@article{albert_scene_2005,

title = {Scene perception, gaze behavior, and perceptual learning in virtual environments},

author = {G. Albert and P. Renaud and S. Chartier and L. Renaud and L. Sauvé and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-29444459017&doi=10.1089%2fcpb.2005.8.592&partnerID=40&md5=87150bf324f101229007a48f91517702},

doi = {10.1089/cpb.2005.8.592},

issn = {10949313},

year  = {2005},

date = {2005-01-01},

journal = {Cyberpsychology and Behavior},

volume = {8},

number = {6},

pages = {592–600},

abstract = {More and more immersive environments are developed to provide support for learning or training purposes. Ecological validity of such environments is usually based on learning performance comparisons between virtual environments and their genuine counterparts. Little is known about learning processes occurring in immersive environments. A new technique is proposed for testing perceptual learning during virtual immersion. This methodology relies upon eye-tracking technologies to analyze gaze behavior recorded in relation to virtual objects' features and tasks' requirements. It is proposed that perceptual learning mechanisms engaged could be detected through eye movements. In this study, nine subjects performed perceptual learning tasks in virtual immersion. Results obtained indicated that perceptual learning influences gaze behavior dynamics. More precisely, analysis revealed that fixation number and variability in fixation duration varied with perceptual learning level. Such findings could contribute in shedding light on learning mechanisms as well as providing additional support for validating virtual learning environments. © Mary Ann Liebert, Inc.},

keywords = {adult, article, behavior, controlled study, eye fixation, eye movement, female, Fixation, gaze, human, human experiment, Humans, immersion, Learning, male, mental performance, normal human, Ocular, perceptual learning, qualitative validity, User-Computer Interface, validation process, virtual reality, Visual Perception},

pubstate = {published},

tppubtype = {article}

}