TY  - JOUR
A1  - Vehlen, Antonia
A1  - Standard, William L.
A1  - Domes, Gregor
T1  - How to choose the size of facial areas of interest in interactive eye tracking
T2  - PLoS ONE
N2  - Advances in eye tracking technology have enabled the development of interactive experimental setups to study social attention. Since these setups differ substantially from the eye tracker manufacturer’s test conditions, validation is essential with regard to the quality of gaze data and other factors potentially threatening the validity of this signal. In this study, we evaluated the impact of accuracy and areas of interest (AOIs) size on the classification of simulated gaze (fixation) data. We defined AOIs of different sizes using the Limited-Radius Voronoi-Tessellation (LRVT) method, and simulated gaze data for facial target points with varying accuracy. As hypothesized, we found that accuracy and AOI size had strong effects on gaze classification. In addition, these effects were not independent and differed in falsely classified gaze inside AOIs (Type I errors; false alarms) and falsely classified gaze outside the predefined AOIs (Type II errors; misses). Our results indicate that smaller AOIs generally minimize false classifications as long as accuracy is good enough. For studies with lower accuracy, Type II errors can still be compensated to some extent by using larger AOIs, but at the cost of more probable Type I errors. Proper estimation of accuracy is therefore essential for making informed decisions regarding the size of AOIs in eye tracking research.
KW  - Augenfolgebewegung
KW  - Gesichtsfeld
KW  - Auswahl
KW  - Genauigkeit
Y1  - 2022
UR  - https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/1873
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:385-1-18739
VL  - 2022
IS  - Band 17, Heft 2 (2022)
PB  - Public Library of Science (PLoS)
CY  - San Francisco
ER  -