CN115862815B - Man-machine efficiency testing and training method, system, equipment and readable storage medium - Google Patents
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Abstract
The application relates to a man-machine efficiency test and training method, a system, equipment and a readable storage medium, wherein the method comprises the following steps: acquiring front test information, wherein the front test information comprises at least one front test item and parameters of each front test item; presenting the testing content of at least one front testing item according to the parameters of the front testing item, and acquiring a front testing result of a tested person based on the testing content of the at least one front testing item; determining recommended training information according to the front measurement result, wherein the recommended training information comprises at least one recommended training item and parameters of each recommended training item; and presenting training contents of at least one recommended training item according to the parameters of the recommended training item, and acquiring training results of the training of the testee based on the training contents of the at least one recommended training item. The method has the effect of objectively and comprehensively providing the items suitable for training of the testee and pertinently improving the psychological ability of the personnel.
Description
Technical Field
The present disclosure relates to the field of ergonomic engineering, and in particular, to a method, system, apparatus, and readable storage medium for ergonomic testing and training.
Background
The artificial efficiency test and training is to use a man-machine environment system as a research object, connect the mutual relation, coordination and humanization among people, objects and environments, design various tools, machines, equipment, operation methods and working conditions thereof and the like according to the physical, physiological and psychological requirements of people and other objective factors such as environment and safety, test the capability of the people in various dimensions such as visual capability, auditory capability, memory cognition capability, compression resistance capability, mental load, emotion capability, attention capability and the like, and adapt to the physiological and psychological characteristics of the people through proper training so as to achieve the optimal degree.
At present, after the test is finished, the testee or the testee manually selects training items and parameters according to the test result of the testee, so that the testee continues training according to the selected training items and parameters, and the human-machine efficiency of the specific dimension is improved.
However, the training items and parameters are set manually, the subjective intention is strong, and the items suitable for the training of the testee cannot be provided objectively and comprehensively, so that certain training items which really act are not selected, and further the testing and training effects of the whole human-machine efficiency are affected.
Disclosure of Invention
In order to objectively and comprehensively provide a subject with a project suitable for training thereof, the application provides an ergonomic testing and training method, system, device and readable storage medium.
In a first aspect, the present application provides a method for testing and training human-machine efficiency, which adopts the following technical scheme:
a ergonomic testing and training method comprising:
acquiring front test information, wherein the front test information comprises at least one front test item and parameters of each front test item;
presenting the testing content of the at least one preceding item according to the parameters of the preceding item, and acquiring a preceding testing result of a tested person based on the testing content of the at least one preceding item;
determining recommended training information according to the front test result, wherein the recommended training information comprises at least one recommended training item and parameters of each recommended training item;
and presenting the training content of the at least one recommended training item according to the parameters of the recommended training item, and acquiring a training result of the training of the testee based on the training content of the at least one recommended training item.
Optionally, the determining recommended training information according to the pre-measurement result includes:
Acquiring dimension labels corresponding to each front test item;
selecting experimental items except the previous test item from the acquired dimension labels as a first training item;
obtaining the score of each front test item and a normal mode;
calculating a standard score of each preceding test item based on the score of each preceding test item and a normal mode respectively, and determining a test grade of each preceding test item based on the standard score of each preceding test item;
acquiring an experimental item corresponding to the grade label matched with the test grade as a second training item;
and acquiring an intersection of the first training item and the second training item to obtain the recommended training item.
Optionally, the obtaining the score of each preceding item includes:
acquiring at least one test data of each previous test item;
calculating a scoring value of each test data;
and calculating the score of each previous test item based on the score value of each test data and the corresponding weight.
Optionally, the parameters of each experimental project include a difficulty level parameter;
the experimental project is one of the front test project, the rear test project and the recommended training project;
The difficulty level parameters are used for representing experiment difficulty, and different experiment difficulty corresponds to different difficulty level parameters;
each experimental project corresponds to an experimental difficulty range containing different experimental difficulties;
each experimental project comprises a plurality of sub-experimental projects, and the sub-experimental projects are in one-to-one correspondence with a plurality of experimental difficulties.
Optionally, after the obtaining the training result of the training of the subject based on the training content of the at least one recommended training item, the method further includes:
determining post-measurement information based on the pre-measurement information, wherein the post-measurement information comprises at least one post-measurement item and parameters of each post-measurement item;
and presenting the test content of the at least one post-test item according to the parameters of the post-test item, and acquiring a post-test result of the testee based on the test content of the at least one post-test item.
