1. Department of Information Technology, De La Salle University, Manila, Philippines
Email：sotiffanyanne@gmail.com (T.S.); elianamisaa@gmail.com (E.M.); juliacyrillecoronel@gmail.com (J.C.); dansnicolegene@gmail.com (N.D.); ongdaphne0327@gmail.com (D.O.); nathandominickngo@gmail.com (N.N.); ryan.ebardo@dlsu.edu.ph (R.E.); renato.molano@dlsu.edu.ph (R.M.)
*Corresponding author
Abstract—Traditionally, sports performance has been measured, monitored, and managed by human observation, making it susceptible to inaccuracies. With rapid advancements in sensor and wearable technologies, smartwatches have emerged as valuable tools for enhancing athletic performance. However, research exploring the sociotechnical factors driving their broader adoption within the sports community remains either limited or underdeveloped. In this study, we surveyed 161 athletes in the Philippines using a validated instrument grounded in a modified Technology Acceptance Model (TAM). Through Partial Least Squares Structural Equation Modeling (PLS-SEM), our exploratory quantitative analysis found that convenience positively influences perceived usefulness, prior experience positively affects perceived ease of use, perceived usefulness significantly impacts attitude, and attitude, in turn, influences the behavioral intention to use smartwatches.
Keywords—athletic performance, smartwatches, technology acceptance model
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Cite: Tiffany So, Eliana Misa, Julia Coronel, Nicole Dans, Daphne Ong, Nathan Ngo, Ryan Ebardo, and Renato Jose Molano, "Acceptance of Athletes in Using Smartwatches to Monitor Health and Performance Data," International Journal of Future Computer and Communication, vol. 14, no. 1, pp. 12-15, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
(CC BY 4.0)
