TY - GEN
T1 - Ask alice
T2 - 18th ACM International Conference on Multimodal Interaction, ICMI 2016
AU - Valstar, Michel
AU - Ghitulescu, Alexandru
AU - Baur, Tobias
AU - Potard, Blaise
AU - Cafaro, Angelo
AU - Wagner, Johannes
AU - André, Elisabeth
AU - Durieu, Laurent
AU - Aylett, Matthew
AU - Dermouche, Soumia
AU - Pelachaud, Catherine
AU - Coutinho, Eduardo
AU - Schuller, Björn
AU - Zhang, Yue
AU - Heylen, Dirk
AU - Theune, Mariët
AU - van Waterschoot, Jelte
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/10/31
Y1 - 2016/10/31
N2 - 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.
AB - 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.
KW - Affective computing
KW - Social signal processing
KW - Technology demonstrator
KW - Virtual humans
UR - http://www.scopus.com/inward/record.url?scp=85016603715&partnerID=8YFLogxK
U2 - 10.1145/2993148.2998535
DO - 10.1145/2993148.2998535
M3 - Conference contribution
AN - SCOPUS:85016603715
T3 - ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction
SP - 419
EP - 420
BT - ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction
A2 - Nakano, Yukiko I.
A2 - Andre, Elisabeth
A2 - Nishida, Toyoaki
A2 - Morency, Louis-Philippe
A2 - Busso, Carlos
A2 - Pelachaud, Catherine
PB - Association for Computing Machinery, Inc
Y2 - 12 November 2016 through 16 November 2016
ER -