DocumentCode :
1522874
Title :
User Experience Modeling and Simulation for Product Ecosystem Design Based on Fuzzy Reasoning Petri Nets
Author :
Zhou, Feng ; Jiao, Roger J. ; Xu, Qianli ; Takahashi, Koji
Author_Institution :
G.W. Woodruff Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
42
Issue :
1
fYear :
2012
Firstpage :
201
Lastpage :
212
Abstract :
Product ecosystem design entails complex user experience (UX) that involves interactions among multiple users, products, and the ambience. This paper aims to capture causal relationships between UX and design elements and in turn to provide decision support to product ecosystem analysis. A fuzzy reasoning Petri net is developed to deal with the uncertainty, complexity, and dynamics associated with UX modeling. Reasoning of diverse constructs of UX is embedded in the fuzzy production rules that are derived from self-report UX data based on rough set mining. A fuzzy reasoning algorithm is implemented to perform parallel inference by multicriteria rules and to simulate most likely UX under different ambient factors. A case study of subway station UX design demonstrates the potential of product ecosystem FRPN formulation.
Keywords :
Petri nets; data mining; fuzzy reasoning; inference mechanisms; product design; production engineering computing; rough set theory; fuzzy production rules; fuzzy reasoning Petri nets; multicriteria rules; parallel inference; product ecosystem design; rough set mining; user experience modeling; Biological system modeling; Cognition; Context; Ecosystems; Mathematical model; Predictive models; Production; Fuzzy reasoning Petri net (FRPN); modeling and simulation; product ecosystem; user experience (UX) design;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/TSMCA.2011.2147309
Filename :
5772024
Link To Document :
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