Emoji-Based Media Cues for Character Mood Accessibility
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Solution Overview
Problem
Existing media accessibility features do not adequately cater to the emotional needs of neurodivergent individuals, particularly those with autism spectrum disorders, leading to a lesser media consumption experience.
Innovation Solution
A system and method that utilizes machine learning models to analyze media content and provide visual accompaniments, such as emojis and text, to enhance emotional accessibility by indicating the moods of characters, which can be synchronized with the media playback and selectively displayed to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional accessibility features (closed captioning, audio description) are provided, then accessibility for audio-impaired and visually-impaired users is improved, but emotional accessibility for neurodivergent individuals remains insufficient
Solution Approach 1:
The system creates emotional indicators that serve multiple functions: they provide emotional context for neurodivergent users, supplement emotional information for all viewers, and can be integrated with existing accessibility features like closed captions and audio description, making the solution universally beneficial across different user groups
Solution Approach 2:
Visual indicators act as an intermediary element that bridges the gap between media content and neurodivergent users by translating subtle emotional cues in video and audio into explicit, easily interpretable visual signals that complement traditional accessibility features
2Loss of information
If machine learning models analyze media content to provide emotional cues, then emotional accessibility is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis by pre-identifying and tagging emotional segments in media content before playback, storing these pre-processed emotional indicators so they can be quickly retrieved and displayed during media playback without adding real-time processing delays
Solution Approach 2:
The system replaces complex real-time emotional analysis during playback with pre-computed emotional indicators stored as metadata, substituting computational mechanics with data retrieval and display mechanics that are significantly faster and more efficient
3Ease of operation
If visual indicators are displayed for all users, then emotional accessibility is improved for neurodivergent individuals, but distraction for other users may increase
Solution Approach 1:
The system applies different display qualities to different user groups by detecting user preferences and device characteristics, providing full emotional indicators to neurodivergent users while offering simplified or optional indicators to other users, ensuring each user receives appropriately tailored information without unnecessary distraction
Solution Approach 2:
The visual indicators are designed to be dynamic and adaptive, changing their visibility, intensity, and detail based on user preferences, media context, and viewing conditions, allowing the system to optimize between accessibility and distraction avoidance in real-time
Data Source
AI summary
A system configured to enhance emotional accessibility of media content depicting one or more characters includes a computing platform having a hardware processor and a memory storing software code. The hardware processor executes the software code to obtain annotation metadata identifying one or more emotions of at least one character, determine, based on the one or more emotions, a mood of the at least one character. The hardware processor further executes the software code to identify, based on the mood of the at least one, one of a plurality of emojis for visually communicating that mood, and generate a visual accompaniment to be displayed in synchronization with displaying the media content to enhance the emotional accessibility of the media content, wherein the visual accompaniment includes the one of the plurality of emojis.