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Measuring Visual Complexity Using Neurophysiological Data

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Information Systems and Neuroscience

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 10))

Abstract

The effects of design and aesthetics on interface usability has become an important research topic in recent years. In this paper, we propose a new method of visual complexity evaluation based on the users’ neurophysiological signals. In order to be truly insightful, a visual representation of such signals will be mapped onto the interface using physiological heatmaps. The method’s intended purpose is to inform practitioners and researchers in information system on how different interface designs affect perceived visual complexity.

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Author information

Authors and Affiliations

  1. Tech3Lab, HEC Montréal, Montréal, Canada

    Vanessa Georges, François Courtemanche, Sylvain Sénécal, Pierre-Majorique Léger & Marc Frédette

  2. LUTIN User Lab, Université de Paris 8, Paris, France

    Thierry Baccino

Authors
  1. Vanessa Georges
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  2. François Courtemanche
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  3. Sylvain Sénécal
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  4. Thierry Baccino
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  5. Pierre-Majorique Léger
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  6. Marc Frédette
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Corresponding author

Correspondence to Vanessa Georges .

Editor information

Editors and Affiliations

  1. Walton College of Business (room 216), University of Arkansas, Fayetteville, Arkansas, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria & University of Linz, Steyr, Austria

    René Riedl

  3. University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. HEC Montreal, Montréal, Québec, Canada

    Pierre-Majorique Léger

  5. Kennesaw State University, Kennesaw, Georgia, USA

    Adriane B. Randolph

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© 2015 Springer International Publishing Switzerland

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Georges, V., Courtemanche, F., Sénécal, S., Baccino, T., Léger, PM., Frédette, M. (2015). Measuring Visual Complexity Using Neurophysiological Data. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-18702-0_28

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