Optionally, the parameters of each experimental project further comprise stimulus-related parameters and experiment-related parameters;
the front test item and the rear test item are the same experimental item;
for the same pre-measurement item and post-measurement item, the experimental difficulty range of the post-measurement item is larger than that of the pre-measurement item, and the stimulus-related parameters and the experimental-related parameters of the post-measurement item and the pre-measurement item are the same;
Wherein the stimulus-related parameter is used to influence the presentation effect of the stimulus material;
the experimental related parameters are used for influencing the experimental process and the experimental result output.
Optionally, the presentation of the experimental content of the experimental project includes the following steps:
grouping all sub-experiment items based on experiment difficulty, and generating a plurality of experiment groups, wherein each experiment group comprises at least one sub-experiment item, and the experiment groups are in one-to-one correspondence with the experiment difficulty;
and sequentially presenting the experimental contents of the plurality of experimental groups according to the sequence of the experimental difficulty from low to high.
Optionally, when the experimental project is a pre-measurement project or a post-measurement project, presenting the experimental contents of the plurality of experimental groups sequentially according to the order of the experimental difficulty from low to high includes:
for any experimental group, taking the any experimental group as a current experimental group, and acquiring the achievement of the current experimental group after the experimental contents of all sub-experimental items of the current experimental group are presented according to a preset sequence;
judging whether the score of the current experiment group is positioned in a preset interval or not;
if yes, presenting the experimental content of the next experimental group until the last experimental group;
If not, stopping the test; and/or the number of the groups of groups,
when the experiment items are recommended training items, presenting the experiment contents of the plurality of experiment groups in sequence according to the order of the experiment difficulty from low to high comprises:
for any experimental group, taking the any experimental group as a current experimental group, and acquiring the achievement of the current experimental group after the experimental contents of all sub-experimental items of the current experimental group are presented according to a preset sequence;
judging whether the score of the current experiment group is positioned in a preset interval or not;
if yes, presenting the experimental content of the next experimental group until the last experimental group;
and if not, repeatedly presenting the experimental contents of the current experimental group or repeatedly presenting the experimental contents of the previous experimental group.
In a second aspect, the present application provides a ergonomic testing and training system, which adopts the following technical scheme:
an ergonomic testing and training system comprising:
the first acquisition module is used for acquiring front measurement information, wherein the front measurement information comprises at least one front measurement item and parameters of each front measurement item;
the front test module is used for presenting the test content of the at least one front test item according to the parameters of the front test item and acquiring a front test result of a tested person based on the test content of the at least one front test item;
The training recommendation module is used for determining recommended training information according to the front measurement result, wherein the recommended training information comprises at least one recommended training item and parameters of each recommended training item;
and the training module is used for presenting the training content of the at least one recommended training item according to the parameters of the recommended training item and acquiring the training result of the training of the testee based on the training content of the at least one recommended training item.
In a third aspect, the present application provides a computer device, which adopts the following technical scheme:
a computer device comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the ergonomic testing and training method of any of the first aspects.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium storing a computer program capable of being loaded by a processor and performing the ergonomic testing and training method of any of the first aspects.
Through adopting above-mentioned technical scheme, according to the preceding survey result, can be objectively, comprehensively with real training item recommendation to the testee that plays a role for the testee can train according to recommended item, and the targeted improvement personnel mental ability can promote the test of whole man-machine work efficiency and the effect of training effectively.
Drawings
Fig. 1 is a flow chart of an ergonomic testing and training method according to an embodiment of the present application.
Fig. 2 is a block diagram of an ergonomic testing and training system provided in an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a computer device 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 more clear, the technical solutions of 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.
The present embodiment provides a ergonomic testing and training method, as shown in fig. 1, the main flow of the method is described as follows (steps S101 to S104):
step S101, obtaining front test information, wherein the front test information comprises at least one front test item and parameters of each front test item;
in this embodiment, one or more pre-test items may be set for one pre-test. For example, for visual ability testing, it may include at least one of a pre-measured item of basic visual ability (including left and right eye visual ability, color perception ability, etc.) and advanced visual ability (including monocular cues, binocular cues, 2D size judgment, 3D depth perception, scene depth perception, dynamic depth perception, speed perception, etc.).
Each pre-test item has respective parameters, and the parameters generally comprise related parameters such as experiment operation, experiment stimulation, difficulty coefficient and the like.
For project parameter configuration, take the 3D dynamic depth perception capability test as an example:
driving environment: cities can be selected in a pull-down way;
air pollution index: 67, range 0-200;
visibility: 2km, ranging from 0km to 50km;
weather conditions: sunny, can pull down and select;
simulation time: 12, the range is 0-24;
driving speed: 80km/h, range 0-200;
interference: pedestrians, vehicles and traffic lights can be selected by pulling down;
interference color: yellow, pull-down selectable;
distance of interfering object: 0.1 and 0.2, the range is 0-50km;
and (3) moving keys: F. j, can be manually input;
statistical indexes: absolute error distance, relative error distance, average reaction time, accuracy, and accuracy.
