阅读说明：本技术 一种多身份追踪能力训练方法及装置 (Multi-identity tracking capability training method and device ) 是由 黄艳 胡月妍 唐红思 *** 于 2019-09-04 设计创作，主要内容包括：本申请实施例公开了一种多身份追踪能力训练方法及装置,该方法包括：显示测试界面,测试界面包含第一目标组；第一目标组包含多个具有不同外形的目标,具有不同外形的目标均处于静止状态；将第一目标组中的各目标分别显示为具有相同外形的目标,移动显示具有相同外形的目标,具有相同外形的目标包含于第二目标组；接收与第二目标组关联的第一用户操作,并根据第一用户操作确定速度阈值；在训练界面上移动显示多个具有相同外形的目标；多个具有相同外形的目标包含于第三目标组；接收与第三目标组关联的第二用户操作,第二用户操作用于确定训练结果。实施本申请实施例,可以训练并提升用户的多身份追踪能力。(The embodiment of the application discloses a multi-identity tracking capability training method and a device, wherein the method comprises the following steps: displaying a test interface, wherein the test interface comprises a first target group; the first target group comprises a plurality of targets with different shapes, and the targets with different shapes are all in a static state; respectively displaying the objects in the first object group as objects with the same appearance, and moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in the second object group; receiving a first user operation associated with a second target group, and determining a speed threshold according to the first user operation; moving and displaying a plurality of targets with the same appearance on the training interface; a plurality of targets having the same shape are included in the third target group; a second user action associated with the third target group is received, the second user action being for determining a training result. By implementing the embodiment of the application, the multi-identity tracking capability of the user can be trained and improved.)

1. A multi-identity tracking ability training method is characterized by comprising the following steps:

Displaying a test interface, wherein the test interface comprises a first target group; the first target group comprises a plurality of targets with different shapes, and the targets with different shapes are all in a static state;

Respectively displaying the objects in the first object group as objects with the same appearance, and moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in a second object group;

receiving a first user operation associated with the second target group, and determining a speed threshold according to the first user operation, wherein the speed threshold is used for representing multi-identity tracking capability of a user;

Moving and displaying a plurality of targets with the same appearance on the training interface; the plurality of targets having the same shape are included in a third target group; each target in the plurality of targets with the same shape corresponds to a target with a specific shape; the moving speed of the plurality of objects with the same shape is determined by the speed threshold;

Receiving a second user action associated with the third target group, the second user action being for determining a training result.

2. The method of claim 1, wherein the testing interface and the training interface are associated with a login account; before the displaying the test interface, the method further includes:

Detecting whether the login account number corresponds to a test record on a server or not;

the display test interface comprises:

When detecting that the account does not have the corresponding test record on the server, displaying the test interface; alternatively, the first and second electrodes may be,

the method further comprises the following steps:

And when detecting that the account number has the corresponding test record on the server, responding to the user operation for displaying the training interface, and displaying the training interface according to the test record.

3. The method of claim 1, wherein the speed threshold is determined over multiple test game runs, the determining a speed threshold from the first user action comprising:

determining the moving speed of the target in each round of the multi-round test game according to a psychophysical staircase method;

Determining the current test game in the last round of the multi-round test games according to the psychophysical staircase method;

And ending the multi-round test game, and calculating the speed threshold.

4. The method of claim 3, wherein the outcome of each round of the test game includes a selection correct and a selection error; the determining the moving speed of the target in each round of the multi-round test game according to the psychophysical staircase method comprises the following steps:

Setting a first preset rule according to a psychophysical staircase method;

determining the moving speed of the target in each round of the multi-round test game according to the first preset rule;

The first preset rule includes:

When the user is detected that the result of the mth round of the test game is a selection error, setting the moving speed of the target in the (m + 1) th round of the test game to be n times of the moving speed of the target in the mth round of the test game; n is a real number greater than 0 and less than 1;

when the result of the user in the mth round of the test game is detected to be correct in selection, setting the moving speed of the target in the (m + 1) th round of the test game to be the same value as the moving speed of the target in the mth round of the test game; the mth round of the test game is a first round of the test game; or the result of the m-1 th round of the test game is a selection error, and m is a positive integer greater than 1;

when the results of the user in the mth round and the (m + 1) th round of the test game are detected to be correct, setting the moving speed of the target in the (m + 2) th round of the test game to be k times of the moving speed of the target in the (m + 1) th round of the test game, wherein k is a real number greater than 1 and less than 2;

when the result of the user in the test game of the t-th round is detected to be a selection error, setting the moving speed of the target in the test game of the t + 1-th round to be n times of the moving speed of the target in the test game of the t-th round; n is a real number greater than 0 and less than 1; the result of the test game in the t-1 th round is correct selection, and t is a positive integer greater than 1.

5. The method of claim 3, wherein said determining that the test game is currently the last test game of the plurality of test games according to the psychophysical staircase method, and ending the plurality of test games comprises:

Setting a second preset rule according to a psychophysical staircase method;

Determining the last round of test games in the multi-round of test games according to the second preset rule;

The second preset rule includes:

detecting that a plurality of turning points continuously appear in the multi-round test game, and determining whether to finish the multi-round test game according to the turning points;

And if the result of the test game is detected to be correct, correct or wrong, correct or correct in the continuous three-wheel game, the turning point is the third wheel of the continuous three-wheel game.

6. the method of claim 5, wherein said ending of said plurality of test game rounds comprises:

determining the speed threshold;

and calculating the average value of the moving speeds of the targets in the turning points to obtain the speed threshold.

7. The method of claim 4, wherein receiving the first user action associated with the second target group is preceded by:

stopping moving the objects with the same shape in the second object group;

a first target in the second target group is circled out, and a test option is displayed; the test options include targets of the first target set; the first target is any one of the second target group;

The first user action comprises a user action of a second target acting in the test option; the second target is any one target in the test options;

The result of each round of the test game is determined by whether the second target corresponds to the first target.

8. The method of claim 1, wherein the training results are determined by a plurality of training levels;

Each training level comprises a plurality of training games, and each training game corresponds to one training interface;

In one training level, when it is detected that the passing rule is satisfied, it is determined that the one training level is passed.

9. the method of claim 8,

The product of the speed threshold and a first coefficient is the initial moving speed of each training level; the product of the speed threshold and a second coefficient is the passing speed of each training level;

The starting moving speed is the moving speed of the target in a first round of the training game in a plurality of rounds of the training game;

The clearance speed is the moving speed which is required to be reached by the target through each training level;

The first coefficient and the second coefficient are positive numbers.

10. The method of claim 9, wherein the clearance rules comprise:

and if the training results are detected to be correctly selected in two continuous training games of one training level, and the moving speeds of the targets in the two continuous training games are all larger than or equal to the clearance speed, passing the training level.

11. the method of claim 1, wherein the test interface further comprises an interference target; the interfering targets are different in shape from the targets in the first target group;

The displaying the objects in the first object group as objects having the same shape, respectively, includes:

displaying each target in the first target group as the second target group, and displaying the interference target as a fourth target group; the second target group and the fourth target group have the same target shape.

12. A multi-identity traceability training device, comprising:

the display unit is used for displaying a test interface, and the test interface comprises a first target group; the first target group comprises a plurality of targets with different shapes, and the targets with different shapes are all in a static state; respectively displaying the objects in the first object group as objects with the same appearance, and moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in a second object group;

a receiving unit, configured to receive a first user operation associated with the second target group, and determine a speed threshold according to the first user operation, where the speed threshold is used to characterize a multi-identity tracking capability of a user;

The display unit is further used for movably displaying a plurality of targets with the same appearance on the training interface; the plurality of targets having the same shape are included in a third target group; each target in the plurality of targets with the same shape corresponds to a target with a specific shape; the moving speed of the plurality of objects with the same shape is determined by the speed threshold;

the receiving unit is further configured to receive a second user operation associated with the third target group, where the second user operation is used to determine a training result.

