Facial expression judgments support a sociorelational model, rather than a negativity bias model of political psychology

Jacob M. Vigil; Chance Strenth

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Facial expression judgments support a sociorelational model, rather than a negativity bias model of political psychology

机译：面部表情判断支持一种社会关系模型，而不是政治心理学的消极偏见模型

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Self-reported opinions and judgments may be more rooted in expressive biases than in cognitive processing biases, and ultimately operate within a broader behavioral style for advertising the capacity -versus the trustworthiness - dimension of human reciprocity potential. Our analyses of facial expression judgments of likely voters are consistent with this thesis, and directly contradict one major prediction from the authors' "negativity-bias" model.

机译：自我报告的观点和判断可能更多地表现在表达偏见而不是认知加工偏见上，并最终以更广泛的行为方式运作，以宣传人类对等潜在能力的能力-而非可信赖性。我们对可能的选民的面部表情判断的分析与本论文一致，并且直接与作者的“负偏见”模型的一项主要预测相矛盾。

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《Behavioral and Brain Sciences》 |2014年第3期|331-332|共2页
作者
Jacob M. Vigil; Chance Strenth;
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Department of Psychology, University of New Mexico, Albuquerque, NM 87131-1161;

Department of Psychology, University of New Mexico, Albuquerque, NM 87131-1161;

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1. Augmented reality-based video-modeling storybook of nonverbal facial cues for children with autism spectrum disorder to improve their perceptions and judgments of facial expressions and emotions [J] . Chen Chien-Hsu, Lee I-Jui, Lin Ling-Yi Computers in Human Behavior . 2016,第FEBa期

机译：基于增强现实的自闭症谱系障碍儿童非语言面部提示视频建模故事书，以改善他们对面部表情和情绪的感知和判断
2. Perception of Facial Expression in Somatosensory Cortex Supports Simulationist Models [J] . Elizabeth Hussey, Ashley Safford The Journal of Neuroscience: The Official Journal of the Society for Neuroscience . 2009,第2期

机译：体感皮层的面部表情感知支持模拟模型
3. A facial expression recognition model using hybrid feature selection and support vector machines [J] . Yenumaladoddi Jayasimha, R. Venkata Siva Reddy International journal of information and computer security . 2021,第1期

机译：使用混合特征选择和支持向量机的面部表情识别模型
4. Classifying Facial Expressions Using Point-Based Analytic Face Model and Support Vector Machines [C] . Abu Sayeed Md. Sohail, Prabir Bhattacharya IEEE International Conference on Systems, Man and Cybernetics . 2007

机译：使用基于点的分析面模型和支持向量机进行分类表达式
5. Automatic recognition of facial expressions using Hidden Markov models and estimation of expression intensity. [D] . Lien, Jenn-Jier James. 1998

机译：使用隐马尔可夫模型自动识别面部表情并估算表情强度。
6. Perception of Facial Expression in Somatosensory Cortex Supports Simulationist Models [O] . Elizabeth Hussey, Ashley Safford 2009

机译：体感皮层的面部表情感知支持模拟模型
7. The thermodynamic changes that occur upon mixing five models of formamide and three models of water, including the miscibility of these model combinations itself, is studied by performing Monte Carlo computer simulations using an appropriately chosen thermodynamic cycle and the method of thermodynamic integration. The results show that the mixing of these two components is close to the ideal mixing, as both the energy and entropy of mixing turn out to be rather close to the ideal term in the entire composition range. Concerning the energy of mixing, the OPLS/AA-mod model of formamide behaves in a qualitatively different way than the other models considered. Thus, this model results in negative, while the other ones in positive energy of mixing values in combination with all three water models considered. Experimental data supports this latter behavior. Although the Helmholtz free energy of mixing always turns out to be negative in the entire composition range, the majority of the model combinations tested either show limited miscibility, or, at least, approach the miscibility limit very closely in certain compositions. Concerning both the miscibility and the energy of mixing of these model combinations, we recommend the use of the combination of the CHARMM formamide and TIP4P water models in simulations of water-formamide mixtures. [O] . Kiss, Bálint, Fábián, Balázs, Idrissi, Abdenacer, 2017

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Facial expression judgments support a sociorelational model, rather than a negativity bias model of political psychology

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