Dispute party psychological recognition and intervention method, system and equipment based on psychology and artificial intelligence and medium
By applying psychology and artificial intelligence technologies in dispute mediation, accurately identifying and interfering with the wishes of the parties, the problem of insufficient willingness identification and intervention mechanism in the existing technology has been solved, and the efficiency and quality of mediation have been significantly improved.
Patent Information
- Application Number
- CN202510085509.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-20
- Publication Date
- 2025-03-11
AI Technical Summary
Existing dispute mediation technologies are difficult to accurately identify and respect the wishes of the parties, and lack effective intervention mechanisms, resulting in low mediation efficiency and quality.
Using psychology and artificial intelligence-based methods, we use prompt the database of vocabulary, preprocess verbal and behavioral data, use large language models to identify willingness and emotional states, establish a library of psychological willingness intervention strategies, generate personalized intervention content, and dynamically adjust the intervention strategies and content in real time.
It improves the accuracy of willingness identification and the targetedness of intervention content, realizes real-time monitoring and dynamic adjustment of the mediation process, and improves the efficiency and quality of mediation.
Smart Images
Figure CN119601172A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of dispute mediation, and in particular to a method, system, device and medium for psychological identification and intervention of dispute parties based on psychology and artificial intelligence. Background Art
[0002] In today's society, dispute mediation, as a non-litigation way to resolve disputes, has received increasing attention. It can not only effectively alleviate the pressure on judicial resources, but also promote social harmony and stability. However, in the mediation process, accurately identifying and respecting the wishes of the parties is a very challenging task. The wishes of the parties may be affected by many factors, including but not limited to emotional state, cognitive bias, communication barriers, etc. Therefore, developing a technology that can effectively identify and intervene in the wishes of the parties is of great significance to improving the efficiency and quality of mediation.
[0003] At present, manual mediation is commonly used in the field of dispute mediation, relying on the mediator's experience and intuition to judge the parties' wishes. Although this method can meet the needs of mediation to a certain extent, it has problems such as strong subjectivity and low efficiency. With the development of artificial intelligence technology, the use of machine learning, natural language processing and other technical means can analyze the words and behaviors of the parties, so as to identify the parties' wishes more objectively and efficiently.
[0004] In addition, the existing mediation system lacks an effective intervention mechanism and cannot make timely corrections when the parties' intentions deviate. How to more accurately identify the parties' intentions during dispute mediation and generate corresponding intervention content to improve the efficiency and quality of mediation has become an urgent problem to be solved. Therefore, developing a technology that can monitor the parties' intentions in real time during the mediation process and provide scientific intervention suggestions is important for improving the success rate and satisfaction of mediation. Summary of the invention
[0005] In view of the deficiencies in the prior art, the present invention provides a method, system, device and medium for psychological identification and intervention of dispute parties based on psychology and artificial intelligence, which can accurately identify the intentions of the parties and provide intervention measures when necessary to improve the efficiency and quality of mediation.
[0006] To achieve the above object, the present invention adopts the following technical solutions: A psychological identification and intervention method for dispute parties based on psychology and artificial intelligence, comprising the following steps: Construct a prompt word library to guide the parties to the dispute to express their wishes; the forms of expressing wishes include words and actions; Pre-processing of the speech and behavior data of the parties involved in the dispute; Input the pre-processed speech and behavior data into the pre-trained large language model to identify the intention and emotional state of the parties involved, and obtain intention labels and emotional labels; Establish a psychological intervention strategy library based on historical cases; Analyze the current mediation case, combine the willingness label and emotion label, and select the willingness intervention strategy that matches the current mediation situation and the willingness of the parties from the psychology willingness intervention strategy library; Generate intervention content based on the selected intention intervention strategy to intervene in the intention of the parties to the dispute in order to mediate the dispute; Use the pre-trained large language model to monitor in real time the changes in the intentions and emotional states of the parties to the dispute, collect feedback from the parties and mediators on the current intervention content, and dynamically adjust the intention intervention strategy and intervention content.
