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Learn about the DReSS Research Node, its development of the Digital Replay System, and its applications in diverse fields like ethnographic studies and psychological research. Discover how the system logs different data to enhance analysis and insight into digital environments.
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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