13. a multi-identity traceability training device, comprising:

the system comprises a processor, a communication interface, a memory and a display screen, wherein the memory is used for storing computer programs, and the communication interface, the memory and the display screen are respectively coupled with the processor through buses;

The display screen is used for displaying a test interface and a training interface, and the test interface comprises a first target group; the first target group comprises a plurality of targets with different shapes, and the targets with different shapes are all in a static state; respectively displaying the objects in the first object group as objects with the same appearance, and moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in a second object group;

the processor is configured to invoke the computer program to cause the apparatus to:

Receiving a first user operation associated with the second target group, and determining a speed threshold according to the first user operation, wherein the speed threshold is used for representing multi-identity tracking capability of a user; moving and displaying a plurality of targets with the same appearance on the training interface; the plurality of targets having the same shape are included in a third target group; each target in the plurality of targets with the same shape corresponds to a target with a specific shape; the moving speed of the plurality of objects with the same shape is determined by the speed threshold; receiving a second user action associated with the third target group, the second user action being for determining a training result.

14. A computer-readable storage medium, characterized in that the computer-readable storage medium is used to store a computer program, which is executed by the processor, to implement the method of any of claims 1 to 11.

Technical Field

The application relates to the technical field of brain science, in particular to a multi-identity tracking ability training method and device.

background

In many scenarios of daily life, people often need to distribute attention to several targets and track them simultaneously. For example, when driving, the driver needs to observe not only the dashboard, the rearview mirrors, and various signs on the road surface, but also the surrounding vehicles, pedestrians, and the like. It can be seen that multi-identity tracking capabilities are closely related to people's life.

In order to improve the target tracking capability, the multi-object tracking capability improving system can display a plurality of same objects, continuously move the objects on the interface, and enable a user to track the target object, so that the aim of improving the multi-object tracking capability of the user is fulfilled.

However, the system has poor effect of simulating multi-identity tracking scenes in actual life, and the improvement effect of multi-identity tracking capability is reduced.

Disclosure of Invention

The embodiment of the application provides a multi-identity tracking capability training method and device. The multi-identity tracking scene in real life can be simulated, so that the multi-identity tracking capability of the user is trained and improved.

In a first aspect, an embodiment of the present application provides a multi-identity tracking ability training method, where the multi-identity tracking ability training method is used to test a multi-identity tracking ability of a user, determine a training difficulty according to the multi-identity tracking ability of the user, and perform multi-identity tracking ability training on the user; wherein:

Displaying a test interface, wherein the test interface comprises a first target group; the first target group comprises a plurality of targets with different shapes, and the targets with different shapes are all in a static state;

Respectively displaying the objects in the first object group as objects with the same appearance, and moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in a second object group;

receiving a first user operation associated with the second target group, and determining a speed threshold according to the first user operation, wherein the speed threshold is used for representing multi-identity tracking capability of a user;

moving and displaying a plurality of targets with the same appearance on the training interface; the plurality of targets having the same shape are included in a third target group; each target in the plurality of targets with the same shape corresponds to a target with a specific shape; the moving speed of the plurality of objects with the same shape is determined by the speed threshold;

receiving a second user action associated with the third target group, the second user action being for determining a training result.

in a second aspect, an embodiment of the present application provides a multi-identity tracking capability training apparatus, where the multi-identity tracking capability training apparatus is configured to execute the multi-identity tracking capability training method; the apparatus comprises a display unit and a receiving unit, wherein:

the display unit is used for displaying a test interface, and the test interface comprises a first target group; the first target group comprises a plurality of targets with different shapes, and the targets with different shapes are all in a static state; respectively displaying the objects in the first object group as objects with the same appearance, and moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in a second object group;

a receiving unit, configured to receive a first user operation associated with the second target group, and determine a speed threshold according to the first user operation, where the speed threshold is used to characterize a multi-identity tracking capability of a user;

The display unit is further used for movably displaying a plurality of targets with the same appearance on the training interface; the plurality of targets having the same shape are included in a third target group; each target in the plurality of targets with the same shape corresponds to a target with a specific shape; the moving speed of the plurality of objects with the same shape is determined by the speed threshold;

the receiving unit is further configured to receive a second user operation associated with the third target group, where the second user operation is used to determine a training result.

in a third aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, cause the processor to execute the method of the first aspect.

In the embodiment of the application, the objects in the first object group displayed in the test interface are objects with different shapes, and each object in the third object group displayed on the training interface also corresponds to a different object with a specific shape, which is more close to simulating the situation of tracking different identity objects in real life. In addition, before the user is trained, the multi-identity tracking capability of the user is tested, the training difficulty is determined according to the capability of the user, and the multi-identity tracking capability of the user can be effectively improved.

Drawings

The drawings used in the embodiments of the present application are described below.

fig. 1 is a schematic system architecture diagram of a multi-identity tracking capability improving system 100 according to an embodiment of the present application;

fig. 2-5 are schematic diagrams of a user login/registration interface of the multi-identity tracking capability promotion system 100 according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a mode selection interface of the multi-identity tracking capability promotion system 100 according to an embodiment of the present application;

Fig. 7-11 are schematic diagrams of the interface of the multi-identity tracking capability improving system 100 provided by the embodiment of the present application in the test mode;

Fig. 12-17 are schematic interface diagrams of the multi-identity tracking capability improving system 100 provided in the embodiment of the present application in the training mode;

18-19 are performance evaluation interface diagrams of the multi-identity tracking capability promotion system 100 according to embodiments of the present application;

FIG. 20 is a flowchart illustrating a multi-identity tracking capability training method according to an embodiment of the present disclosure;

FIG. 21 is a schematic structural diagram of a PC provided in an embodiment of the present application;

Fig. 22 is a schematic structural diagram of another PC provided in the embodiment of the present application.

Detailed Description

The embodiments of the present application will be described below with reference to the drawings. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments herein only and is not intended to be limiting of the application.

First, a system architecture according to an embodiment of the present application will be described. Referring to fig. 1, fig. 1 is a schematic diagram of a system architecture of a multi-identity tracking capability improving system 100 according to an embodiment of the present application.

the multi-identity tracking capability promoting system is composed of a Personal Computer (PC) 110 and a server 120. Wherein:

the PC100 includes a test module 111, a training module 112, and a performance calculation module 113.

The test module 111 is used to test the multi-identity tracking capability of the user.

The training module 112 is used to train the user's multi-identity tracking capabilities. Wherein the training module 112 may train the user in the form of a breakthrough.

the achievement calculating module 113 is used for calculating various parameters in the testing module 111 and the training module 112, such as the moving speed of the target, the testing result, the clearance speed and the like.

the server 120 includes an information recording module 121 and a data analysis module 122.

The information recording module 121 is used for storing various data of the user in the process of using the system 100, such as user name, gender, age, test results, training results and the like.

The data analysis module 122 is used to analyze the user's test performance and the level of multi-identity tracking capability of the user in the population.

The embodiment of the application provides a method and a device for training multi-identity tracking capability, and the following description takes the example that a user uses a multi-identity tracking capability improving system for the first time as an example.

When a user uses the multi-identity tracking capability improving system for the first time, the PC displays a user login/registration interface on a screen, so that the user can fill in basic information and a registration account. After the registration is completed, the PC may display a test mode option, a training mode option, and a performance evaluation option on the screen in response to a login operation by the user. In response to the user selecting the test mode option, the PC displays a game interface of the test mode on the screen, and tests the multi-identity tracking capability of the user. The multi-identity tracking capability is characterized by a speed threshold value, which can be calculated by the PC after the test is finished. The speed threshold determines the difficulty of each level in the training mode. In response to a user's operation of selecting a training mode option, the PC displays a game interface of a training mode on the screen, wherein the training mode includes a plurality of levels. If the user passes successfully, the PC may display the next level of the current level. In response to a user's selection of a performance assessment option, the PC displays on the screen the user's test performance, the level at which the user is in multi-identity tracking capability among the population, and the clearance condition for the training mode.

