jan noyes professor of human factors psychology university of bristol / / integrated

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Jan Noyes Professor of Human Factors Psychology University of Bristol http://human- factors.psy.bris.ac.uk / egrated Uncertainty Modelling for Decision Making Workshop

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Page 1: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Jan NoyesProfessor of Human Factors Psychology

University of Bristolhttp://human-factors.psy.bris.ac.uk/

Integrated Uncertainty Modelling for Decision Making Workshop

Page 2: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Outline

• Humans as information processors• Decision making as explained by reasoning• Risk perception• The study of human decision making over the decades• Influences on decision making• Summing up – how do humans make decisions• Conclusions especially with regard to uncertainty

Page 3: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Humans as ‘information processors’

Page 4: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Our strengths

PerceptionThe process of receiving information from the outside world.

Note: humans are ‘furious’ pattern-matchers

Memory - an interesting paradox …Humans have amazing memories but also severe

limitations on the amount of information they can process at any one time, for example, short term memory is fragile and limited, and effort is required to retrieve information.

Page 5: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Year Car Registration Colour

1947 Ford 8 ETA242 Black

1953 Morris Minor RTT859 Blue

1957 Morris Minor VOD236 Turquoise

1959 Ford Prefect 496FAF Blue

1961 Ford Consul 848SPH Navy Blue

1965 Morris Oxford CWV695C Navy/White

1972 Hillman Hunter KPG974K Metallic Red

1977 Renault 16 NDR697S White

1980 Talbot Alpine CAM687V Navy Blue

1982 Vauxhall Cavalier VPM495Y Green

1985 Ford Granada C708SPC Maroon Red

1986 Ford Escort D194KCV Grey

1988 Vauxhall Cavalier F413VCV Blue

1990 Mazda 323 F H896FGL Red

1993 Citroen Zantia K628PRL Blue

1997 Renault Megane P396RAF Blue

2002 Renault Clio WL51LUR Metallic Green

Page 6: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Our weaknesses

AttentionWe are poor at monitoring.

“There is no such thing as voluntary attention sustained for more than a few seconds at a time.”

Quote from William James (1890)

Higher order (cognitive) processes

We are not good at some types of decision making, for example, deductive reasoning.

Page 7: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Deductive reasoning

The process of reasoning from one or more premises with regard to what is known, and upon which a logically specific conclusion can be reached.

All A are B,

All B are C,

therefore, all A are C.

Page 8: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Inductive reasoning

Reasoning from specific facts or observations to a general conclusion that may explain the facts, that is, it is not possible to reach a logically certain conclusion.

All men are mortal,

therefore, Fred Bloggs is mortal.

Page 9: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Deductive versus Inductive reasoning

Deductive - logic, while Inductive - particular conclusions are drawn from more general principles.

Inductive reasoning involves an element of doubt/uncertainty.

If Alan is taller than Bill, and Bill is shorter than Chris, is Alan taller than Chris?

Page 10: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Common mistakes

• Draw incorrect conclusions, for example, if I take my umbrella, then it will rain.

• Reverse the propositions in the conditional statement, for example, if the ‘plane will be diverted, then there is fog.

• Confirmation bias (seek to confirm).

Page 11: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated
Page 12: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Wason’s 4-card problem

You have four cards with a letter on one side and a number on the other.

E F 4 7“If a card has a vowel on one side, it will have an even number on the other.”

Which two cards do you want to turn over to check whether this rule is valid or not?

Page 13: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Drinking age rule

Drinking Drinking 22 years 16 years

a beer a coke of age of age

Which card or cards do you want to turn over to check whether the ‘drinking age’ rule is valid or not?

Page 14: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Entering the country

Entering In transit Inoculated Inoculated

against against

cholera typhoid

& hepatitis

The rule ‘people entering the country have been inoculated against cholera’.

Is this valid or not?

Page 15: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Explanations

• People do not reason logically – they simply apply their knowledge of the world – helps cope with uncertainty.

• Meaningful content – limits of working memory.If correct, not an issue,if incorrect, can lead to problems.

• Difficulties – representation, negation, language.

• Confirmation bias – search for evidence that confirms our beliefs.

For example, Three Mile Island.

