Adaptive Content Selection via Neuro-Efferent Detection
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Solution Overview
Problem
Existing electronic content presentation systems in open environments, such as retail stores, fail to adapt content in real-time to visitors' emotional states, often relying on static or time-based changes rather than dynamic responses to current conditions, which can lead to unsatisfactory customer experiences due to unforeseen circumstances like overcrowding or technical issues.
Innovation Solution
A computing device analyzes digital media input files, including images and sound recordings, for negative neuro-efferent indicators to automatically select and present mitigating electronic content, such as calming visuals or audio, to improve visitor experiences by detecting and responding to negative emotions in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is selected in advance by management or employees, then content selection is simple and controlled, but the system cannot adapt to real-time emotional states of visitors
Solution Approach 1:
The system continuously monitors visitor emotional states through digital media analysis and uses this feedback to automatically adjust content selection in real-time, creating a closed-loop adaptive system that responds to changing conditions without manual intervention
Solution Approach 2:
The system performs self-adjustment by automatically analyzing visitor emotions and selecting appropriate content without requiring management or employee intervention, enabling the system to serve itself in adapting to real-time conditions
2Adaptability or versatility
If content is automatically changed based on time or easily detectible conditions, then content adapts to basic environmental factors, but the system cannot respond to complex emotional states
Solution Approach 1:
The system replaces direct emotional measurement with indirect detection through digital media analysis, using computational methods to infer emotional states from publicly available digital footprints rather than requiring direct physiological or psychological measurement
3Reliability
If static content is used, then system operation is simple, but customer satisfaction decreases during negative emotional events
Solution Approach 1:
The system transitions from static content delivery to dynamic content adjustment that automatically adapts to real-time visitor emotional states, enabling the system to maintain high customer satisfaction across varying conditions through automated responsiveness
Data Source
AI summary
Systems and methods present adapted content for a visitor or visitors to a physical environment. A computing device in the physical environment produces a digital media input file associated with at least one visitor to the physical environment and determines a presence of a statistically negative neuro-efferent indicator in the digital media input file. The computing device then selects electronic presentation content based on whether the statistically negative neuro-efferent indicator is present in the digital media file, and provides the electronic presentation content to the physical environment. The electronic presentation content can be selected based on an analysis of an existing library of media selections, either in advance, or at the time of presentation.