Information processing equipment, server equipment, information processing system, program

Abstract

To assist in entering text into input fields. [Solution] The present invention relates to an information processing device 10, which has a screen that includes a plurality of input fields, including at least a specific input field for receiving text input, and a display unit that displays a screen capable of receiving instructions to create text to be entered in the specific input field, and a transmission unit 11b that transmits data entered in each of the plurality of input fields to a server device, and a request transmission unit 15 that, upon receiving an instruction, transmits a request to a generation AI system that includes information indicating one or more items other than a specific item related to the specific input field, data entered by the user in the input field, and instructions to create text to be entered in the specific item based on the information indicating one or more items and the data, and an input processing unit 16 that inputs the received text into the specific input field.

Description

Technical Field

[0001] The present invention relates to an information processing apparatus, a server apparatus, an information processing system, and a program.

Background Art

[0002] There is known a so-called generative AI that utilizes AI technology to generate text data, image data, voice data, etc. The generative AI can utilize learned patterns and data relationships to generate new text data.

[0003] Techniques for assisting creation using generative AI have been devised (see, for example, Patent Document 1). Patent Document 1 discloses a technique for outputting a title in response to an input of a genre and keywords, and generating a summary in response to an input of a title and keywords.

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the conventional technology has a problem that it is unable to generate the text to be input into the input field of an item. For this reason, the user has to manually input a text suitable for the item.

[0005] In view of the above problems, the present invention provides a technique for assisting the input of text into an input field.

Means for Solving the Problems

[0006] The present invention relates to an information processing device connected via a network to a server device that stores data entered into each of a plurality of items and a generation AI system, the device having a display control unit that displays a screen on a display unit which includes a plurality of input fields that each accept user input of data to be entered into the plurality of items, and which includes at least one specific input field that accepts text input, and which is capable of receiving instructions to create text to be entered into the specific input field, and a transmission unit that transmits data entered into each of the plurality of input fields to the server device in response to user operation, and when the present invention receives the instructions from the user, the device has a request transmission unit that transmits a request to the generation AI system which includes information indicating one or more items among the plurality of items other than the specific item relating to the specific input field, data entered by the user in the input field corresponding to the one or more items, and instructions to create text to be entered into the specific input field of the specific item based on the information indicating the one or more items and the data, a receiving unit that receives text information of text created by the generation AI system based on the request, and an input processing unit that inputs the text relating to the received text information into the specific input field. [Effects of the Invention]

[0007] This invention can assist in entering text into an input field. [Brief explanation of the drawing]

[0008] [Figure 1] This is an example of an application creation screen displayed on a user's terminal. [Figure 2] This figure shows an example of the input screen for a business trip report application displayed on the user's terminal. [Figure 3] This diagram illustrates the process by which a user enters values ​​into the input fields of a business trip report application. [Figure 4] This diagram illustrates the flow of information setting services performed by an information processing system. [Figure 5] This is a diagram showing the system configuration of an example of an information processing system. [Figure 6] This diagram shows an example hardware configuration for an application service, a user terminal, and a developer terminal. [Figure 7] This diagram shows an example of the functional configuration of an application service and a user terminal. [Figure 8] This figure shows an example of the information set in the application's input fields. [Figure 9] This figure shows an example of information regarding the input fields of an application. [Figure 10] This is an example sequence diagram illustrating the processes performed by an information processing system. [Figure 11] This figure shows an example of parameters included in the request message that the user terminal sends to the AI ​​generation system in step S8 of Figure 10. [Figure 12] This diagram explains the prompt that is set in "Prompt" in Figure 11. [Figure 13] This figure shows the format of the response message sent from the generating AI system to the user terminal in step S9 of Figure 10. [Figure 14] This diagram shows an example of an input screen for a business trip report application displayed on a user's terminal. [Figure 15] This figure shows an example prompt generated by the request generation unit. [Figure 16] This figure shows an example of a response message from the generation AI system to the request message shown in Figure 15. [Figure 17] This figure shows an example of the input screen of a business trip reporting app, with the generated values ​​already set in the daily report section of the business trip reporting app. [Figure 18] This diagram shows an example of an input screen for a school newsletter creation app displayed on a user's device. [Figure 19A] This diagram shows information about the input fields in an example of a newsletter creation app for kindergartens. [Figure 19B] This diagram shows the information set in the input fields of an example of a newsletter creation app. [Figure 20]This is a diagram showing an example of a prompt generated by the request generation unit. [Figure 21] This is a diagram showing an example of a response message from the generation AI system for the request message in FIG. 20. [Figure 22] This is a diagram showing an input screen of an example of a garden newsletter creation app in a state where the generated value is set in the garden newsletter text field of the garden newsletter creation app. [Figure 23] This is a diagram showing an input screen of an example of a business trip report app displayed on a user terminal. [Figure 24] This is a diagram showing an example of a prompt generated by the request generation unit. [Figure 25] This is a diagram showing an example of a prompt input screen that is pop-up displayed on the input screen of the business trip report app. [Figure 26] This is a diagram showing an example of a prompt in the request message generated by the request generation unit. [Figure 27] This is a diagram showing an example of a confirmation dialog that is pop-up displayed on the input screen of the business trip report app. [Figure 28] This is a diagram showing an example of an input item selection dialog that is pop-up displayed on the input screen of the business trip report app. [Figure 29] This is a diagram showing an example of a prompt generated by the request generation unit. [Figure 30] This is a diagram showing an example of a prompt generated by the request generation unit. [Figure 31] This is a diagram showing an input screen of an example of a garden newsletter creation app displayed on a user terminal. [Figure 32] This is a diagram showing an example of a generation target selection dialog that is pop-up displayed on the input screen of the garden newsletter creation app. [Figure 33] This is a diagram showing an example of a prompt generated by the request generation unit. [Figure 34] This is a diagram showing an example of a response message from the generation AI system for the request message in FIG. 33. [Figure 35]This figure shows an example of the input screen of a school newsletter creation app, with the generated values ​​already set. [Figure 36] This figure shows an example prompt using few-shot prompting. [Figure 37] This is an example sequence diagram illustrating the processing of an information processing system when using few-shot prompting. [Modes for carrying out the invention]

[0009] The following describes an example of a configuration method used by an information processing system to implement this disclosure.

[0010] <About Application Services> Application services are services that assist users in creating applications using low-code or no-code methods. Such services are also known as visual programming. Application services send a web application that assists in application creation to the user's terminal. Users can then create various applications by interacting with the web application running on their terminal.

[0011] Figure 1 shows the application creation screen 200 displayed on the user terminal. The application creation screen 200, as an example, includes a form area 208 and a work area 209. The form area 208 displays a list of forms that can be placed in the application. A form is a display component that makes up a screen, and examples include input forms, selection forms, and file registration forms. Figure 1 shows a text form 201, a numeric form 202, a radio button form 203, a checkbox form 204, and an attachment form 205. These are just examples.

[0012] String form 201 is a form for entering text. Full-width characters, half-width characters, numbers, symbols, etc., can be entered into string form 201.

[0013] Numeric form 202 is a form for entering numerical values. Only numerical values ​​can be entered into Numeric form 202.

[0014] Radio button form 203 is a form for buttons that accept the selection of one option from multiple options. Radio button form 203 has fields for displaying the options.

[0015] Checkbox form 204 is a form for checkboxes that accepts the selection of one or more options from multiple choices. Checkbox form 204 has fields for displaying the options.

[0016] Attachment form 205 is a form that accepts settings for files to be registered in the application. Attachment form 205 may restrict the file formats that can be accepted for registration.

[0017] The workspace 209 is the area where the user places forms. The user can drag and drop forms from the form area 208 into the workspace 209 using the mouse pointer. Alternatively, the user can drag and drop forms into the workspace 209 using their finger or a pen on the touch panel.

[0018] The form placed in work area 209 is referred to as input field 206. Input field 206 has one or more input fields, but for simplicity, it will sometimes simply be referred to as input field below. A label 207 is displayed on input field 206. Label 207 is the name of input field 206. The user enters an appropriate label for input field 206. The user can repeat this process to create any application. For example, the user can create a business trip report application like the one below by placing a text form 201 in work area 209 and entering labels such as "traveler" and "business trip date". Note that the position of an already placed input field 206 can also be changed in work area 209.

[0019] Figure 2 shows the input screen 210 of the business trip report application. This business trip report application has fields for the traveler 211, the date of the trip 212, the destination 213, the purpose 214, the result 215, the daily report 216, and a save button 217. Except for the save button 217, these are input fields. Users can use the application created in this way for work and other purposes. For example, when an employee goes on a business trip, the employee uses the business trip report application. The employee enters the traveler's information into the respective input fields. This allows the business trip report application to digitize information, or to share information with a team.

[0020] Figure 3 illustrates the process of a user entering values ​​into the input fields of the business trip report application. Figure 3(a) shows the application list 220 displayed on the user's terminal. The application list 220 is a list of applications created and registered by the user in the application service using the procedure shown in Figure 1. As an example, the application list 220 displays the business trip report application 221 and the nursery newsletter creation application 222. Here, the user selected the business trip report application 221. The application creation button 223 is a button that displays a screen like the one in Figure 1.

[0021] Figure 3(b) shows the record list 224 displayed by the user terminal. The record list 224 displays a table-like list of travel information registered in the travel report application 221. A record is a single row of data when data in a database is arranged in a two-dimensional table. One record represents one piece of travel information. A record 225 has multiple input fields. These input fields are sometimes called fields. A single column is called a column. In Figure 3(b), no travel information has been registered, so the record list 224 is blank.

[0022] When the user presses the Add Record button 226, the input screen 210 of the business trip report application is displayed. Figure 3(c) shows the input screen 210 of the business trip report application. As described above, the input screen 210 of the business trip report application has input fields created by the user for the business trip report application 221. The user enters values ​​into the input fields and presses the Save button 227. The input content (in this case, business trip information) is saved as a record in the application service.

[0023] Figure 3(d) shows the record list 224 displayed by the user terminal. The travel information entered on the input screen 210 of the travel report application in Figure 3(c) is displayed as one record.

