CN112509671A - Psychological assessment method and device based on virtual reality and electronic equipment - Google Patents
Psychological assessment method and device based on virtual reality and electronic equipment Download PDFInfo
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Abstract
The invention provides a psychological assessment method and device based on virtual reality and electronic equipment, wherein the method comprises the following steps: acquiring first interactive data of a person to be detected, wherein the first interactive data comprises interactive contents, interactive behaviors and physiological data of the person to be detected; generating a virtual interaction scene based on the first interaction data, wherein the virtual interaction scene is used for providing interaction content for a person to be tested; acquiring second interactive data of a person to be detected, wherein the second interactive data is generated based on the virtual interactive scene; and analyzing the first interactive data and the second interactive data to obtain a psychological evaluation result of the person to be tested. After preliminary interactive data are obtained through human-computer interaction, a corresponding virtual interactive scene can be generated based on the interactive data, psychological data of a person to be tested and a deep layer can be mined based on the interactive data collected by the virtual interactive scene, and more dimensionality and more interactive data can be obtained to improve the accuracy of evaluation.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an event prediction method and device and electronic equipment.
Background
In the 'white paper for mental health of residents in cities and towns' released in 5 months this year, the current survey results of the mental health conditions of the residents in cities and towns in China show that 73.6 percent of people are in a mental sub-health state. The new york times also written that psychology and psychology have become increasingly popular in china, with on-line psychological counseling or on-line, off-line, on-side services becoming more popular. But the current Chinese psychological consulting industry does not form a standard, systematic and professional consulting service system. The receptivity of common people to psychological and psychological consultation is low, professional psychological assessment and interesting assessment cannot be clearly distinguished, and the method is effectively applied. When the problems of life contradiction, education and nourishment puzzlement, intimacy, personal growth and the like are encountered, how to scientifically face the problems and how to clearly recognize the severity of psychological problems, the self-assessment on the psychological health level is insufficient, and meanwhile, a qualified professional and convenient psychological health assessment system is lacking in the industry.
Therefore, limited to the cultural habits of Chinese people, it is currently difficult for people to accept psychological counseling with people, whether face-lost offline or online telephone/video counseling. Still simulate psychological consultation through artificial intelligence technique, nevertheless still hardly provide a good psychological assessment experience such as immersive through the form of text chat for the people, private, simultaneously, also can have certain psychology mustard base when the personnel that await measuring assess, can cause the psychological assessment result inaccurate.
Disclosure of Invention
In order to solve the problem of inaccurate psychological assessment results in the prior art, embodiments of the present invention provide a psychological assessment method and apparatus based on virtual reality, and an electronic device.
According to a first aspect, an embodiment of the present invention provides a method for psychological assessment based on virtual reality, including: acquiring first interactive data of a person to be detected, wherein the first interactive data comprises interactive contents, interactive behaviors and physiological data of the person to be detected; generating a virtual interaction scene based on the first interaction data, wherein the virtual interaction scene is used for providing interaction content for a person to be tested; acquiring second interactive data of a person to be detected, wherein the second interactive data is generated based on the virtual interactive scene; and analyzing the first interactive data and the second interactive data to obtain a psychological evaluation result of the person to be tested.
Optionally, the generating a virtual interaction scene based on the first interaction data includes: inputting the first interactive data into a psychological assessment model to obtain a preliminary assessment result; searching virtual interaction scene information corresponding to the preliminary evaluation result based on the preliminary evaluation result; and generating the virtual interaction scene based on the virtual interaction scene information.
Optionally, the preliminary evaluation result comprises a plurality of sub-evaluation results; the step of searching the virtual interaction scene information corresponding to the preliminary evaluation result by the preliminary evaluation result comprises: traversing preset sub-virtual interactive scene information to call sub-virtual interactive scene information corresponding to the sub-evaluation result; wherein the sub-virtual interactive scene information includes: at least one of video/video clips, music/music clips, a speech question bank, science knowledge explanation and behavior guidance information; and splicing the sub-virtual interactive scene information to obtain the virtual interactive scene information.
