Abstract
CHIL services are intended to anticipate the needs of their users. An important step toward this is to model and understand human behavior. Human activity can be sensed and recognized (as described in Chapter 11). However, a higher-level representation of human actions and human relationships (social context) is necessary to effectively describe human behavior and detect human needs.
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References
G. D. Abowd and E. D. Mynatt. Charting past, present, and future research in ubiquitous computing. ACM Transactions on Computer-Human Interaction, 7(1):29–58, 2000.
J. F. Allen. Maintaining knowledge about temporal intervals. Communications of the ACM, 26(11):832–843, 1983.
J. F. Allen. Towards a general theory of action and time. Artificial Intelligence, 23(1):123– 154, 1984.
O. Brdiczka. Learning Situation Models for Providing Context-Aware Services. PhD thesis, INP Grenoble, May 2007.
O. Brdiczka, J. Crowley, and P. Reignier. Learning situation models for providing contextaware services. In HCI International, July 2007. (in press).
O. Brdiczka, J. Maisonnasse, and P. Reignier. Automatic detection of interaction groups. In Proceedings of International Conference on Multimodal Interfaces (ICMI), pages 32– 36, Oct. 2005.
K. Cheverst, N. Davies, K. Mitchell, A. Friday, and C. Efstratiou. Developing a contextaware electronic tourist guide: some issues and experiences. In CHI ’00: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 17–24, New York, NY, 2000. ACM Press.
J. Coutaz and G. Rey. Foundations for a theory of contextors. In Proceedings of the 4th International Conference on Computer Aided Design of User Interfaces, 2002.
J. Crowley, O. Brdiczka, and P. Reignier. Learning situation models for understanding activity. In Proceedings of 5th International Conference on Development and Learning, Bloomington, May 2006.
J. L. Crowley, J. Coutaz, G. Rey, and P. Reignier. Perceptual components for context aware computing. In Proceedings of UbiComp, pages 117–134, London, 2002.
J. Cuřín, P. Fleury, J. Kleindienst, and R. Kessl. Meeting state recognition from visual and aural labels. In Proceedings of 4th Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, Brno, Czech Republic, Jun. 2007.
A. K. Dey. Understanding and using context. Personal and Ubiquitous Computing, 5(1):4–7, 2001.
P. Dourish. What we talk about when we talk about context. Personal and Ubiquitous Computing, 8:19–30, 2004.
P. Fleury, J. Cuřŕn, J. Kleindienst, and R. Kessl. On handling conflicting input in contextaware applications. In Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI), Edinburgh, UK, 2005.
S. W. Loke. Representing and reasoning with situations for context-aware pervasive computing: A logic programming perspective. The Knowledge Engineering Review, 19(3):213–233, 2005.
D. Mostefa, N. Moreau, K. Choukri, G. Potamianos, S. M. Chu, A. Tyagi, J. R. Casas, J. Turmo, L. Christoforetti, F. Tobia, A. Pnevmatikakis, V. Mylonakis, F. Talantzis, S. Burger, R. Stiefelhagen, K. Bernardin, and C. Rochet. The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms. In Language Resources and Evaluation. Springer, New York, 2007.
L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257–286, 1989.
R. Stiefelhagen, K. Bernardin, R. Bowers, R. T. Rose, M. Michel, and J. Garofolo. The CLEAR 2007 evaluation. In Multimodal Technologies for Perception of Humans, Proceedings of the International Evaluation Workshops CLEAR 2007 and RT 2007, LNCS 4625, pages 3–34, Baltimore, MD, May 8-11 2007.
I. H. Witten and F. Eibe. Data Mining: Practical Machine Learning Tools with Java Implementations. Morgan Kaufmann, San Francisco, 2000.
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Brdiczka, O., Crowley, J.L., Cuřín, J., Kleindienst, J. (2009). Situation Modeling. In: Waibel, A., Stiefelhagen, R. (eds) Computers in the Human Interaction Loop. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-84882-054-8_12
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