Using a Cognitive Analysis Grid to Inform Information Systems Design

Laurence Dumont (), Gabrielle Chénier-Leduc (), Élaine Guise (), Ana Ortiz Guinea (), Sylvain Sénécal () and Pierre-Majorique Léger ()
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Laurence Dumont: Tech3Lab, HEC Montréal
Gabrielle Chénier-Leduc: Tech3Lab, HEC Montréal
Élaine Guise: Université de Montréal
Ana Ortiz Guinea: Tech3Lab, HEC Montréal
Sylvain Sénécal: Tech3Lab, HEC Montréal
Pierre-Majorique Léger: Tech3Lab, HEC Montréal

A chapter in Information Systems and Neuroscience, 2015, pp 193-199 from Springer

Abstract: 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.

Keywords: Cognitive psychology; UX; Cognitive demand; Pupil; Workload (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_26

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DOI: 10.1007/978-3-319-18702-0_26

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