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Review Article

Beyond Substitution: A Multidimensional Benefit Analysis of Human-Machine Collaboration Mode and Its Extension in the Fields of Health and Sports

Steven Zhao1
1 University of Sheffield, UK.

Published Online: May-June 2026

Pages: 340-344

Abstract

By 2026, generative AI and autonomous agents have shifted from auxiliary tools to core collaborative partners in professional domains. This paper explores the multidimensional benefits of this human-machine paradigm through an interdisciplinary lens, focusing on its transformative impact on sports science and healthcare. We analyze how AI-driven predictive systems and wearables enable a paradigm shift from reactive tracking to proactive health intervention. Furthermore, using golf analytics as a vertical case study, we demonstrate how technologies like markerless 3D motion capture and big-data caddies democratize elite sports coaching by quantifying complex biomechanics and environmental variables. Finally, the paper addresses critical ethical and data privacy challenges in highly automated systems. This study underscores that future professional excellence will depend on the multiplier effect of human intuition and AI precision.

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https://ijrtmr.com/archives/10.59256/ijrtmr.20260603039

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