Intelligent Interactive System Emotion Recognition and Intention Analysis
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Solution Overview
Problem
Current intelligent interaction systems cannot analyze the deep intentions behind user messages and provide personalized, humanized experiences, as they only consider semantic content and not emotional states, leading to uniform responses for users with different emotional needs.
Innovation Solution
An intelligent interactive method and apparatus that combines emotion recognition and intention analysis to determine interactive instructions based on both the emotional state and semantic content of user messages, using modules for emotion recognition, basic intention recognition, and interactive instruction determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only semantic content analysis is performed on user messages, then the system structure remains simple, but the ability to understand deep user intentions and provide personalized responses deteriorates
Solution Approach 1:
The interaction system is segmented into multiple independent modules: emotion recognition module, basic intention recognition module, and interactive instruction determination module. Each module performs a specific function, allowing the system to analyze both emotional states and semantic content separately and then integrate the results for comprehensive user intention understanding.
Solution Approach 2:
The system transitions from single-dimensional semantic analysis to two-dimensional analysis by adding the emotional state dimension. The emotion recognition module extracts emotional features (such as joy, anger, sadness, neutrality) as an additional dimension alongside the traditional semantic content, enabling more comprehensive user intention understanding.
2Adaptability or versatility
If emotion recognition and intention analysis are combined, then personalized and humanized interactions are achieved, but the device complexity increases
Solution Approach 1:
The system is divided into specialized modules: emotion recognition module for analyzing emotional states, basic intention recognition module for semantic understanding, and interactive instruction determination module for generating personalized responses. This segmentation allows each module to focus on specific tasks while working together to achieve personalized interactions.
Solution Approach 2:
The interactive instruction determination module serves multiple functions: it integrates emotion recognition results, processes basic intention information, and generates appropriate interactive instructions. This multi-functional module reduces the need for separate components for each processing stage.
3Productivity
If only basic intention analysis is performed, then the processing speed remains fast, but the ability to provide humanized interactive experiences deteriorates
Solution Approach 1:
The emotion recognition module performs preliminary analysis of the user's emotional state before the main interaction processing. By pre-processing emotional features and making them available in advance, the system can quickly retrieve and apply appropriate emotional responses during interaction without adding significant processing delays.
Solution Approach 2:
The system automatically performs emotion recognition and integrates it with intention analysis without requiring manual intervention. The emotion recognition module independently processes emotional states and feeds results to the interactive instruction determination module, enabling automated personalized responses while maintaining processing efficiency.
Data Source
AI summary
Embodiments of the present invention provide an intelligent interactive method and apparatus, a computer device and a computer readable storage medium, which solves problems that a deep intention of a user message cannot be analyzed in an intelligent interactive manner in the prior art and humanized interactive experiences cannot be provided. The intelligent interactive method includes: obtaining an emotion recognition result according to a user message, where the user message includes at least a user voice message; performing an intention analysis according to a text content of the user voice message to obtain corresponding basic intention information; and determining a corresponding interactive instruction according to the emotion recognition result and the basic intention information.