In this embodiment, the administrator newly creates a local project or a cloud project, and obtains a pre-test project selected from a plurality of pre-set pre-test projects. And creating a parameter system, wherein a constructor can customize the content of the parameters and configure the parameters for the selected previous test item.
And issuing experiment notification to at least one testee in a mode of two-dimension codes or web page links and the like, and enabling the testee to enter front test in a mode of copying web page links to a browser, scanning the two-dimension codes or downloading login APP and the like. The testee inputs personal basic information such as name, age, gender and the like, wears physiological instruments, and enters a test page.
Before the test, the music for the testee is released, so that the testee is gradually in a relaxed state, and physiological data of the testee is recorded as baseline data in the relaxed state of the testee; wherein the physiological data includes at least one of heart rate data, blood pressure data, myoelectric data, electroencephalogram data, galvanic skin data, respiratory data, pupil data, and body temperature data. At least one physiological data selected by Shi Cezhe is acquired to test the subject, for example, if the physiological data selected by the subject is electroencephalogram data, then in a relaxed state of the subject, a baseline of the electroencephalogram of the subject is recorded, that is, baseline data of the subject is recorded.
Step S102, presenting the testing content of at least one preceding test item according to the parameters of the preceding test item, and obtaining the preceding test result of the testee based on the testing content of the at least one preceding test item;
in this embodiment, the subject is tested in advance, and the score of each front test item is obtained by testing the subject according to each front test item and the corresponding parameter.
Specifically, at least one test data of each previous test item is obtained, the test data is physiological data of a tested person collected in the process of the previous test item, the corresponding baseline data is subtracted from the physiological data after the test, and the grading value of each test data is calculated. And then, carrying out weighted calculation based on the grading value of each test data and the corresponding weight to obtain the grading value of each previous test item.
After the scores of all the pre-measured items are obtained, weighting calculation can be performed according to the weight of each pre-measured item and the score of each pre-measured item, so as to obtain the total score of the pre-measured test.
Taking the basic visual ability test as an example, the brightness difference threshold perception weight can be set to 0.2, the color difference threshold perception is set to 0.3, the visual acuity test weight is set to 0.3, the dark adaptation capability test weight is set to 0.2, and then the total test score of the basic visual ability=0.2×brightness difference threshold perception score+0.3×color difference threshold perception score+0.3 visual acuity score+0.2 dark adaptation capability score, and the obtained total test score of the basic visual ability can realize the comparison of the visual ability levels among different testees.
Further, the plurality of subjects may be ranked for ability based on the score of each pre-test item and/or the total score of the pre-test.
In the front test process, the testee can carry out a short rest in the front test project switching process, and the test is continued after the rest is finished until the test is finished.
After the front test is finished, a front test report is also provided, wherein the front test report comprises a subjective scale data result, a behavior experiment data result and physiological data, and the visual ability level of the testee can be reflected from multiple angles through multi-mode data analysis. The embodiment also supports the testee to input targeted comments, suggestions or suggestions on the front test report.
Further, the testee can select the front test items and the test sequence in the test scheme set by the testee before testing, and then conduct front test according to the test sequence.
Step S103, determining recommended training information according to the front measurement result, wherein the recommended training information comprises at least one recommended training item and parameters of each recommended training item;
as an optional implementation manner of the embodiment, when a local project or a cloud project is newly built by a constructor, dimension labels and grade labels are configured for each newly built experiment project, and recommended training projects are determined according to the dimension labels and grade labels of the previous survey project.
The dimension factor is the main factor that determines the training program. Taking the visual ability as an example, the visual ability has six dimension labels, namely visual acuity, color perception, distance perception, depth perception, track prejudgement and visual search, each dimension comprises 3-5 experimental items, such as the experimental items of motion tracking ability, multi-target tracking experiment, visual search performance ability, visual search comprehensive ability assessment and the like, in the visual search dimension, that is, the motion tracking ability test, the multi-target tracking experiment, the visual search performance ability and the visual search comprehensive ability assessment have the same dimension label-visual search.
The training items can be recommended according to the dimension and the grade characteristics analyzed by the front measurement result, and the training items are specifically as follows:
the method comprises the steps of firstly obtaining dimension labels corresponding to each previous measurement item, and then selecting experimental items except the previous measurement items from the obtained dimension labels to serve as first training items.
Assuming that the previous test item is A, B, the dimension labels of the previous test item A, B are a and b in order, and the dimension label a contains the experiment items A, C and D and the dimension label b contains the experiment items B, E and F, then the experiment item C, D, E, F is set as the first training item.
