Conference Paper (published)

Supporting Remote Collaboration Through Structured Activity Logging

Details

Citation

Bouamrane M, Luz S, Masoodian M & King D (2005) Supporting Remote Collaboration Through Structured Activity Logging. In: Zhuge H & Fox GC (eds.) Grid and Cooperative Computing - GCC 2005. Lecture Notes in Computer Science (LNCS), 3795. Grid and Cooperative Computing - GCC 2005, Beijing, 30.11.2005-03.12.2005. Berlin: Springer Berlin Heidelberg, pp. 1096-1107. https://doi.org/10.1007/11590354_132

Abstract
This paper describes an integrated architecture for online collaborative multimedia (audio and text) meetings which supports the recording of participants’ audio exchanges, automatic metadata generation and logging of users editing interaction and also information derived from the use of group awareness widgets (gesturing) for post-meeting processing and access. We propose a formal model for timestamping generation and manipulation of textual artefacts. Post-meeting processing of the interaction information highlight the usefulness of such histories in terms of tracking information that would be normally lost in usual collaborative editing settings. The potential applications of such automatic interaction history generation range from group interaction quantitative analysis, cooperation modelling, and multimedia meeting mining.

Keywords
Group and Organization Interfaces; Computer-supported cooperative work; Information Interfaces and Presentation, Multimedia Information Systems, Collaborative Editing, Multimedia Indexing and Retrieval

StatusPublished
Title of seriesLecture Notes in Computer Science (LNCS)
Number in series3795
Publication date30/11/2005
Publication date online30/11/2005
PublisherSpringer Berlin Heidelberg
Place of publicationBerlin
ISSN of series1611-3349
ISBN9783540305101
eISBN9783540322771
ConferenceGrid and Cooperative Computing - GCC 2005
Conference locationBeijing
Dates

People (2)

Professor Matt-Mouley Bouamrane

Professor Matt-Mouley Bouamrane

Professor in Health/Social Informatics, Computing Science

Professor David King

Professor David King

Emeritus Professor, Economics