Virtual reality in computational neuroscience
Virtual reality applications
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Using Augmented Reality for Visualizing Complex Graphs in Three Dimensions
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
A tactile luminous floor for an interactive autonomous space
Robotics and Autonomous Systems
Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets
IEEE Transactions on Visualization and Computer Graphics
Do we need to walk for effective virtual reality navigation? physical rotations alone may suffice
SC'10 Proceedings of the 7th international conference on Spatial cognition
Unity 3D Game Development by Example Beginner's Guide
Unity 3D Game Development by Example Beginner's Guide
A sensing architecture for empathetic data systems
Proceedings of the 4th Augmented Human International Conference
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The study of natural and artificial phenomena generates massive amounts of data in many areas of research. This data is frequently left unused due to the lack of tools to effectively extract, analyze and understand it. Visual representation techniques can play a key role in helping to discover patterns and meaning within this data. Neuroscience is one of the scientific fields that generates the most extensive datasets. For this reason we built a 3D real-time visualization system to graphically represent the massive connectivity of neuronal network models in the eXperience Induction Machine (XIM). The XIM is an immersive space equipped with a number of sensors and effectors that we constructed to conduct experiments in mixed-reality. Using this infrastructure we developed an embodied interaction framework that allows the user to move freely in the space and navigate through the neuronal system. We conducted an empirical evaluation of the impact of different navigation mappings on the understanding of a neuronal dataset. Our results revealed that different navigation mappings affect the structural understanding of the system and the involvement with the data presented.