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Main Authors: Arnold, Kenneth C., Kim, Jiho
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.08726
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author Arnold, Kenneth C.
Kim, Jiho
author_facet Arnold, Kenneth C.
Kim, Jiho
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2504_08726
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Interaction-Required Suggestions for Control, Ownership, and Awareness in Human-AI Co-Writing
Arnold, Kenneth C.
Kim, Jiho
Human-Computer Interaction
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.
title Interaction-Required Suggestions for Control, Ownership, and Awareness in Human-AI Co-Writing
topic Human-Computer Interaction
url https://arxiv.org/abs/2504.08726