WO2021147903A1 - 多人协作的认知能力训练方法、装置及存储介质 - Google Patents

多人协作的认知能力训练方法、装置及存储介质 Download PDF

Info

Publication number
WO2021147903A1
WO2021147903A1 PCT/CN2021/072879 CN2021072879W WO2021147903A1 WO 2021147903 A1 WO2021147903 A1 WO 2021147903A1 CN 2021072879 W CN2021072879 W CN 2021072879W WO 2021147903 A1 WO2021147903 A1 WO 2021147903A1
Authority
WO
WIPO (PCT)
Prior art keywords
training
tracking
set speed
subject
speed
Prior art date
Application number
PCT/CN2021/072879
Other languages
English (en)
French (fr)
Inventor
赵起超
杨苒
Original Assignee
北京津发科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京津发科技股份有限公司 filed Critical 北京津发科技股份有限公司
Publication of WO2021147903A1 publication Critical patent/WO2021147903A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00—Simulators for teaching or training purposes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/163—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state by tracking eye movement, gaze, or pupil change
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis

Definitions

  • the invention belongs to the technical field of cognitive ability evaluation and training, and in particular relates to a method, device and storage medium for multi-person collaborative cognitive ability training.
  • the purpose of the present invention is to address the shortcomings of the prior art, and provide a method, device and storage medium for training cognitive abilities of multi-person collaboration, so as to overcome the inability of the prior art to recognize the ability of teams and individuals in the process of multi-person collaboration. Conduct evaluation and training issues.
  • the present invention provides a multi-person collaborative cognitive ability training method, including:
  • K is a positive integer
  • the neutral recognition result includes the individual neutral recognition accuracy rate of each subject and the overall neutral recognition accuracy rate of the subject;
  • the target object in the interactive interface to stop moving, receive and synchronously display in the interactive interface the recognition status of the subject corresponding to each training machine to the tracking target after the mark is removed, and generate a tracking confirmation result,
  • the tracking confirmation result includes the number of correct individual tracking of each subject and the total number of correct tracking of the subject;
  • the K+1th trial training is performed according to the adjusted first set speed.
  • the method before controlling multiple trainers to display the interactive interface synchronously, the method further includes:
  • the initial training parameters including: the first set number, the second set number, the first set speed, the second set speed, the first set The duration, the initial value of the second set duration, the shape and size of the target object, and the number of trials.
  • determining the increment of the first set speed according to the tracking confirmation result and adjusting the first set speed includes:
  • the method further includes:
  • the first set speed is adjusted according to the reduced standard speed increment.
  • the method further includes:
  • K+1 trial training is performed according to the adjusted second set speed.
  • the multi-person collaborative cognitive ability training method of the present invention determines the increment of the first set speed according to the tracking confirmation result, and before adjusting the first set speed, further include:
  • the gaze information includes at least the gaze information generated by each subject during the Kth trial training.
  • the gaze information is recorded and stored or synchronously displayed in the interactive interface, so that each subject can adjust the collaboration mode according to the gaze information to reduce repeated visual processing of the same tracking target or the same standard gap.
  • determining the increment of the first set speed according to the tracking confirmation result, and before adjusting the first set speed further includes:
  • the physiological index data includes at least: skin temperature data, skin electrical data, heart rate data, blood pressure data, and brain electricity data, and calculate emotional arousal according to the physiological index data
  • the degree of cognitive training can be improved by replacing the collaborative method with a higher degree of emotional arousal.
  • the method before performing the K+1th trial training according to the adjusted first set speed, the method further includes:
  • the present invention also provides a computer device including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, and the processor implements the steps of the above method when the program is executed.
  • the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are realized.
  • the multi-person collaborative cognitive ability training method, device and storage medium of the present invention evaluate the state of the team's cognitive ability according to the team goal tracking results and the gap recognition results during the team's collaborative target tracking and gap recognition process , And adjust the difficulty of training according to the state of the team's cognitive ability, which improves the adaptability and stability of the team's cognitive ability training.
  • FIG. 1 is a schematic flowchart of a multi-person collaborative cognitive ability training method according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of the display content of the interactive interface in the method for multi-person collaborative cognitive ability training according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of the flow structure of a method for multi-person collaborative cognitive ability training according to another embodiment of the present invention.
  • FIG. 4 is a schematic diagram of the operation flow of a system including the multi-person collaborative cognitive ability training method according to an embodiment of the present invention.
  • adjectives such as first and second can only be used to distinguish one element or action from another element or action, without requiring or implying any actual relationship or order. Where circumstances permit, the reference element or component or step (etc.) should not be interpreted as being limited to only one of the element, component, or step, but may be one or more of the element, component, or step, etc.
  • Fig. 1 is a flowchart of a multi-person collaborative cognitive ability training method according to an embodiment of the present invention.
  • this application provides the method operation steps or device structures shown in the following embodiments or drawings, they are based on conventional or unnecessary Creative work may include more or fewer operation steps or module units in the method or device.
  • the execution order of these steps or the module structure of the device is not limited to the execution order or module structure shown in the description of the embodiments of this application and the drawings.
  • the described method or module structure is applied to an actual device or terminal product, it can be executed sequentially or in parallel according to the method or module structure connection shown in the embodiments or drawings (for example, parallel processors or multi-threaded processing Environment, even distributed processing environment).
  • An embodiment of the present invention provides a multi-person collaborative cognitive ability training method, as shown in FIG. 1 and FIG. 2, including steps S101 to S106:
  • Step S101 In the K-th trial training, control multiple training machines to display the interactive interface synchronously, the interactive interface displays the first set number of target objects, and the target objects move in the training machine interface at the first set speed, and K is positive Integer.
  • training programs are required to be made for the team to ensure that it can provide a platform for the team to work together as a whole.
  • the interactive interface is displayed synchronously by controlling multiple training machines to ensure that each subject in the test team can track and identify the same task, and the training is carried out on a team basis. Collaboration strategy training and promotion between the two provide an interactive platform.
  • a master computer may be set separately, or one of the training machines may be used as a master computer to receive, process, and summarize data, and to generate a unified interactive interface.
  • the interactive interface may include a system entry interface, a user name and password login interface, a system homepage, and options such as entering training, entering evaluation, viewing evaluation and training records, and exiting the system in the system homepage.
  • the training progress is promoted.
  • the present invention controls each training machine to display the interactive interface synchronously, in the interactive interface, a first set number of target objects are displayed as a mark as a tracking target in the follow-up tracking process.
  • the number of target objects can be determined according to the number of subjects in the test team. The greater the number of subjects, the greater the number of target objects can be set. In some embodiments, Set the target object according to the specified multiple of the number of subjects.
  • the first set number of target objects and the first set speed are determined in combination with the overall cognitive ability of the team. It is generally believed that the greater the number of subjects that make up the team, the stronger the overall cognitive ability of the team. In the tracking task in this embodiment, a larger first set number and first set speed can be set to match it.
  • the movement of the target object can be a uniform linear motion or a curved motion, but the trajectory of the target object should be continuity and always within the interactive interface, that is, to ensure that the subjects can be able to move during the training process. Observe continuously.
  • Step S102 Add a mark to the second set number in the target object as the tracking target, and display the mark for the first set time period.
  • this embodiment uses the second set number mark in the target object as the tracking target, and serves as the same tracking task for the test team to perform tracking training .
  • the second set number can be determined with reference to the overall cognitive ability of the team. The stronger the overall cognitive ability of the team, the larger the second set number, and vice versa.
  • the team is formed The larger the number of subjects, the more marked tracking targets, so that the difficulty of the training test task matches the overall cognitive ability of the tested team.
  • the first set duration can be determined with reference to the overall cognitive ability of the team. The stronger the overall cognitive ability of the team, the shorter the first set duration is set, and vice versa. Specifically, in the embodiment of the present invention, in order to accurately reflect and train the overall cognitive ability of the team, in each trial training, the first set duration is controlled to be unchanged, and only the speed of the target object is used as a variable. To ensure uniform evaluation standards.
  • the tracking target motion mode after adding the mark does not change. It can be a uniform linear motion or a curved motion. At the same time, it should ensure the continuity of the tracking target motion trajectory and always be within the interactive interface to ensure that each subject is tested The person can continue to observe effectively and coherently.
  • Step S103 Referring to FIG. 2, after removing the mark of the tracking target, control all target objects to move uniformly at a second set speed for a second set time period, and receive the test of each training machine corresponding to the standard gap between the target objects.
  • the neutral recognition result includes the individual neutral recognition accuracy rate of each subject and the overall neutral recognition accuracy rate of the subject.
  • the white circle marks on the outside of each target object are the tracking targets.
  • the white circle mark disappears during the neutral identification process, and each subject recognizes and confirms the standard neutral.
  • each subject After each subject in the test team completes the observation of the tracking target for the first set time, each subject completes the identification and memory of the tracking target.
  • each tracking target moves at a constant speed for a second set duration at a second set speed.
  • each subject is required to perform gap recognition, which interferes with the recognition of the tracking target after the mark is removed, so as to improve the effectiveness of training and training evaluation results.
  • the neutral position is directly detected by the training machine or the control machine, which is defined as the blank area between each target object during the movement. Further, the larger blank area is defined as the standard neutral position, which is used as the test subject. The goal of neutral recognition.
  • each target object in the process of neutral recognition moves in a random straight line, and each target object will bounce after colliding with each other, and collision and bounce will also occur when reaching the boundary of the interactive interface, so as to ensure that each target object is moving.
