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Quality, Provenance, and Responsible Interpretation

Eye and physiological signals are observations. They do not identify mental states without a defensible measurement model and external validation.

validate_eye_dataset(x)
audit_sampling_rate(x)
audit_signal_quality(x)
audit_pupil_quality(x)
audit_trial_coverage(x)
audit_missingness(x)
analysis_readiness(x)
interpretive_warnings()

The package does not automatically equate:

fixation with attention;
long dwell time with item difficulty;
pupil dilation with cognitive load;
rapid response with guessing;
EDA with a uniquely identified emotional state;
a statistical process component with effort or engagement.

Reproducible records

provenance_manifest(x)
write_provenance(x, "provenance.json", format = "json")
report_eye_dataset(x, "analysis-report.md", include_plots = TRUE)

Exploratory and confirmatory analyses should use separately declared feature, preprocessing, AOI, exclusion, and model specifications.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.