DatAR: An Immersive Literature Exploration Environment for Neuroscientists
Publication date
2020-12
Authors
Troost, Ivar
Tanhaei, Ghazaleh
Hardman, Lynda
Hürst, Wolfgang
Editors
Advisors
Supervisors
Document Type
Part of book
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taverne
Abstract
Maintaining an overview of publications in the neuroscientific field is challenging, especially with an eye to finding relations at scale; for example, between brain regions and diseases. This is true for well-studied as well as nascent relationships. To support neuroscientists in this challenge, we developed an Immersive Analytics (IA) prototype for the analysis of relationships in large collections of scientific papers. In our video demonstration we showcase the system's design and capabilities using a walkthrough and mock user scenario. This companion paper relates our prototype to previous IA work and offers implementation details.
Keywords
augmented reality, Immersive analytics, linked data, literature exploration, neuroscience, Taverne, Artificial Intelligence, Computer Science Applications, Media Technology
Citation
Troost, I, Tanhaei, G, Hardman, L & Hürst, W 2020, DatAR : An Immersive Literature Exploration Environment for Neuroscientists. in IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)., 9319103, IEEE, pp. 55-56, 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, Virtual, Utrecht, Netherlands, 14/12/20. https://doi.org/10.1109/AIVR50618.2020.00020, conference