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Supporting Golf Coaching and Swing Instruction with Computer-Based Training Systems
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))ORCID-id: 0000-0003-2900-9335
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Skövde Artificial Intelligence Lab (SAIL))
Department of Information Technology, University of Borås, Borås, Sweden.
Department of Information Technology, University of Borås, Borås, Sweden.
Vise andre og tillknytning
2015 (engelsk)Inngår i: 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, s. 279-290Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer International Publishing Switzerland , 2015. Vol. 9192, s. 279-290
Serie
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 9192
Emneord [en]
swing, golf, modeling
HSV kategori
Forskningsprogram
Teknik; Skövde Artificial Intelligence Lab (SAIL)
Identifikatorer
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 (tryckt)ISBN: 978-3-319-20609-7 (digital)OAI: oai:DiVA.org:his-11278DiVA, id: diva2:839309
Konferanse
17th International Conference on Human-Computer Interaction, Los Angeles, CA, USA, August 2-7, 2015
Prosjekter
GOATS (TIKT)Tilgjengelig fra: 2015-07-02 Laget: 2015-07-02 Sist oppdatert: 2025-02-11bibliografisk kontrollert

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