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Decision paralysis
too many choices, more negative evaluations of decision
generally feel more insecure about choice
regret & dissatisfaction
Why feel bad when choice overload?
too many choices is difficult: frustration with choosing → negative outcomes
builds lofiter expectations → disappointment when finally make choice
fear of better options: start thinking about all forgone options after choice
Biopsychological Model of Challenge/threat
extent to which participants feel capable & confident during performance
Challenge (BPSC/T)
evalutate high resources to meet/exceed demands
arteries dilated
more efficient blood flow
extent to which we care about the task
Threat (BPSC/T)
evaluate low resources compared to demands
arteries constricted
less efficient blood flow
Saltsman et al. BPSC/T
measured heart rate & blood pressure while participants did task in 1 of 3 conditions
choose between 4 dating profiles
choose between 15 dating profiles
rate 15 dating profiles (no choice to make)
Saltsman et al. BPSC/T results
choice overload condition had highest task engagement & experienced more threat
Motivational paradox of choice overload
feels more important, but also feels like choice is relatively less manageable
low resources compared to demands
could intensify FOBO
Maximizers
study options thoroughly to make perfect choice
Satisficers
quickly choose and accept choice, even if not the best
Maximizing vs Satisficing
maximizing has more negative subjective outcomes after choice overload
can spend way too long dwelling on trivial choices
greater regret & dissatisfaction after making choice
Defensive satisficing
when choosing from many options feels overwhelming
avoid thinking through decisions
learn to accept subpar choices
How to reduce choice overload
establish a few clear guidelines (limit scope of options)
put choices into perspective: trivial = satisificing, important = maximizing
defer responsibility (e.g. to algorithms shaped by data on our interests, tendencies, behaviors & needs)
Ethical & privacy concerns with algorithms
collecting & sharing data
manipulating consumer purchase behavior
costs to autonomy & choice
may lead to misinformation as algorithm chooses what is right for user, not what is objectively right
Fast & frugal heuristics
mental shortcuts/rules of thumb
visual & affective elements
recognition heuristics: selecting info based on familiarity
“take the best” heuristic: choosing info based on the first cue that discriminates it
Information overload
uncertain, confused, anxious, conflicted
lack of meaning, helplessness, reduced perceived control, disengagement & avoidance
desire for simple explanation
Confirmation bias
rely on initial info, ignore belief-challenging info
Personality factors for confirmation bias
openness vs close-mindedness
Situational factors for confirmation bias
confirmation bias is greater when
commitment to belief is high
confidence in belief/attitude is low
Meaning Maintenance Model
when meaning is threatened, seek to regain elsewhere
turn to stabilizing personal, cultural & social values
perceive certainty, control & structure where there isn’t
Why conspiratorial thinking?
provides order & structure
cause & motives to accidents/random circumstances
Negativity bias
on average, negative events/stimuli
more likely to grab attention
more likely to elicit strong reactions
more likely to prioritize & sway processing
larger spikes in EEG activity
Why negativity bias?
evolutionary adaptive
less negative consequences for ignoring possible positive opportunities
higher stakes if ignore possible aversive danger
Algorithms & info overload
fostering stronger, angrier biases that individuals really want to believe
initial biases → confirmatory & negative biases → similar & more extreme negative recommendations
content producers incentivized to maximize attention & engagement → produce polarizing content
Sucessful ragebait themes
us vs them
moral outrage
Us vs them
outgroup = wrong, failing, losing
Moral outrage towards outgroup
expressing feelings in response to perceived violation
posts composed of emotions such as anger, disgust & contempt
feeling associated with specific reactions (blaming, holding people responsible, wanting punishment)
Moral pop-out effect
moral info prioritized in attention & memory
moral words more likely to be recognized when presented near level of perceptual awareness
faces of moral trasngressors more likely to be recognized
Illusory truth effect
things we hear more often feel more true, even if false
familiar, consistent, repetitive info = more likely to be believed & remembered
Social identity theory
early evolutionary pressures ot prioritize one’s in-group & kin
outgroup threat in a world scarce of resources
internalize ingroup/outgroup mentality
Ingroup/outgroup mentality
collectives → important part of self-concept
people motivated to feel good about self
people feel better about self when belong to groups that feel superior to others
Most impactful collectives
culturally salient
valuable
central to self
Moral Foundations Theory
care/harm
fairness/cheating
ingroup loyalty/betrayal
authority/subversion
purity/degradation
Why partisanship?
believed to capture fundamental values & beliefs
democrats/liberals tend to prioritize 1 & 2
conservatives/republicans tend to prioritize 3-5
Affective polarization
growing disdain & disregard for the other side
out-group rated as increasingly cold
other side = hypocritical, selfish, close-minded
implicit associations test: >70% show ingroup bias
shapes judgements in apolitical domains
Affective vs actual polarization
more likely to overperceive polarization when
foucsed on opposing groups’ views
identified strongly with partisan label
held relatively extreme partisan beliefs
overperceive collective moral outrage
Content creation and moral outrage
premium for convincing, attention-grabbing content
not only to attract eyes, but influence public opinion over time
Deepfakes and polarization
restructure/misrepresent truth to maximised engagement & impact
sowing doubt, deepening divides
Solution to deepfakes
educate self
companies screening & monitoring (data & machine learning)
Data-rich world
companies have a lot of access to our data
can use stats software but need additional tools with more massive datasets
incorporate mechine-learning to assist with analysis
Thematic Data Analysis
complex process involving understanding overarching themes & common elements in qualitative data
Limits of image precision
photorealism/visual fidelity
but we only have so much computing power
hyperrealism can backfire and turn into uncanny valley
Versimilitude
culmination of features feeling real
internal consistency
Photorealism
appearing realistic
Communicative realism
feeling real/believable
Presence (realism)
illusion of being in that world
Sensory input & VR presence
sight is very important
80% of people feel sight is most essential sense
relatively large amount of brain dedicated to visual processing: visual cortex
most acute sense for differentiation
Stereopsis
eyes view at slightly different angles & brain integrates info into 1 coherent image
enhances depth perception
essential to VR presence: left & right images projected at proper angles
Foveated rendering
field of vision clearest in the centre
peripheral vision more indistinct
Haptic feedback
physical touch that corresponds to visual stimuli
Movement & motor activity (VR presence)
walking vs standing in place/advancing with mouse
Virtual body representation
even if presented crudely, can contribute ot VR presence
individuals mimic response of virtual avatar
Proteus Effect
Common clinical VR uses
exposure therapy
behavior skills training
cognitive skills training
Siutational assessment for VR
examine responses in simulated environments to inform diagnosis
Exposure therapy
repeated exposures to situations
Exposure therapy in VR
flexibly manipulate intensity of situation
fear-related processes in safe environment
provide skills & training to manage situations during exposure
comparable to actual exposure