CN115035974A - Psychological assessment data management system and method - Google Patents
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Abstract
The invention relates to the technical field of data processing, in particular to a psychological assessment data management system and a method, wherein the system comprises: the system comprises a batch data uploading module, a data processing module and a data processing module, wherein the batch data uploading module is used for uploading a large amount of psychological evaluation data corresponding to a tested person in batch, and the psychological evaluation data comprises a psychological state detection result corresponding to a psychological experiment paradigm of the tested person and the person information of the tested person; the psychological state detection result indicates the psychological state score and/or the psychological state grade of the corresponding tested person when the psychological evaluation is carried out based on the psychological experiment paradigm; the personnel information comprises the age and/or the sex of the tested personnel; the data visualization module is used for carrying out data analysis on psychological evaluation data corresponding to a large number of tested persons to generate a visualization chart and displaying the visualization chart, the visualization chart comprises a normal form data visualization chart and/or a normal form comparison visualization chart corresponding to each psychological experiment normal form, automatic analysis of the psychological evaluation data is achieved, and analysis efficiency is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a psychological assessment data management system and a psychological assessment data management method.
Background
Psychology is the science of studying psychological phenomena and their laws. Since the modern society, many people face pressure from various aspects of life, work, study and the like, and people have different degrees of problems in the psychological state. Therefore, judgment of psychological conditions through psychological assessment data is becoming more and more required by the public.
Psychological evaluation data is an important index for evaluating a psychological condition of a person, and is usually obtained by performing psychological test on a person to be tested through at least one device based on a corresponding psychological experiment paradigm. At present, psychological evaluation data is generally stored in electronic spreadsheet Excel after being obtained, when the data is large, the psychological evaluation data needs to be stored in a plurality of electronic spreadsheets, and when relevant personnel analyze the psychological evaluation data, the psychological evaluation data in the plurality of electronic spreadsheets needs to be analyzed manually, so that the analysis efficiency is low.
Disclosure of Invention
The embodiment of the invention provides a psychological assessment data management system and method, which aim to improve the analysis efficiency of psychological assessment data. The technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a psychological assessment data management system, where the system includes:
the batch data uploading module is used for uploading in batches to obtain psychological evaluation data corresponding to a plurality of tested persons; the psychological evaluation data comprises a psychological state detection result corresponding to a psychological experiment paradigm of a detected person and person information of the detected person; the psychological state detection result indicates a psychological state score and/or a psychological state grade of a corresponding tested person when performing psychological evaluation based on a psychological experiment paradigm; the personnel information comprises the age and/or the sex of the tested personnel;
and the data visualization module is used for carrying out data analysis on psychological evaluation data corresponding to the tested persons to generate a visualization chart and displaying the visualization chart, wherein the visualization chart comprises a normal form data visualization chart and/or a normal form comparison visualization chart corresponding to each psychological experiment normal form.
Optionally, the paradigm data visualization chart comprises a psychological state grade distribution chart corresponding to a preset analysis element; the preset analysis element indicates age or gender;
the data visualization model is further to:
for each psychological experiment paradigm, determining the number of psychological state grades corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade of each tested person corresponding to the psychological experiment paradigm and the person information of each tested person; the category of the preset analysis element indicates an age category or a gender category;
and generating a psychological state grade distribution map corresponding to the preset analysis elements corresponding to the psychological experiment paradigm according to the number of the psychological state grade people corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm.
Optionally, the mental state score of the mental experiment paradigm corresponding to the measured person includes a mental state score of each of a plurality of mental experiment paradigms corresponding to the measured person; the paradigm comparison visualization chart comprises a psychological experiment paradigm repeated tested score comparison chart; the repeated tested score comparison graph of the psychological experiment paradigm comprises psychological state scores of all psychological experiment paradigms corresponding to at least one tested person.
Optionally, the mental state score of the mental experiment paradigm corresponding to the measured person includes a mental state score of each of a plurality of mental experiment paradigms corresponding to the measured person; the paradigm comparison visualization chart comprises a psychological experiment paradigm correlation chart;
the data visualization model is further to:
for two psychological experiment paradigms in the plurality of psychological experiment paradigms, performing correlation analysis on the psychological state scores of each of the two psychological experiment paradigms corresponding to the tested person to generate a psychological experiment paradigms correlation diagram corresponding to the two psychological experiment paradigms; the psychological experiment paradigm correlation map indicates a degree of positive correlation between the two psychological experiment paradigms.
Optionally, the psychological evaluation data corresponding to the tested person includes a normal evaluation satisfaction grade; the paradigm contrast visualization chart comprises a psychological experiment paradigm correlation chart and a paradigm satisfaction degree distribution chart;
the data visualization model is further to:
for each psychological experiment paradigm, counting the number of people with each paradigm evaluation satisfaction grade corresponding to the psychological experiment paradigm from the paradigm evaluation satisfaction grade corresponding to the tested person;
and evaluating the number of people at a satisfaction level according to each normal form corresponding to each psychological experiment normal form to generate the normal form satisfaction degree distribution graph.
