  Locomotion in Virtual Reality (VR) is an important part of VR applications.
Many scientists are enriching the community with different variations that
enable locomotion in VR. Some of the most promising methods are gesture-based
and do not require additional handheld hardware. Recent work focused mostly on
user preference and performance of the different locomotion techniques. This
ignores the learning effect that users go through while new methods are being
explored. In this work, it is investigated whether and how quickly users can
adapt to a hand gesture-based locomotion system in VR. Four different
locomotion techniques are implemented and tested by participants. The goal of
this paper is twofold: First, it aims to encourage researchers to consider the
learning effect in their studies. Second, this study aims to provide insight
into the learning effect of users in gesture-based systems.
