THE EFFECT OF PRODUCT REPRESENTATION IN VISUAL CONJOINT ANALYSIS

被引:0
|
作者
Sylcott, Brian [1 ]
Orsborn, Seth [2 ]
Cagan, Jonathan [3 ]
机构
[1] Bucknell Univ, Dept Mech Engn, Lewisburg, PA 17837 USA
[2] Bucknell Univ, Sch Management, Lewisburg, PA 17837 USA
[3] Carnegie Mellon Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA
关键词
DESIGN; CHOICE; ATTRIBUTES; DECISIONS; ROBUST; MODEL; FORM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
When most designers set out to develop a new product they solicit feedback from potential consumers. These data are incorporated into the design process in an effort to more effectively meet customer requirements. Often these data are used to construct a model of consumer preference capable of evaluating candidate designs. Although the mechanics of these models have been extensively studied there are still some open questions, particularly with respect to models of aesthetic preference. When constructing preference models, simplistic product representations are often favored over high fidelity product models in order to save time and expense. This work investigates how choice of product representation can affect model performance in visual conjoint analysis. Preference models for a single product, a table knife, are derived using three different representation schemes; simple sketches, solid models, and 3D printed models. Each of these representations is used in a separate conjoint analysis survey. The results from this study showed that consumer responses were inconsistent and potentially contradictory between different representations. Consequently, when using conjoint analysis for product innovation, obtaining a true understanding of consumer preference requires selecting representations based on how accurately they convey the product details in question.
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页数:11
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