Optionally, the generating a virtual interaction scene based on the first interaction data includes: generating an intermediate virtual interaction scene based on the first interaction data; acquiring intermediate interaction data of the person to be detected according to the intermediate virtual interaction scene, and generating another intermediate virtual interaction scene based on the intermediate interaction data; and repeating the step of obtaining the intermediate interaction data of the person to be detected according to the intermediate virtual interaction scene, and generating another intermediate virtual interaction scene based on the intermediate interaction data until the intermediate interaction data and/or the intermediate virtual interaction scene meet preset conditions, and taking the finally generated intermediate virtual interaction scene as the virtual interaction scene.
Optionally, the second interaction data comprises a plurality of intermediate interaction data; the obtaining of the psychological assessment result of the person to be tested based on the first interactive data and the second interactive data includes: integrating the first interactive data and the plurality of intermediate interactive data to obtain evaluation interactive data; and inputting the assessment interactive data into a psychological assessment model to obtain the assessment result.
Optionally, the integrating the first interaction data and the plurality of intermediate interaction data to obtain the evaluation interaction data includes: sequentially carrying out comparative analysis on the first interactive data and the intermediate interactive data according to a time sequence to obtain the variation characteristics of the interactive data in different interactive dimensions, wherein the interactive dimensions comprise interactive content dimensions, interactive behavior dimensions and physiological data dimensions; integrating the first interaction data, the intermediate interaction data, and the change feature into the assessment interaction data.
Optionally, the psychological assessment model comprises: a cognitive assessment model of depression, a cognitive assessment model of application anxiety, a cognitive assessment model of panic disorder, a cognitive assessment model of health anxiety.
According to a second aspect, an embodiment of the present invention provides a virtual reality-based psychological assessment apparatus, including: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring first interactive data of a person to be detected, and the first interactive data comprises interactive contents, interactive behaviors and physiological data of the person to be detected; the generating module is used for generating a virtual interactive scene based on the first interactive data, and the virtual interactive scene is used for providing interactive contents for the person to be tested; the second acquisition module is used for acquiring second interactive data of the person to be detected, and the second interactive data is generated based on the virtual interactive scene; and the analysis module is used for analyzing the first interactive data and the second interactive data to obtain a psychological evaluation result of the person to be tested.
According to a third aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the virtual reality-based psychological assessment method according to any one of the first aspect.
According to a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to cause the at least one processor to perform the virtual reality based mental retardation method of any one of the first aspect.
In the embodiment of the application, first interactive data of a person to be tested is obtained, wherein the first interactive data comprises interactive contents, interactive behaviors and physiological data of the person to be tested; generating a virtual interaction scene based on the first interaction data, wherein the virtual interaction scene is used for providing interaction content for a person to be tested; acquiring second interactive data of a person to be detected, wherein the second interactive data is generated based on the virtual interactive scene; and analyzing the first interactive data and the second interactive data to obtain a psychological evaluation result of the person to be tested. After preliminary interactive data are obtained through human-computer interaction, a corresponding virtual interactive scene can be generated based on the interactive data, psychological data of a person to be tested and a deep layer can be mined based on the interactive data collected by the virtual interactive scene, and more dimensionality and more interactive data can be obtained to improve the accuracy of evaluation.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a hardware environment for an alternative virtual reality-based mental assessment method according to an embodiment of the invention;
FIG. 2 is a schematic flow chart diagram illustrating an alternative virtual reality-based mental assessment method according to an embodiment of the present application;
fig. 3 is a block diagram of an alternative virtual reality-based psychological assessment apparatus according to an embodiment of the present application;
fig. 4 is a block diagram of an alternative electronic device according to an embodiment of the present application.
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.
As described in the background, there is also a lack of qualified professional convenient mental health assessment systems in the industry, and currently online assessment systems typically integrate a large number of mental health scales, but do not form a systematic, standard mental health assessment system for the population. The scale is in a questionnaire form, the experience sense is single, the effectiveness of the acquired mental health characteristic indexes is low, and the use requirements of the people cannot be met.
Therefore, the inventor proposes that the psychology can be evaluated in a virtual reality mode, various data in the tested person immersive interaction process are obtained, and the various data are classified and analyzed according to a preset model, so that an evaluation result is finally obtained.