When the training items are recommended, the front test items are eliminated, so that the testee can be prevented from repeatedly practicing the front test items, obvious training effects are generated, the subsequent test results are obviously improved, and the training effects of the testee cannot be objectively evaluated.
The ranking factor determines the stimulation material of the experimental project and the project difficulty, the higher the ranking, the more difficult the experimental project.
In this embodiment, the parameters of the experimental project include difficulty level parameters, where the difficulty level parameters are used to characterize experimental difficulty, and different experimental difficulties correspond to different difficulty level parameters. For example, in the color perception experiment project, hue deviation, saturation deviation, brightness deviation and grid dimension are all the difficulty of distinguishing the testee, so that the parameters are regarded as difficulty level parameters, and different values of the parameters also represent different experiment difficulties.
When a local project or cloud project is newly built by a constructor, different grade labels are assigned to each experimental project, and the grade labels are used for representing the test grade of the experimental project. Shi Cezhe the experimental difficulty range corresponding to each grade label in an experimental project can be defined subjectively, and the grade labels of the experimental project can be set according to the QUEST step change method, which is not particularly limited in this embodiment.
For example, the experimental difficulty range 1 to 3 of the experimental project K may be defined as low level, the experimental difficulty range 3 to 5 as medium level, and the experimental difficulty range 5 to 8 as high level; thus, the experiment item K is divided into three different level-labeled experiment items K1 (high level), K2 (medium level), and K3 (low level).
After the front test item is finished, determining the test grade of the front test item, determining the grade label corresponding to the test grade, and searching all experimental items except the front test item for the experimental item with the grade label as a second training item.
In this alternative embodiment, the test grade of the preceding test item may be determined with reference to the following method: obtaining the score of each front test item and a normal mode; the standard score of each preceding item is calculated based on the score of each preceding item and the normal mode, and the test grade of each preceding item is determined based on the standard score of each preceding item.
The normal mode of the front test item is calculated from the test result of the standardized sample, and is generally the average number and standard deviation of the standardized sample, wherein the standardized sample refers to the sample of each test data of the front test item. The standard score of each previous test item can be obtained by calculating according to the score and the normal mode by using common standard score calculation methods such as Z score, T score and standard nine score.
The standard sub-range can be divided into a plurality of numerical ranges in advance, and each numerical range corresponds to a test grade. For example, the standard sub-range-3 to +3 is divided into three numerical ranges, wherein, -3 to-1 are low-level, -1 to +1 are medium-level, and +1 to +3 are high-level; if the standard of the previous test item G is divided into 2, the grade label corresponding to the test grade is high-grade, and the grade label of the test item K1 is also high-grade, so that the test item K1 is set as a second training item; of course, if the grade label of other experimental items is also advanced, the grade label is also set as the second training item.
According to the grade label, the training items which are equivalent to the prior testing items in difficulty are selected, so that the training of items which are not in line with the excessive low or excessive high difficulty of the testee can be reduced, and the testee can be helped to promote the training effect more quickly.
And finally, taking the intersection of the first training item and the second training item to obtain a recommended training item which meets the test dimension and the test grade.
For the parameters and training sequence of the recommended training items, the parameters and the testing sequence of the front test items have no guiding significance on the parameters and the training sequence of the recommended training items because the recommended training items are different from the front test items, and the testee or the tester can set the training parameters and the training sequence according to the self condition of the testee, so that the embodiment is not particularly limited.
Step S104, the training content of at least one recommended training item is presented according to the parameters of the recommended training item, and the training result of the training of the testee based on the training content of the at least one recommended training item is obtained.
In this embodiment, the testee may select the recommended training items directly, or may select the training items according to his own will. Each single training score is recorded, the training time is taken as a horizontal axis, the single training score is taken as a vertical axis, a training curve is formed, and a testee can see own progress effect through the training curve.
In this embodiment, the pre-test item, the recommended training item, and the post-test item are all from a plurality of local experimental items or cloud experimental items newly created by the constructor.
Each experimental project corresponds to an experimental difficulty range containing different experimental difficulties; each experiment item further comprises a plurality of sub-experiment items, and the sub-experiment items are in one-to-one correspondence with the experiment difficulties. For example, for the exercise tracking capability experiment item, the difficulty level parameter has the maximum tracking target number and interference target number, and the experiment difficulty range is 1-5, namely 5 experiment difficulties, namely 5 sub experiment items; the sub-experiment item 1 corresponds to experiment difficulty 1, the maximum tracking target number is 1, and the interference target number is 1; sub-experiment item 2 corresponds to experiment difficulty 2, the maximum tracking target number is 2, the interference target number is 2, … …, and so on, and the higher the experiment difficulty is, the greater the maximum tracking target number and the interference target number are.
