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.
CITATION STYLE
Knoche, H., Abdul-Rahman, A., Clark, L., Curcin, V., Huo, Z., Iwaya, L. H., … Ziadeh, H. (2023). Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing Care. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3544549.3573798
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