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Using NeuroIS to Better Understand Activities Performed on Mobile Devices

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Information Systems and Neuroscience

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 10))

Abstract

With the proliferation of mobile device types and variety of tasks being performed on those devices, it is necessary to examine how this pairing changes with individuals. NeuroIS offers complementary tools to traditional survey tools helping researchers delve into users’ perceptions while they are engaged in different tasks. Through analysis of neurophysiological data we may better understand activities performed on mobile devices and help provide more customized user experiences. A two-part preliminary study is described as a pre-cursor to a larger, focused experiment utilizing EEG and eye-tracking on mobile device usage.

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Author information

Authors and Affiliations

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

    Carole L. Hollingsworth & Adriane B. Randolph

Authors
  1. Carole L. Hollingsworth
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  2. Adriane B. Randolph
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Corresponding author

Correspondence to Adriane B. Randolph .

Editor information

Editors and Affiliations

  1. Walton College of Business (room 216), University of Arkansas, Fayetteville, Arkansas, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria & University of Linz, Steyr, Austria

    René Riedl

  3. University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. HEC Montreal, Montréal, Québec, Canada

    Pierre-Majorique Léger

  5. Kennesaw State University, Kennesaw, Georgia, USA

    Adriane B. Randolph

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© 2015 Springer International Publishing Switzerland

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Hollingsworth, C.L., Randolph, A.B. (2015). Using NeuroIS to Better Understand Activities Performed on Mobile Devices. 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 10. Springer, Cham. https://doi.org/10.1007/978-3-319-18702-0_29

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