We explore some of the characteristics of multimodal input interaction spaces for notification systems within a multi-tasking environment like a command and control center using two promising interaction methods: gestures and touch based input through a laboratory experiment comparing both techniques. Results of our study suggest that gestures are better suited for multi-tasking situations because they are less interruptive than touch interaction to users' primary tasks and are subjectively preferred by users in certain situations.
In a one-day workshop, we strive to build community in this emerging research area, specifically targeting interfaces that are designed to provide awareness in a peripheral and elegant manner. We focus on improving consensus of basic and fundamental issues and developing a structural framework-critical parameters, design themes, and evaluation procedures-for research on these types of user interfaces.
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.
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