Synchronized Physical-Reaction Compositions for Shared Viewing
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Solution Overview
Problem
Existing shared content viewing sessions lack the ability to synchronize and present visual representations of users' physical reactions in real-time, limiting the engagement and interaction among multiple viewers.
Innovation Solution
A method and system that detects synchronized physical reactions among multiple users during a shared content viewing session, generates visual content representing these reactions, and outputs a composition for presentation, utilizing cameras and machine learning models to analyze facial and body language.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple users view content in a shared session without reaction synchronization, then device complexity is reduced, but viewer engagement and interaction are limited
Solution Approach 1:
The system segments user reactions into detectable physical components (facial expressions, body language) that can be independently analyzed by machine learning models. Each user's reactions are processed separately and then synchronized temporally to create coordinated visual presentations, enabling engagement without requiring complex real-time interaction infrastructure
Solution Approach 2:
The system creates visual copies or representations of users' physical reactions through camera capture and image processing. These visual copies are then synchronized and presented together, allowing viewers to see aggregated reactions without requiring the actual users to interact directly, thus maintaining engagement while limiting system complexity
2Adaptability or versatility
If the system detects and processes physical reactions from multiple users, then viewer engagement is enhanced, but loss of time for processing and synchronizing reactions increases
Solution Approach 1:
The system performs preliminary detection and processing of physical reactions during the content viewing session itself, rather than requiring post-processing. By continuously monitoring and temporarily storing reaction data during playback, the system prepares synchronized visual presentations in advance, reducing the time loss associated with real-time processing
Solution Approach 2:
The system processes physical reactions at periodic intervals rather than continuously in real-time. By sampling user reactions at regular time points and synchronizing these periodic detections, the system reduces overall processing time while maintaining sufficient engagement quality
3Adaptability or versatility
If the system generates and presents visual compositions of user reactions, then viewer engagement increases, but device complexity increases due to additional processing requirements
Solution Approach 1:
The system uses universal machine learning models that can detect multiple types of physical reactions (facial expressions, body language) using the same underlying technology. This multi-functional approach allows the system to handle diverse reaction types without requiring separate specialized processing systems for each reaction type, thus managing complexity while maintaining engagement
Data Source
AI summary
In one aspect, an example method in connection with a shared content viewing session in which multiple users are receiving and viewing respective instances of the same media content in a synchronized manner is disclosed. The example method includes (i) detecting that each of the multiple users respectively exhibits a threshold extent of physical reaction around the same time; (ii) responsive to the detecting, for each of the multiple users, generating and/or storing respective visual content representing that user's physical reaction; (iii) generating a visual content composition that includes at least the generated and/or stored visual content for each of the multiple users; and (iv) outputting for presentation, the generated visual content composition.