Article

Thread arcs: an email thread visualization

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INFOVIS'03: Proceedings of the Ninth annual IEEE conference on Information visualization

Pages 211 - 218

Published: 19 October 2003 Publication History

Abstract

This paper describes Thread Arcs, a novel interactive visualization technique designed to help people use threads found in email. Thread Arcs combine the chronology of messages with the branching tree structure of a conversational thread in a mixed-model visualization [Venolia and Neustaedter 2003] that is stable and compact. By quickly scanning and interacting with Thread Arcs, people can see various attributes of conversations and find relevant messages in them easily. We tested this technique against other visualization techniques with users' own email in a functional prototype email client. Thread Arcs proved an excellent match for the types of threads found in users' email and for the qualities users wanted in small-scale visualizations.

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Published In

INFOVIS'03: Proceedings of the Ninth annual IEEE conference on Information visualization

October 2003

249 pages

ISBN:0780381548

Editors:
Tamara Munzner
University of British Columbia, Canada
,
Stephen North
AT&T Research

Publisher

IEEE Computer Society

United States

Publication History

Published: 19 October 2003

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Zhang ACranshaw J(2018)Making Sense of Group Chat through Collaborative Tagging and SummarizationProceedings of the ACM on Human-Computer Interaction10.1145/32744652:CSCW(1-27)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1145/3274465
Burch MKerren AKlein KLi Y(2018)Visual NotifierProceedings of the 11th International Symposium on Visual Information Communication and Interaction10.1145/3231622.3231629(114-115)Online publication date: 13-Aug-2018
https://dl.acm.org/doi/10.1145/3231622.3231629
Fu SZhao JCheng HZhu HMarlow JMandryk RHancock MPerry MCox A(2018)T-CalProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174074(1-13)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3174074
Nagwani NSharaff A(2017)SMS spam filtering and thread identification using bi-level text classification and clustering techniquesJournal of Information Science10.1177/016555151561631043:1(75-87)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1177/0165551515616310
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Sharaff ANagwani N(2016)Email thread identification using latent Dirichlet allocation and non-negative matrix factorization based clustering techniquesJournal of Information Science10.1177/016555151558785442:2(200-212)Online publication date: 1-Apr-2016
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Hoque ECarenini G(2016)Interactive Topic Modeling for Exploring Asynchronous Online ConversationsACM Transactions on Interactive Intelligent Systems10.1145/28541586:1(1-24)Online publication date: 22-Feb-2016
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