Proceedings of the Working Conference on Advanced Visual Interfaces 2004
DOI: 10.1145/989863.989938
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A collaborative annotation system for data visualization

Abstract: We present Collaborative Annotations on Visualizations (CAV), a system for annotating visual data in remote and collocated environments. Our system consists of a network framework, and a client application built for tablet PC's. CAV is designed to support the collection and sharing of annotations, through the use of mobile devices connected to visualization servers. We have developed a working system prototype based on tablet PC's that supports digital ink, voice and text annotation, and illustrates our approa… Show more

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Cited by 33 publications
(21 citation statements)
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References 15 publications
(10 reference statements)
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“…In the context of information visualization, interactive visual annotations have been introduced to support synchronous and asynchronous collaboration, often for deixis [14,24]. In these tools annotations sit on a layer separate from the data, not integrated in its processing and representation.…”
Section: Related Workmentioning
confidence: 99%
“…In the context of information visualization, interactive visual annotations have been introduced to support synchronous and asynchronous collaboration, often for deixis [14,24]. In these tools annotations sit on a layer separate from the data, not integrated in its processing and representation.…”
Section: Related Workmentioning
confidence: 99%
“…Cadiz et al researched communication between web editors by implementing the system that can write notes directly to web pages and making an long term experiment for a few handred participants [4]. Ellis and Groth developed an asynchronous communication system that can attach annotations including texts, images and sounds to the video [5]. We supported distant and asynchronous discussion concerned with musical expression.…”
Section: Asynchronous Collaborationmentioning
confidence: 99%
“…A drawback of this forum is that it does not provide sufficient aids to help users create, associate, organize, and retrieve comments. Ellis and Groth [8] use annotations to share discoveries in their collaborative data visualization environment. Unfortunately, users need to create the annotations manually and find insights of their interests manually.…”
Section: Related Work 21 Insight Managementmentioning
confidence: 99%