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Autoren:
Hassib, Mariam; Schneegass, Stefan; Eiglsperger, Philipp; Henze, Niels; Schmidt, Albrecht; Alt, Florian 
Dokumenttyp:
Konferenzbeitrag / Conference Paper 
Titel:
EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography 
Titel Konferenzpublikation:
CHI '17 
Untertitel Konferenzpublikation:
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems 
Konferenztitel:
CHI Conference on Human Factors in Computing Systems (2017, Denver, CO) 
Tagungsort:
Denver, Colorado, USA 
Jahr der Konferenz:
2017 
Verlagsort:
New York, NY, USA 
Verlag:
ACM 
Jahr:
2017 
Seiten von - bis:
5114-5119 
Sprache:
Englisch 
Stichwörter:
audience feedback ; bci ; eeg ; physiological sensing 
Abstract:
Obtaining information about audience engagement in presentations is a valuable asset for presenters in many domains. Prior literature mostly utilized explicit methods of collecting feedback which induce distractions, add workload on audience and do not provide objective information to presenters. We present EngageMeter - a system that allows fine-grained information on audience engagement to be obtained implicitly from multiple brain-computer interfaces (BCI) and to be fed back to presenters for...    »
 
ISBN:
978-1-4503-4655-9 
Article-ID:
3025669