JP7418683B2 - Evaluation device, evaluation method - Google Patents

Description

The present invention relates to an evaluation device and an evaluation method.

2. Description of the Related Art Driving support devices that support a driver driving a vehicle such as a car are known. For example, a driving behavior evaluation device is known that detects a driver's driving behavior and evaluates whether a safety confirmation operation is appropriate (see, for example, Patent Document 1).

Japanese Patent Application Publication No. 2007-133692

In recent years, many traffic accidents have been caused by elderly drivers who have deteriorated abilities such as tracking ability and position prediction ability. In order to prevent such accidents, there is a need for driving support that is tailored to the driver's visual recognition ability.

The present invention has been made in view of the above, and an object of the present invention is to provide an evaluation device and an evaluation method capable of evaluating a driver's tracking ability and position prediction ability.

The evaluation device according to the present invention includes a display unit, a gaze point detection unit that detects a position of a subject's gaze point on the display unit, and a target object to be gazed at by the subject on the display unit, and a predetermined movement path. a first display operation in which the object is moved along the line; a non-display operation in which the object is hidden for a predetermined period during the first display operation; and after the non-display operation, the object is moved along the A second display operation in which the object is displayed again at a position where the object was moved for the predetermined period of time along the movement route continuously from the first display operation and moved along the movement route. a control unit; an area setting unit that sets a determination area on the display unit that corresponds to the object moving along the movement route; a determination unit that determines whether or not the determination is true; a calculation unit that calculates point-of-gaze data based on the determination result of the determination unit; and an evaluation unit that calculates evaluation data of the subject based on the point-of-gaze data. Be prepared.

The evaluation method according to the present invention includes a first display operation in which an object to be gazed at by a subject is displayed on a display section and moved along a predetermined movement route, and a first display operation in which the object is displayed for a predetermined period in the middle of the first display operation. a non-display operation to perform a non-display operation, and after the non-display operation, the object is placed at a position when the object moves for the predetermined period of time along the movement path continuously from the first display operation in the non-display operation. a second display operation of displaying the object again and moving it along the moving route, setting a determination area corresponding to the object moving along the moving route on the display section, and Detecting the position of the subject's point of gaze at the top, determining whether or not the point of gaze exists in the determination area based on the position data of the point of gaze, and point of gaze data calculated based on the determination result. and obtaining evaluation data of the subject based on the test subject.

According to the present invention, it is possible to evaluate a driver's tracking ability and position prediction ability.

FIG. 1 is a functional block diagram showing an example of a driving support device according to this embodiment. FIG. 2 is a flowchart illustrating an example of the evaluation method according to this embodiment. FIG. 3 is a diagram illustrating an example of an evaluation device for acquiring evaluation data. FIG. 4 is a functional block diagram showing an example of the evaluation device. FIG. 5 is a diagram showing an example of an evaluation image displayed on the display unit. FIG. 6 is a diagram showing an example of an evaluation image displayed on the display unit. FIG. 7 is a flowchart illustrating an example of the evaluation method according to this embodiment. FIG. 8 is a diagram showing another example of the evaluation image displayed on the display unit. FIG. 9 is a diagram showing another example of the evaluation image displayed on the display unit. FIG. 10 is a flowchart showing another example of the evaluation method according to this embodiment.

DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments of a driving support device, an evaluation device, a driving support method, and a driving support program according to the present invention will be described based on the drawings. Note that the present invention is not limited to this embodiment. Furthermore, the constituent elements in the embodiments described below include those that can be easily replaced by those skilled in the art, or those that are substantially the same.

[Driving support device]
FIG. 1 is a functional block diagram showing an example of a driving support device 1 according to the present embodiment. The driving support device 1 shown in FIG. 1 is mounted on a vehicle such as a car, for example, and supports a driver who drives the vehicle. The driving support device 1 may be provided as an independent in-vehicle device, or may be provided as a part of in-vehicle equipment such as a drive recorder or a car navigation system.

As shown in FIG. 1, the driving support device 1 includes a driver identification section 2, a driving situation acquisition section 3, a driver data acquisition section 4, an evaluation data acquisition section 5, an event detection section 6, and a processing section. 7 and a storage section 8. The driving support device 1 may include an output section 9. Hereinafter, in this embodiment, a configuration in which the driving support device 1 includes an output section 9 will be described as an example.

The driver identification unit 2 identifies a driver who drives a vehicle. The driver identification unit 2 acquires driver identification data. The driver identification data can be obtained by various methods. For example, if the driving support device 1 is provided with an input device (not shown), the driver may input his or her name via the input device. Furthermore, when a vehicle is equipped with an on-vehicle camera capable of photographing the driver, the driver may be identified by performing image processing or the like on the video data of the on-vehicle camera. In this case, the video data from the in-vehicle camera becomes the driver identification data. Further, when a detection device that detects information such as a driver's license is installed in the vehicle, the driver identification unit 2 acquires the detection result of the detection device as driver identification data, and based on the driver identification data. The configuration may be such that the driver is identified by the driver.

The driving situation acquisition unit 3 acquires driving situation data. For example, when the vehicle is equipped with a front camera that photographs the front of the vehicle, the driving situation data includes video data of the front camera. Further, the driving situation data includes data (OBD data) used for on-board diagnostics (OBD). The OBD data includes speed data indicating the speed of the vehicle.

The driver data acquisition unit 4 acquires driver data. The driver data includes, for example, vital data detected by the vital data detection section when the vehicle is equipped with a vital data detection section that detects the vital data of the driver. Furthermore, for example, if a vehicle is equipped with an in-vehicle camera capable of photographing the driver's face, and it is possible to measure the driver's line of sight while driving based on the video data of the in-vehicle camera, the driver data is the line-of-sight data. including.

The evaluation data acquisition unit 5 acquires evaluation data regarding the driver identified by the driver identification unit 2. The evaluation data acquisition unit 5 may acquire evaluation data via a storage medium such as a USB memory, or may acquire evaluation data via a network from an external server that stores evaluation data.

In this embodiment, the evaluation data is data for evaluating the driver's ability. In this embodiment, such evaluation data includes evaluation data for evaluating the driver's reaction speed, and evaluation data for evaluating the driver's tracking ability and position prediction ability. The evaluation data for evaluating the driver's reaction speed can be a two-level evaluation of whether the driver's reaction speed is fast or not. Furthermore, the evaluation data for evaluating the driver's tracking ability and position prediction ability can be a two-level evaluation of whether the driver's tracking ability and position prediction ability are high or not. Note that the evaluation data is not limited to two-stage evaluation, but may be three-stage or more evaluation.

