Comunicació presentada a: the 2014 Virtual Reality International Conference (VRIC 2014), celebrada del 9 a l'11 d'abril de 2014 a Laval, FrançaThe quantity of information we are producing is soaring: this generates
large amounts of data that are frequently left unexplored. Novel
tools are needed to stem this “data deluge”. We developed a system
that enhances the understanding of large datasets through embodied
navigation and natural gestures using the immersive mixed reality
space called “eXperience Induction Machine” (XIM). One of the
applications of our system is in the exploration of the human brain
connectome: the network of nodes and connections that defines the
information flow in the brain. We exposed participants to a connectome
dataset using either our system or a state of the art software for
visualization and analysis of connectomic data. We measured their
understanding and visual memory of the connectome structure. Our
results showed that participants retained more information about
the structure of the network when using our system. Overall, our
system constitutes a novel approach in the exploration and understanding
of large network datasets.The research leading to these results has received funding from
the European Community’s Seventh Framework Programme (FP7-
ICT-2009-5) under grant agreement n. 258749 [CEEDS]. Thanks
to the Comissionat per a Universitats i Recerca (CUR) del Departament
d’Innovaci´o, Universitats i Empresa (DIUE) of the Generalitat
de Catalunya and to the European Social Fund for supporting this
research