Remote Collaboration Over Video Data: Towards Real-Time e-Social Science |
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Authors: | Mike Fraser Jon Hindmarsh Katie Best Christian Heath Greg Biegel Chris Greenhalgh Stuart Reeves |
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Affiliation: | (1) Department of Computer Science, University of Bristol, Merchant Venturers Building, Woodland Rd, Bristol, BS8 1UB, UK;(2) Work, Interaction and Technology Group, Department of Management, King’s College London, Franklin-Wilkins Building, London, SE1 9NH, UK;(3) The Mixed Reality Laboratory & Learning Sciences Research Institute, School of Computer Science & IT, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, UK |
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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. |
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Keywords: | video analysis e-social science groupware synchronous collaboration |
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