group cognition Flashcards

1
Q

the madness of crowds

A
  • Charles Mackey
  • began with stock market ideas
  • stock market activity and economic bubbles:
    –> investors buy up cheap shares and this snowballs increasing the prices of the shares until they no longer reflect the value of the company
    –> bubble bursts and the shares are worth very little
  • idea that we make worse decisions due to a group
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2
Q

wisdom of the crowds - brief example

A
  • people asked to estimate weight of an ox
  • guesses made individually but the mean the guesses was very close to the actual weight of the ox
  • idea that we can make better decisions and estimates as a group
  • “any investigation into the trustworthiness and peculiarities of popular judgements is of interest”
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3
Q

real world example

A
  • northern rock bank
  • got a bad rep
  • people wanted to take money out
  • the mass withdrawal of money actually caused the bank to crash
  • the group decision led to the downfall of the bank
    –> may not have happened if mass withdrawal didn’t occir
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4
Q

small group decision making

A
  • typical paradigm to test group cognition is as follows:
    –> 3 - 6 people
    –> short tasks
    –> common aims
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5
Q

example of a short decision task

A
  • short task with a definitive answer
  • Robin is looking at Charlie, Charlie is looking at Jules
  • Robin is married but Jules is not married
  • is a person who is married looking at a person who is not married?
  • answers:
    –> A = yes
    –> B = no
    –> C = we cannot tell
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6
Q

example of a short decision task = typical answers

A
  • individual guesses:
    –> yes = 5%
    –> no = 2%
    –> can’t tell = 93%
  • group guesses
    –> yes = 24%
    –> no = 3%
    –> can’t tell = 69%
  • more people get the answer right in groups
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7
Q

right answer to the simple decision task

A
  • yes
  • if Charlie is married (m), Robin (m) is looking at Charlie (m) and Charlie is looking at Jules (nm)
  • if Charlie is not married (nm), Robin (m) is looking at Charlie (m) and Charlie (m) is looking at Jules (nm)
  • in either scenario a married person is looking at a non-married person
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8
Q

Wason’s selection task

A
  • four cards all have a letter on one side and a number on the other side
  • example: E X 1 6
  • rule: all cards with a vowel on one side have an even number on the other side
  • which cards would you have to turn over to decide whether this statement is true or false?
    –> E and 1
  • 1 is an odd number so if a vowel is on this side, the rule has been broken
  • most people select E and 6
    –> this is confirmation bias
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9
Q

confirmation bias

A
  • A preference for seeking information that can only confirm your existing beliefs, rather than contradict it
  • About active search for information, not just whether you believe information when you encounter it
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10
Q

confirmation bias in Wason’s task

A
  • You should turn over E, since it might have an odd number on the other side
  • You need to also turn over 1, since it might have a vowel on the other side
  • Turning over 6 doesn’t tell you anything
    –> it would just confirm the rule but doesn’t PROVE it is correct
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11
Q

Wason selection task in groups

A
  • can be used in a small group decision task
  • approx 80% of groups arrive at the correct answer
    –> complete flip from individuals where approx 70-80% arrive at the wrong answer
  • few mins of discussion can change the wrong answer into a correct response
  • allows researchers to look at the process of reasoning in groups to come to the correct answer
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12
Q

Wason task controls

A
  • things that don’t help:
    –> Motivation / reward
    –> Changing the wording
    –> University education
  • something which does help:
    –> Making the task less abstract
    –> Working within a group (perhaps)
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13
Q

Wason task - social rule version

A
  • there are four people in a pub, each has a drink
  • these cards each have the age (on one side) and the drink (on the other) of someone in the bar
  • beer, cola, 17, 25
  • rule: people with an alcoholic drink must be older than 18
  • which cards inspect the rule is broken?
    –> beer and 17
    –> make sure beer isn’t below 18
    –> make sure 17 isn’t alcoholic
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14
Q

conclude Wason task

A

group cognition can improve on individual reasoning

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15
Q

are groups better than individuals?

