@inproceedings{arnold-kim-2025-interaction,
    title = "Interaction-Required Suggestions for Control, Ownership, and Awareness in Human-{AI} Co-Writing",
    author = "Arnold, Kenneth C.  and
      Kim, Jiho",
    editor = "Padmakumar, Vishakh  and
      Gero, Katy  and
      Wambsganss, Thiemo  and
      Sterman, Sarah  and
      Huang, Ting-Hao  and
      Zhou, David  and
      Chung, John",
    booktitle = "Proceedings of the Fourth Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2025)",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico, US",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.in2writing-1.6/",
    doi = "10.18653/v1/2025.in2writing-1.6",
    pages = "62--68",
    ISBN = "979-8-89176-239-8",
    abstract = "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 agent{'}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."
}