LOL — Laugh Out Loud


  • Florian Pecune CNRS-LTCI - Telecom-ParisTech
  • Beatrice Biancardi CNRS-LTCI - Telecom-ParisTech
  • Yu Ding CNRS-LTCI - Telecom-ParisTech
  • Catherine Pelachaud CNRS-LTCI - Telecom-ParisTech
  • Maurizio Mancini DIBRIS - Università degli Studi di Genova
  • Giovanna Varni DIBRIS - Università degli Studi di Genova
  • Antonio Camurri DIBRIS -  Università degli Studi di Genova
  • Gualtiero Volpe DIBRIS - Università degli Studi di Genova



In our demo, LoL, a user interacts with a virtual agentable to copy and to adapt its laughing and expressive behaviorson-the-fly. Our aim is to study copying capabilitiesparticipate in enhancing user’s experience in the interaction.User listens to funny audio stimuli in the presenceof a laughing agent: when funniness of audio increases, theagent laughs and the quality of its body movement (directionand amplitude of laughter movements) is modulated on-theflyby user’s body features.




How to Cite

Pecune, F., Biancardi, B., Ding, Y., Pelachaud, C., Mancini, M., Varni, G., Camurri, A., & Volpe, G. (2015). LOL — Laugh Out Loud. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1).