Optionally, the data visualization module is further configured to:
and displaying the chart explanation corresponding to the visual chart.
Optionally, the system further comprises a model training module; the model training module is to:
acquiring a sample data set, and training an initial network model according to the sample data set to obtain a trained network model; the trained network model can predict the psychological state detection result of the corresponding psychological experiment paradigm of the target person.
Optionally, the system comprises an analysis report output module;
the analysis report output module is used for generating a corresponding data analysis report based on the psychological assessment data corresponding to the tested persons; the data analysis report includes at least one of: a data analysis table, a multi-normal form comprehensive analysis table and a summary part; the data analysis table indicates the number of people of the tested person in different genders and/or psychological state grades corresponding to different age groups, the multi-paradigm analysis table indicates the psychological state scores of all psychological experiment paradigms corresponding to the tested person, and the summarizing part indicates the suggestion information corresponding to different psychological state grades.
In a second aspect, an embodiment of the present invention provides a method for managing psychological assessment data, where the method includes:
the batch data uploading module uploads psychological assessment data corresponding to a plurality of tested persons in batch; the psychological evaluation data comprises a psychological state detection result corresponding to a psychological experiment paradigm of a tested person and person information of the tested person; the psychological state detection result indicates the psychological state score and/or the psychological state grade of the corresponding tested person when the psychological evaluation is carried out based on the psychological experiment paradigm; the personnel information comprises the age and/or the sex of the tested personnel;
and the data visualization module is used for carrying out data analysis on psychological evaluation data corresponding to the tested persons to generate a visualization chart and displaying the visualization chart, wherein the visualization chart comprises a normal form data visualization chart and/or a normal form comparison visualization chart corresponding to each psychological experiment normal form.
Optionally, the paradigm data visualization chart comprises a psychological state grade distribution chart corresponding to a preset analysis element; the preset analysis element indicates age or gender;
the data analysis is carried out on the psychological evaluation data corresponding to the tested persons to generate a visual chart, and the method comprises the following steps:
for each psychological experiment paradigm, determining the number of psychological state grades corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade of each tested person corresponding to the psychological experiment paradigm and the person information of each tested person; the category of the preset analysis element indicates an age category or a gender category;
and generating a psychological state grade distribution map corresponding to the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade number corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the psychological assessment data management method of the second aspect as described above.
In a fourth aspect, the present invention provides a computer-readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the psychological assessment data management method according to the second aspect is implemented.
In a fifth aspect, an embodiment of the present invention provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for managing psychological assessment data according to the second aspect is implemented.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the embodiment of the invention provides a psychological assessment data management system which comprises a batch data uploading module and a data visualization module. The batch data uploading module is used for uploading psychological evaluation data corresponding to a large number of tested persons in batches, and the psychological evaluation data corresponding to the tested persons comprise psychological state detection results of all psychological experiment paradigms of the tested persons and person information of the tested persons. The data visualization is used for analyzing the psychological state detection results of all psychological experiment paradigms of all tested persons and the person information of the tested persons to generate a corresponding visual chart, so that the automatic analysis of the psychological assessment data is realized, the analysis efficiency of the psychological assessment data can be effectively improved, the analysis of the psychological assessment data is facilitated, and the high efficiency of the psychological assessment data is improved. And after the visual chart is obtained, the visual chart is displayed so as to visually display the whole condition of the psychological assessment data and each equipment test, namely the test effect of the psychological experiment paradigm.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a block diagram of a psychological assessment data management system according to an embodiment of the present invention;
FIG. 2 is a diagram of a visualization graph according to an embodiment of the present invention;
FIG. 3 is a diagram of a visualization graph according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a visualization chart provided by an embodiment of the present invention;
fig. 5 is a flowchart of a psychological assessment data management method according to an embodiment of the present invention;
fig. 6 is a hardware structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description of the invention and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a first structural diagram of a psychological assessment data management system according to an embodiment of the present invention, and as shown in fig. 1, the psychological assessment data management system 100 includes a batch data uploading module 101 and a data visualization module 102.
The batch data uploading module 101 is configured to upload psychological evaluation data corresponding to a plurality of tested persons in batches, where the psychological evaluation data includes psychological state detection results corresponding to psychological experiment paradigms of the tested persons and person information of the tested persons. The psychological state detection result indicates the psychological state score and/or the psychological state grade of the corresponding tested person when the psychological evaluation is carried out based on the psychological experiment paradigm. The person information includes the age and/or sex of the person to be tested.
The data visualization module 102 is configured to perform data analysis on psychological evaluation data corresponding to a plurality of tested persons, generate a visualization chart, and display the visualization chart, where the visualization chart includes a normal form data visualization chart and/or a normal form comparison visualization chart corresponding to each psychological experiment normal form.
