Intelligent psychological state interpretation and scheme pushing method and device, equipment and medium

Abstract

The invention discloses an intelligent psychological state interpretation and scheme pushing method and device, equipment and a medium, and the method comprises the steps that an automatic emotion recognition system obtains psychological description information, and analyzes the psychological description information to obtain a target psychological problem; an evaluation questionnaire matched with the target psychological question is pushed, and an interpretation report is generated according to an evaluation result fed back by the evaluation questionnaire; and pushing a matched psychological adjustment scheme according to the interpretation report and the historical behavior data. According to the technical scheme provided by the embodiment of the invention, an online consultation platform for realizing psychological interpretation and scheme pushing functions can be provided, the accuracy of a psychological problem recognition result of a user is improved, a personalized and highly targeted psychological problem solution is provided for the user, and the intelligence of a psychological state interpretation method is realized.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to intelligent psychological state interpretation and solution push methods, devices, equipment and media. Background Art

[0002] In recent years, with the development of Internet technology, the demand for online medical services has increased significantly, and more and more patients are turning to online consultation platforms to obtain medical advice and treatment without having to go to hospitals or clinics in person.

[0003] However, existing online consultation platforms often lack intelligent and accurate psychological adjustment functions for patients. For example, in daily life, people often encounter stressful events or discomfort, which often trigger emotional reactions. However, when facing these emotions, most people may only vaguely perceive that they "feel bad", but find it difficult to accurately identify and describe their emotional state. This ambiguity in emotion recognition may cause people to be unable to accurately express their needs and problems when seeking help or solving problems through online consultation platforms. Summary of the invention

[0004] The present invention provides an intelligent psychological state interpretation and solution push method, device, equipment and medium, and provides an online consulting platform for realizing the psychological interpretation and solution push functions, which can improve the accuracy of the user's psychological problem identification results, provide users with personalized and targeted psychological problem solutions, and realize the intelligence of the psychological state interpretation method.

[0005] According to one aspect of the present invention, there is provided an intelligent psychological state interpretation and solution push method, which is applied to an automatic emotion recognition system, and the method comprises:

[0006] Acquire psychological description information, analyze the psychological description information, and obtain target psychological problems;

[0007] Push the assessment questionnaire that matches the target psychological problem, and generate an interpretation report based on the assessment results fed back from the assessment questionnaire;

[0008] Based on the interpretation report and historical behavioral data, a matching psychological adjustment plan is pushed.

[0009] Optionally, the psychological description information is analyzed to obtain target psychological problems, including:

[0010] Using a semantic recognition algorithm and preset keywords, identifying target keywords included in the psychological description information;

[0011] The target psychological problem is determined according to the number, frequency of occurrence and context of the target keywords in the psychological description information.

[0012] Optionally, after pushing the matching psychological adjustment plan, it also includes:

[0013] Obtaining execution information corresponding to the psychological adjustment plan through an automated emotion recognition system;

[0014] The psychological adjustment program is adjusted according to the execution information, and the adjusted psychological adjustment program is pushed again.

[0015] Optionally, after the adjusted psychological adjustment plan is re-sent, it also includes:

[0016] If the target psychological problem is not solved, the target questionnaire is pushed through the automated emotion recognition system;

[0017] Determining whether medical intervention is needed based on the completion information corresponding to the target questionnaire;

[0018] If so, medical advice will be given.

[0019] Optionally, after pushing the matching psychological adjustment plan, it also includes:

[0020] Push different psychological questionnaires corresponding to different psychological dimensions;

[0021] Determining target scores based on the completion information of different psychological questionnaires, and determining psychological status assessment results based on the target scores;

[0022] Psychological advice is delivered based on the psychological state assessment results.

[0023] Optionally, determining a target score based on the completion information of the different psychological questionnaires includes:

[0024] According to the completion information of different psychological questionnaires, the original scores of different psychological questionnaires are determined;

[0025] According to the different weights corresponding to the different preset psychological dimensions, each of the original scores is weighted, and the weighted results are standardized to obtain the target score.

[0026] Optionally, the historical behavior data includes historical questionnaire data completed by the automated emotion recognition system, and historical adaptation plans completed by the automated emotion recognition system.

[0027] According to another aspect of the present invention, there is provided an intelligent psychological state interpretation and solution push device, which is applied in an automatic emotion recognition system and comprises:

[0028] A problem analysis module is used to obtain psychological description information, analyze the psychological description information, and obtain target psychological problems;

[0029] A report generation module is used to push an evaluation questionnaire that matches the target psychological problem and generate an interpretation report based on the evaluation results fed back by the evaluation questionnaire;

[0030] The solution push module is used to push a matching psychological adjustment solution based on the interpretation report and historical behavior data.

[0031] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0032] at least one processor; and

[0033] a memory communicatively connected to the at least one processor; wherein,

[0034] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the intelligent psychological state interpretation and solution push method described in any embodiment of the present invention.

[0035] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the intelligent psychological state interpretation and solution push method described in any embodiment of the present invention when executed.

[0036] The technical solution provided by the embodiment of the present invention obtains psychological description information, analyzes the psychological description information, obtains target psychological problems, pushes evaluation questionnaires matching the target psychological problems, generates an interpretation report based on the evaluation results fed back by the evaluation questionnaire, and pushes matching psychological adjustment plans based on the interpretation report and historical behavior data. An online consulting platform for realizing psychological interpretation and plan push functions is provided, which can improve the accuracy of user psychological problem identification results, provide users with personalized and targeted psychological problem solutions, and realize the intelligence of psychological state interpretation methods.

