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The use of simple graphs and cliques for analysis of cartographic eye-tracking data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33160677" target="_blank" >RIV/61989592:15310/16:33160677 - isvavai.cz</a>

  • Result on the web

    <a href="http://ceur-ws.org/Vol-1649/206.pdf" target="_blank" >http://ceur-ws.org/Vol-1649/206.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The use of simple graphs and cliques for analysis of cartographic eye-tracking data

  • Original language description

    Usability testing with the use of eye-tracking technology is now emerging. Measuring point of gaze is employed in different fields of research and helps to solve real world problems. One of these areas is cartography. In addition to traditional methods of analyses of eye-tracking data, as attention maps and gaze plots are, a more sophisticated method exists - scanpath comparison. Many different approaches to scanpath comparison exist. One of the most frequently used is String Edit Distance, where the gaze trajectories are replaced by the sequences of visited Areas of Interest. In cartography, these Areas of Interest could be marked around specific parts of maps - map composition elements. We have developed an online tool called ScanGraph which output is visualized as a simple graph, and similar groups of sequences are displayed as cliques of this graph. ScanGraph uses modified Levenshtein distance and Needleman-Wunsch algorithms for calculating the similarities between sequences of visited Areas of Interest. Cliques in the graph are sought with the use of the exhaustive algorithm. ScanGraph functionality is presented in the example of cartographic study dealing with uncertainty in maps. Stimuli in the study contained several visualization methods of uncertainty and eye-tracking experiment with 40 respondents was performed. With the use of ScanGraph, groups of participants with similar strategy were identified.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ITAT 2016 Proceedings, CEUR Workshop Proceedings

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    "206-211"

  • Publisher name

    CEUR Workshop Proceedings

  • Place of publication

    Aachen

  • Event location

    Tatranské Matliare

  • Event date

    Sep 22, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article