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MYND: A Platform for Large-scale Neuroscientific Studies

Published: 02 May 2019 Publication History

Abstract

We present a smartphone application for at-home participation in large-scale neuroscientific studies. Our goal is to establish user-experience design as a paradigm in basic neuroscientific research to overcome the limits of current studies, especially in rare neurological disorders.The presented application guides users through the fitting procedure of the EEG headset and automatically encrypts and uploads recorded data to a remote server. User-feedback and neurophysiological data from a pilot study with eighteen subjects indicate that the application can be used outside of a laboratory, without the need for external guidance. We hope to inspire future work on the intersection between basic neuroscience and human-computer interaction as a promising paradigm to accelerate research on rare neurological diseases and assistive neurotechnology.

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Cited By

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  • (2024)OpenBCI Meets the Web: A Scalable, Customizable Platform for Open-Source EEG Data CollectionCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678482(925-929)Online publication date: 5-Oct-2024
  • (2022)Sans Tracas: A Cross-platform Tool for Online EEG Experiments.Companion of the 2022 ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3531706.3536461(37-43)Online publication date: 21-Jun-2022
  • (2019)Workshops of the seventh international brain-computer interface meeting: not getting lost in translationBrain-Computer Interfaces10.1080/2326263X.2019.16971636:3(71-101)Online publication date: 10-Dec-2019

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  1. MYND: A Platform for Large-scale Neuroscientific Studies

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    cover image ACM Conferences
    CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
    May 2019
    3673 pages
    ISBN:9781450359719
    DOI:10.1145/3290607
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 02 May 2019

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    Author Tags

    1. big data
    2. electrophysiology
    3. medical studies
    4. neuroscience
    5. smartphone application
    6. user-centered design
    7. wearable sensors

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    • Max-Planck-Gesellschaft

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    View all
    • (2024)OpenBCI Meets the Web: A Scalable, Customizable Platform for Open-Source EEG Data CollectionCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678482(925-929)Online publication date: 5-Oct-2024
    • (2022)Sans Tracas: A Cross-platform Tool for Online EEG Experiments.Companion of the 2022 ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3531706.3536461(37-43)Online publication date: 21-Jun-2022
    • (2019)Workshops of the seventh international brain-computer interface meeting: not getting lost in translationBrain-Computer Interfaces10.1080/2326263X.2019.16971636:3(71-101)Online publication date: 10-Dec-2019

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