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Using Eye-Tracking for Visual Attention Feedback

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Information Systems and Neuroscience

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 32))

Abstract

In the age of big data, decision-makers are confronted with enormous amounts of information coming from various resources at high velocity. However, humans have limited cognitive capabilities such as attentional resources. Inappropriate attentional resource allocation can lead to severe losses in performance. Nowadays, the usage of eye-tracking devices brings the opportunity to design neuro-adaptive information systems that support users in better managing their limited attentional resources. In this study, we investigated the design of an attentive information dashboard which provides visual attention feedback (VAF) as live biofeedback. Later, we examined how three different VAF types assist decision makers in their visual attention allocation (VAA) performance and focused attention while conducting a data exploration task. The results show that providing an individualized VAF as live biofeedback using real-time gaze data supports users in managing their attention better than general VAFs.

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Author information

Authors and Affiliations

  1. Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM), Karlsruhe, Germany

    Peyman Toreini, Moritz Langner & Alexander Maedche

Authors
  1. Peyman Toreini
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  2. Moritz Langner
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  3. Alexander Maedche
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Corresponding author

Correspondence to Peyman Toreini .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, QC, Canada

    Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, GA, USA

    Adriane Randolph

  6. Department for Digital Business, University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    Thomas Fischer

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Toreini, P., Langner, M., Maedche, A. (2020). Using Eye-Tracking for Visual Attention Feedback. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A., Fischer, T. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-030-28144-1_29

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