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
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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.

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