Experiences in the use of a media space
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The active badge location system
ACM Transactions on Information Systems (TOIS)
Media spaces: bringing people together in a video, audio, and computing environment
Communications of the ACM
Supporting distributed groups with a Montage of lightweight interactions
CSCW '94 Proceedings of the 1994 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
A usability study of awareness widgets in a shared workspace groupware system
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
NYNEX portholes: initial user reactions and redesign implications
GROUP '97 Proceedings of the international ACM SIGGROUP conference on Supporting group work: the integration challenge
ambientROOM: integrating ambient media with architectural space
CHI 98 Cconference Summary on Human Factors in Computing Systems
Evaluating image filtering based techniques in media space applications
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Judging People's Availability for Interaction from Video Snapshots
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
Biometrics Driven Smart Environments: Abstract Framework and Evaluation
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
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Awareness support system are based on formal and specific context information such as location, or on video-mediated general context information such asa view into a remote office. We propose a new approach based on fusion of these different kinds of context information. In this approach we distinguish white box context, used by the awareness system for reasoning, and black box context, which can only be interpreted by humans. Our approach uses a variety of perception techniques to obtain white box context from audio and video streams. White box context is then used for further processing of context information, for instance to derive additional context. It is further used to generate a storyboard-like multimedia representation of collected and extracted context information. This storyboard provides a condensed view of recent activity to collaboration partners.