Abstract
We present a mobile instrumentation toolkit, AWARE, an open-source effort to develop an extensible and reusable platform for capturing, inferring, and generating context on mobile devices. Mobile phones are sensor-rich but resource-constrained, and therefore several considerations need to be addressed when creating a research tool that ensures problem-free context collection. We demonstrate how AWARE can mitigate researchers’ effort when building mobile data-logging tools and context-aware applications, with minimal battery impact. By encapsulating implementation details of sensor data retrieval and exposing the sensed context as higher-level abstractions, AWARE shifts the focus from software development to data analysis, both quantitative and qualitative. We have evaluated AWARE in several case studies and discuss its use, power consumption, and scalability.
Highlights
Mobile phones have become miniaturized computers that fit in a pocket
End-users need to use multiple and often isolated applications to make their device more context-aware. We argue that these three important limitations are due to the same reason: there is a lack of open and reusable software for creating context-aware applications on mobile device
The development of context-aware applications still remains challenging because developers have to handle with the raw sensor data, analyze it to produce context, and often are forced to start from scratch
Summary
Mobile phones have become miniaturized computers that fit in a pocket. They are inherently personal and their potential to sense the user’s environment, i.e., context, is appealing to researchers. OpenDataKit (accessible at https: //opendatakit.org, since 2012) simplifies the interface between external sensors and mobile phones by abstracting the application and driver development from user applications and device drivers, by management of discovery, communication channels, and data buffers. The users are presented with the Sensor Manager interface, where they can manage the collected sensor data on the mobile phone They can see currently active sensors, the sensor’s power-consumption estimation (provided by Android’s API), the client’s current version, their AWARE device identifier [a universal unique identifier (UUID) is generated randomly upon every installation] and a toggle for debugging messages from AWARE’s sensing. CORTEX Context Studio ContextPhone AWARENESS Momento MyExperience.sf.net CenceMe EmotionSense.org Empath Funf.org Ginger.io Ohmage.org OpenDataKit.org
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