According to an aspect of an embodiment of the present application, there is provided a virtual reality-based psychological assessment method. Alternatively, in the present embodiment, the above-described virtual reality-based psychological assessment method may be applied to a hardware environment formed by the terminal 102 and the server 104 as shown in fig. 1. As shown in fig. 1, the server 104 is connected to the terminal 102 through a network, and may be configured to provide services (such as game services, application services, and the like) for the terminal or a client installed on the terminal, set a database on the server or independent of the server, provide data storage services for the server 104, and process cloud services, where the network includes but is not limited to: the terminal 102 is not limited to a PC, a mobile phone, a tablet computer, etc. the terminal may be a wide area network, a metropolitan area network, or a local area network. The virtual reality-based psychological assessment method according to the embodiment of the present application may be executed by the server 104, the terminal 102, or both the server 104 and the terminal 102. The terminal 102 may perform the virtual reality-based psychological assessment method according to the embodiment of the present application by a client installed thereon. Illustratively, the terminal 102 may employ VR glasses.
Specifically, referring to the flowchart of the virtual reality-based psychological assessment method shown in fig. 2, the method specifically includes the following steps:
s11, acquiring interactive data of the tested personnel. As an exemplary embodiment, the interaction data may include interaction content, interaction behavior, and physiological data. In this embodiment, a human-computer interaction mode, for example, a human-computer question and answer mode, may be adopted, and the preset question bank may be preset to obtain answer information of the tested person for the preset question bank based on the preset question bank; identifying the answer information to obtain the interactive content; the active input information actively input by the tested person can be obtained according to the interactive content of the tested person and the robot actively; and identifying keywords in the active input information to obtain the interactive content. The user can freely input the content, can carry out keyword recognition on the input content, and can evaluate the keywords. And the behavior data and the physiological data of the tested person in the interaction process can also be detected. Specifically, the behavior data includes operation behavior data of the person to be tested and/or voice data of the person to be tested. Specifically, taking depression as an example, the human-computer interaction question-answer design is designed according to a depression assessment five-dimensional model frequently adopted by offline psychological consultation, and inquires about the emotion, physiology, behavior, cognitive specific state description, frequency, duration, whether the intention and behavior of self-injury suicide exist, and the like of a user. In addition, the psychology of the person to be tested can be scientifically evaluated by adopting a scale, and particularly, a depression self-rating scale (SDS) is used for scientifically evaluating the depression level of the user in the man-machine interaction process by taking depression as an example. During the interaction, the behavior of the tested person can be monitored, specifically, the response time of the tested person to answer questions can be monitored, or the option of selecting questions of the tested person can be monitored, for example, whether the user has slow response or always selects the option of ' negation/unclear ' during the man-machine interaction process, whether the solution proposed to the robot has an operation behavior, and exemplarily, the user is recommended to do a meditation ' but does not trigger the function. As an alternative embodiment, the interaction behavior of the user may also be monitored by the image capturing device in the form of video or image. In addition, the physiological data can be monitored by a physiological monitoring device, for example, heartbeat data can be collected, and the physiological data can be obtained by judging whether the heartbeat is accelerated or not.
And S12, generating a virtual interaction scene based on the first interaction data, wherein the virtual interaction scene is used for providing virtual interaction content for the person to be tested. As an exemplary embodiment, the virtual interactive scene may be generated specifically based on the first interactive data expressed by the user through the human-computer interaction for the first time, so as to perform a deeper evaluation. Illustratively, according to a human-computer interaction mode, according to different interaction contents, interaction behaviors and physiological data, the acquired physiological/psychological data is subjected to structural analysis on the user behavior data and the psychological consultation technical assessment principle. Specifically, taking depression as an example, the depression assessment five-dimensional model is designed according to off-line psychological consultation by means of human-computer interaction question-answer design, the emotion, physiology, behavior and cognitive specific state description, frequency, duration, intention and behavior of autoinjury suicide and the like of a user are inquired, evaluation is carried out by combining physiological data collected in the question-answer process, and cognitive data related to the user, such as negative cognitive bias and symptoms, are collected by the depression cognitive assessment model in cognitive behavior therapy, wherein the cognitive bias and symptoms are as follows: fatigue, inability to concentrate on mental/activity reduction/loss of pleasure or accomplishment/decline in ability to handle and solve problems/negative sense of opinion/hopelessness to oneself, etc.; feeling exaggerated and/or inappropriate threats/willingness to protect oneself from threats to the utmost/strategies to take short-term relief are not addressed by anxiety-related beliefs/feelings of fear/etc.; and judging the emotional state, the physiological state, the behavioral state, the motivational state, the cognitive state and the three-low state of the tested person to obtain a preliminary evaluation result of the tested person. Wherein the psychological assessment model comprises: a cognitive assessment model of depression, a cognitive assessment model of application anxiety, a cognitive assessment model of panic disorder, a cognitive assessment model of health anxiety.
