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

  • Sang Won Bae
  • , Ana Maria Laccetti
  • , Melik Ozolcer
  • , Tongze Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2025 International Conference on Activity and Behavior Computing, ABC 2025
ISBN (Electronic)9798331534370
DOIs
StatePublished - 2025
Event2025 International Conference on Activity and Behavior Computing, ABC 2025 - Al Ain, United Arab Emirates
Duration: 21 Apr 202525 Apr 2025

Publication series

Name2025 International Conference on Activity and Behavior Computing, ABC 2025

Conference

Conference2025 International Conference on Activity and Behavior Computing, ABC 2025
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period21/04/2525/04/25

Keywords

  • Explainable AI
  • Health Coaching
  • Person-Centered Design
  • Shared Decision Making
  • Wearables

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