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Authors:
Hassib, Mariam; Schneegass, Stefan; Eiglsperger, Philipp; Henze, Niels; Schmidt, Albrecht; Alt, Florian 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography 
Title of conference publication:
CHI '17 
Subtitle of conference publication:
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems 
Conference title:
CHI Conference on Human Factors in Computing Systems (2017, Denver, CO) 
Venue:
Denver, Colorado, USA 
Year of conference:
2017 
Place of publication:
New York, NY, USA 
Publisher:
ACM 
Year:
2017 
Pages from - to:
5114-5119 
Language:
Englisch 
Keywords:
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