Longer pre-change sampling durations shorten reaction times to sound texture changes
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…, 3285
Categorization
Category: Causal Relationships
Related
- Longer pre-change listening both boosts accuracy and speeds responses. (similarity 0.92)
- Longer pre-change sampling durations speed auditory change detection. (similarity 0.92)
- Longer pre-change observation improves initial-statistic estimation and speeds detection. (similarity 0.91)
- Larger stimulus changes are detected reliably after shorter observation times (similarity 0.87)
- Larger statistical changes are detected sooner and with less listening time. (similarity 0.87)
- Larger statistical changes in textures are detected sooner and more often (similarity 0.86)
- Larger statistical changes produce faster and more certain auditory detection (similarity 0.86)
- Longer listening time to initial texture statistics improves change detection up to an asymptote (similarity 0.86)
- Detecting statistical changes in sound improves with listening time and change size (similarity 0.86)
- Larger change sizes and longer sampling improve texture change detection (similarity 0.85)
- Larger statistical changes produce faster and more concentrated reaction time distributions (similarity 0.85)
- Listeners reach perceptual certainty faster for larger auditory changes. (similarity 0.85)
- Time available for integrating evidence is the main predictor of change detection success (similarity 0.83)
- Change-detection sensitivity rises with observation time but stays low for small changes. (similarity 0.83)
- Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants. (similarity 0.83)