作者
Laurence Devillers, Sophie Rosset, Guillaume Dubuisson Duplessis, Mohamed A Sehili, Lucile Béchade, Agnes Delaborde, Clément Gossart, Vincent Letard, Fan Yang, Yücel Yemez, Bekir B Türker, Metin Sezgin, Kevin El Haddad, Stéphane Dupont, Daniel Luzzati, Yannick Esteve, Emer Gilmartin, Nick Campbell
发表日期
2015/9/21
研讨会论文
2015 international conference on affective computing and intelligent interaction (ACII)
页码范围
348-354
出版商
IEEE
简介
Thanks to a remarkably great ability to show amusement and engagement, laughter is one of the most important social markers in human interactions. Laughing together can actually help to set up a positive atmosphere and favors the creation of new relationships. This paper presents a data collection of social interaction dialogs involving humor between a human participant and a robot. In this work, interaction scenarios have been designed in order to study social markers such as laughter. They have been implemented within two automatic systems developed in the Joker project: a social dialog system using paralinguistic cues and a task-based dialog system using linguistic content. One of the major contributions of this work is to provide a context to study human laughter produced during a human-robot interaction. The collected data will be used to build a generic intelligent user interface which provides a …
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L Devillers, S Rosset, GD Duplessis, MA Sehili… - 2015 international conference on affective computing …, 2015