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An Architecture for Emotional Facial Expressions as Social Signals | IEEE Journals & Magazine | IEEE Xplore

An Architecture for Emotional Facial Expressions as Social Signals


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 ...Show More

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.
Published in: IEEE Transactions on Affective Computing ( Volume: 12, Issue: 2, 01 April-June 2021)
Page(s): 293 - 305
Date of Publication: 19 March 2019

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1 Introduction

This paper poses the problem of how to incorporate a generative account of expressive behaviour into an affective architecture, focusing on facial expressions. Expressive behaviour using the body posture, gesture, glance, facial expression is an significant component of communicative content alongside the verbal channel, and is therefore required for social agents, whether robots or graphical characters. Facial expressions are considered particularly important for agents that have a face (some robots do not), since this is often the focus of glance by an interaction partner. With more than forty muscle groups [1], the face has a wide range of movements and thus substantial expressivity. It has been argued that more than half of expressive behaviour relates to facial expressions [2].

References

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