[0024] Thus, since input is usually done using a keyboard, it placed a heavy burden on the user. Furthermore, there was a risk of input errors.

[0025] <Processing flow> In this embodiment, the user terminal sends a list of application input items and values ​​already entered in those input items to the generation AI system and requests the generation of values. The generation AI system can perform various natural language processing tasks, such as text generation, question answering, text classification, sentiment analysis, information extraction, and text summarization. There are also known generation AI systems, such as Copilot®, that suggest the next code to write while a program is being coded. In this embodiment, we describe a technique that generates values ​​for other input items from a list of input items and some already entered values, without the user having to converse (also called chat) with the generation AI system. Note that the generation AI system or its function may sometimes simply be referred to as AI (Artificial Intelligence).

[0026] The generation AI system analyzes a list of input fields and the values ​​already entered in those fields, generates values ​​to be entered into the specified input fields, and sends them to the user terminal. The user terminal registers the generated values ​​with the application service.

[0027] Furthermore, users can create any application they use for work or other purposes, not just the business trip reporting application, using the application service. Therefore, the information processing system of this embodiment can generate appropriate values ​​for the input fields of any application using the generation AI system 50 and set them as input fields of the application service.

[0028] Figure 4 illustrates the process by which the information processing system 100 sets values ​​in the application service 40. A web application is running on the user terminal 10. The application for which values ​​are to be set in the input fields is assumed to have already been created in the application service 40. The generation AI system 50 analyzes the list of input fields that the application has and the values ​​already entered in the input fields to generate values ​​to be set in the specified input fields.

[0029] (1) First, the user terminal 10, which is operated by the user, obtains the application name from the application service 40 to set a value in the input field. The application name is optional, or instead of the application name, the user may obtain the application description document (the application description, which has been set in advance by the user).

[0030] (2) The user terminal 10 also obtains a list of input items provided by the application from the application service 40.

[0031] (3) The user terminal 10 also retrieves values ​​that have already been entered in the application's input fields from the application service 40. For example, a user is using the business trip report application to create a business trip report, and the values ​​that have already been entered in the input fields for this business trip report are retrieved. However, the user terminal 10 may also retrieve values ​​that have already been entered in the input fields for any business trip information from the application service 40. Note that the values ​​that the user has entered in the input fields to create the business trip report are already held by the user terminal 10, so it is not necessary to retrieve them from the application service 40. Note that (1) to (3) are not in any order, and the user terminal 10 may retrieve information (1) to (3) simultaneously.

[0032] (4) The user terminal 10 requests the generation AI system 50 to generate values ​​by specifying the information about the application obtained in (1) to (3) (list of input items, values ​​already entered in the input items, and the application name) and the input items for which it wants to generate values. The generation AI system 50 analyzes the list of input items, the values ​​already entered in the input items, and the application name, generates values ​​to be set in the input items, and sends them to the user terminal 10.

[0033] (5) The user terminal 10 associates the values ​​obtained from the generation AI system 50 with the input items and sends them to the application service 40, thereby setting the values ​​in the input items of the application service 40.

[0034] Thus, in this embodiment, the information processing system 100 allows the generation AI system 50 to analyze information about an application and set values ​​for input items of any application.

[0035] <About Terminology> An application is an application program, a program generated by a computer in response to a specific task. While an OS (Operating System) is general-purpose software that provides basic functions and systems for the computer's operation (file system, communication, display control, etc.), an application provides specific functions on top of the OS. Applications include web applications and native applications. In this embodiment, either type may be developed.

[0036] An API is an application (software) interface, serving as a point of contact for connecting systems and sharing functions and mechanisms. An API defines the specifications for the interface that applications use to exchange information with each other. A computer-to-computer API is a specification for communication between one website and another via HTTP (HTTPS) communication. Through this communication, one website can use the functions of the other website. Computer-to-computer APIs are sometimes referred to as Web APIs.

[0037] An API takes a specific request (e.g., retrieving, updating, deleting, or processing data) and returns a result (e.g., data, update result, deletion result, processing result, etc.) in response. The request is sometimes called a request message, and the result is sometimes called a response message. Calling an API means sending a request according to the API's specifications and obtaining the result. Calling an API may also be described as executing, operating, hitting, or using it.

[0038] A user is an end-user who uses the applications provided by Application Service 40. Users can also develop applications. A developer is a person who configures Application Service 40 for the necessary settings for developing and using applications using no-code or low-code programming.

[0039] An item is each item that has an input field for entering information. The input field can accept various types of information, including strings, numbers, symbols, as well as image data, audio data, video data, files, and information for selecting options.

[0040] The specific input field that accepts text input is the input field into which values ​​to be generated by the generation AI system 50 are entered. The one or more items other than the specific item related to the specific input field are the input fields of the application other than the specific input field. These one or more items may have values ​​entered by the user.

[0041] [First Embodiment] <Example System Configuration> Referring to Figure 5, the system configuration of the information processing system 100 according to this embodiment will be described. Figure 5 is a diagram showing the system configuration of an example of the information processing system 100. The information processing system 100 shown in Figure 5 has a user terminal 10, a developer terminal 60, and an application service 40. The user terminal 10 and the developer terminal 60 are connected to the application service 40 so as to be able to communicate via networks N1 and N2. The information processing system 100 may further have a generation AI system 50. The user terminal 10 and the developer terminal 60 are connected to the generation AI system 50 so as to be able to communicate via networks N1 and N2. The application service 40 may also be able to communicate with the generation AI system 50 via an API (Application Programming Interface).

[0042] The user terminal 10 and developer terminal 60 are located in facilities such as companies or homes and are connected to network N2. Network N2 can be a LAN, Wi-Fi (registered trademark), Wide Area Ethernet (registered trademark), 4G, 5G, 6G, or other mobile phone network. Network N1 is a wide-area network such as the Internet or WAN. The user terminal 10 and developer terminal 60 do not need to be constantly connected to network N2; they only need to be connected when using the generation AI system 50 or application service 40.

[0043] The generative AI system 50 provides a service that allows users to converse with artificial intelligence (AI) in natural language. A well-known example of such a generative AI system 50 is one that utilizes large-scale language models (LLMs). Large-scale language models are natural language processing models trained using large amounts of text data. The generative AI system 50 pre-inputs a vast amount of text and learns knowledge from it using deep learning, reinforcement learning, etc. Using this knowledge, the generative AI system 50 provides response messages to chat messages. Chat messages include prompts and files (files are not required in this embodiment), which will be described later. A prompt refers primarily to the text data within a chat message.

[0044] The generation AI system 50, which generates text from data based on chat messages, is sometimes referred to as the generation AI. In this embodiment, the response messages provided by the generation AI system 50 are used to generate values ​​for input fields of an application running in the application service 40. The application running in the application service 40 includes a web application that runs on the application service 40 and a native application installed on the user terminal 10. When the native application installed on the user terminal 10 is executed on the user terminal 10, it connects to the application service 40 and executes the functions of the application service 40.

[0045] The generation AI system 50 has the following characteristics: 1. The generating AI system 50 conducts the conversation in a natural flow. 2. The generation AI system 50 can expand on ideas and propose them even in fields where the user lacks expertise. 3. The generation AI system 50 can output accurate program code. Taking advantage of these features, users can specify information about the application and the input fields for which they want to generate values, and receive values ​​to set in the specified input fields from the AI ​​system 50.

[0046] As a generation AI system 50, systems using LLMs such as GPT-3, GPT-4, Transformer, and BERT (all registered trademarks) are known. In the information processing system 100 of this embodiment, ChatGPT using GPT-3 or GPT-4 can be used as an example, but other systems using LLMs may also be used.

[0047] Application Service 40 is one or more information processing devices that provide applications for users to run. Application Service 40 is also a server device that provides an application for managing information entered by users into input fields. The applications provided by Application Service 40 are, for example, database-type web applications that manage data in a tabular format. Users can create their own input fields for the application and customize it to save, read, or process data related to their work.

[0048] In this embodiment, the user terminal 10 obtains information about the application from the application service 40. The user terminal 10 sends the information about the application and the input items for which it wants to generate values ​​to the generation AI system 50, and receives a response message (input items and their values) from the generation AI system 50. The user terminal 10 sends the input items and their values ​​back to the application service 40. Therefore, the user can automatically set information that would otherwise need to be manually entered into the application.

[0049] Examples of application services 40 include cloud services, ASPs (Application Service Providers), SaaS, etc., and may include various services provided over a network. For example, database provision and storage services are examples of such services. Application services 40 may reside on the internet or on-premises.

[0050] Furthermore, the application service 40 may have its functions distributed across multiple information processing devices, or multiple application services 40 with the same function may exist, and the number of information processing devices that distribute video may increase or decrease depending on the processing load.

[0051] In addition, a separate web server may exist in addition to the application service 40, and this web server may communicate with the user terminal 10. In this case, the user terminal 10 still communicates with the generation AI system 50, but the web server communicates with the application service 40 instead of the user terminal 10.

[0052] A server is a computer or software that provides information and processing results in response to requests from clients.

[0053] Furthermore, the application service 40 accepts various settings from the developer terminal 60. These settings include user registration with the application service 40 and registration of a web application for creating chat messages. In other words, the administrator performs the task of setting values ​​for the application's input fields using the generation AI system 50 with the application service 40.

[0054] The user terminal 10 or developer terminal 60 is, for example, a terminal device (an example of an information processing device) such as a PC (Personal Computer), smartphone, or tablet used by the user or developer. A web browser or native application runs on the user terminal 10 or developer terminal 60. The developer operates the developer terminal 60 to create configuration information for the application. The user operates the user terminal 10 to enter chat messages. The administrator or user can operate the developer terminal 60 and the user terminal 10 to use various services provided by the generation AI system 50 or application service 40.

[0055] The user terminal 10 or developer terminal 60 can be any information processing device. Examples of such information processing devices include output devices such as electronic whiteboards and digital signage, HUD (Head Up Display) devices, industrial machinery, imaging devices, sound collection devices, medical equipment, networked home appliances, mobile phones, smartphones, tablet devices, car navigation systems, game consoles, PDAs (Personal Digital Assistants), digital cameras, and wearable PCs.

