Sensitivity and Signal-Detection Theory
Sensitivity and Signal-Detection Theory
This chapter treats the measurement of visual sensitivity, or how we detect threshold or near-threshold stimuli. It begins with a brief review of the classical methods of measuring thresholds. It then presents the signal-detection theory framework and an analysis of several classical and modern procedures, including method of limits, method of adjustment, method of constant stimuli, and alternative forced choice. The chapter ends with the signal-detection approach to more complex situations involving inputs from multiple detectors and tasks that involve stimuli in multidimensional space, decision uncertainty and the general recognition theory.
Keywords: Visual sensitivity, Signal detection theory, Internal representation, Discrimination, Criterion, Stimulus spaces, Multidimensional analysis, General Recognition Theory, Decision uncertainty
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