AI for Revision
Vision
We’re reimagining how AI can support the writing process while preserving the authenticity of human authorship. Building on our previous work with Textfocals1—an AI writing assistant that offers adaptive feedback through customizable prompts—we’re exploring new frontiers in human-AI writing collaboration.
Our research investigates two critical questions at the intersection of AI and writing:
- We’re examining the relationship between AI-assisted reflection and direct revision, seeking to understand which approaches best serve writers while maintaining their creative autonomy.
- We’re exploring how different interaction modes—particularly speech versus text—affect the depth and quality of the writing reflection process.
This work aims to advance our understanding of how AI can enhance the writing experience while preserving what matters most: the writer’s sense of ownership, agency, and authentic creative expression. Our findings will contribute to the broader conversation about designing AI systems that truly serve human needs and creativity.
Team
Jiho Kim is a senior computer science student who is spearheading this project to be submitted to the Department of Computer Science at Calvin University as a partial fulfillment of his BCS in Computer Science.
Philippe Laban is a senior research scientist at Microsoft Research, and Xiang ‘Anthony’ Chen is an associate professor of electrical and computer engineering and computer science at the University of California, Los Angeles. They are both outside collaborators co-advising Jiho on this project.
Kenneth C. Arnold is an assistant professor of computer science and data science at Calvin University who is serving as the primary advisor on this project.
Code
Not yet public.
Report
Misc
This research is supported by NSF CRII award 2246145.