Background
Recent developments within Ambient Intelligence (AmI) provide new possibilities to contribute to personal care. For example, our car may monitor us and warn us when we are falling asleep while driving or take measures when we are too drunk to drive. As another example, an elderly person may wear a device that monitors his or her wellbeing and offers support when a dangerous situation is noticed. Such applications can be realised partly because of advances in acquiring sensor information about humans and their functioning. However, their full realisation depends crucially on the availability of adequate knowledge for analysis of such information about human functioning. If such knowledge about human functioning is computationally available within devices in the environment, these systems can show more human-like understanding and contribute to personal care based on this understanding [1].
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Treur, J.: On Human Aspects in Ambient Intelligence. In: Mühlhäuser, M., Ferscha, A., Aitenbichler, E. (eds.) AMI 2007 Workshops. CCIS, vol. 11, pp. 262–267. Springer (2008)
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Augusto, J.C., Bosse, T., Castelfranchi, C., Cook, D., Neerincx, M., Sadri, F. (2012). Sixth International Workshop on Human Aspects in Ambient Intelligence (HAI 2012). In: Paternò, F., de Ruyter, B., Markopoulos, P., Santoro, C., van Loenen, E., Luyten, K. (eds) Ambient Intelligence. AmI 2012. Lecture Notes in Computer Science, vol 7683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34898-3_43
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DOI: https://doi.org/10.1007/978-3-642-34898-3_43
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