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12:00 22:45 32:30 41:22 50:20
Time (mm:ss)
Selection Entropy
Carafes
Filters
Figure 5.7 Entropy of Design Selection
These information entropy values are consistent with the conjecture that the team
started with lower certainty (higher entropy) and was more certain of the most-preferred
choice when the team reached the agreement. One comment is that when
additional information is given to the team, this might not be true because the team
may re-assess all alternatives. In this experiment, it was also observed that the entropy
values for the filter selection exercise did not change until Time Interval 2. The reason
is that the design team only started discussion on the filter component in Time Interval
2.
Object Description
| Title | Extraction of preferential probabilities from early stage engineering design team discussion |
| Author | Ji, Haifeng |
| Author email | haifengj@usc.edu; haifeng.ji@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Industrial & Systems Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2008-08-19 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-10-07 |
| Advisor (committee chair) | Yang, Maria C. |
| Advisor (committee member) |
Lu, Stephen Jin, Yan |
| Abstract | Activities in the early stage of engineering design typically include the generation of design choices and selection among these design choices. A key notion in design alternative selection is that of preference in which a designer or design team assigns priorities to a set of design choices. However, preferences become more challenging to assign on both a practical and theoretical level when done by a group of individuals. Preferences may also be explicitly obtained via surveys or questionnaires in which designers are asked to rank the choices, rate choice with values, or select a "most-preferred" choice. However, these methods are typically employed at a single point of time; therefore, it may not be practical to use surveys to elicit a team’s preference change and evolution throughout the process.; This research explores the text analysis on the design discussion transcripts and presents a probabilistic approach for implicitly extracting a projection of aggregated preference-related information from the transcripts. The approach in this research graphically represents how likely a choice is to be "most preferred" by a design team over time. For evaluation purpose, two approaches are established for approximating a team's "most preferred" choice in a probabilistic way from surveys of individual team members. A design selection experiment was conducted to determine possible correlations between the preferential probabilities estimated from the team's discussion and survey ratings explicitly stated by team members. Results suggest that there are strong correlations between extracted preferential probabilities and team intents that are stated explicitly, and that the proposed methods can provide a quantitative way to understand and represent qualitative design information using a low overhead information extraction method. |
| Keyword | preferences; probabilities; concept selection; design process; design decision-making |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m1635 |
| Contributing entity | University of Southern California |
| Rights | Ji, Haifeng |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-Ji-2413 |
| Archival file | uscthesesreloadpub_Volume14/etd-Ji-2413.pdf |
Description
| Title | Page 104 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 92 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 12:00 22:45 32:30 41:22 50:20 Time (mm:ss) Selection Entropy Carafes Filters Figure 5.7 Entropy of Design Selection These information entropy values are consistent with the conjecture that the team started with lower certainty (higher entropy) and was more certain of the most-preferred choice when the team reached the agreement. One comment is that when additional information is given to the team, this might not be true because the team may re-assess all alternatives. In this experiment, it was also observed that the entropy values for the filter selection exercise did not change until Time Interval 2. The reason is that the design team only started discussion on the filter component in Time Interval 2. |
