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相关概念视频

Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

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Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
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Attitudes01:54

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Attitude is our evaluation of a person, an idea, or an object. We have attitudes for many things ranging from products that we might pick up in the supermarket to people around the world to political policies. Typically, attitudes are favorable or unfavorable: positive or negative (Eagly & Chaiken, 1993). And, they have three components: an affective component (feelings), a behavioral component (the effect of the attitude on behavior), and a cognitive component (belief and knowledge;...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Surveys02:16

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Prediction Intervals01:03

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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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相关实验视频

Updated: Jul 26, 2025

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
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用自然语言数据预测隐含的态度.

Sudeep Bhatia1, Lukasz Walasek2

  • 1Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104-6018.

Proceedings of the National Academy of Sciences of the United States of America
|June 12, 2023
PubMed
概括
此摘要是机器生成的。

这项研究将语言数据与心理词语规范相结合,以预测隐含的态度,比以前的方法更高的准确性. 这种方法增强了对人类思想和情感的计算建模.

关键词:
计算建模计算建模隐性关联测试 隐性关联测试隐含的态度 隐含的态度自然语言处理自然语言处理.词嵌入 词嵌入 词嵌入

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科学领域:

  • 计算语言学计算语言学
  • 心理学 心理学 心理学
  • 认知科学是一种认知科学.

背景情况:

  • 大规模的语言数据集和自然语言处理 (NLP) 为理解人类认知和行为提供了新的途径.
  • 测量隐性态度的传统方法有局限性.

研究的目的:

  • 开发和验证一种用于预测隐性态度的新方法.
  • 提高人类态度的计算模型的准确性.
  • 探索语言,明确态度和隐含态度之间的关系.

主要方法:

  • 整合来自大型语言数据集的表示与基于实验室的词语规范.
  • 将组合方法的预测与已确定的隐性态度相关联.
  • 将新方法的预测能力与现有的方法和明确态度指标进行比较.

主要成果:

  • 提出的方法显著改善了对各种概念隐含态度的预测.
  • 与现有的计算方法相比,这种方法显示出更高的预测准确性.
  • 该模型捕捉了隐性态度中独特的差异,而不是通过明确的态度来解释.

结论:

  • 结合语言和心理数据,提供了一种强大的新方法来衡量隐含的态度.
  • 这种综合方法在心理学和认知科学中推进了计算建模.
  • 这些发现为更准确地了解人们潜在的想法和感受提供了基础.