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Effectiveness of the Alpha Calibration with a Brain-Computer Interface for College Students

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UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

Pages 960 - 963

https://doi.org/10.1145/3267305.3267690

Published: 08 October 2018 Publication History

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Abstract

During college, students make important decisions that will affect the rest of their life while also dealing with the burdens of social and academic expectations, often while living alone for the first time. For these reasons, stress deteriorates mental health and ability to relax. Meditation has been shown to reduce stress and mitigate its negative effects. EEG activity in the alpha spectrum has been shown to increase during meditative sessions and has been linked to feelings of relaxation. In this study, students without being given training in meditative practices, are asked to try to clear their mind and meditate for 10 minutes. Participants were also given a questionnaire to help determine if they were able to clear their thoughts. Results show that 77.14% of participants were not able to clear their mind for proper meditation. This shows that students do not usually have a natural ability to relax and meditate.

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Cited By

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Jamil NBelkacem AOuhbi SGuger C(2021)Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2021.31152639(134122-134147)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3115263
Soni AShete Svan den Hoven ELoke LShaer Ovan Dijk JKun A(2020)Mixed Reality for Stress ReliefProceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3374920.3374996(937-942)Online publication date: 9-Feb-2020
https://dl.acm.org/doi/10.1145/3374920.3374996

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Effectiveness of the Alpha Calibration with a Brain-Computer Interface for College Students
1. Human-centered computing
  1. Human computer interaction (HCI)

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UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

October 2018

1881 pages

ISBN:9781450359665

DOI:10.1145/3267305

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 08 October 2018

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UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing

October 8 - 12, 2018

Singapore, Singapore

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Jamil NBelkacem AOuhbi SGuger C(2021)Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2021.31152639(134122-134147)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3115263
Soni AShete Svan den Hoven ELoke LShaer Ovan Dijk JKun A(2020)Mixed Reality for Stress ReliefProceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3374920.3374996(937-942)Online publication date: 9-Feb-2020
https://dl.acm.org/doi/10.1145/3374920.3374996

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