TY - GEN
T1 - A Novel Neurofeedback Attentional Enhancement Approach Based on Virtual Reality
AU - Lu, Kai
AU - Yueh, Kang
AU - Hu, Haochen
AU - Guo, Mei
AU - Liu, Yue
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Attention enhancement can not only improve individual's study and work performance, but also help to improve such psychological problems as anxiety and depression. Traditional attention enhancement approaches have high requirements on the external environment, and thus have such limitations as long intervention periods, high costs, poor universality, and insignificant therapeutic effects. Virtual Reality (VR) can provide interactive and immersive environments, which can help to break through these limitations and effectively enhance users' attention. In this paper, we propose a novel neurofeedback attentional enhancement approach based on VR. The proposed approach utilizes the band power in the parieto-occipital regions of the brain as an neurofeedback index of the users' attention, and prompts users by changing the attributes of the VR environment. Statistical results show that the band power reduces significantly in neurofeedback group compared with that in control group. Accordingly, task performances in neruofeedback group are improved by 6.44% compared with those of control group. Our results provided evidence for the effectiveness of neurofeedback on VR training environment.
AB - Attention enhancement can not only improve individual's study and work performance, but also help to improve such psychological problems as anxiety and depression. Traditional attention enhancement approaches have high requirements on the external environment, and thus have such limitations as long intervention periods, high costs, poor universality, and insignificant therapeutic effects. Virtual Reality (VR) can provide interactive and immersive environments, which can help to break through these limitations and effectively enhance users' attention. In this paper, we propose a novel neurofeedback attentional enhancement approach based on VR. The proposed approach utilizes the band power in the parieto-occipital regions of the brain as an neurofeedback index of the users' attention, and prompts users by changing the attributes of the VR environment. Statistical results show that the band power reduces significantly in neurofeedback group compared with that in control group. Accordingly, task performances in neruofeedback group are improved by 6.44% compared with those of control group. Our results provided evidence for the effectiveness of neurofeedback on VR training environment.
UR - http://www.scopus.com/inward/record.url?scp=85138127830&partnerID=8YFLogxK
U2 - 10.1109/EMBC48229.2022.9871019
DO - 10.1109/EMBC48229.2022.9871019
M3 - Conference contribution
C2 - 36085813
AN - SCOPUS:85138127830
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 5140
EP - 5143
BT - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Y2 - 11 July 2022 through 15 July 2022
ER -