University of Hertfordshire

By the same authors

Information-theoretic Sensorimotor Foundations of Fitts’ Law

Research output: Contribution to conferencePaper


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Original languageEnglish
Number of pages6
Publication statusAccepted/In press - 2019
EventACM CHI Conference on Human Factors in Computing Systems - Scottish Event Campus, Glasgow, United Kingdom
Duration: 4 May 20199 May 2019


ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI'19
CountryUnited Kingdom
Internet address


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. Em- powerment 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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