Enhancing Performance and Well-being in the Sports Industry through Smart Sport Psychology

Authors

  • Jorge A. Ruiz Vanoye Universidad Politécnica de Pachuca
  • Ocotlán Díaz-Parra Universidad Politécnica de Pachuca
  • Alejandro Fuentes-Penna El Colegio de Morelos
  • Ricardo A. Barrera-Cámara Universidad Autónoma del Carmen

DOI:

https://doi.org/10.61467/2007.1558.2025.v16i2.1059

Keywords:

Smart Sport Psychology

Abstract

This paper proposes the definition of Smart Sport Psychology as the integration of advanced technologies, such as artificial intelligence (AI), machine learning and the Internet of Things (IoT), along with other emerging technologies, into the principles and practices of sport psychology. This approach uses smart devices, data analytics and virtual reality technologies to optimise athletes' mental and physical performance, personalise psychological interventions and improve athletes' overall well-being. Through a comprehensive literature review, we explore how these technologies can address common psychological problems among athletes, including stress, anxiety, motivation, mental recovery, concentration, self-confidence and psychological injury prevention. The results highlight the effectiveness of continuous monitoring, personalised interventions and real-time feedback, providing innovative, data-driven strategies to improve athletes' performance and well-being. The paper concludes that Smart Sport Psychology has the potential to transform the sport industry, offering effective and sustainable solutions for the holistic development of athletes. This review provides a conceptual and practical framework for the implementation of smart technologies in sport psychology, highlighting their importance and long-term benefits in the sport domain.

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Published

2025-03-25

How to Cite

Ruiz Vanoye, J. A., Díaz-Parra, O., Fuentes-Penna, A., & Barrera-Cámara, R. A. (2025). Enhancing Performance and Well-being in the Sports Industry through Smart Sport Psychology. International Journal of Combinatorial Optimization Problems and Informatics, 16(2), 1–16. https://doi.org/10.61467/2007.1558.2025.v16i2.1059

Issue

Section

Editorial

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