Prof. Janne Lindqvist
Title: How Busy Are You? Predicting the Interruptibility Intensity of Mobile Users
Abstract: Smartphones frequently notify users about newly available messages or other notifications. It can be very disruptive when these notifications interrupt users while they are busy. Our work here is based on the observation that people usually exhibit different levels of busyness at different contexts. This means that classifying users’ interruptibility as a binary status, interruptible or not interruptible, is not sufficient to accurately measure their availability towards smartphone interruptions. In this paper, we propose, implement and evaluate a two-stage hierarchical model to predict people’s interruptibility intensity. Our work is the first to introduce personality traits into interruptibility prediction model, and we found that personality data improves the prediction significantly. Our model boot- straps the prediction with similar people’s data, and provides a good initial prediction for users whose individual models have not been trained on their own data yet. Overall prediction accuracy of our model can reach 66.1% while the first-stage binary interruptibility prediction accuracy is 75%. (This is a practice talk for CHI’17, and the paper is available here: http://www.winlab.rutgers.edu/~janne/CHI17-predictinginterruptibility.pdf)
Biography: Janne Lindqvist is an assistant professor of electrical and computer engineering and a radiant member of WINLAB at Rutgers University. His work is frequently featured in the popular media with close to thousand mentions so far including several times in IEEE Spectrum, MIT Technology Review, Scientific American, Communications of the ACM, NPR, WHYY Radio, Yahoo! News, International Business Times, and recently also in ABC News Radio, CBS Radio News, Fortune, Computerworld, Der Spiegel, London Times, Slashdot, The Register. Janne has two engineering graduate degrees in computer science and engineering. Most of his academic contributions to science and humanity are in security engineering, while he has heard local colleagues sometimes refer to him as a “sociologist” or “expert in human-computer interaction.” To be fair to his colleagues, Janne indeed directs the Rutgers Human-Computer Interaction group. Janne’s work focuses on hard real-world problems, and currently his group and his colleagues work includes usable and secure authentication, mobile privacy, physical-world crowdsourcing, measuring implicit racism in situ, social protocols for wireless networking, and ecological field studies on non-suicidal self-injurous behavior. He is awards include the Best Paper Award from MobiCom’12, the Best Paper Nominee Award from UbiComp’14, Sustainable Jersey Creation & Innovation Award 2014.