Cognitive load testing method, device and vehicle

Abstract

The present application relates to a kind of cognitive load test method, device and vehicle, the cognitive load test method by pre-setting multiple test tasks, including driving main task, driving secondary task and detection reaction task, respectively the first task index of executing driving main task and the second task index of executing detection reaction task are obtained, driving secondary task is executed while executing driving main task, the third task index of executing driving secondary task is obtained, the first task index, the second task index and the third task index are input to preset evaluation model, determine the first test threshold of driving recognition cognitive load.The embodiment of the present application is by setting multiple driving test tasks, the task index of each test task is obtained by executing test task, the degree of cognitive load that driver is brought by vehicle-mounted display screen is scientifically and quantitatively evaluated using preset evaluation model, accurate, meticulous cognitive load test is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent driving, in particular to a cognitive load test method, device and vehicle. BACKGROUND

[0002] With the development of Internet of Vehicles technology, the intelligentization of human-vehicle interaction and the automation of vehicle driving have become the core elements of the development and innovation of intelligent networked vehicles. More and more intelligent networked products, such as vehicle navigation, AR_HUD, and multi-modal interaction design, are applied to vehicles, becoming important factors affecting the user's intelligent networked service experience. Intelligent networked products provide drivers and passengers with a more rich driving experience, but at the same time, they also bring more potential safety risks.

[0003] The existing technology mainly calculates the maximum cognitive load level that a driver can bear according to the objective indicators of the driver during driving. However, this cognitive load level determined by collecting the driver's state information during driving is affected by many interference factors, and cannot provide objective and accurate evaluation, i.e., it cannot accurately evaluate the cognitive load of the driver on the interactive interface in ordinary driving road scenarios. When various types of good and bad vehicle-mounted devices and their interactive interfaces increase the cognitive load of the driver, it is increasingly necessary to accurately detect and quantify the cognitive load of the driver caused by these devices. SUMMARY

[0004] One of the purposes of the present application is to provide a cognitive load test method to solve the problem that the existing technology is affected by many interference factors and cannot objectively and accurately evaluate the cognitive load of the driver on the interactive interface. The second purpose is to provide a cognitive load test device. The third purpose is to provide a vehicle.

[0005] To achieve the above purposes, the technical solutions adopted by the present application are as follows:

[0006] The first aspect of the present application provides a cognitive load test method, which comprises:

[0007] Pre-set a plurality of test tasks, wherein the plurality of test tasks include a driving main task, a driving secondary task, and a detection reaction task;

[0008] Obtain a first task index for executing the driving main task and a second task index for executing the detection reaction task;

[0009] Execute the driving secondary task while executing the driving main task, and obtain a third task index for executing the driving secondary task;

[0010] Input the first task index, the second task index, and the third task index into a pre-set evaluation model to determine a first test threshold of the cognitive load of the driver.

[0011] Optionally, the obtaining of a first task indicator for respectively performing the driving main task and a second task indicator for performing the detection and response task includes:

[0012] Execute the main driving tasks pre-set on the driving simulator;

[0013] Acquiring a first task indicator for executing the driving main task, wherein the first task indicator includes a driving parameter of the driver;

[0014] When it is detected that the driver arrives at a preset road section, executing the detection and response task based on a preset distance interval;

[0015] A second task indicator for executing the detection and response task is obtained.

[0016] Optionally, performing the driving secondary task while performing the driving primary task and obtaining a third task indicator for performing the driving secondary task includes:

[0017] While executing the driving primary task, executing the driving secondary task at a first preset time interval;

[0018] A third task indicator for executing the driving sub-task is obtained, wherein the driving sub-task is predetermined based on interface information on the vehicle-mounted central control screen.

[0019] Optionally, performing the driving secondary task while performing the driving primary task and obtaining a third task indicator for performing the driving secondary task includes:

[0020] Prompt the driver to start the test;

[0021] Executing the driving sub-task at a first preset time interval;

[0022] A test screen is displayed on the vehicle-mounted central control screen, and a third task indicator for executing the driving sub-task is obtained, wherein the third task indicator includes reaction time and coordinates of clicking the test screen.

[0023] Optionally, after executing the driving primary task and executing the driving secondary task simultaneously and obtaining a third task indicator for executing the driving secondary task, the method further includes:

[0024] Collecting real-time status data of the driver performing the plurality of test tasks;

[0025] The real-time status data and the first task indicator, the second task indicator, and the third task indicator are input into a preset evaluation model to determine a second test threshold of the driver's cognitive load.

