The effect of force feedback delay on stiffness perception and grip force modulation during tool-mediated interaction with elastic force fields.
Identifieur interne : 000407 ( PubMed/Curation ); précédent : 000406; suivant : 000408The effect of force feedback delay on stiffness perception and grip force modulation during tool-mediated interaction with elastic force fields.
Auteurs : Raz Leib [Israël] ; Amir Karniel [Israël] ; Ilana Nisky [Israël]Source :
- Journal of neurophysiology [ 1522-1598 ] ; 2015.
English descriptors
- KwdEn :
- MESH :
- innervation : Shoulder, Wrist.
- physiology : Hand Strength, Movement, Perception, Psychomotor Performance, Weight-Bearing.
- Adult, Analysis of Variance, Feedback, Female, Humans, Male, Time Factors, Young Adult.
Abstract
During interaction with objects, we form an internal representation of their mechanical properties. This representation is used for perception and for guiding actions, such as in precision grip, where grip force is modulated with the predicted load forces. In this study, we explored the relationship between grip force adjustment and perception of stiffness during interaction with linear elastic force fields. In a forced-choice paradigm, participants probed pairs of virtual force fields while grasping a force sensor that was attached to a haptic device. For each pair, they were asked which field had higher level of stiffness. In half of the pairs, the force feedback of one of the fields was delayed. Participants underestimated the stiffness of the delayed field relatively to the nondelayed, but their grip force characteristics were similar in both conditions. We analyzed the magnitude of the grip force and the lag between the grip force and the load force in the exploratory probing movements within each trial. Right before answering which force field had higher level of stiffness, both magnitude and lag were similar between delayed and nondelayed force fields. These results suggest that an accurate internal representation of environment stiffness and time delay was used for adjusting the grip force. However, this representation did not help in eliminating the bias in stiffness perception. We argue that during performance of a perceptual task that is based on proprioceptive feedback, separate neural mechanisms are responsible for perception and action-related computations in the brain.
DOI: 10.1152/jn.00229.2014
PubMed: 25717155
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pubmed:25717155Le document en format XML
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<front><div type="abstract" xml:lang="en">During interaction with objects, we form an internal representation of their mechanical properties. This representation is used for perception and for guiding actions, such as in precision grip, where grip force is modulated with the predicted load forces. In this study, we explored the relationship between grip force adjustment and perception of stiffness during interaction with linear elastic force fields. In a forced-choice paradigm, participants probed pairs of virtual force fields while grasping a force sensor that was attached to a haptic device. For each pair, they were asked which field had higher level of stiffness. In half of the pairs, the force feedback of one of the fields was delayed. Participants underestimated the stiffness of the delayed field relatively to the nondelayed, but their grip force characteristics were similar in both conditions. We analyzed the magnitude of the grip force and the lag between the grip force and the load force in the exploratory probing movements within each trial. Right before answering which force field had higher level of stiffness, both magnitude and lag were similar between delayed and nondelayed force fields. These results suggest that an accurate internal representation of environment stiffness and time delay was used for adjusting the grip force. However, this representation did not help in eliminating the bias in stiffness perception. We argue that during performance of a perceptual task that is based on proprioceptive feedback, separate neural mechanisms are responsible for perception and action-related computations in the brain.</div>
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