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.
Approaches for mapping between preferential probabilities and relative design preference ratings
Ji, Haifeng; Honda, Tomonori; Yang, Maria C.
Type:
Year:
2013
Editor:
Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author:
Series:
ICED
Institution:
1: Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, MA, USA; 2: Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; 3: Department of Mechanical Engineering and Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, MA, USA
Page(s):
277-286
ISBN:
978-1-904670-52-0
ISSN:
2220-4334
Abstract:
Assigning preferences to a set of design choices is an important activity in the design process. Previous research proposed a probabilistic approach to extracting preference information from transcripts of design team discussion in a low overhead, implicit way. However, the preference information that was extracted took the form of a "preferential probability," rather than a more traditional preference rating. Preference ratings describe the strength of how much a design team prefers a design choice, and several formal design techniques require such preference ratings. This paper examines the underlying theoretical mappings between preferential probabilities and relative preference ratings, and explores the feasibility of converting preferential probabilities into to relative preference ratings. The paper presents an algorithm for performing this conversion, and then illustrates the use of the algorithm by applying it to a case example. The method proposed in this research has the potential to link implicit preference information generated by real world design teams with formal design decision-making tools.
Keywords:
