Educational material providing device, in-vehicle device, educational material providing method, and educational material providing program

Abstract

To provide a teaching material provision device, an in-vehicle device, a method for manufacturing a teaching material, and a teaching material provision program that can provide a teaching material picture with a high teaching effect.SOLUTION: The teaching material provision device according to an embodiment has a control unit. The control unit acquires result information about the test result of a teaching target person of a test by which the nature of the education target person can be assumed, and provides the teaching target person with a picture taken by an in-vehicle device in accordance with the nature of the teaching target person obtained from the acquired result information as a teaching material picture for the teaching target person.SELECTED DRAWING: Figure 1B

Description

[Technical Field]

[0001] The present invention relates to a teaching material providing device, an in-vehicle device, a teaching material providing method, and a teaching material providing program. [Background technology]

[0002] BACKGROUND ART Various techniques have been proposed in the past for using video images of vehicle driving captured by a camera as teaching materials for safe driving education (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2015-219497 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the conventional technology, the educational video generated by the administrator is uniformly provided to all the students, which may reduce the educational effectiveness of the educational video depending on the student. In other words, the conventional technology has room for improvement in terms of providing educational video with high educational effectiveness.

[0005] The present invention has been made in consideration of the above, and aims to provide a teaching material providing device, an in-vehicle device, a teaching material providing method, and a teaching material providing program that can provide teaching material images with high educational effectiveness. [Means for solving the problem]

[0006] In order to solve the above problems and achieve the object, the present invention provides a teaching material providing device having a control unit that acquires result information indicating a test result of the training recipient in a test capable of estimating the training recipient's characteristics, and provides, as a teaching material video to the training recipient, a video captured by an in-vehicle device that corresponds to the training recipient's characteristics obtained from the acquired result information. [Effects of the Invention]

[0007] According to the present invention, it is possible to provide educational video with high educational effectiveness. [Brief explanation of the drawings]

[0008] [Figure 1A] FIG. 1A is a diagram showing an overview of a learning material providing system including a learning material providing device according to a first embodiment. [Figure 1B] FIG. 1B is a diagram showing an overview of a learning material providing system including a learning material providing device according to the first embodiment. [Figure 2] FIG. 2 is a block diagram showing an example of the configuration of the teaching material providing system according to the first embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of the video DB. [Figure 4] FIG. 4 is a diagram showing an example of the teaching material DB. [Figure 5] FIG. 5 is a diagram illustrating an example of the driver DB. [Figure 6] FIG. 6 is a diagram illustrating an example of the correlation DB. [Figure 7] FIG. 7 is a diagram showing the display of a terminal device to which educational video is provided. [Figure 8] FIG. 8 is a flowchart showing a processing procedure executed by the learning material providing device according to the first embodiment. [Figure 9] FIG. 9 is a diagram illustrating an example of a driver DB according to the second embodiment. [Figure 10] FIG. 10 is a diagram illustrating an example of the correlation DB according to the second embodiment. [Figure 11]FIG. 11 is a flowchart showing a processing procedure executed by the learning material providing device according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments of a teaching material providing device, an in-vehicle device, a teaching material providing method, and a teaching material providing program disclosed in the present application will be described in detail with reference to the accompanying drawings. Note that the present invention is not limited to the following embodiments.

[0010] (First embodiment) <Outline of the teaching material provision system> First, an overview of a teaching material providing system including a teaching material providing device according to a first embodiment will be described with reference to Figures 1A and 1B. Figures 1A and 1B are diagrams showing an overview of a teaching material providing system including a teaching material providing device according to the first embodiment.

[0011] The educational material providing system 1 according to the first embodiment is a system that generates and provides educational material videos related to traffic safety using driving videos collected from vehicles, for example. The educational material providing system 1 can collect driving videos from a plurality of vehicles, including transportation vehicles in the transportation industry and commercial vehicles, and generate and provide educational material videos for in-house traffic safety education.

[0012] 1A, the educational material providing system 1 according to this embodiment includes an educational material providing device 10, in-vehicle devices 100-1, 100-2... mounted on vehicles V-1, V-2..., respectively, and a terminal device 200 (see FIG. 1B). In the following description, when the vehicles V-1, V-2 and the in-vehicle devices 100-1, 100-2 are not particularly distinguished from each other, they will be referred to as "vehicle V" and "in-vehicle device 100," respectively.

[0013] The learning material providing device 10 is a server that executes various processes such as a process of providing learning material videos, etc. For example, the learning material providing device 10 is configured as a cloud server that provides cloud services via a network such as the Internet or a mobile phone network.

[0014] The in-vehicle device 100 is a device that includes various sensors, such as a camera sensor, an acceleration sensor, and a GPS (Global Positioning System) sensor, a storage device, a microcomputer, etc. The in-vehicle device 100 has a communication function for communicating via a network. Note that the in-vehicle device 100 may be, for example, a drive recorder.

[0015] The camera sensor described above can capture, for example, images of the surroundings of the vehicle V and output video data. Note that video data is an example of video data. Video data is not limited to video data and may include still image data, etc. Furthermore, the acceleration sensor detects the acceleration acting on the vehicle V, and the GPS sensor detects the position of the vehicle V.

[0016] The terminal device 200 (see FIG. 1B) is a device used by the driver A, who is the training recipient. The terminal device 200 has a communication function for communicating via a network. The terminal device 200 may be, for example, a notebook PC (Personal Computer), a desktop PC, a smartphone, a tablet terminal, or the like, but is not limited to these. Driver A is an example of a training recipient.

[0017] Incidentally, for example, as part of in-house training at a company or the like, there is an effort to provide education on traffic safety by using dangerous driving videos captured by the in-vehicle device 100 (drive recorder) as educational videos. The dangerous videos include, for example, videos of near misses and videos of traffic accidents.

[0018] Note that near-miss footage is footage of an event that may be a precursor to a traffic accident, for example. For example, near-miss footage may be footage of a situation where the vehicle in front suddenly stops while the vehicle is traveling with insufficient distance between the vehicle in front and the host vehicle, causing the host vehicle to suddenly approach the vehicle in front, or footage of a situation where the vehicle enters an intersection at an excessively high speed and the distance between the vehicle in front and another vehicle (such as an oncoming vehicle or a vehicle in front) becomes extremely short.

[0019] The traffic accident video is, for example, a video of a traffic accident occurring. For example, the traffic accident video may be a video of a situation where the vehicle in front suddenly stops while the vehicle is traveling with insufficient distance between the vehicle in front and the host vehicle, causing the host vehicle to collide with the vehicle in front, or a video of a situation where the host vehicle enters an intersection at an excessive speed and collide with another vehicle.

[0020] However, if the above-mentioned dangerous video were provided as a training video to multiple trainees (drivers), the educational effectiveness of the video could be reduced depending on the trainee (driver). For example, suppose Driver A tends to maintain a sufficient distance from the vehicle ahead, and is provided with the above-mentioned training video (dangerous video) of an incident that occurred while driving with an insufficient distance from the vehicle ahead. In this case, the trainee (driver) rarely encounters situations where he or she does not maintain a sufficient distance from the vehicle ahead, resulting in a lot of wasted training. Furthermore, if a driver (trainee) tends to maintain a sufficient distance from the vehicle ahead, Driver A may perceive the above-mentioned training video (dangerous video) of an incident that occurred while driving with an insufficient distance from the vehicle ahead as something that does not concern him or her because it is different from his or her usual driving style, resulting in a reduced educational effectiveness of the video for Driver A. Conversely, for example, if Driver A tends to frequently enter intersections at excessive speeds, Driver A will perceive the footage of the incident (dangerous footage) that occurred when entering an intersection at excessive speeds as something that could happen to him, and as a result, the educational effect of the educational video for Driver A will be high.

