SocialEyes: Scaling mobile eye-tracking to multi-person social settings
<|reference_start|>SocialEyes: Scaling mobile eye-tracking to multi-person social settings: 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.<|reference_end|>
@article{saxena2024socialeyes:,
    title={SocialEyes: Scaling mobile eye-tracking to multi-person social settings},
    author={Shreshth Saxena, Areez Visram, Neil Lobo, Zahid Mirza, Mehak Rafi
  Khan, Biranugan Pirabaharan, Alexander Nguyen, and Lauren K. Fink},
    journal={arXiv preprint arXiv:2407.06345},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.06345},
    primaryClass={cs.HC cs.CE cs.CY cs.ET}
}