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相关概念视频

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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.
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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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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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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
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Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
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以知识为导向的标签分发校准,用于联合情感计算.

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    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 情感计算是一种情感计算.

    背景情况:

    • 联合学习 (FL) 解决了情感计算中的数据隐私问题.
    • 传统的FL在客户之间与个性化情绪数据变化作斗争.
    • 在当前的联合情感计算 (FAC) 中存在隐私-实用性悖论.

    研究的目的:

    • 提出一个框架,增强联邦情感计算 (FAC).
    • 解决情绪识别中的隐私-实用性悖论.
    • 为了提高FL在个性化情感数据场景中的表现.

    主要方法:

    • 提出了一种情感半球 (EH) 表示结构,以统一全球特征空间.
    • 利用情感的先前知识进行特征空间校准.
    • 在服务器端使用规范化参数重要性矩阵进行指导模型聚合.

    主要成果:

    • 该框架显著提高了联合情感计算的性能.
    • 通过对三个情感数据集进行广泛的实验,证明了有效性和实用性.
    • 缓解了因标签分布偏差而导致的全球模型缓慢融合的问题.

    结论:

    • 拟议的框架通过解决数据隐私和实用性挑战,有效地增强了联合的情感计算.
    • 在EH表示和指导聚合提高模型性能和趋同.
    • 这种方法为保护隐私的情绪识别提供了一个实际的解决方案.