating the roles of each member, and sets important milestones and automatically calculates the dates for each goal.

[1124] 5. Organizing new projects and creating new proposals:

[1125] The server organizes all new projects and classifies similar cases. Next, it proposes new projects based on the organized information.

[1126] 6. Providing real-time sentiment analysis data:

[1127] Through the smart glasses, workers can obtain real-time analytical data on their emotional state.

[1128] Specific examples

[1129] For example, when entering a task to set up a new production line, the user inputs a title such as "New production line setup," along with details, deadlines, and required skills (e.g., mechanical and electrical skills) into the system. The emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is feeling somewhat burdened. Based on this information, the server selects the appropriate technical department and selects an appropriate engineer. To reduce the user's burden, the emotion engine takes into consideration the wording of the notification email and schedules the first meeting for a time when the user can relax.

[1130] Prompt Sentence Examples

[1131] "Enter a new setup task for your production line. If the emotion engine detects tension, it will reschedule your meeting for a more relaxed time."

[1132] In this way, the system takes into account the user's emotional state, efficiently managing the progress of the project and providing appropriate support while reducing the burden on workers.

[1133] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1134] Step 1:

[1135] A user uses a smart device to input details about a new idea or project, including the project title, details, deadline, and required skills. The device then sends this information to a server, which generates a dataset of the input details as an output.

[1136] Step 2:

[1137] The server first stores the received information in a database. It then parses the input, checks the format, and verifies that no necessary information is missing. This stage involves a data validation process to ensure that the information entered is accurate and complete. The output is a validated information dataset.

[1138] Step 3:

[1139] The server monitors input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) to recognize the user's emotional state using an emotion engine. The emotion engine analyzes these data and estimates the user's emotional state (e.g., tension, stress, fatigue). The output is analytical data about the user's emotional state.

[1140] Step 4:

[1141] The server automatically selects the most suitable department and members according to the project attributes based on the analyzed information and the user's emotional state. This recommendation system makes the optimal selection taking into account the project content and the user's emotional state. As an output, a list of selected departments and members is generated.

[1142] Step 5:

[1143] The server automatically schedules the first meeting for the selected department and members. This schedule takes into account the user's emotional state and selects an appropriate time slot. The generative AI model adjusts the meeting schedule. The output is the configured meeting schedule.

[1144] Step 6:

[1145] After setting the meeting schedule, the server notifies the selected departments and members. The notification method is to automatically send emails. As an output, a notification email of the meeting schedule is generated and sent.

[1146] Step 7:

[1147] The server automatically generates a project organizational chart, which clearly defines the roles of the project manager and team members and lists each member's area of ​​responsibility. It also sets important milestones and automatically calculates the dates for each target. The output is a project organizational chart and a list of milestones.

[1148] Step 8:

[1149] The server organizes the list of new plans and projects and categorizes similar cases. Here, multiple new plans are grouped. This organization makes it easier to search and manage similar cases. The output is an organized list of new plans.

[1150] Step 9:

[1151] The server then makes new proposals based on the organized new project data. In this process, multiple similar projects are combined to generate projects that create new value. The output is a list of new proposals.

[1152] Step 10:

[1153] Through the smart glasses, workers receive real-time emotional analysis data, which allows them to understand their emotional state and take steps to relax if necessary. The output is the emotional analysis data provided to the workers.

[1154] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1155] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1156] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1157] [Fourth embodiment]

[1158] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1159] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1160] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1161] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1162] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1163] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1164] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1165] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1166] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1167] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1168] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1169] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1170] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1171] The present invention is a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[1172] User enters details

[1173] A user enters detailed information about a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user interface is expected to be an input form or a dialog box.

[1174] Analyzes input information and automatically selects departments and members in charge

[1175] The server receives and analyzes the input information. First, it searches the database for the appropriate department based on the required skills. Next, it selects the relevant departments and members based on the project's characteristics and required skills. The selection process takes into account the resource situation of each department and the skill sets of the members.

[1176] Notifying selected departments and members and setting meeting schedules

[1177] The server automatically sends emails to the selected departments and members. The emails include an overview of the project and the schedule for the first meeting. The system sets the schedule by referencing each member's calendar information, detecting their free time, and selecting the optimal date and time.

[1178] Automatic generation of project structure charts and milestones

[1179] The server automatically generates a project organizational chart. The organizational chart clearly shows the project manager and team members, along with each member's role. In addition, important project milestones are set and the dates for each target are automatically calculated. This makes it easier to visually grasp the progress of the project.

[1180] Organizing new projects and creating new proposals

[1181] The server organizes all new projects and categorizes similar cases. In this process, projects with the same skill sets and objectives are grouped together. Next, new projects are proposed based on this organized information. For example, by combining multiple similar projects, it is possible to generate a project that creates new value.

[1182] Specific examples

[1183] For example, when launching a new marketing strategy, the user enters the title "New Marketing Strategy," a description, deadline, and required skills (marketing, data analysis) into the system. The server then selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as relevant members. The system then automatically sends emails to these members and schedules the first meeting. A project organizational chart is generated, and important milestones (e.g., project kickoff, research completion, strategy draft creation) are set. Furthermore, if there are other similar new plans, the system organizes them and presents a new proposal as one large project. In this way, information is organized and the project is launched efficiently.

[1184] Through these means, the present invention can eliminate the complications that accompany the launch of new plans and projects within a company, and can realize fast and efficient project management.

[1185] The processing flow will be explained below.

[1186] Step 1:

[1187] The user enters the details of a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user uses the input form to enter each item accurately.

[1188] Step 2:

[1189] The server receives the information and stores it in a database, during which it checks the format of the information and makes sure that no necessary information is missing.

