Wearable Content Adaptation for Sensitive Media
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Solution Overview
Problem
Wearable technology devices struggle to mitigate adverse effects on users from sensitive content, such as phobias or stress-inducing media, as they lack the ability to dynamically modify content in real-time based on user preferences and biometric feedback.
Innovation Solution
A system and method for wearable devices that identify sensitive entities in media content, assess their contextual impact, and modify the content using a content adaptor module to reduce adverse effects, incorporating phobia indicators, entity role identifiers, and user preferences, while monitoring biometric responses to refine modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If wearable devices display media content to users, then information delivery is improved, but adverse effects on users from sensitive content (phobias, stress) worsen
Solution Approach 1:
The system performs preliminary analysis of media content to identify sensitive entities (people, places, things) before displaying them to the user. By pre-processing the content and creating a map of sensitive elements, the system can prepare appropriate modifications in advance, allowing information to be delivered while harmful effects are preemptively mitigated through blurring or replacement of identified sensitive content.
Solution Approach 2:
The system introduces an intermediary processing layer between the media content source and the user display. This intermediary component analyzes the content, identifies sensitive entities using entity recognition technology, and applies modifications such as blurring or replacement. This mediator enables information delivery while filtering out harmful effects, resolving the contradiction between providing content and protecting the user.
2Ease of operation
If wearable devices modify content in real-time, then user comfort is improved, but device complexity worsens
Solution Approach 1:
The content modification system is segmented into distinct functional modules: entity recognition module, sensitive content identification module, contextual impact assessment module, and content modification module. Each module performs a specific task in the content processing pipeline, making the overall complex system manageable through functional decomposition. This segmentation allows real-time modification capabilities while organizing complexity into discrete, manageable components.
Solution Approach 2:
The system employs machine learning models and entity recognition algorithms that automatically analyze and modify content without requiring manual user intervention. The system self-adjusts based on identified sensitive content and contextual factors, performing real-time modifications autonomously. This self-service capability provides user comfort through automatic content adaptation while reducing the operational complexity burden on the user.
3Manufacturing precision
If wearable devices assess contextual impact of sensitive entities, then content modification accuracy is improved, but processing time worsens
Solution Approach 1:
The system applies different levels of analysis and modification to different regions or entities within the media content based on their sensitivity and contextual impact. High-impact sensitive entities receive more thorough analysis and precise modification, while less critical elements receive streamlined processing. This localized quality approach ensures accurate content modification where needed while reducing processing time for less critical content, balancing precision and speed.
Solution Approach 2:
The system dynamically adjusts processing parameters such as analysis depth, entity recognition sensitivity, and modification intensity based on the identified contextual impact of sensitive entities. For high-impact entities, the system increases processing thoroughness to ensure accurate modification, while for low-impact entities, it reduces processing intensity to maintain faster overall performance. This parameter adaptation allows the system to balance modification accuracy with processing time efficiency.
Data Source
AI summary
Embodiments of the present invention provide methods, computer program products, and systems for adapting digital content. Embodiments of the present invention can be used to identify one or more entities in media content. Embodiments of the present invention can determine that an identified entity of the one more identified entities is associated with sensitive material. Embodiments of the present invention can, in response to determining that the identified entity of the one or more identified entities is sensitive, determine a contextual impact of the identified entity. Embodiments of the present invention can also be used to modify the media content based on the determined contextual impact of the identified entity.