2014
DOI: 10.1098/rsif.2014.0636
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To react or not to react? Intrinsic stochasticity of human control in virtual stick balancing

Abstract: Understanding how humans control unstable systems is central to many research problems, with applications ranging from quiet standing to aircraft landing. Increasingly, much evidence appears in favour of event-driven control hypothesis: human operators only start actively controlling the system when the discrepancy between the current and desired system states becomes large enough. The event-driven models based on the concept of threshold can explain many features of the experimentally observed dynamics. Howev… Show more

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Cited by 36 publications
(62 citation statements)
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“…Here we confront the model to the results of two experiments on virtual stick balancing conducted previously [6,11]. In both experiments, the subjects (operators) observed a mechanical system on a computer screen, and had to balance the stick upwards by moving the cart via computer mouse.…”
Section: Resultsmentioning
confidence: 99%
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“…Here we confront the model to the results of two experiments on virtual stick balancing conducted previously [6,11]. In both experiments, the subjects (operators) observed a mechanical system on a computer screen, and had to balance the stick upwards by moving the cart via computer mouse.…”
Section: Resultsmentioning
confidence: 99%
“…In both experiments, the subjects (operators) observed a mechanical system on a computer screen, and had to balance the stick upwards by moving the cart via computer mouse. In experiment 1 ("no mouse" condition) the mouse cursor was not present on the screen, so the operators could only observe the angular deviation of the stick from the vertical position [6]. In experiment 2 ("mouse" condition), the reference point (mouse cursor) was displayed near the upper tip of the stick.…”
Section: Resultsmentioning
confidence: 99%
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“…Recently, a novel concept of noise-driven control activation has been proposed as a more advanced alternative to the conventional threshold-driven activation [15]. It argues that the control activation in humans may be not threshold-driven, but instead intrinsically stochastic, noise-driven, and stems from stochastic interplay between operators need to keep the controlled system near the goal state, on the one hand, and the tendency to postpone interrupting the system dynamics, on the other hand.…”
Section: Introductionmentioning
confidence: 99%