Method and device for performing attention allocation training based on graphic changes

Abstract

The present application discloses a method and device for performing attention allocation training based on graphic changes. The method includes: randomly selecting the first and second feature information from the first and second feature information groups, and keeping them displayed in the first area and the second area of ​​the display interface within a first time period; randomly selecting the first and second graphics from the graphic training groups corresponding to the first and second feature information groups, and keeping them displayed near the first and second feature information within a second time period, and the duration of the second time period is not greater than the duration of the first time period; the sum of the presentation times of the first feature information and the second feature information corresponding to the first area and the second area is equal to the set threshold, summarizing the interactive operation information of the trainee, and calculating the average reaction time of the trainee. It solves the problem that offline attention allocation training cannot always pay attention to the stability and distribution of the trainee's attention, and there are problems such as low training efficiency, low accuracy, and long training time.

Description

Technical Field

[0001] The present embodiment relates to the field of computer technology, and specifically to a method and device for performing attention allocation training based on graphic changes. Background Art

[0002] Cognitive impairment is a progressive degenerative symptom that is considered irreversible. Currently, there is no specific medicine or treatment, and the only way to slow down the progression of the disease is to rely on manual care. Traditional methods are mostly a combination of drug therapy and home care rehabilitation. However, since the cognitive ability, attention ability, and judgment ability of patients with cognitive impairment have been impaired or severely impaired, the effects of drug therapy and traditional care methods are extremely limited. Although caregivers have invested a lot of energy in cooperating with care, the rehabilitation effect is not great.

[0003] Attention is a complex cognitive process. Attention refers to the direction and concentration of human psychological activities on certain external things. Attention can be measured from three aspects: stability, distribution and transferability. Stability refers to the ability to stably focus attention on a specific object and activity within a certain period of time. Distribution refers to the ability to evenly distribute attention among activities when performing multiple activities. Transferability refers to the ability to actively, purposefully and timely adjust attention from one object or activity to another. Attention distribution training starts from the above three dimensions to achieve the flexibility of the trainee's thinking and enable the trainee to quickly process information to form a basis for judgment.

[0004] At present, the attention allocation training for cognitive impairment adopts traditional solutions, which is to find the differences between two pictures within a specified time. One is the original picture and the other is the training picture. Compare the original picture and the training picture, and point out the different areas in the two pictures. The training ends only when the user points out all the different areas of the original picture and the training picture within the preset time. Or, if the user does not point out all the different areas of the two pictures within the preset time, the training ends, but the user does not pass the training. The pictures used for training in this training are fixed and cannot be increased or reduced, and the user cannot choose the level of the pictures for training. It may happen that when the trainee conducts the next training, the two pictures used in the previous training appear. Using the above traditional solutions, it is impossible to train the stability, allocation and transferability of the trainee's attention from time to time. In addition, due to the non-increase, non-reduction and repetitiveness of the pictures, the training results are poor, the accuracy is low and the training time is uncontrollable. Summary of the invention

[0005] The purpose of the embodiments of the present application is to propose an improved method and device for performing attention allocation training based on graphic changes, so as to solve the technical problems existing in offline attention allocation training, such as the inability to always pay attention to the stability, distribution and transferability of the trainees' attention, low training efficiency, low accuracy and long training time.

[0006] In a first aspect, an embodiment of the present application provides a method for performing attention allocation training based on graphic changes, the method comprising:

[0007] A: randomly selecting first feature information from the first feature information group and displaying it in a first area of ​​the display interface within a first time period, and re-performing step A in response to detecting an interactive operation input of a trainer or after the first time period expires;

[0008] B: randomly selecting second characteristic information from the second characteristic information group and displaying it in the second area of ​​the display interface within the first time period, and re-performing step B in response to detecting an interactive operation input or after the first time period expires;

[0009] C: randomly selecting a first graphic from the graphic training group corresponding to the first feature information group and displaying it near the first feature information in a second time period, and re-performing step C in response to an interactive operation input or expiration of the second time period, wherein the duration of the second time period is not greater than the duration of the first time period;

[0010] D: randomly selecting a second graphic from the graphic training group corresponding to the second feature information group and displaying it near the second feature information within a second time period, and re-performing step D in response to an interactive operation input or after the second time period expires;

[0011] E: In response to the total number of presentations of the first feature information and the second feature information corresponding to the first area and the second area being equal to the set threshold, the interactive operation information of the trainee is summarized, and the average reaction time of the trainee is calculated.

[0012] In this method, the first characteristic information is presented in the first area in the first time period and the first graphic is presented at intervals near the first characteristic information, and the second characteristic information is presented in the second area in the first time period and the second graphic is presented at intervals near the second characteristic information, to form the left and right attention allocation areas of the trainee, and each graphic characteristic information in the graphic training group is briefly presented in the second time period to promote the trainee to improve the stability, transferability, and allocation of attention. Finally, the interactive operation input of the trainee in the corresponding area is captured by the above-mentioned execution subject, and the judgment result of the trainee's attention allocation training is obtained, and the trainee's judgment result is compared with the system preset rules, and the comparison result is presented to the display interface, and the above training links are continued until the required number of training times is completed.

