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Journal of Intelligent Manufacturing
Published in: Journal of Intelligent Manufacturing 7/2017

29-06-2016

Decision theoretic modeling of affective and cognitive needs for product experience engineering: key issues and a conceptual framework

Authors: Roger J. Jiao, Feng Zhou, Chih-Hsing Chu

Published in: Journal of Intelligent Manufacturing | Issue 7/2017

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Abstract

User experience (UX) design plays a critical role in product experience engineering. To create a theoretical foundation of UX design, it is imperative to develop mathematical and computational models for elicitation, quantification, evaluation and reasoning of affective–cognitive needs that are inherent in the fulfillment of user experience. This paper explores the key research issues for understanding how human users’ subjective experience and affective prediction impact their choice behavior under uncertainty. A conceptual framework is envisioned by extending prospect theory in the field of behavioral economics to the modeling of user experience choice behavior, in which inference of affective influence is enacted through the shape parameters of prospect value functions.
previous article Product attributes and user experience design: how to convey product information through user-centered service

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Metadata
Title
Decision theoretic modeling of affective and cognitive needs for product experience engineering: key issues and a conceptual framework
Authors
Roger J. Jiao
Feng Zhou
Chih-Hsing Chu
Publication date
29-06-2016
Publisher
Springer US
Published in
Journal of Intelligent Manufacturing / Issue 7/2017
Print ISSN: 0956-5515
Electronic ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-016-1240-z

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