CN113208561A - Mental load evaluation system and method - Google Patents
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Abstract
Embodiments of the present application provide a mental load assessment system and method, the system including: the system comprises an operator information module, an evaluation content management module, a test module, an evaluation report output module and a data management module, wherein the operator information module can configure the role and the authority of a user according to the requirement, and the test module is configured with various subjective self-evaluations, various objective evaluation tasks and various custom templates, so that the evaluation content can be formed in a free combination mode. The method and the device can adapt to the structures of personnel in different operation fields, improve the user experience, and combine subjective self-assessment and objective assessment tasks, so that the mental load of the operators can be comprehensively assessed, the system and the method can be used as an important assessment index of the performance level of individual independent operation or team cooperation tasks, and the informatization and man-machine matching degree of a man-machine interaction interface can also be comprehensively reflected.
Description
Technical Field
The embodiment of the application relates to the technical field of man-machine interaction, human-system interaction and human-information interaction, in particular to a mental load assessment system and method.
Background
The development of human-computer interaction technology and system informatization, the human-computer interaction interface, the layout design of the system and the function iteration increasingly pay more attention to how to solve the problem of combination optimization so as to realize the optimal human-computer matching and finish the improvement of the performance capability of personnel and the guarantee of the reliability, safety and human-computer interaction efficiency of the system. In the process, the complexity of interaction between a person and a system and between the person and information is also a necessary challenge brought by the development of advanced technology, and whether the brain cognitive load is caused by an operator in task execution or not is a very important problem. And too high mental load can lead to the decline of various cognitive abilities such as attention, reaction ability, decision-making ability and the like of operators to a certain extent, and the too high mental load also becomes an important factor causing the unsafe of the operators while reducing the efficiency of human-computer interaction operation. At present, the mental evaluation system mainly has the problems of single evaluation mode, limited evaluation mode, lack of intuitive feedback and record of managers on evaluation results, poor structural organization flexibility of different operators and the like.
Disclosure of Invention
To solve at least the above problems in the background art, embodiments of the present application provide a mental load assessment system and method.
In a first aspect of the present application, there is provided a mental load assessment system comprising: the operator information module is used for importing, exporting or deleting the operator information in batches and configuring the authority of the operator; the system comprises an evaluation content management module, a user interface module and a user interface module, wherein the evaluation content management module is configured with various subjective evaluation contents, various measurement tasks and various user-defined templates and used for displaying the subjective evaluation contents, the measurement tasks and introduction contents corresponding to the user-defined templates; the test module is used for creating and issuing the evaluation contents according to the sequence of one or more subjective evaluation contents selected by the operator, one or more measurement tasks and/or one or more custom templates; the evaluation report output module is used for generating an independent evaluation report for each operator after the operator finishes the evaluation content; the evaluation result analysis module is used for analyzing the evaluation report; and the data management module is used for forming a dynamic norm according to the historical evaluation result and the newly added evaluation result.
According to the technical scheme, the operator information module can create related roles according to actual personnel architectures in different operation fields and set the authority of the roles, so that the operator information module can adapt to personnel structures in different operation fields, and the user experience is improved; a plurality of classical mental load subjective assessment tables, a plurality of mental load assessment tasks and a plurality of self-defined templates are configured in the testing module, so that the mental load levels in multiple aspects and multiple angles such as reflecting capacity, visual search capacity, time estimation capacity, cognitive capacity, working memory capacity and auditory memory capacity, mental demand, physical demand, time demand, effort degree, achievement level, frustration level and the like of operators can be assessed, subjective self assessment and objective assessment tasks are combined, and the mental load of the operators can be comprehensively assessed.
In a possible implementation manner, the subjective assessment content includes a plurality of classical mental load subjective assessment scales, and each classical mental load subjective assessment scale includes a background introduction, a guide, a topic, a scoring standard, and a research result obtained after a previous researcher uses a related scale.
In a possible implementation manner, the measurement task comprises a plurality of mental load assessment tasks, each mental load assessment task is formed by setting a fixed flow and common research variables as adjustable parameters in the system and adjusting the parameters according to the actual conditions of the measured operator.
