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在人工智能系统中探索情绪智能:对情绪识别和响应机制的全面分析

Jale Narimisaei¹, Mahdi Naeim², Shima Imannezhad³

¹Department of Computer, Energy and Data Science Faculty, Behbahan Khatam Alanbia University of Technology, Behbahan.

Annals of medicine and surgery (2012)

|August 9, 2024

概括

人工智能 (AI) 在识别和响应人类情绪方面取得了进展. 对人工智能情绪智能 (EI) 的进一步研究旨在创建更富同情心和响应机器,以改善人与计算机的互动.

科学领域:

人工智能的人工智能
人与计算机的交互
情感计算是一种情感计算.

背景情况:

情绪智能 (EI) 集成到人工智能系统中是一个不断增长的领域.
当前的人工智能系统在准确识别和响应各种人类情绪方面面临着挑战.
深度学习和多式联络数据的进步正在改善情绪识别能力.

研究的目的:

在AI中全面审查情绪识别和响应机制的状态.
探索将EI整合到AI中的进展,挑战和伦理考虑.
确定未来的研究方向,以提高人工智能的情感智能.

主要方法:

采用了一种全面的文献审查方法.
在主要的学术数据库 (PubMed,Scopus,Web of Science) 中进行了系统的搜索.
数据综合和对相关研究的批判性评估为研究结果提供了信息.

主要成果:

在使用深度学习和多式联络数据的AI情感识别方面取得了重大进展.
关键的挑战包括人类表情的变化和实时处理的需要.
整合上下文信息和个体特征可以提高AI对人类情绪的理解.
确定了有关隐私和培训数据中的偏见的伦理问题.

结论:

人工智能情绪识别和响应机制已经进步,但挑战仍然存在.
未来的研究应该专注于稳定性,可解释性,跨文化理解和长期情绪跟踪.
进一步开发AI中的EI可以导致更具同情心和响应能力的机器,促进更深层次的人与计算机的联系.

关键词:

人工智能的人工智能是人工智能.深度学习是一种深度学习.情感识别情感识别情感识别情感表示情感表现情绪智能 (Emotional Intelligence) 是一种情绪化的智能.

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