Cognitive load evaluation method and device, electronic equipment and storage medium

Abstract

The invention provides a cognitive load assessment method and device, electronic equipment and a storage medium, and the method comprises the steps: S1, transmitting a first stimulation signal to an execution individual corresponding to a to-be-executed task according to a task demand corresponding to the to-be-executed task, the first stimulation signal being used for prompting the execution individual to input an execution operation for the task demand; s2, when the feedback information of the execution operation meets a preset condition, determining that the cognitive load state of the execution individual is in a normal state as a cognitive load evaluation result of the execution individual; s3, when the feedback information does not meet the preset condition, generating a second stimulation signal, and determining the second stimulation signal as a new first stimulation signal; s2, repeatedly executing the step S1 until the feedback information of the last execution operation meets a preset condition, and recording the total signal sending frequency corresponding to the last execution operation; and S4, determining a cognitive load evaluation result according to the total number of signal transmission times and the target feedback information of the last execution operation.

Description

Technical Field

[0001] The present invention relates to the technical field of artificial intelligence and human-machine systems, and in particular to a cognitive load assessment method, device, electronic device and storage medium. Background Art

[0002] As the complexity of modern society increases, the demand for high-efficiency and high-reliability operations in various industries is increasing. At this time, the concept of cognitive load has become increasingly important. Cognitive load refers to the psychological resource consumption of an individual when processing information, which can directly affect work efficiency, decision-making quality and operational safety. Especially in high-risk fields such as military, aviation, medical emergency and education, it is crucial to accurately and efficiently assess the cognitive load status of managers. This can not only effectively prevent operational errors caused by cognitive overload, but also significantly improve overall work performance by optimizing resource allocation.

[0003] Existing cognitive load assessment methods mainly rely on physiological signals (such as electroencephalogram (EEG), heart rate variability (HRV)) and other behavioral indicators (such as eye tracking), which must be completed with the help of advanced data acquisition equipment. The entire cognitive load assessment process needs to integrate complex and diverse data sources and combine multiple data features to comprehensively assess the individual's cognitive load status, which can easily lead to a relatively cumbersome cognitive load assessment process, thereby affecting the assessment efficiency of the cognitive load assessment results. In addition, in an environment with strong signal interference (such as electromagnetic interference, noise, etc.), it is also difficult to ensure the accuracy of the cognitive load assessment results. Summary of the invention

[0004] The present invention provides a cognitive load assessment method, device, electronic device and storage medium, which are used to solve the defects of low assessment efficiency and accuracy of load assessment results in the prior art, and achieve the goal of not requiring the use of advanced data acquisition equipment, reducing the demand for complex data sources, and only requiring a stimulation signal to train an execution individual at least once to determine the cognitive load assessment result of the execution individual. The entire cognitive load assessment process is simpler and easier, and the assessment efficiency of the cognitive load assessment result is effectively improved. In addition, there is no need to consider external strong signal interference, which effectively improves the accuracy of the cognitive load assessment result.

[0005] The present invention provides a cognitive load assessment method, comprising the following steps.

[0006] S1. According to the task requirement corresponding to the task to be executed, a first stimulation signal is sent to the execution individual corresponding to the task to be executed, wherein the first stimulation signal is used to prompt the execution individual to input a corresponding execution operation according to the task requirement; S2. When the feedback information corresponding to the execution operation satisfies a preset condition, determining that the cognitive load state of the execution individual is in a normal state as a cognitive load assessment result of the execution individual; S3, if the feedback information does not meet the preset condition, generate a second stimulation signal, and determine the second stimulation signal as the new first stimulation signal; repeat the above step S1 until the feedback information corresponding to the last execution of the operation meets the preset condition, and record the total number of signal transmissions corresponding to the last execution of the operation; S4. Determine the cognitive load evaluation result according to the total number of times the signal is sent and the target feedback information corresponding to the last execution operation.

[0007] According to a cognitive load assessment method provided by the present invention, the first stimulation signal includes at least one of the following: a visual signal, an auditory signal, and a tactile signal.

[0008] According to a cognitive load assessment method provided by the present invention, the cognitive load assessment result is determined based on the total number of signal sending times and the target feedback information corresponding to the last execution operation, including: when the total number of signal sending times does not reach a preset number threshold, if the target feedback information meets the preset condition, the cognitive load state of the execution individual is determined to be in a normal state as the cognitive load assessment result; if the target feedback information does not meet the preset condition, repeating the above step S3; when the total number of signal sending times reaches the preset number threshold, if the target feedback information meets the preset condition, the cognitive load state of the execution individual is determined to be in a normal state as the cognitive load assessment result; if the target feedback information does not meet the preset condition, the cognitive load state of the execution individual is determined to be in an abnormal state as the cognitive load assessment result.

[0009] According to a cognitive load assessment method provided by the present invention, generating the second stimulation signal includes: adjusting the first stimulation signal to generate the second stimulation signal; or generating the second stimulation signal according to the first stimulation signal and a third stimulation signal.

[0010] According to a cognitive load assessment method provided by the present invention, the preset condition is determined based on the following steps: determining the preset condition based on a feedback information sample corresponding to the task requirement of an execution individual sample; or determining the preset condition based on historical feedback information corresponding to the task requirement of the execution individual; or determining the preset condition by adaptively adjusting the feedback information sample based on the historical feedback signal.

[0011] According to a cognitive load assessment method provided by the present invention, the feedback information includes: reaction time, or the accuracy between the operation result and the preset operation result.

[0012] According to a cognitive load assessment method provided by the present invention, the adjusting the first stimulation signal to generate the second stimulation signal includes: adjusting parameter information of the first stimulation signal to generate the second stimulation signal, and the parameter information includes at least one of the following: intensity, frequency and duration.

[0013] The present invention also provides a cognitive load assessment device, comprising the following modules.

[0014] A data processing module, configured to send a first stimulation signal to an execution individual corresponding to the task to be executed according to a task requirement corresponding to the task to be executed, wherein the first stimulation signal is used to prompt the execution individual to input a corresponding execution operation according to the task requirement; The cognitive load evaluation module is used to determine the cognitive load evaluation result of the execution individual according to the feedback information corresponding to the execution operation.

[0015] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any one of the above-mentioned cognitive load assessment methods is implemented.

[0016] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for evaluating cognitive load as described above is implemented.

[0017] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any one of the above-mentioned cognitive load assessment methods.

[0018] The present invention provides a cognitive load assessment method, device, electronic device and storage medium, the method comprising: S1, sending a first stimulation signal to an execution individual corresponding to the task to be executed according to the task requirements corresponding to the task to be executed, the first stimulation signal being used to prompt the execution individual to input a corresponding execution operation according to the task requirements; S2, when the feedback information corresponding to the execution operation meets the preset conditions, determining that the cognitive load state of the execution individual is in a normal state as the cognitive load assessment result of the execution individual; S3, when the feedback information does not meet the preset conditions, generating a second stimulation signal, and determining the second stimulation signal as the new first stimulation signal; repeating the above step S1 until the feedback information corresponding to the last execution operation meets the preset conditions, and recording the total number of signal sending times corresponding to the last execution operation; S4, determining the cognitive load assessment result according to the total number of signal sending times and the target feedback information corresponding to the last execution operation. This method does not require the use of advanced data acquisition equipment, reduces the need for complex data sources, and only requires a stimulus signal to train the individual at least once to determine the cognitive load assessment result of the individual. The entire cognitive load assessment process is simpler and easier, effectively improving the assessment efficiency of the cognitive load assessment results. In addition, there is no need to consider external strong signal interference, which effectively improves the accuracy of the cognitive load assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 It is a flowchart of the cognitive load assessment method provided by the present invention.

[0021] Figure 2 It is a structural schematic diagram of the cognitive load assessment device provided by the present invention.

[0022] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Figure 1 is a flow chart of the cognitive load assessment method provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 101: according to the task requirement corresponding to the task to be executed, a first stimulation signal is sent to the execution individual corresponding to the task to be executed, wherein the first stimulation signal is used to prompt the execution individual to input a corresponding execution operation according to the task requirement.

[0025] Among them, the tasks to be performed refer to the specific work, actions or goals that need to be performed or completed.

[0026] Task requirements, also known as specific task characteristics, refer to the specific requirements, conditions or characteristics of the task to be performed. The task requirements may involve multiple aspects such as the task objectives, completion time, required resources, etc., which the individual needs to follow and meet when performing the task.

[0027] An executing individual is an individual who is responsible for executing or completing the task to be executed, usually an individual (such as a manager).

[0028] A stimulus signal, also known as a probe, is a piece of information or signal used to prompt or guide the individual to perform a specific operation without interfering with the main task requirements.

[0029] In some embodiments, the above-mentioned first stimulus signal may include at least one of the following: a visual signal (such as a brief flash on the screen), an auditory signal (such as a slight sound signal) and a tactile signal (such as a slight vibration), etc., which is intended to attract the attention of the executing individual and guide the executing individual to take the next action according to the task requirements, that is, to input the corresponding execution operation.

[0030] After obtaining the task requirements and execution individuals corresponding to the task to be executed, the electronic device can generate a corresponding first stimulation signal according to the task requirements, wherein the first stimulation signals corresponding to different task requirements are different; then, the electronic device outputs the first stimulation signal, that is, sends the first stimulation signal to the execution individual, so that the execution individual can input corresponding execution operations to the electronic device according to the task requirements based on the first stimulation signal, which helps to reduce delays and errors in task execution and improve overall work efficiency.

[0031] Optionally, when generating the first stimulation signal, the electronic device may first determine an application scenario corresponding to the task to be executed, and then determine the first stimulation signal corresponding to the application scenario.

[0032] Exemplarily, in the application scenario of high-load tasks, the first stimulation signal is a more obvious stimulation signal, that is, a stimulation signal with an intensity greater than a first intensity threshold, a frequency greater than a first frequency threshold, and / or a duration greater than a first duration threshold; in the application scenario of low-load tasks, the first stimulation signal is a milder stimulation signal, that is, a stimulation signal with an intensity greater than a second intensity threshold and less than the first intensity threshold, a frequency greater than the second frequency threshold and less than the first frequency threshold, and / or a duration greater than the second duration threshold and less than the first duration threshold.

[0033] Among them, high-load tasks usually refer to those tasks that require high cognitive resources, attention, information processing capabilities, etc. In such tasks, the executing individual needs to concentrate on processing complex information, make quick and accurate decisions, or deal with multiple task elements at the same time.

[0034] Low-load tasks usually refer to those tasks that require less cognitive resources, attention, information processing ability, etc. Such tasks are usually simple and repetitive, and do not require the individual to think deeply or make complex decisions.

[0035] Step 102: When the feedback information corresponding to the execution operation meets a preset condition, determining that the cognitive load state of the execution individual is in a normal state is used as a cognitive load assessment result of the execution individual.

[0036] The feedback information refers to the information about the result of the operation collected by the electronic device after the executing individual performs the operation.

[0037] Optionally, the feedback information may include: reaction time, or the accuracy between the operation result and the preset operation result.

[0038] The reaction time refers to the time required from when the executing individual receives the first stimulation signal to when the executing individual starts to execute the operation (or completes the execution of the operation).

[0039] The accuracy between the operation result and the preset operation result refers to the similarity between the operation result and the preset operation result. Assuming that the preset operation result is pressing keys A, B and C within two seconds, and the operation result is pressing keys A and B within two seconds, the similarity between the operation result and the preset operation result is 75%.

[0040] After the execution individual inputs the corresponding execution operation to the electronic device, the electronic device can respond to the execution operation and generate feedback information corresponding to the execution operation, and then analyze the feedback information to implement the cognitive load assessment of the execution individual and obtain the cognitive load assessment result of the execution individual. Specifically, the electronic device can determine the preset conditions, and then the electronic device determines whether the above feedback information meets the preset conditions. If it does, it means that the execution individual is in a normal state. At this time, the normal state can be determined as the cognitive load assessment result of the execution individual. The entire cognitive load assessment process does not require the use of advanced data acquisition equipment, which reduces the demand for complex data sources. Only the first stimulus signal is needed to determine the cognitive load assessment result of the execution individual, making the entire cognitive load assessment process simpler and easier, and effectively improving the assessment efficiency of the cognitive load assessment result. In addition, there is no need to consider external strong signal interference, which effectively improves the accuracy of the cognitive load assessment result.

[0041] Optionally, the feedback information of the execution operation can use timestamp technology and corresponding hardware devices. For example, a tactile sensor can be used to record the reaction time of a key press.

[0042] It should be noted that the electronic device has built-in normative data on reaction time or accuracy, which can identify feedback information under high cognitive load, and can automatically adjust the parameter information of subsequent stimulation signals according to the real-time evaluation results to ensure the effectiveness and sensitivity of the cognitive load evaluation process. For example, if a significant increase in reaction time is detected, the electronic device will appropriately reduce the complexity of the stimulation, and then evaluate the subsequent reaction of the individual.

[0043] Optionally, when the feedback information is a reaction time, the preset condition is a preset reaction time threshold, and if the feedback information satisfies the preset condition, the reaction time is less than or equal to the preset reaction time.

[0044] Optionally, when the feedback information is the accuracy between the operation result and the preset operation result, the preset condition is a preset degree threshold, and the feedback information satisfies the preset condition, that is, the accuracy is greater than or equal to the preset degree threshold.

[0045] Step 103: If the feedback information does not meet the preset conditions, generate a second stimulation signal and determine the second stimulation signal as the new first stimulation signal; repeat the above step 101 until the feedback information corresponding to the last execution operation meets the preset conditions, and record the total number of signal transmissions corresponding to the last execution operation.

[0046] Step 104: Determine a cognitive load assessment result according to the total number of times the signal is sent and the target feedback information corresponding to the last execution operation.

[0047] Combining the above steps 103 and 104, it can be known that after determining the preset conditions, the electronic device can determine whether the above feedback information meets the preset conditions. If not, it is impossible to determine whether the execution individual is in a normal state or an abnormal state. At this time, the electronic device needs to generate a new stimulation signal, that is, generate a second stimulation signal, and send the second stimulation signal to the execution individual, so that the execution individual inputs a corresponding new execution operation according to the task requirements; then, the electronic device records the total number of signal transmissions corresponding to all stimulation signals, and combines the target feedback information corresponding to the last execution operation to determine the cognitive load assessment result of the execution individual. The entire cognitive load assessment process does not require the use of advanced data acquisition equipment, which reduces the demand for complex data sources. It only requires the stimulation signal to train the execution individual at least once to determine the cognitive load assessment result of the execution individual. The entire cognitive load assessment process is simpler and easier, which effectively improves the evaluation efficiency of the cognitive load assessment result. In addition, the stimulation signal can be adaptively adjusted, and there is no need to consider external strong signal interference, which effectively improves the accuracy of the cognitive load assessment result.

[0048] Optionally, when the feedback information is a reaction time, the preset condition is a preset reaction time threshold, and if the feedback information does not meet the preset condition, the reaction time is greater than the preset reaction time.

[0049] Optionally, when the feedback information is the accuracy between the operation result and the preset operation result, the preset condition is a preset degree threshold, and if the feedback information does not meet the preset condition, the accuracy is less than the preset degree threshold.

[0050] In some embodiments, the electronic device determines the cognitive load assessment result based on the total number of signal transmissions and the target feedback information corresponding to the last execution operation, which may include: when the total number of signal transmissions does not reach a preset number threshold, if the target feedback information meets a preset condition, then determining that the cognitive load state of the executing individual is in a normal state as the cognitive load assessment result; if the target feedback information does not meet the preset condition, repeating the above step 103; when the total number of signal transmissions reaches a preset number threshold, if the target feedback information meets the preset condition, then determining that the cognitive load state of the executing individual is in a normal state as the cognitive load assessment result; if the target feedback information does not meet the preset condition, then determining that the cognitive load state of the executing individual is in an abnormal state as the cognitive load assessment result.

[0051] When determining the total number of times the signal is sent and the target feedback information, the electronic device determines whether the total number of times the signal is sent reaches a preset number threshold, and determines whether the target feedback information meets a preset condition.

[0052] If the total number of times the signal is sent does not reach the preset number threshold, and the target feedback information meets the preset conditions, the cognitive load state of the executing individual is determined to be in a normal state as the cognitive load assessment result.

[0053] If the total number of signal transmissions does not reach the preset number threshold, and the target feedback information does not meet the preset condition, the above step 103 is repeatedly performed until the cognitive load evaluation result is finally determined.

[0054] If the total number of times the signal is sent reaches a preset number threshold, and the target feedback information meets the preset conditions, the cognitive load state of the executing individual is determined to be in a normal state as the cognitive load assessment result.

[0055] If the total number of times the signal is sent reaches a preset number threshold, and the target feedback information does not meet the preset conditions, the cognitive load state of the executing individual is determined to be in an abnormal state as the cognitive load assessment result.

[0056] The whole process can adaptively adjust the stimulation signal to ensure that the cognitive load assessment results of the individual can be accurately determined later. In other words, electronic devices can adjust the stimulation signal according to the specific application scenario to adapt to different task requirements. For example, during high-intensity work, a more conspicuous but non-distracting form of stimulation can be selected; during a more relaxed task, a gentler method can be used for detection.

[0057] In some embodiments, the electronic device generates the second stimulation signal, including one of the following implementations: Implementation method 1: The electronic device adjusts the first stimulation signal to generate a second stimulation signal.

[0058] In some embodiments, the electronic device adjusts the first stimulation signal to generate the second stimulation signal, including: adjusting parameter information of the first stimulation signal to generate the second stimulation signal, wherein the parameter information includes at least one of the following: intensity, frequency, and duration.

[0059] Optionally, the second stimulation signal may include at least one of the following: a visual signal, an auditory signal, and a tactile signal.

[0060] It should be noted that in implementation method 1, the type of the second stimulation signal is the same as the type of the first stimulation signal mentioned above. For example, if the first stimulation signal is a visual signal, then the second stimulation signal is also a visual signal, but the parameter information of the first stimulation signal and the second stimulation signal is different.

[0061] The electronic device can adjust the parameter information of the first stimulation signal based on the first stimulation signal. Specifically, the intensity of the first stimulation signal can be enhanced, the frequency of the first stimulation signal can be increased, or the duration of the first stimulation signal can be extended to obtain the second stimulation signal. This direct adjustment method enables the electronic device to respond quickly and generate a second stimulation signal that meets specific needs.

[0062] Implementation method 2: The electronic device generates a second stimulation signal according to the first stimulation signal and the third stimulation signal.

[0063] Optionally, the third stimulation signal may include at least one of the following: a visual signal, an auditory signal, a tactile signal, etc. The third stimulation signal is different from the first stimulation signal.

[0064] Since only adjusting the first stimulation signal cannot produce a better second stimulation signal, the first stimulation signal can be combined with the third stimulation signal to generate a richer and more diverse second stimulation signal. This combination can produce a stronger stimulation effect, thereby better attracting the attention of the execution individual or stimulating the response of the execution individual.

[0065] In some embodiments, the preset condition is determined based on the following steps, which may include one of the following implementations: Implementation method 1: Determine the preset conditions based on the feedback information samples corresponding to the task requirements of the individual execution samples.

[0066] It should be noted that the execution individual samples are a large number of execution individuals, but do not include the execution individuals involved in the embodiments of the present invention.

[0067] Specifically, after determining the feedback information samples (i.e., a large amount of feedback information) corresponding to the task requirements of the individual execution samples, the electronic device can average, weighted sum, etc. all the feedback information to obtain a first result, and determine the first result as the preset condition. In this case, the preset condition has wide applicability and can represent the general behavior or preference of most individual executions.

[0068] Implementation method 2: Determine the preset conditions based on the historical feedback information corresponding to the task requirements of the executing individual.

[0069] Specifically, after determining the historical feedback information corresponding to the task requirements of the execution individual, the electronic device can average, weighted sum, etc. all the historical feedback information to obtain a second result, and determine the second result as the preset condition. The preset condition is determined based on the historical feedback information of the execution individual itself, so that the preset condition is more in line with the behavior habits and preferences of the execution individual, thereby improving the accuracy of personalized services.

[0070] Implementation method 3: Adaptively adjust the feedback information sample according to the historical feedback signal to determine the preset condition.

[0071] Specifically, after determining the historical feedback signal pair feedback information sample, the electronic device can perform the average, weighted summation, etc. of the historical feedback signal pair feedback information sample to obtain a third result, and determine the third result as the preset condition. The entire process can update the preset condition in real time or periodically, so that the updated preset condition can dynamically adapt to the external environment or the changes in the execution individual behavior.

[0072] In summary, for example, a certain aviation unit has a new type of flight device, which has a large noise inside the cockpit due to specific design requirements, that is, it is in an environment of strong signal interference. Existing cognitive load assessment methods, such as detecting eye movements, heart rate monitoring, etc., are difficult to ensure the accuracy of cognitive load assessment results in such an environment of strong signal interference. In addition, wearing sensors for a long time may cause discomfort to pilots and affect their normal performance. In an embodiment of the present invention, it is intended to overcome the impact of equipment noise on existing assessment methods, provide a non-invasive solution, ensure that the pilot's main task performance is not affected, and adapt to complex flight mission requirements. Considering the high noise environment in the cockpit of the flight device, visual signals are selected as the main stimulation method, that is, as the first stimulation signal, specifically including short flashes or color changes on the screen, which will not distract the pilot's attention, but can effectively attract attention. According to the different stages of the flight mission and the expected cognitive load level, the intensity, frequency and duration of the stimulation signal are adjusted. For example, more obvious visual signals are used during critical operations such as takeoff and landing, while milder visual signals are used during the cruising stage.

[0073] In the embodiment of the present invention, the stimulation signal can be generated and controlled in real time according to the flight mission requirements, ensuring the accuracy and timeliness of the stimulation signal while avoiding additional burden on the pilot.

[0074] In addition, tactile sensors can be used to collect pilot feedback information. After the stimulus signal is issued, the pilot is prompted with language to perform the operations required, and the pilot's response time and accuracy to each stimulus signal are recorded. That is, when the visual signal and voice signal appear, the electronic device will automatically record the time when the pilot presses the confirmation button. Multiple tests were conducted in a simulated environment to verify the effectiveness and reliability of the cognitive load assessment method. The experiment showed that through 4-5 stimulation feedback processes, the pilot's cognitive load level can be basically determined and the pilot's cognitive load status can be accurately assessed.

[0075] In an embodiment of the present invention, according to the task requirements corresponding to the task to be executed, a first stimulation signal is sent to the execution individual corresponding to the task to be executed, and the first stimulation signal is used to prompt the execution individual to input the corresponding execution operation according to the task requirements; when the feedback information corresponding to the execution operation meets the preset conditions, the cognitive load state of the execution individual is in a normal state and is determined as the cognitive load evaluation result of the execution individual; when the feedback information does not meet the preset conditions, a second stimulation signal is generated, and the second stimulation signal is determined as a new first stimulation signal; the step of sending the first stimulation signal to the execution individual corresponding to the task to be executed according to the task requirements corresponding to the task to be executed is repeated until the feedback information corresponding to the last execution operation meets the preset conditions, and the total number of signal transmissions corresponding to the last execution operation is recorded; the cognitive load evaluation result is determined according to the total number of signal transmissions and the target feedback information corresponding to the last execution operation. The method does not require the use of advanced data acquisition equipment, reduces the demand for complex data sources, only requires the stimulation signal to train the execution individual at least once to determine the cognitive load evaluation result of the execution individual, and the entire cognitive load evaluation process is simpler and easier, effectively improving the evaluation efficiency of the cognitive load evaluation result, and in addition, there is no need to consider external strong signal interference, which effectively improves the accuracy of the cognitive load evaluation result.

[0076] It should be noted that in the existing cognitive load assessment method, the executing individual also needs to wear sensors for a long time, which can easily make the executing individual feel uncomfortable, thereby affecting the normal performance of the executing individual and even changing the cognitive load state of the executing individual. In the embodiment of the present invention, the entire cognitive load assessment process does not require the executing individual to wear sensors, and does not involve direct contact with the internal organs of the body. Therefore, it also has good safety and comfort, effectively avoiding affecting the normal performance of the executing individual, so as to effectively ensure the stability of the cognitive load state of the executing individual. At the same time, there is no need for the executing individual to make additional actions or change the working method. Only a short stimulus signal is required to achieve the assessment of the cognitive load state, so it is very suitable for use in task scenarios with longer duration. In addition, the entire cognitive load assessment process can dynamically monitor and quantify the cognitive load of the executing individual without affecting the performance of the main task, so as to optimize the working environment, adjust task allocation or conduct human-computer interaction design.

[0077] The cognitive load assessment device provided by the present invention is described below. The cognitive load assessment device described below and the cognitive load assessment method described above can be referenced to each other.

[0078] Figure 2 is a schematic diagram of the structure of the cognitive load assessment device provided by the present invention, such as Figure 2 As shown, the cognitive load assessment device includes the following: The data processing module 201 is used to send a first stimulation signal to an execution entity corresponding to the task to be executed according to the task requirement corresponding to the task to be executed, and the first stimulation signal is used to prompt the execution entity to input a corresponding execution operation according to the task requirement; A cognitive load evaluation module 202 is used to determine that the cognitive load state of the execution individual is in a normal state as a cognitive load evaluation result of the execution individual when the feedback information corresponding to the execution operation meets a preset condition; The cognitive load assessment module 202 is also used to generate a second stimulation signal when the feedback information does not meet the preset condition, and determine the second stimulation signal as the new first stimulation signal; repeat the step of sending the first stimulation signal to the execution individual corresponding to the task to be executed according to the task requirements corresponding to the task to be executed by the data processing module 201, until the feedback information corresponding to the last execution operation meets the preset condition, and record the total number of signal sending times corresponding to the last execution operation; determine the cognitive load assessment result according to the total number of signal sending times and the target feedback information corresponding to the last execution operation.

[0079] Optionally, the first stimulation signal includes at least one of the following: a visual signal, an auditory signal, and a tactile signal.

[0080] Optionally, the cognitive load assessment module 202 is specifically used to, when the total number of times the signal is sent does not reach a preset number threshold, if the target feedback information meets the preset condition, determine that the cognitive load state of the execution individual is in a normal state as the cognitive load assessment result; if the target feedback information does not meet the preset condition, repeat the above-mentioned step of generating a second stimulation signal to determine the cognitive load assessment result; when the total number of times the signal is sent reaches the preset number threshold, if the target feedback information meets the preset condition, determine that the cognitive load state of the execution individual is in a normal state as the cognitive load assessment result; if the target feedback information does not meet the preset condition, determine that the cognitive load state of the execution individual is in an abnormal state as the cognitive load assessment result.

[0081] Optionally, the cognitive load evaluation module 202 is specifically configured to adjust the first stimulation signal to generate the second stimulation signal; or to generate the second stimulation signal according to the first stimulation signal and the third stimulation signal.

[0082] Optionally, the preset condition is determined based on the following steps: determining the preset condition based on a feedback information sample corresponding to the task requirement of the execution individual sample; or determining the preset condition based on historical feedback information corresponding to the task requirement of the execution individual; or determining the preset condition by adaptively adjusting the feedback information sample based on the historical feedback signal.

[0083] Optionally, the feedback information includes: reaction time, or the accuracy between the operation result and the preset operation result.

[0084] Optionally, the cognitive load evaluation module 202 is specifically configured to adjust parameter information of the first stimulation signal to generate the second stimulation signal, wherein the parameter information includes at least one of the following: intensity, frequency, and duration.

[0085] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3 As shown, the electronic device may include: a processor (processor) 301, a communication interface (Communications Interface) 320, a memory (memory) 330 and a communication bus 340, wherein the processor 301, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 301 can call the logic instructions in the memory 330 to execute the cognitive load assessment method, which includes: S1. According to the task requirements corresponding to the task to be executed, a first stimulation signal is sent to the execution individual corresponding to the task to be executed, and the first stimulation signal is used to prompt the execution individual to input the corresponding execution operation according to the task requirements; S2. When the feedback information corresponding to the execution operation meets the preset conditions, the cognitive load state of the execution individual is determined to be in a normal state as the cognitive load assessment result of the execution individual; S3. When the feedback information does not meet the preset conditions, a second stimulation signal is generated, and the second stimulation signal is determined as the new first stimulation signal; the above step S1 is repeated until the feedback information corresponding to the last execution operation meets the preset conditions, and the total number of signal sending corresponding to the last execution operation is recorded; S4. According to the total number of signal sending and the target feedback information corresponding to the last execution operation, the cognitive load assessment result is determined.

[0086] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0087] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the cognitive load assessment method provided by the above methods, which method includes: S1. According to the task requirements corresponding to the task to be executed, a first stimulation signal is sent to the execution individual corresponding to the task to be executed, and the first stimulation signal is used to prompt the execution individual to input a corresponding execution operation according to the task requirements; S2. When the feedback information corresponding to the execution operation meets the preset conditions, the cognitive load state of the execution individual is determined to be in a normal state as the cognitive load assessment result of the execution individual; S3. When the feedback information does not meet the preset conditions, a second stimulation signal is generated, and the second stimulation signal is determined as the new first stimulation signal; the above step S1 is repeated until the feedback information corresponding to the last execution operation meets the preset conditions, and the total number of signal sending corresponding to the last execution operation is recorded; S4. According to the total number of signal sending and the target feedback information corresponding to the last execution operation, the cognitive load assessment result is determined.

[0088] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented by a processor to execute the cognitive load assessment method provided by the above-mentioned methods when the computer program is executed, the method comprising: S1, sending a first stimulation signal to an execution individual corresponding to the task to be executed according to the task requirements corresponding to the task to be executed, the first stimulation signal being used to prompt the execution individual to input a corresponding execution operation according to the task requirements; S2, when the feedback information corresponding to the execution operation meets the preset conditions, determining that the cognitive load state of the execution individual is in a normal state as the cognitive load assessment result of the execution individual; S3, when the feedback information does not meet the preset conditions, generating a second stimulation signal, and determining the second stimulation signal as the new first stimulation signal; repeating the above step S1 until the feedback information corresponding to the last execution operation meets the preset conditions, and recording the total number of signal sending times corresponding to the last execution operation; S4, determining the cognitive load assessment result according to the total number of signal sending times and the target feedback information corresponding to the last execution operation.

[0089] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0090] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A cognitive load assessment method, characterized in that: include: S1. According to the task requirement corresponding to the task to be executed, a first stimulation signal is sent to the execution individual corresponding to the task to be executed, wherein the first stimulation signal is used to prompt the execution individual to input a corresponding execution operation according to the task requirement; S2. When the feedback information corresponding to the execution operation satisfies a preset condition, determining that the cognitive load state of the execution individual is in a normal state as a cognitive load assessment result of the execution individual; S3, if the feedback information does not meet the preset condition, generate a second stimulation signal, and determine the second stimulation signal as the new first stimulation signal; repeat the above step S1 until the feedback information corresponding to the last execution of the operation meets the preset condition, and record the total number of signal transmissions corresponding to the last execution of the operation; S4. Determine the cognitive load evaluation result according to the total number of times the signal is sent and the target feedback information corresponding to the last execution operation.

2. The cognitive load assessment method according to claim 1, characterized in that: The first stimulation signal includes at least one of the following: a visual signal, an auditory signal, and a tactile signal.

3. The cognitive load assessment method according to claim 1 or 2, characterized in that: The determining the cognitive load evaluation result according to the total number of times the signal is sent and the target feedback information corresponding to the last execution operation includes: In the case where the total number of times the signal is sent does not reach the preset number threshold, if the target feedback information meets the preset condition, the cognitive load state of the executing individual is determined to be in a normal state as the cognitive load assessment result; if the target feedback information does not meet the preset condition, the above step S3 is repeated; When the total number of signal transmissions reaches the preset number threshold, if the target feedback information meets the preset condition, the cognitive load state of the executing individual is determined to be in a normal state as the cognitive load assessment result; if the target feedback information does not meet the preset condition, the cognitive load state of the executing individual is determined to be in an abnormal state as the cognitive load assessment result.

4. The cognitive load assessment method according to claim 1 or 2, characterized in that: The generating of the second stimulation signal comprises: adjusting the first stimulation signal to generate the second stimulation signal; or, The second stimulation signal is generated according to the first stimulation signal and the third stimulation signal.

5. The cognitive load assessment method according to claim 1 or 2, characterized in that: The preset conditions are determined based on the following steps: Determining the preset condition according to the feedback information sample corresponding to the task requirement by the executing individual sample; or, Determining the preset condition according to the historical feedback information of the execution individual corresponding to the task requirement; or, The feedback information sample is adaptively adjusted according to the historical feedback signal to determine the preset condition.

6. The cognitive load assessment method according to claim 1 or 2, characterized in that: The feedback information includes: reaction time, or the accuracy between the operation result and the preset operation result.

7. The cognitive load assessment method according to claim 4, characterized in that: The adjusting the first stimulation signal to generate the second stimulation signal comprises: The parameter information of the first stimulation signal is adjusted to generate the second stimulation signal, wherein the parameter information includes at least one of the following: intensity, frequency, and duration.

8. A cognitive load assessment device, characterized in that: include: A data processing module, configured to send a first stimulation signal to an execution individual corresponding to the task to be executed according to a task requirement corresponding to the task to be executed, wherein the first stimulation signal is used to prompt the execution individual to input a corresponding execution operation according to the task requirement; A cognitive load evaluation module, configured to determine that the cognitive load state of the execution individual is in a normal state as a cognitive load evaluation result of the execution individual when the feedback information corresponding to the execution operation meets a preset condition; The cognitive load assessment module is further configured to generate a second stimulation signal and determine the second stimulation signal as the new first stimulation signal when the feedback information does not meet the preset condition; repeat the step of the data processing module sending the first stimulation signal to the execution individual corresponding to the task to be executed according to the task requirements corresponding to the task to be executed, until the feedback information corresponding to the last execution operation meets the preset condition, and record the total number of signal sending times corresponding to the last execution operation; determine the cognitive load assessment result based on the total number of signal sending times and the target feedback information corresponding to the last execution operation.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the cognitive load assessment method according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the cognitive load assessment method according to any one of claims 1 to 7 is implemented.

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