Affect sensing in metaphorical phenomena and dramatic interaction context

Li Zhang

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

Metaphorical interpretation and affect detection using context profiles from open-ended text input are challenging in affective language processing field. In this paper, we explore recognition of a few typical affective metaphorical phenomena and context-based affect sensing using the modeling of speakers’ improvisational mood and other participants’ emotional influence to the speaking character under the improvisation of loose scenarios. The overall updated affect detection module is embedded in an AI agent. The new developments have enabled the AI agent to perform generally better in affect sensing tasks. The work emphasizes the conference themes on affective dialogue processing, human-agent interaction and intelligent user interfaces.
Original languageEnglish
Title of host publicationProceedings of the Twenty-Second International Joint Conference on Artificial Intelligence
EditorsToby Walsh
Place of PublicationMenlo Park, California, USA
PublisherAAAI Press/International Joint Conferences on Artificial Intelligence
Pages1903-1908
Number of pages2871
Volume1
ISBN (Print)978-157735-168
DOIs
Publication statusPublished - 2011
EventTwenty-second International Joint Conference on Artificial Intelligence - Barcelona, Spain
Duration: 1 Jan 2011 → …

Conference

ConferenceTwenty-second International Joint Conference on Artificial Intelligence
Period1/01/11 → …

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