Realtime Engagement Measurement in Human-Computer Interaction

被引：0
|
作者：
Kesim, Ege [2 ]
Numanoglu, Tugce [1 ]
Turker, Bekir Berker [1 ]
Erzin, Engin [1 ,2 ]
Yemez, Yucel [2 ]
Sezgin, M. Tevfik [2 ]
机构：
[1] Koc Univ, Elekt & Elekt Muhendisligi Bolumu, Istanbul, Turkey
[2] Koc Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey
来源：
2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2020年
关键词：
Human-Computer Interaction; Social Signal Processing; Non-verbal Expressions; Backhannels; Intention Prediction; ROBOT;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Social robots are expected to understand their interlocutors and behave accordingly like humans do. Endowing robots with the capability of monitoring user engagement during their interactions with humans is one of the crucial steps towards achieving this goal. In this work, an interactive game is designed and implemented, which is played with a robot. During the interaction, the user engagement is monitored in realtime via detection of user gaze, turn-taking, laughters/smiles and head nods from audio-visual data. In the experiments conducted, the real-time monitored engagement is found to be consistent with the human-annotated engagement levels.
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页数：4
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