Computational Notebooks as Co-Design Tools:Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

Autor: Amid Ayobi, Jacob Hughes, Christopher J Duckworth, Jakub J Dylag, Sam James, Paul Marshall, Matthew Guy, Anitha Kumaran, Adriane Chapman, Michael Boniface, Aisling Ann O'Kane

Publikováno v: Ayobi, A, Hughes, J, Duckworth, C J, Dylag, J J, James, S, Marshall, P, Guy, M J, Kumaran, A, Chapman, A, Boniface, M & O'Kane, A A 2023, Computational Notebooks as Co-Design Tools : Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models . in CHI 2023-Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems : Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems ., 300, Conference on Human Factors in Computing Systems-Proceedings, Association for Computing Machinery (ACM), CHI '23, Hamburg, Germany, 23/04/23 . https://doi.org/10.1145/3544548.3581424

Engaging end user groups with machine learning (ML) models can help align the design of predictive systems with people's needs and expectations. We present a co-design study investigating the benefits and challenges of using computational notebooks t

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https://hdl.handle.net/1983/2ecc4266-11a5-46a2-a83d-770d9a28e9d5