Bruno Herbelin

Campus Biotech B3
Ch. des Mines 9
CH-1202 Genève

B3 2 222.134 (Campus Biotech bâtiment B3)
Ch. des Mines 9
CH-1202 Genève

Données administratives


Dr.Sc. (Ph.D.) Computer graphics and virtual reality EPFL, CS department, VRLab, Lausanne, CH. Nov 2005
DEA (M.Sc.) Computer sciences and artificial intelligence. Louis Pasteur University, LSIIT, Strasbourg, FR. 2000
Engineer (M.Sc.) Computer science, software and knowledge engineering UTBM, CS department, Belfort-Montbeliard, FR. 1997


Enseignement & Phd


Programmes doctoraux



Research topics

In the recent years, my research focused on the study of the neural mechanisms of bodily self-consciousness and of the experience of embodiment and presence in virtual reality (VR). My research is at the crossroad of fundamental cognitive neuroscience and engineering, where the development of state of the art VR technologies brings unpreceded opportunities for experimental cognitive neuroscience research, and where the understanding of cognitive mechanisms of perception and consciousness stimulates innovation for the engineering of new VR immersion and interaction paradigms.

Reality Substitution Machine

Virtual reality technologies are over 50 years old, yet still considered new and innovative today as they reach a larger public with widespread devices such as the oculus. Beyond the dreams of telepresence and cyberspace, scientific studies of the cognitive mechanisms of the sense of presence and of embodiment are required to fully comprehend how to master the art of virtual reality. To that end, the reality substitution machine (RealiSM) is an original and practical approach for the immersion in mixed-reality environments based on recent findings in cognitive neuroscience of bodily self-consciousness.


ExpyVR allows users to easily design an experiment timeline with loops and randomization using a graphical user interface. Modules for 2D and 3D display, audio, or user input are integrated into the timeline with few clics. Once an experiment is described and saved, a set of execution instances can be generated with randomization for testing with subjects (e.g. factorial design).