Unit 2 - Decision Making Flashcards

1
Q

human factors looks at the interaction between _

A

humans and systems

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2
Q

What is the importance of decision making?

A

how decisions impact safety, efficiency, and effectiveness in various domains

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3
Q

decision making consists of choosing between _

A

alternative courses of action available and enjoying or suffering the consequences of the chosen actions

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4
Q

what are the 2 theories about decision making?

A

normative and descriptive

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5
Q

define normative, as a decision making theory

A

a standard for the type of thinking that is optimal for achieving the goal (ie. how things should or ought to be)

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6
Q

define descriptive, as a decision making theory

A

theories of how people typically think and make decisions (eg. adding psychology and emotions into decision making)

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7
Q

decisions can be described in simple theoretical terms as consisting of 4 components: (normative decision making)

A

1) a set of actions
2) one or more events that describe the uncontrolled future
3) The outcomes and consequences of each action given each event
4) The chances favouring each event

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8
Q

describe the 4 components of decisions in the example of deciding whether to bring an umbrella to school

A

1) set of actions
- carry an umbrella
- not carry an umbrella
2) one or more events that describe the uncontrolled future
- rain
- no rain
3) the outcomes and consequences of each action given each event
4) the chances favouring each event

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9
Q

what are the consequences of carrying an umbrella and having rain as an event

A

get slightly damp, lug around the umbrella all day, perhaps lose the umbrella (but dry)

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10
Q

what are the consequences of carrying an umbrella and having no rain as an event

A

lug around the umbrella, maybe lost it, have to explain to your friends why you are carrying an umbrella on a sunny day

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11
Q

what are the consequences of not carrying an umbrella and having rain as an event

A

get very wet and uncomfortable, drip all over your test

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12
Q

what are the consequences of not carrying an umbrella and having no rain as an event

A

nothing (comfortable)

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13
Q

what are the consequences of not carrying an umbrella and having no rain as an event

A

nothing (comfortable)

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14
Q

in decision theory, there are statements about how people ought to make decisions, most of these theories start with a measure called _

A

utility

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15
Q

define utility

A

a numerical measure of the relative worth of all the physical outcomes associated with a decision
- ordering the physical outcomes from least to most desired

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16
Q

order the umbrella and rain scenario into least to most desired outcomes

A
  • no umbrella no rain
  • umbrella and no rain
  • umbrella and rain
  • rain no umbrella
17
Q

describe the notion of utility

A
  • after ordering the consequences
  • assigning values to these physical outcomes that truly reflect their relative worth
18
Q

according to the theory of _, the least and most desired outcomes can be arbitrarily assigned the respective values of _

A

Neumann and Morgenstern (1953)
- 0 and 1

19
Q

the utility values of the others can be found through a comparison between each of the other outcomes individually as a _ nd the standard gamble consisting of a _

A

certainty
risky situation

20
Q

describe the wheel of fortune (notion of utility)

A
  • take the outcome where you carry an umbrella and it rains “3”
  • would you prefer that outcome for certain, or, the standard gamble (between 1-4)
21
Q

(wheel of fortune) by repeating this procedure where the final outcome is
- any decrease made will always cause you to select the _
- any increase will cause you to always pick a _

A

indifference
- standard gamble
- certain outcome

22
Q

what happens net in the wheel of fortune (notion of utility)

A
  • now we can have a measure of the utility fo each outcome in this decision
  • similar techniques are used in perceived loudness or perceived tonal frequencies
23
Q

Under the topic of further understanding human’s decision, we have the concepts of

A
  • expected value
  • conditional probability
  • Bayes’ theorem
24
Q

define rational decision maker

A

play any game with an expected positive return regardless of the sums involved

25
Q

people who focus on _ will not play any game even if it can be expected profitable

A

subjective utility

26
Q

describe bayes’ theorem

A
  • process of revising probability estimates as new data are receives is the subject of baye’s theorem
  • provides an optimal model of how such probability revision should be carried out
  • ex. at the begining of the semester you were able to guess, but may have felt unsure (the probability you will receive all As)
  • as the term progresses, and you get your grades back, your estimates should improve
27
Q

define posterior probability and prior probability (conditional probability, bayes’ theorem)

A

posterior probability: the probability after data have been obtained

prior probability: the probability before getting any new data

28
Q

human decision making is an important part of many tasks:

A
  • are humans’ decisions rational?
  • human biases?
  • systems and environments that we create should aim to enhance necessary sensory processes and reduce interferences