Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants.

Evidence

The above results are consistent with predictions from statistical integration of information. First, unsurprisingly, change detection should improve with greater change sizes. Second, change detection should improve, but saturate, as the estimation of the statistics of the first stimulus converges, i.e. if longer observation time is available. Third, change detection of bigger changes should require less precision in the estimation, translating to higher hit rate already for shorter observation times. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3285 (#expands, via linked claim)

Categorization

• XREF: connects to: Larger statistical changes produce faster and more concentrated reaction time distributions — Dijk, Pim van, Physiology, Psychoacoustics and…, 3324; Standard signal-detection measures fail for time-evolving detection tasks — Dijk, Pim van, Physiology, Psychoacoustics and…, 3327; Auditory change detection integrates statistical evidence accumulated over time — Dijk, Pim van, Physiology, Psychoacoustics and…, 3285 (+1 more)

Related

• Change-detection sensitivity rises with observation time but stays low for small changes. (similarity 0.95)
• Larger statistical changes are detected sooner and with less listening time. (similarity 0.93)
• Auditory change detection integrates statistical evidence accumulated over time (similarity 0.91)
• Longer pre-change sampling durations speed auditory change detection. (similarity 0.91)
• Larger statistical changes produce faster and more certain auditory detection (similarity 0.91)
• Larger stimulus changes are detected reliably after shorter observation times (similarity 0.91)
• Time available for integrating evidence is the main predictor of change detection success (similarity 0.89)
• Larger statistical changes produce faster and more concentrated reaction time distributions (similarity 0.89)
• Human change detection follows a statistical-integration model as estimation precision improves with observation (similarity 0.89)
• Listeners detect statistical changes in ongoing sound based on time available for evidence integration (similarity 0.89)
• Detection of statistical change requires temporal integration of the marginal distribution (similarity 0.88)
• Detecting statistical changes in sound improves with listening time and change size (similarity 0.88)
• Larger stimulus changes produce faster and more certain perceptual decisions. (similarity 0.88)
• Longer listening time to initial texture statistics improves change detection up to an asymptote (similarity 0.87)
• Temporal integration may sample informative snapshots rather than integrating all energy (similarity 0.86)

Broader Connections

• Auditory change detection integrates statistical evidence accumulated over time #expands (0.75) — Dijk, Pim van, Physiology, Psychoacoustics and…, 3285