Information processing apparatus, information processing method, and information processing program

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The system chronologically displays knowledge acquisition history and guides users to relevant content for future learning, addressing the lack of visualization in conventional technologies.

JP2026013734APending Publication Date: 2026-01-29LY CORP

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Patent Information

Application Number: JP2024114290
Authority / Receiving Office: JP · JP
Patent Type: Applications
Current Assignee / Owner
Filing Date: 2024-07-17
Publication Date: 2026-01-29

AI Technical Summary

Technical Problem

Conventional technologies fail to visualize the history of knowledge acquisition through article viewing, leaving users unaware of what knowledge they have gained.

Method used

An information processing system comprising a terminal device and a server device that estimates knowledge acquisition, chronologically displays this knowledge, and links it to the source content, while predicting and guiding users to content for future knowledge acquisition.

Benefits of technology

Enables visualization of knowledge acquisition history and suggests relevant content for further learning, enhancing user awareness and engagement.

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Abstract

To visualize a history of knowledge acquisition by browsing articles.SOLUTION: An information processing device according to the present application includes an acquired knowledge estimation unit configured to estimate knowledge acquired by a user from content used by the user, a management unit configured to accumulate and store the knowledge acquired by the user and a link to used content from which the knowledge is acquired, and a time-series display unit configured to display the knowledge acquired by the user and the link to the used content from which the knowledge is acquired in time series in order of acquisition of the knowledge.SELECTED DRAWING: Figure 1

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Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] A technology has been disclosed for delivering image information related to the contents of an electronic article to a user terminal (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-072949 Summary of the Invention [Problem to be solved by the invention]

[0004] However, while the above-mentioned conventional technology can create a multi-line summary of the content of an article from the main text of the article contained in an electronic article, it does not allow users to know what knowledge they have acquired up to that point. Therefore, there is a need for a means to visualize the history of knowledge acquisition through article viewing.

[0005] The present application has been made in view of the above, and aims to realize visualization of the history of knowledge acquisition through article browsing. [Means for solving the problem]

[0006] The information processing device of the present application is characterized by comprising an acquired knowledge estimation unit that estimates knowledge acquired by a user from content used by the user, a management unit that accumulates and stores the knowledge acquired by the user and links to used content from which the knowledge was obtained, and a time series display unit that chronologically displays the knowledge acquired by the user and links to used content from which the knowledge was obtained in the order in which the knowledge was acquired. [Effects of the Invention]

[0007] According to one aspect of the embodiment, it is possible to visualize the history of knowledge acquisition through article browsing. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Figure 4] FIG. 4 is a flowchart showing a processing procedure according to the embodiment. [Figure 5] FIG. 5 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an information processing device, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to these embodiments. Furthermore, the same components in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

[0010] [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. The terminal device 10 and the server device 100 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 LAN (Local Area Network), a WAN (Wide Area Network), the Internet, etc.

[0011] Terminal device 10 is an information processing device used by a user U. For example, terminal device 10 may be a smart device such as a smartphone or tablet terminal, a desktop or notebook (laptop) type PC (Personal Computer), a mobile phone such as a feature phone (Gala-ke or Gala-ho), a PDA (Personal Digital Assistant), a game console or AV device with communication functions, an information appliance or digital appliance, a car navigation system, a wearable device such as a smart watch, a head-mounted display, or smart glasses. Terminal device 10 may also be a house or building, a car, a home appliance, an electronic device, or the like that is compatible with the Internet of Things (IOT).

[0012] In this embodiment, the terminal device 10 is a smart device such as a smartphone or tablet used by a 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), Bluetooth (registered trademark), or wireless LAN. The terminal device 10 has a screen such as a liquid crystal display with a touch panel function, and accepts various operations on displayed data such as content, such as tapping, sliding, and scrolling, performed by the user U with a finger or a stylus. An operation performed on an area of the screen where content is displayed may be considered an operation on the content. The terminal device 10 may be not only a smart device, but also an information processing device such as a desktop PC or a laptop PC.

[0013] The server device 100 is, for example, a computer such as a PC or a blade server, or a mainframe or a workstation, etc. The server device 100 may be realized by cloud computing.

[0014] 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 the terminal device 10 of each user U, and is realized by a computer, a cloud system, etc.

[0015] The server device 100 may also be an information processing device that provides some kind of online service to the terminal device 10 of each user U. For example, the server device 100 may provide the following online services: internet connection, search service, chat service, interactive service using voice, images, videos, etc., social networking service (SNS), electronic commerce (EC), electronic payment, online games, online banking, online trading, hotel and ticket reservations, video and music distribution, news, maps, route search, route guidance, line information, operation information, weather forecast, etc. In practice, the server device 100 may cooperate with various servers that provide the above-mentioned online services and act as an intermediary for the online services or may be responsible for processing the online services.

