Longer pre-change observation improves initial-statistic estimation and speeds detection.

Evidence

As a function of change time, the reaction time distribution changed in a qualitatively similar manner, however, less pronounced (Fig. 2e ). Median reaction times correlated negatively with change times, mirroring dependence of hit rate on change times (p < 0.001; Fig. 2f ). This dependence can already be seen in the raw data (Fig. 1c ), where hit trials (black) for longer change times exhibit shorter reaction times. Again the onset time decreased correspondingly with longer change time, suggesting more accurate estimation of the initial statistics. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3339

Categorization

Category: Causal Relationships

Related

• Longer pre-change listening both boosts accuracy and speeds responses. (similarity 0.94)
• Longer pre-change sampling durations shorten reaction times to sound texture changes (similarity 0.91)
• Longer pre-change sampling durations speed auditory change detection. (similarity 0.91)
• Larger stimulus changes are detected reliably after shorter observation times (similarity 0.89)
• Larger statistical changes are detected sooner and with less listening time. (similarity 0.88)
• Change-detection sensitivity rises with observation time but stays low for small changes. (similarity 0.86)
• Larger statistical changes produce faster and more certain auditory detection (similarity 0.86)
• Time available for integrating evidence is the main predictor of change detection success (similarity 0.86)
• Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants. (similarity 0.85)
• Larger statistical changes produce faster and more concentrated reaction time distributions (similarity 0.85)
• Longer listening time to initial texture statistics improves change detection up to an asymptote (similarity 0.85)
• Larger stimulus changes produce faster and more certain perceptual decisions. (similarity 0.84)
• Reaction times reveal how listeners estimate post-change statistics in integration tasks. (similarity 0.84)
• Larger statistical changes in textures are detected sooner and more often (similarity 0.82)
• Exponential change-time distributions prevent listeners from exploiting timing strategies. (similarity 0.82)