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

Abstract

The user can be qualitatively evaluated.SOLUTION: An information processing apparatus 10 includes an acquisition unit 12 that acquires viewing information on viewing of a learning video by a user, an evaluation unit 14 that evaluates a character image of the user from a situation related to the learning of the user based on the viewing information using a numerical value and a keyword, and a provision unit 16 that provides the user with a progress rate of the learning derived from the viewing information and provides the evaluated character image to another user who determines whether or not to adopt the user without providing the character image to the user.SELECTED DRAWING: Figure 3

Description

[Technical Field]

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

[0002] Conventionally, evaluation programs have been provided that are capable of objectively evaluating users' learning, including not only their academic ability but also other aspects related to learning (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-27458 Summary of the Invention [Problem to be solved by the invention]

[0004] The invention described in Patent Document 1 evaluates users by combining learning status information (specifically, learning density, number of repetitions, continuous learning time, and learning progress) with academic ability information (specifically, correct answer rate, incorrect answer selection rate, and IRT (Item Response Theory) score).

[0005] However, the user's evaluation is limited to a quantitative evaluation consisting of a numerical value and a final alphabetical evaluation, and there is room for improvement.

[0006] The present disclosure has been made in consideration of the above points, and aims to provide an information processing device that can qualitatively evaluate a user. [Means for solving the problem]

[0007] A first aspect of the present disclosure is an information processing device that includes an acquisition unit that acquires viewing information of a user watching a learning video, an evaluation unit that evaluates the user's personality using numerical values ​​and keywords based on the user's learning situation based on the viewing information, and a provision unit that provides the user with the learning progress rate derived from the viewing information, and provides the evaluated personality to other users who decide whether to accept or reject the user, without providing it to the user.

[0008] A second aspect of the present disclosure is the information processing device of the first aspect, wherein the evaluation unit further evaluates a character image of the user based on information different from the viewing information.

[0009] A third aspect of the present disclosure is the information processing device of the first aspect, wherein the provision unit sets whether or not to display to at least one of the user and the other user for each provision item including the progress rate and the person image.

[0010] A fourth aspect of the present disclosure is an information processing device of any one of the first to third aspects, wherein the providing unit further sets whether or not to display to at least one of the user and the other users, for each type of keyword of the evaluated character image.

[0011] A fifth aspect of the present disclosure is an information processing device of any one of the first to fourth aspects, wherein the information processing device further includes an instruction unit that instructs the user on the learning advice depending on the evaluation result of the person image by the evaluation unit.

[0012] A sixth aspect of the present disclosure is an information processing device of the fifth aspect, wherein the instruction unit instructs the user using learning advice data linked to the keywords of the person image stored in a predetermined database.

[0013] A seventh aspect of the present disclosure is an information processing device of the fifth aspect, wherein the instruction unit connects to a generation AI, inputs the user's learning situation and character image into the generation AI, and uses the output data to give instructions to the user.

[0014] An eighth aspect of the present disclosure is an information processing method in which a computer executes a process to acquire viewing information of a user watching a learning video, evaluate the user's personality using numerical values ​​and keywords based on the user's learning situation based on the viewing information, provide the user with the learning progress rate derived from the viewing information, and provide the evaluated personality to another user who decides whether to accept or reject the user, without providing it to the user.

[0015] A ninth aspect of the present disclosure is an information processing program that causes a computer to execute a process of acquiring viewing information of a user watching a learning video, evaluating the user's personality using numerical values ​​and keywords based on the user's learning situation based on the viewing information, providing the user with the learning progress rate derived from the viewing information, and providing the evaluated personality to another user who will decide whether to accept or reject the user, without providing it to the user. [Effects of the Invention]

