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

In: Information Systems and Neuroscience

Author

Listed:
  • Thomas Fischer

    (University of Applied Sciences Upper Austria)

  • René Riedl

    (University of Appl. Sc. Upper Austria
    University of Linz)

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.

Suggested Citation

  • Thomas Fischer & René Riedl, 2017. "Lifelogging as a Viable Data Source for NeuroIS Researchers: A Review of Neurophysiological Data Types Collected in the Lifelogging Literature," 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 165-174, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-41402-7_21
    DOI: 10.1007/978-3-319-41402-7_21
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