In the process of presenting the experimental content of one experimental project, the experimental content is generally presented step by step, starting from the lowest experimental difficulty.
As an alternative implementation manner of this embodiment, in order to evaluate the training effect of the subject, after the training of the subject is finished, the subject needs to perform post-measurement, so as to evaluate the training effect according to the pre-measurement result and the post-measurement result. The method comprises the following steps:
Determining post-measurement information based on the pre-measurement information, wherein the post-measurement information comprises at least one post-measurement item and parameters of each post-measurement item; and then, presenting the test content of at least one post-test item according to the parameters of the post-test item, and acquiring a post-test result of the testee based on the test content of the at least one post-test item.
In this optional embodiment, in order to effectively evaluate the training effect of the testee, the post-test items are required to be the same as the pre-test items, that is, the pre-test items are A, B and C, and the post-test items are A, B and C. However, in order to provide enough training space for the subject, the experimental difficulty range of the post-test item needs to be enlarged, for example, 1.5 to 2 times the experimental difficulty range of the pre-test item.
Taking a motion tracking capability experimental project as an example, the experimental difficulty range of the front measurement stage is 1-5, the maximum tracking target number of a testee in the front measurement stage is 4, the interference target number is 4, and the experimental difficulty is 4. Regardless of the training effect of the testee, the experimental difficulty range of the post-test stage is changed to 1-8, and if all experimental difficulties of the exercise traceability experimental project are required to pass, the maximum traceability target number and the interference target number to be achieved are more than those of the pre-test stage, and the difficulty is increased.
In addition, the parameters of each experimental project also include stimulus-related parameters and experiment-related parameters. The stimulus-related parameters are used for influencing the presentation effect of the stimulus material, such as parameters of stimulus size, stimulus material content, stimulus color, stimulus position and the like; the experiment related parameters are used for influencing the experiment process and the experiment result output, such as parameters of preparation time, feedback time, maximum reaction time, statistical indexes, experiment methods, single-level test times and the like.
In order to effectively evaluate the training effect, for the same experimental project, the stimulus-related parameters and the experiment-related parameters of the post-test project and the pre-test project are the same.
In some embodiments, for presentation of experimental content of an experimental project, the preceding and following projects are identical, in particular as follows:
all sub-experiment items are grouped based on experiment difficulty, and a plurality of experiment groups are generated, wherein each experiment group comprises at least one sub-experiment item, and the experiment groups are in one-to-one correspondence with the experiment difficulty.
For example, the experimental difficulty of the experimental item M ranges from 1 to 5, and the experimental difficulty of the sub-experimental items M1, M2, M3, M4, M5 is 1, 2, 3, 4, and 5 in order; the experimental difficulty range of the experimental item N is 1-4, and the experimental difficulty of the sub-experimental items N1, N2, N3 and N4 are 1, 2, 3 and 4 in sequence; sub-experiment items belonging to the same experiment difficulty in the experiment items M and N are divided into a group, namely sub-experiment item M1 and sub-experiment item N1 are an experiment group, sub-experiment item M2 and sub-experiment item N2 are an experiment group, sub-experiment item M3 and sub-experiment item N3 are an experiment group, sub-experiment item M4 and sub-experiment item N4 are an experiment group, and sub-experiment item M5 is an experiment group.
And then sequentially presenting the experimental contents of a plurality of experimental groups according to the sequence of the experimental difficulty from low to high. Specifically, for any experimental group, taking any experimental group as a current experimental group, and acquiring the achievement of the current experimental group after the experimental contents of all sub-experimental items of the current experimental group are presented according to a preset sequence; judging whether the score of the current experiment group is positioned in a preset interval or not; if yes, presenting the experimental content of the next experimental group until the last experimental group; if not, stopping the test, and not presenting the experimental content of the next experimental group.
The achievement of the current experiment group is obtained by weighting the achievement of all sub-experiment items in the experiment group.
And for the recommended training item, the presentation of experimental contents is similar to that of the front test item and the rear test item, and the difference is that: and if the performance of the current experiment group is not in the preset interval, repeatedly presenting the experiment contents of the current experiment group or repeatedly presenting the experiment contents of the previous experiment group.
If the performance of the current experimental group does not reach the standard, retraining is needed to strengthen the training effect until the training of the experimental content of the last experimental group is completed. Of course, if the preset training period is reached, the training is stopped even if the training of all recommended training items is not completed.
In this embodiment, the calculation method of the score of each post-test item is the same as that of the pre-test item, and the calculation method of the total score of the post-test and the pre-test is the same, which is not repeated here.
