Personality evaluation system design method and device, storage medium and program product

Abstract

The invention provides a personality evaluation system design method and device, a storage medium and a program product, and relates to the technical field of natural language processing and the technical field of psychological personality evaluation. The personality evaluation system design method comprises the following steps: managing user registration and login, and controlling access authority to an evaluation result; collecting data and preprocessing the data; analyzing the preprocessed data by using a large language model to obtain evaluation data; setting a personality evaluation system, performing feature extraction on the evaluation data, and generating a real-time feature dimension score; generating a regular analysis report according to the real-time feature dimension score, and adjusting the analysis report according to user feedback; data transmission and storage are encrypted, so that data security is ensured. According to the method, personality assessment is carried out by utilizing semantic comprehension and sentiment analysis ability of a large language model based on related theories and methods of psychological personality assessment, and accurate, convenient and real-time assessment by using a specified personality assessment system is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of natural language processing and also to the technical field of psychological personality assessment, and in particular to a personality assessment system design method, device, storage medium and program product. Background Art

[0002] Psychological personality assessment is an important means to understand individual personality traits and is widely used in many fields such as mental health, career development, and education. Traditional personality assessment methods usually rely on questionnaires, which have limitations such as strong subjectivity, long time consumption, and lack of personalized feedback.

[0003] Since the 1990s, text-based personality assessment methods have gradually attracted attention, among which the most commonly used is the Linguistic Inquiry and Word Count (LIWC) method. Although LIWC has made some progress in text analysis, it still has the following limitations: 1. It mainly relies on dictionary matching, cannot capture complex contextual information and implicit emotions, and is prone to misjudgment of complex expressions such as polysemous words, metaphors, and irony; 2. It uses fixed dictionaries and rules, which makes it difficult to make personalized adjustments based on the user's expression style and emotional pattern, resulting in inaccurate assessment results. At the same time, it cannot self-optimize based on new data, and may gradually lose accuracy as language and social culture evolve; 3. It only provides one-time and comprehensive assessment results, cannot track the changes in the user's psychological state over a long period of time, and lacks real-time feedback and interaction. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention proposes a personality assessment system design method, device, storage medium and program product, which is based on the relevant theories and methods of psychological personality assessment, and uses the semantic understanding and sentiment analysis capabilities of a large language model to perform personality assessment, thereby realizing accurate, convenient and real-time assessment using a specified personality assessment system. By using the semantic understanding and sentiment analysis capabilities of a large language model, personality assessment can be completed through natural conversation or daily expression without filling out a questionnaire, which improves the assessment efficiency and accuracy; by using the dynamic adaptability of a large language model, personalized assessment results and suggestions are provided according to the individual differences of users, and the focus and output content of the assessment are adjusted according to different application scenarios; by using the long text analysis capabilities of a large language model, the psychological state of users is tracked for a long time, and the assessment report is updated regularly; by using the continuous learning capabilities of a large language model, training data is continuously updated, the assessment system is automatically optimized, and the assessment accuracy and personalization are continuously improved. The present invention protects user privacy and data security through user management and data encryption.

[0005] In a first aspect, the present invention provides a personality assessment system design method, including the following modules and corresponding functions:

[0006] User management module: manages user registration and login, and controls access rights to assessment results;

[0007] Data acquisition and preprocessing module: collect data and preprocess the data;

[0008] Data processing module: Use a large language model to analyze preprocessed data to obtain evaluation data;

[0009] Personality assessment module: setting up a personality assessment system, extracting features from the assessment data, and generating real-time feature dimension scores;

[0010] Personalized feedback module: Generate regular analysis reports based on real-time feature dimension scores, and adjust analysis reports based on user feedback;

[0011] Data security module: encrypts data transmission and storage to ensure data security.

[0012] As a further improvement of the present invention, the user management module includes:

[0013] Support account registration and system login via web page or mobile application;

[0014] Support anonymous evaluation, users can choose not to provide personal information;

[0015] Only authorized personnel can access the user's evaluation results to prevent data leakage.

[0016] As a further improvement of the present invention, the data acquisition and preprocessing module includes:

[0017] Collect data directly input by users and data authorized by users;

[0018] Filter irrelevant information in the data, retain valid information, and ensure that the data format meets system requirements.

