Longer listening time to initial texture statistics improves change detection up to an asymptote

Evidence

The ability of subjects to detect a change in stimulus statistics (Fig. 1a ) improved with the time they were allowed to listen to the initial statistics of the texture (Fig. 1d , progression along ordinate, performance measured as hit rate, p < 10‑6 , Friedman test). Hit rate increased monotonically to an asymptotic level for all change sizes (4 levels, [50, 80, 110, 140] %). Asymptotic hit rate depended on the change size, with bigger changes in marginal probability leading to greater asymptotic hit rate (Fig. 1d , different colours). Although asymptotic hit rate was above chance (26.6 %) for all change sizes, the increase with change size was large and significant (from 50 to 95 %, p < 10‑7 , Friedman test). — Dijk, Pim van, Physiology, Psychoacoustics and…, 3328

Categorization

Category: Factual Claims

Related

• Detecting statistical changes in sound improves with listening time and change size (similarity 0.94)
• Longer pre-change sampling durations speed auditory change detection. (similarity 0.93)
• Detection of statistical change requires temporal integration of the marginal distribution (similarity 0.93)
• Larger statistical changes in textures are detected sooner and more often (similarity 0.90)
• Auditory change detection integrates statistical evidence accumulated over time (similarity 0.88)
• Change-detection sensitivity rises with observation time but stays low for small changes. (similarity 0.88)
• Larger statistical changes are detected sooner and with less listening time. (similarity 0.88)
• Human change detection follows a statistical-integration model as estimation precision improves with observation (similarity 0.87)
• Listeners detect statistical changes in ongoing sound based on time available for evidence integration (similarity 0.87)
• Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants. (similarity 0.87)
• Larger statistical changes produce faster and more certain auditory detection (similarity 0.86)
• Larger statistical changes produce faster and more concentrated reaction time distributions (similarity 0.86)
• Longer pre-change sampling durations shorten reaction times to sound texture changes (similarity 0.86)
• Larger stimulus changes produce faster and more certain perceptual decisions. (similarity 0.85)
• Longer pre-change observation improves initial-statistic estimation and speeds detection. (similarity 0.85)

Broader Connections

• Longer pre-change observation improves initial-statistic estimation and speeds detection. #expands (0.90)
• Detecting changes in auditory textures depends mainly on integration time available #expands (0.85)
• Change-detection sensitivity rises with observation time but stays low for small changes. #expands (0.82)