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Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion

[+] Author Affiliations
Haifeng Ji

Yahoo! Inc., Sunnyvale, CA

Tomonori Honda, Maria C. Yang

Massachusetts Institute of Technology, Cambridge, MA

Paper No. DETC2011-48749, pp. 231-240; 10 pages
doi:10.1115/DETC2011-48749
From:
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5: 37th Design Automation Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5482-2
  • Copyright © 2011 by ASME

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.

Copyright © 2011 by ASME
Topics: Design , Probability , Teams

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