"Oops! ChatGPT is Temporarily Unavailable!": A Diary Study on Knowledge Workers’ Experiences of LLM Withdrawal

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Authors: Eunseo Oh, Suyoun Lee, Jae Young Choi, Soobin Park, Youn-kyung Lim
Cited by: 1
References: 35

Abstract

LLMs have become deeply embedded in knowledge work, raising concerns about growing dependency and the potential undermining of human skills. To investigate the pervasiveness of LLMs in work practices, we conducted a four-day diary study with frequent LLM users (N=10), observing how knowledge workers responded to a temporary withdrawal of LLMs. Our findings show how LLM withdrawal disrupted participants’ workflows by identifying gaps in task execution, how self-directed work led participants to reclaim professional values, and how everyday practices revealed the extent to which LLM use had become inescapably normative. Conceptualizing LLMs as infrastructural to contemporary knowledge work, this research contributes empirical insights into the often invisible role of LLMs and proposes value-driven appropriation as an approach to supporting professional values in the current LLM-pervasive work environment.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in Service Interactions Ethics and Social Impacts of AI

Publication details

Journal / source
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–6
Publication date
13 April 2026