In a possible implementation manner, the test module is further configured to configure parameters of the measurement task when creating the evaluation content.
In a possible implementation manner, the system further comprises an independent database corresponding to each main observation evaluation list and each mental load assessment task, wherein the database is used for storing the main observation evaluation list and the mental load assessment task after an operator finishes the assessment content; the data management module is specifically used for calling and fusing a historical main observation evaluation table and a newly stored subjective evaluation table from the database, calling and fusing a historical mental load evaluation task and a newly stored mental load evaluation task from the database, and respectively calculating an average value and a standard deviation to form a dynamic constant.
In a second aspect of the present application, there is provided a mental load assessment method comprising: importing operator information in batches and setting operator authority; selecting one or more subjective evaluation contents, and/or one or more measurement tasks, and/or one or more self-defined templates, and creating and distributing the evaluation contents according to the selection sequence; pushing the evaluation content to an operator in a webpage link mode at a specified time; and after the operators finish the evaluation content, generating an independent evaluation report and an independent analysis result for each operator.
According to the technical scheme, the related roles are created according to the actual personnel frameworks in different operation fields, and the authority of the roles is set, so that the method can adapt to the personnel structures in different operation fields, and the user experience is improved; the subjective evaluation of the brain load of the operator can be comprehensively evaluated by combining subjective self evaluation and objective evaluation tasks.
In a possible implementation manner, the subjective assessment content includes a plurality of classical mental load subjective assessment scales, and each classical mental load subjective assessment scale includes a background introduction, a guide, a topic, a scoring standard, and a research result obtained after a previous researcher uses a related scale.
In a possible implementation manner, the measurement task comprises a plurality of mental load assessment tasks, each mental load assessment task is formed by setting a fixed flow and common research variables as adjustable parameters in the system and adjusting the parameters according to the actual conditions of the measured operator.
In a possible implementation manner, the creating and issuing evaluation content according to the selection order further includes: and configuring parameters of the measurement task when the evaluation content is created.
In a possible implementation manner, after the operator completes the evaluation content and generates an independent evaluation report and analysis result for each operator, the method further includes: independently storing each main observation evaluation list and each mental load evaluation task; calling a historical subjective evaluation scale and a newly added subjective evaluation scale, fusing the historical subjective evaluation scale and the newly added subjective evaluation scale, calling a historical mental load evaluation task and a newly added mental load evaluation task, and fusing the historical mental load evaluation task and the newly added mental load evaluation task; and respectively calculating the average value and the standard deviation of the fused subjective assessment scale and the mental load assessment task to form a dynamic norm.
It should be understood that what is described in this summary section is not intended to limit key or critical features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will become apparent from the following description.
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The above and other features, advantages and aspects of various embodiments of the present application will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
fig. 1 shows an architecture diagram of a mental load assessment system according to an embodiment of the present application.
Fig. 2 shows a flow chart of a mental load assessment method according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
Mental load is a multi-dimensional concept that relates to work requirements, time stress, operator ability and effort, performance, and many other factors. At present, the mental load assessment method mainly has the following problems:
(1) the evaluation mode is single, for example, a computer system is used as a carrier for carrying out a unique test, and a manager sets a passing standard.
(2) The evaluation method is limited, for example, simple tasks are taken as evaluation contents, and the subjective feeling of the operator is not considered.
(3) The feedback and record of the evaluation result of the manager are lacked, for example, after the mental load level is measured, the mental load of the operator is at what level, the operation can be continued, and no corresponding overall planning is available.
(4) The structural organization flexibility for different operators is poor, for example, more systems only set up the role of the manager, neglect the difference in the structure of the operators with different roles, and the user experience is poor.
In order to solve the above problems, embodiments of the present application provide a mental load assessment system. As shown in fig. 1, the mental load system includes a system management module 110, an operator information module 120, an evaluation content management module 130, a test module 140, an evaluation report output module 150, an evaluation result analysis module 160, and a data management module 170.
The system management module 110 is used for a scheduling operator information module 120, an evaluation content management module 130, a test module 140, an evaluation report output module 150, an evaluation result analysis module 160, and a data management module 170.
The operator information module 120 is used for batch import, export or delete of operator information, and configuration of operator rights. In the embodiment of the present application, the worker information may include, for example, personal information of a worker, and the worker authority may include, for example, a role name and related authority. The authority of the operator is described below by taking mental load assessment of the pilot as an example, and the role name and the related authority of the operator can be set by the operator information module 120 when the mental load assessment of the pilot is performed.
Specifically, the following settings may be made by the job information management module 120:
role 1: name-pilot, authority-user information, protocol assessment and test results.
And (4) role 2: name-supervisor, authority-subject management, protocol management, report management, behavioral testing, questionnaire/scale management, data management, and database management.
In the embodiment of the present application, the roles are only exemplary, and a specific setting manner may be to create related roles according to actual staff architectures in different work fields and set permissions of the roles, so that the method and the device can adapt to staff structures in different work fields, and improve user experience.
The evaluation content management module 130 is configured with a plurality of subjective evaluation contents, a plurality of measurement tasks, and a plurality of customized templates, and is configured to display the subjective evaluation contents, the measurement tasks, and corresponding introduction contents of the customized templates.
In the embodiment of the application, the subjective evaluation content comprises a plurality of classical mental load subjective evaluation scales, and each classical mental load subjective evaluation scale comprises background introduction, guide words, questions, a scoring standard and research results obtained after related scales are used by previous researchers. Illustratively, the subjective rating scale may include, for example, a NASA-TLX scale, a CH scale, and other subjective rating scales.
Furthermore, the measurement task comprises a plurality of mental load assessment tasks, and each mental load assessment task is formed by setting a fixed flow and common research variables as adjustable parameters in the system and adjusting the parameters according to the actual conditions of the measured operators.
In the embodiment of the application, the common research direction in the measurement task can be set by configuring adjustable parameters. For example, a common research direction can be parameterized, the research direction of the measurement task can be changed by adjusting corresponding parameters, further, the range of the adjusted parameters can be set, and the corresponding parameters can be adjusted within a certain parameter range to change the research direction of the measurement task, so that an experiment which is suitable for the level of an operator can be formed, and further, the floor effect and the ceiling effect can be avoided.
The test module 140 is used for creating and issuing the evaluation content according to the sequence of one or more subjective evaluation contents selected by the operator, and/or one or more measurement tasks, and/or one or more custom templates.
In the embodiment of the application, the operator can select the number and the sequence of the classical mental load subjective assessment tables in the subjective assessment contents, the number and the sequence of the mental load assessment tasks in the measurement tasks and the number and the sequence of the user-defined templates according to actual needs, and create and distribute the assessment contents according to the selected sequence.
The release of the evaluation content can be delivered to the mailbox, WeChat or QQ of the tested person in the form of a webpage link. The test module 140 is further configured to configure parameters of the measurement task when creating the evaluation content, so as to change a research direction of the measurement task, thereby forming an experiment adapted to a level of an operator, and avoiding a floor effect and a ceiling effect.
The evaluation report output module 150 is configured to generate an independent evaluation report for each operator after the operator completes the evaluation content. After the tested person opens the test link and finishes the evaluation content, an evaluation report is generated based on the evaluation result of the tested person.
The evaluation result analysis module 160 is used for analyzing the evaluation report.
The data management module 170 is configured to form a dynamic norm according to the historical evaluation result and the newly added evaluation result.
In the embodiment of the application, each subjective assessment scale and each mental load assessment task correspond to an independent database, and the databases are used for storing the main observation assessment scale and the mental load assessment task after the operators finish the assessment content.
The data management module 170 is specifically configured to retrieve and merge a historical main observation evaluation table and a newly stored subjective evaluation table from the database, retrieve and merge a historical mental load evaluation task and a newly stored mental load evaluation task from the database, and respectively calculate an average value and a standard deviation to form a dynamic norm.