The event detection unit 6 detects an event during vehicle operation based on surrounding information data. Events include individual situations or events that occur around a vehicle driven by a driver. Examples of events include situations in which another vehicle is stopped on the shoulder of the road in front of the own vehicle, a pedestrian crossing a crosswalk in front of the vehicle in front of the vehicle, and a situation in which the vehicle approaches an intersection. Examples include, but are not limited to, a situation where an oncoming vehicle crosses in front to make a right turn.

Events can be classified, for example, by type. Event classifications include, for example, presence of parked vehicles and obstacles, pedestrians and cars running out, presence of traffic lights and signs, switching of traffic lights, passing pedestrians and bicycles, passing each other with oncoming vehicles (driving on the wrong side) etc.), pedestrian and bicycle crossing, positional relationship with oncoming vehicles at intersections (right turn for oncoming vehicle, right turn for own vehicle, etc.), etc. Note that the method of classifying events is not limited to the above method, and other methods of classification may be adopted, such as classification according to training items at a designated driving school.

In addition, event classification items include reaction events that require a reaction and response within a relatively short period of time after their occurrence, such as a signal changing, a pedestrian running out, and the brake lights of a preceding vehicle turning on. It will be done. In addition, event classification items include when merging on a highway, positional relationship with oncoming vehicles when turning right at an intersection, positional relationship with other vehicles attempting to merge onto the road your own vehicle is traveling on from the left, etc. Examples include predictive events that require prediction of the movement of a target vehicle, pedestrian, or the like.

Further, the surrounding information data is data related to the surrounding situation of the vehicle when the vehicle is running. For example, if the vehicle is equipped with a peripheral camera that photographs the surroundings of the vehicle, such as a front camera that photographs the front of the vehicle, a side camera that photographs the side of the vehicle, and a rear camera that photographs the rear of the vehicle, surrounding information The data includes video data of the surrounding camera. Further, for example, if a sensor, a laser scanner, or the like that detects the surrounding situation of the vehicle is mounted on the vehicle, the surrounding information data includes detection results of these sensors, laser scanner, etc. Furthermore, when the vehicle is equipped with a car navigation system or the like, the surrounding information data may include information from the car navigation system, such as the position of an intersection, the position of a traffic light, the position of a broken vehicle, or an obstacle.

For example, when detecting an event based on video data from a surrounding camera, the event detection unit 6 performs pattern matching on the position, size, range, etc. of an object included in the video data, and selects a predetermined pattern calculated in advance. If a pattern similar to is detected, it can be detected that an event corresponding to the predetermined pattern has occurred. Note that the predetermined pattern can be calculated in advance based on a plurality of image data showing the same event as the event, and the calculation result can be stored in the storage unit 8. The method of detecting an event is not limited to the above-mentioned method, and it is also possible to detect the event using AI that has undergone machine learning.

When an event is detected by the event detection section 6, the processing section 7 determines whether to output notification information from the output section 9 based on the driver's evaluation data regarding the detected event. In this case, the processing unit 7 first determines to which category the detected event belongs among the plurality of categories described above, and obtains evaluation data according to the category to which the event belongs.

For example, when the detected event belongs to a reaction event, the processing unit 7 acquires, for example, evaluation data for evaluating the driver's reaction speed as evaluation data corresponding to the reaction event. Next, in the acquired evaluation data, if the evaluation indicates that the driver's reaction speed is fast, the processing unit 7 determines not to output the notification information. Furthermore, when the evaluation content in the acquired evaluation data indicates that the driver's reaction speed is not fast, the processing unit 7 determines to output notification information.

Further, when the detected event belongs to a predicted event, the processing unit 7 acquires, for example, evaluation data for evaluating the driver's tracking ability and position prediction ability, as evaluation data corresponding to the predicted event. Next, in the acquired evaluation data, if the evaluation indicates that the driver's tracking ability and position prediction ability are high, the processing unit 7 determines not to output the notification information. Furthermore, when the evaluation content in the acquired evaluation data indicates that the driver's tracking ability and position prediction ability are not high, the processing unit 7 determines to output notification information.

When the processing unit 7 determines to output the notification information, the processing unit 7 causes the output unit 9 to output the notification information. When the evaluation content of the evaluation data is three or more levels, the notification information outputted to the output unit 9 may be changed depending on the evaluation content. For example, the processing unit 7 determines the number, combination, and output content (volume level, , the brightness of the display, the level of output such as the strength of vibration, and the length of output time), etc. can be set.

The processing unit 7 may make a determination regarding the output of notification information based on the driving situation data acquired by the driving situation acquisition unit 3. For example, when the speed of the vehicle is below a predetermined threshold, the processing unit 7 may prevent the output of notification information regardless of the evaluation data, reduce the level of output, or set the length of output time. You can make decisions such as shortening the Further, when the speed of the vehicle exceeds a predetermined threshold, the processing unit 7 causes the notification information to be output regardless of the evaluation data, increases the degree of output of the notification information, or shortens the output time. You can make decisions such as increasing the length.

The processing unit 7 may make a determination regarding the output of notification information based on the driver data acquired by the driver data acquisition unit 4. For example, if the driver's vital data differs from normal values, such as when the body temperature exceeds the normal temperature, when the pulse rate and the respiratory rate exceed normal values, etc., the processing unit 7 It is possible to make decisions such as outputting the notification information first, increasing the output level of the notification information, or lengthening the output time.

Further, for example, when an event is detected by the event detection unit 6, the processing unit 7 acquires the driver's line of sight data, and uses the driver data to calculate the driver's reaction speed to the event. Then, the processing unit 7 makes a determination and adjusts the output of the notification information based on a comparison between the calculation result and the evaluation data regarding the driver's reaction speed. For example, if the reaction speed based on the evaluation data is fast, but the reaction speed based on the driver data is not fast, it is assumed that the driver may be unable to demonstrate his or her original reaction speed due to fatigue or decreased concentration. Ru. Therefore, in such a case, the processing unit 7 may output information urging the driver to take a rest. In addition, in such a case, the processing unit 7 may cause the output of notification information to warn or call attention to the driver regardless of the evaluation data, increase the level of output of the notification information, or It is possible to make decisions such as increasing the length of time.

The storage unit 8 stores various data. The storage unit 8 stores the above-mentioned driver identification data, driving situation data, driver data, evaluation data, data used to detect events, and the like. Furthermore, the storage unit 8 performs a process of identifying a driver who drives the vehicle, a process of acquiring evaluation data for evaluating the driver's reaction speed, and a process of determining the vehicle based on surrounding information data indicating the surrounding situation of the vehicle. A process for detecting whether an event has occurred during driving, and when an event is detected, determining whether or not to output notification information from the output unit 9 based on the driver's evaluation data, and outputting the notification information. When it is determined that this is the case, a driving support program that causes the computer to execute a process of causing the output unit 9 to output notification information is stored. The storage unit 8 also performs processing for identifying the driver who drives the vehicle, processing for acquiring evaluation data for evaluating the tracking ability and position prediction ability of the driver, and peripheral information data indicating the situation around the vehicle. A process of detecting whether or not an event has occurred during vehicle operation based on , a driving support program that causes the computer to execute a process of causing the output unit 9 to output the notification information when it is determined that the notification information is to be output is stored.

The output unit 9 outputs notification information according to a command from the processing unit 7. The notification information includes a warning to the driver. Examples of the output unit 9 include an audio output device 9a such as a speaker, a display device 9b capable of displaying an image, and a vibration generator 9c such as a vibrator. As the output unit 9, for example, an external mobile terminal device such as a mobile phone, a smartphone, or a tablet may be used.

Next, an example of the driving support method according to the present embodiment will be described with reference to FIG. 2. FIG. 2 is a flowchart illustrating an example of the evaluation method according to this embodiment. In the driving support method according to this embodiment, as shown in FIG. 2, the driver identification unit 2 identifies the driver based on driver identification data (step S101). The evaluation data acquisition unit 5 acquires evaluation data of the identified driver (step S102).

After acquiring the evaluation data, the driving situation acquisition unit 3, driver data acquisition unit 4, and event detection unit 6 each acquire driving situation data, driver data, and surrounding information data (step S103). The event detection unit 6 analyzes whether an event has occurred based on the acquired peripheral information data (step S104).

If an event has occurred (Yes in step S105), the processing unit 7 determines whether to output notification information from the output unit 9 (step S106). As a result of the determination in step S106, if it is determined that the notification information is to be output (Yes in step S106), the processing unit 7 sets a notification mode (step S107), and notifies the output unit 9 in the set notification mode. The information is output (step S108).

If no event has occurred in step S105 (No in step S105), and if it is determined in step S106 that the notification information is not to be output (No in step S106), the processing unit 7 determines whether driving of the vehicle has ended or not. It is determined whether or not (step S109). If the driving of the vehicle has ended (Yes in step S109), the process ends. If the driving of the vehicle has not been completed (No in step S109), the process from step S103 onwards is repeated.

[Evaluation data, evaluation device]
FIG. 3 is a diagram illustrating an example of an evaluation device for acquiring evaluation data. The evaluation device 100 according to the present embodiment detects the subject's line of sight and uses the detection results to evaluate the recognition ability for events that occur while the vehicle is running. The evaluation device 100 can perform various methods such as a method of detecting the line of sight based on the position of the subject's pupil and the position of the corneal reflection image, or a method of detecting the line of sight based on the position of the inner corner of the subject's eye and the position of the iris. The method allows the subject's line of sight to be detected.

As shown in FIG. 3, the evaluation device 100 includes a display device 10, an image acquisition device 20, a computer system 30, an output device 40, an input device 50, and an input/output interface device 60. The display device 10, the image acquisition device 20, the computer system 30, the output device 40, and the input device 50 perform data communication via the input/output interface device 60. The display device 10 and the image acquisition device 20 each have a drive circuit (not shown).

Display device 10 includes a flat panel display such as a liquid crystal display (LCD) or an organic electroluminescence display (OLED). In this embodiment, the display device 10 includes a display section 11. The display unit 11 displays information such as images. The display section 11 is substantially parallel to the XY plane. The X-axis direction is the left-right direction of the display section 11, the Y-axis direction is the up-down direction of the display section 11, and the Z-axis direction is the depth direction orthogonal to the display section 11. Display device 10 may be a head-mounted display device. If the display device 10 is a head-mounted display device, a configuration such as the image acquisition device 20 will be disposed within the head-mounted module. Further, the display device 10 may be a display device installed in a driving simulator, for example.

The image acquisition device 20 acquires image data of the left and right eyeballs EB of the subject, and transmits the acquired image data to the computer system 30. The image acquisition device 20 includes a photographing device 21 . The photographing device 21 acquires image data by photographing the left and right eyeballs EB of the subject. The photographing device 21 includes various cameras depending on the method of detecting the subject's line of sight. For example, in the case of a method of detecting the line of sight based on the position of the subject's pupil and the position of the corneal reflection image, the imaging device 21 has an infrared camera and is capable of transmitting near-infrared light with a wavelength of 850 [nm], for example. It has an optical system and an image sensor that can receive the near-infrared light. Furthermore, for example, in the case of a method of detecting the line of sight based on the position of the inner corner of the subject's eye and the position of the iris, the photographing device 21 includes a visible light camera. The photographing device 21 outputs a frame synchronization signal. The period of the frame synchronization signal can be, for example, 20 [msec], but is not limited to this. The photographing device 21 can have, for example, a stereo camera configuration including a first camera 21A and a second camera 21B, but is not limited thereto.

Further, for example, in the case of a method of detecting the line of sight based on the position of the subject's pupil and the position of the corneal reflection image, the image acquisition device 20 includes an illumination device 22 that illuminates the subject's eyeball EB. The illumination device 22 includes an LED (light emitting diode) light source, and is capable of emitting near-infrared light with a wavelength of 850 [nm], for example. Note that, for example, in the case of a method of detecting the line of sight based on the position of the inner corner of the subject's eye and the position of the iris, the illumination device 22 may not be provided. The illumination device 22 emits detection light in synchronization with the frame synchronization signal of the photographing device 21. The illumination device 22 can have, for example, a first light source 22A and a second light source 22B, but is not limited thereto.

The computer system 30 centrally controls the operation of the evaluation device 100. Computer system 30 includes an arithmetic processing unit 30A and a storage device 30B. The arithmetic processing device 30A includes a microprocessor such as a CPU (central processing unit). The storage device 30B includes memory or storage such as ROM (read only memory) and RAM (random access memory). The arithmetic processing device 30A performs arithmetic processing according to the computer program 30C stored in the storage device 30B.

Output device 40 includes a display device such as a flat panel display. Note that the output device 40 may include a printing device. The input device 50 generates input data when operated. Input device 50 includes a keyboard or mouse for a computer system. Note that the input device 50 may include a touch sensor provided on the display section of the output device 40, which is a display device.

In the evaluation device 100 according to this embodiment, the display device 10 and the computer system 30 are separate devices. Note that the display device 10 and the computer system 30 may be integrated. For example, evaluation device 100 may include a tablet personal computer. In this case, the tablet personal computer may be equipped with a display device, an image acquisition device, a computer system, an input device, an output device, and the like.

FIG. 4 is a functional block diagram showing an example of the evaluation device 100. As shown in FIG. 4, the computer system 30 includes a display control section 31, a gaze point detection section 32, an area setting section 33, a determination section 34, a calculation section 35, an evaluation section 36, and an input/output control section. 37 and a storage section 38. The functions of the computer system 30 are performed by an arithmetic processing unit 30A and a storage device 30B (see FIG. 3). Note that some functions of the computer system 30 may be provided outside the evaluation device 100.

The display control unit 31 displays the evaluation image on the display unit 11. In this embodiment, the evaluation image is an image showing the object to be displayed to the subject. Specifically, the display control unit 31 displays the target object to be gazed at by the subject on the display unit 11, and changes the display position of the target object on the display unit 11 at predetermined time intervals. The display control unit 31 also performs a first display operation in which the subject M3 is displayed on the display unit 11 and moved along a predetermined movement route, and a predetermined display operation in which the target object M3 is displayed in the middle of the first display operation. A non-display operation to hide the display for a period of time, and after the non-display operation, the object M3 is returned to the position where it would have been moved for a predetermined period of time along the movement route continuously from the first display operation in the non-display operation. A second display operation of displaying the image and moving it along the movement route is performed. The display control unit 31 can display the above evaluation image on the display unit 11 as a moving image, for example, but the display format is not limited to a moving image and may be a still image.

The gaze point detection unit 32 detects position data of the subject's gaze point. In the present embodiment, the gaze point detection unit 32 detects the subject's gaze vector defined in a three-dimensional global coordinate system based on image data of the subject's left and right eyeballs EB acquired by the image acquisition device 20. The gaze point detection unit 32 detects position data of the intersection of the detected visual line vector of the subject and the display unit 11 of the display device 10 as position data of the subject's gaze point. That is, in this embodiment, the position data of the gaze point is the position data of the intersection of the subject's line of sight vector defined in the three-dimensional global coordinate system and the display unit 11 of the display device 10. The gaze point detection unit 32 detects position data of the subject's gaze point at every prescribed sampling period. This sampling period can be, for example, the period of the frame synchronization signal output from the photographing device 21 (for example, every 20 [msec]).

The area setting unit 33 sets a determination area in a part of the evaluation image on the display unit 11. Specifically, the area setting unit 33 sets a determination area corresponding to the target object on the display unit. In this embodiment, the determination area set by the area setting section 33 is not displayed on the display section 11 in principle. Note that the determination area may be displayed on the display section 11 under the control of the display control section 31, for example.

The determination unit 34 determines whether or not the gaze point exists in the determination area based on the position data of the gaze point, and outputs the determination result as determination data. The determination unit 34 determines whether or not the gaze point exists in the determination area at each prescribed determination period. The determination period can be, for example, the period of the frame synchronization signal output from the photographing device 21 (for example, every 20 [msec]). That is, the determination period of the determination section 34 is the same as the sampling period of the gaze point detection section 32. The determining unit 34 makes a determination regarding the point of interest every time the position of the point of interest is sampled by the point of interest detecting unit 32, and outputs determination data. When a plurality of determination areas are set, the determination unit 34 can determine whether or not a gaze point exists for each determination area and output determination data.

Based on the determination data of the determination unit 34, the calculation unit 35 calculates point-of-gaze data when the point of gaze exists within the determination area during the period in which the determination area is set. The calculation unit 35 calculates, for example, existence time data as the gaze point data. The existence time data indicates the existence time that the gaze point existed in the determination area during the event display period. The calculation unit 35 includes a timer 1 that detects the elapsed time after the gaze detection unit 32 starts detecting the gaze point, and a reaction time from the time when the display position of the object is switched until gazing at the new target. and a counter that counts the number of times the determination unit 34 determines that the gaze point exists in the determination area.

The evaluation unit 36 obtains evaluation data of the subject based on the progress of movement of the gaze point. The evaluation data includes data for evaluating whether or not the subject can quickly react to changes in the position of the object displayed on the display unit 11.

The input/output control unit 37 acquires data (image data of the eyeball EB, input data, etc.) from at least one of the image acquisition device 20 and the input device 50. Further, the input/output control unit 37 outputs data to at least one of the display device 10 and the output device 40. The input/output control unit 37 may output the task for the subject from an output device 40 such as a speaker.

The storage unit 38 stores the above-mentioned determination data, gaze point data (arrival time data, existence time data), and evaluation data.

Next, an evaluation method according to this embodiment will be explained. First, a case will be described in which evaluation data for evaluating a driver's reaction speed is obtained by using the evaluation device 100 described above.

5 and 6 are diagrams showing examples of evaluation images displayed on the display unit 11. As shown in FIG. 5, the display control unit 31 displays on the display unit 11 the object M1 that the subject is to gaze at. Although FIG. 5 exemplifies the case where the object M1 is displayed at the position P1 in the center of the display unit 11, the object M1 is not limited to this, and may be displayed at other positions. Further, the target object M1 is, for example, circular, but is not limited to this, and may have other shapes such as a polygon or an ellipse. Moreover, the target object M1 is not limited to a geometric shape, and may be an image of an animal, a person, an article, or the like.

The area setting unit 33 sets a determination area A1 corresponding to the target object M1. The area setting unit 33 can set the determination area A1 in an area that includes at least a portion of the target object M1. In the present embodiment, the area setting unit 33 sets the determination area A1 as a circular area surrounding the entire object M1, but the determination area A1 is not limited to this. The region setting unit 33 may set the determination region in another shape such as a polygon or an ellipse, or may set the determination region in a part of the object M1. Note that the determination area A1 is not actually displayed on the display unit 11.

After displaying the object M1 on the display section 11 for a predetermined period of time, the display control section 31 changes the display position of the object M1 on the display section 11. After displaying the target object M1 for a predetermined period of time, the display control unit 31 hides the target object M1, and displays the target object M1 at a position P2, which is away from the position P1 in the upper left direction in the figure, for example, as shown in FIG. Display object M1. This operation allows the subject to perceive that the object M1 has momentarily moved from the position P1 to the position P2. The display control unit 31 makes the distance between the position P1 and the position P2 where the target object M1 is displayed be a predetermined value or more. Thereafter, similarly to the above, the display control unit 31 displays the target object M1 on the display unit 11 for a predetermined period of time, then hides the target object M1 and displays the target object M1 at a different position.

When the display position of the target object M1 is changed, the area setting unit 33 sets a determination area corresponding to the target object M1 after the display position has been changed. In the example shown in FIGS. 5 and 6, when the target object M1 is hidden, the area setting unit 33 cancels the setting of the determination area A1 set for the target object M1. Further, the area setting unit 33 sets a determination area A2 corresponding to the target object M1 to be newly displayed. The area setting unit 33 can set the determination area A2 in an area that includes at least a portion of the target object M1. In this embodiment, the area setting unit 33 sets the determination area A2 as a circular area that surrounds the entire object M1, as before changing the display position, but is not limited to this, and is not limited to a polygon, The determination area may be set in another shape, such as an ellipse, or may be set in a part of the object M1. Further, the area setting unit 33 may set a determination area having a different shape and size from before the display position is changed. Note that the determination area A2 is not actually displayed on the display unit 11.

The gaze point detection unit 32 detects the position of the subject's gaze point at every prescribed sampling period (for example, 20 [msec]) during the period in which the evaluation image is displayed. When the position of the subject's gaze point is detected, the determination unit 34 determines whether the subject's gaze point exists in the determination areas A1 and A2, and outputs determination data. Therefore, the determination unit 34 outputs determination data every time the position of the gaze point is sampled by the gaze point detection unit 32, and at the same determination cycle as the sampling cycle described above.

Based on the determination data, the calculation unit 35 calculates point-of-gaze data when the gaze point exists within the determination areas A1, A2 during the period in which the determination areas A1, A2 are set. The calculation unit 35 calculates, for example, reaction time data as the gaze point data.

The reaction time data indicates a reaction time that is the time from the start of display of the new target object M1 to the arrival time when the gaze point first reaches the determination areas A1 and A2. Therefore, the calculation unit 35 measures the elapsed time from the start of display of the new object M1 using the timer 2, and detects the measured value of the timer 2 when the gaze point first reaches the determination areas A1 and A2. Then, the detection result of the timer 2 can be used as reaction time data.

The evaluation unit 36 obtains an evaluation value based on the reaction time data, and obtains evaluation data based on the evaluation value. The evaluation unit 36 can determine whether the subject gazed at the object M1 based on the reaction time data, and can evaluate the reaction speed based on the determination result. For example, the display position of the target object M1 is changed multiple times to detect the gaze point. The evaluation unit 36 can evaluate that the test subject's reaction speed is fast when the average value of reaction times in the reaction time data obtained for each display position is less than or equal to a predetermined threshold. Further, the evaluation unit 36 can evaluate that the test subject's reaction speed is not fast if the average value of reaction times in the reaction time data obtained for each display position exceeds a predetermined threshold. The evaluation unit 36 is not limited to such two-stage evaluation, and may evaluate the reaction speed in multiple stages, for example, by setting reaction time thresholds in multiple stages.

Next, an example of an evaluation method for obtaining evaluation data for evaluating a driver's reaction speed will be described with reference to FIG. 7. FIG. 7 is a flowchart illustrating an example of the evaluation method according to this embodiment. In the evaluation method according to the present embodiment, as shown in FIG. 7, the point of interest detection unit 32 first starts detecting a point of interest (step S201). Furthermore, the calculation unit 35 resets the timer 1 that detects the elapsed time (step S202). The calculation unit 35 starts evaluating n=1, that is, the first object M1 (step S203).

The calculation unit 35 resets the timer 2 that detects the reaction time (step S204). Thereafter, the display control section 31 displays the evaluation image on the display section 11. As a result, the target object M1 is displayed on the display unit 11 (step S205). In step S205, the area setting unit 33 sets the determination area A1 in the area corresponding to the target object M1.

After that, the determination unit 34 determines whether the gaze point exists within the determination area A1, that is, whether the subject was able to gaze at the target object M1 (step S206). If it is determined in step S206 that the target object M1 cannot be gazed at (No in step S206), the calculation unit 35 determines whether the display time (certain time period) of the target object M1 has elapsed based on the detection result of the timer 1. is determined (step S207). If it is determined that the display time has not elapsed (No in step S207), the processes from step S206 onwards are repeated.

If it is determined in step S206 that the target object M1 could be gazed upon (Yes in step S206), or if it is determined in step S207 that a certain period of time has elapsed (Yes in step S207), the calculation unit 35 Based on the detection result of timer 2 at the time point, reaction time data is calculated (step S208). The calculation unit 35 causes the storage unit 38 to store the calculated reaction time data. Note that the detection result of the timer 2 obtained through the Yes flow in step S207 is a detection result that the target object M1 cannot be visually recognized even after a certain period of time has elapsed.

After that, the display control unit 31 hides the target object M1 (step S209). The calculation unit 35 determines whether or not the specified number of times the display position of the target object M1 has been changed has ended (step S210), and if it is determined that the number of times the display position of the target object M1 has not been changed (No in step S210), n= Detection is performed for n+1, that is, the next target object (step S211). In this case, the processes from step S204 onwards are repeated.

On the other hand, if it is determined in step S210 that the specified number of times the display position has been changed has ended (Yes in step S210), the evaluation unit 36 evaluates the driver's reaction speed based on the reaction time data (step S212). ).

In the above embodiment, an example was explained in which the test subject's visual reaction speed was evaluated, but the method is not limited to this method, and the reaction speed may be evaluated using a different method. For example, a method may be used in which a touch panel is used as the display unit that displays the evaluation image, and the reaction speed is evaluated by having the subject touch the object with a finger or the like. Alternatively, the reaction speed may be evaluated by having the subject press a button with his/her foot in response to the display of the target object.

Next, a case will be described in which evaluation data for evaluating the tracking ability and position prediction ability of the driver is obtained by using the evaluation device 100 described above. FIG. 8 is a diagram showing another example of the evaluation image displayed on the display unit 11. FIG. 8 shows the progress of movement of the object M3 in one diagram. As shown in FIG. 8, the display control unit 31 performs a first display operation in which the object M3 to be gazed at by the subject is displayed on the display unit 11 and moved along a predetermined movement route, and A non-display operation that hides the target object M3 for a predetermined period of time, and after the non-display operation, a position where the target object M3 moves for a predetermined period of time continuously from the first display operation in the non-display operation. A second display operation of displaying the object M3 again and moving it along the movement route is performed.

The display control unit 31 displays, for example, a circular object as the object M3. Note that the object M3 is, for example, circular, but is not limited to this, and may have other shapes such as a polygon or an ellipse. Further, the object M3 is not limited to a geometric shape, and may be an image of an animal, a person, an article, or the like.

In the first display operation, the display control unit 31 moves the object M3 along a circular movement route R3 as a predetermined movement route. The display control unit 31 moves the target object M3, for example, at a constant speed. Note that the display control unit 31 is not limited to moving the target object M3 at a constant speed, but may accelerate or decelerate it at a predetermined acceleration. In the first display operation, it can be determined whether or not the subject can move the point of gaze to follow the object M3.

Further, in the first display operation, the area setting section 33 sets a determination area A3 corresponding to the object M3 moving on the movement route R3 on the display section 11. The area setting unit 33 can set the determination area A3 in an area that includes at least a portion of the target object M3. In the present embodiment, the area setting unit 33 sets the determination area A3 as a circular area surrounding the entire object M3, but the invention is not limited to this. The region setting unit 33 may set the determination region in another shape such as a polygon or an ellipse, or may set the determination region in a part of the object M3. When the target object M3 moves along the movement route R3, the area setting unit 33 moves the determination area A3 to follow the target object M3. Thereby, the relative positional relationship between the target object M3 and the determination area A3 is maintained constant.

In the non-display operation, the display control unit 31 can hide the object M3 moving on the movement route R3 at any timing. Note that the display control unit 31 may previously set the timing at which the target object M3 is hidden. By performing the non-display operation, the object M3 disappears from the display section 11 at the position R3a on the moving route R3.

Further, in the non-display operation, the area setting unit 33 can set the determination area A3 at the virtual position R3b of the object M3 assuming that the object M3 continues to move along the movement route R3 from the first display operation. That is, even when the target object M3 is not displayed on the display unit 11, the area setting unit 33 continues to move the determination area A3 along the moving route R3 along which the target object M3 moves. In the non-display operation, it is possible to determine whether or not the subject can predict the movement path of the object M3 and move the gaze point.

The display control unit 31 displays the target object M3 again in the second display operation. The display control unit 31 sets the display position R3c at which the target object M3 is to be redisplayed as follows. That is, the display control unit 31 calculates the virtual position when the target object M3 moves for a predetermined period of time following the movement route R3 continuously from the first display operation in the non-display operation. In the present embodiment, in the first display operation, the radius of the movement path R3 of the object M3 is a circumference of a predetermined value, and the object M3 is moving at a constant speed for a predetermined period of time. The display control unit 31 calculates the virtual position based on these conditions. Thereafter, the object M3 is displayed at the virtual position R3c.

Furthermore, in the second display operation, the area setting unit 33 sets a determination area A3 corresponding to the object M3 moving on the movement route R3 on the display unit 11, as in the first display operation. When the target object M3 moves along the movement route R3, the area setting unit 33 moves the determination area A3 to follow the target object M3. Thereby, the relative positional relationship between the target object M3 and the determination area A3 is maintained constant.

Note that the moving route of the object is not limited to the circular moving route R3. FIG. 9 is a diagram showing another example of the evaluation image displayed on the display unit 11. As shown in FIG. 9, when the target object M4 moves at a constant speed along a linear movement path R4 as a predetermined movement path and reaches the outer frame of the display unit 11, it is repulsed by the outer frame. The moving route R4 can be set as a moving route R4 in which the user moves so as to change direction.

In this case, the display control unit 31 performs a first display operation in which the subject M4 is displayed on the display unit 11 and is moved along the movement route R4, and an intermediate display operation (route R4a: FIG. (indicated by a broken line), the object M4 is hidden for a predetermined period of time, and after the non-display operation, the object M4 is continuously moved along the movement route from the first display operation in the non-display operation for a predetermined period of time. A second display operation of displaying the object M4 again at the position R4b where it was moved and moving it along the movement route can be performed.

In the first display operation and the second display operation, the area setting unit 33 sets a determination area A4 on the display unit 11 corresponding to the object M4 moving on the movement route R4. When the target object M4 moves along the movement route R4, the area setting unit 33 moves the determination area A4 to follow the target object M4. Thereby, the relative positional relationship between the target object M4 and the determination area A4 is maintained constant. Furthermore, in the non-display operation, the area setting unit 33 can set the determination area A4 at the virtual position R4c of the object M4 assuming that the object M4 continues to move along the movement route R4 from the first display operation.

The gaze point detection unit 32 detects the position of the subject's gaze point at every prescribed sampling period (for example, 20 [msec]) during the period in which the evaluation image is displayed. When the position of the subject's gaze point is detected, the determining unit 34 determines whether the subject's gaze point exists in the determination areas A3 and A4, and outputs determination data. Therefore, the determination unit 34 outputs determination data every time the position of the gaze point is sampled by the gaze point detection unit 32, and at the same determination cycle as the sampling cycle described above.

Based on the determination data, the calculation unit 35 calculates point-of-gaze data when the point of gaze exists within the determination areas A3, A4 during the period in which the determination areas A3, A4 are set. The calculation unit 35 calculates, for example, existence time data as the gaze point data.

The existence time data indicates the existence time that the gaze point existed in the determination areas A3 and A4. In this embodiment, it can be estimated that the more times the determination unit 34 determines that the gaze point exists in the determination areas A3 and A4, the longer the existence time that the gaze point existed in the determination areas A3 and A4. Therefore, the presence time data can be the number of times the determination unit 34 has determined that the gaze point exists in the determination areas A3 and A4. That is, the calculation unit 35 can use the count values CNTA3 and CNTA4 in the counter as existence time data. Note that the count value CNTA3 is the number of times it has been determined that the gaze point exists in the determination area A3. Further, the count value CNTA4 is the number of times it has been determined that the gaze point exists in the determination area A4.