[0016] The server device 100 can acquire user information about the user U. For example, the server device 100 acquires, as the user information, information (attribute information) about the attributes of the user U, such as the gender, age, and residential area of the user U. The server device 100 can also acquire information about the attributes of the user U, such as demographic attributes, psychographic attributes, geographic attributes, and behavioral attributes. The server device 100 may also acquire, as the user information, a segment to which the user U belongs in the marketing field or a persona (personality). The server device 100 then stores and manages the information (attribute information) about the attributes of the user U together with identification information (such as a user ID) that identifies the user U.

[0017] The server device 100 also acquires various types of history information (log data) indicating the behavior of the user U from the terminal device 10 of the user U or from various servers based on the user ID, etc. For example, the server device 100 acquires a location history, which is a history of the user U's location and date and time, from the terminal device 10. The server device 100 also acquires a search history, which is a history of search queries entered by the user U, from a search server (search engine). The server device 100 also acquires a browsing history, which is a history of content viewed by the user U, from a content server. The server device 100 also acquires a purchase history (payment history), which is a history of the user U's product purchases and payment processes, from an e-commerce server or a payment processing server. The server device 100 may also acquire a listing history and a sales history, which are a history of the user U's listings on the marketplace, from the e-commerce server or the payment processing server. The server device 100 also acquires a posting history, which is a history of the user U's posts, from a posting server or SNS server that provides a word-of-mouth posting service. The various servers and the like described above may be the server device 100 itself. That is, the server device 100 may function as the various servers and the like described above.

[0018] Furthermore, the number of devices included in the information processing system 1 shown in Fig. 1 is not limited to that shown in the figure. For example, in Fig. 1, for the sake of simplicity, only one terminal device 10 is shown, but this is merely an example and is not limiting, and two or more devices may be included.

[0019] [2. Visualization of the timeline of knowledge acquisition] In this embodiment, the server device 100 visualizes (makes visible) the knowledge acquisition of the user U through contact with news in chronological order. For example, the server device 100 visualizes the increased knowledge (knowledge acquisition) in chronological order based on the news browsing and behavior history of the user U. Then, the server device 100 predicts knowledge that should be acquired in the future (knowledge that would be desirable to acquire in the future) from the history of knowledge acquisition visualized in chronological order, suggests browsing news related to that knowledge, and guides the user to that news.

[0020] The server device 100 realizes the above mechanism using AI (Artificial Intelligence) such as GPT (Generative Pre-trained Transformer). GPT is a text generation AI, and is a language model capable of generating sentences using natural language processing. However, AI such as GPT is merely an example. In reality, a similar technology may also be used.

[0021] 1, the server device 100 cooperates with the terminal device 10 of the user U, and acquires the browsing history of the content when the user U browses content such as news (step S1). For example, the server device 100 acquires the browsing history for each category of content browsed by the user U, such as economics or science.

[0022] Note that the content according to this embodiment is not limited to news. The content may be content that can be displayed on a browser, an app, or the like, and may be content related to a predetermined theme, article, topic, or the like. For example, the content may be a social networking site, a Q&A site, a specialized field site, a life advice site, or the like. The content may include at least text, and may also include image data such as photos and videos, audio data, and music data. In other words, the server device 100 may estimate knowledge that can be acquired not only from the text of the content, but also from images, audio, and the like that accompany the content.

[0023] In practice, the server device 100 may acquire not only a content viewing history but also a behavioral history relating to behaviors that are believed to have led to knowledge acquisition. For example, the server device 100 may acquire a viewing history of videos or broadcasts, a purchase history of e-books, a participation history of online training, seminars, and events, etc. In other words, the server device 100 may acquire a content usage history.

[0024] Next, the server device 100 analyzes the content viewed by the user U and estimates the knowledge (acquired knowledge) that the user U has acquired from the content (step S2). For example, the server device 100 estimates the knowledge that can be acquired from the content.

[0025] The server device 100 may estimate the knowledge acquired by the user U based on the history of content viewed by the user U. That is, the server device 100 may estimate the knowledge acquired by the user U from the details of one or more pieces of content. For example, the server device 100 may estimate the overall knowledge acquired by the user U by viewing a series of content.

