Match!
Judy Kay
University of Sydney
Human–computer interactionComputer scienceMultimediaKnowledge managementUser modeling
339Publications
37H-index
5,688Citations
What is this?
Publications 334
Newest
#1Jisu Jung (USYD: University of Sydney)H-Index: 1
#2Lyndal Wellard-Cole (USYD: University of Sydney)H-Index: 2
Last. Judy Kay (USYD: University of Sydney)H-Index: 37
view all 7 authors...
Source
Apr 21, 2020 in CHI (Human Factors in Computing Systems)
#1Callum Parker (USYD: University of Sydney)H-Index: 6
#2Martin Tomitsch (USYD: University of Sydney)H-Index: 16
Last. Judy Kay (USYD: University of Sydney)H-Index: 37
view all 5 authors...
1 CitationsSource
BACKGROUND: A large quantity of data is collected during the delivery of cancer care. However, once collected, these data are difficult for health professionals to access to support clinical decision making and performance review. There is a need for innovative tools that make clinical data more accessible to support health professionals in these activities. One approach for providing health professionals with access to clinical data is to create the infrastructure and interface for a clinical d...
Source
Apr 21, 2020 in CHI (Human Factors in Computing Systems)
#1Soojeong Yoo (USYD: University of Sydney)H-Index: 6
#2Phillip Gough (USYD: University of Sydney)H-Index: 2
Last. Judy Kay (USYD: University of Sydney)H-Index: 37
view all 3 authors...
Source
#1Jochen Meyer (OFFIS)H-Index: 11
#2Judy Kay (USYD: University of Sydney)H-Index: 37
Last. Lie Ming Tang (USYD: University of Sydney)H-Index: 5
view all 5 authors...
As self-tracking has evolved from a niche movement to a mass-market phenomenon, it has become possible for people to track a broad range of activities and vital parameters over years, even decades. The associated opportunities, as well as the challenges, have had very little research attention so far. With the phenomenon of long-term tracking becoming widespread and important, we have identified its key characteristics by drawing on work from UbiComp, HCI, and health informatics. We identify imp...
Source
#1Ilona Juraskova (USYD: University of Sydney)H-Index: 23
#2Phyllis Butow (USYD: University of Sydney)H-Index: 84
Last. Rachael L. Morton (USYD: University of Sydney)H-Index: 29
view all 16 authors...
As technology has become ubiquitous in learning contexts, there has been an explosion in the amount of learning data. This creates opportunities to draw on the decades of learner modelling research from Artificial Intelligence in Education and more recent research on Personal Informatics. We use these bodies of research to introduce a conceptual model for a Personal User Model for Life‐long, Life‐wide Learners (PUMLs). We use this to define a core set of system competency questions. A successful...
4 CitationsSource
#1Brian Y. Lim (NUS: National University of Singapore)H-Index: 11
#2Judy Kay (USYD: University of Sydney)H-Index: 37
Last. Weilong Liu (NUS: National University of Singapore)
view all 3 authors...
Activity trackers are being deployed in large-scale physical activity intervention programs, but analyzing their data is difficult due to the large data size and complexity. As such large datasets of steps become more available, it is paramount to develop analysis methods to deeply interpret them to understand the variety and changing nature of human steps behavior. In this work, we explored ways to analyze the heterogeneous steps activity data and propose a framework of dimensions and time aggr...
Source
#1Cataldo Musto (University of Bari)H-Index: 18
#2Amon Rapp (UNITO: University of Turin)H-Index: 12
Last. Nava Tintarev (TU Delft: Delft University of Technology)H-Index: 15
view all 9 authors...
It is our great pleasure to welcome you to the UMAP 2019 Workshop on Explainable and Holisitic User Modeling (ExHUM). Our workshop took inspiration from the analysis of the recent Web dynamics: according to a recent claim by IBM, 90% of the data available today have been created in the last two years. Such an exponential growth of personal information has given new life to research in the area of user modelling, since information about users' preferences, sentiment and opinions, as well as signa...
Source
#1Soojeong Yoo (USYD: University of Sydney)H-Index: 6
#2Jisu Jung (USYD: University of Sydney)H-Index: 1
Last. Judy Kay (USYD: University of Sydney)H-Index: 37
view all 5 authors...
A user model that is built from the data of multiple physical activity sensors has the potential to enable people to answer important questions about their long-term physical activity. Our work provides a way to do this for the case of exercise from virtual reality gaming and from incidental daily walking. Our approach is based two parts: 1) a carefully designed a user model ontology, Exer-model; 2) an interface for navigating the model and comparing components of the model. We evaluated the Exe...
Source
12345678910