A method, device, electronic device and storage medium for psychological dynamic intervention.

Abstract

This invention provides a method, device, electronic device, and storage medium for dynamic psychological intervention. The method includes: determining a user's risk level based on standardized scale scores, symptom tag weights, behavioral risk scores, and symptom duration factors; determining a pre-set set of intervention strategies based on psychological tags and risk levels, the pre-set set of intervention strategies including scale tools, self-help tools, psychological science popularization courses, and AI-powered therapy; after applying the pre-set set of intervention strategies to the user, obtaining the user's participation factor, improvement rate factor, and crisis factor, and adjusting the frequency of AI-powered therapy based on these factors; and updating the pre-set set of intervention strategies based on scale improvement scores, participation quality scores, tool utilization scores, and system report scores. This method can improve the effectiveness of mental health interventions.

Description

Technical Field

[0001] This invention relates to the field of mental health technology, and in particular to a method, device, electronic device, and storage medium for dynamic psychological intervention. Background Technology

[0002] With increasing societal pressures and a faster pace of life, mental health issues are becoming increasingly prominent. Traditional mental health assessments primarily rely on face-to-face diagnoses and paper-and-pencil questionnaires. These methods are not only time-consuming and costly, but also susceptible to subjective factors and make it difficult to monitor changes in a patient's mental state in real time. Existing mental health intervention programs struggle to accurately match user problems with available resources, cannot adjust content based on user feedback, and lack iteration and real-time tracking capabilities. As a result, intervention content cannot be adjusted to reflect changes in a user's mental state, leading to poor effectiveness of mental health interventions. Summary of the Invention

[0003] The purpose of this invention is to provide a method, device, electronic device, and storage medium for dynamic psychological intervention, in order to solve the technical problem of poor effectiveness of psychological health intervention in the prior art.

[0004] The technical solution of the present invention is as follows: a method for dynamic psychological intervention is provided, comprising:

[0005] Obtain users' psychological tags, standardized scale scores, symptom tag weights, behavioral risk scores, and symptom duration factors;

[0006] The user's risk level is determined based on the standardized scale score, the symptom tag weight value, the behavioral risk score, and the symptom duration factor.

[0007] A set of preset intervention strategies is determined based on the psychological labels and the risk levels. The set of preset intervention strategies includes scale tools, psychological self-help tools, psychological science popularization courses, and AI-assisted healing.

[0008] After the preset set of intervention strategies is applied to the user, the user's engagement factor, improvement rate factor, and crisis factor are obtained, and the frequency of the AI ​​chat healing is adjusted according to the engagement factor, the improvement rate factor, and the crisis factor.

[0009] After the preset set of intervention strategies is applied to the user, the scale improvement score, participation quality score, tool utilization score, and system report score are obtained. Based on the scale improvement score, participation quality score, tool utilization score, and system report score, the preset set of intervention strategies is updated.

[0010] Further, the risk level of the user is determined based on the standardized scale score, the symptom label weight value, the behavioral risk score, and the symptom duration factor, including:

[0011] The standardized scale score, the symptom label weight value, the behavioral risk score, and the symptom duration factor are weighted and summed to obtain a first comprehensive risk score, and the user's risk level is determined based on the first comprehensive risk score.

[0012] Further, a set of preset intervention strategies is determined based on the psychological labels and the risk levels, including:

[0013] Based on the psychological tags and the user's age, a set of preset intervention strategies for the corresponding user version under the psychological tags is determined, and the initial frequency of AI-assisted healing in the set of preset intervention strategies is determined based on the risk level.

[0014] Furthermore, the frequency of the AI-assisted healing chat is adjusted based on the engagement factor, the improvement rate factor, and the crisis factor, including:

[0015] The adjusted frequency of AI Healing is obtained by multiplying the participation factor, the improvement rate factor, the crisis factor, and the current frequency of AI Healing.

