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Increasing the Efficacy of Rehabilitation Protocols for Children via a Robotic Playmate Providing Real-time Corrective Feedback

机译:通过提供实时纠正反馈的机器人游戏,增加康复协议对儿童的康复协议的功效

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Previous studies have shown that external corrective feedback provided to individuals undergoing physical therapy sessions increases the efficacy of their intervention protocols, thus allowing for the individual to rapidly improve on their performance. However, direct feedback is typically provided by an expert therapist during weekly or monthly visits, which limits improvement on a daily basis. As such, we promote in-home rehabilitation protocols by developing a novel framework that couples serious games with a robotic playmate. After showing in a previous study that a combination of verbal and nonverbal cues is the most efficient method for providing guided instruction, we now show that the efficacy of the intervention protocols can be further increased by embedding human-like behaviors on the robotic platform such that it provides continuous feedback. This would allow user performance to improve at each iteration of feedback and, ultimately, reach an individualized performance goal. To show that users can reach a reference point for a given kinematic parameter, we recruited adults and children to interact with our system. Results from the first round of experiments show that adults who received feedback from an embodied agent need less trials on average to reach their performance goals than the adults who received feedback from a virtual agent. Results from the second round of experiments further support our hypothesis by showing that children also reach their performance goals by receiving feedback from the robotic playmate. We conclude that coupling existing serious games with an embodied robotic agent has the potential of increasing the efficacy of intervention protocols by allowing for use outside the clinical setting thus increasing users' rate of improvement.
机译:以前的研究表明,提供给接受物理治疗会话的个体的外部纠正反馈会增加其干预协议的功效,从而允许个人迅速提高其性能。然而,直接反馈通常由专家治疗师提供每周或每月访问,这限制了日常的改进。因此,我们通过开发一种新颖的框架,促进家庭康复协议,这些框架与机器人玩伴夫妇进行严肃的比赛。在以前的研究中显示出言语和非语言提示的组合是提供引导指令的最有效的方法,我们现在表明,通过将人类的行为嵌入机器人平台上,可以进一步增加干预协议的功效它提供了连续反馈。这将允许用户性能在每次反馈的每个迭代中提高,并最终达到个性化性能目标。为了表明用户可以达到给定的运动参数的参考点,我们招募了成年人和儿童与我们的系统互动。第一轮实验的结果表明,收到来自体现代理的反馈的成年人平均需要较少的试验,以达到其比来自虚拟代理商反馈的成年人的绩效目标。第二轮实验的结果进一步支持我们的假设,通过表示儿童通过接收机器人玩伴的反馈来达到其性能目标。我们得出结论,通过允许在临床环境之外使用,耦合具有所体现的机器人的现有严肃游戏具有增加干预方案的疗效,从而提高用户的改善率。

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