  • the continuity of the middle trajectory realizes effective differentiation and tracking.
  • the gap recognition result includes the individual recognition result of each subject and the overall recognition result of the subject.
  • the individual recognition result of each subject is the correct rate of multiple gap recognition;
  • the overall recognition result of the subject may include the correct rate of multiple gap recognition of all people in the test team, and the accuracy of multiple gap recognition
  • the gap recognition process the consistency of gap recognition among the subjects of the test team. While responding to the test team’s cognitive abilities, it also judges the cognitive abilities of each individual subject in the team, which is used to provide a basis for the test team’s subsequent communication analysis and collaborative strategy formulation process to achieve Targeted improvements.
  • Step S104 Referring to Fig. 2, control the target object in the interactive interface to stop moving, receive and synchronously display in the interactive interface the recognition status of the subjects corresponding to each training machine to the tracked target after removing the mark, generate the tracking confirmation result, and track Confirmation results include the correct number of individual subjects tracked and the number of correct subjects tracked overall.
  • each target object is controlled to stop exercising.
  • the subjects corresponding to each training machine select the results obtained by their own tracking.
  • Each training machine summarizes the results selected by each subject and displays them simultaneously.
  • step S103 In order to achieve the final determination of the tracking target, after completing the neutral recognition in step S103, all target objects in the interactive interface are controlled to stop moving. Each subject of the test team marks and confirms the multiple tracking targets that they finally recognize by clicking to confirm or other marking methods on the corresponding training machine.
  • the main control computer receives the results selected by each subject in the process of identifying the tracking target, and summarizes the results, and At the same time, it is displayed in the interactive interface, so that each subject can observe the tracking confirmation of other individuals in the test team on the tracking target on the corresponding training machine.
  • the entire tracking task is completed collaboratively.
  • the embodiment of the present invention provides conditions for implementing collaborative strategies between individual subjects.
  • the tracking confirmation results include the number of correct individual tracking of each subject and the number of correct tracking of the subjects overall.
  • the number of correct individual tracking of each subject is the number of tracking targets correctly identified by the subject.
  • the total number of correct tracking targets is the number of tracking targets correctly identified by the test team. Among them, the total number of subjects tracked correctly is used to reflect the overall cognitive ability of the test team, and the number of correct individual tracking of each subject is used to evaluate the cognitive ability of each subject separately for the development and adjustment of collaborative strategies refer to.
  • the number of targets identified and tracked by each subject can be adjusted according to the collaboration strategy.
  • each subject in the process of identifying 10 tracking targets by a test team of 10 subjects, each subject may be required to identify all 10 tracking targets, or each subject may be required to track 5 Target recognition.
  • the formulation and implementation of the tracking strategy can be prompted in the interactive interface through each training machine, so as to realize the detection and evaluation of the cognitive effects of different collaboration strategies. It can also be carried out directly through the communication between the subjects to complete the communication of the collaboration strategy.
  • Step S105 Determine the increment of the first set speed according to the tracking confirmation result, and adjust the first set speed.
  • the increment of the moving speed of the target object in the interactive interface is adaptively confirmed according to the tracking confirmation result, that is, the increment of the first set speed.
  • the step S105 determines the increment of the first set speed according to the tracking confirmation result, and adjusts the first set speed, which may include S1051 to S1052:
  • S1052 Increase the first set speed according to the standard speed increment.
  • the standard speed increment is a preset value.
  • the method for determining the increment of the first set speed is a fixed mode, and the test team does not refer to the results of the neutral position recognition and tracking confirmation results in the Kth trial training.
  • a fixed amount is added to the first set speed to increase the difficulty of the team's cognitive ability training process.
  • the standard speed increment in the fixed mode can be zero, that is, the first set speed in each trial training remains unchanged, that is, the difficulty of the task remains unchanged, and the test team can adjust it by itself.
  • the collaboration strategy achieves the improvement of gap recognition results and target tracking results. This mode is generally suitable for situations where the initial training parameters are high and the training difficulty is higher than the cognitive ability of the tested team from the beginning.
  • step S1051 that is, after obtaining the standard speed increment of the first set speed
  • step S201 to S203 are further included:
  • S201 Obtain the total tracking correct number of subjects corresponding to each training machine in the tracking confirmation result, and calculate the total tracking loss number of the subjects.
  • S202 Decrease the standard speed increment according to the total tracking loss of the subject, and for each increase in the total tracking loss of the subject, a designated parameter or ratio is lowered for the standard speed increment.
  • the method for determining the increment of the first set speed is the adaptive mode.
  • the standard increment of speed On the basis of setting the standard increment of speed, it is further combined with the total number of subjects in the training process of the test team during the Kth trial. Track the correct quantity and adjust the standard speed increment. Specifically, when the total number of subjects tracked correctly is equal to the total number of tracked targets, that is, when the number of subjects tracked correctly is equal to the second set number, it means that the test team has identified all tracking targets, and then follow the standard
  • the speed increment adjusts the first set speed. When the total number of subjects tracked correctly is less than the total number of tracked targets, it means that the test team has failed to identify all the tracking targets.
  • each tracked target lost by the test team indicates its cognitive ability The worse, the corresponding need to reduce the tracking target speed increment in the K+1th trial training. Therefore, for each increase in the number of losses, the specified parameter or ratio is lowered for the standard speed increment.
  • the total number of tracking targets is 10, and the total number of subjects tracked correctly is 10, then the first set speed is increased according to the standard speed increment v.
  • the total number of tracking targets is 10, and the number of subjects who tracked correctly is 9, then the standard speed increment v is reduced by 10% to 0.9v, according to 0.9v Increase the first set speed.
  • Step S106 Perform the K+1th trial training according to the adjusted first set speed.
  • step S101 that is, before controlling multiple training machines to display the interactive interface synchronously, the method further includes:
  • the initial training parameters include: the first set number, the second set number, the first set speed, the second set speed, the first set duration, the initial value of the second set duration , The shape and size of the target object and the number of trials.
  • the value of each initial training parameter at the beginning of the training is determined. Specifically, under normal circumstances, the larger the number of the tested team, the stronger the overall cognitive ability, and the longer the initial cooperation time of the tested team, the stronger the cognitive ability. Therefore, before the training starts, the initial training parameters can be set targeted to save training time.
  • the gap recognition result and the tracking confirmation result of the Kth trial training in step S103 and step S104 can be used to evaluate the cognitive ability of the test team.
  • the total number of subjects tracked correctly in the tracking confirmation result can be used to reflect the overall cognitive ability of the tested team.
  • it can effectively identify all tracking targets or a specified proportion of tracking targets.
  • the target object and the first set speed of tracking the target continue to increase, gradually reaching the cognitive ability limit of the tested team, and it is impossible to complete the recognition of all or a specified proportion of the tracking target.
  • the first set speed corresponding to the training trial can be used as the tracking speed threshold under the corresponding number of tracking targets to evaluate the cognitive ability of the tested team.
  • the correct rate of the overall gap recognition of the subjects can be output as a basis for auxiliary evaluation.
  • the tracking speed threshold and the neutral recognition accuracy rate are weighted to obtain a score, and the weight can be set according to the actual situation.
  • the first set speed corresponding to the training of the 21st trial can be used as the tracking speed threshold under the 10 tracked targets to evaluate the tested team’s recognition of the 10 tracked targets. Know the limit of ability.
  • step S105 that is, after determining the increment of the first set speed according to the tracking confirmation result, and after adjusting the first set speed
  • step S301 to S302 are further included:
  • S301 Determine the increment of the second set speed according to the neutral gear recognition result, and adjust the second set speed
  • step S105 in order to continuously improve the cognitive ability of the tested team, it is necessary to gradually increase the difficulty of training.
  • the increase in the moving speed of the target object in the neutral recognition stage is adaptively adjusted according to the neutral recognition result, that is, the increase in the second set speed.
  • the fixed mode and the adaptive mode can be used for the determination of the second set speed increment.
  • the multi-person collaborative cognitive ability training method of the present invention before step S105, that is, determining the increment of the first set speed according to the tracking confirmation result, and before adjusting the first set speed, include:
  • the gaze information includes at least the position of each subject’s gaze point during the Kth trial training. Coordinates and timestamp;
  • the gaze information is recorded and stored or simultaneously displayed in the interactive interface, so that each subject can adjust the collaboration mode according to the gaze information to reduce the repeated visual processing of the same tracking target or the same standard gap.
  • the eye movement data can include the eye movement point coordinates of the subject obtained according to the specified interval (the coordinates of the intersection point between the extension line of the visual direction and the interactive interface of each training machine ) And the eye movement angular velocity corresponding to each eye movement point; further, the eye movement point whose eye movement angular velocity is less than the set value is marked as the fixation point.
  • the gaze information of each subject may also be displayed after the training is completed for analysis.
  • the eye movement data of the subjects corresponding to each training machine can be continuously received, and the first entry time and first fixation point of each subject to each tracking target and each standard slot can be calculated based on the eye movement data.
  • Time, continuous gaze time, and number of gazes Calculate the visual processing overlap time of each subject for the same tracking target and the same standard gap, and adjust the collaboration method according to the visual processing overlap time to reduce the same tracking target and the same standard for each subject Neutral visual processing overlap time.
  • the difference between the tracking target and the standard gap visual processing of the subjects in the multi-person collaborative cognition process can provide effective research on different collaborative strategies in the multi-person collaborative cognition process.
  • it also provides subjects with visual gaze information during training, for subjects to compare their own observation content and differences with other subjects, and adjust collaborative cognition based on these feedback information Strategies to improve cooperation efficiency.
  • eye movement data can reflect the overlap time of visual processing of the same tracking target between a subject and other subjects, and judge whether the collaborators have too much repeated visual processing on certain tracking targets, that is, the cooperation efficiency is low According to this, adjust the collaboration method to reduce the repetitive visual processing of the tracked target.
  • the visual processing overlap time reflects whether each subject shows a high degree of consistency in the processing of the standard gap, and the cooperation strategy is adjusted accordingly to improve the gap recognition rate.
  • the multi-person collaborative cognitive ability training method of the present invention before step S105, that is, determining the increment of the first set speed according to the tracking confirmation result, and before adjusting the first set speed, include:
  • the physiological index data includes at least: skin temperature data, skin electrical data, heart rate data, blood pressure data, and EEG data, and calculate the degree of emotional arousal based on the physiological index data.
  • the physiological index data includes at least: skin temperature data, skin electrical data, heart rate data, blood pressure data, and EEG data, and calculate the degree of emotional arousal based on the physiological index data.
  • the overall standard deviation of the sinus rhythm interval can be used as an emotional indicator to reflect the emotional changes of the subject.
  • the ratio of 0.04Hz low-frequency power and 0.15-0.4Hz high-frequency power can reflect the activity of sympathetic nerves; among them, the greater the LF/HF value, the higher the emotional arousal.
  • the degree of emotional arousal can also be calculated comprehensively based on skin temperature data, electrical skin data, heart rate data, blood pressure data, and EEG data.
  • the method of calculating the degree of emotional arousal is the existing technology, so it will not be repeated.
  • the degree of emotional arousal in the process of target tracking and empty crotch recognition is reflected in the emotional state and neural activity of each subject under a specific cooperation strategy, which is used to evaluate the cooperation strategy and cooperation efficiency in the process of cooperative cognitive processing
  • the relationship with variables such as the degree of emotional arousal can also guide the transformation of cooperation strategies to obtain a higher degree of emotional arousal and make the training effect better.
  • the cooperation strategy can be adjusted, and the training method can be changed, so that the subject’s emotional state is better and the sympathetic nerve activity is higher. In order to achieve a better collaborative cognitive effect.
  • the method before step S106, that is, before performing the K+1th trial training according to the adjusted first set speed, the method further includes:
  • a training progress report is generated to record the totality of each subject, that is, the recognition performance of the test team in each trial training, to reflect the training progress of the test team and the cognitive ability of multi-person collaboration Improve progress.
  • the neutral recognition result includes the correct rate of the individual neutral recognition of the subject and the correct rate of the overall neutral recognition of the subject.
  • the tracking confirmation results include the correct number of individual subjects tracked and the number of correct subjects tracked overall.
  • the present invention also provides another multi-person collaborative cognitive ability training method, as shown in Fig. 3, including steps S401 to S405:
  • Step S401 In the K-th trial training, control multiple training machines to display the interactive interface synchronously, the interactive interface displays the first set number of target objects, and the target objects move in the training machine interface at the first set speed, and K is positive Integer.
  • Step S402 Add a mark to the second set number in the target object as the tracking target, and display the mark for the first set time period.
  • Step S403 Remove the mark of the tracking target, and mark the original tracking target again after the target object continues to move for a third set period of time.
  • Step S404 When receiving the overall feedback from the subject to increase the training difficulty instruction, increase the first set speed and/or the second set number according to the training difficulty increase instruction; when receiving the overall feedback from the subject, reduce the training difficulty When instructing, reduce the first set speed and/or the second set number according to the instruction to reduce the difficulty of training.
  • Step S405 Perform training of K+1 trials according to the increased or decreased first set speed and/or second set number, wherein when the training duration reaches the fourth set duration, the training is stopped.
  • the recognition result of the tracking target and the standard gap in each trial training is determined by the subject independently, and the subject is generally based on the tracking target and the standard gap determined by the self-judgment.
  • the recognition result of the training machine is fed back to the training machine to increase the training difficulty instruction or reduce the training difficulty instruction to adjust the training difficulty, and perform the next trial training.
  • each subject can identify the tracking target and the standard gap in combination with a specific collaboration strategy. In a trial training, the tracking target is first marked for memory, and then the mark is eliminated for tracking and the standard gap is identified.
  • each subject After re-adding the mark to the original tracking target, each subject independently judges whether the original marked tracking target is accurately tracked, and each subject communicates the identification results of the tracking target and the standard gap in the established way in the collaborative strategy. If the recognition is correct, the training machine will be fed back to the training machine to increase the first set speed and/or the second set number. If the recognition is wrong, the feedback will be fed back to the lower training difficulty command to reduce the first set speed and/or the second set speed. Set the quantity. The training is repeated within the set training time.
  • the training mode in this embodiment is an autonomous adjustment mode, and the increase or decrease of the training difficulty is controlled according to the judgment of each subject, so that the training difficulty can be more adapted to the subject's overall cognitive ability.
  • FIG. 4 is the description in an embodiment of the present invention. As shown in FIG. 4, in an embodiment, the combination may include the following steps:
  • the homepage includes 6 parts: "Practice”, “Perform formal evaluation”, “Introduction to the evaluation training system”, “Perform formal training”, “Check evaluation and training records”, and "Exit the system”.
  • the host computer information on the client page connects the extensions of multiple people to the host, wear and turn on the corresponding eye movement or physiological indicator equipment, and then the subject will set the evaluation parameters, such as the total number of target objects, the number of tracking targets, Movement speed mode (fixed mode, adaptive mode), target object size, number of trials, etc.
  • the evaluation parameters such as the total number of target objects, the number of tracking targets, Movement speed mode (fixed mode, adaptive mode), target object size, number of trials, etc.
  • the target object will be displayed in the interactive interface, several of which are marked as tracking targets by flashing red circles, for a duration of t1;
  • the target object returns to its initial state and moves in a straight line at a uniform speed.
  • the target objects will bounce when they meet each other.
  • the target objects will also bounce when they meet the boundary of the motion area when they are in motion.
  • the duration is t2. It needs to be at any time during the movement (click method depends on Whether the eye tracking device is used or not) Click the standard slot in the tracking area;
  • the subject When the exercise is stopped, the subject is asked to point out the marked target as much as possible. After multiple people press the button to confirm, the target tracking result and the gap recognition result are displayed, including the individual score and the score calculated by multiple people. Then press the button to confirm and enter Next try.
  • “Fixed mode” means that the speed of the object in all trials remains the same. It is subject to the speed value set before the evaluation or training, and will not change (there are upper and lower speed limits).
  • the inspection standard is Each person’s tracking accuracy rate and gap recognition accuracy rate at a certain speed, the accuracy rate of multi-person and multi-target tracking merged, and the accuracy and consistency of multi-person gap recognition merged;
  • “adaptive mode” is Refers to the combination of all the selection results of the subject during the test, the next trial speed will increase when all tracking targets are identified (the increase value can be preset), and the next trial speed increment will decrease every time an additional target is lost ( The specific value can be set in advance, and the speed will not exceed the limit interval after reaching the upper and lower limits).
  • the inspection standard is the tracking speed threshold under a certain number of targets, and the accuracy and consistency of multi-person gap recognition and merger.
  • the background records and saves the various parameters and results of the evaluation, and generates the corresponding tables, line graphs and evaluations after the subjects have completed all the trials.
  • the content includes individual scores and scores calculated by multiple people, displayed in The center of the subject's field of view.
  • the formal training program After selecting the multi-person training mode, enter the formal training program, which is consistent with the evaluation program. First, enter the host computer information on the client page, connect the multi-person extension to the host, and then the subject will set the training parameters, such as the total number of target objects, Tracking target number, movement speed mode (fixed mode, adaptive mode, autonomous adjustment mode), object size, number of trials (or training duration), etc.
  • the "fixed mode” and “adaptive mode” in the "movement speed mode” are the same as the evaluation mode.
  • the “autonomous adjustment mode” refers to the uninterrupted continuous movement of all objects during a period of time.
  • the target object (the number is set before training, and can be adjusted at any time during the training process).
  • the subject compares the target he has tracked in this reminder with the target he has been tracking since the last reminder. If they are consistent, they can give feedback (through voice, gestures, buttons, etc.) to speed up the movement of the target object. Or increase the number of targets. If there is an inconsistency, it means tracking error. Correspondingly reduce the speed of the target object or reduce the number of targets (everyone makes a judgment, and finally jointly decides the speed rise and fall).
  • the inspection standard is the final tracking number after the training. And tracking speed, as well as the accuracy and consistency of multi-person gap recognition combined.
  • the present invention also provides a computer device including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, and the processor implements the steps of the above method when the program is executed.
  • the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the above method are realized.
  • the multi-person collaborative cognitive ability training method, device, and storage medium of the present invention are evaluated based on the team’s target tracking results and gap recognition results during the process of team collaboration for target tracking and gap recognition.
  • the state of the team's cognitive ability, and the difficulty of training is adjusted according to the state of the team's cognitive ability, which improves the adaptability and stability of the team's cognitive ability training.
  • it can combine the gap recognition results and tracking confirmation results of each trial in training to evaluate the cognitive ability of the tested team.
  • the speed change includes fixed mode and adaptive mode. , Three modes of independent adjustment mode.
  • the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device.
  • the device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
  • These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment.
  • the instructions provide steps for implementing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biomedical Technology (AREA)
  • Veterinary Medicine (AREA)
  • Psychology (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Educational Technology (AREA)
  • Psychiatry (AREA)
  • Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Child & Adolescent Psychology (AREA)
  • Developmental Disabilities (AREA)
  • Social Psychology (AREA)
  • Hospice & Palliative Care (AREA)
  • Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Hematology (AREA)
  • Anesthesiology (AREA)
  • Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • General Physics & Mathematics (AREA)
  • Rehabilitation Tools (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

一种多人协作的认知能力训练方法、装置及存储介质，其中多人协作的认知能力训练方法包括在目标客体中标记追踪目标供团队中各受试者追踪识别，消除标记后要求团队识别标准空档，各追踪目标停止运动供各受试者识别确认追踪目标，根据空档识别结果和追踪确认结果对下一次试次训练中目标客体的速度进行调节。通过在团队协同进行目标追踪和空档识别的过程中，根据团队目标追踪结果和空档识别结果评价团队认知能力状态，并根据团队认知能力状态调节训练难度，提高了团队认知能力训练的适应性和稳定性。

Description

多人协作的认知能力训练方法、装置及存储介质 技术领域
本发明属于认知能力评价和训练技术领域，尤其涉及一种多人协作的认知能力训练方法、装置及存储介质。
背景技术
多人团队完成任务的过程中，团队中的个人行为会影响团队整体绩效，团队成员之间形成的协作过程也会极大影响团队绩效，因此，多人完成任务的效率并不一定高于单个个体。为了更加高效的完成指定任务，便需要团队成员之间能够形成有效的彼此协同，密切配合。实际工作中，经过长期协作训练的团队合作效率明显高于未经过训练的团队，原因在于经过长期协作训练的团队成员之间形成了约定俗成的合作策略，这种合作策略能够通过训练加强。
团队在现实生活与工作中，经常要处理视觉上快速变化的复杂情境，对真实场景中诸多客体的位置、特征及运动情况保持高度稳定的注意，这都依赖于个体和团队在持续性动态注意及工作记忆等多方面的认知能力，对于团队的认知能力，一方面依赖个体认知能离开，另一方面还受团队合作策略和经验的影响，这些均可以通过训练来提升。但现有技术中，没有相关产品和方法能够在多人协作完成任务过程中，对团队和个体的认知能力进行适应性的训练。
发明内容
本发明的目的是针对现有技术的不足，提供一种多人协作的认知能力训练方法、装置及存储介质，克服现有技术中无法在多人协作过程中对团队和个体的认知能力进行评价和训练的问题。
本发明解决问题所提供的技术方案是：
一方面，本发明提供一种多人协作的认知能力训练方法，包括：
在第K试次训练中，控制多台训练机同步显示交互界面，所述交互界面显示第一设定数量目标客体，所述目标客体在所述训练机界面内按第一设定速度移动，K为正整数；
对所述目标客体中的第二设定数量添加标记作为追踪目标，显示所述标记持续第一设定时长；
去除所述追踪目标的标记后，控制所有目标客体按第二设定速度匀速移动第二设定时长，并接收各训练机对应的受试者对所述目标客体间标准空档的空档识别结果，所述空档识别结果包括各受试者个人的空档识别正确率以及受试者总体的空档识别正确率；
控制所述交互界面内的所述目标客体停止运动，接收并在所述交互界面内同步显示各训练机对应的受试者对去除标记后的所述追踪目标的识别状态，生成追踪确认结果，所述追踪确认结果包括各受试者个人追踪正确的数量以及受试者总体追踪正确的数量；
根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度；
根据调整后的所述第一设定速度进行第K+1试次训练。
在一些实施例中，控制多台训练机同步显示交互界面之前，还包括：
设置初始训练参数，所述初始训练参数包括：所述第一设定数量、所述第二设定数量、所述第一设定速度、所述第二设定速度、所述第一设定时长、所述第二设定时长的初始值、所述目标客体的形状和大小以及试次数量。
在一些实施例中，根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度，包括：
获取所述第一设定速度的标准速度增量；
根据所述标准速度增量上调所述第一设定速度。
在一些实施例中，获取所述第一设定速度的标准速度增量之后，还包括：
获取所述追踪确认结果中的各训练机对应的受试者总体追踪正确的数量，并计算受试者总体追踪丢失的数量；
根据所述受试者总体追踪丢失的数量降低所述标准速度增量，所述受试者总体追踪丢失的数量每增加一个，对所述标准速度增量下调指定参数或比例；
根据降低后的所述标准速度增量调整所述第一设定速度。
在一些实施例中，根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度之后，还包括：
根据所述空档识别结果确定所述第二设定速度的增量，并调整所述第二设定速度；
根据调整后的所述第二设定速度进行K+1试次训练。
在一些实施例中，本发明所述多人协作的认知能力训练方法，根据所述追 踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度之前，还包括：
持续接收各训练机对应的受试者的眼动数据，根据所述眼动数据获取各受试者的注视信息，所述注视信息至少包括各受试者在第K试次训练过程中产生的注视点的位置坐标和时间戳；
将所述注视信息记录存储或在所述交互界面内同步显示，供各受试者根据所述注视信息调整协作方式以减少对相同追踪目标或相同标准空档的重复视觉加工。
在一些实施例中，根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度之前，还包括：
持续接收各训练机对应的受试者的生理指标数据，所述生理指标数据至少包括：皮温数据、皮电数据、心率数据、血压数据和脑电数据，根据所述生理指标数据计算情绪唤醒程度，通过更换情绪唤醒程度更高的协作方式，以提高认知训练效果。
在一些实施例中，根据调整后的第一设定速度进行第K+1试次训练之前，还包括：
获取第1试次训练至第K试次训练中各受试者空档识别结果、追踪确认结果以及第一设定速度的增量，生成训练进度报告。
另一方面，本发明还提供一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现上述方法的步骤。
另一方面，本发明还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述方法的步骤。
本发明所述多人协作的认知能力训练方法、装置及存储介质，通过在团队协同进行目标追踪和空档识别的过程中，根据团队目标追踪结果和空档识别结果评价团队认知能力状态，并根据团队认知能力状态调节训练难度，提高了团队认知能力训练的适应性和稳定性。
附图说明
参照下面结合附图对本发明实施例的说明，会更加容易地理解本发明的以上和其它目的、特点和优点。附图中的部件不是成比例绘制的，而只是为了示 出本发明的原理。为了便于示出和描述本发明的一些部分，附图中对应部分可能被放大，即，使其相对于在依据本发明实际制造的示例性装置中的其它部件变得更大。在附图中，相同的或对应的技术特征或部件将采用相同或对应的附图标记来表示。
图1为本发明一实施例所述多人协作的认知能力训练方法的流程示意图；
图2为本发明一实施例所述多人协作的认知能力训练方法中交互界面显示内容示意图；
图3为本发明另一实施例所述多人协作的认知能力训练方法的流程结构示意图；
图4为本发明一实施例包含所述多人协作的认知能力训练方法的系统的操作流程示意图。
具体实施方式
下面参照附图来说明本发明的实施方式。在所述的说明和附图中，详细公开了本发明的特定实施方式，指明了本发明的原理可以被采用的方式。应该理解，本发明在范围上并不因而受到限制。在所附权利要求的精神和条款的范围内，本发明包括许多改变、修改和等同。
应当注意，为了清楚的目的，附图和说明中省略了与本发明无关的、本领域普通技术人员已知的部件和处理的表示和描述。
针对一种实施方式描述和/或示出的特征可以以相同或类似的方式在一个或更多个其它实施方式中使用，与其它实施方式中的特征相组合，或替代其它实施方式中的特征。
在本说明书中，诸如第一和第二这样的形容词仅可以用于将一个元素或动作与另一元素或动作进行区分，而不必要求或暗示任何实际的这种关系或顺序。在环境允许的情况下，参照元素或部件或步骤(等)不应解释为局限于仅元素、部件、或步骤中的一个，而可以是元素、部件、或步骤中的一个或多个等。
人们在现实生活与工作中，经常要处理视觉上快速变化的复杂情境，对真实场景中诸多客体的位置、特征及运动情况保持高度稳定的注意，这都依赖于个体优秀的感知觉、持续性动态注意及工作记忆等多方面的认知能力，这些认知能力可以通过训练来提升。但真实情境下，由于环境中有效及无效信息通常会远远超出单个人的认知负荷极限，人们在单独条件下难以完成一些复杂多变 的任务，尤其是需要同时执行多维度任务的情况下，多人形成高效团队来执行相应的任务就显得尤为必要。例如，在竞技运动、科研项目、军事航天、交通指挥调控等大型团队、项目或工程领域，以及日常生活和工作中都涉及大量需要多人合作完成的多复杂任务。
多人团队完成任务的过程中，团队中的个人行为会影响团队整体绩效，团队成员之间形成的协作过程也会极大影响团队绩效，因此，多人完成任务的效率并不一定高于单个个体。为了更加高效的完成指定任务，便需要团队成员之间能够形成有效的彼此协同，密切配合。实际工作中，经过长期协作训练的团队合作效率明显高于未经过训练的团队，原因在于经过长期协作训练的团队成员之间形成了约定俗成的合作策略，这种合作策略能够通过训练加强。
图1为本发明一实施例所述多人协作的认知能力训练方法的流程图，虽然本申请提供了如下述实施例或附图所示的方法操作步骤或装置结构，但基于常规或者无需创造性的劳动在所述方法或装置中可以包括更多或者更少的操作步骤或模块单元。在逻辑性上不存在必要因果关系的步骤或结构中，这些步骤的执行顺序或装置的模块结构不限于本申请实施例描述及附图所示的执行顺序或模块结构。所述的方法或模块结构的在实际中的装置或终端产品应用时，可以按照实施例或者附图所示的方法或模块结构连接进行顺序执行或者并行执行(例如并行处理器或者多线程处理的环境，甚至分布式处理环境)。
本发明一实施例提供一种多人协作的认知能力训练方法，如图1和图2所示，包括步骤S101～S106：
步骤S101：在第K试次训练中，控制多台训练机同步显示交互界面，交互界面显示第一设定数量目标客体，目标客体在训练机界面内按第一设定速度移动，K为正整数。
具体的，为了实现在多人团队协作过程中的认知能力的提升，要求训练方案针对团队做出，确保能够提供团队整体协同工作的平台。在本实施例中，通过控制多台训练机同步显示交互界面，以确保了受试团队中各受试者能够针对同一任务进行追踪识别，以团队为单位进行训练，为各受试者个体之间的协作策略训练和提升提供了交互平台。
进一步地，多台训练机之间的信息相互传递、汇总并同步显示，即多台训练机之间操作者的各项操作、各指标传输、反馈及其结果呈现是实时交替和同步的，且无延迟。具体的，在一些实施例中，可以通过单独设置一台主控机， 又或者将训练机中的一台作为主控机进行数据接收、处理和汇总，以及生成统一的交互界面。具体的在一些实施例中，交互界面可以包括系统进入界面、用户名和密码登录界面、系统首页、以及系统首页内的进入训练、进入测评、查看测评和训练记录、退出系统等选项。
在本发明实施例中，为了实现对团对整体认知能力进行适应性的训练，并在对认知效果的不断检测过程中，推进训练进度。本发明通过控制各训练机同步显示交互界面，在交互界面内，显示第一设定数量的目标客体，作为后续追踪过程中进行标记作为追踪对象。具体的，目标客体的数量，也即第一设定数量可以根据受试团队中受试者的数量确定，受试者数量越多可以设置目标客体的数量越多，在一些实施例中，可以按照受试者数量的指定倍数设置目标客体。目标客体的第一设定数量和第一设定速度是结合团队整体的认知能力进行确定的，一般认为，组成团队的受试者数量越多，则团队整体的认知能力越强，在本实施例中的追踪任务中，可以与之匹配的设置较大的第一设定数量和第一设定速度。
进一步地，目标客体的移动方式可以是匀速直线运动，也可以是曲线运动，但应当保证目标客体运动轨迹连贯性，并且始终在交互界面之内，也即保障各受试者在训练过程中能够连续观察到。
步骤S102：对目标客体中的第二设定数量添加标记作为追踪目标，显示标记持续第一设定时长。
以实现训练、及时检测受试团队的认知效果和认知能力为目的，本实施例通过将目标客体中的第二设定数量标记作为追踪目标，作为同一追踪任务供受试团队进行追踪训练。具体的，第二设定数量可以及参照团队整体的认知能力进行确定，团队整体的认知能力越强则第二设定数量越大，反之则越小；在一些实施例中，组成团队的受试者数量越多，所标记的追踪目标越多，以使得训练测试任务难度与受试团队整体的认知能力水平向匹配。
进一步地，第一设定时长可以参照团队整体的认知能力进行确定，团队整体的认知能力越强则第一设定时长设置越短，反之则越长。具体的，在本发明实施例中，为了精确反映和训练团队整体的认知能力，在每一次试次的训练中，控制第一设定时长不变，以仅以目标客体的速度作为变量，以确保统一的评价标准。
具体的，添加标记后的追踪目标运动方式不发生变化，可以是匀速直线运 动，也可以是曲线运动，同时应当保证追踪目标运动轨迹连贯性，且始终在交互界面之内，以确保各受试者能够持续有效并连贯地进行观察。
步骤S103：参照图2，去除追踪目标的标记后，控制所有目标客体按第二设定速度匀速移动第二设定时长，并接收各训练机对应的受试者对目标客体间标准空档的空档识别结果，空档识别结果包括各受试者个人的空档识别正确率以及受试者总体的空档识别正确率。
图2中，各目标客体外侧有白圈标记的为追踪目标，在空档识别过程中白圈标记消失，各受试者对标准空档进行识别和确认。
在受试团队中的各受试者在对追踪目标完成第一设定时长的观察后，各受试者完成对追踪目标的识别和记忆。为了检测各受试者以及受试团队整体的识别能力，在去除追踪目标的标记后，各追踪目标在按照第二设定速度匀速移动第二设定时长。在此期间，要求各受试者进行空档识别，干扰对于消除标记后的追踪目标的识别，以提高训练以及训练评价结果的有效性。具体的，空档有训练机或控制机直接检出，定义为各目标客体运动过程中相互之间的空白区域，进一步地，将较大的空白区域界定为标准空档，作为受试者进行空档识别的目标。
在一些实施例中，空档识别过程中的各目标客体随机直线运动，各目标客体之间相互碰撞后会反弹，在到达交互界面边界时也会发生碰撞反弹，以确保各目标客体在移动过程中轨迹的连续性，实现有效的区分和追踪。
在本发明实施例中，空档识别结果包括了各受试者个人的识别结果以及受试者总体的识别结果。具体的，各受试者个人的识别结果为多次空档识别的正确率；受试者总体的识别结果，可以包括受试团队中所有人多次空档识别的正确率，以及在单次空档识别过程中，受试团队各受试者之间空档识别的一致性。在对受试团队进行认知能力反应的同时，还分别对团队中各受试者个体进行认知能力的判断，用于为受试团队在后续交流分析以及协作策略制定过程中提供依据，实现针对性的改进。
步骤S104：参照图2，控制交互界面内的目标客体停止运动，接收并在交互界面内同步显示各训练机对应的受试者对去除标记后的追踪目标的识别状态，生成追踪确认结果，追踪确认结果包括各受试者个人追踪正确的数量以及受试者总体追踪正确的数量。
图2中，空档识别完成后，控制各目标客体停止运动，各训练机对应的受 试者分别选取自己追踪得到的结果，各训练机对各受试者选取的结果汇总后同步显示，以产生受试团队的协同作用
为了实现对于追踪目标最后的确定，在完成步骤S103中的空档识别之后，控制交互界面内的所有目标客体停止运动。受试团队的各受试者分别在对应的训练机上通过点击确定方式或者其他标注方式，标记确认其最终识别出的多个追踪目标。
在本发明实施例中，具体的，各受试者在选取确认其认定的追踪目标的过程中，主控机接收到各受试者在识别追踪目标的过程中选择的结果，进行汇总，并同时在交互界面内进行显示，使得各受试者能够在对应的训练机上观察到受试团队中其他个体对于追踪目标的追踪确认情况，在这个过程中，各受试者之前通过相互观察实现对于整个追踪任务的协同完成，通过这种方式本发明实施例为各受试者个体之间实施协同策略提供了条件。
具体的，追踪确认结果包括各受试者个人追踪正确的数量以及受试者总体追踪正确的数量，各受试者个人追踪正确的数量为受试者正确标识出的追踪目标的数量，受试者总体追踪正确的数量为受试团队正确标识出的追踪目标的数量。其中，受试者总体追踪正确的数量用于反映受试团队整体的认知能力，各受试者个人追踪正确的数量用于分别评价各受试者的认知能力为协作策略制定和调整提供参考。
在一些实施例中，每个受试者识别追踪目标的数量，可以依据协作策略进行调整。示例性的，10个受试者的受试团队识别10个追踪目标的过程中，可以要求每个受试者对10个追踪目标都进行识别，也可以要求每个受试者对5个追踪目标进行识别。追踪策略的制定和实施可以通过各训练机在交互界面中进行提示，以实现对于不同协作策略的认知效果进行检出和评价。也可以直接通过各受试者之间的交流进行，以完成协作策略的沟通。
步骤S105：根据追踪确认结果确定第一设定速度的增量，并调整第一设定速度。
为了不断提升受试团队的认知能力，需要对训练难度逐步加大。本发明实施例中，根据追踪确认结果适应性的确认交互界面中目标客体移动速度的增量，也即第一设定速度的增量。
在本发明实施例中，确定第一设定速度的增量的方法可以有多种，例如，固定模式，自适应模式。
在一些实施例中，步骤S105中根据追踪确认结果确定第一设定速度的增量，并调整第一设定速度，可以包括S1051～S1052：
S1051：获取第一设定速度的标准速度增量。
S1052：根据标准速度增量上调第一设定速度。
其中，标准速度增量是预先设定的值。在本实施例中，确定第一设定速度的增量的方法为固定模式，不以受试团队在第K试次训练中空档识别结果和追踪确认结果为参照，在第K+1试次的训练中，对第一设定速度增加固定的量，以实现团队认知能力训练过程中难度的提升。
在另一实施例中，固定模式下的标准速度增量可以为零，也即每一试次训练中的第一设定速度保持不变，也即任务难度不变，由受试团队自行调整协作策略实现空档识别结果和目标追踪结果的成绩提升。这种模式一般适用于初始训练参数较高，训练难度一开始就高于受试团队认知能力的情形。
在另一些实施例中，步骤S1051之后，即获取所述第一设定速度的标准速度增量之后，还包括S201～S203：
S201：获取追踪确认结果中的各训练机对应的受试者总体追踪正确的数量，并计算受试者总体追踪丢失的数量。
S202：根据受试者总体追踪丢失的数量降低所述标准速度增量，受试者总体追踪丢失的数量每增加一个，对标准速度增量下调指定参数或比例。
S203：根据降低后的标准速度增量调整第一设定速度。
在本实施例中，确定第一设定速度的增量的方法为自适应模式，在设定标准速度增量的基础上，进一步结合受试团队在第K试次训练过程中受试者总体追踪正确的数量，对标准速度增量进行调整。具体的，当受试者总体追踪正确的数量等于追踪目标的总数时，即受试者总体追踪正确的数量等于第二设定数量时，表示受试团队识别出了所有追踪目标，则按照标准速度增量调整第一设定速度。当受试者总体追踪正确的数量小于追踪目标的总数时，表示受试团队未能全部识别出所有追踪目标，在这种情形下，受试团队每多丢失一个追踪目标则表示其认知能力越差，相应的需要减少第K+1试次训练中追踪目标速度增量，因此丢失的数量每增加一个，对标准速度增量下调指定参数或比例。示例性的，在第K试次训练中，追踪目标总数为10个，受试者总体追踪正确的数量为10个，则按照标准速度增量v提高第一设定速度。又如，在第K试次训练中，追踪目标总数为10个，受试者总体追踪正确的数量为9个，则在标准速度增量 v的基础上降低10％为0.9v，根据0.9v提高第一设定速度。
步骤S106：根据调整后的第一设定速度进行第K+1试次训练。
在一些实施例中，在步骤S101之前，即控制多台训练机同步显示交互界面之前，还包括：
设置初始训练参数，初始训练参数包括：第一设定数量、第二设定数量、第一设定速度、第二设定速度、第一设定时长、所述第二设定时长的初始值、所述目标客体的形状和大小以及试次数量。
在本实施例中，针对受试团队的认知能力的初步判断，确定训练一开始各初始训练参数的值。具体的，一般情况下，受试团队人数越多其整体认知能力越强，经受过受试团队前期合作时间越长认知能力越强。因此，在训练开始前，可以针对性的设置初始训练参数，节约训练时间。
在本发明实施例中，步骤S103和步骤S104中的第K试次训练的空档识别结果和追踪确认结果能够用于评价受试团队认知能力。例如，在每次试次训练中，追踪确认结果中的受试者总体追踪正确的数量可以用于反映受试团队整体的认知能力。毋庸置疑的，在受试团队认知能力范围内，其能够有效识别出所有的追踪目标或者指定比例的追踪目标。随着训练试次的不断递进，目标客体以及追踪目标的第一设定速度的不断提高，逐渐达到受试团队的认知能力极限，出现无法完成全部或指定比例的追踪目标的识别，则可以用该训练试次下对应的第一设定速度作为对应的追踪目标数量下的追踪速度阈值，以评价受试团队的认知能力。同时可以输出受试者总体的空档识别正确率，作为辅助评价的依据。亦或者，将追踪速度阈值和空档识别正确率进行加权求评分，权重可以根据实际情况进行设置。示例性的，在受试团队的认知能力范围内，第1～20试次训练中，10个追踪目标均被受试团队全部识别正确，在第21试次的训练中，仅有9个追踪目标被受试团队全部识别正确，因此，可以将第21试次的训练对应的第一设定速度作为10个追踪目标下的追踪速度阈值，以评价受试团队对10个追踪目标的认知能力极限。
在一些实施例中，步骤S105之后，即根据追踪确认结果确定第一设定速度的增量，并调整第一设定速度之后，还包括S301～S302：
S301：根据空档识别结果确定第二设定速度的增量，并调整第二设定速度；
S302：根据调整后的第二设定速度进行K+1试次训练。
与步骤S105同理，为了不断提升受试团队的认知能力，需要对训练难度逐 步加大。本发明实施例中，根据空档识别结果适应性的调整在空档识别阶段，目标客体移动速度的增量，也即第二设定速度的增量。
在本实施例中，参照S1051～S1052以及S201～S203，对于第二设定速度增量的确定可以采用固定模式和自适应模式。
在一些实施例中，本发明所述多人协作的认知能力训练方法，在步骤S105之前，即根据追踪确认结果确定第一设定速度的增量，并调整第一设定速度之前，还包括：
持续接收各训练机对应的受试者的眼动数据，根据眼动数据获取各受试者的注视信息，注视信息至少包括各受试者在第K试次训练过程中产生的注视点的位置坐标和时间戳；
将注视信息记录存储或在交互界面内同步显示，供各受试者根据注视信息调整协作方式以减少对相同追踪目标或相同标准空档的重复视觉加工。
在本实施例中，通过记录各受试者的眼动数据，眼动数据可以包括根据指定间隔时长获取的受试者的眼动点坐标(视觉方向延长线与各训练机交互界面的交点坐标)以及各眼动点对应的眼动角速度；进一步的，将眼动角速度小于设定数值的眼动点标记为注视点。记录各受试者在第K试次训练过程中产生的注视点的位置坐标和对应的时间戳作为注视信息，将各受试者的注视信息在交互界面内同步显示，以向受试者反馈自己与其他受试者的注视信息，通过沟通交流调整协作方式，以减少对相同追踪目标或相同标准空档的重复视觉加工，提高受试者总体的认知效率。可替代的，各受试者在第K试次训练中注视信息也可以在训练结束后显示，以供分析。
在一些实施例中，可以持续接收各训练机对应的受试者的眼动数据，并根据眼动数据计算各受试者对各追踪目标和各标准空档的首次进入时间、首次注视点注视时间、持续注视时间、注视次数，计算各受试者对相同追踪目标和相同标准空档视觉处理重叠时间，并根据视觉处理重叠时间调整协作方式以减少各受试者对相同追踪目标和相同标准空档视觉处理重叠时间。
根据眼动数据反馈的各受试者在多人协作认知过程中对于追踪目标和标准空档视觉加工过程中的差异，一方面可以为研究多人协作认知过程中不同的协同策略提供有效的参考评价数据；另一方面也为受试者提供了训练时的视觉注视信息，供受试者对比自己与其他受试者的观察内容与方式的差异，并依据这 些反馈信息调整协作认知策略，提高合作效率。例如，眼动数据可以反映某一受试者与其他受试者对同一追踪目标视觉处理重叠时间，判断合作者之间是否对某些追踪目标出现过多的重复视觉加工，即合作效率较低的问题，据此调整协作方式减少对追踪目标的重复视觉加工。另一方面，通过视觉处理重叠时间反映各受试者对标准空档的处理是否表现出高度的一致性，并据此调整合作策略，以提高空档识别率。
在一些实施例中，本发明所述多人协作的认知能力训练方法，在步骤S105之前，即根据追踪确认结果确定第一设定速度的增量，并调整第一设定速度之前，还包括：
持续接收各训练机对应的受试者的生理指标数据，生理指标数据至少包括：皮温数据、皮电数据、心率数据、血压数据和脑电数据，根据生理指标数据计算情绪唤醒程度，通过变换情绪唤醒程度更的协作方式，以提高认知训练效果。
示例性地，窦性心律间隔时间总体标准差(SDNN)可以作为情绪指标反映受试者情绪变化情况，窦性心律间隔时间总体标准差越高情绪唤醒程度越高；而脑电数据中0-0.04Hz低频段功率和0.15-0.4Hz高频段功率的比值(LF/HF)可以反应交感神经活动活度；其中，LF/HF值越大表示情绪唤醒程度越高。
在另一些实施例中，也可以根据皮温数据、皮电数据、心率数据、血压数据和脑电数据综合计算情绪唤醒程度，计算情绪唤醒程度的方法为现有技术，因此不做赘述。
进一步的，根据在目标追踪和空裆识别过程中的情绪唤醒程度，反映在特定的协作策略下各受试者情绪状态和神经活度，用于评价合作认知加工过程中合作策略及合作效率与情绪唤醒程度等变量之间的关系，同时可以指导变换合作策略以获得更高的情绪唤醒程度，使训练效果更好。
进一步地，可以根据合作策略及合作效率与情绪、交感神经唤醒程度等变量之间的对应关系，调整合作策略，变换训练方式，使受试者情绪状态更好，交感神经活动活度更高，以达到更好的协作认知效果。
在一些实施例中，步骤S106之前，即根据调整后的第一设定速度进行第K+1试次训练之前，还包括：
获取第1试次训练至第K试次训练中各受试者空档识别结果、追踪确认结果以及第一设定速度的增量，生成训练进度报告。
在本实施例中，通过生成训练进度报告，以记录各受试者总体，即受试团 队在每一试次训练中的识别成绩，以反映受试团队的训练进度以及多人协作认知能力提升进度。具体的，空档识别结果包括受试者个人的空档识别正确率以及受试者总体的空档识别正确率。追踪确认结果包括各受试者个人追踪正确的数量以及受试者总体追踪正确的数量。
另一方面，本发明还提供另一种多人协作的认知能力训练方法，如图3所示，包括步骤S401～S405：
步骤S401：在第K试次训练中，控制多台训练机同步显示交互界面，交互界面显示第一设定数量目标客体，目标客体在训练机界面内按第一设定速度移动，K为正整数。
步骤S402：对目标客体中的第二设定数量添加标记作为追踪目标，显示标记持续第一设定时长。
步骤S403：去除追踪目标的标记，目标客体持续移动第三设定时长后，重新标记原追踪目标。
步骤S404：当接收到受试者总体反馈的提升训练难度指令时，根据提升训练难度指令增加第一设定速度和/或第二设定数量；当接收到受试者总体反馈的降低训练难度指令时，根据降低训练难度指令降低第一设定速度和/或第二设定数量。
步骤S405：根据增加或降低后的第一设定速度和/或第二设定数量，进行K+1试次的训练，其中，当训练时长达到第四设定时长时，停止训练。
在本实施例中，在第四设定时长内，每一试次训练中追踪目标和标准空档的识别结果由受试者自主判断，受试者总体根据自主判断的追踪目标和标准空档的识别结果，向训练机反馈提升训练难度指令或降低训练难度指令以调整训练难度，并进行下一试次的训练。具体的，各受试者可以结合特定的协作策略分工识别追踪目标和标准空档，在一试次训练中，首先对追踪目标进行标记用于记忆，再消除标记进行追踪同时进行识别标准空档，当重新对原追踪目标添加标记后，各受试者自主判断是否准确追踪到了原标记的追踪目标，各受试者以协作策略中既定的方式沟通对追踪目标和标准空档的识别结果，如果识别正确则向训练机反馈提升训练难度指令以增加第一设定速度和/或第二设定数量，如果识别错误则向反馈的降低训练难度指令降低第一设定速度和/或第二设定数量。在设定的训练时长内，训练反复进行。在本实施例中的训练模式为自主调节模式，训练难度的提升或降低根据各受试者自己的判断进行控制，能够使训 练难度更加适应受试者总体的认知能力。
图4为本发明一实施例中所述，如图4所示，在一实施例中，结合可以包括如下步骤：
1)打开系统软件。
2)输入用户名和密码。
3)如果输入错误，则提示重新输入；输入正确，则进入系统首页。首页包括“进行练习”、“进行正式测评”、“测评训练系统介绍”、“进行正式训练”、“查看测评与训练记录”、“退出系统”6个部分。
4)点击“进行正式测评”进入测评程序。
5)选择测评模式，包括“单人模式”和“多人模式”两部分，这里以多人模式为例。
6)选择多人测评模式后进入正式测评程序，包括三个阶段：目标标记阶段、追踪及识别空档阶段、反应阶段。
首先，在客户端页面输入主机电脑信息，将多人的分机连接至主机，佩戴并开启相应的眼动或生理指标设备，然后由受试者设置测评参数，如目标客体总数、追踪目标数量、运动速度模式(固定模式、自适应模式)、目标客体大小、试次数量等。
设置完成后在交互界面内呈现目标客体，其中几个通过闪动的红圈标记为追踪目标，持续时间t1；
然后目标客体恢复初始状态，进行匀速直线运动，目标客体之间互相碰到会反弹，目标客体运动时碰到运动区域边界也会反弹，持续时间t2，运动过程中需要随时(点击方法具体取决于眼动设备的使用与否)点击追踪区域中的标准空档；
当运动停止后，要求受试者尽量多地指出刚才标记的目标，多人均按键确认后，显示目标追踪结果和空档识别结果，包括个人成绩与多人合并计算的成绩，之后按键确认后进入下个试次。
运动速度模式分为两种，“固定模式”是指全部试次的客体运动速度保持一致，以测评或训练前设置的速度值为准，不会变化(有速度上限与下限)，考察标准为某速度下的每个人各自的追踪正确率和空档识别正确率，多人多目标追踪合并后的正确率，以及多人空档识别合并的正确率和一致性程度；“自适应模式”是指受试者测试过程中所有人选择结果合并后，追踪目标全部识别 时下个试次速度将增加(增加数值可以预先设定)，每多追丢一个目标下个试次速度增量将下降(具体数值可以预先设定，速度到达上下限后，不会超出限制区间)，考察标准为某数量目标下追踪速度阈值，以及多人空档识别合并的正确率和一致性程度。
7)后台记录并保存该次测评的各项参数及结果，并在受试者完成全部试次后生成相应的表格、折线图及评价，内容包括个人成绩与多人合并计算的成绩，显示在受试者视野中央。
8)按键确认后进入“是否进行训练”的选择界面，选择“否”返回系统首页；选择“是”则进入“进行正式训练”的系统界面。
9)选择训练模式，包括“单人模式”和“多人模式”两部分，这里以多人模式为例。
选择多人训练模式后进入正式训练程序，与测评程序一致，首先，在客户端页面输入主机电脑信息，将多人的分机连接至主机，再由受试者设置训练参数，如目标客体总数、追踪目标数量、运动速度模式(固定模式、自适应模式、自主调节模式)、客体大小、试次数量(或训练时长)等。“运动速度模式”中的“固定模式”和“自适应模式”与测评模式程序相同，“自主调节模式”是指在一段时间内，所有客体进行不间断的持续性运动，运动期间其中几个目标客体(训练前设定好的数量，在训练过程中也可以随时调节)改变颜色或添加标记快速闪烁一定时长，提示受训者进行注意并追踪。受试者将自己在本次提示自己追踪的目标与上次提示后自己一直追踪的目标进行比对，若一致则可以反馈(通过语音、动作手势、按键等方式)要求加快目标客体的运动速度或增加目标数量，若出现不一致，则说明追踪错误，相应的降低目标客体的运动速度或减少目标数量(每个人做出判断，最后联合决定速度的升降)，考察标准为训练结束最后的追踪数量与追踪速度，以及多人空档识别合并的正确率和一致性程度。
10)后台记录并保存该次训练的各项参数及结果，并在受训者完成全部训练后生成相应的表格、折线图及评价，显示在受训者视野中央。
11)按键确认后进入“是否进行测评”的选择界面，选择“否”返回系统首页，选择“是”则返回“选择测评模式”的系统界面。
12)点击“进行练习”进行练习程序，在练习程序中可以进行所有模式的测评及训练，参数设置与正式测评和训练一致，过程和结果不进行保存和分析。
13)点击“测评训练系统介绍”进行该程序的介绍页面，查看系统各项功能描述，及开发者信息。
14)点击“查看测评与训练记录”，显示“查看测评记录”、“查看训练记录”，可以查看历次测评和训练的记录，包括各项参数、时间、评价等内容。
15)点击“退出系统”关闭应用。
另一方面，本发明还提供一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现上述方法的步骤。
另一方面，本发明还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述方法的步骤。
综上所述，本发明所述多人协作的认知能力训练方法、装置及存储介质，通过对团队协同进行目标追踪和空档识别的过程中，根据团队目标追踪结果和空档识别结果评价团队认知能力状态，并根据团队认知能力状态调节训练难度，提高了团队认知能力训练的适应性和稳定性。同时，能够结合训练中每个试次的空档识别结果和追踪确认结果，评价受试团队认知能力。够针对不同团队的差异设置不同难度及不同模式的任务进行训练并评价，满足各类人群团队的训练需求，包括速度、追踪数量、时间的调节，其中速度变化又包括了固定模式、自适应模式、自主调节模式三种方式。
在本说明书的描述中，参考术语“一个实施例”、“一个具体实施例”、“一些实施例”、“例如”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不一定指的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。各实施例中涉及的步骤顺序用于示意性说明本发明的实施，其中的步骤顺序不作限定，可根据需要作适当调整。
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
以上所述的具体实施例，对本发明的目的、技术方案和有益效果进行了进一步详细说明，所应理解的是，以上所述仅为本发明的具体实施例而已，并不用于限定本发明的保护范围，凡在本发明的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种多人协作的认知能力训练方法，其特征在于，包括：
    在第K试次训练中，控制多台训练机同步显示交互界面，所述交互界面显示第一设定数量目标客体，所述目标客体在所述训练机界面内按第一设定速度移动，K为正整数；
    对所述目标客体中的第二设定数量添加标记作为追踪目标，显示所述标记持续第一设定时长；
    去除所述追踪目标的标记后，控制所有目标客体按第二设定速度匀速移动第二设定时长，并接收各训练机对应的受试者对所述目标客体间标准空档的空档识别结果，所述空档识别结果包括各受试者个人的空档识别正确率以及受试者总体的空档识别正确率；
    控制所述交互界面内的所述目标客体停止运动，接收并在所述交互界面内同步显示各训练机对应的受试者对去除标记后的所述追踪目标的识别状态，生成追踪确认结果，所述追踪确认结果包括各受试者个人追踪正确的数量以及受试者总体追踪正确的数量；
    根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度；
    根据调整后的所述第一设定速度进行第K+1试次训练。
  2. 根据权利要求1所述的多人协作的认知能力训练方法，其特征在于，控制多台训练机同步显示交互界面之前，还包括：
    设置初始训练参数，所述初始训练参数包括：所述第一设定数量、所述第二设定数量、所述第一设定速度、所述第二设定速度、所述第一设定时长、所述第二设定时长的初始值、所述目标客体的形状和大小以及试次数量。
  3. 根据权利要求1所述的多人协作的认知能力训练方法，其特征在于，根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度，包括：
    获取所述第一设定速度的标准速度增量；
    根据所述标准速度增量上调所述第一设定速度。
  4. 根据权利要求3所述的多人协作的认知能力训练方法，其特征在于，获取所述第一设定速度的标准速度增量之后，还包括：
    获取所述追踪确认结果中的各训练机对应的受试者总体追踪正确的数量， 并计算受试者总体追踪丢失的数量；
    根据所述受试者总体追踪丢失的数量降低所述标准速度增量，所述受试者总体追踪丢失的数量每增加一个，对所述标准速度增量下调指定参数或比例；
    根据降低后的所述标准速度增量调整所述第一设定速度。
  5. 根据权利要求1所述的多人协作的认知能力训练方法，其特征在于，根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度之后，还包括：
    根据所述空档识别结果确定所述第二设定速度的增量，并调整所述第二设定速度；
    根据调整后的所述第二设定速度进行K+1试次训练。
  6. 根据权利要求1所述的多人协作的认知能力训练方法，其特征在于，根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度之前，还包括：
    持续接收各训练机对应的受试者的眼动数据，根据所述眼动数据获取各受试者的注视信息，所述注视信息至少包括各受试者在第K试次训练过程中产生的注视点的位置坐标和时间戳；
    将所述注视信息记录存储或在所述交互界面内同步显示，供各受试者根据所述注视信息调整协作方式以减少对相同追踪目标或相同标准空档的重复视觉加工。
  7. 根据权利要求1所述的多人协作的认知能力训练方法，其特征在于，根据所述追踪确认结果确定所述第一设定速度的增量，并调整所述第一设定速度之前，还包括：
    持续接收各训练机对应的受试者的生理指标数据，所述生理指标数据至少包括：皮温数据、皮电数据、心率数据、血压数据和脑电数据，根据所述生理指标数据计算情绪唤醒程度，通过更换情绪唤醒程度更高的协作方式，以提高认知训练效果。
  8. 据权利要求1所述的多人协作的认知能力训练方法，其特征在于，根据调整后的第一设定速度进行第K+1试次训练之前，还包括：
    获取第1试次训练至第K试次训练中各受试者空档识别结果、追踪确认结果以及第一设定速度的增量，生成训练进度报告。
  9. 一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器 上运行的计算机程序，其特征在于，所述处理器执行所述程序时实现权利要求1至8任一项所述方法的步骤。
  10. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现权利要求1至8任一项所述方法的步骤。
PCT/CN2021/072879 2020-01-20 2021-01-20 多人协作的认知能力训练方法、装置及存储介质 WO2021147903A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010067586.9A CN111260984B (zh) 2020-01-20 2020-01-20 多人协作的认知能力训练方法、装置及存储介质
CN202010067586.9 2020-01-20

Publications (1)

Publication Number Publication Date
WO2021147903A1 true WO2021147903A1 (zh) 2021-07-29

Family

ID=70954687

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/072879 WO2021147903A1 (zh) 2020-01-20 2021-01-20 多人协作的认知能力训练方法、装置及存储介质

Country Status (2)

Country Link
CN (1) CN111260984B (zh)
WO (1) WO2021147903A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115329901A (zh) * 2022-10-12 2022-11-11 深圳市心流科技有限公司 一种认知训练方法、装置、设备及存储终端
CN116077797A (zh) * 2023-03-10 2023-05-09 北京视友科技有限责任公司 一种基于团队的脑电反馈训练方法及系统

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111260984B (zh) * 2020-01-20 2022-03-01 北京津发科技股份有限公司 多人协作的认知能力训练方法、装置及存储介质
CN115708918A (zh) * 2022-11-18 2023-02-24 深圳先进技术研究院 情绪调节能力训练方法、人机交互方法及相关装置

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180286259A1 (en) * 2017-03-28 2018-10-04 Wichita State University Three dimensional multiple object tracking system with environmental cues
CN109864749A (zh) * 2019-01-30 2019-06-11 北京津发科技股份有限公司 注意控制能力的训练方法、测评方法及其装置
CN109996485A (zh) * 2016-07-19 2019-07-09 阿克利互动实验室公司 在自适应反应-截止期限过程中实现信号检测度量的平台
CN110180067A (zh) * 2019-05-09 2019-08-30 北京津发科技股份有限公司 认知能力训练和测试方法、终端设备和存储介质
CN111260984A (zh) * 2020-01-20 2020-06-09 北京津发科技股份有限公司 多人协作的认知能力训练方法、装置及存储介质

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7819818B2 (en) * 2004-02-11 2010-10-26 Jamshid Ghajar Cognition and motor timing diagnosis using smooth eye pursuit analysis
CN106551676A (zh) * 2015-09-30 2017-04-05 中国航天员科研训练中心 基于认知阶段理论的认知能力检测方法及检测装置
KR20170107224A (ko) * 2016-03-15 2017-09-25 (주)인더텍 인지 집중력 훈련 콘텐츠 탑재형 아이 트랙킹 장치 및 이를 이용한 인지 집중력 훈련 방법
CN107519622A (zh) * 2017-08-21 2017-12-29 南通大学 基于虚拟现实与眼动追踪的空间认知康复训练系统和方法
CN108062625A (zh) * 2017-12-13 2018-05-22 深圳先进技术研究院 多物体追踪能力的评估方法和装置
CN109589122B (zh) * 2018-12-18 2022-02-15 中国科学院深圳先进技术研究院 一种认知能力测评系统及方法
CN110548292A (zh) * 2019-09-04 2019-12-10 中国科学院深圳先进技术研究院 一种多身份追踪能力训练方法及装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109996485A (zh) * 2016-07-19 2019-07-09 阿克利互动实验室公司 在自适应反应-截止期限过程中实现信号检测度量的平台
US20180286259A1 (en) * 2017-03-28 2018-10-04 Wichita State University Three dimensional multiple object tracking system with environmental cues
CN109864749A (zh) * 2019-01-30 2019-06-11 北京津发科技股份有限公司 注意控制能力的训练方法、测评方法及其装置
CN110180067A (zh) * 2019-05-09 2019-08-30 北京津发科技股份有限公司 认知能力训练和测试方法、终端设备和存储介质
CN111260984A (zh) * 2020-01-20 2020-06-09 北京津发科技股份有限公司 多人协作的认知能力训练方法、装置及存储介质

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115329901A (zh) * 2022-10-12 2022-11-11 深圳市心流科技有限公司 一种认知训练方法、装置、设备及存储终端
CN115329901B (zh) * 2022-10-12 2023-04-07 深圳市心流科技有限公司 一种认知训练方法、装置、设备及存储终端
CN116077797A (zh) * 2023-03-10 2023-05-09 北京视友科技有限责任公司 一种基于团队的脑电反馈训练方法及系统
CN116077797B (zh) * 2023-03-10 2024-02-02 北京视友科技有限责任公司 一种基于团队的脑电反馈训练方法及系统

Also Published As

Publication number Publication date
CN111260984B (zh) 2022-03-01
CN111260984A (zh) 2020-06-09

Similar Documents

Publication Publication Date Title
WO2021147903A1 (zh) 多人协作的认知能力训练方法、装置及存储介质
EP3384437B1 (en) Systems, computer medium and methods for management training systems
US10222961B2 (en) Methods for analyzing decisions made by real-time collective intelligence systems
Barlett et al. The effect of violent and non-violent computer games on cognitive performance
Parsons et al. Adaptive virtual environments for neuropsychological assessment in serious games
Williams et al. Anticipation skill in a real-world task: measurement, training, and transfer in tennis.
Fairclough et al. Capturing user engagement via psychophysiology: measures and mechanisms for biocybernetic adaptation
Rheem et al. Use of mouse-tracking method to measure cognitive load
WO2020015204A1 (zh) 基于虚拟现实的四肢康复训练方法与系统
Muñoz et al. The biocybernetic loop engine: an integrated tool for creating physiologically adaptive videogames
CN112086196B (zh) 多选择性注意力评估与训练的方法及系统
KR20220043562A (ko) 가상현실을 이용한 진료 및 임상술기 시뮬레이션 제공 시스템
US20210401339A1 (en) Adaptive behavioral training, and training of associated physiological responses, with assessment and diagnostic functionality
Heimler et al. Finding the balance between capture and control: Oculomotor selection in early deaf adults
Kwok et al. Collaborative gaze channelling for improved cooperation during robotic assisted surgery
CN110415357A (zh) 一种基于虚拟现实和扩增实境的互动训练监控方法
Valeriani et al. Past and future of multi-mind brain–computer interfaces
Mihelj et al. Emotion-aware system for upper extremity rehabilitation
Perdiz et al. A reinforcement learning assisted eye-driven computer game employing a decision tree-based approach and cnn classification
CN116469557A (zh) 干预效果评估方法、装置、终端设备及存储介质
Strang et al. Physio-behavioral synchronicity as an index of processes supporting team performance
Fiederer et al. Hybrid brain-computer-interfacing for human-compliant robots: inferring continuous subjective ratings with deep regression
CN111401721A (zh) 目标预判性思维评测与训练的方法及系统
Streck et al. neomento SAD-VR treatment for social anxiety
US20240165518A1 (en) Methods for adaptive behavioral training using gaze-contingent eye tracking and devices thereof

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21743875

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21743875

Country of ref document: EP

Kind code of ref document: A1