Throwing in Virtual Reality: Performance and Preferences Across Input Device Configurations

Abstract

An underexplored interaction metaphor in virtual reality (VR) is throwing, with a considerable challenge in achieving accurate and natural results. We conducted a preliminary investigation of par- ticipants’ VR throwing performance, measuring their accuracy and preferences across various input device configurations and throw- able object types. Participants were tasked with throwing different objects toward targets using five input device configurations we de- veloped. Our work is relevant to researchers and developers aiming to improve throwing interactions in VR. We demonstrate that on- body tracking leads to the highest throwing accuracy, whereas most participants preferred a controller-derived configuration.

Mykola Maslych

Computer Science PhD Candidate

My research interests include machine learning applied to 3D User interfaces and HCI in general.