Interaction-Required Suggestions for Control, Ownership, and Awareness in Human-AI Co-Writing
Kenneth C. Arnold, Jiho Kim · 2025
This paper explores interaction designs for generative AI interfaces that necessitate human involvement throughout the generation process.We argue that such interfaces can promote cognitive engagement, agency, and thoughtful decision-making.Through a case study in text revision, we present and analyze two interaction techniques: (1) using a predictive-text interaction to type the assistant's response to a revision request, and (2) highlighting potential edit opportunities in a document.Our implementations demonstrate how these approaches reveal the landscape of writing possibilities and enable fine-grained control.We discuss implications for human-AI writing partnerships and future interaction design directions.