Amulet paper at UbiTtention/Ubicomp

Abstract: In this work, we attempt to determine whether the contextual information of a participant can be used to predict whether the participant will respond to a particular EMA trigger. We use a publicly available dataset for our work, and find that by using basic contextual features about the participant’s activity, conversation status, audio, and location, we can predict if an EMA triggered at a particular time will be answered with a precision of 0.647, which is significantly higher than a baseline precision of 0.41. Using this knowledge, the researchers conducting field studies can efficiently schedule EMAs and achieve higher response rates.

Varun Mishra, Byron Lowens, Sarah Lord, Kelly Caine, and David Kotz. Investigating Contextual Cues As Indicators for EMA Delivery. In Proceedings of the International Workshop on Smart & Ambient Notification and Attention Management (UbiTtention), pages 935-940, September 2017. ACM. DOI 10.1145/3123024.3124571.

This entry was posted in Publications and tagged , , , , by David Kotz. Bookmark the permalink.

About David Kotz

David Kotz is the Champion International Professor in the Department of Computer Science at Dartmouth College. He served as Associate Dean of the Faculty for the Sciences for six years and as the Executive Director of the Institute for Security Technology Studies for four years. In 2013 he was appointed to the US Healthcare IT Policy Committee. His research interests include security and privacy, pervasive computing for healthcare, and wireless networks. He has published over 100 refereed journal and conference papers and obtained over $65m in grant funding. He is PI of a $10m grant from the NSF Secure and Trustworthy Cyberspace program and leads a five-university team investigating Trustworthy Health & Wellness technology (see thaw.org). He is an IEEE Fellow, a Senior Member of the ACM, a 2008 Fulbright Fellow to India, and an elected member of Phi Beta Kappa. After receiving his A.B. in Computer Science and Physics from Dartmouth in 1986, he completed his Ph.D in Computer Science from Duke University in 1991 and returned to Dartmouth to join the faculty. For more information see http://www.cs.dartmouth.edu/~dfk/.

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