We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
We present an observational study that was conducted to guide the design and development of technologies to support information flow during nurses' shift change in a hospital...
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
Auditory display research for driving has mainly focused on collision warning signals, and recent studies on auditory invehicle information presentation have examined only a limit...
Myounghoon Jeon, Benjamin K. Davison, Michael A. N...
A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Danger, observed across the field of information security, is described. Based on this paradigm a novel approac...