Topic switch models for dialogue management in virtual humans
Zhu, Wenjue and Chowanda, Andry and Valstar, Michel F. (2016) Topic switch models for dialogue management in virtual humans. In: 16th International Conference on Intelligent Virtual Agents (IVA 2016), 20-23 Sept, 2016, Los Angeles, California, USA.
Official URL: http://www.springer.com/us/book/9783319476643
This paper presents a novel data-driven Topic Switch Model based on a cognitive representation of a limited set of topics that are currently in-focus, which determines what utterances are chosen next. The transition model was statistically learned from a large set of transcribed dyadic interactions. Results show that using our proposed model results in interactions that on average last 2.17 times longer compared to the same system without our model.
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