JP7826264B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Technology has been disclosed that generates prompts that include useful sentences as reference information in response to an input question (see Patent Document 1).

Patent No. 7325152

However, there is room for improvement in the above-mentioned conventional technology. For example, while the above-mentioned conventional technology can generate additional text related to a question text with a total number of characters, including the number of characters in the question text, that does not exceed the character limit that can be input to the answer generation section of a large-scale language model (LLM), there is room for improvement in terms of supplementing missing explanations and information in documents posted by posters to create sufficient text. Therefore, there is a need for technology that can supplement text so that it appropriately reflects the poster's intentions.

This application was made in light of the above, and aims to supplement the text so that it appropriately reflects the poster's intentions.

The information processing device of the present application includes an acquisition unit that acquires posted information posted by a poster for specified content and viewer information, which is user information of a viewer who views the posted information; a generation unit that generates supplemental posted information for viewing, based on the specified content, the posted information, and the viewer information, by supplementing the posted information with information to allow the viewer to understand the poster's intention regarding the posted information; and a display unit that displays the generated supplemental posted information for viewing, wherein the generation unit inputs the specified content, the posted information, the viewer information, and a prompt to assist in understanding the posted information into a GPT model, and generates supplemental posted information for viewing using the GPT model .

According to one aspect of the embodiment, the text can be supplemented to appropriately reflect the poster's intentions.

FIG. 1 is an explanatory diagram illustrating an overview of an information processing system according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of a server device according to the embodiment. FIG. 4 is a flowchart showing a processing procedure according to the embodiment. FIG. 5 is a diagram illustrating an example of a hardware configuration.

Below, detailed explanations will be given of the information processing device, information processing method, and information processing program (hereinafter referred to as "embodiments") according to the present application, with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. Furthermore, identical components in the following embodiments will be designated by the same reference numerals, and duplicate explanations will be omitted.

[1. Overview of the information processing system]
First, an overview of an information processing system according to an embodiment will be described with reference to Fig. 1. Fig. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. As shown in Fig. 1, an information processing system 1 according to an embodiment includes a terminal device 10 and a server device 100. These various devices are connected to each other via a network N in a wired or wireless manner so as to be able to communicate with each other. This enables the terminal device 10 to cooperate with the server device 100. The network N is, for example, a local area network (LAN) or a wide area network (WAN) such as the Internet.

The terminal device 10 is an information processing device used by a user U. For example, the terminal device 10 may be a smart device such as a smartphone or tablet, a mobile phone such as a feature phone (Gala-ke/Gala-ho), a personal computer (PC), a personal digital assistant (PDA), a game console or AV device with communication functions, an information appliance or digital appliance, a car navigation system, or a wearable device such as a smartwatch, a head-mounted display, or smart glasses. The terminal device 10 may also be a home or building, a car, a home appliance, or an electronic device that is compatible with the Internet of Things (IoT).

In this embodiment, terminal device 10 is a smart device such as a smartphone or tablet used by user U, and is a portable terminal device capable of communicating with any server device via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: fifth generation mobile communication system). Terminal device 10 also has a screen such as an LCD display with touch panel functionality, and accepts various operations on displayed data such as content, such as tapping, sliding, and scrolling, performed by user U with a finger or stylus. Note that operations performed on an area of the screen where content is displayed may be considered operations on the content. Terminal device 10 may not only be a smart device, but also an information processing device such as a desktop PC (Personal Computer) or laptop PC.

Furthermore, such terminal device 10 can connect to the network N via a wireless communication network such as LTE, 4G, or 5G, or via short-range wireless communication such as Bluetooth (registered trademark) or wireless LAN (Local Area Network), and communicate with the server device 100.

The server device 100 is, for example, a computer such as a PC or a blade server, or a mainframe or workstation. The server device 100 may also be implemented using cloud computing.

In this embodiment, the server device 100 is an information processing device that works in conjunction with the terminal device 10 of each user U and provides API (Application Programming Interface) services for various applications (hereinafter referred to as apps) and various data to each user U's terminal device 10, and is realized by a computer, cloud system, etc.

The server device 100 may also be an information processing device that provides some kind of web service online to the terminal device 10 of each user U. For example, the server device 100 may provide such web services as internet connection, search services, SNS (Social Networking Service), electronic commerce (EC), electronic payments, online games, online banking, online trading, accommodation and ticket reservations, video and music distribution, news, maps, route searches, route guidance, line information, operation information, and weather forecasts. In practice, the server device 100 may work in conjunction with various servers that provide the above-mentioned web services, and may act as an intermediary for the web services or be responsible for processing the web services.

The server device 100 is capable of acquiring user information about the user U. For example, the server device 100 acquires, as user information, information (attribute information) about the attributes of the user U, such as the gender, age, and area of residence of the user U. The server device 100 is also capable of acquiring information about the attributes of the user U, such as demographic attributes, psychographic attributes, geographic attributes, and behavioral attributes. The server device 100 then stores and manages the information (attribute information) about the attributes of the user U along with identification information (user ID, etc.) that identifies the user U.

The server device 100 also acquires various historical information (log data) indicating user U's behavior from user U's terminal device 10 or from various servers based on the user ID, etc. For example, the server device 100 acquires user U's location history, which is a history of user U's location and date and time, from the terminal device 10. The server device 100 also acquires user U's search history, which is a history of search queries entered by user U, from a search server (search engine). The server device 100 also acquires user U's browsing history, which is a history of content viewed by user U, from a content server. The server device 100 also acquires user U's purchase history (payment history), which is a history of product purchases and payment processes, from an e-commerce server or a payment processing server. The server device 100 may also acquire user U's listing history and sales history, which are a history of user U's listings on the marketplace, from the e-commerce server or the payment processing server. The server device 100 also acquires user U's posting history, which is a history of user U's posts, from a posting server or SNS server that provides a word-of-mouth posting service. Note that the various servers described above may be the server device 100 itself. In other words, the server device 100 may function as the various servers described above.

