Using context-aware computing to reduce the perceived burden of interruptions from mobile devices

By Joyce Ho, Stephen S. Intille. International Conference on Human Factors in Computing Systems, 2005

421 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

InterruptMe: designing intelligent prompting mechanisms for pervasive applications (2014, methodology): “In addition, unlike Ho and Intille did with body-worn sensors, with smartphone accelerometers we were not able to reliably detect activity boundaries, thus oppor-tune moments for interruption.”
Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework (2015, background): “Integrating research in the area of supportive communication and ubiquitous computing (Ho & Intille, 2005; McIntosh, Seaton, & Jeffrey, 2007; Sarker et al., 2014), we define receptivity as the person’s transient tendency to receive, process, and use the support provided.”
Identifying Opportunities for Valuable Encounters: Toward Context-Aware Social Matching Systems (2015, background): “Social/local context encompasses the interruptee s physical environment as understood in a social sense, such as the place the individual is in, people present within that place, and the nature of social activity in the place [Ho and Intille 2005; Hudson et al. 2003; Marti and Schmandt 2005].”
An in-situ study of mobile phone notifications (2014, background): “For example, Ho and Intille [16] explored deliver ing noti.cations at the transition between physical activities.”