EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography

論文URL:http://dl.acm.org/citation.cfm?doid=3025453.3025669

論文アブストラクト: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 real time and post-hoc access. Through evaluation during an HCI conference (Naudience=11, Npresenters=3) we found that EngageMeter provides value to presenters (a) in real-time, since it allows reacting to current engagement scores by changing tone or adding pauses, and (b) in post-hoc, since presenters can adjust their slides and embed extra elements. We discuss how EngageMeter can be used in collocated and distributed audience sensing as well as how it can aid presenters in long term use.

日本語のまとめ:

聴衆全員に脳波測定器を取り付け,プレゼン発表者が聴衆の反応を見ながら発表を行えるシステムを開発した.発表者は反応を見ながら話の速度やアドリブが入れられるため話しやすく,聴衆も脳波測定がない講演より聴きやすいという結果が判明.

(112文字)

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