Large Language Model Use Impact Locus of Control

Jenny Xiyu Fu, Brennan Antone, Kowe Kadoma, Malte Jung
5/16/2025
cs.HCcs.AIcs.CL

No confident code implementation found for this paper.

Abstract

As AI tools increasingly shape how we write, they may also quietly reshape how we perceive ourselves. This paper explores the psychological impact of co-writing with AI on people's locus of control. Through an empirical study with 462 participants, we found that employment status plays a critical role in shaping users' reliance on AI and their locus of control. Current results demonstrated that employed participants displayed higher reliance on AI and a shift toward internal control, while unemployed users tended to experience a reduction in personal agency. Through quantitative results and qualitative observations, this study opens a broader conversation about AI's role in shaping personal agency and identity.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{fu2025large,
  title  = {Large Language Model Use Impact Locus of Control},
  author = {Jenny Xiyu Fu and Brennan Antone and Kowe Kadoma and Malte Jung},
  year   = {2025},
  eprint = {2505.11406},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2505.11406v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2505.11406.svg)](https://codeofpaper.com/paper/2505.11406)

Discussion