Time available for integrating evidence is the main predictor of change detection success
Evidence
This change detection task allows us to explicitly address the integration of statistical information under continuous conditions, which models more closely the real-world challenge of detecting changes in complex ongoing auditory scenes. In this context, we studied the dependence of detection on the time and size of the change. We found evidence for integration of statistical information to predict a change in stimulus statistics, both based on hit rate as well as on reaction times. The main predictors appear to be the time available for integration of evidence. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3286
Categorization
Category: Causal Relationships
Related
- Listeners detect statistical changes in ongoing sound based on time available for evidence integration (similarity 0.92)
- Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants. (similarity 0.90)
- Change-detection sensitivity rises with observation time but stays low for small changes. (similarity 0.89)
- Temporal integration may sample informative snapshots rather than integrating all energy (similarity 0.88)
- Larger statistical changes produce faster and more certain auditory detection (similarity 0.88)
- Longer pre-change sampling durations speed auditory change detection. (similarity 0.88)
- Human change detection follows a statistical-integration model as estimation precision improves with observation (similarity 0.88)
- Auditory change detection integrates statistical evidence accumulated over time (similarity 0.88)
- Larger statistical changes are detected sooner and with less listening time. (similarity 0.87)
- Reaction times reveal how listeners estimate post-change statistics in integration tasks. (similarity 0.86)
- Larger stimulus changes are detected reliably after shorter observation times (similarity 0.86)
- Detection of statistical change requires temporal integration of the marginal distribution (similarity 0.86)
- Longer pre-change observation improves initial-statistic estimation and speeds detection. (similarity 0.86)
- Detecting statistical changes in sound improves with listening time and change size (similarity 0.85)
- Change detection in statistical sounds relies on predicting statistics rather than exact occurrences (similarity 0.84)