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contributor authorKatherine Fu
contributor authorJonathan Cagan
contributor authorKenneth Kotovsky
date accessioned2017-05-09T00:39:29Z
date available2017-05-09T00:39:29Z
date copyrightNovember, 2010
date issued2010
identifier issn1050-0472
identifier otherJMDEDB-27934#111005_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/144129
description abstractThis study examines how engineering design teams converge upon a solution to a design problem and how their solution is influenced by information given to them prior to problem solving. Specifically, the study considers the influence of the type of information received prior to problem solving on team convergence over time, as well as on the quality of produced solutions. To understand convergence, a model of the team members’ solution approach was developed through a cognitive engineering design study, specifically examining the effect of the introduction of a poor example solution or a good example solution prior to problem solving on the quality of the produced solutions. Latent semantic analysis was used to track the teams’ convergence, and the quality of design solutions was systematically assessed using pre-established criteria and multiple evaluators. Introducing a poor example solution was shown to decrease teams’ convergence over time, as well as the quality of their design solution; introducing a good example solution did not produce a statistically significant different effect on convergence compared with the control (with no prior example solution provided) but did lead to higher quality solutions.
publisherThe American Society of Mechanical Engineers (ASME)
titleDesign Team Convergence: The Influence of Example Solution Quality
typeJournal Paper
journal volume132
journal issue11
journal titleJournal of Mechanical Design
identifier doi10.1115/1.4002202
journal fristpage111005
identifier eissn1528-9001
keywordsDesign AND Teams
treeJournal of Mechanical Design:;2010:;volume( 132 ):;issue: 011
contenttypeFulltext


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