Technical Brief

Exploring the Role of Interaction Effects in Visual Conjoint Analysis

[+] Author and Article Information
Brian Sylcott

Department of Engineering,
East Carolina University,
Greenville, NC 27858
e-mail: sylcottb15@ecu.edu

Jeremy J. Michalek

Department of Mechanical Engineering,
Engineering and Public Policy,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: jmichalek@cmu.edu

Jonathan Cagan

Department of Mechanical Engineering,
Carnegie Mellon University,
Pittsburgh, PA 15213
e-mail: cagan@cmu.edu

Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received August 20, 2013; final manuscript received July 6, 2015; published online July 30, 2015. Assoc. Editor: Bernard Yannou.

J. Mech. Des 137(9), 094503 (Jul 30, 2015) (5 pages) Paper No: MD-13-1367; doi: 10.1115/1.4031054 History: Received August 20, 2013

In conjoint analysis, interaction effects characterize how preference for the level of one product attribute is dependent on the level of another attribute. When interaction effects are negligible, a main effects fractional factorial experimental design can be used to reduce data requirements and survey cost. This is particularly important when the presence of many parameters or levels makes full factorial designs intractable. However, if interaction effects are relevant, main effects design can create biased estimates and lead to erroneous conclusions. This work investigates consumer preference interactions in the nontraditional context of visual choice-based conjoint analysis, where the conjoint attributes are parameters that define a product's shape. Although many conjoint studies assume interaction effects to be negligible, they may play a larger role for shape parameters. The role of interaction effects is explored in two visual conjoint case studies. The results suggest that interactions can be either negligible or dominant in visual conjoint, depending on consumer preferences. Generally, we suggest using randomized designs to avoid any bias resulting from the presence of interaction effects.

Copyright © 2015 by ASME
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Green, P. E. , and Rao, V. R. , 1971, “Conjoint Measurement for Quantifying Judgmental Data,” J. Mark. Res., 8(3), pp. 355–363. [CrossRef]
Huber, J. , and Zwerina, K. , 1996, “The Importance of Utility Balance in Efficient Choice Designs,” J. Mark. Res., 33(3), pp. 307–317. [CrossRef]
Huber, J. , 2004, “Conjoint Analysis: How We Got Here and Where We Are (An Update),” Sawtooth Software Conference Proceedings, Sawtooth Software, Sequim, WA.
Swamy, S. , Orsborn, S. , Michalek, J. , and Cagan, J. , 2007, “Measurement of Headlight Form Preference Using Choice-Based Conjoint Analysis,” ASME Paper No. DETC2007-35409.
Petiot, J.-F. , and Dagher, A. , 2010, “Preference-Oriented Form Design: Application to Cars' Headlights,” Int. J. Interact. Des. Manuf., 5(1), pp. 17–27. [CrossRef]
Reid, T. N. , Gonzalez, R. D. , and Papalambros, P. Y. , 2010, “Quantification of Perceived Environmental Friendliness for Vehicle Silhouette Design,” ASME J. Mech. Des., 132(10), p. 101010. [CrossRef]
Kelly, J. C. , Maheut, P. , Petiot, J.-F. , and Papalambros, P. Y. , 2011, “Incorporating User Shape Preference in Engineering Design Optimisation,” J. Eng. Des., 22(9), pp. 627–650. [CrossRef]
Tseng, I. , Cagan, J. , and Kotovsky, K. , 2012, “Concurrent Optimization of Computationally Learned Stylistic Form and Functional Goals,” ASME J. Mech. Des., 134(11), p. 111006. [CrossRef]
Sylcott, B. , Cagan, J. , and Tabibnia, G. , 2013, “Understanding Consumer Tradeoffs Between Form and Function Through Metaconjoint and Cognitive Neuroscience Analyses,” ASME J. Mech. Des., 135(10), p. 101002. [CrossRef]
Green, P. E. , and Srinivasan, V. , 1990, “Conjoint Analysis in Marketing: New Developments With Implications for Research and Practice,” J. Mark., 54(4), pp. 3–19. [CrossRef]
Thurston, D. L. , 2001, “Real and Misconceived Limitations to Decision Based Design With Utility Analysis,” ASME J. Mech. Des., 123(2), pp. 176–182. [CrossRef]
Abbas, A. E. , 2009, “Multiattribute Utility Copulas,” Oper. Res., 57(6), pp. 1367–1383. [CrossRef]
Ross, A. M. , Hastings, D. E. , Warmkessel, J. M. , and Diller, N. P. , 2004, “Multi-Attribute Tradespace Exploration as Front End for Effective Space System Design,” J. Spacecr. Rockets, 41(1), pp. 20–28. [CrossRef]
Kulok, M. , and Lewis, K. , 2007, “A Method to Ensure Preference Consistency in Multi-Attribute Selection Decisions,” ASME J. Mech. Des., 129(10), pp. 1002–1011. [CrossRef]
Hagerty, M. , 1986, “The Cost of Simplifying Preference Models,” Mark. Sci., 5(4), pp. 298–319. [CrossRef]
Train, K. E. , 2003, Discrete Choice Methods With Simulation, Cambridge University Press, New York.
Orme, B. K. , Alpert, M. I. , and Christensen, E. , 1997, “Assessing the Validity of Conjoint Analysis-Continued,” Sawtooth Software Conference Proceedings, Sawtooth Software, Sequim, WA.
Kuhfeld, W. F. , 2010, “Marketing Research Methods in SAS. Experimental Design, Choice, Conjoint, and Graphical Techniques,” SAS Institute Inc., Cary, NC,
Sylcott, B. , 2013, “Understanding the Role of Aesthetic Judgment in Consumer Choice and Preference Modeling,” Ph.D. thesis, Carnegie Mellon University, Pittsburgh, PA.
Chrzan, K. , and Orme, B. , 2000, “An Overview and Comparison of Design Strategies for Choice-Based Conjoint Analysis,” Sawtooth Software Conference Proceedings, Hilton Head Island, SC, Sawtooth Software, Sequim, WA.
Train, K. , 1998, “Recreation Demand Models With Taste Differences Over People,” Land Econ., 74(2), pp. 230–239. [CrossRef]
Orme, B. , 2000, “Hierarchical Bayes: Why All the Attention?” Sawtooth Software Conference Proceedings.


Grahic Jump Location
Fig. 1

Four Bézier curves that make up the vase model

Grahic Jump Location
Fig. 3

Example vase preference trial

Grahic Jump Location
Fig. 5

Vehicle shape attributes

Grahic Jump Location
Fig. 6

Screenshot from vehicle preference survey



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