In this embodiment, the user may upload psychological assessment data corresponding to a plurality of persons to be tested to the psychological assessment data management system. The batch data uploading module acquires psychological evaluation data uploaded by a user and stores the psychological evaluation data uploaded by the user into a related database so as to facilitate analysis and management of the data. The data visualization module performs data analysis on the psychological assessment data to generate a corresponding visualization chart, so that automatic analysis of the data is realized. And after the visual chart is generated, displaying the visual chart to realize the visualization of the analysis result.
The psychological evaluation data includes one or more of test data (such as eye movement data and pupil data of the tested person) corresponding to a psychological experiment paradigm of the tested person, a psychological state detection result, and person information of the tested person of the paradigm evaluation satisfaction level.
Optionally, the psychological experiment paradigm comprises at least one of paradigm a, paradigm B, paradigm C, and paradigm D. Where paradigm a indicates video VR based psychological assessment. Paradigm B indicates picture VR based psychological assessment. Paradigm C indicates video picture based psychological assessment. Paradigm D indicates psychological assessment based on an AI psychograph instrument. Accordingly, the psychological test result of the psychological experiment paradigm is determined according to the test data of the tested person when the tested person watches the corresponding video/picture, and can be determined according to the test data by the relevant psychologist, or can be automatically determined according to the test data (for example, the range to which the test data belongs).
The psychological state score of the psychological experiment paradigm corresponding to the tested person comprises the psychological state score of each psychological experiment paradigm in the plurality of psychological experiment paradigms corresponding to the tested person. For example, if the person 1 is evaluated by using the normal form a and the normal form B, respectively, the psychological state score of the psychological experiment normal form corresponding to the person 1 includes the psychological state score of the normal form a and the psychological state score of the normal form B.
Correspondingly, the psychological state grade of the psychological experiment paradigm corresponding to the tested person includes the psychological state grade of each of the plurality of psychological experiment paradigms corresponding to the tested person. For example, the mental state ratings include primary, secondary, tertiary and normal, with lower ratings the more serious the mental problem. The psychological state grade of the psychological experiment paradigm is determined based on the score segment to which the psychological state score belongs, and the higher the psychological state score, the higher the psychological state grade.
Optionally, the satisfaction level of the paradigm evaluation of the psychological experiment paradigm represents the degree of satisfaction of the tested person on the psychological experiment paradigm used by the test.
Optionally, in order to enable the relevant personnel to know the relevant psychological assessment condition more intuitively and clearly, the data visualization module may display paradigm explanatory information, that is, display introduction and explanation of a psychological experiment paradigm adopted by the assessment data.
In the embodiment of the application, the psychological test is performed on the tested person through a multi-psychological experiment paradigm, namely, various devices, so that the same tested person can be evaluated from different directions, and a relatively comprehensive psychological state detection result is obtained; and moreover, psychological state detection results of different devices can be transversely compared, and evaluation effects among different devices can be analyzed.
Alternatively, the user may upload the psychological assessment data to the system by uploading an Excel file containing the psychological assessment data. The data is more, and the data visualization module can display the psychological assessment data in the Excel file in a page in a list mode. The displayed psychological evaluation data may include basic information such as the academic number, name, age, sex, test date, score (i.e. psychological state score), score segment (score rating) and the like of the tested person, and for a special paradigm, additional statistical information such as eye movement data and the like may be provided.
File uploading realizes feedback of two kinds of information: when the uploaded file is empty, the system feeds back prompt information that the uploaded file cannot be empty; and when the uploading is successful, displaying prompt information of 'successful file uploading'. In the paging display, 4 paging buttons are displayed at most, when the number of pages exceeds more than four, the buttons can be changed into ellipses, and in addition, the functions of jumping from the first page, the last page and the page are added.
Optionally, the psychological assessment data management system further includes a user management module, and the user management module is mainly used for managing a manager user. User management is mainly divided into three parts: user registration, user login and user keyword information inquiry.
When the user registers, if the registration information (such as a user name, a mailbox, a password and the like) input by the user meets the requirement, prompt information of successful registration can be displayed. If the registration information input by the user does not meet the requirement, corresponding failure prompt information can be displayed, for example, the user name is used, so as to prompt the user that the user name needs to be reset for registration again; the username or password cannot be null.
And when the prompt message of 'registration success' is displayed, displaying a login page so that the user can perform login operation according to the registration message. During login, the user management module can also realize three information feedbacks: successful login, wrong user name or password, and null value login. And after login is successful. Will display the prompt message of "login success"; if the user name or the password are not matched or the user name is not found in the database, prompt information of 'wrong user name or password' is displayed; if the user name or password is not entered and login is performed, a display of "user name or password cannot be empty! "is used as a prompt. And the system can be entered only if the login is successful, namely, the corresponding page is displayed, and otherwise, the login page is returned again.
