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Article

A collaborative annotation system for data visualization

Authors:

Dennis P. GrothAuthors Info & Claims

AVI '04: Proceedings of the working conference on Advanced visual interfaces

Pages 411 - 414

https://doi.org/10.1145/989863.989938

Published: 25 May 2004 Publication History

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 approach in a variety of application domains, including biology, chemistry, and telemedicine. We have created an XML based open standard that supports access to a variety of client devices by publishing visualizations (data and annotations) as streams of images. CAV's primary goal is to enhance scientific discovery by supporting collaboration in the context of data visualizations.

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Cited By

Rahman MQuadri GSzafir DRosen P(2024)Exploring annotation taxonomy in grouped bar charts: A qualitative classroom studyInformation Visualization10.1177/14738716241270247Online publication date: 6-Sep-2024
https://doi.org/10.1177/14738716241270247
Guo GStasko JEndert A(2024)What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data RelationshipsProceedings of the 2024 International Conference on Advanced Visual Interfaces10.1145/3656650.3656666(1-5)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3656650.3656666
Rahman MQuadri GDoppalapudi BSzafir DRosen P(2024)A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design SpaceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345635931:1(360-370)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456359
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Index Terms

A collaborative annotation system for data visualization
1. Human-centered computing
  1. Collaborative and social computing

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Published In

cover image ACM Conferences

AVI '04: Proceedings of the working conference on Advanced visual interfaces

May 2004

425 pages

ISBN:1581138679

DOI:10.1145/989863

General Chair:
Maria Francesca Costabile
University of Bari, Italy

Copyright © 2004 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Camera di Commercio di Brindisi
Monte dei Paschi di Siena
Comune di Corigliano d'Otranto
SIGMM: ACM Special Interest Group on Multimedia
Università degli Studi di Lecce
Provincia di Lecce
Università degli Studi dell'Aquila
Università degli Studi di Bari
Regione Puglia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 May 2004

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AVI04

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SIGMM

AVI04: International Conference on Advanced Visual Interfaces

May 25 - 28, 2004

Gallipoli, Italy

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Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

Rahman MQuadri GSzafir DRosen P(2024)Exploring annotation taxonomy in grouped bar charts: A qualitative classroom studyInformation Visualization10.1177/14738716241270247Online publication date: 6-Sep-2024
https://doi.org/10.1177/14738716241270247
Guo GStasko JEndert A(2024)What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data RelationshipsProceedings of the 2024 International Conference on Advanced Visual Interfaces10.1145/3656650.3656666(1-5)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3656650.3656666
Rahman MQuadri GDoppalapudi BSzafir DRosen P(2024)A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design SpaceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345635931:1(360-370)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456359
Lin HWen LGeng HLi JWang HLi H(2024)Research on Remote Annotation and Supervision for Mixed Reality2024 3rd Asian Conference on Frontiers of Power and Energy (ACFPE)10.1109/ACFPE63443.2024.10800869(364-368)Online publication date: 25-Oct-2024
https://doi.org/10.1109/ACFPE63443.2024.10800869
Kim YHenry Riche NLee BBrehmer MPahud MHinckley KHullman JLee BLee GScott STory MKim J(2019)Inking Your Insights: Investigating Digital Externalization Behaviors During Data AnalysisProceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces10.1145/3343055.3359714(255-267)Online publication date: 10-Nov-2019
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Klapperstueck MCzauderna TGoncu CGlowacki JDwyer TSchreiber FMarriott K(2018)ContextuWallJournal of Visual Languages and Computing10.1016/j.jvlc.2017.10.00246:C(35-42)Online publication date: 1-Jun-2018
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Billinghurst MCordeil MBezerianos AMargolis T(2018)Collaborative Immersive AnalyticsImmersive Analytics10.1007/978-3-030-01388-2_8(221-257)Online publication date: 16-Oct-2018
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Czauderna THaga JKim JKlapperstück MKlein KKuhlen TOeltze-Jafra SSommer BSchreiber F(2018)Immersive Analytics Applications in Life and Health SciencesImmersive Analytics10.1007/978-3-030-01388-2_10(289-330)Online publication date: 16-Oct-2018
https://doi.org/10.1007/978-3-030-01388-2_10
Siemens RArbuckle ASeatter LEl Khatib REl Hajj T(2017)The Value of Plurality in ‘The Network with a Thousand Entrances’International Journal of Humanities and Arts Computing10.3366/ijhac.2017.019011:2(153-173)Online publication date: Oct-2017
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Klapperstuck MCzauderna TGoncu CGlowacki JDwyer TSchreiber FMarriott K(2016)ContextuWall: Peer Collaboration Using (Large) Displays2016 Big Data Visual Analytics (BDVA)10.1109/BDVA.2016.7787047(1-8)Online publication date: Nov-2016
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