CN114246589A - Memory cognitive ability evaluation method and system - Google Patents
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Abstract
The invention provides a memory cognitive ability evaluation method and a system, wherein the method comprises the following steps: carrying out memory cognition ability test on an operator according to the test content matched with the operator to obtain a test result of the operator; acquiring at least one physiological data of a Heart Rate Variability (HRV) index, an eye movement index or an electroencephalogram index of an operator in a test process, and determining a psychological load index of the operator based on the acquired physiological data; determining a theoretical memory level of the operator based on the test result of the operator and the psychological load index of the operator. The memory cognition ability evaluation method carries out comprehensive evaluation on operators, and the test result refers to the psychological load index of the operators obtained in the evaluation process, so that the test result is more accurate and has higher pertinence.
Description
Technical Field
The invention relates to the technical field of memory cognition ability evaluation, in particular to a memory cognition ability evaluation method and system.
Background
The memory is the reflection of past experience in human brain, is explained from the viewpoint of information processing, and is regarded as the process of encoding, storing and extracting input information under certain conditions. The memory cognitive ability is an important dimension for evaluating the intelligence of an individual, is an important expression of cognitive ability level and has important influence on the working process of an operator. The interaction interface of a modern man-machine system is complex and comprises a large amount of information processing components, if the memory cognitive ability of an operator is too low, the condition of memory load overload is easy to occur, and in the face of emergency, the information provided by a panel cannot be rapidly identified and correct response is made, so that the efficiency and the safety of the system are seriously threatened. One of the main causes of human error in human-computer interaction is overload memory load. Therefore, the measurement and training of the memory cognitive ability have practical significance for the screening, the professional evaluation, the human factor operation process and the like of special operators. The traditional memory cognitive ability evaluation method has two modes of direct measurement and indirect measurement. Direct measurement is the recall or recognition of sensed information, such as whether the just presented number was recalled; indirect measurement is the measurement of actual memory cognitive abilities by reducing individual cognitive load using stemming or perceptual recognition. In any measurement mode, the test content is simple, the actual states of the operators, such as the current state, psychological load, mental load degree and the like when the individuals participate in the evaluation, are ignored, and the physiological data are not brought into the evaluation standard to carry out more accurate memory cognitive ability measurement. At present, the memory evaluation system has the problems of single evaluation mode, neglect of individual difference, incapability of carrying out accurate evaluation analysis aiming at the memory characteristics of different operators, influence on actual test results and the like.
Disclosure of Invention
In view of the above, the present invention provides a memory cognitive ability evaluation method and system, so as to solve one or more problems in the prior art.
According to one aspect of the invention, the invention discloses a memory cognitive ability evaluation method, which comprises the following steps:
carrying out memory cognition ability test on an operator according to the test content matched with the operator to obtain a test result of the operator;
acquiring at least one physiological data of a Heart Rate Variability (HRV) index, an eye movement index or an electroencephalogram index of an operator in a test process, and determining a psychological load index of the operator based on the acquired physiological data;
determining a theoretical memory level of an operator based on the test result of the operator and a psychological load index of the operator.
In some embodiments of the invention, the method further comprises:
carrying out multiple interval tests on the memory retention of the operator according to the test content matched with the operator;
generating a forgetting curve based on each memory retention amount and the corresponding test time;
and determining a memory strategy and memory training content suitable for the operator according to the forgetting curve and the test result of the operator.
In some embodiments of the invention, the method further comprises: acquiring personal information of an operator; the personal information comprises age and occupation information;
and determining the test content matched with the operator according to the acquired personal information of the operator.
In some embodiments of the invention, the method further comprises:
respectively carrying out memory cognition ability test on each member according to the test content matched with each member in the plurality of members to obtain the test result of each member;
establishing a dynamic norm based on the test result of each member;
determining a norm level of an operator based on the dynamic norm and the test results of the operator.
In some embodiments of the invention, the test content is at least one of a visual memory, an auditory memory, a spatial memory, a contextual memory, and a semantic memory.
In some embodiments of the invention, the test results comprise: memory width, memory capacity and memory speed; or
Determining a psychological burden index of the operator based on the acquired physiological data, comprising:
inputting the acquired physiological data into a pre-training model, and determining the psychological load index of the operator based on the pre-training model.
