Information-theoretic Sensorimotor Foundations of Fitts' Law
Trendafilov, Dari and Polani, Daniel
(2019)
Information-theoretic Sensorimotor Foundations of Fitts' Law.
In:
CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems :.
Conference on Human Factors in Computing Systems - Proceedings
.
ACM Press, GBR.
ISBN 9781450359719
We propose a novel, biologically plausible cost/fitness function for sensorimotor control, formalized with the information-theoretic principle of empowerment, a task-independent universal utility. Empowerment captures uncertainty in the perception-action loop of different nature (e.g. noise, delays, etc.) in a single quantity. We present the formalism in a Fitts' law type goal-directed arm movement task and suggest that empowerment is one potential underlying determinant of movement trajectory planning in the presence of signal-dependent sensorimotor noise. Simulation results demonstrate the temporal relation of empowerment and various plausible control strategies for this specific task.
Item Type | Book Section |
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Additional information | © 2019 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published is accessible via https://doi.org/10.1145/3290607.3313053 |
Keywords | fitts' law, information theory, sensorimotor control, uncertainty, human-computer interaction, computer graphics and computer-aided design, software |
Date Deposited | 15 May 2025 16:44 |
Last Modified | 30 May 2025 23:18 |
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