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Device-Embedded Cameras for Eye Tracking-Based Cognitive Assessment: Implications for Teleneuropsychology
Nicholas T Bott1,2,3, Erica N Madero1, Jordan M Glenn1
1Neurotrack Technologies, Inc., Redwood City, California.
Summary
Webcam-based eye-tracking shows strong correlation with clinical-grade devices for cognitive decline screening. This validates a scalable, remote method for teleneuropsychology, increasing access to assessments.
Area of Science:
- Neuroscience
- Gerontology
- Computer Science
Background:
- Aging populations increase demand for cognitive decline screening.
- Current clinical infrastructure limits in-person evaluations.
- Remote assessments using eye-tracking offer a potential solution.
Purpose of the Study:
- To validate a novel automated scoring system for webcam-based eye-tracking metrics.
- To demonstrate equivalence between laptop-embedded cameras and gold-standard eye trackers.
- To assess the feasibility of remote, asynchronous neuropsychological screening.
Main Methods:
- Analyzed visual paired comparison (VPC) data from 18 cognitively normal subjects (50+ years) across three visits.
- Scored eye-tracker data using manufacturer software and webcam data using a novel algorithm.
- Correlated performance metrics between the two devices.
Main Results:
- Strong correlations found between webcam-based and clinical-grade eye-tracking data (mean VPC: r=0.95; per-trial: r=0.88).
- High statistical significance (p < 0.001) for all correlations.
- Mean performance differences between devices were negligible (0.00).
Conclusions:
- Device-embedded cameras provide a valid and scalable alternative for gaze-based cognitive function tasks.
- This validation is a significant advancement for teleneuropsychology.
- Webcam-based eye-tracking can increase access to remote cognitive screening.
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