In some embodiments of the present invention, the,
the HRV index comprises an average value AVNN of R-R intervals, an average heart rate AVHR, a standard deviation SDNN of R-R intervals, a root mean square RMSSD of difference values of two adjacent R-R intervals, and a percentage PNN50 of difference between two adjacent R-R intervals which is more than 50ms in all R-R intervals;
the eye movement indexes comprise fixation time, fixation times, saccade frequency, saccade speed, saccade amplitude and pupil diameter;
the electroencephalogram index comprises state-related brain wave complexity Cs.
In some embodiments of the invention, acquiring at least one physiological data of a human operator in a Heart Rate Variability (HRV) index, an eye movement index or an electroencephalogram index during a test, and determining a psychological burden index of the human operator based on the acquired physiological data comprises:
acquiring a PPG signal of an operator detected by a fingertip, bracelet or ear clip sensor;
determining the HRV index based on the acquired PPG signal.
In some embodiments of the invention, the method further comprises: and generating a test report comprising operator information, test results of the operator, psychological load index, norm level and theoretical memory level.
According to another aspect of the present invention, there is also disclosed a memory cognition ability evaluation system, the system comprising: a processor; and a memory on which a computer program is stored, wherein when the processor executes the computer program stored in the memory, the memory cognition ability evaluation system is used for realizing the memory cognition ability evaluation method according to any one of the embodiments.
According to the memory cognitive ability evaluation method and system provided by the embodiment of the invention, at least one physiological data of the HRV index, the eye movement index or the electroencephalogram index of the operator is obtained when the operator is evaluated, the psychological load index of the operator is obtained through the training model, and the theoretical memory level of the operator is determined based on the psychological load index of the operator. The assessment system realizes multi-mode data fusion by utilizing machine learning and related formulas of subjective questionnaires, behavior tests and various physiological data, can quickly and accurately capture the inherent internal structure and external relation in the multi-mode data, and assesses the memory cognitive ability of individuals. In addition, the evaluation method determines a proper memory strategy and training content for the operator based on the test result of the operator and the forgetting curve, so that the memory efficiency of the operator is improved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
It will be appreciated by those skilled in the art that the objects and advantages that can be achieved with the present invention are not limited to the specific details set forth above, and that these and other objects that can be achieved with the present invention will be more clearly understood from the detailed description that follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the invention. For purposes of illustrating and describing some portions of the present invention, corresponding parts of the drawings may be exaggerated, i.e., may be larger, relative to other components in an exemplary apparatus actually manufactured according to the present invention. In the drawings:
fig. 1 is a schematic flow chart illustrating a memory cognitive performance evaluation method according to an embodiment of the invention.
Fig. 2 is a schematic flow chart illustrating a memory cognitive ability evaluation method according to another embodiment of the present invention.
Fig. 3 is a flow chart illustrating multi-modal data integration of the memory cognition ability assessment method according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
It should be noted that, in order to avoid obscuring the present invention with unnecessary details, only the structures and/or processing steps closely related to the scheme according to the present invention are shown in the drawings, and other details not closely related to the present invention are omitted.
It should be emphasized that the term "comprises/comprising/comprises/having" when used herein, is taken to specify the presence of stated features, elements, steps or components, but does not preclude the presence or addition of one or more other features, elements, steps or components.
The prior art has the following defects when evaluating the memory cognitive ability: (1) the evaluation method is single. Generally, a single repetition training mode is used as a main mode, most of the main modes are testing the instantaneous memory capacity of a numerical or letter memory material by an operator, and the instantaneous memory capacity is not measured in all aspects aiming at different memory types, so that the individual memory characteristics cannot be analyzed in a targeted mode. (2) The evaluation result is also single. Specifically it does not take the late forgetfulness of the individual to the stimulus material as an assessment. (3) A test scheme of the system cannot be implemented. Most of the existing training means are scientific training mode and process-free, and have no systematic evaluation-training-evaluation-reporting mode; only basic training can be realized, and the overall logic is not existed. (4) Lacks scientific evaluation indexes. Only single operator is tested, and the actual memory characteristics cannot be highlighted by comparing the test result with the group; (5) the measurement results are not accurate enough. That is, a simple behavior experiment can only evaluate the memory level through the accuracy of different memory levels, and the subjective score and the physiological performance of the tested person are not fused. Aiming at the problems, the inventor carries out a large number of experiments, and the inventor finds that the memory cognitive ability of an individual is also related to forgetting characteristics and psychological load of the individual in the experimental process, so that the invention discloses a memory cognitive ability evaluation method and system, which make up for a plurality of defects of the existing memory evaluation method and system. Fig. 1 is a schematic flow chart of a memory cognition ability evaluation method according to an embodiment of the invention, as shown in fig. 1, the method includes steps S10-S30.
