Toward Inclusive and Accessible Self-Tracking
▣ 제목(Title) : Toward Inclusive and Accessible Self-Tracking
▣ 연사(Speaker) : Prof. Eun Kyoung Choe(University of Maryland)
▣ 초청(Host) : Prof. Inseok Hwang
▣ 일시(Date &Time) : 2022.6.30(Thu), 11:00 am ~
▣ 장소 (Venue) : Science Building Ⅱ Room 102 (제2공학관 102호)
▣ 언어(Language) : 한국어 (Korean)
▣ Zoom URL : https://us02web.zoom.us/j/86364860315?pwd=UGRFcWpUTnNhWnYrT0N0Ui9XcE1Ddz09
Zoom ID : 863 6486 0315 Passcode : 106579
My research group envisions new ways of supporting self-tracking that are inclusive of and beneficial to marginalized people with diverse tracking needs. In this talk, I 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. I 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.
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.