[0007] To optimize the above technical solutions, the specific measures taken also include: Furthermore, the construction of the prompt word library is specifically as follows: Analyze the mediation scenario and the needs of the parties, determine the design direction of the prompt words, draw on psychological theories, study the psychological changes and expression characteristics of the parties during the mediation process, and build a prompt word library containing various types of prompt words based on demand analysis and psychological research results; continuously adjust the prompt words through practical application and feedback.
[0008] Furthermore, the establishment of a psychological intention intervention strategy library based on historical cases is specifically as follows: Extract elements from historical case information and obtain historical case labels; Use the pre-trained large language model to perform intention recognition and emotion recognition on the conversations between the parties in historical case disputes and the mediators, and obtain the intention labels and emotion labels of the parties; Utilizing psychological theories and research methods, historical cases are analyzed to obtain psychological intention intervention strategies, which are then associated with historical case labels, intention labels, and emotional labels.
[0009] Furthermore, the intention intervention strategy selected from the psychology intention intervention strategy library that matches the current mediation situation and the intention of the parties is specifically: Based on the current case content, case elements are extracted to obtain the case label of the current case. Combined with the intention label and emotional label of the parties to the current dispute, the intention intervention strategy that matches the case label, intention label and emotional label is selected from the psychological intention intervention strategy library.
[0010] Furthermore, the intervention content generated based on the selected intention intervention strategy is specifically: Based on the selected intervention strategy and combined with the specific needs and circumstances of the parties, personalized intervention content is customized and the generated intervention content is output and presented to the mediator and the parties.
[0011] Furthermore, the dynamic adjustment willingness intervention strategy and intervention content are specifically as follows: Use the large language model to continuously monitor the parties' willingness and emotional state during the mediation process; collect feedback from the parties and mediators on the current intervention content; dynamically adjust the willingness intervention strategy and intervention content based on the monitoring results and feedback; and evaluate the effectiveness of the adjusted intervention content.
[0012] Furthermore, the method also includes protecting data privacy using a privacy protection mechanism, specifically including: When collecting and storing data, sensitive information is desensitized, and encryption technology is used to ensure data security during data transmission; all access and operations to data are recorded for traceability and auditing; and compliance reviews of privacy protection mechanisms are conducted regularly.
[0013] The present invention also proposes a psychological identification and intervention system for dispute parties based on psychology and artificial intelligence, comprising: A prompt word library construction module is used to construct a prompt word library. The prompt words are used to guide the parties to the dispute to express their wishes. The forms of expressing wishes include words and behaviors. A pre-processing module, used to pre-process the speech and behavior data of the parties to the dispute; The recognition module is used to input the pre-processed speech and behavior data into the pre-trained large language model to identify the intention and emotional state of the parties and obtain the intention label and emotional label; An intervention strategy library building module is used to build a psychology intention intervention strategy library based on historical cases; The selection module is used to analyze the current mediation case, combine the willingness label and the emotion label, and select the willingness intervention strategy that matches the current mediation situation and the willingness of the parties from the psychology willingness intervention strategy library; A generation module, used for generating intervention content based on the selected intention intervention strategy, wherein the intervention content is used for intervening in the intention of the parties to the dispute to mediate the dispute; The dynamic adjustment module is used to use the pre-trained large language model to monitor the changes in the intentions and emotional states of the parties to the dispute in real time, collect feedback from the parties and mediators on the current intervention content, and dynamically adjust the intention intervention strategy and intervention content.
[0014] The present invention also proposes an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as described above is implemented.
[0015] The present invention also proposes a computer-readable storage medium storing a computer program, characterized in that the computer program enables a computer to execute the psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as described above.
[0016] The beneficial effects of the present invention are: (1) Improving the accuracy of intention identification Targeted guidance: By designing targeted prompts, we can guide the parties to express their wishes more naturally and truthfully, reducing misunderstandings and prejudices.
[0017] Deep semantic analysis: Use a large language model to conduct deep semantic analysis of the parties' speech and behavior to accurately capture their implicit intentions and emotional states.
[0018] (2) Optimizing intervention content generation Personalized customization: Generate personalized intervention content based on the specific needs and circumstances of the parties involved to improve the pertinence and effectiveness of the intervention.
