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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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The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
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Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
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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: Sep 14, 2025

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GPT-4能提供人类层面的情感支持吗? 来自基于机器学习的评估框架的见解.

Wanghao Dong1, Weijun Wang1, Xinheng Han2

  • 1Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), 152 Luoyu Road, Hongshan District, Wuhan, Hubei Province, 430079, China; School of Psychology, Central China Normal University, 152 Luoyu Road, Hongshan District, Wuhan, Hubei Province, 430079, China.

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概括

生成型人工智能 (AI) 显示出对心理健康支持的承诺. 有针对性的提示显著提高了GPT-4的效果.

关键词:
情感上的支持.可解释的机器学习在 GPT-4 中使用.大型语言模型.快递工程是指快递的工程.

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科学领域:

  • 人工智能的人工智能
  • 心理健康技术 心理健康技术
  • 计算心理学 计算心理学

背景情况:

  • 全球心理健康服务面临着严重的短缺.
  • 生成型人工智能 (AI) 为心理健康挑战提供了潜在的解决方案.
  • 评估AI的情感支持能力对于其在心理健康中的应用至关重要.

研究的目的:

  • 系统地评估GPT-4的情感支持能力.
  • 探索提高GPT-4的同情心的快速工程策略.
  • 引入一个评估框架,用于评估和优化AI在心理健康.

主要方法:

  • 利用自然语言处理和可解释的机器学习来创建GPT-4的同理心评估模型.
  • 进行了特征敏感性分析,以确定同理心的关键语言驱动因素.
  • 开发了基于同情心和帮助技能理论的有针对性的提示工程策略.

主要成果:

  • 不被提示的GPT-4表现出相当大的同情心,但并不等同于人类顾问.
  • 与未被提示的状态相比,迅速设计的GPT-4在情绪支持方面显著改善.
  • 促使GPT-4在处理愤怒,恐惧和厌恶等特定负面情绪方面达到人类水平的表现.

结论:

  • GPT-4显示出作为心理健康情绪支持工具的潜力.
  • 快速工程有效地显著提高AI的情感支持能力.
  • 开发的EEE框架可以评估和完善AI用于心理健康应用.