The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning

被引:46
作者
Alimardani, Maryam [1 ]
Nishio, Shuichi [2 ]
Ishiguro, Hiroshi [2 ,3 ]
机构
[1] Univ Tokyo, Grad Sch Arts & Sci, Dept Gen Syst Studies, Tokyo, Japan
[2] Adv Telecommun Res Inst Int ATR, Kyoto, Japan
[3] Osaka Univ, Grad Sch Engn Sci, Dept Syst Innovat, Osaka, Japan
关键词
BRAIN-COMPUTER INTERFACE; MIRROR-NEURON SYSTEM; MU-RHYTHM; HUMANOID ROBOT; SSVEP BCI; EEG; CLASSIFICATION; PROSTHESIS; OWNERSHIP; MOVEMENT;
D O I
10.1371/journal.pone.0161945
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
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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页数:17
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