[0019] Situational adaptation: Consider the specific situation during the mediation process, generate intervention content that is appropriate to the situation, and promote the smooth progress of mediation.
[0020] (3) Realize real-time dynamic adjustment Continuous monitoring: Real-time monitoring of changes in the client's wishes and emotional state to ensure that the intervention content is always consistent with the client's needs.
[0021] Feedback optimization: Establish a feedback loop to dynamically adjust intervention strategies and content based on the parties’ feedback and the progress of the mediation process to improve the success rate of mediation.
[0022] (4) Protecting the privacy of the parties involved Data security: Use encryption, anonymization and other technical means to ensure data security and privacy and prevent the leakage of sensitive information.
[0023] Compliance review: Regularly conduct compliance reviews of privacy protection measures to ensure that they comply with relevant laws and regulations and enhance the trust of the parties involved.
[0024] (5) Improving mediation efficiency and quality Automated processing: Identify the parties’ wishes and generate intervention content through automated means, reduce manual intervention and improve mediation efficiency.
[0025] Intelligent support: Use artificial intelligence technology to provide intelligent support to mediators, helping them to better understand the needs of the parties and develop reasonable mediation plans.
[0026] Reduce costs: Reduce mediation costs by improving mediation efficiency and quality, reducing mediation time and resource consumption. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 The present invention is a flowchart of a method for psychological identification and intervention of dispute parties based on psychology and artificial intelligence.
[0028] Figure 2 This is a functional architecture diagram of a psychological identification and intervention system for dispute parties based on psychology and artificial intelligence proposed by the present invention.
[0029] Figure 3 This is a user interface diagram.
[0030] Figure 4 This is a diagram of the electronic equipment architecture. DETAILED DESCRIPTION
[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0032] Example 1
[0033] The present invention proposes a method for psychological identification and intervention of dispute parties based on psychology and artificial intelligence. The flowchart of the method is as follows: Figure 1 As shown, the following steps are included: Construct a prompt word library to guide the parties to the dispute to express their wishes; the forms of expressing wishes include words and actions; the specific construction of the prompt word library is: Analyze the mediation scenario and the needs of the parties, determine the design direction of the prompt words, draw on psychological theories, study the psychological changes and expression characteristics of the parties in the mediation process, and build a prompt word library containing various types of prompt words based on the needs analysis and psychological research results; consider the expression habits and cultural backgrounds of different parties and design a variety of prompt words. Continuously adjust the prompt words through practical application and feedback.
[0034] Pre-process the speech and behavioral data of the parties involved in the dispute; normalize multi-source and multi-modal data, obtain the corresponding text content, and clean, annotate and format the data.
[0035] The pre-processed speech and behavior data are input into the pre-trained large language model to identify the intention and emotional state of the parties involved, and obtain the intention label and emotional label; the pre-trained open source large language models, such as Qwen and Baichuan, are evaluated in terms of capabilities and performance to determine the final model selection. Based on the training set, the open source model is fine-tuned and trained, and after the training is completed, the model interface is called using the validation set to output the corresponding content to evaluate the model effect.
[0036] Establish a psychological intention intervention strategy library based on historical cases; specifically: Extract elements from historical case information and obtain historical case labels; Use the pre-trained large language model to perform intention recognition and emotion recognition on the conversations between the parties in historical case disputes and the mediators, and obtain the intention labels and emotion labels of the parties; Using psychological theories and research methods, historical cases are analyzed to obtain psychological intervention strategies, which are associated with historical case labels, intention labels, and emotional labels. Specifically: Based on the current case content, case elements are extracted to obtain the case label of the current case. Combined with the intention label and emotional label of the parties to the current dispute, the intention intervention strategy that matches the case label, intention label and emotional label is selected from the psychological intention intervention strategy library.
[0037] Analyze the current mediation case, combine the willingness label and emotion label, and select the willingness intervention strategy that matches the current mediation situation and the willingness of the parties from the psychology willingness intervention strategy library; Generate intervention content based on the selected intention intervention strategy to intervene in the intention of the parties to the dispute in order to mediate the dispute; specifically: Based on the selected intervention strategy and combined with the specific needs and circumstances of the parties, personalized intervention content is customized and the generated intervention content is output and presented to the mediator and the parties.
