Benefits and Limitations of Continuous Representations of Emotions in Affective  Computing: Introduction to the Special Issue

Eva Hudlicka; Hatice Gunes

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Benefits and Limitations of Continuous Representations of Emotions in Affective Computing: Introduction to the Special Issue

机译：情感计算中连续表达情感的好处和局限性：特刊简介

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Affective computing (Picard, 1997) has witnessed tremendous progress over the past decade, in all four of its core areas: recognition of human emotions by machines, affective user modeling, modeling of emotions in agent architectures, and expression of emotions in virtual agents and robots (Gunes & Pantic, 2010; Hudlicka, 2011a).'

机译：情感计算（Picard，1997年）在过去的四个核心领域都取得了巨大进步：机器识别人类情感，情感用户建模，代理架构中的情感建模以及虚拟代理和虚拟代理中的情感表达。机器人（Gunes＆Pantic，2010; Hudlicka，2011a）。

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《International journal of synthetic emotions》 |2012年第1期|p.i-vi|共6页
作者
Eva Hudlicka; Hatice Gunes;
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作者单位

Psychometrix Associates, USA;

Queen Mary, University of London, UK;

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正文语种 eng
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Benefits and Limitations of Continuous Representations of Emotions in Affective Computing: Introduction to the Special Issue

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