After login is successful, a user management page can be displayed, and the page can display a user information list in batch. The user can search for the target user information in multiple conditions, and for the user name search, fuzzy search can be performed. In addition, the user name for which the login was successful may be displayed in the system.
Optionally, the paradigm data visualization chart is specifically displayed for a chart class of the psychological evaluation data of each psychological experiment paradigm. The paradigm data visualization chart comprises a psychological state grade distribution chart, a people number distribution chart of the psychological state grade and a statistical distribution chart of the psychological state grade corresponding to preset analysis elements of all psychological experiment paradigms. The predetermined analysis element indicates age or gender.
Optionally, the process of generating the psychological state level distribution diagram corresponding to the preset analysis element includes:
and for each psychological experiment paradigm, determining the number of psychological state grades corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade of each tested person corresponding to the psychological experiment paradigm and the person information of each tested person. The category of the preset analysis element indicates an age category or a gender category.
And generating a psychological state grade distribution map corresponding to the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade number corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm.
In this embodiment, when the preset analysis element is an age, the category of the preset analysis element is an age group. Correspondingly, for each psychological experiment paradigm, according to the psychological state grade of each tested person corresponding to the psychological experiment paradigm and the age of each tested person, determining each psychological state grade number corresponding to each age bracket corresponding to the psychological experiment paradigm. For example, it is determined that there are 3 primary psychological problems, 5 secondary psychological problems, 5 tertiary psychological problems, and normally 20 primary psychological problems in the age range of 15-19 for paradigm a. 20-24 in this age group there were 0 people in first-level psychological problems, 2 people in second-level psychological problems, 6 people in third-level psychological problems, and 13 people in normal. The first level psychological problem in the age group over 25 years old is 0, the second level psychological problem is 2, the third level psychological problem is 0, and normally there are 7.
The psychological state grade distribution map corresponding to the preset analysis element corresponding to the psychological experiment paradigm comprises a histogram and/or a pie chart. In generating the histogram, the histogram may be generated based on the number of people in each mental state class corresponding to each age group (as shown in the left part of fig. 2). And when the pie chart is generated, acquiring the number of the detected people corresponding to each age group for each age group, respectively calculating the ratio of the number of the psychological state grades corresponding to the age group to the number of the detected people corresponding to the age group, and obtaining the number of the psychological state grades in the age group. For each age group, a corresponding pie chart (shown in the right-hand portion of fig. 2) is generated based on the population ratios of the various mental state levels in that age group.
Similarly, when the preset analysis element is age, the categories of the preset analysis element may be gender categories, i.e., male and female. In the generation of the histogram, the histogram may be generated based on the number of persons in each psychological state class corresponding to each gender class. And the corresponding pie chart can be generated in the same way.
Optionally, the data visualization module may also display a chart interpretation corresponding to the visualized chart. Accordingly, a graphical explanation of the age-corresponding mental state grade profile (as shown in fig. 3) may be displayed.
In the embodiment of the present application, each sex and age are classified and analyzed through a histogram and a pie chart, and the sex distribution and the age distribution at different psychological state levels are analyzed, so that the influence of the sex and the age on the psychological state is known. The data distribution rules of different psychological state grades and the relations between different psychological state grades of different sexes and psychological assessment data and different psychological state grades of different ages and psychological assessment data can be conveniently analyzed from the aspects of sex and age.
Optionally, the generating process of the people number distribution map of the psychological state level of the psychological experiment paradigm comprises:
and for each psychological experiment paradigm, counting the number of the personnel at each psychological state grade corresponding to the psychological experiment paradigm according to the psychological state grade of the psychological experiment paradigm of the tested personnel.
And obtaining the people number distribution map of the psychological state grade of the psychological experiment paradigm according to the people number of each psychological state grade corresponding to the psychological experiment paradigm.
Specifically, the people number distribution map of the psychological state grade can comprise a histogram and a pie chart. The total number of people of four psychological state levels is visually demonstrated by the histogram. The number of people in each mental state grade and the proportion thereof are visually displayed through a pie chart. Accordingly, the icon explanation of the people number distribution map of the psychological state grade of the psychological experiment paradigm can be that the histogram is used for checking the people number distribution of different psychological state grades in the psychological assessment data. The pie chart is used for checking the number of people with different psychological state grades and the proportion of the number of people in the psychological assessment data.
Optionally, the statistical distribution map of the psychological state levels of each psychological experiment paradigm is subjected to statistics and analysis based on the psychological assessment data, and the statistical indexes are as follows: average score, median, maximum, minimum, etc.; the analysis indexes are as follows: 25% quantile, 75% quantile. The statistical distribution graph may be a histogram, and the histogram may include an average score, a median, a maximum value, a minimum value, and a value corresponding to a 25% quantile and a 75% quantile corresponding to each psychological state level in the psychological experiment paradigm. All data in the histogram are obtained by calculation according to the psychological evaluation data scores of the tested person, and the purpose is mainly to compare the difference between sample data of different psychological state grades.