[0016] Furthermore, the aforementioned psychological dynamic intervention method also includes:

[0017] When the AI-assisted healing is applied to the user, the user's dialogue information is obtained; based on the dialogue information, a keyword risk score, an emotional risk score, and a behavioral risk score are determined; based on the keyword risk score, the emotional risk score, and the behavioral risk score, a second comprehensive risk score is determined; and based on the second comprehensive risk score, a preset crisis intervention strategy is determined.

[0018] Furthermore, the aforementioned psychological dynamic intervention method also includes:

[0019] When the AI-assisted healing is applied to the user, the techniques of the AI-assisted healing are adjusted according to the user's age and the degree of the psychological tags.

[0020] Further, based on the scale improvement score, the participation quality score, the tool utilization score, and the system report score, the preset intervention strategy set is updated, including:

[0021] The overall effect score is determined based on the scale improvement score, the participation quality score, the tool utilization score, and the system report score. If the overall effect score is lower than a preset threshold for a preset number of consecutive preset number of times, the preset intervention strategy set is updated.

[0022] Another technical solution of the present invention is as follows: a psychological dynamic intervention device is provided, including a data acquisition module, a risk level assessment module, an intervention strategy determination module, a frequency adjustment module, and a strategy update module;

[0023] The data acquisition module is used to acquire the user's psychological labels, standardized scale scores, symptom label weight values, behavioral risk scores, and symptom duration factors;

[0024] The risk level assessment module is used to determine the user's risk level based on the standardized scale score, the symptom tag weight value, the behavioral risk score, and the symptom duration factor.

[0025] The intervention strategy determination module is used to determine a preset set of intervention strategies based on the psychological label and the risk level. The preset set of intervention strategies includes scale tools, psychological self-help tools, psychological science popularization courses, and AI-assisted healing.

[0026] The frequency adjustment module is used to obtain the user's engagement factor, improvement rate factor, and crisis factor after the preset intervention strategy set is applied to the user, and adjust the frequency of the AI ​​chat healing according to the engagement factor, the improvement rate factor, and the crisis factor.

[0027] The strategy update module is used to obtain scale improvement scores, participation quality scores, tool utilization scores, and system report scores after the preset intervention strategy set is applied to the user, and to update the preset intervention strategy set based on the scale improvement scores, participation quality scores, tool utilization scores, and system report scores.

[0028] Another technical solution of the present invention is as follows: an electronic device is provided, including a memory and a processor. The memory stores a computer program that can be executed by the processor. When the processor executes the computer program, it implements the psychological dynamic intervention method as described in any of the above technical solutions.

[0029] Another technical solution of the present invention is as follows: a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the psychological dynamic intervention method as described in any of the above technical solutions.

[0030] The beneficial effects of this invention are as follows: It acquires a user's psychological tags, standardized scale scores, symptom tag weight values, behavioral risk scores, and symptom duration factors; determines the user's risk level based on the standardized scale scores, symptom tag weight values, behavioral risk scores, and symptom duration factors; determines a preset set of intervention strategies based on the psychological tags and risk level, the preset set of intervention strategies including scale tools, self-help psychological tools, psychological science popularization courses, and AI-assisted therapy; after applying the preset set of intervention strategies to the user, it acquires the user's participation factor, improvement rate factor, and crisis factor, and adjusts the frequency of AI-assisted therapy based on the participation factor, improvement rate factor, and crisis factor; after applying the preset set of intervention strategies to the user, it acquires scale improvement scores, participation quality scores, tool utilization scores, and system report scores, and updates the preset set of intervention strategies based on the scale improvement scores, participation quality scores, tool utilization scores, and system report scores; through the above technical solution, precise and personalized interventions for users with different risk levels can be achieved, improving the personalization of mental health interventions and thus enhancing their effectiveness. Attached Figure Description

[0031] Figure 1 This is a flowchart illustrating the psychological dynamic intervention method provided in an embodiment of the present invention.

[0032] Figure 2 This is a schematic diagram of the structure of the psychological dynamic intervention device provided in an embodiment of the present invention.