Step S10: and carrying out memory cognition ability test on the operator according to the test content matched with the operator to obtain the test result of the operator.
In this step, the types of the test contents are various, such as: visual memory, auditory memory, spatial memory, contextual memory, semantic memory, and the like. Wherein, the stimulation materials of different types of test contents are different; for example, the numbers/characters are mainly used for testing visual memory, the sounds are mainly used for testing auditory memory, the spatial positions are mainly used for testing visual spatial memory, the situation information can be used for testing situation memory, and the meaningful words are used for testing semantic memory. In a specific test, different testing dimensions can be selected for different operators, namely, the actual testing content can be different due to the age and occupation of the operators and the selected testing dimensions, but the difficulty of each testing content is almost the same. Illustratively, the operator is a nuclear power plant control room operator, the matched test content is spatial memory, and the stimulation material can be a machine button, that is, the operator is required to put the machine button back into the machine position as much as possible during the test. In addition, if the operator is a driver of the motor vehicle, the matched test content is visual memory, and the stimulation material can be a traffic indicator light, a passerby or other vehicles and the like.
As can be seen from the above, the test contents for the operator can be changed based on the age and occupation of the operator, so that the operator can perform information registration before the test. The information may include name, age, occupation, etc.; wherein the occupation is specially selected from no occupation, a driver, a staff, an athlete, a pilot and the like. And after the information registration of the operator, further determining the test content based on the selection of the operator, or determining the test content matched with the operator based on the acquired personal information of the operator. It should be understood that in the actual test, the test content may specifically be one or more of a visual memory, an auditory memory, a spatial memory, a contextual memory, and a semantic memory; illustratively, a combination of visual and auditory memory may be used as the stimulating material for the operator.
In addition, when the operator is subjected to specific memory tests, multi-dimensional tests can be performed, wherein the multi-dimensional tests can comprise memory capacity tests and memory effect tests. The memory capacity test is to test the instantaneous memory capacity of the operator by using a partial report method; but the memory capacity test has smaller difference among individuals, so the lifting space is small. The memory effect test can adopt a saving method to measure the time required by an operator to correctly recognize all memory contents; thereby helping to match the operator with a more appropriate memory strategy. The partial report method is a method of requiring the operator to report a part of the stimulus material seen, thereby determining the memory capacity of the operator. The saving method is one of the methods for measuring the retention in the memory research, specifically, the method is that firstly, an operator learns some materials to reach a certain memory standard (for example, just can recite without errors), and then the operator learns how many times or how much time is spent, and then the operator learns the materials again after a certain time interval, and also reaches the same memory standard to learn how many times or how much time is spent; the percentage of difference between the number of passes or time required for the first study and the number of passes or time required for the second study was used as an indicator of the retention.
The saving method needs the operator to learn for multiple times, so further, the method can also test the memory retention amount of the operator for multiple times at intervals according to the test content matched with the operator, and further generate the forgetting curve based on each memory retention amount and the corresponding test time. Wherein, the interval time in the multiple tests of the memory retention can be the same or different; for example, each interval may be 1 day, and 15 days as one test period. The memory forgetting curve is proposed by Ebinghaos, which represents the number of the forgetting materials of the individual in different time after the individual memorizes the materials and has important significance for later review; the evaluation method generates a personal specific forgetting curve aiming at the multiple measurement results of each person, so that different memory strategies and training contents can be determined in the subsequent steps based on different characteristics among individuals.
