Proposal for the Use of a Passive BCI to Develop a Neurophysiological Inference Model of IS Constructs

Adriane B. Randolph (), Élise Labonté-LeMoyne (), Pierre-Majorique Léger (), François Courtemanche (), Sylvain Sénécal () and Marc Fredette ()
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Adriane B. Randolph: Kennesaw State University
Élise Labonté-LeMoyne: Tech3Lab
Pierre-Majorique Léger: Tech3Lab
François Courtemanche: Tech3Lab
Sylvain Sénécal: Tech3Lab
Marc Fredette: Tech3Lab

A chapter in Information Systems and Neuroscience, 2015, pp 175-180 from Springer

Abstract: Abstract The measurement of constructs in the field of information systems (IS) is often performed with the use of retrospective or intrusive psychometric tools that may be subject to biases. Using a passive brain–computer interface (BCI) to measure these constructs continuously in real-time without interrupting the participants would be a great addition to the toolbox of IS researchers. While the development of BCIs has been explored elsewhere, we present here a specific framework using passive BCIs to develop a neurophysiological inference model of IS constructs.

Keywords: Passive BCI; Construct development; Classification framework; Feature extraction; Cognitive load; Implicit measure; NeuroIS (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-18702-0_23

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DOI: 10.1007/978-3-319-18702-0_23

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