[0056] <Example Hardware Configuration> Referring to Figure 6, the hardware configurations of the application service 40, user terminal 10, and developer terminal 60 included in the information processing system 100 will be described. The generation AI system 50 is assumed to be the same as in Figure 6, or to be an information processing device hardware configuration compatible with cloud computing.

[0057] <<Application services, user terminals, and developer terminals>> Figure 6 shows an example of the hardware configuration of an application service 40, a user terminal 10, and a developer terminal 60. As shown in Figure 6, the application service 40, user terminal 10, and developer terminal 60 are built by a computer 500, which includes a CPU 501, ROM 502, RAM 503, HD (Hard Disk) 504, HDD (Hard Disk Drive) controller 505, display 506, external device connection I / F (Interface) 508, network I / F 509, bus line 510, keyboard 511, pointing device 512, optical drive 514, and media I / F 516.

[0058] Of these, the CPU 501 controls the operation of the entire computer 500. The ROM 502 stores programs used to drive the CPU 501, such as the IPL. The RAM 503 is used as the work area for the CPU 501. The HD 504 stores various data such as programs. The HDD controller 505 controls the reading or writing of various data to the HD 504 according to the control of the CPU 501. The display 506 displays various information such as cursors, menus, windows, characters, or images. The external device connection I / F 508 is an interface for connecting various external devices. In this case, external devices include, for example, USB (Universal Serial Bus) memory and printers. The network I / F 509 is an interface for data communication using the network N2. The bus line 510 is an address bus, data bus, etc., for electrically connecting each component such as the CPU 501 shown in Figure 6.

[0059] The keyboard 511 is a type of input means equipped with multiple keys used for inputting characters, numbers, or various instructions. The pointing device 512 is a type of input means used for selecting and executing various instructions, selecting processing targets, moving the cursor, etc. The optical drive 514 controls the reading or writing of various data to the optical storage medium 513, which is an example of a removable recording medium. The optical storage medium is a DVD, CD, etc. The media interface 516 controls the reading or writing (storage) of data to the recording medium 515, such as flash memory.

[0060] <About the features> Next, with reference to Figure 7, the functional configuration of the information processing system 100 will be described. Figure 7 is a diagram showing an example of the functional configuration of the application service 40 and the user terminal 10.

[0061] <<User Terminal>> The user terminal 10 includes a communication unit 11, a display control unit 12, an operation reception unit 13, a request generation unit 14, a request transmission unit 15, an input processing unit 16, and a specification unit 17. Each of these functional units is a function or means realized by the CPU 501 shown in Figure 6 executing instructions contained in one or more programs installed on the user terminal 10. For example, the communication unit 11, the display control unit 12, the operation reception unit 13, the request generation unit 14, the request transmission unit 15, the input processing unit 16, and the specification unit 17 may be realized by a web browser and a web application. The web application is sent from the application service 40 to the user terminal 10. If the user terminal 10 runs a native application, these may be realized by the native application.

[0062] The communication unit 11 sends and receives various types of information between the application service 40 and the generation AI system 50. The communication unit 11 has a receiving unit 11a and a transmitting unit 11b. In this embodiment, the receiving unit 11a receives information about the application from the application service 40. The transmitting unit 11b sends information about the application and input items to be generated to the generation AI system 50. The receiving unit 11a receives values ​​to be set for the input items from the generation AI system 50. The generation AI system 50 exposes an API, and the transmitting unit 11b sends a request message including a chat message to the generation AI system 50 by calling the API. Thus, the request message is information including a chat message, but this is a general term for HTTP communication, and sometimes the chat message is referred to as the request message.

[0063] The display control unit 12 interprets screen information from various screens and displays it on the display 506. The operation reception unit 13 receives various user operations on the various screens displayed on the display 506.

[0064] The request generation unit 14 generates a request message that calls the API exposed by the generation AI system 50. The request message requests the generation AI system 50 to generate information. The request message includes a text portion called a prompt and a file (which can be the file itself or a URL). The request message may also include image data, audio data, etc.

[0065] The request transmission unit 15 sends a request to the generation AI system 50 that includes information indicating one or more input items among a plurality of input items, excluding a specific input item related to a particular input field; values ​​entered by the user in the input fields corresponding to those one or more input items; and instructions to create text to be entered in a specific input field of a specific input item based on the information indicating the one or more input items and the data. This request is a request message generated by the request generation unit 14.

[0066] The input processing unit 16 inputs the text information transmitted from the generation AI system 50 into a specific input field.

[0067] The identification unit 17 identifies the image data uploaded to the generation AI system 50 as the image data to be extracted. The identification unit 17 further receives information from the generation AI system 50 that identifies the application selected by the user, and identifies the input items based on the information that identifies the application.

[0068] The identification unit 17 includes an item identification unit 17a and an application identification unit 17b. The application identification unit 17b receives information from the generating AI system 50 that identifies the application selected by the user, and identifies the application based on the information that identifies the application. The item identification unit 17a identifies the item corresponding to the application.

[0069] <<Application Services>> The application service 40 includes a communication unit 41, a screen generation unit 42, an application information management unit 43, a program transmission unit 44, and an application information storage unit 49. Each functional unit of the application service 40 is a function or means realized by the CPU 501 shown in Figure 6 executing instructions contained in one or more programs installed in the application service 40. The application information storage unit 49 is built on the HD 504 or RAM 503 shown in Figure 6. The application information storage unit 49 does not necessarily have to be present in the application service 40; it only needs to be on a network that the application service 40 can access.

[0070] The communication unit 41 sends and receives various information with the user terminal 10. The communication unit 41 sends application-related information to the user terminal 10 in response to requests from the user terminal 10. The communication unit 41 also sends the web application that the user terminal 10 runs and the screen information that the web application displays to the user terminal 10.

[0071] The screen generation unit 42 generates screen information for the screen displayed by the user terminal 10. The screen information is a program written in HTML, JSON, XML, a scripting language, and CSS (Cascading Style Sheet), and may be called a web application. The structure of the web page is mainly specified by HTML, the operation of the web application is defined by the scripting language, and the style of the web page is specified by CSS. In some cases, the user terminal 10 may run a native application. A native application is an application that cannot be run unless it is installed on the user terminal 10. In the case of a native application, the user terminal 10 holds the screen configuration, and the information to be displayed is sent in JSON, XML, etc.

[0072] The application information management unit 43 manages application information for each application in the application information storage unit 49. The application information includes information set in the application's input fields and information related to the input fields that the application possesses.

[0073] Therefore, the application information storage unit 49 stores information set in the application's input fields and information related to those input fields (see Figures 8 and 9).

[0074] The program transmission unit 44 transmits a program to the user terminal 10 in response to a program request sent from the user terminal 10. This program is a web application, and furthermore, it is a web application that includes, for example, JavaScript (registered trademark).

[0075] Figure 8 shows an example of information set in the input fields of an application. The information set in these input fields includes information manually set by the user and information generated by the generation AI system 50. Figure 8 shows the information set in the input fields of an application, using the business trip report application as an example. The information set in the input fields is managed on a record basis. Records are identified by an ID. In the case of the business trip report application, the information set in the input fields is called business trip information. Business trip information has values ​​for traveler, travelDate, destination, purpose, result, and dailyReport. Note that traveler, travelDate, destination, purpose, result, and dailyReport correspond to the input fields and are the same as the name field in Figure 9.

[0076] Figure 9 shows an example of information regarding application input fields. This information defines what kind of information is stored in each input field.

[0077] The `name` field is the identifier for the input field that application service 40 uses to manage and identify the input field.

[0078] The `label` field is the name (the so-called label) of the input field displayed on the input screen 210 of the business trip report application.

[0079] The `type` field specifies the data format of the input field.

[0080] The `constraints` field defines conditions for the values ​​of input fields. For example, if the input field for `label` is "Daily Report," the condition is set that the maximum number of characters (`maxLength`) is 200.

[0081] <Action or process> Next, we will explain the overall flow of processing performed by the information processing system 100 with reference to Figure 10. Figure 10 is a sequence diagram illustrating the processing performed by the information processing system 100. The business trip report application has already been registered in the application service 40. In addition, some input fields of the business trip report application have values ​​set, but it is assumed that there are input fields for which no values ​​have been set.

[0082] S1: The user terminal 10 displays the input screen 210 of the business trip report application (see Figure 14). If the input screen 210 of the business trip report application is implemented by a web application, the transmission unit 11b sends a request to the application service 40 for one or more programs to be executed on the user terminal 10. The program transmission unit 44 of the application service 40 sends the web application to the user terminal 10. The web application includes a program. This program displays a screen on a display unit that includes multiple input fields, each accepting user input of values ​​to be entered into multiple input items, and at least one specific input field that accepts text input, and that can receive instructions to create text to be entered into the specific input field. In response to user operations, the program transmits the values ​​entered into each of the multiple input fields to the generation AI system 50. When instructions are received from the user, the program transmits a request to the generation AI system 50 that includes information indicating one or more items among the multiple input items other than the specific item related to the specific input field, data entered by the user in the input fields corresponding to those one or more items, and instructions to create text to be entered into the specific input field of the specific input item based on the information indicating the one or more items and the data. The program receives text information of the text created based on the request from the generation AI system 50 and inputs the text related to the received text information into the specific input field.

[0083] The user initiates AI input by pressing the "AI Input" button 228. The operation reception unit 13 of the user terminal 10 receives this operation. AI input is a series of processes that generate values ​​for input items by analyzing information about the application and set them in the application service 40.

[0084] S2: In response to this operation, the communication unit 11 of the user terminal 10 requests the application name from the application service 40, specifying the application's identification information. Currently, the application displayed by the user terminal 10 is identified, so the application's identification information is also known. To set a value for an application that the user terminal 10 is not displaying, for example, the user selects the application. The reason for requesting the application name is to make it easier for the generation AI system 50 to generate values ​​for the input fields. Therefore, the application name is not required. Alternatively, the communication unit 11 may request a description of the application instead of the application name. The description of the application might be, for example, "This application assists in creating business trip reports."

