Content improvement system, method thereof, and program thereof

Abstract

To provide a content improvement method that generates indicators indicating the understanding and satisfaction levels of participants in events such as meetings and seminars and video viewings, and enables the improvement of the content of the events and videos. 【Solution means】 A first step of inputting data generated by acquiring an image of a person who participates in an event or views a video using a camera, a second step of generating index data of the understanding or satisfaction level of the person regarding the event or video based on the data input in the first step, and a third step of generating improvement plan data for improving the event or video based on the index data are executed by a computer.

Description

Technical Field

[0001] The present invention relates to a content improvement system, a method thereof, and a program thereof.

Background Art

[0002] Many seminars are held at venues, video distribution, etc. The content of such seminars is determined assuming the attributes of the participants in advance. In addition, a questionnaire is conducted on the participants after the seminar, and the content of the next seminar is improved based on the results.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, with the content of such seminars, there is a problem that the understanding and satisfaction of the participants cannot be sufficiently specified only by the questionnaire results, and sufficient information for improvement cannot be obtained. In addition, there is a demand to grasp the understanding and satisfaction of the participants in real time and change the content of seminars and the like. A similar demand also exists when distributing videos.

[0005] In view of the above-described problems of the prior art, the present invention is made, and an object thereof is to provide a content improvement method, a system, and a program thereof that can generate an index indicating the understanding and satisfaction of participants in events such as meetings and seminars and video viewing, and can improve the content of the event and the video.

Means for Solving the Problems

[0006] The present invention is a content improvement method executed by a computer, which includes a first step of inputting data generated by acquiring an image of a target person participating in an event or watching a video using a camera, a second step of generating index data of the degree of understanding or satisfaction of the target person regarding the event or the video based on the data input in the first step, and a third step of generating improvement plan data for improving the event or the video based on the index data.

[0007] Preferably, in the second step, for each of a plurality of timings of the event or the video, the index data is generated by associating the content of the event or the video related to the timing with the degree of understanding or satisfaction of the target person related to the timing.

[0008] Preferably, in the third step, based on the index data, the improvement plan data is generated, which indicates the content with the degree of understanding or satisfaction below a predetermined standard as an improvement candidate.

[0009] Preferably, in the third step, for a first timing that is at least a part of the plurality of timings, according to the degree of understanding or the satisfaction indicated by the index data associated with the first timing, the content to be used at a second timing after the first timing is determined, and the improvement plan data indicating the determined content is generated.

[0010] Preferably, in the third step, the content to be used is determined from a plurality of candidates, and the improvement plan data indicating the determined content is generated.

[0011] Preferably, based on the improvement plan data generated in the third step, the computer further executes a fourth step of distributing a video, which is the selected content, at the second timing.

[0012] Preferably, the computer further executes a fifth step of transmitting questionnaire data showing the questionnaire content to the subject after viewing the video and receiving questionnaire response data showing the responses to the questionnaire, and a sixth step of generating an individual video for the user by combining a plurality of videos based on the index data and the questionnaire response data.

[0013] Preferably, the computer further executes a seventh step of generating curriculum data showing the training curriculum of the subject or teaching materials for online learning based on the questionnaire response data.

[0014] Preferably, the content of the event is specified based on text data of the speech of the lecturer or participant of the event acquired by a microphone, or image data of the materials used by the lecturer during the event acquired by a camera.

[0015] Preferably, based on the index data generated for a plurality of the subjects participating in the event, when the ratio of the subjects whose understanding or satisfaction is below a certain standard exceeds a predetermined standard, improvement plan data indicating the same is generated.

[0016] Preferably, in the first step, the data further generated by acquiring the voice of the subject is input.

[0017] The present invention is a program for causing a computer to execute a first step of inputting data generated by acquiring an image of a subject participating in an event or a subject viewing a video with a camera, a second step of generating index data of the understanding or satisfaction of the subject with respect to the event or the video based on the data input in the first step, and a third step of generating improvement plan data for improving the event or the video based on the index data.

[0018] The present invention is a content improvement system having: a first means for inputting data generated by acquiring, with a camera, an image of a person participating in an event or a person viewing a video; a second means for generating index data of the degree of understanding or satisfaction of the person with respect to the event or the video based on the data input by the first means; and a third means for generating improvement plan data for improving the event or the video based on the index data.

Effects of the Invention

[0019] According to the present invention, it is possible to provide a content improvement method, system, and program that generate an index indicating the degree of understanding or satisfaction of participants in an event such as a meeting or seminar or video viewing, and improve the content of the event or video.