The PC displays target objects with different identity characteristics in the game interface of the test mode and the game interface of the training mode. When a user uses the multi-identity tracking capability improving system, the user needs to observe the moving position of the target and memorize the identity characteristics corresponding to the target. Compared with the simple target position tracking of the multi-object tracking capability improving system, the multi-identity tracking capability improving system can better simulate the actual scene in life, and the multi-identity tracking capability of the user is improved more effectively.

the following describes the related settings of the test mode and the training mode on the PC.

The test mode and the training mode in the multi-identity tracking capability improving system can be performed in a game mode. In the test mode, a user is required to go through multiple rounds of the game for a complete test. The above-mentioned one-time complete test refers to the test from the beginning of the user to the end of the test and the test result is obtained. In the training mode, the training mode includes a plurality of levels, and the user is required to pass through a plurality of rounds of games through one of the levels.

The PC can display a plurality of targets with different identity characteristics on the screen in each round of game, and then display the targets as the same small balls to move at a certain speed within a set time. Wherein the target is divided into a tracking target and an interference target. The tracking target refers to things which require the user to memorize identity characteristics and move positions, and the interference target refers to things which interfere with the observation of the tracking target by the user. And finally, displaying the identity characteristic options of each target on a screen for the user to select.

the PC may not change the number of objects and the moving time in each round of the game in the test mode. For example, the number of targets may be 8, wherein the number of tracking targets is 4, the number of interference targets is 4, and the moving time may be 6 seconds(s). The number and the moving time of the targets are not particularly limited in the embodiments of the present application. In a complete test, the PC adjusts the moving speed of the target in each round of the game according to a first preset rule, which is set according to a psychophysical staircase method. The starting moving speed of the object may be preset by the PC, i.e., the PC may set the moving speed of the object in the first round of the game to 10 centimeters per second (cm/s). The initial moving speed of the target is not particularly limited in the embodiments of the present application.

In a complete test, the PC ends the test according to a second preset rule and calculates a speed threshold.

The definition of the psychophysical staircase method, the first predetermined rule and the second predetermined rule is given below:

psychophysical staircase method: the user is given progressively increasing and progressively decreasing stimulation intensities to determine the user's sensory threshold to the stimulation. When the user reports that the stimulus is not felt, the intensity of the stimulus is increased in steps. When the stimulus is increased to the point where the user feels it, the intensity of the stimulus is decreased in steps. The above sequence is followed until a predetermined criterion is reached.

the first preset rule is as follows: according to the psychophysical ladder method, a first preset rule increases and decreases the moving speed of the target in each round of games according to a certain ladder so as to determine a speed threshold value capable of representing the multi-identity tracking capability of the user. The specific content of the first preset rule is determined below. If the user selects the wrong one time, the PC decreases the moving speed of the target in the next round of the game. If the user selects the correct time, the PC sets the moving speed of the target in the next round of the current round of the game to be the same value as the moving speed of the target in the current round of the game. If the user selects the correct two consecutive times, the PC increases the moving speed of the object in the next round of the game. If the user selects the correct three times in succession, the PC sets the moving speed of the object in the next round of the game to the same value as the moving speed of the object in the current round of the game.

The basis of the reduction or increase of the moving speed of the PC is the moving speed of the target in the current round of game, and the amount of the reduction or increase of the moving speed can be 0.1 times of the moving speed of the target in the current round of game. The current round of game described above refers to the round of game that the user is playing. Hereinafter, the amount by which the moving speed of the target is decreased or increased between the respective rounds of the game is collectively referred to as a step length.

For example, the speed of the PC moving the object in the a-th round of game is 10cm/s, if the result of the user selection error is detected, the step size is 1 because the current round of game is the a-th round of game, and the speed of the PC moving the object in the a + 1-th round of game is 9 cm/s. If the correct result of the user selection is detected, the first round of game selection is correct or the first round of game selection is correct after a plurality of rounds of wrong selection is detected, the PC does not change the moving speed of the target. Since the current round of game is the a-th round of game, the speed of the moving object of the PC in the a + 1-th round of game is still 10 cm/s. Further, if it is detected that the user selects the correct result in the (a + 1) th round of game, that is, selects the correct result twice consecutively, since the current round of game is the (a + 1) th round of game, the step size is 1, and the speed of the PC moving the target in the (a + 2) th round of game is 11 cm/s. Still further, if it is detected that the user selects the correct result in the a +2 th round of the game, that is, selects the correct result three times in succession, the PC does not change the moving speed of the object. Since the current round of the game is the a +2 th round, the speed of the moving object of the PC in the a +3 round of the game is 11 cm/s. On the basis that the user selects the correct result in the (a + 3) th round of game continuously for three times, if the user is detected to select the correct result in the (a + 3) th round of game continuously for four times, the step length is 1.1 because the current round of game is the (a + 3) th round of game, and the speed of the PC moving the target in the (a + 4) th round of game is 12.1 cm/s. The moving speed of the target in the subsequent rounds of the game and the like. Wherein the value of a is a positive integer.

the second preset rule is as follows: the second preset rule is used for judging whether the test is finished or not and calculating the speed threshold. And the PC adjusts the moving speed of the target in each round of the game according to a first preset rule to obtain the turning point of the speed change. After 5 continuous turning points are obtained, the PC calculates the difference between the maximum value and the minimum value of the moving speed corresponding to the 5 continuous turning points. If the difference between the maximum value and the minimum value is not more than three times the step size, the PC ends the test. After the test is finished, the PC calculates the average value of the moving speeds corresponding to the 5 continuous turning points, and the average value is used as a speed threshold value.

The turning point of the speed change can include two situations. The first case is that the PC detects that the result selected by the user in the consecutive three rounds of games is correct, correct and wrong, respectively, and the result selected wrong third round of game is the turning point, and the moving speed of the target in the round of game is the moving speed corresponding to the turning point. The second case is that the PC detects that the result selected by the user in the three successive rounds of games is wrong, correct and correct, respectively, and then the correct third round of game is selected as the turning point, and the moving speed of the target in the round of game is the moving speed corresponding to the turning point.

When 5 turning points are detected to continuously appear, the PC takes the largest step length in all the speed change step lengths in the 5 turning points as a turning point comparison step length.

For example, in a complete test process, the PC finishes the test after the user has performed 11 rounds of games, and the results selected by the user in each round of games are shown in table 1 as the error, the moving speed of the target, whether it is a turning point, and the speed change step length.

TABLE 1

As can be seen from table 1, the 3 rd, 5 th, 8 th, 10 th and 11 th rounds of games are turning points, the maximum value and the minimum value of the moving speed corresponding to the 5 turning points are 11.979 and 9.9 respectively, the difference between the maximum value and the minimum value is 2.079, and the maximum step length is 3.5937, which obviously satisfies the test ending condition in the second preset rule. According to the method of calculating the speed threshold, the PC calculates the average value of the moving speeds of the objects in the 3 rd, 5 th, 8 th, 10 th and 11 th round games, and the speed threshold is 11.1 cm/s.

In a possible implementation manner, the moving speed of the target of each round of the game is not directly calculated according to the error selected by the user and the first preset rule, but all possible speed values are calculated and stored before the user tests by using the first preset rule. When the user conducts the test, the moving speed of the target of each round of the game is adjusted according to the speed value stored by the wrong inquiry selected by the user.

