Measuring Visual Complexity Using Neurophysiological Data

Vanessa Georges (), François Courtemanche (), Sylvain Sénécal (), Thierry Baccino (), Pierre-Majorique Léger () and Marc Frédette ()
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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

A chapter in Information Systems and Neuroscience, 2015, pp 207-212 from Springer

Abstract: 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.

Keywords: User experience; Visual complexity; Eyetracking; Heatmaps; Interface design; Neurophysiological signals (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-18702-0_28

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DOI: 10.1007/978-3-319-18702-0_28

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