The recent emergence and prevalence of social network applications, sensor equipped mobile devices, and the availability of large amounts of geo-referenced data have enabled the analysis of new context dimensions that involve individual, social, and urban context.
Creating Personal, Social, and Urban Awareness through Pervasive Computing provides an overview of the theories, techniques, and practical applications related to the three dimensions of context awareness. Through the exploration of emerging research trends of pervasive computing, this book is beneficial to professors, students, researchers, and developers interested this latest development in the field of context-awareness and pervasive computing.
The many academic areas covered in this publication include, but are not limited to:
Computer scientists show how the emergence of social networks, the prevalence of sensor-equipped mobile devices, and large amounts of geographically referenced data allow the analysis of such matters as people's mobility patterns, emotional status, and activities. They explore the possibilities in the three levels of awareness. Their topics include opportunistic detection methods for emotion-aware smartphone applications, architecture patterns for context-aware smart environments, community detection and profiling in location-based social networks, news recommendation for China Sina Wiebo microblog service based on user social behaviors, and understanding urban dynamics from taxi GPS traces.