Immersive Analytics (IA) is “the use of engaging, embodied analysis tools to support data understanding and decision making.” Immersive analytics builds upon several features such as data visualization, visual analytics, virtual reality, computer graphics, human-computer interaction to support data understanding, and either individual or collaborative decision making. IA is a new technology that uses head-mounted VR/AR or hand-held equipment to provide new kinds of display and interaction technologies such as sensor technologies as well as machine learning.
As Aroaro expanded we refocused its purpose data visualisation platform to allow users perform visualization and analysis of data. The latter aligns with a novel area of research known as Immersive Analytics. The ultimate purpose of Aroaro’s immersive analytics engine is quality decision making.
We argue network information is becoming of heightened strategic importance to many business organizations.
The context of the problem presented here refers to the assumption that a particular business organization has access to a network data set, which may be its own or a third party’s.
Let us consider a specific scenario where such business organization finds it of outmost importance to its commercial activities to identify the most important members of the network.
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To research whether Immersive Analytics (IA) supports a more effective decision-making process, we are running an experiment to compare Aroaro with 2D data visualisation platform, Gephi.
Gephi is the leading 2D visualization and exploration software for all kinds of graphs and networks.
Participants impersonate a mid-level manager in charge of advising a marking campaign to make 12 decisions by using the immersive platform, Aroaro and 2D network data visualization platform, Gephi.
Participants are able to fly into a fictional data set to visualise the interactions between nodes and attributes of each node. They can run queries in Aroaro to support their analysis and decision-marking.
On Gephi, participants are able to visualise the same data set on the 2D desktop screen. They can run simple queries on Gephi as well. In order to make sure the experiment is fair to both platforms, participants will use the same functions on Aroaro and Gephi.
“The use of engaging, embodied analysis tools to support data understanding and decision making.”