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Supporting Golf Coaching and Swing Instruction with Computer-Based Training Systems
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0003-2900-9335
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))
Department of Information Technology, University of Borås, Borås, Sweden.
Department of Information Technology, University of Borås, Borås, Sweden.
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2015 (English)In: Learning and Collaboration Technologies: Second International Conference, LCT 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings / [ed] Panayiotis Zaphiris & Andri Ioannou, Springer International Publishing Switzerland , 2015, Vol. 9192, p. 279-290Conference paper, Published paper (Refereed)
Abstract [en]

Golf is a popular sport around the world. Since an accomplished golf swing is essential for succeeding in this sport, golf players spend a considerable amount of time perfecting their swing. In order to guide the design of future computer-based training systems that support swing instruction, this paper analyzes the data gathered during interviews with golf instructors and participant observations of actual swing coaching sessions. Based on our field work, we describe the characteristics of a proficient swing, how the instructional sessions are normally carried out and the challenges professional instructors face. Taking into account these challenges, we outline which desirable capabilities future computer-based training systems for professional golf instructors should have.

Place, publisher, year, edition, pages
Springer International Publishing Switzerland , 2015. Vol. 9192, p. 279-290
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743 ; 9192
Keywords [en]
swing, golf, modeling
National Category
Engineering and Technology
Research subject
Technology; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-11278DOI: 10.1007/978-3-319-20609-7_27ISI: 000364718200027Scopus ID: 2-s2.0-84947054922ISBN: 978-3-319-20608-0 ISBN: 978-3-319-20609-7 OAI: oai:DiVA.org:his-11278DiVA, id: diva2:839309
Conference
17th International Conference on Human-Computer Interaction, Los Angeles, CA, USA, August 2-7, 2015
Projects
GOATS (TIKT)Available from: 2015-07-02 Created: 2015-07-02 Last updated: 2018-03-28Bibliographically approved

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Riveiro, MariaDahlbom, Anders

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