[0016] The disclosed technology allows for qualitative evaluation of users. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a block diagram showing the overall configuration of an information processing device 10 and peripheral devices. [Figure 2] 1 is a block diagram showing a hardware configuration of an information processing device 10. FIG. [Figure 3] 1 is a block diagram showing a functional configuration of an information processing device 10 according to a first embodiment. [Figure 4] 10 is a table showing the status of a user's learning based on viewing information. [Figure 5]FIG. 10 is an image diagram of a screen provided on the person in charge terminal 30. [Figure 6] 10 is a table showing an example of keywords and corresponding keyword types; [Figure 7] 10 is a flowchart showing an evaluation providing process. [Figure 8] 10 is a flowchart showing a provision process 1. [Figure 9] 10 is a flowchart showing a providing process 2. [Figure 10] FIG. 10 is a block diagram showing the functional configuration of an information processing device 10 according to a second embodiment. [Figure 11] 10 is a table showing an example of advice data corresponding to keywords; [Figure 12] 10 is a flowchart showing an evaluation instruction process. [Figure 13] 10 is a flowchart showing instruction processing 1. [Figure 14] 10 is a flowchart showing instruction processing 2. DETAILED DESCRIPTION OF THE INVENTION

[0018] An example of an embodiment of the disclosed technology will be described below with reference to the drawings. Note that the same or equivalent components and parts in each drawing are given the same reference numerals. Also, the dimensional proportions in the drawings are exaggerated for the convenience of explanation and may differ from the actual proportions.

[0019] (First embodiment) The information processing device 10 according to the first embodiment acquires viewing information of a user viewing a learning video and evaluates the user's character using numerical values ​​and keywords based on the user's learning status based on the viewing information. The information processing device 10 also provides the user with a learning progress rate derived from the viewing information, and executes a process of providing the evaluated character to other users who decide whether to accept or reject the user without providing it to the user. First, the configurations of the information processing device 10 and peripheral devices will be described.

[0020] 1 is a diagram showing the overall configuration of an information processing device 10 according to this embodiment, a user terminal 20 of a user who watches a learning video, and a terminal of another user (hereinafter referred to as a "person in charge terminal") 30 that determines whether or not to accept the user. The relationship between the information processing device 10, the user terminal 20, and the person in charge terminal 30 will be described below with reference to FIG. 1. Note that the number of each device is not limited to the example in FIG. 1.

[0021] The information processing device 10 is a computer such as a server, and is capable of communicating with a user terminal 20 and a person in charge terminal 30 via a communication line N.

[0022] The user terminal 20 is a notebook computer, a smartphone, a tablet terminal, or the like, and is capable of communicating with the information processing device 10 via a communication line N. Here, the term "user" refers to a user who watches educational videos, such as an employee of a company. The user terminal 20 is an electronic device that plays educational videos.

[0023] The person in charge terminal 30 is a laptop computer, a smartphone, a tablet terminal, or the like, and is capable of communicating with the information processing device 10 via a communication line N. Here, the person in charge using the person in charge terminal 30 is another user who makes the decision on whether to hire or not and evaluates the user, such as a human resources officer at another company or a superior within the company. Hereinafter, other users who are different from the user will be referred to as "person in charge." The person in charge terminal 30 is an electronic device that displays the profile of the user evaluated by the information processing device 10.

[0024] Fig. 2 is a block diagram showing the hardware configuration of the information processing device 10 of this embodiment. As shown in Fig. 2, the information processing device 10 includes a CPU (Central Processing Unit) 51, a ROM (Read Only Memory) 52, a RAM (Random Access Memory) 53, a storage 54, an input / output I / F (Interface) 55, a communication I / F 56, and a storage medium reader 57. Each component is connected to each other via a bus 58 so as to be able to communicate with each other.

[0025] The CPU 51 is a central processing unit that executes various programs and controls each component. That is, the CPU 51 reads programs from the ROM 52 and executes the programs using the RAM 53 as a work area. The CPU 51 controls each component and performs various arithmetic processing in accordance with the programs stored in the ROM 52.

[0026] The storage device configured by the ROM 52 stores various programs including an operating system and various data. The ROM 52 stores processing programs for executing a rating providing process and a rating instruction process, which will be described later.

[0027] The memory configured by the RAM 53 temporarily stores programs and data as a working area.

