Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback

Abstract Humans have the ability to use a diverse range of handheld tools. Owing to its versatility, a virtual environment with haptic feedback of the force is ideally suited to investigating motor learning during tool use. However, few simulators exist to recreate the dynamic interactions during re...

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Autores principales:	Atsushi Takagi, Giovanni De Magistris, Geyun Xiong, Alain Micaelli, Hiroyuki Kambara, Yasuharu Koike, Jonathan Savin, Jacques Marsot, Etienne Burdet
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0f91d907fe9846e6882c959c54627ccc
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spelling	oai:doaj.org-article:0f91d907fe9846e6882c959c54627ccc2021-12-02T11:57:56ZAnalogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback10.1038/s41598-020-79433-52045-2322https://doaj.org/article/0f91d907fe9846e6882c959c54627ccc2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79433-5https://doaj.org/toc/2045-2322Abstract Humans have the ability to use a diverse range of handheld tools. Owing to its versatility, a virtual environment with haptic feedback of the force is ideally suited to investigating motor learning during tool use. However, few simulators exist to recreate the dynamic interactions during real tool use, and no study has compared the correlates of motor learning between a real and virtual tooling task. To this end, we compared two groups of participants who either learned to insert a real or virtual tool into a fixture. The trial duration, the movement speed, the force impulse after insertion and the endpoint stiffness magnitude decreased as a function of trials, but they changed at comparable rates in both environments. A ballistic insertion strategy observed in both environments suggests some interdependence when controlling motion and controlling interaction, contradicting a prominent theory of these two control modalities being independent of one another. Our results suggest that the brain learns real and virtual insertion in a comparable manner, thereby supporting the use of a virtual tooling task with haptic feedback to investigate motor learning during tool use.Atsushi TakagiGiovanni De MagistrisGeyun XiongAlain MicaelliHiroyuki KambaraYasuharu KoikeJonathan SavinJacques MarsotEtienne BurdetNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Atsushi Takagi Giovanni De Magistris Geyun Xiong Alain Micaelli Hiroyuki Kambara Yasuharu Koike Jonathan Savin Jacques Marsot Etienne Burdet Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback
description	Abstract Humans have the ability to use a diverse range of handheld tools. Owing to its versatility, a virtual environment with haptic feedback of the force is ideally suited to investigating motor learning during tool use. However, few simulators exist to recreate the dynamic interactions during real tool use, and no study has compared the correlates of motor learning between a real and virtual tooling task. To this end, we compared two groups of participants who either learned to insert a real or virtual tool into a fixture. The trial duration, the movement speed, the force impulse after insertion and the endpoint stiffness magnitude decreased as a function of trials, but they changed at comparable rates in both environments. A ballistic insertion strategy observed in both environments suggests some interdependence when controlling motion and controlling interaction, contradicting a prominent theory of these two control modalities being independent of one another. Our results suggest that the brain learns real and virtual insertion in a comparable manner, thereby supporting the use of a virtual tooling task with haptic feedback to investigate motor learning during tool use.
format	article
author	Atsushi Takagi Giovanni De Magistris Geyun Xiong Alain Micaelli Hiroyuki Kambara Yasuharu Koike Jonathan Savin Jacques Marsot Etienne Burdet
author_facet	Atsushi Takagi Giovanni De Magistris Geyun Xiong Alain Micaelli Hiroyuki Kambara Yasuharu Koike Jonathan Savin Jacques Marsot Etienne Burdet
author_sort	Atsushi Takagi
title	Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback
title_short	Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback
title_full	Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback
title_fullStr	Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback
title_full_unstemmed	Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback
title_sort	analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/0f91d907fe9846e6882c959c54627ccc
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Analogous adaptations in speed, impulse and endpoint stiffness when learning a real and virtual insertion task with haptic feedback

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