Logo des Repositoriums
 

MindTrain: How to Train your Mind with Interactive Technologies

dc.contributor.authorKosuru, Ravi Kanth
dc.contributor.authorLingelbach, Katharina
dc.contributor.authorBui, Michael
dc.contributor.authorVukelić, Mathias
dc.contributor.editorAlt, Florian
dc.contributor.editorBulling, Andreas
dc.contributor.editorDöring, Tanja
dc.date.accessioned2019-08-22T04:36:44Z
dc.date.available2019-08-22T04:36:44Z
dc.date.issued2019
dc.description.abstractTechnological products for training the mind that support subjective well-being are gaining popularity in our daily lives. Using Electroencephalographic (EEG) signals for neurofeedback is helpful for learning and a promising approach to train the mind. We introduce MindTrain, a novel, gamified neurofeedback training environment that allows users to learn the skill to voluntarily self-regulate their brain activity in Virtual Reality (VR). MindTrain combines the concept of implicit control with a mobile consumer EEG-wearable in an interactive and immersive VR-environment for visualising the feedback. We tested the feasibility of MindTrain for training to control states of relaxation and concentration. Our results prove that MindTrain is a promising novel method and a proposal that warrants further investigation within a larger study. Furthermore, the use of the mobile EEG-wearable demonstrates the potential for bringing MindTrain out of the laboratory into a real-world context.en
dc.description.urihttps://dl.acm.org/authorize?N681204
dc.identifier.doi10.1145/3340764.3344884
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24656
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2019 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectElectroencephalography
dc.subjectBrain-Computer Interface
dc.subjectNeurofeedback
dc.subjectVirtual Reality
dc.subjectGamification
dc.titleMindTrain: How to Train your Mind with Interactive Technologiesen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.conference.date8.-11. September 2019
gi.conference.locationHamburg
gi.conference.sessiontitleMCI: Short Paper (Poster)
gi.document.qualitydigidoc

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
poster-488.pdf
Größe:
839.79 KB
Format:
Adobe Portable Document Format