Robustness of metrics used for scanpath comparison

0494628 - PSÚ 2019 RIV PL eng C - Konferenční příspěvek (zahraniční konf.)
Děchtěrenko, Filip - Lukavský, Jiří
Robustness of metrics used for scanpath comparison.
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications. Warsawa: SWPS University of Social Sciences and Humanities, 2018 - (Spencer, S.), č. článku 63. ISBN 978-1-4503-5706-7.
[ETRA 2018 ACM Symposium on Eye Tracking Research and Applications /10./. Warsawa (PL), 14.06.2018-17.06.2018]
Grant CEP: GA ČR GA16-07983S
Grant ostatní: AV ČR(CZ) StrategieAV21/14
Program: StrategieAV
Institucionální podpora: RVO:68081740
Klíčová slova: scanpath * robustness * Correlation distance * Levenshtein distance * Fréchet distance
Obor OECD: Psychology (including human - machine relations)

In every quantitative eye tracking research study, researchers need to compare eye movements between subjects or conditions. For both static and dynamic tasks, there is a variety of metrics that could serve this purpose. It is important to explore the robustness of the metrics with respect to artificial noise. For dynamic tasks, where eye movement data is represented as scanpaths, there are currently no studies regarding the robustness of the metrics. In this study, we explored properties of five metrics (Levenshtein distance, correlation distance, Fréchet distance, mean and median distance) used for comparison of scanpaths. We systematically added noise by applying three transformations to the scanpaths: translation, rotation, and scaling. For each metric, we computed baseline similarity for two random scanpaths and explored the metrics’ sensitivity. Our results allow other researchers to convert results between studies.
Trvalý link: http://hdl.handle.net/11104/0287789