02-03. Scaling & signal detection Flashcards
Psychophysical scaling def?
describe relationships between subjective experience and stimulus intensity
Scale —> compare 2 things
—> subj. ex. & phys, intensity
3 laws!!
What are the 3 laws called?
- Weber’s Law
- Fechner’s Law
- Steven’s Power Law
Weber’s Law? (explanation)
- JND gets bigger for increasing stimulus magnitudes
- (bigger stim. size = bigger JND)
- JND is CONSTANT proportion of intensity of standard
- fails at low intensities and near the threshold
Weber’s law equation?
JND = k∗I
Weber fraction: k = JND/I
Fechner’s law assumptions
- Weber’s law is right
- Each JND feels the same (the JND is the basic unit of perception)
- since Weber’s law fails, Fechner’s law does too
Fechner’s law? (explanation)
- EQUAL increments in phys. int. produce SMALLER inc. in perceived magnitude
–> adding a candle to a dark room vs adding a candle to a room with 100 candles - PERCEIVED INTENSITY increases as a LOG function
- the change in physical intensity needed to produce one JND increases logarithmically as well (??)
Fechner’s law equation?
S = k ln I/I₀
S=perceived intensity
k=weber fraction
ln = nat. log –> (IMPORTANT)
I=physical intensity
I₀=phys. int. @ threshold
graph is log (decreasing slope)
Steven’s power law? (explanation) what sort of measurement does it use?
- says power function describes it better for more stimulus modalities
- uses magnitude estimation
Magnitude estimation?
- present standard stimulus with arbitrary number
- present other stimuli and subject assigns number relative to standard
ex. standard line is 100, following lines are described as 200, 50, 75, etc
Steven’s power law equation?
S = c * I^n
S=perceived
I=phys
c=constant
n=exponent
Possible exponent values?
n > 1… perceived int. increases at INCREASING rate
- ex electric shock
n = 1… perceived int. increases at CONSTANT rate
- ex. line length
n < 1… perceived int. increases at DECREASING rate
- ex. brightness, auditory stim.
- (this does fit Fechner’s law)
Signal detection theory? Experiment?
permits the measurement of a person’s sensitivity (to weak signal) while unaffected by their biases
Experiment:
- present weak stimulus with NOISE
Signal detection experiment:
- use 1 fairly WEAK stimulus
- on every trial, present NOISE
- Some trials have a signal embedded in the noise
- Subject decides if they detect signal or not
Possible responses for sig. detection
HIT (signal + yes)
FALSE ALARM (no sig + yes)
MISS (signal + no)
CORRECT REJECT (no sig + no)
You only need to know Hits and False Alarms to have all the information you need
Receiver operating characteristic
graph where you can plot the proportion of hits and false alarms
shows all possible isometric curves