AI改写邮件语气影响接收者行为:121人随机交叉现场实验

Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement

精选理由

这篇论文不是教你怎么用AI写邮件,而是用真实实验数据告诉你:AI改写邮件语气不会直接提高回复率,但会让读邮件的人感觉更积极,从而更愿意打开和回复。

AI 摘要

一篇发表于arXiv的现场实验研究了AI辅助写作对职场邮件接收者行为的影响。121名员工在3周内发送了16,880封邮件,对比无辅助、GPT-5俏皮改写和GPT-5专业改写三种条件。俏皮改写使情绪正向性提升(B=+0.068, p<0.001),专业改写则降低(B=-0.041, p<0.001)。但两种改写均未直接改变邮件打开率、回复率或响应时间。进一步分析发现,发件人的情绪正向性显著预测打开(OR=2.05)和回复(OR=3.32, p<0.001),表明AI通过改变语言情感间接影响行为。

原文 · arXiv cs.AI

Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement

Large language models (LLMs) are rapidly reshaping workplace communication, yet whether AI-assisted writing changes how recipients actually behave, and through what channel, remains unknown. Here, in a randomized crossover field experiment, 121 employees across six companies sent work emails under three conditions over three weeks: unaided writing, GPT-5 rewriting in a playful tone, and GPT-5 rewriting in a professional tone. Across 16,880 emails, playful editing increased emotional positivity (B=+0.068, p<0.001), and professional editing decreased it (B=-0.041, p<0.001), yet neither condition directly altered open rates, reply rates, or response times. Instead, within-sender positivity strongly predicted both opening (OR=2.05) and replying (OR=3.32, p<0.001), a significant indirect pathway through which AI editing shaped behavior, in the absence of any direct effect. These findings suggest that AI-assisted communication shapes workplace engagement not through its use, but through the emotional tone of the language it produces.

AI改写邮件语气影响接收者行为:121人随机交叉现场实验 · AI 热点