The next wave of mobile applications is at hand. Mobile phones, PDAs, cameras, music players, and gaming gadgets are creating a connected mobile ecosystem where it is possible to implement systems with significant embedded intelligence. Such advances will make it possible to move many functions of the current PC-centric applications to the mobile domain. Since the inherent difficulties that come with mobility—limited UIs, short attention spans, power dependency, intermittent connectivity, to name but a few—are still not going away, new solutions are needed to make mobile computing satisfactory. We are facing the paradox of cramming ever more functions into our ever more portable devices, while seeking to achieve radically better usablility and semi-usable automated intelligence.
|Title of host publication||Handbook of Ambient Intelligence and Smart Environments|
|Editors||Hideyuki Nakashima, Hamid Aghajan, Juan Carlos Augusto|
|Publication status||Published - 2010|
|MoE publication type||D2 Article in professional manuals or guides or professional information systems or text book material|
Huuskonen, P., Mäntyjärvi, J., & Könönen, V. (2010). Collaborative context recognition for mobile devices. In H. Nakashima, H. Aghajan, & J. C. Augusto (Eds.), Handbook of Ambient Intelligence and Smart Environments (pp. 257-280). Springer. https://doi.org/10.1007/978-0-387-93808-0_10