TY - JOUR
T1 - Global Insights on Wearable Technology Adoption by Coaches
T2 - Determinants of Current Use, Decision Making, and Future Intention To Use
AU - Düking, Peter
AU - Forster, André
AU - Wicker, Pamela
AU - Van Hooren, Bas
AU - Masur, Lukas
AU - Zanini, Michele
AU - Sperlich, Billy
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - Background: This study examines whether coaches use wearable technologies to individualize training procedures, and which factors influence both their current use and future intention to use such devices. Methods: Based on the technology acceptance model, we developed a questionnaire to assess the use of wearable technology for individualizing training procedures. Following a pilot investigation that included an exploratory analysis of a sample of 36 coaches, multiple regression models were used to confirm these exploratory results in a larger sample of 130 coaches (n = 5 Tier 1, n = 47 Tier 2, n = 52 Tier 3, n = 22 Tier 4, n = 4 Tier 5) from 14 countries. Results: All surveyed coaches used some form of wearable technology to individualize training procedures. The most frequently used parameters included heart rate-related data (88.5% of participants) and GPS-related data (87.7% of participants). On a 1–7 Likert scale, coaches reported a 4.5 ± 1.4 (“somewhat agree”) that wearable technology influences decision making. Current use of wearable technology showed a significant positive association with “perceived job relevance”, while the influence of wearable technology on decision-making in training procedures was positively associated with “output quality”. The future “intention to use” wearable technologies correlated positively with “perceived usefulness”. Conclusion: All coaches in this study used some wearable technology to individualize training procedures. Coaches “somewhat agree” that wearables have an effect on their decision-making. For wearable technology to effectively influence coaches’ decision-making during training, these technologies must provide high quality outputs and must be perceived as useful to increase future adoption. Coaches expressed a need for demonstrable results and they must perceive wearables as useful.
AB - Background: This study examines whether coaches use wearable technologies to individualize training procedures, and which factors influence both their current use and future intention to use such devices. Methods: Based on the technology acceptance model, we developed a questionnaire to assess the use of wearable technology for individualizing training procedures. Following a pilot investigation that included an exploratory analysis of a sample of 36 coaches, multiple regression models were used to confirm these exploratory results in a larger sample of 130 coaches (n = 5 Tier 1, n = 47 Tier 2, n = 52 Tier 3, n = 22 Tier 4, n = 4 Tier 5) from 14 countries. Results: All surveyed coaches used some form of wearable technology to individualize training procedures. The most frequently used parameters included heart rate-related data (88.5% of participants) and GPS-related data (87.7% of participants). On a 1–7 Likert scale, coaches reported a 4.5 ± 1.4 (“somewhat agree”) that wearable technology influences decision making. Current use of wearable technology showed a significant positive association with “perceived job relevance”, while the influence of wearable technology on decision-making in training procedures was positively associated with “output quality”. The future “intention to use” wearable technologies correlated positively with “perceived usefulness”. Conclusion: All coaches in this study used some wearable technology to individualize training procedures. Coaches “somewhat agree” that wearables have an effect on their decision-making. For wearable technology to effectively influence coaches’ decision-making during training, these technologies must provide high quality outputs and must be perceived as useful to increase future adoption. Coaches expressed a need for demonstrable results and they must perceive wearables as useful.
KW - Artificial intelligence
KW - Data-informed training
KW - Digital health
KW - Digital training
KW - EHealth
KW - Innovation
KW - MHealth
U2 - 10.1186/s40798-025-00919-5
DO - 10.1186/s40798-025-00919-5
M3 - Article
SN - 2198-9761
VL - 11
JO - Sports medicine - open
JF - Sports medicine - open
IS - 1
M1 - 131
ER -