habits / breaking habits Flashcards

(43 cards)

1
Q

what did William James say about habits?

A
  • most of our behaviour (about 99%) is habitual
  • product of habits and becomes routine
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2
Q

why study anything else?

A
  • maybe researchers are biased towards ‘agentic’ accounts of behaviour
  • Mazar and Wood (2022) suggest people are
  • we like to believe we act on conscious decision making
  • but really a lot behaviour could be due to habits (more automatic than conscious)
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3
Q

what are habits?

A
  • strong associations (in memory) between contexts and response
  • have developed through repetition
  • don’t just appear
    –> build up and are created over time
  • and by consequence:
    –> relatively automatic responses to contexts that are insensitive to changes in the value or contingency of response outcomes
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4
Q

what are habits? (Verplanken, 2006)

A
  • habit should not be equated with frequency of occurrence
  • but rather should be considered as a mental construct involving features of automaticity
    –> such as lack of awareness, mental efficiency, and being difficult to control
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5
Q

evidence for habits being strong associations between contexts and responses (Adriaanse et al., 2011)

A
  • identify habits:
    –> what would you usually snack on at home? (habitual response)
    –> what snack would you eat if this was not available? (alternative response)
  • primed lexical decision task:
    –> decide if a letter string is a word or non-word
    –> prime = home
    –> targets = responses that the participants had generated + filler items (e.g., stairs, clock, saddle, wheels)
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6
Q

results of Adriaanse et al. (2011)

A
  • faster response time when habitual snack good was presented, compared to alternative snack food
  • cue/prime word was ‘home’
  • the prime word ‘home’ was associated with the habitual snack foods and so time to respond was quicker
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7
Q

do associations develop through repetition? (Wood, Quinn and Kashy, 2002)

A
  • experience sampling
    –> participants recorded what they were doing at the moment of the watch chime
    –> the frequency with which they had performed the behavior in the past month
    –> the extent to which they performed the behavior in the same physical location each time
    –> the involvement of other people in the behavior (others involved vs. others not involved)
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8
Q

results of Wood, Quinn and Kashy (2002) - results

A

about 43% of actions were performed almost daily and usually in the same context

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9
Q

to what extent are habitual responses ‘automatic’?

A
  • (some) criteria for establishing automaticity:
    –> do not require deliberation
    (i.e. are efficient)
    –> occur outside conscious awareness
    –> insensitive to changes in the value of the response
    (i.e. are not dependent on people’s goals
    –> are difficult to control
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10
Q

Aarts et a. (1997) - methods

A
  • so strong habits remove the need for deliberation?
    1. measure strength of cycling habits for 82 students
    –> decide, as quickly as possible, how to travel for nine trips
    –> the frequency of mentioning the bicycle served as a measure of habit
    2. 16 descriptions of travel situations, each with 4 attributes:
    –> weather conditions
    –> weight of luggage
    –> departure time
    –> distance to the destination
    3. favourability of using the bicycle in each travel situation
    –> 1-10 scale
    4. the number of attributes used to make decision were recorded
    –> operationalised as how predictive attributes were of decision
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11
Q

results of Aarts et al. (1997)

A
  • when cycling was a strong habit, less attributes are used
  • more attributes used for weaker habits
    –> people who aren’t habitual cyclists deliberate more, use available info and evaluate the specific context/scenario
  • less deliberation for stronger habits
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12
Q

Wood, Quinn and Kashy (2002)

A
  • same study as before but with A NEW QUESTIONS
  • what were you thinking about during this activity?
  • whether they considered each behavior to be a habit
    –> yes / no
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13
Q

results of Wood, Quinn and Kashy (2002) - new Qs

A
  • for non-habitual behaviours = 70% of the time people are thinking of the behaviour
  • for habitual behaviour, a lot less thinking of the behaviour is done
    –> more likely to think of something else
    –> 40% of the time we think of the habitual behaviour
  • think more for non-habitual behaviour
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14
Q

Neal et al. (2011) - are habits insensitive changes in the value of the response?

