Abstract. EVE is a framework for the setup, implementation and evaluation of experiments in virtual reality (VR). The framework aims at reducing repetitive and error-prone steps during experiment-setup while providing data management and evaluation capabilities. EVE aims at assisting researchers who do not have specialized training in computer science. The framework is based on the popular platforms of Unity and MiddleVR. Database support, visualization tools and scripting for R make it a comprehensive solution for research using VRs. In this article, we illustrate the functions, utility and exibility of EVE in the context of an ongoing collaborative VR experiment known as Neighbourhood Walk.
This chapter is was published on December 16, 2017 in the book Spatial Cognition X: 13th Biennial Conference, KogWis 2016, Bremen, Germany, September 26-30, 2016, and 10th International Conference, Spatial Cognition 2016, Philadelphia, PA, USA, August 2-5, 2016, Revised Selected Papers. The preliminary poster is found here.
Mike contributed to the MiddleVR integration to EVE. This enables data collection from any MiddleVR-enabled and VRPN-enabled sensors. He also wrote an interface for eye tracking that visualizes the gaze in the virtual world.
Mike Hao Jiang 