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Visual Informatics

Under a Artistic Commons license

open access

Abstract

This article reviews ii decades of research in topics in Information Visualisation emerging from the Data Visualisation and Immersive Analytics Lab at Monash University Australia (Monash IA Lab). The lab has been influential with contributions in algorithms, interaction techniques and experimental results in Network Visualisation, Interactive Optimisation and Geographic and Cartographic visualisation. Information technology has also been a leader in the emerging topic of Immersive Analytics, which explores natural interactions and immersive brandish technologies in support of information analytics. We reflect on advances in these areas but also sketch our vision for future inquiry and developments in data visualisation more than broadly.

Keywords

Immersive Analytics

Data Visualisation

Network visualisation

Cartographic visualisation

Interactive optimisation

Tim Dwyer is Professor of Immersive Analytics and Information Visualisation at Monash University. He completed his Ph.D. on "2 and a One-half Dimensional Visualisation of Relational Networks" from the University of Sydney in 2005; was a Enquiry Young man at Monash Academy from 2005; then a Researcher and Software Engineer with Microsoft from 2008. He returned to Monash Academy in 2012 where he now directs Monash IA Lab.

Maxime Cordeil is a Lecturer in Computer science at Monash University. His research focuses on Immersive Analytics, Information Visualisation, Virtual and Augmented Reality and Human–computer Interaction. Maxime received his Ph.D. from Higher French Institute of Aeronautics and Infinite (ISAE) and Université of Toulouse (France).

Tobias Czauderna is a Research Boyfriend in the Kinesthesia of Information Engineering science at Monash Academy. He received his Ph.D. caste in computer science from Martin Luther University Halle-Wittenberg (Federal republic of germany) in 2015. His inquiry interests include visualisation, visual analytics, human–computer interaction, interactive optimisation, and network layout.

Pari Delir Haghighi is a Senior Lecturer at Kinesthesia of Information technology, Monash University. She received her Ph.D. in Calculating from Monash University in 2010. Her electric current research interests include mobile and context-aware computing, Internet of Things (IoT) systems, mobile healthcare, and social media content analysis.

Barrett Ens is a Lecturer in Immersive Analytics at Monash University. During his Ph.D. at the University of Manitoba (Canada), he completed two internships with the Human Estimator Interaction and Visualisation Research Group at Autodesk Research (Toronto). His electric current interests include augmented reality interface blueprint, spatial interaction, and situated data visualisation.

Sarah Goodwin is an Lecturer in Data Visualisation at Monash University. She obtained a Ph.D. in Geographical Computer science from giCentre, City, University of London, Uk. Her research explores novel geovisualisation techniques and user centred blueprint methodologies.

Bernhard Jenny is an Associate Professor in Immersive Visualisation at Monash University. He obtained a Ph.D. in cartography from ETH Zurich, and worked in cartography and geovisualisation at Oregon State University and RMIT Melbourne. His current research focuses on immersive maps for visualising and interacting with geographic data in virtual reality and augmented reality, map projections, and terrain visualisation on maps.

Kim Marriott is a Professor in Computer Science. Afterward obtaining his Ph.D. in 1989 he worked at the IBM TJ Watson Research Center until joining Monash in 1993. He is at present Head of the Department of Human being-Centred Computing and his current enquiry focuses on assistive technologies for people with vision damage and immersive information visualisation and analytics.

Michael Wybrow is a Senior Lecturer at Monash University. His research is a combination of data visualisation, man–figurer interaction, constraint-based network layout, and visual explainability of AI systems. He enjoys practical problems and has worked on a number of manufacture-funded research projects. He received his Ph.D. from Monash University in 2008.