Identifying challenges and opportunities for intelligent data-driven health interfaces to support ongoing care

Knoche, Hendrik, Abdul-Rahman, Alfie, Clark, Leigh, Curcin, Vasa, Huo, Zhiqiang, Iwaya, Leonardo Horn, Lemon, Oliver, Mikulík, Robert, Neate, Timothy, Roper, Abi, Skovfoged, Milo Marsfeldt, Verdezoto Dias, Nervo ORCID: https://orcid.org/0000-0001-5006-4262, Wilson, Stephanie and Ziadeh, Hamzah 2023. Identifying challenges and opportunities for intelligent data-driven health interfaces to support ongoing care. Presented at: CHI EA ’23, Conference on Human Factors in Computing Systems, 23–28 April 2023. Proceeding CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. New York, NY, United States: Association for Computing Machinery, pp. 1-7. 10.1145/3544549.3573798

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Abstract

This workshop will explore future work in the area of intelligent, conversational, data-driven health interfaces both from patients’ and health care professionals’ perspectives. We aim to bring together a diverse set of experts and stakeholders to jointly discuss the opportunities and challenges at the intersection of public health care provisioning, patient and caretaker empowerment, monitoring provisioning of health care and its quality. This will require AI-supported, conversational decision-making interfaces that adhere to ethical and privacy standards and address issues around agency, control, engagement, motivation, and accessibility. The goal of the workshop is to create a community around intelligent data-driven interfaces and create a road map for their future research.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Association for Computing Machinery
ISBN:	978-1-4503-9422-2
Date of First Compliant Deposit:	24 April 2023
Date of Acceptance:	1 December 2022
Last Modified:	28 Apr 2023 14:00
URI:	https://orca.cardiff.ac.uk/id/eprint/159010

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