Zobrazeno 1 - 10
of 28
pro vyhledávání: '"David DeVault"'
Publikováno v:
IEEE Transactions on Affective Computing. :1-12
Publikováno v:
IVA
Women earn less than men in technical fields. Competing theories have been offered to explain this disparity. Some argue that women underperform in negotiating their salary, in-part due to language in job descriptions, called gender triggers, which l
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10:30-31
This demonstration showcases a virtual agent, Mr. Clue, capable of acting in the role of clue-giver in a word-guessing game. The agent has the ability to automatically generate clues and update its dialogue policy dynamically based on user input.
Autor:
David DeVault, Nigel Ward
Publikováno v:
AI Magazine; Vol 37, No 4: Winter 2016; 7-18
Spoken dialog researchers have recently demonstrated highly-interactive systems in several domains. This paper considers how to build on these advances to make systems more robust, easier to develop, and more scientifically significant. We identify k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b86bcc8dd3274ca182a9f6ffa5f1c507
http://aaai.org/ojs/index.php/aimagazine/article/view/2687
http://aaai.org/ojs/index.php/aimagazine/article/view/2687
Publikováno v:
SIGDIAL Conference
We apply Reinforcement Learning (RL) to the problem of incremental dialogue policy learning in the context of a fast-paced dialogue game. We compare the policy learned by RL with a high-performance baseline policy which has been shown to perform very
Publikováno v:
Journal on multimodal user interfaces, 8(1), 61-73. Springer
We present a computational model of incremental grounding, including state updates and action selection. The model is inspired by corpus-based examples of overlapping utterances of several sorts, including backchannels and completions. The model has
Publikováno v:
SIGDIAL Conference
BASE-Bielefeld Academic Search Engine
BASE-Bielefeld Academic Search Engine
In this paper, we present and evaluate an approach to incremental dialogue act (DA) segmentation and classification. Our approach utilizes prosodic, lexico-syntactic and contextual features, and achieves an encouraging level of performance in offline
Publikováno v:
Intelligent Virtual Agents ISBN: 9783319476643
IVA
IVA
This article examines the potential for teaching negotiation with virtual humans. Many people find negotiations to be aversive. We conjecture that students may be more comfortable practicing negotiation skills with an agent than with another person.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::230f3f4be603e94157ff8c226a5a67d4
https://doi.org/10.1007/978-3-319-47665-0_25
https://doi.org/10.1007/978-3-319-47665-0_25
Publikováno v:
Dialogue & Discourse. 2:143-170
We present techniques for the incremental interpretation and prediction of utterance meaning in dialogue systems. These techniques open possibilities for systems to initiate responsive overlap behaviors during user speech, such as interrupting, ackno
Autor:
Clinton J. Andrews, David DeVault
Publikováno v:
Journal of Industrial Ecology. 13:326-345
Supplementary material is available on the JIE Web site Summary This article introduces a multiagent simulation framework for investigating the emergence of niche markets for environmentally innovative products. It clarifies how consumer preferences,