Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion
Author(s)Ji, Haifeng; Honda, Tomonori; Yang, Maria
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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.
DepartmentMassachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Volume 5: 37th Design Automation Conference, Parts A and B
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).
Final published version