EngageMeter

Obtaining information about audience engagement in presentationsis a valuable asset for presenters in many domains. Priorliterature mostly utilized explicit methods of collecting feedbackwhich induce distractions, add workload on audience,and do not provide objective information to presenters. Wepresent EngageMeter – a system that allows fine-grained informationon audience engagement to be obtained implicitly frommultiple brain-computer interfaces (BCI) and to be fed backto presenters for real time and post-hoc access. Through evaluationduring an HCI conference (Naudience=11, Npresenters=3)we found that EngageMeter provides value to presenters (a) inreal-time, since it allows reacting to current engagement scoresby changing tone or adding pauses, and (b) post-hoc, since presenterscan adjust their slides and embed extra elements. Wediscuss how EngageMeter can be used in collocated and distributedaudience sensing as well as how it can aid presenters
in long term use.

Publikation

Mariam Hassib, Stefan Schneegass, Philipp Eiglsperger, Niels Henze, Albrecht Schmidt und Florian Alt. EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. CHI '17. ACM, New York, NY, USA. [Download Bibtex]