Metrics for 3D Object Pointing and Manipulation in Virtual Reality: The Introduction and Validation of a Novel Approach in Measuring Human Performance
Published in IEEE Robotics & Automation Magazine (IEEE RAM), 2022
Recommended citation: Eleftherios Triantafyllidis, Wenbin Hu, Christopher McGreavy and Zhibin Li, "Metrics for 3D Object Pointing and Manipulation in Virtual Reality: The Introduction and Validation of a Novel Approach in Measuring Human Performance," in IEEE Robotics & Automation Magazine, vol. 29, no. 1, pp. 76-91, March 2022, doi: 10.1109/MRA.2021.3090070. https://arxiv.org/pdf/2106.06655.pdf
This paper introduces a new performance metric based on Fitts law, designed to model human motor performance across full 3D space with varying degrees of freedom. This metric serves as a distinctive tool to quantify prevalent VR-based interactions and robotic teleoperation movements, increasing inter-study comparability in these domains.