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Information Systems and Neuroscience pp 165–174Cite as

Lifelogging as a Viable Data Source for NeuroIS Researchers: A Review of Neurophysiological Data Types Collected in the Lifelogging Literature

Part of the Lecture Notes in Information Systems and Organisation book series (LNISO,volume 16)

Abstract

Based on this review, we argue for the consideration of lifelogging as an additional data source in NeuroIS research. Lifelogging itself is a concept which describes a behavior in which individuals, based on the use of computer technology, track (parts of) their lives, including the quantification of their well-being (e.g., continuous recording of an individual’s heart rate via a digital wrist watch). This relatively new form of behavior generates a viable data source for future NeuroIS studies, predominantly for those conducted in field settings. By analyzing how frequently the major types of neurophysiological data have thus far been collected in lifelogging publications, we reveal how much attention different types of neurophysiological data have received in the context of longitudinal field studies. In essence, lifelogging data constitute a viable data base for NeuroIS researchers, one that is readily available and is predicted to grow in the future because an increasing number of people worldwide are tracking their daily lives to a growing extent.

Keywords

  • Field studies
  • Lifelogging
  • NeuroIS
  • Self-tracking

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Notes

  1. 1.

    A similar criterion has previously been applied in a literature review by Riedl [20].

  2. 2.

    It has to be noted that we do not claim that the 36 publications which we identified constitute an exhaustive list of available publications.

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Authors and Affiliations

  1. University of Applied Sciences Upper Austria, Steyr, Austria

    Thomas Fischer

  2. University of Appl. Sc. Upper Austria, Steyr, Oberösterreich, Austria

    René Riedl

  3. University of Linz, Linz, Austria

    René Riedl

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  1. Thomas Fischer
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  2. René Riedl
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Correspondence to Thomas Fischer .

Editor information

Editors and Affiliations

  1. Informaton Systems, Texas Tech University, Lubbock, Texas, USA

    Fred D. Davis

  2. University of Appl. Sc. 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 , Montréal, Québec, Canada

    Pierre-Majorique Léger

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

    Adriane B. Randolph

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Fischer, T., Riedl, R. (2017). Lifelogging as a Viable Data Source for NeuroIS Researchers: A Review of Neurophysiological Data Types Collected in the Lifelogging Literature. 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 16. Springer, Cham. https://doi.org/10.1007/978-3-319-41402-7_21

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