The embodiment of the present application does not specifically limit the amount by which the moving speed of the target is decreased or increased in the first preset rule. The moving speed of the object may be decreased or increased by an amount M times the moving speed of the object in the current round of the game, where M is an arbitrary value greater than 0 and less than 1.

The number of turning points selected in the second preset rule is not limited in the embodiment of the application, and N turning points can be selected, wherein N is a positive integer greater than 1.

In the embodiment of the present application, the multiple relationship between the difference between the maximum value and the minimum value and the comparison step length of the turning point is not specifically limited, and the multiple relationship may be not more than 3 times of the comparison step length of the turning point, or may be other multiple relationships.

In the training mode, the total number of checkpoints may be 30, and the specific parameter settings of each checkpoint may be seen in table 2.

TABLE 2

The number of tracking targets per level is given in table 2, and the number of interference targets per level may be the same as the number of tracking targets. For example, in the 1 st pass, if the number of tracking targets is 3, the number of interference targets may be 3, and the total number of targets may be 6. The number of targets in each level in the training mode is not specifically limited in the embodiments of the present application.

In the training mode, the user is required to go through multiple rounds of play through each level. In each round of game at a certain level, the PC does not change the number and moving time of the objects. Between different levels, the PC can adjust the number of targets and the moving time according to the settings in table 2. In one level, the PC adjusts the moving speed of each round of game objects in the level according to a first preset rule. The starting moving speed of the target can be set by the PC according to the starting moving speed in table 2. For example, if the speed threshold is 10cm/s, the speed of the PC moving the object in the first round of game 1-off is 12.5 cm/s.

In each level, the PC also calculates the moving speed of the target that the user needs to reach through each level according to the passing speed in table 2. And judging whether the user passes the current level according to the clearance rule.

the definition of the clearance rules is given below.

And (4) clearance rules: in a certain level, the PC compares the moving speed of each round of game objects with the passing speed of the level. And if the fact that the user selects the correct result in two continuous games is detected, and the moving speed of the target in the two continuous games is larger than or equal to the clearance speed, the PC displays a clearance prompt box on the screen.

For example, in the 1 st round, the passing speed is 6cm/s, the speed of the PC moving the object in the b-th round and the b + 1-th round is 5.9cm/s, according to the first preset rule, the PC increases the moving speed of the object in the next round, wherein the step size is 0.59, and the speed of the PC moving the object in the b + 2-th round is 6.49 cm/s. When it is detected that the user selects the correct result in the b +2 th round of the game, the PC does not change the moving speed of the object, i.e., the moving speed of the object in the b +3 rd round of the game is still 6.49 cm/s. If the fact that the user selects a correct result in the (b + 3) th round of games is detected, the PC judges that the round of games meets the clearance rule and prompts the user that the clearance is successful. Wherein, the value of b is a positive integer.

In the embodiment of the application, the speed threshold for determining each level difficulty in the training mode is the first speed threshold obtained by the user through the first complete test process. And when detecting the test results of the multiple tests of the user, the PC receives the first speed threshold value sent from the server and calculates the initial moving speed and the clearance speed of each level.

The training difficulty is determined only by the speed threshold obtained by the first complete test, and a user can use a set of complete training process according to the first speed threshold. Since the PC does not change the number of tracking targets, the initial moving speed, and the clearance speed of each 6 levels of the 30 levels, but only changes the moving time. The PC can adjust the number of the tracked targets, the initial moving speed and the clearance speed among different groups, so that the difficulty of training from the 1 st to the 30 th joints is gradually increased, and the training of the user from three dimensions of the number of the tracked targets, the moving time and the moving speed is realized.

In another possible embodiment, the difficulty of each level in the training mode may be determined by the last speed threshold obtained from the last complete testing process of the user. After the user performs the test, the PC sends the test result to the server, and the server stores the test result in the information recording module 121. After detecting the user operation entering the training mode, the PC determines the latest speed threshold according to the data which is sent by the server and is related to the current login account, and then calculates the initial moving speed and the clearance speed of each level according to the latest speed threshold.

Because the test result obtained by the last complete test can represent the current multi-identity tracking capability of the user, the difficulty of each level in the training mode is determined according to the last speed threshold value, and the PC can enable the training mode to better adapt to the change of the multi-identity tracking capability of the user.

Optionally, when a user operation to enter the training mode is detected, the PC displays a game interface of the training level when the user last left the training mode. Wherein, the PC calculates the initial moving speed and the clearance speed of the target in the training level according to the latest speed threshold value. Therefore, the difficulty of the training level is adjusted in time according to the current multi-identity tracking capability of the user, and the user can continue training from the interrupted training level.

in another possible embodiment, the PC displays the game interface of the first level of the training mode when a user operation to enter the training mode is detected. And the PC calculates the initial moving speed and the clearance speed of the target in the first level according to the latest speed threshold value. Because the difficulty from the first closing to the 30 th closing in the training mode is gradually increased, after the latest speed threshold value updating is detected, the PC displays the game interface of the first closing in the training mode, so that the user can start training from the beginning according to the training difficulty determined by the updated speed threshold value, and the multi-identity tracking capability of the user can be gradually improved.

As can be seen from table 2, the initial moving speed and the clearance speed of each clearance are related to the speed threshold, and when the speed threshold obtained by the user through the test is larger, the initial moving speed and the clearance speed of each clearance are larger, and the difficulty of clearance is also larger. By adopting the method, the difficulty of each level in the training mode is well determined by utilizing the speed threshold, the difficulty of the training level is adjusted according to the difference of the multi-identity tracking capability of different users, and the multi-identity tracking capability of the users is more effectively improved.

An exemplary user interface for system login/registration is presented below for a PC.

Referring to fig. 2, fig. 2 is a schematic diagram of a login/registration interface of the multi-identity tracking capability enhancement system. As shown in fig. 2, the system login/registration interface 10 includes a mailbox input box 11, a password input box 12, a remember password checkbox 13, a login button 14, and a registration button 15. Wherein:

The mailbox input box 11 is used for inputting a mailbox of the user, and the mailbox is used as an account for the user to log in the multi-identity tracking capability promotion system. The method and the system have no limitation on the account types of the user logging in the multi-identity tracking capability improving system, and can be used as a mailbox, a mobile phone number, a QQ account, a WeChat account and the like.

The password input box 12 is used for inputting a password of the user, wherein the password corresponds to the mailbox account of the user and is set when the user registers.

The remember password checkbox 13 is used to provide the user with the option to remember the password. When detecting that the remember password check box 13 is checked, the PC saves the mailbox and the password input by the user, and when entering the system next time, the PC automatically displays the saved mailbox and password in the mailbox input box 11 and the password input box 12 without inputting again by the user. In this embodiment, the location where the user mailbox and the password are saved by the PC is not specifically limited.

The login button 14 is used for the user to login to the multi-identity tracking capability boost system.

An example of a PC login multi-identity tracking capability promotion system is described below. When detecting the operation of clicking the login button 14, the PC checks whether the mailbox input box 11 and the password input box 12 are filled with information. If it is confirmed that the mailbox input box 11 and the password input box 12 have the mailbox and password information, the PC may transmit the filled mailbox and password information to the server. After receiving the data, the server compares the mailbox and the password with the mailbox and the password recorded in the information recording module 121. If the data record of the mailbox sent by the PC is not found or the data record of the mailbox sent by the PC is found, but the password sent by the PC is different from the password recorded in the server, the server sends login failure information to the PC. After receiving the login failure information, the PC displays a prompt box on a screen to prompt the user of login failure. If the data record of the mailbox sent by the PC is found, and the password sent by the PC is the same as the password recorded in the server, the server sends login success information to the PC. After receiving the login success information, the PC displays a mode selection interface as shown in fig. 6 on the screen.

