The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning.
The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning.
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DOI：
10.1371/journal.pone.0161945
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Ishiguro H
中科院分区：
文献类型：
--
作者：
Alimardani M;Nishio S;Ishiguro H
脑机接口（BCI）作为人脑与外部设备之间的一种新的通信通道，已经在许多领域得到了发展和实现。尽管其快速增长和广泛流行，但用户培训的不准确性能和成本仍然是阻止其在研究和临床环境中应用的主要问题。我们之前介绍了一个脑机接口系统来控制一个非常像人的机器人，它可以通过想象一个动作（运动想象）并观看机器人执行来提高操作者的身体感和代理感。同样使用相同的设置，我们进一步发现受试者表现的积极偏向既增加了他们的身体感，又在短时间内提高了他们的运动想象技能。在这项工作中，我们研究的共享机制之间的体现和运动想象的经验。我们比较了两组受试者BCI操作不同外观的机器人时运动想象学习的趋势，一个非常像人类的机器人的手和一对金属夹具。虽然我们的实验并没有显示出两组人在一次训练中的学习效果有明显的变化，但是当两组人都使用非人类的抓手重复这项任务时，机器人组在后续训练中表现出了更好的运动想象技能。这一结果表明，在BCI操作的类人手的运动想象技能学习更强大的时间和视觉反馈的变化。我们讨论了体现和镜像神经元系统在这样的结果中的作用，并提出了应用机器人进行有效的BCI训练。
Brain computer interfaces (BCIs) have been developed and implemented in many areas as a new communication channel between the human brain and external devices. Despite their rapid growth and broad popularity, the inaccurate performance and cost of user-training are yet the main issues that prevent their application out of the research and clinical environment. We previously introduced a BCI system for the control of a very humanlike android that could raise a sense of embodiment and agency in the operators only by imagining a movement (motor imagery) and watching the robot perform it. Also using the same setup, we further discovered that the positive bias of subjects’ performance both increased their sensation of embodiment and improved their motor imagery skills in a short period. In this work, we studied the shared mechanism between the experience of embodiment and motor imagery. We compared the trend of motor imagery learning when two groups of subjects BCI-operated different looking robots, a very humanlike android’s hands and a pair of metallic gripper. Although our experiments did not show a significant change of learning between the two groups immediately during one session, the android group revealed better motor imagery skills in the follow up session when both groups repeated the task using the non-humanlike gripper. This result shows that motor imagery skills learnt during the BCI-operation of humanlike hands are more robust to time and visual feedback changes. We discuss the role of embodiment and mirror neuron system in such outcome and propose the application of androids for efficient BCI training.
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作者：
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