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Composable Prompting Workspaces for Creative Writing : Exploration and Iteration Using Dynamic Widgets

Title data

Amin, Rifat Mehreen ; Kühl, Oliver Hans ; Buschek, Daniel ; Butz, Andreas:
Composable Prompting Workspaces for Creative Writing : Exploration and Iteration Using Dynamic Widgets.
In: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. - New York, NY, USA : Association for Computing Machinery , 2025 . - 144
ISBN 979-8-4007-1395-8
DOI: https://doi.org/10.1145/3706599.3720243

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Computergestützte Schreibwerkzeuge
525037874

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Generative AI models offer many possibilities for text creation and transformation. Current graphical user interfaces (GUIs) for prompting them lack support for iterative exploration, as they do not represent prompts as actionable interface objects. We propose the concept of a composable prompting canvas for text exploration and iteration using dynamic widgets. Users generate widgets through system suggestions, prompting, or manually to capture task-relevant facets that affect the generated text. In a comparative study with a baseline (conversational UI), 18 participants worked on two writing tasks, creating diverse prompting environments with custom widgets and spatial layouts. They reported having more control over the generated text and preferred our system over the baseline. Our design significantly outperformed the baseline on the Creativity Support Index, and participants felt the results were worth the effort. This work highlights the need for GUIs that support user-driven customization and (re-)structuring to increase both the flexibility and efficiency of prompting.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Dynamic UI; Prompting; LLM; human-AI co-creation; creativity support
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IX > Chair Applied Computer Science - Univ.-Prof. Dr. Daniel Buschek
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 19 Feb 2026 08:16
Last Modified: 19 Feb 2026 08:16
URI: https://eref.uni-bayreuth.de/id/eprint/96279