Affective computing
How to find trouble in communication
Speech Communication - Special issue on speech and emotion
Levels of representation in the annotation of emotion for the specification of expressivity in ECAs
Lecture Notes in Computer Science
2005 Special Issue: Beyond emotion archetypes: Databases for emotion modelling using neural networks
Neural Networks - Special issue: Emotion and brain
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
Neural Networks - Special issue: Emotion and brain
Human-Machine Reconfigurations: Plans and Situated Actions
Human-Machine Reconfigurations: Plans and Situated Actions
Pedagogical Agents Trying on a Caring Mentor Role
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
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Affective Computing envisages truly effective human-machine interactions as being affect-sensitive. The field is both motivated and influenced by an understanding of emotion in an environment, that of person to person, that differs from its eventual application, person to machine. Analysing data obtained in a potential application environment -- computer-assisted learning - we highlight the limitations of such an understanding and propose an alternative stance to affect, that of intentional affective interaction.