TY - GEN
T1 - PXAI-Coach
T2 - 2025 International Conference on Activity and Behavior Computing, ABC 2025
AU - Bae, Sang Won
AU - Laccetti, Ana Maria
AU - Ozolcer, Melik
AU - Zhang, Tongze
N1 - Publisher Copyright:
©2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Smart health tracking systems have been implemented in sports with the aim to leverage athletes’ metrics to optimize coaching strategies, however, fully automated and generic interventions have led to demotivating athletes and disengagement. To fill in the gaps, we explore current health coaching strategies obtaining perceived benefits, risks, and challenges from off-the-shelf wearables that are relevant to performance and propose a person-centric health coaching dashboard design coupled with explainable AI (PXAI-Coach) to enable athletes to engage in health monitoring and coaching strategies. We interviewed 27 college student athletes and their 6 coaches to gain insight on their experiences using wearable technologies to monitor health and performance, and evaluated the proposed prototype design. We highlight design guidelines to personalize user goals, adapt preference needs, explore explainable algorithms, and support data-driven insights for informed decision-making.
AB - Smart health tracking systems have been implemented in sports with the aim to leverage athletes’ metrics to optimize coaching strategies, however, fully automated and generic interventions have led to demotivating athletes and disengagement. To fill in the gaps, we explore current health coaching strategies obtaining perceived benefits, risks, and challenges from off-the-shelf wearables that are relevant to performance and propose a person-centric health coaching dashboard design coupled with explainable AI (PXAI-Coach) to enable athletes to engage in health monitoring and coaching strategies. We interviewed 27 college student athletes and their 6 coaches to gain insight on their experiences using wearable technologies to monitor health and performance, and evaluated the proposed prototype design. We highlight design guidelines to personalize user goals, adapt preference needs, explore explainable algorithms, and support data-driven insights for informed decision-making.
KW - Explainable AI
KW - Health Coaching
KW - Person-Centered Design
KW - Shared Decision Making
KW - Wearables
UR - https://www.scopus.com/pages/publications/105015512519
UR - https://www.scopus.com/pages/publications/105015512519#tab=citedBy
U2 - 10.1109/ABC64332.2025.11118561
DO - 10.1109/ABC64332.2025.11118561
M3 - Conference contribution
AN - SCOPUS:105015512519
T3 - 2025 International Conference on Activity and Behavior Computing, ABC 2025
BT - 2025 International Conference on Activity and Behavior Computing, ABC 2025
Y2 - 21 April 2025 through 25 April 2025
ER -