Human-data interaction

This research program facilitates the interaction between analysts and data (for knowledge discovery) and the communication of these findings to stakeholders (for decision-making). 

Our team specialises in the design and development of data visualisations, visual user interfaces and interaction methods. We explore how traditional data-driven techniques (such as those from machine learning, artificial intelligence, statistics and data mining) can be combined with interactive visualisations, and focus on how human creativity and factors beyond data values (such as ethical, social and cultural ones) can become integral components of sustainable data analytics. 

In collaboration with industry partners, we deliver compelling visualisations, effective interactions, optimum analytic methods and solid engineering to help transform research findings and data insights into a positive impact on healthcare, business, finance, social science and biology.

Program themes

Data visualisation:

• Visualisation quality metrics

• Visual perception and cognition

• Visualisation algorithms.

Interaction design:

• Human-data interaction behaviours and models

• Interactive machine learning models

• Immersive data analysis environments.

Intelligent visual analytics:

• Adaptive data visualisations and user interfaces

• Visual machine learning and data mining

• Spatio-temporal visual data analysis

• Descriptive, predictive and prescriptive analytics.