[0038] Use the pre-trained large language model to monitor the changes in the intentions and emotional states of the parties to the dispute in real time, collect feedback from the parties and mediators on the current intervention content, and use machine learning algorithms to dynamically adjust the intention intervention strategy and intervention content to improve the effectiveness of the intervention. Specifically: Use the large language model to continuously monitor the parties' willingness and emotional state during the mediation process; collect feedback from the parties and mediators on the current intervention content; dynamically adjust the willingness intervention strategy and intervention content based on the monitoring results and feedback; and evaluate the effectiveness of the adjusted intervention content.
[0039] As a preferred solution, the present invention also provides a privacy protection mechanism.
[0040] The protection principles include: Minimization: Collect only the necessary information relevant to the mediation and avoid excessive collection.
[0041] Anonymization: The collected information is anonymized to remove personally identifiable information.
[0042] Encrypted storage: Use encryption technology to store information to prevent data leakage.
[0043] Access Control: Strictly control access rights to information to ensure that only authorized personnel can access it.
[0044] The specific protection measures are: Data desensitization: When collecting and storing data, sensitive information such as name, ID number, etc. is desensitized.
[0045] Encrypted transmission: During data transmission, encryption technology is used to ensure data security.
[0046] Access audit: Record all access and operation behaviors to data for traceability and auditing.
[0047] Compliance review: Regularly conduct compliance reviews of privacy protection measures to ensure that they comply with relevant laws and regulations.
[0048] Example 2
[0049] The present invention proposes a psychological identification and intervention system for dispute parties based on psychology and artificial intelligence corresponding to the method of embodiment 1, comprising: A prompt word library construction module is used to construct a prompt word library. The prompt words are used to guide the parties to the dispute to express their wishes. The forms of expressing wishes include words and behaviors. A pre-processing module, used to pre-process the speech and behavior data of the parties to the dispute; The recognition module is used to input the pre-processed speech and behavior data into the pre-trained large language model to identify the intention and emotional state of the parties and obtain the intention label and emotional label; An intervention strategy library building module is used to build a psychology intention intervention strategy library based on historical cases; The selection module is used to analyze the current mediation case, combine the willingness label and the emotion label, and select the willingness intervention strategy that matches the current mediation situation and the willingness of the parties from the psychology willingness intervention strategy library; A generation module, used for generating intervention content based on the selected intention intervention strategy, wherein the intervention content is used for intervening in the intention of the parties to the dispute to mediate the dispute; The dynamic adjustment module is used to use the pre-trained large language model to monitor the changes in the intentions and emotional states of the parties to the dispute in real time, collect feedback from the parties and mediators on the current intervention content, and dynamically adjust the intention intervention strategy and intervention content.
[0050] The implementation of each module and module function in the system is completely consistent with the steps of the method in Example 1, so it will not be repeated here. The functional architecture of the system is as follows Figure 2 shown.
[0051] Example 3
[0052] The present invention provides an electronic device, such as Figure 4 As shown, it includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as in Example 1 is implemented.
[0053] Example 4
[0054] The present invention proposes a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as in Example 1.
[0055] The user interface diagram of the product developed after the actual application of the present invention is as follows Figure 3 shown.
[0056] In the embodiments disclosed in the present application, the computer storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. The computer 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. More specific examples of computer storage media may include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
[0057] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0058] The above are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should be regarded as the protection scope of the present invention.
Claims
1. A method for psychological identification and intervention of dispute parties based on psychology and artificial intelligence, characterized in that: The following steps are involved: Construct a prompt word library to guide the parties to the dispute to express their wishes; the forms of expressing wishes include words and actions; Pre-processing of the speech and behavior data of the parties involved in the dispute; Input the pre-processed speech and behavior data into the pre-trained large language model to identify the intention and emotional state of the parties involved, and obtain intention labels and emotional labels; Establish a psychological intervention strategy library based on historical cases; Analyze the current mediation case, combine the willingness label and emotion label, and select the willingness intervention strategy that matches the current mediation situation and the willingness of the parties from the psychology willingness intervention strategy library; Generate intervention content based on the selected intention intervention strategy to intervene in the intention of the parties to the dispute in order to mediate the dispute; Use the pre-trained large language model to monitor in real time the changes in the intentions and emotional states of the parties to the dispute, collect feedback from the parties and mediators on the current intervention content, and dynamically adjust the intention intervention strategy and intervention content.
