[Abstract]

Health monitoring technologies—such as mobile apps, wearables, and recent AI-powered chatbots—are increasingly embedded in clinical and public health systems. While these tools have gained popularity for supporting individual health management, they also hold potential to facilitate collaboration in clinical care and public health interventions. However, in practice, such technologies often fall short when their design fails to align with the complex human infrastructures that shape real-world healthcare delivery. In this talk, I will review findings from my PhD research demonstrating that health monitoring technology designed with infrastructural complexity in mind can improve collaboration in clinical care and public health interventions. This talk will conclude by discussing how health monitoring technology can more effectively support collaboration, particularly through incorporating flexibility to balance stakeholder constraints and amplifying existing stakeholder practices. 

 

[Biography]

Eunkyung Jo is an Assistant Professor in the Department of Computer Science and Engineering and the Graduate School of Artificial Intelligence at POSTECH. She completed her PhD in Informatics at the University of California, Irvine. As a Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW) researcher, she has published 13 full papers—9 as first author—at top-tier HCI and Health Informatics venues, including CHI, CSCW, JMIR, and PervasiveHealth. Her work has been recognized with a Best Paper Award at CHI (2023), the Gold Medal in the Student Research Competition at ASSETS (2017), and the Google PhD fellowship in Human-Computer Interaction (2023-2025).