Mobile Computing and Communications Review
GetMobile is the flagship quarterly publication of ACM SIGMOBILE. GetMobile is the premier forum for addressing networks, systems, algorithms, and applications that support the symbiosis of portable computers and wireless networks.
Sample Articles
Molecular Communication: Interconnecting Tiny NanoBio Devices
Nariman Farsad
Recent advances in the fi elds of bioengineering and nanotechnology have resulted in the emergence of tiny devices of sub-millimeter and even micron or less dimensions that can perform sensing and actuation. In many cases, the main challenge in moving these devices out of the laboratory and into the real world is not production cost, as they can be produced cost-eff ectively in large volumes, but rather a communication problem. For many applications, these tiny devices need to communicate and collaborate in swarms, or they need to transmit their measurements to other devices. Inspired by nature, chemical signaling (also known as molecular communication) is an eff ective solution to this problem. Th is article explores some of the recent advancements and challenges in engineering molecular communication systems.
Rethinking Evaluations of MHealth Systems for Behavior Change
Predrag Klasnja, Eric B. Hekler
Much of the recent research in mobile health (mHealth) has focused on the development of apps and wearables for promoting healthy behavior changes, such as losing weight, increasing physical activity, or adhering to a medication regimen. These interactive systems help users make changes in their behavior by, for instance, tracking healthrelated activities and states, providing feedback, helping users set and track goals, and facilitating supportive social interactions. We refer to the features that implement such functionality as the system's "intervention components," as they are designed to actuate psychosocial mechanisms (e.g., modeling, selfefficacy, positive reinforcement, etc.) thought to mediate the behavior change process. As with any other type of behavioral intervention, mHealth systems are only effective for some users and some of the time, but insofar as they do work, they do so mainly through the mechanisms of change that are activated via users' interactions with the system's intervention components.