[0026] Optionally, after the first task indicator, the second task indicator and the third task indicator are input to the preset evaluation model to determine the first test threshold of the cognitive load of the driver, the method further comprises:

[0027] Obtaining task materials for making a vehicle-mounted central control screen interface;

[0028] According to the first test threshold of the cognitive load of the driver, determining the information amount and arrangement mode of the task materials.

[0029] In a second aspect, the present application provides a cognitive load testing device, which comprises:

[0030] A task setting module is configured to pre-set a plurality of test tasks, wherein the plurality of test tasks comprise a driving main task, a driving secondary task and a detection reaction task;

[0031] A first obtaining module is configured to obtain a first task indicator for executing the driving main task and a second task indicator for executing the detection reaction task;

[0032] A second obtaining module is configured to execute the driving secondary task while executing the driving main task, and obtain a third task indicator for executing the driving secondary task;

[0033] A cognitive load determining module is configured to input the first task indicator, the second task indicator and the third task indicator to a preset evaluation model, and determine a first test threshold of the cognitive load of the driver.

[0034] Optionally, the first obtaining module comprises:

[0035] A first task executing submodule is configured to execute a pre-set driving main task on a driving simulator;

[0036] A first obtaining submodule is configured to obtain a first task indicator for executing the driving main task, wherein the first task indicator comprises a driving parameter of the driver;

[0037] A second task executing submodule is configured to execute the detection reaction task based on a preset distance interval when detecting that the driver reaches a preset road section;

[0038] A second obtaining submodule is configured to obtain a second task indicator for executing the detection reaction task.

[0039] Optionally, the second obtaining module comprises:

[0040] A third task executing submodule is configured to execute the driving secondary task according to a first preset time interval while executing the driving main task;

[0041] The third acquisition submodule is used to obtain a third task indicator for executing the driving sub-task, wherein the driving sub-task is predetermined based on the interface information on the vehicle-mounted central control screen.

[0042] Optionally, the second acquisition module includes:

[0043] A prompting submodule, used to prompt the driver to start the test;

[0044] a fourth task execution submodule, configured to execute the driving sub-task according to a first preset time interval;

[0045] The fourth acquisition submodule is used to display the test screen on the vehicle-mounted central control screen and obtain the third task indicator for executing the driving sub-task, wherein the third task indicator includes the reaction time and the coordinates of clicking the test screen.

[0046] Optionally, the device further includes:

[0047] A data collection module, configured to collect real-time status data of the driver performing the plurality of test tasks;

[0048] The second cognitive load determination module is used to input the real-time status data and the first task indicator, the second task indicator and the third task indicator into a preset evaluation model to determine a second test threshold of the driver's cognitive load.

[0049] Optionally, the device further comprises:

[0050] The material acquisition module is used to obtain task materials for making the in-vehicle central control screen interface;

[0051] The material determination module is used to determine the information volume and arrangement of the task materials according to the first test threshold of the driver's cognitive load.

[0052] A third aspect of the present invention provides a vehicle, comprising the cognitive load testing device as described above, to implement the operating system installation method as described in the first aspect.

[0053] Beneficial effects of the present invention:

[0054] The cognitive load test method provided by the embodiment of the present application sets multiple test tasks in advance, including a driving main task, a driving secondary task and a detection reaction task, acquires a first task index of performing the driving main task and a second task index of performing the detection reaction task, performs the driving secondary task while performing the driving main task, acquires a third task index of performing the driving secondary task, inputs the first task index, the second task index and the third task index into a preset evaluation model, and determines a first test threshold of the cognitive load of the driver. The embodiment of the present application sets multiple driving test tasks, performs the test tasks crosswise or progressively in the driving test process of the driver, acquires the task indexes of the test tasks, scientifically and quantitatively evaluates the cognitive load degree of the driver brought by the vehicle-mounted display screen by using the preset evaluation model, realizes accurate and detailed cognitive load test, so as to take the test threshold of the cognitive load of the driver as a standard, provide a design reference for the designer of the vehicle-mounted display screen, thereby reducing the problem of too high cognitive load of the user in the vehicle driving process due to the too complex vehicle-mounted display screen, reducing the risk of traffic accidents of the user due to excessive attention to the instrument screen and neglect of the driving main task, and meanwhile, the method is also applicable to the cognitive load evaluation of other types of interfaces, and has strong practicability. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 is a step flowchart of a cognitive load test method provided by the embodiment of the present application;

[0056] Figure 2 is Figure 1 is a method flowchart of step 102 of the cognitive load test method provided by the embodiment of the present application in the method;

[0057] Figure 3 is Figure 1 is a method flowchart of step 103 of the cognitive load test method provided by the embodiment of the present application in the method;

