Using Interaction Data to Predict Engagement with Interactive Media
J. Carlton, A. Brown, C. Jay, & J. Keane
In Proceedings of the 29th ACM International Conference on Multimedia (MM’21), 2021 (to appear)
Code + Data | Paper (Preprint)

Machine Learning and Museum Collections: A Data Curation Conundrum.
L. Nöhrer, J. Carlton, & C. Jay
International Conference on Emerging Technologies and the Digital Transformation of Museums and Heritage Sites (RISE IMET), Springer, 2021


Inferring User Engagement from Interaction Data
J. Carlton, A. Brown, C. Jay, & J. Keane
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems


Identifying Latent Indicators of Technical Difficulties from Interaction Data
J. Carlton, J. Woodcock, A. Brown, C. Jay, & J. Keane
ACM KDD 2018 Workshop on Data Science, Journalism, and Media (DSJM 2018)

Using Low-Level Interaction Data to Explore User Behaviour in Interactive-Media Experiences
J. Carlton, A. Brown, J. Keane, & C. Jay
11th International Conference on Methods and Techniques in Behavioral Research: Measuring Behavior 2018


Recruiting from the network: Discovering Twitter users who can help combat Zika Epidemics
P. Missier, C. McClean, J. Carlton, D. Cedrim, L. Silva, A. Garcia, A. Plastino, & A. Romanovsky
17th International Conference on Web Engineering (ICWE 2017)