R0043/2026-03-28/Q001/SRC01
Parasuraman & Manzey (2010) — Foundational integrated model of complacency and automation bias
Source
| Field |
Value |
| Title |
Complacency and Bias in Human Use of Automation: An Attentional Integration |
| Publisher |
Human Factors |
| Author(s) |
Raja Parasuraman, Dietrich H. Manzey |
| Date |
2010 |
| URL |
https://journals.sagepub.com/doi/10.1177/0018720810376055 |
| Type |
Research paper (peer-reviewed journal article) |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Foundational paper in human factors literature with 1000+ citations; authors are leading researchers in the field; published in the top human factors journal |
| Relevance |
Directly defines and distinguishes the two most important cross-domain terms: automation bias and automation complacency, which are the primary regulated-industry equivalents of AI sycophancy |
| Bias flags |
No significant bias concerns; comprehensive literature review methodology |
| Evidence ID |
Summary |
| SRC01-E01 |
Integrated model distinguishing automation bias (active decision bias toward automation output) from automation complacency (passive monitoring failure) |