Sensorimotor metacognition test method and platform
By designing a motion trajectory judgment task and Likert scale scoring, this study assesses an individual's sensorimotor metacognitive ability, solving the problem of inaccurate assessment in existing technologies and achieving a more accurate and reliable sensorimotor metacognitive test.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SCI RES TRAINING CENT FOR CHINESE ASTRONAUTS
- Filing Date
- 2026-01-14
- Publication Date
- 2026-06-05
AI Technical Summary
Existing technologies struggle to effectively assess an individual's sensorimotor metacognitive abilities, especially in complex environments, which impact adaptive behavior and task performance efficiency.
Design a sensorimotor metacognitive testing method and platform to assess an individual's sensorimotor metacognitive ability through a motion trajectory judgment task. Utilize the collision and occlusion motion trajectories of a target ball and a colliding ball, combined with Likert scale scoring, to calculate a comprehensive test score.
It improves the accuracy and reliability of sensorimotor metacognition assessment and provides a quantitative basis for an individual's metacognitive monitoring ability in complex environments.
Smart Images

Figure CN122158012A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of motor metacognitive assessment technology, and in particular to a sensorimotor metacognitive testing method and platform. Background Technology
[0002] In the fields of cognitive science and neuroengineering, sensory-motor metacognition, as an important component of metacognitive ability, studies an individual's ability to self-monitor and evaluate their own sensorimotor decision-making processes (such as trajectory prediction and motion control). This ability is particularly crucial in specialized settings such as rehabilitation medicine, directly impacting an individual's adaptive behavior and task performance efficiency in complex environments. For example, athletes need to quickly determine the trajectory of moving objects to perform precise maneuvers. Summary of the Invention
[0003] In view of this, this application provides a sensorimotor metacognitive testing method and platform, which evaluates sensorimotor metacognition in the form of a motion trajectory judgment task, thereby improving accuracy and reliability.
[0004] According to one aspect of this application, a sensorimotor metacognitive testing method is provided, the method comprising: In response to any motion trajectory judgment task triggered by the subject, for the target ball and the colliding ball in the test box corresponding to the motion trajectory judgment task, the target ball and the colliding ball move diagonally upward towards each other with the same speed and symmetrical angle until a collision occurs. The target ball and the colliding ball have the same density but different diameters. The target ball and the colliding ball are completely symmetrical in their initial positions before the movement. Air resistance and energy loss after the collision are ignored when the target ball and the colliding ball move. When the target ball and the colliding ball are about to collide, the movement trajectories of the target ball and the colliding ball are blocked. After the target ball and the colliding ball collide, they continue to move until they touch the test box and stop. Two test locations are displayed at the edge of the test box for the target ball to eventually stop. One test location represents the correct stopping point, and the other test location represents the incorrect stopping point. The test location identified by the subject in the motion trajectory judgment task is received, along with the confidence score submitted by the subject for the test location based on a 7-point Likert scale, where a confidence score of 1 indicates complete uncertainty and a confidence score of 7 indicates complete certainty. Based on the test locations identified by the subjects in multiple different motion trajectory judgment tasks, as well as their confidence scores for those test locations, the subjects' sensorimotor metacognitive comprehensive test scores were obtained.
[0005] According to another aspect of this application, a sensorimotor metacognitive testing platform is provided, the platform comprising: The test ball collision module is used to respond to any motion trajectory judgment task triggered by the subject. For the target ball and the collision ball in the test box corresponding to the motion trajectory judgment task, the target ball and the collision ball move diagonally upward towards each other with the same speed and symmetrical angle until a collision occurs. The target ball and the collision ball have the same density but different diameters. The target ball and the collision ball are completely symmetrical in their initial positions before the movement. Air resistance and energy loss after the collision are ignored when the target ball and the collision ball move. The motion trajectory masking module is used to mask the motion trajectory of the target ball and the colliding ball when they are about to collide. After the target ball and the colliding ball collide, they continue to move until they touch the test box and stop. The test position generation module is used to display two test positions on the edge of the test box for the target ball that may eventually stop. One test position represents the correct stopping point and the other test position represents the incorrect stopping point. The subject information receiving module is used to receive the test location confirmed by the subject in the motion trajectory judgment task, and the confidence score submitted by the subject for the test location based on the 7-point Likert scale, wherein a confidence score of 1 in the 7-point Likert scale represents complete uncertainty, and a confidence score of 7 represents complete certainty. The test score generation module is used to obtain the subject's sensorimotor metacognitive comprehensive test score based on the test position confirmed by the subject in multiple different motion trajectory judgment tasks, as well as the confidence score of the test position.
