IEEE Robotics & Automation Magazine - March 2022 - 76

©SHUTTERSTOCK.COM/YAKOBCHUK VIACHESLAV
Metrics for 3D
Object Pointing and
By Eleftherios Triantafyllidis, Wenbin Hu,
Christopher McGreavy, and Zhibin Li
Manipulation in
Virtual Reality
The Introduction and
Validation of a Novel Approach
in Measuring Human Performance
A
ssessing the performance of human movements during
teleoperation and virtual reality (VR) is a challenging
problem, particularly in 3D space, due to
complex settings. Despite the presence of a
multitude of measurements, a compelling standardized
3D metric is yet missing, aggravating interstudy
comparability. Hence, evaluating human performance in virtual
environments (VEs) is a long-standing research goal, and
a performance metric that combines two or more measurements
under one formulation remains largely unexplored, particularly
in higher dimensions. The absence of such a metric is
primarily attributed to the discrepancies between pointing and
manipulation, the complex spatial variables in 3D, and the
combination of translational and rotational movements.
In this work, four experiments were designed and conducted
with progressively higher spatial complexity to thoroughly
study and compare existing metrics. The goal was to
quantify the difficulty of these 3D tasks and sufficiently model
human performance in full 3D peripersonal space (PPS).
Digital Object Identifier 10.1109/MRA.2021.3090070
Date of current version: 21 July 2021
76 * IEEE ROBOTICS & AUTOMATION MAGAZINE * MARCH 2022
1070-9932/22©2022IEEE
http://www.SHUTTERSTOCK.COM/YAKOBCHUK

IEEE Robotics & Automation Magazine - March 2022

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