Kager Simone, Hussain Asif, Cherpin Adele, Melendez-Calderon Alejandro, Takagi Atsushi, Endo Satoshi, Burdet Etienne, Hirche Sandra, Ang Marcelo H, Campolo Domenico
IEEE Int Conf Rehabil Robot. 2019 Jun;2019:824-829. doi: 10.1109/ICORR.2019.8779485.
Dyadic interaction between humans has gained great research interest in the last years. The effects of factors that influence the interaction, as e.g. roles or skill level matching, are still not well understood. In this paper, we further investigated the effect of skill level matching between partners on learning of a visuo-motor task. Understanding the effect of skill level matching is crucial for applications in collaborative rehabilitation. Fifteen healthy participants were asked to trace a path while being subjected to a visuo-motor rotation (Novice). The Novices were paired with a partner, forming one of the three Dyad Types: a) haptic connection to another Novice, b) haptic connection to an Expert (no visuo-motor rotation), or c) no haptic. The intervention consisted of a Familiarization phase, followed by a Training phase, in which the Novices were learning the task in the respective Dyad Type, and a Test phase in which the learning was assessed (haptic connection removed, if any). Results suggest that learning of the task with a haptic connection to an Expert was least beneficial. However, during the Training phase the dyads comprising an Expert clearly outperformed the dyads with matched skill levels. The results point towards the same direction as previous findings in literature and can be explained by current motor-learning theories. Future work needs to corroborate these preliminary results.
在过去几年中，人类之间的二元互动已引起了极大的研究兴趣。影响互动的因素，如角色或技能水平匹配等的作用，仍未得到充分理解。在本文中，我们进一步研究了合作伙伴之间技能水平匹配对视觉运动任务学习的影响。了解技能水平匹配的作用对于协作康复中的应用至关重要。15名健康参与者在接受视觉运动旋转时被要求追踪一条路径（新手）。新手与一名伙伴配对，形成三种二元类型之一：a）与另一名新手进行触觉连接，b）与一名专家进行触觉连接（无视觉运动旋转），或c）无触觉连接。干预包括一个熟悉阶段，随后是一个训练阶段，在此阶段新手在各自的二元类型中学习任务，以及一个测试阶段，在此阶段评估学习情况（如有触觉连接则移除）。结果表明，与专家进行触觉连接学习任务最无益处。然而，在训练阶段，由专家组成的二元组明显优于技能水平匹配的二元组。这些结果与文献中先前的发现指向同一方向，并且可以用当前的运动学习理论来解释。未来的工作需要证实这些初步结果。
