Fusing mobile, sensor, and social data to fully enable context-aware computing

  • Authors:
  • Aaron Beach;Mike Gartrell;Xinyu Xing;Richard Han;Qin Lv;Shivakant Mishra;Karim Seada

  • Affiliations:
  • University of Colorado at Boulder;University of Colorado at Boulder;University of Colorado at Boulder;University of Colorado at Boulder;University of Colorado at Boulder;University of Colorado at Boulder;Nokia Research Center Palo Alto

  • Venue:
  • Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we identify mobile social networks as an important new direction of research in mobile computing, and show how an expanded definition of mobile social networks that includes sensor networks can enable exciting new context-aware applications, such as context-aware video screens, music jukeboxes, and mobile health applications. We offer SocialFusion as a system capable of systematically integrating such diverse mobile, social, and sensing input streams and effectuating the appropriate context-aware output action. We explain some of the major challenges that SocialFusion must overcome. We describe some preliminary results that we have obtained in implementing the SocialFusion vision.