On the boosting ability of top-down decision tree learning algorithms
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Designing Sociable Robots
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Machine Learning
Knowledge Acquisition and Machine Learning
Knowledge Acquisition and Machine Learning
Robot learning driven by emotions
Adaptive Behavior
A Context-Dependent Attention System for a Social Robot
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Pose Estimation using 3D View-Based Eigenspaces
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Precision timing in human-robot interaction: coordination of head movement and utterance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Footing in human-robot conversations: how robots might shape participant roles using gaze cues
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Visual attention in spoken human-robot interaction
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Top-down induction of first-order logical decision trees
Artificial Intelligence
Learning of shared attention in sociable robotics
Journal of Algorithms
Relational reinforcement learning applied to shared attention
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Investigating multimodal real-time patterns of joint attention in an hri word learning task
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Computation for metaphors, analogy, and agents
IEEE Transactions on Autonomous Mental Development
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Shared attention is a type of communication very important among human beings. It is sometimes reserved for the more complex form of communication being constituted by a sequence of four steps: mutual gaze, gaze following, imperative pointing and declarative pointing. Some approaches have been proposed in Human驴Robot Interaction area to solve part of shared attention process, that is, the most of works proposed try to solve the first two steps. Models based on temporal difference, neural networks, probabilistic and reinforcement learning are methods used in several works. In this article, we are presenting a robotic architecture that provides a robot or agent, the capacity of learning mutual gaze, gaze following and declarative pointing using a robotic head interacting with a caregiver. Three learning methods have been incorporated to this architecture and a comparison of their performance has been done to find the most adequate to be used in real experiment. The learning capabilities of this architecture have been analyzed by observing the robot interacting with the human in a controlled environment. The experimental results show that the robotic head is able to produce appropriate behavior and to learn from sociable interaction.