research-article

Information representation in decision making

Authors:

Rudolf VetscheraAuthors Info & Claims

Decision Support Systems, Volume 103, Issue C

Pages 94 - 103

https://doi.org/10.1016/j.dss.2017.09.007

Published: 01 November 2017 Publication History

Abstract

Although the literature on information representation in decision support has argued for a long time that the way in which information is presented to decision makers should fit both task characteristics and the cognitive style of decision makers, the latter aspect has received much less attention in empirical research. Most studies that took into account cognitive style used rather general instruments to measure it, which do not focus on the specifics of managerial decision making. In this paper, we describe an experiment that uses an instrument specifically developed for a managerial context to study the relationship between cognitive style and decision performance when using tabular or graphical representations. We also take into account that having to deal with a misfitting information representation depletes cognitive resources, and thus might not only impede the solution of the current problem, but also impact subsequent problems. Our results confirm that a mismatch between information representation and cognitive style indeed has effects that last beyond the solution of the current decision problem. The fit between information representation and cognitive style impacts decisions.Cognitive style is measured by a scale specific to a managerial context.Depletion of cognitive resources due to misfit impedes subsequent decisions.

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cover image Decision Support Systems

Decision Support Systems Volume 103, Issue C

November 2017

107 pages

ISSN:0167-9236

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Copyright © Elsevier B.V.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 November 2017

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Cited By

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https://dl.acm.org/doi/10.1007/s10639-023-11961-9
Liaskos S(2023)On the intuitive comprehensibility of contribution links in goal models: an experimental studyEmpirical Software Engineering10.1007/s10664-023-10376-x29:1Online publication date: 16-Dec-2023
https://dl.acm.org/doi/10.1007/s10664-023-10376-x
Motorny SSarnikar SNoteboom C(2022)Design of an Intelligent Patient Decision aid Based on Individual Decision-Making Styles and Information Need PreferencesInformation Systems Frontiers10.1007/s10796-021-10125-924:4(1249-1264)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s10796-021-10125-9
Paulino DCorreia AReis AGuimarães DRudenko RNunes CSilva TBarroso JParedes H(2022)Cognitive Personalization in Microtask DesignUniversal Access in Human-Computer Interaction. Novel Design Approaches and Technologies10.1007/978-3-031-05028-2_5(79-96)Online publication date: 26-Jun-2022
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Akpan IShanker M(2020)A comparative evaluation of the effectiveness of virtual reality, 3D visualization and 2D visual interactive simulationSimulation10.1177/003754971875703995:2(145-170)Online publication date: 18-Jun-2020
https://dl.acm.org/doi/10.1177/0037549718757039

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