[0028] The storage 54 is configured by a hard disk drive (HDD), a solid state drive (SSD), etc., and stores various data.

[0029] The input / output I / F 55 is an interface for communicating with input devices and monitors external to the information processing device 10. The input devices include pointing devices such as a mouse and a keyboard, and are used to input various types of information. The monitor is, for example, a liquid crystal display, and is a device for outputting various types of information. The monitor may employ a touch panel system and function as an input device. The monitor may also include a speaker or the like as an audio output means.

[0030] The communication I / F 56 is an interface for communicating with other devices, such as a notebook computer, external to the information processing device 10. For this communication, for example, a wired communication standard such as Ethernet (registered trademark) or FDDI, or a wireless communication standard such as 4G, 5G, or Wi-Fi (registered trademark) is used.

[0031] Next, the functional configuration of the information processing device 10 according to this embodiment will be described with reference to Fig. 3. As shown in Fig. 3, the information processing device 10 according to this embodiment includes an acquisition unit 12, an evaluation unit 14, and a provision unit 16. The CPU 51 executes a processing program stored in the ROM 52, thereby functioning as the acquisition unit 12, the evaluation unit 14, and the provision unit 16.

[0032] The acquisition unit 12 acquires viewing information about the learning videos that the user has viewed. Learning videos are, for example, videos that teach practical business skills. The viewing information includes user information, video category, video subject, viewing start date and time, viewing end date and time, viewing time, continuous viewing time, progress rate, number of continuous viewing days, number of days since the last viewing, viewing speed, and number of viewing repetitions. Note that the video subject refers to the theme of each video within the video category. Figure 4 is a table showing the user's learning status based on the viewing information. When a user views a learning video, each piece of data related to the viewing information, such as that shown in the table in Figure 4, is stored in the storage 54 of the information processing device 10. The acquisition unit 12 acquires the viewing information from the storage 54.

[0033] The evaluation unit 14 evaluates the user's character using numerical values ​​and keywords from the user's learning situation based on the viewing information. Specifically, an example of the evaluation of the user's character by the evaluation unit 14 will be described with reference to FIG.

[0034] For example, if the number of consecutive viewing days on which a user has watched a video exceeds a threshold of three days, the evaluation unit 14 can evaluate the user's personality using the keyword "serious." In the case of the viewing information of user A in FIG. 4, the number of consecutive viewing days is five days from May 7 to 11, 2024, which exceeds the threshold of three days. Therefore, the evaluation unit 14 evaluates the user A's personality using the keyword "serious."

[0035] Furthermore, for example, if the viewing speed at which the user watched the video exceeds a threshold of 1.5x speed, the evaluation unit 14 can evaluate the user's profile using the keyword "fast processing." In the case of the viewing information of user A in FIG. 4, the viewing speed was 2x speed from May 9 to May 11, 2024, exceeding the threshold of 1.5x speed. Therefore, the evaluation unit 14 evaluates the user A's profile using the keyword "fast processing." In this way, the evaluation unit 14 may evaluate one user using multiple keywords based on the user's viewing information.

[0036] Furthermore, for example, if the number of days since the user last viewed a video exceeds a threshold of five days, the evaluation unit 14 can evaluate the user's personality using the keyword "unserious." In the case of user B's viewing information in FIG. 4, the current viewing was on May 21, 2024, but the previous viewing was on May 5, meaning that 16 days have passed since the previous viewing, exceeding the threshold of five days. Therefore, the evaluation unit 14 evaluates user B's personality using the keyword "unserious."

[0037] Furthermore, for example, if the continuous viewing time that a user has watched a video exceeds a threshold of two hours, the evaluation unit 14 can evaluate the user's personality using the keyword "perseverant." In the case of the viewing information of user B in FIG. 4, the user watched videos continuously for three hours from 13:00 to 16:00 on May 5, 2024, exceeding the threshold of two hours. Therefore, the evaluation unit 14 evaluates user B's personality using the keyword "perseverant."