[0021] On the other hand, other drivers different from Driver A may have a driving tendency that makes them prone to keeping an insufficient distance from the vehicle ahead, for example. In such cases, the educational video (dangerous video) of an incident that occurred while driving with an insufficient distance from the vehicle ahead will be highly educational for the other drivers. As such, there are individual differences in vehicle driving tendencies, and these differences in driving tendencies are largely due to the characteristics of the driver, such as their personality.

[0022] Therefore, the educational material providing device 10 according to this embodiment is configured to be able to provide educational material videos with high educational effectiveness that are suited to the characteristics of the driver to be trained.

[0023] 1A and 1B, the specific processing in the learning material providing device 10 will be described. Note that the learning material providing device 10 performs processing to generate learning material videos in addition to processing to provide learning material videos. In this example, it is assumed that a driver A to be trained drives a vehicle V-1.

[0024] As shown in FIG. 1A, the learning material providing device 10 first collects video captured by an in-vehicle device 100 such as a drive recorder mounted on a vehicle V (step S1). For example, the learning material providing device 10 collects video (video data) from a plurality of in-vehicle devices 100-1, 100-2, ... Here, the learning material providing device 10 collects dangerous video captured by the in-vehicle device 100, but the invention is not limited to this, and the learning material providing device 10 may also collect video other than dangerous video.

[0025] Next, the learning material providing device 10 analyzes each of the collected videos and assigns a tag (tag information) to each piece of video data based on the analysis results (step S2). Here, the tag is information corresponding to the content of the video and indicates the characteristics of the video content. Note that, since the learning material providing device 10 collects dangerous videos, the processing of step S2 can also be said to be processing of analyzing the collected dangerous videos and assigning tags corresponding to the content of the dangerous videos obtained as a result of the analysis.

[0026] Examples of tags include situation information tags, near miss tags, and traffic accident tags. Situation information tags are tags for situation information that indicate the driving situation (situation), and examples of tags include phrases such as "insufficient distance from the vehicle ahead," "speeding," "sudden braking," "sudden acceleration," "abrupt steering," and "running a red light." Situation information tags may also include tags that indicate the driving situation, such as the date and time of driving, the location, and the weather (for example, sunny, rainy, snowy, etc.). Near miss tags are tags that indicate the content of events that may be precursors to traffic accidents (so-called near misses), and examples of tags include phrases such as "rapidly approaching a vehicle ahead," "rapidly approaching another vehicle at an intersection," and "rapidly approaching a pedestrian at an intersection." Traffic accident tags are tags that indicate the content of traffic accidents, and examples of tags include phrases such as "contact with a vehicle ahead," "contact with another vehicle at an intersection," and "contact with a pedestrian at an intersection." Note that, although specific examples of tag content have been given above, these are merely examples and are not limiting. Furthermore, the tags do not need to include all of the situation information tags, near miss tags, and traffic accident tags described above, but may include some of them, or may include tags other than those described above.

[0027] Next, the learning material providing device 10 generates a learning material video using the tagged video data (step S3). For example, the learning material providing device 10 generates the learning material video by combining the tagged video data with question information including a question statement and options corresponding to the question statement.

[0028] The question is a question about the corresponding video, in other words, a sentence that asks the trainee what they can read from the video (here, dangerous video) in traffic safety education. The options are multiple options, each with at least one correct answer, and are selected by the trainee.

[0029] For example, the learning material providing device 10 can generate question information based on tags attached to video data. As an example, if the situation information tag of the video data is "insufficient distance between the vehicle and the vehicle ahead" and the near-miss tag is "rapid approach to the vehicle ahead," the learning material providing device 10 generates a question sentence including the content of the tag (here, the near-miss tag), such as "What is the cause of the 'rapid approach to the vehicle ahead' in the video?" The learning material providing device 10 also generates options consisting of a correct answer including the content of the tag (here, the situation information tag), such as "The cause is 'insufficient distance between the vehicle ahead'," and an arbitrarily set incorrect answer. The learning material providing device 10 then combines the generated question sentence and options with the video as question information to generate a learning material video. The learning material providing device 10 registers the generated learning material video in a learning material DB (database) 12b (see FIG. 2).

[0030] In this way, the learning material providing device 10 according to this embodiment generates learning material videos in advance. Note that, although the learning material providing device 10 generates the question information in the above description, the present invention is not limited to this, and the question information may be generated by, for example, an input operation by an administrator of the learning material providing device 10.

[0031] In this embodiment, a test is administered to the training subject (here, driver A) on the terminal device 200 (step S4). This test is a test that can estimate the characteristics of driver A. Here, a test is used that can estimate, for example, psychological characteristics (in other words, psychological characteristics) such as the personality of driver A as the characteristics of driver A. Therefore, the above-mentioned test can also be said to be a so-called psychological test (or personality diagnostic test) for estimating psychological characteristics.

[0032] The test data may be transmitted from the learning material providing device 10 to the terminal device 200, or may be transmitted from an external server (not shown) to the terminal device 200. The device on which the test is administered is not limited to the terminal device 200, but may be set to any terminal device.

[0033] When driver A has finished answering the above test and the test is completed, the teaching material providing device 10 acquires result information indicating the test result of driver A (step S5).

[0034] Next, the learning material providing device 10 selects, as learning material video for driver A, a video that is captured by the in-vehicle device 100 and that corresponds to the characteristics of the driver obtained from the acquired result information (step S6).

[0035] Here, the driver characteristics obtained from the result information are, as described above, the psychological characteristics of driver A, such as "impatient," "easily panicked," "easily angered," "relaxed," etc. Although the psychological characteristics are specifically shown above, these are merely examples and are not limiting.

[0036] Furthermore, there is a correlation between psychological characteristics such as personality and driving tendencies related to vehicle driving. For example, if the psychological characteristic is "impatient," there is a tendency to hurry, and therefore the driving tendency is "prone to speeding." As another example, if the psychological characteristic is "prone to panic," there is a tendency to operate the vehicle abruptly, and therefore the driving tendency is "prone to sudden braking, sudden acceleration, and sudden steering."

[0037] The educational material providing device 10 uses correlation information that indicates the correlation between such psychological characteristics and driving tendencies to estimate driving tendencies that correlate with the driver's characteristics, and selects video that corresponds to the estimated driving tendencies as educational material video.

[0038] As an example, if the driving tendency estimated from the characteristics of driver A is "a tendency to exceed the speed limit," the educational material providing device 10 selects educational material videos that have been tagged with a "speeding" tag (situation information tag) from educational material videos registered in educational material DB 12b (see FIG. 2). Furthermore, the educational material providing device 10 may select educational material videos that have been tagged with a tag (near miss tag or traffic accident tag) corresponding to a near miss or traffic accident caused by "speeding" from educational material videos in educational material DB 12b (see FIG. 2) (for example, educational material videos that have been tagged with "rapid approach to vehicle ahead" or "collision with vehicle ahead"). Note that if educational material DB 12b contains videos captured by driver A's in-vehicle device 100-1, such videos are selected as educational material videos, as will be described later.

[0039] Next, the learning material providing device 10 provides the selected learning material video to the driver A (step S7). That is, the learning material providing device 10 provides the learning material video that is suited to the characteristics of the driver A (more specifically, the learning material video that is suited to the driving tendency estimated from the psychological characteristics of the driver A) to the driver A, more precisely, to the terminal device 200 of the driver A.

[0040] Then, when an input operation to start traffic safety education is performed on the terminal device 200 to which the educational video has been provided, the educational video is displayed on the display 201, and traffic safety education is provided to driver A by having driver A answer the above-mentioned question information, etc.

[0041] In this way, the educational material providing device 10 according to this embodiment provides, as educational material video, video of the in-vehicle device 100 that is suited to the characteristics of the driver A who is the training target. As a result, in this embodiment, educational material video with high educational effectiveness suited to the driver A who is the training target can be provided. In other words, by being provided with educational material video that is suited to the driver A's own characteristics (for example, psychological characteristics), the driver A is more likely to experience the content of the educational material video happening to him / her, and as a result, the educational effectiveness of the educational material video for the driver A can be improved.

[0042] Specifically, the educational material providing device 10 according to this embodiment uses the characteristics (e.g., psychological characteristics) of each driver, and can provide a relatively large number of educational material videos relating to situations in which driver A is likely to fall into or things that he or she is not careful about. This makes it possible to effectively educate driver A about dangers that he or she should be particularly careful about.

[0043] In the above description, the educational material providing device 10 provides educational material videos to the terminal device 200, but the present invention is not limited to this. That is, if the in-vehicle device 100 (in-vehicle device 100-1) has a display, the educational material providing device 10 may provide educational material videos to the in-vehicle device 100 (in-vehicle device 100-1). This makes it possible to provide traffic safety education to the driver A in the vehicle V-1 before (or after) driving, for example.

[0044] <Overall configuration of the teaching material provision system> Fig. 2 is a block diagram showing an example of the configuration of the educational material providing system 1 according to the first embodiment. Note that Fig. 2 shows only the components necessary to explain the features of the embodiment, and omits descriptions of general components.

[0045] In other words, the components shown in Figure 2 are conceptual functional components and do not necessarily have to be physically configured as shown. For example, the specific form of distribution and integration of each block 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.

[0046] In addition, in the description using FIG. 2, the description of components that have already been described may be simplified or omitted.

[0047] As shown in Fig. 2, the teaching material providing system 1 according to the embodiment includes a teaching material providing device 10, an in-vehicle device 100, and a terminal device 200. For the sake of simplicity, Fig. 2 shows one in-vehicle device 100 and one terminal device 200, but there may be a plurality of in-vehicle devices 100 and a plurality of terminal devices 200.

[0048] <Configuration of in-vehicle device> The in-vehicle device 100 includes a communication unit 101, various sensors 102, a display 103, a storage unit 104, and a control unit 105. The control unit 105 is an example of an in-vehicle device control unit.

[0049] The communication unit 101 is a communication interface that is connected to the communication network N so as to enable two-way communication, and transmits and receives information between the learning material providing device 10 and the terminal device 200, etc.

[0050] As described above, the various sensors 102 include, for example, a camera sensor, an acceleration sensor, a GPS sensor, etc. The camera sensor outputs captured video data to the control unit 105. The acceleration sensor outputs a signal indicating the acceleration acting on the vehicle V, and the GPS sensor outputs a signal indicating the position of the vehicle V to the control unit 105. Note that the various sensors 102 are not limited to the camera sensor and acceleration sensor described above, and may include other types of sensors, such as a microphone sensor, in addition to or instead of the camera sensor, etc.

[0051] The display 103 displays images captured by a camera sensor, etc. Furthermore, when a teaching material image is provided from the teaching material providing device 10 as described above, the display 103 displays the provided teaching material image.

[0052] The storage unit 104 is a storage unit configured with a storage device such as a non-volatile memory, a data flash, or a hard disk drive. The storage unit 104 stores video data 104a captured by a camera sensor, various programs, and the like. Note that the video data 104a may or may not include dangerous video.

[0053] The control unit 105 includes an acquisition unit 105a, a processing unit 105b, and an output unit 105c, and includes, for example, a computer having a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), input / output ports, etc., and various circuits.

[0054] The CPU of the computer functions as the acquisition unit 105a, the processing unit 105b, and the output unit 105c of the control unit 105, for example, by reading and executing a program stored in the ROM.

[0055] Furthermore, at least some or all of the acquisition unit 105a, processing unit 105b, and output unit 105c of the control unit 105 can be configured with hardware such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0056] The acquisition unit 105a of the control unit 105 acquires outputs from the various sensors 102. For example, the acquisition unit 105a acquires video data captured by a camera sensor and registers the video data 104a in the storage unit 104. The acquisition unit 105a acquires a signal indicating the acceleration acting on the vehicle from an acceleration sensor and outputs the signal to the processing unit 105b. The acquisition unit 105a acquires a signal indicating the vehicle's position from a GPS sensor and outputs the signal to the processing unit 105b.

[0057] When the processing unit 105b detects, for example, sudden braking, sudden acceleration, sudden steering (abrupt maneuvering) of the vehicle, or an impact due to a collision accident from the output of the acceleration sensor, the processing unit 105b stores information indicating the detected content in the memory unit 104, linking it to the video data captured at the time of detection as event information.

[0058] The processing unit 105b associates, for example, vehicle position information with video data based on the output of the GPS sensor and stores the associated information in the storage unit 104. Furthermore, when the processing unit 105b detects excessive vehicle speed based on the output of the GPS sensor, the processing unit 105b associates information indicating the detected speed (here, excessive speed) with the video data captured at the time of the detection as event information and stores the associated information in the storage unit 104. Specifically, the processing unit 105b calculates the travel distance of the vehicle in a predetermined travel time based on the vehicle position information output from the GPS sensor, and calculates the vehicle speed by dividing the calculated travel distance by the predetermined travel time. The processing unit 105b then compares the calculated vehicle speed with the speed limit included in map information for the location (place) where the vehicle is traveling, and detects excessive speeding if the vehicle speed exceeds the speed limit. The map information may be information previously stored in the storage unit 104 or may be information acquired from an external server (not shown). Furthermore, the processing unit 105b may perform a process of prohibiting overwriting of video data for a predetermined period of time before and after the detection of sudden braking, speeding, or the like.

[0059] For example, when a signal (vehicle signal) from a sensor mounted on the vehicle, such as a brake sensor, is input to the in-vehicle device 100, the processing unit 105b may detect sudden braking of the vehicle, etc., based on the vehicle signal. In more detail, the vehicle signal may be, for example, an output from a brake sensor, an accelerator sensor, a steering angle sensor, a vehicle speed sensor, etc., and the processing unit 105b may detect sudden braking, sudden acceleration, abrupt steering, speeding, etc., of the vehicle based on the vehicle signal.

[0060] The output unit 105c transmits the captured video (video data) to the learning material providing device 10 via the communication unit 101. For example, the output unit 105c may transmit video data to which event information such as sudden braking is linked to the learning material providing device 10. That is, video data to which event information such as sudden braking or speeding is linked is presumed to be data of dangerous video, including near-miss video and traffic accident video. Therefore, when the output unit 105c transmits video data to which event information is linked, the learning material providing device 10 can collect dangerous video. Note that the timing of transmitting the video data may be, for example, the timing when the event information is linked to the video data, the timing when a request to transmit the video data is received from the learning material providing device 10, or may be set to any timing.

[0061] Furthermore, when a teaching material video is provided (transmitted) from the teaching material providing device 10, the output unit 105c receives the teaching material video via the communication unit 101. Then, the output unit 105c outputs and displays the received teaching material video on the display 103 to provide it to the driver. As described above, this allows traffic safety education to be provided inside the vehicle V.

[0062] <Configuration of the teaching material providing device> Next, a description will be given of the configuration of the learning material providing device 10. As shown in FIG.

[0063] The communication unit 11 is a communication interface that is connected to the communication network N so as to enable two-way communication, and transmits and receives information between the in-vehicle device 100 and the terminal device 200, etc.

[0064] The storage unit 12 is configured with a storage device such as a nonvolatile memory, a data flash, a hard disk drive, etc. The storage unit 12 includes an image DB 12a, a learning material DB 12b, a driver DB 12c, and a correlation DB 12d.

[0065] The video DB 12a stores information related to videos. Here, the video DB 12a will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the video DB 12a.

[0066] 3, the video DB 12a includes items such as "video ID," "driver ID," "video," "date and time," "location," and "event," and data for each item is associated with the "video ID." In other words, corresponding data such as "video" and "date and time" is stored in a data record identified by the "video ID."

[0067] "Video ID" is identification information that identifies video data. "Driver ID" is identification information that identifies a driver. For example, "Driver ID" includes information about the driver of the vehicle V that is equipped with the in-vehicle device 100 that captured the corresponding video data.

[0068] "Video" is data of video captured by the in-vehicle device 100. In the example shown in FIG. 3, for convenience, "video" is abstractly described as "C1," but "C1" stores specific information. Hereinafter, other information may also be abstractly described.

[0069] "Date and time" is information indicating the date and time when the corresponding video was captured. "Location" is information indicating the location (place) where the corresponding video was captured.

[0070] "Event" is information related to an event that occurred in the corresponding video, and more specifically, is event information related to an event (phenomenon) that occurred while the video was being captured. As described above, the event information is event information linked to the video data by the in-vehicle device 100. Therefore, information indicating, for example, sudden braking, sudden acceleration, abrupt steering, a collision, speeding, etc. is registered in "Event."

[0071] In the example shown in Figure 3, the video data identified by video ID "A01" is video data captured while a driver identified by driver ID "B01" was driving, and indicates that the video is "C1," the date and time is "D1," the location is "E1," and the event is "F1."

[0072] Returning to the explanation of Fig. 2, the teaching material DB 12b stores information related to teaching material videos. Here, the teaching material DB 12b will be explained using Fig. 4. Fig. 4 is a diagram showing an example of the teaching material DB 12b.

[0073] 4, the educational material DB 12b includes items such as "educational material ID," "video ID," "driver ID," "situation information tag," "near miss tag," "traffic accident tag," and "problem information," and data for each item is associated with a "educational material ID." In other words, corresponding data such as "situation information tag" and "near miss tag" is stored in a data record identified by a "educational material ID."

[0074] The "teaching material ID" is identification information that identifies the teaching material video. The "video ID" is identification information that identifies video data, more specifically, identification information that identifies video data set as the teaching material video. In this way, by registering the "video ID" in the teaching material DB 12b, the teaching material video identified by the "teaching material ID" is linked (associated) with the video data in the video DB 12a by the "video ID."

[0075] The "driver ID" is identification information for identifying a driver, and more specifically, is identification information for the driver of the vehicle V (more precisely, the in-vehicle device 100) that captured the video data set as the educational video. In this way, by registering the "driver ID" in the educational video DB 12b, the educational video identified by the "educational video ID" is linked (associated) with the driver data in the video DB 12a and the driver DB 12c by the "driver ID."

[0076] The "situation information tag" is information related to the situation information tag described above, and more specifically, information related to the tag of the driving situation when the video set as the educational video was captured (the tag of the situation information). For example, tags such as "insufficient distance from the vehicle ahead," "excessive speed," "sudden braking," "sudden acceleration," "abrupt steering," and "running a red light" are registered in the "situation information tag." The number of tags registered in the "situation information tag" may be one or more.

[0077] "Near miss tag" is information related to the near miss tag described above, and more specifically, information related to the tag of a near miss that occurred while driving when the video set as the educational video was captured. For example, tags such as "rapidly approaching a vehicle ahead," "rapidly approaching another vehicle at an intersection," and "rapidly approaching a pedestrian at an intersection" are registered in the "Near miss tag." The number of tags registered in the "Near miss tag" may be one or more.

[0078] "Traffic accident tag" is information related to the traffic accident tag described above, and more specifically, information related to the tag of a traffic accident that occurred while driving and resulted in the video set as the educational video. For example, tags such as "contact with a vehicle ahead," "contact with another vehicle at an intersection," and "contact with a pedestrian at an intersection" are registered in the "traffic accident tag." The number of tags registered in the "traffic accident tag" may be one or more. Furthermore, since a near miss is an event that may be a precursor to a traffic accident, either a "near miss tag" or a "traffic accident tag" will be registered in one educational video, but this is not limited to this.

[0079] Using these "near miss tags" and "traffic accident tags," the educational videos in the video DB 12a are classified according to the degree of danger involved in driving a vehicle. In other words, because near misses are events that are precursors to traffic accidents, the degree of danger involved in driving a vehicle is lower than the degree of danger involved in traffic accidents. Conversely, the degree of danger involved in traffic accidents is higher than the degree of danger involved in near misses. Therefore, by assigning "near miss tags" and "traffic accident tags" to educational videos, it can be said that the educational videos are classified according to the degree of danger involved in driving a vehicle.

[0080] "Question information" is information about questions provided to the training target (driver), and more specifically, information about questions that are combined with the video set as the educational video. "Question information" includes information indicating the question statement and information indicating the options corresponding to the question statement.

[0081] In the example shown in Figure 4, the educational video data identified by educational video ID "J01" is video data identified by video ID "A01" that has been set as educational video, and indicates that this educational video is video captured while the driver identified by driver ID "B01" was driving. Also, the educational video data identified by educational video ID "J01" indicates that the situation information tag is "K1", the near-miss tag is "L1", and the problem information is "N1".

[0082] In addition, the educational material video data identified by the educational material ID "J02" has a corresponding video ID of "A02", a corresponding driver ID of "B02", a situation information tag of "K2", a traffic accident tag of "M2", and problem information of "N2".

[0083] Returning to the explanation of Fig. 2, the driver DB 12c stores information about the driver. Here, the driver DB 12c will be explained using Fig. 5. Fig. 5 is a diagram showing an example of the driver DB 12c.

[0084] 5, the driver DB 12c includes items such as "driver ID," "result information," "psychological characteristics," and "driving tendencies," and data for each item is associated with the "driver ID." In other words, corresponding data such as "result information" and "psychological characteristics" is stored in a data record identified by the "driver ID."

[0085] "Driver ID" is identification information for identifying a driver, more specifically, identification information for the driver who is the subject of training. "Result information" is result information indicating the test results of the corresponding driver. Specifically, "Result information" includes result information of a test that can estimate the driver's characteristics, and more specifically, result information of a psychological test that can estimate the driver's psychological characteristics as the driver's characteristics.

