title: Toward 'optimal' schemes of robot assistance to facilitate motor skill learning.
abstract: We investigate whether and on what circumstances physical interaction with a robot may facilitate the acquisition of a novel motor skill. We focus on two different motor tasks: (i) intermanual transfer of cursive handwriting and (ii) acquisition of a putting skill. In the case of handwriting, we found that intermanual transfer is facilitated by forms of interaction that account for the temporal aspects of the movements. In the case of putting, we found that guidance is helpful in improving longitudinal error (a matter of speed accuracy), but not directional error (a matter of position accuracy). Based on these results, we draw some tentative conclusions on which tasks can benefit from guidance, and how robots should be programmed to maximize their effect.
authors.affiliation: Department of Informatics, Systems, and Telecommunications, University of Genoa, Via Opera Pia 13, 16145 Genoa, Italy. angelo.basteris@unige.it
authors.forename: Angelo
authors.initials: A
authors.lastname: Basteris
authors.forename: Vittorio
authors.initials: V
authors.lastname: Sanguineti
mesh_terms: D003194:Computer-Assisted Instruction / Q000379:methods*; D006801:Humans; D007858:Learning / Q000502:physiology*; D008328:Man-Machine Systems; D009048:Motor Skills / Q000502:physiology*; D012371:Robotics / Q000379:methods*