When the post-measurement item and the pre-measurement item are the same experimental item, the scores of the post-measurement item and the pre-measurement item are the two different achievements of the same experimental item. And calculating a first difference value between the scores of the post-measurement item and the pre-measurement item, and analyzing whether the training effect of the experimental item is good, better or poor according to the first difference value.
And a second difference value between the total test scores of the rear test and the front test can be calculated, and whether the training effect of the whole training of the testee is excellent, good, better or poor is analyzed through the magnitude of the second difference value.
In this embodiment, both front test, training and rear test support one-to-one and one-to-many modes, meaning that the method supports both the test and training of only one subject and the test and training of multiple subjects simultaneously, is more convenient and can overcome the problem of distance. The presentation form at least comprises one of a mobile terminal 2D training mode, a mobile terminal 3D training mode, a computer terminal 2D training mode and a computer terminal 3D training mode, and the embodiment also provides a text, audio, video and 3D simulation environment regulation training mode.
The embodiment can realize multi-dimensional selection simulation reality environment so as to present experimental contents. This is explained below by taking the driver visual ability test as an example: at present, the vision ability test of testees is carried out in driving suitability, the test environment is single, the difference between the test environment and the driving environment is large, the training conditions of the testees are not provided, no later lifting and guiding are provided after the test, the application provides a plurality of test and training modes, in the test or training, scene parameters can be configured, the driving environment (city, village and town, plains, mountain roads and the like), the air pollution index, the weather condition and the driving time are set, the real environment is highly simulated, and more accurate vision ability data is obtained. All data in the testing and training processes can be recorded in a file, so that a testee can check historical testing results and the like at any time after testing or training.
In order to better implement the above method, the embodiment of the application also provides an ergonomic testing and training system, which can be integrated in a computer device, such as a terminal or a server, and the terminal can include, but is not limited to, a mobile phone, a tablet computer, a desktop computer, or the like.
Fig. 2 is a block diagram of a ergonomic testing and training system according to an embodiment of the present application, and as shown in fig. 2, the system mainly includes:
a first obtaining module 201, configured to obtain front measurement information, where the front measurement information includes at least one front measurement item and a parameter of each front measurement item;
a front test module 202, configured to present test contents of the at least one front test item according to parameters of the front test item, and obtain a front test result of a test subject based on the test contents of the at least one front test item;
the training recommendation module 203 is configured to determine recommended training information according to the front measurement result, where the recommended training information includes at least one recommended training item and parameters of each recommended training item;
the training module 204 is configured to present training content of the at least one recommended training item according to the parameters of the recommended training item, and obtain training results of the training of the subject based on the training content of the at least one recommended training item.
As an alternative implementation of this embodiment, the training recommendation module 203 includes:
the second acquisition module is used for acquiring dimension labels corresponding to each front measurement item;
The selection module is used for selecting experimental items except for the previous measurement items from the acquired dimension labels to serve as a first training item;
the third acquisition module is used for acquiring the score and the normal mode of each front measurement item;
the first determining module is used for respectively calculating the standard score of each front test item based on the score of each front test item and the normal mode, and determining the test grade of each front test item based on the standard score of each front test item;
the fourth acquisition module is used for acquiring an experimental item corresponding to the grade label matched with the test grade as a second training item;
and the intersection taking module is used for taking the intersection of the first training item and the second training item to obtain the recommended training item.
In this optional embodiment, further, a third obtaining module is specifically configured to obtain at least one test data of each previous test item; calculating a scoring value of each test data; a score for each prior test item is calculated based on the scoring value for each test data and the corresponding weights.
In this embodiment, the parameters of each experimental project include a difficulty level parameter; the experimental project is one of a front test project, a rear test project and a recommended training project; the difficulty level parameters are used for representing experiment difficulty, and different experiment difficulty corresponds to different difficulty level parameters; each experimental project corresponds to an experimental difficulty range containing different experimental difficulties; each experiment item comprises a plurality of sub-experiment items, and the sub-experiment items are in one-to-one correspondence with the experiment difficulties.
As an alternative implementation manner of the embodiment, as shown in fig. 2, the system further includes a post-measurement module 205, configured to determine post-measurement information based on pre-measurement information after obtaining a training result of the subject based on training content of at least one recommended training item, where the post-measurement information includes at least one post-measurement item and parameters of each post-measurement item; and presenting the test content of at least one post-test item according to the parameters of the post-test item, and acquiring a post-test result of the testee based on the test content of the at least one post-test item.