[0033] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0035] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0036] Figure 1 This is a flowchart illustrating the psychological dynamic intervention method according to an embodiment of the present invention. It should be noted that if substantially the same result is achieved, the psychological dynamic intervention method of the present invention does not necessarily follow the same approach. Figure 1 The process sequence shown is limited. Figure 1 As shown, this dynamic psychological intervention method mainly includes the following steps:

[0037] S101, obtain the user's psychological tags, standardized scale scores, symptom tag weight values, behavioral risk scores, and symptom duration factors;

[0038] In one specific embodiment, a user's psychological labels (symptom labels) may include depression, anxiety, obsessive-compulsive disorder, anger, difficulty concentrating, strained interpersonal relationships, academic pressure, lack of self-confidence, aversion to school, bullying, etc., and may also include other psychological labels, which are not limited here.

[0039] S102, determine the user's risk level based on the standardized scale score, the symptom label weight value, the behavioral risk score, and the symptom duration factor;

[0040] In some embodiments, the risk level of the user is determined based on the standardized scale score, the symptom tag weight value, the behavioral risk score, and the symptom duration factor, including:

[0041] The standardized scale score, the symptom label weight value, the behavioral risk score, and the symptom duration factor are weighted and summed to obtain a first comprehensive risk score, and the user's risk level is determined based on the first comprehensive risk score.

[0042] In one specific embodiment, the formula for calculating the first comprehensive risk score may include R = α×S + β×T + γ×B + δ×D, where R is the first comprehensive risk score, ranging from [0,1], S is the standardized scale score, which can be calculated by normalizing PHQ-9 / GAD-7 / CDI to the range of [0,1], T is the symptom label weighting value, which is related to symptoms; B is the behavioral risk score, which is related to behavioral risk; and D is the symptom duration factor. α, β, γ, and δ are all weights, and their sum is 1, for example, α=0.4, β=0.3, γ=0.2, δ=0.1. PHQ-9 refers to the Patient Health Questionnaire, CDI refers to the Childhood Depression Questionnaire, and GAD-7 refers to the Generalized Anxiety Scale.

[0043] In one specific embodiment, the symptom label weight value T = Σ(w_i × tag_i), which means that the weighted sum of the scores of each symptom label equals the symptom label weight value, where tag_i represents the i-th symptom label and w_i represents the weight corresponding to the i-th symptom label. For example, the score for depression can be set to 0.15, the score for anxiety can be set to 0.15, the score for obsessive-compulsive disorder can be set to 0.10, the score for anger can be set to 0.08, the score for difficulty concentrating can be set to 0.08, the score for interpersonal tension can be set to 0.12, the score for academic stress can be set to 0.10, the score for lack of self-confidence can be set to 0.08, the score for school aversion can be set to 0.07, and the score for bullying can be set to 0.07. The score for one or more symptom labels can be 0. The behavioral risk score can be B = 0.3 × avoidance behavior + 0.4 × crisis keywords + 0.2 × mood fluctuation + 0.1 × sleep abnormality. Duration factor D = { 0.0 (<2 weeks), 0.1 (2-4 weeks), 0.2 (1-3 months), 0.3 (>3 months)}, for example, if the duration is less than 2 weeks, then the duration factor D is 0.0.

[0044] In one specific embodiment, the risk level mapping is as follows: Level = { Level 0 (R<0.2), Level 1 (0.2≤R<0.4), Level 2 (0.4≤R<0.6), Level 3 (0.6≤R<0.8), Level 4 (R≥0.8)}. When the first comprehensive risk score R<0.2, the corresponding risk level is Level 1, indicating a good psychological state with no special intervention required; when 0.2≤R<0.4, the corresponding risk level is Level 2, indicating mild psychological stress, and psychological science popularization and mild self-help tools can be recommended; when 0.4≤R<0.6, the corresponding risk level is Level 3, indicating moderate psychological risk, and AI consultation and interactive intervention can be carried out; when 0.6≤R<0.8, the corresponding risk level is Level 4, indicating high psychological risk, and professional human psychological counseling can be carried out; when R≥0.8, the corresponding risk level is Level 5, indicating a severe psychological crisis, and immediate referral to a medical institution is recommended.

