Dynamic Presentation System for Audience-Adaptive Content
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Solution Overview
Problem
Current electronic signage lacks the ability to monitor and adapt to audience response, as it typically displays content in a predetermined order without considering viewer engagement or demographics.
Innovation Solution
A computer-implemented method and system that analyzes media files, detects audience presence and characteristics, and dynamically adjusts the presentation based on audience feedback by selecting and ranking media files that have historically performed well with similar audiences, using techniques such as facial recognition and semantic analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is displayed in a predetermined order, then the presentation structure is simple and reliable, but the content may not be relevant to the current audience leading to ignored content
Solution Approach 1:
The system captures audience reactions through cameras and sensors, analyzes facial expressions and engagement metrics, and uses this feedback to dynamically adjust the presentation content and sequence, creating a closed-loop adaptive system
Solution Approach 2:
The presentation transitions from a static predetermined sequence to a dynamic adaptive sequence where content selection and ordering change in real-time based on detected audience characteristics and reactions
2Measurement precision
If audience detection and analysis features are added, then content relevance to audience is improved, but the device complexity increases
Solution Approach 1:
The system introduces intermediate components including cameras, sensors, and analysis software that bridge the gap between the audience and the presentation system, enabling indirect detection and analysis of audience characteristics without requiring direct interaction
Solution Approach 2:
The system replaces manual audience assessment with automated computer vision and machine learning algorithms that analyze facial expressions, eye movements, and other visual cues to infer audience engagement and demographics
3Ease of operation
If predetermined content is displayed, then the presentation is easy to operate, but the content may not maintain viewer attention
Solution Approach 1:
The presentation system autonomously adjusts its own content and sequence based on real-time audience feedback without requiring manual intervention, enabling self-optimizing engagement while maintaining operational simplicity
Data Source
AI summary
Embodiments are directed to a computer-implemented method of displaying a presentation. The method includes analyzing a set of media files that include the presentation. Thereafter, each media file is displayed in a predetermined order. Upon the detection of an audience viewing the media files, the displaying of the media files is adjusted based on characteristics of the audience.