Brief Description of the Drawings

[0020]

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Modes for Carrying Out the Invention

[0021] Hereinafter, a content improvement system and method according to an embodiment of the present invention will be described. Further, in this embodiment, a content improvement system that supports improving seminars, videos, etc. based on the reactions of participants in meetings or seminars or viewers of videos will be described. Moreover, this can liven up in-house meetings, etc., and support improving communication, motivation, and engagement.

[0022] The content improvement system of this embodiment acquires an image of a person participating in a seminar or a person viewing a video with a camera, and inputs data generated by acquiring the speech of the person with a microphone. Then, based on the data, index data of the degree of understanding or satisfaction of the person regarding the seminar or the video is generated. Next, based on the generated index data, improvement plan data for improving the meeting, seminar, or the video is generated.

[0023] <First Embodiment> FIG. 1 is a diagram for explaining an event venue 9 to which an embodiment of the present invention is applied. As shown in FIG. 1, a microphone 21 and a camera 23 are provided in the seminar venue 9 of this embodiment. Further, the content improvement system 11 inputs audio data from the microphone 21 and video data from the camera 23.

[0024] FIG. 2 is a functional block diagram of the content improvement system 11 shown in FIG. 1. As shown in FIG. 2, the content improvement system 11 has, for example, a data input unit 31, an index generation unit 33, an improvement plan generation unit 35, an improvement unit 37, a questionnaire unit 39, and a training curriculum generation unit 41.

[0025] The data input unit 31 inputs audio data from the microphone 21 and video data from the camera 23. The data input unit 31 uses at least one of a microphone, a sensor, and a camera installed at the venue of an event such as a seminar to input voice data (laughter, applause, speech) and video data (expressions, gestures of the target person or lecturer, images of materials used by the lecturer, etc.) of the target person (participant) and the lecturer participating in the event.

[0026] Based on the data (voice data and video data) acquired by the data input unit 31, the index generation unit 33 generates index data indicating the degree of understanding or satisfaction of the target person regarding the seminar. For example, it analyzes the facial expressions of the target person, the content of questions, etc. to generate index data.

[0027] For each of a plurality of predetermined timings during the holding of the seminar, the index generation unit 33 generates index data associating the content of the seminar at that timing with the degree of understanding or satisfaction of the target person at that timing. Thereby, regarding which content of the seminar, the degree of understanding or satisfaction of the target person can be grasped from the index data.

[0028] Note that the degree of understanding or satisfaction of the target person is detected, for example, as follows. By video analysis, the actions (nods) and facial expression changes (joy, confusion, etc.) of the participants are detected to estimate the degree of understanding or satisfaction. At this time, a machine learning model is trained using a large amount of facial expression change data of the participants to learn patterns for detecting the degree of understanding or satisfaction. The index generation unit 33 integrates the voice (e.g., the content of questions from the target person) and video data of the venue to detect the degree of understanding or satisfaction of all seminar participants. Also, the degree of understanding or satisfaction may be grasped as an emotion.

[0029] For each of a plurality of predetermined timings of the seminar, the index generation unit 33 associates the content of the seminar associated with that timing with the degree of understanding or satisfaction of the target person associated with that timing and generates the index data. The index generation unit 33 may visualize the index generated based on the measurement information by using a communication environment measurement system based on the eNPS method.

[0030] The improvement plan generation unit 35 generates improvement plan data for improving the seminar based on the index data generated by the index generation unit 33. The said improvement data may be generated after the seminar ends, or may be fed back to the lecturer during the seminar.

[0031] The improvement plan generation unit 35 generates improvement plan data indicating, based on the index data, the content of the seminar with the understanding level or satisfaction level below a predetermined standard as improvement candidates. For example, among the content spoken by the lecturer in the seminar, for some content, for the content with the understanding level or satisfaction level of a certain proportion or more of the target persons below the predetermined standard, improvement plan data indicating the content and the value of the understanding level or satisfaction level is generated.

[0032] The improvement plan generation unit 35 generates improvement plan data for specifying the above content with the understanding level or satisfaction level below the predetermined standard based on the index data, and instructing to insert additional content for supplementing the content at the timing after the said content. Improvement plan data is generated so that the lecturer can grasp that it is necessary to talk about the additional content. That is, the improvement plan generation unit 35 generates the said improvement plan data for instructing to insert supplementary content for supplementing the content at the timing after the said content based on the understanding level or satisfaction level of a plurality of participants participating in the seminar for the content at each of the above timings.

