From Planning to Revision: How AI Writing Support at Different Stages Alters Ownership

Abstract

Although AI assistance can improve writing quality, it can also decrease feelings of ownership. Ownership in writing has important implications for attribution, rights, norms, and cognitive engagement, and designers of AI support systems may want to consider how system features may impact ownership. We investigate how the stage at which AI support for writing is provided (planning, drafting, or revising) changes ownership. In a study of short essay writing (between subjects, n = 253) we find that while any AI assistance decreased ownership, planning support only minimally decreased ownership, while drafting support saw the largest decrease. This variation maps onto the amount of text and ideas contributed by AI, where more text and ideas from AI decreased ownership. Notably, an AI-generated draft based on participants' own outline resulted in significantly more AI-contributed ideas than AI support for planning. At the same time, more AI contributions improved essay quality. We propose that writers, educators, and designers consider writing stage when introducing AI assistance.

References in corpus (21)

• Generative artificial intelligence enhances creativity but reduces the diversity of novel content
• CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
• The AI Ghostwriter Effect: When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors
• Homogenization Effects of Large Language Models on Human Creative Ideation
• Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
• A Design Space for Intelligent and Interactive Writing Assistants
• DirectGPT: A Direct Manipulation Interface to Interact with Large Language Models
• Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process
• Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools
• Timing Matters: How Using LLMs at Different Timings Influences Writers' Perceptions and Ideation Outcomes in AI-Assisted Ideation
• AI Rivalry as a Craft: How Resisting and Embracing Generative AI Reshape Writing Professions
• Textoshop: Interactions Inspired by Drawing Software to Facilitate Text Editing
• GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agency
• The Widespread Adoption of Large Language Model-Assisted Writing Across Society
• The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
• How Problematic Writer-AI Interactions (Rather than Problematic AI) Hinder Writers' Idea Generation
• Technical Report on the Pangram AI-Generated Text Classifier
• Phraselette: A Poet's Procedural Palette
• The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing
• From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized Tests
• Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild