Scalable Webcam Eye Tracking by Learning from User Interactions
Abstract
Eye tracking systems are commonly used in a variety of research domains, but cost thousands of dollars. In my thesis I investigate a new approach to enable eye tracking for common webcams. The aim is to provide a natural experience to everyday users that are not restricted to laboratories and highly controlled studies. The accuracy of eye tracking webcams will be improved by user interactions which continuously calibrate the eye tracker during regular usage. Eye tracking can become a reality for many potential applications such as large-scale naturalistic user studies, online gaming, or enabling people to perform hands-free navigation of websites.
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The rise of real-time eye gaze tracking with regular webcams points to a new possible way of assessing human reliance on AI in assisted decision-making for a wider range of everyday situations.
“The rise of real-time eye gaze tracking with regular webcams [55,56,69] points to a new possible way of assessing human reliance on AI in assisted decisionmaking for a wider range of everyday situations.”
From Understanding User Reliance on AI in Assisted Decision-Making (2022) · cites this paper as [55]
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References 5 · Cited by 92
- Authors
- Papoutsaki, A.
- Affiliations
- Brown University (US)
- Corresponding author
- Papoutsaki, Alexandra
- Venue
- Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2015-04-18
- Pages
- 219-222
- OpenAlex
- W2004210808
- Cited by
- 92
- References
- 5
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 14 · 2023: 26 · 2022: 12 · 2021: 12 · 2020: 8 · 2019: 8 · 2018: 1 · 2017: 2
- FWCI
- 0.76
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- eye tracking, webcam-based eye tracking, online calibration, user interaction, low-cost eye tracking, online games
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