Furthermore, the number of devices included in the information processing system 1 shown in Figure 1 is not limited to that shown. For example, in Figure 1, only one terminal device 10 is shown to simplify the illustration, but this is merely an example and is not limiting; there may be two or more devices.

2. Sentence completion by AI
In this embodiment, the terminal device 10 of user U is a text generation AI (Artificial Intelligence) that uses a GPT (Generative Pretrained Transformer) model, which is a language model capable of generating sentences using natural language processing, to complement the posted sentence when the poster posts the sentence or when the viewer views the sentence.

In this embodiment, user U refers to poster P and viewer A. Furthermore, user U's terminal device 10 refers to poster P's terminal device 10P and viewer A's terminal device 10A. In other words, poster P and viewer A are both one user U, and poster P's terminal device 10P and viewer A's terminal device 10A are both one of the terminal devices 10.

[2-1. Assistance with writing when submitting]
The terminal device 10P of the poster P, in cooperation with the server device 100 or using the function of an application, assists (supports) the text (comment text) posted by the poster P in conformity with the intention of the poster P. In other words, the terminal device 10P rewrites the comment text to conform to the intention of the poster P.

For example, as shown in FIG. 1, when poster P posts information to a specific piece of content (before posting), poster P's terminal device 10P acquires the posted information posted by poster P (step S1).

The specified content is content that can be displayed in a browser, app, etc., and is content related to a specified theme, article, topic, etc. Note that the specified content may be content that allows text to be posted, or content that allows posted text to be sent to a specified recipient in the form of a message, audio, etc. Furthermore, the posted information includes at least the text (the main text of the comment), and may also include image data such as photos and videos, audio and music data, etc.

Subsequently, poster P's terminal device 10P, in cooperation with the server device 100 or using the app's functions, generates a prompt (instruction) to complete the posted information (step S2).

Here, poster P's terminal device 10P generates a prompt to complement the posted information, instructing the poster P to generate complemented posted information by adding information (missing information, additional information) that is estimated to be missing from the posted information compared to the poster P's intention.

At this time, the poster P's terminal device 10P may generate a prompt to generate information based on the poster P's intentions as a prompt to complement the posted information.

In addition, the terminal device 10P of the poster P may generate a prompt to complement the posted information, instructing the poster P to generate complemented posted information so that any user U (viewer) can easily understand the specified content simply by referring to the complemented posted information.

For example, poster P's terminal device 10P may generate a prompt such as, "Please output a sentence in which the content of the target comment has been rewritten in accordance with specified conditions." Furthermore, poster P's terminal device 10P may specify (set) examples of specified conditions such as, "Understand the comment poster's intention and add information to fill in any missing explanations," or "Compare the content of the comment with the content of the linked article to make it easier to understand."

In practice, poster P's terminal device 10P may select and acquire an appropriate prompt from among prompts that have been generated and stored in advance, depending on the specified content and posted information, rather than generating a prompt (instruction sentence) each time to complement the posted information.

Subsequently, poster P's terminal device 10P inputs the specified content, the posted information, and a prompt for completing the posted information into the GPT model, and generates completed posted information using the GPT model (step S3). At this time, poster P's terminal device 10P may use the information output by the GPT model as the completed posted information.

The terminal device 10P of the poster P may further input the poster P's previously posted comments (past posted information) into the GPT model. The terminal device 10P of the poster P may further input reply comments from viewers to the poster P's previously posted (or most recently posted) comments into the GPT model.

For example, poster P's terminal device 10P inputs the "target comment," "linked article content," "content of the reply comment to the target comment," "content of the poster's past comments," etc., along with a prompt, as input data to the GPT model, and obtains the completed posting information generated by the GPT model.

In this way, poster P's terminal device 10P generates supplemented posted information by adding information that is estimated to be lacking in the posted information compared to poster P's intention, based on the specified content and the posted information for that specified content. For example, poster P's terminal device 10P generates supplemented posted information by complementing (or filling in) so-called insufficient explanations or insufficient clarifications in the original posted information.

Subsequently, poster P's terminal device 10P displays the generated supplemented posted information, and displays the additional parts added to the posted information (changes made to the posted information) in a display format (different color, emphasis, etc.) that makes them distinguishable from other text (step S4). In other words, poster P's terminal device 10P prompts poster P to confirm whether the additional parts added to the posted information in the generated supplemented posted information are appropriate.

In addition, if the text of the posted information is corrected when generating the supplemented posted information, the terminal device 10P of the poster P may display the text before and after the correction so that they can be compared. The terminal device 10P of the poster P may also display the reason for the correction.

The terminal device 10P of the poster P confirms with the poster P whether or not the poster P agrees to posting the generated supplemented posted information (step S5). That is, the terminal device 10P of the poster P asks the poster P whether or not to post the supplemented posted information as posted information.

Next, if poster P agrees to post the supplemented posted information (if OK), poster P's terminal device 10P posts the generated supplemented posted information to the specified content (step S6). Note that the posting destination may be a webpage, SNS, app, etc. on which the specified content is posted.

