Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
VISUAL CONJOINT – FROM DISCRETE TO CONTINUOUS
Orsborn, Seth; Cagan, Jonathan; Boatwright, Peter
Type:
Year:
2015
Editor:
Christian Weber, Stephan Husung, Marco CantaMESsa, Gaetano Cascini, Dorian Marjanovic, Srinivasan Venkataraman
Author:
Series:
ICED
Institution:
1: Bucknell University, United States of America; 2: Carnegie Mellon University, United States of America
Section:
Design Information and Knowledge Management
Page(s):
155-164
ISBN:
978-1-904670-73-5
ISSN:
2220-4334
Abstract:
One goal of designers is to find what users most likely appreciate and translate that into successful product designs. Over the past 15 years, the efficacy of visual conjoint analysis as a means to assess the visual preference of users has been explored and has demonstrated immense potential for product development and aesthetic design. Visual conjoint started within marketing but was adopted by engineering design due to its ability to map visual product attributes to quantifiable mathematical representations. Conjoint studies initially presented only discrete verbal options, which severely limited types of feedback that designers could acquire. As conjoint evolved and was adopted by engineering design, it began to include discrete imagery with verbal representations. This provided more information without requiring more cognitive processing by respondents. Engineering design then realized the advantage of having purely visual conjoint studies in that mathematically represented images could contain immense amounts of information in simple representations. Continuous visual conjoint leverages imagery that represents mathematical models of continuously variable design attributes.
Keywords:
