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D. Norman (2004)
Emotional design : why we love (or hate) everyday things
Y. Matsubara, M. Nagamachi (1997)
Hybrid kansei engineering system and design supportAdvances in Human Factors\/ergonomics, 20
P. Erto, A. Vanacore (2002)
A probabilistic approach to measure hotel service qualityTotal Quality Management, 13
C. Lawson, D. Montgomery (2006)
Logistic Regression Analysis of Customer Satisfaction DataQuality and Reliability Engineering International, 22
M. Nagamachi (1995)
Kansei Engineering: A new ergonomic consumer-oriented technology for product developmentInternational Journal of Industrial Ergonomics, 15
Y. Tanaka (1979)
Review of the methods of quantification.Environmental Health Perspectives, 32
C. Wu, M. Hamada (2000)
Experiments: Planning, Analysis, and Parameter Design Optimization
W. Karwowski, W. Marras (2003)
Occupational Ergonomics : Design and Management of Work Systems
A. Gustafsson, F. Ekdahl, B. Bergman (1999)
Conjoint Analysis - A Useful Tool in the Design ProcessTotal Quality Management & Business Excellence, 10
M. Ellekjær, S. Bisgaard (1998)
The use of experimental design in the development of new productsInternational Journal of Quality Science, 3
D. Eshelman (1992)
The quality toolbox
I. Evans, D. Morrison (1968)
Multivariate Statistical MethodsApplied statistics, 17
D. McDonagh, A. Bruseberg, C. Haslam (2002)
Visual product evaluation: exploring users' emotional relationships with products.Applied ergonomics, 33 3
Charles Berger, R. Blauth, David Boger, C. Bolster, Gary Burchill, W. DuMouchel, Fred Pouliot, Reinhart Richter, Allan Rubinoff, Diane Shen, Mike Timko, D. Walden (1993)
KANO’S METHODS FOR UNDERSTANDING CUSTOMER-DEFINED QUALITY, 2
E. Ott (1983)
Analysis of Means--A Graphical ProcedureJournal of Quality Technology, 15
John Wilson (1999)
Virtual environments applications and applied ergonomics.Applied ergonomics, 30 1
Simon Schütte, J. Eklund (2005)
Design of rocker switches for work-vehicles--an application of Kansei Engineering.Applied ergonomics, 36 5
Ned Kock (2006)
Virtual Reality Technology
G. Gironimo, A. Lanzotti, A. Vanacore (2006)
Concept design for quality in virtual environmentComput. Graph., 30
A. King, S. Sivaloganathan (1999)
Development of a Methodology for Concept Selection in Flexible Design StrategiesJournal of Engineering Design, 10
K. Ulrich (1995)
Product Design and Development
K. Ishikawa (1990)
Introduction to Quality Control
M. Nagamachi (1997)
Kansei engineering and comfortInternational Journal of Industrial Ergonomics, 19
D. Lin (1993)
A new class of supersaturated designsTechnometrics, 35
D. Hosmer, S. Lemeshow (1991)
Applied Logistic Regression
P. Wang, N. Kettaneh-Wold, D. Lin (1995)
Comments on Lin (1993)Technometrics, 37
Sangyoon Lee, Tian Chen, Jongseo Kim, S. Han, Zhigeng Pan, G. Kim (2004)
Affective property evaluation of virtual product designsIEEE Virtual Reality 2004
G. Box, J. Hunter, W. Hunter (2005)
Statistics for experimenters : design, innovation, and discovery
S. Ottosson (2002)
Virtual reality in the product development processJournal of Engineering Design, 13
A. Griffin, J. Hauser (1993)
The Voice of the CustomerMarketing Science, 12
J. O'Shaughnessy, N. O'shaughnessy (2002)
The marketing power of emotion
S. Barone, A. Lombardo, P. Tarantino (2007)
A weighted logistic regression for conjoint analysis and Kansei engineeringQuality and Reliability Engineering International, 23
Purpose – This paper aims at defining a structured process of continuous innovation in the product concept development phase by a statistical‐based Kansei engineering (KE) approach. It consists in the identification of quality elements satisfying both functional and emotional user needs, i.e. the total quality elements. Design/methodology/approach – The approach is developed integrating results from Kano and KE analysis. Three statistical methods considered to be suitable for KE study, are used: supersaturated design for concept configuration, ordinal logistic regression for data analysis, and EVA method for quality evaluation of the optimal concept. These methods are compared with the most used ones in KE regarding their efficacy, efficiency and easiness of use. An innovative procedure to exhibit concepts in a KE session is also presented. It uses the abstraction and association idea principles to elicit users' grade of agreement for a particular Kansei word. Findings – The proposed approach is fully exploited through a case study on train interior design, developed in a virtual reality (VR) laboratory. The evaluation of comfort improvements obtained by means of a new handle and handrail design is carried on with expert users in VR. A consistent increase of a quality index, by using the defined approach, was obtained. Originality/value – This work aims at contributing to the conception of new product solutions, which are appealing and saleable. The availability of virtual reality technologies and software capable to manage complex statistical analyses, will concretely aid designers and engineers in the ideation of high‐emotional‐quality products, which can be helpful for innovative enterprises to maintain and even increase their market position.
The TQM Journal – Emerald Publishing
Published: Jun 13, 2008
Keywords: Product development; Total quality management; Customer satisfaction; Design and development
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