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Artificial Intelligence in Football: Coaching and Decision Support
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 2.63 MB | Adobe PDF |
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Orientador(es)
Resumo(s)
The advent of artificial intelligence (AI) in football coaching marks a significant
paradigm shifts in the way the sport is approached, understood, and played. This thesis
explores the multifaceted impact of AI-driven technologies on football coaching, focusing on
performance enhancement, strategic decision-making, injury prevention, and player
development. Drawing upon a comprehensive literature review, this study examines the
evolution of AI applications in football, from basic performance metrics to sophisticated
predictive analytics and computer vision systems. Research findings highlight the
transformative potential of AI in revolutionizing player analysis, tactical insights, talent
scouting, and recruitment strategies. Utilizing the Technology Acceptance Model (TAM) as a
theoretical framework, the thesis investigates the factors influencing the adoption of AIdriven technologies among football coaches and practitioners. Through in-depth interviews,
participants' perceptions of the usefulness, ease of use, awareness, price value, facilitating
conditions, and ethical considerations surrounding AI technologies in football coaching are
analysed. The research findings shed light on the attitudes, beliefs, and experiences of football
analysts towards AI-driven coaching tools, offering valuable insights into the adoption process
and identifying key drivers and barriers to technology acceptance. Practical implications for
coaches, technology developers, and sports organizations are discussed, aiming to facilitate
the successful integration of AI in football coaching practices. Overall, this thesis contributes
to advancing our understanding of the role of AI in football coaching, paving the way for future
research and innovation in leveraging technology to optimize player performance, strategy
formulation, and overall player and team success.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Artificial Intelligence Football Advanced Analytics Data Computer Vision Coaching Decision Performance SDG 3 - Good health and well-being SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 17 - Partnerships for the goals