“微表情识别”真的能测谎吗？
Can 'micro-expression recognition' really detect lies?
微表情是极短的不随意面部抽动，被一些训练宣称能暴露谎言，但严格研究未发现可靠测谎效果。表情与内在情绪并非一一对应，依赖微表情判断诚实既不科学也易误伤。
Micro-expressions are very brief involuntary facial movements touted to expose lies, but rigorous studies find no reliable lie-detection effect. Expressions do not map one-to-one to inner emotion, so judging honesty by them is unscientific and error-prone.
难度 专业 · 适合 高中(15-18)
CC BY 4.0 · 已核验 · Verified 2026-08-23 · 2 条独立证据
来源 · Source
Richard Gerrig Philip Zimbardo,《心理学与生活》第19版中译,人民邮电出版社,2016
R. J. Gerrig and P. G. Zimbardo, Psychology and Life, 19th ed., Chinese ed., Posts & Telecom Press, 2016
独立核验依据 · Independent verification: 核验依据 2 OPENLIBRARY 标识 /works/OL23493W：Psychology and life（按标题+作
#微表情 #测谎 #伪科学
“共情型 AI”真的能理解你的感受吗？
Can 'empathetic AI' truly understand how you feel?
共情型 AI 能基于语言与语调匹配恰当回应、提供陪伴与情绪支持，但它没有真实感受，只是对线索的模式拟合。它可辅助疏导，却不能替代人际共情与专业帮助。
Empathetic AI can match apt responses from language and tone, offering companionship and support, but it has no real feelings—only pattern fitting to cues. It can assist soothing yet cannot replace human empathy or professional help.
难度 进阶 · 适合 大众
CC BY 4.0 · 来源待核验 · Source pending review
来源 · Source
出处备注：本题原挂出处与答案内容不符，已撤回；具体书目待补，暂不展示来源。
本题原挂出处与答案内容不符，已撤回；具体书目待补。
Previous citation withdrawn as unsupported for this answer; a specific source is pending.
#共情AI #陪伴 #局限
计算机如何“识别”人的情绪？
How do computers 'recognize' human emotion?
情感计算综合面部动作编码、语音韵律、生理信号与文本语气，用机器学习把特征映射到情绪类别或维度（效价-唤醒）。它常用于教育、客服与健康监测，但跨文化与个体校准仍是难点。
Affective computing fuses facial action coding, vocal prosody, physiological signals and text tone, using machine learning to map features to emotion categories or dimensions (valence-arousal). Used in education, service and health monitoring, though cross-cultural and individual calibration remain hard.
难度 进阶 · 适合 小学高段(9-12)
CC BY 4.0 · 来源待核验 · Source pending review
来源 · Source
出处备注：本题原挂出处与答案内容不符，已撤回；具体书目待补，暂不展示来源。
本题原挂出处与答案内容不符，已撤回；具体书目待补。
Previous citation withdrawn as unsupported for this answer; a specific source is pending.
#情感计算 #机器学习 #信号
语音里的情绪是怎么被机器听出来的？
How do machines hear emotion in voice?
机器从音高、语速、能量、颤动等声学特征提取情绪线索，再用分类器判断愤怒、快乐、中性等。背景噪声、语种与个体声线会显著影响准确率，因此常需结合文本与语境。
Machines extract emotional cues from pitch, rate, energy and jitter, then classify anger, happiness, neutrality and so on. Background noise, language and individual voice strongly affect accuracy, so text and context are often added.
难度 进阶 · 适合 小学高段(9-12)
CC BY 4.0 · 来源待核验 · Source pending review
来源 · Source
出处备注：本题原挂出处与答案内容不符，已撤回；具体书目待补，暂不展示来源。
本题原挂出处与答案内容不符，已撤回；具体书目待补。
Previous citation withdrawn as unsupported for this answer; a specific source is pending.
#语音 #声学 #情绪识别