In this optional embodiment, further, the parameters of each experimental project further include a stimulus-related parameter and an experiment-related parameter; the front test item and the rear test item are the same experimental item; for the same pre-measurement item and post-measurement item, the experimental difficulty range of the post-measurement item is larger than that of the pre-measurement item, and the stimulus-related parameters and the experimental-related parameters of the post-measurement item and the pre-measurement item are the same; wherein the stimulus-related parameter is used to influence the presentation effect of the stimulus material; the experimental related parameters are used for influencing the experimental progress and the experimental result output.
Optionally, the front test module 202, the training module 204 and the rear test module 205 are similar to the urban and rural areas of the experimental content of the experimental project, and each include the following modules:
The grouping module is used for grouping all sub-experiment items based on experiment difficulty, and generating a plurality of experiment groups, wherein each experiment group comprises at least one sub-experiment item, and the experiment groups are in one-to-one correspondence with the experiment difficulty;
and the presentation module is used for presenting the experimental contents of a plurality of experimental groups in sequence according to the sequence of the experimental difficulty from low to high.
Further, for the front test module 202 and the rear test module 205, the presenting module is specifically configured to, for any experimental group, take any experimental group as a current experimental group, and obtain the performance of the current experimental group after the experimental contents of all sub-experimental items of the current experimental group are presented according to a preset sequence; judging whether the score of the current experiment group is positioned in a preset interval or not; if yes, presenting the experimental content of the next experimental group; if not, stopping the test.
For the training module 204, the presenting module is specifically configured to, for any experimental group, take any experimental group as a current experimental group, and obtain the performance of the current experimental group after the experimental contents of all sub-experimental items of the current experimental group are presented according to a preset sequence; judging whether the score of the current experiment group is positioned in a preset interval or not; if yes, presenting the experimental content of the next experimental group; if not, repeatedly presenting the experimental content of the current experimental group or repeatedly presenting the experimental content of the previous experimental group.
The various modifications and specific examples of the method provided in the foregoing embodiments are equally applicable to the ergonomic testing and training system of the present embodiment, and those skilled in the art will clearly know the implementation method of the ergonomic testing and training system of the present embodiment through the foregoing detailed description of the ergonomic testing and training method, which is not described in detail herein for brevity of description.
To better execute the program of the above method, the embodiment of the present application further provides a computer device, as shown in fig. 3, where the computer device 300 includes a memory 301 and a processor 302.
The computer device 300 may be implemented in a variety of forms including a cell phone, tablet computer, palmtop computer, notebook computer, desktop computer, and the like.
Wherein the memory 301 may be used to store instructions, programs, code sets, or instruction sets. The memory 301 may include a stored program area and a stored data area, where the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as obtaining a front measured result and a rear measured result, etc.), instructions for implementing the ergonomic testing and training method provided by the above embodiments, and so on; the data storage area may store data and the like involved in the ergonomic testing and training method provided in the above embodiment.
Processor 302 may include one or more processing cores. The processor 302 performs various functions and processes of the data of the present application by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 301, invoking data stored in the memory 301. The processor 302 may be at least one of an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing system (Digital Signal Processing Device, DSPD), a programmable logic system (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronics for implementing the functions of the processor 302 described above may be other for different devices, and embodiments of the present application are not specifically limited.
Embodiments of the present application provide a computer-readable storage medium, for example, comprising: a U-disk, a removable hard disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes. The computer readable storage medium stores a computer program that can be loaded by a processor and that performs the ergonomic testing and training methods of the above-described embodiments.
The specific embodiments are to be construed as merely illustrative, and not restrictive, of the application, and all such modifications to the embodiments may become apparent to those skilled in the art from a reading of the specification without undue contribution, provided that the scope of the claims is protected by the patent laws.
Claims (10)
1. A method of ergonomic testing and training comprising:
acquiring front test information, wherein the front test information comprises at least one front test item and parameters of each front test item;
presenting the testing content of the at least one preceding item according to the parameters of the preceding item, and acquiring a preceding testing result of a tested person based on the testing content of the at least one preceding item;
determining recommended training information according to the front test result, wherein the recommended training information comprises at least one recommended training item and parameters of each recommended training item;
presenting training content of the at least one recommended training item according to the parameters of the recommended training item, and acquiring training results of the training of the testee based on the training content of the at least one recommended training item;
The determining recommended training information according to the front test result comprises the following steps:
acquiring dimension labels corresponding to each front test item;
selecting experimental items except the previous test item from the acquired dimension labels as a first training item;
obtaining the score of each front test item and a normal mode;
calculating a standard score of each preceding test item based on the score of each preceding test item and a normal mode respectively, and determining a test grade of each preceding test item based on the standard score of each preceding test item;
acquiring an experimental item corresponding to the grade label matched with the test grade as a second training item;
and acquiring an intersection of the first training item and the second training item to obtain the recommended training item.
