Motor Learning in Robot-Based Haptic Dyads: A Review

IF 2.4 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

IEEE Transactions on Haptics Pub Date : 2024-03-19 DOI:10.1109/TOH.2024.3379035

Erica L. Waters;Michelle J. Johnson

{"title":"Motor Learning in Robot-Based Haptic Dyads: A Review","authors":"Erica L. Waters;Michelle J. Johnson","doi":"10.1109/TOH.2024.3379035","DOIUrl":null,"url":null,"abstract":"Rehabilitation robots have the potential to alleviate the global burden of neurorehabilitation. Robot-based multiplayer gaming with virtual and haptic interaction may improve motivation, engagement, and implicit learning in robotic therapy. Over the past few years, there has been growing interest in robot mediated haptic dyads, or human-robot-robot-human interaction. The effect of such a paradigm on motor learning in general and specifically for individuals with motor and/or cognitive impairments is an open area of research. We reviewed the literature to investigate the effect of a robot-based haptic dyad on motor learning. Thirty-eight articles met the inclusion criteria for this review. We summarize study characteristics including device, haptic rendering, and experimental task. Our main findings indicate that dyadic training's impact on motor learning is inconsistent in that some studies show significant improvement of motor training while others show no influence. We also find that the relative skill level of the partner and interaction characteristics such as stiffness of connection and availability of visual information influence motor learning outcomes. We discuss implications for neurorehabilitation and conclude that additional research is needed to determine optimal interaction characteristics for motor learning and to extend this research to individuals with cognitive and motor impairments.","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"17 4","pages":"510-527"},"PeriodicalIF":2.4000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Haptics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10475556/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}

引用次数: 0

Abstract

Rehabilitation robots have the potential to alleviate the global burden of neurorehabilitation. Robot-based multiplayer gaming with virtual and haptic interaction may improve motivation, engagement, and implicit learning in robotic therapy. Over the past few years, there has been growing interest in robot mediated haptic dyads, or human-robot-robot-human interaction. The effect of such a paradigm on motor learning in general and specifically for individuals with motor and/or cognitive impairments is an open area of research. We reviewed the literature to investigate the effect of a robot-based haptic dyad on motor learning. Thirty-eight articles met the inclusion criteria for this review. We summarize study characteristics including device, haptic rendering, and experimental task. Our main findings indicate that dyadic training's impact on motor learning is inconsistent in that some studies show significant improvement of motor training while others show no influence. We also find that the relative skill level of the partner and interaction characteristics such as stiffness of connection and availability of visual information influence motor learning outcomes. We discuss implications for neurorehabilitation and conclude that additional research is needed to determine optimal interaction characteristics for motor learning and to extend this research to individuals with cognitive and motor impairments.

查看原文本刊更多论文

基于机器人的触觉二人组中的运动学习：综述

康复机器人有可能减轻全球神经康复的负担。基于机器人的多人游戏与虚拟和触觉互动可以提高动机，参与和内隐学习的机器人治疗。在过去的几年里，人们对机器人介导的触觉二元体或人-机器人-机器人-人类互动越来越感兴趣。这种模式对运动学习的总体影响，特别是对运动和/或认知障碍个体的影响，是一个开放的研究领域。我们回顾了文献来研究基于机器人的触觉对运动学习的影响。38篇文章符合本综述的纳入标准。我们总结了研究的特点，包括设备、触觉渲染和实验任务。我们的主要研究结果表明，二元训练对运动学习的影响是不一致的，一些研究显示运动训练有显著的改善，而另一些研究显示没有影响。我们还发现，同伴的相对技能水平和互动特征，如连接的僵硬性和视觉信息的可用性影响运动学习结果。我们讨论了对神经康复的影响，并得出结论，需要进一步的研究来确定运动学习的最佳相互作用特征，并将这项研究扩展到认知和运动障碍患者。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Haptics COMPUTER SCIENCE, CYBERNETICS-

CiteScore

5.90

自引率

13.80%

发文量

109

审稿时长

>12 weeks

期刊介绍： IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.