@inproceedings{a30f22e7530d4e1698780cc424659c59,
title = "EVE: A framework for experiments in virtual environments",
abstract = "EVE is a framework for the setup, implementation, and evaluation of experiments in virtual reality. The framework aims to reduce repetitive and error-prone steps that occur during experiment-setup while providing data management and evaluation capabilities. EVE aims to assist 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 EVE a comprehensive solution for research using VR. In this article, we illustrate the functions and flexibility of EVE in the context of an ongoing VR experiment called Neighbourhood Walk.",
author = "Jascha Gr{\"u}bel and Raphael Weibel and Jiang, \{Mike Hao\} and Christoph H{\"o}lscher and Hackman, \{Daniel A.\} and Schinazi, \{Victor R.\}",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 13th Biennial Conference of the German Society for Cognitive Science, KogWis 2016 and the 10th International Conference on Spatial Cognition, Spatial Cognition 2016 ; Conference date: 02-08-2016 Through 05-08-2016",
year = "2017",
doi = "10.1007/978-3-319-68189-4\_10",
language = "English",
isbn = "9783319681887",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "159--176",
editor = "Thomas Barkowsky and Holger Schultheis and Christoph H{\"o}lscher and Heather Burte",
booktitle = "Spatial Cognition X",
}