2. The method of claim 1, wherein said obtaining a score for each of said preceding items comprises:
acquiring at least one test data of each previous test item;
calculating a scoring value of each test data;
and calculating the score of each previous test item based on the score value of each test data and the corresponding weight.
3. The method of claim 1 or 2, wherein the parameters of each experimental item comprise a difficulty level parameter;
The experimental project is one of the front test project, the rear test project and the recommended training project;
the difficulty level parameters are used for representing experiment difficulty, and different experiment difficulty corresponds to different difficulty level parameters;
each experimental project corresponds to an experimental difficulty range containing different experimental difficulties;
each experimental project comprises a plurality of sub-experimental projects, and the sub-experimental projects are in one-to-one correspondence with a plurality of experimental difficulties.
4. A method according to claim 3, further comprising, after said obtaining training results of the training of the subject based on the training content of the at least one recommended training item:
determining post-measurement information based on the pre-measurement information, wherein the post-measurement information comprises at least one post-measurement item and parameters of each post-measurement item;
and presenting the test content of the at least one post-test item according to the parameters of the post-test item, and acquiring a post-test result of the testee based on the test content of the at least one post-test item.
5. The method of claim 4, wherein the parameters of each of the test items further comprise stimulus-related parameters and test-related parameters;
The front test item and the rear test item are the same experimental item;
for the same pre-measurement item and post-measurement item, the experimental difficulty range of the post-measurement item is larger than that of the pre-measurement item, and the stimulus-related parameters and the experimental-related parameters of the post-measurement item and the pre-measurement item are the same;
wherein the stimulus-related parameter is used to influence the presentation effect of the stimulus material;
the experimental related parameters are used for influencing the experimental process and the experimental result output.
6. Method according to claim 4 or 5, characterized in that the presentation of the experimental content of the experimental item comprises the following steps:
grouping all sub-experiment items based on experiment difficulty, and generating a plurality of experiment groups, wherein each experiment group comprises at least one sub-experiment item, and the experiment groups are in one-to-one correspondence with the experiment difficulty;
and sequentially presenting the experimental contents of the plurality of experimental groups according to the sequence of the experimental difficulty from low to high.
7. The method of claim 6, wherein when the experiment item is a pre-test item or a post-test item, presenting the experiment contents of the plurality of experiment groups sequentially in the order of low experiment difficulty comprises:
For any experimental group, taking the any experimental group as a current experimental group, and acquiring the achievement of the current experimental group after the experimental contents of all sub-experimental items of the current experimental group are presented according to a preset sequence;
judging whether the score of the current experiment group is positioned in a preset interval or not;
if yes, presenting the experimental content of the next experimental group until the last experimental group;
if not, stopping the test; and/or the number of the groups of groups,
when the experiment items are recommended training items, presenting the experiment contents of the plurality of experiment groups in sequence according to the order of the experiment difficulty from low to high comprises:
for any experimental group, taking the any experimental group as a current experimental group, and acquiring the achievement of the current experimental group after the experimental contents of all sub-experimental items of the current experimental group are presented according to a preset sequence;
judging whether the score of the current experiment group is positioned in a preset interval or not;
if yes, presenting the experimental content of the next experimental group until the last experimental group;
and if not, repeatedly presenting the experimental contents of the current experimental group or repeatedly presenting the experimental contents of the previous experimental group.
8. A man-machine efficiency test and training system is characterized by comprising,
the first acquisition module is used for acquiring front measurement information, wherein the front measurement information comprises at least one front measurement item and parameters of each front measurement item;
the front test module is used for presenting the test content of the at least one front test item according to the parameters of the front test item and acquiring a front test result of a tested person based on the test content of the at least one front test item;
the training recommendation module is used for determining recommended training information according to the front measurement result, wherein the recommended training information comprises at least one recommended training item and parameters of each recommended training item;
the training module is used for presenting training contents of the at least one recommended training item according to the parameters of the recommended training item and acquiring training results of the testee based on the training contents of the at least one recommended training item;
the training recommendation module comprises:
the second acquisition module is used for acquiring dimension labels corresponding to each front measurement item;
the selection module is used for selecting experimental items except the previous test item from the acquired dimension labels to serve as a first training item;
The third acquisition module is used for acquiring the score and the normal mode of each front measurement item;
the first determining module is used for respectively calculating the standard score of each front test item based on the score of each front test item and the normal mode, and determining the test grade of each front test item based on the standard score of each front test item;
the fourth acquisition module is used for acquiring an experimental item corresponding to the grade label matched with the test grade as a second training item;
and the intersection taking module is used for taking the intersection of the first training item and the second training item to obtain the recommended training item.
9. A computer device comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method according to any of claims 1 to 7.
10. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of claims 1 to 7.
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