The evaluation unit 36 obtains an evaluation value based on the existence time data, and obtains evaluation data based on the evaluation value. The evaluation unit 36 can determine whether the subject has gazed at the object M3 based on the existence time data, and can evaluate the driver's tracking ability and position prediction ability based on the determination result. For example, the evaluation unit 36 determines that the subject was able to sufficiently track and predict the position of the target object M3 when the existence time in the existence time data is equal to or longer than a predetermined time. Furthermore, the evaluation unit 36 determines that the subject was unable to sufficiently track and predict the position of the target object M3 when the existence time in the existence time data is less than a predetermined time. For example, when it is determined that the tracking ability and position prediction ability of the target object M3 have been sufficiently performed, the evaluation unit 36 can evaluate that the driver's tracking ability and position prediction ability are high. Further, for example, when it is determined that the subject was unable to sufficiently track and predict the position of the object M3, the evaluation unit 36 can evaluate that the driver's tracking ability and position prediction ability are not high. The evaluation unit 36 is not limited to such a two-stage evaluation, but evaluates the driver's tracking ability in multiple stages, for example, by setting a multi-stage threshold for the number of times it is determined that the subject has gazed at the object M3. and position prediction ability may be evaluated.

Next, an example of an evaluation method for obtaining evaluation data for evaluating the driver's tracking ability and position prediction ability will be described with reference to FIG. 10. As shown in FIG. 10, first, the gaze point detection unit 32 starts detecting a gaze point (step S301). Furthermore, the calculation unit 35 resets the timer 1 that detects the elapsed time (step S302). The calculation unit 35 starts evaluating n=1, that is, the first operation (step S303).

The display control unit 31 displays the evaluation image on the display unit 11. The display control unit 31 performs a first display operation of displaying the target object M3 on the display unit 11 and moving the target object M3 along the movement route R3 (step S304). In step S304, the area setting unit 33 moves the determination area A3 to follow the target object M3. Further, the display control unit 31 performs a non-display operation to hide the target object M3 for a predetermined period of time (step S305). In step S305, the area setting unit 33 sets the determination area A3 at the virtual position of the object M3 assuming that the object M3 continues to move along the movement route R3 after the first display operation. After the non-display operation, the display control unit 31 displays and moves the target object M3 again at the position when the target object M3 continuously moves for a predetermined period along the movement route from the first display operation in the non-display operation. A second display operation of moving along the route is performed (step S306). In step S306, the area setting unit 33 moves the determination area A3 to follow the target object M3. While performing steps S304 to S306, the determination unit 34 determines whether the gaze point exists within the determination area A3. The calculation unit 35 calculates existence time data based on the determination result.

The calculation unit 35 determines whether or not the operations from step S304 to step S306 have been performed a specified number of times (step S307), and when it is determined that the operations have not been performed (No in step S307), n=n+1, that is, the first The display operation, non-display operation, and second display operation are performed again (step S308). In this case, the processing from step S304 onwards is repeated. On the other hand, if it is determined in step S307 that the operations from step S304 to step S306 have been performed a specified number of times (Yes in step S307), the evaluation unit 36 evaluates the driver's tracking ability and position prediction ability based on the presence time data. Evaluate (step S309).

As described above, the driving support device 1 according to the present embodiment includes the driver identification unit 2 that identifies the driver who drives the vehicle, and the evaluation data acquisition unit 5 that acquires evaluation data for evaluating the reaction speed of the driver. an event detection unit 6 that detects whether an event has occurred while driving the vehicle based on surrounding information data indicating the surrounding situation of the vehicle; The processing unit 7 determines whether or not to output notification information from the output unit 9 and causes the output unit 9 to output the notification information when it is determined to output the notification information.

The driving support method according to the present embodiment is based on identifying the driver who drives the vehicle, acquiring evaluation data for evaluating the reaction speed of the driver, and surrounding information data indicating the situation around the vehicle. Detecting whether or not an event has occurred while driving the vehicle; and if an event is detected, determining whether or not to output notification information from the output unit 9 based on the driver's evaluation data; If it is determined that the information should be output, this includes causing the output unit 9 to output the notification information.

The driving support program according to the present embodiment includes a process for identifying a driver who drives a vehicle, a process for acquiring evaluation data for evaluating the driver's reaction speed, and a process based on peripheral information data indicating the situation around the vehicle. The process detects whether or not an event has occurred while driving the vehicle, and when an event is detected, it is determined whether or not to output notification information from the output unit 9 based on the driver's evaluation data, and the notification is performed. If it is determined that the information should be output, the computer is caused to execute a process of causing the output unit 9 to output the notification information.

According to the present embodiment, when an event occurs while driving a vehicle, it is determined whether or not to output notification information to the driver based on evaluation data that evaluates the driver's reaction speed to the event. Therefore, it is possible to suppress the output of notification information every time an event occurs, and to provide driving support according to the driver's reaction speed.

In the driving support device 1 according to the present embodiment, the evaluation data is visually evaluated reaction speed. With this configuration, it is possible to provide driving support according to the driver's visual reaction speed.

The driving support device 1 according to the present embodiment further includes a storage unit 8 that stores acquired evaluation data, and the processing unit 7 makes a determination using the evaluation data stored in the storage unit 8. With this configuration, processing in the processing section 7 can be performed efficiently and quickly.

In the driving support device 1 according to the present embodiment, the processing unit 7 adjusts the time from when an event is detected until the notification information is output based on evaluation data. Thereby, the time can be adjusted according to the driver's reaction speed, so driving support can be provided according to the driver's reaction speed.

The driving support device 1 according to the present embodiment further includes a driver data acquisition unit 4 that acquires driver data including the driver's line of sight, and a processing unit 7 that uses the driver data to determine the driver's reaction to an event. The speed is calculated, and the judgment and output of notification information are adjusted based on the comparison between the calculation result and the evaluation data. Thereby, it is possible to output determination and notification information according to the driving state of the driver.

The driving support device 1 according to the present embodiment further includes a driving situation acquisition unit 3 that acquires driving situation data indicating the driving situation of the vehicle, and the processing unit 7 makes a determination based on the evaluation data and the driving situation data. With this configuration, it is possible to provide driving assistance in accordance with the driving situation of the vehicle acquired from the driving situation data.

The evaluation device 100 according to the present embodiment includes a display unit 11, a gaze point detection unit 32 that detects the position of the subject's gaze point on the display unit 11, and displays an object to be gazed at by the subject on the display unit 11, A display control unit 31 that changes the display position of the object on the display unit 11 at predetermined time intervals, an area setting unit 33 that sets a determination area corresponding to the object on the display unit 11, and a , a determination unit 34 that determines whether or not the gaze point exists in the determination area; a calculation unit 35 that calculates gaze point data based on the determination result of the determination unit 34; and an evaluation section 36 that obtains evaluation data. Thereby, evaluation data regarding the driver's reaction speed can be acquired with high accuracy.

The driving support device 1 according to the present embodiment also includes a driver identification unit 2 that identifies a driver who drives a vehicle, and an evaluation data acquisition unit that acquires evaluation data that evaluates the tracking ability and position prediction ability of the driver. 5, an event detection section 6 that detects whether an event has occurred while driving the vehicle based on peripheral information data indicating the surrounding situation of the vehicle; It is provided with a processing section 7 that determines whether or not to output notification information from the output section 9 based on the information, and causes the output section 9 to output the notification information when it is determined to output the notification information.

The driving support method according to the present embodiment includes identifying the driver driving the vehicle, acquiring evaluation data for evaluating the driver's tracking ability and position prediction ability, and indicating the surrounding situation of the vehicle. Detecting whether an event has occurred during vehicle operation based on surrounding information data, and determining whether to output notification information from the output unit 9 based on driver evaluation data when an event is detected. If it is determined that the notification information should be output, the output section 9 may output the notification information.

The driving support program according to the present embodiment includes a process for identifying a driver who drives a vehicle, a process for acquiring evaluation data for evaluating the driver's tracking ability and position prediction ability, and a process for indicating the surrounding situation of the vehicle. A process for detecting whether an event has occurred during vehicle operation based on surrounding information data, and whether to output notification information from the output unit 9 based on driver evaluation data when an event is detected. If it is determined that the notification information should be outputted, the computer is caused to execute a process of causing the output unit 9 to output the notification information.

According to the present embodiment, when an event occurs while driving a vehicle, notification information is output to the driver based on evaluation data that evaluates the driver's tracking ability and position prediction ability for the event. In order to determine whether or not the event occurs, it is possible to suppress the output of notification information every time an event occurs, and to provide driving support according to the evaluation of the driver's tracking ability and position prediction ability.

The evaluation device 100 according to the present embodiment includes a display unit 11, a gaze point detection unit 32 that detects the position of the subject's gaze point on the display unit 11, and a display unit 11 that displays an object to be gazed at by the subject. A first display operation in which the object is moved along a predetermined movement route, a non-display operation in which the object is hidden for a predetermined period in the middle of the first display operation, and a first display operation in which the object is hidden in the non-display operation after the non-display operation. a display control unit 31 that performs a second display operation of displaying the object again at the position where the object was moved for a predetermined period of time along the movement route after the first display operation and moving the object along the movement route; An area setting unit 33 that sets a determination area corresponding to an object moving along a route on the display unit 11; and a determination unit that determines whether or not the gaze point exists in the determination area based on the position data of the gaze point. 34, an arithmetic unit 35 that calculates gaze point data based on the determination result of the determination unit 34, and an evaluation unit 36 that calculates evaluation data of the subject based on the gaze point data. Thereby, evaluation data regarding the driver's tracking ability and position prediction ability can be acquired with high accuracy.

The technical scope of the present invention is not limited to the above embodiments, and changes can be made as appropriate without departing from the spirit of the present invention.

A1, A2, A3, A4...judgment area, M1, M3, M4...object, P1, P2, R4b...position, R3, R4...movement route, R3b, R3c, R4c...virtual position, 1...driving support device, 2... Driver identification section, 3... Driving situation acquisition section, 4... Driver data acquisition section, 5... Evaluation data acquisition section, 6... Event detection section, 7... Processing section, 8, 38... Storage section, 9... Output Part, 9a...Audio output device, 9b, 10...Display device, 9c...Vibration generator, 11...Display unit, 20...Image acquisition device, 21...Photographing device, 21A...First camera, 21B...Second camera, 22 ...Illuminating device, 22A...First light source, 22B...Second light source, 30...Computer system, 30A...Arithmetic processing unit, 30B...Storage device, 30C...Computer program, 31...Display control unit, 32...Point of gaze detection unit, Line of sight detection unit, 33... Area setting unit, 34... Judgment unit, 35... Calculation unit, 36... Evaluation unit, 37... Input/output control unit, 40... Output device, 50... Input device, 60... Input/output interface device, 100 …Evaluation device

Claims (5)

A display section;
a gaze point detection unit that detects the position of the subject's gaze point on the display unit;
a first display operation in which an object to be gazed at by the subject is displayed on the display section and moved along a predetermined movement route; and a non-display operation in which the object is hidden for a predetermined period in the middle of the first display operation. and, after the non-displaying operation, displaying the object again at the position where the object was moved for the predetermined period of time along the movement path continuously from the first displaying operation in the non-displaying operation. a display control unit that performs a second display operation of moving the display along the movement route;
an area setting unit that sets a determination area on the display unit that corresponds to the object moving along the movement route;
a determination unit that determines whether or not the gaze point exists in the determination area based on position data of the gaze point;
a calculation unit that calculates gaze point data based on the determination result of the determination unit;
An evaluation device comprising: an evaluation unit that obtains evaluation data of the subject based on the gaze point data. The display control unit moves the object at a constant speed along a circular movement path.
The evaluation device according to claim 1. The display control unit moves the target object at a constant speed along a linear movement path, and when the target object reaches an outer frame of the display unit, it repels at the outer frame and changes direction. move it so that
The evaluation device according to claim 1. The evaluation unit evaluates that the subject's tracking ability and position prediction ability are high if the time period during which the target object is displayed, the point of gaze exists in the determination area for a predetermined time or more,
The evaluation device according to any one of claims 1 to 3. a first display operation in which an object to be gazed at by the subject is displayed on the display section and moved along a predetermined movement route; and a non-display operation in which the object is hidden for a predetermined period in the middle of the first display operation. , after the non-display operation, displaying the object again at a position where the object was moved for the predetermined period of time continuously from the first display operation in the non-display operation along the movement path; a second display operation of moving along the movement route;
let them do it;
setting a determination area corresponding to the object moving along the movement route on the display unit;
detecting the position of the subject's gaze point on the display section;
determining whether the point of interest exists in the determination area based on position data of the point of interest;
An evaluation method that obtains evaluation data of the subject based on gaze point data calculated based on the determination result.