This study explores diagnostic correctness and physicians' selfassessed feelings of confidence in spoken medical narratives. Dermatologists were shown images of dermatological cases and asked to narrate their diagnostic thought processes by providing a description of the case, a list of differential diagnoses, a final diagnosis, and, the percent confidence (from 0 to 100%) in their final diagnosis. We describe this novel corpus and present a case study from the dataset. We then report on predictive models for diagnostic accuracy and physician-reported confidence as a way of studying how these extralinguistic features affect the speech of the physicians, comparing use of narrative features, prosodic features, and disfluency features for classification.
Bibliographic reference. Womack, Kathryn / Alm, Cecilia Ovesdotter / Calvelli, Cara / Pelz, Jeff B. / Shi, Pengcheng / Haake, Anne (2013): "Markers of confidence and correctness in spoken medical narratives", In INTERSPEECH-2013, 2549-2553.