Ambient Noise Triggering for Mobile Media Playback Accessibility
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Solution Overview
Problem
Navigating menus on mobile devices to invoke subtitles or closed captions for videos can be cumbersome, requiring multiple actions, especially in noisy environments where ambient noise levels may affect the user experience.
Innovation Solution
A mobile device automatically triggers actions related to content playback, such as invoking subtitles or adjusting audio, based on sampled ambient noise levels by comparing them to reference data, using audio fingerprints to identify environments and adjust settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subtitles or closed captions are invoked by selecting an option from a menu screen, then the user can access subtitles or closed captions, but the process becomes cumbersome requiring multiple actions
Solution Approach 1:
The system performs preliminary analysis of ambient noise levels and audio fingerprints before user interaction, automatically determining when subtitles should be invoked. This eliminates the need for users to navigate menus manually, as the action is already prepared and executed based on environmental conditions.
Solution Approach 2:
The system serves itself by automatically detecting ambient noise conditions and autonomously invoking subtitles or adjusting audio settings without requiring user intervention. The mobile device monitors its own environment and makes decisions about content playback adjustments independently.
2Adaptability or versatility
If manual menu navigation is required to select audio options, then users can control audio settings, but the process becomes complex requiring multiple actions
Solution Approach 1:
The system automatically adapts audio settings by monitoring ambient noise levels and comparing audio fingerprints with reference data. It self-adjusts playback parameters such as volume, subtitle invocation, and audio muting without requiring users to navigate complex menus or make manual selections.
Solution Approach 2:
The system dynamically changes playback parameters (subtitle invocation, audio volume, audio muting) based on real-time analysis of ambient noise levels and audio fingerprint matching. These parameter adjustments occur automatically in response to environmental conditions rather than user input.
3Extent of automation
If ambient noise sampling and comparison is implemented, then automatic subtitle invocation is achieved, but the system requires additional processing
Solution Approach 1:
The system analyzes ambient noise parameters and compares them against stored reference data to determine when subtitles should be invoked. By monitoring specific acoustic parameters and matching patterns against pre-stored references, the system achieves automatic invocation with optimized processing requirements.
Data Source
AI summary
Ambient noise sampled by a mobile device from a local environment is used to automatically trigger actions associated with content currently playing on the mobile device. In some implementations, subtitles or closed captions associated with the currently playing content are automatically invoked and displayed on a user interface based on a level of ambient noise. In some implementations, audio associated with the currently playing content is adjusted or muted. Actions can be automatically triggered based on a comparison of the sampled ambient noise, or an audio fingerprint of the sampled ambient noise, with reference data, such as a reference volume level or a reference audio fingerprint. In some implementations, a reference volume level can be learned on the mobile device based on ambient noise samples.