Optionally, the above-mentioned paradigm-contrast visualization chart mainly focuses on analyzing the data contrast of each psychological experiment paradigm and the correlation of the psychological experiment paradigm results. The system comprises one or more of a psychological experiment paradigm repeated tested score comparison graph, a psychological experiment paradigm correlation graph, a paradigm satisfaction degree distribution graph and a comparison graph of psychological state scores of different ages of the psychological experiment paradigm.
Optionally, the repeated psychological experiment paradigm score comparison graph includes psychological state scores of respective psychological experiment paradigms corresponding to one or more tested persons. For example, student 1 corresponds to the mental state score of norm a, the mental state score of norm B, the mental state score of norm D, and the mental state score of norm D.
In the embodiment of the application, according to the scores of different patterns of repeated tests, the consistency of the effect of each psychological experiment pattern is evaluated, and the sensitivity of different tested persons to different psychological experiment patterns is evaluated; for invalid data, the stability of evaluation of different model psychological experiments can be compared.
Optionally, the psychoexperimental paradigm correlation map indicates a degree of positive correlation between the two psychoexperimental paradigms. Correspondingly, the process of generating the psychological experiment paradigm correlation chart comprises the following steps: for two psychological experiment paradigms in the psychological experiment paradigms, carrying out correlation analysis on the psychological state scores of each psychological experiment paradigms in the two psychological experiment paradigms corresponding to the tested person to generate a psychological experiment paradigms correlation diagram corresponding to the two psychological experiment paradigms; the psychological experiment paradigm correlation plot indicates the degree of positive correlation between two psychological experiment paradigms.
Specifically, for two psychological experiment paradigms, the positive correlation degree of the two psychological experiment paradigms is analyzed according to the scatter diagram and the fitting curve, that is, the tested person is firstly taken as a coordinate point, the x and y coordinate values of the coordinate point are the psychological state scores of the psychological experiment paradigms in the two psychological experiment paradigms corresponding to the tested person respectively, for example, the psychological state score of the paradigms a of the tested person 1 is 70 scores, the psychological state score of the paradigms B is 71 scores, and then the coordinate point corresponding to the tested person 1 is (70, 71). Then, all coordinate points are added to a preset coordinate graph, wherein the X axis of the coordinate graph can be the mental state score of one mental experiment paradigm, and the Y axis of the coordinate graph can be the mental state score of another mental experiment paradigm. Then, curve fitting is performed on each coordinate point to generate a corresponding fitting curve, so that a relevant person can determine the positive correlation degree of the two experimental paradigms (as shown in fig. 3).
Correspondingly, the chart interpretation of the psychological experiment paradigm correlation diagram is the correlation analysis of two experimental paradigm (such as paradigm A and paradigm B), and according to the scatter diagram and the fitting curve, it can be seen that the two paradigm are in positive correlation, that is, the score measured by a certain tested person through paradigm A and the score measured by paradigm B should be near the fitting curve.
Optionally, the process of generating the paradigm shift visualization chart includes:
for two psychological experiment paradigms in the psychological experiment paradigms, the psychological state scores of each psychological experiment paradigms in the two psychological experiment paradigms corresponding to the tested person are subjected to correlation analysis, and a psychological experiment paradigms correlation diagram corresponding to the two psychological experiment paradigms is generated. The psychological experiment paradigm correlation map indicates the degree of positive correlation between the two psychological experiment paradigms.
Optionally, the pattern satisfaction degree distribution graph can be a pie chart, and the evaluation effect between different psychological experiment patterns is mainly compared through the satisfaction degree. When the overall satisfaction degree of a certain psychological experiment paradigm is low, re-evaluation needs to be considered to obtain a good evaluation result, otherwise, the subsequent analysis and evaluation may be influenced.
The process of generating the pattern satisfaction degree distribution graph comprises the following steps:
and for each psychological experiment paradigm, counting the number of people with each paradigm evaluation satisfaction grade corresponding to the psychological experiment paradigm from the paradigm evaluation satisfaction grade corresponding to the tested people. The satisfaction grades of the paradigm evaluation can comprise dissatisfaction, general satisfaction, comparative satisfaction and very satisfaction.
According to the number of people of each normal form evaluation satisfaction level corresponding to the psychological experiment normal form, a normal form satisfaction degree distribution graph corresponding to the psychological experiment normal form is generated, namely for each normal form evaluation satisfaction level, the ratio of the number of people of the normal form evaluation satisfaction level to the total number of people corresponding to the psychological experiment normal form (namely the sum of the number of people of each normal form evaluation satisfaction level) is calculated, the proportion of the normal form evaluation satisfaction level is determined, and therefore a pie graph (namely the normal form satisfaction degree distribution graph) corresponding to the psychological experiment normal form can be generated according to the proportion of each normal form evaluation satisfaction level. Then, the pattern satisfaction degree distribution charts corresponding to all the psychological experiment patterns can be displayed.