In this embodiment, the preliminary evaluation result may be a probability that the person to be tested is evaluated as the psychological state, and illustratively, the depression probability is 50%, the application anxiety probability is 20%, and the panic probability is 20%, based on the preliminary evaluation result, a virtual scene corresponding to the preliminary evaluation result is searched in a preset database, and a virtual interactive scene is finally generated. For example, a virtual scene corresponding to depression, application anxiety and panic may be found for further interaction with the person to be tested in order to generate further interaction data for determining the real mental state of the person to be tested.
S13, second interactive data of the person to be tested are obtained, and the second interactive data are generated based on the virtual interactive scene. As an exemplary embodiment, after the virtual interaction scene is obtained, the virtual interaction scene may be played, at this time, interaction data generated by the user based on the virtual interaction scene may be collected, the interaction data may be used as second interaction data, and in this embodiment, the second interaction data may also include interaction content, interaction behavior, and physiological data based on the virtual interaction scene. See the description of the first interaction data in particular.
And S14, analyzing the first interactive data and the second interactive data to obtain a psychological assessment result of the person to be tested. In this embodiment, the interactive data to be finally evaluated may be obtained by updating the first interactive data with the second interactive data, or may be obtained by merging the first interactive data and the second interactive data. As an exemplary embodiment, depression characteristic data of a user may be collected according to a five-dimensional depression assessment model and DSM-5/CCMD-3 relevant diagnostic criteria for depression; user-related cognitive data, such as negative cognitive bias and symptoms, are collected from a cognitive assessment model for depression in cognitive behavioral therapy, such as: fatigue, inability to concentrate on mental/activity reduction/loss of pleasure or accomplishment/decline in ability to handle and solve problems/negative sense of opinion/hopelessness to oneself, etc.; collecting user-related cognitive data according to an anxiety cognition assessment model in cognitive behavioral therapy, such as feeling exaggerated and/or inappropriate threats/willingness to protect oneself from threats to the utmost/adopting short-term relief strategies, but not touching anxiety-related beliefs/feelings of fear/and the like; collecting user-related cognitive data according to a panic cognition assessment model in cognitive behavioral therapy, such as catastrophical prediction on health and physiological of concern/anxiety/avoidance behavior/adherence issues; and collecting user-related cognitive data according to a cognitive assessment model of health anxiety in cognitive behavior therapy, such as selective attention to disaster misunderstanding/anxiety/safety demand behavior/incapability of realizing that a disaster does not occur, and the like. The psychological data of the tested person is analyzed and compared, the acquired data is structurally processed according to the structural interview and case conceptualization standard in the psychological consulting technology, and whether the psychological health risk exists is analyzed.
As an exemplary embodiment, the finding, by the preliminary evaluation result, virtual interaction scenario information corresponding to the preliminary evaluation result may include: traversing preset sub-virtual interactive scene information to call sub-virtual interactive scene information corresponding to the sub-evaluation result; wherein the sub-virtual interactive scene information includes: at least one of video/video clips, music/music clips, a speech question bank, science knowledge explanation and behavior guidance information; and splicing the sub-virtual interactive scene information to obtain the virtual interactive scene information. As an exemplary embodiment, different preliminary evaluation results may correspond to different sub-virtual interaction scenarios. Illustratively, the same preliminary evaluation result may also correspond to multiple self-virtual interactive scenes, e.g., video/music combinations. Music and science popularization knowledge explanation combination, and the like. When the sub-virtual interactive scenes are spliced, the corresponding sub-virtual interactive scenes can be subjected to priority sequencing splicing based on the percentage of each evaluation result in the primary evaluation result. For example, the higher the percentage of the preliminary evaluation result is, the higher the priority of the child virtual interactive scene is.