[0013] In some embodiments, the selected graphic is displayed in the corresponding area, and the corresponding characteristic information of the selected graphic is recorded. If the corresponding characteristic information is consistent with the currently displayed characteristic information, the time from the display of the selected graphic to the detection of the trainee's interactive operation input in the corresponding area is recorded as the reaction time. By capturing the trainee's reaction time, the execution subject can intuitively and conveniently obtain the trainee's training results in performing attention allocation training, and provide reference data for subsequent improvement of training intensity.

[0014] In some embodiments, the method further comprises the following steps:

[0015] During the execution of the method, the reaction time of each characteristic information trainee is continuously recorded and accumulated to obtain the average value as the average reaction time, and the average reaction time is displayed in the display interface. Through the training setting of multiple questions, the reaction time of the trainee in each question is recorded, and the average value is finally summarized to avoid other factors that cause the trainee to have no interactive operation input, which affects the accuracy of the final training evaluation.

[0016] In some embodiments, when the corresponding characteristic information is consistent with the characteristic information currently displayed, in response to capturing the information of the interactive operation input in the corresponding area, the current training test result is recorded as a correct mark and the reaction time is recorded; if the characteristic information currently displayed is presented for more than the first time period, the current training result is recorded as an error mark. The setting of the second time period facilitates the short-term presentation of the characteristic information elements in the graphics, prompting the trainee to always maintain a highly concentrated training state. The setting of the first time period facilitates the control of the overall training time to avoid the phenomenon that the trainee loses concentration due to long-term training, resulting in poor final training results. The reaction time facilitates the provision of parameters for subsequent aggregation and average calculation, so that the trainee can intuitively and accurately obtain the training results of each question.

[0017] In some embodiments, when the corresponding feature information is inconsistent with the currently displayed feature information, if the trainee's interactive operation in the corresponding area is detected, the current training test result is marked as an error mark, and feature information is reselected from the feature information group to be presented in the corresponding area. By comparing whether the displayed feature information is consistent with the feature information elements presented in the graphic, the operation rules are made simple and clear, avoiding cumbersome operations that affect the training effect.

[0018] In some embodiments, constructing the first and second feature information groups comprises the following steps:

[0019] Construct a hierarchical graphic database and classify it into primary, intermediate and advanced graphic databases based on the number of extracted graphic elements;

[0020] Constructing hierarchical feature information databases, extracting feature information of one, two and three graphic elements of graphics in primary, intermediate and advanced graphic databases respectively, and constructing corresponding primary, intermediate and advanced feature information databases;

[0021] Construct a graphic data group, use the classified hierarchical graphic database and the corresponding feature information database to perform a fixed number of groupings to obtain a graphic data group, the graphic data group includes a graphic training group and a feature information group, and the feature information in the feature information group corresponds one-to-one to the graphic feature elements in the graphic training group.

[0022] First, a hierarchical graphic database is constructed, and then a hierarchical feature information database is constructed, and finally a graphic data group is constructed to obtain a feature information group and a graphic training group with a one-to-one correspondence of hierarchical classification. The first feature information and the second feature information are randomly selected from different feature information groups, and the corresponding first graphics and the second graphics are also randomly extracted from the corresponding first feature information group and the second feature information group. They are presented in sequence through intervals, so that the graphic elements consistent with the first feature information are presented, and the graphic elements consistent with the second feature information are presented. As long as the trainer maintains concentrated attention and clicks on it for interactive operation, the execution subject can obtain the corresponding average reaction time and training parameters.

[0023] In some embodiments, the duration of the second time period is set to be 0.1-1.0 times the duration of the first time period. The setting of the first time period and the second time period is convenient for training the stability, distribution and transfer of the trainee's attention at all times, and is convenient for controlling the duration of the overall training and improving the efficiency of attention distribution training.

[0024] In a second aspect, an embodiment of the present application provides an apparatus for performing attention allocation training based on graphic changes, the apparatus comprising: a first feature module, configured to randomly select first feature information from a first feature information group and keep displaying it in a first area of ​​a display interface within a first time period, and re-execute the first feature module in response to detecting an interactive operation input of a trainee or after the first time period expires; a second feature module, configured to randomly select second feature information from a second feature information group and keep displaying it in a second area of ​​the display interface within the first time period, and re-execute the second feature module in response to detecting an interactive operation input or after the first time period expires; a first graphic module, configured to randomly select a second feature information from a graphic training group corresponding to the first feature information group; A graphic is displayed near the first characteristic information in a second time period, and the first graphic module is re-executed in response to interactive operation input or expiration of the second time period, and the duration of the second time period is not greater than the duration of the first time period; a second graphic module is configured to randomly select a second graphic from a graphic training group corresponding to the second characteristic information group and display it near the second characteristic information in a second time period, and the second graphic module is re-executed in response to interactive operation input or expiration of the second time period; an average reaction time module is configured to summarize the interactive operation information of the trainee and calculate the average reaction time of the trainee in response to the sum of the presentation times of the first characteristic information and the second characteristic information corresponding to the first area and the second area being equal to a set threshold.

[0025] In a third aspect, an embodiment of the present application provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by one or more processors, the one or more processors implement a method as described in any implementation method in the first aspect.

[0026] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any implementation manner in the first aspect.

