FAN-VE: A Tool for Facial Animation Generation in Virtual Reality Education

Abstract

Teachers play a critical role in the education process. The importance of this role is not diminished when transitioning into Education inside Virtual Reality. With the rise of popularity in VR and remote education, the optimization of virtual teachers becomes needed. In this paper, we present a tool that provides facial animations to virtual teachers. The tool is designed to be user friendly, generic, and work across different models and facial expressions in order to serve a wide range of use cases. The tool was tested for usability and feedback was collected regarding its functionality. Our results indicate that our tool is user friendly and needed and has potential for further development and adoption.