Please use this identifier to cite or link to this item: https://dl.eusset.eu/handle/20.500.12015/3696
Title: Remote Collaboration Over Video Data: Towards Real-Time e-Social Science
Authors: Fraser, Mike
Hindmarsh, Jon
Best, Katie
Heath, Christian
Biegel, Greg
Greenhalgh, Chris
Reeves, Stuart
Keywords: e-social science;groupware;synchronous collaboration;video analysis
Issue Date: 2006
Publisher: Springer
metadata.dc.relation.ispartof: Computer Supported Cooperative Work (CSCW): Vol. 15, No. 4
metadata.mci.reference.pages: 257-279
Series/Report no.: Computer Supported Cooperative Work (CSCW)
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.
metadata.dc.identifier.doi: 10.1007/s10606-006-9027-y
URI: http://dx.doi.org/10.1007/s10606-006-9027-y
https://dl.eusset.eu/handle/20.500.12015/3696
ISSN: 1573-7551
Appears in Collections:JCSCW Vol. 15 (2006)

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