[0037] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0039] Figure 1 is a flow chart of an intelligent psychological state interpretation and solution push method provided according to an embodiment of the present invention;

[0040] Figure 2 is a flow chart of another intelligent psychological state interpretation and solution push method provided according to an embodiment of the present invention;

[0041] Figure 3 is a flow chart of another intelligent psychological state interpretation and solution push method provided according to an embodiment of the present invention;

[0042] Figure 4 It is a structural schematic diagram of an intelligent psychological state interpretation and solution push device provided according to an embodiment of the present invention;

[0043] Figure 5 It is a structural schematic diagram of an electronic device that implements the intelligent psychological state interpretation and solution push method of an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0045] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0046] Figure 1 This is a flow chart of an intelligent psychological state interpretation and solution push method provided by an embodiment of the present invention. This embodiment can be applied to the situation where an automated emotion recognition system intelligently interprets a user's psychological state. This method can be executed by an intelligent psychological state interpretation and solution push device. The intelligent psychological state interpretation and solution push device can be implemented in the form of hardware and / or software. The intelligent psychological state interpretation and solution push device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0047] Step 110: Obtain psychological description information, analyze the psychological description information, and obtain target psychological problems.

[0048] In this embodiment, the user can input psychological description information, including the user's recent uncomfortable experience information, through the automated emotion recognition system. Optionally, after the automated emotion recognition system obtains the psychological description information input by the user, it can use natural language processing (NLP) technology to perform intelligent corpus analysis on the psychological description information, identify the emotional state that the user may not be aware of or difficult to express, and obtain the primary psychological problems (i.e., target psychological problems) that need to be solved urgently that match the user, such as "stress", "insomnia", "anxiety", "depression", etc.

[0049] Step 120: Push an assessment questionnaire that matches the target psychological problem, and generate an interpretation report based on the assessment results fed back from the assessment questionnaire.

[0050] In this embodiment, after determining the target psychological problem that matches the user, the preset evaluation questionnaire corresponding to the target psychological problem can be pushed to the user through a visual interface so that the user can complete the evaluation for the target psychological problem, and then an interpretation report corresponding to the user is generated based on the evaluation results fed back by the user on the evaluation questionnaire.

[0051] Among them, the evaluation questionnaire is intended to collect more details about the user's psychological experience, and the interpretation report is used to characterize the severity of the user's target psychological problems.

[0052] Step 130: Push a matching psychological adjustment plan based on the interpretation report and historical behavior data.

[0053] In this embodiment, the automated emotion recognition system can obtain the user's historical behavior data (including historical questionnaire data completed by the automated emotion recognition system and historical adjustment plans completed by the automated emotion recognition system) by asking questions to the user, and then automatically push a matching psychological adjustment plan to the user based on the interpretation report and historical behavior data.

[0054] In a specific embodiment, taking stress and emotional problems (anxiety, depression) as an example, the user can input the specific experience of recent discomfort through the automated emotion recognition system. The automated emotion recognition system can perform intelligent corpus analysis on the experience to obtain the target psychological problem (such as stress, anxiety or depression), and then push the evaluation questionnaire corresponding to the target psychological problem to the user, and generate an interpretation report based on the evaluation results fed back by the user. Finally, based on the user's historical behavior data and the interpretation report, the corresponding solution is pushed to the user.

[0055] In another specific embodiment, taking insomnia as an example, the automated emotion recognition system can obtain information input by the user on whether the user has sleep problems caused by drug side effects or physical discomfort, and analyze whether the user is willing to invest time in in-depth sleep problem solving based on the sleep problem information, and then perform intelligent corpus analysis on the results of user feedback to obtain the user's corresponding target psychological problem (such as difficulty falling asleep, sleep maintenance problems, or poor sleep quality, etc.), and push the evaluation questionnaire corresponding to the target psychological problem to the user, generate an interpretation report based on the evaluation results fed back by the user, and finally push the corresponding solution to the user based on the user's historical behavior data and the interpretation report.

[0056] The technical solution provided by the embodiment of the present invention obtains psychological description information, analyzes the psychological description information, obtains target psychological problems, pushes evaluation questionnaires matching the target psychological problems, generates an interpretation report based on the evaluation results fed back by the evaluation questionnaire, and pushes matching psychological adjustment plans based on the interpretation report and historical behavior data. An online consulting platform for realizing the functions of psychological interpretation and plan push is provided. By adopting a machine learning algorithm to identify user input information, the accuracy of the user's psychological problem identification results can be improved, and personalized and targeted psychological problem solutions can be provided to users, thereby realizing the intelligence of the psychological state interpretation method.

[0057] Figure 2 A flowchart of another intelligent psychological state interpretation and solution push method provided by an embodiment of the present invention, such as Figure 2 As shown, the method includes:

[0058] Step 210: Acquire psychological description information, and use a semantic recognition algorithm and preset keywords to identify target keywords included in the psychological description information.

[0059] In this embodiment, optionally, before obtaining the psychological description information input by the user, keywords corresponding to different psychological problems may be pre-set to identify the user's expressions related to anxiety and depression.

[0060] Step 220: Determine the target psychological problem based on the number, frequency of occurrence and context of the target keywords in the psychological description information.

[0061] In this embodiment, the automated emotion recognition system can detect the number of target keywords in the user's psychological description information, and intelligently determine whether the user's target psychological problem is anxiety or depression based on the frequency and context of these keywords.

[0062] For example, if a user mentions anxiety-related words such as “nervous,” “worried,” or “panic” multiple times, the system will identify anxiety as the user’s target psychological problem.

[0063] In this embodiment, optionally, after determining the target psychological problem that matches the user, the automated emotion recognition system can guide the user to describe in detail a specific experience of a bad mood. In this process, the system will further analyze the problems that the user may face based on the user's description method and the corpus used. For example, if the user shows a loss of control over emotions or lacks effective coping strategies in the description, the system will recognize that the user may need support in self-regulation ability.