[0019] As a further improvement of the present invention, the data processing module includes:

[0020] Fine-tune large language models using psychology text;

[0021] Use the fine-tuned large language model to perform sentiment and semantic analysis on the preprocessed data to obtain evaluation data.

[0022] This step uses a large language model to make a more detailed and accurate understanding and interpretation of the data to ensure that the evaluation results obtained by this system are more accurate.

[0023] As a further improvement of the present invention, the personality assessment module comprises:

[0024] Set up a personality assessment system and corresponding characteristic dimensions;

[0025] Extracting features on each feature dimension from the evaluation data;

[0026] Calculate the feature dimension score based on the frequency of occurrence of features on each feature dimension;

[0027] Adjust the feature dimension scores in real time based on the data collected by the system.

[0028] As a further improvement of the present invention, the personalized feedback module includes:

[0029] Generate a personalized analysis report based on the feature dimension scores;

[0030] Based on the data collected by the system, the analysis report is updated regularly, and the changing trends of the scores of each feature dimension are integrated in the analysis report;

[0031] Answer user questions about analytical reports and adjust analytical reports based on user feedback.

[0032] In a second aspect, the present invention provides a computer device comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the first aspect.

[0033] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0034] In a fourth aspect, the present invention provides a computer program product, which implements the steps of the method described in the first aspect when the computer program is executed by a processor.

[0035] Compared with the prior art, the present invention is based on the relevant theories and methods of psychological personality assessment, and uses the semantic understanding and sentiment analysis capabilities of a large language model to conduct personality assessment, thus achieving accurate, convenient and real-time assessment using a designated personality assessment system. Specifically, there is no need to fill out a questionnaire during the assessment process, and personality assessment can be completed through natural conversation or daily expression, which improves the assessment efficiency while also improving the assessment accuracy; using the dynamic adaptability of a large language model, personalized assessment results and suggestions are provided based on the individual differences of users, and the focus and output content of the assessment are adjusted according to different application scenarios; using the long text analysis capabilities of a large language model, the user's psychological state is tracked over a long period of time, and the assessment report is updated regularly; using the continuous learning capabilities of a large language model, the training data is continuously updated, the assessment system is automatically optimized, and the assessment accuracy and personalization are continuously improved. The present invention protects user privacy and data security through user management and data encryption. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 The present invention discloses a flowchart of a method for designing a personality assessment system. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the present invention will combine the accompanying drawings to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments, wherein steps S1, S2... in the embodiments described in the present invention do not limit the only execution steps of the present invention; the various models, simulation environments, and software described in the present invention are not the only limiting methods of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0038] In the present invention, computer devices / equipment / systems refer to related entities applied to computers, such as hardware, a combination of hardware and software, software or software in execution, etc. In detail, for example, software includes but is not limited to a process running on a processor, a processor, an object, executable software, an execution thread, a program and / or a computer. In addition, an application or script program running on a server, a server can also be software. One or more software can be in an execution process and / or thread, and the software can be localized on one computer and / or distributed between two or more computers, and can be run by various computer-readable media.

[0039] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other.

[0040] In a first aspect, the present invention provides an embodiment of a method for designing a personality assessment system. Figure 1 As shown, the modules of the system and the functions of each module can be as follows:

[0041] S1: User management module. It includes the following functions:

[0042] S11: Implement user registration and login.

[0043] Users register an account through a web page or mobile application and log in to the system.

[0044] The system supports anonymous evaluation and users can choose not to provide personal information.

[0045] S12: Permission control.

[0046] The system is set up so that only authorized personnel can access the user's evaluation results to prevent data leakage.

[0047] S2: Data acquisition and preprocessing module. Including:

[0048] S21: Collect data directly input by the user.

[0049] Preferably, the system provides a dialog box for the user, and the user's input content includes: free text, free conversation, answers to specific topics, and social media posts.

[0050] In one embodiment of the present invention, the system requests the user to enter a paragraph of text through a dialog box to describe his or her daily life, work experience, hobbies, etc.

[0051] In one embodiment of the present invention, the system requests the user to enter a social media post link.

[0052] S22: Collect user-authorized data.