[0026] Next, the server device 100 associates the link of the content viewed by the user U with the estimated knowledge (acquired knowledge) and stores them (step S3). That is, the server device 100 stores the link of the content viewed by the user U and the knowledge acquired from the content as a pair. Note that the link may be a thumbnail, a banner, or any other similar link.

[0027] Next, the server device 100 displays pairs of inferred knowledge (acquired knowledge) and links to the viewed content that are the source of the knowledge in chronological order based on the viewing history of the content, thereby visualizing the history of knowledge acquisition (step S4). For example, the server device 100 displays pairs of inferred knowledge and links to the viewed content that are the source of the knowledge in chronological order, starting from the oldest.

[0028] The server device 100 may limit the objects to be arranged in chronological order to the contents viewed and knowledge acquired within a certain period (e.g., within one month, within six months, etc.). When arranging the contents in chronological order, the server device 100 may display the date and day of the week on which the contents were viewed, whether that day was a weekday or a holiday, or the time or time zone, such as morning, noon, or night, when the contents were viewed.

[0029] Next, based on the visualized knowledge acquisition history, the server device 100 estimates knowledge that the user U has not yet acquired (unacquired knowledge) as knowledge that should be acquired in the future (recommended knowledge to acquire) (step S5). For example, based on the knowledge displayed in chronological order, the server device 100 estimates knowledge that has not yet been acquired (displayed in chronological order) (unacquired knowledge) among knowledge that should be acquired in the content category (acquirable knowledge) as knowledge that should be acquired in the future (recommended knowledge to acquire). At this time, the server device 100 constructs a knowledge acquisition model that indicates items of knowledge that should be acquired for each content category, and if there is an item for which knowledge has not been acquired in light of this knowledge acquisition model, it estimates that the knowledge of that item is insufficient.

[0030] Next, the server device 100 searches for unviewed content from which the estimated knowledge to be acquired in the future (recommended knowledge to be acquired) can be acquired (step S6). For example, the server device 100 searches for unviewed content from which the knowledge can be acquired, using the knowledge to be acquired in the future as a search query.

[0031] At this time, the server device 100 may search for unviewed content from which knowledge to be acquired in the future (recommended knowledge to acquire) can be acquired on a network N such as the Internet. Alternatively, the server device 100 may create a database in advance of unviewed content from which knowledge to be acquired in the future (recommended knowledge to acquire) for each content category (or for each type of knowledge), and search for unviewed content from which knowledge to be acquired in the future (recommended knowledge to acquire) can be acquired on the database.

[0032] In practice, the server device 100 may input a prompt (prompt: instruction sentence) to an AI such as GPT inquiring about unviewed content from which knowledge that should be acquired in the future (recommended knowledge to acquire) can be acquired, and obtain information about unviewed content from which knowledge that should be acquired in the future (recommended knowledge to acquire) can be acquired as a response from the AI.

[0033] Next, the server device 100 suggests to the user U that he / she view the unviewed content obtained as a result of the search, and guides the user U to the unviewed content (step S7). For example, the server device 100 displays a chronologically visualized history of knowledge acquisition on the terminal device 10 of the user U, and presents to the user U a sentence recommending the acquisition of the estimated knowledge to be acquired in the future, and a link to the unviewed content from which the knowledge can be acquired. In other words, the server device 100 suggests to the user U that he / she view the unviewed content from which the estimated knowledge to be acquired in the future can be acquired, and guides the user U to the unviewed content. In practice, the server device 100 may also have an AI such as GPT suggest and guide the user U to the unviewed content.

[0034] [2-1. Knowledge Criteria] In this embodiment, the server device 100 determines that the content is "knowledge" if it falls under any of the five categories of "objectivity and reliability," "usefulness and applicability," "expertise and depth," "novelty and uniqueness," and "structuredness and clarity." For example, the server device 100 determines whether the content conforms to the rules for each of the above five categories. Note that whether the content conforms to the rules for each category may be determined by an AI such as GPT.

[0035] (1) Objectivity and reliability For example, in the case of science news, the quality of a news item can be judged based on whether the scientific research results have been published in a reliable academic journal. Whether or not a news item has been published in a reliable academic journal can be determined using AI such as GPT. In the case of economic news, the quality of a news item can be judged based on whether economic indicators and statistical data have been provided by a reliable government or international organization.

[0036] (2) Usefulness and applicability For example, science news is judged based on how the research results contribute to medical or technological advances, while economic news is judged based on how the data can help companies with their strategies and investment decisions.

[0037] (3) Expertise and depth For example, science news articles are judged based on whether they provide detailed methodology for the research and an interpretation of the results, while economic news articles are judged based on whether they delve deeply into the background and factors behind the economic situation.

