AI Personalization Paradox: Reading Highlights for Personalized AI-Assisted Writing Increases Engagement but Undermines Autonomy and Ownership

要旨

AI-assisted writing raises concerns about autonomy and ownership when benefiting writers. Personalization has been proposed as an effective solution while also risking writers' reliance on AI and behavior shifting. For better personalization design, existing studies rely on interaction and information solely within the writing phase; however, few studies have examined how reading behaviors can inform personalized writing. This study investigates the effects of integrating reading highlights for personalization on AI-assisted writing. A between-subjects study with 46 participants revealed that the personalization condition encouraged participants to produce more highlights. However, highlighting unexpectedly shifted from a sense-making strategy to an instrumental act of "feeding the AI," leading to significant reliance on AI and declines in writers' sense of autonomy, ownership, and self-credit. These findings indicate personalization risks in AI-assisted writing, emphasize the importance of personalization strategies, and provide design implications.

著者
Peinuan Qin
National University of Singapore, Singapore, Singapore
Chi-Lan Yang
The University of Tokyo, Tokyo, Japan
Nattapat Boonprakong
National University of Singapore, Singapore, Singapore
Jingzhu Chen
Tongji University, Shanghai, China
Yugin Tan
National University of Singapore, Singapore, Singapore
YI-CHIEH LEE
National University of Singapore, Singapore, Singapore

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Social Intelligence & Human-Agent Dynamics

P1 - Room 123
7 件の発表
2026-04-16 18:00:00
2026-04-16 19:30:00