Effective sounds in complex systems: the ARKOLA simulation
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Nomadic radio: scaleable and contextual notification for wearable audio messaging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Speech interfaces from an evolutionary perspective
Communications of the ACM
Semi-public displays for small, co-located groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing social presence of social actors in human computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A model for notification systems evaluation—assessing user goals for multitasking activity
ACM Transactions on Computer-Human Interaction (TOCHI)
Peripheral awareness and smooth notification: the use of natural sounds in process control work
Proceedings of the third Nordic conference on Human-computer interaction
"Are you watching this film or what?": interruption and the juggling of cohorts
Proceedings of the 2008 ACM conference on Computer supported cooperative work
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Our research investigates notification qualities of different types of voices, moving toward interfaces that support optimal allocation of attention to maximize system utility. We conducted an experiment to determine the interruption, reaction, and comprehension values of three different voice categories: the user's voice, a familiar voice, and an unfamiliar voice. Initial testing showed significant and impactful results: unfamiliar voices are the least interruptive, and a user reacts most quickly to one's own voice. Motivated by these findings, we report on the development and deployment of a notification system that exploits the differences in familiarity of a voice.