SearchGazer: Webcam Eye Tracking for Remote Studies of Web Search
Abstract
We introduce SearchGazer, a web-based eye tracker for remote web search studies using common webcams already present in laptops and some desktop computers. SearchGazer is a pure JavaScript library that infers the gaze behavior of searchers in real time. The eye tracking model self-calibrates by watching searchers interact with the search pages and trains a mapping of eye features to gaze locations and search page elements on the screen. Contrary to typical eye tracking studies in information retrieval, this approach does not require the purchase of any additional specialized equipment, and can be done remotely in a user's natural environment, leading to cheaper and easier visual attention studies.
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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 [56]
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References 31 · Cited by 116
- Authors
- Papoutsaki, A., Laskey, J., & Huang, J.
- Affiliations
- Brown University (US)
- Venue
- Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval
- Publisher
- ACM
- Published
- 2017-03-07
- Pages
- 17-26
- OpenAlex
- W2593093587
- Cited by
- 116
- References
- 31
- Citations by year
- 2026: 13 · 2025: 14 · 2024: 17 · 2023: 20 · 2022: 15 · 2021: 14 · 2020: 13 · 2019: 6 · 2018: 2 · 2017: 2
- FWCI
- 4.75
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Conference on Human Information Interaction and Retrieval (publishedVersion)
- Funders
- NSF (IIS-1464061)
- National Science Foundation Career Award
- Brown University (Salomon Award)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- eye tracking, gaze estimation, webcam-based eye tracking, self-calibration, JavaScript library, visual attention, search behavior, information retrieval
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