MYND: A Platform for Large-scale Neuroscientific Studies

Matthias R. Hohmann, Michelle Hackl, Brian Wirth, Talha Zamann, Raffi Enficiaud, Moritz Grosse-Wentrup, Bernhard Schölkopf

Veröffentlichungen: Beitrag zu KonferenzPaperPeer Reviewed


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.

PublikationsstatusVeröffentlicht - 2 Mai 2019
Veranstaltung2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, Großbritannien / Vereinigtes Königreich
Dauer: 4 Mai 20199 Mai 2019


Konferenz2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
Land/GebietGroßbritannien / Vereinigtes Königreich

ÖFOS 2012

  • 206001 Biomedizinische Technik