@article{Avila-Mireles2016g,
abstract = {Physical interaction between man and machines is increasing the interest of the research as well as the industrial community. It is known that physical coupling between active persons can be beneficial and increase the performance of the dyad compared to an individual. However, the factors that may result in performance benefits are still poorly understood. The aim of this work is to investigate how the different initial skill levels of the interacting partners influence the learning of a stabilization task. Twelve subjects, divided in two groups, trained in couples in a joint stabilization task. In the first group the couples were composed of two naive, while in the second a naive was trained together with an expert. Results show that training with an expert results in the greatest performance in the joint task. However, this benefit is not transferred to the individual when performing the same task bimanually.},
author = {Avila-Mireles, Edwin Johnatan and {De Santis}, Dalia and Morasso, Pietro and Zenzeri, Jacopo},
doi = {10.1109/EMBC.2016.7591154},
issn = {1557170X},
journal = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS},
keywords = {Human Motor Control, Sensorimotor Learning, Physical Human Robot Interaction},
pages = {2149-2152},
title = {{Transferring knowledge during dyadic interaction: The role of the expert in the learning process}},
url={https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7591154},
volume = {2016-Octob},
year = {2016}
}