Work-in-Progress–Computer Vision Methods to Examine Neurodiverse Gaze Patterns in 360-Video

Authors

  • Noah Glaser School of Information Science and Learning Technologies University of Missouri Columbia, MO United States
  • Matthew Schmidt School of Teaching and Learning University of Florida Gainesville, FL USA
  • Heath Palmer Department of Aerospace Engineering and Engineering Mechanics; University of Cincinnati Cincinnati, OH USA
  • Wanli Xing School of Teaching and Learning University of Florida Gainesville, FL USA
  • Carla Schmidt School of Special Education, School Psychology, and Early Childhood Studies; University of Florida Gainesville, FL USA

DOI:

https://doi.org/10.56198/

Keywords:

Computer vision, SVVR, Artificial intelligence, 360-video, Autism

Abstract

Computer vision (CV) is a subset of artificial intelligence (AI) that focuses on enabling computers to detect and understand objects from visual stimuli and multimedia. With advances in computational power and open-source libraries, more educators and instructional designers are seeking to capitalize on the perceived benefits of CV. This work-in-progress paper reports the CV approach our research team has developed to explore the usage patterns of neurodiverse learners within a 360-degree spherical video-based virtual reality system.

Published

04-12-2025

How to Cite

Work-in-Progress–Computer Vision Methods to Examine Neurodiverse Gaze Patterns in 360-Video. (2025). Immersive Learning Research - Academic, 1(1), 388-390. https://doi.org/10.56198/

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