The Impact of Big Data and Sports Analytics on Professional Football: A Systematic Literature Review

Herberger, Tim Alexander; Litke, Christoph

doi:10.1007/978-3-030-77340-3_12

Cited by 8 publications

(1 citation statement)

References 46 publications

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“…Research in the sport sciences has developed new analytic capabilities based on AI algorithms that analyse large datasets in sports such as professional football (e.g., Herberger & Litke, 2021) and swimming (e.g., Costa et al, 2021). Technologies used in elite athlete coaching included force‐time curve analysis of athletic movements such as countermovement jumps, isometric joint position holds and sidestep changes of direction (Millett et al, 2018), and GPS tracking of athletes in training and competition to profile running intensities, accelerations and decelerations.…”

Section: Related Workmentioning

confidence: 99%

Designing new digital tools to augment human creative thinking at work: An application in elite sports coaching

et al. 2022

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Creative thinking is desirable in many professions. This article reports new research that followed a design science approach to develop and investigate a co-creative tool called Sport Sparks in one professionthe coaching of professional football players.In response to a coach entering a text description of a coaching challenge (e.g., struggling to maintain the fitness of an athlete) into the tool, the tool automatically generated potentially novel ideas (e.g., reducing game time and changing their nutrition) that the coach could select and/or adapt and evolve into a simple action plan (e.g., which links nutrition to increased game time). This Sport Sparks tool was designed to be an example of human-centred artificial intelligence that aspires to empower humans, to deliver high levels of human control as well as automation, and empower people rather than emulate their expertise. It was engineered with rulebased reasoning to automate the generation of potential new ideas that coaches could select and refine during interactions which provide high user control over this automation. The potential of such a co-creative tool, and value of the guidelines, were demonstrated during the tool's evaluation by coaching practitioners at a Premier League football club. The practitioners used the tool to generate new ideas to coaching challenges, and reported evidence of different forms of creative thinking, although some also reported the need for more support for creative collaborations and solution planning. The paper ends by discussing future directions for both the Sport Sparks tool and other co-creative AI tools.co-creative AI tools, creativity, design guidelines, elite coaching, human-centred AI, sports | INTRODUCTIONCreativity is defined as the ability to produce work that is novel and original, as well as appropriate and useful (Sternberg, 1999). The need for more creative thinking and outcomes is well-documented, for example, to solve complex problems (e.g., Isaksen et al., 2011) and facilitate innovation (e.g., Design Council, 2011). Digital tools to support human creativity and more creative engagement has become one of the means to meet this need (e.g., Candy, 2007). People use these tools to, for example, discover new information, synthesize novel content from existing material,

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Section: Related Workmentioning

confidence: 99%