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Decision making
Involves generating, selecting, and or evaluating relevant choices, where the rules for
deciding are not obvious, and the choices involve some risk or uncertainty
We do the best we can
Classical Decision Making Approach
developed primarily by economists who believed
that people are always rational and carefully consider all of the options (this is pretty
artificially created, no stress, no emotion, lots of time)
Late 1700s: Jeremy Bentham and John Mills-> economic utility theory
(everything we do
is intended to increase access to something that we value/maximize our utility
Utility Theory 3 assumptions (this assumes that humans are always rational-> not
true obviously (i.e. emotional decisons or ones under stress)
1. People are completely informed of their options and consequences
2. People are sensitive to differences in these options
3. People always act to maximize that utility, whatever it is
Satisficing (Simon, 1957)
we engage in bounded rationality (logical to an extent) such
that we consider options until we encounter one that is “good enough” (satisficing)
Similar to car or apartment buying, we dont always consider ALL the options (half
algorithm and half heuristic)
Types of Heuristics & Misapplications
Humans tend to be lazy-> what do you have to do to survive not thrive (cognitive
economy to conserve energy), we utilize these a lot in decision making
This is an educated guess that has worked in the past
Representativeness Heuristic (Kahneman & Tversky, 1972)
The tendency to assume
that, if an object is similar to members of a particular category, it is probably a member of
that category itself (gives us inferential power/judgement)-> so powerful that it
overpowers other information
Ex: social stereotypes (librarian versus car salesman example)
Base rate information
data about the frequency or probability of a given item (70
librarians and 30 used car salesman-> should make you cautious)-> asked
knowledgeable others who knew about statistics and they totally ignored the data
as they were confident in the use of their heuristic (base rate neglect-> bounded
rationality)
Gambler’s fallacy
Belief that if an event has not occurred for a while, then it is more
likely to occur in the near future
Ex: Which is more likely when we flip a coin? (50/50)
HHHTTT or HHTHTT (the same probability, not conditional)
One arm bandits (ignoring that each pull of the arm is an independent event)
Law of large numbers
large samples will be representative of the population from
which they have been selected
Ex: Large versus small hospital-> 60% male birthrate example (we are more
likely to see a deviation in the smaller dataset because it is very limited)
Availability Heuristic (Tversky & Kahneman, 1973)
when people attempt to assess the
importance or frequency of an event, they tend to be guided by the ease with which
examples of that event come to mind
Ex: Married students of NCSU (responses differ between graduate students and
undergraduates)
Slovic, Fischoff, & Lichtenstein (1972) Availability heuristic
media and public estimates of the causes
of death -> people severly overestimated causes of death (said there were more
plane crashes than car crashes-> not true) -> media is powerful influencer
Five variables of availibility
Ease of searching (Kahneman & Tversky)
General World Knowledge
Familiarity
Vividness
Personal Relevance
Ease of searching (Kahneman & Tversky)
More words that start with k versus words that have k as the third letter?
Easier to search/predisposed
Ease of searching (Kahneman & Tversky)
More words that start with k versus words that have k as the third letter?
Easier to search/predisposed
Familiarity
Famous Names Study (Tversky & Kahneman, 1973)
Famous name study -> 50 male names and 50 female names -> but we
heard more famous female names and so we add weight to them and
then they stick out more and are more available to us to recall
Vividness
Airplane crashes versus car crashes
Videos of engine exploding of an airplane covered in the news but car
crashes are not
You will buy the brand you know best-> marketing strategy
Drunk driving discouragement
Personal Relevance
Jaguar versus Ferrari, when a friend chimes in with negative reviews (then you
may question yourself)
Consumer reports/reviews online versus reviews from people you know
Decison Frames
The way that a question is framed (worded) or the background information provided can
have an important effect on people's decisions
The Framing Effect
the tendency to answer a question differently when it is phrased or
worded differently (people tend to flip from risk averse to risk taking based on a couple of
different words)
Examples:
up to 100% effective
American express-> convenience fee to the customer (credit card per gallon is
ALWAYS more expensive because they are passing along that convenience fee,
no one even talks about cash as no one carries it anymore)
If this was more well known, people would not be very happy
Home insurance (comprehensive home insurance or includes everyhting but
flood)
Prospect theory
three main components: loss aversion (losses loom larger than
equivalent gains), the certainty effect (people overweight sure outcomes), and the
isolation effect (people simplify choices by ignoring common elements). This theory
explains systematic biases in human judgment and has applications in economics,
finance, and marketing
Example: The Disease Problem-> basis for prospect theory
Imagine that the U.S. is reparing for the outbreak of an unusual disease, which is
expected to kill 600 people. Two alternative programs to combat the disease
have been proposed. Assume that the exact scientific estimate of the
consequences of the programs are positively framed version
Positively framed version
If Program A is adopted, 200 people will be saved. [72%]
If Program B is adopted, there is 1/3 probability that 600 people will be saved , and 2/3
probability that no people will be saved. [28%]
Which of the two programs would you favor?
