@inproceedings{c4e129b09f994b079fc793f92e8f7545,
title = "Scanpath comparison in medical image reading skills of dental students",
abstract = "A popular topic in eye tracking is the difference between novices and experts and their domain-specific eye movement behaviors. However, very little is researched regarding how expertise develops, and more specifically, the developmental stages of eye movement behaviors. Our work compares the scanpaths of five semesters of dental students viewing orthopantomograms (OPTs) with classifiers to distinguish sixth semester through tenth semester students. We used the analysis algorithm SubsMatch 2.0 and the Needleman-Wunsch algorithm. Overall, both classifiers were able distinguish the stages of expertise in medical image reading above chance level. Specifically, it was able to accurately determine sixth semester students with no prior training as well as sixth semester students after training. Ultimately, using scanpath models to recognize gaze patterns characteristic of learning stages, we can provide more adaptive, gaze-based training for students.",
keywords = "Learning, Medical image interpretation, Remote Eye Tracking, Scanpath analysis",
author = "Nora Castner and Enkelejda Kasneci and Thomas K{\"u}bler and Katharina Scheiter and Juliane Richter and Th{\'e}r{\'e}se Eder and Fabian H{\"u}ttig and Constanze Keutel",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018 ; Conference date: 14-06-2018 Through 17-06-2018",
year = "2018",
month = jun,
day = "14",
doi = "10.1145/3204493.3204550",
language = "English",
series = "Eye Tracking Research and Applications Symposium (ETRA)",
publisher = "Association for Computing Machinery",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Proceedings - ETRA 2018",
}