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How Attention Networks Can Inform Research in Information Systems

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Information Systems and Neuroscience

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 29))

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Abstract

Attention is a construct that has been pursued throughout the information systems literature. It is also a topic that has been extensively studied in the cognitive neuroscience literature. To our knowledge there has not been any comprehensive work to bridge these two bodies of work. This idea paper introduces the Attention Networks model, which is one of the prominent models of attention in cognitive neuroscience. We also introduce the Attention Network Test, one of the prominent measures of attention networks. We explore two ways that the model can inform information systems research and conclude that there are many other potential ways that the study of attention networks can advance research in information systems.

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Acknowledgements

This research is supported by the Killam and NSERC Doctoral scholarships to Colin Conrad and an NSERC Discovery Grant to Aaron Newman. We also thank the participants of the 2017 NeuroIS training course for their feedback on these ideas.

Author information

Authors and Affiliations

  1. Dalhousie University, Halifax, Canada

    Colin Conrad & Aaron Newman

Authors
  1. Colin Conrad
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  2. Aaron Newman
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Corresponding author

Correspondence to Colin Conrad .

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 B. Randolph

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Conrad, C., Newman, A. (2019). How Attention Networks Can Inform Research in Information Systems. 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 29. Springer, Cham. https://doi.org/10.1007/978-3-030-01087-4_19

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