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Presentation

Course
:
Immersive Analytics
Event Type
Course
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TimeWednesday, 20 November 201914:15 - 18:00
DescriptionThe emergence of new display and input technologies profoundly changes the way we interact with data. We are moving from purely desktop based analysis and visualisation, to visual analysis using large wall displays or head mounted displays across the reality-virtuality continuum. Multimodal interaction techniques and tangible user interfaces allow for fluent data manipulation utilising a wide range of motor and sensory modalities of the human body and mind, potentially allowing for improved task efficiency, deeper engagement, and enhanced user experience. Immersive Analytics is a term coined to describe this emerging field of research and development. An increasing body of research has shown the value of immersive analytics systems in a range of applications, including in spatial sciences, manufacturing, and health. Many open issues, however, remain regarding the design space and processing pipeline of immersive analytics systems, including suitable visual representations of complex data, optimal interaction strategies, and real-time processing of large data sources. Specific issues are concerned with the design of real-world situated analytics systems, collaborative systems for multiple analysts, and embodiment of data, all of which require fast and high quality graphics for optimal user experience and analytical performance. While in a recent workshop at ACM CHI 2019 we put a particular focus on user interaction, in this course we aim to draw a stronger focus on the graphical representation and data processing including how GPU facilitate immersive analytics of big data. The lecturers are active immersive analytics practitioners on a range of applications, have extensive teaching experience in this space, and are thus well positioned to present this course. Through this course we aim to not only educate and excite the SIGGRAPH Asia community about this emerging field but to bring the computer graphics and visualisation communities together to learn from each other and build future engagement.