Test 2: Regret and Debiasing Flashcards

1
Q

What is Landman’s (1993) definition of regret and why is it better then the Webster’s dictionary definition:

A

“A more or less painful COGNITIVE and EMOTIONAL state of feeling sorry about ones misfortunes. IS an experience of felt REASON or REASONED EMOTION. Includes the sins of omission (inaction) and commission (action). They can be voluntary or accidental, executed deeds or entirely mental (Counterfactual Thinking).

The psychological definition of regret is better because it acknowledges the cognitive aspect of regret. Regret is a unique emotion because it involves reason, the comparison of actual outcome with a better alternative (upward CF thinking) that produces negative affect.

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2
Q

Why will everyone have regret?

A
Lifetime of choices:
everybody has a lifetime of choices. 
> some of them will be ill- 
   advised and lead to an 
   imperfect outcome.
> realisation that unfortunate 
   outcome could have been 
   avoided.

From this view of regret one can see that everybody will have experienced regret in their lifetime (instances where things could have gone better).

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3
Q

What are the (3) perspectives: to understand regret?

A
  1. Philosophical Perspective
> reflects on the nature of the 
   internal state.
> does "thinking" or "feeling" better describe regret (i.e. if it is more cognitive or 
   affective in nature).
> questions if regret is
   distinguishable from other 
   emotional states like 
   disappointment, guilt, 
   remorse or sadness.

**evidence suggests yes,
regret is a unique emotion.

  1. Economic
> you feel regret anytime there is a difference in    
   value between assets received and 
   the maximum value possible 
   if one had chosen an other 
   alternative.

**If what you have is less than
what you could have had you
will feel regret.

**If you do not know the outcome of the rejected alternative then you can not feel regret.

**bigger the difference
between our alternative and
forgone alternative the more
regret you will feel.

  1. Counterfactual Thinking
> Events are not evaluated in 
   isolation (according to the 
   norm theory, people 
   compare the the actual 
   outcome with an exemplar).
> Alternative reality is 
   compared to the actual 
   outcome (what "could have 
   been" vs "what did happen").

**thus, imagined outcomes can
cause regret (do not need to
know the outcome of the
forgone alternative).

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4
Q

Research Example:
What do people regret more?
Gilovich & Medvec (1995)
Elderly

A

In a longitudinal study Gilovich and Medvec (1995) asked 720 elderly individuals “in their lifetime what would you have done differently?”

Responses were coded and they found that responses fell into two categories:

A) Regrets of Inaction
e.g. should have been more
assertive, should have
completed school etc.

B) Regrets of Action
e.g. shouldn’t have married
early, been divorced or
stressed so much.

Inaction regrets were more common than action regrets as being elderly individuals biggest regret in their lifetime (54% vs 12%).

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5
Q

Research Example:
Gilovich and Medvec (1994)
Community

A

A random sample of adults with the mean age of 40 were drawn from a COMMUNITY sample.

Participants were asked “when you look back on your life and the things you regret, which do you regret more?”

A) All those things you did but
wished you didn’t.
B) All those things you didn’t
do but wish you did.

**Inaction was regretted more 
  then action (75% vs 25%).

In a different COMMUNITY sample participants were asked to “thinking of their greatest regretted action and inaction. Which do you regret more?”

**70% said that inaction, something they
didnt do but wish they did was
regretted more than an
an action (70% vs 30%).

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6
Q

Gilovich and Medvec (1994)
Multiple samples:
Old vs Young
Why?

A

compared whether action or inaction was regretted more in older or younger samples.

Participants were asked “when you look back on your life to this point, what are your biggest regrets?”

**Inaction was regretted more 
  than actions in YOUNGER 
  and OLDER samples, but the 
  effect was stronger in OLDER 
  sample.
why?
> actions do not tend to cluster 
   into consistent categories 
   like inaction regrets do.
> Actions regretted seem to be 
   expansive, meaning that 
   there are limitless actions 
   you can regret and themes 
   of their regretted actions 
   vary between people.
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7
Q

What is the “shift of action into inaction”

A

Finding that over the time course peoples biggest regrets shift from actions to inactions.

For example, When PSYC333 students were asked “think over the last month or [of your life] what do you regret most?”

Month:
> Action was regretted more
then inactions.

Life Course:
> Inactions were regretted
more than actions (held
greater weight over time).