[0085] S3: The communication unit 41 of the application service 40 receives the request, and the application information management unit 43 obtains the application name from the application information identified by the application identification information. The communication unit 41 of the application service 40 sends the application name to the user terminal 10. The receiving unit 11a of the user terminal 10 receives the application name.

[0086] S4: Next, the communication unit 11 of the user terminal 10 requests a list of input items from the application service 40 by specifying the application's identification information. S5: The communication unit 41 of the application service 40 receives the request, and the application information management unit 43 obtains a list of input items from the information about the input items identified by the application identification information. The communication unit 41 of the application service 40 sends the list of input items to the user terminal 10. The receiving unit 11a of the user terminal 10 receives the list of input items.

[0087] S6: Next, the communication unit 11 of the user terminal 10 specifies the application identification information and the identification information of the business trip information currently displayed on the business trip report application input screen 210, and requests the application service 40 for the values ​​that have already been entered in the input fields. The values ​​that have already been entered in the input fields are the values ​​of input fields for which values ​​have already been set. The user terminal 10 may specify all input fields and retrieve only the values ​​of the input fields for which values ​​have been set, or it may specify input fields for which values ​​have been entered on the business trip report application input screen 210. Note that the values ​​that the user has entered in the input fields to create the business trip report are held by the user terminal 10, so they do not need to be retrieved from the application service 40.

[0088] S7: The communication unit 41 of the application service 40 receives the request, and the application information management unit 43 retrieves the values ​​entered in the input fields from the application identification information and the travel information identified by the travel information identification information. The communication unit 41 of the application service 40 sends the values ​​entered in the input fields to the user terminal 10. The receiving unit 11a of the user terminal 10 receives the values ​​entered in the input fields.

[0089] S8: Next, the request generation unit 14 of the user terminal 10 generates a request message (list of input items, values ​​already entered in the input items, application name, input items for which values ​​are to be generated). The request transmission unit 15 sends a request to the generation AI system 50 to generate values ​​for the input items, specifying this request message. An example of this request message is shown in Figure 11.

[0090] S9: The generation AI system 50 analyzes the list of input items, the values ​​already entered in the input items, and the application name, and generates values ​​for the input items designated as input items for which values ​​should be generated. The generation AI system 50 sends a response message (input items and generated values) to the user terminal 10. The receiving unit 11a of the user terminal 10 receives the input items and generated values. In this embodiment, the generated values ​​for the input items are text data (sentences).

[0091] S10: Next, the request generation unit 14 of the user terminal 10 generates a request message requesting the registration of the input items and the generated values ​​to the application. The transmission unit 11b sends this request message to the application service 40. It is thought that the generation AI system 50 generates values ​​in cases where no value has been set for an input item, or in cases where some value has already been generated but the user wants to enrich the content of the input item. Therefore, if the generation AI system 50 generates a value for an input item that already has a value entered, the user terminal 10 requests the application service 40 to overwrite the input item. On the other hand, the user terminal 10 can also process the system so as not to overwrite the value generated by the generation AI system 50 for input items that already have a value entered. For example, if the generation AI system 50 generates a value for an input item that already has a value entered, the user terminal 10 may display a confirmation screen and the user may choose whether or not to overwrite it.

[0092] S11: The communication unit 41 of the application service 40 receives a request message, and the application information management unit 43 stores the values ​​in the application information storage unit 49, associating them with the input items of the application. The communication unit 41 of the application service 40 sends an input OK (value registration complete) message to the user terminal 10. The receiving unit 11a of the user terminal 10 receives the input OK message.

[0093] S12: The receiving unit 11a of the user terminal 10 sends a screen update request to the application service 40 to receive the latest application information, and the input processing unit 16 inputs the value (text) corresponding to the input item into the input field of the corresponding input item. If a value has already been entered in the input field, the input processing unit 16 overwrites it and inputs the value (text) generated by the generation AI system 50. The display control unit 12 displays the input screen 210 of the business trip report application with values ​​set in the input items.

[0094] <Example of a request message from user terminal 10 to generation AI system 50> Figure 11 shows the parameters included in the request message that the user terminal 10 sends to the generation AI system 50 in step S8 of Figure 10.

[0095] • messages241 is the API for the generation AI system 50, and the following indicates that it is a chat message.

[0096] Role242 is an API for the Generating AI System 50 and is a classification of the requester of a request message. It includes user, assistant (AI of the Generating AI System 50), and system (instruction for configuration by the AI ​​assistant).

[0097] • content243 is the API for the generation AI system 50, and it contains the dialogue text. Since content is an array, it can also specify a prompt and multiple image data. In Figure 11, three parameters 244-246 are described in JSON format. Two of these are files.

[0098] Parameters 244-246 are the format of the information to be sent to the generating AI system 50. "type" defines the data type. If "type" is "text", the value of "text" is "prompt" 249. A prompt is set in "prompt" 249. An example of a template prompt set in "prompt" 249 is shown in Figure 12. If "type" is "file_url", the value of "file_url" is "file"247,248, where "file"247,248 contains either the URL where the image data is stored or the Base64 encoded image. Note that if the application has only one input field for image data, then only one value each of parameters 244 and 245 is needed.

[0099] As shown in Figure 11, a request message combining the prompt and file is sent to the generation AI system 50. Note that the file is not required in this embodiment.

[0100] Figure 12 is a diagram illustrating the prompt set in "Prompt" 249 in Figure 11. The string in Figure 12 is a template for the request generation unit 14 to generate the prompt. The string has five ${...}. When a request message is sent, information about the application is set in ${appName}251, ${labels.join()}252, ${labels.length}253, ${currentValue}254, and ${targetLabel}255. That is, the five ${...} are replaced with information about the application. The other strings are boilerplate text and are held in advance by the request generation unit 14.

[0101] • ${appName}251 will be set to the app name. The app name is optional, or it can be a description of the application (that explains what the app is about).

[0102] The variable ${labels.join()}252 will contain a list of input fields.

[0103] The value ${labels.length}253 is set to the number of input fields.

[0104] The value entered in the input field will be set to ${currentValue}254.

[0105] The variable ${targetLabel}255 is set to the input field from which you want to generate a value (for example, one of the name fields). A specific example of this setting is explained in Figure 15.

[0106] <Example of a response message from the generating AI system 50 to the user terminal 10> Figure 13 shows the format of the response message sent from the generating AI system 50 to the user terminal 10 in step S9 of Figure 10. In other words, Figure 13 is the format, not the response message itself.

[0107] Messages256 indicates that the following is the response message.

[0108] • Role 257 is the classification of the sender that sends the response message, and in this case it is assistant (AI of Generating AI System 50).

[0109] • content258 is the content of the response message. Here, content258 is response 259 (input items and values) from the generating AI system 50. Details of the response message from the generating AI system 50 are explained in Figure 16.

[0110] <Example of setting values ​​for input fields> The following sections will explain how to set values ​​for input fields, using a business trip reporting app and a nursery newsletter creation app as examples.

[0111] <<Example of daily report settings for the business trip reporting app>> Referring to Figure 14, etc., we will explain an example of setting values ​​for the input fields of the business trip report application. Figure 14 is the input screen 210 of the business trip report application as displayed on the user's terminal. The explanation of Figure 14 will mainly focus on the differences from Figure 2. In the input screen 210 of the business trip report application, the daily report field 216 is a specific input field that accepts text input.

[0112] In Figure 14, the user entered values ​​in the Traveler field 211, Travel Date field 212, Destination field 213, Purpose field 214, and Result field 215. At this point, the goal was to have the AI ​​system 50 generate the values ​​for the Daily Report field 216. Therefore, the user pressed the "AI Input" button 228. The Daily Report field 216 is an input field that the user can manually enter even without input from the AI ​​system 50. The "AI Input" button 228 may become active (pressable) when a value is entered in one or more of the predetermined input fields in the business trip report application. The "AI Input" button 228 is a display component that accepts instructions to create text.

[0113] This section describes information about the business trip reporting application. First, the application name for the business trip reporting application is "Business Trip Reporting Application". Next, according to the information about the input items in Figure 9, the list of input items (label items) is: Traveler, Business Trip Date, Destination, Purpose, Result, and Daily Report. Of these, values ​​have already been entered for Traveler, Business Trip Date, Destination, Purpose, and Result. Therefore, the input item for which we want to generate a value is "Daily Report". The request generation unit 14 uses this information to set the application name, the list of input items, the input items and their values, and the input item for which we want to generate a value as prompts in Figure 12.

[0114] Figure 15 shows the prompt generated by the request generation unit 14. The following information is set in ${appName}251, ${labels.join()}252, ${labels.length}253, ${currentValue}254, and ${targetLabel}255 shown in Figure 12.

[0115] • ${appName}251 is set to "Business Trip Report App" 261.

[0116] • ${labels.join()}252 is set to "Traveler, Travel Date, Destination, Purpose, Result, Daily Report"262. In other words, the label field is set for information related to the input items. The name field is not set because the name field is usually identification information, and often contains information unrelated to the label.

[0117] • ${labels.length}253 is set to "6"263.

[0118] The entry ${currentValue}254 contains "{"Traveler":"Taro Patent","Travel Date":"2024 / 07 / 22","Destination":"〇× Dairy △ Factory","Purpose":"Meeting to discuss a factory tour.","Result":"The factory tour date was set for 10 / 13.","Daily Report":""}"264. In other words, input fields with values ​​entered are associated with those values. Input fields that do not have values ​​entered, such as "Daily Report," are associated with a blank "" field.

[0119] • ${targetLabel}255 is set to "Daily Report" 265. The input fields to be set in ${targetLabel}255 are predetermined. Alternatively, the request generation unit 14 may determine which input fields do not have values ​​entered and set those input fields in ${targetLabel}255. If there are two or more existing input fields that do not have values ​​entered, two or more input fields may be set in ${targetLabel}255.