A
  1. ask about habit strength
    - how frequently do you eat popcorn in the cinema?
  2. study context
    - cinema or meeting room
    - either rate movie trailers in a fake theatre
    OR
    - rate adverts in a meeting room (bright lights etc…)
    - EVERYONE gets a bag of popcorn
  3. value of the response was manipulated
    - popcorn was either fresh or stale (7 days old)
  4. DV = how much popcorn do Ps eat?
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15
Q

results of Neal et al. (2011) - adverts

A
  • don’t really eat the popcorn
    –> doesn’t match the context
  • habits doesn’t really matter
  • little bit more for the nicer popcorn
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16
Q

results of Neal et al. (2011) - trailers

A
  • eat more than adverts group
  • when the popcorn is nice more people eat it
    –> habits aren’t really a factor
  • when it’s stale habits matter
    –> habitual eaters eat more (taste doesn’t matter, just carry on as usual)
    –> non-habitual eaters eat less for stale popcorn
    (taste matters, more conscious, context matters)
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17
Q

habits aren’t just behaviour

A
  • we also have mental habits
    –> e.g. HINT (Habit Index of Negative Thinking)
  • ‘thinking negatively about myself is something…’
    1. i do frequently
    2. i do automatically
    etc…
  • way of measuring HINT
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18
Q

are habits part of who we are?

A
  • the Self-Report Habit Index
    –> doing X is something that is typically me
19
Q

Murtagh et al (2012) - self-report habit index

A
  • “Being a driver is an important part of defining who I am”
  • “In general, how often do you do the following for local journeys?”
    –> cycle/Use local bus/Walk/Take a train, tube or tram?’
  • rs vary between 0.02 and 0.07
20
Q

Albini et al (2018) - self-report habit index

A
  • “How important is it to you to eat two or more portions of fruit a day / vegetables a day?”
  • “Eating fruit every day is something…”
    –> e.g. I do frequently = self-report habit index
  • “Eating vegetables every day is something…”
    –> e.g. I do frequently = self-report habit index
  • correlation found for vegetables (r = 0.49), but not fruit (r = 0.06)
    –> correlation between self-reported habits and actual behaviour
    –> those who report eating more veg, eat more veg
21
Q

Verplanken and Sui (2019) - self-report habit index

A
  • how much does this activity reflects who you really are as a person
    –> i.e. your “true self”?
  • how frequently do you do this activity?
  • the median correlation between these two measures was r = 0.46.
22
Q

are habits always bad?

A
  • for the most part habits are functional
    –> they mean that we do not have to deliberate about what to do
    –> e.g. getting up and brushing our teeth
  • but people often use the term habits to refer to “bad” or unwanted habits
    –> e.g. biting nails
23
Q

Webb & Sheeran (2006) - possible to break/change habits?

A
  • meta-analysis of 47 studies that changed participants’ intentions to do things
  • changes in intentions led to larger changes in behaviours that participants performed sporadically (d+ = 0.74) than in behaviors that could be repeated into habits (d+ = 0.22)
  • harder to break/change habits
  • not enough to intend to do something
24
Q

why do people fail to act on their intentions?

