Situated conversational agents

Will Thompson*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A Situated Conversational Agent (SCA) is an agent that engages in dialog about the context within which it is embedded. Situated dialog is characterized by its deep connection to the embedding context, and the precise cross-timing of linguistic and non-linguistic actions. This paper describes initial research into the construction of an SCA that engages in dialog about collaborative physical tasks, in which agents engage in dialog with the joint goal of manipulating the physical context in some manner. Constructing an SCA that can interact naturally in such tasks requires an agent with the ability to interleave planning, action, and observation while operating in a partially observable environment. Consequently, I propose to model an SCA as a Partially Observable Markov Decision Process (POMDP).

Original languageEnglish (US)
Title of host publicationAAAI-07/IAAI-07 Proceedings
Subtitle of host publication22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Pages1908-1909
Number of pages2
Volume2
StatePublished - Nov 28 2007
EventAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference - Vancouver, BC, Canada
Duration: Jul 22 2007Jul 26 2007

Other

OtherAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Country/TerritoryCanada
CityVancouver, BC
Period7/22/077/26/07

ASJC Scopus subject areas

  • Software

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