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相关概念视频

Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

373
Stanley Schachter and Jerome Singer proposed the two-factor theory of emotion, which emphasizes the interplay between physiological arousal and cognitive labeling in forming emotional experiences. This theory suggests that emotions are not simply a result of physiological responses but rather a combination of these responses and the individual's cognitive interpretation of them.
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences...
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Cause and Effect01:53

Cause and Effect

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Empathy02:34

Empathy

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Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
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Introduction to Motivation and Emotion01:29

Introduction to Motivation and Emotion

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Motivation is a multifaceted process that drives behavior toward fulfilling various physiological or psychological needs. This process involves initiating, guiding, and maintaining specific actions influenced by internal and external factors. For example, when someone feels hungry while watching television, hunger is a motivator, prompting the individual to get up, walk to the kitchen, and find something to eat. In this instance, hunger initiates and sustains the behavior necessary to meet the...
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Labeling Emotion01:20

Labeling Emotion

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Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
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相关实验视频

Updated: Jun 24, 2025

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
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统一情感导向和因果导向的预测,用于情感-因果对提取.

Guimin Hu1, Yi Zhao2, Guangming Lu2

  • 1University of Copenhagen, Copenhagen, Denmark.

Neural networks : the official journal of the International Neural Network Society
|June 12, 2024
PubMed
概括

这项研究引入了一种新的情感原因对提取 (ECPE) 的统一架构,利用双向预测任务 (EoCP和CoEP) 提高性能. 新模型在公共数据集上取得了最先进的结果,特别是在复杂的多重情感原因对提取方面.

关键词:
双向提取系统 双向提取系统情绪导致分析分析.情感引起的情感原因对提取情绪分析是一种情绪分析.

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科学领域:

  • 自然语言处理自然语言处理.
  • 计算语言学 计算语言学
  • 人工智能的人工智能

背景情况:

  • 情绪-原因对提取 (ECPE) 在文本中识别情绪及其原因,没有明确的情绪注释.
  • 现有的方法往往忽略了情感和因果句之间的双向关系.
  • 这种局限性阻碍了对情绪因果关系的全面理解和提取.

研究的目的:

  • 为ECPE提出一种新的统一架构,利用情感因果关系的双向性质.
  • 将ECPE重新定义为一个闭环结构检测问题,以解决条款不匹配问题.
  • 通过提取对的信心估计程序来增强模型培训.

主要方法:

  • 引入了两个新任务:情感导向的因果预测 (EoCP) 和因果导向的情感预测 (CoEP).
  • 开发了一个统一的单链架构,集成EoCP和CoEP单元.
  • 制定ECPE作为一个闭环结构检测问题.
  • 实施了培训的信心估计程序.

主要成果:

  • 拟议的统一架构在两个公共数据集上实现了最先进的性能.
  • 在提取多个情感原因对方面表现出显著的改进.
  • 双向方法和闭环配方被证明是有效的.

结论:

  • 新的统一架构显著提升了情感原因对提取的最新技术.
  • 双向预测任务 (EoCP,CoEP) 和闭环方法有效地解决了以前方法的局限性.
  • 该模型在涉及多种情绪-原因对的复杂场景中显示出特殊的强度.