A Passive Brain-Computer Interface for Monitoring Engagement during Robot-Assisted Language Learning

Jos Prinsen, Ethel Pruss, Anita Vrins, Caterina Ceccato, Maryam Alimardani

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Brain Computer Interface (BCI) technology offers the possibility to monitor users' attention and engagement during learning tasks, enabling adaptation of pedagogical strategies for a personalized learning experience. In this paper, we present an EEG-based passive BCI system for real-time evaluation of user engagement during a language learning task. The EEG Engagement Index, which has been previously associated with attention and vigilance, is measured from three frontal electrodes and used in this system as a neural indicator of engagement. To validate our system, we used it in a human-robot interaction (HRI) setting, in which a robot tutor monitored the learner's brain activity and adapted its tutoring strategy when a lapse in engagement was detected. We discuss the challenges and preliminary results from our pilot study with eight participants.
Original languageEnglish
Title of host publication2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1967-1972
ISBN (Electronic)9781665452588
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Prague, Czech Republic
Duration: 9 Oct 202212 Oct 2022

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
Country/TerritoryCzech Republic
CityPrague
Period9/10/2212/10/22

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