[0033] The improvement plan generation unit 35 prepares a plurality of candidate contents in advance as the content at each timing, and generates improvement plan data indicating that the content to be used (spoken by the lecturer) in the seminar at the second timing after the first timing is selected from among the plurality of candidates according to the understanding level indicated by the index data at the first timing. The improvement plan generation unit 35 refers to past data and presents successful cases in similar scenarios.

[0034] When the ratio of the target persons whose understanding or satisfaction level is below a certain standard exceeds a predetermined standard based on the index data generated for a plurality of target persons participating in the seminar event, the improvement plan generation unit 35 may generate improvement plan data indicating the same.

[0035] In the present embodiment, the content of the seminar is text data of the speech of the lecturer or participants of the seminar acquired by a microphone, or image data of the lecturer used during the seminar acquired by a camera.

[0036] Based on the index data generated by the improvement plan generation unit 35, the improvement unit 37 improves the seminar content and the like. Specifically, a process for presenting an improvement plan is performed for the lecturer.

[0037] The questionnaire unit 39 transmits questionnaire data indicating the questionnaire content to the target person after the seminar or after watching the video, and receives questionnaire response data indicating the response to the questionnaire.

[0038] Based on the questionnaire response data, the training curriculum generation unit 41 generates training curriculum data indicating an individual training curriculum for the user or teaching materials for online learning. The training curriculum generation unit 41 analyzes the questionnaire response data by natural language analysis according to I to generate training curriculum data or teaching materials for online learning. In addition to the questionnaire response data, the training curriculum generation unit 41 may generate training curriculum data indicating an individual training curriculum for the user or teaching materials for online learning based on the index data of the target person.

[0039] Hereinafter, the processing of the content improvement system 11 according to the embodiment of the present invention will be described. FIG. 3 is a flowchart for explaining the processing of the content improvement system 11 according to the embodiment of the present invention. Each step will be described. Step ST11: In the seminar venue 9, during the event, the sound of the event is acquired by the microphone 21, and the seminar scene is photographed by the camera 23.

[0040] Step ST12: The data input unit 31 inputs audio data from the microphone 21 and video data from the camera 23.

[0041] Step ST13: As described above, the index generation unit 33 generates index data indicating the degree of understanding or satisfaction of the target person regarding the seminar based on the data (audio data and video data) acquired by the data input unit 31.

[0042] Step ST14: As described above, the improvement plan generation unit 35 generates improvement plan data for improving the seminar based on the index data generated by the index generation unit 33.

[0043] Step ST15: The improvement unit 37 improves the seminar content and the like based on the index data generated by the improvement plan generation unit 35. For example, the improvement unit 37 presents the improvement plan to the seminar instructor in real time during the seminar, and the seminar instructor conducts the seminar based on the improvement plan. As a result, for example, when there is a lack of understanding of the content already spoken by the instructor, the instructor can speak about the content in more detail again, or accept questions from the target person.

[0044] Step ST16: The questionnaire unit 39 transmits questionnaire data indicating the questionnaire content to the target person after the seminar or after watching the video, and receives questionnaire response data indicating the responses to the questionnaire.

[0045] Step ST17: The training curriculum generation unit 41 generates training curriculum data indicating an individual training curriculum for the user based on the questionnaire response data.

[0046] FIG. 4 is a configuration diagram of the content improvement system 11 shown in FIG. 1. As shown in FIG. 4, the content improvement system 11 includes, for example, a display 51, an operation unit / input unit 54, a communication unit 55, a memory 59, and a processing unit 61.

[0047] The display 51 displays an image based on a signal from the processing unit 61. The communication unit 55 communicates with other devices via a microphone 21, a camera 23, and a network. The operation unit / input unit 54 is an operation means such as a touch panel, a keyboard, or a mouse. The memory 59 stores programs executed by the processing unit 61. The processing unit 61 executes the program PRG stored in the memory 59 to perform the processing of the event atmosphere detection device 11 defined in the present embodiment.

[0048] As described above, according to the content improvement system 11, an index of the understanding or satisfaction degree of participants in a seminar venue 9 such as a seminar is generated, and an improvement plan is provided based on the index. Thereby, the seminar content can be evaluated, and the quality of the seminar can be improved based on the improvement plan.

[0049] Also, according to the content improvement system 11, by generating a training curriculum and / or teaching materials for online learning based on a questionnaire for the target person, a learning environment suitable for each target person can be provided.

