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Using eye-tracking to optimize skin self-examination training
2018
All Rights Reserved ii T h e U n i v e r s i t y o f U t a h G r a d u a t e S c h o o l STATEMENT OF DISSERTATION APPROVAL The dissertation of Kevin K. John has been approved by the following supervisory committee members: ABSTRACT Using eye-tracking technology to capture the visual scanpaths of a sample of laypersons (N = 92), the current study employed a 2 (training condition: ABCDE vs. Ugly Duckling Sign) × 2 (visual condition: photorealistic images vs. illustrations) factorial design to
doi:10.26053/0h-mjea-4900
fatcat:ewbsiqo23rbj7ppypttspfnpda