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Designing digital tools for creative thinking: a case study from elite sports coaching

Maiden, N. ORCID: 0000-0001-6233-8320, Zachos, K. ORCID: 0000-0003-1977-7090, Lockerbie, J. ORCID: 0000-0003-3753-5546 , Brown, A. ORCID: 0000-0002-4676-970X, Steele, S. & Wolf, A. (2024). Designing digital tools for creative thinking: a case study from elite sports coaching. In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. ACM SIGCHI CHI'2024 Conference, 11-16 May 2024, Honolulu, USA. doi: 10.1145/3613905.3637146


This case study reports the process, outcome and selected lessons from designing a new digital experience for professionals in one field that has received little interest in computer-human interaction research – elite sports coaching. The digital experience provided professional coaches with interactive support for thinking more creatively when overcoming the challenges faced by athletes and teams. It was one of the first to report the co-development of digital tools collaboratively with and for elite coaches. The case study argues that the digital outcome, called Sport Sparks, advanced the state of the practice in co-creative AI and digital creativity support by deploying the tool for use by professionals working outside of a recognized creative industry. The research team also learned lessons from its reflections about the process and outcome that can inform the development of co-creative AI tools both in elite sports coaching and other professional domains beyond the creative industries.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © the authors | ACM, 2023. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record will be published in
Publisher Keywords: digital creativity support, co-creative AI, generative AI, elite sports coaching
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Bayes Business School > Management
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