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

Author:

Ayobi Amid1ORCID,Hughes Jacob2ORCID,Duckworth Christopher J3ORCID,Dylag Jakub J3ORCID,James Sam2ORCID,Marshall Paul2ORCID,Guy Matthew4ORCID,Kumaran Anitha4ORCID,Chapman Adriane3ORCID,Boniface Michael3ORCID,O'Kane Aisling Ann2ORCID

Affiliation:

1. University College London, United Kingdom

2. University of Bristol, United Kingdom

3. University of Southampton, United Kingdom

4. University Hospital Southampton, United Kingdom

Funder

UK Research and Innovation

Publisher

ACM

Reference99 articles.

1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems

2. American Association of Diabetes Education. 2009. AADE Guidelines for the Practice of Diabetes Self-Management Education and Training (DSME/T). Diabetes Educ 35, 3_suppl (November 2009 ), 85S-107S. DOI:https://doi.org/10.1177/0145721709352436 10.1177/0145721709352436 American Association of Diabetes Education. 2009. AADE Guidelines for the Practice of Diabetes Self-Management Education and Training (DSME/T). Diabetes Educ 35, 3_suppl (November 2009), 85S-107S. DOI:https://doi.org/10.1177/0145721709352436

3. Amid Ayobi , Tobias Sonne , Paul Marshall , and Anna L. Cox . 2018. Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals . In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18) , Association for Computing Machinery, Montreal QC, Canada, 1–14. DOI:https://doi.org/10.1145/3173574.3173602 10.1145/3173574.3173602 Amid Ayobi, Tobias Sonne, Paul Marshall, and Anna L. Cox. 2018. Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18), Association for Computing Machinery, Montreal QC, Canada, 1–14. DOI:https://doi.org/10.1145/3173574.3173602

4. Amid Ayobi , Katarzyna Stawarz , Dmitri Katz , Paul Marshall , Taku Yamagata , Raúl Santos-Rodríguez , Peter Flach , and Aisling Ann O'Kane . 2021 . Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning . Joint Proceedings of the ACM IUI 2021 Workshops , April 13-17, 2021, College Station, USA. DOI:http://ceur-ws.org/Vol-2903/IUI21WS-TExSS-3.pdf Amid Ayobi, Katarzyna Stawarz, Dmitri Katz, Paul Marshall, Taku Yamagata, Raúl Santos-Rodríguez, Peter Flach, and Aisling Ann O'Kane. 2021. Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning. Joint Proceedings of the ACM IUI 2021 Workshops, April 13-17, 2021, College Station, USA. DOI:http://ceur-ws.org/Vol-2903/IUI21WS-TExSS-3.pdf

5. Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies

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