Jokeasy: Exploring Human-AI Collaboration in Thematic Joke Generation
Yate Ge, Lin Tian, Chiqian Xu, Luyao Xu, Meiying Li, Yuanda Hu, and Weiwei Guo

TL;DR
Jokeasy is a novel interactive system that enhances human-AI collaboration in thematic joke creation by integrating web content retrieval, visual organization, and multi-stage editing, supporting creative control and ideation.
Contribution
This work introduces Jokeasy, a search-enabled, visual, multi-stage joke writing system that improves human-AI collaboration and author agency in thematic joke generation.
Findings
Web content integration enriches joke ideation.
Participants valued real-time web material for creativity.
Identified needs for better search control and interface improvements.
Abstract
Thematic jokes are central to stand-up comedy, sitcoms, and public speaking, where contexts and punchlines rely on fresh material - news, anecdotes, and cultural references that resonate with the audience. Recent advances in Large Language Models (LLMs) have enabled interactive joke generation through conversational interfaces. Although LLMs enable interactive joke generation, ordinary conversational interfaces seldom give creators enough agency, control, or timely access to such source material for constructing context and punchlines. We designed Jokeasy, a search-enabled prototype system that integrates a dual-role LLM agent acting as both a material scout and a prototype writer to support human-AI collaboration in thematic joke writing. Jokeasy provides a visual canvas in which retrieved web content is organized into editable inspiration blocks and developed through a multistage…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHumor Studies and Applications · Artificial Intelligence in Games · Multimodal Machine Learning Applications
