PhD (Otago), BCom (Hons), FNZCS
As Professor of Human-Computer Interaction, Dr Wong's research interest is in the representation design of information and the interaction of user interfaces to support decision making in complex dynamic environments such as emergency ambulance command and control, air traffic control, and hydro-electricity dispatch. He uses concepts and techniques from usability engineering, cognitive task analysis and cognitive systems engineering to understand the nature of expertise and to model the nature of cognitive work.
He is currently investigating the problems of visual analytics in sense-making domains with high information density and variability, in contexts such as intelligence analysis, financial systemic risk analysis, and low literacy users. In the process, he invented INVISQUE – the interactive visual search and query environment that has introduced the concept of "grasp-able" information to facilitate information search and discovery in sense-making (www.invisque.com).
Recipient of over US$25 million in grants, he is or has been the project coordinator for several multi-parrtner, multi-national, research consortiums: FP7 VALCRI, FP7 CRISIS, UKVAC (funded by HM Government and US DHS), EPSRC Making Sense (deputy PI), EUROCONTROL 3D-in-2D project.
Throughout his career, he has been engaged in setting up new units to carry out new work, e.g.:
1990 – 1992, Singapore. Wong set up the Systems and Communications Operations Branch at HQ RSAF for the command and control of electronic assets during wartime;
1995 – 2003, New Zealand. He set up the Multimedia Systems Research Laboratory as a centre for research into human factors and multimedia.
2003 – present, United Kingdom. Wong led the Interaction Design Centre to use Human-Computer Interaction as basis for designing new technologies, e.g. in ATC, simulation and training, and INVISQUE. He led the UKVAC, and from time to time provides VA advice to HM Government.
Published Research - last 5 years:
On 13 April 2005, William Wong presented his Inaugural Professorial Lecture entitled "Human-Systems Interaction: Challenges for Representation Design".
Aljrees, Turki and Shi, Daming and Windridge, David and Wong, B. L. William (2016) Criminal pattern identification based on modified K-means clustering. 2016 International Conference on Machine Learning and Cybernetics (ICMLC), 2 . pp. 799-806. ISSN 2160-1348
Islam, Junayed and Xu, Kai and Wong, B. L. William (2018) Uncertainty of visualizations for SenseMaking in criminal intelligence analysis. In: EuroRV3: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (2018), 04-08 June 2018, Brno, Czech Republic.
Islam, Junayed and Wong, B. L. William and Xu, Kai (2018) Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis. In: Community-Oriented Policing and Technological Innovations. Leventakis, Georgios and Haberfeld, M. R. , eds. SpringerBriefs in Criminology . Springer, pp. 95-105. ISBN 9783319892931
Islam, Junayed and Xu, Kai and Wong, B. L. William (2018) Analytic provenance for criminal intelligence analysis. Chinese Journal of Network and Information Security, 4 (2). pp. 18-33. ISSN 2096-109X
Groenewald, Celeste and Attfield, Simon and Passmore, Peter J. and Wong, B. L. William and Kodagoda, Neesha (2017) A practical, hybrid argumentation model to assist with the formulation of defensible assessments in uncertain sense-making environments. In: 2017 International Conference Next Generation Community Policing, 25-27 Oct 2017, Heraklion, Crete, Greece.