activity
20242026
most citedHomogenization Effects of Large Language Models on Human Creative Ideation

158 citations · 158 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2026

What Is the Role for Humans in Creative Writing? Creativity and Diversity in Human-AI Collaboration

Chenyi Li, Haoyu Hu, Raja Marjieh +5

As AI agents increasingly participate in creative teamwork, writing emerges from hybrid human-AI teams. Although AI can improve the creativity of individual outputs, these gains ma…

cs.HC2026

Trinketry: Materializing Elements to Anchor Traceable Design Histories

Wen-Fan Wang, Yi-Ting Chiu, You-Yi Hsieh +2

Generative tools enable visual designers to rapidly explore diverse design directions---but as flawed generated outputs proliferate, designers may lose track of promising ideas and…

cs.HC2026

Scientific Visualization as a Collaborative Data Infrastructure

Jasmine Tan Otto, Alexandra Diehl, Max Kreminski +1

Scientific visualization is an active site of infrastructuring with many layers of data and evidential claims. This paper reflects on collaborative Mars geoscience research conduct…

cs.CL2025

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective

Yi Wang, Max Kreminski

Story generation has been a prominent application of Large Language Models (LLMs). However, understanding LLMs' ability to produce high-quality stories remains limited due to chall…

cs.HC2024★ 158 cited

Homogenization Effects of Large Language Models on Human Creative Ideation

Barrett R. Anderson, Jash Hemant Shah, Max Kreminski

Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas. But…