Informal Logic 22 (3) (2002)
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Abstract |
During human-human interaction, emotion plays a vital role in structuring dialogue. Emotional content drives features such as topic shift, lexicalisation change and timing; it affects the delicate balance between goals related to the task at hand and those of social interaction; and it represents one type of feedback on the effect that utterances are having. These various facets are so central to most real-world interaction, that it is reasonable to suppose that emotion should also play an important role in human-computer interaction. To that end, techniques for detecting, modelling, and responding appropriately to emotion are explored, and an architecture for bringing these techniques together into a coherent system is presented
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Keywords | artificial intelligence, discourse analysis, emotion, plan recognition, natural language understanding |
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Reprint years | 2002 |
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References found in this work BETA
Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. Oxford University Press.
Citations of this work BETA
Distinctive Features of Persuasion and Deliberation Dialogues.Katie Atkinson, Trevor Bench-Capon & Douglas Walton - 2013 - Argument and Computation 4 (2):105-127.
Deceptive Arguments Containing Persuasive Language and Persuasive Definitions.Douglas Walton - 2005 - Argumentation 19 (2):159-186.
Comfort or Safety? Gathering and Using the Concerns of a Participant for Better Persuasion.Emmanuel Hadoux & Anthony Hunter - 2019 - Argument and Computation 10 (2):113-147.
Persuasion Dialogue in Online Dispute Resolution.Douglas Walton & David M. Godden - 2005 - Artificial Intelligence and Law 13 (2):273-295.
Review of Walton (2007): Dialog Theory for Critical Argumentation. [REVIEW]Louis de Saussure - 2009 - Pragmatics and Cognition 17 (2):464-471.
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