Immersive Analytics (IA) is an emerging field that studies technologies facilitating a deep cognitive, perceptual and/or emotional involvement of humans when understanding and reasoning with data. The goal of this project is to investigate and quantify the impact of such technologies on immersion, and the role of immersion for data analytics. We aim to further develop the Immersive Analytics methodology and investigate the applicability of IA approaches to research tasks in the life sciences, with a particular focus on quantitative aspects of immersive analytics. We will design immersive environments for selected applications of the life sciences and develop new methodologies that allow us to put the human in the loop for an immersive experience during an analytics workflow.
How can we quantify immersion in an analytics process, and how can we quantify the impact of immersion?
How can we best support analytics and decision making tasks with Immersive Analytics approaches facilitated by new technologies?
What are new potentials and benets that IA brings for tasks in the life sciences, and how can we quantify them?
Fig. 1: Immersive Analytics (IA)
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