Collocated with SenSys, Zurich, Switzerland - November 2, 2010

App phones are enabling the delivery of personalized sensing
applications across a wide variety of users and to very large geo
distributions. A number of recent developments give momentum to this
new field of research, including: the proliferation of embedded
sensors in open programmable smartphones; the ease at which
researchers and developers can distribute new applications using
vendor specific "app store" delivery channels (e.g., Apple AppStore,
Android Market, Microsoft Mobile Marketpace, Nokia Ovi); and, finally,
the emergence of the mobile computing cloud. The combination of three
drivers is creating new opportunities in mobile phone sensing not seen
before. Emerging applications on apps phones and cloud can sense,
mine, and learn human behaviors and intentions to provide personalized
feedback and persuasion. Example application domains include mobile
advertisement, social networking, healthcare, entertainment,
education, safety and business.

PhoneSense promotes exchanges among academic and industrial
researchers in related areas, such as sensing, mobile computing, data
management, data mining, machine learning, inference, incentive
modeling, persuasion feedback, user experience with app delivery
channels for large-scale deployment, and privacy. The foci are on
position papers, novel ideas, and in-progress work on system
architecture, enabling technologies, and emerging applications.

The topics of interest include, but are not limited to:

-Applications
-Sensing and machine learning techniques
-Experience with app store delivery systems and large scale deployment
-Mobile cloud and sensing Interface and interaction between phones and humans
-Mining big sensor data
-Persuasion models and techniques to close the loop with users
-Privacy and sensor data
-Participatory and opportunistic sensing paradigms
-Activity recognition and subjective sensing
-Programming models
-Experiment and campaign design

Submissions should be up to 5 pages, in double column ACM proceeding
format. Submitted papers will be reviewed by the program committee for
novelty, relevance, and quality.

Technical Program Committee

Andrew Campbell (Dartmouth College), Co-Chair
Jie Liu (Microsoft Research), Co-Chair

Tarek F. Abdelzaher (UIUC)
Frank Bentley (Motorola)
Gaetano Borriello (University of Washington)
Romit Roy Choudhury (Duke)
Tanzeem Choudhury (Dartmouth College)
Sunny Consolvo (Intel Research)
Deepak Ganesan (UMass Amherst)
Bhaskar Krishnamachari (USC)
Dimitrios Lymberopoulos (Microsoft Research)
Mani B. Srivastava (UCLA)

Webmaster++: Nicholas Lane, (Dartmouth College)