Fitts' Law in the Control of Isometric Grip Force With Naturalistic Targets

Frontiers in Psychology
Zachary C ThumserPaul D Marasco

Abstract

Fitts' law models the relationship between amplitude, precision, and speed of rapid movements. It is widely used to quantify performance in pointing tasks, study human-computer interaction, and generally to understand perceptual-motor information processes, including research to model performance in isometric force production tasks. Applying Fitts' law to an isometric grip force task would allow for quantifying grasp performance in rehabilitative medicine and may aid research on prosthetic control and design. We examined whether Fitts' law would hold when participants attempted to accurately produce their intended force output while grasping a manipulandum when presented with images of various everyday objects (we termed this the implicit task). Although our main interest was the implicit task, to benchmark it and establish validity, we examined performance against a more standard visual feedback condition via a digital force-feedback meter on a video monitor (explicit task). Next, we progressed from visual force feedback with force meter targets to the same targets without visual force feedback (operating largely on feedforward control with tactile feedback). This provided an opportunity to see if Fitts' law would hold without...Continue Reading

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Citations

Dec 7, 2018·Attention, Perception & Psychophysics·Stacey L Gorniak
Nov 16, 2018·Frontiers in Neuroscience·John E DowneyJennifer L Collinger
Mar 17, 2020·Biomedical Engineering Letters·Erik J WolfMichael Wolfson
Jul 14, 2020·Frontiers in Neuroscience·Jonathon W Sensinger, Strahinja Dosen
May 8, 2021··Zhibin Li, Eleftherios Triantafyllidis

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