Understanding the Person-specific Predictors of Athlete Performance: Ubicomp/ISWC 2024 Doctoral Colloquium

Physical health, mental health, nutrition, and sleep are four important pillars that affect athlete performance. Within these pillars, there are over twenty variables that affect an athlete's development and performance, however, to our knowledge, there is no analytical tool for individual athletes to understand how these interrelated variables quantitatively affect their performance. Little is understood about the challenges of making use of rich collections of diverse tracking data and current athlete management and recommender systems fall short of providing personalised feedback about the athlete's short- and long-term goals. Analytical methods appropriate for highly heterogeneous and multivariate data need to be used to personalise feedback to athletes, such as within-subject classification methods. Current research and industry methods lack the translation of both linear and non-linear intra- and inter-individual variations of relationships onto an interactive network visualisation for athletes. This research aims to enable athletes to make decisions that optimise their performance by harnessing their own personal data. Athletes should be able to easily understand and explore their rich, quantified, multivariate self.