Immersive analytics (IA) is a new term referring to the use of immersive technologies for data
analysis. Yet such applications are not new, and numerous contributions have been made in …

Virtual Reality (VR) has often been discussed as a promising medium for immersive data
visualization and exploration. However, few studies have evaluated users' open-ended …

Dimension reduction algorithms and clustering algorithms are both frequently used
techniques in visual analytics. Both families of algorithms assist analysts in performing …

The design space for user interfaces for Immersive Analytics applications is vast. Designers
can combine navigation and manipulation to enable data exploration with ego-or exocentric …

With the rise of big data, it is becoming increasingly important to educate groups of students
at many educational levels about data analytics. In particular, students without a strong …

In this chapter we seek to elevate the role of the human in human-machine cooperative
analysis through a careful consideration of immersive design principles. We consider both …

An increasing number of web articles engage the reader with the feeling of being immersed
in the data space. However, the exact characteristics of spatial immersion in the context of …

Semantic interaction (SI) in Dimension Reduction (DR) of images allows users to
incorporate feedback through direct manipulation of the 2D positions of images. Through …

To optimize the travel time of priority vehicles (PV) and fluidize road traffic in Moroccan cities,
we propose in this paper a control system to manage traffic at signalized intersections in …

Visual analytics are becoming increasingly important in the light of big data and related
scenarios. Along this trend, the field of immersive analytics has been variously furthered as it …