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
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 48%Large Tabular Models Excel Where LLMs Fail →
- LinkedLinked via arxiv author · 85%Ziv Ben-Zion →
“Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement”
- LinkedLinked via arxiv author · 85%Teddy Lazebnik →
“Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement”