A
  • counter intentional habits
    –> Intentions have smaller effects on behaviours performed frequently in similar situations (Ouellette & Wood, 1998)
25
why are habits so hard to break?
1. people may not be aware: - that habits drive behaviour - of the cues that trigger habits - of the habitual responses themselves 2. habits are also: - insensitive to changes in the value of the response - may come to define us
26
3 strategies to break habits
1. change circumstances 2. vigilant monitoring 3. make a plan
27
changing circumstances to break habits
- if habits are cued by recurring stimuli, then changes in circumstances that remove these stimuli should disrupt habits
28
Wood, Tam & Guerrero Witt (2005) - 1 to 4 weeks pre moving
- uni students before moving away asked about: 1. frequency of performance - participants reported how often they: --> exercised --> read the newspaper --> watched TV 2. stability of context --> Ps indicated whether they typically performed each behaviour in the same location, with the same people (or alone), and whether those around them perform the behaviour
29
Wood, Tam & Guerrero Witt (2005) - 2 to 4 weeks AFTER moving
- uni students after moving away asked about: 1. frequency of performance - participants reported how often they: --> exercised --> read the newspaper --> watched TV 2. changes in context --> Ps indicated whether they typically performed each behaviour in the same location, with the same people (or alone), and whether those around them perform the behaviour - Ps also reported the extent to which the context in which they performed each behaviour at the two universities was similar / different
30
Wood, Tam & Guerrero Witt (2005) - results
- watching tv --> more perceived change (different cues), behaviour changes --> less perceived change, behaviour is maintained - exercise --> -> more perceived change (different cues), behaviour changes --> less perceived change, behaviour is maintained - always a steeper line for strong habits --> change in context is more disruptive for strong habits - newspaper reading: --> same results as the other two
31
vigilant monitoring
- have to actively try and consciously measure behaviour to break habits - thinking to yourself 'don't do it' - watching carefully for mistakes - monitor behaviour in detail
32
Quinn et al (2010) - vigilant monitoring
- Ps asked to identify behaviors that they tried to inhibit or change during a typical day - measure strength of participants’ habits --> how often they had performed the unwanted behavior in the past --> the extent to which they performed the unwanted act in the same location each time
33
Quinn et al (2010) - follow up methods
- asked to keep a diary for 2 weeks - reported the strategies they used: --> vigilant monitoring (e.g. thinking “don’t do it”, watching carefully for mistakes, monitoring behavior) --> distraction --> stimulus control (e.g., removing opportunity) --> nothing - rated the overall success of each attempt to change their behavior
34
Quinn et al (2010) - results
- monitoring strategy (vigilant monitoring) was affective in breaking both strong and weak habits - distraction was less effective in strong habits - stimulus control (removing access to cues that drive behaviour) --> not very effective in strong habits --> could be because people don't know the cues (so can't control for them)
35
make a plan
- use the implementation intention - if-then contingent plans - trying to break an association can involve forming a new intention to replace it --> i.e. an implementation intention
36
Adriaanse et al (2011) - implementation condition
- when asked about their alternative snack choice, half of the Ps were asked to make a plan --> "if I am at home, and I want to snack then I will take [alternative]" - will they respond quicker to alternative snack in the lexical decision task?
37
Adriaanse et al (2011) - implementation condition (rationale/hypothesis)
- forming an implementation intention creates a new association with the critical cue that is then pitted against the habitual association in a ‘horse race
38
results for Adriaanse et al (2011) - implementation condition
- if they form a plan, they perform quicker for alternative behaviour --> e.g. responding to banana - but also slightly slower for habitual response - more similar response times --> almost even/level out - could be because prime word 'home' now triggers two things when a plan has formed --> not one thing and so response is slower for habitual, faster for non-habitual
39
Holland, Aarts, & Langendam (2006) - methods
- a telecom-company installed recycling boxes for old paperwork and plastic cups, but the amount binned did not seem to be reduced (boxes made it easier) - one group of employees asked to plan when, where and how they would recycle their paper and plastic cups - recycling behavior --> weight of paper and cups in each participant’s dustbin at the end of a working day was measured
40
Holland, Aarts, & Langendam (2006) - results
- looked at behaviour pre-measure, 1 week later, 2 weeks later, 2 months later - no change in control group - recycled more a week later in the implementation intention --> this also persisted over time --> forming plans can break habits
41
Webb, Sheeran, & Luszczynska (2009, Exp. 2) - breaking stronger habits
- recruited regular smokers who wanted to quit from high schools - measured strength of smoking habits: --> Fagerstrom Test for Nicotine Dependence -- >number of months as a smoker --> number of attempts to give up smoking - one half form implementation intentions to plan what to do when presented with usual cues - control condition completed one of three control exercises concerning seat belt use - one month later, participants’ smoking behaviour was followed up --> recorded number of cigarettes per day
42
resutls of Webb, Sheeran, & Luszczynska (2009)
- planning helped those with weak habit to smoke less cigarettes - no effects of planning found in those who had a much stronger habits - there are boundaries --> perhaps those with stronger habits need multiple strategies
43
summary
- habits are generally helpful, but when they become unwanted they are hard to change - changes in circumstances that reduce exposure to the cues that trigger the habitual response can disrupt habits - if changes in circumstances are not possible, then vigilant monitoring or forming plans that link the cue with a new, alternative, response may help