[0064] In a specific embodiment, the automated emotion recognition system pre-sets corpus materials related to personality judgment, corpus materials related to stress sources, and corpus materials related to insufficient self-adjustment ability to identify keywords in the user's psychological description information.

[0065] The advantage of this setting is that by pre-setting keywords of different psychological dimensions, the automated emotion recognition system can comprehensively and effectively identify the user's corresponding target psychological problems, thereby improving the accuracy of the user's psychological problem identification results.

[0066] Step 230: Push an assessment questionnaire that matches the target psychological problem, and generate an interpretation report based on the assessment results fed back from the assessment questionnaire.

[0067] Step 240: Push a matching psychological adjustment plan based on the interpretation report and historical behavior data.

[0068] Step 250: Obtain execution information corresponding to the psychological adjustment plan through an automated emotion recognition system.

[0069] Step 260: Adjust the psychological adjustment plan according to the execution information, and push the adjusted psychological adjustment plan again.

[0070] In one implementation of this embodiment, after the adjusted psychological adjustment plan is re-pushed, it also includes: if the target psychological problem is not solved, pushing the target questionnaire through the automated emotion recognition system; judging whether medical intervention is required based on the completion information corresponding to the target questionnaire; and if so, pushing medical consultation advice.

[0071] In a specific embodiment, taking insomnia as an example, after user A logs into the automated emotion recognition system, the system can first guide user A to describe recent insomnia problems (e.g., difficulty falling asleep at night in recent weeks, often tossing and turning in bed for more than an hour), and then obtain user A's previous use records of the automated emotion recognition system, and find that user A has tried some relaxation techniques before, but the effect is limited. At the same time, the user also shows a strong willingness to improve sleep quality. In this case, the description information of user A and previous behavior data can be analyzed to automatically generate a sleep improvement plan, and the sleep improvement plan is pushed to user A, with detailed instructions and suggestions. Optionally, the plan may include: deep breathing exercises and progressive muscle relaxation before going to bed, adjusting the sleeping environment, such as reducing noise and light, maintaining a suitable room temperature, and establishing a fixed sleep schedule to ensure that you go to bed and get up at the same time every day.

[0072] After user A executes the sleep improvement plan, the execution information (including the sleep improvement results) can be fed back to the automated emotion recognition system. If the sleep improvement results are still not ideal, the automated emotion recognition system can adjust the sleep improvement plan based on user A's execution information (for example, adding elements of cognitive behavioral therapy) and push the adjusted sleep improvement plan back to user A.

[0073] After that, the system can continue to monitor user A's sleep patterns and provide continuous support, such as regular reminders to execute the plan and further suggestions for improvement. If user A's insomnia problem is still not effectively solved, the system may guide user A to complete a more in-depth sleep questionnaire to identify more specific problems, such as sleep maintenance problems or early awakening. Based on the questionnaire results, if the system determines that user A may need professional medical intervention, it is recommended that user A consult a doctor or sleep expert.

[0074] In another specific embodiment, taking emotional problems as an example, after user B logs into the automated emotion recognition system, he can describe his recent emotional problems of anxiety and depression (e.g., he is under great work pressure and often feels helpless and frustrated). The system can identify that user B's emotional problems may be related to work pressure by intelligently analyzing the description information, and push the corresponding evaluation questionnaire to user B to gain a deeper understanding of user B's emotional state and possible sources of stress. After user B completes the evaluation questionnaire, the system can generate an interpretation report based on the evaluation results, pointing out the cognitive bias and emotional regulation disorder that user B may have, and then push an emotional management plan that combines short-term and long-term solutions to user B in combination with user B's historical behavior data. Among them, short-term solutions include deep breathing exercises, mindfulness meditation, and emotional release exercises, and long-term solutions include time management and stress coping strategies, as well as elements of cognitive behavioral therapy.

[0075] User B starts to implement the emotion management plan and provides execution information through the system one week later (including emotion management results, such as breathing and meditation helped him relieve some of his anxiety, but he was still confused about the long-term management of work stress). The system can adjust the emotion management plan based on user B's feedback (such as adding strategies for work-life balance) and push the adjusted emotion management plan back to the user.

[0076] After this, the system continues to provide ongoing support to User B, including regular mood checks and further resource recommendations. If User B's emotional problems persist or worsen, the system will recommend that User B seek professional mental health services or consult a doctor.

[0077] The technical solution provided by the embodiment of the present invention obtains psychological description information, adopts a semantic recognition algorithm and preset keywords, identifies target keywords included in the psychological description information, determines the target psychological problem according to the number, frequency of occurrence and context of the target keywords in the psychological description information, pushes an evaluation questionnaire matching the target psychological problem, generates an interpretation report according to the evaluation results fed back by the evaluation questionnaire, pushes a matching psychological adjustment plan according to the interpretation report and historical behavior data, obtains execution information corresponding to the psychological adjustment plan through an automated emotion recognition system, adjusts the psychological adjustment plan according to the execution information, and re-pushes the adjusted psychological adjustment plan. The technical means provides an online consulting platform for realizing psychological interpretation and plan push functions, which can improve the accuracy of user psychological problem recognition results, provide users with personalized and targeted psychological problem solutions, and realize the intelligence of psychological state interpretation methods.

[0078] Figure 3A flowchart of another intelligent psychological state interpretation and solution push method provided by an embodiment of the present invention, such as Figure 3 As shown, the method includes:

[0079] Step 310: Obtain psychological description information, analyze the psychological description information, and obtain target psychological problems.

[0080] Step 320: Push an assessment questionnaire that matches the target psychological problem, and generate an interpretation report based on the assessment results fed back from the assessment questionnaire.

[0081] Step 330: Push a matching psychological adjustment plan based on the interpretation report and historical behavior data.

[0082] Step 340: Push different psychological questionnaires corresponding to different psychological dimensions.

