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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

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Authors

Michel F. Valstar

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)
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

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