In the embodiment of the application, a plurality of classical mental load subjective assessment tables, a plurality of mental load assessment tasks and a plurality of self-defined templates are configured in the test module, so that the mental load levels of multiple aspects and multiple angles such as the reflecting capacity, the visual search capacity, the time estimation capacity, the cognitive capacity, the working memory capacity and the auditory memory capacity, the psychological demand, the physical demand, the time demand, the effort degree, the performance level, the frustration level and the like of an operator can be assessed, the subjective self assessment and the objective assessment tasks are combined, and the mental load of the operator can be comprehensively assessed.
The technical solution of the embodiment of the present application is further explained below by an example of evaluating the mental load level of a pilot.
Management this sets the role name and associated permissions in the worker information module 120. Role 1: name-pilot, authority-user information, protocol assessment and test results. And (4) role 2: name-supervisor, authority-subject management, protocol management, report management, behavioral testing, questionnaire/scale management, data management, and database management.
The supervisor adds the protocol in the test module 140, enters the protocol name, the study direction, the content of the test, and the person under test. The test contents comprise subjective evaluation scales (10 subjective evaluation scales such as a NASA-TLX scale, a CH scale and the like) and objective tasks (10 objective tasks such as an object selection experiment, a multi-target tracking task and the like).
The parameter configuration of the objective task is adjusted in the test module 140. The system is parameterized according to the common research direction of each measurement task, and a user can freely set in an adjusting range to form an experiment which is suitable for the level of an operator, so that the floor effect and the ceiling effect are effectively avoided.
And selecting timing distribution. Test module 140 may deliver the test content to the person under test's mailbox, WeChat, or QQ at the designated time.
The pilot receives the protocol and then tests. The pilot can receive the evaluation scheme through the computer PC or the mobile terminal platform, can test by clicking, and can automatically generate an instant test report after the test is finished. The test report includes: personal information of the pilot, test content parameters, the test result of the time, the test results of the previous times, the normal level of the test and the estimated operation time. The test report can be presented in the form of a statistical table or a statistical graph, and can be directly stored or downloaded by original data.
And the administrator feeds back the test report. And receiving the prompt of finishing the test by the pilot by the administrator, and feeding back the state of the pilot. The feedback specifically includes whether the pilot is allowed to continue working or schedule other personnel to work instead. The pilot receives the feedback result and executes the feedback result.
After the pilot logs in the own account, the pilot can see the participated evaluation, test report, corresponding feedback and execution result, and can permanently store and check related data.
The foregoing is a description of system embodiments, and the following is a further description of the embodiments described herein, by way of example of methods.
Referring to fig. 2, the mental load assessment method includes the following steps:
and step 210, importing the operator information in batch and setting the operator authority.
Step 220, selecting one or more subjective evaluation contents, and/or one or more measurement tasks, and/or one or more custom templates, and creating and distributing the evaluation contents according to the selection sequence.
And step 230, pushing the evaluation content to an operator in a webpage link mode at a specified time.
And 240, completing the evaluation content of the operators, and generating independent evaluation reports and analysis results for each operator.
In some embodiments, the subjective assessment content comprises a plurality of classical mental load subjective assessment scales, each of which comprises a background introduction, a guide, a title, a scoring standard, and a previous research result obtained after the relevant scales are used by a researcher.
In some embodiments, the measurement task comprises a plurality of mental load assessment tasks, and each mental load assessment task is formed by setting a fixed flow, common research variables as adjustable parameters and adjusting the parameters according to the actual conditions of the measured operator in the system.
In some embodiments, step 220 specifically includes:
in creating the evaluation content, parameters of the measurement task are configured.
In some embodiments, after step 240, the method further comprises the steps of:
independently storing each subjective assessment scale and each mental load assessment task;
calling a historical subjective evaluation scale and a newly added subjective evaluation scale, fusing the historical subjective evaluation scale and the newly added subjective evaluation scale, calling a historical mental load evaluation task and a newly added mental load evaluation task, and fusing the historical mental load evaluation task and the newly added mental load evaluation task;
and respectively calculating the average value and the standard deviation of the fused subjective assessment scale and the mental load assessment task to form a dynamic norm.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the described method may refer to the corresponding process in the foregoing system embodiment, and is not described herein again.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application referred to in the present application is not limited to the embodiments with a particular combination of the above-mentioned features, but also encompasses other embodiments with any combination of the above-mentioned features or their equivalents without departing from the spirit of the application. For example, the above features may be replaced with (but not limited to) features having similar functions as those described in this application.
