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Situation Modeling and Visual Analytics for Decision Support in Sports
University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics. (Skövde Artificial Intelligence Lab (SAIL))
University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0003-2900-9335
2014 (English)In: Proceedings of the 16th International Conference on Enterprise Information Systems, SciTePress, 2014, 539-544 p.Conference paper (Refereed)
Abstract [en]

High performance is a goal in most sporting activities, for elite athletes as well as for recreational practitioners, and the process of measuring, evaluating and improving performance is one fundamental aspect to why people engage in sports. This is a complex process which possibly involves analyzing large amounts of heterogeneous data in order to apply actions that change important properties for improved outcome. The number of computer based decision support systems in the context of data analysis for performance improvement is scarce. In this position paper we briefly review the literature, and we propose the use of information fusion, situation modeling and visual analytics as suitable tools for supporting decision makers, ranging from recreational to elite, in the process of performance evaluation.

Place, publisher, year, edition, pages
SciTePress, 2014. 539-544 p.
Keyword [en]
Sports, Decision Support, Situation Modeling, Visual Analytics, Information Fusion
National Category
Computer Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-9101DOI: 10.5220/0004973105390544ScopusID: 2-s2.0-84902355936OAI: oai:DiVA.org:his-9101DiVA: diva2:721124
Conference
16th International Conference on Enterprise Information Systems
Projects
Golf data analysis (GOATS)
Available from: 2014-06-03 Created: 2014-05-22 Last updated: 2014-08-22Bibliographically approved

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Publisher's full textScopushttp://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004973105390544

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