[0053] Preferably, the system requests the user to authorize access to their social media accounts to obtain public posts and comments.

[0054] S23: Data preprocessing.

[0055] Preprocess the collected data. Preprocessing includes: filtering irrelevant information, retaining valid information, and ensuring that the data format meets system requirements.

[0056] In one embodiment of the present invention, the system filters out irrelevant information such as advertisements and links in social media posts and retains the effective expressions therein.

[0057] S3: Data processing module. Including:

[0058] S31: Fine-tune the large language model.

[0059] A pre-trained large language model (such as GPT, LLAMA, etc.) is used, and fine-tuned using a large amount of psychology-related text, so that it can understand and parse expressions related to personality traits and has the ability to perform psychological personality assessment.

[0060] S32: Sentiment and semantic analysis.

[0061] Use a fine-tuned large language model to perform sentiment and semantic analysis on the preprocessed data, identify the sentiment tendency (such as positive, negative, neutral), analyze the semantic information, and extract keywords and patterns related to personality traits.

[0062] In one embodiment of the present invention, the pre-trained large language model recognizes that the sentence "I had a great day today" contains positive emotions in the context of positive emotion expression, and contains negative emotions in the context of negative emotion expression. That is, the large language model accurately understands the user's true emotional state.

[0063] Use pre-trained large language models to understand the context of text. Through multi-round dialogue or long text analysis, capture the user's long-term behavior patterns and emotional changes, and provide a more comprehensive evaluation.

[0064] In one embodiment of the present invention, the pre-trained large language model can identify the user's stable personality traits and short-term emotional fluctuations based on the user's expressions in different time periods.

[0065] The data processed by the data processing module is the evaluation data.

[0066] S4: Personality assessment module. Includes:

[0067] S41: Feature dimension setting.

[0068] Establish a personality assessment system and corresponding characteristic dimensions.

[0069] In one embodiment of the present invention, the Big Five personality assessment system is used for personality assessment, which involves five characteristic dimensions, including:

[0070] Extraversion: frequency of social interaction, activeness of expression, willingness to participate in group activities, etc.;

[0071] Neuroticism: frequency and intensity of mood swings, ways of coping with stress, anxiety levels, etc.

[0072] Openness: interest in new things, creativity, imagination, etc.;

[0073] Agreeableness: concern for others, willingness to cooperate, empathy, etc.

[0074] Conscientiousness: self-discipline, sense of responsibility, goal orientation, etc.

[0075] S42: Feature extraction.

[0076] Based on the evaluation data obtained by the data processing module, the features on each feature dimension set in step S41 are extracted.

[0077] In one embodiment of the present invention, the characteristics of each characteristic dimension of the Big Five personality, such as "social", "stress", "creativity", etc., are extracted, and their occurrence frequencies are calculated.

[0078] S43: Feature dimension scoring.

[0079] According to the frequency of occurrence of features in each dimension, the user's score on the feature dimension is calculated, that is, the feature dimension score.

[0080] In one embodiment of the present invention, the scoring adopts a standardized (1-5 point system) algorithm to ensure that the results are comparable and scientific.

[0081] In one embodiment of the present invention, the Big Five personality assessment system is used to obtain scores for five characteristic dimensions, namely, extraversion, neuroticism, openness, agreeableness, and conscientiousness. For example, the extraversion score is calculated based on factors such as the proportion of positive words in the user's expression and the frequency of social interactions; the neuroticism score is calculated by analyzing emotional fluctuations and the way of coping with stress.

[0082] S44: Dynamic adjustment.

[0083] Adjust feature dimension scores in real time based on user data continuously collected by the system.

[0084] In one embodiment of the present invention, the different behavior patterns of users in different time periods are comprehensively considered, and the feature dimension scores generated for the users are adjusted in real time.

[0085] S5: Personalized feedback module. Includes:

[0086] S51: Generate a report.

[0087] Generate a detailed personalized analysis report based on the feature dimension scores.

[0088] Preferably, the analysis report includes scores for each feature dimension, specific explanations, and personalized suggestions.

[0089] In one embodiment of the present invention, emotion management techniques are provided for users with high neuroticism, and time management strategies are recommended for users with low conscientiousness.

