title: Grasping in absence of feedback: systematic biases endure extensive training.
abstract: Reach-to-grasp movements performed without visual and haptic feedback of the hand are subject to systematic inaccuracies. Grasps directed at an object specified by binocular information usually end at the wrong distance with an incorrect final grip aperture. More specifically, moving the target object away from the observer leads to increasingly larger undershoots and smaller grip apertures. These systematic biases suggest that the visuomotor mapping is based on inaccurate estimates of an object's egocentric distance and 3D structure that compress the visual space. Here we ask whether the appropriate visuomotor mapping can be learned through an extensive exposure to trials where haptic and visual feedback of the hand is provided. By intermixing feedback trials with test trials without feedback, we aimed at maximizing the likelihood that the motor execution of test trials is positively influenced by that of preceding feedback trials. We found that the intermittent presence of feedback trials both (1) largely reduced the positioning error of the hand with respect to the object and (2) affected the shaping of the hand before the final grasp, leading to an overall more accurate performance. While this demonstrates an effective transfer of information from feedback trials to test trials, the remaining biases indicate that a compression of visual space is still taking place. The correct visuomotor mapping, therefore, could not be learned. We speculate that an accurate reconstruction of the scene at movement onset may not actually be needed. Instead, the online monitoring of the hand position relative to the object and the final contact with the object are sufficient for a successful execution of a grasp.
authors.affiliation: Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia (IIT), Corso Bettini, 31, 38068, Rovereto, TN, Italy. chiara.bozzacchi@iit.it.
authors.forename: Chiara
authors.initials: C
authors.lastname: Bozzacchi
authors.affiliation: Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia (IIT), Corso Bettini, 31, 38068, Rovereto, TN, Italy.
authors.forename: Robert
authors.initials: R
authors.lastname: Volcic
authors.affiliation: Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia (IIT), Corso Bettini, 31, 38068, Rovereto, TN, Italy.|Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI, 02912, USA.
authors.forename: Fulvio
authors.initials: F
authors.lastname: Domini
mesh_terms: D000328:Adult; D002138:Calibration; D056228:Feedback, Sensory / Q000502:physiology*; D005260:Female; D006801:Humans; D007858:Learning / Q000502:physiology*; D008297:Male; D009043:Motor Activity / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology*; D055698:Touch Perception / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult
keywords: Calibration; Grasping; Haptic feedback; Visual feedback; Visuomotor learning