2024/07/08 by Saxena, Shreshth, Visram, Areez, Lobo, Neil +5 · 1 citation
#C.4 #Computational Engineering #Computers and Society (cs.CY) #D.2.10 #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Finance #Human-Computer Interaction (cs.HC) #I.4.8 #J.4 #J.5 #and Science (cs.CE)
paper · doi:10.48550/arxiv.2407.06345
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.