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Measuring Visual Complexity Using Neurophysiological Data

In: Information Systems and Neuroscience

Author

Listed:
  • Vanessa Georges

    (HEC Montréal)

  • François Courtemanche

    (HEC Montréal)

  • Sylvain Sénécal

    (HEC Montréal)

  • Thierry Baccino

    (Université de Paris 8)

  • Pierre-Majorique Léger

    (HEC Montréal)

  • Marc Frédette

    (HEC Montréal)

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.

Suggested Citation

  • Vanessa Georges & François Courtemanche & Sylvain Sénécal & Thierry Baccino & Pierre-Majorique Léger & Marc Frédette, 2015. "Measuring Visual Complexity Using Neurophysiological Data," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, edition 127, pages 207-212, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-18702-0_28
    DOI: 10.1007/978-3-319-18702-0_28
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    Cited by:

    1. Lucian-Florin Onișor & Daniela Ioniță, 2016. "Crowdsourcing Platforms: Users’ Experience Exposed," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 9-22, September.

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