On the other hand, if poster P does not agree to the posting of the supplemented posted information (NG case), poster P's terminal device 10P accepts corrections from poster P to the generated supplemented posted information (additional portion added to the posted information) and posts the corrected supplemented posted information to the specified content (step S7).

Alternatively, if poster P does not agree to posting the supplemented posted information (NG case), poster P's terminal device 10P may again generate a prompt to supplement the posted information by taking poster P's intention into account, and regenerate the supplemented posted information. In other words, poster P's terminal device 10P receives the current result (poster P's intention), returns to step S2, generates a prompt (instruction) that reflects the current result, and regenerates the supplemented posted information.

In the above description, some or all of the processing performed by poster P's terminal device 10P may actually be performed by the server device 100.

[2-2. Supplementary information for viewing]
When the viewer A views the text (the comment body) posted by the poster P, the terminal device 10A of the viewer A, in cooperation with the server device 100 or by using the function of the application, generates supplemental information to make it easier for the viewer A to understand the intention of the poster P. In other words, the terminal device 10A provides supplemental information tailored to the user reading the comment body so that the intention of the poster P can be easily understood.

For example, as shown in FIG. 1, viewer A's terminal device 10A acquires posted information posted by poster P for a specific piece of content and user information (viewer information) of viewer A who is viewing the posted information (step S11).

The posted information posted by poster P may be the above-mentioned supplemented posted information. Furthermore, viewer A's user information (viewer information) includes comments that viewer A has viewed in the past and comments (reply comments) posted in response to comments. Furthermore, viewer A's user information (viewer information) includes viewer A's attribute information and history information. Furthermore, user information may be the segment or persona (personality) to which viewer A belongs in the field of marketing.

Next, viewer A's terminal device 10A, in cooperation with the server device 100 or using the app's functions, generates a prompt (instruction) to assist (support) the viewer in understanding the posted information (step S12).

Here, viewer A's terminal device 10A generates a prompt to assist viewer A in understanding the posted information, instructing viewer A to generate supplemental posted information for viewing that supplements the posted information with supplemental information to help viewer A understand poster P's intention regarding the posted information.

For example, viewer A's terminal device 10A generates a prompt such as, "Please output a sentence that supplements the content of the target comment in accordance with specified conditions." Furthermore, viewer A's terminal device 10A specifies (sets) an example of a specified condition, such as, "Based on the user's attributes (gender, age), past browsing history, etc., please determine the level of understanding of the content of the relevant comment on a scale of 1 to 5. Please complete the comment based on the input data so that the level of understanding reaches 5."

In practice, viewer A's terminal device 10A may not generate prompts (instructions) to assist in understanding posted information each time, but may instead select and acquire an appropriate prompt from among prompts that have been generated and stored in advance, depending on the specified content, posted information, and user information.

Next, viewer A's terminal device 10A inputs the specified content, posted information, user information, and prompts to assist in understanding the posted information into the GPT model, and generates supplemental posted information for viewing using the GPT model (step S13). In other words, supplemental posted information for viewing is generated for each viewer (each user). At this time, viewer A's terminal device 10A may use the information output by the GPT model as supplemental posted information for viewing.

For example, viewer A's terminal device 10A inputs the "target comment (posted information)," "linked article content (predetermined content)," "content of the reply comment to the target comment (reply content)," "content of comments previously viewed by the user (posted information previously viewed)," etc., along with a prompt, into the GPT model, and obtains the supplemental posted information for viewing generated by the GPT model.

In other words, viewer A's terminal device 10A inputs the history (the content of the series of comments) of the viewer regarding posted information on a specific piece of content and the content of the reply comments to those comments into the GPT model, determines the viewer's level of understanding of the posted information, and generates supplemental posted information for viewing that corresponds to the viewer's level of understanding.

At this time, the GPT model estimates viewer A's level of understanding and generates supplemental posted information for viewing so that the estimated level of understanding satisfies specified conditions. For example, the GPT model generates supplemental posted information for viewing so that viewer A's level of understanding is 5.

In this way, viewer A's terminal device 10A generates supplemental posted information for viewing, which supplements the posted information with information that allows viewer A to understand poster P's intention regarding the posted information, based on the specified content, posted information, and user information.

Next, viewer A's terminal device 10A displays the generated supplemental posted information for viewing, and also displays the supplemental parts added to the posted information (changes made to the posted information) in a display format (different color, emphasis, etc.) that makes them distinguishable from other text (step S14).

Note that in the above description, some or all of the processing performed by viewer A's terminal device 10A may actually be performed by the server device 100.

[2-3. Supplementary Notes]
The supplemental posted information for viewing and the supplemental posted information for viewing may not always be generated, but may be generated only when requested by a poster or a viewer. For example, the supplemental posted information for viewing and the supplemental posted information for viewing may be generated when some action requesting generation is performed, such as when a poster or a viewer presses the "Bad button" or the "More details button."

The GPT model may also be configured to check the intent when an action is taken. For example, when an action is taken by a poster or viewer, the GPT model may make an inference and try to guess, "Is this the intent of this text?" In other words, the intent does not necessarily have to be obtained before posting or when viewing, but may be obtained afterwards.

3. Example of terminal device configuration
Next, the configuration of the terminal device 10 will be described with reference to Fig. 2. Fig. 2 is a diagram showing an example configuration of the terminal device 10. As shown in Fig. 2, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40.

(Communication unit 11)
The communication unit 11 is connected to the network N via a wired or wireless connection, and transmits and receives information to and from the server device 100 via the network N. For example, the communication unit 11 is realized by a NIC (Network Interface Card), an antenna, or the like.