[0083] In this embodiment, optionally, the automated emotion recognition system may push psychological questionnaires corresponding to the personality dimension, mood dimension, stress dimension, and self-efficacy dimension, respectively, to the user.

[0084] Step 350: Determine a target score based on the completion information of different psychological questionnaires, and determine a psychological state assessment result based on the target score.

[0085] In one implementation of the present embodiment, a target score is determined based on the completion information of different psychological questionnaires, including: determining the original scores of the different psychological questionnaires based on the completion information of the different psychological questionnaires; weighting each of the original scores according to different weights corresponding to different preset psychological dimensions, and standardizing the weighted results to obtain the target score.

[0086] In a specific embodiment, the weight is used to reflect the degree of influence of each psychological dimension on the overall psychological state of the user. The scores of neuroticism and psychoticism in the personality dimension have a negative impact on the overall psychological state, with a neuroticism weight of 0.2 (the weight is 0.5 after exceeding the threshold) and a psychoticism weight of 0.1 (the weight is 0.3 after exceeding the threshold); the score of the mood problem in the mood dimension reduces the overall psychological state, and the weight of the mood problem is 0.2 (the weight is 0.4 after exceeding the threshold); the score of the stress problem in the stress dimension reduces the overall psychological state, and the weight of the stress problem is 0.3; the score of the self-efficacy level in the self-efficacy dimension improves the overall psychological state, and the weight of the self-efficacy is 0.6. The formula for standardization is as follows:

[0087]

[0088] Assuming that a user's original scores for the psychological questionnaire are: neuroticism score 70, psychoticism score 60, mood problem score 50, stress problem score 40, self-efficacy score 80, then the corresponding weighted score of the user is:

[0089] Weighted score = (70×(-0.5))+(60×(-0.3))+(50×(-0.4))+(40×(-0.3))+(80×0.6)

[0090] =(-35)+(-18)+(-20)+(-12)+48

[0091] =-37

[0092] Assuming the minimum possible score is 100 (all negative impact factors have the highest score and positive impact factors have the lowest score) and the maximum possible score is 100 (all positive impact factors have the highest score and negative impact factors have the lowest score), the weighted scores can be standardized using the following formula to obtain the target score:

[0093]

[0094] In this embodiment, the mapping relationship between different score intervals and different psychological state assessment results can be pre-set. For example, when the target score is [0, 33], it corresponds to a low psychological state, when the target score is [34, 66], it corresponds to a medium psychological state, and when the target score is [67, 100], it corresponds to a high psychological state.

[0095] Step 360: Push psychological advice based on the psychological status assessment results.

[0096] In this step, specifically, taking the original score completed by the user for the psychological questionnaire as an example, assuming that the target score is 31.5, it can be determined that the psychological state is at a low level, and the system can push the following psychological suggestions to the user: Your current mental state is at a low level, and you may need to pay attention to and improve your neuroticism and psychoticism problems; Your mood and stress level also have a negative impact on your mental state, and it is recommended that you find effective stress management techniques and emotion regulation methods; Despite this, your self-efficacy level is high, which is a good positive factor, and it is recommended that you continue to cultivate self-efficacy, which may help improve your overall mental state; Consider seeking professional mental health services for more in-depth assessments and personalized support.

[0097] Based on the above embodiments, this embodiment provides a preferred implementation of an intelligent psychological state interpretation and solution push method, which is executed by an automated emotion recognition system and includes:

[0098] Taking stress as an example, it is possible to determine whether there are any stress questionnaire conclusions in the user's behavior records within two weeks. If so, the user will be informed of the specific stress level (such as mild, moderate or severe stress, etc.) and asked whether the user is in line with the current situation; if not, the Perceived Stress Scale Short Form (PSS-10) will be pushed to the user and the conclusion will be calculated;

[0099] Then, the users were asked to review which of the following situations had affected their lives in the past two weeks: for example, (1) low mood or persistent sadness, (2) loss of interest in daily activities, (3) feeling tired and lacking energy, (4) having unnecessary worries about the present or the future, (5) feeling persistent tension or anxiety, (6) sometimes feeling panic, palpitations or difficulty breathing, (7) having difficulty falling asleep or having difficulty staying asleep after waking up, (8) having sleep interrupted more than twice, (9) poor sleep quality, (10) stressful events in life, (11) stressful events at work, (12) being able to feel persistent stress, etc.

[0100] If the user selects the above items (1)-(3), one point is scored for each item and marked in the depression item; if the user selects the above items (4)-(6), one point is scored for each item and marked in the anxiety item; if the user selects the above items (7)-(9), one point is scored for each item and marked in the insomnia item; if the user selects the above items (10)-(12), one point is scored for each item and marked in the stress item. The above scores are then calculated to obtain the user's primary problem, such as none, mild-moderate stress problem, or severe stress problem.

[0101] If the user's primary problem is none, it can be considered that the user's evaluation results show that the stress state is good. Since stress perception is a very subjective experience, even if the evaluation result is no stress, it does not mean that the user's feelings are wrong. If this feeling persists and affects the user's normal life, the system can recommend the following solutions to the user to stay away from this feeling: daily stress relief solutions, exercise-relaxing and decompression exercises, etc.

[0102] If the user's primary problem is mild to moderate stress, the following solutions can be recommended based on the user's stress status: calling stress solutions generated by preset stress management rules, stress education solutions, stress relief products, exercise-relaxing and decompression exercises, etc. Since long-term stress can also lead to emotional and sleep problems, on this basis, the system can also ask users some questions to better understand user needs and provide more accurate suggestions and help, such as recommending healthy lifestyles (such as diet, exercise, sleep plans, etc.), learning relaxation techniques (meditation, reading, music, art creation, etc.), new hobbies, professional help (such as psychological counselors), etc.