[0038] (4) Novelty and uniqueness For example, science news is judged based on whether it proposes new discoveries or theories, while economic news is judged based on whether it includes new economic trends or predictions.

[0039] (5) Structure and clarity For example, science news is judged on whether research results are clearly explained using charts and graphs, while economic news is judged on whether data and analysis are clearly explained using graphs and charts.

[0040] For each of the above items, if the conditions are met as a result of the determination, the server device 100 determines that knowledge of that item has been acquired. Conversely, if the conditions are not met, it determines that knowledge of that item has not been acquired. Note that while the above explanations use science news and economic news as examples, the same applies to other news, such as news about politics, society, overseas affairs, international affairs, industry, medicine, culture, art, sports, entertainment, weather, disasters, etc.

[0041] At this time, the server device 100 may calculate a score for each of the above items, indicating the degree to which the conditions are satisfied. For example, the server device 100 may calculate an objectivity score and a reliability score, and set the sum of the objectivity score and the reliability score as the score for the first item, "objectivity and reliability." The server device 100 may then determine that knowledge of an item has been acquired if the score of each item is equal to or greater than a threshold. Alternatively, the server device 100 may determine that all knowledge of the content category has been acquired if the total sum of the scores of the above five items is equal to or greater than a threshold.

[0042] The server device 100 may add an explanation about the relevant item or a tag indicating the item to the knowledge displayed in chronological order so that it is clear which item the knowledge belongs to.

[0043] For each content category, such as news, the server device 100 determines whether the user U has acquired all of the above five items of knowledge. If the user U has acquired all of the above five items of knowledge for a certain category, the server device 100 presumes that the user U has sufficient knowledge for that content category. Then, the server device 100 searches for unviewed content in other categories that relates to knowledge that the user U has not yet acquired, suggests to the user U that he or she view the detected unviewed content, and guides the user U to the unviewed content.

[0044] Conversely, if the user U has not acquired knowledge of any of the above five items in a certain category, the server device 100 infers that the knowledge on that item is knowledge that the user U lacks and should acquire in the future.The server device 100 then searches for unviewed content related to the inferred knowledge that the user U should acquire in the future, suggests to the user U that he / she view the detected unviewed content, and guides him / her to the unviewed content.

[0045] According to this embodiment, it is possible to visualize the history of knowledge acquisition through content use, predict unacquired knowledge to be acquired in the future, and guide users to content from which the unacquired knowledge can be acquired. Note that the above is merely an example. In practice, the present invention is not limited to the above example.

[0046] [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 of the configuration of the terminal device 10 according to the embodiment. 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.

[0047] (Communications Department 11) The communication unit 11 is connected to the network N by wire or wirelessly, 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, etc.

[0048] (Display section 12) Display unit 12 is a display device that displays various information such as position information. For example, display unit 12 is a liquid crystal display (LCD) or an organic electro-luminescent display (OLED). Display unit 12 is also a touch panel display, but is not limited to this.

[0049] (Input section 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 characters, numbers, etc. The input unit 13 may be an input / output port (I / O port), a USB (Universal Serial Bus) port, etc. If the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13. The input unit 13 may be a microphone that accepts voice input from the user U. The microphone may be wireless.

[0050] (Positioning unit 14) The positioning unit 14 receives signals (radio waves) transmitted from satellites of a GPS (Global Positioning System), and acquires position information (e.g., latitude and longitude) indicating the current position of the terminal device 10, which is the device itself, based on the received signals. That is, the positioning unit 14 positions the position of the terminal device 10. Note that GPS is merely an example of a GNSS (Global Navigation Satellite System).

[0051] The positioning unit 14 can also measure the position using various methods other than GPS. For example, the positioning unit 14 may measure the position by using various communication functions of the terminal device 10 as an auxiliary positioning means for position correction, etc., as described below.

[0052] (Wi-Fi positioning) For example, the positioning unit 14 uses a Wi-Fi (registered trademark) communication function of the terminal device 10 or a communication network provided by each communication company to measure the position of the terminal device 10. Specifically, the positioning unit 14 performs Wi-Fi communication or the like and measures the distance to a nearby base station or access point, thereby measuring the position of the terminal device 10.

[0053] (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 by the Bluetooth (registered trademark) function.

[0054] (geomagnetic positioning) The positioning unit 14 also measures the position of the terminal device 10 based on a geomagnetic pattern of a structure that has been measured in advance and a geomagnetic sensor that the terminal device 10 has.