[0006] Using the above technical solution, this application provides a sensorimotor metacognitive testing method and platform. For a motion trajectory judgment task, a target ball and a colliding ball within a test box move diagonally upwards at the same speed and symmetrical angle until a collision occurs. When the target ball and colliding ball are about to collide, their trajectories are obscured. Two test positions where the target ball may eventually stop are displayed at the edge of the test box. The test positions confirmed by the subject in the motion trajectory judgment task, as well as the subject's confidence score for each test position based on a 7-point Likert scale, are received. Based on the test positions confirmed by the subject in multiple different motion trajectory judgment tasks, and the confidence scores for each test position, a comprehensive sensorimotor metacognitive test score is obtained. By assessing sensorimotor metacognition in the form of a motion trajectory judgment task, the accuracy and reliability of the assessment are improved.
[0007] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description
[0008] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A flowchart illustrating a sensorimotor metacognitive testing method provided in an embodiment of this application is shown. Figure 2 This illustration shows a test block diagram provided in an embodiment of the present application; Figure 3 This illustration shows a test location diagram provided in an embodiment of this application; Figure 4 A flowchart illustrating another sensorimotor metacognitive testing method provided in an embodiment of this application is shown; Figure 5 A schematic diagram of the structure of a sensorimotor metacognitive testing platform provided in an embodiment of this application is shown. Detailed Implementation
[0009] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.
[0010] This embodiment provides a sensorimotor metacognitive testing method, such as Figure 1 As shown, the method includes: Step 101: In response to any motion trajectory judgment task triggered by the subject, for the target ball and the collision ball in the test box corresponding to the motion trajectory judgment task, the target ball and the collision ball move diagonally upward towards each other with the same speed and symmetrical angle until a collision occurs. The target ball and the collision ball have the same density but different diameters. The target ball and the collision ball are completely symmetrical in their initial positions before the movement. Air resistance and energy loss after the collision are ignored when the target ball and the collision ball move. Step 102: When the target ball and the colliding ball are about to collide, the movement trajectories of the target ball and the colliding ball are blocked. After the target ball and the colliding ball collide, they continue to move until they touch the test box and stop. Step 103: Display two test positions on the edge of the test box for the target ball that may eventually stop, where one test position represents the correct stopping point and the other test position represents the incorrect stopping point; Step 104: Receive the test location confirmed by the subject in the motion trajectory judgment task, and the confidence score submitted by the subject for the test location based on the 7-point Likert scale, wherein a confidence score of 1 in the 7-point Likert scale represents complete uncertainty, and a confidence score of 7 represents complete certainty. Step 105: Based on the test location confirmed by the subject in multiple different motion trajectory judgment tasks, and the confidence score of the test location, obtain the subject's sensorimotor metacognitive comprehensive test score. When the subject performs the motion trajectory judgment task, the subject is located at a preset distance from the screen displaying the test box, and the preset distance includes 60 centimeters.
[0011] In the above embodiments of this application, a self-created motion trajectory judgment task is used as the experimental paradigm. The subject sits approximately 60cm from the computer screen. In each trial (motion trajectory judgment task), two blue spheres of the same density but different diameters are presented within the test box (e.g., black). Figure 2 As shown in the diagram, one of the balls is the target ball (marked as an orange circle). The two balls are initially fixed and perfectly symmetrical. They then move diagonally upwards towards the other ball at the same speed and symmetrical angle (the x-axis velocities are the same but opposite in direction, and the y-axis velocities are identical in magnitude and direction) and collide. Air resistance and energy loss after the collision are ignored throughout the process. Just before the two balls collide, their trajectories are obscured, and they continue moving until they touch the black square. Two white balls are then displayed at the edge of the test square, representing the correct and incorrect stopping points of the target ball, respectively. The subject must press a button ("1" or "2") to select the correct stopping point (e.g., ...). Figure 3 As shown in the figure), the confidence level was then assessed using a 7-point Likert scale (1 = no confidence, 7 = full confidence) (JOC).
[0012] Optionally, the test box corresponds to coordinate axes, including the X-axis and Y-axis. The motion speed includes the X-axis motion speed and the Y-axis motion speed. When the target ball and the colliding ball move diagonally upwards towards each other at the same motion speed and symmetrical angle, the magnitude of the X-axis motion speed of the target ball and the colliding ball is the same but the direction is opposite, and the magnitude and direction of the Y-axis motion speed are exactly the same. The motion speeds include 2.5 cm / s, 3 cm / s, 3.5 cm / s, 4 cm / s, 4.5 cm / s, and 5 cm / s, and the diameters include 0.8 cm, 0.9 cm, and 1 cm. The motion trajectory judgment task corresponds to a collision environment, including a gravity environment and a zero-gravity environment. In step 101, the target ball and the colliding ball are moved diagonally upwards towards each other at the same motion speed and symmetrical angle until a collision occurs, including: Step 101: When the motion trajectory determines that the task is a gravity environment, move the target ball and the collision ball at the same speed and symmetrical angle towards each other at an oblique upward angle until they fall to the bottom of the test box and collide. Step 102: When the motion trajectory determines that the task is a zero-gravity environment, move the target ball and the collision ball at the same speed and symmetrical angle towards each other at an oblique upward angle until they fly to the top of the test box and collide.
[0013] In the above embodiments of this application, the motion trajectory determination task includes two environments: gravity and zero gravity. In the gravity environment, the balls (target ball and colliding ball) are affected by gravity and fall below the screen (i.e., the test box) after the collision. In the zero gravity environment, the balls are not affected by gravity and fly upwards on the screen after the collision. By adjusting the magnitude of the Y-axis velocity (6 conditions) and the diameters of the two balls (3 conditions), a total of 36 trial combinations are set, for a total of 72 trials (the order is balanced). The size and speed of the balls can be set.
[0014] Among them, the six conditions for the speed of motion include, for example, 2.5 cm / s, 3 cm / s, 3.5 cm / s, 4 cm / s, 4.5 cm / s, and 5 cm / s, and the three conditions for the diameter include, for example, 0.8 cm, 0.9 cm, and 1 cm.
[0015] Optionally, step 105, based on the test location identified by the subject in multiple different motion trajectory judgment tasks, and the confidence score of the test location, obtains the subject's sensorimotor metacognitive integrated test score, including: Step 1051: For the test locations identified by the subjects in each motion trajectory judgment task, calculate the ratio of the number of test locations representing correct stopping points to the total number of motion trajectory judgment tasks, and determine the calculated ratio as the overall performance index value.
[0016] Step 1052: When the overall performance index value is less than the preset performance index threshold, a second-order subject judgment confidence characteristic curve is constructed based on the subject's confidence score of the test location confirmed in multiple different motion trajectory judgment tasks. Based on the subject's judgment confidence characteristic curve, the subject's sensorimotor metacognitive comprehensive test score is calculated. Step 1053: When the overall performance index value is greater than or equal to the preset performance index threshold, assess the deviation between the subject's confidence rating and actual performance in each motion trajectory judgment task, and quantify the assessed deviation to obtain the subject's sensorimotor metacognitive comprehensive test score, wherein the actual performance is characterized by whether the test position is correct or not.
[0017] In the above embodiments of this application, a three-stage adaptive framework can be used to automate the measurement of metacognitive monitoring levels, ultimately obtaining the subject's sensorimotor metacognitive comprehensive test score, specifically: 1. First Phase: Automated Performance Calculation 1.1 Record the subject's performance in the motion trajectory judgment task in real time.
[0018] 1.2. Binarize each trial: a) Correctly identifying the stopping point of the target ball (i.e., the subject confirming the correct stopping point) is recorded as 1; b) False judgments (i.e., the subject confirms the false stop point) are recorded as 0.
[0019] 1.3 Calculate overall performance indicators: a) , b) where This represents the total number of correct attempts. P represents the total number of trials, which is also the value of the overall performance indicator.
[0020] 2. Second Stage: Adaptive Selection of Evaluation Methods 2.1 Establish decision-making rules: a) Default: Activate Method 1 (AUROC calculation); b) When P ≥ 95% or all confidence scores are identical: Activate Method Two (Absolute Accuracy Calculation) 2.2. Basis for Method Selection: a) Ceiling effect avoidance mechanism: The distinguishing power of traditional indicators decreases at high performance levels; b) Measurement sensitivity optimization: Select the optimal measurement scale based on data characteristics; 3. Third Stage: Indicator Calculation and Output: Method 1: Area under the ROC curve (AUROC).
[0021] 3.1 Method Introduction: Most empirical research data do not conform to an equal-variance normal distribution, thus rendering the metrics based on the signal detection theory framework inapplicable. The nonparametric solution ROC—the Receiver Operating Characteristic (ROC) curve—is used in metacognitive research. By using a confidence threshold based on system changes, a series of data points can be obtained, which can then be used to construct a second-order ROC curve. The area under the curve (AUROC) is a core metric, and its calculation typically employs the trapezoidal rule.
[0022] 3.2 ROC curve construction: 3.1.1 Setting a dynamic confidence threshold sequence: 3.1.2 Calculate the following for each threshold: a) Sensitivity (the proportion of correct trials with confidence ≥ threshold), sensitivity measures the ability to correctly identify correct samples; b) 1-Specificity (the proportion of incorrect trials with confidence ≥ the threshold). Specificity measures the ability to correctly identify incorrect samples. Therefore, 1-Specificity represents the proportion of incorrect samples that are incorrectly judged as correct.
[0023] 3.3 AUROC Calculation: 3.3.1 The trapezoidal integral method is used, and its formula is as follows: , in, The x-coordinate of the i-th point on the ROC curve is usually 1-specificity. The ordinate of the i-th point on the ROC curve is usually the sensitivity. This is the total number of points, which typically come from different confidence thresholds.
[0024] 3.4 Interpretation of Results: a) Output range [0.5, 1]; b) The closer the value is to 1, the higher the metacognitive sensitivity.
[0025] c) The ROC curve reflects judgment ability. The area under the curve, AUROC, is an indicator of an individual's ability to distinguish between "correct" and "incorrect" judgments.
[0026] Method 2: Absolute Accuracy 3.1 Method Introduction: In metacognitive monitoring and evaluation, when the area under the ROC curve (AUROC) is not applicable, using absolute accuracy as the core evaluation indicator can effectively avoid the loss of sensitivity caused by measurement scale compression. Absolute accuracy refers to the deviation between an individual's confidence judgment and actual performance, mainly focusing on whether an individual can accurately predict their own performance.
[0027] 3.2 Data Standardization: a) Linearly transform the confidence score to the [0,1] interval; b) Performance indicators remain in their original binary form.
[0028] 3.3 Deviation Calculation: , in, This represents an individual's standardized confidence score for the i-th task (e.g., in a 7-point scale, 7 represents 1 and 1 represents 0). Representing actual performance on the task (0 for error, 1 for correct), the formula calculates the squared deviation between confidence and performance for each task, and then takes the average. Smaller deviations indicate higher accuracy, i.e., a higher level of metacognitive monitoring ability.
[0029] 3.3 Interpretation of Results: a) Output range [0,1]; a) The closer the value is to 0, the higher the accuracy of metacognition.
[0030] Specifically, this adaptive system has the following technical features: Dynamic threshold adjustment: Automatically adjusts the confidence threshold density based on task difficulty; Real-time verification mechanism: Continuously monitors data validity indicators; Dual-mode redundancy design: Automatically switches to a backup algorithm when the primary calculation method fails.
[0031] Optionally, the method further includes: Step 106: When the subject performs the motion trajectory judgment task, use electroencephalography (EEG) technology to record the subject's brain activity data during the motion trajectory judgment task.
[0032] Step 107: For any one motion trajectory judgment task performed by the subject, combine the subject's sensorimotor metacognitive integrated test score for the motion trajectory judgment task with the subject's EEG activity data in the motion trajectory judgment task, and extract the correlation between the sensorimotor metacognitive integrated test score and the EEG activity data, wherein the EEG activity data is used to characterize the neural mechanism of the subject's cognitive process for the motion trajectory judgment task.
[0033] Step 108: Extract the correlation between the sensorimotor metacognitive integrated test scores and EEG activity data.
[0034] Step 109: Based on the correlation between the sensorimotor metacognitive integrated test score and EEG activity data, construct a sensorimotor metacognitive test score prediction model, wherein the sensorimotor metacognitive test score prediction model is used to predict the subject's sensorimotor metacognitive integrated test score based on the subject's EEG activity data.
[0035] In the above embodiments of this application, it can be applied to a sensorimotor metacognitive testing platform. After logging into the sensorimotor metacognitive testing platform, the subject... Figure 4As shown, users can select "identity information" and choose between behavioral tasks and EEG tasks. Behavioral tasks are also known as motion trajectory judgment tasks, while EEG tasks involve acquiring the subject's brain activity data during the motion trajectory judgment task. Additionally, subjects (users) can view their data and check their sensorimotor metacognitive integrated test scores.
[0036] Specifically, when subjects perform a motion trajectory judgment task, electroencephalography (EEG) equipment can be used to record their brain electrical activity data. These EEG signals, especially those related to motor imagery, can be used to analyze the cognitive neural mechanisms of the subjects during the task.
[0037] There is a correlation between sensorimotor metacognitive integration test scores and EEG activity data. This correlation is reflected in the dynamic connections of brain functional networks and the activation levels of specific brain regions (such as the prefrontal cortex). For example, the classification accuracy of EEG signals in a motor imagery task can serve as an indicator of cognitive state.
[0038] Statistical models (such as multidimensional linear regression) can be applied to analyze the relationship between test scores and EEG features (such as slow cortical potentials) to extract the correlation between the two. Based on this correlation, machine learning methods can be used to build a predictive model that can predict the subject's sensorimotor metacognitive integration test score based on input EEG activity data (such as decoded motor trajectory neural signals).
[0039] By applying the technical solution of this embodiment, a paradigm for measuring an individual's metacognitive monitoring ability in sensorimotor under special conditions (motor trajectory judgment paradigm) is designed in the form of a tool (sensory-motor metacognitive testing platform). This paradigm measures an individual's metacognitive monitoring ability in special environments, providing a quantitative basis for cognitive function assessment and task safety. This paradigm combines behavioral indicators with multimodal data such as EEG to systematically reveal the metacognitive monitoring mechanism of an individual's sensorimotor under special conditions, providing a new method for understanding the relationship between internal gravity models, attention allocation strategies, and metacognitive sensitivity. This paradigm can also be extended to fields such as educational assessment, driving safety, sports training, and clinical rehabilitation to assess and improve the metacognitive level of the general population in complex tasks.
[0040] Specifically, metacognition refers to an individual's ability to monitor and regulate their own cognitive processes, including self-assessment and control of cognitive activities such as memory, learning, and problem-solving. Metacognitive monitoring is a core component of metacognition, involving the real-time monitoring and adjustment of an individual's cognitive state when performing tasks.
[0041] Behavioral tasks refer to the process of designing specific cognitive tasks, such as memory recall and problem solving, to observe an individual's performance and infer their metacognitive monitoring level.
[0042] EEG tasks refer to the use of electroencephalography (EEG) technology to record an individual's brain electrical activity while performing a task and to analyze the neural mechanisms of their cognitive processes. To this end, a measurement paradigm for individual sensorimotor metacognitive monitoring ability (motor trajectory judgment paradigm) was designed and presented in the form of a tool. Simultaneously, behavioral and EEG data were combined to comprehensively monitor the individual's sensorimotor metacognitive monitoring level. This approach enables effective monitoring, measurement, and research of an individual's sensorimotor metacognitive monitoring ability by integrating behavioral and EEG information.
[0043] Furthermore, as Figure 1 In terms of specific implementation of the method, this application provides a sensorimotor metacognitive testing platform, such as... Figure 5 As shown, the platform includes: The test ball collision module 201 is used to respond to any motion trajectory judgment task triggered by the subject. For the target ball and the collision ball in the test box corresponding to the motion trajectory judgment task, the target ball and the collision ball move diagonally upward towards each other with the same speed and symmetrical angle until a collision occurs. The target ball and the collision ball have the same density but different diameters. The target ball and the collision ball are completely symmetrical in their initial positions before the movement. Air resistance and energy loss after the collision are ignored when the target ball and the collision ball move. The motion trajectory masking module 202 is used to mask the motion trajectory of the target ball and the colliding ball when they are about to collide. After the target ball and the colliding ball collide, they continue to move until they touch the test box and then stop. The test position generation module 203 is used to display two test positions on the edge of the test box for the target ball that may eventually stop, wherein one test position represents the correct stopping point and the other test position represents the incorrect stopping point; The subject information receiving module 204 is used to receive the test location confirmed by the subject in the motion trajectory judgment task, and the confidence score submitted by the subject for the test location based on the 7-point Likert scale, wherein, in the 7-point Likert scale, a confidence score of 1 represents complete uncertainty, and a confidence score of 7 represents complete certainty. The test score generation module 205 is used to obtain the subject's sensorimotor metacognitive comprehensive test score based on the test position confirmed by the subject in multiple different motion trajectory judgment tasks, as well as the confidence score of the test position.
[0044] It should be noted that other corresponding descriptions of the functional units involved in the sensorimotor metacognitive testing platform provided in this application embodiment can be found in [reference]. Figure 1 The corresponding descriptions in the method will not be repeated here.
[0045] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented using software plus necessary general-purpose hardware platforms, or it can be implemented using hardware for the motion trajectory judgment task. The target ball and the colliding ball within the test box move diagonally upwards towards each other at the same speed and symmetrical angle until a collision occurs. When the target ball and the colliding ball are about to collide, their motion trajectories are obscured. Two test positions where the target ball may eventually stop are displayed at the edge of the test box. The test positions confirmed by the subject in the motion trajectory judgment task, as well as the subject's confidence score for the test positions based on a 7-point Likert scale, are received. Based on the test positions confirmed by the subject in multiple different motion trajectory judgment tasks, and the confidence scores for the test positions, a comprehensive sensorimotor metacognitive test score is obtained for the subject. By evaluating sensorimotor metacognition in the form of a motion trajectory judgment task, the accuracy and reliability are improved.
[0046] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of a preferred embodiment, and the modules or processes shown in the drawings are not necessarily essential for implementing this application. Those skilled in the art will understand that the modules in the platform within the embodiment can be distributed within the platform as described in the embodiment, or they can be modified to reside in one or more platforms different from this embodiment. The modules in the above-described embodiment can be merged into one module, or further divided into multiple sub-modules.
[0047] The serial numbers in this application are for descriptive purposes only and do not represent the superiority or inferiority of any particular implementation scenario. The above disclosures are merely a few specific implementation scenarios of this application; however, this application is not limited thereto, and any modifications that can be made by those skilled in the art should fall within the protection scope of this application.
Claims
1. A sensorimotor metacognitive testing method, characterized in that, The method includes: In response to any motion trajectory judgment task triggered by the subject, for the target ball and the colliding ball in the test box corresponding to the motion trajectory judgment task, the target ball and the colliding ball move diagonally upward towards each other with the same speed and symmetrical angle until a collision occurs. The target ball and the colliding ball have the same density but different diameters. The target ball and the colliding ball are completely symmetrical in their initial positions before the movement. Air resistance and energy loss after the collision are ignored when the target ball and the colliding ball move. When the target ball and the colliding ball are about to collide, the movement trajectories of the target ball and the colliding ball are blocked. After the target ball and the colliding ball collide, they continue to move until they touch the test box and stop. Two test locations are displayed at the edge of the test box for the target ball to eventually stop. One test location represents the correct stopping point, and the other test location represents the incorrect stopping point. The test location identified by the subject in the motion trajectory judgment task is received, along with the confidence score submitted by the subject for the test location based on a 7-point Likert scale, where a confidence score of 1 indicates complete uncertainty and a confidence score of 7 indicates complete certainty. Based on the test locations identified by the subjects in multiple different motion trajectory judgment tasks, as well as their confidence scores for those test locations, the subjects' sensorimotor metacognitive comprehensive test scores were obtained.
2. The method according to claim 1, characterized in that, The motion trajectory determination task corresponds to a collision environment, which includes a gravity environment and a zero-gravity environment. The step of moving the target ball and the colliding ball at the same speed and a symmetrical angle diagonally upwards towards each other until a collision occurs includes: When the motion trajectory determines that the task is a gravity environment, the target ball and the collision ball are moved at the same speed and symmetrical angles towards each other at an oblique upward direction until they fall to the bottom of the test box and collide. When the motion trajectory indicates that the task is in a zero-gravity environment, the target ball and the collision ball are moved at the same speed and at a symmetrical angle towards each other at an oblique upward angle until they collide above the test box.
3. The method according to claim 1, characterized in that, The test box has corresponding coordinate axes, including the X-axis and the Y-axis. The motion speed includes the X-axis motion speed and the Y-axis motion speed. When the target ball and the colliding ball move diagonally upward towards each other with the same motion speed and a symmetrical angle, the magnitude of the X-axis motion speed of the target ball and the colliding ball is the same but the direction is opposite, and the magnitude and direction of the Y-axis motion speed are exactly the same.
