Evaluation Review on Wearable Technology Adoption for Sport Science

10 pages•Published: September 20, 2022

Widya Adiyatma, Tanty Oktavia, Cooky Tri Adhikara, Ford Lumban Gaol and Takaaki Hosoda

Abstract

Optimal monitoring of athletes is conducted by up-to-date information at the individual and sports organization. Technology to accommodate these data can be varied. One of the trends in the millennial generation is to use wearable technology, such as smartwatches. Deployment of wearable in sport organization setting for the monitoring of athlete performance. A recent innovation in wearable technology can support sports organizations to collect athlete data that come from kinetic and kinematic activity. Besides, the utilization of wearable technology can protect the athlete from several potential injuries. However, this adoption needs behavior analysis from the user who uses this device. Therefore, this research focus to identify the variable that has a significant impact on the athlete to decide to wear this application. To analysis the data, this study uses some technical statistical. The result shows that the decision to buy or to use the wearable technology is not decided by the hedonic factor, but the awareness of the person to monitor their health performance. It will be an opportunity for sports organizations to explore more this wearable technology in the future.

Keyphrases: adoption, athletes, smartwatch, sports organization, wearable technology

In: Tokuro Matsuo (editor). Proceedings of 11th International Congress on Advanced Applied Informatics, vol 81, pages 464-473.

Links:	https://easychair.org/publications/paper/rM3P
	https://doi.org/10.29007/k693

BibTeX entry

@inproceedings{IIAIAAI2021-Winter:Evaluation_Review_Wearable_Technology,
  author    = {Widya Adiyatma and Tanty Oktavia and Cooky Tri Adhikara and Ford Lumban Gaol and Takaaki Hosoda},
  title     = {Evaluation Review on Wearable Technology Adoption for Sport Science},
  booktitle = {Proceedings of 11th International Congress on Advanced Applied Informatics},
  editor    = {Tokuro Matsuo},
  series    = {EPiC Series in Computing},
  volume    = {81},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/rM3P},
  doi       = {10.29007/k693},
  pages     = {464-473},
  year      = {2022}}

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