Robustness of metrics used for scanpath comparison

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081740%3A_____%2F18%3A00494628" target="_blank" >RIV/68081740:_____/18:00494628 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1145/3204493.3204580" target="_blank" >http://dx.doi.org/10.1145/3204493.3204580</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3204493.3204580" target="_blank" >10.1145/3204493.3204580</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Robustness of metrics used for scanpath comparison

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Robustness of metrics used for scanpath comparison

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50101 - Psychology (including human - machine relations)

Projekt

<a href="/cs/project/GA16-07983S" target="_blank" >GA16-07983S: Vizuální paměť na scény: vliv korelace vjemů v prostoru a čase na přesnost vzpomínek</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications

ISBN

978-1-4503-5706-7

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

SWPS University of Social Sciences and Humanities

Místo vydání

Warsawa

Místo konání akce

Warsawa

Datum konání akce

14. 6. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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