[0086] "Psychological characteristics" is information indicating the characteristics of the driver obtained from the corresponding result information, and more precisely, information indicating the psychological characteristics of the driver. Information indicating the personality of the driver, such as "impatient," "easily panicked," "easily angered," and "relaxed," is registered in "psychological characteristics," but these are examples and are not limited to these. The number of pieces of information registered in "psychological characteristics" may be one or more.

[0087] "Driving tendency" is information that indicates a driver's driving tendency regarding vehicle driving. Such "driving tendency" is information that indicates a driving tendency that is correlated with the characteristics (more precisely, psychological characteristics) of the corresponding driver. For example, information indicating driving tendency such as "tends to exceed the speed limit," "tends to keep a short distance from the vehicle ahead," "tends to brake suddenly," "tends to accelerate suddenly," "tends to steer sharply," and "tends to ignore traffic lights" is registered in "driving tendency," but these are examples and are not limited to these. The number of pieces of information registered in "driving tendency" may be one or more.

[0088] In the example shown in FIG. 5, the data of the driver identified by the driver ID "B01" indicates that the result information is "P1", the psychological characteristic is "Q1", and the driving tendency is "R1".

[0089] Returning to the explanation of Fig. 2, the correlation DB 12d stores correlation information relating to the correlation between the driver's characteristics (to be precise, psychological characteristics) and the driver's driving tendencies. Here, the correlation DB 12d will be explained using Fig. 6. Fig. 6 is a diagram showing an example of the correlation DB 12d.

[0090] 6, the correlation DB 12d includes items such as "correlation ID," "psychological characteristics," "driving tendency," and "presence or absence of correlation," and data for each item is associated with the "correlation ID." In other words, corresponding data such as "psychological characteristics" and "driving tendency" is stored in a data record identified by a "correlation ID."

[0091] "Correlation ID" is identification information that identifies correlation information. "Psychological characteristics" is information that indicates the psychological characteristics of the driver. "Driving tendency" is information that indicates the driving tendency of the driver. "Presence or absence of correlation" is information that indicates the presence or absence of correlation between the corresponding "psychological characteristics" and "driving tendency."

[0092] In the example shown in Fig. 6, the correlation data identified by the correlation ID "T01" has a psychological characteristic "Q1" and a driving tendency "R1", indicating that there is a correlation between the psychological characteristic "Q1" and the driving tendency "R1". Also, the correlation data identified by the correlation ID "T02" has a psychological characteristic "Q1" and a driving tendency "R2", indicating that there is no correlation between the psychological characteristic "Q1" and the driving tendency "R2".

[0093] Therefore, for example, if the psychological characteristic of the driver obtained from the result information of the psychological test is "Q1," it is possible to estimate the driving tendency of the driver to be "R1" by using the correlation information described above. The driving tendency of the driver estimated using the correlation information, "R1," is registered in the "driving tendency" of the driver DB 12c.

[0094] Returning to the explanation of Figure 2, the control unit 13 includes a collection unit 13a, an analysis unit 13b, a generation unit 13c, a test processing unit 13d, and a provision unit 13e, and includes, for example, a computer having a CPU, ROM, RAM, a hard disk drive, input / output ports, etc., and various circuits. The CPU of the computer functions as the collection unit 13a, analysis unit 13b, generation unit 13c, test processing unit 13d, and provision unit 13e of the control unit 13, for example, by reading and executing various programs stored in the ROM. The various programs include the teaching material provision program according to this embodiment.

[0095] Furthermore, at least some or all of the collection unit 13a, analysis unit 13b, generation unit 13c, test processing unit 13d, and provision unit 13e of the control unit 13 can be configured with hardware such as ASIC or FPGA.

[0096] The collection unit 13a collects images (including dangerous images) captured by the in-vehicle devices 100 and registers the collected images (image data) in the image DB 12a. Furthermore, if the image data includes information on the date and time when the image was captured, location information, and event information, the collection unit 13a registers this information in the image DB 12a. Furthermore, the collection unit 13a collects images from each of the multiple in-vehicle devices 100, that is, collects multiple images, but this is not limited to this.

[0097] The analysis unit 13b analyzes the collected and input video and assigns tags to the video data based on the analysis results. The tags assigned here include the above-mentioned situation information tag, near miss tag, and traffic accident tag.

[0098] Specifically, for example, if the collected video data includes event information such as "sudden braking," "sudden acceleration," "abrupt steering," or "speeding," the analysis unit 13b assigns the event information as a situation information tag. Furthermore, for example, if the video analysis detects "insufficient distance from the vehicle ahead" or "running a red light," the analysis unit 13b assigns the detected content as a situation information tag. Furthermore, for example, if the video data includes information such as "date and time" or "location," the analysis unit 13b assigns the content of such information as a situation information tag. Furthermore, for example, if the video analysis detects the weather during driving, the analysis unit 13b assigns the detected content (for example, sunny, rainy, snowy, etc.) as a situation information tag. Furthermore, for example, if the video analysis detects "sudden approach to a vehicle ahead," "sudden approach to another vehicle at an intersection," "sudden approach to a pedestrian at an intersection," etc., the analysis unit 13b assigns the detected content as a near miss tag. Furthermore, when the analysis unit 13b detects, for example, "contact with a vehicle ahead," "contact with another vehicle at an intersection," or "contact with a pedestrian at an intersection" based on the event information of the video data or the video analysis, the analysis unit 13b assigns the detected content as a traffic accident tag. Then, the analysis unit 13b associates the tag with the video data to which the tag is assigned and registers it in the teaching material DB 12b.

[0099] The generation unit 13c generates a teaching material video using the video data to which the tags have been added. Specifically, the generation unit 13c generates question information using the tags, and combines the question information with the video to generate the teaching material video. The generation unit 13c associates the question information with the video data corresponding to the question information and registers them in the teaching material DB 12b.

[0100] For example, the generation unit 13c generates question information based on tags. Specifically, the generation unit 13c generates question sentences and options using content (wording) included in the situation information tag, near-miss tag, and traffic accident tag of the video data. Then, the generation unit 13c combines the question information including the question sentences and options with the video to generate a learning material video.

[0101] In this way, the educational material providing device 10 according to this embodiment collects a plurality of videos, including dangerous videos, from the in-vehicle device 100, generates a plurality of educational material videos using the collected videos, and stores the generated plurality of educational material videos in advance in the educational material DB 12b. As a result, this embodiment can accommodate, for example, cases in which the characteristics of the drivers who are the training subjects vary widely, that is, it becomes possible to provide educational material videos that are suited to the characteristics of the drivers.

[0102] The test processing unit 13d executes various processes related to tests that can estimate the characteristics of a driver who is a training target. For example, the test processing unit 13d conducts a test on the driver who is a training target. Specifically, the test processing unit 13d conducts the test by transmitting test data to the terminal device 200 for the driver (trainee). Note that the test data is stored in advance in the storage unit 12, but is not limited to this.

[0103] As described above, the test according to this embodiment is a psychological test that can estimate psychological characteristics as driver characteristics. The psychological test may be any type of psychological test that can estimate psychological characteristics. Furthermore, the psychological test may be conducted using, for example, a questionnaire method, a projective method, a performance test method, or the like, but is not limited to these.

