A study on design-oriented demands of VR via ZMET-QFD model for industrial design education and students' learning

The difficulty of Virtual Reality application in industrial design education and learning is VR engineers cannot comprehend what the important functions or elements are for students. In addition, a general-purpose VR usually confuses the students and provides neither good manipulation means nor useful toolkits. To solve these problems, the ZMET-QFD model presented in this paper, can translate the in-depth demands of VR into actual functions from the students’ thoughts. With a ZMET-QFD model, twenty-one items are determined to be the functions for VR from the students’ perspective. According to importance ranking, top ten items are: real-world parameters, physical database, multiple viewpoints, multiple-windows operation, ruler and unit display, environmental database, material database, multiple presentation models, graphical interface, and customized parameters. The findings of this study should lead to the creation of a concept of a designer-oriented virtual reality system that can truly help industrial design education and students’ learning.

[1]  Don Gunther,et al.  Quality Function Deployment - How to Make QFD Work for You , 2000 .

[2]  Gülçin Büyüközkan,et al.  Group decision making to better respond customer needs in software development , 2005, Comput. Ind. Eng..

[3]  Daniel Thalmann,et al.  Human shoulder modeling including scapulo-thoracic constraint and joint sinus cones , 2000, Comput. Graph..

[4]  Chelsea C. White,et al.  Key factors in the successful application of quality function deployment (QFD) , 2001, IEEE Trans. Engineering Management.

[5]  Paul Kauffmann,et al.  Integration of Kano's Model Into QFD for Multiple Product Design , 2007, IEEE Transactions on Engineering Management.

[6]  G. Zaltman.  Rethinking Market Research: Putting People Back In , 1997 .

[7]  J. Zaichkowsky.  Measuring the Involvement Construct , 1985 .

[8]  Louis Cohen,et al.  Quality Function Deployment: How to Make QFD Work for You , 1995 .

[9]  H. E. Krugman.  THE IMPACT OF TELEVISION ADVERTISING: LEARNING WITHOUT INVOLVEMENT , 1965 .

[10]  Wei Chen,et al.  Product Attribute Function Deployment (PAFD) for Decision-Based Conceptual Design , 2009, IEEE Transactions on Engineering Management.

[11]  Antonio Lanzotti,et al.  Concept design for quality in virtual environment , 2006, Comput. Graph..

[12]  F NeilMorris,et al.  How Customers Think: Essential Insights into the Mind of the Market , 2006 .

[13]  George Papagiannakis,et al.  Real Time Animation and Illumination in Ancient Roman Sites , 2007, Int. J. Virtual Real..

[14]  Shuchih Ernest Chang,et al.  Adoption of mobile Location-Based Services with Zaltman Metaphor Elicitation Techniques , 2009, Int. J. Mob. Commun..

[15]  Gerald Zaltman,et al.  Memory Change: An Intimate Measure of Persuasion , 2006, Journal of Advertising Research.

[16]  S. H. Choi,et al.  Multi-material virtual prototyping for product development and biomedical engineering , 2007, Comput. Ind..

[17]  Ayşe Okur,et al.  Using OWA aggregation technique in QFD: a case study in education in a textile engineering department , 2009 .

[18]  Yeong-Gil Shin,et al.  Coherence aware GPU‐based ray casting for virtual colonoscopy , 2009, Comput. Animat. Virtual Worlds.

[19]  Philip Sugai,et al.  Mapping the mind of the mobile consumer across borders , 2005 .

[20]  Silvia Rueda,et al.  A comparative study of awareness methods for peer-to-peer distributed virtual environments , 2008 .

[21]  Hubert P. H. Shum,et al.  Emulating human perception of motion similarity , 2008 .

[22]  Yoji Akao,et al.  Quality Function Deployment : Integrating Customer Requirements into Product Design , 1990 .

[23]  Pieter C. M. Cornelis.  Achieving Attraction Accountability Through an Attraction Response Matrix , 2010 .

[24]  Po-Ju Chen,et al.  Differences between male and female sport event tourists: A qualitative study , 2010 .

[25]  William Ho,et al.  Integrated analytic hierarchy process and its applications - A literature review , 2008, Eur. J. Oper. Res..

[26]  Kunwoo Lee,et al.  3D virtual simulator for breast plastic surgery , 2008 .

[27]  J. Zaichkowsky.  The Personal Involvement Inventory: Reduction, Revision, and Application to Advertising , 1994 .

[28]  Shuo-Fang Liu,et al.  A brief fatigue inventory of shoulder health developed by quality function deployment technique. , 2009, Journal of shoulder and elbow surgery.

[29]  Glenn L. Christensen,et al.  Mapping consumers' mental models with ZMET , 2002 .

[30]  E. Ertugrul Karsak,et al.  Fuzzy multiple objective programming framework to prioritize design requirements in quality function deployment , 2004, Comput. Ind. Eng..

[31]  Zülal Güngör,et al.  A mixed integer goal programming model for discrete values of design requirements in QFD , 2011 .

[32]  Kurt Matzler,et al.  How to make product development projects more successful by integrating Kano's model of customer satisfaction into quality function deployment , 1998 .

[33]  Wen-Tsann Lin,et al.  A study on performance of introducing ERP to semiconductor related industries in Taiwan , 2006 .

[34]  Li Pheng Khoo,et al.  A QFD-enabled product conceptualisation approach via design knowledge hierarchy and RCE neural network , 2005, Knowl. Based Syst..

[35]  G. Zaltman,et al.  Seeing the Voice of the Customer: Metaphor-based Advertising Research , 1995 .

[36]  Nadia Magnenat-Thalmann,et al.  Interactive Virtual Humans in Real-Time Virtual Environments , 2006, Int. J. Virtual Real..

[37]  Xiaoqing Frank Liu,et al.  Business-oriented software process improvement based on CMMI using QFD , 2010, Inf. Softw. Technol..