[0045] S103, determine a set of preset intervention strategies based on the psychological labels and the risk levels. The set of preset intervention strategies includes scale tools, psychological self-help tools, psychological science popularization courses, and AI-assisted healing.

[0046] In some embodiments, a pre-defined set of intervention strategies is determined based on the psychological label and the risk level, including:

[0047] Based on the psychological tags and the user's age, a set of preset intervention strategies for the corresponding user version under the psychological tags is determined, and the initial frequency of AI-assisted healing in the set of preset intervention strategies is determined based on the risk level.

[0048] In one specific embodiment, based on the weight of the user's symptom tags, a corresponding set of preset intervention strategies is selected. Each psychological tag can be matched with the set of preset intervention strategies for three user versions. For example, if the user's depression symptom tag has the highest weight and other psychological tags have lower weights, and the user's age is 10 years old, then the set of preset intervention strategies at this time is the set of preset intervention strategies for elementary school users under the depression psychological tag.

[0049] In one specific embodiment, under the "depression" psychological label, the pre-set set of intervention strategies may include scale tools, self-help tools, psychological science courses, and AI-powered healing chat. For elementary school users, the scale tools include: the Child Depression Questionnaire (CDI) pre-test and post-test; self-help tools include: Little Rabbit's Rainy Day, Echo of the Sea, Emotion Planet Adventure, Fight the Mind Monster, Emotion Adventure, I'm a Treasure Child, and See Your Strengths; psychological science courses include: Qiqi's Mood Weather Station and Positive Suggestion Transformation. AI-powered healing techniques include: gamified CBT (Cognitive Behavioral Therapy) cognitive restructuring, and emotion recognition and expression. For middle school users, the scale tools include: the Patient Health Questionnaire-9 (PHQ-9) pre-test and post-test; self-help tools include: Echo of the Sea, Emotion Planet Adventure, Fight the Mind Monster, Emotion Adventure, I'm a Treasure Child, and See Your Strengths; psychological science courses include: Let Emotions Be More Sweet and Less Salty, Where Is Your Emotional 'Control Panel'?, Why Does Your Body Also Act Up When You're in a Bad Mood? AI-powered healing techniques include: CBT cognitive restructuring, behavioral activation, and mindfulness meditation. For high school and adult users, the following questionnaire tools are available: Patient Health Questionnaire-9 (PHQ-9) pre-test and post-test; self-help psychological tools: Echo of the Sea, Emotional Planet Adventure, Fight the Mind Monster, Emotional Adventure, I Am a Treasure Child, See Your Strengths; and popular science courses on psychology: What to Do When You're Always Getting Against Yourself, and Adolescent Emotional Adventure. AI-assisted healing techniques include: Deep CBT, ACT (Acceptance and Commitment Therapy) for acceptance and commitment, and DBT (Dialectical Behavior Therapy) for emotion regulation. The initial frequency of AI-assisted healing can be determined by the risk level. Risk levels 2, 3, and 4 correspond to mild, moderate, and severe conditions, respectively. For mild cases, the initial frequency of AI-assisted healing is 1 time per week; for moderate cases, the initial frequency (F0) is 2-3 times per week, averaging 2.5 times per week; and for severe cases, the initial frequency is 4-5 times per week, averaging 4.5 times per week.

[0050] S104, after the preset set of intervention strategies is applied to the user, the user's participation factor, improvement rate factor and crisis factor are obtained, and the frequency of AI chat healing is adjusted according to the participation factor, the improvement rate factor and the crisis factor;

[0051] In some embodiments, the frequency of the AI-assisted healing chat is adjusted based on the engagement factor, the improvement rate factor, and the crisis factor, including:

[0052] The adjusted frequency of AI Healing is obtained by multiplying the participation factor, the improvement rate factor, the crisis factor, and the current frequency of AI Healing.

