Exploration of Affect Sensing from Speech and Metaphorical Text

Li Zhang

doi:10.1007/978-3-642-03364-3_31

Exploration of Affect Sensing from Speech and Metaphorical Text

Li Zhang

Research output: Contribution to conference › Paper › peer-review

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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 language	English
Pages	251 - 262
DOIs	https://doi.org/10.1007/978-3-642-03364-3_31
Publication status	Published - 2009
Externally published	Yes
Event	4th International Conference on e-Learning and Games - Banff, Canada Duration: 9 Aug 2009 → 11 Sept 2009 Conference number: 4

Conference

Conference	4th International Conference on e-Learning and Games
Abbreviated title	edutainment
Country/Territory	Canada
City	Banff
Period	9/08/09 → 11/09/09

Bibliographical note

Author can archive post-print (ie final draft post-refereeing).

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10.1007/978-3-642-03364-3_31

Full textLicence: CC BY-NC-ND

http://link.springer.com/10.1007/978-3-642-03364-3_31

Cite this

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title = "Exploration of Affect Sensing from Speech and Metaphorical Text",

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.",

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AB - 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.

U2 - 10.1007/978-3-642-03364-3_31

DO - 10.1007/978-3-642-03364-3_31

M3 - Paper

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T2 - 4th International Conference on e-Learning and Games

Y2 - 9 August 2009 through 11 September 2009

ER -

Exploration of Affect Sensing from Speech and Metaphorical Text

Abstract

Conference

Bibliographical note

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Cite this