Web and Internet Science Research Group
Welcome to the website of the Web and Internet Science (WAIS) group, an interdisciplinary team of people who have dedicated their efforts to better understand the origin, evolution and growth of the World Wide Web and the Internet. WAIS is one of the seven members of the Electronics and Computer Science (ECS) Academic Unit in the Faculty of Physical Sciences and Engineering.
SOCIAM - Social Machines - will research into pioneering methods of supporting purposeful human interaction on the World Wide Web, of the kind exemplified by phenomena such as Wikipedia and Galaxy Zoo. These collaborations are empowering, as communities identify and solve their own problems, harnessing their commitment, local knowledge and embedded skills, without having to rely on remote experts...
Grünerbl, Agnes, Pirkl, Gerald, Weal, Mark, Gobbi, Mary and Lukowicz, Paul (2015) Monitoring and enhancing nurse emergency training with wearable devices. In, Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers , Osaka, Japan, ACM , 1261-1267. (doi:10.1145/2800835.2807941).
West, Peter, Giordano, Richard, Van Kleek, Max and Shadbolt, Nigel (2016) The Quantified patient in the doctor's office: challenges & opportunities. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2016, 1-13. (doi:10.1145/2858036.2858445).
O'Riordan, Tim, Millard, David E. and Schulz, John B. (2016) How deep are they learning? Testing content analysis methods applied to MOOC forums. IEEE Transactions on Learning Technologies, 1-12. (Submitted).