Biometric Media Augmentation for Personalized Viewer Wellbeing
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Solution Overview
Problem
Existing technologies for providing content to viewers do not consider viewer responses, biometrics, or health profiles, limiting their effectiveness in enhancing wellbeing.
Innovation Solution
A method and system that receive viewer context variables through sensors, generate augmented media content based on these variables, and transmit it for personalized presentation, incorporating layered content and biometric feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional content delivery methods are used, then system simplicity is maintained, but viewer wellbeing enhancement is limited due to lack of personalization and real-time adaptation
Solution Approach 1:
The system segments content into multiple layers (base layer and augmentation layers) that can be independently processed and delivered. Each layer serves specific functionality, allowing the system to manage complexity through modular content structure while achieving high adaptability through selective layer composition based on viewer context.
Solution Approach 2:
The system performs preliminary actions by pre-processing content into layered structures and pre-establishing delivery pipelines for different content types. This preparation enables rapid real-time adaptation without requiring complex on-the-fly processing, thus improving adaptability while controlling system complexity.
2Reliability
If viewer biometrics and responses are monitored in real-time, then content effectiveness for wellbeing enhancement is improved, but data processing complexity and energy consumption increase
Solution Approach 1:
The system extracts only the essential biometric parameters needed for content adaptation (such as heart rate, eye tracking metrics) rather than processing all available sensor data. This selective extraction maintains content effectiveness by focusing on key wellbeing indicators while reducing energy consumption associated with comprehensive data processing.
Solution Approach 2:
The system implements self-service mechanisms where the content delivery system automatically adjusts content parameters based on biometric feedback without requiring external intervention or complex analytical processing. This autonomous adaptation maintains reliability while minimizing energy expenditure through rule-based rather than computationally intensive decision-making.
3Productivity
If layered augmented content is generated and transmitted, then viewer engagement and wellbeing enhancement are improved, but data transmission volume and processing requirements increase
Solution Approach 1:
The system applies local quality by delivering different content layers to different viewer segments based on their specific context and needs. Rather than transmitting complete layered content to all viewers, the system selectively delivers only the relevant augmentation layers to each viewer, thereby improving engagement through personalization while reducing overall data transmission volume.
Solution Approach 2:
The system implements partial action by transmitting only the necessary portion of augmented content based on viewer context. Instead of delivering all possible augmentation layers, the system transmits a subset tailored to individual viewer needs, maintaining high engagement through relevant content while minimizing data volume through selective delivery.
Data Source
AI summary
Disclosed herein is a method for providing content to viewers for enhancing wellbeing of the viewers, in accordance with some embodiments. Accordingly, the method comprises receiving a media content, receiving a broadcaster preference comprising a viewer context variable, generating an augmentation content for the enhancing of the wellbeing of a viewer based on the viewer context variable and the media content, transmitting the augmented media content to a viewer device. Further, the viewer device presents the augmented media content to the viewer based on a viewer context value corresponding to the viewer context variable corresponding to a viewer sensor comprised in the viewer device. Further, the viewer sensor generates the viewer context value based on detecting a response of the viewer corresponding to the augmented media content.