Signal Detection Theory and Psychophysics¶
Green, D. M., & Swets, J. A. (1966). Signal Detection Theory and Psychophysics. Wiley.
Cited by¶
7 citations across 7 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Alertness
- The standing capacity is the observer's prepared state to notice that target class, operationalised as detection sensitivity (d′ in signal-detection terms) held separately from the deployed attention the observer allocates moment to moment.
This sourceEstablishes signal-detection theory and the sensitivity index d′, used to hold detection sensitivity separate from response allocation.
- The standing capacity is the observer's prepared state to notice that target class, operationalised as detection sensitivity (d′ in signal-detection terms) held separately from the deployed attention the observer allocates moment to moment.
- Expectation Violation
- An event on a dimension the model never addressed is irrelevant rather than contrary. A registration threshold. Below some tolerance the mismatch is assimilated as noise, rounding, or acceptable variance and nothing downstream changes; it is the threshold, not the raw size of the discrepancy, that decides whether a violation exists at all.
This sourceSeparates the observer's decision criterion from sensitivity, establishing that whether a discrepancy is registered depends on a threshold held independently of the magnitude of the discrepancy.
- An event on a dimension the model never addressed is irrelevant rather than contrary. A registration threshold. Below some tolerance the mismatch is assimilated as noise, rounding, or acceptable variance and nothing downstream changes; it is the threshold, not the raw size of the discrepancy, that decides whether a violation exists at all.
- Reality Monitoring
- Reality monitoring connects to signal-detection theory: source discrimination is a classification problem with a measurable sensitivity and a movable criterion, so biasing the criterion toward "external" reduces false memories at the cost of more rejections of real ones, and conversely.
This sourceFoundational signal-detection theory: discriminability (d') and movable criterion (c) as orthogonal levers tracing the ROC, framing source attribution as detection.
- Reality monitoring connects to signal-detection theory: source discrimination is a classification problem with a measurable sensitivity and a movable criterion, so biasing the criterion toward "external" reduces false memories at the cost of more rejections of real ones, and conversely.
- Selectivity Window
- Signal-detection theory's ROC curve is a selectivity-window apparatus over a decision threshold, and the intervention "shift the operating point" ports directly to "shift the classification threshold" in machine learning.
This sourceEstablishes the ROC curve and decision threshold as a selectivity-window apparatus over an operating point, with 'shift the operating point' as the core intervention.
- Signal-detection theory's ROC curve is a selectivity-window apparatus over a decision threshold, and the intervention "shift the operating point" ports directly to "shift the classification threshold" in machine learning.
- Signal Detection Theory
- It shifts the trade among hits, misses, false alarms, and correct rejections, moving the operating point along a receiver-operating-characteristic (ROC) curve whose shape is fixed by sensitivity.
This sourceThe foundational textbook establishing the sensitivity/criterion factorization, d′, the ROC curve, and the likelihood-ratio criterion.
- It shifts the trade among hits, misses, false alarms, and correct rejections, moving the operating point along a receiver-operating-characteristic (ROC) curve whose shape is fixed by sensitivity.
- Signal Inflation
- The transfer is supported by formal work — signal-detection theory supplies the underlying mathematics, and signal inflation is the dynamic, sender-driven failure mode of a detection system whose operating point has drifted to maximum recall.
This sourceSupplies the underlying detection mathematics — ROC operating point, posterior precision, and the cost-ratio decision rule — of which signal inflation is the dynamic, recall-maximizing failure mode.
- The transfer is supported by formal work — signal-detection theory supplies the underlying mathematics, and signal inflation is the dynamic, sender-driven failure mode of a detection system whose operating point has drifted to maximum recall.
- Threshold
- T1: Threshold Existence vs Sharpness. Some phenomena that look like thresholds are actually gradual transitions with misleadingly threshold-like appearance at the observation scale; others are genuine sharp thresholds obscured by measurement noise or population variability—the diagnostic challenge Green and Swets (1966) formalized in their signal-detection-theory account, where the apparent threshold is jointly determined by sensitivity (d′) and an observer's adjustable criterion rather than by any single sharp critical value.
This sourceFoundational signal-detection-theory monograph: distinguishes sensitivity (d′) from observer criterion, showing that an apparent psychophysical "threshold" is jointly determined by underlying discriminability and an adjustable decision rule rather than by any single sharp critical value.
- T1: Threshold Existence vs Sharpness. Some phenomena that look like thresholds are actually gradual transitions with misleadingly threshold-like appearance at the observation scale; others are genuine sharp thresholds obscured by measurement noise or population variability—the diagnostic challenge Green and Swets (1966) formalized in their signal-detection-theory account, where the apparent threshold is jointly determined by sensitivity (d′) and an observer's adjustable criterion rather than by any single sharp critical value.
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