Mobile applications often adapt their behavior according to user context, however, they are often limited to consider few sources of contextual information, such as user position or language. This article reviews existing work in context-aware systems (CAS), e.g., how to model context, and discusses further development of CAS and its potential applications by looking at available information, methods and technologies. Social Media seems to be an interesting source of personal information when appropriately exploited. In addition, there are many types of general information, ranging from weather and public transport to information of books and museums. These information sources can be combined in previously unexplored ways, enabling the development of smarter mobile services in different domains. Users are, however, reluctant to provide their personal information to applications; therefore, there is a craving for new regulations and systems that allow applications to use such contextual data without compromising the user privacy.
Rivero-Rodriguez, A., Pileggi, P., & Nykänen, O. A. (2016). Mobile context-aware systems: Technologies, resources and applications. International Journal of Interactive Mobile Technologies, 10(2), 25–32. https://doi.org/10.3991/ijim.v10i2.5367