Affective computing
Better Game Characters by Design: A Psychological Approach (The Morgan Kaufmann Series in Interactive 3D Technology)
Automatic prediction of frustration
International Journal of Human-Computer Studies
An empathic virtual dialog agent to improve human-machine interaction
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Chaos and Graphics: Maxine: A platform for embodied animated agents
Computers and Graphics
Expert Systems with Applications: An International Journal
Sentic Computing: Techniques, Tools, and Applications
Sentic Computing: Techniques, Tools, and Applications
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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The capability of perceiving and expressing emotions through different modalities is a key issue for the enhancement of human-agent interaction. In this paper, an architecture for the development of intelligent multimodal affective interfaces is presented. It is based on the integration of Sentic Computing, a new opinion mining and sentiment analysis paradigm based on AI and Semantic Web techniques, with a facial emotional classifier and Maxine, a powerful multimodal animation engine for managing virtual agents and 3D scenarios. One of the main distinguishing features of the system is that it does not simply perform emotional classification in terms of a set of discrete emotional labels but it operates in a novel continuous 2D emotional space, enabling the output of a continuous emotional path that characterizes user's affective progress over time. Another key factor is the fusion methodology proposed, which is able to fuse any number of unimodal categorical modules, with very different time-scales, output labels and recognition success rates, in a simple and scalable way.