Abstract
Although many technological devices and solutions to enhance the skiing experience are now available for skiers, skiing sometimes could turn to be potentially dangerous. The speed of movement, environment unpredictability, and variable weather conditions, among others, can contribute to some of the most common skiing injuries that skiers incur. In this paper, we conduct an interface prototype evaluation of a ski injury registration system architecture that is already developed. This system will improve the communication from the ski resort to the medical center, in case an injury has occurred. The results of the interface evaluation indicate that the ski patrollers showed very positive attitude and experience with this prototype. Furthermore, the post-task and SUS (System Usability Scale) question results showed very high score for all participants, indicating that locating the body parts and the right injury was very easy using the interface.
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Creyer, E.H., Ross, W., Evers, D.: Risky recreation: an exploration of factors influencing the likelihood of participation and the effects of experience. Leisure Stud. 22(3), 239–253 (2003)
Yayilgan, Y.S., Du, Y., Dalipi, F., Jeppesen, J.: A novel system architecture for efficient management of skiing injuries. In: 9th IEEE International Conference on Interactive Mobile Communication, Technologies and Learning. Thessaloniki, Greece (2015)
Boukerche, A., Ren, Y.: A secure mobile healthcare system using trust-based multicast scheme. IEEE JSAC 27, 387–399 (2009)
Banerjee, A., Gupta, S.K.S.: Analysis of Smart Mobile Applications for Healthcare under Dynamic Context Changes. IEEE Trans. Mob. Comput. 14(5), (2015)
Sebestyen, G., Hangan, A., Oniga, S., Gal, Z.: eHealth Solutions in the Context of Internet of Things. In: IEEE International Conference on Automation, Quality and Testing, Robotics. Cluj-Napoca, Romania (2014)
Andry, L.W.F., Nicholson, D.: A mobile application accessing patients health record through a REST API. In: The 4th International Conference on Health Informatics, pp. 27–32 (2011)
Griffin, L., Foley, C., de Leastar, E.: A hybrid architectural style for complex healthcare scenarios. In: IEEE International Conference on Communications Workshops, pp. 1–6. Dresden (2009)
Li, H.B., Kohno, R.: Body area network and its standardization at IEEE 802.15.BAN. In: Advances in Mobile and Wireless Communications, series: Lect. Notes Electr. Eng. 16(4), pp. 223–238. Springer, Berlin Heidelberg (2008)
Ng, W.S., Teo, J.C.M., Ang, W.T., Viswanathan, S., Tham, C.K.: Experiences on developing SOA based mobile healthcare services. In: IEEE Asia Pacific Services Computing Conference, pp. 498–501. Singapore (2009)
Pfleging, B., Schmidt, A., Michahelles, F.: Ubiqoitous Connectivity in the Mountains: Enhancing the Ski Experience. Pervasive Comput. 12(2), IEEE CS (2013)
Fedosov, A., Alt, F., Niforatos, E., Elhart, I.: Supporting interactivity on a ski lift. In: UbiComp/ISWC’15 Adjunct, Osaka, Japan, 7–11 Sept 2015
Fedosov, A., Langheinrich, M.: From start to finish: understanding group sharing behavior in a backcountry skiing community, MobileHCI’15. Copenhagen, Denmark, 24–27 Aug 2015
Delibaic, B., Obradovic, Z.: Towards a DGSS prototype for early warning for ski injuries. In: IEEE 28th International Conference on Data Engineering Workshops (ICDEW), Arlington, USA (2012)
NewScientist: Penetrometer predicts risk of avalanches, Swiss Federal Institute for Snow and Avalanche Research (Internet) (cited 7 March 2016). Available from: https://www.newscientist.com/article/dn3410-penetrometer-predicts-risk-of-avalanches/
RECCO®, The RECCO® System (Internet) 2013 (cited 25 Feb 2016). Available from: http://www.recco.com/the-recco-system
M52, Ski patrol software, (Internet) (cited 29 Feb 2016). Available from: https://www.medic52.com/
Jeppesen, J.C.: Risk of injury in Norwegian alpine resorts—do we know it?. In: The Proceedings of PMU (2012)
Dalipi, F., Mendoza, D.M.A., Imran, A.S., Yayilgan, Y.S.: An intelligent model for predicting the occurrence of skiing injuries. In: The 5th IEEE National Symposium on Information Technology: Towards New Smart Worlds—Wireless Systems and Networks. Riyadh, Saudi Arabia, 17–19 Feb 2015
Dalipi, F., Yayilgan, Y.S.: The impact of environmental factors to skiing injuries: Bayesian regularization neural network model for predicting skiing injuries. In: The 6th IEEE International Conference on Computing, Communication and Networking Technologies, (ICCCNT2015). Denton, USA, 13–15 July 2015
Brooke, J.: SUS—A Quick and Dirty Usability Scale. Digital Equipment Co Ltd., Reading, UK (1996)
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Authors of this paper would like to acknowledge the important contribution to this project work given by Jonas Jeppesen.
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Dalipi, F., Ferati, M., Yayilgan, S.Y. (2017). User Interface Evaluation of a Ski Injuries Management System. In: Salmon, P., Macquet, AC. (eds) Advances in Human Factors in Sports and Outdoor Recreation. Advances in Intelligent Systems and Computing, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-319-41953-4_19
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DOI: https://doi.org/10.1007/978-3-319-41953-4_19
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