[0038] Furthermore, for example, if the number of times a user has repeatedly viewed a video exceeds a threshold of 2, the evaluation unit 14 can evaluate the user's personality using the keyword "polite." In the case of the viewing information of user C in FIG. 4, the number of times the user has repeatedly viewed a video is 3 on May 10, 2024, which exceeds the threshold of 2. Therefore, the evaluation unit 14 evaluates the user C's personality using the keyword "polite."

[0039] Furthermore, for example, if the number of video topics watched by a user on the same day exceeds two thresholds, the evaluation unit 14 can evaluate the user's personality using the keyword "high motivation to learn." In the case of user D's viewing information in FIG. 4, on the same day, May 3, 2024, the video topics were three types: "expense settlement and management," "accounting entry," and "accounts receivable management," which exceed the two thresholds. Therefore, the evaluation unit 14 evaluates user D's personality using the keyword "high motivation to learn."

[0040] Furthermore, for example, if the number of video categories in which a user watched videos on the same day exceeds one threshold, the evaluation unit 14 can evaluate the user's personality using the keyword "challenging spirit." In the case of user E's viewing information in FIG. 4, on the same day, May 3, 2024, the video categories were "sorting processing and slip management" and "legal compliance and risk management," which exceeded one threshold. Therefore, the evaluation unit 14 evaluates user E's personality using the keyword "challenging spirit." Note that the video category may refer to, for example, the user's area of ​​expertise in their work, and since user E watched learning videos outside of their own area of ​​expertise, they are evaluated as described above. Note that in this example, each user has one area of ​​expertise.

[0041] Furthermore, the evaluation unit 14 may further evaluate the user's personality based on information other than the viewing information. For example, the evaluation unit 14 may further evaluate the user's personality based on the results of a questionnaire entered by the user. Here, the results of the questionnaire entered by the user are an example of "information other than the viewing information."

[0042] As described above, the evaluation unit 14 evaluates each user using keywords. In addition, the evaluation unit 14 may evaluate each user numerically on a five-point scale based on the viewing information. For example, the evaluation unit 14 evaluates the overall rating as a numerical value of 5 when all items in the viewing information of videos viewed by the user exceed a threshold. Furthermore, the evaluation unit 14 evaluates the overall rating as a numerical value of 4 when only one item out of all items in the viewing information of videos viewed by the user is equal to or less than the threshold. In the case of the viewing information of user A in FIG. 4, the number of consecutive viewing days and viewing speed of user A exceed the threshold, while the number of repeated viewings does not exceed the threshold, so the overall rating of user A is evaluated as 4.

[0043] The providing unit 16 provides the learning progress rate derived from the viewing information to the user, and also provides the evaluated personality profile to the person in charge of deciding whether to accept the user without providing it to the user. Specifically, the providing unit 16 provides the learning progress rate to the user terminal 20 of user A who is watching the learning video, for example, by displaying the progress rate near the playback screen of the learning video so that the user can check it. In addition, the providing unit 16 provides keywords for user A's personality profile to the person in charge terminal 30 of the person in charge. Specifically, as shown in FIG. 5, the providing unit 16 provides the keywords for user A's personality profile by displaying them on the screen 300 of the person in charge terminal 30.

[0044] Furthermore, the providing unit 16 sets, for each provision item including the progress rate and the portrait, whether or not to display to at least one of the user and the person in charge. Specifically, the user designates in advance to whom the provision item is to be displayed. The providing unit 16 sets for each provision item based on information designated by the user. For example, the providing unit 16 sets the progress rate to be displayed to user A, the portrait to be displayed to the person in charge, and the overall evaluation to be displayed to the person in charge.

[0045] The providing unit 16 further sets whether or not to display the keywords of the evaluated character image to at least one of the user and the person in charge, for each type of keyword of the evaluated character image. Specifically, the user specifies in advance, by keyword type, to whom the keywords of the character image can be displayed. The providing unit 16 sets each keyword type based on information specified by the user. The keyword type indicates, for example, whether the keyword is positive or negative. For example, if the keyword is positive, the providing unit 16 sets the keywords of the character image to be displayed to user A. For example, if the keyword is negative, the providing unit 16 sets the keywords of the character image not to be displayed to user A. The providing unit 16 sets the keywords of the character image to be displayed to the person in charge, regardless of the keyword type. Note that FIG. 6 is an example table showing keywords and corresponding keyword types. As shown in FIG. 6, each keyword is assigned a type. Note that, in the example of FIG. 6, positive and negative types are represented by P and N, respectively.