Optionally, a comparison graph of mental state scores of different ages of mental experimental paradigm: according to the comparison of different age group scores under the same psychological experiment paradigm, the influence of different age groups on the psychological state scores is analyzed, and according to the comparison of the psychological state scores of different psychological experiment paradigms under the same age group, the influence of different paradigms on the psychological state scores is analyzed. Correspondingly, the comparison graphs of the psychological state scores of different ages of the psychological experiment paradigm can comprise comparison histograms of the average psychological state scores of the tested persons of the same age group, corresponding icons of the comparison histograms are explained as the comparison of the psychological state scores of the tested persons of different ages under each paradigm, and the influence of the age group on the psychological state scores can be analyzed according to the comparison of the psychological state scores of the tested persons of different ages under the same paradigm. According to the score comparison of different psychological experiment paradigms under the same age group, the influence of the paradigms on the psychological state scores can be analyzed.
Alternatively, the comparison graph of mental state scores of different ages in the mental experiment paradigm can comprise a population distribution histogram of each paradigm score segment, and the corresponding icons of the comparison graph explain the population distribution of different score segments in each mental experiment paradigm, and according to the population analysis of each paradigm score segment, the mental state scores of different paradigms can be evaluated.
Optionally, the system further comprises a model training module. The model training module is used for:
and acquiring a sample data set, and training the initial network model according to the sample data set to obtain the trained network model. Wherein, the trained network model (i.e. classification model) can predict the psychological state detection result of the psychological experiment paradigm corresponding to the target person based on the test data of the psychological experiment paradigm corresponding to the target person
Specifically, the model training module is mainly divided into three parts: the first part is the relevant operation of model training and has the functions of: selecting a sample data set; selecting a parameter list; selecting a model training mode; inputting a test set and predicting a result; obtaining the accuracy of model prediction and the like; the second part is a visual part of model training and is used for displaying a model training result, and the first five characteristic values playing a key role in classifying the model and the importance ratio of the five characteristic values. The third part is a specific information viewing function, and the information which can be viewed specifically comprises the following information: data set, parameter dictionary, specific meaning of characteristic value of data set.
Optionally, the paradigm data visualization chart may further include an ROC graph (as shown in the left portion of fig. 4), a PR graph (as shown in the right portion of fig. 4). And judging whether the effect of the classification model is excellent or not according to the area AUC under the ROC curve, wherein the AUC is 0-1, and the classifier has better effect when the numerical value is larger. And judging the performance of the classification model according to the position of the PR curve, wherein the performance is better when the PR curve is closer to the upper right corner.
Optionally, the paradigm shift visualization chart may further include a sensitivity and specificity map of the psychological experiment paradigm. The sensitivity and specificity graph of the psychological experiment paradigm can be a histogram including the sensitivity and specificity corresponding to each psychological experiment paradigm, and relevant personnel can analyze the effect of each psychological experiment paradigm by comparing the sensitivity and specificity corresponding to each psychological experiment paradigm. Correspondingly, the icon explanation of the sensitivity and specificity graph of the psychological experiment paradigm is that the sensitivity is: sensitivity = true positive number/(true positive number + false negative number). 100%. The specificity is as follows: specificity = number of true negatives/(number of true negatives + number of false positives). 100%. Wherein the number of false positives indicates the number of people in the negative sample that are predicted to be positive by the classification model. The number of true positives indicates the number of people in the positive sample that the classification model predicts as a positive sample. The number of true negative persons indicates the number of persons predicted as negative samples by the classification model in the negative samples. The number of false negatives indicates the number of positive samples that are predicted by the classification model to be negative samples.
Optionally, the system further includes an analysis report output module. The analysis report output module is used for generating a corresponding psychological evaluation analysis report based on the psychological evaluation data (i.e. sample data) corresponding to the tested persons. Specifically, the analysis report output module generates a data analysis report after data analysis, which is used for comprehensively analyzing the data analysis content, the analysis result and the multi-normal comprehensive analysis table in the system, and finally, analyzes and summarizes all the data and provides corresponding suggestions for the testees with psychological problems in the evaluation system to solve the psychological problems. In addition, the psychological assessment analysis report can be exported to PDF, so that the psychological assessment analysis report is convenient to view.
The data analysis report comprises a data analysis table, namely the gender distribution and the age distribution of the tested person. By means of the gender distribution and age distribution table, the distribution of the number of people of each male and female in the sample data and the psychological state grades (namely the number of people of each psychological state grade corresponding to each gender) and the distribution of different age groups and psychological state grades (namely the number of people of each psychological state grade corresponding to each age group) can be analyzed, relevant people can be helped to analyze the characteristics of the sample data, and the distribution of the whole data can be estimated according to the distribution of the psychological evaluation data of the tested people.
