2023
DOI: 10.7554/elife.81939
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Optimization of energy and time predicts dynamic speeds for human walking

Abstract: Humans make a number of choices when they walk, such as how fast and for how long. The preferred steady walking speed seems chosen to minimize energy expenditure per distance traveled. But the speed of actual walking bouts is not only steady, but rather a time-varying trajectory, which can also be modulated by task urgency or an individual’s movement vigor. Here we show that speed trajectories and durations of human walking bouts are explained better by an objective to minimize Energy and Time, meaning the tot… Show more

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Cited by 12 publications
(13 citation statements)
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“…An alternative formulation considers vigor as the outcome of the minimization of a subjective weighting between a cost of time (CoT) and a cost of movement, modulated by the expected reward (20,21), which is convenient to model vigor in reaching tasks (28,29). When reward is not explicit (e.g., pointing to a light spot), movement vigor could then be determined by a common trade-off between time and effort, which could represent a trait-like feature of individuality (30)(31)(32)(33)(34). Empirical evidence of such a subjective CoT was recently reported in an isometric reaching task without explicit reward (35).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…An alternative formulation considers vigor as the outcome of the minimization of a subjective weighting between a cost of time (CoT) and a cost of movement, modulated by the expected reward (20,21), which is convenient to model vigor in reaching tasks (28,29). When reward is not explicit (e.g., pointing to a light spot), movement vigor could then be determined by a common trade-off between time and effort, which could represent a trait-like feature of individuality (30)(31)(32)(33)(34). Empirical evidence of such a subjective CoT was recently reported in an isometric reaching task without explicit reward (35).…”
Section: Introductionmentioning
confidence: 99%
“…Empirical evidence of such a subjective CoT was recently reported in an isometric reaching task without explicit reward (35). On the basis of this premise, several computational models were developed to account for the vigor of individuals during walking (34) and reaching (20,29,31,35,36), from a similar minimum time-effort (MTE) principle. Estimation of the underlying CoT in reaching was obtained from point-to-point movements of various amplitudes, using effort costs traditionally represented in motor control (29,31), although other factors such as accuracy or comfort may also modulate vigor in general (37)(38)(39)(40)(41).…”
Section: Introductionmentioning
confidence: 99%
“…This average speed includes the acceleration and deceleration periods as characterized by Miff et al [ 82 ], who found that the acceleration and deceleration periods were about 1.5 to 1.7 seconds with a weak dependence on speed. So, the reduction in average speed is partly due to a greater portion of the bout being spent in acceleration-deceleration and partly due to reduced steady walking speed [ 17 , 82 , 91 ]. We did not measure the velocities during the acceleration-deceleration phases, their durations, or the steady walking speed.…”
Section: Discussionmentioning
confidence: 99%
“…An alternative formulation considers vigor as the outcome of the minimization of a subjective weighting between a cost of time (CoT) and a cost of movement, modulated by the expected reward [20,21], which is convenient to model vigor in reaching tasks [28,29]. When reward is not explicit (e.g., pointing to a light spot), movement vigor could then be determined by a common tradeoff between time and effort, which could represent a trait-like feature of individuality [30][31][32][33][34]. Empirical evidence of such a subjective CoT was recently reported in an isometric reaching task without explicit reward [35].…”
Section: Introductionmentioning
confidence: 99%
“…Empirical evidence of such a subjective CoT was recently reported in an isometric reaching task without explicit reward [35]. Based on this premise, several computational models were developed to account for the vigor of individuals during walking [34] and reaching [20,29,31,35,36], from a similar minimum time-effort (MTE) principle. Estimation of the underlying CoT in reaching was obtained from point-to-point movements of various amplitudes, using effort costs traditionally represented in motor control [29,31], even though other factors such as accuracy or comfort may also modulate vigor in general [37][38][39][40][41].…”
Section: Introductionmentioning
confidence: 99%