Collecting and Analyzing Eye-Tracking Data in Outdoor Environments
Author(s) -
Karen Evans,
Robert A. Jacobs,
J. A. Tarduno,
Jeff B. Pelz
Publication year - 2012
Publication title -
journal of eye movement research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.25
H-Index - 20
ISSN - 1995-8692
DOI - 10.16910/jemr.5.2.6
Subject(s) - eye tracking , computer science , gaze , computer vision , artificial intelligence , identification (biology) , tracking (education) , fixation (population genetics) , set (abstract data type) , eye movement , pupil , psychology , pedagogy , population , botany , demography , neuroscience , sociology , biology , programming language
Natural outdoor conditions pose unique obstacles for researchers, above and beyond those inherent to all mobile eye-tracking research. During analyses of a large set of eye-tracking data collected on geologists examining outdoor scenes, we have found that the nature of calibration, pupil identification, fixation detection, and gaze analysis all require procedures different from those typically used for indoor studies. Here, we discuss each of these challenges and present solutions, which together define a general method useful for investigations relying on outdoor eye-tracking data. We also discuss recommendations for improving the tools that are available, to further increase the accuracy and utility of outdoor eye-tracking data.
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