Manuscript
When Should People Trust an AI's Recommendation?
A pre-registered design for studying appropriate reliance, compiled directly from the repository's LaTeX source and generated result tables.
Evidence status
The current draft documents a completed experimental design, engine and analysis pipeline, validated only against a labelled participant simulator. No human-subject data have been collected. Every number in the manuscript's results section is generated from the same JSON artefacts shown on this site and is explicitly a simulation result.
manuscript.pdf
132 KB · compiled with tectonic from
paper/main.texStructure
- Abstract
- Introduction
- Related Work
- Research Questions & Hypotheses
- Experimental Design
- Data
- Measures
- Statistical Methods
- Results
- Robustness
- Estimator Validation
- Discussion
- Limitations
- Ethics
- Conclusion
- References
- Appendix
Reproducing every number
make reproduce regenerates the synthetic dataset, all analysis artefacts, all figures, the LaTeX tables under paper/generated/, and recompiles this PDF from the canonical seed — recording the git commit and dataset hash used, so any number here can be traced back to the exact code and data that produced it.