[1190] Step 3:

[1191] The server analyzes the input information and searches the database for the appropriate department based on the required skills. For example, if the required skill is "marketing," the marketing department will be selected.

[1192] Step 4:

[1193] The server selects relevant members based on the required skills and the department's resource situation, taking into account each member's skill set and current workload. Once suitable members are selected, a list is generated.

[1194] Step 5:

[1195] The server automatically sends emails to selected members, including a project overview, roles, and the first meeting schedule.

[1196] Step 6:

[1197] The server references each member's calendar information and schedules the initial meeting. It checks the available time slots on the calendars and selects the best date and time when all members can attend.

[1198] Step 7:

[1199] The server automatically generates a project organizational chart, which clearly shows the project manager and team members, along with each member's role.

[1200] Step 8:

[1201] The server sets project milestones, determining important goals and deadlines and registering them in the project management tool.

[1202] Step 9:

[1203] The server sorts all new projects entered and categorizes similar projects, grouping projects based on skill sets and objectives to identify overlaps.

[1204] Step 10:

[1205] The server creates new proposals based on the organized list of new projects. By grouping similar projects together, larger, more effective projects can be proposed.

[1206] This allows for specific processing at each step, enabling the project to be launched quickly and run efficiently.

[1207] Example 1

[1208] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1209] When launching a new plan or project within a company quickly and efficiently, a wide range of complicated tasks are required, such as entering detailed information, selecting the responsible department and personnel, scheduling the first meeting, creating a personnel structure and progress goals, sorting out similar cases, and proposing new plans. There is a demand for centralizing and automating these tasks to significantly reduce time and labor, thereby improving productivity across the entire company.

[1210] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1211] In this invention, the server includes means for inputting detailed information about a new plan or project, means for analyzing the input information and automatically selecting the necessary departments and related personnel, means for automatically setting and notifying the selected departments and personnel of the first meeting date, means for automatically generating a personnel structure chart and progress targets for the project, means for organizing the list of new plans or projects and classifying similar cases, and means for proposing a new plan from the organized new plans. This eliminates the complexity involved in launching new plans or projects within a company and enables fast and efficient project management.

[1212] A "new plan or project" is a new plan or part of a new undertaking that is being launched within a company or organization.

[1213] "Detailed information" is data including information such as the project title, detailed description, deadline, and required skills.

[1214] "Means for inputting" refers to a mechanism for transmitting information from a terminal via a user interface.

[1215] The "means of analysis" is a system that understands the input data and processes it to select the appropriate department or personnel.

[1216] The "selection method" is a mechanism for determining the appropriate department and personnel based on the required skills and characteristics of the project.

[1217] The "means of notification" refers to the means for informing selected departments and personnel of the plans and schedules, and is a system that mainly uses email.

[1218] The "means for automatically setting meeting dates" refers to a system that references each member's calendar and determines the date and time of the meeting based on everyone's free time.

[1219] A "personnel structure diagram" is a diagram that visually shows the roles and positions of each member involved in a project.

[1220] "Progress goals" include targets to be achieved and dates for each phase of the project.

[1221] "Means for organizing the list" refers to a system for classifying multiple new plans and projects and grouping similar items.

[1222] "Means for proposing new plans" is a system that uses organized information to integrate multiple similar plans and create projects that create new value.

[1223] The present invention is a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[1224] User enters details

[1225] A user accesses the system's interface using their own terminal (such as a computer or mobile device). The user fills in the input form with details about a new plan or project, including the project title, detailed description, deadline, and required skills. When the user completes the input and clicks the "Submit" button, the terminal sends these details to the server.

[1226] The server analyzes the input information and automatically selects the department and member in charge

[1227] The server analyzes the information received from the user's device. It then inputs the input information into a text analysis algorithm to search a database for the appropriate department based on the required skills and project details. It also selects relevant departments and personnel based on the project's characteristics and required skills. This selection process also takes into account the resource situation of each department and the skill sets of the personnel.

[1228] Server-based notification and meeting schedule setting for selected departments and members

[1229] The server automatically sends a notification email to the selected departments and personnel. This email includes an overview of the project and the date of the first meeting. When setting the meeting date, the server references each member's calendar information, detects everyone's free time, and selects the optimal date and time. The selected date is included in the email, and another notification email is sent.

[1230] Automatic generation of project structure charts and milestones by the server

[1231] The server automatically generates a personnel structure chart for the project based on the information of the selected personnel. This structure chart includes the roles of the project manager and each member. Project progress goals (milestones) are also automatically set, and the dates for each goal are calculated. The generated structure chart and milestones are reflected in the project management system.

[1232] The server organizes new ideas entered and creates new proposals

[1233] The server stores all new projects in a database and then categorizes similar projects. In this process, projects with the same skill set and purpose are grouped together. The server organizes this information and integrates multiple similar projects to propose a new project that creates additional value.

[1234] Examples of concrete examples and prompts

[1235] For example, when launching a "new marketing strategy," the user enters the following into the system: the title "new marketing strategy," a detailed description, the deadline, and the required skills (marketing, data analysis). The server then selects members of the marketing department and data analysis team and sends notification emails to each of them. The first meeting is scheduled for 10:00 a.m. on Monday one week from now, and a personnel structure and milestones for the project are automatically generated. Furthermore, if there are other similar projects, they are organized and a new integrated plan is proposed.

[1236] Prompt Sentence Examples

[1237] "Plan a project to launch a new marketing strategy. The title is 'New Marketing Strategy,' the deadline is within three months, and the required skills are marketing and data analysis. Based on this information, select the responsible department and members, and automatically generate a project personnel structure and progress goals."

[1238] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1239] Step 1:

[1240] A user uses a terminal to input detailed information about a new plan or project. Specifically, the user enters information such as the project title, detailed description, deadline, and required skills into an input form on the user interface. Once the user has completed the input and pressed the "Submit" button, the terminal sends the input information to the server.

