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Co-constructing Grounded Symbols—Feedback and Incremental Adaptation in Human–Agent Dialogue

dc.contributor.authorBuschmeier, Hendrik
dc.contributor.authorKopp, Stefan
dc.date.accessioned2018-01-08T09:16:32Z
dc.date.available2018-01-08T09:16:32Z
dc.date.issued2013
dc.description.abstractGrounding in dialogue concerns the question of how the gap between the individual symbol systems of interlocutors can be bridged so that mutual understanding is possible. This problem is highly relevant to human–agent interaction where mis- or non-understanding is common. We argue that humans minimise this gap by collaboratively and iteratively creating a shared conceptualisation that serves as a basis for negotiating symbol meaning. We then present a computational model that enables an artificial conversational agent to estimate the user’s mental state (in terms of contact, perception, understanding, acceptance, agreement and based upon his or her feedback signals) and use this information to incrementally adapt its ongoing communicative actions to the user’s needs. These basic abilities are important to reduce friction in the iterative coordination process of co-constructing grounded symbols in dialogue.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11347
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 27, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectAdaptation
dc.subjectDialogue
dc.subjectFeedback
dc.subjectHuman-agent Interaction
dc.subjectSymbol grounding
dc.titleCo-constructing Grounded Symbols—Feedback and Incremental Adaptation in Human–Agent Dialogue
dc.typeText/Journal Article
gi.citation.endPage143
gi.citation.startPage137

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