As an exemplary embodiment, when generating a virtual interactive scene based on the first interactive data, multiple rounds may be performed, and, for example, an intermediate virtual interactive scene is generated based on the first interactive data; acquiring intermediate interaction data of the person to be detected according to the intermediate virtual interaction scene, and generating another intermediate virtual interaction scene based on the intermediate interaction data; and repeating the step of obtaining the intermediate interaction data of the person to be detected according to the intermediate virtual interaction scene, and generating another intermediate virtual interaction scene based on the intermediate interaction data until the intermediate interaction data and/or the intermediate virtual interaction scene meet preset conditions, and taking the finally generated intermediate virtual interaction scene as the virtual interaction scene. In this embodiment, the preset condition may be the number of times of generating the intermediate interactive data or the intermediate virtual interactive scene, may be the number of data dimensions of the interactive data, and when the data dimensions reach the preset number, it is considered that a sufficient amount of interactive data is obtained, and may also be the repetition degree of the virtual interactive scene, and when the repetition degree of the current intermediate virtual interactive scene and the previous intermediate virtual scene reaches the preset value, it is considered that a sufficient amount of interactive data has been collected. In the embodiment, interactive data are acquired through a plurality of rounds of virtual interactive scenes, so that psychological data of a person to be tested and a deep level can be mined, more dimensions and more interactive data can be acquired, and the accuracy of evaluation is improved.
As an exemplary embodiment, the second interaction data includes a plurality of intermediate interaction data; the obtaining of the psychological assessment result of the person to be tested based on the first interactive data and the second interactive data includes: integrating the first interactive data and the plurality of intermediate interactive data to obtain evaluation interactive data; illustratively, the first interaction data and the intermediate interaction data may be subjected to comparative analysis in sequence according to a time sequence to obtain variation characteristics of the interaction data in different interaction dimensions, where the interaction dimensions include an interaction content dimension, an interaction behavior dimension, and a physiological data dimension. After the plurality of intermediate interactive data are acquired, the variation characteristics among the intermediate interactive data can be compared in sequence, for example, the variation characteristics of each heartbeat and each heart rate can be analyzed; the reaction duration and the action duration of the things and the frequency change characteristics of selecting preset options; the performance of the person to be tested on the same type of events or different events can be analyzed based on the change characteristics, and then the psychological change and the true psychological state of the person to be tested can be analyzed.
As an exemplary embodiment, the acquiring of the interaction behavior data of the tested person in the interaction process includes: acquiring at least one of reaction time length, action time length or the number of times of selecting preset options of a tested person in an interaction process; and generating interactive behavior data based on at least one of the reaction time length, the action time length and the times of selecting the preset options.
Specifically, user behaviors are monitored in the human-computer interaction process, whether a user reacts slowly or always selects a 'negative/unclear' option in the human-computer interaction process is monitored, whether a solution proposed by the robot has an operation behavior or not is monitored, a time monitoring system is arranged in the interaction of a tested person, one of times of judging and selecting each problem of the tested person in the interaction process or times of selecting preset same type judging and selecting options is fed back and monitored through the system, and interaction behavior data in at least one human-computer interaction process is generated.
As an exemplary embodiment, the acquiring of the interaction behavior data of the tested person in the interaction process includes: recognizing voice information of a tested person; analyzing at least one of volume, tone, voice rhythm and voice definition of the voice information; and generating the interactive behavior data based on at least one of the volume, the tone, the voice rhythm and the voice definition.
Specifically, the voice acquisition unit and the analysis unit are arranged in the human-computer interaction system, when audio is acquired, various data of the audio are disassembled, at least one of the volume, the tone, the voice rhythm and the voice definition of the voice information is acquired, at least one of the volume, the tone, the voice rhythm and the voice definition of the acquired voice information is analyzed through the voice analysis unit, the analyzed data are reserved, and interaction behavior data are generated.