[0046] Next, the operation of the information processing device 10 according to this embodiment will be described. Fig. 7 is a flowchart showing the flow of the evaluation providing process executed in the information processing device 10. Each process in the information processing device 10 is executed by the CPU 51 functioning as the acquisition unit 12, evaluation unit 14, and providing unit 16. The evaluation providing process is an example of an information processing method of the present invention.

[0047] In step S101 of FIG. 7, the CPU 51 acquires viewing information indicating that the user has viewed the learning video.

[0048] In step S103, the CPU 51 evaluates the user's character using numerical values ​​and keywords from the user's learning situation based on the viewing information.

[0049] In step S105, the CPU 51 executes a providing process. There are two patterns of the providing process: providing process 1 in Fig. 8 and providing process 2 in Fig. 9. The case where providing process 1 is executed will be described below.

[0050] 8, the CPU 51 sets a display user for each provision item. Specifically, the CPU 51 sets the progress rate to be displayed on the user terminal 20, and sets the keywords of the user's personality to be displayed on the person-in-charge terminal 30.

[0051] In step S203, the CPU 51 determines whether or not there are any provision items that are set to be displayed to the user. If the CPU 51 determines that there are any provision items that are set to be displayed to the user (step S203: YES), the process proceeds to step S205. On the other hand, if the CPU 51 determines that there are no provision items that are set to be displayed to the user (step S203: NO), the process proceeds to step S207.

[0052] In step S205, the CPU 51 provides the provided items to be displayed to the user terminal 20.

[0053] In step S207, the CPU 51 determines whether or not there are any provision items that are set to be displayed to the person in charge. If the CPU 51 determines that there are any provision items that are set to be displayed to the person in charge (step S207: YES), the process proceeds to step S209. On the other hand, if the CPU 51 determines that there are no provision items that are set to be displayed to the person in charge (step S207: NO), the process in FIG. 8 is terminated, and the process returns to the flowchart in FIG. 7, where the evaluation provision process in FIG. 7 is terminated.

[0054] In step S209, the CPU 51 provides the provision items to be displayed to the person in charge terminal 30. Then, the process of Fig. 8 ends, and the process returns to the flowchart of Fig. 7, where the evaluation provision process of Fig. 7 ends.

[0055] On the other hand, when the providing process 2 is executed, in step S301 of FIG. 9, the CPU 51 sets a display user for each type of keyword of a person image.

[0056] In step S303, the CPU 51 determines whether or not there is a positive keyword among the multiple person image keywords. If the CPU 51 determines that there is a positive person image keyword (step S303: YES), the process proceeds to step S305. On the other hand, if the CPU 51 determines that there is no positive person image keyword (step S303: NO), the process proceeds to step S307.

[0057] In step S305, the CPU 51 provides the user terminal 20 with only keywords for which the keywords of the person image are positive.

[0058] In step S307, the CPU 51 provides the person's image keywords to the person in charge terminal 30. Note that the person's image keywords are provided to the person in charge terminal 30 regardless of whether the person's image keywords are positive or not. Then, the process of Fig. 9 ends, and the process returns to the flowchart of Fig. 7, where the evaluation providing process of Fig. 7 ends.

[0059] As described above, the information processing device 10 according to this embodiment includes an acquisition unit 12 that acquires viewing information of a user viewing a learning video, an evaluation unit 14 that evaluates the user's personality using numerical values ​​and keywords based on the user's learning status based on the viewing information, and a provision unit 16 that provides the user with a learning progress rate derived from the viewing information and also provides the evaluated personality to a person who will decide whether to accept or reject the user without providing it to the user. Thus, the information processing device 10 allows for qualitative evaluation of the user.