[0027] The present application provides a method and device for performing attention allocation training based on graphic changes. By displaying the first characteristic information in the first area of ​​the display interface of the terminal device within the first time period and displaying the first graphic at intervals of the second time period near it, and displaying the second characteristic information in the second area within the first time period and displaying the second graphic at intervals of the second time period near it, the trainer matches the characteristic information corresponding to the graphic presented at intervals in the first area or the second area with the first characteristic information or the second characteristic information displayed in the area, and combines the trainer's human-computer interaction operation input to obtain the trainer's attention allocation training result, and directly display the interaction result. The present application's method and device for performing attention allocation training based on graphic changes, by constantly updating the graphic characteristic information of the two areas, and updating the display characteristic information at intervals, realizes the distribution, stability and transferability of the trainer's attention at all times, which is not only simple to operate but also highly accurate. In addition, by using the setting of the first time period and the second time period, on the one hand, it is convenient for the trainer to concentrate when doing training tests, and on the other hand, by setting the time, the accuracy of attention allocation training is improved and the duration of training is reduced. Through the present application embodiment, more trainer behavior data can also be collected, and the accuracy and evaluation efficiency of attention allocation can be improved through the analysis and processing of these trainer behavior data. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0029] Figure 1 is an exemplary system architecture diagram to which the present application may be applied;

[0030] Figure 2 is a flowchart of an embodiment of a method for performing attention allocation training based on graphic changes according to the present application;

[0031] Figure 3 is a flowchart of another embodiment of a method for performing attention allocation training based on graphic changes according to the present application;

[0032] Figure 4 is an exemplary schematic diagram of performing attention allocation training operations based on graphic changes according to the present application;

[0033] Figure 5 is a structural schematic diagram of an embodiment of a device for performing attention allocation training based on graphic changes according to the present application;

[0034] Figure 6 It is a structural diagram of a computer system suitable for implementing an electronic device of an embodiment of the present application. DETAILED DESCRIPTION

[0035] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It should also be noted that, for ease of description, only the parts related to the relevant invention are shown in the accompanying drawings.

[0036] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0037] Figure 1 An exemplary system architecture 100 is shown to which an attention allocation training method based on graphic changes according to an embodiment of the present application can be applied.

[0038] like Figure 1 As shown, the system architecture 100 may include a terminal device 101, a network 102 and a server 103. The network 102 is used to provide a medium for a communication link between the terminal device 101 and the server 103. The network 102 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0039] The trainer can use the terminal device 101 to interact with the server 103 through the network 102 to receive or send messages, etc. Various communication client applications can be installed on the terminal device 101, such as drawing applications, instant messaging tools, search applications, web browser applications, shopping applications, etc.

[0040] The terminal device 101 can be various electronic devices, including but not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), etc., and fixed terminals such as digital TVs, desktop computers, etc.

[0041] The server 103 may be a server that provides various services, such as an attention allocation training server that provides support for the feature information group and feature information and graphics in the graphic training group for display on the terminal device 101. The attention allocation training server may send information such as software and operating instructions for implementing attention allocation training to the terminal device.

[0042] It should be noted that the method for performing attention allocation training based on graphic changes provided in the embodiments of the present application is usually executed by the terminal device 101, and accordingly, the device for performing attention allocation training based on graphic changes is usually arranged in the terminal device 101.

[0043] It should be understood that Figure 1The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0044] Continue to refer Figure 2 , which shows a process 200 of an embodiment of a method for performing attention allocation training based on graphic changes according to the present application. The method comprises the following steps:

[0045] Step 201, randomly select first feature information from a first feature information group and keep displaying it in a first area of ​​a display interface within a first time period, and re-execute step 201 in response to detecting an interactive operation input from a trainer or after the first time period expires.

[0046] Step 202, randomly select second characteristic information from the second characteristic information group and keep displaying it in a second area of ​​the display interface within a first time period, and re-execute step 202 in response to detecting an interactive operation input or expiration of the first time period.

[0047] In this embodiment, the execution subject (eg Figure 1 The terminal device shown in the figure) constructs the first characteristic information group and the second characteristic information group before steps 201 and 202. First, the graphic database is constructed, and the number of graphic elements extracted from the graphic database is used to classify the primary, intermediate and advanced levels. Among them, the primary, intermediate and advanced levels correspond to the extraction of characteristic information of one, two and three graphic elements, respectively, to form primary, intermediate and advanced characteristic information libraries. The graphic databases and corresponding characteristic information libraries of the same level are grouped in a fixed number to obtain a one-to-one corresponding graphic training group and characteristic information group. The interface is displayed in the terminal device, divided into left and right areas, and the presentation of the randomly selected first and second characteristic information is performed in the first time period according to steps 201 and 202, and the first graphic and second graphic selected from the corresponding first graphic training group and second graphic training group are presented in the vicinity in the second time period.

[0048] In a specific embodiment, first, a hierarchical graphic database is constructed, and primary, intermediate and advanced graphic databases are classified based on the number of extracted graphic elements. A hierarchical feature information library is constructed, and feature information of one, two and three graphic elements in the primary, intermediate and advanced graphic databases are extracted respectively, and corresponding primary, intermediate and advanced feature information libraries are constructed, wherein one graphic element feature information of each graphic in the primary graphic database is extracted to construct a primary feature information library; two graphic element feature information of each graphic in the intermediate graphic database is extracted to construct an intermediate feature information library; three graphic element feature information of each graphic in the advanced graphic database is extracted to construct an advanced feature information library. A graphic data group is constructed, and a fixed number of groupings are performed using the classified hierarchical graphic database and the corresponding feature information database to obtain a graphic data group, which includes a graphic training group and a feature information group, and the feature information in the feature information group corresponds one-to-one to the graphic feature elements in the graphic training group.

[0049] Step 203, randomly select a first graphic from the graphic training group corresponding to the first feature information group and keep displaying it near the first feature information within a second time period, and re-execute step 203 in response to interactive operation input or expiration of the second time period, and the duration of the second time period is not greater than the duration of the first time period.

[0050] Step 204, randomly select a second graphic from the graphic training group corresponding to the second characteristic information group and keep displaying it near the second characteristic information within a second time period, and re-execute step 204 in response to interactive operation input or expiration of the second time period.

[0051] In this embodiment, the first characteristic information and the second characteristic information are respectively taken from characteristic information in different selected characteristic information groups of the same level, and the first graphic and the second graphic are respectively taken from the selected graphic training group corresponding to the selected characteristic information group. The first characteristic information and the second characteristic information are displayed in the first area and the second area in the first time period, and the first graphic and the second graphic are displayed near the characteristic information in the second time period. Therefore, the first graphic or the second graphic having the first characteristic information or the second characteristic information is included in the corresponding selected graphic training group.

[0052] Step 205 , in response to the total number of presentations of the first characteristic information and the second characteristic information corresponding to the first area and the second area being equal to a set threshold, the interactive operation information of the trainee is summarized and the average reaction time of the trainee is calculated.

[0053] In this embodiment, the execution subject displays the selected graphic in the corresponding area and records the corresponding characteristic information of the selected graphic. If the corresponding characteristic information is consistent with the currently displayed characteristic information, the time from the display of the selected graphic to the detection of the interactive operation input of the trainee in the corresponding area is recorded as the reaction time. If the execution subject does not detect the interactive operation input of the trainee and the corresponding area at the end of the second time period, there is no need to record the reaction time. The reaction time of the trainee for each characteristic information is continuously recorded and accumulated to obtain its average value as the average reaction time, and the average reaction time is displayed in the display interface. The average reaction time is specifically divided into the average reaction time of the first area, the average reaction time of the second area and the total average reaction time. With the setting of the average reaction time, the attention allocation training test results of the trainee can be obtained intuitively and accurately.

[0054] Interactive operation input means that the trainee or the above-mentioned execution subject can perform operations such as clicking and position determination on the corresponding area. The trainee can operate through various input devices such as touch screen, mouse and keyboard. The corresponding area can be set at any position on the display interface as long as it is eye-catching and convenient for the trainee to operate.

[0055] In a specific embodiment, when the corresponding feature information is consistent with the currently displayed feature information, in response to capturing the information of the interactive operation input in the corresponding area, the current training test result is recorded as a correct mark and the reaction time is recorded; if the currently displayed feature information is presented for more than the first time period, the current training result is recorded as an error mark. When the corresponding feature information is inconsistent with the currently displayed feature information, if the trainee's interactive operation in the corresponding area is detected, the current training test result is recorded as an error mark, and the feature information is re-selected from the selected feature information group to be presented in the corresponding area. With the setting of correct marks and error marks, trainees with cognitive impairments can intuitively and concisely understand the results of each training, thereby improving the trainee's user experience.

[0056] In some optional implementations of this embodiment, the duration of the second time period is set to 0.1-1.0 times the duration of the first time period. The duration of the first time period indicates the display time of the selected feature information in the corresponding area, and the duration of the second time period indicates the display time of the selected graphics in the corresponding area. The duration of the first time period is greater than the duration of the second time period, so that the presentation time of the selected feature information is greater than the presentation time of the selected graphics, which facilitates the trainee to obtain a graphic that matches the currently displayed feature information content in the randomly displayed selected graphics by selecting the content of the feature information, and realizes the role of constantly training attention stability, distribution and transfer. With the setting of the first time period and the second time period, on the one hand, it is convenient for the trainee to concentrate on completing the attention distribution training; on the other hand, it avoids affecting the true accuracy of the training test results due to unlimited training time.

[0057] The present application provides a method and device for performing attention allocation training based on graphic changes. By displaying the first characteristic information in the first area of ​​the display interface of the terminal device within the first time period and displaying the first graphic at intervals of the second time period near it, and displaying the second characteristic information in the second area within the first time period and displaying the second graphic at intervals of the second time period near it, the trainer matches the characteristic information corresponding to the graphic presented at intervals in the first area or the second area with the first characteristic information or the second characteristic information displayed in the area, and combines the trainer's human-computer interaction operation input to obtain the trainer's attention allocation training result, and directly display the interaction result. The present application's method and device for performing attention allocation training based on graphic changes, by constantly updating the graphic characteristic information of the two areas, and updating the display characteristic information at intervals, realizes the distribution, stability and transferability of the trainer's attention at all times, which is not only simple to operate but also highly accurate. In addition, by using the setting of the first time period and the second time period, on the one hand, it is convenient for the trainer to concentrate when doing training tests, and on the other hand, by setting the time, the accuracy of attention allocation training is improved and the duration of training is reduced. Through the present application embodiment, more trainer behavior data can also be collected, and the accuracy and evaluation efficiency of attention allocation can be improved through the analysis and processing of these trainer behavior data.

[0058] Further references Figure 3 , which shows a process 300 of another embodiment of a method for performing attention allocation training based on graphic changes according to the present application. The method comprises the following steps:

[0059] Step 301, rule description example.

[0060] In this embodiment, an example animated image is presented on the display interface of the terminal device, and a corresponding example description is presented through text and / or voice. The specific rule descriptions include, in sequence, "the screen is divided into two areas, left and right, and different questions are displayed above both sides", "according to the requirements of the question on the left, select a pattern that matches the question from the constantly switching patterns on the left", and "similarly, according to the requirements of the question on the right, select a pattern that matches the question from the constantly switching patterns on the right".

[0061] Step 302, determine whether it is an example operation.

[0062] In this embodiment, the trainee can choose whether to skip the example operation according to his / her actual situation. In response to the "Next" button being activated, step 303 is executed accordingly, and in response to the "Skip" button being activated, step 304 is directly executed.

[0063] Step 303, practice with examples.

[0064] In this embodiment, the first characteristic information is presented in the first time period on the right side of the screen of the terminal device display interface, and the first graphic is presented in the second time period. The second characteristic information is presented in the first time period on the left side of the screen, and the second graphic is presented in the second time period. The trainer needs to determine whether the corresponding characteristic information of the first graphic and the second graphic that change in the second time period are consistent with the first characteristic information and the second characteristic information respectively. According to the judgment result of the customer, after the judgment result is completed by clicking output, etc., the prompt of the accuracy rate and average reaction time of the attention allocation training example training is presented on the terminal device display interface, and the "Start Training" interface appears.

[0065] Preferably, the first time period is set to a range of 0.1s-50s, and the second time period is set to a range of 0.1s-10s. The length of the first time period and the second time period can be determined according to the degree of cognitive impairment of the trainee, the length of time required to complete the interactive operation input, and the number of selected graphics in the selected training graphic group. By setting the first time period and the second time period, it is convenient for the trainee to concentrate and complete the training test efficiently and in a short time, while avoiding the phenomenon of poor training results caused by factors such as the trainee's emotions and lack of concentration caused by long-term training.

[0066] Step 304, formal evaluation.

[0067] In this embodiment, when the left and right regions change, if the question in the left and right regions is the same as the changing graphic, click the same graphic; if the question in the left and right regions is different from the changing graphic, there is no need to click the graphic, and the training result of the question is displayed on the left side of the screen of the terminal device display interface. After the current level training is completed, continue to execute step 305.

[0068] In a specific embodiment, the formal assessment training is divided into 1-5 levels, and each level is set with 10-50 training questions. The specific level and number of training questions can be set according to the degree of cognitive impairment of the trainee, and the number of level graphic feature information elements increases with the increase of the level difficulty, so as to improve the training intensity of the trainee.

[0069] The first feature information randomly selected from the first feature information group appears on the right side of the screen of the terminal device display interface in the first time period, and the second feature information randomly selected from the second feature information group appears on the left side of the screen in the first time period; the first figure randomly selected from the first training figure group appears directly below the first feature information, and the second figure randomly selected from the second training figure group appears directly below the second feature information, and the first feature information group, the first figure training group, the second feature information group, and the second figure training group all belong to the feature information group and the training figure group that have a one-to-one correspondence in the same level of figure data group. The trainer needs to pay attention to the first feature information and the second feature information presented in the left and right areas in the first time period at the same time, and focus on the first figure and the second figure that are transformed at the interval of the second time period, so as to select the figure consistent with the first feature information element from the first figure with different feature information transformed at the interval time, and select the figure consistent with the second feature information element from the second figure with different feature information transformed at the interval time, and select the figure consistent with the second feature information element from the second figure with different feature information transformed at the interval time, and select the figure that the trainer thinks is consistent in the corresponding area through the interactive operation input mode before the end of the first time period. The execution subject obtains the correctness of the trainer's attention training by capturing the trainer's interactive information and judging it with the rules preset by the system. At the same time, the interactive information also includes the captured right reaction time and left reaction time, and the right average reaction time, the left average reaction time and the total average reaction time are calculated through the left and right reaction times, so as to obtain the attention allocation training results of the trainee. It can be associated that the third area and the fourth area can also be set to repeat the display of the left and right feature information and graphics to achieve the breadth of training the trainee, which can be set and adjusted according to the recovery degree of the trainee.

[0070] In some optional embodiments, 10 questions are set for each level, 7 graphics are set for each question, the first time period is set to 35 seconds, the second time period is set to 5 seconds, the answer time for each question is up to 35 seconds, in response to the trainee clicking to start training, the question interface opens and starts counting, the first characteristic information and the second characteristic information are displayed for up to 35 seconds, and within 35 seconds, the first graphic and the second graphic are presented below the first characteristic information and the second characteristic information, and the characteristic information corresponding to the first graphic and the second graphic are displayed alternately, each characteristic information display time is 5 seconds, the characteristic information corresponding to the first graphic and the second graphic displayed at intervals includes the content of the first characteristic information and the second characteristic information, and the trainee needs to identify and click the graphic within 5 seconds. If the trainee performs interactive operation input within 35 seconds, the display interface displays a correct mark or an error mark, the training of this question ends, and the training of the next question begins; if the trainee does not perform interactive operation input within 35 seconds, then after the first time period of 35 seconds ends, an error mark is displayed, and the training of the next question begins. Associatively, in order to meet the training needs of trainees with different degrees of cognitive impairment, the number of times a graphic containing corresponding characteristic information consistent with the first characteristic information or the second characteristic information appears can be greater than once, which is specifically achieved by adjusting the number of pictures corresponding to each question or extending the length of the first time period.