[0120] The generating AI system 50 recognizes that the target is the business trip report app from the prompt's opening phrase, "business trip report app" 261. Next, the generating AI system 50 recognizes the input fields of the business trip report app from "traveler, business trip date, destination, purpose, result, daily report" 262. Next, the generating AI system 50 recognizes the values ​​already entered in the input fields. Next, the generating AI system 50 recognizes the request to "generate text to be entered into the daily report" and generates text to be entered into the "daily report" using the values ​​already entered in the input fields.

[0121] Figure 16 shows the response message from the generation AI system 50 to the request message in Figure 15. The generation AI system 50 analyzes the request message in Figure 15 and generates values ​​to be set in the "daily report". As an example, the generation AI system 50 generated the message: "Today, we had a meeting at the ○× Dairy △ Factory to discuss a factory tour. As a result of the discussion, the date for the factory tour was decided to be October 13th." Comparing this with the input values, it can be seen that the destination, purpose, and result are included in the response message.

[0122] The user terminal 10 uses the response message shown in Figure 16 to request the application service 40 to register a value in the business trip report application.

[0123] Although not shown in Figure 16, the response message may include information identifying the application that received the user's selection. This application identification information may be, for example, the application name. The application identification unit 17b identifies the application based on the application identification information. The item identification unit 17a then identifies the input item corresponding to this identified application (see Figure 9).

[0124] Figure 17 shows the input screen 210 of the business trip report application with the generated value set in the daily report section 216 of the business trip report application. The input processing unit 16 inputs the value corresponding to the input item into the input field of the corresponding input item. In other words, the text generated by the generation AI system 50, as shown in Figure 16, is set in the daily report section 216.

[0125] Furthermore, the values ​​created by the generation AI system 50, which are entered into the input fields by the input processing unit 16, can be edited manually by the user. In addition, by pressing a button such as "Complete" on the input screen 210 of the business trip report application, the user can register the values ​​(text) set in the input fields into the application.

[0126] In this way, by entering relatively easy-to-enter values ​​for the standardized input fields of the business trip report application, users can automatically set values ​​for predetermined input fields that would otherwise take more time to input. Since the user terminal 10 obtains information about the application from the application service 40, it can set appropriate values ​​for input fields of any application, not just the business trip report application.

[0127] Alternatively, the user may request the AI ​​generation system 50 to generate values ​​for the Traveler field 211, Travel Date field 212, Destination field 213, Purpose field 214, and Result field 215, even if only the user has entered a value in the Daily Report field 216. In this case, if the Daily Report field 216 contains this information, it can be expected that appropriate values ​​will be generated for each input field. Furthermore, in this case, the Traveler field 211, Travel Date field 212, Destination field 213, Purpose field 214, and Result field 215 are specific input fields that accept text input.

[0128] <<Example of newsletter text settings in the newsletter creation app>> Next, referring to Figure 18, etc., we will explain an example of setting values ​​for the input fields of the newsletter creation app. Figure 18 is the input screen 270 of the newsletter creation app displayed on the user terminal 10. This newsletter creation app has a date field 271, an event field 272, a short memo field 273, a newsletter text field 274, a photo attachment field 275, and an "AI Input" button 276. Except for the "AI Input" button 276, these are input fields. In the input screen 270 of the newsletter creation app, the newsletter text field 274 is a specific input field that accepts text input.

[0129] Users can use the nursery newsletter creation app for both work and personal purposes. For example, a nursery school staff member can use the nursery newsletter creation app to create newsletters to send to parents. This makes it easier to create newsletters to send to parents.

[0130] To set a value in the newsletter text field 274 using the generation AI system 50, for example, the user entered information in the date field 271, event field 272, short memo field 273, and photo attachment field 275. The photo attachment field 275 displays a thumbnail of image data of the children taken as photos. In this state, we wanted the generation AI system 50 to generate the value that the user would enter in the newsletter text field 274. Therefore, the user presses the "AI Input" button 276. The "AI Input" button 276 may become active (pressable) only when a value has been entered in one or more of the predetermined input fields of the newsletter creation application.

[0131] Figure 19A shows information regarding the input fields of the newsletter creation app. Similar to the information regarding the input fields of the business trip report app (Figure 9), the information regarding the input fields of the newsletter creation app includes the fields name, label, type, and constraints. These can be the same as in Figure 9.

[0132] Figure 19B shows the information set in the input fields of the nursery newsletter creation application. Figure 19B shows the information for one record. In the case of the nursery newsletter creation application, the information for one record set in the input fields is called the nursery newsletter information. The nursery newsletter information is represented by associating a name field with a value field. The name field (date, event, memo, photo, newsletter) is the identifier information for the input field, and the value field is its value.

[0133] This section describes information about the application for the nursery newsletter creation app. The name of the nursery newsletter creation app is "Nursery Newsletter Creation App". Next, according to the information about the input items in Figure 19A, the labels of the input items are Date, Event, Short Memo, Photo Attachment Field, and Nursery Newsletter Text. Therefore, there are 5 input items. Of these, values ​​have already been entered for Date, Event, Short Memo, and Photo Attachment Field. The input item for which we want to generate a value is "Nursery Newsletter Text". The request generation unit 14 uses this information to set the application name, list of input items, input items and their values, and the input item for which we want to generate a value as prompts in Figure 12. Also, since the image data set in the photo attachment field is a file, the image data set in the photo attachment field is set in parameter 244 in Figure 11.

[0134] Figure 20 shows the prompt generated by the request generation unit 14. The following information is set in ${appName}251, ${labels.join()}252, ${labels.length}253, ${currentValue}254, and ${targetLabel}255 shown in Figure 12.

[0135] • ${appName}251 is set to "School Newsletter Creation App" 281.

[0136] • ${labels.join()}252 is set to "Date, Event, Short Memo, Photo Attachment Field, Newsletter Text"282. In other words, the label field is set for information related to the input field. The name field is not set because the name field is usually for identification information, and often contains information unrelated to the label.

[0137] • ${labels.length}253 is set to "5" (283).

[0138] The value ${currentValue}254 is set to "{"Date":"2024 / 07 / 05","Event":"Mud Play","Short Memo":"The children had fun getting their clothes covered in mud","Photo Attachment":"001.jpeg","Newsletter Text":""}"284. In other words, input fields with values ​​already entered are associated with those values. Input fields that do not already have values ​​entered, such as "Newsletter Text," are associated with a blank "".

[0139] Regarding the photo attachment field, a file name is set, but this alone may not be enough for the generating AI system 50 to analyze the image data in the photo attachment field and generate the "newsletter text". Therefore, it would be good if the prompt in Figure 20 included a sentence such as, "Please recognize the image named 001.jpeg and generate the text to be entered into the 'newsletter text'." Since the generating AI system 50 can generate text data from the objects contained in the image data, it can reliably reflect the image data in the "newsletter text".

[0140] • ${targetLabel}255 is set to "Newsletter Text" 285. The input items to be set in ${targetLabel}255 are predetermined. Alternatively, the request generation unit 14 may determine which input items do not have values ​​entered and set those input items in ${targetLabel}255. If there are two or more existing input items that do not have values ​​entered, two or more input items may be set in ${targetLabel}255.

[0141] The generating AI system 50 understands that the target is a nursery school newsletter creation app from the prompt beginning with "nursery school newsletter creation app" 281. Next, the generating AI system 50 understands the input fields that the nursery school newsletter creation app has from "date, event, short memo, photo attachment field, nursery school newsletter text" 282. Next, the generating AI system 50 understands the values ​​that have already been entered into the input fields. Next, the generating AI system 50 understands the request to "generate text to be entered into the nursery school newsletter text" and generates text to be entered into "nursery school newsletter text" using the values ​​that have already been entered into the input fields.

[0142] Figure 21 shows the response message from the generating AI system 50 to the request message in Figure 20. The generating AI system 50 analyzes the request message in Figure 20 and generates values ​​to be set in the "Nursery School Newsletter Text". As an example, the generating AI system 50 generated the following: "At the mud play on July 5th, the children were covered in mud but had a great time with big smiles on their faces. They poured water on the mud piles with watering cans and enjoyed playing in the mud in their own ways. Every child's eyes lit up as they were engrossed in playing in the mud, and they felt the joy of interacting with nature through this valuable experience that was different from their usual routine." Comparing this with the input values, it can be seen that the date, event, and a short memo have been incorporated.

[0143] The user terminal 10 uses the response message shown in Figure 20 to request the application service 40 to set a value in the newsletter text field 274 of the newsletter creation application.

[0144] Figure 22 shows the input screen 270 of the newsletter creation app with the generated value set in the newsletter text field 274. The input processing unit 16 inputs the value corresponding to the input item into the corresponding input field. That is, the text generated by the generation AI system 50, as shown in Figure 21, is set in the newsletter text field 274.

[0145] Furthermore, the values ​​created by the generation AI system 50, which are entered into the input fields by the input processing unit 16, can be edited manually by the user. In addition, by pressing a button such as "Complete" on the input screen 270 of the nursery newsletter creation application, the user can register the contents set in the input fields to the application.

[0146] In this way, by entering values ​​into the relatively easy-to-enter, standardized input fields of the newsletter creation app, users can automatically set values ​​into the input fields that take more time to enter. Since the user terminal 10 obtains information about the application from the application service 40, it can set appropriate values ​​into the input fields of any application, not just the newsletter creation app.

[0147] Furthermore, the user may request the generation AI system 50 to generate values ​​to be entered in the date field 271, event field 272, and short memo field 273, after entering values ​​in the newsletter text field 274 and the photo attachment field 275. In this case, if the newsletter text field 274 or the photo attachment field 275 contains this information, it can be expected that appropriate values ​​will be generated for each input field. Also, in this case, the date field 271, event field 272, and short memo field 273 are specific input fields that accept text input.

[0148] <Main effects> According to the information processing system 100 of this embodiment, when a user enters a value in one or more input fields, the AI ​​system 50 generates values ​​for input fields that do not have values ​​entered and automatically sets them in the input fields. Since the user terminal 10 obtains information about applications from the application service 40, it can set appropriate values ​​in the input fields of any application, not just one application.

