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

Tillmann Neben (), Bo Sophia Xiao (), Erik Lim (), Chee-Wee Tan () and Armin Heinzl ()
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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

A chapter in Information Systems and Neuroscience, 2015, pp 151-159 from Springer

Abstract: 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).

Keywords: Information System; Aesthetic Experience; Autonomous Nervous System Activity; Reward Circuit; Visual Appeal (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-18702-0_20

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DOI: 10.1007/978-3-319-18702-0_20

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