As an exemplary embodiment, the acquiring of the interaction behavior data of the tested person in the interaction process includes: acquiring at least one of the time, the place, the behavior frequency, the content category corresponding to the behavior and the behavior attribute of the interactive behavior; and generating the interactive behavior data based on at least one of the time, the place, the behavior frequency, the content category corresponding to the behavior and the behavior attribute of the interactive behavior. Specifically, the behavior attribute may include specific behavior of the person to be tested, such as options of like/click-off, like/dislike, help/no help, and the like selected on the operation interface.
As an exemplary embodiment, the psychological model includes: a cognitive assessment model of depression, a cognitive assessment model of application anxiety, a cognitive assessment model of panic disorder, a cognitive assessment model of health anxiety.
Specifically, human-computer interactive applications (five-dimensional assessment) of the depression assessment model include: emotional state-low, sad: a deep, tough pain; losing interest in everything in life: irritability (especially in children and teenagers); physiological and behavioral states (emotions are physiologically relevant); appetite: no appetite VS binge eating (vagus and sympathetic- -stomach); sleeping: difficulty in falling asleep, waking up early VS, lethargy; behavior: slow behavior, slow response, fatigue; motivational status, loss of motivation (no active awareness): the current work task cannot be completed; cognitive status: feelings of worthlessness, guilt, hopelessness, or even suicide; difficulty in focusing attention: delusions and hallucinations (severe: guilt, depression, negative); hesitancy, three low symptoms: depressed mood, slow thinking, and slow speech and movement.
Human-computer interactive applications of the depressed cognitive model include: depressed mood-negative cognitive bias and symptoms such as: fatigue, inability to concentrate on mind-reduced activity-loss of pleasure or feeling of accomplishment-depressed mood; depressed mood-negative cognitive bias and symptoms such as: fatigue, inability to concentrate on mind-decreased ability to handle and solve problems-no change-hopeless enhancement-depressed mood; depressed mood-negative cognitive bias and symptoms such as: fatigue, inability to concentrate on mind-reduced activity-a more negative idea on oneself-depressed mood;
the human-computer interaction evaluation model applying the anxiety cognition mode comprises the following steps: anxiety maintains cognitive patterns: internal or external events- > perceived threat: exaggeration and/or inappropriateness-the patient is forced to protect himself from the threat-the strategy of short-term relief is taken, but does not touch the anxiety-related beliefs-the fear remains: feared beliefs have not changed-a threat is felt: exaggerated and/or inappropriate; cognitive patterns of anxiety: triggers-feeling a threat-problematic responses: cognition/behavior/physiology-fear; triggers-catastrophic prediction and attention-anxiety-avoidance-not knowing that the problem is not physiological-not challenged-fear remains: beliefs are unchanged-feeling a threat.
The human-computer interaction evaluation model of the cognitive mode of health anxiety comprises the following steps: health anxiety refers to a user's anxiety mood resulting from a catastrophic prediction of health.
Human-computer interaction assessment model of cognitive patterns of panic disorder: triggers-selective attention to catastrophic misunderstandings-anxiety-safety demand behavior-failure to recognize that a disaster has not occurred: beliefs are not reached-selective attention to catastrophic misunderstandings.
A human-computer interaction evaluation model of cognitive patterns of phobia: trigger- > anxiety anticipation- > anxiety- > safety behavior- > not realizing that the worst case will not happen, continuing to be highly alert- > the belief is not touched- > focus threat: selective attention and high alertness- > trigger- > "cycle"; triggers-anxiety anticipation-anxiety-safety behavior-not realizing that the worst case will not occur, continuing to be highly alert-belief not being reached-anxiety anticipation-circulation.
As an exemplary embodiment, structured analysis of the physiological data yields a psychological assessment result: acquiring a preset psychological evaluation standard, wherein the structure of the preset psychological evaluation standard corresponds to the psychological data structure; and performing structured analysis on the psychological data according to a structure of a preset psychological assessment standard to obtain a psychological assessment result.
Specifically, the acquired psychological data structure is corresponded according to the acquired psychological data, the result (user portrait) is output, and specialized and systematic psychological intervention is performed on different analysis results according to the data analysis result and the psychological consultation technical intervention principle.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, an optical disk) and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the methods according to the embodiments of the present application.
