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Project summary
EDHHI (Engagement During Human-Humanoid Interaction) is a multidisciplinary project between researchers in humanoid robotics (ISIR) and psychology (CHArt-LUTIN). EDHHI aims at advancing the current understanding about the factors influencing effective human-humanoid interaction in cooperative tasks, particularly the relations between individual factors, such as personality traits, and the dynamics of social (verbal and non-verbal) signals. The main purpose of the project is to identify the individual factors influencing the acceptance and the engagement of the human towards the robot during interaction. The secondary purpose of the project is to provide a rich description of the verbal and non-verbal signals produced by a human during a cooperative assembly task with a humanoid robot.
EDHHI is financed through SMART Labex (september 2013 - september 2014).
Partners
ISIR: Serena Ivaldi, Salvatore Anzalone, Mohamed Chetouani
CHArt-LUTIN: Elisabetta Zibetti, Ilaria Gaudiello, Joelle Provasi
EXPERIMENTAL PROTOCOL
Ivaldi et al., ``Engagement during human-humanoid interaction'', IRB n.20135200001072.
PUBLICATIONS
Ivaldi, S.; Lefort, S.; Peters, J.; Chetouani, M.; Provasi, J.; Zibetti, E. (submitted) Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robots to gaze and speech during a human-robot assembly task. Preprint at arXiv:1508.04603.
Rahbar, F.; Anzalone, S.; Varni, G.; Zibetti, E.; Ivaldi, S.; Chetouani, M. (2015) Predicting extraversion from non-verbal features during a face-to-face human-robot interaction. International Conference on Social Robotics. [ PDF ]
Anzalone, S.; Boucenna, S.; Ivaldi, S.; Chetouani, M. (2015) Evaluating the engagement with social robots. International Journal of Social Robotics. [ HTML | PDF ]
Ivaldi, S.; Anzalone, S.; Rousseau, W.; Sigaud, O.; Chetouani, M. (2014). Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement. Frontiers in Neurorobotics, doi: 10.3389/fnbot.2014.00005. [HTML]
Ivaldi, S.; Anzalone, S.; Rousseau, W.; Sigaud, O.; Chetouani, M. (2013). Cues for making a humanoid child more human-like during social learning tasks. Workshop on Towards social humanoid robots: what makes interaction human-like? - IROS 2013. [ HTML ]
Rousseau, W.; Anzalone, S.; Chetouani, M.; Sigaud, O.; Ivaldi, S. (2013). Learning object names through shared attention. Workshop on Developmental Social Robotics - IROS 2013. [ HTML]
VIDEOS
This video shows the spontaneous reactions of some participants to a simple stimulus of the robot (raising the hand holding a cylinder toy) when the people meet the robot for the first time. The variability of their behavior when facing the robot enables to predict the participants' personality trait (extroversion and negative attitude towards robots).
See:
Rahbar, F.; Anzalone, S.; Varni, G.; Zibetti, E.; Ivaldi, S.; Chetouani, M. (2015) Predicting extraversion from non-verbal features during a face-to-face human-robot interaction. International Conference on Social Robotics. [ PDF ]