This comprehensive review delves into Electroencephalogram (EEG) applications for assessing human experiences in thermal environments, focusing on thermal perception, cognition, and emotions. Our analysis categorizes EEG studies into statistical investigations and discrimination models. Statistical studies, encompassing various frequency bands and indices, yield inconclusive outcomes due to diverse findings. Discrimination models employ a diverse range of EEG features tailored to specific experimental conditions. The lack of a consistent knowledge foundation on EEG's spectral and topographical properties to distinct aspects of human thermal experience, along with the absence of a universally recognized thermal perception index and variations in defining cognition and emotion indices, contributes to this diversity. Through a thorough examination of methodological aspects, including experimental and data analysis approaches, our review exposes significant gaps and limitations in current thermal experience research. The paper proposes key recommendations to advance the field, emphasizing the importance of a comprehensive environmental portrayal, standardized perceptual descriptors, multidomain studies, and dynamic thermal research. Advocating for investigations into individual thermal variable influences, within-subject experiments, and addressing cognitive interferences, the review also highlights the need for improved data granularity, standardized EEG protocols, and a broader exploration of EEG analysis methods. Addressing these aspects is vital for establishing a more consistent knowledge base, enhancing research reliability, and improving result communication. Our findings contribute to a deeper understanding of human thermal experience, providing recommendations to bridge identified gaps and limitations, fostering a more robust foundation for future research in this domain.

中文翻译：

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深入表面之下：通过脑电图（EEG）系统回顾人类对室内热环境的体验

这篇全面的综述深入探讨了脑电图 (EEG) 在评估人类在热环境中的体验方面的应用，重点关注热感知、认知和情感。我们的分析将脑电图研究分为统计调查和歧视模型。涵盖不同频段和指数的统计研究由于不同的发现而产生不确定的结果。歧视模型采用针对特定实验条件定制的各种脑电图特征。脑电图的光谱和地形特性与人类热体验的不同方面缺乏一致的知识基础，加上缺乏普遍认可的热感知指数以及定义认知和情感指数的变化，导致了这种多样性。通过对方法论方面（包括实验和数据分析方法）的彻底检查，我们的综述暴露了当前热体验研究中的重大差距和局限性。本文提出了推动该领域发展的关键建议，强调了全面的环境描述、标准化的感知描述符、多领域研究和动态热研究的重要性。该评论提倡对个体热变量影响、受试者内实验和解决认知干扰进行调查，还强调需要改进数据粒度、标准化脑电图协议以及更广泛地探索脑电图分析方法。解决这些问题对于建立更加一致的知识库、提高研究可靠性和改善结果交流至关重要。我们的研究结果有助于更深入地了解人类热体验，提供建议来弥补已发现的差距和局限性，为该领域的未来研究奠定更坚实的基础。