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Conference Papers Year : 2021

Grand Challenges in Immersive Analytics

Benjamin Bach
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Maxime Cordeil
Ulrich Engelke
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Arnaud Prouzeau
Tica Lin
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Nazmus Saquib
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Yalong Yang
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Abstract

Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics.
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Dates and versions

hal-03478776 , version 1 (14-12-2021)

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Barrett Ens, Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Marcos Serrano, et al.. Grand Challenges in Immersive Analytics. Conference on Human Factors in Computing Systems (CHI 2021), May 2021, Yokohama / Virtual, Japan. pp.1-17, ⟨10.1145/3411764.3446866⟩. ⟨hal-03478776⟩
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