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The Influence of Negative Emotion as Affective State on Conceptual Models Comprehension

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Information Systems and Neuroscience (NeuroIS 2020)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 43))

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Abstract

Comprehension of procedural models presents an essential skill for IS professionals. Although the literature on factors that influence model comprehension is extensive, it is surprising that so far, empirical research about the impact that affective states on model understanding is mainly missing. The purpose of this study is to determine if an affective state of model viewers can have an impact on the understanding of conceptual models. To this end, we develop hypotheses on the effects of emotions, based on Attentional Control Theory and Affective Events Theory. In order to test our hypotheses, we plan to carry out a controlled experiment.

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Notes

  1. 1.

    https://aisnet.org/page/AdmBullCResearchCond.

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Author information

Authors and Affiliations

  1. Vienna University of Economics and Business (WU Wien), Vienna, Austria

    Djordje Djurica & Jan Mendling

Authors
  1. Djordje Djurica
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  2. Jan Mendling
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Correspondence to Djordje Djurica .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Austria

    René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, QC, Canada

    Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

  6. Department for Digital Business, University of Applied Sciences Upper Austria, Steyr, Austria

    Thomas Fischer

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Djurica, D., Mendling, J. (2020). The Influence of Negative Emotion as Affective State on Conceptual Models Comprehension. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A.B., Fischer, T. (eds) Information Systems and Neuroscience. NeuroIS 2020. Lecture Notes in Information Systems and Organisation, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-60073-0_16

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  • DOI: https://doi.org/10.1007/978-3-030-60073-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60072-3

  • Online ISBN: 978-3-030-60073-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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