(Display section 12)
The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic electroluminescent display (OLED). The display unit 12 is also a touch panel display, but is not limited to this.

(Input unit 13)
The input unit 13 is an input device that accepts various operations from the user U. For example, the input unit 13 has buttons for inputting letters, numbers, etc. The input unit 13 may be an input/output port (I/O port), a USB (Universal Serial Bus) port, etc. In addition, when the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13. In addition, the input unit 13 may be a microphone that accepts voice input from the user U. The microphone may be wireless.

(Positioning unit 14)
The positioning unit 14 receives signals (radio waves) transmitted from satellites of the GPS (Global Positioning System), and acquires, based on the received signals, location information (e.g., latitude and longitude) indicating the current location of the terminal device 10. That is, the positioning unit 14 measures the location of the terminal device 10. Note that the GPS is merely an example of a GNSS (Global Navigation Satellite System).

In addition, the positioning unit 14 can determine the position using various methods other than GPS. For example, the positioning unit 14 may determine the position using various communication functions of the terminal device 10 as an auxiliary positioning means for position correction, etc., as described below.

(Wi-Fi positioning)
For example, the positioning unit 14 uses the Wi-Fi (registered trademark) communication function of the terminal device 10 or the communication networks of each communication company to determine the position of the terminal device 10. Specifically, the positioning unit 14 performs Wi-Fi communication or the like to determine the distance to a nearby base station or access point, thereby determining the position of the terminal device 10.

(Beacon positioning)
The positioning unit 14 may also measure the position by using a Bluetooth (registered trademark) function of the terminal device 10. For example, the positioning unit 14 measures the position of the terminal device 10 by connecting to a beacon transmitter connected via the Bluetooth (registered trademark) function.

(geomagnetic positioning)
The positioning unit 14 also measures the position of the terminal device 10 based on the geomagnetic pattern of the structure measured in advance and a geomagnetic sensor included in the terminal device 10 .

(RFID positioning)
Furthermore, for example, if the terminal device 10 has the functionality of an RFID (Radio Frequency Identification) tag equivalent to a contactless IC card used at station ticket gates, in stores, etc., or has the functionality to read an RFID tag, the location of use is recorded together with information on payments, etc., made by the terminal device 10. The positioning unit 14 may obtain such information to determine the location of the terminal device 10. Alternatively, the location may be determined by an optical sensor, an infrared sensor, or the like provided in the terminal device 10.

If necessary, the positioning unit 14 may use one or a combination of the positioning methods described above to determine the position of the terminal device 10.

(Sensor unit 20)
The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10. The connection may be wired or wireless. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices or wireless devices. In the example shown in FIG. 2 , the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, a barometric pressure sensor 23, a temperature sensor 24, a sound sensor 25, a light sensor 26, a magnetic sensor 27, and an image sensor (camera) 28.

Note that the sensors 21-28 described above are merely examples and are not intended to be limiting. That is, the sensor unit 20 may be configured to include some of the sensors 21-28, or may include other sensors, such as a humidity sensor, in addition to or instead of the sensors 21-28.

The acceleration sensor 21 is, for example, a three-axis acceleration sensor that detects the physical movement of the terminal device 10, such as the direction of movement, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects the physical movement of the terminal device 10, such as tilt in three axial directions, based on the angular velocity of the terminal device 10. The air pressure sensor 23 detects, for example, the air pressure around the terminal device 10.

The terminal device 10 is equipped with the acceleration sensor 21, gyro sensor 22, barometric pressure sensor 23, etc. described above, and is therefore able to determine the position of the terminal device 10 using techniques such as pedestrian dead-reckoning (PDR) that utilize these sensors 21-23. This makes it possible to obtain indoor position information that is difficult to obtain using positioning systems such as GPS.

For example, a pedometer using the acceleration sensor 21 can calculate the number of steps, walking speed, and distance walked. Furthermore, the gyro sensor 22 can be used to determine the user U's direction of travel, line of sight, and body tilt. Furthermore, the atmospheric pressure detected by the atmospheric pressure sensor 23 can be used to determine the altitude and floor on which the user U's terminal device 10 is located.

The temperature sensor 24 detects, for example, the temperature around the terminal device 10. The sound sensor 25 detects, for example, sound around the terminal device 10. The light sensor 26 detects the illuminance around the terminal device 10. The magnetic sensor 27 detects, for example, the geomagnetism around the terminal device 10. The image sensor 28 captures images of the area around the terminal device 10.

The above-mentioned air pressure sensor 23, temperature sensor 24, sound sensor 25, light sensor 26, and image sensor 28 can detect the environment and situation surrounding the terminal device 10 by detecting air pressure, temperature, sound, and illuminance, and capturing images of the surroundings. Furthermore, the accuracy of the location information of the terminal device 10 can be improved based on the environment and situation surrounding the terminal device 10.

(Control unit 30)
The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), ROM (Read Only Memory), RAM, input/output ports, and various other circuits. The control unit 30 may also be configured with hardware such as an integrated circuit, for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmitting unit 31, a receiving unit 32, and a processing unit 33.

(Transmitter 31)
The transmission unit 31 can transmit, for example, various information input by the user U using the input unit 13, various information detected by each sensor 21 to 28 mounted on or connected to the terminal device 10, and location information of the terminal device 10 measured by the positioning unit 14 to the server device 100 via the communication unit 11.

(Receiving unit 32)
The receiving unit 32 can receive various information provided by the server device 100 and requests for various information from the server device 100 via the communication unit 11 .

