This thesis presents a mobile instrumentation middleware, AWARE, aimed at facilitating our
understanding of human behavior. We demonstrate how to use AWARE to build context …

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 …

Various studies have investigated the predictability of different aspects of human behavior
such as mobility patterns, social interactions, and shopping and online behaviors. However …

Context awareness is a research area that aims to utilise contexts to ease a user's tasks and
hence fulfil his needs. Newer and more innovative approaches in different aspects, such as …

Context-aware smartphone applications refer to those that have the ability to discern
information about their working environment and dynamically adapt their behaviors. Often …

Mobile sensing refers to the collection of methods by which researchers derive measures of
human behaviours and contexts from the onboard sensors and logs found in smartphones …

This paper presents MyExperience, a system for capturing both objective and subjective in
situ data on mobile computing activities. MyExperience combines the following two …

Computing devices and applications are now used beyond the desktop, in diverse
environments, and this trend toward ubiquitous computing is accelerating. One challenge …

The rich context provided by smartphones has enabled many new context-aware
applications. However, these applications still need to provide their own mechanisms to …

Passive mobile sensing for the purpose of human state modeling is a fast-growing area. It
has been applied to solve a wide range of behavior-related problems, including physical …