The embodiment of the present application does not specifically limit the manner of logging in the multi-identity tracking capability improving system, and may be a manner of entering the multi-identity tracking capability improving system by clicking the login button 14, or a manner of logging in by scanning a mobile phone code or logging in by verifying a mobile phone code.

The register button 15 is used for the user to register an account of the multi-identity tracking capability promotion system. When detecting a user operation on the registration button 15, the PC displays a user basic information filling-in interface 20 as shown in fig. 3 on the screen.

referring to fig. 3, fig. 3 is a schematic diagram of the user basic information filling interface 20. The user basic information filling-in interface 20 includes a user name input box 201, a user age input box 202, a user gender selection box 203, a user handedness input box 204, a user school name input box 205, a user class input box 206, a user left-eye vision input box 207, a user right-eye vision input box 208, a user presence-or-absence eye disease filling-in box 209, a next step button 210, a return button 211, and a pull-down button 212. Wherein:

the user name input box 201 is used to input a name of a user.

the user age input box 202 is used to input the age of the user.

The user gender selection box 203 is used for the user to select to input the gender of the user. The user gender selection box 201 includes a pull-down button 212, and when a user operation on the pull-down button 212 is detected, the PC displays a selection box including gender selections male and female. When detecting the operation of selecting the male in the above-mentioned options box, the PC displays the male in the user gender selection box 203. Similarly, when detecting an operation in which a woman selected from the above-described options box is selected, the PC displays the woman in the user sex selection box 203. The method for filling in the gender of the user is not limited, and the gender can be filled in directly by the user except that a pull-down selection box is designed for the user to select.

The user left-right handedness input box 204 is used for the user to input his or her own hands-on habit, e.g., left or right.

The user school name input box 205 is used for the user to input the name of the school where the user is located.

The user class input box 206 is used for the user to enter his class number.

the user left-eye vision input box 207 is used for the user to input vision data of his left eye, for example, 4.7.

the user right eye vision input box 208 is used for the user to input vision data for his or her right eye, for example, 4.7.

the user has an eye disease filling box 209 for the user to fill in the name of his eye disease. If the user has no eye disease, no filling in the filling box is needed.

The input boxes 201, 202, 203 and 209 all have corresponding filling prompt information for reminding the user of the input format of the information to be input in the corresponding input box. When detecting that the information is input in the input box, the PC does not display the prompt information in the input box any more.

In one possible implementation, the user name input box 201, the user age input box 202, the user gender selection box 203, the user right-left handedness input box 204, the user left-eye vision input box 207, the user right-eye vision input box 208, the user eye disease presence/absence filling box 209, and the user school name input box 205 and the user class input box 206 are selection boxes. The necessary filling frame is an information input frame which needs to be filled with information, and the selected filling frame is an information input frame which can be selectively filled with information by a user.

the next button 210 is used to display the next interface for the registration step. When a user operation acting on this button is detected, the PC displays a mailbox registration interface 30 as shown in fig. 4.

the return button 211 is used to display the system login/registration interface 10.

referring to fig. 4, fig. 4 is a schematic diagram of a mailbox registration interface. The mailbox registration interface 30 includes a registration mailbox input box 31, a password input box 32, a confirmation password input box 33, a registration button 34, and a return button 35. Wherein:

The registration mailbox input box 31 is for a user to input a mailbox. The mailbox is used as an account for the user to log in the multi-identity tracking capability improving system. When detecting that the information input in the input box does not conform to the mailbox format, the PC displays prompt information on the screen. Specifically, a prompt "the mailbox format is incorrect" may be displayed, and the prompting manner is not specifically limited in the embodiment of the present application.

Optionally, the account registered by the user may be a mobile phone number, a QQ account, a wechat account, and the like, which is not limited in this embodiment of the application.

The password input box 32 is used for the user to input a login password. The form of the password is not particularly limited in the embodiment of the present application, and may be not less than six digits of numbers or letters, but also numbers, letters, symbols, combinations of numbers and symbols, combinations of letters and symbols, combinations of numbers, letters and symbols, and the like.

The confirmation password input box 33 is used for the user to input the login password again. The password input in the confirmation password input box 33 must be identical to the password input in the password input box 32. If it is detected that the passwords input in the password input box 32 and the confirmation password input box 33 are not identical, the PC displays a prompt message on the screen. Specifically, the prompting manner may be that the PC displays a cross in the right area of the password confirmation input box 33, or displays a prompting box on the mailbox registration interface 30, and displays that the passwords input twice are inconsistent, and the like, which is not specifically limited in this embodiment of the present application.

The registration button 34 is used for the user to confirm registration of the multiple identity tracking capability promotion system account. When a user operation on the registration button 34 is detected, the PC determines whether all the necessary boxes in the user basic information filling interface 20 are filled with information in the correct format. If it is detected that the necessary frame is not filled in the interface 20, or the filled information does not meet the format requirement, the PC displays "please complete the basic information! ". When the completion of the basic information of the user is confirmed, the PC displays a prompt box 36 for successful registration as shown in fig. 5 on the user interface 30, and transmits the basic information, the account and the password of the user to the server, and the server stores the basic information, the account and the password of the user.

The format requirement of the basic information of the user refers to a filling prompt in each input box in the basic information filling interface 20 of the user.

in one possible implementation, when a user action on the register button 34 is detected, the server sends an authentication link to the mailbox populated in the register mailbox input box 31. And if the server receives the message of successful verification, the server sends a registration success message to the PC. If the verification success message is received, the PC displays a registration success prompt box 36 as shown in fig. 5 on the user interface 30. The method for verifying the mailbox is not limited in the embodiment of the application.

The return button 35 is used to display the user basic information filling interface 20.

the registration success prompt box 36 is used to prompt the user that the registration is successful. The prompt box includes a confirm button 36a and a return login button 36 b. Wherein:

The ok button 36a is used to display the mailbox registration interface 30.

The return login button 36b is used to display the system login/registration interface 10.

In one possible implementation, the PC displays a guest enter button in the system login/registration 10. When a user operation acting on the guest enter button is detected, the PC displays a test module target presentation interface as shown in fig. 7 on the interface. The realization mode does not need a user to register or log in an account, and the user can conveniently and quickly enter the test mode of the multi-identity tracking capability improving system.

An exemplary user interface for PC display system mode selection is described below.

Upon receiving the login success message transmitted from the server, the PC displays a mode selection interface 40 as shown in fig. 6 on the screen. The interface 40 includes a test mode button 41, a training mode button 42, a performance assessment button 43, an exit play button 44, and a switch account button 45. Wherein:

The test mode button 41 is used to display the test modules of the multiple identity tracking capability enhancement system.

The training mode button 42 is used to display the training modules of the multiple identity tracking capability enhancement system.

the performance evaluation button 43 is used to display the test performance of the user in the multi-identity tracking capability promoting system, the level of the multi-identity tracking capability in different classes of people and the breakthrough condition in the training module.

The exit game button 44 is used to turn off the multiple identity tracking capability boost system.

The switch account button 45 is used to display the system login/registration interface 10.

An exemplary user interface of the PC display system test module is described below.

referring to fig. 7, fig. 7 is a schematic diagram of a target presentation interface of a multi-identity tracking capability enhancement system test module. When a user operation on the test mode button 41 in the mode selection interface 40 is detected, the PC displays a test module target presentation interface 500 as shown in fig. 7. The interface 500 includes a target presentation area 501, a target presentation interface description 502, a target parameter display box 503, and a return button 504. Wherein:

The target presentation area 501 includes tracking targets and interference targets. The PC tracks the target and the interference target by using the animal head portrait identifier, and different animal head portraits represent identity characteristics of different targets. Wherein the tracking targets are 501a, 501b, 501c and 501 d. The interference targets are 501e, 501f, 501g and 501 h. And the PC circles the head portrait of the animal corresponding to the tracking target and marks the head portrait.

