User Experience Modeling and Simulation for Product Ecosystem Design Based on Fuzzy Reasoning Petri Nets

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 rea...

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Published inIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans Vol. 42; no. 1; pp. 201 - 212
Main Authors Feng Zhou, Jiao, R. J., Qianli Xu, Takahashi, K.
Format Journal Article
LanguageEnglish
Published IEEE 01.01.2012
Institute of Electrical and Electronics Engineers (IEEE)
Subjects
Algorithms
Biological system modeling
Cognition
Computer simulation
Context
Design engineering
Ecosystems
Fuzzy
Fuzzy logic
Fuzzy reasoning Petri net (FRPN)
Inference
Mathematical model
Mathematical models
modeling and simulation
Predictive models
product ecosystem
Production
user experience (UX) design
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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.
AbstractList 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.
Author Qianli Xu
Jiao, R. J.
Feng Zhou
Takahashi, K.
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Snippet Product ecosystem design entails complex user experience (UX) that involves interactions among multiple users, products, and the ambience. This paper aims to...
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SubjectTerms Algorithms
Biological system modeling
Cognition
Computer simulation
Context
Design engineering
Ecosystems
Fuzzy
Fuzzy logic
Fuzzy reasoning Petri net (FRPN)
Inference
Mathematical model
Mathematical models
modeling and simulation
Predictive models
product ecosystem
Production
user experience (UX) design
Title User Experience Modeling and Simulation for Product Ecosystem Design Based on Fuzzy Reasoning Petri Nets
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