Michel F. Valstar
Ask Alice: an artificial retrieval of information agent
Valstar, Michel F.; Baur, Tobias; Cafaro, Angelo; Ghitulescu, Alexandru; Potard, Blaise; Wagner, Johannes; Andr�, Elisabeth; Durieu, Laurent; Aylett, Matthew; Dermouche, Soumia; Pelachaud, Catherine; Coutinho, Eduardo; Schuller, Bj�rn; Zhang, Yue; Heylen, Dirk; Theune, Mari�t; Waterschoot, Jelte van
Authors
Tobias Baur
Angelo Cafaro
Alexandru Ghitulescu
Blaise Potard
Johannes Wagner
Elisabeth Andr�
Laurent Durieu
Matthew Aylett
Soumia Dermouche
Catherine Pelachaud
Eduardo Coutinho
Bj�rn Schuller
Yue Zhang
Dirk Heylen
Mari�t Theune
Jelte van Waterschoot
Abstract
We present a demonstration of the ARIA framework, a modular approach for rapid development of virtual humans for information retrieval that have linguistic, emotional, and social skills and a strong personality. We demonstrate the framework’s capabilities in a scenario where ‘Alice in Wonderland’, a popular English literature book, is embodied by a virtual human representing Alice. The user can engage in an information exchange dialogue, where Alice acts as the expert on the book, and the user as an interested novice. Besides speech recognition, sophisticated audio-visual behaviour analysis is used to inform the core agent dialogue module about the user’s state and intentions, so that it can go beyond simple chat-bot dialogue. The behaviour generation module features a unique new capability of being able to deal gracefully with interruptions of the agent.
Citation
Valstar, M. F., Baur, T., Cafaro, A., Ghitulescu, A., Potard, B., Wagner, J., …Waterschoot, J. V. (2016). Ask Alice: an artificial retrieval of information agent.
Conference Name | 18th ACM International Conference on Multimodal Interaction (ICMI 2016) |
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End Date | Nov 16, 2016 |
Acceptance Date | Sep 14, 2016 |
Publication Date | Nov 14, 2016 |
Deposit Date | Mar 2, 2017 |
Publicly Available Date | Mar 2, 2017 |
Peer Reviewed | Peer Reviewed |
Keywords | Virtual Humans, Technology demonstrator, Affective computing, Social signal processing |
Public URL | https://nottingham-repository.worktribe.com/output/828805 |
Publisher URL | http://dl.acm.org/citation.cfm?doid=2993148.2998535 |
Contract Date | Mar 2, 2017 |
Files
ARIA-demo.pdf
(1.6 Mb)
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