(Processing unit 33)
The processing unit 33 controls the entire terminal device 10, including the display unit 12. For example, the processing unit 33 can output various information transmitted by the transmission unit 31 and various information received from the server device 100 by the reception unit 32 to the display unit 12 for display.

Furthermore, by launching an app or the like, the processing unit 33 may function (operate) as an acquisition unit 33A, a generation unit 33B, a display control unit 33C, a confirmation unit 33D, and a posting unit 33E, as shown below.

(Acquisition unit 33A: poster side)
The acquisition unit 33A acquires the posting information for a predetermined content from the poster P before the posting. Note that the acquisition unit 33A may be the input unit 13.

(Acquisition unit 33A: viewer side)
From another perspective, when viewer A views the posted information posted by poster P for specified content, the acquisition unit 33A acquires the posted information posted by poster P for specified content and viewer information, which is user information of viewer A who views the posted information.

(Generation unit 33B: poster side)
The generation unit 33B generates supplemented posted information by adding information that is estimated to be lacking in the posted information in comparison with the poster P's intention, based on predetermined content and the posted information.

For example, the generation unit 33B inputs specified content, posted information, and a prompt for completing the posted information into the GPT model, and generates completed posted information using the GPT model.

At this time, the generation unit 33B inputs a prompt to the GPT model to generate supplemented posted information so that any viewer A can easily understand the specified content simply by referring to the supplemented posted information, as a prompt to complement the posted information.

In addition, the generation unit 33B inputs a prompt to the GPT model to instruct it to output text that rewrites the posted information in accordance with specified conditions as a prompt to complement the posted information.

For example, the specified conditions are added to understand the poster's intentions and fill in any gaps in explanation. Also, the specified conditions are used to compare specified content with posted information to make it easier to understand.

(Generation unit 33B: viewer side)
From another perspective, the generation unit 33B generates supplementary posted information for viewing based on specified content, posted information, and viewer information, supplementing the posted information with information that allows viewer A to understand the intention of poster P regarding the posted information.

The posted information may be the above-mentioned supplemented posted information. In other words, the posted information may be supplemented, in which, at the time of posting by poster P, information that is estimated to be missing from the posted information in comparison with the poster P's intention is added to the posted information based on the specified content and the posted information.

For example, the generation unit 33B inputs specified content, posted information, viewer information, and prompts to assist in understanding the posted information into the GPT model, and generates supplemental posted information for viewing using the GPT model.

At this time, the generation unit 33B inputs a prompt to the GPT model to instruct it to generate supplemental posted information for viewing, which supplements the posted information with supplemental information to help viewer A understand the intention behind the posted information of poster P, as a prompt to assist in understanding the posted information.

In addition, the generation unit 33B inputs a prompt to the GPT model to instruct it to output a sentence that supplements the posted information in accordance with specified conditions as a prompt to complement the posted information.

For example, the specified condition is to determine the level of understanding of the content of posted information on a 5-point scale based on viewer A's attributes and past viewing history, and to supplement the posted information based on input data so that the level of understanding reaches 5.

The input data includes the specified content, posted information, replies to the posted information, and posted information that viewer A has previously viewed.

(Display control unit 33C: poster side)
The display control unit 33C displays the generated complemented posted information on the display unit 12, and also displays the changes made to the posted information in a display mode that allows them to be distinguished from other sentences. At this time, the display unit 12 displays the generated complemented posted information.

(Display control unit 33C: viewer side)
From another perspective, the display control unit 33C displays the generated supplemental posted information for viewing on the display unit 12, and also displays the changes made to the posted information in a display mode that allows them to be distinguished from other text. At this time, the display unit 12 displays the generated supplemental posted information for viewing.

(Confirmation unit 33D: poster side)
The confirmation unit 33D confirms with the poster P, who has confirmed the displayed complemented posted information, whether or not he or she agrees to the posting of the complemented posted information.

(Posting section 33E: poster side)
The posting unit 33E posts the generated complemented posted information. For example, if the poster P agrees to post the complemented posted information, the posting unit 33E posts the generated complemented posted information.

(Storage unit 40)
The storage unit 40 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk drive (HDD), a solid state drive (SSD), an optical disk, etc. The storage unit 40 stores various programs, various data, etc.

4. Example of Server Device Configuration
Next, the configuration of the server device 100 according to the embodiment will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of the server device 100 according to the embodiment. As shown in Fig. 3, the server device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a network interface card (NIC), etc. The communication unit 110 is connected to a network N by wire or wirelessly.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as an HDD, an SSD, an optical disk, etc. The storage unit 120 may store attribute information and history information (log data) of the user U together with identification information (such as a user ID) indicating the user U.

(Control unit 130)
The control unit 130 is a controller, and is realized by, for example, a central processing unit (CPU), a micro processing unit (MPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or the like, by executing various programs (corresponding to examples of information processing programs) stored in a storage device inside the server device 100 using a storage area such as a RAM as a working area. In the example shown in FIG. 4 , the control unit 130 includes an acquisition unit 131, a reception unit 132, a learning unit 133, an inference unit 134, and a provision unit 135.

(Acquisition unit 131)
The acquisition unit 131 acquires a search query input by a user U. For example, when the user U inputs a search query into a search engine or the like to perform a keyword search, the acquisition unit 131 acquires the search query via the communication unit 110. That is, the acquisition unit 131 acquires the keywords input by the user U into the search box of a search engine, website, or app via the communication unit 110.

