Thanks to a remarkably great ability to show amusement and engagement, aughter 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 multimodal dialog system with social communication skills including humor and other informal socially oriented behaviors. This system will emphasize the fusion of verbal and non-verbal channels for emotional and social behavior perception, interaction and generation capabilities.
Keywords: Multimodal Data, Human-Robot Interaction, Humorous Robot
Authors: L. Devillers, S. Rosset, G. Dubuisson Duplessis, M. A. Sehili, L. Béchade, A. Delaborde, C. Gossart, V. Letard, F. Yang, Y. Yemez, B. B. Türker, M. Sezgin, K. El Haddad, S. Dupont, D. Luzzati, Y. Estève, E. Gilmartin, N. Campbell.