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

Thomas Fischer () and René Riedl ()
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Thomas Fischer: University of Applied Sciences Upper Austria
René Riedl: University of Appl. Sc. Upper Austria

A chapter in Information Systems and Neuroscience, 2017, pp 165-174 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-41402-7_21

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DOI: 10.1007/978-3-319-41402-7_21

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