We report work1 in progress on adding affect-detection to an existing program for virtual dramatic improvisation, monitored by a human director. To partially automate the director...
Li Zhang, John A. Barnden, Robert J. Hendley, Alan...
We present the concept and motivations for the development of Affect Listeners, conversational systems aiming to detect and adapt to affective states of users, and meaningfully res...
Metaphorical and contextual affect detection from open-ended text-based dialogue is challenging but essential for the building of effective intelligent user interfaces. In this pa...
This paper reviews and integrates research that would be necessary to develop an AIED system able to detect and then appropriately react to an affective state of a learner. It addr...
Emmanuel G. Blanchard, Boris Volfson, Yuan-Jin Hon...
Modern software is often developed over many years with hundreds of thousands of commits. Commit metadata is a rich source of social characteristics, including the commit’s time...