[0103] If the user's primary problem is severe stress, the report can prompt the user that the stress level has been too high recently. It is recommended that the user seek consultation with a professional psychologist or psychologist as soon as possible and develop a stress relief plan that suits him or her based on professional advice. At the same time, the following plans can also be recommended to the user: calling on stress solutions generated by preset stress management rules, stress education plans, stress relief products, exercise-comfortable stress-relieving exercises, etc.

[0104] In a specific implementation, taking insomnia as an example, it is possible to determine whether there is an insomnia questionnaire conclusion in the past two weeks in the user's behavior record. If yes, the user is informed of the specific degree of insomnia (such as mild, moderate or severe insomnia, etc.), and asked whether the user meets the current situation; if not, the Insomnia Severity Index (ISI) questionnaire is pushed to the user and the conclusion is calculated. Then, based on the user's past behavior data habits, it is determined whether the user is willing to spend time solving sleep problems.

[0105] If the user is willing to spend time solving sleep problems, you can ask the user which of the following insomnia problems he or she would like to improve: such as difficulty falling asleep, waking up easily, waking up early, shallow sleep, etc.

[0106] If the user wants to improve the difficulty in falling asleep, the user can be asked how long the symptoms have lasted from the beginning to now. If it lasts for less than one month, the poor sleep plan generated by the preset sleep processing rules and poor sleep labels can be called. If it lasts for more than one month, solutions for the difficulty in falling asleep can be recommended to the user. At the same time, the Insomnia Severity Index Scale is evaluated and a matching sleep intervention plan is recommended based on different severities.

[0107] If the user wants to improve his or her easy awakening, the user can be asked how long the symptoms have lasted from the beginning to now. If it lasts for less than one month, the poor sleep plan generated by the preset sleep processing rules and poor sleep labels can be called. If it lasts for more than one month, solutions for easy awakening can be recommended to the user. At the same time, the Insomnia Severity Index Scale is evaluated and a matching sleep intervention plan is recommended based on different severities.

[0108] If the user wants to improve early awakening, the user can be asked how long the symptoms have lasted from the beginning to now. If it lasts for less than one month, the poor sleep plan generated by the preset sleep processing rules and poor sleep labels can be called. If it lasts for more than one month, solutions for early awakening can be recommended to the user. At the same time, the Insomnia Severity Index Scale is evaluated and a matching sleep intervention plan is recommended based on different severities.

[0109] If the user wants to improve shallow sleep, the user can be asked how long the symptoms have lasted from the beginning to now. If it lasts for less than one month, the poor sleep plan generated by the preset sleep processing rules and poor sleep labels can be called. If it lasts for more than one month, solutions for shallow sleep can be recommended to the user. At the same time, the Insomnia Severity Index Scale is evaluated and a matching sleep intervention plan is recommended based on different severities.

[0110] If the user is unwilling to spend time solving sleep problems, in order to better understand the user's sleep status, we can suggest that the user undergo a sleep assessment. If the user agrees to the sleep assessment, the ISI questionnaire will be pushed to the user, and the user's problems will be determined based on the report interpretation results, such as no, mild-moderate sleep problems, or severe sleep problems.

[0111] If the user's primary concern is none, a daily stress relief program generated by preset sleep processing rules and without any disease labels can be called up, and a sleep education program can be recommended to the user.

[0112] If the user's primary problem is a mild to moderate sleep problem, a 4-5 week sleep intervention plan can be developed for the user. If the user is willing to implement it, the sleep intervention plan that matches the severity can be pushed to the user (for example, a sleep intervention plan with a one-week preparation period and a three-week formal period for mild sleep problems; a sleep intervention plan with a one-week preparation period and a four-week formal period for moderate sleep problems), and sleep products can be recommended to the user. If the user is unwilling to implement it, a simple and convenient solution can be pushed to the user, such as calling the poor sleep solution, sleep education solution, and sleep products generated by preset sleep processing rules and poor sleep labels.

[0113] If the user's primary problem is severe sleep problems, the user may be prompted that their sleep has been seriously poor recently, and it is recommended that the user seek consultation with a professional psychologist or psychologist as soon as possible, and develop a sleep plan that suits them based on professional advice. At the same time, sleep intervention plans and psychologists may also be pushed to the user.

[0114] If the user is unwilling to spend time solving sleep problems and wants to get solutions directly, the user can be asked whether he is willing to improve his sleep problems through a 4-week system. If the user is willing, the following solutions can be recommended to the user: calling the poor sleep solution and sleep education solution generated by the preset sleep processing rules and poor sleep labels. If the user is unwilling, the sleep intervention plan can be recommended to the user.

[0115] In a specific implementation, taking emotions as an example, the user may be asked to select a description that affects him / her based on his / her situation in the past two weeks from a plurality of preset descriptions related to emotions (including 3 descriptions related to depression and 5 descriptions related to anxiety). Each time the user selects a description, the emotion item corresponding to the description is scored one point.

[0116] If the anxiety item corresponding to the user is significantly higher than the depression item (higher by 2 points or more), it can be determined that the user's primary problem is anxiety. Then, it is determined whether there is an anxiety questionnaire conclusion within two weeks in the user's behavior record. If so, the user is informed of the specific anxiety level (such as mild, moderate or severe anxiety, etc.), and the user is asked whether it meets the current situation; if not, the Generalized Anxiety Disorder-7 (GAD-7) scale is pushed to the user and the conclusion is calculated. Then the user is asked whether he is willing to answer questions to better understand the user's emotional state and needs, and provide more accurate suggestions and help. If the user is willing to answer, the user is asked to recall the situation in the past two weeks and state the most recent experience of bad mood. Then, the user's statement is voice analyzed according to the preset corpus to determine the possible problems of the user. Specifically, the preset corpus can include a corpus related to personality judgment, a corpus related to stressors, and a corpus related to insufficient self-regulation ability.

