This paper presents LangAware, a collaborative approach for constructing personalized
context for context-aware applications. The need for personalization arises due to significant …

Notifications are commonly considered a distraction when they arrive during a task, and
consequently, prior research has consistently sought effective ways of deferring their arrival …

One of the biggest privacy concerns of smart home users is enforcing limits on household
members' access to devices and each other's data. While people commonly express …

Background Machine learning models often use passively recorded sensor data streams as
inputs to train machine learning models that predict outcomes captured through ecological …

As smartphone notifications increase, so does the effort required to handle them effectively.
Previous research has proposed various notification management features, but empirical …

Programming instructors often conduct collaborative learning activities, like Peer Instruction,
to foster a deeper understanding in students and enhance their engagement with learning …

As digital photos grow exponentially, people need new approaches to engage with their
photos over time. We describe our study of PhotoClock, a mobile application that leverages …

Smartwatches are used by millions of people for applications in health, finance, and
communication. As the computational power and range of applications supported by these …

In mobile technologies for health and well-being (mHealth), push notifications are a widely
used tool to implement persuasive strategies. However, little research has been carried out …

Recent innovations in roadway construction include work zone intrusion alert (WZIA)
systems that detect traffic hazards (eg, speeding or intruding vehicles) and raise alarms (eg …