Workshop on Physical Analytics (June 16, 2014)
While huge strides have been made in online analytics to extract a wealth of information from peoples’ online activities, corresponding work in the physical context — which we term as Physical Analytics — is relatively nascent and scattered. The goal of the proposed workshop is to bring together researchers and practitioners to have a conversation on Physical Analytics, with a view to coalescing a research agenda for the community. Our intention is keep the scope broad — spanning devices, algorithms, systems, applications, and policy — yet have the discourse be focused on physical analytics. So, for instance, within the scope of the workshop would be such topics as sensing, localization, wearable devices, cloud computing, data analytics, privacy, and more. However, rather than discussing the advances in these topics in isolation, the goal would be to focus on users, what we can learn about them, the algorithmic and systems issues involved in gleaning useful information, and how the resulting insights can be used for the benefit of users and businesses. Perspectives on how to balance the interests of users with those of businesses, the related economic issues, and what lessons the experience from online analytics holds for physical analytics, would also be welcome. However, much-studied problem areas such as sensor networks for monitoring the physical environment and big-data infrastructure, while certainly important, would not be in scope, unless a clear connection is made to user-centric physical analytics.
The workshop will include invited talks, a panel, and refereed papers, with as much time devoted to discussion as to the presentations themselves.
Topics of interest Back to top
Note: This is not an exhaustive list.
Wearable and mobile devices for physical analytics
Continuous mobile vision and audio sensing
Indoor localization applied to physical analytics
RFID, NFC, cameras, and other infrastructure to support physical analytics
Local and Cloud computing architecture
Crowdsourcing for physical analytics
Algorithms for analyzing and fusing physical signals, including location, video, and audio
Personal data APIs and user privacy
Interplay of physical analytics with online analytics
Physical analytics in retail, healthcare, insurance, etc.
Physical analytics to drive digital personal assistants and other applications
Program Co-Chairs and Committee Back to top
Deborah Estrin (Cornell Tech, USA)
Venkat Padmanabhan (Microsoft Research, India)
Ramón Cáceres (AT&T Research, USA)
Romit Roy Choudhury (University of Illinois at Urbana-Champaign, USA)
Shyamnath Gollakota (University of Washington, USA)
Robert Harle (University of Cambridge, UK)
Fred Jiang (Intel Labs, China)
James Landay (Cornell Tech, USA)
Archan Misra (Singapore Management University, Singapore)
Matthai Philipose (Microsoft Research, USA)
Lili Qiu (University of Texas at Austin, USA)
Jacky Shen (Microsoft Research, China)
Junehwa Song (KAIST, Korea)
Roy Want (Google, USA)
Call for papers Back to top
We seek papers that report on work in progress, present an insightful survey of the state of the art, or lay out a compelling research agenda for the community, on all aspects of Physical Analytics, including devices, algorithms, systems, applications, and policy. The papers will be limited to 6 pages in length in the standard ACM format.
Notification of acceptance: April 16, 2014
Camera-ready deadline: April 27, 2014
Workshop date: June 16, 2014