Page 16: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Three Mile Island, 1979

Page 17: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Decision making

Early models – based on Normative decision making

Break down decision problems.• Do this by identifying the alternatives.• Weigh the outcomes in terms of their usefulness (utility).• Select the ‘best’ outcome.

Goal - to seek pleasure and avoid pain.

When decision making, we:• seek to maximise pleasure (+ve utility)• seek to minimise pain (-ve utility).

Page 18: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

From Normative to Descriptive

In the 1970s, the basic UTs ‘failed’, because of the subjective element in the observed behaviour of decision makers.

There was seen a need to take into account human irrationality and biases.

Hence, the Descriptive models appeared.

Page 19: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

The Prisoner’s Dilemma

Suppose that two men have been arrested and they are charged with a bank robbery. Each man is found to have an unregistered firearm at the time of the arrest. The police do not have conclusive evidence that the two men actually robbed the bank, and need a confession from at least one of the men in order to make a successful prosecution.

Page 20: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

The Dilemma

If neither confesses, they will be charged with possessing an illegal firearm and jailed for a year.

If they both confess, they will each be given an intermediate-length term of 10 years.

Further, the prisoner who confesses will be let off, while the other will get the maximum sentence of 20 years.

Page 21: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Would you confess?

Prisoner A

Confess Not Confess

Prisoner B

Confess Both get A=20 years

10 years B=0 years

Not A=0 years Both get 1 year

Confess B=20 years

Page 22: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Game theory

Suggests that much decision making is like playing a game with the following features:

Minimax loss rule - minimise possibility of maximum loss (20 years) - confess (possibility of 0 [or 10] years).

Maximin gain rule - maximise possibility of minimum gain (least favourable outcome = 20 years) - don’t confess.

Maximax gain rule - maximise possibility of maximum gain - confess.

Page 23: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Normative and Descriptive

Criticism of early (normative and descriptive) theories -

they often do not use problems and scenarios that are realistic.

Solution – the Prescriptive models.• These focus on how people should make decisions to

conform to the normative model.• Still idealised, but taking into account, the real situation

often characterised by ambiguous and incomplete information, limited time resources, and high stakes.

• This led to the development of naturalistic decision making (NDM) prescriptive models in the 1990s.

Page 24: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Insights into NDM (complex decision making)

Klein (1993) and Rasmussen (1993)• Focus on finding a course of action which works.• Assess situation and select course of action (experience

helps - become quicker and more accurate).• Act without considering all contingencies. Course of

action is not necessarily the best one - best one at that point in time.

• Choice is related to evaluation and mental construction of problem.

• Focus on relevant options rather than filtering out unacceptable ones.

Page 25: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Putting the pressure on …

In a high workload/panic-type situation, what happens?

• Resort to automatic (skilled) behaviour, for example, use of checklists will help to reduce memory load.

• High levels of attention can be sustained.

• Will become ‘tunnel-visioned’, for example, fixation in terms of problem-solving.

Page 26: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Historical perspective - decision making

• Early decision theories based on (a) humans operate in ideal circumstances, and (b) make optimal decisions.

• Recent work - we strive to make the ‘best’ decisions in any given situation.

• Naturalistic theories are a mixture of different models and strategies, and more suited to explaining decision making in operational environments such as the flight deck, fire-fighting/emergency services.

Page 27: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

How do humans make decisions?

1. SatisficingWe do not consider all the options, but opt for the first choice that ‘satisfies’ us, for example, working through a long menu.

Page 28: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

How do humans make decisions?

1. SatisficingWe do not consider all the options, but opt for the first choice that ‘satisfies’ us, for example, working through a long menu.

2. Heuristics and BiasesWe do not apply logic but tend to resort to feelings …

For example,

All the families having exactly six children in a particular city were surveyed. In 72 of the families, the exact order of births of boys (B) and girls (G) was G B G B B G.

What is your estimate of the number of families surveyed in which the exact order of births was B G B B B B?

Page 29: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

3. Availability (Anchoring)

The extent to which information is available to us can determine our decision making.

Influence of media and how available information is to us. Evidence when there is a health scare, for example, about the contraceptive pill.

Example:

What percentage of African countries are in the United Nations?

Page 30: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

3. Availability (Anchoring)

The extent to which information is available to us can determine our decision making.

Influence of media and how available information is to us.

Odds of dying ...