[1241] Input: Project details (e.g. title, description, deadline, required skills, etc.)

[1242] Output: The input information is sent to the server

[1243] Step 2:

[1244] The server analyzes the information received from the user. The server inputs the received data into a text analysis algorithm to analyze the required skills and detailed descriptions. Based on the results of this analysis, the server searches the database for the appropriate department in charge. It also selects candidate departments and personnel based on the characteristics of the project and the required skills.

[1245] Input: Project details submitted by the user

[1246] Data processing: Analysis using text analysis algorithms

[1247] Output: List of appropriate departments and personnel

[1248] Step 3:

[1249] The server automatically sends notification emails to the selected departments and personnel. The emails include an overview of the project and the first meeting date. To set the meeting date, the server references each member's calendar information and detects everyone's free time. It then selects the most suitable date and time from the detected free time and sends another email containing that date and time.

[1250] Input: List of candidate departments and personnel, calendar information for each member

[1251] Data processing: Free time detection and meeting scheduling

[1252] Output: Send notification email

[1253] Step 4:

[1254] The server automatically generates a personnel structure chart and progress goals (milestones) for the project. Based on the selected personnel information, the server creates a personnel structure chart for the project and clarifies the role of each member. It also sets project progress goals and automatically calculates the target dates for each. The generated structure chart and progress goals are reflected in the project management system.

[1255] Input: Selected personnel information

[1256] Data processing: Automatic generation of personnel structure charts and milestones

[1257] Output: Reflection in the project management system

[1258] Step 5:

[1259] The server stores all new projects in a database and categorizes similar cases. In this process, projects with similar skill sets and objectives are grouped together. Based on this information, the server integrates multiple similar projects and proposes a new project that creates additional value.

[1260] Input: All new project information

[1261] Data processing: storing data in a database and classifying similar cases

[1262] Output: New project proposal

[1263] (Application example 1)

[1264] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1265] When launching a new plan or project, the series of tasks required, such as inputting and analyzing detailed information, selecting the responsible department and members, notifying them, setting a schedule, and generating organizational charts and milestones, is extremely cumbersome. In particular, for projects involving multiple machines, the need to consider the machine's operating status and skill sets makes efficient project management even more difficult. There is a need for a system that can solve these problems and enable the rapid and efficient launch of projects.

[1266] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1267] In this invention, the server includes means for inputting detailed information about a new plan or project, means for analyzing the input information and automatically selecting the necessary departments and related members and machines, means for automatically setting and notifying the selected departments, members and machines of an initial work schedule, means for automatically generating an organizational chart and milestones for the project, means for organizing the list of new plans or projects and classifying similar cases, and means for proposing a new plan from the organized new plans. This automates the overall work involved in managing individual machines and carrying out projects, enabling projects to be launched and progressed quickly and efficiently.

[1268] "Detailed information" refers to specific information about a new plan or project, such as the title, description, deadline, and required skills.

[1269] A "department" is a division within a company or organization that has specific duties and responsibilities.

[1270] "Members" are individual employees and staff members involved in new plans and projects.

[1271] "Machinery" refers to automated equipment such as robots and production equipment used in project execution.

[1272] A "schedule" refers to the planned tasks and meetings for a project, and includes information such as the date, time, location, and participants.

[1273] An "organizational chart" is a diagram that shows the organizational structure of a project, clarifying the roles and relationships of the project manager and team members.

[1274] A "milestone" is an important milestone or goal for managing the progress of a project, with a specific deadline for achievement.

[1275] "Similar projects" are other projects that have similar objectives and required skills to the new plan or project.

[1276] A "proposal" is a plan for a new project or initiative that will create new value or benefits based on organized information.

[1277] "Notification" means transmitting information to selected departments, members, and machines by means of email or other means.

[1278] Patent specification: detailed description of the invention

[1279] The present invention relates to a system for quickly and efficiently launching new plans and projects. The components of this system and their specific operations will be described below.

[1280] Overall system configuration

[1281] This system involves a series of processes, including the user entering detailed information, analyzing the information and automatically selecting the responsible department, members, and machines, automatically setting and notifying the initial work schedule, automatically generating organizational charts and milestones, and organizing new projects and creating new proposals.

[1282] User enters details

[1283] A user inputs detailed information about a new plan or project into the system from a terminal. This information includes the project title, description, deadline, required skills, etc. The terminal uses an input form or a dialog box as its user interface.

[1284] Analyzes input information and automatically selects responsible departments, members, and machines

[1285] The server receives and analyzes the detailed information sent by the user. This allows it to automatically select the most suitable department and members from a database based on the skill sets required for each project, and then select the appropriate machines. The analysis uses a database system and AI models. For example, the database system records the resource status of each department, the skill sets of members, and the operating status and skill sets of machines.

[1286] As a specific example, in the case of a project to expand a production line for product A, the user enters the title "Product A Line Expansion," the deadline, and the required skills (welding, quality control) into the system. The server receives this information, selects the department and members with the required skills, and then selects the appropriate machines.

[1287] Notification and work schedule setting for selected departments, members and machines

[1288] The server automatically notifies selected departments, members, and machines. This notification includes an overview of the project and a schedule for the initial work. The system sets the schedule by referencing the calendar information of each member and machine to select the optimal date and time. Notifications are sent via email.

[1289] Automatic generation of project structure charts and milestones

[1290] The server automatically generates a project structure chart, which clearly shows the roles and responsibilities of the project manager and each team member, and sets important project milestones and automatically calculates the dates for each goal.

[1291] For example, in a project to expand the production line for product A, major milestones such as the kick-off date, research completion date, and strategy draft creation date are automatically set.

