Events: Calendar

SURF-IoT Seminar: Engaging with health data in the context of fertility self-tracking

Title: SURF-IoT Seminar: Engaging with health data in the context of fertility self-tracking
Event Date: 8/22/2019 - 8/22/2019
Event Time: Noon
Event End: 1:30 p.m.

CALIT2, Room 3008


Patient-generated health data (PGHD) can be broadly defined as health data collected and used by patients outside of clinical settings. With the recent popularity of self-tracking, individuals are increasingly using and interacting with PGHD. It is important to understand the consequences of PGHD, both positive and negative, to support the development of self-tracking technologies. In this talk, we describe practices and consequences of self-tracking for a health condition that is complex, impacted by different social factors, and inherently tracking intensive: fertility. First, we discuss how women try to overcome the complexity of fertility by turning self-tracking into a collaborative sensemaking activity. Then I describe the interplay of self-tracking activities and the emotional experience of engaging with PGHD in this context. Finally, we present initial findings on the evaluation of current available fertility apps and the how they support different user goals. These studies highlight the need to understand the impact of technology on individuals with varied goals and call for technologies that will reinforce positive experiences and avoid negative emotional burden.


Mayara Costa Figueiredo is a PhD candidate of the Informatics program 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. Her work focuses on how healthcare providers and patients interact with technologies in their job