[0104] When the driver (trainee) has finished answering the psychological test and the psychological test is completed, the test processing unit 13d acquires result information of the answers to the psychological test. The test processing unit 13d estimates the characteristics of the driver, in other words, the psychological characteristics of the driver, from the acquired result information of the psychological test. Then, the test processing unit 13d registers the result information and the psychological characteristics of the driver in the "result information" and "psychological characteristics" of the driver DB 12c.

[0105] As described above, in the first embodiment, a psychological test is used that can estimate the psychological characteristics of the driver as the driver's characteristics, so that the driver's characteristics can be estimated easily and accurately.

[0106] The test processing unit 13d estimates the driving tendency of the driver based on the psychological characteristics of the driver. For example, the test processing unit 13d reads correlation information from the correlation DB 12d and estimates the driving tendency correlated with the psychological characteristics of the driver. Then, the test processing unit 13d registers the estimated driving tendency of the driver (trainee) in the "driving tendency" field of the driver DB 12c.

[0107] In this way, the test processing unit 13d according to the first embodiment estimates driving tendencies that correlate with the psychological characteristics of the driver based on the psychological characteristics of the driver obtained from the result information of the psychological test, and therefore can estimate the driving tendencies of the driver easily and accurately.

[0108] The providing unit 13e provides the educational video according to the characteristics of the driver (trainee). For example, the providing unit 13e provides the educational video to the driver, which is a video according to the characteristics of the driver and is captured by the in-vehicle device 100. That is, the providing unit 13e provides the educational video according to the characteristics of the driver to the driver.

[0109] As a result, in this embodiment, it is possible to provide educational videos with a high educational effect that are tailored to the driver (the person being educated). In other words, by providing educational videos tailored to the driver's characteristics, the driver is more likely to perceive the content of the educational video as something that could possibly happen to them, and as a result, the educational effect of the educational video on the driver can be improved.

[0110] Specifically, the providing unit 13e provides, as the educational video, a video corresponding to the driving tendency estimated based on the psychological characteristics of the driver. For example, the providing unit 13e searches the educational video DB 12b based on the driving tendency of the driver, and selects and provides the educational video corresponding to the driving tendency.

[0111] As an example, if the driver's driving tendency is "prone to speeding," the providing unit 13e searches the educational material DB 12b based on the driving tendency, and selects and provides educational material videos tagged with a tag (situation information tag) of "speeding." Furthermore, the providing unit 13e may select and provide educational material videos tagged with a tag (near miss tag or traffic accident tag) corresponding to a near miss or traffic accident caused by "speeding" from the educational material videos in the educational material DB 12b (for example, educational material videos tagged with "rapid approach to vehicle ahead" or "contact with vehicle ahead").

[0112] This allows the providing unit 13e to provide educational video with high educational effectiveness that is suited to the characteristics, specifically the psychological characteristics, of the driver (trainee).

[0113] Here, the educational video provided to the driver (trainee) will be described with reference to Fig. 7. Fig. 7 is a diagram showing the display 201 of the terminal device 200 to which the educational video has been provided.

[0114] 7, the providing unit 13e provides the educational video to the terminal device 200, and causes it to be displayed in the display field 300 of the display 201. The educational video includes an image (dangerous image) 310 captured by the in-vehicle device 100 and question information 320. The question information 320 includes a display field 321 in which a question sentence is displayed, and a display field 322 in which options are displayed. Then, the driver (the person being educated) selects an option and answers the question, thereby providing traffic safety education to the driver.

[0115] 2, the providing unit 13e provides, as the teaching material video, a video captured by the in-vehicle device 100 mounted on the vehicle V driven by the driver (trainee). In other words, the providing unit 13e provides, as the teaching material video, a video of the in-vehicle device 100 of the driver (trainee) himself.

[0116] For example, if the educational material video stored in the memory unit 12 (more precisely, the educational material DB 12b) includes video captured by an in-vehicle device 100 mounted on a vehicle V driven by a driver (trainee), the providing unit 13e selects and provides the video as educational material video.

[0117] In this embodiment, therefore, it is possible to provide, as educational video, video (dangerous video) captured by the in-vehicle device 100 while the driver (trainee) was driving himself / herself. This allows the driver (trainee) to recall and confirm dangerous incidents that occurred while he / she was driving, thereby further improving the educational effect of the educational video on the driver.

[0118] In the above, an example was given in which video of the driver (trainee)'s own in-vehicle device 100 is present among the educational video in the storage unit 12, but there are also cases in which such video does not exist. That is, for example, there are cases in which video data of the driver (trainee) is not registered in the educational material DB 12b for reasons such as no dangerous video being present in the in-vehicle device 100 of the vehicle V driven by the driver (trainee) and therefore no video data being collected, or no video data being collected because the trainee has not driven during a predetermined video collection period.

[0119] In this way, if the educational material video stored in the memory unit 12 (more precisely, the educational material DB 12b) does not include video captured by the in-vehicle device 100 of the vehicle V driven by the driver (trainee), the providing unit 13e provides, as the educational material video, video captured by the in-vehicle device 100 mounted on the vehicle V driven by a driver other than the driver (trainee).

[0120] At this time, the providing unit 13e may provide as educational video a video selected corresponding to another driver (hereinafter sometimes referred to as a "similar driver") who has characteristics similar to those of the driver (trainee).

[0121] For example, the providing unit 13e identifies similar drivers who have similar characteristics, more specifically, similar psychological characteristics, of the driver (trainee). Here, similar characteristics include, but are not limited to, cases where the characteristics match in whole or in part, or where the characteristics are within a predetermined tolerance range. The predetermined tolerance range can be set arbitrarily.

[0122] Then, the providing unit 13e estimates the driving tendency of the identified similar driver from the characteristics of the similar driver, selects a video (dangerous video) of the in-vehicle device 100 of the similar driver that corresponds to the estimated driving tendency, and provides it as a teaching video.

[0123] As a result, in this embodiment, even if the video of the driver's (trainee's) own in-vehicle device 100 is not included (does not exist) in the educational video stored in the storage unit 12, it is possible to provide educational video with a high educational effect according to the characteristics of the driver (trainee). In other words, because educational video (dangerous video) of a similar driver whose characteristics are relatively close to those of the driver (trainee) is provided, the driver (trainee) will likely recognize that the content of the educational video is likely to happen to him / her, and as a result, the educational effect of the educational video on the driver can be further improved.

[0124] Note that the providing unit 13e provides the educational video to the terminal device 200, but is not limited to this. That is, the providing unit 13e may provide the educational video to the in-vehicle device 100 of the driver (trainee).

[0125] The providing unit 13e may provide the driver with advice on driving in addition to the educational video. The destination of the advice on driving may be the terminal device 200 or the in-vehicle device 100.

[0126] Specifically, the test processing unit 13d generates a list of risky driving that is likely to occur for each psychological characteristic based on the driver's psychological characteristic and driving tendencies correlated with the psychological characteristic. As an example, if the driver's psychological characteristic is "impatient" and the correlated driving tendency is "speeding," the test processing unit 13d estimates that the driver is likely to engage in risky driving such as "speeding" or "approaching a vehicle ahead" or "colliding with a vehicle ahead" caused by speeding, and lists the estimated risky driving. Then, the providing unit 13e may provide driving advice to the driver (e.g., "You tend to speed. Please drive carefully to avoid speeding") based on the generated list of risky driving.

