Length Perception by Dynamic Touch: The Effects of Aging and Experience

Chang, Chih Hui; Wade, Michael G.; Stoffregen, Thomas A.; Ho, H. Y.

doi:10.1093/geronb/63.3.p165

Cited by 15 publications

(12 citation statements)

References 25 publications

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“…performance was greater for participants who had previous experience with similar tasks from their everyday life (Chang et al, 2008).…”

Section: Rosenbergmentioning

confidence: 90%

“…The expectations regarding the performance of size evaluation may be partially accounted for by reference to the ecological perspec-tive (Chang Wade, Stoffregen, & Ho, 2008; see also Gibson & Pick, 2000). In accordance with this perspective, the experience acquired at performing similar tasks in the past is a key factor in the accuracy of size assessment.…”

Section: Accuracy Of Imagery Operationsmentioning

confidence: 99%

See 1 more Smart Citation

Mental Size Scaling of Three-Dimensional Objects Perceived Visually or Tactilely

Szubielska¹,

Bałaj²

2018

ACP

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“…performance was greater for participants who had previous experience with similar tasks from their everyday life (Chang et al, 2008).…”

Section: Rosenbergmentioning

confidence: 90%

Section: Accuracy Of Imagery Operationsmentioning

confidence: 99%

Mental Size Scaling of Three-Dimensional Objects Perceived Visually or Tactilely

Szubielska¹,

Bałaj²

2018

ACP

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“…For example, expertise in racquet sports and golf modulates β (i.e., the amount of underestimation) in distance perception (Chang, Wade, Stoffregen, & Ho, 2008), whereas music expertise decreases σ in time perception (Grondin & Killeen, 2009;Madison, 2014). Developmentally, the σ of approximate number estimation improves with age Halberda, Ly, Wilmer, Naiman, & Germine, 2012;Halberda, Mazzocco, & Feigenson, 2008;Odic et al, 2013), and individual differences in σ correlate with math performance prior to and after schooling, even when other cognitive and perceptual abilities are controlled for Libertus, Feigenson, & Halberda, 2011;Libertus, Odic, & Halberda, 2012).…”

mentioning

confidence: 99%

PsiMLE: A maximum-likelihood estimation approach to estimating psychophysical scaling and variability more reliably, efficiently, and flexibly

Odic

Eisinger

et al. 2015

Behav Res

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A simple and popular psychophysical model-usually described as overlapping Gaussian tuning curves arranged along an ordered internal scale-is capable of accurately describing both human and nonhuman behavioral performance and neural coding in magnitude estimation, production, and reproduction tasks for most psychological dimensions (e.g., time, space, number, or brightness). This model traditionally includes two parameters that determine how a physical stimulus is transformed into a psychological magnitude: (1) an exponent that describes the compression or expansion of the physical signal into the relevant psychological scale (β), and (2) an estimate of the amount of inherent variability (often called internal noise) in the Gaussian activations along the psychological scale (σ). To date, linear slopes on log-log plots have traditionally been used to estimate β, and a completely separate method of averaging coefficients of variance has been used to estimate σ. We provide a respectful, yet critical, review of these traditional methods, and offer a tutorial on a maximum-likelihood estimation (MLE) and a Bayesian estimation method for estimating both β and σ [PsiMLE(β,σ)], coupled with free software that researchers can use to implement it without a background in MLE or Bayesian statistics (R-PsiMLE). We demonstrate the validity, reliability, efficiency, and flexibility of this method through a series of simulations and behavioral experiments, and find the new method to be superior to the traditional methods in all respects.

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“…Relative to real rackets measures, both children and elderlies significantly underestimated racket length (t(29) = 16.37, p < 0.001, t(36) = 16.11, p < 0.001, respectively), and center of percussion location (t(29) = 20.93, p < 0.001, t(36) = 10.50, p < 0.001, respectively). Probably, elderlies motor experience allowed them to be closer to real racket properties than children (Chang, Wade, Stoffregen, & Ho, 2008); however, the lightness of the Badminton racket may have affected both age groups (Beak et al, 2000).…”

Section: Resultsmentioning

confidence: 99%

Haptic Perception of Physical and Functional Properties of Table Tennis and Badminton Rackets in Children and Elderly

Ferreira¹,

Chelo²

2019

JPR

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The haptic perception affords detection of the physical and functional properties of an instrument actively sustained.Fifty-seven children (8.82 ± 0.38 years old) and 64 elderlies (71.3 ± 4.46 years old) estimated the length and the distance of the center of percussion for two table tennis rackets and a badminton racket. The eigenvalues of each racket for length and distance from the wrist to the center of percussion were calculated. The present study confirmed the results obtained with field tennis rackets, extending them to table tennis and badminton rackets, and also to children. The elderlies preserved and children had the capacity of haptically detect physical and functional properties of table tennis and badminton rackets. The weight of the rackets affected properties estimations. The eigenvalues may be a valid tool for the definition of physical and functional properties of sport instruments, allowing better adjustment to different motor development stages.

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Length Perception by Dynamic Touch: The Effects of Aging and Experience

Cited by 15 publications

References 25 publications

Mental Size Scaling of Three-Dimensional Objects Perceived Visually or Tactilely

Mental Size Scaling of Three-Dimensional Objects Perceived Visually or Tactilely

PsiMLE: A maximum-likelihood estimation approach to estimating psychophysical scaling and variability more reliably, efficiently, and flexibly

Haptic Perception of Physical and Functional Properties of Table Tennis and Badminton Rackets in Children and Elderly

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