[0055] (RFID positioning) Furthermore, for example, if the terminal device 10 has a function of an RFID (Radio Frequency Identification) tag equivalent to a contactless IC card used at station ticket gates, in stores, etc., or has a function of reading an RFID tag, the location where the terminal device 10 was used is recorded together with information on the payment or the like 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.

[0056] The positioning unit 14 may measure the position of the terminal device 10 using one or a combination of the above-mentioned positioning means, as needed.

[0057] (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.

[0058] The above-described sensors 21 to 28 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 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28.

[0059] The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10, such as the direction of movement, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects physical movements 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.

[0060] Since the terminal device 10 includes the acceleration sensor 21, the gyro sensor 22, the atmospheric pressure sensor 23, etc., it is possible to measure the position of the terminal device 10 using a technique such as Pedestrian Dead-Reckoning (PDR) that uses these sensors 21 to 23. This makes it possible to obtain indoor position information that is difficult to obtain using a positioning system such as GPS.

[0061] For example, the number of steps, walking speed, and distance walked can be calculated using a pedometer that uses the acceleration sensor 21. In addition, the direction of travel, line of sight, and body tilt of the user U can be determined using the gyro sensor 22. In addition, the altitude and floor on which the terminal device 10 of the user U is located can be determined from the air pressure detected by the air pressure sensor 23.

[0062] The temperature sensor 24 detects, for example, the temperature around the terminal device 10. The sound sensor 25 detects, for example, the 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 an image around the terminal device 10.

[0063] The above-mentioned air pressure sensor 23, temperature sensor 24, sound sensor 25, light sensor 26, and image sensor 28 can detect the air pressure, temperature, sound, and illuminance, respectively, and capture images of the surroundings, thereby detecting the environment and situation around the terminal device 10. Furthermore, the accuracy of the location information of the terminal device 10 can be improved based on the environment and situation around the terminal device 10.

[0064] (control unit 30) The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit) or MPU (Micro Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), input / output ports, etc., 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.

[0065] (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.

[0066] (Receiving unit 32) The receiving unit 32 can receive various types of information provided by the server device 100 and requests for various types of information from the server device 100 via the communication unit 11.

[0067] (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 transmitting unit 31 and various information received from the server device 100 by the receiving unit 32 to the display unit 12 for display.

[0068] (Storage unit 40) The storage unit 40 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 (Hard Disk Drive), an SSD (Solid State Drive), an optical disk, etc. The storage unit 40 stores various programs, various data, etc.

[0069] [4. Server device configuration example] 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.

[0070] (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.

[0071] (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.

[0072] (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), a graphics processing unit (GPU), 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. 3 , the control unit 130 has an acquisition unit 131, an acquired knowledge estimation unit 132, a management unit 133, a time series display unit 134, an unacquired knowledge estimation unit 135, a search unit 136, and a proposal unit 137.

[0073] (Acquisition part 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, via the communication unit 110, the keywords input by the user U into the search box of a search engine, website, or app.

[0074] Furthermore, the acquisition unit 131 acquires user information about the user U via the communication unit 110. For example, the acquisition unit 131 acquires identification information (such as a user ID) indicating the user U, location information of the user U, attribute information of the user U, etc. from the terminal device 10 of the user U. Furthermore, the acquisition unit 131 may acquire the identification information indicating the user U, attribute information of the user U, etc. when the user U is registered. Then, the acquisition unit 131 stores the user information in the storage unit 120.

[0075] Furthermore, the acquisition unit 131 acquires various types of history information (log data) indicating the behavior of the user U via the communication unit 110. For example, the acquisition unit 131 acquires various types of history information indicating the behavior of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. Then, the acquisition unit 131 stores the various types of history information in the storage unit 120.

[0076] (Acquired knowledge estimation unit 132) The acquired knowledge estimation unit 132 estimates the knowledge that the user U has acquired from the content that the user U has used.

[0077] In addition, if the content is published in a reliable medium or the content data is provided by a reliable organization, the acquired knowledge estimation unit 132 estimates that knowledge that satisfies the conditions of objectivity and reliability has been acquired.

[0078] In addition, the acquired knowledge estimation unit 132 estimates that knowledge that meets the conditions of usefulness and applicability has been acquired if the content contributes to the progress of a specific field or if the content data is useful for an organization's strategy or decision-making.

[0079] In addition, if the content describes a research method and an interpretation of the research results, or if the content delves into the background and factors of a social situation, the acquired knowledge estimation unit 132 estimates that knowledge that meets the conditions of expertise and depth has been acquired.

