Event Date and Time
-
Location
LeFrak 2208

Title: Toward Inclusive and Accessible Self-Tracking 

Eun Kyoung Choe is an Associate Professor in the College of Information Studies at the University of Maryland, College Park. Her research bridges the fields of Human-Computer Interaction (HCI), Health Informatics, and Ubiquitous Computing. With an overarching goal of empowering individuals, her research centers on examining major challenges people face in leveraging personal data, such as personal data collection and exploration. More recently, she has been exploring multimodal interaction as a means to collect rich personal data, promote reflection, and help people dive into their data. Her work has been funded by the National Science Foundation, National Institutes of Health, and Microsoft Research. She has been serving on the editorial boards of PACM IMWUT and Foundations and Trends in Human-Computer Interaction. She received her Ph.D. in Information Science from University of Washington, M.S. from University of California, Berkeley, and B.S. from KAIST.

Jong Ho Lee is a PhD student in the College of Information Studies at the University of Maryland, College Park. His research is in the field of Human-Computer Interaction, where he is interested in understanding how people use technology, and building accessible tools. He is particularly interested in how self-tracked data can be utilized to make tools more personalized for individuals with disabilities. He is currently working on how tracking activities using multiple modalities can be used to support stroke survivors set personalized therapy goals. He completed his M.S. in Computer Science from the University of California, Irvine, and B.S. in Computer Science and Engineering from Chung-Ang University in South Korea.

Abstract: 

We envision new ways of supporting self-tracking that are inclusive of and beneficial to marginalized people with diverse tracking needs. In this talk, we will present a set of research projects that examined the tracking needs of diverse groups and employed novel approaches to design personal informatics tools. We incorporated multimodal interaction, such as speech and touch, to help people collect rich data with a low burden and to provide people with new experiences interacting with data. We will also discuss promising avenues in personal informatics and personal data contexts where multimodal and personalized tracking approaches can support a broad range of individuals—self-trackers, older adults, stroke survivors, and blind and low-vision people—to achieve their diverse and unique tracking goals.
Dr. Eun Kyoung Choe