Ask Alice: an artificial retrieval of information agent. Valstar, M., Dermouche, S., Pelachaud, C., Coutinho, E., Schuller, B., Zhang, Y., Heylen, D., Theune, M., Waterschoot, J., v., Baur, T., Cafaro, A., Ghitulescu, A., Potard, B., Wagner, J., André, E., Durieu, L., & Aylett, M. In Proceedings of the 18th ACM International Conference on Multimodal Interaction - ICMI 2016, pages 419-420, 11, 2016. ACM Press.
Ask Alice: an artificial retrieval of information agent [link]Website  abstract   bibtex   
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.
@inproceedings{
 title = {Ask Alice: an artificial retrieval of information agent},
 type = {inproceedings},
 year = {2016},
 identifiers = {[object Object]},
 keywords = {article,conference},
 pages = {419-420},
 websites = {http://dl.acm.org/citation.cfm?doid=2993148.2998535},
 month = {11},
 publisher = {ACM Press},
 city = {New York, New York, USA},
 institution = {Tokyo, Japan},
 id = {dce1e39d-d5f4-3e49-96f8-c4bad9f59b0e},
 created = {2020-05-29T11:51:38.700Z},
 file_attached = {true},
 profile_id = {ffa9027c-806a-3827-93a1-02c42eb146a1},
 last_modified = {2020-06-08T17:31:32.035Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {valstar2016askagent},
 source_type = {inproceedings},
 folder_uuids = {aac08d0d-38e7-4f4e-a381-5271c5c099ce},
 private_publication = {false},
 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.},
 bibtype = {inproceedings},
 author = {Valstar, Michel and Dermouche, Soumia and Pelachaud, Catherine and Coutinho, Eduardo and Schuller, Björn and Zhang, Yue and Heylen, Dirk and Theune, Mariët and Waterschoot, Jelte van and Baur, Tobias and Cafaro, Angelo and Ghitulescu, Alexandru and Potard, Blaise and Wagner, Johannes and André, Elisabeth and Durieu, Laurent and Aylett, Matthew},
 booktitle = {Proceedings of the 18th ACM International Conference on Multimodal Interaction - ICMI 2016}
}

Downloads: 0