Tracking and Comparing Eye Movements Patterns While Watching Interactive and Non-interactive Videos

Ananda Rohit Daita (), Bin Mai () and Kamesh Namuduri ()
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Ananda Rohit Daita: University of North Texas
Bin Mai: Texas A&M University
Kamesh Namuduri: University of North Texas

A chapter in Information Systems and Neuroscience, 2019, pp 179-186 from Springer

Abstract: Abstract In this paper, we demonstrate how our eye moments differ when we are watching non-interactive videos (sports clips) versus interactive videos (video games clips). We obtained the eye tracking data from Collaborative Research in Computational Neuroscience’s (CRCNS) data sharing set; we analyzed the subsets of eye movement data which were tracked while the test subjects were watching sports clips (videos whose contents are non-interactive) and video game clips (videos whose contents are interactive). We then compare the variations of both x- and y-coordinate eye movements between watching real videos and watching animated videos to identify the difference in eye movement patterns between the cases. Moreover, we also conducted tests on to see if there exists any difference in the distribution of the eye status of fixation or saccade between the cases. Our results provide insights into the cognitive processes when people are watching videos. We also discuss the implications of our results to the various applications in IS field.

Keywords: Video watching; Fixation; Saccade; Eye tracking; Eye movements (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-01087-4_22

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DOI: 10.1007/978-3-030-01087-4_22

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