Reading People's Minds From Emotion Expressions in Interdependent Decision Making
Reading People's Minds From Emotion Expressions in Interdependent Decision Making
复制标题
DOI：
10.1037/a0034251
复制
发表时间：
2014-01-01
影响因子：
7.6
通讯作者：
Gratch, Jonathan
中科院分区：
文献类型：
--
作者：
de Melo, Celso M.;Carnevale, Peter J.;Gratch, Jonathan
人们如何从他人的情绪表现中推断出他们的想法？从他人的面部表情推断他人的信念、愿望和意图的能力在相互依赖的决策中尤其重要，因为人们根据他人合作意图的信念做出决策。五个实验测试的一般命题，人们遵循的原则进行推理时，从情绪显示，在上下文中的评价。实验1表明，相同的情绪显示产生相反的效果取决于上下文：当其他的竞争，微笑在对方的脸上引起了更多的负面反应比当其他的合作。实验2表明，情绪表现的基本信息来源于评价（e。例如，在一个实施例中，目前的状况是否有利于我的目标？这件事该怪谁呢？情绪的面部表情与相应评价的文本表达对人们的决策有相同的影响。实验3，4和5采用多重中介分析和因果链设计：结果支持这一命题，即对他人评价的信念介导情绪表现对他人意图预期的影响。我们提出了一个模型的基础上评价理论的情绪，假定一个推理机制，使人们检索，从情绪表达，有关他人的评价信息，然后导致推断他人的心理状态。这项工作的算法设计，驱动代理人的行为，在人-代理人的战略互动，在计算机科学和社会心理学的接口的一个新兴领域的影响。
How do people make inferences about other people's minds from their emotion displays? The ability to infer others' beliefs, desires, and intentions from their facial expressions should be especially important in interdependent decision making when people make decisions from beliefs about the others' intention to cooperate. Five experiments tested the general proposition that people follow principles of appraisal when making inferences from emotion displays, in context. Experiment 1 revealed that the same emotion display produced opposite effects depending on context: When the other was competitive, a smile on the other's face evoked a more negative response than when the other was cooperative. Experiment 2 revealed that the essential information from emotion displays was derived from appraisals (e. g., Is the current state of affairs conducive to my goals? Who is to blame for it?); facial displays of emotion had the same impact on people's decision making as textual expressions of the corresponding appraisals. Experiments 3, 4, and 5 used multiple mediation analyses and a causal-chain design: Results supported the proposition that beliefs about others' appraisals mediate the effects of emotion displays on expectations about others' intentions. We suggest a model based on appraisal theories of emotion that posits an inferential mechanism whereby people retrieve, from emotion expressions, information about others' appraisals, which then lead to inferences about others' mental states. This work has implications for the design of algorithms that drive agent behavior in human-agent strategic interaction, an emerging domain at the interface of computer science and social psychology.