Tutt-etal2007

From emcawiki
Revision as of 10:05, 2 March 2019 by PaultenHave (talk | contribs) (Created page with "{{BibEntry |BibType=ARTICLE |Author(s)=Dylan Tutt; Jon Hindmarsh; Muneeb Shaukat; Mike Fraser; |Title=The distributed work of local action: Interaction amongst virtually collo...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search
Tutt-etal2007
BibType ARTICLE
Key Tutt-etal2007
Author(s) Dylan Tutt, Jon Hindmarsh, Muneeb Shaukat, Mike Fraser
Title The distributed work of local action: Interaction amongst virtually collocated research teams
Editor(s) Bannon L.J., Wagner I., Gutwin C., Harper R.H.R., Schmidt K
Tag(s) EMCA, Local Action, Video Data, Remote Site, Time Code, Video Playback
Publisher Springer
Year 2007
Language English
City London
Month
Journal
Volume
Number
Pages 199-218
URL Link
DOI https://doi.org/10.1007/978-1-84800-031-5_11
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title Proceedings of the European Conference on Computer-Supported Cooperative Work 2007
Chapter

Download BibTex

Abstract

Existing research on synchronous remote working in CSCW has highlighted the troubles that can arise because actions at one site are (partially) unavailable to remote colleagues. Such ‘local action’ is routinely characterised as a nuisance, a distraction, subordinate and the like. This paper explores interconnections between ‘local action’ and ‘distributed work’ in the case of a research team virtually collocated through ‘MiMeG’. MiMeG is an e-Social Science tool that facilitates ‘distributed data sessions’ in which social scientists are able to remotely collaborate on the real-time analysis of video data. The data are visible and controllable in a shared workspace and participants are additionally connected via audio conferencing. The findings reveal that whilst the (partial) unavailability of local action is at times problematic, it is also used as a resource for coordinating work. The paper considers how local action is interactionally managed in distributed data sessions and concludes by outlining implications of the analysis for the design and study of technologies to support group-to-group collaboration.

Notes