In another embodiment of the present invention, the test result may include a memory width value, a memory capacity, and a memory speed. The memory capacity is specifically used to reflect the number of correctly read memory materials, while the memory speed is specifically used to reflect the time taken to correctly read all memory materials. The memory breadth is the length of a stimulation series which can be correctly reproduced immediately after a series of stimulation is presented according to a fixed sequence, namely, the memory breadth is a simple and easy method for measuring the short-time memory cognitive ability. During specific testing, the difficulty progressive method can be adopted to test operators, namely the initial difficulty is obtained at the beginning of the experiment, and the operators enter high-difficulty testing after the accuracy of the operators reaches the qualified rate; specifically, for the memory extent, if the highest level accuracy of the memory of the operator is measured to reach 60% in the test process, the memory extent is a horizontal value; if the highest level accuracy of the operator memory is 40-60%, the memory width is-0.5; if the highest level accuracy of the operator memory is lower than 40%, the number of levels of the previous experiment can be used as the memory width in the test result.
Step S20: acquiring at least one physiological data of a Heart Rate Variability (HRV) index, an eye movement index or an electroencephalogram index of an operator in a test process, and determining a psychological load index of the operator based on the acquired physiological data.
The memory and cognitive abilities of an operator have a great close relationship with the psychological load presented by the operator in the memory process, so that in order to accurately determine the theoretical memory level of the operator in the subsequent steps, the Heart Rate Variability (HRV) analysis, the eye movement analysis or the electroencephalogram analysis of the operator is required in the test process, and the psychological load index of the operator is further determined based on physiological data. The mental load index may range illustratively from a number 1 to a number 10, where a larger number results in a higher mental load. The psychological load index range described above is only a specific example, and it is also possible to determine a more suitable index range according to the actual application.
Before acquiring the physiological indexes of an operator in the testing process, the specific type of the physiological indexes can be selected as required, and the selected physiological indexes can be one or more of Heart Rate Variability (HRV) indexes, eye movement indexes and electroencephalogram indexes. When acquiring the physiological data of the selected index, a fingertip sensor, a bracelet sensor, an ear clip sensor, an eye tracker or an electroencephalograph can be worn on the corresponding part of the body of the operator before the test, and in order to ensure the accuracy of the test result, before the actual test, whether the physiological signal and the sensor of the operator are normal or not needs to be detected.
For the memory cognitive ability evaluation method of the embodiment, the HRV index, the eye movement index and the electroencephalogram index are adopted to represent the psychological load of an operator in a memory task. Specifically, the heart rate variability analysis is a sensitive and noninvasive quantitative method for evaluating the function of the heart autonomic nervous system; i.e. a partial indicator of heart rate variability, can be used for quantitative assessment of the tone, balance of the sympathetic and vagal activity of the heart. According to nonlinear analysis of heart rate variability, the change trend of the complexity index of the heart rate variability can reflect the leading action of different nerves of an autonomic nervous system; the heart rate variability analysis is established on the basis of successive cardiac interval extraction, and the time domain analysis and the frequency domain analysis of the heart rate variability are simple in operation and widely used for measuring the mental load level or the psychological load. In addition, the time domain analysis of the heart rate variability mainly comprises the following steps of carrying out mathematical statistics operation on RR intervals, wherein specific heart rate variability indexes comprise an average value AVNN of the R-R intervals, an average heart rate AVHR, a standard deviation SDNN of the R-R intervals, a root mean square RMSSD of difference values of two adjacent R-R intervals, and a percentage PNN50 of the difference value of two adjacent R-R intervals accounting for the total R-R intervals, wherein the difference value of the two adjacent R-R intervals is more than 50 ms; the specific calculation method of each index is as follows:
NN (ms) is the value of the normal heartbeat R-R interval; i.e. NN ═ RRi(ii) a Wherein, RRiIs the interval value of the ith R-R. Avnn (ms) is the average value of all R-R intervals in a selected time, that is, the average cardiac interval of the electrocardiographic signal (average R-R interval value), and the specific calculation formula is:
where N is the total number of heartbeats in the time period to be analyzed and RR isiIs the magnitude of the ith R-R interval value. Avhr (ms) is the average heart rate value, which is calculated by the specific formula:
wherein f is sampling frequency, N is R wave number, namely total cardiac frequency in time period to be analyzed, and xi(i ═ 1, 2.., N) is the position of the ith wave. SDNN (ms) is the standard deviation of all R-R intervals in a period of time, and has a certain correlation with the activity of the autonomic nervous system, and the specific calculation formula is as follows:
wherein N is the total cardiac frequency in the time period to be analyzed,
as the mean value of RR intervals over the time to be analyzed, RRiIs the magnitude of the ith R-R interval value. RMSSD (ms) is the root mean square of the difference value of two adjacent R-R intervals, and can be used for representing the sudden change of the R-R intervals, and the specific calculation formula is as follows:
wherein, RRiIs the magnitude of the ith R-R interval value, and N is the total number of heartbeats in the time period to be analyzed. It should be appreciated that NN50 is selected such that the difference between adjacent normal R-R intervals is greater than 50msHeart beat number, which is commonly used to measure the heart rate regulation by vagal nerve tone; PNN50 is thus the percentage of the difference between two adjacent R-R intervals greater than 50ms over the total R-R intervals, and is calculated specifically as:
wherein num _ NN is the total number of NN (rr) intervals within the analysis time period.
