1989
DOI: 10.1037/0096-1523.15.3.507
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Hefting for a maximum distance throw: A smart perceptual mechanism.

Abstract: Objects for throwing to a maximum distance were selected by hefting objects varying in size and weight. Preferred weights increased with size reproducing size-weight illusion scaling between weight and volume. In maximum distance throws, preferred objects were thrown the farthest. Throwing was related to hefting as a smart perceptual mechanism. Two strategies for conveying high kinetic energy to projectiles were investigated by studying the kinematics of hefting light, preferred, and heavy objects. Changes in … Show more

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Cited by 80 publications
(115 citation statements)
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References 28 publications
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“…Furthermore, the well-known size-weight illusion may merely reflect a species specific adaptive tuning for the perception of object affordances for throwing (Bingham, et al, 1989;Zhu & Bingham 2011;Zhu, Shockley, Riley, Tolston & Bingham, 2013; see also Shockley, Carello & Turvey, 2004 for related work).…”
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confidence: 99%
“…Furthermore, the well-known size-weight illusion may merely reflect a species specific adaptive tuning for the perception of object affordances for throwing (Bingham, et al, 1989;Zhu & Bingham 2011;Zhu, Shockley, Riley, Tolston & Bingham, 2013; see also Shockley, Carello & Turvey, 2004 for related work).…”
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confidence: 99%
“…Bingham, Schmidt, and Rosenblum (1989) varied the sizes and masses of objects and asked participants to heft the objects and report which among a set of differently sized objects of the same mass could be thrown the farthest. The participants performed that perceptual task accurately.…”
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confidence: 99%
“…Bingham et al (1989) proposed a dynamic underpinning of this S-W relation for throwability. Optimal throwability means dynamically that the maximum kinetic energy can be transferred to the object from the wrist.…”
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confidence: 99%
“…Human arms can be thought of as masses connected by springs, whose frequency response makes the energy and the control required to move the arm vary with frequency [26]. Humans certainly learn to exploit the dynamics of their limbs for rhythmic tasks [42], [43]. Robotic examples of this idea include open-loop stable systems where the dynamics are exploited giving systems which require little or no active control for stable operation (e.g.…”
Section: B Tuning Of the Cpg Parametersmentioning
confidence: 99%