Instant messaging (IM) systems allow users to spontaneously communicate over distance, yet they bear the risk for disruption of the recipient. In order to reduce disruption, novel approaches for detecting and presenting mutual availability are needed. In this paper we show how fine-grained IM availability predictions can be made for nomadic users solely based on sensors installed on a laptop computer. Our approach provides comparable accuracies to previous work, while it eliminates the need for augmenting the offices or the users with further sensors. We performed a user study to collect sensor data. Alongside with labels collected by means of Experience Sampling, the data allow for creating probabilistic models for predicting selective availability. This way, we demonstrate how the required effort involved in proactively managing one's availability selectively towards a variety of recipients can be reduced by automatic adaptation, and give insights in the lessons learned.
Abstract. Multi-touch tabletops provide new means for co-located people to work together on a task by directly manipulating objects and tools on a single display in unison. Despite their benefits they also entail new challenges. One major concern is how to help users avoid conflicting actions. Previous work discusses if social protocols are sufficient to regulate coordination, and if policies are needed to enforce specific behaviours. Our study on different variants of a tabletop game shows that providing visual cues on ownership can help to follow social protocols and therefore reduce the need for policies.
Abstract. TUIOFX is a novel toolkit for developing multi-touch, multi-user applications for interactive tabletops and surfaces. By seamlessly integrating with JavaFX, TUIOFX provides a low entry barrier for developing state-of-theart applications with multi-user, multi-touch capabilities and allows the crossplatform deployment on various interactive tabletop and surface hardware.
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