[0050] Also, according to the content improvement system 11, when the event is an in-house meeting, it can enliven in-house meetings and support improving communication, motivation, and engagement.

[0051] When this embodiment is used for a meeting, the quantity and quality of communication can be improved. That is, based on the index data, it is also possible to measure the communication environment within the organization and improve the communication situation within the organization by incorporating laughter and the like. Julai was unable to visualize the lack of communication within the organization. However, according to this embodiment, it is possible to measure, visualize, and improve the communication environment through real seminars and online learning.

[0052] That is, according to this embodiment, it becomes possible to visualize the communication environment, provide a method for measuring the issues of the entire organization, conduct multi-faceted issue identification, establish a mechanism that enables issue identification from multi-faceted perspectives such as vertical relationships, between departments, and between generations, implement continuous improvement measures, provide continuous improvement measures that combine real seminars and e-learning, optimize using AI, and provide a system that analyzes measurement data to optimize the content of the next seminar, etc.

[0053] <Second Embodiment> In the above-described embodiment, the seminar held at seminar venue 9 was exemplified. In this embodiment, the case where the target person views videos such as seminars will be described. FIG. 5 is a diagram for explaining the video distribution server 106 of this embodiment. As shown in FIG. 5, the video distribution server 106 distributes videos (seminar videos, e-learning videos) to the target person terminal device 104 via the network 9.

[0054] The video distribution server 106 shown in FIG. 5 distributes videos to the target person terminal device 104. The video distribution server 106 is equipped with a content improvement system 111. As shown in FIG. 1, a microphone 21 and a camera 23 are provided in the seminar venue 9 of this embodiment. Also, the content improvement system 11 inputs audio data from the microphone 21 and video data from the camera 23.

[0055] FIG. 6 is a functional block diagram of the content improvement system 111 shown in FIG. 5. As shown in FIG. 6, the content improvement system 111 includes, for example, a data input unit 131, an index generation unit 133, an improvement plan generation unit 135, an improvement unit 137, a questionnaire unit 139, and a training curriculum generation unit 141.

[0056] The data input unit 131 inputs video data of the face of the subject from the camera of the subject terminal device 104 while the subject is watching the video.

[0057] Based on the video data input from the data input unit 131, the index generation unit 133 generates index data on the degree of understanding or satisfaction of the subject with respect to the distributed video. For each of a plurality of predetermined timings of the video, the index generation unit 133 associates the content of the video associated with the timing with the degree of understanding or satisfaction of the subject associated with the timing, and generates the index data.

[0058] Note that the degree of understanding or satisfaction of the subject is detected, for example, as follows. By video analysis, the actions (nods) and facial expression changes (joy, confusion, etc.) of the participants are detected, and the degree of understanding or satisfaction is estimated. At this time, a machine learning model is trained using a large amount of facial expression change data of the participants, and a pattern for detecting the degree of understanding or satisfaction is learned. The index generation unit 33 integrates the voice (for example, the content of the subject's question) and video data spoken by the subject toward the subject terminal device 104, and detects the degree of understanding or satisfaction of the subject. To detect the degree of understanding or satisfaction of the entire group of participants. Also, the degree of understanding or satisfaction may be regarded as an emotion.

[0059] For each of a plurality of timings of the video to be distributed, the improvement plan generation unit 135 associates the content of the video related to the timing with the degree of understanding or satisfaction of the subject related to the timing, and generates the index data. Based on the index data generated by the index generation unit 133, the improvement plan generation unit 135 generates improvement plan data indicating the content whose understanding or satisfaction level of the target person is below a predetermined standard as an improvement candidate.

[0060] For the first timing, which is at least a part of the plurality of timings of the video, the improvement plan generation unit 135 determines the content to be used at the second timing after the first timing according to the understanding or satisfaction level of the target person indicated by the index data associated with the first timing, and generates improvement plan data indicating the determined content.

[0061] The improvement plan generation unit 135 determines the content to be used from among a plurality of candidates and generates improvement plan data indicating the determined content.

[0062] For the first timing, which is at least a part of the plurality of timings of the video, the improvement plan generation unit 135 generates improvement plan data indicating that the content (video) to be used at the second timing after the first timing is selected from among a plurality of candidates (videos) according to the understanding or the satisfaction level indicated by the index data associated with the first timing.

[0063] Based on the improvement plan data generated by the improvement plan generation unit 135, the improvement unit 137 distributes the video, which is the content of the selected candidate, at the second timing.