2. The psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as claimed in claim 1 is characterized in that: The construction of the prompt word library is specifically as follows: Analyze the mediation scenario and the needs of the parties, determine the design direction of the prompt words, draw on psychological theories, study the psychological changes and expression characteristics of the parties during the mediation process, and build a prompt word library containing various types of prompt words based on demand analysis and psychological research results; continuously adjust the prompt words through practical application and feedback.
3. The psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as claimed in claim 1 is characterized in that: The specific examples of establishing a psychological intention intervention strategy library based on historical cases are: Extract elements from historical case information and obtain historical case labels; Use the pre-trained large language model to perform intention recognition and emotion recognition on the conversations between the parties in historical case disputes and the mediators, and obtain the intention labels and emotion labels of the parties; Utilizing psychological theories and research methods, historical cases are analyzed to obtain psychological intention intervention strategies, which are then associated with historical case labels, intention labels, and emotional labels.
4. The psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as claimed in claim 1, characterized in that: The intention intervention strategy selected from the psychology intention intervention strategy library that matches the current mediation situation and the parties' intentions is specifically: Based on the current case content, case elements are extracted to obtain the case label of the current case. Combined with the intention label and emotional label of the parties to the current dispute, the intention intervention strategy that matches the case label, intention label and emotional label is selected from the psychological intention intervention strategy library.
5. The psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as claimed in claim 1, characterized in that: The intervention content generated based on the selected intention intervention strategy is specifically: Based on the selected intervention strategy and combined with the specific needs and circumstances of the parties, personalized intervention content is customized and the generated intervention content is output and presented to the mediator and the parties.
6. The psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as claimed in claim 1, characterized in that: The dynamic adjustment willingness intervention strategy and intervention content are specifically as follows: Use the large language model to continuously monitor the parties' willingness and emotional state during the mediation process; collect feedback from the parties and mediators on the current intervention content; dynamically adjust the willingness intervention strategy and intervention content based on the monitoring results and feedback; and evaluate the effectiveness of the adjusted intervention content.
7. The psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as claimed in claim 1 is characterized in that: The method also includes protecting data privacy using a privacy protection mechanism, specifically including: When collecting and storing data, sensitive information is desensitized, and encryption technology is used to ensure data security during data transmission; all access and operations to data are recorded for traceability and auditing; and compliance reviews of privacy protection mechanisms are conducted regularly.
8. A psychological identification and intervention system for dispute parties based on psychology and artificial intelligence, characterized in that: include: A prompt word library construction module is used to construct a prompt word library. The prompt words are used to guide the parties to the dispute to express their wishes. The forms of expressing wishes include words and behaviors. A pre-processing module, used to pre-process the speech and behavior data of the parties to the dispute; The recognition module is used to input the pre-processed speech and behavior data into the pre-trained large language model to identify the intention and emotional state of the parties and obtain the intention label and emotional label; An intervention strategy library building module is used to build a psychology intention intervention strategy library based on historical cases; The selection module is used to analyze the current mediation case, combine the willingness label and the emotion label, and select the willingness intervention strategy that matches the current mediation situation and the willingness of the parties from the psychology willingness intervention strategy library; A generation module, used for generating intervention content based on the selected intention intervention strategy, wherein the intervention content is used for intervening in the intention of the parties to the dispute to mediate the dispute; The dynamic adjustment module is used to use the pre-trained large language model to monitor the changes in the intentions and emotional states of the parties to the dispute in real time, collect feedback from the parties and mediators on the current intervention content, and dynamically adjust the intention intervention strategy and intervention content.
9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for psychological identification and intervention of dispute parties based on psychology and artificial intelligence as described in any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium storing a computer program, characterized in that: The computer program enables the computer to execute the psychological identification and intervention method for dispute parties based on psychology and artificial intelligence as described in any one of claims 1-7.