A
  • ‘process loss’
    –> where group decisions are worse than individual (madness of crowds)
  • ‘process gain”
    –> where group decisions are better than individual (wisdom of crowds)
  • Most of the time groups performed at the accuracy of second best member of the group
    –> group cognition tends to avoid the individual worst answer but also the best answer
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16
Q

why comparing groups is hard:

A
  • need to be able to define four factors:
    1. task type
    2. standards of comparison
    3. coordination methods
    4. individual differences
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17
Q

task types

A
  • intellective
    –> have a definite answer
  • judgement tasks
    –> estimations / opinions
  • also what does the task depend on:
    –> require insight?
    –> require background knowledge?
    –> provoke strong intuitions or emotions (biases)?
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18
Q

task type: individual vs group?

A
  • evidence suggests that:
    –> Given time and discussion, groups perform as well as best individual on Intellective tasks
    –> Evidence that best members outperform groups on judgement tasks
    –> When the task does not have a clear answer then groups tend to be perform at the level of the average members
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19
Q

standards of comparison

A
  • performance is split into:
    –> worst individual
    –> average
    –> best individual
20
Q

coordination methods:

A
  • refers to how the group functions
    –> level of discussion
    –> anonymity
    –> revision
  • no discussion
    –> averaging individual answers
  • iterative, anonymous answers, no discussion
    –> ‘Delphi’ method revises answers to reach consensus
  • Discussion group choses the best individual to answer
    –> “dictator method”
  • Discussion
    –> come to group agreement “consensus method”
  • Discussion with revision
    –> given collective mean, discuss and revise “dialectic methods”
21
Q

evidence for different coordination methods

A
  • best improvement in dictator group
  • then delphi
  • then dialectic
  • least improvement was the consensus group
  • However, none outperformed the best individual members
  • Note = in the dictator group the best performers often adjusted their response towards the collective mean
22
Q

individual differences

A
  • In sources of information
    –> access to cues
  • In ability
    –> i.e., better memory
  • In other capacities
    –> e.g. ability/willingness to coordinate
23
Q

achieving group consensus

A
  • Sniezek and Henry (1990)
  • suggested that consensus is achieved through revision and weighting
  • revision occurs within the individual
  • weighting (the combination of multiple judgements) occurs within the group
24
Q

lens model of group decision and making consensus

A
  • based on ideas of revising in individuals and weighting in groups
  • model informs how groups may arrive at consensus judgements
  • accuracy of group decision making relies on accuracy of individual judgments
  • group judgements that are highly related to the criteria in the environment then this would be an accurate decision
  • can be influenced by systematic bias or persuasive individuals (unequal weighting)
  • weighting towards individuals and information can affect accuracy of the group judgement
25
Q

lens model conclusion

A
  • Lens Model provides a framework to help us think systematically about the different factors which might affect group cognition
  • However, it can be difficult to study as there is often limited access to the internal thought processes in discussions
26
Q

conditions for wisdom of crowds

A
  • wisdom of crowds does not work all of the time
  • the conditions when it does work:
    –> independent estimates = uncorrelated errors
    –> no systematic biases
    –> no coordination between group members
27
Q

uncorrelated errors

A
  • there is a true value
  • there is noise (differences)
  • with uncorrelated errors, Ps sample this true value with noise
    –> spread out estimates
    –> some below, some above and some close to the true value
28
Q

correlated errors

A
  • Ps sample the true value with noise AND bias
  • all tend to group together
    –> tend to be above the true value
    –> over estimate
  • Due to limited information
  • Due to shared (individual) biases
  • Due to group conformity
    –> all reduce the wisdom of crowds effect
29
Q

things that affect group cognition

A
  • groupthink
  • diversity
30
Q

groupthink

A
  • polarisation in group decision making
    –> attitudes expressed in the group move away from the average of individual’s opinion
    –> move towards a more extreme position
  • groupthink
    –> highly cohesive groups exhibit premature consensus seeking
    –> i.e. premature closure on the group level (quick decision making)
    –> leads to poor decision making
  • impacted by:
    –> overconfidence
    –> blindness to errors
    –> conformity
31
Q

what inspired groupthink?

