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

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 Chandler (), Pascal Snow (), Domenico Vilone () and Sylvain Sénécal ()
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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

A chapter in Information Systems and Neuroscience, 2022, pp 229-235 from Springer

Abstract: 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.

Keywords: NeuroIS; Psychophysiology; Beta test; Technology; Experimental design (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_24

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DOI: 10.1007/978-3-031-13064-9_24

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