Exploration of affect sensing from speech and metaphorical text

Li Zhang

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

6 Citations (Scopus)

Abstract

We report new developments on affect detection from textual metaphorical affective expression and affect sensing from speech. The textual affect detection component has been embedded in an intelligent conversational AI agent interacting with human users under loose scenarios. The detected affective states from text also play an important role in producing emotional animation for users’ avatars. Evaluation of the affect detection from speech and text is provided. Our work contributes to the conference themes on engagement and emotion, virtual AI agents, narrative storytelling in education and evaluation of affective social interaction.
Original languageEnglish
Title of host publicationLearning by Playing. Game-based Education System Design and Development
PublisherSpringer
Pages251-262
Volume5670
ISBN (Electronic)978-3-642-03364-3
ISBN (Print)978-3-642-03363-6
DOIs
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume5670

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