Abstract
This paper aims to set a landscape and elaborate a roadmap for accessible user interaction in AmI environments, including and beyond personal computational devices (PCs, mobiles, etc.), by identifying and addressing the new needs that emerge in the above context. This line of work is currently being pursued in the context of the AmI Research Programme of ICS-FORTH, and will be implemented in the new AmI Research Facility, which provides an ideal environment for developing the proposed solutions and a test-bed for validating them in a realistic simulation environment.
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CITATION STYLE
Margetis, G., Antona, M., Ntoa, S., & Stephanidis, C. (2012). Towards accessibility in ambient intelligence environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7683 LNCS, pp. 328–337). Springer Verlag. https://doi.org/10.1007/978-3-642-34898-3_24
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