[0080] In addition, if the content proposes a new discovery or theory or includes a new social trend or prediction, the acquired knowledge estimation unit 132 estimates that knowledge that meets the conditions of novelty and uniqueness has been acquired.

[0081] In addition, the acquired knowledge estimation unit 132 estimates that knowledge that satisfies the conditions of structuring and clarity has been acquired if the content clearly explains research results using diagrams or data, or clearly explains data or analysis using graphs or charts.

[0082] Furthermore, the acquired knowledge estimation unit 132 estimates that the knowledge related to a content category is sufficient if it has acquired knowledge in five categories: objectivity and reliability, usefulness and applicability, expertise and depth, novelty and originality, and structuring and clarity, for each content category.

[0083] (Management Department 133) The management unit 133 classifies the content by category and accumulates and stores the knowledge acquired by the user U and the links of the used content from which the knowledge was obtained. For example, the management unit 133 may create a data table in a database stored in the storage unit 120 that links the content category, the knowledge acquired by the user U, the corresponding item (any of the above five items), and the link of the used content from which the knowledge was obtained.

[0084] (Time series display section 134) The chronological display unit 134 chronologically displays the knowledge acquired by the user U and links to the used content from which the knowledge was obtained in the order in which the knowledge was acquired. For example, the chronological display unit 134 chronologically displays the knowledge acquired by the user U and links to the used content from which the knowledge was obtained on the terminal device 10 of the user U via the communication unit 110. At this time, the chronological display unit 134 may also display information about the content category and the item to which the knowledge belongs. Note that the chronological display unit 134 may be a display control unit that controls the screen display of the terminal device 10 of the user U via an API or the like.

[0085] (Unacquired knowledge estimation unit 135) The unacquired knowledge estimation unit 135 estimates knowledge that the user U has not yet acquired and that the user U should acquire in the future, based on the knowledge acquired by the user U. In practice, the unacquired knowledge estimation unit 135 may be included in the acquired knowledge estimation unit 132. For example, the unacquired knowledge estimation unit 135 may be part of the function of the acquired knowledge estimation unit 132. Here, for convenience, the acquired knowledge estimation unit 132 and the unacquired knowledge estimation unit 135 will be described separately.

[0086] Furthermore, if the user U has not acquired knowledge of any of the five items of objectivity and reliability, usefulness and applicability, expertise and depth, novelty and originality, and structuring and clarity for a certain content category, the unacquired knowledge estimation unit 135 estimates that the knowledge of that item is knowledge that the user U has not yet acquired and should acquire in the future.

[0087] (Search section 136) The search unit 136 searches for unused content from which the user U can acquire knowledge that he or she should acquire in the future. For example, the search unit 136 searches for unviewed content from which the knowledge that he or she should acquire in the future can be acquired via the communication unit 110 or in a content database stored in the storage unit 120, using the knowledge that he or she should acquire in the future as a search query. Note that the search unit 136 may query an AI such as GPT for unused content from which the user U can acquire knowledge that he or she should acquire in the future.

[0088] (Proposal Department 137) The suggestion unit 137 suggests to the user U the use of unused content and guides the user U to the unused content. For example, the suggestion unit 137 presents to the user U, via the communication unit 110, on the terminal device 10 of the user U, the knowledge acquired by the user U displayed in chronological order and links to the used content from which the knowledge was obtained, along with a sentence recommending the acquisition of estimated knowledge to be acquired in the future and links to unused content from which the knowledge can be acquired. Note that the suggestion unit 137 may use an AI such as GPT to suggest and guide the user U to useful content.

[0089] [5. Processing Procedure] Next, a processing procedure by the server device 100 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 130 of the server device 100.

[0090] 4, when a user U uses a content, the acquisition unit 131 of the server device 100 acquires the usage history of the content (step S101). Subsequently, the acquired knowledge estimation unit 132 of the server device 100 analyzes the content used by the user U (step S102).

[0091] Next, the acquired knowledge estimation unit 132 of the server device 100 determines whether the content corresponds to any one of the five items: objectivity and reliability, usefulness and applicability, expertise and depth, novelty and originality, and structure and clarity (step S103). If the content does not correspond to any of the five items (step S103; No), the acquired knowledge estimation unit 132 estimates that knowledge has not been acquired, and ends the process.

[0092] If the content corresponds to any of the five items (step S103; Yes), the acquired knowledge estimation unit 132 of the server device 100 estimates that the user U has acquired knowledge related to the corresponding item (step S104). Subsequently, the management unit 133 of the server device 100 classifies the content by category, associates the knowledge acquired by the user U with the link of the used content from which the knowledge was obtained, and stores the associated knowledge (step S105).

