Estimating VR Interaction Success with Unity Tool

This title was summarized by AI from the post below.

The paper introduces a practical tool designed to help developers estimate how often users will successfully select virtual objects using raycasting in VR environments, addressing a gap between academic research and real-world VR UI design. As extended reality (XR) devices proliferate, intuitive and reliable 3D interaction becomes increasingly critical, yet existing research on target-pointing performance in three-dimensional spaces has limited direct applicability for practitioners. To bridge this divide, the authors propose a system integrated into the Unity development environment that predicts selection success rates based on established theories of pointing performance, adapted for VR’s unique spatial interaction challenges. They validate the theoretical basis underlying the estimator and detail how the tool functions within standard development workflows, making it easier for UI designers to anticipate and improve interaction quality early in the design process. The authors also report feedback collected from VR developers who trialed the tool, demonstrating its usefulness and potential to streamline usability evaluation in practical projects. By combining rigorous interaction modeling with an accessible implementation, the paper aims to elevate the way VR interfaces are evaluated and refined, reducing reliance on costly user testing alone. This contribution is situated within the Human-Computer Interaction (HCI) domain and focuses on enhancing developer productivity and user experience in immersive systems. https://lnkd.in/ge477-gK

To view or add a comment, sign in

Explore content categories