[0071] In some optional specific embodiments, the formal assessment training is divided into 3 levels, including primary level, intermediate level and advanced level training, and the first feature information, the first figure, the second feature information, and the second figure in the primary level training are respectively selected from the first feature information group, the first figure training group, the second feature information group, and the second figure training group in the primary level graphic data. The intermediate level training and the advanced level training are respectively selected from the intermediate level graphic data and the advanced level database. Among them, the feature information element in the feature information group in the primary level database contains only one graphic feature information element, specifically including shape or color, such as the first feature information is "square" and the second feature information is "blue"; the feature information element in the feature information group in the intermediate level database contains two graphic feature elements, specifically including shape and color, number and color, letter and color, such as the first feature information is "square, red", and the second feature element is "8, blue"; the feature information element in the feature information group in the advanced level database contains three graphic feature elements, specifically including the first shape, the second shape and color, letter, color and capitalization, such as the first feature information is "dot, square, red", and the second feature element is "g, blue, capital". In connection, the number of graphic feature elements can be increased step by step, and the relevant level graphic database information can be updated and improved, such as the first shape, the second shape, the third shape and color, letters, numbers, colors and uppercase and lowercase letters, etc., and the number of graphic feature elements can be increased step by step to achieve a smooth transition from easy to difficult training levels, gradually improve the training intensity of the trainees, and achieve the purpose of using graphic transformation to perform attention allocation training.

[0072] In a specific embodiment, after the formal assessment training is completed, the screen of the terminal device display interface will display the final training assessment results of this assessment training, including the total number of levels of this formal assessment training, the number of questions at each level and the corresponding accuracy, average reaction time and other information.

[0073] Step 305, determine whether it is the last level, if "yes" save the data and end, if "no" execute step 306.

[0074] Step 306, continue to the next level.

[0075] In this embodiment, the next stage can be performed by adding left and right question judgment conditions and repeating step 305.

[0076] In some optional implementations of this embodiment, when the trainer does not observe the first graphic that is identical to the first characteristic information within the specified time, no operation is performed; or, when the trainer performs interactive operation input on the first graphic that does not contain the same first characteristic information within the specified time, the judgment result displays "cross"; when the trainer observes the first graphic that is identical to the first characteristic information within the specified time, and performs interactive operation input on the first graphic that contains the same first characteristic information within the specified time, the judgment result displays a check. Associatively, the judgment result may include but is not limited to at least one of the following: text, icon, etc. This implementation method enables the trainer to understand the results of the training in a timely manner during the training process and improve the training efficiency. In addition, incorporating the specific operation time parameters of the trainer such as the first time period, the second time period and the reaction time into the statistical scope helps to enrich the data of the attention allocation training evaluation.

[0077] In some optional implementations of this embodiment, in step 304, the execution subject may further perform the following steps:

[0078] Collect the data generated by the trainer during the attention allocation training. Among them, the data generated after the human-computer interaction can be the data generated after the above-mentioned execution subject determines and scores the correctness of the trainer's operation. As an example, the above-mentioned data may include the reaction time used for each step in the trainer's attention allocation training operation process, the number of times the trainer clicks pause and / or start, the number of incorrect operations, and the various time parameters experienced during the entire process of attention allocation training. Then, based on the data, generate result data for evaluating the trainer's attention allocation training. The generated result data can be further sent to the server for further analysis by doctors, therapists and other personnel, thereby improving the accuracy and practicality of attention allocation training.

[0079] Further references Figure 4 , which shows an exemplary schematic diagram of performing attention allocation training operations based on graphic changes according to the present application. Figure 4 As shown, this is a question of the first level of attention allocation training. The screen of the terminal device display interface presents the first graphic of different characteristic information elements of the same training graphic group in three different time periods. The first characteristic information is "red" and presented on the left side of the screen, and the second characteristic information is "number 2" and presented on the right side of the screen. Figure 4 The characteristic information corresponding to the first graphic in (a) is "yellow", and the characteristic information corresponding to the second graphic is "number 4". The graphics presented in the left and right areas are inconsistent with the two pieces of characteristic information currently displayed, so no operation is required; Figure 4As shown in (b), the feature information corresponding to the first graphic is "red", and the feature information corresponding to the second graphic is "number 4". The feature information corresponding to the graphic in the left area is consistent with the first feature information. Click the corresponding area (the position of the red square) to implement interactive operation input, record the completion of the first question training, and continue to present the next question; the graphic in the right area is inconsistent with the two currently displayed feature information, and no operation is required; continue to refer to Figure 4 As shown in (c), the characteristic information corresponding to the first graphic is "yellow", and the characteristic information corresponding to the second graphic is "number 2". The characteristic information corresponding to the graphic in the right area is consistent with the second characteristic information. Click the corresponding area (the position of the number 2) to implement interactive operation input, record the completion of the second question training, and continue to present the next question. The graphic in the left area is inconsistent with the two currently displayed characteristic information, and no operation is required. When the training of question 10 is completed, the attention allocation training of this level is completed, and the accuracy, left and right average reaction time and total reaction time recorded in each question of this level are counted and summarized and presented. Among them, the average reaction time is set to the time from the presentation of the graphic that meets the currently displayed characteristic information to the time when the trainee clicks on the graphic. If the trainee clicks on a graphic that is inconsistent with the currently displayed characteristic information, the reaction time is not counted. The average reaction time is the average value of the reaction time.