[1292] Organizing new projects and creating new proposals

[1293] The server organizes all new projects entered and categorizes them into projects with the same skill sets and objectives. In this process, similar projects are grouped together and new projects are proposed to create new value.

[1294] Using a generative AI model, you can use prompts like this:

[1295] I have entered the information for the "Product A Line Expansion" project. The deadline is December 31, 2023. The required skills are welding and quality control. Please assign the appropriate robots and workers and generate a project structure chart and milestones.

[1296] In this way, the user can efficiently carry out the work involved in launching a project.

[1297] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1298] Step 1:

[1299] A user enters details about a new initiative or project.

[1300] Input items include the project title, description, deadline, required skills, etc. The user inputs the information using a terminal and sends it to the system.

[1301] Input: Project details (title, description, deadline, required skills)

[1302] Output: Detailed information sent to the system

[1303] Step 2:

[1304] The server receives and analyzes the details sent by the user.

[1305] The analysis uses natural language processing technology to extract the necessary skills and characteristics. Based on the extracted skills, the server automatically selects the most suitable department, members, and machines from the database.

[1306] Input: Details submitted by the user

[1307] Output: List of selected departments, members and machines

[1308] Step 3:

[1309] The server automatically sets the initial work schedule for the selected department, members and machines.

[1310] Specifically, the system references the calendar information of each member and machine, detects available times, and selects the optimal date and time.

[1311] Input: Selected department, member and machine list, calendar information

[1312] Output: Initial work schedule

[1313] Step 4:

[1314] The server notifies selected departments, members, and machines of the schedule.

[1315] Notifications are sent via email outlining the project and the initial work schedule.

[1316] Input: Initial work schedule, selected departments, members and machines

[1317] Output: Email notification sent

[1318] Step 5:

[1319] The server automatically generates a project structure chart and milestones.

[1320] The organizational chart lists the roles of the project manager and team members, as well as the machines they are responsible for, and milestones set dates for each goal.

[1321] Input: Project details, selected departments, members and machines

[1322] Output: Generated organization chart and milestones

[1323] Step 6:

[1324] The server organizes all new projects entered and classifies similar projects.

[1325] Use natural language processing technology to group projects with similar skill sets and objectives.

[1326] Input: All new project information

[1327] Output: A list of organized new projects

[1328] Step 7:

[1329] The server proposes new plans based on the organized information.

[1330] For example, multiple similar projects can be integrated to create a project that creates new value.

[1331] Input: A list of organized new projects

[1332] Output: Proposed new project

[1333] Examples of prompts using generative AI models:

[1334] I have entered the information for the "Product A Line Expansion" project. The deadline is December 31, 2023. The required skills are welding and quality control. Please assign the appropriate robots and workers and generate a project structure chart and milestones.

[1335] This allows data processing and calculation to be carried out smoothly at each step, enabling projects to be launched quickly and efficiently.

[1336] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1337] The present invention combines a system for quickly and efficiently launching new plans and projects with an emotion engine that recognizes the user's emotions. Each component of this system and its specific operation will be described below.

[1338] User input of detailed information and emotion recognition

[1339] A user enters detailed information about a new plan or project into the system from a terminal. This information includes the project title, details, deadline, required skills, etc. The user uses an input form to accurately fill in each item. At this time, the emotion engine monitors the user's input behavior and recognizes the user's emotional state by analyzing factors such as typing speed, facial recognition camera footage while typing, and keyboard touch strength.

[1340] Analyzes input information and automatically selects departments and members in charge

[1341] The server receives the entered information and stores it in a database. During this process, the format of the entered information is checked to ensure that no necessary information is missing. Next, the emotion engine analyzes the user's emotional state and selects the most appropriate department and member to handle the project based on its attributes. For example, if the user is in a high stress state, the system will prioritize the department with the resources to alleviate the stress.

[1342] Notifying selected departments and members and setting meeting schedules

[1343] The server automatically sends emails to selected departments and members. The emails include information such as project overviews, roles, and the first meeting schedule. At the same time, the emotion engine takes into account the user's emotional state and adjusts the notification content and schedule settings accordingly. For example, if the user shows signs of fatigue, the system may consider delaying the meeting schedule slightly.

[1344] Automatic generation of project structure charts and milestones

[1345] The server automatically generates a project organizational chart. The organizational chart clearly shows the project manager and team members, and describes each member's role. In addition, important project milestones are set and the dates for each target are automatically calculated. This makes it easier to visually grasp the progress of the project.

[1346] Organizing new projects and creating new proposals

[1347] The server organizes all new projects and categorizes similar cases. In this process, projects with the same skill sets and objectives are grouped together. Next, new projects are proposed based on this organized information. For example, by combining multiple similar projects, it is possible to generate a project that creates new value.

[1348] User support using emotion engine

[1349] The emotion engine continuously monitors the user's input and the progress of the project, analyzing the user's emotional state. If it determines that the user is under high stress, it will provide appropriate resources or suggest breaks. The emotion engine also monitors the user's state while the project is in progress, providing support as needed.

[1350] Specific examples

[1351] For example, when launching a new marketing strategy, a user enters the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. The emotion engine analyzes the user's facial expressions and keyboard inputs and determines that the user is somewhat nervous. Based on this information, the server selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as related members. To ease the user's tension, the emotion engine pays special attention to the wording of notification emails and schedules the first meeting for a time when the user is most relaxed. A project organizational chart is generated, and important milestones (e.g., project kickoff, research completion, strategy draft creation) are set. Furthermore, if there are other similar new projects, the system organizes them and proposes them as a single, large-scale project. In this way, information is organized and the project is launched efficiently.

