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Research Papers

Affective-Cognitive Modeling for User Experience With Modular Colored Fuzzy Petri Nets

[+] Author and Article Information
Qianli Xu

Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632

Feng Zhou

G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405roger.jiao@me.gatech.edu

Jianxin (Roger) Jiao1

G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405roger.jiao@me.gatech.edu

1

Corresponding author.

J. Comput. Inf. Sci. Eng 11(1), 011004 (Mar 30, 2011) (10 pages) doi:10.1115/1.3563047 History: Received May 21, 2010; Revised January 20, 2011; Published March 30, 2011; Online March 30, 2011

Design innovation that accommodates customers’ affective needs along with their cognitive decisions suggests itself to be of primary importance for a system to convey more added-value. Product development should accommodate complicated interactions among human users and multiple products, and thus entails the need for systematic modeling of users’ affective states in conjunction with the cognitive process. This paper adopts a perspective of designing product ecosystems with a particular focus on the activity-based user experience (UX). To model the affective-cognitive aspects of UX, a modular colored fuzzy Petri net (MCFPN) model is developed to capture the causal relations embedded in users’ affective responses and cognitive processes. The method is applied to design a product ecosystem of a subway station. Initial findings from simulation indicate that the ecosystem perspective of product design is a useful step toward affective-cognitive engineering, and the MCFPN formalism excels in incorporating UX into product development.

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Copyright © 2011 by American Society of Mechanical Engineers
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Figures

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Figure 1

Entities and relationships in a product ecosystem

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Service level versus capacity utilization

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Figure 7

Valence state of an individual user

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Figure 8

Service level with respect to user average valence

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Figure 9

Capacity utilization of individual products

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Figure 10

Change in valence level due to individual products

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Figure 2

Product ecosystem with activity-based user experience

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Figure 3

User activities in a subway station using BPMN

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Figure 4

CFPN module of the “choose control gate” activity

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Figure 5

CFPN network evolution for the “choose control gate” activity

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Figure 6

Generic user experiment model using MCFPN

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