Task 2 Flashcards
d’
sensitivity of the subject, detectability of the signal , difficulty of the detection task
• d’ = 0: poor sensitivity/detectability = just guessing
• d’ > 0: good sensitivity/detectability
• d’ < 0 : ‘good’ sensitivity/detectability but systematic error (confusion of “yes” and “no”)
Signal detection theory
- Method that measures the ability to differentiate between information patterns (stimulus/signal) and random patterns that distract from the information (noise)
- Number of factors affect how a detecting system will detect a signal & where its threshold levels will be
- Offers A look into the ‘black box’ (i.e., brain) based on simple “Yes/No” responses
Assumptions pf SDT:
1) Internal noise has a specific distribution across trials (usually standard Gaussion = normal)
2) Same noise distribution of N trials and S+N trials (noise is constant)
3) Signal and noise add up linearly (do not interact)
Concept of absolute threshold
- Subjects may employ different strategies
- Liberal (= indicating lower threshold)
- Conservative (= indicating a higher threshold)
- Because factors other than sensitivity to signal may influence results, signal detection experiments have been employed
Signal and noise
- Experiments always involve presenting either signal plus noise (S+N) or simply noise (N) because noise will always be present
- The smaller the difference in intensity between signals and noise, the greater the error probability
Probability distributions:
-Both S+N and N have a probability distribution
-Tells us the chances that a given signal is due to N or S+N
-Overlap: for some perceptual effects, the judgement will be difficult
-Shaded area must sum to one:
P (H) + P (M) = 1 and P (FA) + P (CR) = 1