Hussain, Muhammad orcid.org/0009-0008-5116-3893, Iacovides, Jo orcid.org/0000-0001-9674-8440, Lawton, Tom et al. (8 more authors) (2024) Development and Translation of Human-AI Interaction Models into Working Prototypes for Clinical Decision-making. In: Vallgarda, Anna, Jonsson, Li, Fritsch, Jonas, Alaoui, Sarah Fdili and Le Dantec, Christopher A., (eds.) Proceedings of the 2024 ACM Designing Interactive Systems Conference, DIS 2024. 2024 ACM Designing Interactive Systems Conference, DIS 2024, 01-05 Jul 2024 Proceedings of the 2024 ACM Designing Interactive Systems Conference, DIS 2024 . Association for Computing Machinery, Inc , DNK , pp. 1607-1619.
Abstract
In the standard interaction model of clinical decision support systems, the system makes a recommendation, and the clinician decides whether to act on it. However, this model can compromise the patient-centeredness of care and the level of clinician involvement. There is scope to develop alternative interaction models, but we need methods for exploring and comparing these to assess how they may impact clinical decision-making. Through collaborating with clinical, AI safety, and HCI experts, and patient representatives, we co-designed a number of alternative human-AI interaction models for clinical decision-making. We then translated these models into ‘Wizard of Oz’ prototypes, where we created clinical scenarios and designed user interfaces with different types of AI output. In this paper, we present alternative models of human-AI interaction and illustrate how we used a co-design approach to translate them into functional prototypes that can be tested with users to explore potential impacts on clinical decision-making.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Keywords: | decision-making,healthcare,Human-AI interaction,prototyping,Wizard-of-OZ |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) The University of York > Faculty of Social Sciences (York) > The York Law School |
Funding Information: | Funder Grant number THE MEDICAL PROTECTION SOCIETY LIMITED (MPS) Shared CAIRE |
Depositing User: | Pure (York) |
Date Deposited: | 24 May 2024 08:10 |
Last Modified: | 09 Dec 2024 00:23 |
Published Version: | https://doi.org/10.1145/3643834.3660697 |
Status: | Published |
Publisher: | Association for Computing Machinery, Inc |
Series Name: | Proceedings of the 2024 ACM Designing Interactive Systems Conference, DIS 2024 |
Identification Number: | 10.1145/3643834.3660697 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212763 |
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