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contributor authorFillingim, Kenton B.
contributor authorShapiro, Hannah
contributor authorFu, Katherine K.
date accessioned2023-08-16T18:43:16Z
date available2023-08-16T18:43:16Z
date copyright12/9/2022 12:00:00 AM
date issued2022
identifier issn1050-0472
identifier othermd_145_4_042302.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292378
description abstractThis research examines how cognitive bias manifests in the design activities of graduate student design teams, with a particular focus on how to uncover evidence of these biases through survey-based data collection. After identifying bias in design teams, this work discusses those biases with consideration for the intent of error management, through the lens of adaptive rationality. Data were collected in one graduate-level design course across nine design teams over the course of a semester-long project. Results are shown for five different types of bias: bandwagon, availability, status quo, ownership, and hindsight biases. The conclusions drawn are based on trends and statistical correlations from survey data, as well as course deliverables. This work serves as a starting point for highlighting the most common forms of bias in design teams, with the goal of developing ways in which to mitigate those biases in future work.
publisherThe American Society of Mechanical Engineers (ASME)
titleError Management Bias in Student Design Teams
typeJournal Paper
journal volume145
journal issue4
journal titleJournal of Mechanical Design
identifier doi10.1115/1.4055899
journal fristpage42302-1
journal lastpage42302-10
page10
treeJournal of Mechanical Design:;2022:;volume( 145 ):;issue: 004
contenttypeFulltext


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