Abstract
We report progress on adding affect-detection to an existing program for virtual dramatic improvisation, monitored by a human director. To partially automate the directors’ functions, we have partially implemented the detection of emotions, etc. within users’ text input. The affect-detection module has been used for the development of an automated virtual actor. The work also involves basic research into how affect is conveyed through metaphor.
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Zhang, L., Barnden, J.A., Hendley, R.J., Wallington, A.M. (2006). Developments in Affect Detection from Text in Open-Ended Improvisational E-Drama. In: Pan, Z., Aylett, R., Diener, H., Jin, X., Göbel, S., Li, L. (eds) Technologies for E-Learning and Digital Entertainment. Edutainment 2006. Lecture Notes in Computer Science, vol 3942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11736639_48
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DOI: https://doi.org/10.1007/11736639_48
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