Developing Interventions to Overcome Resistance to the Adoption of Artificial Intelligence in the Analysis of the Biomechanical Performance of Elite Zimbabwean Footballers.
- Author
- Chokwenda, Calvin
- Title
- Developing Interventions to Overcome Resistance to the Adoption of Artificial Intelligence in the Analysis of the Biomechanical Performance of Elite Zimbabwean Footballers.
- Abstract
- The dissertation topic focused on developing interventions to address resistance to the adoption of artificial intelligence in analyzing the biomechanical performance of elite footballers. This research aimed to explore methods to overcome barriers and promote the utilization of AI technologies in enhancing the understanding of athletes' biomechanics. It managed to bridge the gap between traditional methods and advanced AI tools to optimize performance analysis in elite sports settings. The study intended to offer practical strategies and interventions to facilitate the integration of AI in biomechanical assessments, ultimately contributing to improved performance outcomes and processes concerning decision making in football. Through a combination of qualitative and quantitative research methods, this dissertation provided valuable insights for sports professionals, researchers, and technology developers aiming to leverage AI in optimizing the performance and health of elite footballers. Results from the study established that AI is now the way to for sports performance optimization through injury prevention. The possible future effect of the findings in the body of knowledge is that resistance in the adoption of AI can be easily tackled since there are now interventions put in place on overcoming the resistance. The research intended to uncover barriers and develop recommendations to facilitate the acceptance and integration of AI tools in biomechanical analysis in elite football settings.
- Date
- MARCH 2024
- Publisher
- BUSE
- Keywords
- Artificial Intelligence, Overcome Resistance, Biomechanical Performance,Zimbabwean Footballers.
- Supervisor
- NIL