[0058] Figure 4 is a step flowchart of a cognitive load test method provided by the embodiment of the present application;

[0059] Figure 5 is a step flowchart of a cognitive load test method provided by the embodiment of the present application;

[0060] Figure 6 is a test scene schematic diagram of a cognitive load test method provided by the embodiment of the present application;

[0061] Figure 7 is a schematic diagram of a driving secondary task in a cognitive load test method provided by the embodiment of the present application;

[0062] Figure 8is a schematic diagram of a cognitive load testing device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0063] Other advantages and effects of the present application can be easily understood by those skilled in the art from the above description of the embodiments of the present application. The present application can also be implemented or applied by other different specific embodiments, and the details in the description can be modified or changed based on different views and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, but not for limiting the protection scope of the present application.

[0064] Reference Figure 1 , one of step flowcharts of a cognitive load testing method provided by an embodiment of the present application is shown, and the method can include:

[0065] Step 101, a plurality of test tasks are pre-set, wherein the plurality of test tasks include a driving main task, a driving secondary task and a detection reaction task.

[0066] In the embodiment of the present application, in order to realize scientific and quantitative evaluation of the cognitive load degree of the vehicle-mounted display screen to the driver, and to provide a design reference for the designer of the vehicle-mounted display screen, the embodiment adopts experimental instruments such as a driving simulator, pre-sets a plurality of test tasks, so that the driver performs the test of the plurality of test tasks in the driving process, thereby obtaining sufficient task performance of different types of users in the test task process, and evaluating the cognitive load degree of the users. It should be noted that the test tasks are implemented according to actual conditions, such as speed limit driving tasks and following tasks, etc., which are used to count the driving performance of the users.

[0067] Specifically, according to the information presentation form and quantity of the central control screen of the vehicle, the experimental tasks are divided into three categories, the driving main task, the secondary task and the detection reaction task, the independent variable of the task is the within-subject variable, which is divided into interface type (list / icon / card) and interface information quantity; the dependent variable is the task index, which can include driving performance, secondary task performance and detection reaction task performance. The plurality of test tasks include the driving main task, the driving secondary task and the detection reaction task.

[0068] Specifically, the driving main task is preset on the driving simulator, and the driving main task requires the driver to drive on the main road at a speed of 55-60 km / h, and try to keep the high-speed driving within the speed limit range, if the speed is too fast, the voice prompt is "speed is too fast", if the speed is too low, the voice prompt is "speed is too slow"; the driving secondary task is also preset on the driving simulator, the driving secondary task requires the driver to find the icon and click the corresponding content as soon as possible according to the voice broadcast while completing the driving main task; the detection reaction task requires the driver to press the button on the driving simulator as soon as possible after finding the red circle in the field of view of the driving simulator, so that the simulation driving system can detect the button signal. Of course, the above numerical values are only used for illustration, and in actual application, the test task is set and implemented according to the actual situation, and the embodiment will not be described again.

[0069] In step 102, a first task index for performing the driving main task and a second task index for performing the detection reaction task are obtained.

[0070] In the embodiment of the application, the driving simulator obtains the first task index for performing the driving main task and the second task index for performing the detection reaction task. It should be noted that the driving main task and the driving secondary task can be performed synchronously, and the driver is required to find the icon and click the corresponding content as soon as possible according to the voice broadcast while completing the driving main task.

[0071] Specifically, the driving main task in the embodiment of the application is implemented according to the actual situation, for example, the speed limit driving task and the following task, and the driving performance of the user is counted. The first task index is used to represent the driving performance of the driver in the driving main task, and the specific dimensions can include: average speed, average speed of the vehicle in the scene time; speed fluctuation, standard deviation of the vehicle speed in the scene time; standard deviation of lateral position offset, standard deviation of the lateral distance of the vehicle from the center axis of the lane in the scene time.

[0072] It should be noted that the experimental road is preset on the driving simulator, and the specific implementation process is described with reference to Figure 6 is a test scene schematic diagram of the cognitive load test method provided by the embodiment of the application. The road is a two-way four-lane road with a double yellow line in the middle, and the single lane width can be 3.5 m, and the speed limit is 60 km / h. In addition to the basic road, the entire road maintains a medium level of traffic flow, which can be 10 vehicles per kilometer. The driving performance of the driver, such as speed, acceleration, lateral position offset, etc., is recorded during the entire experiment.

[0073] In the embodiment of the present invention, the detection and response tasks are pre-set on the driving simulator. Specifically, the driver refers to the detection and response tasks in the process of completing the main driving task. Figure 6 When the vehicle travels on a 4-kilometer straight road, the detection and reaction task is triggered once at 0.3km, 1.2km, 2.1km, and 3.0km. At this time, a red circle will appear in the driving simulator's field of view as the target of the task. The driver needs to press the button on the driving simulator as quickly as possible for about 1 second after discovering the red circle appears to ensure that the simulated driving system can detect the button signal. The red circle will disappear after the driver presses the button or 1 second later, and the second task indicator for executing the detection and reaction task is obtained, where the second task indicator is used to represent the driver's reaction performance in performing the detection and reaction task, and may include reaction time.

[0074] Step 103: Perform the secondary driving task while performing the primary driving task, and obtain a third task indicator for performing the secondary driving task.

[0075] In an embodiment of the present invention, a secondary driving task is performed simultaneously with the primary driving task, and a third task indicator for performing the secondary driving task is obtained. The secondary driving task is pre-set on the central control screen of the driving simulator. The driver is required to complete the primary driving task while following the voice prompts, find the icon and manually click on the corresponding content as quickly as possible. The driver's performance in completing the secondary task is recorded throughout the test. The third task indicator is used to represent the driver's driving performance in performing the secondary driving task, and can include reaction time, whether the target was hit (correct reaction within 100ms-2500ms), and the click screen coordinates.

[0076] For example, the execution process of the driving task is as follows: Figure 7 , showing a schematic diagram of a driving sub-task in a cognitive load testing method provided by an embodiment of the present invention, wherein the system emits a "beep" prompt sound (indicating the start of the task statement) → 1000ms later, the task requirement (such as "Please find the 'music' icon") is played → 100ms later, a "beep" prompt sound is emitted (indicating the end of the task statement) → after the prompt sound ends, the central control screen displays a screen containing the target → the pilot touches the control screen or the content of the central control screen disappears (displayed as a black screen) after 2500ms.

[0077] It should be noted that the driving secondary task includes two independent variables, interface type and interface information amount, which are specifically set as shown in the following table: the interface type is divided into three types of list, icon and card. The interface information amount of the list type is divided into four types of 5, 7, 9 and 11, the interface information amount of the chart type is divided into eight types of 8, 9, 12, 15, 16, 20, 24 and 28, and the interface information amount of the card type is divided into four types of 5, 6, 7 and 8. The formal experiment is divided into four interfaces, and there are 24 clues in each interface. Among them, 48 clues in two interfaces are randomly allocated to two interfaces, and the interfaces appear in random order (balanced between subjects). The display time of each interface is 12 min, and there is a 3 min rest time between interface switching.

[0078]

[0079] Step 104, input the first task index, the second task index and the third task index into the preset evaluation model to determine the first test threshold of the cognitive load of the driver.

[0080] In the embodiment of the application, after completing the driving main task, the driving secondary task and the detection reaction task, the first task index, the second task index and the third task index are input into a preset evaluation model, specifically including a plurality of indexes such as driving performance, secondary task completion time, detection reaction task performance and the like input into a pre-set comprehensive evaluation model to determine the first test threshold of the cognitive load of the driver. That is, a threshold of the cognitive load of the driver on the vehicle-mounted display screen is obtained according to the task indexes of the plurality of test tasks, so as to guide the design of the vehicle-mounted display screen with the limit threshold, and to ensure the driving safety as much as possible.

[0081] It should be noted that the preset evaluation model is an evaluation model trained by a large number of different types of users in the driving process, the task performance and physiological indexes of completing the task and the detection reaction task, and the evaluation of the cognitive load degree of the user by completing the subjective questionnaire score, which can perform convolution network processing according to the task index, output the cognitive load parameter represented by the task index, and evaluate the cognitive load level of the driver. The specific training process of the preset evaluation model is not limited in this embodiment, and will not be described here.

[0082] The cognitive load test method provided by the embodiment of the present application sets multiple test tasks in advance, including a driving main task, a driving secondary task and a detection reaction task, acquires a first task index of performing the driving main task and a second task index of performing the detection reaction task, performs the driving secondary task while performing the driving main task, acquires a third task index of performing the driving secondary task, inputs the first task index, the second task index and the third task index into a preset evaluation model, and determines a first test threshold of the cognitive load of the driver. The embodiment of the present application sets multiple driving test tasks, performs the test tasks crosswise or progressively in the driving test process of the driver, acquires the task indexes of the test tasks, scientifically and quantitatively evaluates the cognitive load degree of the driver brought by the vehicle-mounted display screen by using the preset evaluation model, realizes accurate and detailed cognitive load test, so as to take the test threshold of the cognitive load of the driver as a standard, provide a design reference for the designer of the vehicle-mounted display screen, thereby reducing the problem of too high cognitive load of the user in the vehicle driving process due to the too complex vehicle-mounted display screen, reducing the risk of traffic accidents of the user due to excessive attention to the instrument screen and neglect of the driving main task. Meanwhile, the method is also applicable to the cognitive load evaluation of other types of interfaces, and has strong practicability.

[0083] Further, referring to Figure 2 , Figure 2 is Figure 1 The method flow chart of step 102 of the cognitive load test method provided by the embodiment of the present application, step 102 acquires a first task index of performing the driving main task and a second task index of performing the detection reaction task, and includes:

[0084] Step 1021, performing the driving main task set in advance on the driving simulator.

[0085] Step 1022, acquiring the first task index of performing the driving main task, wherein the first task index includes the driving parameter of the driver.

[0086] Step 1023, when it is detected that the driver reaches the preset road section, performing the detection reaction task based on the preset distance interval.

[0087] Step 1024, acquiring the second task index of performing the detection reaction task.

[0088] It should be noted that in the above steps 1021 to 1024, the driving main task is set in advance in the driving simulator, the driver drives at a speed of 55-60km / h on the main road, and tries to maintain high-speed driving within the speed limit range, so as to obtain the first task index of executing the driving main task, when it is detected that the driver reaches the preset road section, the detection reaction task is executed based on the preset distance interval, that is, when the vehicle travels on a straight road of 4km, the detection reaction task can be triggered once at 0.3km, 1.2km, 2.1km, 3.0km, and the detection reaction task can also appear at a random interval of 3-5s during driving, at this time a red circle will appear in the field of view of the driving simulator, the driver needs to press the button on the driving simulator as soon as possible after finding the red circle, and the second task index of executing the detection reaction task is obtained.

[0089] In the embodiment of the present application, by simultaneously executing the driving main task and the detection reaction task during the driving test of the driver, the task index of each test task is obtained, so as to make the test task close to the actual driving scene, thereby scientifically and quantitatively evaluating the cognitive load degree brought by the vehicle-mounted display screen to the driver, realizing accurate and detailed cognitive load test, and reducing the risk of traffic accidents caused by excessive attention to the instrument screen and neglect of the driving main task.

[0090] Further, referring to Figure 3 , Figure 3 is Figure 1 The method flowchart of step 103 of the cognitive load test method provided by the embodiment of the present application, step 103 executes the driving secondary task while executing the driving main task, and obtains the third task index of executing the driving secondary task, comprising:

[0091] Step 1031, executing the driving secondary task according to the first preset time interval while executing the driving main task.

[0092] Step 1032, obtaining the third task index of executing the driving secondary task, wherein the driving secondary task is determined in advance according to the interface information on the vehicle-mounted central control screen.

[0093] It should be noted that in the embodiment, the execution time interval of the driving secondary task is set in advance, and the driver is required to perform the driving secondary task according to the first preset time interval while completing the driving main task, and the driving secondary task can occur at a random time interval of 20-40s. Specifically, according to the voice broadcast, the icon is found as quickly as possible according to the guide language and the corresponding content is clicked with the hand. The performance of the driver in completing the secondary task is recorded throughout the experiment process, including the reaction time, whether to hit (make a correct response within 100ms-2500ms), and the coordinates of the click and the coordinates of the icon, so as to obtain the third task index of performing the driving secondary task, wherein the driving secondary task is determined in advance according to the interface information on the vehicle-mounted center control screen.

[0094] Specifically, step 1032 can specifically include the following steps:

[0095] First, prompt the driver to start the test;

[0096] Second, perform the driving secondary task according to the first preset time interval;

[0097] Second, display the test picture on the vehicle-mounted center control screen to obtain the third task index of performing the driving secondary task, wherein the third task index includes the reaction time, the coordinates of clicking the test picture.

[0098] In the embodiment of the application, by simultaneously performing the driving main task and the driving secondary task during the driving test of the driver, the task index of each test task is obtained, so that the test task is close to the actual driving scene, thereby scientifically and quantitatively evaluating the cognitive load degree brought to the driver by the vehicle-mounted display screen, realizing accurate and detailed cognitive load test, and reducing the risk of traffic accidents caused by the driver's excessive attention to the instrument screen and neglect of the driving main task.

[0099] Referring to Figure 4 , a second step flow chart of a cognitive load test method provided by an embodiment of the application is shown, which is basically the same as the cognitive load test method provided by the first embodiment of the application, and the difference lies in that Figure 4 , comprising:

[0100] Step 101, a plurality of test tasks are set in advance, wherein the plurality of test tasks include a driving main task, a driving secondary task and a detection reaction task.

[0101] Step 102, a first task index of performing the driving main task and a second task index of performing the detection reaction task are obtained.

[0102] Step 103, the driving secondary task is performed while the driving main task is performed, and a third task index of performing the driving secondary task is obtained.

[0103] Step 104, input the first task index, the second task index and the third task index into the preset evaluation model to determine the first test threshold of the cognitive load of the driver.

[0104] The steps 101-104 are described in the first embodiment of the present application, and will not be repeated here.

[0105] Step 105, collect real-time state data of the driver performing the multiple test tasks;

[0106] Step 106, input the real-time state data and the first task index, the second task index and the third task index into the preset evaluation model to determine the second test threshold of the cognitive load of the driver;

[0107] In the embodiment of the present application, during the entire test process of the test task, the driver can wear a bracelet to record heart rate and skin electricity data, the subjective evaluation questionnaire is the cognitive load scale (NASA workload), the subjective evaluation of the user on the cognitive load during the task is collected, so that the driving simulator collects real-time state data of the driver performing the multiple test tasks, the real-time state data includes physiological data and subjective evaluation, the physiological data is collected by the bracelet, and specific indexes are as follows: average heart rate (HR), heart rate acceleration, and emotion arousal of the tested person increases; heart rate variability (Heart rate variability, HRV), including frequency domain indicators HF, LF, LF / HF and time domain indicators SDNN, RMSDNN, pN50; skin conductance level (Skin Conductance Level, SCL); skin conductance response (Skin Conductance Response, SCR).

[0108] Specifically, after collecting the real-time state data of the driver performing the multiple test tasks, the real-time state data and the first task index, the second task index and the third task index are input into the preset evaluation model to determine the second test threshold of the cognitive load of the driver; wherein the second test threshold is determined by combining the real-time state data of the driver driving the main task, the sub-task and the detection reaction task, and a more accurate and actual cognitive load threshold can be obtained, thereby guiding the design of the vehicle-mounted display screen and ensuring driving safety as much as possible.

[0109] Referring to Figure 5 , a third step flow chart of a cognitive load test method provided by the embodiment of the present application is shown, the method is basically the same as the cognitive load test method provided by the first embodiment of the present application, and the difference is that Figure 5 , comprising:

[0110] Step 101 : pre-set a plurality of test tasks, wherein the plurality of test tasks include a primary driving task, a secondary driving task, and a detection and reaction task.

[0111] Step 102: Obtain a first task indicator for executing the driving main task and a second task indicator for executing the detection and response task.

[0112] Step 103: Perform the secondary driving task while performing the primary driving task, and obtain a third task indicator for performing the secondary driving task.

[0113] Step 104 : Input the first task indicator, the second task indicator, and the third task indicator into a preset evaluation model to determine a first test threshold of the driver's cognitive load.

[0114] The above steps 101-104 are described in the first embodiment of the present invention and will not be repeated here.

[0115] Step 107: Obtain task materials for producing the vehicle central control screen interface.

[0116] Step 108 : Determine the information volume and arrangement of the task materials based on the first test threshold of the driver's cognitive load.

[0117] It should be noted that in the above steps 107 to 108, after obtaining the first test threshold of the driver's cognitive load, the design of the vehicle display screen is guided, the task materials for making the vehicle central control screen interface are obtained, and the information volume and arrangement of the task materials are determined.

[0118] Specifically, when creating the interface material for the central control screen, based on the first test threshold of the driver's cognitive load, design interfaces (including list, icon, and card types) with different amounts of information and arrangements. For example, in a list-type interface, for each amount of information, three of the six clues need to be above the center line of the screen, and three of the clues need to be below the center line of the screen; in an icon-type interface, for each amount of information, two of the six clues need to be symmetrical around the center line, and the remaining four clues need to be distributed in the upper left, lower left, upper right, and lower right respectively; in a card-type interface, for each amount of information, two of the six clues need to be symmetrical around the center line, and the remaining four clues need to be distributed in the upper left, lower left, upper right, and lower right respectively. Of course, the above is only a specific example. In the design of an actual in-vehicle display screen interface, the amount of information and arrangement of the task materials should be determined based on the first test threshold of the driver's cognitive load so that the information on the in-vehicle display screen meets the driver's cognitive load. No specific limitation is made here.

[0119] Compared with the prior art, the embodiments of the present invention can provide a design reference for vehicle display designers based on the obtained test threshold of the driver's cognitive load as a standard, thereby alleviating the problem of excessive cognitive load caused by the user's overly complex vehicle display during vehicle driving, and reducing the risk of traffic accidents caused by the user's excessive focus on the instrument screen and neglect of the main driving task. At the same time, this method is also applicable to the cognitive load assessment of other types of interfaces, has strong practicality, further expands the application scenarios of cognitive load testing, and is applicable to more display application scenarios, thereby improving the practicality of the present invention.

[0120] Reference Figure 8 , which shows a schematic structural diagram of a cognitive load testing device provided by an embodiment of the present invention, the device may include:

[0121] A task setting module 201 is used to pre-set multiple test tasks, wherein the multiple test tasks include a driving primary task, a driving secondary task, and a detection and reaction task;

[0122] A first acquisition module 202 is configured to acquire a first task indicator for performing the driving primary task and a second task indicator for performing the detection and response task;

[0123] A second acquisition module 203 is configured to perform the driving secondary task while performing the driving primary task, and obtain a third task indicator for performing the driving secondary task;

[0124] The cognitive load determination module 204 is configured to input the first task indicator, the second task indicator, and the third task indicator into a preset evaluation model to determine a first test threshold of the driver's cognitive load.

[0125] Furthermore, the first acquisition module 202 includes:

[0126] The first task execution submodule is used to execute the main driving task preset on the driving simulator;

[0127] A first acquisition submodule is configured to acquire a first task indicator for executing the driving main task, wherein the first task indicator includes a driving parameter of the driver;

[0128] A second task execution submodule is configured to execute the detection and response task based on a preset distance interval when it is detected that the driver arrives at a preset road section;

[0129] The second acquisition submodule is used to obtain a second task indicator for executing the detection and response task.

[0130] Furthermore, the second acquisition module 203 includes:

[0131] a third task execution submodule, configured to execute the driving secondary task at a first preset time interval while executing the driving primary task;

[0132] The third acquisition submodule is used to obtain a third task indicator for executing the driving sub-task, wherein the driving sub-task is predetermined based on the interface information on the vehicle-mounted central control screen.

[0133] Furthermore, the second acquisition module 203 includes:

[0134] A prompting submodule, used to prompt the driver to start the test;

[0135] a fourth task execution submodule, configured to execute the driving sub-task according to a first preset time interval;

[0136] The fourth acquisition submodule is used to display the test screen on the vehicle-mounted central control screen and obtain the third task indicator for executing the driving sub-task, wherein the third task indicator includes the reaction time and the coordinates of clicking the test screen.

[0137] Furthermore, the device further comprises:

[0138] A data collection module, configured to collect real-time status data of the driver performing the plurality of test tasks;

[0139] The second cognitive load determination module is used to input the real-time status data and the first task indicator, the second task indicator and the third task indicator into a preset evaluation model to determine a second test threshold of the driver's cognitive load.

[0140] Furthermore, the device further comprises:

[0141] The material acquisition module is used to obtain task materials for making the in-vehicle central control screen interface;

[0142] The material determination module is used to determine the information volume and arrangement of the task materials according to the first test threshold of the driver's cognitive load.

[0143] The specific implementation method of the cognitive load testing device provided in this embodiment can refer to the content of the cognitive load testing method provided in the embodiment of the present invention, and will not be repeated here.

[0144] The cognitive load testing device provided by the embodiment of the present application sets multiple testing tasks in advance, including a driving main task, a driving secondary task and a detection reaction task, acquires a first task index of performing the driving main task and a second task index of performing the detection reaction task, performs the driving secondary task while performing the driving main task, acquires a third task index of performing the driving secondary task, inputs the first task index, the second task index and the third task index into a preset evaluation model, and determines a first testing threshold of the cognitive load of the driver. The embodiment of the present application sets multiple driving testing tasks, performs the testing tasks crosswise or progressively in the driving test process of the driver, acquires the task indexes of the testing tasks, scientifically and quantitatively evaluates the cognitive load degree of the driver brought by the vehicle-mounted display screen by using the preset evaluation model, realizes accurate and detailed cognitive load testing, so as to take the testing threshold of the cognitive load of the driver as a standard, provide a design reference for the designer of the vehicle-mounted display screen, thereby reducing the problem of excessively high cognitive load of the user in the vehicle driving process due to the excessively complex vehicle-mounted display screen, reducing the risk of traffic accidents of the user due to excessive attention to the instrument screen and neglect of the driving main task. Meanwhile, the method is also applicable to the cognitive load evaluation of other types of interfaces, and has strong practicability.

[0145] Based on the cognitive load testing method, the embodiment of the present application further provides a vehicle, which comprises the cognitive load testing device in the above steps, and is used for performing the cognitive load testing method in the above steps.

[0146] It can be understood that the vehicle shown in the present application can be various types of vehicles, and the cognitive load testing method proposed in the present application can be applied to these various types of vehicles.

[0147] It should be noted that, in the present document, the relationship terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or equipment including the element.

[0148] Each embodiment in this specification is described in a related manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiment is generally similar to the method embodiment, so the description is relatively simple. For related parts, refer to the description of the method embodiment.

[0149] The above description is only a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention are included in the scope of protection of the present invention.

Claims

1. A cognitive load testing method, characterized in that: The method comprises: Presetting a plurality of test tasks, wherein the plurality of test tasks include a primary driving task, a secondary driving task, and a detection and reaction task; Obtaining a first task indicator for respectively performing the driving main task and a second task indicator for performing the detection and response task; executing the driving secondary task while executing the driving primary task, and obtaining a third task indicator for executing the driving secondary task; The first task indicator, the second task indicator, and the third task indicator are input into a preset evaluation model to determine a first test threshold of the driver's cognitive load.

2. The method according to claim 1, characterized in that The obtaining of the first task indicator for respectively performing the driving main task and the second task indicator for performing the detection and response task includes: Execute the main driving tasks pre-set on the driving simulator; Acquiring a first task indicator for executing the driving main task, wherein the first task indicator includes a driving parameter of the driver; When it is detected that the driver arrives at a preset road section, executing the detection and response task based on a preset distance interval; A second task indicator for executing the detection and response task is obtained.

3. The method according to claim 1, characterized in that The performing of the driving secondary task while performing the driving primary task and obtaining a third task indicator for performing the driving secondary task includes: While executing the driving primary task, executing the driving secondary task at a first preset time interval; A third task indicator for executing the driving sub-task is obtained, wherein the driving sub-task is predetermined based on interface information on the vehicle-mounted central control screen.

4. The method according to claim 3, characterized in that The step of performing the driving secondary task while performing the driving primary task and obtaining a third task indicator for performing the driving secondary task includes: Prompt the driver to start the test; Executing the driving sub-task at a first preset time interval; A test screen is displayed on the vehicle-mounted central control screen, and a third task indicator for executing the driving sub-task is obtained, wherein the third task indicator includes reaction time and coordinates of clicking the test screen.

5. The method according to claim 1, wherein After executing the driving primary task and executing the driving secondary task simultaneously and obtaining a third task indicator for executing the driving secondary task, the method further includes: Collecting real-time status data of the driver performing the plurality of test tasks; The real-time status data and the first task indicator, the second task indicator, and the third task indicator are input into a preset evaluation model to determine a second test threshold of the driver's cognitive load.

6. The method according to claim 1, characterized in that After inputting the first task indicator, the second task indicator, and the third task indicator into a preset evaluation model to determine a first test threshold value of the driver's cognitive load, the method further includes: Obtain task materials for producing the in-vehicle central control screen interface; The information volume and arrangement of the task materials are determined according to a first test threshold of the driver's cognitive load.

7. A cognitive load testing device, characterized in that: The device comprises: A task setting module is used to pre-set multiple test tasks, wherein the multiple test tasks include a driving primary task, a driving secondary task, and a detection and reaction task; A first acquisition module is used to acquire a first task indicator for performing the driving main task and a second task indicator for performing the detection and response task respectively; a second acquisition module, configured to perform the driving secondary task while performing the driving primary task, and acquire a third task indicator for performing the driving secondary task; The cognitive load determination module is configured to input the first task indicator, the second task indicator, and the third task indicator into a preset evaluation model to determine a first test threshold of the driver's cognitive load.

8. The device according to claim 7, characterized in that The first acquisition module includes: The first task execution submodule is used to execute the main driving task preset on the driving simulator; A first acquisition submodule is configured to acquire a first task indicator for executing the driving main task, wherein the first task indicator includes a driving parameter of the driver; A second task execution submodule is configured to execute the detection and response task based on a preset distance interval when it is detected that the driver arrives at a preset road section; The second acquisition submodule is used to obtain a second task indicator for executing the detection and response task.

9. The device according to claim 7, characterized in that The second acquisition module includes: a third task execution submodule, configured to execute the driving secondary task at a first preset time interval while executing the driving primary task; The third acquisition submodule is used to obtain a third task indicator for executing the driving sub-task, wherein the driving sub-task is predetermined based on the interface information on the vehicle-mounted central control screen.

10. A vehicle, characterized in that: The vehicle includes the cognitive load testing device according to any one of claims 7 to 9.

Images