1st International Workshop on Behavioral Implications of Contextual Analytics (co-located with IEEE PerCom 2017)

March 13 - 17, Kona, Big Island, Hawaii, USA

A combination of multi-modality sensors, powerful processors, and faster memory access have enabled both collection and processing of large amounts of information on mobile phones. The available information is used to infer the current “contextual state” of the individual. While, in recent years, a tremendous amount of progress has been made in the area of detecting a variety of contexts pertaining to an individual, little attention has gone into studying the behavioral implications of this information. For example, how much resource should be allocated for computing the context, and the consequences that has on other processes running on the phone; what is the effect of the computed context on the behavior of apps that subscribe to itwhat is the influence of the context on the behavior of the individual; and, finally, what are the privacy implications of computing and sharing these contexts. In other words, context computation is not an isolated mechanism, but is often followed by a decision process (that involves sharing the context with an app and/or the individual), leading to an action — by virtue of the decision —  thereby, completing a feedback loop, influencing the context generation process itself. 

In this workshop, we aim to focus primarily on the behavioral implications of contexts, rather than on the context generation itself. BICA 2017, will consider original and unpublished research articles that propose bold steps towards addressing the behavioral challenges of sharing the contextual state of an individual. 

Topics of interest include (but are not limited to):

  • context computation from hard and soft sensors on mobile phones
  • context modeling using graphical and ontological models
  • use of machine learning, deep learning techniques for context computation on phones
  • system challenges in computing contexts 
  • privacy and security implications of sharing and computing contexts
  • effect of contexts on app-behavior and indirectly on users
  • modeling the behavioral effects of contexts on individuals