The acquisition unit 131 also acquires user information about user U via the communication unit 110. For example, the acquisition unit 131 acquires identification information (such as a user ID) indicating user U, location information about user U, attribute information about user U, etc. from user U's terminal device 10. The acquisition unit 131 may also acquire identification information indicating user U, attribute information about user U, etc. when user U is registered. The acquisition unit 131 then stores the user information in the storage unit 120.

The acquisition unit 131 also acquires various types of history information (log data) indicating the behavior of user U via the communication unit 110. For example, the acquisition unit 131 acquires various types of history information indicating the behavior of user U from user U's terminal device 10 or from various servers based on the user ID, etc. Then, the acquisition unit 131 stores the various types of history information in the storage unit 120.

(Reception unit 132)
The reception unit 132 receives a prompt (instruction statement) to be input into a GPT (Generative Pretrained Transformer) model from the terminal device 10 of each user U via the communication unit 110. Note that the reception unit 132 may be a part of the acquisition unit 131 described above.

(Learning unit 133)
The learning unit 133 uses machine learning to generate and construct a GPT model to be used in the server device 100. In practice, the model is not limited to a GPT model, and may be a large language model (LLM) having similar functions.

(Inference unit 134)
The inference unit 134 infers an appropriate answer in response to a prompt input into the GPT model. For example, the inference unit 134 inputs a prompt into the GPT model and outputs an appropriate answer in response to the prompt.

(Providing unit 135)
The providing unit 135 provides an appropriate answer (inferred answer) in response to the input prompt to the terminal device 10 of each user U via the communication unit 110. Note that the providing unit 135 may provide a free version, paid version, or trial version of the GPT model, or a plug-in that can be used for the GPT model, to the terminal device 10 of each user U via the communication unit 110.

The providing unit 135 may also provide various web services to the terminal device 10 of each user U via the communication unit 110. For example, the providing unit 135 may provide predetermined content to the terminal device 10 of each user U via the communication unit 110. The providing unit 135 may also provide a comment section for posting comments on the predetermined content, as well as posting information on the predetermined content, to the terminal device 10 of each user U via the communication unit 110.

(others)
In the above description, if the server device 100 performs some or all of the processing performed by the terminal device 10 of the user U (the terminal device 10P of the poster P or the terminal device 10A of the viewer A), the control unit 130 may have the acquisition unit 33A, generation unit 33B, display control unit 33C, confirmation unit 33D, and posting unit 33E shown in Figure 2.

5. Processing Procedure
Next, a processing procedure performed by the terminal device 10 of the user U according to the embodiment will be described with reference to Fig. 4. Fig. 4 is a flowchart showing the processing procedure according to the embodiment. Note that the processing procedure shown below is repeatedly executed by the control unit 30 of the terminal device 10 of the user U.

For example, as shown in FIG. 4, the acquisition unit 33A of the terminal device 10P of poster P acquires posted information for a specific content from poster P before posting the information (step S101).

Next, the generation unit 33B of poster P's terminal device 10P generates supplemented posted information by adding information that is estimated to be missing from the posted information compared to poster P's intention, based on the specified content and the posted information (step S102).

For example, the generation unit 33B inputs specified content, posted information, and a prompt for completing the posted information into the GPT model, and generates completed posted information using the GPT model.

Next, the display control unit 33C of poster P's terminal device 10P displays the generated completed posted information, and also displays the additional portion (the completed portion) added to the posted information in a display format that makes it distinguishable from other text (step S103).

Next, the confirmation unit 33D of the poster P's terminal device 10P confirms with the poster P, who has confirmed the displayed supplemented posted information, whether or not he or she agrees to post the supplemented posted information (step S104).

If poster P does not agree to posting the supplemented posted information (step S104: No), the confirmation unit 33D of poster P's terminal device 10P regenerates the supplemented posted information reflecting the current results (return to step S102).

Next, if the poster P agrees to post the complemented posted information (Step S104: Yes), the posting unit 33E of the poster P's terminal device 10P posts the generated complemented posted information (Step S105).

Next, when viewer A views the posted information posted by poster P for the specified content (which may be the above-mentioned supplemented posted information), the acquisition unit 33A of viewer A's terminal device 10A acquires the posted information posted by poster P for the specified content and viewer information, which is user information of viewer A viewing the posted information (step S106).

Next, the generation unit 33B of viewer A's terminal device 10A generates supplemental posted information for viewing, which supplements the posted information with information to help viewer A understand poster P's intention regarding the posted information, based on the specified content, the posted information, and the viewer information (step S107).

For example, the generation unit 33B inputs specified content, posted information, viewer information, and prompts to assist in understanding the posted information into the GPT model, and generates supplemental posted information for viewing using the GPT model.

Next, the display control unit 33C of viewer A's terminal device 10A displays the generated supplemental posted information for viewing on the display unit 12, and also displays the changes made to the posted information (the supplemental parts) in a display format that makes them distinguishable from other text (step S108).

6. Modifications
The terminal device 10 and the server device 100 described above may be implemented in various different forms other than the above-described embodiment. Therefore, modifications of the embodiment will be described below.

In the above embodiment, some or all of the processing performed by the server device 100 may actually be performed by the terminal device 10 (or an app running on the terminal). For example, processing may be completed standalone (by the terminal device 10 alone). In this case, the terminal device 10 is assumed to have the functions of the server device 100 in the above embodiment. Furthermore, in the above embodiment, the terminal device 10 is linked to the server device 100, so from the perspective of the user U, it appears that the processing of the server device 100 is also being performed by the terminal device 10. In other words, from another perspective, the terminal device 10 can also be said to be equipped with the server device 100.

