Dynamic Touch

Turvey, M. T.; Carello, Claudia

doi:10.1016/b978-012240530-3/50013-4

Cited by 151 publications

(157 citation statements)

References 95 publications

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“…Intriguingly, when interacting with novel objects, people seem to learn to predict the behaviour of the objects before they can master its control 47 . For real balancing of a pole on the fingertip, Lee and colleagues 44 suggested that subjects acquire an accurate pendulum model, which accounts for the gravitational dynamics and mass distribution along the pole, already within the first moments of wielding the pole through "dynamic touch" 51 . On the other hand, changes to the object dynamics, such as increments in gravity in our experiment, result in inaccurate extrapolations of the system's state, which primarily leads to deteriorated performance (Fig 5 A).…”

Section: The Adaptation Of Forward Models During the Gradual Increasementioning

confidence: 99%

Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics

Ludolph

Giese

Ilg

2017

Preprint

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There is increasing evidence that sensorimotor learning under real-life conditions relies on a composition of several learning processes. Nevertheless, most studies examine learning behaviour in relation to one specific learning mechanism. In this study, we examined the interaction between reward-based skill acquisition and motor adaptation to changes of object dynamics. Thirty healthy subjects, split into two groups, acquired the skill of balancing a pole on a cart in virtual reality. In one group, we gradually increased the gravity, making the task easier in the beginning and more difficult towards the end. In the second group, subjects had to acquire the skill on the maximum, most difficult gravity level. We hypothesized that the gradual increase in gravity during skill acquisition supports learning despite the necessary adjustments to changes in cart-pole dynamics. We found that the gradual group benefits from the slow increment, although overall improvement was interrupted by the changes in gravity and resulting system dynamics, which caused short-term degradations in performance and timing of actions. In conclusion, our results deliver evidence for an interaction of reward-based skill acquisition and motor adaptation processes, which indicates the importance of both processes for the development of optimized skill acquisition schedules.not peer-reviewed)

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Section: The Adaptation Of Forward Models During the Gradual Increasementioning

confidence: 99%

Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics

Ludolph

Giese

Ilg

2017

Preprint

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“…O'Shaughnessy, in particular, 16 Another example is perceiving the length, width, and shape of an object by holding it and moving it about in one's hand. For a review, see Turvey 1996. seems to have seen the model as applying only to the 'unit case' of static contact on a small area of skin, as well as to simple shapes perceived via one's identically-shaped movements (2000: 667).…”

Section: Mirroring ⁄ Matchingmentioning

confidence: 99%

Bodily Sensation and Tactile Perception

Richardson

2011

Philos Phenomenol Research

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“…Moreover, from a Gibsonian perspective one would search for the invariances in the ambient array and how this information specifies an action (cf. Michaels, Zeinstra, & Oudejans, 2001;Turvey, 1996). As Warren (1984) did for the stair climbing task, we could search the invariant that observers use in our task.…”

Section: Categorizing Imagined Actionsmentioning

confidence: 99%

A non-representational approach to imagined action

2002

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This study addresses the dynamical nature of a "representation-hungry" cognitive task involving an imagined action. In our experiment, participants were handed rods that systematically increased or decreased in length on subsequent trials. Participants were asked to judge whether or not they thought they could reach for a distant object with the hand-held rod. The results are in agreement with a dynamical model, extended from Tuller, Case, Ding, and Kelso (1994). The dynamical effects observed in this study suggest that predictive judgments regarding the possibility or impossibility of a certain action can be understood in terms of dynamically evolving basins of attraction instead of as depending on representational structures.

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Dynamic Touch

Cited by 151 publications

References 95 publications

Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics

Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics

Bodily Sensation and Tactile Perception

A non-representational approach to imagined action

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