Claims (10)
1. A mental load assessment system, comprising:
the operator information module is used for importing, exporting or deleting the operator information in batches and configuring the authority of the operator;
the system comprises an evaluation content management module, a user interface module and a user interface module, wherein the evaluation content management module is configured with various subjective evaluation contents, various measurement tasks and various user-defined templates and used for displaying the subjective evaluation contents, the measurement tasks and introduction contents corresponding to the user-defined templates;
the test module is used for creating and issuing the evaluation contents according to the sequence of one or more subjective evaluation contents selected by the operator, one or more measurement tasks and/or one or more custom templates;
the evaluation report output module is used for generating an independent evaluation report for each operator after the operator finishes the evaluation content;
the evaluation result analysis module is used for analyzing the evaluation report;
and the data management module is used for forming a dynamic norm according to the historical evaluation result and the newly added evaluation result.
2. The system of claim 1, wherein the subjective assessment content comprises a plurality of classical mental load subjective assessment scales, each classical mental load subjective assessment scale comprising a background introduction, a guide, a title, a scoring criteria, and previous research results obtained by researchers using the relevant scales.
3. The system according to claim 2, wherein the measurement tasks comprise a plurality of mental load assessment tasks, and each mental load assessment task is formed by setting a fixed flow and common research variables as adjustable parameters in the system and adjusting the parameters according to the actual conditions of the operator to be measured.
4. The system of claim 3, wherein the testing module is further configured to configure parameters of the measurement task when creating the assessment content.
5. The system according to claim 3, further comprising an independent database corresponding to each of the primary observation scale and each of the mental load assessment tasks, wherein the database is used for storing the primary observation scale and the mental load assessment tasks after an operator completes the assessment content; the data management module is specifically used for calling and fusing a historical main observation evaluation table and a newly stored subjective evaluation table from the database, calling and fusing a historical mental load evaluation task and a newly stored mental load evaluation task from the database, and respectively calculating an average value and a standard deviation to form a dynamic constant.
6. A mental load assessment method, comprising:
importing operator information in batches and setting operator authority;
selecting one or more subjective evaluation contents, and/or one or more measurement tasks, and/or one or more self-defined templates, and creating and distributing the evaluation contents according to the selection sequence;
pushing the evaluation content to an operator in a webpage link mode at a specified time;
and after the operators finish the evaluation content, generating an independent evaluation report and an independent analysis result for each operator.
7. The method of claim 6, wherein the subjective assessment content comprises a plurality of classical mental load subjective assessment scales, each classical mental load subjective assessment scale comprising a background introduction, a guide, a title, a scoring criterion, and previous research results obtained by researchers using related scales.
8. The method according to claim 7, wherein the measurement tasks comprise a plurality of mental load assessment tasks, and each mental load assessment task is formed by setting a fixed flow and common research variables as adjustable parameters in the system and adjusting the parameters according to the actual conditions of the operator to be measured.
9. The method of claim 8, wherein creating and distributing the evaluation content in the selected order further comprises:
and configuring parameters of the measurement task when the evaluation content is created.
10. The method according to claim 8, further comprising, after the operator completes the evaluation content and generates an independent evaluation report and analysis result for each operator:
independently storing each main observation evaluation list and each mental load evaluation task;
calling a historical subjective evaluation scale and a newly added subjective evaluation scale, fusing the historical subjective evaluation scale and the newly added subjective evaluation scale, calling a historical mental load evaluation task and a newly added mental load evaluation task, and fusing the historical mental load evaluation task and the newly added mental load evaluation task;
and respectively calculating the average value and the standard deviation of the fused subjective assessment scale and the mental load assessment task to form a dynamic norm.
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