Furthermore, in the above embodiment, when generating the complemented posted information (or supplemental posted information for viewing), the terminal device 10 of user U may replace internal terms, such as industry jargon or company jargon, with general terms to generate the complemented posted information (or supplemental posted information for viewing).

Furthermore, in the above embodiment, when generating the complemented posted information (or the supplemental posted information for viewing), the terminal device 10 of user U may generate the complemented posted information (or the supplemental posted information for viewing) by replacing dialect-based expressions with standard Japanese expressions.

Furthermore, in the above embodiment, when generating the complemented posted information (or supplemental posted information for viewing), the terminal device 10 of user U may generate the complemented posted information (or supplemental posted information for viewing) by adding appropriate explanations (or notes, supplements, etc.) to technical terms or difficult terms used in the original posted information.

7. Effects
(Poster)
As described above, the information processing device (terminal device 10 and server device 100) according to the present application is characterized by including an acquisition unit 33A that acquires posted information for a specified content from a poster P before posting the information, a generation unit 33B that generates supplemented posted information by adding, to the posted information, information that is estimated to be lacking in the posted information compared to the poster P's intention, based on the specified content and the posted information, and a posting unit 33E that posts the generated supplemented posted information.

For example, the generation unit 33B inputs specified content, posted information, and a prompt for completing the posted information into the GPT model, and generates completed posted information using the GPT model.

At this time, the generation unit 33B inputs a prompt to the GPT model to generate supplemented posted information so that any viewer A can easily understand the specified content simply by referring to the supplemented posted information, as a prompt to complement the posted information.

In addition, the generation unit 33B inputs a prompt to the GPT model to instruct it to output text that rewrites the posted information in accordance with specified conditions as a prompt to complement the posted information.

For example, the specified conditions are added to understand the poster's intentions and fill in any gaps in explanation.

In addition, the specified conditions are used to compare specified content with posted information to make it easier to understand.

The information processing device according to the present application also includes a display control unit 33C that displays the generated supplemented posted information and displays the changes made to the posted information in a manner that makes them distinguishable from other text.

The information processing device according to the present application further includes a confirmation unit 33D that confirms with the poster P, who has confirmed the displayed complemented posted information, whether or not he or she agrees to posting the complemented posted information. If the poster P agrees to posting the complemented posted information, the posting unit 33E posts the generated complemented posted information.

(Viewer side)
From another perspective, the information processing device (terminal device 10 and server device 100) of the present application is characterized by comprising an acquisition unit 33A that acquires posted information posted by a poster P for specified content and viewer information which is user information of a viewer A who views the posted information, a generation unit 33B that generates supplemental posted information for viewing by supplementing the posted information with information to enable viewer A to understand the intention of the poster P regarding the posted information based on the specified content, the posted information and the viewer information, and a display unit 12 that displays the generated supplemental posted information for viewing.

For example, the generation unit 33B inputs specified content, posted information, viewer information, and prompts to assist in understanding the posted information into the GPT model, and generates supplemental posted information for viewing using the GPT model.

At this time, the generation unit 33B inputs a prompt to the GPT model to instruct it to generate supplemental posted information for viewing, which supplements the posted information with supplemental information to help viewer A understand the intention behind the posted information of poster P, as a prompt to assist in understanding the posted information.

In addition, the generation unit 33B inputs a prompt to the GPT model to instruct it to output a sentence that supplements the posted information in accordance with specified conditions as a prompt to complement the posted information.

For example, the specified condition is to determine the level of understanding of the content of posted information on a 5-point scale based on viewer A's attributes and past viewing history, and to supplement the posted information based on input data so that the level of understanding reaches 5.

The input data includes the specified content, posted information, replies to the posted information, and posted information that viewer A has previously viewed.

The information processing device according to the present application is further characterized by including a display control unit 33C that displays the generated supplemental posted information for viewing on the display unit 12 and displays the changes made to the posted information in a display format that makes them distinguishable from other text.

The posted information is supplemented when posted by poster P, by adding information that is estimated to be missing from the posted information in comparison with poster P's intention, based on the specified content and the posted information.

By using any one or a combination of the above processes, the information processing device of the present application can complete the text so that it appropriately reflects the intentions of poster P.

8. Hardware Configuration
The terminal device 10 and the server device 100 according to the above-described embodiments are realized by a computer 1000 having a configuration as shown in Fig. 5, for example. The following description will be given taking the server device 100 as an example. Fig. 5 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output I/F (Interface) 1060, an input I/F 1070, and a network I/F 1080 are connected via a bus 1090.

The arithmetic unit 1030 operates based on programs stored in the primary storage device 1040 and secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The arithmetic unit 1030 is realized, for example, by a CPU (Central Processing Unit), MPU (Micro Processing Unit), ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), etc.

The primary storage device 1040 is a memory device, such as RAM (Random Access Memory), that primarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), HDD (Hard Disk Drive), SSD (Solid State Drive), flash memory, etc. The secondary storage device 1050 may be internal storage or external storage. The secondary storage device 1050 may also be a removable storage medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) memory card. The secondary storage device 1050 may also be cloud storage (online storage), NAS (Network Attached Storage), a file server, etc.

The output I/F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a display, projector, printer, etc., and is realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (High Definition Multimedia Interface, registered trademark). The input I/F 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, keypad, buttons, scanner, etc., and is realized by USB, for example.

Furthermore, the output I/F 1060 and the input I/F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. In other words, the output device 1010 and the input device 1020 may be wireless devices.

