Abstract
Perceived privacy, i.e., how end-users perceive that the system affects their privacy, is one of the key aspects for the acceptance by users of ambient intelligent systems and one of the most complex to handle. Exploratory, field and conceptual design studies were conducted to generate user requirements as input and constraints for the development of mechanisms for the enforcement of privacy preferences. Based on these field studies, a model was created and a prototype was implemented in which the context, the content, and the presence of people was discovered, and shared under various privacy-sensitive conditions.
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Janse, M., Vink, P., LeeChin, Y., Mahmud, A.A. (2008). Amigo Approach Towards Perceived Privacy. In: Mühlhäuser, M., Ferscha, A., Aitenbichler, E. (eds) Constructing Ambient Intelligence. AmI 2007. Communications in Computer and Information Science, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85379-4_46
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DOI: https://doi.org/10.1007/978-3-540-85379-4_46
Publisher Name: Springer, Berlin, Heidelberg
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