[0093] Next, the time series display unit 134 of the server device 100, in response to the operation of the user U or at a predetermined timing, causes the terminal device 10 of the user U to chronologically display the knowledge acquired by the user U and links to the used content from which the knowledge was obtained in the order in which the knowledge was acquired via the communication unit 110 (step S106).

[0094] Next, the acquired knowledge estimation unit 132 of the server device 100 determines whether the user U has acquired all five items of knowledge for the category of content used by the user U: objectivity and reliability, usefulness and applicability, expertise and depth, novelty and uniqueness, and structuring and clarity (step S107).

[0095] If the user U has acquired all of the five items of knowledge (step S107; Yes), the unacquired knowledge estimation unit 135 of the server device 100 estimates the knowledge to be acquired in the future for the other categories (step S108).

[0096] If the user U has not yet acquired all five items of knowledge (step S107; No), the unacquired knowledge estimation unit 135 of the server device 100 estimates the knowledge that the user U has not yet acquired as knowledge that the user U should acquire in the future (step S109).

[0097] Next, the search unit 136 of the server device 100 searches for unused content from which the user U can acquire knowledge that he or she should acquire in the future (step S110). Next, the suggestion unit 137 suggests to the user U that he or she use the unused content and guides him or her to the unused content (step S111). Note that when the user U uses unused content, the acquisition unit 131 of the server device 100 may acquire the usage history of the content (return to step S101).

[0098] [6. Modifications] The terminal device 10 and the server device 100 described above may be implemented in various different forms other than the above embodiment. Therefore, modifications of the embodiment will be described below.

[0099] In the above embodiment, some or all of the processing executed by the server device 100 may actually be executed by the terminal device 10 (or an application running on the terminal device 10). For example, the processing may be completed in a stand-alone manner (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 cooperates with the server device 100, and therefore, from the perspective of the user U, it appears that the processing of the server device 100 is also being executed 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.

[0100] Furthermore, in the above embodiment, the server device 100 may be configured to chronologically display only one link between knowledge and content for each of the five categories, "objectivity and reliability," "usefulness and applicability," "expertise and depth," "novelty and originality," and "structure and clarity." When the server device 100 acquires multiple pieces of knowledge for the same category, the server device 100 may be configured to chronologically display the oldest or latest of the acquired knowledge. Alternatively, the server device 100 may assign a score to the acquired knowledge for each category and chronologically display the acquired knowledge with the highest score.

[0101] Furthermore, in the above embodiment, the server device 100 may allow the user U to acquire knowledge regarding more items than just the five items of "objectivity and reliability," "usefulness and applicability," "expertise and depth," "novelty and uniqueness," and "structuring and clarity."

[0102] In addition, in the above embodiment, when the server device 100 displays a pair of estimated knowledge (acquired knowledge) and a link to the viewed content from which the knowledge originates in chronological order, the server device 100 may display them in a timeline.

[0103] [7. Effects] As described above, the information processing device (terminal device 10 and server device 100) according to the present application is characterized by comprising an acquired knowledge estimation unit 132 that estimates the knowledge acquired by user U from the content used by user U, a management unit 133 that accumulates and stores the knowledge acquired by user U and links to the used content from which the knowledge was obtained, and a time series display unit 134 that chronologically displays the knowledge acquired by user U and links to the used content from which the knowledge was obtained in the order in which the knowledge was acquired.

[0104] This allows user U to visually and systematically recognize what knowledge he or she has acquired and how he or she has acquired it up to now. Also, the user U can instantly reconfirm the content that is the source of the knowledge he or she has acquired.

[0105] In addition, the information processing device of the present application is characterized by further comprising an unacquired knowledge estimation unit 135 that estimates knowledge that user U has not yet acquired and should acquire in the future based on the knowledge that user U has acquired, a search unit 136 that searches for unused content from which user U can acquire knowledge that should be acquired in the future, and a suggestion unit 137 that suggests to user U the use of unused content and guides user U to the unused content.

[0106] This allows the user U to know what knowledge he or she lacks and what knowledge he or she should acquire in the future. Furthermore, the user U does not need to search for where to obtain that knowledge himself or herself, and can efficiently acquire the necessary knowledge.

[0107] If the content is published in a reliable medium or the content data is provided by a reliable organization, the acquired knowledge estimation unit 132 estimates that knowledge that satisfies the conditions of objectivity and reliability has been acquired.

[0108] This allows the user U to know that the information source has acquired reliable and trustworthy knowledge.