Furthermore, the output device 1010 and the input device 1020 may be integrated, such as a touch panel. In this case, the output I/F 1060 and the input I/F 1070 may also be integrated as an input/output I/F.

The input device 1020 may be a device that reads information from, for example, optical recording media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), and PDs (Phase Change Rewritable Disks), magneto-optical recording media such as MOs (Magneto-Optical Disks), tape media, magnetic recording media, or semiconductor memories.

The network I/F 1080 receives data from other devices via the network N and sends it to the computing device 1030, and also transmits data generated by the computing device 1030 to other devices via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I/F 1060 and the input I/F 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the server device 100, the arithmetic unit 1030 of the computer 1000 realizes the functions of the control unit 130 by executing a program loaded onto the primary storage device 1040. The arithmetic unit 1030 of the computer 1000 may also load a program acquired from another device via the network I/F 1080 onto the primary storage device 1040 and execute the loaded program. The arithmetic unit 1030 of the computer 1000 may also cooperate with other devices via the network I/F 1080 and call and use program functions, data, etc. from other programs on the other devices.

[9. Other]
Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. Furthermore, the above-described components include those that can be easily imagined by a person skilled in the art, those that are substantially the same, and those that are within the scope of so-called equivalents. Furthermore, the above-described components can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the above-described embodiments.

Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown.

Furthermore, the components of each device shown in the figure are functional concepts and do not necessarily have to be physically configured as shown. In other words, the specific form of distribution and integration of each device is not limited to that shown, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

For example, the above-mentioned server device 100 may be implemented using multiple server computers, and depending on the function, the configuration can be flexibly changed, such as by calling an external platform using an API (Application Programming Interface) or network computing.

Furthermore, the above-described embodiments and variations can be combined as appropriate to the extent that the processing content is not contradictory.

Furthermore, the "section, module, unit" mentioned above can be read as "means" or "circuit." For example, an acquisition unit can be read as an acquisition means or an acquisition circuit.

REFERENCE SIGNS LIST 10 Terminal device 11 Communication unit 12 Display unit 13 Input unit 14 Positioning unit 20 Sensor unit 31 Transmission unit 32 Reception unit 33 Processing unit 33A Acquisition unit 33B Generation unit 33C Display control unit 33D Confirmation unit 33E Posting unit 100 Server device 110 Communication unit 120 Storage unit 130 Control unit 131 Acquisition unit 132 Reception unit 133 Learning unit 134 Inference unit 135 Provision unit

Claims (9)

an acquisition unit that acquires posted information posted by a poster for a predetermined content and viewer information that is user information of a viewer who views the posted information;
a generating unit that generates supplemental posted information for viewing by supplementing the posted information with information for the viewer to understand the poster's intention regarding the posted information, based on the predetermined content, the posted information, and the viewer information;
a display unit that displays the generated supplemental posted information for viewing;
Equipped with
The generation unit inputs the predetermined content, the posted information, the viewer information, and a prompt for assisting in understanding the posted information to a GPT model, and generates supplemental posted information for viewing using the GPT model.
1. An information processing device comprising: The information processing device according to claim 1, characterized in that the generation unit inputs a prompt to the GPT model to instruct the GPT model to generate supplemental posted information for viewing, which supplements the posted information with supplemental information to enable the viewer to understand the poster's intention regarding the posted information, as a prompt to assist in understanding the posted information. The information processing device according to claim 1 , wherein the generation unit inputs, to the GPT model, a prompt for instructing the GPT model to output a sentence that supplements the posted information in accordance with a predetermined condition as a prompt for complementing the posted information. The information processing device according to claim 3, characterized in that the predetermined condition is to judge the degree of understanding of the content of the posted information on a five-point scale based on the attributes and past browsing history of the viewer, and to complement the posted information based on input data so that the degree of understanding reaches five . The information processing device according to claim 4 , wherein the input data includes predetermined content, posted information, a reply to the posted information, and posted information previously viewed by the viewer. The information processing device according to claim 1, further comprising a display control unit that displays the generated supplemental posted information for viewing on a display unit and displays changes made to the posted information in a display manner that makes them distinguishable from other text. The information processing device according to claim 1, characterized in that the posted information is supplemented posted information in which, at the time of posting by the poster , information that is estimated to be missing from the posted information is added to the posted information based on the specified content and the posted information posted by the poster for the specified content, in comparison with the poster's intention. An information processing method executed by an information processing device,
an acquiring step of acquiring posted information posted by a poster for predetermined content and viewer information which is user information of a viewer who views the posted information;
a generating step of generating supplemental posted information for viewing by supplementing the posted information with information for the viewer to understand the poster's intention regarding the posted information, based on the predetermined content, the posted information, and the viewer information;
a display step of displaying the generated supplemental posted information for viewing;
Including,
In the generating step, the predetermined content, the posted information, the viewer information, and a prompt for assisting in understanding the posted information are input to a GPT model, and supplemental posted information for viewing is generated using the GPT model.
1. An information processing method comprising: an acquisition step of acquiring posted information posted by a poster for a predetermined content and viewer information, which is user information of a viewer who views the posted information;
a generating step of generating supplemental posted information for viewing by supplementing the posted information with information for the viewer to understand the poster's intention regarding the posted information, based on the predetermined content, the posted information, and the viewer information;
a display step of displaying the generated supplemental posted information for viewing;
An information processing program for causing a computer to execute the above,
In the generation step, the predetermined content, the posted information, the viewer information, and a prompt for assisting in understanding the posted information are input to a GPT model, and supplemental posted information for viewing is generated using the GPT model.
An information processing program characterized by: