Emotion regulation ability training method, human-computer interaction method and related device

Abstract

The invention discloses an emotion regulation ability training method, a human-computer interaction method and related devices, wherein the emotion regulation ability training method is applied to a human-computer interaction system, and the human-computer interaction system comprises: a multi-identity tracking MIT training system and a result evaluation system; the result evaluation system obtains the number of correctly identified targets obtained by the MIT training system performing target tracking selection detection on a user from two dimensions of target position and target identity; the result evaluation system analyzes the number of correctly identified targets to obtain the reaction accuracy rate when the user performs target tracking selection detection; the result evaluation system sends the reaction accuracy rate to the MIT training system, so that the MIT training system adjusts the tracking target moving speed of the user during the next target tracking selection detection according to the reaction accuracy rate, so as to train the user's emotion regulation ability and improve the user's emotion regulation ability.

Description

Technical Field

[0001] The present invention relates to the field of brain science technology, and in particular to an emotion regulation ability training method, a human-computer interaction method and related devices. Background Art

[0002] Feeling and expressing emotions is a very important part of life, and emotion regulation provides an effective way to understand and control emotions. Through emotion regulation, individuals can respond quickly and effectively to changing social situations and achieve individual goals. However, not only do individuals differ in their ability to regulate emotions, but studies have also found that a lack of emotion regulation is associated with a wide range of mental disorders, such as anxiety, depression, and post-traumatic stress disorder. Therefore, improving emotion regulation can help solve these problems.

[0003] Therefore, providing a technical solution that can train users' emotion regulation ability is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The embodiments of the present invention provide an emotion regulation ability training method, a human-computer interaction method and related devices, which are used to solve the technical problem that the emotion regulation ability cannot be trained in the prior art.

[0005] In order to achieve the above-mentioned object, an embodiment of the present invention provides an emotion regulation ability training method, which is applied to a human-computer interaction system, wherein the human-computer interaction system comprises: a multi-identity tracking MIT training system and a result evaluation system; the method comprises:

[0006] The result evaluation system obtains the number of correctly identified targets obtained by the MIT training system from two dimensions of target location and target identity when performing target tracking and selection detection on the user;

[0007] The result evaluation system analyzes the number of correctly identified targets to obtain the response accuracy rate of the user when performing target tracking selection detection;

[0008] The result evaluation system sends the reaction accuracy to the MIT training system, so that the MIT training system adjusts the tracking target moving speed of the user's next target tracking selection detection according to the reaction accuracy, so as to train the user's emotion regulation ability.

[0009] Optionally, the human-computer interaction system further comprises: an emotion regulation quantification system; the emotion regulation quantification system is used to quantify the emotion regulation ability of the user according to a preset emotion regulation scale;

[0010] Before the result evaluation system obtains the number of correctly identified targets obtained when the MIT training system performs target tracking and selection detection on the user from two dimensions of target position and target identity, the method further includes:

[0011] The result evaluation system obtains the emotion regulation quantification system to test the user's emotion regulation ability from two dimensions, namely cognitive reappraisal and expression inhibition, to obtain the user's initial emotion regulation ability representation value;

[0012] The result evaluation system sends the result to the MIT training system based on the initial emotion regulation ability representation value of the user, so that the MIT training system determines the initial value of the operation of the MIT training system based on the initial emotion regulation ability representation value of the user;

[0013] The initial values ​​of the MIT training system at least include: the initial number of tracking targets and the initial moving speed of the tracking targets.

[0014] Optionally, the result evaluation system obtains the number of correctly identified targets obtained by the MIT training system performing target tracking and selection detection on the user from two dimensions of target position and target identity, specifically including:

[0015] The MIT training system performs target tracking selection detection on the user from two dimensions of target position and target identity according to the initial value.

[0016] Optionally, the human-computer interaction system further includes: an electroencephalogram recording system;

[0017] Before the MIT training system performs target tracking and selection detection on the user, the method further includes: the result evaluation system acquires first EEG data when the EEG recording system performs emotion stimulation paradigm detection on the user;

[0018] After the MIT training system performs target tracking and selection detection on the user, the method further includes: the result evaluation system obtains the second EEG data recorded by the EEG recording system when the user is subjected to the emotional stimulation paradigm detection;

[0019] Wherein, the first EEG data and the second EEG data both include: late positive potentials related to emotion regulation;

[0020] The result evaluation system performs analysis and processing based on the first EEG data and the second EEG data to obtain an EEG evaluation result.

[0021] Optionally, the MIT training system adjusts the moving speed of the tracking target during the next target tracking selection detection of the user according to the response accuracy, specifically including:

[0022] When the response accuracy is greater than a first preset threshold, the MIT training system controls the user to accelerate the moving speed of the tracking target during the next target tracking selection detection;

[0023] When the response accuracy is less than the first preset threshold, the MIT training system controls the moving speed of the tracking target to be decelerated during the next target tracking selection detection.

[0024] Optionally, the method further comprises:

[0025] The result evaluation system obtains the target recognition time data obtained when the MIT training system performs target tracking and selection detection on the user from the two dimensions of the target position and the target identity;

[0026] The result evaluation system analyzes the target recognition time data to obtain the reaction time of the user when performing target tracking selection detection.

[0027] Optionally, when the response accuracy is greater than a first preset threshold, the MIT training system controls the user to accelerate the moving speed of the tracking target during the next target tracking selection detection, specifically including:

[0028] Determining whether the reaction time is greater than a second preset threshold;

[0029] When the reaction time is greater than the second preset threshold, the MIT training system controls the target tracking moving speed of the user to accelerate to the first preset moving speed during the next target tracking selection detection;

[0030] When the reaction time is less than the second preset threshold, the MIT training system controls the target movement speed during the next target tracking selection detection to accelerate to the second preset movement speed; wherein the first preset movement speed is less than the first preset movement speed.

[0031] Optionally, the method further comprises:

[0032] The result evaluation system obtains the training emotion regulation ability representation value of the user obtained by the emotion regulation quantification system after the user undergoes MIT training of the MIT training system by testing the emotion regulation ability of the user from two dimensions of cognitive reappraisal and expression inhibition;

[0033] The result evaluation system determines the emotion regulation ability training effect of the user according to the initial emotion regulation ability representation value and the training emotion regulation ability representation value.

[0034] In order to achieve the above object, an embodiment of the present invention further provides a human-computer interaction method, the method comprising:

[0035] After obtaining a training trigger signal from the user, randomly selecting a first preset number of pictures from a preset picture library as tracking targets, forming a first stimulation picture and displaying it to the user; wherein the training trigger signal is used to instruct the user to perform emotion regulation ability training;

[0036] After the first stimulation image is displayed for a first preset time, randomly selecting a second preset number of tracking targets from the first stimulation image as memory targets and marking the memory targets with preset identifiers to obtain a second stimulation image and display it to the user;

[0037] After the second stimulation image is displayed for a second preset time, the preset mark of the memory target is deleted, and the tracking target and the memory target in the second stimulation image are both covered;

[0038] According to preset rules, controlling the covered tracking target and memory target in the second stimulation image to move at a preset moving speed, and showing the moving process to the user;

[0039] After the movement stops, marking a third preset number of covered memory targets in the second stimulation image as test targets and displaying them to the user, so as to prompt the user to determine the image corresponding to each of the test targets;

[0040] Based on the user's operation, determine the pictures corresponding to each test target selected by the user;

[0041] Determine whether the pictures corresponding to the test targets selected by the user are correct, and obtain the number of correct target recognitions to complete the target tracking selection detection of the user;

[0042] Determining the correct rate of the user's response to the target tracking selection detection according to the number of correct target identifications;

[0043] The preset moving speed of the user's next target tracking selection detection is adjusted based on the response accuracy until the number of target tracking selection detections of the user is greater than or equal to a third preset threshold.

[0044] In order to achieve the above-mentioned object, an embodiment of the present invention further provides a human-computer interaction system for emotion regulation ability training, the system comprising: a multi-identity tracking paradigm MIT training system, a result evaluation system;

[0045] The MIT training system is used to perform target tracking and selection detection on the user from two dimensions, namely, target position and target identity, to obtain the number of correctly identified targets;

[0046] The result evaluation system is used to analyze the number of correctly identified targets to obtain the response accuracy of the user when performing target tracking selection and send it to the MIT training system;

[0047] The MIT training system is used to adjust the moving speed of the tracking target during the next target tracking selection detection of the user according to the response accuracy, so as to train the emotion regulation ability of the user.

[0048] In order to achieve the above-mentioned purpose, an embodiment of the present invention also provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the emotion regulation ability training method as described above, or the steps in the human-computer interaction method as described above.

[0049] The present invention uses the MIT training system to perform target tracking and selection detection on the user from two dimensions: target position and target identity information, so as to obtain the number of correctly identified targets, so that the result evaluation system determines the reaction accuracy of this target tracking and selection detection according to the number of correctly identified targets, so that the MIT training system adjusts the target movement speed of the user's next target tracking and selection detection according to the reaction accuracy. Through the above scheme, the user can be trained in terms of attention and working memory, thereby realizing the training of the user's emotional regulation ability, so as to effectively improve the user's emotional regulation ability. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A schematic diagram of the system structure of a human-computer interaction system provided by an embodiment of the present invention;

[0051] Figure 2 A flow chart of the emotion regulation ability training method provided by an embodiment of the present invention;

[0052] Figure 3 An example diagram of the process of MIT training provided in an embodiment of the present invention;

[0053] Figure 4 Another flow chart of the emotion regulation ability training method provided by an embodiment of the present invention;

[0054] Figure 5 The present invention provides a flowchart of a human-computer interaction method. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0056] An embodiment of the present invention provides an emotion regulation ability training method. Figure 1 Schematic diagram of the system structure of the human-computer interaction system in an embodiment of the present invention. Figure 1 As shown, the human-computer interaction system includes: a multiple identity tracking (MIT) training system, a result evaluation system, an EEG recording system, and an emotion regulation quantification system.

[0057] Figure 2 A flowchart of the emotion regulation ability training method provided by an embodiment of the present invention, such as Figure 2 As shown, the emotion regulation ability training method is applied to the above human-computer interaction system and may at least include the following steps:

[0058] S201, the emotion regulation quantification system detects the user's emotion regulation ability from two dimensions, namely cognitive reappraisal and expression inhibition, to obtain the user's initial emotion regulation ability representation value.

[0059] Specifically, the emotion regulation quantification system may include a terminal device (for example, a computer, a tablet computer, a mobile phone, etc.). When the user's emotion regulation ability is tested, a preset emotion regulation scale can be displayed to the user through the terminal device. The terminal device determines the user's choice based on the user's operation based on the preset emotion regulation scale, and calculates a score based on the user's choice. The score value is the user's initial emotion regulation ability representation value.

[0060] In an embodiment of the present invention, the preset emotion regulation scale may adopt the emotion regulation scale compiled by Gross, which has 20 items and 7 points. The higher the score, the higher the frequency of using the user's emotion regulation strategy. The emotion regulation scale includes two dimensions: cognitive reappraisal and expression inhibition. Among them, the measurement of cognitive reappraisal dimension consists of 6 items, and the measurement of expression inhibition dimension consists of 4 items.

[0061] Through the above step S201, the user's emotion regulation ability can be quantified.

[0062] S202, the result evaluation system obtains the user's initial emotion regulation ability representation value, and determines the initial value of the MIT training system operation according to the initial emotion regulation ability representation value.

[0063] The initial values ​​of the MIT training system include at least: the initial number of tracking targets and the initial moving speed of the tracking targets.

[0064] Specifically, the mapping relationship between the emotion regulation ability representation value and the initial value of the MIT training system operation can be pre-set and stored, so that when the result evaluation system obtains the user's initial emotion regulation ability representation value, it can determine the corresponding initial value of the MIT training system operation according to the pre-stored mapping relationship.

[0065] For example, when the emotion regulation ability representation value is in the range of A1-A2, the corresponding initial values ​​of the MIT training system are: the initial number of tracking targets is 8, and the initial tracking target moving speed is 6s.

[0066] Through the above steps S201-S202, the initial value of the MIT training system can be determined according to the user's initial emotion regulation ability representation value, so that the MIT training system can design different MIT training programs for users with different initial emotion regulation abilities.

[0067] S203, the MIT training system runs according to the above initial values, and performs target tracking and selection detection on the user from two dimensions of target position and target identity, and obtains the number of correctly identified targets.

[0068] The MIT training system may also include corresponding terminal devices, such as computers, tablet computers, etc.

[0069] Specifically, the MIT training system determines the number of initial tracking targets and the initial tracking target moving speed according to the initial value. After the task starts, a fixed fixation point will appear in the center of the screen of the terminal device of the MIT training system. The fixation point can be a cross mark. After the fixation point appears for a preset time, a stimulus image will appear randomly. The stimulus image includes N randomly selected pictures corresponding to the number of initial tracking targets, wherein M pictures among the N randomly selected pictures are circled, and the circles disappear after a preset time. The N randomly selected pictures are hidden under a preset color background, and then the hidden N randomly selected pictures move at the initial tracking target moving speed, stop after the preset time and are displayed to the user, so that the user can select the previously M circled pictures from the N randomly selected pictures after hiding, and determine the corresponding tracking targets.

[0070] The number of correctly identified targets is the number of tracking targets whose user target positions and identity information are accurately identified.

[0071] For example, Figure 3As shown, after the task starts, a fixed fixation point will appear in the center of the screen of the terminal device of the MIT training system. After 800-1200ms, a stimulus image will appear randomly. The stimulus image includes 8 randomly selected pictures, of which 4 pictures are circled (the circles can have colors, such as red, yellow, etc.). The circle lasts for 2s. After 2s, the circle disappears, and then the 8 pictures are hidden in the gray circle background, and dynamically interactively moved for 6s, and then stop showing to the user, and determine the position of the picture selected by the user and the tracking target of the selected position.

[0072] S204, the result evaluation system obtains and analyzes the number of correctly identified targets to obtain the response accuracy of the user when performing target tracking and selection detection.

[0073] The result evaluation system calculates the ratio of the number of correctly identified targets to the number of initially tracked targets, and uses the ratio as the response accuracy rate during this target tracking selection test.

[0074] S205, the result evaluation system sends the response accuracy to the MIT training system.

[0075] S206, the MIT training system adjusts the moving speed of the target being tracked when the user selects the target to be tracked for detection next time according to the accuracy rate.

[0076] Specifically, when the reaction accuracy is greater than or equal to the first preset threshold, the MIT training system controls the user to accelerate the tracking target movement speed during the next target tracking selection detection; when the reaction accuracy is less than the first preset threshold, the MIT training system controls the user to decelerate the tracking target movement speed during the next target tracking selection detection.

[0077] It should be noted that each time the MIT training system performs MIT training on the user, each MIT training consists of a preset number of target tracking selection tests.

[0078] In an embodiment of the present invention, when the user is trained in MIT, the MIT training system adjusts the target moving speed in the next target tracking selection detection according to the reaction accuracy rate in the last target tracking selection detection. When the last reaction accuracy rate is less than the first preset threshold, the speed can be decelerated appropriately, and when the last reaction accuracy rate is greater than or equal to the first preset threshold, the speed can be accelerated appropriately, so as to provide more suitable training for the user and further improve the user's emotion regulation ability.

[0079] In some embodiments of the present invention, the MIT training system can also obtain the user's target recognition time data when performing target tracking and selection detection on the user from two dimensions: target position and target identity; the result evaluation system can analyze the target recognition time data to obtain the user's reaction time when performing the current target tracking and selection detection.

[0080] On this basis, when the response accuracy is greater than the first preset threshold, the MIT training system controls the moving speed of the tracking target when the user selects the next target tracking detection, which may specifically include:

[0081] Determining whether the reaction time is greater than a second preset threshold;

[0082] When the reaction time is greater than the second preset threshold, the MIT training system controls the user to accelerate the target movement speed to the first preset movement speed during the next target tracking selection detection;

[0083] When the reaction time is less than the second preset threshold, the MIT training system controls the user to accelerate the target tracking moving speed to the second preset moving speed during the next target tracking selection detection;

[0084] The first preset moving speed is smaller than the second preset moving speed.

[0085] Through the above scheme, it can be known that based on the user's reaction time, the acceleration of the tracking target movement speed when the user selects the next target tracking detection can be controlled more accurately. When the reaction accuracy is greater than the first preset threshold but the reaction time is greater than the second preset threshold, it means that the user's reaction accuracy is high but the reaction speed is slow. Therefore, a smaller acceleration is used to suit the characteristics of the user. In other words, the above scheme can be applied to different users, and the user's emotion regulation ability can be further effectively trained, thereby improving the user's emotion regulation ability.

[0086] S207, the MIT training system performs the next target tracking selection detection on the user from the two dimensions of target position and target identity according to the moving speed of the tracking target during the next target tracking selection detection and the number of initial tracking targets, obtains the number of correctly identified targets, and continues to execute the above steps S204-S207 until the number of target tracking selection detections is greater than the preset training number, so as to train the user's emotion regulation ability.

[0087] The embodiment of the present invention provides an emotion regulation ability training method, which uses the MIT training system to perform target tracking and selection detection on the user from two dimensions: target position and target identity information, so as to obtain the number of correctly identified targets, so that the result evaluation system determines the reaction accuracy of this target tracking and selection detection according to the number of correctly identified targets, so that the MIT training system adjusts the target movement speed of the user's next target tracking and selection detection according to the reaction accuracy. In the above scheme, the user can be trained in terms of attention and working memory to achieve the training of the user's emotion regulation ability, thereby improving the user's emotion regulation ability.

[0088] In some embodiments of the present invention, after the user completes MIT training through the MIT training system, the emotion regulation quantification system can further perform an emotion regulation ability test on the user again from the two dimensions of cognitive reappraisal and expression inhibition to obtain the user's training emotion regulation ability representation value; the result evaluation system determines the user's emotion regulation training effect based on the initial emotion regulation representation value and the training emotion regulation ability representation value.

[0089] The effect of the user's emotion regulation training can be represented by the difference between the initial emotion regulation representation value and the training emotion regulation ability representation value.

[0090] Through the above scheme, the result evaluation system can evaluate the emotion regulation ability training effect of this MIT training according to the emotion regulation ability representation values ​​before and after MIT training after each MIT training, so as to adaptively adjust the target tracking selection detection of the MIT training system according to the emotion regulation ability effect to suit different types of users.

[0091] In addition, in some embodiments of the present invention, Figure 4 As shown, the emotion regulation ability training method provided by the embodiment of the present invention may also include the following steps:

[0092] S401, before the MIT training system performs a target tracking and selection test on the user, the EEG recording system performs an emotional stimulation paradigm test on the user to obtain the user's first EEG data;

[0093] S402, after the MIT training system performs target tracking and selection detection on the user, the difficulty recording system performs emotional stimulation paradigm detection on the user again to obtain the user's second EEG data.

[0094] Wherein, the first EEG data and the second EEG data both include: late positive potentials related to emotion regulation.

[0095] S403, the result evaluation system analyzes the first EEG data and the second EEG data to obtain a corresponding EEG evaluation result.

[0096] Through the above scheme, before and after MIT training, the EEG recording system records the user's EEG data, and then evaluates the user based on the EEG data.

[0097] The embodiment of the present invention also provides a human-computer interaction system for training user emotion regulation ability. Figure 1 As shown, the system includes: MIT training system, result evaluation system, EEG recording system, and emotion regulation quantification system.

[0098] The MIT training system is used to perform target tracking and selection detection on the user from two dimensions, namely, target position and target identity, to obtain the number of correctly identified targets;

[0099] The result evaluation system is used to analyze the number of correctly identified targets to obtain the response accuracy of the user when performing target tracking selection and send it to the MIT training system;

[0100] The MIT training system is used to adjust the moving speed of the tracking target during the next target tracking selection detection of the user according to the response accuracy, so as to train the emotion regulation ability of the user.

[0101] The emotion regulation quantification system is used to quantify the emotion regulation ability of the user according to a preset emotion regulation scale.

[0102] Before the result evaluation system obtains the number of correctly identified targets obtained when the MIT training system performs target tracking and selection detection on the user from the two dimensions of target position and target identity, the result evaluation system is also used to obtain the emotion regulation ability detection of the user from the two dimensions of cognitive reappraisal and expression inhibition by the emotion regulation quantification system to obtain the initial emotion regulation ability representation value of the user; and is used to determine the initial value of the operation of the MIT training system based on the initial emotion regulation ability representation value of the user and send it to the MIT training system, so that the MIT training system determines the initial value of the operation of the MIT training system based on the initial emotion regulation ability representation value of the user; wherein the initial value of the operation of the MIT training system includes at least: the initial number of tracking targets and the initial tracking target moving speed.

[0103] The MIT training system is specifically used to perform target tracking selection detection on the user from two dimensions of target position and target identity according to the initial value.

[0104] The EEG recording system is used to detect the user's emotional stimulation paradigm and obtain the corresponding EEG data.

[0105] Specifically, the EEG recording system is used to obtain first EEG data when performing an emotional stimulation paradigm test on the user before the MIT training system performs a target tracking and selection test on the user; and is used to obtain second EEG data by performing an emotional stimulation paradigm test on the user after the MIT training system performs a target tracking and selection test on the user. Wherein, both the first EEG data and the second EEG data include: late positive potentials related to emotion regulation.

[0106] The result evaluation system is also used to analyze and process the first EEG data and the second EEG data to obtain an EEG evaluation result.

[0107] The MIT training system is specifically used to control the user to accelerate the moving speed of the tracking target during the next target tracking selection detection when the reaction accuracy rate is greater than a first preset threshold; and to control the user to decelerate the moving speed of the tracking target during the next target tracking selection detection when the reaction accuracy rate is less than the first preset threshold.

[0108] The result evaluation system is also used to obtain the target recognition time data obtained when the MIT training system performs target tracking and selection detection on the user from the two dimensions of the target position and the target identity; and to analyze the target recognition time data to obtain the reaction time of the user when performing target tracking and selection detection.

[0109] The MIT training system is specifically further used to determine whether the reaction time is greater than a second preset threshold; and when the reaction time is greater than the second preset threshold, the MIT training system controls the target movement speed of the user's next target tracking selection detection to accelerate to a first preset movement speed; when the reaction time is less than the second preset threshold, the MIT training system controls the target movement speed of the next target tracking selection detection to accelerate to a second preset movement speed; wherein, the first preset movement speed is less than the first preset movement speed.

[0110] The result evaluation system is also used to obtain the user's trained emotion regulation ability representation value obtained by the emotion regulation quantification system after the user has undergone MIT training of the MIT training system, by testing the user's emotion regulation ability from two dimensions: cognitive reappraisal and expression inhibition; and to determine the user's emotion regulation ability training effect based on the initial emotion regulation ability representation value and the training emotion regulation ability representation value.

[0111] The embodiment of the present invention also provides a human-computer interaction method, such as Figure 5 As shown, the human-computer interaction method may at least include the following steps:

[0112] S501, after obtaining a training trigger signal from a user, randomly select a first preset number of pictures from a preset picture library as tracking targets, compose a first stimulation picture and display it to the user.

[0113] The training trigger signal is used to instruct the user to perform emotion regulation ability training.

[0114] The training trigger signal may be generated by a user operating the terminal device according to an operation instruction.

[0115] For example, Figure 3 As shown, after the training trigger signal is obtained, 8 pictures are randomly selected from the preset picture library as tracking targets to form a first stimulus picture and displayed to the user.

[0116] S502, after the first stimulation image is displayed for a first preset time, randomly select a second preset number of tracking targets from the first stimulation image as memory targets and mark the memory targets with preset identifiers to obtain a second stimulation image and display it to the user.

[0117] For example, Figure 3 As shown, after the first stimulation image is displayed to the user for 4 seconds, 4 tracking targets are selected from the 8 tracking targets in the first stimulation image as memory targets, and the memory targets are marked with circles, and the second stimulation image is generated and displayed to the user.

[0118] S503, after the second stimulation image is displayed for a second preset time, the preset mark of the memory target is deleted, and the tracking target and the memory target in the second stimulation image are both covered.

[0119] For example, Figure 3 As shown, 2 seconds after the second stimulus picture is displayed, the circle of the memory target disappears, and then the 8 pictures in the second stimulus picture are covered and hidden under the gray circle background.

[0120] S504, according to a preset rule, controlling the covered tracking target and memory target in the second stimulation image to move at a preset moving speed, and showing the moving process to the user.

[0121] For example, Figure 3 As shown, the 8 covered pictures dynamically and interactively move for 6 seconds, and the movement process is shown to the user.

[0122] The preset moving speed may be determined according to an initial emotion regulation ability representation value obtained by the emotion regulation quantification system for detecting the emotion regulation ability of the user. For details, please refer to the above embodiment and no further details will be given here.

[0123] S505, after stopping the movement, marking a third preset number of covered memory targets in the second stimulation image as test targets and displaying them to the user, so as to prompt the user to determine the image corresponding to each of the test targets.

[0124] For example, Figure 3 As shown, after the 8 pictures stop moving, a test target is selected from the memory targets and marked to be displayed to the user, so as to prompt the user to determine the picture corresponding to the test target.

[0125] S506: Based on the user's operation, determine the pictures corresponding to the test targets selected by the user.

[0126] S507, determining whether the pictures corresponding to the test targets selected by the user are correct, and obtaining the number of correct target recognitions to complete the target tracking selection detection of the user.

[0127] S508: Determine the correct rate of the user's response to the target tracking selection detection according to the number of correct target identifications.

[0128] S509: adjusting the preset moving speed of the user's next target tracking selection detection based on the response accuracy until the number of target tracking selection detections of the user is greater than or equal to a third preset threshold.

[0129] Specifically, when the reaction accuracy adjustment is greater than or equal to a first preset threshold, the preset movement speed of the user for the next target tracking selection detection is accelerated; when the reaction accuracy adjustment is less than the first preset threshold, the preset movement speed of the user for the next target tracking selection detection is decelerated.

[0130] In an embodiment of the present invention, the process of determining the reaction accuracy is a target tracking selection test. Multiple target tracking selection tests are performed on the user, and the moving speed of the tracking target of the next target tracking selection test is adjusted according to the reaction accuracy of the previous target tracking selection test, so as to adaptively train the user's emotion regulation ability.

[0131] Furthermore, the reaction time of the user when performing target tracking selection detection can also be obtained. When the reaction accuracy adjustment is greater than or equal to the first preset threshold, and the reaction time is greater than the second preset threshold, the preset moving speed of the tracking target of the next target tracking selection detection is controlled to accelerate to the first preset moving speed; when the reaction accuracy adjustment is greater than or equal to the first preset threshold, and the reaction time is less than the second preset threshold, the preset moving speed of the tracking target of the next target tracking selection detection is controlled to accelerate to the second preset moving speed; wherein the first preset moving speed is less than the second preset moving speed.

[0132] It can be seen from the above scheme that the acceleration of the target movement speed can be controlled more accurately based on the user's reaction time when the user selects the target tracking detection next time. When the reaction accuracy is greater than the first preset threshold but the reaction time is greater than the second preset threshold, it means that the user's reaction accuracy is high but the reaction speed is slow. Therefore, a smaller acceleration is used to suit the characteristics of the user. In other words, the above scheme can be applied to different users, and the user's emotion regulation ability can be further effectively trained to improve the user's emotion regulation ability. Through the above human-computer interaction method, the user's attention and work are trained from the two dimensions of target position and target identity to achieve the training of emotion regulation ability, thereby improving the user's emotion regulation ability.

[0133] An embodiment of the present invention also provides a computer-readable storage medium, which stores one or more programs. The one or more programs can be executed by one or more processors to implement the steps in the method for emotion regulation training ability as described above, or the steps in the human-computer interaction method as described above.

