An Implicit Smart Interaction Orienting to the Context Semantics of Mobile Device
Ling Zou, Jing Li · Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence · 2018
Nowadays mobile handsets are used more and more widely in every aspect of our life. Mobile phones and PDAs have more powerful computing capacity with high performance of sensors such as GPS, Bluetooth, accelerometer, etc. These characteristics can make mobile devices sense the surrounding and gather data unobtrusively satisfying the need of pervasive computing with explicit interaction. We use standard bluetooth-enabled mobile telephones and GPS as wearable sensors to build an implicit interaction platform Micro-Diary based on context semantics information. This kind of application in interaction can improve the intelligence of interaction as well as analyze the patterns of user during interaction. Our experiments show that the extraction of semantic meaning of context is useful and efficient in human-computer explicit interaction.