[0064] Based on the index data generated by the improvement plan generation unit 35, the improvement unit 137 edits (improves) the video. Specifically, a process for presenting an improvement plan is performed for the instructor.

[0065] The questionnaire unit 139 transmits questionnaire data indicating the questionnaire content to the target person after the target person watches the video, and receives questionnaire response data indicating the responses to the questionnaire.

[0066] The training curriculum generation unit 141 generates training curriculum data or online learning materials indicating an individual training curriculum for the user based on the questionnaire response data. The training curriculum generation unit 41 analyzes the questionnaire response data by natural language analysis by I to generate training curriculum data or online learning materials. Note that the training curriculum generation unit 41 may generate training curriculum data or online learning materials indicating an individual training curriculum for the user based on the index data of the subject in addition to the questionnaire response data. In addition, the training curriculum generation unit 41 may generate an individual seminar video for the user by combining a plurality of videos based on the questionnaire response data.

[0067] Hereinafter, the processing of the video distribution server 106 according to the present embodiment will be described. FIG. 7 is a flowchart for explaining the processing of the content improvement system 11 according to the second embodiment of the present invention. Each step will be described. Step S21: The subject of the subject terminal device 104 views the video distributed by the video distribution server 106 shown in FIG. 5. The subject terminal device 104 captures an image of the subject's face with the attached camera and transmits the image data to the video distribution server 106.

[0068] Step ST22: The data input unit 131 of the content improvement system 111 inputs the image data from the subject terminal device 104. The subject's voice may be input.

[0069] Step ST23: As described above, the index generation unit 33 generates index data indicating the degree of understanding or satisfaction of the subject with respect to the video based on the data (voice data and video data) acquired by the data input unit 131.

[0070] Step ST24: As described above, the improvement plan generation unit 135 generates improvement plan data for improving the video based on the index data generated by the index generation unit 33.

[0071] Step ST25: The improvement unit 137 improves (modifies) the video content based on the index data generated by the improvement plan generation unit 135. For example, the improvement unit 37 presents the improvement plan in real time during video distribution, and distributes the video with the content determined by the improvement plan at a timing after the viewing timing. Thereby, when the target person does not understand the content of the already distributed video, a video that explains the content in detail again can be distributed.

[0072] Step ST26: The questionnaire unit 39 transmits questionnaire data indicating the questionnaire content to the target person after the target person views the video, and receives questionnaire response data indicating the response to the questionnaire. The content improvement system 111 may generate individual videos for the user by combining a plurality of videos based on the index data and the questionnaire response data.

[0073] Step ST27: The training curriculum generation unit 41 generates training curriculum data indicating an individual training curriculum for the user based on the questionnaire response data.

[0074] FIG. 8 is a configuration diagram of the video distribution server 106 shown in FIG. 5. As shown in FIG. 8, the video distribution server 106 includes, for example, a display 151, an operation unit / input unit 154, a communication unit 155, a memory 159, and a processing unit 161.

[0075] The display 151 displays an image based on a signal from the processing unit 161. The communication unit 155 communicates with the target person terminal device 104. The operation unit / input unit 154 is an operation means such as a touch panel, a keyboard, or a mouse. The memory 159 stores the programs executed by the processing unit 161. The processing unit 161 executes the program PRG stored in the memory 159 to perform the processing of the event atmosphere detection device 111 defined in the present embodiment. In addition, the processing unit 161 also performs video distribution processing.

[0076] As described above, according to the video distribution server 106, an index of the understanding or satisfaction of the person viewing the video is generated, and an improvement plan is provided based on the index. Thereby, the video content can be evaluated, and a video improved based on the improvement plan can be generated.

[0077] In addition, according to the video distribution server 106, by generating a training curriculum and / or teaching materials for online learning based on a questionnaire to the target person, a learning environment suitable for each target person can be provided.

[0078] The present invention is not limited to the above-described embodiments. That is, those skilled in the art may make various changes, combinations, sub-combinations, and substitutions with respect to the components of the above-described embodiments within the technical scope of the present invention or its equivalent scope. In the above-described embodiment, a meeting is exemplified as the event, but it may be a workplace communication place other than a meeting. In addition, as the event, the corporate culture or the like may be targeted, and the corporate culture may be measured based on the questionnaire answers of employees. In addition, a pre-measurement may be performed by questionnaire before the seminar, the seminar may be executed based on the results, and an e-learning plan may be made based on the questionnaire results after the seminar. In addition, the video may be, for example, an online event in which a plurality of participants communicate.

