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NeuroIS Knowledge Discovery Approach to Prediction of Traumatic Brain Injury Survival Rates: A Semantic Data Analysis Regression Feasibility Study Read chapter Read first chapter

2015 | OriginalPaper | Chapter

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

Authors : Tillmann Neben, Bo Sophia Xiao, Erik Lim, Chee-Wee Tan, Armin Heinzl

Published in: Information Systems and Neuroscience

Publisher: Springer International Publishing

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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).

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previous chapter Using fMRI to Explain the Effect of Dual-Task Interference on Security Behavior
next chapter Mobile App Preferences: What Role Does Aesthetics and Emotions Play?
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Metadata
Title
Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach
Authors
Tillmann Neben
Bo Sophia Xiao
Erik Lim
Chee-Wee Tan
Armin Heinzl
Copyright Year
2015
Book
Information Systems and Neuroscience

Print ISBN: 978-3-319-18701-3

Electronic ISBN: 978-3-319-18702-0

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-18702-0_20

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