[0053] In one specific embodiment, the base frequency (initial frequency) configuration is: F0 = { 1 time / week (mild), 2.5 times / week (moderate), 4.5 times / week (severe)}; the adjusted frequency of AI healing is obtained by multiplying the participation factor, the improvement rate factor, the crisis factor, and the current frequency of AI healing using a dynamic adjustment formula. The dynamic adjustment formula is F = F0 × E × I × C, where F is the adjusted frequency, and the current frequency can be either the initial frequency or the adjusted frequency. The moderating factors are defined as follows: Participation factor E: { 1.2 (high participation >80%), 1.0 (normal 60-80%), 0.8 (low participation 40-60%), 0.6 (very low <40%)}; Improvement rate factor I: { 0.7 (significant improvement), 1.0 (stable improvement), 1.3 (no significant change), 1.5 (symptom worsening)}; Crisis factor C: { 3.0 (severe crisis), 2.0 (moderate risk), 1.5 (mild warning), 1.0 (no risk)}.

[0054] In some embodiments, the psychological dynamic intervention method further includes:

[0055] When the AI-assisted healing is applied to the user, the techniques of the AI-assisted healing are adjusted according to the user's age and the degree of the psychological tags.

[0056] In one specific embodiment, an evidence-based skills library architecture can be constructed, including a CBT skills library, a DBT skills library, an ACT skills library, and an SFBT (Short-Term Solution-Focused Therapy) skills library. The CBT skills library may include 126 cognitive behavioral skills, the DBT skills library may include 59 dialectical behavioral skills, the ACT skills library may include 42 acceptance and commitment skills, and the SFBT skills library may include 30 solution-focused skills. For AI-assisted therapy, an AI therapist dialogue generation model can be constructed, where Response = LLM generation(basic prompts + therapy skills (T) + user context (U) + safety constraints (L)), selected skills = argmax{technique∈skillsliding library}, and effectiveness score(skill, user state, context). The AI-powered healing techniques can be adjusted based on the user's age and the severity of their psychological tags. For example, for users with a depression tag, the AI-powered healing techniques can use simple and easy-to-understand language, with content often incorporating metaphors and stories; for users aged 13-17, the AI-powered healing techniques can adopt an equal dialogue tone, focusing on academic and interpersonal stress; for users aged 18 and above, the AI-powered healing techniques can use professional but friendly expressions, focusing on workplace and life stress; when the depression level is mild (PHQ≤9), the AI-powered healing techniques can include positive encouragement, providing hope and motivation; when the depression level is moderate (10≤PHQ≤14), the AI-powered healing techniques can include gentle support, avoiding overly positive expressions; when the depression level is severe (PHQ≥15), the AI-powered healing techniques can include extreme caution, focusing on safety and stability.

[0057] In some embodiments, the psychological dynamic intervention method further includes:

[0058] When the AI-assisted healing is applied to the user, the user's dialogue information is obtained; based on the dialogue information, a keyword risk score, an emotional risk score, and a behavioral risk score are determined; based on the keyword risk score, the emotional risk score, and the behavioral risk score, a second comprehensive risk score is determined; and based on the second comprehensive risk score, a preset crisis intervention strategy is determined.