[0117] Among them, personality problems usually refer to the characteristics of an individual in terms of emotions, behaviors, thinking patterns, etc. that are inconsistent with social expectations or personal goals. In language expression, the corpus related to personality judgment can identify possible personality problems in the following ways: Emotional expression: Frequent use of extreme emotional words, such as "always", "forever", "extremely", etc., may indicate weak emotional regulation ability; Self-evaluation: Negative self-evaluation, such as "I am useless" and "I can't do anything well", may reflect low self-esteem or self-worth problems; Social interaction: When describing social situations, if you often express loneliness or distrust of others, it may indicate social anxiety or trust problems; Coping strategies: When facing problems, if you always take an evasive or denying attitude, it may indicate a lack of effective coping mechanisms. =Control; Thinking patterns: Fixed thinking patterns, such as "I am always unlucky" and "No one can understand me", may reflect pessimistic or paranoid personality traits; Behavioral tendencies: Recurring impulsive or uncontrollable behaviors in the description may indicate impulse control problems; Interpersonal relationships: When describing relationships with others, if conflicts, misunderstandings or difficulties in maintaining stable relationships are often expressed, it may indicate problems in handling interpersonal relationships; Sense of responsibility: Expressions of lack of responsibility, such as "It's not my fault" and "I am always misunderstood", may indicate a tendency to evade responsibility; Egocentrism: Over-emphasizing one's own needs and feelings in conversations and ignoring others may indicate egocentric personality traits; Adaptability: When describing changes or new environments, if extreme discomfort or resistance is shown, it may indicate weak adaptability.

[0118] Stressors can be identified in the corpus related to stressors by the following ways: Frequent mention of stress vocabulary: Use words such as "pressure", "tension", "anxiety", "burden" to describe how you feel; Description of specific stressful situations: Mention of specific events or situations, such as "work deadlines", "exams", "financial problems", etc., which are often regarded as stressors; Expression of concerns about time: Use expressions such as "not enough time" and "rushed" to imply time pressure; Description of physical symptoms: Mention of physiological reactions caused by stress, such as "headache", "insomnia", "stomachache", etc.; Mood swings: Description of rapid changes or instability in emotions, such as "mood swings", "irritability", "sudden crying"; Escape or avoidance behavior: Express the desire to escape or avoid certain situations or people, perhaps because these are stressors; Concerns about the future: Uncertainty about the future or what may happen : Expressing concerns about negative events that have occurred in the past; Social tensions: Mentioning conflicts or tensions with family, friends, or co-workers. These social problems may be sources of stress; Work- or school-related: Mentioning excessive workload, high work demands, or heavy school loads, which are common sources of stress; Life changes: Describing major changes in life, such as moving, unemployment, relationship changes, etc., which may bring stress; Self-blame: Expressing dissatisfaction or self-blame for one's own performance or decision-making, which may be a manifestation of internal stress; Seeking support or help: Expressing the need for support or help from others to cope with certain situations, which may mean that they feel stressed; Changes in lifestyle habits: Mentioning changes in eating habits, sleeping patterns, or daily activities, which may be ways to cope with stress; Description of daily activities: Mentioning that daily activities have become difficult or no longer enjoying activities that they usually enjoy, which may be signs that stress is affecting their lives.

[0119] Self-regulation ability refers to the ability of an individual to control his or her behavior and emotions when facing stress, mood swings or other challenges. If a person shows poor self-regulation ability in verbal expression, he or she may have some of the following characteristics: Emotional outbursts: Frequently expressing the inability to control one's emotions, such as "I can't stop crying" or "I'm too angry to calm down"; Impulsive behavior: Describing oneself as making impulsive decisions or behaviors, such as "I just spur of the moment..."; Lack of effective coping strategies: Expressing that one does not know how to deal with problems when faced with them, or that the methods tried do not work; Persistent negative emotions: Being in a negative emotional state for a long time, such as "I always feel depressed" or "I can't get rid of this anxiety"; Self-blame: Excessive self-blame for one's own behavior or emotions, such as "I always mess up everything"; Difficulty concentrating: Expressing difficulty concentrating at work or in daily activities, such as "I can't focus on anything"; Escapism: Tendency to express frustration through Escaping from real problems in unhealthy ways, such as excessive drinking, indulging in online games, etc.; Social avoidance: avoiding social activities or communicating with people, which may be due to not knowing how to control one's behavior or emotions in social situations; Lack of self-motivation: expressing that even if one knows that action needs to be taken, one cannot motivate oneself to do it, such as "I know I should... but I just can't do it"; Difficulty adapting to changes: expressing that one feels uncomfortable or unacceptable to changes in life, such as "Any change makes me feel uneasy"; Lack of self-reflection: rarely or never reflecting on one's own behavior or emotions, which may indicate a lack of self-awareness; Over-dependence on others: often expressing the need for others to help make decisions or provide emotional support, which may indicate a lack of independent problem-solving ability; Irregular life: describing one's own life as irregular, such as irregular sleep, diet or daily activities; Repetitive negative cycles: expressing that one is trapped in a negative cycle that cannot be broken, such as "I always repeat the same mistakes."

[0120] If it is determined that the user has a stress source event, the user can be recommended to undergo a stress test, obtain the user's corresponding PSS scale result, and then interpret the scale result.

[0121] If it is determined that the user may have personality problems, a preset personality assessment questionnaire can be pushed to the user, and the user can be asked whether the interpersonal relationship with others is harmonious. If it is occasionally disharmonious, the user is prompted to have a perfect personality; if it is sometimes disharmonious, the user is prompted to have a mild personality imbalance; if it is often disharmonious, the user is prompted to have a moderate personality imbalance; if it is always disharmonious, the user is prompted to have a severe personality imbalance, which will lead to a variety of emotional and behavioral problems, and a psychological expert is recommended to obtain a more comprehensive diagnosis and treatment suggestions.

