OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting EICS009
The rise of large language models (LLMs) has given rise to a class of prompt-based interactive systems where users primarily express their input in natural language. However, composing a prompt as a linear text string becomes unwieldy when capturing users’ multifaceted intents. We present Object-Oriented Prompting ( OOPrompt ) , an emergent interaction paradigm that enables users to create, edit, iterate, and reuse prompts as structured, manipulable artifacts, unifying and generalizing several existing point systems. We first outlined a design space from existing work and built an early prototype, which we deployed as a probe in a formative study with 20 participants. Their feedback informed an expanded OOPrompt design space. We then developed the full OOPrompt prototype and conducted a validation study to further understand OOPrompt ’s added values and trade-offs. We expect the OOPrompt design space to provide theoretical and empirical guidance to the design and engineering of prompt-based, LLM-enabled interactive systems.
Authors
- Xiang Chen (ORCID: https://orcid.org/0000-0002-8527-1744)
- Tengyou Xu
- Detao Ma
Institutions
- UCLA Health (US)
- HealthCare Interactive (US)
Publication Details
- Journal
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2026-06-29
- DOI
- https://doi.org/10.1145/3816761
- Primary Topic
- Usability and User Interface Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00