The Challenges in Modeling Human Performance in 3D Space with Fitts Law
Published in ACM CHI 2021, 2021
Recommended citation: Eleftherios Triantafyllidis and Zhibin Li. 2021. The Challenges in Modeling Human Performance in 3D Space with Fitts Law. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA 2021). Association for Computing Machinery, New York, NY, USA, Article 56, 1–9. https://doi.org/10.1145/3411763.3443442 https://arxiv.org/pdf/2101.00260.pdf
This paper presents and analyses the most widely used human motor performance metric extensions based on Fitts law. The aim is to aid the derivation of a unified and standardised metric for measuring and quantifying motor task performance; commonly seen in robotic teleoperation and VR-based interactions in full 3D space entailing varying degrees of freedom.