[0080] Further references Figure 5 As an implementation of the methods shown in the above figures, the present application provides an embodiment of a device for performing attention allocation training based on graphic changes. Figure 2 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0081] like Figure 5As shown, the attention allocation training device 500 based on graphic changes of this embodiment includes: a first feature module 501, configured to randomly select first feature information from a first feature information group and keep displaying it in a first area of ​​a display interface within a first time period, and re-execute the first feature module 501 in response to detecting an interactive operation input of a trainer or after the first time period expires; a second feature module 502, configured to randomly select second feature information from a second feature information group and keep displaying it in a second area of ​​the display interface within the first time period, and re-execute the second feature module 502 in response to detecting an interactive operation input or after the first time period expires; a first graphic module 503, configured to randomly select a first graphic from a graphic training group corresponding to the first feature information group shape and keeps displaying near the first characteristic information within a second time period, and in response to interactive operation input or expiration of the second time period, re-execute the first graphic module 503, and the duration of the second time period is not greater than the duration of the first time period; the second graphic module 504 is configured to randomly select a second graphic from the graphic training group corresponding to the second characteristic information group and keep displaying near the second characteristic information within the second time period, and in response to interactive operation input or expiration of the second time period, re-execute the second graphic module 504; the average reaction time module 505 is configured to summarize the trainer's interactive operation information and calculate the trainer's average reaction time in response to the sum of the presentation times of the first characteristic information and the second characteristic information corresponding to the first area and the second area being equal to a set threshold.

[0082] In this embodiment, the average reaction time module 505 also includes displaying the selected graphic in the corresponding area and recording the corresponding characteristic information of the selected graphic. If the corresponding characteristic information is consistent with the currently displayed characteristic information, the time from the display of the selected graphic to the detection of the trainee's interactive operation input in the corresponding area is recorded as the reaction time. During the execution process, the reaction time of the trainee for each characteristic information is continuously recorded and accumulated to obtain the average value as the average reaction time, and the average reaction time is displayed in the display interface.

[0083] In this embodiment, a hierarchical graphic database is also constructed between the first feature module 501, the first graphic module 503, the second feature module 502, and the second graphic module 504, and primary, intermediate, and advanced graphic databases are classified based on the number of extracted graphic elements; a hierarchical feature information library is constructed, and feature information of one, two, and three graphic elements of the graphics in the primary, intermediate, and advanced graphic databases are extracted respectively, and corresponding primary, intermediate, and advanced feature information libraries are constructed; a graphic data group is constructed, and a fixed number of groupings are performed using the classified hierarchical graphic database and the corresponding feature information database to obtain a graphic data group, and the graphic data group includes a graphic training group and a feature information group, and the feature information in the feature information group corresponds one-to-one to the graphic feature elements in the graphic training group.

[0084] Reference below Figure 6 , which shows a schematic diagram of the structure of a computer system 600 suitable for implementing an electronic device of an embodiment of the present application. Figure 6 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0085] like Figure 6 As shown, the computer system 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage part 608 into a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the system 600 are also stored. The CPU 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0086] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a liquid crystal display (LCD), etc. and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage section 608 as needed.

[0087] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part 609, and / or installed from a removable medium 611. When the computer program is executed by a central processing unit (CPU) 601, the above-mentioned functions defined in the method of the present application are executed.

[0088] It should be noted that the computer-readable storage medium of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable storage medium other than a computer-readable storage medium that can send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0089] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the trainer computer, partially on the trainer computer, as a separate software package, partially on the trainer computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the trainer computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0090] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0091] The modules involved in the embodiments of the present application may be implemented by software or by hardware. The modules described may also be provided in a processor, for example, may be described as: a processor comprising a first feature module, a second feature module, a first graphics module, a second graphics module and an average reaction time module. Among them, the names of these modules do not constitute a limitation on the unit itself in certain cases, for example, the average reaction time module may also be described as "in response to the sum of the presentation times of the first feature information and the second feature information corresponding to the first area and the second area being equal to the set threshold, summarizing the interactive operation information of the trainer, and calculating the average reaction time of the trainer".

[0092] As another aspect, the present application further provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: randomly selects first feature information from the first feature information group and keeps displaying it in the first area of ​​the display interface within a first time period, and re-executes step A in response to detecting the interactive operation input of the trainer or the expiration of the first time period; randomly selects second feature information from the second feature information group and keeps displaying it in the second area of ​​the display interface within the first time period, and re-executes step B in response to detecting the interactive operation input or the expiration of the first time period; randomly selects a first graphic from the graphic training group corresponding to the first feature information group and keeps displaying it near the first feature information within a second time period, and re-executes step C in response to the interactive operation input or the expiration of the second time period, wherein the duration of the second time period is not greater than the duration of the first time period; randomly selects a second graphic from the graphic training group corresponding to the second feature information group and keeps displaying it near the second feature information within the second time period, and re-executes step D in response to the interactive operation input or the expiration of the second time period; and in response to the sum of the presentation times of the first feature information and the second feature information corresponding to the first area and the second area being equal to the set threshold, summarizes the interactive operation information of the trainer, and calculates the average reaction time of the trainer.

