Remote collaboration over video data: Towards real-time e-Social science

Mike Fraser, Jon Hindmarsh, Katie Best, Christian Heath, Greg Biegel, Chris Greenhalgh, Stuart Reeves

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

The design of distributed systems to support collaboration among groups of scientists raises new networking challenges that grid middleware developers are addressing. This field of development work, 'e-Science', is increasingly recognising the critical need of understanding the ordinary day-to-day work of doing research to inform design. We have investigated one particular area of collaborative social scientific work - the analysis of video data. Based on interviews and observational studies, we discuss current practices of social scientific work with digital video in three areas: Preparation for collaboration; Control of data and application; and Annotation configurations and techniques. For each, we describe how these requirements feature in our design of a distributed video analysis system as part of the MiMeG project: our security policy and distribution; the design of the control system; and providing freeform annotation over data. Finally, we review our design in light of initial use of the software between project partners; and discuss how we might transform the spatial configuration of the system to support annotation behaviour.

Original languageEnglish
Pages (from-to)257-279
Number of pages23
JournalComputer Supported Cooperative Work
Volume15
Issue number4
DOIs
Publication statusPublished - 1 Aug 2006

Keywords

  • e-social science
  • Groupware
  • Synchronous collaboration
  • Video analysis

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Fraser, M., Hindmarsh, J., Best, K., Heath, C., Biegel, G., Greenhalgh, C., & Reeves, S. (2006). Remote collaboration over video data: Towards real-time e-Social science. Computer Supported Cooperative Work, 15(4), 257-279. https://doi.org/10.1007/s10606-006-9027-y