The eye movement analysis is to analyze eye movement data of an operator in a test process, and specific eye movement indexes can reflect various indexes of eyeball change, wherein the eye movement indexes for researching psychological load can be divided into four types, namely a fixation index, a saccade index, a blink index and a pupil index. Wherein, the most effective psychological load measuring indexes are all the indexes of fixation time, fixation times, saccade frequency, saccade speed, saccade amplitude and pupil size.
The electroencephalogram analysis is to directly record the spontaneous electroencephalogram signals of an operator in the process of executing a memory task, then process and analyze the signals, and further evaluate the psychological load. When EEG signal is processed, the system divides EEG signal processing into 3 stages: the first stage is the preprocessing of the brain electrical signal, in order to remove the noise interference in the original brain electrical signal; the second stage is the extraction of the characteristics of the brain electrical signals. Extracting characteristic quantity from the preprocessed electroencephalogram signals to distinguish different electroencephalogram signals, and simultaneously realizing the dimension reduction and simplification of the calculation process of the signals; the third stage is to classify the extracted feature quantities. In specific analysis, the EEG signal is mainly subjected to time domain analysis and frequency domain analysis, and the time domain analysis mainly identifies the waveform by analyzing the geometric characteristics of the EEG waveform and common indexes such as amplitude, maximum peak value, median amplitude, standard deviation, variance, kurtosis and the like. And power spectrum estimation is an important algorithm in the frequency domain analysis of EEG signals. The Power spectrum of the EEG signal is a relation graph between the EEG Power and time, and the distribution of various rhythms (delta, theta, alpha, beta and the like) in the EEG signal can be directly observed from the graph, wherein the distribution comprises the Total energy value of each frequency band of Total Power, the percentage of the energy value of the wave band of Power Percent in the Total energy value of all the wave bands and the Average energy value of the wave band of Average Power. Meanwhile, the activation region and the activation degree of the brain region in different functional states can be accurately positioned through the brain topographic map.
The electroencephalogram phase mark comprises state-related brain wave complexity Cs, and the related indexes further comprise P300 and CNV associated Negative Variation (contextual Negative Variation). P300: in the Oddball paradigm, experiments have recorded that a positive wave, referred to as P300, is observed 300ms after the small probability of stimulus occurrence, this wave being highest near the Pz point. The research finds that the amplitude of the P300 is positively correlated with the amount of the input psychological resources, and the latency period of the P300 is prolonged along with the increase of the task difficulty. CNVs are considered to be primarily related to psychological factors such as expectations, motivations, orientation, arousals, attention, motivations, etc., and may be considered to be essentially a comprehensive psychotropic response, a response in tension or an emergency.
In this step, referring to fig. 3, a memory cognition ability test may be performed on a batch of operators, the psychological load degree of each operator in the immediately preceding test process is subjectively evaluated, and the physiological data and the subjective evaluation result in the test process are input into a model to perform model training to obtain a pre-training model; and then inputting the acquired physiological data of the operator into a pre-training model, and obtaining the real-time psychological load index of the operator according to the physiological data based on the trained model.
