An architecture for emotional facial expressions as social signals

Ruth Aylett; Christopher Ritter; Mei Yii Lim; Frank Broz; Peter McKenna; Ingo Keller; Gnanathusharan Rajendran

doi:10.1109/TAFFC.2019.2906200

An architecture for emotional facial expressions as social signals

Ruth Aylett, Christopher Ritter, Mei Yii Lim, Frank Broz, Peter McKenna, Ingo Keller, Gnanathusharan Rajendran

Research output: Contribution to journal › Article › peer-review

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343 Downloads (Pure)

Abstract

We focus on affective architecture issues relating to the generation of expressive facial behaviour, critique approaches that treat expressive behaviour as only a mirror of internal state rather than as also a social signal and discuss the advantages of combining the two approaches. Using the FAtiMA architecture, we analyse the requirements for generating expressive behavior as social signals at both reactive and cognitive levels. We discuss how facial expressions can be generated in a dynamic fashion. We propose generic architectural mechanisms to meet these requirements based on an explicit mind-body loop and Theory of Mind (ToM) processing. A illustrative scenario is given.

Original language	English
Pages (from-to)	293-305
Number of pages	13
Journal	IEEE Transactions on Affecticve Computing
Volume	12
Issue number	2
Early online date	19 Mar 2019
DOIs	https://doi.org/10.1109/TAFFC.2019.2906200
Publication status	Published - Apr 2021

Keywords

Intelligent agents
affective computing
cognitive informatics
interactive systems
software architecture

ASJC Scopus subject areas

Software
Human-Computer Interaction

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10.1109/TAFFC.2019.2906200

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An architecture for emotional facial expressions as social signals

Abstract

Keywords

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