Visualising the world at local and global levels is a paramount concern across every sector of our digitally enabled society. However a framework able to integrate the increasingly divergent ways of imaging and modelling the world has yet to be imagined.
Faced with a deluge of conflicting visual data, the research and industrial sectors increasingly utilise immersive interactive systems to explore and prototype datasets so as to enable effective data organisation and decision-making. At the cutting edge of this research is the problem of how to visually represent and share increasingly complex datasets by integrating the way machines process data using numerical patterns with the user’s capacity to process data using sensorial patterns, so as to explore the underlying connections between data.
Critical here is the development of a collaborative immersive interactivity framework that integrates the way machines interpret data with the way users interact with data. Such a framework involves integrating research into interactive intelligent aesthetics with next generation research into networked immersive environments to develop intelligent and interconnected immersive visualisation systems.
Centre projects investigate the development of such a framework in a range of visualisation contexts including: a) humans and machines in diverse contexts; b) knowledge, reasoning, learning and acting in imaging systems; c) human and machine groups in immersive environments; d) interaction between humans and machines in performative and cinematic settings.
The key research focus of this area is threefold: a) the development of immersive visualisation systems that allow the aesthetic collection, integration and display of large-scale datasets; b) the development of display systems that allow augmented and interlinked navigation of physical/virtual data in the field on androids and in the laboratory; c) development of intelligent forms of visualisation able to process and navigate large datasets, both recorded and simulated for analysis and evaluation.
The key research focus of this area is threefold: a) the development of intelligent agents interacting with complex data and embodying these agents in either a virtual or physical environment; b) the integration of human and robotic interaction within immersive environments that enable seamless cognitive and affective communication between machines and users; c) establish an integrated and networked virtual reality system to evaluate the interaction between humans and transport systems within defined yet flexible activity sites and networks.
The key research focus of this area is threefold: a) the exploration of interactive systems coupled to machine systems that significantly augment visualisation capabilities by integrating the cognitive abilities of machine systems with those of the user; b) the investigation into novel strategies for human interaction that create new opportunities for researching issues that require large scale, creative visualisation paired with social approaches; c) the development of motion capture and motion tracking scenographic systems.
The key research focus of this area is threefold: a) the exploration of human-machine enabled narrative and narration in contemporary visual arts, hybrid performance, and cinema; b) the investigation of multi-cultural, multi-lingual and pluri-ethnic impacts and invention in machine enabled environments; c) the inflections enabled by machine based art practices in major interdisciplinary theoretical regimes such as Performance Studies, Trauma Studies, and Childhood Studies.