IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-60073-0_16.html
   My bibliography  Save this book chapter

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

In: Information Systems and Neuroscience

Author

Listed:
  • Djordje Djurica

    (Vienna University of Economics and Business (WU Wien))

  • Jan Mendling

    (Vienna University of Economics and Business (WU Wien))

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.

Suggested Citation

  • Djordje Djurica & Jan Mendling, 2020. "The Influence of Negative Emotion as Affective State on Conceptual Models Comprehension," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Thomas (ed.), Information Systems and Neuroscience, pages 145-152, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-60073-0_16
    DOI: 10.1007/978-3-030-60073-0_16
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnichp:978-3-030-60073-0_16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.