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        Information-theoretic Sensorimotor Foundations of Fitts' Law

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        CHI_WIP_19_for_RIS.pdf (PDF, 876Kb)
        Author
        Trendafilov, Dari
        Polani, Daniel
        Attention
        2299/22017
        Abstract
        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.
        Publication date
        2019-05-02
        Published in
        CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
        Published version
        https://doi.org/10.1145/3290607.3313053
        Other links
        http://hdl.handle.net/2299/22017
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