Title
Real-Time Backchannel Selection for ECAs According to User's Level of Interest
Abstract
A great challenge that is to be faced in the design of virtual agents is the issue of credibility, not only in the agent's aspect but also in its behavior [1]. To be believable, the agent has to decide what to do next according to the internal and external variables of the agent. Besides others, we have to deal with the problem of action selection which can be resumed to choose the most appropriate action among all possible (conflicting) ones [2]. In our case, actions are backchannels. This work is part of the STREP EU SEMAINE project in which a real-time Embodied Conversational Agent (ECA) will be a Sensitive Artificial Listener (SAL) [3]. This project aims to build an autonomous talking agent able to exhibit autonomously appropriate verbal and non verbal behaviors in real-time when it plays the role of the listener in a conversation with a user.
Year
DOI
Venue
2009
10.1007/978-3-642-04380-2_59
IVA
Keywords
Field
DocType
real time
Conversation,Credibility,Computer science,Embodied agent,Embodied cognition,Dialog system,Virtual actor,Action selection,Multimedia,Backchannel
Conference
Volume
ISSN
Citations 
5773
0302-9743
1
PageRank 
References 
Authors
0.43
4
2
Name
Order
Citations
PageRank
Etienne de Sevin110414.19
Catherine Pelachaud22706279.88