English

Do Conversational Interfaces Limit Creativity? Exploring Visual Graph Systems for Creative Writing

Human-Computer Interaction 2025-07-14 v1

Abstract

We present a graphical, node-based system through which users can visually chain generative AI models for creative tasks. Research in the area of chaining LLMs has found that while chaining provides transparency, controllability and guardrails to approach certain tasks, chaining with pre-defined LLM steps prevents free exploration. Using cognitive processes from creativity research as a basis, we create a system that addresses the inherent constraints of chat-based AI interactions. Specifically, our system aims to overcome the limiting linear structure that inhibits creative exploration and ideation. Further, our node-based approach enables the creation of reusable, shareable templates that can address different creative tasks. In a small-scale user study, we find that our graph-based system supports ideation and allows some users to better visualise and think through their writing process when compared to a similar conversational interface. We further discuss the weaknesses and limitations of our system, noting the benefits to creativity that user interfaces with higher complexity can provide for users who can effectively use them.

Keywords

Cite

@article{arxiv.2507.08260,
  title  = {Do Conversational Interfaces Limit Creativity? Exploring Visual Graph Systems for Creative Writing},
  author = {Abhinav Sood and Maria Teresa Llano and Jon McCormack},
  journal= {arXiv preprint arXiv:2507.08260},
  year   = {2025}
}

Comments

Published in the 16th International Conference on Computational Creativity, ICCC25. Accepted Paper in https://computationalcreativity.net/iccc25/wp-content/uploads/papers/iccc25-sood2025conversational.pdf

R2 v1 2026-07-01T03:55:55.193Z