Context-Aware Audio Generation for User Interface Traversal
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Solution Overview
Problem
Existing user interface (UI) technologies rely on pre-generated audio files, limiting flexibility and personalization, and failing to provide context-aware audio associations with UI elements, resulting in a less intuitive and engaging user experience.
Innovation Solution
A method and system for generating an audio signal during traversal events in a UI, which captures audio streams and UI frames, extracts audio features and UI elements, determines audio gain and UI context, and creates an audio map with biased and unbiased audio files to produce context-aware audio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pre-generated audio files are used for UI navigation, then the system is simple to implement, but the audio experience lacks flexibility and personalization
Solution Approach 1:
The patent implements dynamic audio generation by capturing real-time audio streams and UI frames during traversal events, extracting audio features dynamically, and generating context-aware audio signals on-the-fly rather than playing pre-generated files. This makes the audio system adaptive to user interactions while maintaining manageable complexity through modular processing steps.
Solution Approach 2:
The system changes audio parameters dynamically by determining audio gain based on prioritization and weighted average of audio features, and generating different audio maps (biased and unbiased audio files) based on UI context. This allows the audio output to adapt to different UI states and user preferences without requiring a completely complex system architecture.
2Adaptability or versatility
If pre-generated audio files are used, then the system is easy to implement, but context-aware audio associations with UI elements cannot be provided
Solution Approach 1:
The patent implements feedback mechanisms by capturing audio streams and UI frames during traversal events, extracting audio features, determining UI context based on contextual scores of UI elements, and using this feedback to generate context-aware audio signals. This closed-loop approach enables context-awareness while managing processing complexity through structured feedback processing.
Solution Approach 2:
The system performs preliminary actions by capturing and processing audio streams and UI frames in real-time during traversal events, extracting audio features before final audio generation. This preliminary processing enables context-aware audio associations without overwhelming system complexity at the final output stage.
3Reliability
If pre-generated audio playbacks are used, then the system is simple, but synchronization with UI elements and actions is poor
Solution Approach 1:
The patent ensures continuous synchronization by capturing audio streams and UI frames continuously during traversal events, processing audio features and UI context in real-time, and generating audio signals that are continuously synchronized with UI element traversal. This continuous processing maintains reliable synchronization without excessive system complexity.
Data Source
AI summary
A method for generating an audio signal includes capturing, during a traversal event, at least one audio stream associated with one or more of a content, an ambient audio stream, and at least one user interface (UI) frame; obtaining a set of audio features, and obtaining one or more of UI elements; determining an audio gain based on a prioritization and a weighted average of the extracted set of audio features; determining a UI context based on a UI contextual score of the extracted one or more UI elements; obtaining an audio map comprising at least one biased audio file and at least one unbiased audio file; and obtaining the audio signal based on a priority order assigned to the at least one biased audio file and the at least one unbiased audio file associated with the audio map.