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8
Q

Regret Research using Scenario’s

A

Participants were given the scenario:

Dave and Jim are enrolled in the same university but are both considering transferring to another more prestigious school. Dave stays where he is and Jim moves but they both end up with a poor outcome. Would Dave or Jim regret their decision more?

Majority of people said action (Jim) would be regretted more than inaction (Dave). i.e. 72% vs. 28%.

When asked who would regret their actions more in the long run. People shifted their answer from action to inactions (Dave > Jim).

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9
Q

Why does regret shift with time?

A
  1. Factors which can reduce the
    pain of regrettable actions
    more than inactions.

a) Behavioural
i.e. Compensatory
behaviours.

> engaging in other behaviours
that may make the situation
better, fix the problem or poor
outcome.

*Thinking of ways to make
things better is easier
following an action relative to
inaction.

b) Psychological

> More silver-linings can be 
   found for actions than 
   inactions.
> Functions to reduce cognitive 
   dissonance caused by 
   regretting your actions.
e.g. Downward counterfactual 
   thinking - it could have been 
   worse (making ourselves feel 
   better by thinking we could 
   not have changed the 
   outcome).

2.Factors that increase the pain
of regrettable inactions more
then actions.

a) inexplicable inaction

> time increases retrospective
confidence making inactions
inexplicable.

*the factors at the time where 
  we decided whether to do or 
  not do something is not 
  assessable in retrospect. Thus, 
  in retrospect inactions seem 
  inexplicable because we can 
  not recall the good reasons 
  that lead to us not doing 
  something.

> inhibitory factors are less
salient, so reasons for
inactions are hard to explain.

*Hindsight bias: I know i should have done that in hindsight now that I know the outcome and i find it hard to imagine choosing differently- maintains regret for longer.

b) what was vs what might have
been

> the consequences of our 
   actions are finite. Meaning 
   there is only what did happen. 
   In contrast the consequences 
   of inaction are infinite (what 
   could have beens-better 
   alternatives.)

Especially if we believe the infinite forgone opportunities may have changed our life course. In contrast the finite missed opportunities seem in substantial in comparison (why inactions feel more painful in the long run).

  1. Factors that promote cognitive
    accessibility of inactions more than
    actions.

a) Zeigarnik Effect
Failures to act are more memorable and
enduring then actions.

i.e. in-completed actions stay in our head longer and more accessible then completed actions. People are unable to let it go because it is incomplete, an unclosed action.

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10
Q

Regret and Decision Making:

What are the two ways that regret influences decision making?

A
  1. Retrospectively
    after a decision has been made we come
    to regret our choice.
  2. Anticipated Regret
    (prefeactual thinking)
    Comparing what might be with other
    possible alternatives. A form of projective
    thinking trying to anticipate regret in order
    to select the best choice of action.
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11
Q

Research Example 1:
Decision Making and Regret:
Simonson (1992)

A

Scenario:

> Participants were asked to think about a tv
on sale and decide if they would buy it in
July or August.
Participants would only know in August if
the price was lower in July or August.

Q: Would you feel more regret if…

A) You bought it in July and the August price
was better? Action regret

B) You wait till August to act and the price
was better in July? Inaction regret

When asked to make the decision without considering regret people choose equally between A and B.

When people were told to THINK about which action they would regret more they found that missing a sale due to Inaction was perceived to be regretted more than buying a TV and it being cheaper later (action).

FOMO (fear of missing out) is an example of how regret can influence our decisions and lead to impulse buys.

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12
Q

Research Example 2:
Decision Making and Regret:
Simonson (1992)

A

Participants were asked what they would regret more….

A) If the lesser known brand TV was inferior
and less reliable.
B) The name brand was not any better.

*before being asked about which they
would regret more there was no significant
difference in whether people selected (A) or
(B).

When THINKING about regret people said they would regret (B) more than (A) and this lead to most people purchasing the cheaper tv.

Prospect theory: the loss of a poor outcome from a cheaper tv is perceived to be less of a loss relative to the more expensive tv not being any better.

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13
Q

Why?
Doeds regret influence our decisons:
Regret theory

A

Regret Theory:

  1. People experience regret and rejoicing
    (prospect theory: losses loom larger than
    wins. Thus, regret is more influential on
    our decisions than gains.)
  2. People try to anticipate the likelihood of
    experiencing these emotions.
    (people try to anticipate regret to make in
    an attempt to avoid a poor outcome that
    will make us feel regret).
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14
Q

Research example:

Regret Theory

A

(A) $1,000,000 for sure
(B) 10% chance of $2,500,000
89% chance of $1,000,000
1% chance of $0

Rational decision makers should in theory select (B) but most people choose (A). Why? because as the prospect theory losses loom larger than wins and people tend to overestimate the likelihood of low probabilities. Thus, anticipation of regret leads people to fall into a behavioural trap of choosing (A) and being Loss Aversive.

