Quantifying Novice and Expert Differences in Visual Diagnostic Reasoning in Veterinary Pathology Using Eye-Tracking Technology

被引:9
|
作者
Warren, Amy L. [1 ]
Donnon, Tyrone L. [2 ,3 ]
Wagg, Catherine R. [4 ]
Priest, Heather [5 ]
Fernandez, Nicole J. [4 ]
机构
[1] Univ Calgary, Fac Vet Med, Dept Ecosyst & Publ Hlth, 3330 Hosp Dr NW, Calgary, AB T2N 4N1, Canada
[2] Univ Calgary, Fac Med, Dept Community Hlth Sci, Calgary, AB, Canada
[3] Assessment Strategies Inc, Testing & Measurement, 1400 Blair Pl,Suite 210, Ottawa, ON K1J 9B8, Canada
[4] Univ Calgary, Fac Vet Med, Dept Vet Clin & Diagnost Sci, 3330 Hosp Dr NW, Calgary, AB T2N 4N1, Canada
[5] Cornell Univ, Coll Vet Med, Dept Populat Med & Diagnost Sci, Ithaca, NY 14853 USA
关键词
veterinary; pathology; diagnosis; reasoning; visual perception; microscopy; expertise; KNOWLEDGE; MEDICINE; MODEL; PERSPECTIVE; COGNITION; JUDGMENT; SCRIPTS; NEEDS;
D O I
10.3138/jvme.1115-187r
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Visual diagnostic reasoning is the cognitive process by which pathologists reach a diagnosis based on visual stimuli (cytologic, histopathologic, or gross imagery). Currently, there is little to no literature examining visual reasoning in veterinary pathology. The objective of the study was to use eye tracking to establish baseline quantitative and qualitative differences between the visual reasoning processes of novice and expert veterinary pathologists viewing cytology specimens. Novice and expert participants were each shown 10 cytology images and asked to formulate a diagnosis while wearing eye-tracking equipment (10 slides) and while concurrently verbalizing their thought processes using the think-aloud protocol (5 slides). Compared to novices, experts demonstrated significantly higher diagnostic accuracy (p <.017), shorter time to diagnosis (p <.017), and a higher percentage of time spent viewing areas of diagnostic interest (p <.017). Experts elicited more key diagnostic features in the think-aloud protocol and had more efficient patterns of eye movement. These findings suggest that experts' fast time to diagnosis, efficient eye-movement patterns, and preference for viewing areas of interest supports system 1 (pattern-recognition) reasoning and script-inductive knowledge structures with system 2 (analytic) reasoning to verify their diagnosis.
引用
收藏
页码:295 / 306
页数:12
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