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

In: Information Systems and Neuroscience

Author

Listed:
  • Adriane B. Randolph

    (Kennesaw State University)

  • Élise Labonté-LeMoyne

    (Tech3Lab)

  • Pierre-Majorique Léger

    (Tech3Lab)

  • François Courtemanche

    (Tech3Lab)

  • Sylvain Sénécal

    (Tech3Lab)

  • Marc Fredette

    (Tech3Lab)

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.

Suggested Citation

  • Adriane B. Randolph & Élise Labonté-LeMoyne & Pierre-Majorique Léger & François Courtemanche & Sylvain Sénécal & Marc Fredette, 2015. "Proposal for the Use of a Passive BCI to Develop a Neurophysiological Inference Model of IS Constructs," 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, edition 127, pages 175-180, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-18702-0_23
    DOI: 10.1007/978-3-319-18702-0_23
    as

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