Re-place-ing space: the roles of place and space in collaborative systems
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
Techniques for addressing fundamental privacy and disruption tradeoffs in awareness support systems
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
PRoP: personal roving presence
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Social translucence: an approach to designing systems that support social processes
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Social translucence: designing social infrastructures that make collective activity visible
Communications of the ACM - Supporting community and building social capital
Designing visualizations of social activity: six claims
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Papier-Mache: toolkit support for tangible input
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human-Computer Interaction
Image segmentation in video sequences: a probabilistic approach
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enlightening a co-located community with a semi-public notification system
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
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We present All Together Now (ATN), a tool for visualizing localized activities involving both local and remote actors. ATN presents each user with a webpage containing a common view of a shared virtual space modeled after the physical locus of the activity. Actors signal socially meaningful behavior by manipulating the spatial positions of their representations in this space. Local actors' positions are acquired automatically using computer vision. Remote actors indicate their positions with a mouse. Actors are not expressly identified. ATN exploits people's culturally established notions of spatial position to help them convey contextually relevant social cues to each other. Conveying just enough spatial and identity information helps optimize-without needlessly eliminating-the awareness asymmetries intrinsic to localized distance work