Social intelligent agent interaction scheduling method and system based on context perception and threshold determination
By employing a context-aware and threshold-based social agent interaction scheduling method, utilizing the Transformer model and agent vector database, and setting thresholds for interaction scheduling, the method addresses the issues of realism and adaptability of social agents in complex environments, thereby improving user experience and the accuracy of interaction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGDONG UNIV OF TECH
- Filing Date
- 2026-03-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing social intelligent agents struggle to achieve highly realistic and adaptive interactions in complex environments, especially in the process of transitioning from the public domain to the private domain, where the user experience is inadequate.
By employing a context-aware and threshold-based social agent interaction scheduling method, this approach utilizes a pre-trained language model based on the Transformer architecture to extract social data features, constructs an agent vector database, and sets public response thresholds and private session thresholds to achieve comprehensive adaptation score calculation and interaction scheduling for agents.
It enhances the immersive experience of the user experience and the anthropomorphism of the intelligent agent, realizes the automatic conversion of public domain to private domain interaction, and improves the realism and accuracy of the social intelligent agent's response.
Smart Images
Figure CN122412901A_ABST