Lifelogging as a Viable Data Source for NeuroIS Researchers: A Review of Neurophysiological Data Types Collected in the
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
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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
1 Introduction It has previously been highlighted that there is a lack of NeuroIS studies in the field [1]. While investigations in field settings may imply increased research complexity for several reasons (e.g., intrusion of research into private areas), there is a clear need for the investigation of focal constructs, such as stress, in the daily life of users. In this paper, we highlight the value of data collected by individuals
T. Fischer (*) University of Applied Sciences Upper Austria, Steyr, Austria e-mail: [email protected] R. Riedl University of Appl. Sc. Upper Austria, Steyr, Ober€osterreich, Austria University of Linz, Linz, Austria e-mail: [email protected] © Springer International Publishing Switzerland 2017 F.D. Davis et al. (eds.), Information Systems and Neuroscience, Lecture Notes in Information Systems and Organisation 16, DOI 10.1007/978-3-319-41402-7_21
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themselves, a behavior which is typically referred to as lifelogging. Thus, lifelogging data constitute a new and readily available data source for NeuroIS researchers. Lifelogging has the goal of enabling an individual to collect the totality of her/his experiences through the digitization of all cognitive inputs and/or neurophysiological activation [2]. Contemporary lifelogging research has its roots in an early vision of Vannevar Bush [3] who proposed a device which would allow for the capture and storage of all information that an individual would amass over a lifetime. Ongoing developments related to sensor and storage technologies make the realization of such a vision possible (e.g., [2, 4–7]). In the next section, we briefly discuss the concept of lifelogging and highlight previous calls for the use of neurophysiological data in lifelogging research. Afterwards, we review the literature to reveal how much attention different types of neurophysiological data have receiv
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