Accuracy measures for evaluating computer pointing devices

By I. MacKenzie, Tatu Kauppinen, Miika Silfverberg. International Conference on Human Factors in Computing Systems, 2001

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Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia (2008, methodology): “(Illustration derived from MacKenzie et al [28].”
Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI (2004, unknown): “(Douglas et al., 1999; Isokoski and Raisamo, 2002; Keates et al., 2002; MacKenzie and Jusoh, 2001; MacKenzie et al., 2001; MacKenzie and Oniszczak, 1998; Oh and Stuerzlinger, 2002; Poupyrev et al., 2004; Silfverberg et al., 2001).”
Current practice in measuring usability: Challenges to usability studies and research (2006, methodology): “Another example of a combined measure is throughput based on the effective width of targets, used in several studies of input techniques included in this review (e.g., MacKenzie et al., 2001).”
A survey of 3D object selection techniques for virtual environments (2013, background): “evaluation of different input devices [58], up to estimating times 158 for pressing a button with a mouse or selecting an object in 3D 159”
EdgeWrite: a stylus-based text entry method designed for high accuracy and stability of motion (2003, background): “• Greater Stability: Decreased movement variability and movement offset [14].”