Dari Borisov Trendafilov, Daniel Polani,
"Information-theoretic Sensorimotor Foundations of Fitts? Law"
: CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 5-2019, ISBN: 978-1-4503-5971-9
Information-theoretic Sensorimotor Foundations of Fitts? Law
Sprache des Titels:
CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
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.