Abstract
The aim of the study was to assess if dental imperfections influence scan-paths recorded during eye tracking sessions of naive observers. The participants observed 15 faces with 8 of them having various dental imperfections. All observations were recorded using an eye tracking device and spatio-temporal information about gaze positions was stored.
Our assumption was that there is dependency between eye movement patterns while observing a face and dental imperfections of that face. There were several eye movement pattern related features analyzed as independent variables and it was checked if there is an effect on level or type of imperfection.
Analyses revealed that participants paid significantly more attention to the mouth area when a face they observed characterized with not perfect teeth. It leads to the conclusion that scan-paths recorded for some number of casual observers may be used to judge the level of imperfection of a face.
P. Fudalej—Private Practice.
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Kasprowski, P., Harezlak, K., Fudalej, P., Fudalej, P. (2018). Examining the Impact of Dental Imperfections on Scan-Path Patterns. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2017. IDT 2017. Smart Innovation, Systems and Technologies, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-319-59424-8_26
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