ScanGraph: A novel scanpath comparison method using graph cliques visualization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33160671" target="_blank" >RIV/61989592:15310/16:33160671 - isvavai.cz</a>

Výsledek na webu

<a href="https://bop.unibe.ch/index.php/JEMR/article/view/2522/pdf_945v3" target="_blank" >https://bop.unibe.ch/index.php/JEMR/article/view/2522/pdf_945v3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.16910/jemr.9.4.5" target="_blank" >10.16910/jemr.9.4.5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ScanGraph: A novel scanpath comparison method using graph cliques visualization

Popis výsledku v původním jazyce

The article describes a new tool for analysing eye-movement data. Many different approaches to scanpath comparison exist. One of the most frequently used approaches is String Edit Distance, where gaze trajectories are replaced by sequences of visited Areas of Interest. In cartographic literature, the most commonly used software for scanpath comparison is eyePatterns. During an analysis of eyePatterns functionality, we found that the tree-graph visualisation of its results is not reliable. Thus, we decided to develop a new tool called ScanGraph. Its computational algorithms are modified to work better with sequences of different length. The output is visualised as a simple graph, and similar groups of sequences are displayed as cliques of this graph. This article describes ScanGraph's functionality on a simple cartographic eye-tracking study example. Differences in the reading strategy of a simple map between cartographic experts and novices were investigated. The paper should aid researchers who would like to analyse the differences between groups of participants, and who would like to use our tool, available at www.eyetracking.upol.cz/scangraph.

Název v anglickém jazyce

ScanGraph: A novel scanpath comparison method using graph cliques visualization

Popis výsledku anglicky

The article describes a new tool for analysing eye-movement data. Many different approaches to scanpath comparison exist. One of the most frequently used approaches is String Edit Distance, where gaze trajectories are replaced by sequences of visited Areas of Interest. In cartographic literature, the most commonly used software for scanpath comparison is eyePatterns. During an analysis of eyePatterns functionality, we found that the tree-graph visualisation of its results is not reliable. Thus, we decided to develop a new tool called ScanGraph. Its computational algorithms are modified to work better with sequences of different length. The output is visualised as a simple graph, and similar groups of sequences are displayed as cliques of this graph. This article describes ScanGraph's functionality on a simple cartographic eye-tracking study example. Differences in the reading strategy of a simple map between cartographic experts and novices were investigated. The paper should aid researchers who would like to analyse the differences between groups of participants, and who would like to use our tool, available at www.eyetracking.upol.cz/scangraph.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FF - ORL, oftalmologie, stomatologie

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Budování výzkumně-vzdělávacího týmu v oblasti modelování přírodních jevů a využití geoinformačních systémů, s vazbou na zapojení do mezinárodních sítí a programů.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Journal of Eye Movement Research

ISSN

1995-8692

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

13

Strana od-do

"5-1-5"-"1-5-13"

Kód UT WoS článku

000383107600003

EID výsledku v databázi Scopus

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