Focus and concentrate! exploring the use of conversational robot to improve self-learning performance during pandemic isolation by closed-loop brainwave neurofeedback

Ker Jiun Wang, Midori Sugaya

研究成果: Conference contribution

抄録

Recently, Human-Robot Interaction (HRI) researchers have paid lots of attentions on the conversational robots that can provide didactic or pedagogy teachings, especially for the children and young adolescents with cognitive disabilities, such as autism and epilepsy. The research and developments of such robots for educational purposes are investigated intensively. Above all the difficult challenges, how to evaluate the effectiveness of a conversational robot, which mimics a teacher communicating with a student, to improve the performance of learning and studying, is the key factor to deploy such robots in our society and be widely adopted. However, we haven't seen much investigation in previous literatures so far. In order to bridge the gap, this preliminary study had explored the use of conversational robot with electroencephalogram (EEG) biosignals as evidence measurements to improve the self-learning performance during COVID-19 pandemic crisis, while the schools are forced to close, and the students are inevitably segregated in social isolations. We had collected 10 student participants' EEG data, which were calculated to find concentration levels, and then the robot had conversations with the students adaptively according to his/her concentration levels. The result showed that the conversations between robot and humans, who are constantly not concentrating on the learning tasks, could effectively increase his/her level of concentrations.

本文言語English
ホスト出版物のタイトル2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
出版社IEEE Computer Society
ページ928-932
ページ数5
ISBN(電子版)9781728143378
DOI
出版ステータスPublished - 2021 5 4
イベント10th International IEEE/EMBS Conference on Neural Engineering, NER 2021 - Virtual, Online, Italy
継続期間: 2021 5 42021 5 6

出版物シリーズ

名前International IEEE/EMBS Conference on Neural Engineering, NER
2021-May
ISSN(印刷版)1948-3546
ISSN(電子版)1948-3554

Conference

Conference10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
国/地域Italy
CityVirtual, Online
Period21/5/421/5/6

ASJC Scopus subject areas

  • 人工知能
  • 機械工学

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