S. S. Intille, L. Bao, E. Munguia Tapia, and J. Rondoni, "Acquiring in situ training data for context-aware ubiquitous computing applications," in Proceedings of CHI 2004 Connect: Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2004, pp. 1-9.


Ubiquitous, context-aware computer systems may ultimately enable computer applications that naturally and usefully respond to a userís everyday activity. Although new algorithms that can automatically detect context from wearable and environmental sensor systems show promise, many of the most flexible and robust systems use probabilistic detection algorithms that require extensive libraries of training data with labeled examples. In this paper, we describe the need for such training data and some challenges we have identified when trying to collect it while testing three context detection systems for ubiquitous computing and mobile applications.


Context-aware, ubiquitous, computing, supervised learning, experience sampling, user interface design


National Science Foundation and House_n Consortium