CourtTime : Generating Actionable Insights into Tennis Matches Using Visual Analytics

Polk, Tom; Jäckle, Dominik; Häußler, Johannes; Yang, Jing

CourtTime : Generating Actionable Insights into Tennis Matches Using Visual Analytics

Dateien

CourtTime__Generating_Actionable_Insights_into_Amateur_Tennis_Matches_Using_Visual_Analytics (with acknowledgements).pdfGröße: 1.93 MBDownloads: 688

Datum

2019

Autor:innen

Polk, Tom

Jäckle, Dominik

Häußler, Johannes

Yang, Jing

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Zusammenfassung

Tennis players and coaches of all proficiency levels seek to understand and improve their play. Summary statistics alone are inadequate to provide the insights players need to improve their games. Spatio-temporal data capturing player and ball movements is likely to provide the actionable insights needed to identify player strengths, weaknesses, and strategies. To fully utilize this spatio-temporal data, we need to integrate it with domain-relevant context meta-data. In this paper, we propose CourtTime, a novel approach to perform data-driven visual analysis of individual tennis matches. Our visual approach introduces a novel visual metaphor, namely 1-D Space-Time Charts that enable the analysis of single points at a glance based on small multiples. We also employ user-driven sorting and clustering techniques and a layout technique that aligns the last few shots in a point to facilitate shot pattern discovery. We discuss the usefulness of CourtTime via an extensive case study and report on feedback from an amateur tennis player and three tennis coaches.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Visual analytics, tennis analysis, sports analytics, spatio-temporal analysis

Konferenz

IEEE Visual Analytics Science and Technology (VAST), IEEE Information Visualization (InfoVis), and IEEE Scientific Visualization (SciVis) 2019, 20. Okt. 2019 - 25. Okt. 2019, Vancouver, BC, Canada

Zitieren

ISO 690

POLK, Tom, Dominik JÄCKLE, Johannes HÄUSSLER, Jing YANG, 2019. CourtTime : Generating Actionable Insights into Tennis Matches Using Visual Analytics. IEEE Visual Analytics Science and Technology (VAST), IEEE Information Visualization (InfoVis), and IEEE Scientific Visualization (SciVis) 2019. Vancouver, BC, Canada, 20. Okt. 2019 - 25. Okt. 2019

BibTex

@inproceedings{Polk2019Court-46446,
  year={2019},
  title={CourtTime : Generating Actionable Insights into Tennis Matches Using Visual Analytics},
  author={Polk, Tom and Jäckle, Dominik and Häußler, Johannes and Yang, Jing}
}

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Universitätsbibliographie

Ja