Optionally, the data analysis report includes a multi-paradigm analysis table, which includes an analysis comparison table of the tested person participating in the multiple paradigm evaluations, that is, the mental state scores of the respective mental experimental paradigms corresponding to the tested person. The evaluation effect of each paradigm evaluation is evaluated by comparing different test scores (namely psychological state scores) of each psychological experiment paradigm corresponding to the same tested person so as to analyze the characteristics of each paradigm.
Optionally, the data analysis report includes a summary section mainly including statistical data of the psychological evaluation data including the headcount of each psychological state level and multi-paradigm data divided into video VR (Virtual Reality) data, picture VR data, tablet data, AI (Artificial Intelligence) psychograph data. People with different psychological problems are found according to the analysis result, and different suggestions are made according to different psychological conditions.
In the embodiment of the application, psychological assessment is usually performed through multiple tests by using multiple devices (i.e. psychological experiment paradigm), psychological assessment data is generally stored in an Excel file, and relevant personnel cannot visually see the overall condition of the psychological assessment data and the test effect of each device. Therefore, the psychological assessment data result management system is set up, existing psychological assessment data are analyzed, processed and visualized, and a classification model is set up to predict test data. The system can effectively mine valuable information in the evaluation data and improve the analysis efficiency and interpretation effectiveness of the evaluation data, and the system has the functions of a user management module, a batch data uploading module, a data visualization module, a model training module, an analysis report output module and the like. The user management module realizes the registration and login functions of the user, and multi-condition search and fuzzy search of the user. The batch data uploading module is used for uploading and previewing the Excel file, and paging display is carried out on the physical state detection result and the personnel information; the data visualization module is used for performing visualization display and chart analysis and interpretation information on the psychological assessment data and the multi-normal form data; the model training module uses a typical algorithm random forest in ensemble learning, and searches an optimal analysis prediction model, namely a classification model, through cross validation; and the analysis report module summarizes all psychological assessment data, lists valuable charts and can finally derive the PDF. The system can analyze, process and visualize the existing psychological assessment data, is convenient for data statistics and management, and improves the data analysis efficiency.
Fig. 5 is a flowchart of a psychological assessment data management method according to an embodiment of the present invention, and as shown in fig. 5, the method includes:
s501, uploading psychological evaluation data corresponding to a plurality of tested persons in batches by the batch data uploading module, wherein the psychological evaluation data comprise psychological state detection results corresponding to psychological experiment paradigms of the tested persons and person information of the tested persons. The psychological state detection result indicates the psychological state score and/or the psychological state grade of the corresponding tested person when the psychological evaluation is carried out based on the psychological experiment paradigm. The person information includes the age and/or sex of the person to be measured.
S502, the data visualization module performs data analysis on psychological evaluation data corresponding to a plurality of tested persons to generate a visualization chart, and displays the visualization chart, wherein the visualization chart comprises a normal form data visualization chart and/or a normal form comparison visualization chart corresponding to each psychological experiment normal form.
Optionally, the paradigm data visualization chart includes a psychological state grade distribution chart corresponding to the preset analysis element. The predetermined analysis element indicates age or gender.
Carrying out data analysis on psychological evaluation data corresponding to a plurality of tested persons to generate a visual chart, wherein the data analysis comprises the following steps:
and for each psychological experiment paradigm, determining the number of psychological state grades corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade of each tested person corresponding to the psychological experiment paradigm and the person information of each tested person. The category of the preset analysis element indicates an age category or a gender category.
And generating a psychological state grade distribution map corresponding to the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade number corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm.
The implementation process of the corresponding steps in the method is detailed in the functions and functions of the modules, and is not described herein again.
Fig. 6 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention. As shown in fig. 6, the electronic device 600 provided in the present embodiment includes: at least one processor 601 and memory 602. The processor 601 and the memory 602 are connected by a bus 603.
In a specific implementation, the at least one processor 601 executes computer-executable instructions stored in the memory 602, so that the at least one processor 601 performs the psychological assessment data management method in the above-described method embodiments.
For a specific implementation process of the processor 601, reference may be made to the above method embodiments, which implement the principle and the technical effect similarly, and details of this embodiment are not described herein again.
In the embodiment shown in fig. 6, it should be understood that the Processor 601 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory, and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the method is implemented as described above.
The computer-readable storage medium may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Embodiments of the present invention further provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method described above is implemented.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A psychological assessment data management system, characterized in that the system comprises:
the system comprises a batch data uploading module, a data processing module and a data processing module, wherein the batch data uploading module is used for uploading psychological evaluation data corresponding to a plurality of tested persons in batches, and the psychological evaluation data comprises psychological state detection results corresponding to psychological experiment paradigms of the tested persons and the person information of the tested persons; the psychological state detection result indicates the psychological state score and/or the psychological state grade of the corresponding tested person when the psychological evaluation is carried out based on the psychological experiment paradigm; the personnel information comprises the age and/or the sex of the tested personnel;
and the data visualization module is used for carrying out data analysis on the psychological evaluation data corresponding to the tested persons to generate a visualization chart and displaying the visualization chart, and the visualization chart comprises a normal form data visualization chart and/or a normal form comparison visualization chart corresponding to each psychological experiment normal form.
