AI语音能自发放慢语速表达礼貌，展现社交默契。
Do AI Voices Learn Social Nuances? A Case of Politeness and Speech Rate
- 让AI在正式与随意提示下朗读同一文本，对比语速变化。
- 所有AI Studio语音和多数OpenAI语音在礼貌场景下明显更慢。
- 适合关注AI社交能力、人机交互设计的研究者阅读。
语音型人工智能日益被期待符合人类社交规范，但它能否习得未明文规定的隐含线索？本研究考察了当前最先进的文本转语音系统是否内化了人类通过降低语速来表达礼貌这一非显性韵律特征。我们要求两个主流AI平台（AI Studio 和 OpenAI）的22个合成语音，在“正式礼貌”与“随意非正式”条件下朗读固定脚本，并测量其语音时长。结果显示，无论哪个平台，礼貌提示下的语音均显著慢于随意提示，效应量极大；该差异在所有AI Studio语音中统计显著，且在多数OpenAI语音中亦显著。结果表明，AI可隐式学习并复现人类交流中的心理细微差别，凸显其作为社会行为体的潜力，能够强化人类社交规范。
原文摘要 · Abstract (English)
Voice-based artificial intelligence is increasingly expected to adhere to human social conventions, but can it learn implicit cues that are not explicitly programmed? This study investigates whether state-of-the-art text-to-speech systems have internalized the human tendency to reduce speech rate to convey politeness - a non-obvious prosodic marker. We prompted 22 synthetic voices from two leading AI platforms (AI Studio and OpenAI) to read a fixed script under both "polite and formal" and "casual and informal" conditions and measured the resulting speech duration. Across both AI platforms, the polite prompt produced slower speech than the casual prompt with very large effect sizes, an effect that was statistically significant for all of AI Studio's voices and for a large majority of OpenAI's voices. These results demonstrate that AI can implicitly learn and replicate psychological nuances of human communication, highlighting its emerging role as a social actor capable of reinforcing human social norms.
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