[0134] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0135] The system and medium provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0136] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0137] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0138] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A method for training emotion regulation ability, characterized in that: The emotion regulation ability training method is applied to a human-computer interaction system, which includes: a multi-identity tracking MIT training system and a result evaluation system; the method includes: The result evaluation system obtains the number of correctly identified targets obtained by the MIT training system from two dimensions of target location and target identity when performing target tracking and selection detection on the user; The result evaluation system calculates the number of correctly identified targets and the number of initially tracked targets to obtain a target ratio, and based on the target ratio, obtains the response accuracy of the user when performing target tracking selection detection; The result evaluation system sends the reaction accuracy rate to the MIT training system, so that the MIT training system adjusts the tracking target moving speed of the user in the next target tracking selection detection according to the reaction accuracy rate, so as to train the user's emotion regulation ability; The human-computer interaction system further includes: an emotion regulation quantification system; Before the result evaluation system obtains the number of correctly identified targets obtained when the MIT training system performs target tracking and selection detection on the user from two dimensions of target position and target identity, the method further includes: The result evaluation system obtains the emotion regulation quantification system to test the user's emotion regulation ability from two dimensions, namely cognitive reappraisal and expression inhibition, to obtain the user's initial emotion regulation ability representation value; The result evaluation system sends the result to the MIT training system based on the initial emotion regulation ability representation value of the user, so that the MIT training system determines the initial value of the operation of the MIT training system based on the initial emotion regulation ability representation value of the user; The initial values ​​of the MIT training system operation include at least: the initial number of tracking targets and the initial tracking target moving speed; The MIT training system adjusts the moving speed of the tracking target during the next target tracking selection detection of the user according to the response accuracy, specifically including: When the response accuracy is greater than a first preset threshold, the MIT training system controls the user to accelerate the moving speed of the tracking target during the next target tracking selection detection; When the response accuracy is less than the first preset threshold, the MIT training system controls the moving speed of the tracking target to be decelerated during the next target tracking selection detection.

2. The method according to claim 1, characterized in that The result evaluation system obtains the number of correctly identified targets obtained by the MIT training system from the two dimensions of target position and target identity for target tracking and selection detection of the user, specifically including: The MIT training system performs target tracking selection detection on the user from two dimensions of target position and target identity according to the initial value.

3. The method according to claim 1, characterized in that The human-computer interaction system also includes: an EEG recording system; Before the MIT training system performs target tracking and selection detection on the user, the method further includes: the result evaluation system acquires first EEG data when the EEG recording system performs emotion stimulation paradigm detection on the user; After the MIT training system performs target tracking and selection detection on the user, the method further includes: the result evaluation system obtains the second EEG data recorded by the EEG recording system when the user is subjected to the emotional stimulation paradigm detection; Wherein, the first EEG data and the second EEG data both include: late positive potentials related to emotion regulation; The result evaluation system performs analysis and processing based on the first EEG data and the second EEG data to obtain an EEG evaluation result.

4. The method according to claim 1, characterized in that: The method further comprises: The result evaluation system obtains the target recognition time data obtained when the MIT training system performs target tracking and selection detection on the user from the two dimensions of the target position and the target identity; The result evaluation system analyzes the target recognition time data to obtain the reaction time of the user when performing target tracking selection detection.

5. The method according to claim 4, characterized in that When the response accuracy is greater than the first preset threshold, the MIT training system controls the user to accelerate the moving speed of the tracking target during the next target tracking selection detection, specifically including: Determining whether the reaction time is greater than a second preset threshold; When the reaction time is greater than the second preset threshold, the MIT training system controls the target tracking moving speed of the user to accelerate to the first preset moving speed during the next target tracking selection detection; When the reaction time is less than the second preset threshold, the MIT training system controls the target movement speed to accelerate to the second preset movement speed during the next target tracking selection detection; wherein the first preset movement speed is less than the second preset movement speed.

6. The method according to claim 1, characterized in that The method further comprises: The result evaluation system obtains the training emotion regulation ability representation value of the user obtained by the emotion regulation quantification system after the user undergoes MIT training of the MIT training system by testing the emotion regulation ability of the user from two dimensions of cognitive reappraisal and expression inhibition; The result evaluation system determines the emotion regulation ability training effect of the user according to the initial emotion regulation ability representation value and the training emotion regulation ability representation value.

7. A human-computer interaction system for emotion regulation ability training, characterized in that: The human-computer interaction system for emotion regulation ability training is applied to the emotion regulation ability training method according to any one of claims 1 to 6, and the system comprises: a multi-identity tracking paradigm MIT training system and a result evaluation system; The MIT training system is used to perform target tracking and selection detection on the user from two dimensions, namely, target position and target identity, to obtain the number of correctly identified targets; The result evaluation system is used to analyze the number of correctly identified targets to obtain the response accuracy of the user when performing target tracking selection and send it to the MIT training system; The MIT training system is used to adjust the moving speed of the tracking target during the next target tracking selection detection of the user according to the response accuracy, so as to train the emotion regulation ability of the user.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the emotion regulation ability training method as described in any one of claims 1-6.

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