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Caption and Observation Based on the Algorithm for Triangulation (COBALT): Preliminary Results from a Beta Trial

In: Information Systems and Neuroscience

Author

Listed:
  • Pierre-Majorique Léger

    (HEC Montréal)

  • Alexander J. Karran

    (HEC Montréal)

  • Francois Courtemanche

    (HEC Montréal)

  • Marc Fredette

    (HEC Montréal)

  • Salima Tazi

    (HEC Montréal)

  • Mariko Dupuis

    (HEC Montréal)

  • Zeyad Hamza

    (HEC Montréal)

  • Juan Fernández-Shaw

    (HEC Montréal)

  • Myriam Côté

    (HEC Montréal)

  • Laurène Del Aguila

    (HEC Montréal)

  • Chantel Chandler

    (HEC Montréal)

  • Pascal Snow

    (HEC Montréal)

  • Domenico Vilone

    (HEC Montréal)

  • Sylvain Sénécal

    (HEC Montréal)

Abstract

We report on the development progress of a closed beta trial of the COBALT ecosystem, a suite of instruments and software developed to make psychophysiological research accessible to the NeuroIS community and beyond. We provide an overview of the ecosystem and early feedback derived from interview data. The current synthesis of these data indicates that the COBALT ecosystem is utile, easy to use and understand, and can be implemented quickly within a range of experimental contexts to provide vastly improved time-to-insight through workflow efficiency gains.

Suggested Citation

  • Pierre-Majorique Léger & Alexander J. Karran & Francois Courtemanche & Marc Fredette & Salima Tazi & Mariko Dupuis & Zeyad Hamza & Juan Fernández-Shaw & Myriam Côté & Laurène Del Aguila & Chantel Chan, 2022. "Caption and Observation Based on the Algorithm for Triangulation (COBALT): Preliminary Results from a Beta Trial," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 229-235, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-13064-9_24
    DOI: 10.1007/978-3-031-13064-9_24
    as

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