2. The system according to claim 1, wherein the paradigm data visualization chart comprises a psychological state level distribution chart corresponding to a preset analysis element; the preset analysis element indicates age or gender;
the data visualization model is further to:
for each psychological experiment paradigm, determining the number of psychological state grades corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade of each tested person corresponding to the psychological experiment paradigm and the person information of each tested person; the category of the preset analysis element indicates an age category or a gender category;
and generating a psychological state grade distribution map corresponding to the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade number corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm.
3. The system according to claim 1, wherein the mental state score of the mental laboratory paradigm corresponding to the person under test comprises a mental state score of each of a plurality of mental laboratory paradigms corresponding to the person under test; the paradigm comparison visualization chart comprises a psychological experiment paradigm repeated tested score comparison chart; the repeated tested score comparison graph of the psychological experiment paradigm comprises psychological state scores of all psychological experiment paradigms corresponding to at least one tested person.
4. The system according to claim 1, wherein the mental state score of the mental laboratory paradigm corresponding to the person under test comprises the mental state score of each of a plurality of mental laboratory paradigms corresponding to the person under test; the paradigm comparison visualization chart comprises a psychological experiment paradigm correlation chart;
the data visualization model is further to:
for two psychological experiment paradigms in the plurality of psychological experiment paradigms, performing correlation analysis on the psychological state scores of each of the two psychological experiment paradigms corresponding to the tested person to generate a psychological experiment paradigms correlation diagram corresponding to the two psychological experiment paradigms; the psychological experiment paradigm correlation map indicates a degree of positive correlation between the two psychological experiment paradigms.
5. The system of claim 1, wherein the psychological assessment data associated with the person under test comprises a paradigm assessment satisfaction rating; the paradigm comparison visualization chart comprises a paradigm satisfaction degree distribution chart;
the data visualization model is further to:
for each psychological experiment paradigm, counting the number of people with each paradigm evaluation satisfaction grade corresponding to the psychological experiment paradigm from the paradigm evaluation satisfaction grade corresponding to the tested person;
and evaluating the number of people at a satisfaction level according to each normal form corresponding to each psychological experiment normal form to generate the normal form satisfaction degree distribution graph.
6. The system of any of claims 1 to 5, wherein the data visualization module is further configured to:
and displaying the chart explanation corresponding to the visual chart.
7. The system of any one of claims 1 to 5, further comprising a model training module; the model training module is to:
acquiring a sample data set, and training an initial network model according to the sample data set to obtain a trained network model; the trained network model can predict the psychological state detection result of the psychological experiment paradigm corresponding to the target person.
8. The system of any one of claims 1 to 5, wherein the system comprises an analysis report output module;
the analysis report output module is used for generating corresponding data analysis reports based on the psychological evaluation data corresponding to the tested persons; the data analysis report includes at least one of: a data analysis table, a multi-normal form comprehensive analysis table and a summary part; the data analysis table indicates the number of people of the tested person in different genders and/or psychological state grades corresponding to different age groups, the multi-paradigm comprehensive analysis table indicates the psychological state scores of all psychological experiment paradigms corresponding to the tested person, and the summary part indicates the advice information corresponding to different psychological state grades.
9. A psychological assessment data management method, comprising:
the system comprises a batch data uploading module, a comparison module and a comparison module, wherein the batch data uploading module uploads psychological evaluation data corresponding to a plurality of tested persons in batch, and the psychological evaluation data comprise psychological state detection results corresponding to psychological experiment paradigms of the tested persons and person information of the tested persons; the psychological state detection result indicates the psychological state score and/or the psychological state grade of the corresponding tested person when the psychological evaluation is carried out based on the psychological experiment paradigm; the personnel information comprises the age and/or the sex of the tested personnel;
and the data visualization module is used for carrying out data analysis on psychological evaluation data corresponding to the tested persons to generate a visualization chart and displaying the visualization chart, wherein the visualization chart comprises a normal form data visualization chart and/or a normal form comparison visualization chart corresponding to each psychological experiment normal form.
10. The method according to claim 9, wherein the paradigm data visualization chart comprises a psychological state grade distribution chart corresponding to a preset analysis element; the preset analysis element indicates age or gender;
the data analysis is carried out on the psychological evaluation data corresponding to the tested persons to generate a visual chart, and the method comprises the following steps:
for each psychological experiment paradigm, determining the number of psychological state grades corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade of each tested person corresponding to the psychological experiment paradigm and the person information of each tested person; the category of the preset analysis element indicates an age category or a gender category;
and generating a psychological state grade distribution map corresponding to the preset analysis elements corresponding to the psychological experiment paradigm according to the psychological state grade number corresponding to each category of the preset analysis elements corresponding to the psychological experiment paradigm.
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