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

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

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)
46 Downloads (Pure)

Abstract

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 to inform ML models with end user groups. We used a computational notebook to engage young adults, carers, and clinicians with an example ML model that predicted health risk in diabetes care. Through co-design workshops and retrospective interviews, we found that participants particularly valued using the interactive data visualisations of the computational notebook to scaffold multidisciplinary learning, anticipate benefits and harms of the example ML model, and create fictional feature importance plots to highlight care needs. Participants also reported challenges, from running code cells to managing information asymmetries and power imbalances. We discuss the potential of leveraging computational notebooks as interactive co-design tools to meet end user needs early in ML model lifecycles.

Original languageEnglish
Title of host publicationCHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
Number of pages20
ISBN (Electronic)9781450394215
ISBN (Print)978-1-4503-9421-5
DOIs
Publication statusPublished - 19 Apr 2023
EventCHI '23: CHI Conference on Human Factors in Computing Systems - Congress Center Hamburg (CCH), Congresspl. 1, 20355 Hamburg, Hamburg, Germany
Duration: 23 Apr 202328 Apr 2023
https://chi2023.acm.org/

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

ConferenceCHI '23
Abbreviated titleCHI '23
Country/TerritoryGermany
CityHamburg
Period23/04/2328/04/23
Internet address

Bibliographical note

Funding Information:
Many thanks to our research participants, the COTADS team, and CHI reviewers. We acknowledge funding from UK Research and Innovation and UKRI Trustworthy Autonomous Systems Hub (grant code: RITM0372366).

Publisher Copyright:
© 2023 ACM.

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