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dc.contributor.authorOno, Jorge H. Piazentinen_US
dc.contributor.authorDietrich, Carlosen_US
dc.contributor.authorSilva, Claudio T.en_US
dc.contributor.editorJeffrey Heer and Heike Leitte and Timo Ropinskien_US
dc.date.accessioned2018-06-02T18:09:32Z
dc.date.available2018-06-02T18:09:32Z
dc.date.issued2018
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13436
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13436
dc.description.abstractIn sports, Play Diagrams are the standard way to represent and convey information. They are widely used by coaches, managers, journalists and fans in general. There are situations where diagrams may be hard to understand, for example, when several actions are packed in a certain region of the field or there are just too many actions to be transformed in a clear depiction of the play. The representation of how actions develop through time, in particular, may be hardly achieved on such diagrams. The time, and the relationship among the actions of the players through time, is critical on the depiction of complex plays. In this context, we present a study on how player actions may be clearly depicted on 2D diagrams. The study is focused on Baseball plays, a sport where diagrams are heavily used to summarize the actions of the players. We propose a new and simple approach to represent spatiotemporal information in the form of a timeline. We designed our visualization with a requirement driven approach, conducting interviews and fulfilling the needs of baseball experts and expert-fans. We validate our approach by presenting a detailed analysis of baseball plays and conducting interviews with four domain experts.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectInformation visualization
dc.titleBaseball Timeline: Summarizing Baseball Plays Into a Static Visualizationen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersApplications
dc.description.volume37
dc.description.number3
dc.identifier.doi10.1111/cgf.13436
dc.identifier.pages491-501


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  • 37-Issue 3
    EuroVis 2018 - Conference Proceedings

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