[0079] In addition, at least the index generation units 33, 133, the improvement plan generation units 35, 135, the improvement units 37, 137, the questionnaire units 39, 139, and the training curriculum generation units 41, 141 may use AI employing a learning model or the like.

Industrial Applicability

[0080] The present invention is applicable to a system for evaluating and improving events and videos.

Explanation of Signs

[0081] 9…Event venue 11,111…Content improvement system 21…Microphone 23…Camera 31,131…Data input 33,133…Index generation unit 35,135…Improvement plan generation unit 37,137…Improvement unit 39,139…Questionnaire unit 41,141…Training curriculum generation unit 106…Video distribution server

Claims

1. A first step of inputting data generated by acquiring an image of a person who participates in an event or views a video with a camera; A second step of generating index data indicating the degree of understanding or satisfaction of the person regarding the event or the video based on the data input in the first step; A third step of generating improvement plan data for improving the event or the video based on the index data; A content improvement method executed by a computer, In the second step, for each of a plurality of timings of the event or the video, the index data is generated by associating the content of the event or the video related to the timing with the degree of understanding or satisfaction of the person related to the timing, In the third step, based on the index data, improvement plan data is generated that indicates, as improvement candidates, the content with the degree of understanding or satisfaction below a predetermined standard, Regarding a first timing that is at least a part of the plurality of timings, According to the degree of understanding or satisfaction indicated by the index data associated with the first timing, content to be used is determined from among a plurality of candidates at a second timing after the first timing, and improvement plan data indicating the determined content is generated Content improvement method.

2. A fourth step of distributing, at the second timing, a video that is the selected content based on the improvement plan data generated in the third step The content improvement method according to claim 1, further executed by the computer.

3. A fifth step of transmitting questionnaire data indicating the content of the questionnaire to the person after viewing the video and receiving questionnaire response data indicating the response to the questionnaire; A sixth step of generating, based on the index data and the questionnaire response data, individual videos for a user by combining a plurality of videos The content improvement method according to claim 1, further executed by the computer.

4. A seventh step of generating curriculum data indicating the training curriculum of the person or teaching materials for online learning based on the questionnaire response data The content improvement method according to claim 3, further executed by the computer.

5. Identifying the content of the event based on the text data of the speech of the lecturer or participants of the event obtained by the microphone, or the image data of the materials used by the lecturer during the event obtained by the camera The content improvement method according to claim 1

6. Based on the index data generated for a plurality of the target persons participating in the event, when the proportion of the target persons whose understanding or satisfaction is below a certain standard exceeds a predetermined standard, generating improvement plan data indicating the same The content improvement method according to claim 5

7. The first step is Inputting the data generated by further obtaining the voice of the target person The content improvement method according to claim 1

8. A first step of inputting data generated by obtaining an image of a target person participating in an event or a target person viewing a video with a camera; A second step of generating index data of the understanding or satisfaction of the target person with respect to the event or the video based on the data input in the first step; A third step of generating improvement plan data for improving the event or the video based on the index data; A program for causing a computer to execute, In the second step, for each of a plurality of timings of the event or the video, associating the content of the event or the video related to the timing with the understanding or satisfaction of the target person related to the timing to generate the index data; In the third step, based on the index data, generating improvement plan data indicating the content with an understanding or satisfaction below a predetermined standard as an improvement candidate; For a first timing that is at least a part of the plurality of timings, according to the understanding or satisfaction indicated by the index data associated with the first timing, determining the content to be used from among a plurality of candidates at a second timing after the first timing, and generating the improvement plan data indicating the determined content A program for causing a computer to execute a process

9. A first means for inputting data generated by obtaining an image of a target person participating in an event or a target person viewing a video with a camera; A second means for generating index data of the understanding or satisfaction of the target person with respect to the event or the video based on the data input by the first means; A third means for generating improvement plan data for improving the event or the video based on the index data A content improvement system having For each of a plurality of timings of the event or the video, the second means generates the index data by associating the content of the event or the video related to the timing with the degree of understanding or satisfaction of the target person related to the timing Based on the index data, the third means generates the improvement plan data indicating the content with the degree of understanding or satisfaction below a predetermined standard as an improvement candidate. For a first timing which is at least a part of the plurality of timings According to the degree of understanding or the satisfaction indicated by the index data associated with the first timing, content to be used is determined from a plurality of candidates at a second timing after the first timing, and the improvement plan data indicating the determined content is generated Content improvement system

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