According to another aspect of the embodiments of the present application, there is also provided a virtual reality-based psychological assessment apparatus for implementing the virtual reality-based psychological assessment method. Fig. 3 is a schematic diagram of an alternative virtual reality-based psychological assessment apparatus according to an embodiment of the present application, as shown in fig. 3, the apparatus may include:
the first acquisition module 10 is configured to acquire first interactive data of a person to be detected, where the first interactive data includes interactive content, interactive behavior, and physiological data of the person to be detected;
a generating module 20, configured to generate a virtual interaction scene based on the first interaction data, where the virtual interaction scene is used to provide interaction content for a person to be tested;
a second obtaining module 30, configured to obtain second interaction data of the person to be detected, where the second interaction data is generated based on the virtual interaction scene;
and the analysis module 40 is configured to analyze the first interaction data and the second interaction data to obtain a psychological evaluation result of the person to be tested.
It should be noted that the first obtaining module 10 in this embodiment may be configured to perform the step S11, the generating module 20 in this embodiment may be configured to perform the step S12, the second obtaining module 30 in this embodiment may be configured to perform the step S13, and the analyzing module 40 in this embodiment may be configured to perform the step S14.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as a part of the apparatus may be operated in a hardware environment as shown in fig. 1, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.
According to still another aspect of the embodiments of the present application, there is also provided an electronic device for implementing the virtual reality-based psychological assessment method, where the electronic device may be a server, a terminal, or a combination thereof.
Fig. 4 is a block diagram of an alternative electronic device according to an embodiment of the present application, as shown in fig. 4, including a processor 402, a communication interface 404, a memory 406, and a communication bus 408, where the processor 402, the communication interface 404, and the memory 406 communicate with each other via the communication bus 408, where,
a memory 406 for storing a computer program;
the processor 402, when executing the computer program stored in the memory 406, performs the following steps:
s1, acquiring first interactive data of the person to be tested, wherein the first interactive data comprises interactive contents, interactive behaviors and physiological data of the person to be tested;
s2, generating a virtual interaction scene based on the first interaction data, wherein the virtual interaction scene is used for providing interaction content for the person to be tested;
s3, acquiring second interactive data of the person to be tested, wherein the second interactive data is generated based on the virtual interactive scene;
and S4, analyzing the first interactive data and the second interactive data to obtain a psychological assessment result of the person to be tested.
Alternatively, in this embodiment, the communication bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The memory may include RAM, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
As an example, as shown in fig. 4, the memory 406 may include, but is not limited to, the first obtaining module 10, the generating module 20, the second obtaining module 30, and the analyzing module 40 of the virtual reality-based mental assessment apparatus. In addition, other module units in the above virtual reality-based psychological assessment apparatus may also be included, but are not limited to these, and are not described in this example again.
The processor may be a general-purpose processor, and may include but is not limited to: a CPU (Central Processing Unit), an NP (Network Processor), and the like; but also a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It can be understood by those skilled in the art that the structure shown in fig. 4 is only an illustration, and the device implementing the above-mentioned method for psychological assessment based on virtual reality may be a terminal device, and the terminal device may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 4 is a diagram illustrating the structure of the electronic device. For example, the terminal device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 4, or have a different configuration than shown in FIG. 4.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
According to still another aspect of an embodiment of the present application, there is also provided a storage medium. Alternatively, in this embodiment, the storage medium may be a program code for executing a method for device screen projection.
Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:
s1, acquiring first interactive data of the person to be tested, wherein the first interactive data comprises interactive contents, interactive behaviors and physiological data of the person to be tested;
s2, generating a virtual interaction scene based on the first interaction data, wherein the virtual interaction scene is used for providing interaction content for the person to be tested;
s3, acquiring second interactive data of the person to be tested, wherein the second interactive data is generated based on the virtual interactive scene;
and S4, analyzing the first interactive data and the second interactive data to obtain a psychological assessment result of the person to be tested.
Optionally, the specific example in this embodiment may refer to the example described in the above embodiment, which is not described again in this embodiment.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a U disk, a ROM, a RAM, a removable hard disk, a magnetic disk, or an optical disk.