[0149] [Second Embodiment] This embodiment describes a modified version applicable to the first embodiment. In this embodiment, the hardware configuration diagram shown in Figure 6 and the functional block diagram shown in Figure 7, as described in the first embodiment, can be used as references.

[0150] <If the input field that generates the value already has a value> In the first embodiment, it was explained that either the input field for generating a value is predetermined, or an input field that does not have an existing value is automatically determined. In the former case, where the input field for generating a value is predetermined, there may be cases where a value has already been set in that input field. In this case, if the user terminal 10 sends the existing value as a draft to the generation AI system 50, the text generated by the generation AI system 50 can be made to more closely resemble the text intended by the user.

[0151] The following explains, using a business trip reporting app as an example, how the generation AI system 50 generates text for the daily report field 216 when text has already been entered into the daily report field 216.

[0152] Figure 23 shows the input screen 210 of the business trip report application displayed on the user terminal 10. The explanation of Figure 23 mainly focuses on the differences from Figure 14. In Figure 23, the user has entered values ​​in the Traveler field 211, Business Trip Date field 212, Destination field 213, Purpose field 214, Result field 215, and Daily Report field 216. At this point, the user wanted to further enhance the text to be set in the Daily Report field 216. Therefore, the user presses the "AI Input" button 228.

[0153] In this embodiment, it is predetermined that the request generation unit 14 will generate values ​​for the daily report column 216. Similar to the first embodiment, the request generation unit 14 generates prompts that specify information about the application and the input items for which values ​​are to be generated.

[0154] Figure 24 shows the prompt generated by the request generation unit 14. Figure 24 mainly explains the differences from Figure 15. In Figure 24, the information set in ${currentValue}254 is different from that in Figure 15.

[0155] · ${currentValue}254 has the following entry set: "{"Traveler":"Taro Patent","Travel Date":"2024 / 07 / 22","Destination":"〇× Dairy △ Factory","Purpose":"Meeting to discuss a factory tour.","Result":"The date for the factory tour has been set to 10 / 13.","Daily Report":"I had a meeting with Mr. Yamada from 〇× Dairy to discuss a factory tour. The date for the factory tour has been set to 10 / 13."}"266. In other words, a draft entry 268, "I had a meeting with Mr. Yamada from 〇× Dairy to discuss a factory tour. The date for the factory tour has been set to 10 / 13." has been added to correspond to the "Daily Report".

[0156] Additionally, the prompt in Figure 24 has the text data 267 added, which reads, "The value currently entered in the 'Daily Report' is a draft." The request generation unit 14 determines that the daily report field 216 is not blank, and adds the text entered in the daily report field 216 as text data 267 to the prompt.

[0157] The generation AI system 50 determines from the text data 267 that the draft 268 can serve as a reference for the value to be generated for the daily report field 216, and uses the above draft 268 to generate the value, making it easier to generate the text intended by the user. In this case, the draft initially entered in the daily report field 216 is overwritten by the input processing unit 16, and the text generated by the generation AI system 50 is entered into the daily report field 216. <<Main Effects>> According to this embodiment, in addition to the effects of the first embodiment, the user terminal 10 notifies the generation AI system 50 of the draft values ​​of the input items, making it easier to generate text intended by the user.

[0158] <Additional instructions for generating values> In this embodiment, the information processing system 100 allows the generation AI system 50 to generate values ​​for input items without the user having to input a prompt. However, the user can also input a prompt. This allows the values ​​of the input items generated by the generation AI system 50 to more closely resemble the user's intended text.

[0159] Figure 25 shows the prompt input screen 280 that pops up on the input screen 210 of the business trip report app. The input screen 210 of the business trip report app is displayed when the user presses the "AI Input" button 228.

[0160] The prompt input screen 280 has a message 286 that reads, "Executing AI input. Please enter any additional instructions," and a prompt input field 287. If the user has instructions for the generating AI system 50 regarding the values ​​to be entered in the daily report field 216, the user can enter the instructions in the prompt input field 287. In Figure 25, the instruction "Generate using child-friendly language" has been entered. This instruction becomes part of the prompt included in the request message. When the user presses the OK button 288, the request message is generated.

[0161] Figure 26 shows the prompt in the request message generated by the request generation unit 14. Figure 26 mainly explains the differences from Figure 15. The request message in Figure 26 has the text data 285 "Please generate it using child-friendly language" added to it. When the content of the instruction is entered in the prompt input field 282, the request generation unit 14 adds the content of the instruction as text data 285 to the prompt.

[0162] The AI ​​generation system 50 generates values ​​to be set in the daily report section 216 by referring to the text data 285, making it easier to generate sentences that the user intends.

[0163] <<Main Effects>> According to this embodiment, in addition to the effects of the first embodiment, the user can input instructions for the generation AI system 50 when generating values, making it easier to generate sentences that the user intends.

[0164] <Confirmation dialog and regeneration> As a user, there may be times when you are not satisfied with the text generated by the generation AI system 50 and want to restart the generation process. To address this situation, it is effective to display a confirmation dialog before the user terminal 10 sets the values ​​generated by the generation AI system 50 to the application service 40, allowing the user to confirm the text generated by the generation AI system 50. This allows the generation process to be repeated until the text the user desires is produced.

[0165] Figure 27 shows a confirmation dialog 290 that pops up on the input screen 210 of the business trip report application. The confirmation dialog 290 appears immediately after step S9 in the sequence diagram of Figure 10 (before the input field is set).

[0166] The confirmation dialog 290 includes a message 291 that reads, "The daily report text has been generated. Do you want to enter this content?", a generated text display field 292, a regenerate button 293, and an input permission button 294. The generated text display field 292 displays the text generated by the generation AI system 50. If the user is not satisfied with the text generated by the generation AI system 50, they press the regenerate button 293.

[0167] As a result, in the sequence diagram of Figure 10, step S8 is executed again, allowing the generation AI system 50 to regenerate the text to be entered into the daily report field 216. The user can repeat the generation process until the desired text is generated.

[0168] Furthermore, if step S8 is executed again, the request generation unit 14 may prompt the system to generate a different sentence along with the sentences generated immediately before and in the past. This ensures that the generation AI system 50 generates a different sentence each time it is generated. Additionally, when the user presses the regenerate button 293, the prompt input screen 280 shown in Figure 25 may be displayed. This allows the user to specify how they want to improve the sentence generated by the generation AI system 50 each time.

[0169] <<Main Effects>> According to this embodiment, in addition to the effects of the first embodiment, regeneration is possible, so the user can repeat the generation process until the desired text is generated.

[0170] <Instructions for the reference form> In the first embodiment, the request generation unit 14 includes the values ​​of all input items that have values ​​entered in the prompt. However, the user may be able to select the values ​​of the input items that the request generation unit 14 sends to the generation AI system 50. This is because the values ​​of input items that the user has already entered may contain information that is noisy for the input items for which a value is to be generated. Therefore, by allowing the user to select the values ​​of the input items that the request generation unit 14 sends to the generation AI system 50, it is possible to eliminate noisy information when generating a value from the prompt sent to the generation AI system 50. This makes it easier for the generation AI system 50 to generate the sentence intended by the user.

[0171] Figure 28 shows the input item selection dialog 300 that pops up on the input screen 210 of the business trip report application. The input item selection dialog 300 appears when the "AI input button" 228 is pressed.

[0172] The input item selection dialog 300 has a message 301 that reads, "Please select the form to be used as input for generating the daily report text," a list of options 302, and an input button 303. The list of options 302 displays labels for the input items on the input screen 210 of the business trip report application. Each label has a checkbox, and the user selects the input items for which they want to send the entered values ​​to the generation AI system 50. When the user presses the input button 303, the request generation unit 14 generates a request message using only the values ​​of the checked input items.

[0173] Figure 29 shows the prompt generated by the request generation unit 14. Figure 29 mainly explains the differences from Figure 15. In the request message of Figure 29, the following information is set in ${appName}251, ${labels.join()}252, ${labels.length}253, ${currentValue}254, and ${targetLabel}255, as shown in Figure 12.

[0174] • ${appName}251 is set to "Business Trip Report App" 261.

[0175] • ${labels.join()}252 has "Business Trip Date, Destination, Purpose, Results, Daily Report"262 set. In other words, "Business Traveler" is missing. This is because "Business Traveler" is not selected in the selection list 302. The reason why "Daily Report," which is also not selected in the selection list 302, exists is that it is an input item for which a value is to be generated, and therefore the existence of this input item needs to be notified to the generation AI system 50.

[0176] • ${labels.length}253 is set to "5"263. In other words, it's one less because "Business Traveler" is missing.

[0177] • ${currentValue}254 contains "{"Date of trip":"2024 / 07 / 22","Destination":"〇× Dairy △ Factory","Purpose":"Meeting to discuss a factory tour." ","Result":"The date for the factory tour was set for 10 / 13." "}"264. In other words, "Traveler" and its value, and "Daily Report" and its value (blank) do not exist. This is because they were not selected in the selection list 302. The reason why "Daily Report" and its value (blank) are not included in ${currentValue}254 is because the existence of the input item "Daily Report" has already been notified in "Date of trip, Destination, Purpose, Result, Daily Report"262.

[0178] ${targetLabel}255 can be the same as in Figure 15.

[0179] Although the prompt does not include the traveler's name, the traveler's name is rarely included in the "daily report," so this could become noise when generating the "daily report" value. In this embodiment, the user chooses not to send the "traveler" value to the generation AI system 50, so the "traveler" value, which would be noise when generating the value from the prompt sent to the generation AI system 50, can be eliminated. Therefore, the generation AI system 50 can more easily generate the text intended by the user.

[0180] <<Main Effects>> According to this embodiment, in addition to the effects of the first embodiment, the user can select pre-entered values ​​to send to the generation AI system 50, making it easier to generate text intended by the user.

[0181] <Request message specifying the range of values ​​to be entered> Some application input fields may have input ranges. For example, input fields that use strings as data may have a maximum and minimum number of characters. Input fields that use numbers may have a maximum and minimum value.

