IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-28144-1_34.html
   My bibliography  Save this book chapter

The Impact of Associative Coloring and Representational Formats on Decision-Making: An Eye-Tracking Study

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))

  • Kathrin Figl

    (University of Innsbruck)

Abstract

This research-in-progress paper presents our ongoing work on the effects of representational options of decision models on decision performance. With the help of eye-tracking, we want to investigate the influence of the color design of textual, graphical and tabular decision models on decision accuracy, efficiency, and cognitive load. For this purpose, we design a controlled experiment to test whether associative color-highlighting (red for negative decision outcome, green for a positive result) makes decision models easier to understand than monochromatic or non-associative color-highlighting.

Suggested Citation

  • Djordje Djurica & Jan Mendling & Kathrin Figl, 2020. "The Impact of Associative Coloring and Representational Formats on Decision-Making: An Eye-Tracking Study," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane Randolph & Thomas Fis (ed.), Information Systems and Neuroscience, pages 305-313, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-28144-1_34
    DOI: 10.1007/978-3-030-28144-1_34
    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:978-3-030-28144-1_34. 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.