Emotion-Responsive Web Technology Using Voice Analysis
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Solution Overview
Problem
Current web technologies are limited in responding to user emotions as they primarily detect single emotions, such as frustration or happiness, and do not adapt their design or functionality based on complex emotional mixtures, leading to a lack of tailored user experiences.
Innovation Solution
A web technology system that utilizes voice recognition and analysis to generate percentages or levels of detected emotions, allowing for the activation of multiple defined designs or functions based on these emotional mixtures, enabling dynamic changes in the user interface and functionality in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voice recognition services detect only single emotions (frustration or happiness), then the system simplicity is maintained, but the emotional analysis precision and user experience personalization are limited
Solution Approach 1:
The patent segments emotional analysis into multiple independent emotion detection channels, each detecting a specific emotion (frustration, happiness, surprise, etc.). Each channel processes voice patterns independently and outputs a confidence score, allowing the system to handle complex emotional states by combining results from multiple segmented detection channels rather than using a single complex detector
Solution Approach 2:
The patent transitions from single-dimension emotion detection (one emotion at a time) to multi-dimensional emotion detection by adding emotion type as an additional dimension. The system now outputs not just whether an emotion is present, but which specific emotion and with what intensity, creating a multi-dimensional emotional state space that enables more precise analysis
2Adaptability or versatility
If web technologies activate multiple designs or functions based on emotional mixtures, then the adaptability to user emotions is improved, but the device complexity and control difficulty increase
Solution Approach 1:
The patent implements dynamic adaptation by continuously monitoring emotional states and automatically adjusting web technology behavior in real-time. The system dynamically switches between different predefined designs and functions based on current emotional detection results, allowing the interface to adapt its appearance, content, and interactions according to the user's emotional state without manual intervention
Solution Approach 2:
The patent applies preliminary action by pre-defining multiple designs and functions that correspond to different emotional states before deployment. During operation, the system only needs to detect the current emotion and activate the pre-prepared corresponding design or function, avoiding the complexity of creating adaptive logic from scratch and simplifying real-time control
3Loss of information
If voice information is analyzed to generate percentages of different emotions, then the information quality about user emotions is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by focusing detection on the most relevant voice features and emotions for each specific context rather than analyzing all possible emotional dimensions equally. The system can adjust the number and type of emotion channels activated based on the situation, performing complete multi-emotion analysis only when necessary, thereby reducing average processing time while maintaining information quality when needed
Data Source
AI summary
In one example in accordance with the present disclosure, a method for a web technology responsive to mixtures of emotions includes receiving, from a user, voice information related to the web technology. The method includes generating, using a voice analysis service, percentages or levels of different emotions detected in the voice information. The method includes activating, in the web technology, at least one of multiple defined designs or functions based on the different emotions detected. Each design or function may be activated when a particular percentage or level of an emotion is detected or when a particular mixture of different emotions is detected.