A
  • JFK
  • Cuban Missile Crisis
  • Bay of Pigs
  • huge mistake
  • USA sent planes and tried to bomb Cuba
  • massive error
  • his group decision making with his close advisors was highly criticised
32
Q

example of groupthink: space shuttle challenger

A
  • launched on January 28th 1986
  • several delays before
  • freezing temperatures
  • some engineers concerned about the seals in the cold
  • ended up in a huge disaster
  • Rogers Commission found that issues with NASA’S organisational culture and decision-making processes had been key to the accident
33
Q

criticisms of groupthink

A
  • Not a distinct phenomenon?
  • Does it add anything to the literature of group reasoning?
  • Has it thwarted understanding of group reasoning?
  • Doesn’t happen?
    –> lack of empirical evidence for all of the constructs associated with groupthink
  • Focus on when group decisions have led to negative outcomes, restricts the understanding of group decision making process
  • BUT has been useful in focusing attention on potential flaws of group decision making
34
Q

diversity as an antidote to bias

A
  • more diverse editing teams produce higher quality Wikipedia articles
  • they spend longer in more complex discussion
35
Q

social accounts of reason

A
  1. interactionist account
  2. argumentative theory of reasoning
36
Q

interactionist account

A
  • reason evolved to produce and evaluate arguments
  • not for individuals to solve problems (the individualist account)
37
Q

interactionist approach - Wason task

A
  • Individually, 80% of people fail
    –> a strong bias against getting the right answer
    –> simple aggregation should compound this effect
  • Result: 80% of groups get the answer right
    –> majority failure converted to majority success
    –> a “truth wins” scenario
38
Q

argumentative theory of reasoning

A
  • analysis of transcripts shows exchange of arguments is key
    –> argumentative theory or reasoning
  • Mercier & Sperber argue that confirmation bias is an individual failing
    –> but here a collective strength
39
Q

how do groups reason?

A
  • exchange of arguments:
    –> “Groups typically co-constructed a structure of arguments qualitatively more sophisticated than that generated by most individuals”
  • arguments change people’s problem representation
40
Q

predicting collective intelligence - collective intelligence definition

A

the ability of a group to perform a wide variety of tasks

41
Q

collective intelligence

A
  • collective intelligence is the general ability of a particular group to perform well across a wide range of different tasks
  • Inspired by the idea of general intelligence performance of an individual across a range of different kinds of cognitive tasks, encapsulated as a common statistical factor calledgor general intelligence
  • does general intelligence of group predict collective intelligence?
42
Q

general intelligence or social sensitivity?

A
  • collective intelligence is not strongly correlated (only moderate relationship) with the average or maximum individual intelligence of group members
  • collective intelligence is correlated with:
    –> the average social sensitivity of group members
    –> the equality in distribution of conversational turn-taking
    –> the proportion of females in the group
    diversity within the group (can hinder or help depending on the task
    –> cognitive diversity (e.g., thinking styles)
  • takes more than a group of smart individuals to make a smart group
  • in creative innovative tasks, diversity assists
  • if efficacy is important, diversity is not helpful
43
Q

Wooley et al (2015)

A
  • 272 participants
  • 68 groups
    –> 34 groups online
    –> 34 groups face-to-face
44
Q

Wooley et al (2015) - experiment tasks

A
  • reading the mind in the eyes
    –> measure of social cognition and ability (theory of mind)
    –> guess someone’s mental states by looking at their eyes
  • choosing intelligence task
    –> sudoku was used as one measure of intelligence and was conducted either online (where communication was via text) or face-to-face
  • Raven’s Advanced Progressive Matrices test
  • generating task
    –> intelligence task
45
Q

Wooley et al (2015) - results

A
  • dominant collective intelligence factor
  • explained variance in results more than any other factor
  • social intelligence factor
    –> online and offline average RMET scores predicted average collective intelligence
    –> i.e. social sensitivity is important to group functioning
  • strong empirical evidence for the emergence of collective intelligence in online groups
  • theory of mind abilities are a significant determinant of group collective intelligence
    –> even when group is online and has limited communication channels
46
Q

predictors of group intelligence

A
  • average social sensitivity
  • amount of communication
  • distribution of communication
  • strongly suggests that the coordination problem of group work often outweighs the intellectual challenges
47
Q

summarise group cognition

A
  • Rather than “groups are smart” vs “groups are dumb” consider:
    –> what factors affect when groups are smart
    –> individuals bring information (but also biases to groups)
    –> how the group functions can average out (uncorrelated biases) or overcome them (through argument)
    –> communication can be as important as knowledge or intelligence