4.7 Article

An Architecture for Emotional Facial Expressions as Social Signals

期刊

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
卷 12, 期 2, 页码 293-305

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAFFC.2019.2906200

关键词

Appraisal; Computer architecture; Robots; Face; Games; Computational modeling; Mirrors; Intelligent agents; affective computing; interactive systems; software architecture; cognitive informatics

资金

  1. European Commission (EC) [ICT-5-4.2257666]
  2. EPSRC [EP/N034546/1] Funding Source: UKRI

向作者/读者索取更多资源

The research focuses on affective architecture issues related to the generation of expressive facial behavior and critiques approaches that view expressive behavior solely as a reflection of internal states rather than social signals. The study discusses the benefits of combining these two approaches and analyzes the requirements for generating expressive behavior as social signals at reactive and cognitive levels. Proposed generic architectural mechanisms are based on an explicit mind-body loop and Theory of Mind processing, with a illustrative scenario provided for demonstration.
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.

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