In the step, the physiological indexes measured by the physiological instrument evaluate the cognitive input of the operators in the test process in real time in consideration of the differences of psychological loads, cognitive consumptions and the like of different operators, so that the accuracy and pertinence of the evaluation result are ensured.
Step S30: determining a theoretical memory level of an operator based on a test result of the operator and a psychological load index of the operator.
In the step, the theoretical memory level refers to that an operator individual memorizes all parameters corresponding to all stimulation materials when the operator individual is full to use the maximum mental strength, and each parameter is the theoretical maximum value which can be reached by the individual in a memory test; for example, if the test result of the operator includes the memory capacity parameter, the theoretical memory level may also include the memory capacity of the individual operator when using the mental strength with full strength; and if the test result of the operator comprises the measured correct number of the memory, the theoretical memory level can also comprise the correct number of the memory of the individual operator when the individual operator is full to use the maximum mental strength. In addition, when the maximum psychological strength is used by the operator in full strength, the psychological load index is the maximum, and when the psychological load index is divided into ten grades, the maximum psychological load index value is 10. Illustratively, the theoretical memory level is calculated by the formula: theoretical memory level (actual measurement/psychological load index) maximum psychological load index; the specific calculation method of the theoretical correct number is that the ratio of the measured actual number to the actual psychological load index is calculated, and then the product of the ratio and the theoretical best effort index is calculated to obtain the theoretical memory level parameter; illustratively, when the mental load index is divided into 1 to 10, the maximum mental load index is 10.
In an embodiment of the present invention, after performing multiple forgetting tests on an operator according to test contents matched with the operator and generating a forgetting curve, the method may further determine a memory strategy and memory training contents suitable for the operator based on the test result of the operator and the forgetting curve. Illustratively, the saving method of Eingpunos can be adopted to carry out continuous measurement on an operator, and the forgetting curve takes interval time as an abscissa (day) and percentage of the saved time as an ordinate to draw the relationship between the elapsed time after initial learning and the memory retention; wherein the percentage of time saved is (initial time-review time)/initial time. The forgetting curve describes the forgetting characteristics of the operator; based on the forgetting curve and the test result of the operator, a memory strategy and training content suitable for the operator can be determined. In the embodiment, the matched memory strategy and training content are recommended for the self memory characteristics of the operator, so that the operator carries out memory training based on the memory strategy and training content recommended to the operator, and the self memory efficiency is improved.
In addition, before determining the memory strategy and the training content based on the test result and the forgetting curve of the operator, the system can be prestored with a plurality of memory strategies, and each memory strategy has an associated question bank. The memory strategy recommended to the operator comprises history, sources and theoretical bases of the corresponding memory strategy, and the determined training content matched with the operator can be pushed to the operator every day, so that the operator can train and memorize based on the pushed memory strategy and the training content.
In an embodiment of the present invention, the method for evaluating memory cognitive ability further includes the following steps: respectively carrying out memory cognition ability test on each member according to the test content matched with each member in the plurality of members to obtain the test result of each member; and establishing a dynamic norm based on the test result of each member.
Similarly, the types of test content are various, such as: visual memory, auditory memory, spatial memory, contextual memory, semantic memory, and the like. Different operators can select or be matched with different test contents in specific tests, namely the actual test contents can be different due to the ages and occupations of the operators, but the difficulty of each test content is almost the same. Before testing, further acquiring test contents corresponding to each member, and respectively testing the memory cognitive ability of each member according to the test contents matched with each member to obtain the test result of each member; and further establishing a dynamic norm based on the test results of the members. The test result of each member is similar to the test result of the operator, and the specific test result may also include a memory width value, the number of correctly-recorded memory materials, the time taken to correctly record all memory materials, and the like. In addition, in the actual test, the operator may also be one of the members for establishing the dynamic norm, and in this case, the test result of the operator obtained in step S10 may be used as the sample result for establishing the dynamic norm.
In this step, the plurality of members may be operators of different ages and professions, and the test contents of the members in the test group are different due to individual differences of the operators. Therefore, the method establishes a database aiming at different age stages, different stimulation materials and the like after a large number of members are tested, so as to form a unique dynamic norm.
