Domain and Subtask-Adaptive Conversational Agents to Provide an Enhanced Human-Agent Interaction View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2014

AUTHORS

David Griol , José Manuel Molina , Araceli Sanchis de Miguel

ABSTRACT

One of the most demanding tasks when developing conversational agents consists of designing the dialog manager, which decides the next system response considering the user’s actions and the dialog history. A previously developed statistical dialog management technique is adapted in this work to reduce the effort and time required to design the dialog manager. This technique allows not only an easy adaptation to new domains, but also to deal with the different subtasks by means of specific dialog models adapted to each dialog objective in the domain of a multiagent system. The practical application of the proposed technique to develop a conversational agent providing railway information shows that the use of these specific dialog models increases the quality and number of successful interactions with the agent in comparison with developing a single dialog model for the complete domain. More... »

PAGES

134-145

References to SciGraph publications

Book

TITLE

Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection

ISBN

978-3-319-07550-1
978-3-319-07551-8

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-07551-8_12

DOI

http://dx.doi.org/10.1007/978-3-319-07551-8_12

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013053993


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