[0060] (Second embodiment) In the second embodiment, a process will be described in which, in the information processing device 10, study advice is given to the user according to the evaluation result of the portrait by the evaluation unit 14. Note that parts having the same configuration as in the first embodiment will be assigned the same reference numerals and descriptions thereof will be omitted.

[0061] 10 is a functional block diagram illustrating the functional configuration of the information processing device 10 according to this embodiment. As shown in Fig. 10, the information processing device 10 according to this embodiment includes an acquisition unit 12, an evaluation unit 14, a provision unit 16, and an instruction unit 18. The CPU 51 executes a processing program stored in the ROM 52, thereby functioning as the acquisition unit 12, the evaluation unit 14, the provision unit 16, and the instruction unit 18.

[0062] The instruction unit 18 gives instructions to the user using learning advice data associated with keywords of person images stored in a predetermined database (see the correspondence table in FIG. 11). Note that the database may be built in the storage 54 of the information processing device 10, or may be built in an external server or the like and connected via a communication line.

[0063] Specifically, for example, if the keyword for the character profile is "unserious," the instruction unit 18 instructs the user using the corresponding advice data (in the example of FIG. 11, "The quickest way to learn something is to keep doing it every day").

[0064] Furthermore, the instruction unit 18 may use not only a correspondence table between preset keywords and advice data (see FIG. 11), but also a generation AI (Artificial Intelligence). An example of the generation AI is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search<URL: https: / / gemini.google.com> ) etc.

[0065] Specifically, the instruction unit 18 connects to the generation AI, inputs the user's learning situation and personality into the generation AI, and uses the output data to instruct the user. More specifically, the instruction unit 18 connects to the generation AI, inputs a prompt including the user's learning situation, personality, and instructions, causes the generation AI to make inferences according to the prompt, and uses the inference results output by the generation AI in data formats such as text data and audio data to instruct the user. For example, if the instruction unit 18 inputs a prompt including User A's learning situation, personality, and instructions into the generation AI, the generation AI responds, "You watch educational videos every day without fail and are evaluated as being diligent. Persistence is key, so please keep watching at this rate. Also, watching the same video repeatedly will improve your retention, so please try it." The instruction unit 18 transmits the response to the user terminal 20.

[0066] Next, the operation of the information processing device 10 according to this embodiment will be described. Fig. 12 is a flowchart showing the flow of evaluation instruction processing executed in the information processing device 10. Each process in the information processing device 10 is executed by the CPU 51 functioning as the acquisition unit 12, evaluation unit 14, provision unit 16, and instruction unit 18. Note that steps S401 to S405 in Fig. 12 are the same as steps S101 to S105 of the evaluation provision processing in Fig. 7, and therefore description thereof will be omitted.

[0067] In step S407 of Fig. 12, the CPU 51 executes the instruction process. There are two patterns of instruction process: instruction process 1 of Fig. 13 and instruction process 2 of Fig. 14. The case where instruction process 1 is executed will be described below.

[0068] When the instruction process 1 is executed, in step S501 of FIG. 13, the CPU 51 acquires keywords for situations and people related to learning.

[0069] In step S503, the CPU 51 connects to the database. The database may be built in the storage 54 of the information processing device 10, or may be built in an external server or the like.

[0070] In step S505, the CPU 51 acquires advice data linked to keywords of the person image.

[0071] In step S507, the CPU 51 instructs the user to give advice, and then ends the processing of Fig. 13, and returns to the flowchart of Fig. 12, where the evaluation instruction processing of Fig. 12 ends.

[0072] On the other hand, when the instruction process 2 is executed, in step S601 of FIG. 14, the CPU 51 acquires keywords for situations and people related to learning.

[0073] In step S603, the CPU 51 connects to the generated AI.

[0074] In step S605, the CPU 51 inputs the situation related to the learning and the keywords of the character image to the generation AI.

[0075] In step S607, the CPU 51 acquires the data inferred by the generation AI.

