Virtual Robot Empathy via Cognitive Perception Analysis
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Solution Overview
Problem
Current virtual robots lack user-friendliness and interactivity in human-machine interaction, resulting in poor user experience due to their mechanical response mechanisms.
Innovation Solution
A virtual-life-based human-machine interaction method and apparatus that performs perception analysis on users to obtain cognitive data, generates dynamic virtual interactive animations based on this data, and outputs empathetic responses, enabling the virtual robot to simulate real and natural interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a virtual robot uses a predetermined answer matching mechanism, then the response speed is fast, but the user-friendliness and interactivity are poor
Solution Approach 1:
The patent applies dynamics by transitioning from static predetermined answer matching to dynamic perception analysis. The virtual robot dynamically adjusts its response based on real-time perception of user cognitive data, emotional states, and interaction context, making the interaction mechanism flexible and adaptive rather than rigid and predetermined.
Solution Approach 2:
The patent changes key parameters of the interaction mechanism by introducing perception analysis capabilities that process user input data, cognitive data, and emotional indicators. These parameter changes enable the system to generate context-aware responses rather than selecting from fixed predetermined answers, significantly improving user-friendliness.
2Reliability
If a virtual robot implements perception analysis and dynamic animation generation, then the interactivity and naturalness are improved, but the system complexity increases
Solution Approach 1:
The patent segments the complex interaction system into distinct functional modules: perception analysis module, cognitive data processing module, response generation module, and animation generation module. Each module handles specific tasks independently, making the overall complex system more manageable and maintainable while achieving high interaction quality.
Solution Approach 2:
The patent introduces cognitive data as an intermediary between user input and system response. This intermediary layer processes and structures raw perception data into meaningful cognitive representations, enabling more natural and reliable interactions while managing system complexity through structured data transformation.
3Ease of operation
If a virtual robot uses mechanical response matching, then the system complexity is low, but the user experience is poor
Solution Approach 1:
The patent implements self-service by enabling the virtual robot to automatically perform perception analysis on user input, extract cognitive data, determine appropriate responses, and generate matching animations without human intervention. This automated perception and reasoning process significantly enhances user experience while maintaining high extent of automation.
Data Source
AI summary
Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for virtual-life-based human-machine interaction. One of the method includes obtaining cognitive data for a target user in response to a human-machine interaction from the target user by performing perception analysis on the target user. Target response content is identified based on the cognitive data and sent to the target user. A virtual interactive animation that comprises a virtual life image is dynamically generated based on the cognitive data and the target response content, where the virtual life image has an animation effect that matches the human-machine interaction performed by the target user.