Signal Detection Theory Visualizer & Tester

An interactive tool to explore theory and test your own detection performance.

Theoretical Distributions

Adjust the properties of the noise (blue) and signal (green) distributions. Move the decision threshold (red dashed line) to see how it affects classification outcomes.

Noise Parameters

Decision

Signal Parameters

Theoretical Metrics

Sensitivity (TPR): 0.0%
TP / (TP + FN)
Specificity (TNR): 0.0%
TN / (TN + FP)
Accuracy: 0.0%
(TP+TN) / (All)
d': 0.000
s - μn) / √(0.5(σs2 + σn2))
c: 0.000
-0.5 * (Z(H) + Z(F))

Theoretical Matrix

Actual Condition
Signal Present Signal Absent
Predicted Response

0.0%

True Positive
(Hit)

0.0%

False Positive
(False Alarm)

0.0%

False Negative
(Miss)

0.0%

True Negative
(Correct Reject)

ROC Curve

Plots TPR vs. FPR.

AUC: 0.000

Detection & Discrimination Tests

Auditory Test

Visual Test

Face Test

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Test Results

Actual Condition
Signal Present Signal Absent
Predicted Response

0.0%

Hits (0)

0.0%

False Alarms (0)

0.0%

Misses (0)

0.0%

Correct Rejects (0)

Hit Rate (TPR):N/A
False Alarm Rate (FPR):N/A
Criterion (c):N/A
Liberal Neutral Conservative