Using eye-tracking to optimize skin self-examination training

Kevin K. John
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
more » ... ess whether SSE training succeeds or fails in facilitating increases in sensitivity and specificity. Self-efficacy and perceived importance were tested as moderators, and eye-tracking fixation metrics as mediators, within the framework of Visual Skill Acquisition Theory (VSAT). For sensitivity, results indicated a significant main effect for visual condition, F(1,88) = 7.102, p = .009, wherein illustrations (M = .524, SD = .197) resulted in greater sensitivity than photos (M = .425, SD = .159, d = .55). For specificity, the main effect for training was not significant, F(1,88) = 2.120, p = .149; however, results indicated a significant main effect for visual condition, F(1,88) = 4.079, p = .046, wherein photos (M = .821, SD = .108) resulted in greater specificity than illustrations (M = .770, SD = .137, d = .41). The interaction for training × visual condition, F(1,88) = 3.554, p = .063, was significant within a 90% confidence interval, such that those within the UDS Photo condition displayed greater specificity than all other combinations of training and visual condition. No significant moderated mediation manifested for sensitivity, but for specificity, the model was significant, r = .59, R 2 = .34, F(9,82) = 4.7783, p =.001, with
doi:10.26053/0h-mjea-4900 fatcat:ewbsiqo23rbj7ppypttspfnpda