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Using a Cognitive Analysis Grid to Inform Information Systems Design

In: Information Systems and Neuroscience

Author

Listed:
  • Laurence Dumont

    (Tech3Lab, HEC Montréal
    Université de Montréal)

  • Gabrielle Chénier-Leduc

    (Tech3Lab, HEC Montréal
    Université de Montréal)

  • Élaine Guise

    (Université de Montréal)

  • Ana Ortiz Guinea

    (Tech3Lab, HEC Montréal)

  • Sylvain Sénécal

    (Tech3Lab, HEC Montréal)

  • Pierre-Majorique Léger

    (Tech3Lab, HEC Montréal)

Abstract

Following our first conceptualization of a cognitive analysis grid (CA grid) for IS research in 2014, the CA grid was improved and tested in a proof of concept manner. The theory and application of this method are briefly explained, along with lessons learned from a first experiment. The next steps in the validation of this method include applying it to a wider group of naïve participants. This will allow to draw statistical parallels between the cognitive demand of the interface and the performance of the users based on their cognitive profile. Ultimately, this technique should be useful both in NeuroIS research and user experience (UX) tests to guide hypotheses and explain user’s performance.

Suggested Citation

  • Laurence Dumont & Gabrielle Chénier-Leduc & Élaine Guise & Ana Ortiz Guinea & Sylvain Sénécal & Pierre-Majorique Léger, 2015. "Using a Cognitive Analysis Grid to Inform Information Systems Design," 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 193-199, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-18702-0_26
    DOI: 10.1007/978-3-319-18702-0_26
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