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Post-deployment psychometric-biometric drift monitoring

Drift monitoring links psychometric parameters to response-process and device/stimulus context. A flag is a governance signal for review, not evidence that an item has leaked or been compromised.

spec <- process_drift_spec(
  baseline = "first_batch",
  difficulty_limit = 0.40,
  gaze_validity_drop = 0.10,
  luminance_limit = 25
)

drift <- audit_process_drift(
  deployment_monitor,
  item = "item_id",
  batch = "deployment_batch",
  metrics = c(
    "irt_difficulty", "irt_discrimination", "rt_ms", "dwell_ms",
    "pupil_bc", "valid_gaze_prop", "screen_luminance"
  ),
  spec = spec
)

process_drift_alerts(drift)
plot(drift, type = "trajectory", metric = "irt_difficulty")
plot(drift, type = "delta", metric = "dwell_ms")
plot(drift, type = "heatmap")
plot(drift, type = "control", metric = "valid_gaze_prop")

Stratified helpers support device, site, vendor, and stimulus-version audits:

drift_by_device(deployment_monitor, device = "device_id")
drift_by_site(deployment_monitor, site = "site_id")
drift_by_vendor(deployment_monitor, vendor = "vendor")
drift_by_stimulus_version(deployment_monitor, stimulus_version = "stimulus_version")

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.