Further, the method and the device also obtain the normal mode level of the operator based on the dynamic normal mode and the test result of the operator. Where a normative level is a scale that expresses the distance of the original score from the mean in standard deviation, its basic unit is standard deviation, and may also be referred to as a standard score. Because the absolute memory capacity value can not accurately express the memory capacity level, after the unique normal mode level is formed, the individual operator can obtain the standard score and the percentage exceeding the same test population based on the dynamic normal mode besides obtaining the absolute memory capacity and the memory effect after completing the test, so that the test result is more practical and visual. The standard score can be expressed by Z specifically, and the specific calculation formula is
Wherein X is the original score of the operator,
s is the mean score and standard deviation, respectively, of the participating test groups. In addition, after the standard score is obtained, the percentage corresponding to the standard score can be found according to the standard normal distribution curve chart of the dynamic normal mode, namely the percentage is the percentage exceeding the same test population.
In addition, after the method is adopted to complete the test of the operator, a test report comprising operator information, a test result of the operator, a psychological load index, a normal mode level and a theoretical memory level is further generated. The test report may be downloaded, printed. The operator information is automatically generated according to personal information filled by an operator, and comprises information such as name, age, occupation and the like. The test content may be specifically selected by the operator or may be matched based on specific information of the operator. The test result of the operator can comprise parameters such as the content of the stimulation material in a single test, the response made by the operator, the correctness of the response, the duration of the response and the like; in addition, the test result of the operator may also include the memory width, memory capacity, memory speed, etc. The psychological load index is specifically a result derived based on physiological data; the method integrates the machine learning content of the physiological indexes, comprises a large amount of databases, can present the mental load (namely the psychological load) level of an individual in real time according to physiological data, and can obtain the psychological load index of the individual after the experiment is finished, wherein the psychological load index can be divided into ten grades of 1 to 10.
In addition, the test report may also include report descriptions, parametric properties, and detailed trial results. The report description comprises comprehensive description of the memory of operators, basic introduction of measurement contents and test dimensions, experimental principles and the like. And for the parameter property, a difficulty progressive mode is specifically adopted for testing in the testing process, namely, the initial test is uniform primary difficulty, when the accuracy of an operator reaches a qualified level, a higher difficulty test is carried out, and partial content of the parameter property can display the parameter configuration of the highest difficulty level test.
To describe the memory cognition ability evaluation method in further detail according to an embodiment of the present invention, fig. 2 shows a flowchart of a memory cognition ability evaluation method according to another embodiment, and as shown in fig. 2, an operator first registers, where the registration information includes name, gender, age, occupation, and the like, and the occupation is specifically selectable from a plurality of information provided by the system. Further, a test dimension and a test content are selected, the test dimension comprises a memory capacity test and a memory effect test, and the test content comprises numbers, texts, pictures, spatial positions and the like. The operator in turn wears physiological instruments such as, for example, fingertips, hand rings, and ear clip sensors. After the physiological instrument is worn, the test is carried out, after the test is finished, the psychological load index of the operator is determined, and then the theoretical memory level of the operator under the maximum psychological load index is determined; and finally generating a test report. In addition, the method can be used for carrying out a plurality of tests on the operator, such as continuous measurement in units of days in fifteen days, so as to obtain fifteen test results; and further generating a special forgetting curve based on a plurality of test results. And after the exclusive forgetting curve of the operator is obtained, recommending a memory strategy and related training contents for the operator based on the test result of the operator and the exclusive forgetting curve.
The memory cognition ability evaluation method disclosed in the above embodiment can be exemplarily applied to the learning process. Particularly, for an operator, a control room worker, a driver, and the like, the operator needs to accurately recognize the current situation information, the text information fed back from the interface, the operation positions such as the buttons, and the like by means of strong memory cognitive ability and a proper memory strategy. Therefore, the method is adopted to carry out memory evaluation on the operators, can provide proper memory strategies for the operators on the premise of accurately evaluating the memory cognitive abilities of the operators, and further carry out memory improvement training on the operators.
