dc.contributor.author	Cibulski, Lena	en_US
dc.contributor.author	Mitterhofer, Hubert	en_US
dc.contributor.author	May, Thorsten	en_US
dc.contributor.author	Kohlhammer, Jörn	en_US
dc.contributor.editor	Viola, Ivan and Gleicher, Michael and Landesberger von Antburg, Tatiana	en_US
dc.date.accessioned	2020-05-24T13:01:08Z
dc.date.available	2020-05-24T13:01:08Z
dc.date.issued	2020
dc.description.abstract	Design problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of Pareto-optimal solutions, thus informing a decision by the engineer. However, the complexity of evaluating and comparing alternatives increases with the number of criteria that need to be considered at the same time. We present a design study on Pareto front visualization to support engineers in applying their expertise and subjective preferences for selection of the most-preferred solution. We provide a characterization of data and tasks from the parametric design of electric motors. The requirements identified were the basis for our development of PAVED, an interactive parallel coordinates visualization for exploration of multi-criteria alternatives. We reflect on our user-centered design process that included iterative refinement with real data in close collaboration with a domain expert as well as a summative evaluation in the field. The results suggest a high usability of our visualization as part of a real-world engineering design workflow. Our lessons learned can serve as guidance to future visualization developers targeting multi-criteria optimization problems in engineering design or alternative domains.	en_US
dc.description.number	3
dc.description.sectionheaders	Vectors and Tensors
dc.description.seriesinformation	Computer Graphics Forum
dc.description.volume	39
dc.identifier.doi	10.1111/cgf.13990
dc.identifier.issn	1467-8659
dc.identifier.pages	405-416
dc.identifier.uri	https://doi.org/10.1111/cgf.13990
dc.identifier.uri	https://diglib.eg.org:443/handle/10.1111/cgf13990
dc.publisher	The Eurographics Association and John Wiley & Sons Ltd.	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	]
dc.subject	Human centered computing
dc.subject	Visual analytics
dc.subject	Applied computing
dc.subject	Engineering
dc.title	PAVED: Pareto Front Visualization for Engineering Design	en_US

PAVED: Pareto Front Visualization for Engineering Design

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