CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Media spaces: bringing people together in a video, audio, and computing environment
Communications of the ACM
Tivoli: an electronic whiteboard for informal workgroup meetings
CHI '93 Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems
AROMA: abstract representation of presence supporting mutual awareness
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
History-rich tools for social navigation
CHI 98 Cconference Summary on Human Factors in Computing Systems
The notification collage: posting information to public and personal displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Diffusing information in organizational settings: learning from experience
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Semi-public displays for small, co-located groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Digital graffiti: public annotation of multimedia content
CHI '04 Extended Abstracts on Human Factors in Computing Systems
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CHI '04 Extended Abstracts on Human Factors in Computing Systems
Sharing multimedia content with interactive public displays: a case study
DIS '04 Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques
The individual and the group in console gaming
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Proceedings of the 21st ACM international conference on Multimedia
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In this paper, we describe the YeTi information sharing system that has been designed to foster community building through informal digital content sharing. The YeTi system is a general information parsing, hosting and distribution infrastructure, with interfaces designed for individual and public content reading. In this paper we describe the YeTi public display interface, with a particular focus on tools we have designed to provide lightweight awareness of others' interactions with posted content. Our tools augment content with metadata that reflect people's reading of content - captured video clips of who's reading and interacting with content, tools to allow people to leave explicit freehand annotations about content, and a visualization of the content access history to show when content is interacted with. Results from an initial evaluation are presented and discussed.