[0127] At this time, the providing unit 13e may change the content of the advice depending on the psychological characteristic. For example, if the psychological characteristic of the driver is "impatient," the driver will be less likely to accept long advice, so the providing unit 13e may change the advice to be shorter and more concise (for example, "be careful not to exceed the speed limit") than when the driver is not "impatient."

[0128] <Control process of the teaching material providing device according to the first embodiment> Next, an example of a specific processing procedure in the learning material providing device 10 according to the first embodiment will be described with reference to Fig. 8. Fig. 8 is a flowchart showing the processing procedure executed by the learning material providing device 10 according to the first embodiment.

[0129] 8, the control unit 13 of the educational material providing device 10 collects video from the in-vehicle device 100 of the vehicle V (step S10). Next, the control unit 13 analyzes the collected video and assigns tags to the video data based on the analysis results (step S11).

[0130] Next, the control unit 13 generates a teaching material video using the tagged video data (step S12). For example, the control unit 13 generates the teaching material video by combining the tagged video data with question information. The control unit 13 registers the generated teaching material video in the teaching material DB 12b.

[0131] Next, the control unit 13 conducts a psychological test and acquires result information of the psychological test (step S13). Next, the control unit 13 estimates a driving tendency of the vehicle that correlates with the psychological characteristics of the driver based on the psychological characteristics of the driver obtained from the acquired result information (step S14).

[0132] Next, the control unit 13 determines whether or not the educational video stored in the storage unit 12 (more precisely, the educational material DB 12b) includes video of the driver's (trainee's) own in-vehicle device 100 (step S15). If the educational video includes video of the driver's own in-vehicle device 100 (step S15, Yes), the control unit 13 selects the video of the driver's (trainee's) own in-vehicle device 100 as the educational video (step S16).

[0133] On the other hand, if the educational video does not include video of the driver's own in-vehicle device 100 (step S15, No), the control unit 13 selects video captured by the in-vehicle device 100 of another driver (similar driver) different from the driver (trainee) as the educational video (step S17).

[0134] Then, the control unit 13 provides the educational video selected in step S16 or step S17 to the driver (step S18).

[0135] As described above, the learning material providing device 10 according to the first embodiment has the control unit 13. The control unit 13 acquires result information indicating the test results of the student in a test that can estimate the student's characteristics, and provides the student with a video captured by the in-vehicle device 100 as learning material video, the video being in accordance with the student's characteristics obtained from the acquired result information. This makes it possible to provide learning material video with high educational effectiveness.

[0136] (Second embodiment) Next, a learning material providing device 10 according to a second embodiment will be described with reference to Fig. 2. In the following, the same components as those in the first embodiment will be denoted by the same reference numerals and will not be described again.

[0137] In the second embodiment, a driving aptitude test is used as a test to be administered to a driver (trainee). The driving aptitude test is a test that can estimate, for example, a driver's aptitude for driving a vehicle as a driver's characteristic. Specifically, the driving aptitude test is a test that examines the degree to which a driver has the motor skills, judgment ability, memory ability, etc. required to drive a vehicle.

[0138] The teaching material providing device 10 according to the second embodiment provides, as teaching material video, video corresponding to the driving aptitude obtained from the result information of the driving aptitude test. As a result, in the second embodiment, it is possible to provide teaching material video with high educational effect.

[0139] Specifically, as mentioned above, there are individual differences in vehicle driving tendencies, but these differences in driving tendencies are largely due to the driver's driving aptitude. In other words, there is a correlation between a driver's driving aptitude, which is one of the driver's characteristics, and the driver's driving tendencies.

[0140] As an example, when the judgment ability and memory ability in driving aptitude are relatively low, there is a tendency for decisions to be delayed while driving, and therefore there is a correlation between the driving tendency to be "prone to sudden braking, sudden acceleration, and sudden steering" and "prone to ignoring traffic lights." As another example, when the motor ability in driving aptitude is relatively low, there is a tendency for reflex operations while driving to be delayed, and as a result there is a correlation between the driving tendency to be "prone to sudden braking, sudden acceleration, and sudden steering" and "prone to ignoring traffic lights."

[0141] The educational material providing device 10 according to the second embodiment uses correlation information indicating the correlation between the driver's driving aptitude and driving tendencies to estimate, from the driver's characteristics, driving tendencies that correlate with such characteristics, and provides video corresponding to the estimated driving tendencies as educational material video.

[0142] More specifically, the driver DB 12c according to the second embodiment stores information about driving aptitude as information about the driver. Here, the driver DB 12c will be described with reference to Fig. 9. Fig. 9 is a diagram showing an example of the driver DB 12c according to the second embodiment.

[0143] 9, the driver DB 12c according to the second embodiment includes items such as "driver ID," "result information," "driving aptitude," and "driving tendency," and data for each item is associated with the "driver ID." In other words, corresponding data such as "result information" and "driving aptitude" is stored in a data record identified by the "driver ID."

[0144] The "result information" is result information that indicates the test results of the corresponding driver. Specifically, the "result information" includes result information of a test that can estimate the driver's characteristics, and more specifically, result information of a driving aptitude test that can estimate the driver's driving aptitude as the driver's characteristics.

[0145] The result information of the driving aptitude test is expressed as a score (points), which is an index value according to the level of motor ability and memory ability, but is not limited to this and may be other types of information (index values), such as a rank. Furthermore, because motor ability, judgment ability, memory ability, etc. tend to decline with age, if the driver (trainee) is elderly, the score of the driving aptitude test is likely to be low.

[0146] "Driving aptitude" is information indicating the characteristics of a driver obtained from the corresponding result information, and more precisely, information indicating the driving aptitude of a driver. "Driving aptitude" includes, for example, information indicating the result of comparing a score indicating the corresponding driver's athletic ability, judgment ability, memory ability, etc. with a standard score. Note that the standard score is set to, for example, a value indicating athletic ability suitable for driving a vehicle or a value indicating the average athletic ability of people of the same age as the driver (trainee), but these are merely examples and are not limited thereto, and can be set to any value.

[0147] Therefore, "driving aptitude" includes information indicating, for example, the driving aptitude of the corresponding driver, such as "relatively low (or high) athletic ability," "relatively low (or high) judgment ability," or "relatively low (or high) memory ability." Note that, although the information on "driving aptitude" is described above as two-level information such as low or high athletic ability, it is not limited to this and may be, for example, tiered information indicated in three or more levels depending on the difference from the standard score. Furthermore, the number of pieces of information registered in "driving aptitude" may be one or more.

[0148] "Driving tendency" is information that indicates the driving tendency of a driver regarding vehicle driving. Such "driving tendency" is information that indicates driving tendency that is correlated with the characteristics (more precisely, driving aptitude) of the corresponding driver.

[0149] In the example shown in FIG. 9, the data of a driver identified by a driver ID "B01" indicates that the result information is "W1", the driving aptitude is "X1", and the driving tendency is "R1".

[0150] Next, the correlation DB 12d according to the second embodiment will be described with reference to Fig. 10. Fig. 10 is a diagram showing an example of the correlation DB 12d according to the second embodiment.

[0151] 10, the correlation DB 12d according to the second embodiment includes items such as "correlation ID," "driving aptitude," "driving tendency," and "presence or absence of correlation," and data for each item is associated with the "correlation ID." In other words, corresponding data such as "driving aptitude" and "driving tendency" is stored in a data record identified by the "correlation ID."