In a car crash: 5,000 to 1

From surgical complications: 80,000 to 1

In a ‘plane crash: 250,000 to 1

By falling out of bed: 2 million to 1

WINNING THE LOTTERY: 80 million to 1

Page 31: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

4. Overconfidence

We tend to overvalue our judgement skills.

Example:

“Absinthe is a liqueur or a precious stone.”

Page 32: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

4. Overconfidence

We tend to overvalue our judgement skills.

Example:

“Absinthe is a liqueur or a precious stone.”

5. The Gambler’s FallacyLuck will change, for example, have lost money on five horse races, therefore, will win on the sixth race.

But, probability has no memory …

Page 33: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

4. OverconfidenceWe tend to overvalue our judgement skills.

Example:

“Absinthe is a liqueur or a precious stone.”

5. The Gambler’s FallacyLuck will change, for example, have lost money on five horse races, therefore, will win on the sixth race.

But, probability has no memory …

6. Fallacy of CompositionParts of the whole make up the whole, for example, the ‘horns/halo’ effect.

Page 34: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

More evidence of plasticity

Order effects

How questions affect answers?

Q.1. Do you think a Communist country like Russia should let American newspaper reporters come in and send back to America the news as they see it?

Q.2. Do you think the USA should let Communist newspaper reporters from their countries come in and send back to their papers the news as they see it?

Page 35: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Results

Q.1. Do you think a Communist country like Russia should let American newspaper reporters come in and send back to America the news as they see it?

Q.2. Do you think the USA should let Communist newspaper reporters from their countries come in and send back to their papers the news as they see it?

Counterbalanced design - 50% had Q.1 first.

Q.1: 82% agreed when 1 first, 64% agreed when 2 first.

Q.2: 55% agreed when 1 first, 75% agreed when 2 first.

Page 36: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Pseudo-opinions

Which of the following statements most closely coincides with your opinion of the Metallic Metals Act?

1. It would be a good move on the part of the USA.

2. It would be a good thing, but should be left to individual states.

3. It is all right for foreign countries, but should not be required here.

4. It is of no value at all.

Page 37: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Results

1. It would be a good move on the part of the USA. (15%)

2. It would be a good thing, but should be left to individual states. (41%)

3. It is all right for foreign countries, but should not be required here. (11%)

4. It is of no value at all. (3%)

No opinion (30%).

Page 38: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Inconsistency

Principles:• Public officials should be chosen by majority vote.• Every citizen should have an equal chance to influence

government policy.• The minority should be free to criticize majority

decisions.

Derived statement:“In a city referendum, only people who are well informed about the problem being voted on should be allowed to vote.”

Page 39: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Results

It was found that:• 51% agreed with anti-democratic idea that only well-

informed should vote.

Similar study with taxpayers.

It was found that:• 79% agreed that only taxpayers should vote.

Page 40: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Problems …

• Integration of information – problematic for us (attention deficit).

• Resource limitations (memory) – perhaps cannot cope with all the aspects involved.

• Prediction outcomes – create uncertainty, possibly because of difficulties associated with integration.

• Language, for example, negatives, conditional clauses, use of probability – poor understanding.

• Simple manipulations can change our decision making, for example, switching the order of questions can influence the answers.

• People when asked will often give answers.• Generally, people exhibit inconsistency.

Page 41: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Summary: Making decisions

• Construction of a mental representation (story) – an integration of available information, knowledge and personal beliefs about the world.

• Assessment of the situation.• Realistic settings – uncertain situations, incomplete, and

often, contradictory information, time pressure, delay in feedback, shifting, and competing, goals, and changing conditions.

• In terms of strategy, experiments at Bristol have shown differences in how people perceive levels of risk according to how information is presented.

Page 42: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Conclusions

We excel in situations which demand the use of inductive reasoning (unlike machines/computers that can programmed to carry out deductive reasoning).

It could be concluded that we do not use ‘knowledge’ optimally - we use ‘short cuts’ which guarantee solutions (which are not necessarily the best) – the fast but frugal heuristic.

In this sense, uncertainty is not a problem, because we are not very efficient decision makers anyway.

Page 43: Jan Noyes Professor of Human Factors Psychology University of Bristol  /  / Integrated

Finally …

“Many people would sooner die than think. In fact they do.”

Bertrand Russell