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GPSel: A Gestural Perceptual-Based Path Selection Technique

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Smart Graphics (SG 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5531))

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Abstract

This paper introduces a gestural perceptual-based approach to select objects, i.e., nodes and/or edges along paths. Based on known results from perception research, we propose a model to detect perceptually salient paths formed by the Gestalt principles of good continuity and closure. Then we introduce gestural interaction techniques that enable users to select single or multiple perceptual paths, as well as resolving ambiguities in selection. The result of a user study shows that our system outperforms current techniques for path selection.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, York University, Toronto, Canada

    Hoda Dehmeshki & Wolfgang Stuerzlinger

Authors
  1. Hoda Dehmeshki
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  2. Wolfgang Stuerzlinger
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Editor information

Editors and Affiliations

  1. Institut für Informatik, LFE Medieninformatik, Ludwig-Maximilians-Universität München, Amalienstrs 17, 80333, München, Germany

    Andreas Butz

  2. Simon Fraser University at Surrey, 13450 102 Avenue, BC V3T 5X3, Surrey, Canada

    Brian Fisher

  3. Equipe BUNRAKU, Maître de Conférences – Détaché à l’INRIA Rennes, IRISA-INRIA Rennes, Campus de Beaulieu, 35042, Rennes Cedex, France

    Marc Christie

  4. Institute for Geoinformatics, Westfälische Wilhelms-Universität, Robert-Koch-Str. 26-28, 48149, Münster, Germany

    Antonio Krüger

  5. School of Computing Science, Culture Lab, University of Newcastle upon Tyne, NE1 7RU, United Kingdom

    Patrick Olivier

  6. Departamento de Informática y Automática, Universidad de Salamanca, 37008, Salamanca, Espana, Spain

    Roberto Therón

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© 2009 Springer-Verlag Berlin Heidelberg

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Dehmeshki, H., Stuerzlinger, W. (2009). GPSel: A Gestural Perceptual-Based Path Selection Technique. In: Butz, A., Fisher, B., Christie, M., Krüger, A., Olivier, P., Therón, R. (eds) Smart Graphics. SG 2009. Lecture Notes in Computer Science, vol 5531. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02115-2_21

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  • DOI: https://doi.org/10.1007/978-3-642-02115-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02114-5

  • Online ISBN: 978-3-642-02115-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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