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Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion

Author(s)
Ji, Haifeng; Honda, Tomonori; Yang, Maria C.
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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.
Date issued
2011-08
URI
http://hdl.handle.net/1721.1/120020
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Institute for Data, Systems, and Society
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
ISBN
978-0-7918-5482-2

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