The embodiment of the application does not specifically limit the way of identifying the target by the PC, and can identify other things with different identity characteristics besides identifying by using the animal head portrait.

The embodiment of the present application does not specifically limit the way of marking the tracking target by the PC, and the tracking target may be circled by a circle, or circled by a rectangle or a triangle, or the like.

The target presentation interface operation instruction 502 is used for displaying a user operation prompt, namely' please remember the head portrait of the animal in the circle and the position of the animal in the circle, and is ready to start the bar by clicking the left button of the mouse! ".

The target parameter display frame 503 includes a moving speed 503a, a tracking number 503b, a moving time 503c, and a current threshold 503 d. The moving speed 503a is the speed of the PC moving the target in the current round of game after the test is started, for example, the moving speed is 10, which means that the speed of the PC moving the target on the interface is 10 cm/s. The tracking number 503b indicates the number of tracking targets. The movement time 503c indicates the time when the PC moves the object in the area 501, for example, the movement time is 6, indicating that the PC pauses after moving the object 6s on the screen. The current threshold 503d represents the user's historical test results. And if detecting that the current account has a plurality of historical test results, displaying the test result of the latest test by the PC, wherein the current threshold is the current threshold. And if no historical test result of the current account is detected, the PC displays that the current threshold is 0.

the back button 504 is used to display the mode selection interface 40.

In the test module target presentation interface 500, both the tracking target and the interfering target are in a static state for the user to remember the animal avatar and position of the tracking target. When the user operation of moving the object is detected, the PC displays all the objects currently displayed as the same pellets, and moves the pellets in the area 501 according to a preset movement rule.

Specifically, the user operation of the moving object may be an operation in which the mouse pointer detected by the PC is placed in a screen area other than the return button 504, and the left button of the mouse is clicked. The embodiment of the present application does not specifically limit the user operation of the moving target.

In one possible implementation, when a user operation to move an object is detected, the PC displays all currently displayed objects as the same five-pointed star and moves the five-pointed star representing the object in the area 501. The embodiment of the present application does not limit what the object is transformed into when moving.

One rule for moving the ball is described below. Before starting to move each small ball, the PC sets the moving direction of each small ball by a random method, and the small ball moves linearly along a random preset direction. If the small ball is detected to touch the edge of the screen or collide with other small balls, the PC changes the moving direction of the small ball and moves the small ball along the direction which is horizontally symmetrical or vertically symmetrical to the original direction. The rule of moving the small ball is not specifically limited in the embodiment of the application, and other moving modes can be adopted.

The PC counts the time when the ball starts moving, and stops moving the ball after a preset moving time, and displays a test mode result selection interface 510 as shown in fig. 8. Interface 510 includes a bead display area 511, a result selection interface operating instructions 512, and a target animal avatar selection box 513. Wherein:

The small ball display area 511 is used to display a small ball representing the object. The PC displays 8 identical stationary beads in the area and circles one of the beads 511a to allow the user to determine the animal's avatar corresponding to the bead 511 a. The PC randomly circles one of 4 beads corresponding to the tracking target as the above-mentioned circled bead 511 a.

The result selection interface operation manual 512 is used for displaying user operation prompts. The operation instruction prompts the user to determine the animal avatar corresponding to the ball 511a and to select the animal avatar in the target animal avatar selection box 513.

The target animal head portrait selection box 513 is used for displaying animal head portraits each representing the identity of the target for the user to select. The animal avatar is consistent with the animal avatar displayed in the test module target presentation interface 500.

when detecting a user selection operation performed in the target animal avatar selection box 513, the PC compares the selected animal avatar with the animal avatar corresponding to the ball 511 a.

A method for the PC to compare the avatar of the animal selected by the user with the avatar of the animal corresponding to the ball 511a will be described. The PC numbers the animal avatars of the 8 targets in the test module target presentation interface 500, e.g., 501a, 501b, 501c, 501d, 501e, 501f, 501g, and 501h correspond to the numbers 1, 2, 3, 4, 5, 6, 7, 8, respectively. When the animal head portrait is changed into the small ball, the PC marks the numbers corresponding to the different animal head portraits to the small ball changed by the animal head portrait, so that the PC corresponds the animal head portrait to the small ball according to the number marks. The PC then compares the number corresponding to the animal avatar selected by the user with the number corresponding to the ball 511 a. If not, the user selection is wrong, and if the same, the user selection is correct.

the embodiment of the present application does not specifically limit the manner of comparison, and may be a manner of comparing the animal avatar selected by the user with the animal avatar actually corresponding to 511a by using image recognition, or the like, in addition to the manner of using the comparison number.

The PC displays a result feedback interface 520 as shown in fig. 9 and 10 according to the comparison result. The result feedback interface 520 comprises a result prompt box 521, an animal head portrait 522 or 524 corresponding to the small ball 511a, and a result feedback interface operation instruction 523. Wherein:

The achievement prompt box 521 is used for prompting the user for the selected right or wrong. If it is detected that the result of comparing the avatar selected by the user with the avatar corresponding to the ball 511a is different, the PC displays an achievement prompt 521a "your score: 0". If it is detected that the animal avatar selected by the user is the same as the animal avatar comparison result corresponding to the ball 511a, the PC displays an achievement prompt 521 as shown in fig. 10 with an achievement prompt 521c "your score: 100". The PC does not accumulate the scores in the score cues 521a and 521b, and the scores are only used for indicating the mistakes selected by the user. When the PC displays a score of 0, it indicates that the user has selected an error. When the PC displays a score of 100, it indicates that the user has selected correctly. The presentation of the prompt is not specifically limited in the embodiment of the application, and other prompts capable of showing the user's mistake can be used.

The confirm button 521b in the achievement prompt box 521 is used for displaying a target presentation interface of the next round of game or a final test result display interface 530 as shown in fig. 11. And the PC judges whether the test is finished or not according to a second preset rule after each round of game is finished. And if the test is not finished, displaying a target presentation interface of the next round of game by the PC. And if the test is judged to be finished, the PC displays a final test result display interface.

Compared with the target presentation interface of the current round of game, in the target presentation interface of the next round of game, the tracking number and the moving time are unchanged, the tracking number and the moving time are still 4 tracking targets and 4 interference targets, and the moving time is 6 s. And the PC adjusts the moving speed of the target according to a first preset rule.

The animal avatar 522 or 524 corresponding to the ball 511a is the animal avatar displayed at the position by the PC when the ball 511a stops moving. The PC displays the head portrait corresponding to the small ball 511a for the user to refer to. For example, if it is detected that the puppy head portrait is selected in the target animal head portrait selection box 513 and the animal head portrait corresponding to the ball 511a is the puppet head portrait 522 as shown in fig. 9, the PC compares the numerical identifier of the puppy head portrait with the numerical identifier of the ball 511a, and the result is different, thereby prompting the user to select an error. If the avatar corresponding to the ball 511a is the puppy avatar 524 shown in fig. 10, the PC compares the numerical identifier of the puppy avatar selected by the user with the numerical identifier of the ball 511a, and the obtained result is the same, thereby prompting the user to select correctly.

The final test result display interface 530 mainly includes a test result prompt box 531. The PC displays the user's test result, which is a speed threshold, in the prompt box 531. And the PC calculates the speed threshold according to a second preset rule. After calculating the speed threshold, the PC sends the speed threshold to the server, and the server stores the data in the information module 121.

an exemplary user interface for a PC display system training module is described below.

The following description will take the 1 st relation of the training module as an example.

Referring to fig. 12, fig. 12 is a schematic diagram of a multi-identity tracking capability enhancement system training level target presentation interface. When a user operation on the training mode button 42 is detected in the mode selection interface 40, the PC displays a training level object presentation interface 600. Interface 600 includes a level order display box 601, a level parameters display box 602, a return button 603, and a training module goal presentation area 604. Wherein:

The level order display box 601 is used for displaying the current level number. As shown in fig. 12, the level order display box 601 represents the 1 st level currently in the training mode.

the level parameter display box 602 is used to display the moving speed 602a, the clearance speed 602b and the remaining time of use 602c of the training module of the current target. Where the PC provides multiple rounds of play at each level, the movement speed 602a indicates the movement speed of the object in the current round of play at the current level. The clearance velocity 602b represents the moving velocity of the object passing through the level. The remaining time 602c represents the time that the training module can still be used on the same day, and the PC will count the time of using the training module according to the multi-identity tracking capability improvement system. The PC starts counting time from the detection of the user operation on the exercise mode button 42, and displays it in the level parameter display box 602 in the form of a countdown. When the user is detected to exit the training mode, the PC pauses the timing. Upon detecting that the user has entered the training mode again, the PC continues to count down from the paused time position. When the displayed remaining time is 0 min 0 sec, the PC will automatically turn off the training module, i.e. the user can not train any more on the day. Therefore, the influence of the long-time use of games in the training module and the long-time use of the PC, such as the influence on the vision of the user, can be reduced.

the preset time length for using the training module is not particularly limited in the embodiment of the application, and may be 1 hour, one and a half hours or two hours, and the like.

the back button 603 is used to display the mode selection interface 40.

The training module target presentation area 604 is used to display targets, and this area 604 functions the same as the target presentation area 501 in the test module. Wherein, the tracking targets are 604a, 604b and 604c, and the interference targets are 604d, 604e and 604f, which represent the targets with different identity characteristics by different animal head images.

When an operation in which the mouse pointer is detected in a region other than the return button 603 on the screen and the left button of the mouse is clicked is detected, the PC displays all the objects as the same ball in the region 604 and moves the ball in the same movement rule as in the test mode.

The PC moves the ball according to the initial moving speed set in the table 2 in the first round of the game, and adjusts the moving speed of the target in the first round of the game in the next round according to the first preset rule. For example, if the PC obtains the speed threshold of the current login account from the server and the obtained speed threshold is 10cm/s, the ball is moved at a speed of 12.5cm/s in the first round of game.

the PC counts the time when the ball starts moving, stops moving the ball after a preset moving time, and displays a training mode result selection interface 610 as shown in fig. 13. Interface 610 is similar to test mode results selection interface 510. And the PC randomly circles one of the 3 small balls corresponding to the tracking target, and displays the small ball as the circled small ball on the interface, so that the user judges the head portrait of the tracking target animal corresponding to the small ball. The PC provides a selection box of the animal head portraits of the targets for the user to select, and the selection box includes the animal head portraits corresponding to all the targets appearing in the interface 600.

When a user selection operation performed in the training mode result selection interface 600 is detected, the PC compares whether the animal avatar selected by the user is the same as the animal avatar corresponding to the circled ball. In the training mode, the PC can compare the animal head portrait selected by the user with the animal head portrait corresponding to the circled ball by comparing the numerical labels, as in the test mode. If the comparison result of the animal head portrait selected by the user and the head portrait corresponding to the circled ball is different, the PC displays a training result feedback interface shown in fig. 14 to prompt the user that the score of the current round of game is 0 and the selection is wrong. If the comparison result of the animal head portrait selected by the user and the head portrait corresponding to the circled ball is the same, the PC displays a training result feedback interface shown in fig. 15, and prompts the user that the score of the current round of game is 100, and the selection is correct. Whether the comparison result is the same or different, the PC can display the head portrait of the animal corresponding to the circled ball on the interface for the user to refer to.

If it is detected in the first pass that the outcome of the current round of play satisfies the clearance rules, the PC displays a clearance success interface 630 as shown in FIG. 16. The clearance success interface 630 mainly includes a clearance prompt box 631 for reminding the user of the success of the clearance. If a user operation to enter the next off button in the prompt box 631 is detected, the PC displays a target presentation interface for the second round of the first game. And if the result of the current round of game is detected not to meet the clearance rule, the PC displays a target presentation interface of the next round of game. The next round of game is still in the first stage of the training stage, compared with the target presenting interface of the current round of game, the number of the tracking targets, the number of the interference targets and the target moving time in the target presenting interface of the next round of game are unchanged, but the animal head portrait of the tracking target may change because the tracking target is randomly circled out from the total targets by the PC. The speed of the moving target of the PC in the next round of game is adjusted according to a first preset rule.

If the 30 th customs clearance is detected, the PC displays an all-customs clearance prompt box 632 shown in fig. 17 in the clearance success interface 630, which is used to remind the user of all the customs clearance. And when detecting that all customs of the current login account are finished, the PC does not open the training system for the account any more.

in a possible implementation manner, when it is detected that all customs clearance of the current login account is completed, the PC still opens a training system for the account, so that the user can reuse the customs clearance which has been successfully cleared.

The following describes a case where the user has not exited halfway through a certain training level. When a user operation of a return button acting on any one of the interfaces shown in fig. 12, 13, 14 and 15 is detected, the PC displays a mode selection interface 40 on the screen, and transmits the current level number and the moving speed of the object in the current round of the game to the server, which stores the current level number and the moving speed in the information recording module 121. When detecting a user operation on the training mode button 42 in the mode selection interface 40, the PC obtains information about the current login account, such as the number of training levels and the moving speed of the target when the user has last exited the training mode, from the received data sent by the server. The PC displays a target presentation interface of the training module according to the data. This can make the training mode have very good linkage, make things convenient for the user to continue training from the position when the last exit.

An exemplary user interface for a PC to display system performance assessments is described below.

Referring to fig. 18, fig. 18 is a schematic diagram of a user test result evaluation interface. When a user operation on the performance evaluation button 43 in the mode selection interface 40 is detected, the PC displays a performance evaluation interface 700 as shown in fig. 18. The interface 700 includes an interface switch tab 701, a history test result line graph 702, a big data analysis bar graph 703, and a content scroll bar 704. Wherein:

the interface switching tab 701 is used for switching the content displayed on the interface 700, which includes a test result tab and a clearance condition tab. The test result label is used for displaying the analysis of the test results of the user received from the server, and the customs condition label is used for displaying the pass level and the fail level of the user.

The historical test performance line graph 702 is used to show the speed threshold value obtained by the user for each test in the form of a line graph. The abscissa of the line graph 702 is the number of tests and the ordinate is the speed threshold. The PC clearly reflects the results of the user's test results and the change of the user's multi-identity tracking ability by using the line graph.

Big data analysis histogram 703 is used to show the level of user multi-identity tracking ability in different populations. The PC transmits user basic information, which is filled in by the user at the time of registration, to the server, which stores it in the information recording module 121. The information recording module 121 stores user basic information of all accounts. The data analysis module 122 reads the user basic information and the test result corresponding to each account in the information recording module 121, and respectively counts the level of a certain account in the category according to different categories. The categories may be gender, age, right and left handedness, right and left eye vision, etc., and the present embodiment does not specifically limit the categories.

In one possible implementation, the server divides all the accounts according to a certain category, and then determines the levels of different accounts in different categories according to the last speed threshold of each account. For example, the server divides the users according to the gender in the user basic information, divides the users into male testers and female testers, and counts the latest speed threshold of all the male testers and the female testers respectively. After the total number of people corresponding to different speed thresholds is obtained, the server draws a bar graph by taking the speed threshold as an abscissa and the number of people as an ordinate. If it is detected that the gender is a woman in the user basic information of a certain account and the last speed threshold is 9.2cm/s, the server sends the data of the big data analysis histogram 703 as shown in fig. 18 to the PC. Wherein, the PC marks the rectangle corresponding to the range of 8.5-9.5 of the speed threshold value. Specifically, the mark may be a rectangle displayed in black. The marked rectangle is used to prompt the user of the level at which their multi-identity tracking capability is in the female tester.

