CH2 Flashcards
information processing approach
focuses on the processes by which information in a
stimulus is translated to a response. It distinguishes three stages: perception, decision
making and response selection, and response programming and execution. It is often
assumed that the stages occur one after the other and that the results of one stage of
processing form the input to the next one. Specific theories differ in the proposed properties
of the stages of information processing, but they all rest on the basic idea that processing
can be described in separate activities.
The amount of information is usually
expressed in
bits (binary units), and then there’s some complicated formula. Information can
be expressed in the operator’s responses: if the responses are perfectly correlated with the
stimuli, all of the stimulus information is said to be transmitted by the operator
According to the Hick-Hyman law, RT in a task is
linearly related to the amount of information transmitted. RT will increase by a constant
amount each time the number of possible stimuli is doubled, with the slope of the line
reflecting the efficiency of information processing.
An experiment by Posner and Mitchell found that
the difference in
saying that RR are the same or saying that Rr are the same is about 75 ms. This research
depends on the assumptions that the processing stages are distinct and independent, and
that the insertion of the additional process does not alter the basic task structure (called the
assumption of pure insertion). Posner and Mitchell’s experiment could be questioned
because the time to process the letters might be affected by the forms of the letters.
additive factors method
developed by Sternberg, is a method for determining which
stages are involved in a particular information processing task. If two factors have additive
effects, they are assumed to affect different stages. If the factors interact, such that the effect
of one factor depends on the level of the other, the two facts are assumed to affect the same
stage of processing. Stage robustness is very important; stages are robust if a number of
experiments produce data consistent with the proposed stages, and if two factors show
additive effects, the addition of a third factor does not result in a higher-order interaction.
Stage
robustness
robust if number of experiments produce data consistent with proposed stages, and when
two factors show additive effects and adding a third factor does not result in higher-order interaction
arousal level
one’s general level of stimulation
Yerkes-Dodson Law
the optimal arousal level is lower the more difficult the task.
Easterbrook argued that
arousal level affects performance by determining the number of
sources of information (cues) that the organism can monitor. His cue-utilization theory says
that high arousal leads to greater selectivity and is thus beneficial only when relatively few
cues have to be monitored.
Cue-utilization theory
high arousal leads to greater selectivity and is thus
beneficial only when relatively few cues have to be monitored. High arousal favors high selectivity.
For low arousal the other way around.
vigilance
a state of readiness to
detect and respond to infrequent, randomly occurring events
Vigilance seems to be a
multidimensional construct, so it depends on more than just cortical arousal. Slower EEG
activity is associated with poorer performance on vigilance tasks and lower levels of arousal.
Serial reaction time task
subjects respond to one of five lights by pressing a corresponding response key.
Broadbent: two proposed types of
arousal.
Lower arousal: cortical arousal.
Upper arousal: facilitate controlled, strategic operations,
‘effort’. Depleted as time on a task increases.
Anderson and Revelle:
different factors that affect
arousal can exacerbate or ameliorate the effects of other factors, optimal level of arousal depends on
task demands.
Readiness to respond can result in…
faster RTs but at the expense of
accuracy. A reaction time distribution is skewed to the right and does not follow a normal
distribution.