Standard signal-detection measures fail for time-evolving detection tasks

Evidence

Classical d’ analysis does not apply in the present dynamic decision paradigm, since the eventual outcome of a trial is not accessible at early times (i.e. when computing d’(0.5 s), a trial with a hit at 5 s should not be counted as a hit, but as a ‘correct reject up to 0.5 s; but when computing d’(4 s), the same trial will be counted as a hit). — Dijk, Pim van, Physiology, Psychoacoustics and…, 3327

Categorization

• DEFINE: Explains why a time-dependent d’ measure is needed; classical d’ assumes the whole trial outcome is known at decision time.
• corroborated: 3 independent passages support this claim — Dijk, Pim van, Physiology, Psychoacoustics and…, 3327
• XREF: connects to: Signal detection theory originated in WWII radar plane detection — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 887; Exponential change-time distributions prevent timing strategies in detection tasks; Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants. (+7 more)

Broader Connections

• Exponential change-time distributions prevent timing strategies in detection tasks #expands (0.85)
• Long-term averaging obscures transient attack and release sounds #expands (0.85)
• Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants. #qualifies (0.80)
• Energy-based models of modulation filterbanks fail to predict interferer effects on detection #expands (0.80) — Dijk, Pim van, Physiology, Psychoacoustics and…, 3494
• Statistically-driven change detection may improve when attention is withdrawn. #corroborates (0.75)
• Naive signal-difference models misjudge perceived quality under variable delay #expands (0.75)
• Cochlear gain loss can compensate for temporal coding deficits in AM detection #complicates (0.75) — Dijk, Pim van, Physiology, Psychoacoustics and…, 5904