[0076] In step S609, the CPU 51 instructs the user to give advice, and then ends the processing of Fig. 14, and returns to the flowchart of Fig. 12, where the evaluation instruction processing of Fig. 12 ends.

[0077] As described above, the information processing device 10 according to this embodiment is configured to further include an instruction unit 18 that instructs the user on study advice in accordance with the evaluation result of the portrait by the evaluation unit 14. Therefore, the information processing device 10 can instruct the user on study advice.

[0078] (remarks) In the above embodiments, the evaluation providing process and evaluation instruction process executed by the CPU by reading software (programs) may be executed by various processors other than the CPU. Examples of such processors include programmable logic devices (PLDs) (such as field-programmable gate arrays (FPGAs)) whose circuit configuration can be changed after fabrication, and application-specific integrated circuits (ASICs) that are dedicated electrical circuits that are processors with circuit configurations specifically designed to execute specific processes. The evaluation providing process and evaluation instruction process may be executed by one of these various processors, or by a combination of two or more processors of the same or different types (e.g., multiple FPGAs, or a combination of a CPU and an FPGA). The hardware structure of these various processors is, more specifically, an electrical circuit that combines circuit elements such as semiconductor devices.

[0079] In addition, in each of the above embodiments, the processing program is described as being pre-stored (installed) in the ROM 52 or the storage 54, but this is not limiting. The program may be provided in a form stored in a non-transitory storage medium such as a CD-ROM (Compact Disk Read Only Memory), a DVD-ROM (Digital Versatile Disk Read Only Memory), or a USB (Universal Serial Bus) memory. The program may also be downloaded from an external device via a network. [Explanation of symbols]

[0080] 10. Information processing equipment 12 Acquisition Department 14 Evaluation Section 16 Providing Department 18 Instruction section 20 User terminal 30 Personnel terminal 51 CPU 52 ROM 53 RAM 54 Storage 55 Input / Output Interface 56 Communication I / F 57 Storage media reader 58 Bus 300 screens

Claims

1. An acquisition unit that acquires viewing information of a user viewing a learning video; an evaluation unit that evaluates a character profile of the user using numerical values ​​and keywords based on the viewing information and the user's learning situation; a providing unit that provides the user with the progress rate of the learning derived from the viewing information, and provides the evaluated character image to another user who determines whether to accept the user, without providing the evaluated character image to the user; An information processing device comprising:

2. The evaluation unit further evaluates the user's personality based on information different from the viewing information. The information processing device according to claim 1 .

3. the providing unit sets whether to display the progress rate and the portrait to at least one of the user and the other user for each of the provision items including the progress rate and the portrait. The information processing device according to claim 1 .

4. the providing unit further sets whether or not to display the evaluated character image to at least one of the user and the other user for each type of keyword of the evaluated character image. The information processing device according to claim 3 .

5. the information processing device further includes an instruction unit that instructs the user on the study advice in accordance with a result of the evaluation of the person image by the evaluation unit. The information processing device according to claim 4 .

6. the instruction unit instructs the user using learning advice data associated with the keyword of the person image stored in a predetermined database. The information processing device according to claim 5 .

7. The instruction unit is connected to a generation AI, inputs the user's learning situation and the person image into the generation AI, and instructs the user using the output data. The information processing device according to claim 5 .

8. Obtain viewing information about the learning video that the user has viewed, Evaluating the user's character using numerical values ​​and keywords based on the user's learning situation based on the viewing information; providing the user with the progress rate of the learning derived from the viewing information, and providing the evaluated personality image to another user who will decide whether to accept or reject the user, without providing the evaluated personality image to the user; An information processing method in which processing is performed by a computer.

9. Obtain viewing information about the learning video that the user has viewed, Evaluating the user's character using numerical values ​​and keywords based on the user's learning situation based on the viewing information; providing the user with the progress rate of the learning derived from the viewing information, and providing the evaluated personality image to another user who will decide whether to accept or reject the user, without providing the evaluated personality image to the user; An information processing program that causes a computer to execute a process.

Images