Pages: pp. 4-5
Abstract—This issue focuses on the notion of large-scale opportunistic sensing. This topic is particularly relevant today, with intense interest across the pervasive computing community as well as a wide range of other disciplines that are beginning to appreciate the power of pervasive sensing as a tool to inform their own research agendas. Also featured are three regular articles and five departments covering recent conferences, initiatives in pervasive education and wearable computing, developments on the Android platform, and innovations in the pervasive computing product space.
Keywords—large-scale opportunistic sensing, mobile computing, pervasive computing, EIC message, editorial board
The fields of mobile and pervasive computing have been closely related for many years. Truly ubiquitous systems need to work well in a wide range of environments—not just when tethered to a desk or wall in a smart room. An area that has been widely explored in both domains is that of systems to support travel. In many ways this is entirely natural—travel makes the need for mobile technologies immediately apparent.
Much of the early work focused simply on making technology work while on the move as researchers tackled issues such as maintaining network connectivity, limited access to remote file stores, and the need to conserve power. As solutions to these problems emerged and the use of laptops and smartphones became commonplace, attention shifted to applications that support travel—mobile tour guides being the canonical example of such an application. These days, a wide range of applications are available for the business and leisure traveler and research has begun to focus on a new set of problems related to improving the efficiency of transport systems—especially with respect to carbon emissions and congestion. New sources of data, such as extensive mobility traces from mobile phone and transport operators, coupled with new ways of delivering travel information through context-aware public displays and mobile devices are opening up a wide range of new opportunities for understanding and influencing travel behaviors.
Readers interested in this topic should note that a future issue of IEEE Pervasive Computing will focus on pervasive computing in the transport domain. We will be publishing the call for papers shortly, and I look forward to an exciting issue in this application domain.
In this issue, guest editors Paul Lukowicz, Tanzeem Choudhury, and Hans Gellersen focus on the notion of large-scale opportunistic sensing. This topic is particularly relevant today, with intense interest across the pervasive computing community as well as a wide range of other disciplines that are beginning to appreciate the power of pervasive sensing as a tool to inform their own research agendas. I'd like to thank the guest editors and all those who submitted their work for helping to create what will likely be a high-impact issue of IEEE Pervasive Computing.
In addition to the theme articles, we have three regular articles this issue.
In "Fine-Grained Cloaking of Sensitive Positions in Location-Sharing Applications," Maria Luisa Damiani, Claudio Silvestri, and Elisa Bertino tackle the challenging problem of protecting users from disclosing sensitive positions to untrusted members of a geosocial network. The continued development of applications such as Google Latitude and Glympse ( www.glympse.com) illustrate the importance of work such as this in creating scientific foundations that will help users manage their privacy concerns in the future.
Thomas Pederson, Lars-Erik Janlert, and Dipak Surie are similarly concerned with laying down scientific foundations to underpin the emerging world of pervasive computing. Their work, described in "A Situative Space Model for Mobile Mixed-Reality Computing," focuses on a model to support the design of pervasive systems with appropriate forms of user interaction—especially when the number of devices in an environment increases significantly.
Finally, in "Facial-Expression Analysis for Predicting Unsafe Driving Behavior," Maria E. Jabon and her colleagues explore the use of pervasive computing technologies in driver-assistance systems.
In keeping with the recent changes we've been making to the magazine to increase the frequency and number of departments, I'm pleased to say that this issue features five excellent departments covering recent conferences, initiatives in pervasive education and wearable computing, developments on the Android platform, and innovations in the pervasive computing product space.
I'm also delighted to announce that Dr. Cecilia Mascolo has joined the editorial board of IEEE Pervasive Computing (see the "New Editorial Board Member" sidebar). Dr. Mascolo brings extensive experience in the area of mobile data gathering and analysis—topics of increasing importance in the pervasive computing field.
Dr. Cecilia Mascolo is a reader in mobile systems in the Computer Laboratory, University of Cambridge, UK. Prior to this, she was with the Department of Computer Science of University College London, UK. She holds an MSc and PhD in computer science from University of Bologna, Italy. Mascolo's research concentrates on mobility data gathering, analysis, modeling, and exploitation through research council and industry funded multidisciplinary projects. Her research strategy is heavily experimental and deployment oriented. She has published extensively in the areas of mobile sensor networks, mobile network routing, realistic mobility models, and social network analysis. Mascolo has served in the organization committees of many mobile and sensor systems, middleware, software engineering, and data mining conferences and workshops. She is on the editorial board of IEEE Internet Computing. More details are available at www.cl.cam.ac.uk/~cm542.