In recent years group members have been awarded millions of dollars in ARC Discovery and Linkage Grants and significant investment through industry sponsored research.
Click any individual project to learn more. View active, proposed and completed projects.
Visualisation of large, complex networks through small, beautiful diagrams
Networks are everywhere—Google's Knowledge Graph, Facebook's social networks and the Semantic Web. We will develop a new approach to visualise and understand these networks.
Funding: ARC Discovery Project — DP140100077
Flexible user-guided network layout for biomedical applications
This project will develop techniques for automatic layout of biological network diagrams, allowing users to guide the layout while satisfying any required placement constraints and drawing conventions. As part of the project, these methods will be integrated into several real-world systems biology applications for network browsing and authoring.
Funding: ARC Discovery Project — DP110101390
CIDER: A component-based toolkit for creating smart diagram environments
Smart Diagram Environments (SDEs) are software applications that use structured diagrams to provide a natural visual interface that behaves as if the computer "understands" the diagram. Unfortunately, despite their potential usefulness, SDEs are not easy to build. We present CIDER a Java toolkit for building SDEs which greatly simplifies this task. CIDER is a generic component-based system which is designed to be easily embedded in Java applications. It provides automatic interpretation of diagrams as they are constructed and manipulated, structure preserving manipulation, and a powerful transformation system for specifying diagram manipulations and user interaction. CIDER's main innovation is its component-based approach to SDE development which provides substantially increased architectural flexibility to the application programmer.
Presenting graphics to blind students using a touchscreen interface extended with haptic and audio feedback
The project will develop a new approach to the presentation of graphics and other 2D information to blind students. It will be based on the Apple iPad extended with audio and haptic feedback. Currently, the standard approach to providing students with accessible graphics is to use tactile graphics which the student can feel. However production of such graphics is expensive and time consuming. Furthermore, it does not allow the student to interactively control the level of detail or to modify or annotate the graphic. Our new approach has the potential to overcome these limitations and to significantly improve the delivery of accessible graphics. The project includes extensive evaluation of the approach in the classroom.
Funding: ARC Linkage Project — LP110200469
Comprehending and using information graphics, mathematical notations other representational forms
Humans use a broad range of representational forms including written language, pictures, notations, and diagrams. For decades, cognitive scientists and linguists have studied how humans communicate, reason and learn with them. Our research contributes to this body of knowledge by finding out more about the complex ways in which people, representations and contexts interact. We are interested in questions such as "What representations are most effective for a given task?" and "How can we help people choose good representations?" Our research has real-world relevance by informing the design of effective information displays and interactive systems.