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CN-121997070-A - Personality self-adaption-based personalized communication scheme generation method and device

CN121997070ACN 121997070 ACN121997070 ACN 121997070ACN-121997070-A

Abstract

The application discloses a personalized communication scheme generation method and device based on personality adaptation, which are characterized by receiving a communication scene input by a user, extracting personality characteristics of the user and personality characteristics of an interactive object, generating a behavior disorder diagnosis report according to the personality characteristics of the user and personality characteristics of the interactive object and combining a personality disorder rule base, generating a scenario simulation interaction task according to the behavior disorder diagnosis report, transmitting the scenario simulation interaction task to the user for interaction, collecting interaction data of the scenario simulation interaction task completed by the user, comparing the interaction data with risk points in the behavior disorder diagnosis report to obtain a comparison result, generating an intervention instruction according to the comparison result, and performing real-time intervention and correction on non-adaptive behavior or psychological state of the user according to the intervention instruction, thereby generating a final communication scheme, and improving behavior change efficiency and continuous power of the user in multiple fields such as interpersonal communication, sales, body building training, learning growth and the like.

Inventors

  • QIAN YU
  • LI YICHENG
  • SUN ZHONGKAI

Assignees

  • 北京齿伦转动科技有限公司

Dates

Publication Date
20260508
Application Date
20260126

Claims (10)

  1. 1. The personalized communication scheme generation method based on personality adaptation is characterized by comprising the following steps of: step 1, receiving a communication scene input by a user; step 2, extracting user personality characteristics and interactive object personality characteristics from the communication scene according to a pre-constructed bidirectional personality model; step 3, generating a behavior disorder diagnosis report according to the personality characteristics of the user and the personality characteristics of the interactive object and combining a pre-constructed personality disorder rule base; Step 4, generating a scene simulation interaction task according to the behavior disorder diagnosis report, and sending the scene simulation interaction task to a user for interaction; Step 5, collecting interactive data of the scene simulation interactive task completed by a user through voice, text or limb actions, and comparing the interactive data with risk points in the behavior disorder diagnosis report to obtain a comparison result; and 6, generating an intervention instruction according to the comparison result, and performing real-time intervention and correction on the unadapted behavioral or psychological state downslide of the user according to the intervention instruction, so as to generate a final communication scheme.
  2. 2. The personalized communication scheme generating method according to claim 1, further comprising retrieving and recommending most relevant policy entries from a pre-built policy database to a user based on the behavioral disturbance diagnostic report.
  3. 3. The personalized communication scheme generating method based on personality adaptation according to claim 1, further comprising recording behavior data of user interaction, obstacle point breakthrough times and final task success rate, and constructing a dynamic evolution model about specific capability of the user, wherein the dynamic evolution model is quantized and used for evaluating improvement degree of the user on a certain behavior obstacle point, and autonomously planning and recommending a task sequence of the next step based on the improvement degree.
  4. 4. The personalized communication scheme generating method according to claim 1, wherein in step 2, the user personality characteristics are further obtained through standardized psychology scales or user historical interaction behavior data.
  5. 5. The personalized communication scheme generating method according to claim 1, wherein in step 3, the behavioral disturbance diagnostic report comprises core psychological craving, deep fear and non-adaptive behaviors possibly caused thereby of the user under a specified target task.
  6. 6. The personalized communication scheme generating method based on personality adaptation according to claim 1, wherein in step 5, the interactive data is compared with risk points in the behavioral disorder diagnostic report in a multidimensional, continuous and probabilistic manner.
  7. 7. The personalized communication scheme generating method according to claim 1, wherein in step 6, the intervention instruction is personalized information of direct user core craving or deep fear.
  8. 8. The personalized communication scheme generating device based on personality adaptation is characterized by comprising: the communication scene receiving module is used for receiving a communication scene input by a user; The personality characteristic extraction module is used for extracting the personality characteristics of the user and the personality characteristics of the interaction object from the communication scene according to a pre-constructed bidirectional personality model; The behavior disorder diagnosis report generation module is used for generating a behavior disorder diagnosis report according to the personality characteristics of the user and the personality characteristics of the interaction object and combining a pre-constructed personality disorder rule base; the scene simulation interaction task generating module is used for generating a scene simulation interaction task according to the behavior disorder diagnosis report and transmitting the scene simulation interaction task to a user for interaction; The risk comparison module is used for collecting interactive data of the scene simulation interactive task completed by a user through voice, text or limb actions, and comparing the interactive data with risk points in the behavior disorder diagnosis report to obtain a comparison result; And the communication scheme generating module is used for generating an intervention instruction according to the comparison result, and performing real-time intervention and correction on the unadapted behavioral or psychological state downslide of the user according to the intervention instruction so as to generate a final communication scheme.
  9. 9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
  10. 10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.

