Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Emotion and sociable humanoid robots
International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
iCat: an animated user-interface robot with personality
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multimodal affect recognition in learning environments
Proceedings of the 13th annual ACM international conference on Multimedia
Automatic prediction of frustration
International Journal of Human-Computer Studies
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Empirically building and evaluating a probabilistic model of user affect
User Modeling and User-Adapted Interaction
Using anticipation to create believable behaviour
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
An exploration of user engagement in HCI
Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots
Designing a game companion for long-term social interaction
Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots
Closing the loop: from affect recognition to empathic interaction
Proceedings of the 3rd international workshop on Affective interaction in natural environments
Automatic analysis of affective postures and body motion to detect engagement with a game companion
Proceedings of the 6th international conference on Human-robot interaction
Modelling empathy in social robotic companions
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Goal-driven approach to open-ended dialogue management using BDI agents
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Flexible conversation management using a BDI agent approach
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
Designing engagement-aware agents for multiparty conversations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Video analysis of approach-avoidance behaviors of teenagers speaking with virtual agents
Proceedings of the 15th ACM on International conference on multimodal interaction
Towards affect sensitive and socially perceptive companions
Your Virtual Butler
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Affect sensitivity is of the utmost importance for a robot companion to be able to display socially intelligent behaviour, a key requirement for sustaining long-term interactions with humans. This paper explores a naturalistic scenario in which children play chess with the iCat, a robot companion. A person-independent, Bayesian approach to detect the user's engagement with the iCat robot is presented. Our framework models both causes and effects of engagement: features related to the user's non-verbal behaviour, the task and the companion's affective reactions are identified to predict the children's level of engagement. An experiment was carried out to train and validate our model. Results show that our approach based on multimodal integration of task and social interaction-based features outperforms those based solely on non-verbal behaviour or contextual information (94.79 % vs. 93.75 % and 78.13 %).