An Architecture for Emotional Facial Expressions as Social Signals
An Architecture for Emotional Facial Expressions as Social Signals
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DOI：
10.1109/taffc.2019.2906200
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发表时间：
2021-04-01
影响因子：
11.2
通讯作者：
Rajendran, Gnanathusharan
中科院分区：
文献类型：
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作者：
Aylett, Ruth;Ritter, Christopher;Rajendran, Gnanathusharan
我们关注与表达面部行为的生成相关的情感架构问题，批评将表达行为仅视为内部状态的镜子而不是社会信号的方法，并讨论结合这两种方法的优点。使用 FAtiMA 架构，我们分析了在反应和认知层面生成表达行为作为社交信号的要求。我们讨论如何以动态方式生成面部表情。我们提出了基于明确的身心循环和心智理论 (ToM) 处理的通用架构机制来满足这些要求。给出了一个说明性的场景。
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.