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Cognitive Fit and Visual Pattern Recognition in Financial Information System: An Experimental Study

In: Information Systems and Neuroscience

Author

Listed:
  • Jérôme Martin

    (HEC Montreal)

  • Martin Boyer

    (HEC Montreal)

  • Pierre-Majorique Léger

    (HEC Montreal)

  • Laurence Dumont

    (HEC Montreal)

Abstract

This experimental study uses traders to understand the effect of cognitive fit on the performance of decision makers for pattern recognition tasks using financial information systems. Building upon signal detection theory, we find that performance is affected by both attention level and working memory capacity while the level of knowledge in finance and experience in finance have no significant impact. Our results also suggest that overconfidence has a detrimental effect on performance.

Suggested Citation

  • Jérôme Martin & Martin Boyer & Pierre-Majorique Léger & Laurence Dumont, 2019. "Cognitive Fit and Visual Pattern Recognition in Financial Information System: An Experimental Study," 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, pages 147-153, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_18
    DOI: 10.1007/978-3-030-01087-4_18
    as

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