Simulated self-assessment in large language models: A psychometric approach to AI self-efficacy

Daniel I. Jackson, Emma L. Jensen, Syed-Amad Hussain, Emre Sezgin

Open source

DOI
10.1016/j.chbah.2026.100389
Published
2026-08
Container
Computers in Human Behavior: Artificial Humans
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.chbah.2026.100389,
  title = {Simulated self-assessment in large language models: A psychometric approach to AI self-efficacy},
  author = {Daniel I. Jackson and Emma L. Jensen and Syed-Amad Hussain and Emre Sezgin},
  year = {2026},
  journal = {Computers in Human Behavior: Artificial Humans},
  doi = {10.1016/j.chbah.2026.100389},
  url = {https://doi.org/10.1016/j.chbah.2026.100389}
}

RIS

TY  - JOUR
TI  - Simulated self-assessment in large language models: A psychometric approach to AI self-efficacy
AU  - Daniel I. Jackson
AU  - Emma L. Jensen
AU  - Syed-Amad Hussain
AU  - Emre Sezgin
PY  - 2026
JO  - Computers in Human Behavior: Artificial Humans
DO  - 10.1016/j.chbah.2026.100389
UR  - https://doi.org/10.1016/j.chbah.2026.100389
ER  - 

APA

Jackson, D. I., Jensen, E. L., Hussain, S., & Sezgin, E. (2026). Simulated self-assessment in large language models: A psychometric approach to AI self-efficacy. Computers in Human Behavior: Artificial Humans. https://doi.org/10.1016/j.chbah.2026.100389

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