[1352] This allows for specific processing at each step, enabling the project to be managed quickly and efficiently, while also providing appropriate support based on the user's emotional state.

[1353] The processing flow will be explained below.

[1354] Step 1:

[1355] A user enters details of a new plan or project into the system from a terminal. Using an input form, the user enters the project title, details, deadline, required skills, etc. At this time, the emotion engine monitors the user's input behavior (e.g., typing speed, keyboard touch strength, facial expression) and recognizes their emotional state.

[1356] Step 2:

[1357] The server receives the input information and stores it in a database. During this process, the input information is validated to ensure it is in the correct format. The emotion engine also analyzes the collected user emotion data and evaluates the user's current emotional state (e.g., stress level, tension).

[1358] Step 3:

[1359] The server identifies the necessary department based on the input information. Based on the required skills input by the user, it searches the database for the appropriate department (e.g., Marketing Department, IT Department). It also takes into account the evaluation results of the emotion engine, and if the user is feeling stressed, it prioritizes departments with abundant resources and flexible response.

[1360] Step 4:

[1361] The server selects an appropriate member within the identified department, taking into consideration the required skills, the department's resource situation, each member's skill set, and current workload. If the emotion engine evaluates that the user has high interpersonal stress, it will prioritize selecting a member who is good at communicating with the user.

[1362] Step 5:

[1363] The server automatically sends notification emails to the selected members. The emails include information such as the project overview, roles, and the schedule for the first meeting. If the emotion engine determines that consideration is needed for the user, it adjusts the notification content by using softer language.

[1364] Step 6:

[1365] The server references each member's calendar information and schedules the initial meeting. It checks the available time on the calendars and selects the optimal date and time when all members can participate. If the emotion engine detects that the user is feeling tired, it adjusts the start time of the meeting appropriately.

[1366] Step 7:

[1367] The server automatically generates a project organizational chart, which clearly identifies the project manager and team members and describes each member's role. It also sets important milestones and registers them in the project management tool.

[1368] Step 8:

[1369] The server organizes all incoming projects and categorizes similar cases. It groups new projects based on skill sets and objectives, checking for overlaps. The emotion engine considers which types of projects make users feel more stressed and suggests appropriate ways to organize them.

[1370] Step 9:

[1371] The server creates new proposals based on the organized list of new projects. For example, it can combine multiple similar projects to generate large-scale, effective projects. The emotion engine suggests new combinations and ideas that will reduce the user's stress level.

[1372] Examples:

[1373] For example, when launching a new marketing strategy, a user inputs the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. At this time, the emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is somewhat nervous.

[1374] Based on this information, the server selects the Marketing Department as the responsible department and selects "Tanaka Ichiro" and "Sato Hanako" as related members. To ease the user's tension, the emotion engine pays special attention to the wording of the notification email and schedules the first meeting at a time when the user is most relaxed.

[1375] A project structure chart is generated and important milestones are set (e.g., project kickoff, research completion, strategy drafting). Furthermore, if there are other similar new initiatives, the system organizes them and presents them as a single large-scale project proposal. An emotion engine continuously monitors the user's emotional state and provides support as needed.

[1376] This allows for specific processing at each step, enabling the project to be managed quickly and efficiently, while also providing appropriate support based on the user's emotional state.

[1377] Example 2

[1378] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1379] Launching new plans and projects quickly and efficiently is a key challenge in today's business environment. However, previous systems often proceeded mechanically without considering the user's emotional state. This increased user stress and fatigue, leading to lower productivity. Furthermore, the time required for analyzing input information, selecting relevant departments and members, and setting meeting schedules made efficient project management difficult.

[1380] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for analyzing input information using an emotion engine that recognizes the user's emotional state and automatically selecting the necessary department and related members, means for automatically setting and notifying the selected department and members of the first meeting schedule taking the user's emotional state into consideration, and means for automatically generating a project organizational chart and milestones. This enables the project to be managed quickly and efficiently, and appropriate support to be provided based on the user's emotional state.

[1381] A "new initiative or project" is a new idea or plan that has never existed before, including a detailed plan for carrying it out.

[1382] "Detailed information" is all the information needed to execute the project, such as the project title, description, deadline, required skills, etc.

[1383] The "emotion engine" is a technology that recognizes a user's emotional state by analyzing the user's typing speed, images from a facial recognition camera, and the strength of their keyboard touches.

[1384] "Analyzing" means performing processing to determine appropriate options and actions based on the input information.

[1385] A "department" is a division in a company or organization that is responsible for a specific role or task.

[1386] A "member" is an individual or group that belongs to a particular project or team.

[1387] A "meeting schedule" is a plan that determines the dates and times of meetings necessary to progress a project.

[1388] "Notifying" is the act of making specific information known to relevant parties.

[1389] An "organizational chart" is a diagram that visually shows the organizational structure of a project and the roles of each member.

[1390] A "milestone" is an important turning point or goal that indicates the progress of a project.

[1391] "Organizing" means systematically classifying multiple pieces of information or cases and grouping related items together.

[1392] "Similar projects" are projects or initiatives that share a particular skill set or objective.

[1393] To "propose" is to present a specific idea or plan.

[1394] "Email" means a message sent or received digitally over the Internet.

[1395] "Skills" refer to the abilities and knowledge required to carry out a specific job or task.

[1396] "Support" means providing assistance or help to achieve a specific goal.

[1397] The present invention is a system that combines an emotion engine that recognizes the user's emotional state in order to quickly and efficiently launch new plans and projects. This system is specifically implemented using the hardware and software described below.

[1398] The system begins by having the user enter detailed information about a new plan or project using an input form on the device. The information entered by the user includes the project title, details, deadline, required skills, etc. The device is also equipped with a facial recognition camera and keyboard, through which the user's emotional state is monitored by the emotion engine.

[1399] The server receives the details sent by the user and stores them in a database. Specific software used here includes database management systems such as MySQL and PostgreSQL. The emotion engine then analyzes the user's input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) to recognize the user's emotional state. Technologies used by the emotion engine include OpenCV and TensorFlow.

[1400] The server uses the analysis results of the emotion engine and the input detailed information to automatically select the most appropriate department and member to handle the project based on its attributes. For example, if a user is in a high-stress state, an algorithm is applied to select a department that can alleviate resources. The selected department and member are automatically notified via email. Emails can be sent using the SMTP protocol.

[1401] In parallel, the server automatically generates a project organizational chart and milestones. The organizational chart clearly shows the roles of the project manager and team members, lists each member's tasks, sets important project milestones, and automatically calculates target dates.

[1402] The server also organizes all new projects and categorizes them into similar projects. This process groups projects with similar skill sets and objectives. Based on this, new projects can be proposed. For example, multiple smaller marketing projects can be combined into one larger project.

[1403] The emotion engine continuously monitors the user's input and the progress of the project, analyzing the user's emotional state. For example, if the user is under high stress, it can respond by suggesting a break. The emotion engine also monitors the user's state and provides appropriate support even while the project is in progress.

[1404] As a concrete example, when launching a new marketing strategy, the user inputs the title "New Marketing Strategy," a description, a deadline, and required skills (marketing, data analysis) into the system. At that time, the emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is somewhat nervous. The server selects the marketing department as the responsible department and assigns the relevant members. The emotion engine also gives special consideration to the wording of notification emails and schedules meetings at times when the user is most relaxed.

[1405] Specific prompts for this system include:

[1406] "Enter your plan to launch a new marketing strategy into the system. Required information includes the project title, details, deadline, and required skills. As you enter your plan, the emotional engine monitors your emotional state and automatically selects the best resources for your project."

[1407] In this way, the present invention makes it possible to realize the rapid and efficient management of new plans and projects, and to provide appropriate support based on the user's emotional state.

[1408] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1409] Step 1:

[1410] The user enters detailed information about a new plan or project into the terminal. Input items include the project title, description, deadline, required skills, etc. By entering data into the input form, this information is sent to the server.

[1411] input:

[1412] Project title

[1413] Project Description

[1414] Project Deadline

[1415] Required Skills

[1416] output:

[1417] Details sent to the server

[1418] Step 2:

[1419] The emotion engine monitors the user's typing behavior and recognizes their emotional state. It uses the device's facial recognition camera to capture the user's facial expressions, and also analyzes their typing speed and keyboard touch strength. Based on the analysis results, it can determine whether the user is tense or relaxed, for example.

[1420] input:

[1421] Input speed

[1422] Facial recognition camera footage

[1423] Keyboard touch strength

[1424] output:

[1425] The user's emotional state (e.g., tense, relaxed)

[1426] Step 3:

[1427] The server stores the details received from the user in a database. First, it checks the format of the input and verifies that all required fields are filled in correctly, thereby verifying that no data is missing from the input.

[1428] input:

[1429] Details submitted by the user

[1430] output:

[1431] Information stored in the database

[1432] Step 4:

[1433] The server automatically selects the department and members best suited to the project based on the analysis results of the emotion engine and detailed information provided by the user. For example, if a user is in a high-stress state, it will prioritize the department that can reduce resources.

[1434] input:

[1435] Information stored in the database

[1436] The user's emotional state

[1437] output:

[1438] Selection of the most suitable department and members

[1439] Step 5:

[1440] The server automatically sends notifications via email to selected departments and members, including a project overview, roles, and the first meeting schedule. An emotion engine takes the user's emotional state into account and adjusts the wording of the email and the meeting schedule accordingly.

[1441] input:

[1442] Selection of the most suitable department and members

[1443] The user's emotional state

[1444] output:

[1445] Notification email to selected departments and members

[1446] Step 6:

[1447] The server automatically generates a project structure and milestones, which includes the roles of the project manager and team members, and sets important milestones and target dates.

[1448] input:

[1449] Selection of the most suitable department and members

[1450] output:

[1451] Auto-generated project structure and milestones

[1452] Step 7:

[1453] The server organizes all new projects and categorizes similar projects. This allows projects with the same skill sets and goals to be grouped together. Based on this organized information, new projects are proposed.

[1454] input:

[1455] Multiple new project information stored in the database

[1456] output:

[1457] Classification results of similar projects and proposals for new projects

[1458] Step 8:

[1459] The emotion engine continuously monitors user input and project progress, analyzing the user's emotional state. For users in a high-stress state, it provides appropriate resources and suggests break times to support the progress of the project.

[1460] input:

[1461] User input

[1462] Project Progress

[1463] output:

[1464] Support suggestions based on the user's emotional state

[1465] Through these steps, the system efficiently and quickly advances projects and provides support based on the user's emotional state.

[1466] (Application example 2)

[1467] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1468] Conventional project management systems set work instructions and meeting schedules without considering the user's emotional state, resulting in problems such as reduced work efficiency and increased stress. Furthermore, in factory production management, it was difficult to monitor the status of workers in real time and provide appropriate support immediately. Therefore, a new system is needed to reduce the burden on workers and progress projects efficiently and flexibly.

[1469] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting detailed information about a new plan or project; means for analyzing the input information and recognizing the user's emotional state; means for automatically selecting the necessary departments and related members based on the user's emotional state; means for automatically setting and notifying the selected departments and members of the first meeting schedule based on the user's emotional state; means for automatically generating an organizational chart and milestones for the project; means for organizing the list of new plans or projects and classifying similar cases; means for making new proposals from the organized new plans; and means for workers to receive emotion analysis data in real time. This makes it possible to efficiently manage the progress of a project based on the user's emotional state and provide appropriate support while reducing the burden on workers.

[1470] The "means for inputting detailed information about a new plan or project" is an interface that allows a user to input information about a new project or plan (title, details, deadline, required skills, etc.) into the system.

[1471] The "means for analyzing the input information and recognizing the user's emotional state" refers to an emotion engine that analyzes the user's movements, facial expressions, keyboard typing speed, etc. while inputting information, and estimates the user's emotional state (stress, tension, fatigue, etc.).

[1472] The "means for automatically selecting the necessary department and related members based on the user's emotional state" is an algorithm that automatically selects the most appropriate department and members based on the input information and emotional state.

[1473] "Means for automatically setting and notifying selected departments and members of the first meeting schedule based on the user's emotional state" is a function that sets the first meeting for selected departments and members at the optimal date and time, taking into account the user's emotional state, and notifies them of the schedule.

[1474] The "means for automatically generating the organizational chart and milestones of the project" is a function that automatically creates a configuration chart of the members in charge of the project and important progress goals (milestones) of the project.

[1475] The "means for organizing the list of new plans or projects and classifying similar cases" is an algorithm that organizes the multiple new plans or projects that have been input and classifies those that are highly related.

[1476] The "means for making new proposals from the new plans that have been organized" is a processing function for proposing new plans or projects based on similar cases.

[1477] "Means for workers to receive real-time emotional analysis data" refers to a system that allows workers to obtain analytical data on their emotional state in real time through smart glasses or other devices.

[1478] The present invention is a system for quickly and efficiently launching new plans and projects, and is combined with an emotion engine that recognizes the emotions of users. Specific embodiments of this system will be described in detail below.

[1479] System Configuration

[1480] This system is realized using the following hardware and software.

[1481] Hardware

[1482] 1. Smart Devices:

[1483] Smart glasses (captures workers' facial expressions and movements in real time)

[1484] Computer terminal (where users enter information)

[1485] Server (data processing and storage)

[1486] software

[1487] 1. Emotion Engine:

[1488] Monitors user input behavior and analyzes input speed, facial recognition camera footage, keyboard touch strength, etc.

[1489] 2. Project Management Module:

[1490] Information analysis, selection of appropriate departments and related members, setting of meeting schedules, automatic generation of organizational charts and milestones

[1491] Program processing

[1492] 1. Input capture and sentiment analysis:

[1493] Users use smart devices to input detailed information about new ideas and projects, including the project title, details, deadline, and required skills.

[1494] The emotion engine monitors the user's input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) and analyzes the user's emotional state.

[1495] 2. Analysis of information and selection of responsible department:

[1496] The server receives the input information and stores it in a database.The emotion engine then analyzes the user's emotional state and selects the most appropriate department and team member based on the project's attributes.

[1497] 3. Meeting Schedule and Notification:

[1498] The first meeting schedule is set for the selected departments and members, taking into consideration the user's emotional state, and is automatically notified.

[1499] 4. Automatic generation of project structure charts and milestones:

[1500] The server automatically generates a project organizational chart, clearly indicating the roles of each member, and sets important milestones and automatically calculates the dates for each goal.

[1501] 5. Organizing new projects and creating new proposals:

[1502] The server organizes all new projects and classifies similar cases. Next, it proposes new projects based on the organized information.

[1503] 6. Providing real-time sentiment analysis data:

[1504] Through the smart glasses, workers can obtain real-time analytical data on their emotional state.

[1505] Specific examples

[1506] For example, when entering a task to set up a new production line, the user inputs a title such as "New production line setup," along with details, deadlines, and required skills (e.g., mechanical and electrical skills) into the system. The emotion engine analyzes the user's facial expressions and keyboard operations and determines that the user is feeling somewhat burdened. Based on this information, the server selects the appropriate technical department and selects an appropriate engineer. To reduce the user's burden, the emotion engine takes into consideration the wording of the notification email and schedules the first meeting for a time when the user can relax.

[1507] Prompt Sentence Examples

[1508] "Enter a new setup task for your production line. If the emotion engine detects tension, it will reschedule your meeting for a more relaxed time."

[1509] In this way, the system takes into account the user's emotional state, efficiently managing the progress of the project and providing appropriate support while reducing the burden on workers.

[1510] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1511] Step 1:

[1512] A user uses a smart device to input details about a new idea or project, including the project title, details, deadline, and required skills. The device then sends this information to a server, which generates a dataset of the input details as an output.

[1513] Step 2:

[1514] The server first stores the received information in a database. It then parses the input, checks the format, and verifies that no necessary information is missing. This stage involves a data validation process to ensure that the information entered is accurate and complete. The output is a validated information dataset.

[1515] Step 3:

[1516] The server monitors input behavior (e.g., typing speed, facial recognition camera footage, keyboard touch strength) to recognize the user's emotional state using an emotion engine. The emotion engine analyzes these data and estimates the user's emotional state (e.g., tension, stress, fatigue). The output is analytical data about the user's emotional state.

[1517] Step 4:

[1518] The server automatically selects the most suitable department and members according to the project attributes based on the analyzed information and the user's emotional state. This recommendation system makes the optimal selection taking into account the project content and the user's emotional state. As an output, a list of selected departments and members is generated.

[1519] Step 5:

[1520] The server automatically schedules the first meeting for the selected department and members. This schedule takes into account the user's emotional state and selects an appropriate time slot. The generative AI model adjusts the meeting schedule. The output is the configured meeting schedule.

[1521] Step 6:

[1522] After setting the meeting schedule, the server notifies the selected departments and members. The notification method is to automatically send emails. As an output, a notification email of the meeting schedule is generated and sent.

[1523] Step 7:

[1524] The server automatically generates a project organizational chart, which clearly defines the roles of the project manager and team members and lists each member's area of ​​responsibility. It also sets important milestones and automatically calculates the dates for each target. The output is a project organizational chart and a list of milestones.

[1525] Step 8:

[1526] The server organizes the list of new plans and projects and categorizes similar cases. Here, multiple new plans are grouped. This organization makes it easier to search and manage similar cases. The output is an organized list of new plans.

[1527] Step 9:

[1528] The server then makes new proposals based on the organized new project data. In this process, multiple similar projects are combined to generate projects that create new value. The output is a list of new proposals.

[1529] Step 10:

[1530] Through the smart glasses, workers receive real-time emotional analysis data, which allows them to understand their emotional state and take steps to relax if necessary. The output is the emotional analysis data provided to the workers.

[1531] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1532] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1533] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1534] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1535] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1536] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1537] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1538] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1539] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1540] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1541] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1542] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1543] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1544] 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.

[1545] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1546] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1547] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1548] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1549] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1550] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1551] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1552] The following is further disclosed regarding the above embodiment.

[1553] (Claim 1)

[1554] a means of entering details about a new initiative or project;

[1555] A means for analyzing the input information and automatically selecting the necessary department and related members;

[1556] A means to automatically schedule and notify selected departments and members of the first meeting;

[1557] means for automatically generating an organizational chart and milestones for the project;

[1558] A means for organizing the list of new plans or projects and classifying similar cases;

[1559] A means for proposing a new plan from the organized new plans;

[1560] A system including:

[1561] (Claim 2)

[1562] The system of claim 1 , further comprising means for automatically sending emails to the selected departments and members.

[1563] (Claim 3)

[1564] The system according to claim 1, further comprising means for selecting an appropriate department and members based on the skills required for the new plan or project.

[1565] "Example 1"

[1566] (Claim 1)

[1567] a means of entering details about a new initiative or project;

[1568] A means for analyzing the input information and automatically selecting the necessary departments and related personnel;

[1569] A means of automatically scheduling and notifying the selected departments and personnel of the first meeting;

[1570] means for automatically generating a personnel structure and progress goals for the project;

[1571] A means for organizing the list of new plans or projects and classifying similar cases;

[1572] A means for proposing a new plan from the organized new plans;

[1573] A system including:

[1574] (Claim 2)

[1575] 10. The system of claim 1, further comprising means for automatically sending emails to selected departments and personnel.

[1576] (Claim 3)

[1577] 2. The system according to claim 1, further comprising means for selecting an appropriate department and personnel based on the required skills of the new plan or project.

[1578] "Application Example 1"

[1579] (Claim 1)

[1580] a means of entering details about a new initiative or project;

[1581] A means for analyzing the input information and automatically selecting the necessary department and related members and machines;

[1582] A means for automatically setting and notifying selected departments, members, and machines of their initial work schedules;

[1583] means for automatically generating an organizational chart and milestones for the project;

[1584] A means for organizing the list of new plans or projects and classifying similar cases;

[1585] A means for proposing a new plan from the organized new plans;

[1586] A system including:

[1587] (Claim 2)

[1588] The system of claim 1 , further comprising means for automatically sending notifications to the selected departments, members, and machines.

[1589] (Claim 3)

[1590] The system according to claim 1, further comprising means for selecting an appropriate department, member, and machine based on the required skills of the new plan or project.

[1591] "Example 2: Combining Emotion Engines"

[1592] (Claim 1)

[1593] a means of entering details about a new initiative or project;

[1594] means for analyzing the input information using an emotion engine that recognizes the user's emotional state and automatically selecting the necessary department and related members;

[1595] A means for automatically scheduling and notifying the selected departments and members of the first meeting, taking into account the user's emotional state;

[1596] means for automatically generating an organizational chart and milestones for the project;

[1597] A means for organizing the list of new plans or projects and classifying similar cases;

[1598] A means for proposing a new plan from the organized new plans;

[1599] A system including:

[1600] (Claim 2)

[1601] The system of claim 1 , further comprising means for automatically sending email to the selected departments and members.

[1602] (Claim 3)

[1603] The system according to claim 1, further comprising means for selecting an appropriate department and members based on the skills required for the new plan or project.

[1604] "Application example 2 when combining emotion engines"

[1605] (Claim 1)

[1606] a means of entering details about a new initiative or project;

[1607] means for analyzing the input information and recognizing the emotional state of the user;

[1608] means for automatically selecting the necessary departments and associated members based on the emotional state of the user;

[1609] A means for automatically scheduling and notifying the selected departments and members of an initial meeting based on the user's emotional state;

[1610] means for automatically generating an organizational chart and milestones for the project;

[1611] A means for organizing the list of new plans or projects and classifying similar cases;

[1612] A means for making new proposals from the new projects that have been organized;

[1613] A means for workers to receive real-time sentiment analysis data; and

[1614] A system including:

[1615] (Claim 2)

[1616] The system of claim 1 , further comprising means for automatically sending emails to the selected departments and members.

[1617] (Claim 3)

[1618] 10. The system according to claim 1, further comprising means for selecting an appropriate department and members based on the skills required for the new plan or project. [Explanation of symbols]

[1619] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means of entering details about a new initiative or project; A means for analyzing the input information and automatically selecting the necessary department and related members; A means to automatically schedule and notify selected departments and members of the first meeting; A means for automatically generating an organizational chart and milestones for the project; A means for organizing the list of new plans or projects and classifying similar cases; A means for proposing a new plan from the organized new plans; A system including:

2. The system according to claim 1 , further comprising means for automatically sending emails to the selected departments and members.

3. The system according to claim 1 , further comprising means for selecting an appropriate department and members based on the skills required for the new plan or project.

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