A shallow model of backchannel continuers in spoken dialogue
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Natural behavior of a listening agent
Lecture Notes in Computer Science
Searching for Prototypical Facial Feedback Signals
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Fluid Semantic Back-Channel Feedback in Dialogue: Challenges and Progress
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
A probabilistic multimodal approach for predicting listener backchannels
Autonomous Agents and Multi-Agent Systems
Parasocial consensus sampling: combining multiple perspectives to learn virtual human behavior
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
Differences in listener responses between procedural and narrative task
Proceedings of the 2nd international workshop on Social signal processing
Backchannels: quantity, type and timing matters
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
Appropriate and inappropriate timing of listener responses from multiple perspectives
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
Cultural study on speech duration and perception of virtual agent's nodding
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
Online behavior evaluation with the switching wizard of oz
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
The face speaks: contextual and temporal sensitivity to backchannel responses
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Avatar and Dialog Turn-Yielding Phenomena
International Journal of Technology and Human Interaction
Timing and entrainment of multimodal backchanneling behavior for an embodied conversational agent
Proceedings of the 15th ACM on International conference on multimodal interaction
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We evaluate multimodal rule-based strategies for backchannel (BC) generation in face-to-face conversations. Such strategies can be used by artificial listeners to determine when to produce a BC in dialogs with human speakers. In this research, we consider features from the speaker's speech and gaze. We used six rule-based strategies to determine the placement of BCs. The BCs were performed by an intelligent virtual agent using nods and vocalizations. In a user perception experiment, participants were shown video fragments of a human speaker together with an artificial listener who produced BC behavior according to one of the strategies. Participants were asked to rate how likely they thought the BC behavior had been performed by a human listener. We found that the number, timing and type of BC had a significant effect on how human-like the BC behavior was perceived.