Frédéric Eliséi

Also published as: Frederic Elisei


Automatic Verbal Depiction of a Brick Assembly for a Robot Instructing Humans
Rami Younes | Gérard Bailly | Frederic Elisei | Damien Pellier
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue

Verbal and nonverbal communication skills are essential for human-robot interaction, in particular when the agents are involved in a shared task. We address the specific situation when the robot is the only agent knowing about the plan and the goal of the task and has to instruct the human partner. The case study is a brick assembly. We here describe a multi-layered verbal depictor whose semantic, syntactic and lexical settings have been collected and evaluated via crowdsourcing. One crowdsourced experiment involves a robot instructed pick-and-place task. We show that implicitly referring to achieved subgoals (stairs, pillows, etc) increases performance of human partners.


Vizart3D : Retour Articulatoire Visuel pour l’Aide à la Prononciation (Vizart3D: Visual Articulatory Feedack for Computer-Assisted Pronunciation Training) [in French]
Thomas Hueber | Atef Ben-Youssef | Pierre Badin | Gérard Bailly | Frédéric Eliséi
Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, volume 5: Software Demonstrations


Does a Virtual Talking Face Generate Proper Multimodal Cues to Draw User’s Attention to Points of Interest?
Stephan Raidt | Gérard Bailly | Frederic Elisei
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

We present a series of experiments investigating face-to-face interaction between an Embodied Conversational Agent (ECA) and a human interlocutor. The ECA is embodied by a video realistic talking head with independent head and eye movements. For a beneficial application in face-to-face interaction, the ECA should be able to derive meaning from communicational gestures of a human interlocutor, and likewise to reproduce such gestures. Conveying its capability to interpret human behaviour, the system encourages the interlocutor to show appropriate natural activity. Therefore it is important that the ECA knows how to display what would correspond to mental states in humans. This allows to interpret the machine processes of the system in terms of human expressiveness and to assign them a corresponding meaning. Thus the system may maintain an interaction based on human patterns. During a first experiment we investigated the ability of our talking head to direct user attention with facial deictic cues (Raidt, Bailly et al. 2005). Users interact with the ECA during a simple card game offering different levels of help and guidance through facial deictic cues. We analyzed the users’ performance and their perception of the quality of assistance given by the ECA. The experiment showed that users profit from its presence and its facial deictic cues. In the continuative series of experiments presented here, we investigated the effect of an enhancement of the multimodality of the deictic gestures by adding a spoken instruction.


Evaluation of a Speech Cuer: From Motion Capture to a Concatenative Text-to-cued Speech System
Guillaume Gibert | Gérard Bailly | Frédéric Eliséi | Denis Beautemps | Rémi Brun
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)