Social interaction: multimodal conversation with social agents
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Detection and application of influence rankings in small group meetings
Proceedings of the 8th international conference on Multimodal interfaces
Multi-party, Multi-issue, Multi-strategy Negotiation for Multi-modal Virtual Agents
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Investigating automatic dominance estimation in groups from visual attention and speaking activity
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Explorations in engagement for humans and robots
Artificial Intelligence
Dialog in the open world: platform and applications
Proceedings of the 2009 international conference on Multimodal interfaces
Modeling dominance in group conversations using nonverbal activity cues
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on multimodal processing in speech-based interactions
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Facilitating multiparty dialog with gaze, gesture, and speech
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Identifying emergent leadership in small groups using nonverbal communicative cues
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Automatic detection of dominance and expected interest
EURASIP Journal on Advances in Signal Processing
Dominance detection in meetings using easily obtainable features
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Estimating conversational dominance in multiparty interaction
Proceedings of the 14th ACM international conference on Multimodal interaction
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With a goal of contributing to multiparty conversation management, this paper proposes a mechanism for estimating conversational dominance in group interaction. Based on our corpus analysis, we have already established a regression model for dominance estimation using speech and gaze information. In this study, we implement the model as a dominance estimation mechanism, and propose an idea of utilizing the mechanism in moderating multiparty conversations between a conversational robot and three human users. The system decides whom the system should talk to based on the dominance level of each user.