Providing presence cues to telephone users
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Self-adaptive multimodal-interruption interfaces
Proceedings of the 8th international conference on Intelligent user interfaces
Communications of the ACM
BusyBody: creating and fielding personalized models of the cost of interruption
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Lilsys: Sensing Unavailability
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Presence versus availability: the design and evaluation of a context-aware communication client
International Journal of Human-Computer Studies
Predicting human interruptibility with sensors
ACM Transactions on Computer-Human Interaction (TOCHI)
The tangible user interface and its evolution
Communications of the ACM - Organic user interfaces
Organic interaction technologies: from stone to skin
Communications of the ACM - Organic user interfaces
Organic user interfaces: designing computers in any way, shape, or form
Communications of the ACM - Organic user interfaces
The scope and importance of human interruption in human-computer interaction design
Human-Computer Interaction
Reminders, alerts and pop-ups: the cost of computer-initiated interruptions
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
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Evolving generations of user interfaces are inadvertently seeking for revolution in the way people interact with computers and computer-based systems. We witness the birth of a potpourri of shape-shifting, translucent user interface forms or wearable gadgetry that is not likely to be adopted any time soon. Instead of proposing a next generation of the user interface, we argue that new means of interfacing should be sought for usability problems of marginal size, but immense impact to work and living. In this paper we propose an approach that addresses subtle usability issues of software applications and systems with regard to social interactions. Our approach introduces a context-aware platform that uses lighting effects programmed specifically for each state of context. We exercise the use of this platform in several important social interaction situations, such as to prevent interruptions or attract attention.