How Attention Networks Can Inform Research in Information Systems

Colin Conrad () and Aaron Newman ()
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Colin Conrad: Dalhousie University
Aaron Newman: Dalhousie University

A chapter in Information Systems and Neuroscience, 2019, pp 155-162 from Springer

Abstract: 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.

Keywords: Attention; Attention networks test; NeuroIS research methods (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-01087-4_19

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DOI: 10.1007/978-3-030-01087-4_19

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