Change-detection sensitivity rises with observation time but stays low for small changes.

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: Human change detection follows a statistical-integration model as estimation precision improves with observation; Longer listening time to initial texture statistics improves change detection up to an asymptote; Detection of statistical change requires temporal integration of the marginal distribution (+3 more)

Related

• Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants. (similarity 0.95)
• Human change detection follows a statistical-integration model as estimation precision improves with observation (similarity 0.94)
• Auditory change detection integrates statistical evidence accumulated over time (similarity 0.94)
• Detection of statistical change requires temporal integration of the marginal distribution (similarity 0.92)
• Longer listening time to initial texture statistics improves change detection up to an asymptote (similarity 0.91)
• Longer pre-change sampling durations speed auditory change detection. (similarity 0.91)
• Temporal integration may sample informative snapshots rather than integrating all energy (similarity 0.90)
• Larger statistical changes are detected sooner and with less listening time. (similarity 0.89)
• Listeners detect statistical changes in ongoing sound based on time available for evidence integration (similarity 0.89)
• Time available for integrating evidence is the main predictor of change detection success (similarity 0.89)
• Detecting statistical changes in sound improves with listening time and change size (similarity 0.89)
• Larger statistical changes produce faster and more certain auditory detection (similarity 0.88)
• Larger stimulus changes are detected reliably after shorter observation times (similarity 0.87)
• Change detection in statistical sounds relies on predicting statistics rather than exact occurrences (similarity 0.85)
• Larger statistical changes in textures are detected sooner and more often (similarity 0.85)

Broader Connections

• Longer pre-change observation improves initial-statistic estimation and speeds detection. #expands (0.85)
• Auditory change detection integrates statistical evidence accumulated over time #expands (0.82) — Dijk, Pim van, Physiology, Psychoacoustics and…, 3285