The Lived Informatics Model

The data we collect about ourselves can tell us a lot—but only if the technology collecting it actually fits into our lives. Daniel Epstein explores personal informatics, from fitness trackers and food journals to baby tracking and AI, and explains why abandoning a tracking tool doesn’t necessarily mean it failed.

Guest

Daniel Epstein: Daniel Epstein is an Associate Professor in the Department of Informatics at the UC Irvine, with a courtesy appointment in Computer Science. His work in Human-Computer Interaction (HCI) examines how personal tracking technology can acknowledge and account for the realities of everyday life. Daniel has published over 50 papers in top HCI venues including CHI, CSCW, and Ubicomp, receiving multiple Best Paper Awards at CHI and a 10-Year Impact Award Honorable Mention from Ubicomp. He received an NSF CAREER award in 2023. He received his Ph.D. in CSE from the University of Washington in 2018.