Visible to the public Ask Alice: An Artificial Retrieval of Information Agent

TitleAsk Alice: An Artificial Retrieval of Information Agent
Publication TypeConference Paper
Year of Publication2016
AuthorsValstar, Michel, Baur, Tobias, Cafaro, Angelo, Ghitulescu, Alexandru, Potard, Blaise, Wagner, Johannes, André, Elisabeth, Durieu, Laurent, Aylett, Matthew, Dermouche, Soumia, Pelachaud, Catherine, Coutinho, Eduardo, Schuller, Björn, Zhang, Yue, Heylen, Dirk, Theune, Mariët, Waterschoot, Jelte van
Conference NameProceedings of the 18th ACM International Conference on Multimodal Interaction
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4556-9
Keywordsconversational agents, Embodied Conversational Agents, Human Behavior, Metrics, pubcrawl, Scalability, Virtual Humans
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.

URLhttp://doi.acm.org/10.1145/2993148.2998535
DOI10.1145/2993148.2998535
Citation Keyvalstar_ask_2016