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Robustness of metrics used for scanpath comparison
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SYSNO ASEP 0494628 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Robustness of metrics used for scanpath comparison Tvůrce(i) Děchtěrenko, Filip (PSU-E) RID, ORCID, SAI
Lukavský, Jiří (PSU-E) RID, ORCID, SAIČíslo článku 63 Zdroj.dok. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications. - Warsawa : SWPS University of Social Sciences and Humanities, 2018 / Spencer S.N. - ISBN 978-1-4503-5706-7 Poč.str. 5 s. Forma vydání Online - E Akce ETRA 2018 ACM Symposium on Eye Tracking Research and Applications /10./ Datum konání 14.06.2018 - 17.06.2018 Místo konání Warsawa Země PL - Polsko Typ akce WRD Jazyk dok. eng - angličtina Země vyd. PL - Polsko Klíč. slova scanpath ; robustness ; Correlation distance ; Levenshtein distance ; Fréchet distance Vědní obor RIV AN - Psychologie Obor OECD Psychology (including human - machine relations) CEP GA16-07983S GA ČR - Grantová agentura ČR Institucionální podpora PSU-E - RVO:68081740 EID SCOPUS 85049690030 DOI 10.1145/3204493.3204580 Anotace 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. Pracoviště Psychologický ústav Kontakt Štěpánka Halamová, Halamova@praha.psu.cas.cz, Tel.: 222 222 096 Rok sběru 2019
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