Publikation: Immersive Analytics
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Immersive Analytics is an emerging research thrust investigating how new interaction and display technologies can be used to support analytical reasoning and decision making. The aim is to provide multi-sensory interfaces that support collaboration and allow users to immerse themselves in their data in a way that supports real-world analytics tasks. Immersive Analytics builds on technologies such as large touch surfaces, immersive virtual and augmented reality environments, sensor devices and other, rapidly evolving, natural user interface devices. While there is a great deal of past and current work on improving the display technologies themselves, our focus in this position paper is on bringing attention to the higher-level usability and design issues in creating effective user interfaces for data analytics in immersive environments.
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CHANDLER, Tom, Maxime CORDEIL, Tobias CZAUDERNA, Tim DWYER, Jaroslaw GLOWACKI, Cagatay GONCU, Matthias KLAPPERSTUECK, Karsten KLEIN, Falk SCHREIBER, Elliot WILSON, 2015. Immersive Analytics. 2015 Big Data Visual Analytics (BDVA). Hobart, Australia, 22. Sept. 2015 - 25. Sept. 2015. In: 2015 big data visual analytics (BDVA 2015) : Hobart, Australia, 22-25 September 2015. Piscataway, NJ: IEEE, 2015, pp. 73-80. ISBN 978-1-4673-7343-2. Available under: doi: 10.1109/BDVA.2015.7314296BibTex
@inproceedings{Chandler2015Immer-38222, year={2015}, doi={10.1109/BDVA.2015.7314296}, title={Immersive Analytics}, isbn={978-1-4673-7343-2}, publisher={IEEE}, address={Piscataway, NJ}, booktitle={2015 big data visual analytics (BDVA 2015) : Hobart, Australia, 22-25 September 2015}, pages={73--80}, author={Chandler, Tom and Cordeil, Maxime and Czauderna, Tobias and Dwyer, Tim and Glowacki, Jaroslaw and Goncu, Cagatay and Klapperstueck, Matthias and Klein, Karsten and Schreiber, Falk and Wilson, Elliot} }
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