[0182] In Figure 9, the information about the input fields shows that the `constraints` field defines conditions for the values ​​of the input fields. For example, for the input field `label`, which is "Daily Report," a condition (input range) is set where the maximum number of characters (`maxLength`) is 200.

[0183] When generating a prompt, the request generation unit 14 also sends information about the input range to the generation AI system 50. This prevents the value generated by the generation AI system 50 from being outside the application's input range.

[0184] Figure 30 shows the prompt generated by the request generation unit 14. Figure 30 mainly explains the differences from Figure 15. The prompt in Figure 30 has the text data 311 "Please generate within 200 characters." added to it. The "200" in this text is changed by the constraints item in the input item information in Figure 9.

[0185] In other words, as shown below, ${……} is set in the string in Figure 12 to correspond to the maximum number of characters. "Please generate it within ${maxLength} characters." The request generation unit 14 replaces ${maxLength} with "200". Therefore, all text data 311 except for "200" is standard text.

[0186] The generation AI system 50 analyzes the above text data 311 of the request message and generates values ​​so that the values ​​to be generated for the "daily report" do not fall outside the input range.

[0187] <<Main Effects>> According to this embodiment, in addition to the effects of the first embodiment, by specifying an input range, the generation AI system 50 can generate values ​​that do not fall outside the input range.

[0188] <Generating values ​​from multiple forms> The request generation unit 14 can request the generation AI system 50 to generate values ​​for multiple input items with a single request message. This speeds up processing compared to generating multiple request messages and requesting the generation AI system 50 to generate values ​​for each input item each time. In addition, the number of calls to the generation AI system 50 is reduced, which also reduces the usage fees for the generation AI system 50.

[0189] Figure 31 shows the input screen 320 of the newsletter creation application displayed on the user terminal 10. The explanation of Figure 31 mainly describes the differences from Figure 18. The date field 271, event field 272, short memo field 273, photo attachment field 275, and the "AI Input" button 276 are the same as in Figure 18. The input screen 320 of the newsletter creation application in Figure 31 further has input fields for newsletters for parents 321 and newsletters for children 322. When the user presses the "AI Input" button 276, a target selection dialog 330 is displayed.

[0190] Figure 32 shows the generation target selection dialog 330 that pops up on the input screen 320 of the nursery newsletter creation application. The generation target selection dialog 330 has a message 331 that says, "Please select the input items for which you want to generate text," a list of options 332, and an OK button 333. The list of options 332 displays labels for the input items on the input screen 320 of the nursery newsletter creation application. Each label has a checkbox, and the user selects the input items for which they want the generation AI system 50 to generate a value. When the user presses the OK button 333, the request generation unit 14 generates a request message.

[0191] Note that in Figure 32, the input items that generate values ​​when the "AI Input" button 276 is pressed are selected, but the input items that generate values ​​may be predetermined. Alternatively, the user may select them in advance on the settings screen.

[0192] Figure 33 shows the prompt generated by the request generation unit 14. The explanation of Figure 33 mainly describes the differences from Figure 20. In the prompt of Figure 33, the following information is set in ${appName}251, ${labels.join()}252, ${labels.length}253, ${currentValue}254, and ${targetLabel}255, as shown in Figure 12.

[0193] The same applies to ${appName}251 as shown in Figure 20.

[0194] The labels ${labels.join()}252 has "Date, Event, Short Memo, Photo Attachment Field, Parent-Oriented Newsletter Text, and Child-Oriented Newsletter Text" 282 set. Of these, "Parent-Oriented Newsletter Text and Child-Oriented Newsletter Text" 341 notifies the generating AI system 50 that the newsletter creation app has input fields 321 for parent-oriented newsletters and 322 for child-oriented newsletters.

[0195] • ${labels.length}253 is set to "6" (283).

[0196] · ${currentValue}254 is set to "{"Date":"2024 / 07 / 05","Event":"Mud Play","One-line Memo":"The children had fun getting their clothes covered in mud","Photo Attachment":"001.jpeg","Message for Parents":"","Message for Children":""}" 284. Of these, ""Message for Parents":"","Message for Children":"" 342 notifies the generating AI system 50 of the value (blank) of the input field 321 for the parent newsletter and the value (blank) of the input field 322 for the child newsletter.

[0197] The labels ${targetLabel}255 are set to "Text for the nursery newsletter for parents" and "Text for the nursery newsletter for children"343. In other words, the generation AI system 50 is instructed to generate the text to be set in the input fields 321 for the nursery newsletter for parents and 322 for the nursery newsletter for children.

[0198] The prompt in Figure 33 has a format specification 344. Since the generation AI system 50 generates multiple sentences in response to the prompt in Figure 33, there may be multiple response messages. For this reason, the format specification 344 instructs the generation AI system 50 to generate values ​​in JSON format. This is expected to result in a response message that clearly shows the correspondence between the input items and the generated sentences.

[0199] Figure 34 shows the response message from the generating AI system 50 to the request message in Figure 33. The response message contains "text of the nursery school newsletter for parents" 351 and "text of the nursery school newsletter for children" 352 in JSON format. In other words, the generating AI system 50 analyzed the request message in Figure 33 and generated "text of the nursery school newsletter for parents" 351 and "text of the nursery school newsletter for children" 352.

[0200] Comparing the "Newsletter for Parents" (351) and the "Newsletter for Children" (352) with the values ​​already entered for "Date," "Event," and "Short Memo," it can be seen that the date, event, and short memo are included. Furthermore, it can be seen that even though the input values ​​referenced by the generation AI system 50 are the same, the two sentences are different. This is thought to be the effect of "Newsletter for Parents" and "Newsletter for Children" (343).

[0201] The user terminal 10 uses the response message shown in Figure 34 to request the application service 40 to register a value in the newsletter creation application.

[0202] Figure 35 shows the input screen 320 of the newsletter creation app with the generated values ​​set in the app. The input processing unit 16 inputs the values ​​corresponding to the input items into the corresponding input fields. That is, the "newsletter text for parents" 351 and the "newsletter text for children" 352, generated by the generation AI system 50 as shown in Figure 34, are set in the parent newsletter input field 321 and the child newsletter input field 322, respectively.

[0203] In this way, by entering values ​​into some of the input fields in the newsletter creation app, the user can automatically set values ​​for the remaining selected input fields that have not yet been filled in.

[0204] Furthermore, before the two sentences generated by the generation AI system 50 are displayed on the input screen 320 of the newsletter creation app, the confirmation dialog 290 shown in Figure 27 may be displayed. In this case, it would be good to allow the user to select which sentence to regenerate. Also, when the user presses the regenerate button 293, it would be good to display the prompt input screen 280 shown in Figure 25. This would allow the user to specify how they want to improve each sentence generated by the generation AI system 50.

[0205] <<Main Effects>> According to this embodiment, in addition to the effects of the first embodiment, it is possible to request the generation AI system 50 to generate values ​​for multiple input items with a single request message, thereby speeding up processing and reducing the usage fees for the generation AI system 50.

[0206] <Few-shotプロンプティング> The generation AI system 50 employs a technique called few-shot prompting, which improves the accuracy of value generation by providing several output examples in the prompt. In this embodiment as well, the accuracy of generating values ​​for the input items can be improved by performing few-shot prompting.

[0207] Figure 36 shows a prompt using few-shot prompting. Since few-shot prompting is a technique that includes one or more example outputs in the prompt, the request generation unit 14 includes the information already registered in the application service 40 (Figure 8) in the prompt. Note that Figure 36 mainly explains the differences from Figure 15.

[0208] Message 351 states, "We are providing two past input details in JSON format for reference," and indicates that the following is the information registered in the application.

[0209] Sample 362 is the first input. Sample 362 contains the values ​​for one record of information already registered in the application, linked to the label field, which is information about the input item.

[0210] Sample 363 is the second input. Sample 363 contains the values ​​for one record of information already registered in the application, linked to the label field, which is information about the input field.

[0211] Figure 37 is a sequence diagram illustrating the processing of the information processing system 100 when using few-shot prompting. Figure 37 illustrates the differences from Figure 10. In Figure 37, steps S21 and S22 are added. Also, some of the processing in steps S8 and S9 is changed.

[0212] S21: The request generation unit 14 of the user terminal 10 specifies the application's identification information and requests the application service 40 for one or more records of information previously registered in the application.

[0213] S22: The communication unit 41 of the application service 40 receives a request. The application information management unit 43 retrieves one or more records of information registered in the application from the application information storage unit 49, and the communication unit 41 sends one or more records to the user terminal 10.

[0214] S8: Next, the request generation unit 14 of the user terminal 10 generates a request message (list of input items, values ​​already entered in the input items, application name, input items for which values ​​are to be generated, and one or more records). The request transmission unit 15 sends a request to the generation AI system 50 to generate values ​​for the input items, specifying this request message.

[0215] S9: The generation AI system 50 analyzes the request message and generates values ​​for the input items specified as input items for which values ​​are to be generated. The generation AI system 50 sends a response message (values ​​associated with the input items) to the user terminal 10. The receiving unit 11a of the user terminal 10 receives the values ​​associated with the input items.

[0216] The subsequent steps can be the same as in Figure 10.

[0217] By using few-shot prompting, the generation AI system 50 can more easily generate appropriate values ​​for the specified input fields, and it can be expected that it will generate sentences that the user intended.

[0218] <<Main Effects>> According to this embodiment, in addition to the effects of the first embodiment, the generation AI system 50 can more easily generate appropriate values ​​for the specified input items, and it can be expected that the user's intended text will be generated.

[0219] [Other application examples] Although the best mode for carrying out the present invention has been described above using examples, the present invention is not limited in any way to these examples, and various modifications and substitutions can be made without departing from the spirit of the present invention.

[0220] For example, in this embodiment, the user terminal 10 transmits information about the application to the generation AI system 50, but the information about the application may be stored on a predetermined server. In this case, the user terminal 10 transmits information to the generation AI system 50 that specifies the information about the application on the server. The generation AI system 50 obtains image data from the server and generates values ​​for the input items.

