Who is it for?This talk is for anyone interested in data analysis, data exploration, immersion or using data to solve problem in-situ, in real-time rather than after the event away from the sources of the data. This talk is about Immersive Analytics, an emerging field of research and development which seeks a deeper engagement with the analysis and data in an immersive sense in virtual or augmented reality.
What is it about?
This talk introduces and discusses many examples of immersion, data analysis and hence immersive analytics.
The first thing to understand is that there are many meanings of the term “immersive” alongside different approaches to analytics. There are two primary facets related to the term immersive analytics. The first, and more literal aspect, is to be immersed or submerged in the data and analytic task. This gives rise to the examination of the range of human senses, modalities and technologies which might allow one to have their various senses fully immersed. A second facet, is the provision of computational analysis methods which facilitate a deep mental involvement with the task and data. Smooth interaction with the data and analytic task might allow people to concentrate and focus their attention, allowing them to enter a ``flow state'' which affords them the depth of thought required to be fully immersed.
About the Speaker:
Professor Aaron Quigley is the Chair of Human Computer Interaction and Director of Impact in the school of Computer Science in the University of St Andrews in Scotland. His research interests include discreet computing, novel and on-body interaction, global HCI, pervasive and ubiquitous computing and information visualisation. Aaron is the ACM SIGCHI Vice President for Conferences, General co-Chair for the ACM CHI conference 2021 in Yokohama Japan and an ACM distinguished speaker. Aaron is currently visiting the CUTE center in NUS for his sabbatical.