Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion
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 un...
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| Format: | Article |
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ASME International
2019
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| Online Access: | http://hdl.handle.net/1721.1/120020 https://orcid.org/0000-0003-2365-1378 https://orcid.org/0000-0002-7776-3423 |
| _version_ | 1826217341746151424 |
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| author | Ji, Haifeng Honda, Tomonori Yang, Maria C. |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Ji, Haifeng Honda, Tomonori Yang, Maria C. |
| author_sort | Ji, Haifeng |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T17:02:07Z |
| format | Article |
| id | mit-1721.1/120020 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T17:02:07Z |
| publishDate | 2019 |
| publisher | ASME International |
| record_format | dspace |
| spelling | mit-1721.1/1200202022-10-03T09:57:49Z Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion Ji, Haifeng Honda, Tomonori Yang, Maria C. Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Institute for Data, Systems, and Society Ji, Haifeng Honda, Tomonori Yang, Maria 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. National Science Foundation (U.S.) ( Award CMMI-0900255) 2019-01-14T14:00:23Z 2019-01-14T14:00:23Z 2011-08 2019-01-11T20:06:44Z Article http://purl.org/eprint/type/ConferencePaper 978-0-7918-5482-2 http://hdl.handle.net/1721.1/120020 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). https://orcid.org/0000-0003-2365-1378 https://orcid.org/0000-0002-7776-3423 http://dx.doi.org/10.1115/DETC2011-48749 Volume 5: 37th Design Automation Conference, Parts A and B 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. application/pdf ASME International ASME |
| spellingShingle | Ji, Haifeng Honda, Tomonori Yang, Maria C. Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion |
| title | Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion |
| title_full | Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion |
| title_fullStr | Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion |
| title_full_unstemmed | Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion |
| title_short | Granularity Enhancement of Extracted Preferential Probabilities From Design Team Discussion |
| title_sort | granularity enhancement of extracted preferential probabilities from design team discussion |
| url | http://hdl.handle.net/1721.1/120020 https://orcid.org/0000-0003-2365-1378 https://orcid.org/0000-0002-7776-3423 |
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