Description

Personality self-adaption-based personalized communication scheme generation method and device Technical Field The application relates to the technical field of man-machine interaction, in particular to a personalized communication scheme generation method and device based on personality self-adaption. Background With the rapid development of artificial intelligence and man-machine interaction technologies, various intelligent coaching systems (such as online learning platforms, sales, fitness instruction APP, communication training tools, etc.) have been widely applied to the fields of skill culture, habit development and behavior improvement. Such systems typically provide teaching, feedback, and motivation to the user based on preset lesson content, standardized training procedures, or generic behavioral models. However, the existing system still has obvious limitation in realizing personalized and deep behavioral intervention, and mainly comprises the following aspects: Firstly, the existing system mostly adopts a content pushing and training mode of 'one-cut', and lacks of deep recognition and modeling of individual differences of users, especially personality traits, psychological motivation and behavior modes. Most systems simply feed back according to the behavior data of the user surface, and fail to touch intrinsic psychological factors (such as core craving, emotional response modes, decision preferences and the like) influencing behavior execution, so that training contents are disjointed from the actual psychological states of the user, and effective crossing from 'knowing' to 'doing' is difficult to achieve. Second, the prior art generally has the problem of "knowledge and context application separation". Systems often focus on knowledge teaching or skill demonstration, but lack highly simulated context simulation and real-time behavior guidance mechanisms. When a user enters a real scene after theoretical learning, the user cannot effectively apply learning due to tension, habitual reaction or psychological obstruction, but the system cannot provide immediate and accurate psychological and behavioral support at the key node, so that the conversion and solidification of training results are affected. In addition, most of the motivation and feedback mechanisms of existing systems stay on top of the layer, such as rewards for points, badges for achievement, general encouragement sentences, etc., and fail to combine with the deep psychological causes of the user (such as the need for sense of security, control, sense of identity). This external motivation is of short duration and is difficult to motivate the user to continue with an inherent driving force, especially when the user encounters frustration, enters a plateau or faces psychological resistance, where the support of the system is very limited. In terms of personality modeling and multimodal data analysis, although some studies have attempted to infer user traits through questionnaires or simple interaction data, their modeling dimensions are single, data sources are limited, and user personality characteristics cannot be dynamically associated with specific behavioral obstacle points. Meanwhile, the existing system often ignores the feature modeling of other parties (such as communication objects and task environments) in interaction, so that the deviation between a training scene and a real situation is larger, and the pertinence and the mobility of training are reduced. In summary, the problems of 'knowledge and application disjoint', 'thousand people' and 'motivation invalidation' are commonly existed in the current general coaching class APP, online courses and traditional consultation. The theoretical knowledge and method learned by the user cannot be effectively implemented in the actual situation due to the action of the inherent personality mode (inherent behavior reaction definite form), so that the learning effect and action persistence are poor. Disclosure of Invention Therefore, the application provides a personality-adaptive personalized communication scheme generation method and device, which are used for solving the problems of poor learning effect and action persistence in the prior art. In order to achieve the above object, the present application provides the following technical solutions: In a first aspect, a personalized communication scheme generating method based on personality adaptation includes: step 1, receiving a communication scene input by a user; step 2, extracting user personality characteristics and interactive object personality characteristics from the communication scene according to a pre-constructed bidirectional personality model; step 3, generating a behavior disorder diagnosis report according to the personality characteristics of the user and the personality characteristics of the interactive object and combining a pre-constructed personality disorder rule base; Step 4, generating a scene simulat