[0152] "Driving aptitude" is information indicating the driving aptitude of a driver. "Driving tendency" is information indicating the driving tendency of a driver. "Presence or absence of correlation" is information indicating the presence or absence of correlation between the corresponding "driving aptitude" and "driving tendency."

[0153] In the example shown in Figure 10, the correlation data identified by correlation ID "T21" has driving aptitude "X1" and driving tendency "R1", indicating that there is a correlation between the driving aptitude "X1" and the driving tendency "R1". Also, the correlation data identified by correlation ID "T22" has driving aptitude "X1" and driving tendency "R2", indicating that there is no correlation between the driving aptitude "X1" and the driving tendency "R2".

[0154] Therefore, for example, if the driving aptitude of a driver obtained from the result information of a driving aptitude test is "X1," it is possible to estimate the driving tendency of the driver to be "R1" by using the correlation information described above. The driving tendency "R1" of the driver estimated using the correlation information is registered in the "driving tendency" of the driver DB 12c according to the second embodiment.

[0155] Returning to the explanation of FIG. 2, the test processing unit 13d of the teaching material providing device 10 according to the second embodiment acquires result information of the driving aptitude test when the driver (trainee) completes the driving aptitude test. The test processing unit 13d estimates the characteristics of the driver, in other words, the driving aptitude of the driver, from the acquired result information of the driving aptitude test. Then, the test processing unit 13d registers the result information and the driving aptitude of the driver in the "result information" and "driving aptitude" fields of the driver DB 12c (see FIG. 9).

[0156] In this way, in the second embodiment, a driving aptitude test is used that can estimate a driver's driving aptitude as a driver's characteristic, so that the driver's characteristic can be estimated easily and accurately.

[0157] The test processing unit 13d estimates the driving tendency of the driver based on the driving aptitude of the driver. For example, the test processing unit 13d reads correlation information from the correlation DB 12d (see FIG. 10) and estimates the driving tendency correlated with the driver's driving aptitude. Then, the test processing unit 13d registers the estimated driving tendency of the driver (trainee) in the "driving tendency" field of the driver DB 12c (see FIG. 9).

[0158] In this way, the test processing unit 13d according to the second embodiment is configured to estimate driving tendencies that correlate with the driver's driving aptitude based on the driver's driving aptitude obtained from the result information of the driving aptitude test, and therefore can easily and accurately estimate the driver's driving tendencies.

[0159] The providing unit 13e provides, as the educational video, a video corresponding to the driving tendency estimated based on the driving aptitude, which is a characteristic of the driver. For example, the providing unit 13e searches the educational video DB 12b based on the driving tendency of the driver, and selects and provides the educational video corresponding to the driving tendency.

[0160] In this way, in the second embodiment, by using a driving aptitude test, it is possible to provide highly effective educational video that is tailored to the characteristics of the driver (trainee), more specifically, the driving aptitude. Also, in the second embodiment, it is possible to provide highly effective educational video that is tailored to the driving aptitude of elderly drivers who are likely to score low on driving aptitude tests. The remaining effects are the same as in the first embodiment.

[0161] <Control process of the teaching material providing device according to the second embodiment> Next, an example of a specific processing procedure in the learning material providing device 10 according to the second embodiment will be described with reference to Fig. 11. Fig. 11 is a flowchart showing the processing procedure executed by the learning material providing device 10 according to the second embodiment.

[0162] As shown in FIG. 11, the control unit 13 of the teaching material providing device 10 according to the second embodiment executes the processes of steps S10 to S12, and then conducts a driving aptitude test and acquires result information of the driving aptitude test (step S13a).

[0163] Next, the control unit 13 estimates the vehicle driving tendency correlated with the driver's driving aptitude based on the driver's driving aptitude obtained from the acquired result information (step S14a).Then, the control unit 13 executes the processes from step S15 onward using the estimated driving tendency.

[0164] The educational video generated in each of the above-described embodiments may be subjected to a masking process to conceal vehicle license plates, people, and the like that are captured in the video, for example, for the purpose of protecting personal information. Masking is a process in which areas of vehicle license plates or people in the video are filled in or pixelated. This makes it possible, for example, to repurpose the generated educational video for use as educational video for other companies, thereby improving the versatility of the educational video.

[0165] The first and second embodiments described above can be combined as appropriate. For example, the characteristics of a trainee (driver) may be estimated using the psychological test according to the first embodiment and the driving aptitude test according to the second embodiment.

[0166] Further advantages and modifications will readily occur to those skilled in the art. Therefore, the invention in its broader aspects is not limited to the specific details and representative embodiments shown and described above. Accordingly, various modifications may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and their equivalents. [Explanation of symbols]

[0167] 1. Teaching material provision system 10 Educational material provision device 13 Control Unit 100 Onboard equipment 105 Control Unit

Claims

1. A teaching material providing device that provides a training subject with vehicle driving video captured by an in-vehicle device, Acquire characteristic information of the education recipient based on a personality diagnostic test; From the plurality of educational videos classified by characteristics of the vehicle driving videos, providing the training subject with a video of the training subject driving, the video corresponding to the characteristic information; If the educational video is not available, another educational video of another driver driving is provided to the training recipient. A teaching material providing device having a control unit.

2. The personality test is a psychological test capable of estimating the psychological characteristics of the education recipient as the characteristics of the education recipient; The teaching material providing device according to claim 1 .

3. The control unit estimating a driving tendency related to vehicle driving correlated with the psychological characteristics of the training subject based on the psychological characteristics of the training subject obtained from result information indicating the results of the psychological test; providing a video according to the estimated driving tendency as the educational video; The teaching material providing device according to claim 2.

4. The personality test is A driving aptitude test that can estimate the training subject's driving aptitude for a vehicle as a characteristic of the training subject. The teaching material providing device according to claim 1 .

5. The control unit estimating a driving tendency for driving a vehicle that is correlated with the driving aptitude of the training subject based on the driving aptitude of the training subject obtained from result information indicating the result of the driving aptitude test; providing a video according to the estimated driving tendency as the educational video; 5. The teaching material providing device according to claim 4.

6. An in-vehicle device having an in-vehicle device control unit, The in-vehicle device control unit Obtaining characteristic information of the educational target based on a personality diagnostic test, From a plurality of educational videos in which vehicle driving videos captured by the in-vehicle device are classified by characteristics, receiving a teaching material video of the training target driving, corresponding to the characteristic information; If there is no educational video, another educational video of another driver driving the vehicle corresponding to the characteristic information is received; displaying the received educational video on a display unit of the in-vehicle device; In-vehicle device.

7. A teaching material providing method executed by a teaching material providing device, Obtaining characteristic information of the educational target based on a personality diagnostic test, From multiple educational videos that are categorized by characteristics of vehicle driving videos captured by in-vehicle devices, providing the training subject with a video of the training subject driving, the video corresponding to the characteristic information; If the educational video is not available, another educational video of another driver driving the vehicle corresponding to the characteristic information is provided to the training recipient. Method of providing teaching materials.

8. On the computer, Obtaining characteristic information of the educational target based on a personality diagnostic test, From multiple educational videos that are categorized by characteristics of vehicle driving videos captured by in-vehicle devices, providing the training subject with a video of the training subject driving, the video corresponding to the characteristic information; If the educational video is not available, another educational video of another driver driving the vehicle corresponding to the characteristic information is provided to the training recipient. A program that provides instructional materials to help you carry out the steps.

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