[0059] In one specific embodiment, the keyword risk score = Σ(w_i × keyword severity_i), the emotional risk score = negative emotion intensity × despair level × duration, and the behavioral risk score = f(avoidance mode, completion decline, crisis signal), which means that the behavioral risk score is equal to the weighted sum of the avoidance mode score, the completion decline score, and the crisis signal score. The avoidance mode score is related to the user's avoidance behavior, the completion decline score is related to the user's decline in completion rate, and the crisis signal score is related to the crisis situation of the dialogue information. The second comprehensive risk score = α × keyword risk + β × emotional risk + γ × behavioral risk, where keyword severity_i is the severity of the i-th keyword, and w_i is the weight of the i-th keyword. If the second comprehensive risk score is >0.8, the pre-set crisis intervention strategy may include immediate human intervention and medical referral; if the second comprehensive risk score is in the range of 0.6-0.8, the pre-set crisis intervention strategy may include enhanced monitoring and professional consultation; if the second comprehensive risk score is in the range of 0.4-0.6, the pre-set crisis intervention strategy may include enhanced support and close monitoring; if the second comprehensive risk score is ≤0.4, the pre-set crisis intervention strategy includes routine intervention, and intervention can be carried out using the pre-set set of intervention strategies.

[0060] S105, after the preset intervention strategy set is applied to the user, obtain the scale improvement score, participation quality score, tool utilization score and system report score, and update the preset intervention strategy set according to the scale improvement score, participation quality score, tool utilization score and system report score.

[0061] In some embodiments, the preset set of intervention strategies is updated based on the scale improvement score, the participation quality score, the tool utilization score, and the system report score, including:

[0062] The overall effect score is determined based on the scale improvement score, the participation quality score, the tool utilization score, and the system report score. If the overall effect score is lower than a preset threshold for a preset number of consecutive preset number of times, the preset intervention strategy set is updated.

[0063] In one specific embodiment, the overall effectiveness score = w1 × scale improvement score + w2 × participation quality score + w3 × tool utilization score + w4 × system report score, where w1, w2, w3, and w4 are weights, and their sum is 1. The scale improvement score can be obtained through pre-test and post-test of the Patient Health Questionnaire-9 (PHQ-9). The participation quality score can be determined through participation behavior data. The tool utilization score can be determined through tool usage records. The system report score can be determined through feedback evaluation records. Among them, the tool usage records include the frequency of use, completion status, and dwell time of various self-help tools; the participation behavior data includes login mode, active periods, interruption behavior, and repeated use mode; the feedback evaluation records include tool scores, self-assessment of improvement, satisfaction feedback, and suggestions. If the overall effectiveness score is lower than a preset threshold for a preset number of consecutive days, the preset intervention strategy set is updated. For example, if the overall effectiveness score is obtained once a day and is lower than the preset threshold for 7 consecutive days, the preset intervention strategy set is updated.

[0064] The psychological dynamic intervention method provided in this invention obtains a user's psychological tags, standardized scale scores, symptom tag weight values, behavioral risk scores, and symptom duration factors; determines the user's risk level based on the standardized scale scores, symptom tag weight values, behavioral risk scores, and symptom duration factors; determines a preset intervention strategy set based on the psychological tags and risk level, the preset intervention strategy set including scale tools, psychological self-help tools, psychological science popularization courses, and AI-assisted therapy; after applying the preset intervention strategy set to the user, obtains the user's participation factor, improvement rate factor, and crisis factor, and adjusts the frequency of AI-assisted therapy based on the participation factor, improvement rate factor, and crisis factor; after applying the preset intervention strategy set to the user, obtains scale improvement scores, participation quality scores, tool utilization scores, and system report scores, and updates the preset intervention strategy set based on the scale improvement scores, participation quality scores, tool utilization scores, and system report scores; this method can achieve precise and personalized intervention for users with different risk levels, improve the personalization of mental health intervention, and thus improve the effectiveness of mental health intervention.

[0065] The psychological dynamic intervention method provided in this invention can achieve precise and personalized intervention for users with different risk levels. It has functions such as intelligent matching, dynamic adjustment, safety assurance and effect tracking, which significantly improves the personalization, safety and effectiveness of mental health intervention and provides a complete technical solution for the large-scale application of digital psychotherapy.

