W3 Signal Detection Flashcards
How did Green and Swets (1966) discover Signal Detection Theory?
They recognized that any psychophysical task has both a sensory aspect (discriminability of the stimuli) and a decision aspect (bias, produced by nonsensory features of the task)
What are the four things can happen on a signal-detection trial?
Hit, Miss. False alarm, Correct rejection.
Using the example of a plane, explain how the payoffs and costs affect signal detection. What is the bias?
Radar operator watching for approaching aeroplanes – the cost of a false alarm is low (a bit of embarrassment), but the cost of a miss is very high (potential disaster). So predict a bias for “Yes”
What is conditional discrimination?
When the correct choice response is conditional on the sample. It’s a way of asking animals “What do you think the sample stimulus was?” – if they peck left, they’re saying “I think it was red” – so is very like a signal-detection task
What does the standard signal-detection matrix look like?
What happens if S1 and S2 are indiscriminable (exactly the same as each other) ?
Choice between B1 and B2 won’t be affected by what the stimulus is.
Bw = By and Bx = Bz
What happens if we make S1 and S2 more discriminable (more different from each other)?
What happens if we reinforce B1 more than B2
Bias in favour of B1 over B2 independent of the stimuli.
What is log d?
What does log d measure?
log d genuinely measures the discriminability of the stimuli – it changed when the stimuli were made more different, but not when the reinforcers changed.
What is the yellow and blue line here?
What does Davison and Tustin’s model here simplify to if you [1st equation] - [2nd Equation]
What is this equation called, and what does it estimate?
It is called a point estimate of discriminability – it estimates the value of log d that we would get if we did a complete variation of Rw/Rz like McCarthy and Davison (1980). It’s a quick but less accurate way of measuring log d.
It’s also called a stimulus function, because it measures the effect of the stimuli independent of the reinforcers and of any inherent bias, or an isobias function (equal bias)
What happens if you add these equations together?
log d disappears
What does the response bias measure?
Measures the effects of reinforcers and inherent bias, independent of the discriminability of the stimuliIt’s also called a bias function, or, in signal detection theory, an isosensitivity function.
See how the equation works – the two left-key responses W and Y are on the top line, and the right-key responses are on the bottom, so measures the tendency to respond left or right irrespective of the stimuli. This will be controlled by the reinforcers for left and right and by inherent bias, just as in the GML