Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion
Author(s)
Ji, Haifeng
Honda, Tomonori
Yang, Maria C.
Date Issued
August 2011
Journal
Volume 5: 37th Design Automation Conference, Parts A and B
Publisher
ASME International
Citation
Ji, Haifeng, Tomonori Honda, and Maria C. Yang. “Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion.” Volume 5: 37th Design Automation Conference, Parts A and B (2011).
Version
Final published version
Abstract
Preferences are a formal way to represent a designer's choices when assigning priorities for a set of possible design alternatives within the context of the design process. A design team's preferences can change over the life of project, and knowledge of this evolution can be useful for understanding a team's rationale as well as its confidence in a decision. This paper presents a "sliding window" approach (SPPT) to the extraction of preference related information from transcribed design team discussion. The approach suggested in this paper can assess design preferences over time with a finer granularity than a previous approach known as PPT, and removes perturbations that occur when there is little design team discussion. Both SPPT and PPT were applied to a discussion transcript. Results show good consistency among SPPT, PPT and survey results. SPPT is also able to detect more changes in design team preference.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1115/DETC2011-48749