[0066] Based on the above-mentioned dynamic psychological intervention method, this invention provides a dynamic psychological intervention device, the structural schematic diagram of which is shown below. Figure 2 As shown, the psychological dynamic intervention device 20 includes a data acquisition module 21, a risk level assessment module 22, an intervention strategy determination module 23, a frequency adjustment module 24, and a strategy update module 25;

[0067] The data acquisition module 21 is used to acquire the user's psychological labels, standardized scale scores, symptom label weight values, behavioral risk scores, and symptom duration factors.

[0068] The risk level assessment module 22 is used to determine the user's risk level based on the standardized scale score, the symptom tag weight value, the behavioral risk score, and the symptom duration factor.

[0069] The intervention strategy determination module 23 is used to determine a preset set of intervention strategies based on the psychological label and the risk level. The preset set of intervention strategies includes scale tools, psychological self-help tools, psychological science popularization courses, and AI-assisted healing.

[0070] The frequency adjustment module 24 is used to obtain the user's participation factor, improvement rate factor and crisis factor after the preset intervention strategy set is applied to the user, and adjust the frequency of the AI ​​chat healing according to the participation factor, the improvement rate factor and the crisis factor;

[0071] The strategy update module 25 is used to obtain the scale improvement score, participation quality score, tool utilization score and system report score after the preset intervention strategy set is applied to the user, and update the preset intervention strategy set according to the scale improvement score, participation quality score, tool utilization score and system report score.

[0072] For other details regarding the implementation of the above-mentioned technical solutions by each module in the above-mentioned psychological dynamic intervention device, please refer to the description of the psychological dynamic intervention method provided in the above-mentioned embodiments of the invention, which will not be repeated here.

[0073] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Figure 3 As shown, the electronic device 30 includes a processor 31 and a memory 32 communicatively connected to the processor 31.

[0074] The memory 32 stores program instructions for implementing the psychological dynamic intervention method of any of the above embodiments.

[0075] The processor 31 is used to execute program instructions stored in the memory 32 for psychological dynamic intervention.

[0076] The processor 31 can also be referred to as a CPU (Central Processing Unit). The processor 31 may be an integrated circuit chip with signal processing capabilities. The processor 31 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor.

[0077] This invention provides a computer-readable storage medium that stores program instructions capable of implementing all the methods described above. The storage medium can be non-volatile or volatile. These program instructions can be stored in the storage medium as a software product and include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or terminal devices such as computers, servers, mobile phones, and tablets.

[0078] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0079] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. The above are merely embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

[0080] The above description is merely an embodiment of the present invention. It should be noted that those skilled in the art can make improvements without departing from the inventive concept of the present invention, but these improvements all fall within the protection scope of the present invention.

Claims

1. A method for dynamic psychological intervention, characterized in that, include: The system obtains the user's psychological tags, standardized scale scores, symptom tag weight values, behavioral risk scores, and symptom duration factors, wherein the symptom tag weight values ​​are the weighted sum of multiple symptom tag scores; The user's risk level is determined based on the standardized scale score, the symptom tag weight value, the behavioral risk score, and the symptom duration factor. A set of preset intervention strategies is determined based on the psychological tags and the risk level. The set of preset intervention strategies includes scale tools, psychological self-help tools, psychological science popularization courses, and AI-assisted healing. The process of determining the set of preset intervention strategies based on the psychological tags and the risk level includes determining a set of preset intervention strategies for the user's age under the psychological tags based on the psychological tags and the user's age, and determining the initial frequency of AI-assisted healing in the set of preset intervention strategies based on the risk level. After the preset set of intervention strategies is applied to the user, the user's engagement factor, improvement rate factor, and crisis factor are obtained, and the frequency of the AI ​​chat healing is adjusted according to the engagement factor, the improvement rate factor, and the crisis factor. After the preset intervention strategy set is applied to the user, the scale improvement score, participation quality score, tool utilization score, and system report score are obtained. Based on the scale improvement score, participation quality score, tool utilization score, and system report score, the preset intervention strategy set is updated. The scale improvement score is determined through pre-test and post-test of the patient health questionnaire, the participation quality score is determined through participation behavior data, the tool utilization score is determined through tool usage records, and the system report score is determined through feedback evaluation records.

2. The psychological dynamic intervention method according to claim 1, characterized in that, The user's risk level is determined based on the standardized scale score, the symptom label weight value, the behavioral risk score, and the symptom duration factor, including: The standardized scale score, the symptom label weight value, the behavioral risk score, and the symptom duration factor are weighted and summed to obtain a first comprehensive risk score, and the user's risk level is determined based on the first comprehensive risk score.

3. The psychological dynamic intervention method according to claim 1, characterized in that, The frequency of AI-assisted healing is adjusted based on the engagement factor, the improvement rate factor, and the crisis factor, including: The adjusted frequency of AI Healing is obtained by multiplying the participation factor, the improvement rate factor, the crisis factor, and the current frequency of AI Healing.

4. The psychological dynamic intervention method according to claim 1, characterized in that, The aforementioned dynamic psychological intervention methods also include: When the AI-assisted healing is applied to the user, the user's dialogue information is obtained; based on the dialogue information, a keyword risk score, an emotional risk score, and a behavioral risk score are determined; based on the keyword risk score, the emotional risk score, and the behavioral risk score, a second comprehensive risk score is determined; and based on the second comprehensive risk score, a preset crisis intervention strategy is determined.

5. The psychological dynamic intervention method according to claim 1, characterized in that, The aforementioned dynamic psychological intervention methods also include: When the AI-assisted healing is applied to the user, the techniques of the AI-assisted healing are adjusted according to the user's age and the degree of the psychological tags.

6. The psychological dynamic intervention method according to claim 1, characterized in that, Based on the scale improvement score, the participation quality score, the tool utilization score, and the system report score, update the preset intervention strategy set, including: The overall effect score is determined based on the scale improvement score, the participation quality score, the tool utilization score, and the system report score. If the overall effect score is lower than a preset threshold for a preset number of consecutive preset number of times, the preset intervention strategy set is updated.

7. A psychological dynamic intervention device, characterized in that, It includes a data acquisition module, a risk level assessment module, an intervention strategy determination module, a frequency adjustment module, and a strategy update module; The data acquisition module is used to acquire the user's psychological labels, standardized scale scores, symptom label weight values, behavioral risk scores, and symptom duration factors. The symptom label weight values ​​are the weighted sum of multiple symptom label scores. The risk level assessment module is used to determine the user's risk level based on the standardized scale score, the symptom tag weight value, the behavioral risk score, and the symptom duration factor. The intervention strategy determination module is used to determine a preset intervention strategy set based on the psychological label and the risk level. The preset intervention strategy set includes scale tools, psychological self-help tools, psychological science popularization courses, and AI-assisted healing. The step of determining the preset intervention strategy set based on the psychological label and the risk level includes determining a preset intervention strategy set corresponding to the user's age under the psychological label based on the psychological label and the user's age, and determining the initial frequency of the AI-assisted healing in the preset intervention strategy set based on the risk level. The frequency adjustment module is used to obtain the user's engagement factor, improvement rate factor, and crisis factor after the preset intervention strategy set is applied to the user, and adjust the frequency of the AI ​​chat healing according to the engagement factor, the improvement rate factor, and the crisis factor. The strategy update module is used to obtain scale improvement scores, participation quality scores, tool utilization scores, and system report scores after the preset intervention strategy set is applied to the user, and to update the preset intervention strategy set based on the scale improvement scores, participation quality scores, tool utilization scores, and system report scores. The scale improvement scores are determined through pre-test and post-test of the patient health questionnaire, the participation quality scores are determined through participation behavior data, the tool utilization scores are determined through tool usage records, and the system report scores are determined through feedback evaluation records.

8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program executable by the processor, characterized in that, When the processor executes the computer program, it implements the psychological dynamic intervention method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the psychological dynamic intervention method as described in any one of claims 1 to 6.

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