PXAI-Coach: Designing and Evaluating a Person-Centric Explainable AI Dashboard for Athlete Health Monitoring and Coaching

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.

Authors

Institutions

Publication Details

Published
2025-04-21
DOI
https://doi.org/10.1109/abc64332.2025.11118561
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PXAI-Coach: Designing and Evaluating a Person-Centric Explainable AI Dashboard for Athlete Health Monitoring and Coaching

Melik Ozolcer, Tongze Zhang, Sang Won Bae, AnaMaria Laccetti
1 citations
Artificial Intelligence in Healthcare and Education
0.65
article

PXAI-Coach: Designing and Evaluating a Person-Centric Explainable AI Dashboard for Athlete Health Monitoring and Coaching

Melik Ozolcer, Tongze Zhang, Sang Won Bae, AnaMaria Laccetti
article en
1 citations

Abstract

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.

Stevens Institute of Technology (US)
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PXAI-Coach: Designing and Evaluating a Person-Centric Explainable AI Dashboard for Athlete Health Monitoring and Coaching — Melik Ozolcer, Tongze Zhang, et al. · (2025) | TGRS Research Map | TGRS