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How Attention Networks Can Inform Research in Information Systems

In: Information Systems and Neuroscience

Author

Listed:
  • Colin Conrad

    (Dalhousie University)

  • Aaron Newman

    (Dalhousie University)

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.

Suggested Citation

  • Colin Conrad & Aaron Newman, 2019. "How Attention Networks Can Inform Research in Information Systems," 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, pages 155-162, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_19
    DOI: 10.1007/978-3-030-01087-4_19
    as

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