[0109] The acquired knowledge estimation unit 132 estimates that knowledge that satisfies the conditions of usefulness and applicability has been acquired if the content contributes to the progress of a particular field or if the content data is useful for an organization's strategy or decision-making.

[0110] This allows the user U to know that he or she has acquired knowledge that is academically or socially useful.

[0111] The acquired knowledge estimation unit 132 estimates that knowledge that meets the conditions of expertise and depth has been acquired if the content describes a research method and an interpretation of the research results or if the content delves into the background and factors of a social situation.

[0112] This allows the user U to know that he or she has acquired highly specialized knowledge.

[0113] If the content proposes a new discovery or theory or includes a new social trend or prediction, the acquired knowledge estimation unit 132 estimates that knowledge that meets the conditions of novelty and uniqueness has been acquired.

[0114] This allows the user U to know that he or she has acquired knowledge from a new perspective that he or she has never had before.

[0115] The acquired knowledge estimation unit 132 estimates that knowledge that meets the conditions of structuring and clarity has been acquired if the content clearly explains research results using diagrams or data, or clearly explains data or analysis using graphs or charts.

[0116] This allows the user U to know that he or she has acquired systematically organized knowledge.

[0117] The acquired knowledge estimation unit 132 estimates that the knowledge regarding the content category is sufficient when it has acquired knowledge regarding the five items of objectivity and reliability, usefulness and applicability, expertise and depth, novelty and originality, and structuring and clarity for each content category.

[0118] This allows the user U to know that he or she has sufficient knowledge about a certain category.

[0119] By performing any one or a combination of the above-described processes, the information processing device according to the present application can realize visualization of the history of knowledge acquisition through article browsing.

[0120] [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.

[0121] The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The arithmetic device 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

[0122] The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily 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), an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, or the like. The secondary storage device 1050 may be an internal storage device or an external storage device. 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), a NAS (Network Attached Storage), a file server, or the like.

[0123] 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, a projector, a 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), etc. The input I / F 1070 is an interface for receiving information from various input devices 1020, such as a mouse, a keyboard, a keypad, a button, a scanner, etc., and is realized by a USB, etc.

[0124] 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. That is, the output device 1010 and the input device 1020 may be wireless devices.

[0125] The output device 1010 and the input device 1020 may be integrated into one device, such as a touch panel. In this case, the output I / F 1060 and the input I / F 1070 may also be integrated into one device as an input / output I / F.

[0126] The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

[0127] The network I / F 1080 receives data from other devices via the network N and sends it to the arithmetic device 1030, and also transmits data generated by the arithmetic device 1030 to other devices via the network N.

[0128] 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.

[0129] For example, when the computer 1000 functions as the server device 100, the arithmetic unit 1030 of the computer 1000 executes a program loaded onto the primary storage device 1040 to realize the functions of the control unit 130. 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 the other device via the network I / F 1080 to call and use the functions and data of a program from another program of the other device.

[0130] [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.

[0131] 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 a known method. 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 in the drawings.

[0132] Furthermore, the components of each device shown in the figure are conceptual functional components and do not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

[0133] For example, the above-mentioned server device 100 may be realized by 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.

[0134] Furthermore, the above-described embodiments and modifications can be combined as appropriate within the scope of not causing any contradiction in the processing content.

[0135] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, an acquisition unit can be read as an acquisition means or an acquisition circuit. [Explanation of symbols]

[0136] 1. Information Processing Systems 10 Terminal Equipment 100 Server device 110 Communications Department 120 Storage section 130 Control Unit 131 Acquisition Department 132 Acquired knowledge estimation section 133 Management Department 134 Time series display section 135 Unacquired knowledge estimator 136 Search Department 137 Proposal Department

Claims

1. an acquired knowledge estimation unit that estimates knowledge acquired by a user from content used by the user; a management unit that accumulates and stores the knowledge acquired by the user and links to the used content from which the knowledge was acquired; a time series display unit that displays in chronological order the knowledge acquired by the user and links to the used contents from which the knowledge was acquired; An information processing device comprising:

2. an unacquired knowledge estimation unit that estimates knowledge that the user has not yet acquired and should acquire in the future, based on the knowledge acquired by the user; a search unit that searches for unused content from which the user can acquire knowledge that he or she should acquire in the future; a suggestion unit that suggests to the user the use of the unused content and guides the user to the unused content; The information processing apparatus according to claim 1 , further comprising:

3. The acquired knowledge estimation unit estimates that knowledge that satisfies the conditions of objectivity and reliability has been acquired if the content is published in a reliable medium or if the data of the content is provided by a reliable organization.