4. The method according to claim 1, characterized in that, The movement speeds include 2.5 cm / s, 3 cm / s, 3.5 cm / s, 4 cm / s, 4.5 cm / s, and 5 cm / s, and the diameters include 0.8 cm, 0.9 cm, and 1 cm.
5. The method according to claim 1, characterized in that, The sensorimotor metacognitive comprehensive test score is obtained based on the test location identified by the subject in multiple different motion trajectory judgment tasks, and the confidence score of the test location. This score includes: For the test locations identified by the subjects in each motion trajectory judgment task, the ratio of the number of test locations representing correct stopping points to the total number of motion trajectory judgment tasks was calculated, and the calculated ratio was determined as the overall performance index value. When the overall performance index value is less than the preset performance index threshold, a second-order subject judgment confidence feature curve is constructed based on the confidence scores of the test positions confirmed by the subjects in multiple different motion trajectory judgment tasks. Based on the subject judgment confidence feature curve, the subject's sensorimotor metacognitive comprehensive test score is calculated. When the overall performance index value is greater than or equal to the preset performance index threshold, the deviation between the subject's confidence rating and actual performance in each motion trajectory judgment task is evaluated, and the evaluated deviation is quantified to obtain the subject's sensorimotor metacognitive comprehensive test score. The actual performance is represented by whether the test position is correct or not.
6. The method according to claim 1, characterized in that, When the subject performs a motion trajectory judgment task, the subject is located at a preset distance on the screen displaying the test box, the preset distance including 60 centimeters.
7. The method according to any one of claims 1 to 6, characterized in that, The method further includes: Acquire brainwave activity data of subjects while performing a motion trajectory judgment task; For any given motion trajectory judgment task performed by the subject, the correlation between the sensorimotor metacognitive integrated test score and the EEG activity data of the subject in the motion trajectory judgment task is extracted by combining the subject's sensorimotor metacognitive integrated test score and the EEG activity data. The EEG activity data is used to characterize the neural mechanism of the subject's cognitive process in the motion trajectory judgment task. Based on the correlation between sensorimotor metacognitive integrated test scores and EEG activity data, a sensorimotor metacognitive test score prediction model is constructed, wherein the sensorimotor metacognitive test score prediction model is used to predict the subject's sensorimotor metacognitive integrated test score based on the subject's EEG activity data.
8. The method according to claim 7, characterized in that, The acquisition of EEG activity data of subjects during the motion trajectory judgment task includes: Electroencephalography (EEG) technology was used to record the brain activity data of subjects when they performed a motion trajectory judgment task.
9. A sensorimotor metacognitive testing platform, characterized in that, For implementing the method as described in claims 1 to 8, the platform comprises: The test ball collision module is used to respond to any motion trajectory judgment task triggered by the subject. For the target ball and the collision ball in the test box corresponding to the motion trajectory judgment task, the target ball and the collision ball move diagonally upward towards each other with the same speed and symmetrical angle until a collision occurs. The target ball and the collision ball have the same density but different diameters. The target ball and the collision ball are completely symmetrical in their initial positions before the movement. Air resistance and energy loss after the collision are ignored when the target ball and the collision ball move. The motion trajectory masking module is used to mask the motion trajectory of the target ball and the colliding ball when they are about to collide. After the target ball and the colliding ball collide, they continue to move until they touch the test box and stop. The test position generation module is used to display two test positions on the edge of the test box for the target ball that may eventually stop. One test position represents the correct stopping point and the other test position represents the incorrect stopping point. The subject information receiving module is used to obtain the test location confirmed by the subject in the motion trajectory judgment task, and the confidence score submitted by the subject for the test location based on the 7-point Likert scale, wherein a confidence score of 1 in the 7-point Likert scale represents complete uncertainty, and a confidence score of 7 represents complete certainty. The test score generation module is used to obtain the subject's sensorimotor metacognitive comprehensive test score based on the test position confirmed by the subject in multiple different motion trajectory judgment tasks, as well as the confidence score of the test position.
10. The sensorimotor metacognitive testing platform according to claim 9, characterized in that, The platform also includes: The EEG activity data acquisition module is used to record the EEG activity data of subjects when performing a motion trajectory judgment task using electroencephalography (EEG) technology.