According to yet another aspect of an embodiment of the present application, there is also provided a computer program product or a computer program comprising computer instructions stored in a computer readable storage medium; the processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the method steps of any of the embodiments described above.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, and may also be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution provided in the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A psychological assessment method based on virtual reality is characterized by comprising the following steps:
acquiring first interactive data of a person to be detected, wherein the first interactive data comprises interactive contents, interactive behaviors and physiological data of the person to be detected;
generating a virtual interaction scene based on the first interaction data, wherein the virtual interaction scene is used for providing virtual interaction content for a person to be tested;
acquiring second interactive data of a person to be detected, wherein the second interactive data is generated based on the virtual interactive scene;
and analyzing the first interactive data and the second interactive data to obtain a psychological evaluation result of the person to be tested.
2. The virtual reality-based mental assessment method according to claim 1, wherein said generating a virtual interaction scenario based on the first interaction data comprises:
inputting the first interactive data into a psychological assessment model to obtain a preliminary assessment result;
searching virtual interaction scene information corresponding to the preliminary evaluation result based on the preliminary evaluation result;
and generating the virtual interaction scene based on the virtual interaction scene information.
3. The virtual reality-based psychological assessment method according to claim 2, wherein the preliminary assessment result comprises a plurality of sub-assessment results;
the searching for the virtual interaction scene information corresponding to the preliminary evaluation result based on the preliminary evaluation result comprises:
traversing preset sub-virtual interactive scene information to call sub-virtual interactive scene information corresponding to the sub-evaluation result; wherein the sub-virtual interactive scene information includes: at least one of video/video clips, music/music clips, a speech question bank, science knowledge explanation and behavior guidance information;
and splicing the sub-virtual interactive scene information to obtain the virtual interactive scene information.
4. The virtual reality-based mental assessment method according to claim 1, wherein said generating a virtual interaction scenario based on the first interaction data comprises:
generating an intermediate virtual interaction scene based on the first interaction data;
acquiring intermediate interaction data of the person to be detected according to the intermediate virtual interaction scene, and generating another intermediate virtual interaction scene based on the intermediate interaction data;
and repeating the step of obtaining the intermediate interaction data of the person to be detected according to the intermediate virtual interaction scene, and generating another intermediate virtual interaction scene based on the intermediate interaction data until the intermediate interaction data and/or the intermediate virtual interaction scene meet preset conditions, and taking the finally generated intermediate virtual interaction scene as the virtual interaction scene.
5. The virtual reality-based mental assessment method according to claim 4, wherein said second interaction data comprises a plurality of intermediate interaction data;
the obtaining of the psychological assessment result of the person to be tested based on the first interactive data and the second interactive data includes:
integrating the first interactive data and the plurality of intermediate interactive data to obtain evaluation interactive data;
and inputting the assessment interactive data into a psychological assessment model to obtain the assessment result.
6. The virtual reality-based mental assessment method according to claim 5, wherein said integrating the first interaction data and the plurality of intermediate interaction data into assessment interaction data comprises:
sequentially carrying out comparative analysis on the first interactive data and the intermediate interactive data according to a time sequence to obtain the variation characteristics of the interactive data in different interactive dimensions, wherein the interactive dimensions comprise interactive content dimensions, interactive behavior dimensions and physiological data dimensions;
integrating the first interaction data, the intermediate interaction data, and the change feature into the assessment interaction data.
7. The virtual reality-based psychological assessment method according to claim 5, wherein said psychological assessment model comprises: a cognitive assessment model of depression, a cognitive assessment model of application anxiety, a cognitive assessment model of panic disorder, a cognitive assessment model of health anxiety.
8. A virtual reality-based psychological assessment apparatus, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring first interactive data of a person to be detected, and the first interactive data comprises interactive contents, interactive behaviors and physiological data of the person to be detected;
the generating module is used for generating a virtual interactive scene based on the first interactive data, and the virtual interactive scene is used for providing interactive contents for the person to be tested;
the second acquisition module is used for acquiring second interactive data of the person to be detected, and the second interactive data is generated based on the virtual interactive scene;
and the analysis module is used for analyzing the first interactive data and the second interactive data to obtain a psychological evaluation result of the person to be tested.
9. A computer-readable storage medium storing computer instructions for causing a computer to perform the virtual reality based psychological assessment method of any one of claims 1-7.
10. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to cause the at least one processor to perform the virtual reality based mental assessment method of any one of claims 1-7.
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