Investigating Mind-Wandering Episodes While Using Digital Technologies: An Experimental Approach Based on Mixed-Methods

Caroline Reßing (), Frederike M. Oschinsky (), Michael Klesel (), Björn Niehaves (), René Riedl (), Patrick Suwandjieff (), Selina C. Wriessnegger () and Gernot R. Müller-Putz ()
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Caroline Reßing: University of Siegen
Frederike M. Oschinsky: University of Siegen
Michael Klesel: University of Twente
Björn Niehaves: University of Siegen
René Riedl: University of Applied Sciences Upper Austria
Patrick Suwandjieff: Graz University of Technology
Selina C. Wriessnegger: Graz University of Technology
Gernot R. Müller-Putz: Graz University of Technology

A chapter in Information Systems and Neuroscience, 2022, pp 301-309 from Springer

Abstract: Abstract In today’s fast-paced world, our brain spends almost half of our waking hours distracted from current environmental stimuli, often referred to as mind wandering in the scientific literature. At the same time, people frequently have several hours daily screen time, signifying the ubiquity of digital technologies. Here, we investigate mind wandering while using digital technologies. Measuring mind wandering (i.e., off-task thought), however, comes with challenges. In this research-in-progress paper, we present an experimental approach based on EEG, eye-tracking, questionnaires, and performance data to measure wind wandering. Our work draws upon the Unusual Uses Task, a widely used task to measure divergent thinking (as a proxy for mind wandering). We describe the experimental setup and discuss initial findings.

Keywords: Mind-wandering; EEG; Eye-tracking; Unusual uses task; NeuroIS (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-13064-9_30

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DOI: 10.1007/978-3-031-13064-9_30

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