Matthieu Guitton, Ph.D.
Full professor au Département d’ophtalmologie et d’oto-rhino-laryngologie – chirurgie cervico-faciale de la Faculté de médecine de l’Université Laval
Secrétaire de la Faculté de médecine de l’Université Laval
Chercheur au Centre de recherche CERVO
Cyberbehavior – The study of human behaviors in virtual spaces
Professor Matthieu Guitton's research aims to understand the behavior of people online, in virtual spaces. He is as interested in the psychology of individuals and virtual communities (including virtual communities of patients) as in the social dynamics in these groups, ethics, and computer-aided communication.
Impact and use of the internet and virtual reality in health
Dr. Guitton's research also focuses on information technologies applied to health sciences. He is studying telemedicine, the use of internet (problematic or not), and the impact of the internet on health care systems. Of particular interest are approaches to optimize the tools available for virtual communities of patients, and the use of virtual reality tools for the rehabilitation of neurosensory disorders.
My main research interests are in cyberbehavior (human behavior in virtual spaces). My research covers both fundamental aspects of cyberbehavior (including cyberpsychology, virtual communities and social dynamics in virtual spaces, computer-mediated communication, human-machine interactions, virtual anthropology) and health applications of information technologies (telemedicine, particularly in the context of ORL diseases, eHealth, problematic Internet use, impact of the Internet on health care systems, health games). Our research is extremely multi- and trans-disciplinary, and we use a variety of research models (ranging from role-play communities of immersive virtual worlds to Wikipedia) and tools (experimental psychology, behavioral neuroscience, virtual anthropology, content analysis, mathematical modeling, …).
Cyberbehavior - Human behavior in virtual spaces
2601 Chemin de la Canardière
Québec (Québec) G1J 2G3