When positively framed, people want to go with the sure win (risk averse)
Negatively framed version
If Program C is adopted, 400 people will die. [22%]
If Program D is adopted, there is 1/3 probability that nobody will die, and 2/3 probability
that 600 people will die. [78%]
Which of the two programs would you favor?
When negatively framed, people are more likely to be risk takers
Illusory correlation
spurious cause-effect relationships (cross-species effects), skinner
studied this with pigeons-> what happens when you randomly get food (pigeons are
trying to figure out cause and effect when there wasnt one-> superstitious behaviors->
can also see this in humans)
Ex- political affiliation and stance on abortion (based on prejudice)
2000, wasnt as big as an affiliation as you think -> some studies show
that correlation with facial hair has a bigger correlation than political
affiliation and stance on abortion
Sunk-cost fallacy
continuing to invest resources simply because you have done it before
Ex- star wars defense system (billions of taxpayer dollars paying for this when
the science is just not there says experts in the field)
Hindsight bias
retrospective consideration of events leading to outcome (“I knew it all
along, if I were the coach I would have done this because I knew they werent running
the ball→ no you didnt”)
People began to make distinctions between natural decision making and classical decision-making
1988 July 3rd USS Vincennes patrolling the water off the coast of Iran
Commercial airliner was shot down by us government and killed 290 civilians,
horrible mistake (congress wanted to know why)
Captain rogers was in a situation like that before and got shot up and lives were
lost so previous experience driving behavior
Lens model 1934 (Elon Brunswick)
Multiple fallible (ambiguous) cues in our environment due to perception
Queue (x1, x2, etc) (not on time, mixed use airport, not responding on radio, and
descending, no fire control radar)
Judgement
True value
Achievement: correlation between true value and judgement (if perfect then 1)
Gary Klein sources of power (naturalistic decision making)
Following fire chiefs around the countryside
Nurses in neonatal intensive care
distinctions between classical decision making and more naturalistic decision making
Discussion of Kaemf, Klein, Thordsen, & Wolf (1996)
Know the RPD model
Recognized problem-solving as a decision model
Go up to the situation, see a pattern of use, and recognize it as being some type
of event
Problems with the CDM methodology? (incident in the past-memory is not accurate,
hindsight bias, they are personally involved)
Clyde and others gave semi-structured interviews and asked the guided missile
cruisers to identify critical incidents that were challenging or difficult
130 different incidents
Sweep 1: What happened?
Sweep 2: Then put them on a timeline
Sweep 3: detect shifts in situational awareness
Decision points are consistent with shifts in understanding the
situation (situational awareness)
Sweep 4: Error search
Martha Hensley (situational awareness)
you want to be able to predict the status of
these in future situations
Perception elements, similar to lens model perception of cues
Comprehansion of meaning
Action
31 personnel and talked to them, then said that enlisted personnel dont have much to
offer and cut the participants in half and got rid of the technical crew members who
probably have more experience (important as these were experts and we want to
improve decision making)
Reliability of coding? 96.5%, pretty good
Details? Coded in a way that would support theories that kline had (situational
awareness, feature matching-recognition is automatic, story generation-awful situation
you have never experienced before, situational awareness)
78 actions in the incidents discussed
Novel course: problem solving and option generation
Selected course: more than one option and have to choose
Recognized: see something and you are primed to act in a certain way (95% of
the time doing what they are supposed to do, only 18% actually evaluated an
action, but delayed response)
Is RPD rational and how is it related to expertise?
How is situation awareness defined?