**Regret theory argued that avoiding regret
is equivilant to avoiding risk.

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15
Q

Contradictory study to Regret theory:

Zeelenberg et al. (1996)

A

Argues people are not risk-averse, they are regret averse (i.e. they aren not equal) we can seperated.

Example:
 A) 35% chance of $130
     65% chance of $10
*risky option
 B) 65% chance of $69
     35% chance of $0
*safer option

If risk aversive you “should” choose the safer option (B).

Choice Only:
No matter what option you choose you will only get to know the outcome of the option you chose. Thus, if people are regret minimisers (and not risk adverse) then it shouldn’t matter if you choose the risky or safe option because there is no alternative to compare it to and thus, no chance of regret.

Risky Feedback:
No matter what option you choose you will get feedback for the risky outcome. Thus, if people are regret minimisers they will choose the risky option to avoid the chance of feeling regret (risk aversion and regret minimisation is not =).

Safe Feedback:
No matter which option you choose you will get feedback for the safe option. Thus, if people are regret minimisers they will choose the safe option.

**people will choose to minimise regret
irrespective of risk.

Results:
Preference Reversal on risk occurs because people are regret minimisers.

i. e. Risky Feedback = preference for safe
i. e. Safe Feedback = preference for risky

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16
Q

Zelenberg at al. (1999)
Preference Reversal of Risk-
Does level of safeness matter?

A
Two conditions:
A) High Variance between safe and risky 
    options (10% vs 90%)
B) Low Variance between safe and risky 
    option (40% vs 60%)

We found the same pattern of regret minimisation (i.e. preference reversal of risk) but the effect is stronger in high variance group.

17
Q

Regret is counterfactually based on…

A

emotional state. i.e. comparing actual vs. alternative outcome (upward counterfactual thinking).

18
Q

Actions are regretted more in ____ and inactions are regretted more ___.

A

short-term and long-term.

19
Q

Anticipation of future regret affects ___ in the here and now. E.g.

A

decisions. THINKING about future regret can lead us to be more risky in order to avoid the chance of regret.

20
Q

We are regret ___. E.g. applied example

A

minimisers. For example, in advertisment with limited time offers people have a tendency to make impulsive purchases in an attempt to avoid feeling regret of missing a good sale.

21
Q

Primary Mode (or traditional methods) of Debiasing:

A
  1. Incentives:
    > offer incentives for being more accurate.
    > from an economic perspective: if the goal
    is to maximise profit- then this should
    work.
  2. Forewarning
    > warning people of potential biases
    before they make their estimate.
    e.g. hindsight bias

note: anchoring only worked as a heuristic if
it was self-generated rather than
experimenter given.

22
Q

Why do debiasing techniques (like incentives and forwarning) not work?

A

They only work sometimes. Indicating that different TYPES of biases require different TYPES of debiasing!

-biases that are caused by different things
will require a specific type of debiasing.

23
Q

Research Example of Debiasing Hindsight Bias:

A

(A) Give participants a description of a
historical event.

> 1/2 of participants are asked to list all
possible outomes (foresight/predicition).
1/2 of participants are asked what the
“actual” outcomes were (hindsight).

Give participants a goal:

> Control group: Just read the text
Accuracy: More accurate yoou are the
more money you get (incentives).
Warning: warn them about the hindsight
bias- when people know the outcome of
an event this leads them to believe they
would have known this all along.

(B) Ask them to judge the probability of each
of the outcomes occurring (from the list).

> > > > the 1/2 of participants who knew the
actual outcome could not ignore this new
information and let it influence their
estimates. People tended to rate the
actual outcome as more likely than any
other alternative.

**thus, incentives for accuracy and
forewarning of bias did not eliminate
hindsight biases effect on probability
estimates.

24
Q

Types of Judgement Errors:
Arkes (1991)
(3) types of judgement errors:

A
  1. Stratergy Based:
    When saving effort is worth more than
    accuracy.

i.e. people engage in satisficing to make
good enough judgements and optimise
thier bounded rationality.

> Make more errors when:

  • there is a time constraint
  • more complex problem

> To debias this you need to:
- increase the benefits of accuracy i.e. use
incentives so people conduct a new
cost/benifit analysis and weight accuracy
as more important than efficiency.

