Spoken dialogue management using probabilistic reasoning
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Contextual recognition of head gestures
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Efficient model learning for dialog management
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Planning for human-robot interaction using time-state aggregated POMDPs
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Recognition of spatial dynamics for predicting social interaction
Proceedings of the 6th international conference on Human-robot interaction
Planning and acting under uncertainty: a new model for spoken dialogue systems
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
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The HRI-2013 Workshop on Probabilistic Approaches for Robot Control in Human-Robot Interaction (PARC-HRI) brings together researchers to discuss the application of probabilistic approaches to further enable robot autonomy in HRI, as well as to address the shortcomings and necessary improvements in current techniques needed for robust socially intelligent behavior. This half day workshop investigates the use of probabilistic approaches, such as Bayesian networks and Markov models, for robust robot control and decision-making under uncertainty. Target applications range from social behavior primitives---such as gesture, eye gaze, and spacing---to higher-level interaction planning and management systems.