Ask Alice: an artificial retrieval of information agent
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...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Conference or Workshop Item |
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2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/40953/ |
| _version_ | 1848796170677125120 |
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| author | Valstar, Michel F. 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 |
| author_facet | Valstar, Michel F. 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 |
| author_sort | Valstar, Michel F. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:43:44Z |
| format | Conference or Workshop Item |
| id | nottingham-40953 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:43:44Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-409532020-05-04T18:21:17Z https://eprints.nottingham.ac.uk/40953/ Ask Alice: an artificial retrieval of information agent Valstar, Michel F. 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 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. 2016-11-14 Conference or Workshop Item PeerReviewed Valstar, Michel F., 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 and Waterschoot, Jelte van (2016) Ask Alice: an artificial retrieval of information agent. In: 18th ACM International Conference on Multimodal Interaction (ICMI 2016), 12-16 Nov 2016, Tokyo, Japan. Virtual Humans Technology demonstrator Affective computing Social signal processing http://dl.acm.org/citation.cfm?doid=2993148.2998535 |
| spellingShingle | Virtual Humans Technology demonstrator Affective computing Social signal processing Valstar, Michel F. 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 Ask Alice: an artificial retrieval of information agent |
| title | Ask Alice: an artificial retrieval of information agent |
| title_full | Ask Alice: an artificial retrieval of information agent |
| title_fullStr | Ask Alice: an artificial retrieval of information agent |
| title_full_unstemmed | Ask Alice: an artificial retrieval of information agent |
| title_short | Ask Alice: an artificial retrieval of information agent |
| title_sort | ask alice: an artificial retrieval of information agent |
| topic | Virtual Humans Technology demonstrator Affective computing Social signal processing |
| url | https://eprints.nottingham.ac.uk/40953/ https://eprints.nottingham.ac.uk/40953/ |