  1. Association Based:
    When activated concepts have an
    unwanted influence on our estimates.

e.g. representativeness heuristics,
stereotypes etc.

**these are REALLY HARD TO DEBIAS
because incentives don’t seem to work
(because there is no cost/benifit analysis)
and forewarning rarely works.

**all we can do is replace the activated
construct with something else.

For example, when a stereotype is activated AND if we are aware of it we can actively think “no, these are not my values” and replace it with more egaltarinism views (equal rights). However, biases often occur outside of our conscious awareness so this is not always possible.

  1. Psychophysical Based:
    When the physical world does not match
    (map directly onto) the physical world.

i. e. using the prospect theory curve: $20 is $20’s physically but to someone who doesn’t have $20’s it’s weighted much more heavily.
i. e. it’s psychological value is greater than its physical value.

HARD TO DEBIAS only way to debias psychophysical based erroe is to change its location along the prospect curve. This isn’t an easy thing to do because losses psychophysical function is different from wins (losses loom larger than wins).

If you can change the initial comparison point along the curve with framing techniques (redefining losses) you can decrease slope of losses and the negative affect felt after lossing.

25
Q

According to Arkes (1999) Many errors are ___ and ___ based errors which are ___ to debias.

A

Association based, psychophysical based and really hard to debias.

26
Q

Wilson and Brekke (1994) Classifications of the types of judgement errors:

A
  1. Mental Contaminiation:
    There is something leaking out and
    contaminating our thinking process and
    judgements.
  2. Failures of rue knowledge/application
    Instances where there is a logical rule but
    we either do not know it or have not
    applied it correctly. Thus, these errors are
    relatively easy to fix- you just learn the rule.
27
Q

(2) examples of failing to apply the rule errors:

Wilson and Brekke (1994)

A

(1) what is the area of this box? (Width x
Hieght). 12cm x 6cm = 72cm squared.

> we can talk about how much a error differs
from the STATISTICAL/NORMATIVE answer.

(2) Medical Diagnosis
When doctors overestimate the
probability of illness given symptom.

Diagnostic test-reliability is calculated as the % of a (+) result given an illness divided by the % of a (+) result given no illness.

i.e. test reliability= % correct result/%false
positive.

However, to calculate the reliability of a diagnostic test we require two pieces of information:
> the % of illness given a (+) test
> % of illness in the population (base rate)

Q: what is the probability of a patient who
discovers a lump has cancer?

people say = % (lump/breastcancer) i.e. 80%

This is incorrect! out of 100 women:
the base rate of cancer in population is (10)

thus, 8/10 have lump and cancer
2/10 have lump and no cancer

thus, 72/90 have no lump and no cancer
18/90 have a lump and no cancer.

**the probability of a false positive is higher than having cancer!!! doctors forget that the reliability of a test is NOT equal to the % of the event occuring.

Conditional probabilities:
P(A/B) does not equal P(B/A)
P(lump/cancer) not equal to P(cancer/lump)
** you need to take into account the base rate
of an event occurring!!! especially when the
event (cancer) is very low probability of
occurring. Leads to lots of unessicary
surgeries.

Our overconfidence in calculating probailities DOES NOT disappear with:
> expertise (medical degree)
> forewarning (warning conditional properties and
needing base rates)
> Incentives

28
Q

(1) example of mental contamination errors:

Wilson and Brekke (1994)

A

Mental Contamination:
* a mixture of Arkes (1999) association based error an d
psychophysical based errors ( = mental contamination).

Heuristics guiding us down the wrong path:

Unwanted processing:
If yes, (1) Awareness
  then (2) Motivation
   and (3) Aware of Direction and Magnitude
   and (4) Ability to Control

If we have all of these things then and ONLY THEN do we get no contamination. If NO to any of these then we get contamination.

Removing bias:
> Incentives will increase motivation.
> Forwarning can make people aware of the direction of
bias but not it’s magnitude.

Thus, most debiasing techniques do not work because they do not capture all (4) aspects required to reduce heuristic contamination.

29
Q

According to Wilson and Brekke (1994) why are people still biased if they do not want to be?

A

(A) People do not recognise the types of things that can
lead to biases in our decision making process
(knowledge is not enough).
(B) People overestimate their ability to control their
thoughts, feelings and judgements. -espcially for
association, stereotype based errors)

30
Q

According to Wilson and Brekke (1994) what are (4) ways to successfully debias?

A

(1) Increase the awarness of the bias through forewarning
(2) Motivate people to avoid bias with incentives for
accuracy
(3) Make it clear the direction and magnitude of the bias
(4) The action/judgement has to be controllable

*If ALL of these conditions are met then bais can be
ameliorated.

31
Q

What is the Unconscious Thought Theory?

A

Is the unconscious thought less biased?

(A) Conscious Thought
Very limited capacity (only 40-60 bits per second)
(B) Unconscious Thought
Unlimited capacity with approx. 11,200,00 bits per
second
If we could tap into our unconscious thought maybe
we could make better (less biased) decisions.

32
Q

How could unconscious thought help descion making?

A

When we deliberate between two courses of action our unconscious thought:

> limits its focus to a set number of dimensions
often at the expense of other alternatives

If we used unconscious thought…

> we could by step heuristics that lead us to the wrong
alternative.
take a “fresh” look and examine the dimensions
outside of our conscious awareness.

33
Q

Dijksterhuis (2004)

Study 1

A

Evaluating which apartment is the best from a set of alternatives:

Participants were given information on each apartment to read through and make a decision on which one they would buy if they had to.

The “good” apartment had:
> 8 positive features
> 2 negative features

The “natural” apartment had:
> 6 positive features
> 6 negative features

The “bad” apartment had:
> 2 positive features
> 8 negative features

Then participants were asked to make their immediate decision:
(A) 1/2 participants were allowed to engage in conscious
thought (i.e. deliberate thinking) by being given 3
minuets to decide.
(B) 1/2 of participants had to make a decision
based on their unconscious thoughts (i.e. they
competed a cognitvely demanding task to disrupt
their thought).

Then evaluate each apartment.

Note:the DV was the difference between ratings of good
and bad apartments.

Results:

immediate decision task: both conscious and unconscious conditions failed to rate the good apartment as better than the bad apartment.

Evaluations:
Conscious thought condition rated the bad aparment equal to the good apartment (i.e. error).
Unconscious thought condition rated good>bad i.e. they correctly rated the positive apartment better than the bad aparment.

**Only a difference in Evaluations i.e. unconscious >
conscious

34
Q

Dijksterhuis (2004)

Study 2

A

Replication of study 1:

But key difference is that evaluations were replaced with CHOICE (selection of the good apartment) and WHAT they based their decisions on (global).

In unconscious condition they were more likely to…
> choose the good apartment (choice) compared to
conscious and immediate thought conditions.
> to base their judgements on global factors compared
to conscious thought and immediate condition.

**a choice difference

35
Q

Dijksterhuis (2006)

What is conscious thought?

A

Two processes of uncosious thought?

(A) Polarisation
Positive features become more positive and negative
features become more negative, overtime, as
alternatives are processed in the back of our mind.

(B) Clustering
> a form of associative processing which results in a
more organised representation of each alternative.
> related information is clustered together on their
relevant dimension making recall of the presentation
better.
*intergration of clusters across dimensions into one representation means judgment become more global-based on all dimensions rather than a select few (that limits conscious thought).

(A) leads to (B) where its a deeper level of processing where associations are built.

36
Q

Dijksterhuis (2005)
Study 1
Poster

A

Compared peoples decisions on poster choice across three groups:
(A) Immediate Decision
(B) Conscious Thought
(C) Unconscious Thought

Measured their choice and evaluation of their choice.

**people in the unconscious 
  thought group were happier 
  with their choice and would 
  sell their poster for a higher 
 price, endowment effect 
 reflects they made a better 
 decision than the other 
 groups.
37
Q

In unconscious thought a thing?

Comparing literature and forming a conclusion:

A

Meta-Analysis:

(A) Strict et al. concluded 
      there was good evidence.
(B) Acker concluded there was 
     little to no evidence.
(C) Neuwienstein et. al.  
     concluded there was no 
     evidence.

*Matt Crawford-evidence is
mixed (at best the answer is
maybe).

38
Q

Some biases are not ___ but the cost of an otherwise ___ strategy (i.e. heuristics).

A

errors and effective.

39
Q

Who are the highly calibrated? the most effective predictors without bias?

A

Weather Forecasters and Meteorologists.

(A) They have a repetitive task 
       "is it going to rain?"
(B) Immediate and clear 
     feedback (it either rains or it 
     doesn't)
(C) Huge databases 
(D) Formal Models of Making 
     Predictions
(E) No such thing as self- 
     fulfilling prophecies