Emotion-Adaptive Embodied Conversational Agent Response System
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Solution Overview
Problem
Conventional human-machine interfaces fail to incorporate variations in human behavior, attitude, and emotion, resulting in limited depth of expression and a lack of true emotional feedback, leading to jittery interactions and pre-determined reactions that do not provide a dynamic dialogue.
Innovation Solution
A system and method that determine a user's emotional state based on behavioral parameters, identify a response state for an Embodied Conversational Agent (ECA) using pre-defined probabilities, and transition the ECA's behavior accordingly, enabling natural and dynamic interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional interfaces use pre-determined reactions for evaluated human behavior, then the system complexity is reduced, but the emotional feedback depth and interaction quality deteriorate
Solution Approach 1:
The patent implements dynamic response selection where the ECA's reactions are not fixed but adapt based on detected emotional states. The system transitions from static pre-determined reactions to dynamic emotionally-aware responses, allowing the interface to adjust its behavior in real-time based on user emotional cues detected through behavioral parameters.
Solution Approach 2:
The system changes the parameter of response determination from fixed pre-determined values to emotionally-adjusted values. By introducing emotional state detection and using it to modulate response selection, the system transforms the nature of interactions from rigid to flexible, enhancing emotional feedback depth without requiring complete system redesign.
2Use of energy by moving object
If conventional interfaces provide limited depth in expression, then the processing requirements are reduced, but the engagement and interaction quality deteriorate
Solution Approach 1:
The system performs preliminary emotional state detection and analysis before generating responses. By pre-processing behavioral parameters to determine emotional states and selecting appropriate response states in advance, the system prepares emotionally-rich interactions without incurring high processing costs during actual conversation, thus maintaining engagement while controlling processing requirements.
3Loss of time
If the ECA reaction is pre-determined, then the response time is reduced, but the dynamic dialogue capability and emotional responsiveness deteriorate
Solution Approach 1:
The system pre-determines multiple possible response states associated with different emotional states and stores them for quick retrieval. During interaction, once the user's emotional state is detected, the system rapidly selects from pre-prepared response options, maintaining fast response times while enabling emotionally-appropriate dynamic dialogue through the selection process.
Data Source
AI summary
This disclosure relates generally to human-machine interaction. In one embodiment, an interaction device for providing the interaction between the user and the ECA is disclosed. The interaction device comprises a processor and a memory communicatively coupled to the processor. The memory stores processor instructions, which, on execution, causes the processor to receive conversation data of a user interacting with the ECA, wherein the ECA is presented on an interface of the interaction device. The processor further determines an emotional state of the user based on one or more behavioral parameters associated with the conversation data of the user. The processor identifies a response state for the ECA corresponding to the emotional state of the user, wherein the response state is identified from a plurality of response states based on a pre-defined probability for each response state. The processor further transitions behavior of the ECA based on the response state.