In addition, the invention also provides a memory cognition ability evaluation system, which comprises a processor and a memory, wherein the memory is stored with a computer program, and when the processor executes the computer program stored in the memory, the memory cognition ability evaluation system is used for realizing the steps of the method in any one of the embodiments.
According to the embodiment, the memory cognitive ability evaluation method and the system disclosed by the invention realize multi-dimensional evaluation, namely, the system provides a memory effect test according to the memory characteristics except for the traditional memory capacity test; after the short-time learning, the just learned contents are tested, and the memory effect of the individual is evaluated through the accuracy. In addition, the system also realizes multi-content test, namely different stimulation materials are set for individuals of different ages; and the psychological load is measured and evaluated in combination with a physiological instrument, namely the psychological load of the individual in the test process is evaluated in real time according to the physiological indexes. The system can further realize a systematized corresponding training mode, namely the system can push a memory strategy and memory training contents suitable for an individual, so that the individual can be helped to better master the memory strategy, and a simple repeated method is omitted to realize flexible memory.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments and/or in combination with or instead of the features of the other embodiments in the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for assessing memory cognitive ability, the method comprising:
carrying out memory cognition ability test on an operator according to the test content matched with the operator to obtain a test result of the operator;
acquiring at least one physiological data of a Heart Rate Variability (HRV) index, an eye movement index or an electroencephalogram index of an operator in a test process, and determining a psychological load index of the operator based on the acquired physiological data;
determining a theoretical memory level of an operator based on the test result of the operator and a psychological load index of the operator.
2. The method for assessing memory cognitive ability according to claim 1, further comprising:
carrying out multiple interval tests on the memory retention of the operator according to the test content matched with the operator;
generating a forgetting curve based on each memory retention amount and the corresponding test time;
and determining a memory strategy and memory training content suitable for the operator according to the forgetting curve and the test result of the operator.
3. The method of assessing memory cognitive ability according to claim 2, further comprising: acquiring personal information of an operator; the personal information comprises age and occupation information;
and determining the test content matched with the operator according to the acquired personal information of the operator.
4. The method of assessing memory cognition according to claim 3, further comprising:
respectively carrying out memory cognition ability test on each member according to the test content matched with each member in the plurality of members to obtain the test result of each member;
establishing a dynamic norm based on the test result of each member;
determining a norm level of an operator based on the dynamic norm and the test results of the operator.
5. The memory cognition assessment method according to claim 4, wherein said test content is at least one of visual memory, auditory memory, spatial memory, contextual memory and semantic memory.
6. The method for assessing memory and cognitive abilities according to any one of claims 1 to 5, wherein the test results comprise: memory width, memory capacity and memory speed; or
Determining a psychological burden index of the operator based on the acquired physiological data, comprising:
inputting the acquired physiological data into a pre-training model, and determining the psychological load index of the operator based on the pre-training model.
7. The method for assessing memory cognitive ability according to claim 1,
the HRV index comprises an average value AVNN of R-R intervals, an average heart rate AVHR, a standard deviation SDNN of R-R intervals, a root mean square RMSSD of difference values of two adjacent R-R intervals, and a percentage PNN50 of difference between two adjacent R-R intervals which is more than 50ms in all R-R intervals;
the eye movement indexes comprise fixation time, fixation times, saccade frequency, saccade speed, saccade amplitude and pupil diameter;
the electroencephalogram index comprises state-related brain wave complexity Cs.
8. The memory cognition assessment method according to claim 7, wherein at least one of the HRV index, the ocular movement index or the electroencephalogram index of the heart rate variability of the operator during the test is acquired, and the determining the psychological load index of the operator based on the acquired physiological data comprises:
acquiring a PPG signal of an operator detected by a fingertip, bracelet or ear clip sensor;
determining the HRV index based on the acquired PPG signal.
9. The method for assessing memory cognitive ability according to claim 4 or 5, further comprising: and generating a test report comprising operator information, test results of the operator, psychological load index, norm level and theoretical memory level.
10. A memory cognition assessment system, characterized in that the system comprises:
a processor; and
a memory on which a computer program is stored, the memory cognition ability evaluation system being configured to implement the memory cognition ability evaluation method according to any one of claims 1 to 9 when the processor executes the computer program stored on the memory.
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