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SURF-IoT Talk Series – Tracked Data and Women’s Health

August 11, 2020 at 3:00 pm - 4:00 pm

Women are increasingly turning to technology to monitor their everyday health and manage major life events such as menopause and fertility. However, the design of apps and wearables commonly make promises they are unable to keep and assumptions which do not line up with people’s everyday realities. In this talk, we discuss a few years of research on how women’s health tracking apps have often excluded certain types of people and their needs, created or perpetuated feelings of anxiety, and presented unrealistic expectations of control. We will also introduce our ongoing project with SURF-IoT student Marawin Chheang on how people perceive descriptions of AI and algorithms in apps designed to promote fertility.

Daniel Epstein is an Assistant Professor in the Department of Informatics at the University of California, Irvine with a courtesy appointment in the Department of Computer Science. His work examines how personal tracking technology can acknowledge and account for the realities of everyday life, designing new technology and studying people’s use of current technology. He has explored and designed technology for personal tracking around physical activity, diet, migraine, mood, and menstruation.

Yunan Chen is an Associate Professor in the Department of Informatics at the University of California, Irvine. Her research interests lie at the intersection of Human-Computer Interaction (HCI), Computer Supported Cooperative Work (CSCW) and Health Informatics. In particular, she is interested in designing and evaluating interactive systems for clinical documentation, patient-provider interaction, and personal information management for chronic care.

Mayara Costa Figueiredo is an Informatics PhD at the University of California, Irvine, working under the supervision of Dr. Yunan Chen. Her research interests lie at the intersections of human-computer interaction (HCI), computer-supported cooperative work (CSCW), and health informatics. She focuses on the use of patient-generated health data and its consequences. She is currently investigating the challenges and uncertainties women face when self-tracking their fertility for different goals, and the role that current technology, particularly mobile apps, play in this complex and potentially emotionally-loaded context.


August 11, 2020
3:00 pm - 4:00 pm

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