[0122] If it is judged that the user may have insufficient self-adjustment ability, a general self-efficacy questionnaire will be pushed to the user. If the result is extremely inconsistent, it will prompt the user that the self-adjustment ability may be insufficient; if the result is inconsistent, it will prompt the user that the self-adjustment ability may be insufficient; if the result is consistent, it will prompt the user that the self-adjustment ability is good; if the result is extremely consistent, it will prompt the user that the self-adjustment ability is very good.

[0123] On the basis of the above, if it is determined that the user has both anxiety and personality problems, a 3-5 week intervention plan can be formulated for the user. If the user is willing to implement it, the anxiety intervention plan and self-efficacy management tools will be pushed to the user. If the user is unwilling to implement it, a simple and convenient solution will be recommended to the user: for example, calling the preset depression emotion processing rules and depression labels to generate depression solutions, personality efficacy audio, and education plans.

[0124] If it is determined that the user only has anxiety problems, a 3-5 week anxiety intervention plan will be formulated for the user. If the user is willing to implement it, the intervention plan will be pushed to the user. If the user is unwilling to implement it, a simple and convenient solution will be recommended to the user: for example, calling preset anxiety emotion processing rules and anxiety label generation solutions and education plans.

[0125] If it is determined that the user has anxiety and stress problems, a 3-5 week intervention plan will be developed for the user. If the user is willing to implement it, the intervention plan and stress relief tools will be pushed to the user. If the user is unwilling to implement it, a simple and convenient solution will be recommended to the user: such as stress relief products, solutions generated by calling preset emotion processing rules and anxiety and stress labels, and education plans, etc.

[0126] If it is determined that the user has anxiety and performance problems, a 3-5 week intervention plan will be developed for the user. If the user is willing to implement it, the anxiety intervention plan and performance tools will be pushed to the user. If the user is unwilling to implement it, a simple and convenient solution will be recommended to the user: such as performance audio and video, depression solutions generated by calling preset emotion processing rules and anxiety tags, and education plans.

[0127] If it is determined that the user has anxiety and personality problems, a course on personality development will be recommended to the user. If the user is willing to follow the course, the course will be pushed to the user. If the user is unwilling to follow the course, a simple and convenient solution will be recommended to the user: such as performance audio and video, depression solutions generated by calling preset emotion processing rules and anxiety tags, and education solutions.

[0128] If the depression item corresponding to the user is significantly higher than the anxiety item (higher by 2 points or more), it can be determined that the user's primary problem is depression. Then, it is determined whether there is a depression questionnaire conclusion in the user's behavior record within two weeks. If so, the user is informed of the specific degree of depression (such as mild, moderate or severe depression, etc.), and the user is asked whether it meets the current situation; if not, the health questionnaire (Patient Health Questionnaire-9, PHQ-9) is pushed to the user and the conclusion is calculated. Then the user is asked whether he is willing to answer the questions to better understand the user's emotional state and needs, and provide more accurate advice and help. If the user is willing to answer, the user is asked to recall the situation in the past two weeks and state the most recent experience of bad mood. Then, the user's statement is voice analyzed according to the preset corpus to determine the possible problems of the user. Finally, the solution is recommended to the user in the same processing method as the above logic. If the user is unwilling to answer the question, a simple and convenient solution can be recommended to the user: for example, calling the preset depression emotion processing rules and depression solutions generated by depression labels and education plans.

[0129] If the user's corresponding anxiety and depression items are equal, or only differ by 1 point and are both greater than or equal to 3, the user can be asked whether he or she has ever been diagnosed with bipolar disorder. If the user does not know, the user can be guided to describe the symptoms of bipolar disorder through preset questions, such as whether he or she feels that his or her mood fluctuates greatly, sometimes depressed and sometimes excited. If the user has the above symptoms, it is prompted that the user may have severe emotional imbalance, and it is recommended that you consult a psychologist for a more comprehensive diagnosis and treatment. If the user does not have the above symptoms, the item with the higher score from the anxiety and depression items is selected as the primary question. If they are equal, the anxiety item is selected as the primary question, and then a solution is recommended to the user in the same way as above.

[0130] If the anxiety and depression items corresponding to the user are equal, or differ by only 1 point and at least one of them is less than 3, it can be determined that the user's primary problem may be stress. The user is recommended to use the PSS scale for assessment, and then a solution is recommended to the user in the same way as above.

[0131] The technical solution provided by the embodiment of the present invention obtains psychological description information, analyzes the psychological description information, obtains target psychological problems, pushes evaluation questionnaires matching the target psychological problems, generates an interpretation report based on the evaluation results fed back by the evaluation questionnaires, pushes matching psychological adjustment plans based on the interpretation report and historical behavior data, pushes different psychological questionnaires corresponding to different psychological dimensions, determines target scores based on the completion information of different psychological questionnaires, determines psychological state assessment results based on the target scores, and pushes psychological suggestions based on the psychological state assessment results. An online consulting platform for realizing psychological interpretation and solution push functions is provided, which can improve the accuracy of user psychological problem identification results, provide users with personalized and targeted psychological problem solutions, and realize the intelligence of psychological state interpretation methods.

[0132] Figure 4 The present invention provides an intelligent psychological state interpretation and solution push device, which is applied to an automatic emotion recognition system of an electronic device. Figure 4 As shown, the device includes: a problem analysis module 410, a report generation module 420 and a solution pushing module 430.

[0133] The problem analysis module 410 is used to obtain psychological description information, analyze the psychological description information, and obtain the target psychological problem;

[0134] The report generation module 420 is used to push the evaluation questionnaire matching the target psychological problem and generate an interpretation report according to the evaluation results fed back by the evaluation questionnaire;

[0135] The solution push module 430 is used to push a matching psychological adjustment solution according to the interpretation report and historical behavior data.

