Judy Kay, Professor of Computer Science, leads the CHAI: Computer Human Adapted Interaction Research Group and the Human-Centred Technology (HCT) research theme. Her research aims to create new technologies for human computer interaction (HCI). Her personalisation research has created the Personis user modelling framework. This is a unified mechanism for keeping and managing people's long term personal data from diverse sources. This is the foundation for building personalised systems. Personis models are distinctive in that they were designed to be scrutable, because interfaces enable the user to scrutinise their user model and personalisation processes based on it. In learning contexts, she has created interfaces for Open Learner Models that make this personal data available in useful forms for long term learning and self-monitoring.
Her interface research has created the Cruiser Natural User Interaction (NIU) software framework. This provides new ways for people to make use of large interactive tabletops and wall displays. By mining the digital footprints of such interaction, this research is creating new ways for people to learn to collaborate, and to learn and work more collaboratively.
She has extensive publications, in venues such as the conferences, Pervasive, Computer Human Interaction (CHI), User Modeling (UM, AH, UMAP) and journals, such as IEEE Transactions on Knowledge and Data Engineering, International Journal of Artificial Intelligence in Education, User Modeling and User-Adapted Interaction, Personal and Ubiquitous Computing, Communications of the ACM, Computer Science Education. Invited keynote addresses include: UM'94 User Modeling Conference, Boston, USA; IJCAI'95 International Joint Conference on Artificial Intelligence, Montreal, Canada; ICCE'97, International Conference on Computers in Education, Kuching, Malaysia; ITS'2000, Intelligent Tutoring Systems, Montreal, Canada; AH2006 Adaptive Hypermedia and Adaptive Web-Based Systems, Dublin, Ireland; ITS'2008, Intelligent Tutoring Systems, Montreal, Canada; EC-TEL'2010, European Conference on Technology Enhanced Learning, Barcelona, Spain, C5'2012, International Conference on Creating, Connecting and Collaborating through Computing, Playa Vista; ICLS'12, International Conference of the Learning Sciences, Sydney; LASI'13, Learning Analytics Summer Institute, co-organized by the Society for Learning Analytics Research (SoLAR) and Stanford University.
Haywood, J., Aleven, V., Kay, J., Roll, I. (2016). Proceedings of the Third (2016) ACM Conference on Learning @ Scale. New York: ACM.
Rapp, A., Cena, F., Kay, J., Kummerfeld, R., Hopfgartner, F., Plumbaum, T., Larsen, J., Epstein, D., Gouveia, R. (2016). UbiComp '16 Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. New York: ACM.
Biswas, G., Bull, S., Kay, J., Mitrovic, A. (2012). Artificial Intelligence in Education : 15th International Conference, AIED 2011, Auckland, New Zealand, June 28 - July 1, 2011. Lecture notes in artificial intelligence, 6738. Heidelberg, Germany: Springer.
Kay, J., Kleitman, S., Azevedo, R. (2013). Empowering Teachers to Design Learning Resources with Metacognitive Interface Elements. In R Luckin, S Puntambekar, P Goodyear, B Grabowski, J Underwood, N Winters (Eds.), Handbook of Design in Educational Technology, (pp. 124-134). New York: Routledge. [More Information]
Bull, S., Kay, J. (2013). Open Learner Models as Drivers for Metacognitive Processes. In Roger Azevedo, Vincent Aleven (Eds.), International Handbook of Metacognition and Learning Technologies, (pp. 349-365). New York: Springer. [More Information]
Kuflik, T., Kay, J., Kummerfeld, R. (2012). Challenges and Solutions of Ubiquitous User Modeling. In Antonio Kruger, Tsvi Kuflik (Eds.), Ubiquitous Display Environments, (pp. 7-30). Heidelberg: Springer. [More Information]
Seymour, M., Riemer, K., Kay, J. (2018). Actors, Avatars and Agents: Potentials and Implications of Natural Face Technology for the Creation of Realistic Visual Presence [Forthcoming]. Journal of the Association for Information Systems, In Press.
Martinez Maldonado, R., Kay, J., Buckingham-Shum, S., Yacef, K. (2018). Collocated Collaboration Analytics: Principles and Dilemmas for Mining Multimodal Interaction Data [Forthcoming]. Human-Computer Interaction, In Press, 1-50. [More Information]
Wellard, L., Jung, J., Kay, J., Rangan, A., Chapman, K., Watson, W., Hughes, C., Ni Mhurchu, C., Bauman, A., Gemming, L., Yacef, K., Koprinska, I., Allman-Farinelli, M. (2018). Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study. JMIR Research Protocols, 7(1), 1-17. [More Information]
Parker, C., Kay, J., Tomitsch, M. (2018). Device-free: An implicit personalisation approach for public interactive displays. 2018 Australasian Computer Science Week Multiconference (ACSW 2018), Brisbane: Association for Computing Machinery (ACM). [More Information]
Bodily, R., Kay, J., Aleven, V., Jivet, I., Davis, D., Xhakaj, F., Verbert, K. (2018). Open learner models and learning analytics dashboards: A systematic review. 8th International Conference on Learning Analytics and Knowledge (LAK 2018), Sydney: Association for Computing Machinery (ACM). [More Information]
Clayphan, A., Martinez-Maldonado, R., Kay, J. (2017). A student-facing dashboard for supporting sensemaking about the brainstorm process at a multi-surface space. 29th Australian Conference on Human-Computer Interaction (OZCHI 2017), New York: ACM Digital Library. [More Information]
Magazine / Newspaper Articles
Kay, J. (2001). Scrutability for personalised interfaces. ERCIM News.
Clayphan, A., Collins, A., Ackad, C., Kummerfeld, R., Kay, J. (2011). Firestorm: a brainstorming application for collaborative group work at tabletops.
Collins, A., Kay, J. (2010). Escaping hierarchies and desktops: Associative, pervasive file access with user control.
Collins, A., Coche, H., Kuflik, T., Kay, J. (2010). Making the tabletop personal: employing user models to aid information retrieval.
Zaiane, O., Yacef, K., Kay, J. (2007). Finding Top-n Emerging Sequences to Contrast Sequence Sets, Technical Report TR07-03.
Kay, J., Maisonneuve, N., Yacef, K., Reimann, P. (2006). "Wattle Tree: What'll it tell us?", Technical Report 582.
Chesher, D., Kay, J., King, N. (2005). SIMPRAC: A web-based virtual patient to support learning through reflection.
Chesher, D., Kay, J., King, N. (2004), Simprac - A Software Template to Support Reflective Learning through Case-based Management of Chronic Disease.
Professor of Computer Science
Principle of CHAI: Computer Human Adapted Interaction Research Group
Chair of Human-centred technology research theme
T: +61 2 9351 4502
F: +61 2 9351 3838
Judy Kay University Page
Judy Kay Personal Page
Human Centred Technology Priority Research Cluster
CHAI: Computer Human Adapted Interaction Research Group
School of Information Technologies
Faculty of Engineering & Information Technologies