[0093] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above invention concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. Method for performing attention allocation training based on graphic changes, It is characterized in that The method comprises: A: randomly selecting first feature information from the first feature information group and displaying it in a first area of ​​the display interface within a first time period, and re-performing step A in response to detecting an interactive operation input of a trainer or after the first time period expires; B: randomly selecting second characteristic information from the second characteristic information group and displaying it in the second area of ​​the display interface within a first time period, and re-performing step B in response to detecting the interactive operation input or the first time period expiring; C: randomly selecting a first graphic from the graphic training group corresponding to the first feature information group and displaying it near the first feature information within a second time period, and re-performing step C in response to an interactive operation input or after the second time period expires, wherein the second time period is not longer than the first time period; The duration of the second time period is set to be 0.1-1.0 times the duration of the first time period; D: randomly selecting a second graphic from the graphic training group corresponding to the second feature information group and keeping it displayed near the second feature information within the second time period, and re-performing the step D in response to an interactive operation input or after the second time period expires; E: In response to the sum of the presentation times of the first feature information and the second feature information corresponding to the first area and the second area being equal to a set threshold, summarizing the interactive operation information of the trainer and calculating the average reaction time of the trainer; Constructing the first and second feature information groups comprises the following steps: Construct a hierarchical graphic database and classify it into primary, intermediate and advanced graphic databases based on the number of extracted graphic elements; Constructing a hierarchical feature information database, respectively extracting feature information of one, two and three graphic elements of the graphics in the primary, intermediate and advanced graphic databases, and constructing corresponding primary, intermediate and advanced feature information databases; Construct a graphic data group, use the classified hierarchical graphic database and the corresponding feature information database to perform a fixed number of groupings to obtain the graphic data group, the graphic data group includes a graphic training group and a feature information group, and the feature information in the feature information group corresponds one-to-one to the graphic feature elements in the graphic training group.

2. The method according to claim 1, It is characterized in that The method also includes the following steps: displaying a selected graphic in a corresponding area, and recording corresponding feature information of the selected graphic; if the corresponding feature information is consistent with the currently displayed feature information, then recording the time from the display of the selected graphic to the detection of the trainee's interactive operation input in the corresponding area as the reaction time.

3. The method according to claim 2, It is characterized in that The method further comprises the following steps: during the execution of the method, the reaction time of each characteristic information trainee is continuously recorded and accumulated to obtain the average value thereof as the average reaction time, and the average reaction time is displayed in the display interface.

4. The method according to claim 2, It is characterized in that In the case where the corresponding feature information is consistent with the currently displayed feature information, in response to capturing the information of the interactive operation input in the corresponding area, the current training test result is marked as correct, and the reaction time is recorded; If the currently displayed feature information is presented for more than the first time period, the current training result is marked as an error.

5. The method according to claim 2, It is characterized in that In the case where the corresponding feature information is inconsistent with the currently displayed feature information, in response to capturing the information of the interactive operation input in the corresponding area, the current training test result is marked as an error mark, and feature information is re-selected from the feature information group to be presented in the corresponding area.

6. A device for performing attention allocation training based on graphic changes, It is characterized in that The device comprises: A first feature module is configured to randomly select first feature information from a first feature information group and keep displaying it in a first area of ​​a display interface within a first time period, and re-execute the first feature module in response to detecting an interactive operation input of a trainer or after the first time period expires; A second feature module is configured to randomly select second feature information from the second feature information group and keep displaying it in the second area of ​​the display interface within a first time period, and re-execute the second feature module in response to detecting the interactive operation input or the first time period expiring; a first graphic module, configured to randomly select a first graphic from a graphic training group corresponding to the first feature information group and keep displaying it near the first feature information within a second time period, and re-execute the first graphic module in response to an interactive operation input or expiration of the second time period, wherein the second time period is not longer than the first time period; The duration of the second time period is set to be 0.1-1.0 times the duration of the first time period; A second graphic module, configured to randomly select a second graphic from a graphic training group corresponding to the second feature information group and keep displaying it near the second feature information within the second time period, and re-execute the second graphic module in response to an interactive operation input or after the second time period expires; an average reaction time module, configured to summarize the interactive operation information of the trainer and calculate the average reaction time of the trainer in response to the sum of the presentation times of the first characteristic information and the second characteristic information corresponding to the first area and the second area being equal to a set threshold; Constructing the first and second feature information groups comprises the following steps: Construct a hierarchical graphic database and classify it into primary, intermediate and advanced graphic databases based on the number of extracted graphic elements; Constructing a hierarchical feature information database, respectively extracting feature information of one, two and three graphic elements of the graphics in the primary, intermediate and advanced graphic databases, and constructing corresponding primary, intermediate and advanced feature information databases; Construct a graphic data group, use the classified hierarchical graphic database and the corresponding feature information database to perform a fixed number of groupings to obtain the graphic data group, the graphic data group includes a graphic training group and a feature information group, and the feature information in the feature information group corresponds one-to-one to the graphic feature elements in the graphic training group.

7. An electronic device, include: one or more processors; A storage device, used for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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