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

In: Information Systems and Neuroscience

Author

Listed:
  • Ananda Rohit Daita

    (University of North Texas)

  • Bin Mai

    (Texas A&M University)

  • Kamesh Namuduri

    (University of North Texas)

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.

Suggested Citation

  • Ananda Rohit Daita & Bin Mai & Kamesh Namuduri, 2019. "Tracking and Comparing Eye Movements Patterns While Watching Interactive and Non-interactive Videos," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 179-186, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_22
    DOI: 10.1007/978-3-030-01087-4_22
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