Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
PXAI-Coach: Designing and Evaluating a Person-Centric Explainable AI Dashboard for Athlete Health Monitoring and Coaching
1
Zitationen
4
Autoren
2025
Jahr
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.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.493 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.377 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.835 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.555 Zit.