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arXiv · 2407.06345

SocialEyes: Scaling mobile eye-tracking to multi-person social settings

Shreshth Saxena·Areez Visram·Neil Lobo·Zahid Mirza·Mehak Rafi Khan·Biranugan Pirabaharan·Alexander Nguyen·Lauren K. Fink
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Abstract

Eye movements provide a window into human behaviour, attention, and interaction dynamics. Challenges in real-world, multi-person environments have, however, restrained eye-tracking research predominantly to single-person, in-lab settings. We developed a system to stream, record, and analyse synchronised data from multiple mobile eye-tracking devices during collective viewing experiences (e.g., concerts, films, lectures). We implemented lightweight operator interfaces for real-time-monitoring, remote-troubleshooting, and gaze-projection from individual egocentric perspectives to a common coordinate space for shared gaze analysis. We tested the system in a live concert and a film screening with 30 simultaneous viewers during each of two public events (N=60). We observe precise time-synchronisation between devices measured through recorded clock-offsets, and accurate gaze-projection in challenging dynamic scenes. Our novel analysis metrics and visualizations illustrate the potential of collective eye-tracking data for understanding collaborative behaviour and social interaction. This advancement promotes ecological validity in eye-tracking research and paves the way for innovative interactive tools.

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Shreshth Saxena, Areez Visram, Neil Lobo, Zahid Mirza, Mehak Rafi Khan, Biranugan Pirabaharan, Alexander Nguyen, Lauren K. Fink. 2024-07-08. SocialEyes: Scaling mobile eye-tracking to multi-person social settings. https://doi.org/10.1145/3706598.3713910

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