Immersive Analytics: A new multidisciplinary initiative to explore future interaction technologies for data analytics

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Just another NII Shonan Meeting – Seminar site

Overview

Several research directions are concerned with the development of methods to support the analysis of overwhelming data, including machine learning, information and data visualisation, data analytics and human computer interaction. However, there is still a major gap to fill: how can we immerse analysts in the data in order to provide more natural exploration, analysis and collaboration?
In recent years we have seen significant advances in the development of new technologies for human-computer interfaces. We have rapidly progressed from expensive immersive visualisation facilities like “CAVE”s to cheap head-mounted displays and motion tracking control devices able to provide similarly, or in some cases more, immersive experiences that are affordable to the public or small businesses. In response to these advances, we propose a new facet of data analytics research that we call “Immersive Analytics”. This new research direction explores how these new display and interaction technologies can be used to create more engaging experiences and seamless work-flows for data analysis applications.
 The aim of this meeting is to create a community of researchers into immersive analytics by bringing together experts from the human computer interaction, information visualisation, augmented reality and visual analytics communities from Europe, Asia, the Americas, and Oceania; as well as domain experts from application areas that require analysis of complex data sets.
During the meeting, we will prepare the compilation of an Immersive Analytics manifesto, and investigate the potential and the challenges of Immersive Analytics for research and commercial applications.

References

T. Chandler et al., Immersive Analytics, IEEE Big Data Visual Analytics conference, Hobart, 2015.

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