[0136] The technical solution provided by the embodiment of the present invention obtains psychological description information, analyzes the psychological description information, obtains target psychological problems, pushes evaluation questionnaires matching the target psychological problems, generates an interpretation report based on the evaluation results fed back by the evaluation questionnaire, and pushes matching psychological adjustment plans based on the interpretation report and historical behavior data. An online consulting platform for realizing the functions of psychological interpretation and plan push is provided, which can improve the accuracy of user psychological problem identification results, provide users with personalized and targeted psychological problem solutions, and realize the intelligence of psychological state interpretation methods.

[0137] Based on the above embodiment, the historical behavior data includes historical questionnaire data completed by the automated emotion recognition system and historical adaptation plans completed by the automated emotion recognition system.

[0138] The problem analysis module 410 includes:

[0139] A keyword recognition unit, used to recognize target keywords included in the psychological description information by using a semantic recognition algorithm and preset keywords;

[0140] The problem determination unit is used to determine the target psychological problem according to the number, occurrence frequency and context of the target keywords in the psychological description information.

[0141] The solution push module 430 includes:

[0142] An execution information acquisition unit, used to acquire execution information corresponding to the psychological adjustment plan through an automated emotion recognition system;

[0143] A program adjustment unit, configured to adjust the psychological adjustment program according to the execution information, and re-send the adjusted psychological adjustment program;

[0144] A questionnaire pushing unit, configured to push a target questionnaire through an automated emotion recognition system if the target psychological problem is not solved after the adjusted psychological adjustment plan is pushed again;

[0145] The judgment unit is used to judge whether medical intervention is needed based on the completion information corresponding to the target questionnaire; if so, push medical consultation suggestions.

[0146] The device also includes:

[0147] The psychological assessment module is used to push different psychological questionnaires corresponding to different psychological dimensions, determine target scores according to the completion information of different psychological questionnaires, and determine the psychological state assessment results according to the target scores;

[0148] The psychological advice push module is used to push psychological advice based on the psychological state assessment results.

[0149] The psychological assessment module includes:

[0150] An original score determination unit, used to determine the original scores of different psychological questionnaires based on the completion information of different psychological questionnaires;

[0151] The scoring weighting unit is used to perform weighted processing on each of the original scores according to different preset weights corresponding to different psychological dimensions, and to standardize the weighted results to obtain the target score.

[0152] The above device can execute the methods provided by all the above embodiments of the present invention, and has the corresponding functional modules and beneficial effects of executing the above methods. For technical details not fully described in the embodiments of the present invention, please refer to the methods provided by all the above embodiments of the present invention.

[0153] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0154] like Figure 5 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0155] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0156] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the intelligent psychological state interpretation and solution push method.

[0157] In some embodiments, the intelligent mental state interpretation and solution push method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the intelligent mental state interpretation and solution push method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the intelligent mental state interpretation and solution push method in any other appropriate manner (for example, by means of firmware).

[0158] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0159] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0160] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0161] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0162] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0163] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0164] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0165] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent method for interpreting psychological states and pushing solutions, characterized in that: Applied in an automated emotion recognition system, the method comprises: Acquire psychological description information, analyze the psychological description information, and obtain target psychological problems; Pushing an assessment questionnaire that matches the target psychological problem, and generating an interpretation report based on the assessment results fed back by the assessment questionnaire; Based on the interpretation report and historical behavioral data, a matching psychological adjustment plan is pushed.

2. The method according to claim 1, characterized in that Analyze the psychological description information to obtain target psychological problems, including: Using a semantic recognition algorithm and preset keywords, identifying target keywords included in the psychological description information; The target psychological problem is determined according to the number, frequency of occurrence and context of the target keywords in the psychological description information.

3. The method according to claim 1, characterized in that After pushing the matching psychological adjustment plan, it also includes: Obtaining execution information corresponding to the psychological adjustment plan through an automated emotion recognition system; The psychological adjustment program is adjusted according to the execution information, and the adjusted psychological adjustment program is pushed again.

4. The method according to claim 3, characterized in that After the adjusted psychological adjustment plan is pushed again, it also includes: If the target psychological problem is not solved, the target questionnaire is pushed through the automated emotion recognition system; Determining whether medical intervention is needed based on the completion information corresponding to the target questionnaire; If so, medical advice will be given.

5. The method according to claim 1, characterized in that After pushing the matching psychological adjustment plan, it also includes: Push different psychological questionnaires corresponding to different psychological dimensions; Determining target scores based on the completion information of the different psychological questionnaires, and determining psychological state assessment results based on the target scores; Psychological advice is delivered based on the psychological state assessment results.

6. The method according to claim 5, characterized in that Based on the completion information of the different psychological questionnaires, target scores were determined, including: According to the completion information of different psychological questionnaires, the original scores of different psychological questionnaires are determined; According to the different weights corresponding to the different preset psychological dimensions, each of the original scores is weighted, and the weighted results are standardized to obtain the target score.

7. The method according to claim 1, characterized in that The historical behavior data includes historical questionnaire data completed by the automated emotion recognition system and historical adaptation plans completed by the automated emotion recognition system.

8. An intelligent psychological state interpretation and solution push device, characterized in that: Applied in an automated emotion recognition system, the device comprises: A problem analysis module is used to obtain psychological description information, analyze the psychological description information, and obtain target psychological problems; A report generation module is used to push an evaluation questionnaire that matches the target psychological problem and generate an interpretation report based on the evaluation results fed back by the evaluation questionnaire; The solution push module is used to push a matching psychological adjustment solution based on the interpretation report and historical behavior data.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the intelligent mental state interpretation and solution push method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the intelligent psychological state interpretation and solution push method described in any one of claims 1-7 when executed.

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