The content scroll bar 704 is used to display content hidden under the interface. Since the screen size of the PC is limited, the entire contents cannot be displayed in the interface. Upon detecting a user operation on the content scroll bar 704, the PC may scroll the interface content up and down, displaying the hidden content.

Specifically, the user operation acting on the content scroll bar 704 may be an operation in which the PC detects that a mouse pointer is placed in a PC screen and a mouse wheel is slid up and down, which is not particularly limited in this embodiment of the present application.

When a user operation acting on the passing situation tab in the switch tab 701 is detected, the PC displays a performance evaluation interface 700 as shown in fig. 19. The interface 700 includes a clearance area 705 and an clearance area 706. Wherein:

clearance area 705 is used to show the level of clearance that has been successfully cleared in the training module, as indicated by the lock being unlocked.

The not-passed area 706 is used to display the level of the training module that has not been passed, represented by the locked lock. When it is detected that a certain round of game in a certain level satisfies the clearance rule, the PC can display a clearance success interface and display the lock representing the next clearance of the level as an unlocked state in the score evaluation interface.

the following describes the process of the PC for training the multi-identity tracking capability of the user.

Referring to fig. 20, fig. 20 is a flowchart illustrating a method for training multi-identity tracking capability according to an embodiment of the present disclosure. As shown in fig. 20, the method includes steps S101 to S105.

S101-S103 are processes for testing multi-identity tracking capability of the user.

S101, displaying a test interface by a PC (personal computer), wherein the test interface comprises a first target group; the first target group includes a plurality of targets having different shapes, and the targets having different shapes are all in a stationary state.

the test interface may be referenced to an interface as shown in FIG. 7, including targets in the first target group, such as tracking targets 501a, 501b, 501c, and 501d shown in FIG. 7, in the targets circled in the interface as shown in FIG. 7. 501a, 501b, 501c and 501d represent objects of different shapes, wherein different animal head portraits are used to represent the objects of different shapes.

s102, displaying the objects in the first object group as objects with the same appearance, moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in the second object group.

The objects of the same shape are, for example, beads 511a, 511b, 511c and 511d in the interface shown in fig. 8. 511a, 511b, 511c, and 511d are included in the second target group.

S103, receiving a first user operation associated with the second target group, and determining a speed threshold according to the first user operation, wherein the speed threshold is used for representing the multi-identity tracking capability of the user.

The interface for the first user action may refer to the interface shown in fig. 8, the interface shown in fig. 8 may include a test option including the target of the first target group, and the first user action may be a mouse click action on the puppy avatar in the target animal avatar selection box 513 in the interface shown in fig. 8.

S104-S105 are processes of training the multi-identity tracking ability of the user according to the speed threshold value obtained by the user test.

s104, moving and displaying a plurality of targets with the same appearance on a training interface; a plurality of targets having the same shape are included in the third target group; each target in the plurality of targets with the same appearance corresponds to a target with a specific appearance; the moving speed of a plurality of objects having the same shape is determined by a speed threshold.

The relationship between the moving speed and the speed threshold value of a plurality of objects having the same shape can be exemplified with reference to table 2.

And S105, receiving a second user operation associated with the third target group, wherein the second user operation is used for determining a training result.

The training interface may be referenced to the interface shown in FIG. 13, where the interface shown in FIG. 13 contains the objects in the third object group, such as the beads shown in FIG. 13. The interface shown in FIG. 13 also includes a training option that includes objects having a characteristic appearance that correspond to the third set of objects. The second user operation may be a mouse click operation on the hare head portrait in the target animal head portrait selection frame in the interface shown in fig. 13.

In the embodiment of the application, the objects in the first object group displayed in the test interface and the objects in the third object group displayed in the training interface are objects with different shapes, and each object in the third object group displayed in the training interface corresponds to a different object with a specific shape, which is closer to the situation of simulating the tracking of different identity objects in real life. In addition, before the user is trained, the multi-identity tracking capability of the user is tested, the training difficulty is determined according to the capability of the user, and the multi-identity tracking capability of the user can be effectively improved.

referring to fig. 21, fig. 21 is a schematic structural diagram of a PC according to an embodiment of the present disclosure, where the PC is used to execute the multi-identity tracking capability training method according to the embodiment of the present disclosure.

As shown in fig. 21, the structure of the PC includes a display unit 801 and a receiving unit 802, in which:

a display unit 801, configured to display a test interface, where the test interface includes a first target group; the first target group comprises a plurality of targets with different shapes, and the targets with different shapes are in a static state; respectively displaying the objects in the first object group as objects with the same appearance, and moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in a second object group;

A receiving unit 802, configured to receive a first user operation associated with a second target group, and determine a speed threshold according to the first user operation, where the speed threshold is used to characterize a multi-identity tracking capability of a user;

The display unit 801 is further used for movably displaying a plurality of targets with the same appearance on the training interface; the plurality of objects having the same shape are included in a third object group; each of the plurality of objects having the same contour corresponds to an object having a specific contour; the moving speed of the plurality of objects having the same shape is determined by a speed threshold;

The receiving unit 802 is further configured to receive a second user operation associated with the third target group, where the second user operation is used to determine a training result.

Referring to fig. 22, fig. 22 is a schematic structural diagram of another PC provided in the embodiment of the present application. In particular, the apparatus may include a communication interface 910, a processor 920, a memory 930, and a display 940 connected by a bus. The communication interface 910 may include at least one device such as a network interface 911. The memory 930 may include an external memory 931 (e.g., a hard disk, an optical disk, or a floppy disk, etc.) and an internal memory 932.

In the embodiment of the present application, the method is executed based on a computer program, program files of the computer program are stored in the external memory 931 of the apparatus, loaded into the internal memory 932 at the time of execution, and then compiled into machine code and then transferred to the processor 920 for execution, so that the logical testing module 111, the training module 112, and the achievement calculating module 113 are formed based on the apparatus. The processor 920 is also used to form the display unit 801 and the receiving unit 802 shown in fig. 21 when executing the computer program. During the execution of the multi-identity tracking ability training method, the communication interface 910 receives the parameters sent from the server, transfers the parameters to the memory 930 for buffering, and then inputs the parameters into the processor 920 for processing, and the processed result data or the buffered parameters are further processed in the memory 930 or transferred to the display 940 for displaying.

The display screen is used for displaying a test interface and a training interface, and the test interface comprises a first target group; the first target group comprises a plurality of targets with different shapes, and the targets with different shapes are all in a static state; respectively displaying the objects in the first object group as objects with the same appearance, and moving and displaying the objects with the same appearance, wherein the objects with the same appearance are contained in the second object group;

The processor is used for calling the computer program to enable the PC to execute the following operations:

Receiving a first user operation associated with a second target group, and determining a speed threshold according to the first user operation, wherein the speed threshold is used for representing the multi-identity tracking capability of the user; moving and displaying a plurality of targets with the same appearance on the training interface; a plurality of targets having the same shape are included in the third target group; each target in the plurality of targets with the same appearance corresponds to a target with a specific appearance; the moving speed of a plurality of objects with the same appearance is determined by a speed threshold value; a second user action associated with the third target group is received, the second user action being for determining a training result.

Not limited to the above modules, the PC may also contain more or less modules.

The above description is only a specific implementation of the embodiments of the present application, but the scope of the embodiments of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the embodiments of the present application should be covered by the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.