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Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach

In: Information Systems and Neuroscience

Author

Listed:
  • Tillmann Neben

    (University of Mannheim)

  • Bo Sophia Xiao

    (University of Hawaii at Mānoa)

  • Erik Lim

    (University of New South Wales)

  • Chee-Wee Tan

    (Copenhagen Business School)

  • Armin Heinzl

    (University of Mannheim)

Abstract

Appeal refers to the positive emotional response to an aesthetic, beautiful, or in another way desirable stimulus. It is a recurring topic in information systems (IS) research, and is important for understanding many phenomena of user behavior and decision-making. While past IS research on appeal has relied predominantly on subjective self-rating scales, this research-in-progress paper proposes complementary objective measurement for appeal. We start by reviewing the linkages between the theoretical constructs related to appeal and their neurophysiological correlates. We then review past approaches to measuring appeal and discuss their characteristics. Finally, we arrive at a recommendation that builds on a combination of psychophysiology (EDA, facial EMG) and brain imaging (fNIRS).

Suggested Citation

  • Tillmann Neben & Bo Sophia Xiao & Erik Lim & Chee-Wee Tan & Armin Heinzl, 2015. "Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach," 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, edition 127, pages 151-159, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-18702-0_20
    DOI: 10.1007/978-3-319-18702-0_20
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