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DRS - D igital R eplay S ystem University of Nottingham Research Node ‘DReSS’ www.ncess.ac.uk/research/digital_records Andy Crabtree axc@cs.nott.ac.uk Paul Tennent pxt@cs.nott.ac.uk University of Surrey, June 9, 2009. The DReSS Research Node. Who are we and what do we do?.
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DRS - Digital Replay SystemUniversity of Nottingham Research Node ‘DReSS’www.ncess.ac.uk/research/digital_recordsAndy Crabtreeaxc@cs.nott.ac.ukPaul Tennentpxt@cs.nott.ac.ukUniversity of Surrey, June 9, 2009
The DReSS Research Node • Who are we and what do we do? • Node of the ESRC’s National Centre for e-Social Science • 6 year programme of research; now in year 3 • Aim to develop new computational tools for social science research • Result is DRS (a work in progress) • DRS largely supports qualitative research • Next generation Computer Aided Qualitative AnalysiS (CAQDAS) tool
The Digital Replay System • Development of DRS • Through social science ‘driver projects’ • Ethnographic studies of technology in use (pervasive gaming) • Corpus linguistics (multi-modal character of talk) • Psychological studies of learning (e-Learning in the wild) • Through external users, including • Social science research programmes (methods) • Art and design research (ubicomp sensors)
Use of DRS • The common thread • Analysis of heterogeneous datasets • Including digital data and data that may be digitally enhanced • Digital data • Not just video and audio recordings • Also SMS, GPS, VR, computer vision, sensor data, etc. • Generally any data recorded in ‘system logs’ • Why use system logs? • To enhance analysis (e.g., with computer vision techniques) • Also to ‘get under the hood’ of the digital environments we increasingly inhabit and conduct interaction through • Logs make interaction within digital settings visible
Demonstration of DRS 3 projects + ongoing work • Thrill • Video, audio, transcripts and systems logs • Virile • Coding • Day of the Figurines • System logs in more detail • Current work • Graphing and capture toolkits