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相关概念视频

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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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Stereotype Content Model02:16

Stereotype Content Model

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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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Language01:16

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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Modeling in Therapy01:26

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

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During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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大型语言模型和同理心:系统审查.

Vera Sorin1, Dana Brin2,3, Yiftach Barash2,3,4

  • 1Department of Radiology, Mayo Clinic, Rochester, MN, United States.

Journal of medical Internet research
|December 11, 2024
PubMed
概括
此摘要是机器生成的。

大型语言模型 (LLM) 在表现同情心,识别情绪和提供支持方面表现有前途. 虽然LLM表现出认知同情,但需要进一步的研究来完善他们的表现和评估方法.

关键词:
在这里,我们可以看到AIAIAI.聊天GPT 聊天 在GPT 聊天在法律上,LLMs.普里斯玛是什么意思 普里斯玛是什么意思有关认知性的认知.情绪智能 (Emotional Intelligence) 是一种情绪化的智能.这些都是情绪,情绪.同理心同理心同情心基础模型 基础模型医疗保健 医疗保健 医疗保健 医疗保健人类评估 人类评估人与人之间的互动.客观指标是客观的指标.审查方法论 审查方法论审查方法 审查方法探测范围 探测范围 探测范围综合合成是一种合成.系统性审查 系统性审查基于文本的基于文本的.

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科学领域:

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

背景情况:

  • 共感在人类互动和医疗保健中至关重要,传统上被认为是人类独特的特征.
  • 大型语言模型 (LLM) 是先进的人工智能系统,其同情能力受到质疑.

研究的目的:

  • 审查现有的关于大语言模型 (LLM) 展示同情能力的文献.
  • 综合在各种背景下与同理心相关的任务中LLM绩效的发现.

主要方法:

  • 从2022年12月到2024年2月,在多个学术数据库 (MEDLINE,Google Scholar,PsyArXiv,medRxiv,arXiv) 进行了全面的文献搜索.
  • 包括英语全长出版物评估LLM输出中的同情心,不包括专门关注同情心的研究.

主要成果:

  • 从2023年开始的12项研究符合标准,主要是评估ChatGPT-3.5并将其与其他LLM如GPT-4和LLaMA进行比较.
  • LLM 展示了同理心的元素,包括情感识别和情感支持,其中一些在特定任务中表现优于人类.
  • 评估方法各不相同,包括自动指标 (例如,蓝色,红色) 和人类主观评估,并指出了诸如重复措辞和快速敏感性等局限性.

结论:

  • LLM表现出认知同情,识别情绪并提供支持性反应,使他们更接近类似人类的互动.
  • 在LLM同理心的进步扩大他们的潜在应用在需要情绪智能的领域.
  • 对软技能的LLM绩效和评估策略进行进一步改进是必要的.