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

VSEngineering 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

Engineering Contradiction:
ImproveAdaptability to audienceVSAvoidPresentation system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

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

Inventive Principle:
Principle #23Feedback

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

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If audience detection and analysis features are added, then content relevance to audience is improved, but the device complexity increases

Engineering Contradiction:
ImproveAudience characteristic detection accuracyVSAvoidSystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

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

Inventive Principle:
Principle #24Intermediary (Mediator)

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

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If predetermined content is displayed, then the presentation is easy to operate, but the content may not maintain viewer attention

Engineering Contradiction:
ImprovePresentation control simplicityVSAvoidViewer engagement effectiveness
Core Design Contradiction:
Ease of operationVSProductivity

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

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10979472B2Dynamically altering presentations to maintain or increase viewer attention
Publication Date: 2021.04.13 DOORDASH INC
  • US10979472B2 patent drawing
  • US10979472B2 patent drawing
  • US10979472B2 patent drawing

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.