Currently applications and use of virtual environments is a major growth area. The different ways of interacting with these environments allow us to perform various tasks and uses of them. However, new users regularly face problems when using some devices for these environments. In this paper is studied and analyzed the contactless interactions of new users with a virtual environment. Particularly, this study proposes to analyze the frustration levels of users when they are learning and adapting. Frustration levels are acquired from an EEG reader and used to evaluate their performance and compromise, for a simple task of taking and arranging objects. Two modes of interaction have been tested: in one mode, people interact with the environment using their hands, and in the other mode, people interact with the environment using a physical tool. Both modes of contactless interaction will rely on the Leap Motion Controller. Preliminary results show relations between dispersion of levels of frustration, going from data highly dispersed to normal distributions when user is more adapted.