Christian Hirt from ETH Zurich presents his work in the field of research in Virtual Reality, covering topics from learning to stress and locomotion in VR.
Hovedinnhold
Foto/ill.:
Christian Hirt
Abstract
Virtual Reality (VR) has taken tremendous steps forward in recent years. Cheaper, more reliable VR equipment and improved performance in modern computers finally allow VR to become more available than ever. Not only private households gain easy access to VR entertainment, but also industrial and medical applications emerge with this increasing availability. In this lecture, he will talk about learning and teaching industry-related tasks in virtual environments, about how stress could be utilised for more immersive virtual experiences, and about simple manipulation of users in virtual locomotion.
Foto/ill.:
Christian Hirt
Bio
Christian Hirt is a PhD student at the Innovation Center Virtual Reality at ETH Zurich in Switzerland. He finished his master’s degree in 2017, in which he focused on the application of SLAM tracking to known virtual locomotion methods. Today, he is mainly working on algorithmic approaches to improve the immersion in locomotion-based applications using so-called Redirected Walking. This includes some fundamental topics in human locomotion behaviour, short-term path prediction and predictive control systems to adapt to users’ spontaneity. Besides locomotion, he is investigating various interesting VR topics, such as eye-related stress detection and guided learning and teaching in VR.