[0090] In one embodiment of the present invention, the report provided to the user is: "Your extroversion score is 4.5 (out of 5), indicating that you like social activities and are good at establishing connections with others. It is recommended that you continue to maintain this positive social attitude while paying attention to balancing your personal space."

[0091] S52: Continuous tracking.

[0092] Based on the data collected by the system, we track the changes in users' psychological states over a long period of time, regularly update analysis reports, integrate the changing trends of the scores of each feature dimension, and generate the trends of users' personality characteristics changing over time.

[0093] S53: Interactive feedback.

[0094] The system interacts with users about the analysis report, answers their questions, and adjusts the analysis report based on user feedback.

[0095] S6: Data security module. Includes:

[0096] All user input data is encrypted to ensure the security of data transmission and storage.

[0097] In a second aspect, the present invention provides an embodiment of a computer device, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the first aspect.

[0098] In a third aspect, the present invention provides an embodiment of a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in the first aspect when executed by a processor.

[0099] In a fourth aspect, the present invention provides an embodiment of a computer program product, which implements the steps of the method described in the first aspect when the computer program is executed by a processor.

[0100] The present invention proposes a personality assessment system design method, device, storage medium and program product, which are based on the relevant theories and methods of psychological personality assessment, and use the semantic understanding and sentiment analysis capabilities of a large language model to perform personality assessment, thereby realizing accurate, convenient and real-time assessment using a designated personality assessment system. Specifically, there is no need to fill out a questionnaire during the assessment process, and personality assessment can be completed through natural conversation or daily expression, which improves the assessment efficiency while also improving the assessment accuracy; using the dynamic adaptability of a large language model, personalized assessment results and suggestions are provided according to the individual differences of users, and the focus and output content of the assessment are adjusted according to different application scenarios; using the long text analysis capabilities of a large language model, the psychological state of the user is tracked for a long time, and the assessment report is updated regularly; using the continuous learning capabilities of a large language model, the training data is continuously updated, the assessment system is automatically optimized, and the assessment accuracy and personalization are continuously improved. The present invention protects user privacy and data security through user management and data encryption.

Claims

1. A personality assessment system design method, characterized in that: Includes the following modules and corresponding functions: User management module: manages user registration and login, and controls access rights to assessment results; Data acquisition and preprocessing module: collect data and preprocess the data; Data processing module: Use a large language model to analyze preprocessed data to obtain evaluation data; Personality assessment module: setting up a personality assessment system, extracting features from the assessment data, and generating real-time feature dimension scores; Personalized feedback module: Generate regular analysis reports based on real-time feature dimension scores, and adjust analysis reports based on user feedback; Data security module: encrypts data transmission and storage to ensure data security.

2. The method according to claim 1, characterized in that The user management module comprises: Support account registration and system login via web page or mobile application; Support anonymous evaluation, users can choose not to provide personal information; Only authorized personnel can access the user's evaluation results to prevent data leakage.

3. The method according to claim 1, characterized in that The data acquisition and preprocessing module comprises: Collect data directly input by users and data authorized by users; Filter irrelevant information in the data, retain valid information, and ensure that the data format meets system requirements.

4. The method according to claim 1, characterized in that The data processing module comprises: Fine-tune large language models using psychology text; Use the fine-tuned large language model to perform sentiment and semantic analysis on the preprocessed data to obtain evaluation data.

5. The method according to claim 1, characterized in that The personality assessment module comprises: Set up a personality assessment system and corresponding characteristic dimensions; Extracting features on each feature dimension from the evaluation data; Calculate the feature dimension score based on the frequency of occurrence of features on each feature dimension; Adjust the feature dimension scores in real time based on the data collected by the system.

6. The method according to claim 1, characterized in that The personalized feedback module comprises: Generate a personalized analysis report based on the feature dimension scores; Based on the data collected by the system, the analysis report is updated regularly, and the changing trends of the scores of each feature dimension are integrated in the analysis report; Answer user questions about analytical reports and adjust analytical reports based on user feedback.

7. The method according to claim 1, characterized in that The data security module comprises: All user input data is encrypted to ensure the security of data transmission and storage.

8. A computer device embodiment, comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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