Original Article

Information Visualization (2006) 5, 250–259. doi:10.1057/palgrave.ivs.9500139

Understanding the dynamics of collaborative multi-party discourse

Andrew J Cowell1, Michelle L Gregory1, Joe Bruce1, Jereme Haack1, Doug Love1, Stuart Rose1 and Adrienne H Andrew1

1Pacific Northwest National Laboratory, Richland, WA, U.S.A.

Correspondence: Andrew J Cowell, Pacific Northwest National Laboratory, P.O. Box 999, MS K7-28, Richland, WA 99352, U.S.A. Tel: +1 509 375 4548; Fax: +1 509 375 3641; E-mail: andrew@pnl.gov

Received 12 January 2004; Revised 12 July 2006; Accepted 14 September 2006.

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Abstract

In this paper, we discuss the efforts underway at the Pacific Northwest National Laboratory in understanding the dynamics of multi-party discourse across a number of communication modalities, such as email, instant messaging traffic and meeting data. Two prototype systems are discussed. The Conversation Analysis Tool (ChAT) is an experimental test-bed for the development of computational linguistic components and enables users to easily identify topics or persons of interest within multi-party conversations, including who talked to whom, when, the entities that were discussed, etc. The Retrospective Analysis of Communication Events (RACE) prototype, leveraging many of the ChAT components, is an application built specifically for knowledge workers and focuses on merging different types of communication data so that the underlying message can be discovered in an efficient, timely fashion.

Keywords:

Anthroposemiotics, discourse analysis, sentiment analysis, group dynamics, conversation topic segmentation

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Interactive Visualization and Data Analysis, Masters program at Danube University Krems, Austria