[0221] Furthermore, in this embodiment, the values ​​of the input items generated by the generation AI system 50 are in JSON format, but the values ​​of the input items may be in other formats such as XML or CSV.

[0222] Furthermore, in this embodiment, the user terminal 10 sets the generated value in the input field of the application managed by the application service 40. However, the user terminal 10 may also set the generated value in the input field of a native application running on its own device. For example, if the user terminal 10 is running a spreadsheet application, it may set the generated value in a cell of the spreadsheet application.

[0223] Furthermore, in this embodiment, the user terminal 10 requests the generation AI system 50 to generate text, but it may also request the generation of image data. For example, in a nursery newsletter creation application, after the user terminal 10 has the generation AI system 50 generate the text of the nursery newsletter, it can further request the generation AI system 50 to generate illustrations based on the text of the nursery newsletter. For example, if there is no suitable photo to set in the photo attachment field 275, the user terminal 10 can set an alternative illustration in the photo attachment field 275. In addition, the user terminal 10 may request the generation AI system 50 to generate music data or video data using values ​​that have already been entered.

[0224] Furthermore, the apparatus described in the examples represents only one of several computing environments for carrying out the embodiments disclosed herein. In one embodiment, the application service 40 includes multiple computing devices, such as a server cluster. The multiple computing devices are configured to communicate with each other via any type of communication link, including a network or shared memory, and perform the processing disclosed herein.

[0225] Furthermore, the application service 40 can be configured to share the processing steps disclosed in this embodiment, such as those shown in Figure 10, in various combinations. For example, a process executed by a predetermined unit may be executed by multiple information processing devices of the application service 40. Also, the application service 40 may be consolidated into a single server device or divided among multiple devices.

[0226] Furthermore, the configuration examples in Figure 7 and other figures are divided according to their main functions to facilitate understanding of the processing performed by the application service 40. The present invention is not limited by the way the processing units are divided or their names. The processing of the application service 40 can be further divided into many more processing units depending on the processing content. It can also be divided so that one processing unit contains even more processing.

[0227] Furthermore, each function of the embodiments described above can be realized by one or more processing circuits. Hereinafter, "processing circuit" as used herein includes processors programmed to execute each function by software, such as processors implemented by electronic circuits, as well as devices such as ASICs (Application Specific Integrated Circuits), DSPs (digital signal processors), FPGAs (field programmable gate arrays), and conventional circuit modules designed to execute each of the functions described above.

[0228] Embodiments of the present invention bring about significant improvements in the capabilities and functionality of computers. These improvements enable users to utilize computers that provide more efficient and robust interaction with tables, which are methods for storing and presenting information in information processing devices. Furthermore, embodiments of the present invention provide a better user experience through the use of a more efficient, powerful, and robust user interface. Such a user interface provides better interaction between humans and machines.

[0229] <Nature> [Aspect 1] An information processing device connected via a network to a server device that stores data entered into multiple items, and to a generation AI system, A display control unit that displays a screen containing a plurality of input fields, each accepting user input of data to be entered into the plurality of items, and each of the plurality of input fields including at least one specific input field that accepts text input, and which is capable of receiving instructions to create text to be entered into the specific input field. It includes a transmission unit that transmits data entered in each of the multiple input fields to the server device in response to user operations, A request transmission unit, upon receiving the aforementioned instructions from the user, transmits a request to the generation AI system, which includes information indicating one or more items among the multiple items other than the specific item relating to the specific input field, data entered by the user in the input field corresponding to that one or more items, and instructions to create a sentence to be entered in the specific input field of the specific item based on the information indicating the one or more items and the data. A receiving unit that receives text information of a text created by the generation AI system based on the above request, An input processing unit that inputs the received text information into the specified input field, An information processing device having [Aspect 2] The system further includes a request generation unit that generates the aforementioned request. The information processing apparatus according to Embodiment 1. [Aspect 3] The display control unit displays the screen including the specific input field into which data has been entered. The information processing apparatus according to embodiment 1 or 2. [Aspect 4] The receiving unit further receives information from the generating AI system that identifies the application selected by the user, Based on the information identifying the aforementioned application, an application identification unit identifies the application, An item identification unit that identifies items corresponding to the application, An information processing apparatus according to any one of embodiments 1 to 3, further comprising the above. [Aspect 5] The above instruction is an instruction to create a sentence that satisfies the conditions of the above-mentioned input field of the above-mentioned item. An information processing device according to any one of embodiments 1 to 4. [Aspect 6] The above instruction includes the name of the application, The information processing apparatus according to Embodiment 4. [Aspect 7] The aforementioned application is an application created by accepting settings for the aforementioned items from the user. The information processing apparatus according to Embodiment 4. [Aspect 8] The transmission unit transmits a request for one or more programs to be executed by the information processing device to the server device. The aforementioned information processing device can run a web browser. The display control unit, the transmission unit, the request transmission unit, the reception unit, and the input processing unit operate by executing the program sent from the server device in the web browser. The information processing apparatus according to Embodiment 2. [Explanation of Symbols]

[0230] 10 user terminals 40 Application Services 50 Generative AI Systems 100 Information Processing Systems [Prior art documents] [Patent Documents]

[0231] [Patent Document 1] Japanese Patent Publication No. 2022-174244

Claims

1. An information processing device connected via a network to a server device that stores data entered into multiple items, and to a generation AI system, A display control unit that displays a screen containing a plurality of input fields, each accepting user input of data to be entered into the plurality of items, and each of the plurality of input fields including at least one specific input field that accepts text input, and which is capable of receiving instructions to create text to be entered into the specific input field. It includes a transmission unit that transmits data entered in each of the multiple input fields to the server device in response to user operations, When the aforementioned instruction is received from the user, the request transmission unit transmits a request to the generation AI system, which includes information indicating one or more items among the plurality of items other than the specific item relating to the specific input field, data entered by the user in the input field corresponding to the one or more items, and instructions to create a sentence to be entered in the specific input field of the specific item based on the information indicating the one or more items and the data. A receiving unit that receives text information of a text created by the AI ​​generation system based on the aforementioned request, An input processing unit that inputs the received text information into the specified input field, An information processing device having

2. The system further includes a request generation unit that generates the aforementioned request. The information processing apparatus according to claim 1.

3. The display control unit displays the screen including the specific input field into which data has been entered. The information processing apparatus according to claim 1 or 2.

4. The receiving unit further receives information from the generating AI system that identifies the application selected by the user. Based on the information identifying the aforementioned application, an application identification unit identifies the application, An item identification unit that identifies items corresponding to the application, The information processing apparatus according to claim 1, further comprising the above.

5. The above instruction is an instruction to create a sentence that satisfies the conditions of the above-mentioned input field of the above-mentioned item. The information processing apparatus according to claim 1.

6. The above instruction includes the name of the application, The information processing apparatus according to claim 4.

7. The aforementioned application is an application created by accepting settings for the aforementioned items from the user. The information processing apparatus according to claim 4.

8. The transmission unit transmits a request for one or more programs to be executed by the information processing device to the server device. The aforementioned information processing device can run a web browser, The display control unit, the transmission unit, the request transmission unit, the reception unit, and the input processing unit operate by executing the program sent from the server device in the web browser. The information processing apparatus according to claim 2.

9. A server device that stores data entered into each of multiple items, A program transmission unit that transmits a program in response to a program request sent from an information processing device that communicates with the server device, It has a storage unit that stores data transmitted from the aforementioned information processing device, The aforementioned program, A screen containing multiple input fields, each accepting user input of data to be entered into the aforementioned multiple items, and including at least one specific input field for accepting text input, wherein the screen is displayed on the display unit and can accept instructions to create text to be entered into the specific input field. In response to user operations, the data entered in each of the multiple input fields is transmitted to the server device, and upon receiving the instruction from the user, a request is sent to the generation AI system including information indicating one or more items among the multiple items other than the specific item related to the specific input field, data entered by the user in the input field corresponding to that one or more items, and an instruction to create a sentence to be entered in the specific input field of the specific item based on the information indicating the one or more items and the data. This program receives text information of a text generated by the AI ​​generation system based on the aforementioned request, and inputs the received text information into the specified input field. Server device.

10. An information processing system comprising a server device that stores data entered into each of multiple items, and an information processing device that can communicate with a generating AI system via a network, The aforementioned information processing device is A display control unit that displays a screen containing a plurality of input fields, each accepting user input of data to be entered into the plurality of items, and each of the plurality of input fields including at least one specific input field that accepts text input, and which is capable of receiving instructions to create text to be entered into the specific input field. It includes a transmission unit that transmits data entered in each of the multiple input fields to the server device in response to user operations, When the aforementioned instruction is received from the user, the request transmission unit transmits a request to the generation AI system, which includes information indicating one or more items among the plurality of items other than the specific item relating to the specific input field, data entered by the user in the input field corresponding to the one or more items, and instructions to create a sentence to be entered in the specific input field of the specific item based on the information indicating the one or more items and the data. A receiving unit that receives text information of a text created by the AI ​​generation system based on the above request, An input processing unit that inputs the received text information into the specified input field, An information processing system having

11. A server device that stores data entered into multiple fields, and an information processing device connected via a network to a generation AI system, A display control unit that displays a screen containing a plurality of input fields, each accepting user input of data to be entered into the plurality of items, and each of the plurality of input fields including at least one specific input field that accepts text input, and which is capable of receiving instructions to create text to be entered into the specific input field. It includes a transmission unit that transmits data entered in each of the multiple input fields to the server device in response to user operations, When the aforementioned instruction is received from the user, the request transmission unit transmits a request to the generation AI system, which includes information indicating one or more items among the plurality of items other than the specific item relating to the specific input field, data entered by the user in the input field corresponding to the one or more items, and instructions to create a sentence to be entered in the specific input field of the specific item based on the information indicating the one or more items and the data. A receiving unit that receives text information of a text created by the AI ​​generation system based on the above request, An input processing unit that inputs the received text information into the specified input field. A program designed to function as such.

Images