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How I'm using biological data to tell better stories -- and spark social change

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    For the past 15 years I've been trying
    to change your mind.
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    In my work I harness pop culture
    and emerging technology
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    to shift cultural norms.
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    I've made video games
    to promote human rights,
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    I've made animations to raise
    awareness about unfair immigration laws
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    and I've even made location-based
    augmented reality apps
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    to change perceptions around homelessness
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    well before Pokémon Go.
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    (Laughter)
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    But then I began to wonder
    whether a game or an app
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    can really change attitudes and behaviors,
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    and if so, can I measure that change?
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    What's the science behind that process?
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    So I shifted my focus
    from making media and technology
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    to measuring their
    neurobiological effects.
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    Here's what I discovered.
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    The web, mobile devices,
    virtual and augmented reality
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    were rescripting our nervous systems.
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    And they were literally changing
    the structure of our brain.
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    The very technologies I had been using
    to positively influence hearts and minds
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    were actually eroding functions
    in the brain necessary for empathy
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    and decision-making.
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    In fact, our dependence
    upon the web and mobile devices
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    might be taking over our cognitive
    and affective faculties,
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    rendering us socially
    and emotionally incompetent,
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    and I felt complicit
    in this dehumanization.
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    I realized that before I could continue
    making media about social issues,
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    I needed to reverse engineer
    the harmful effects of technology.
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    To tackle this I asked myself,
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    "How can I translate
    the mechanisms of empathy,
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    the cognitive, affective
    and motivational aspects,
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    into an engine that simulates
    the narrative ingredients
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    that move us to act?"
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    To answer this I had to build a machine.
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    (Laughter)
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    I've been developing
    an open-source biometric lab,
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    an AI system which I call
    the Limbic Lab.
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    The lab not only captures
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    the brain and body's unconscious response
    to media and technology,
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    but also uses machine learning
    to adapt content
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    based on these biological responses.
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    My goal is to find out what combination
    of narrative ingedients
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    are the most appealing and galvanizing
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    to specific target audiences
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    to enable social justice, cultural
    and educational organizations
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    to create more effective media.
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    The Limbic Lab consists
    of two components:
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    narrative engine and a media machine.
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    While a subject is viewing
    or interacting with media content,
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    the narrative engine takes in
    and syncs real-time data
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    from brain waves,
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    biophysical data like heart rate,
    blood flow, body temperature
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    and muscle contraction
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    as well as eye-tracking
    and facial expressions.
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    Data is captured at key places
    where critical plot points,
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    character interaction
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    or unusual camera angles occur.
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    Like the final scene
    in "Game of Thrones" "Red Wedding,"
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    when shockingly, everybody dies.
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    (Laughter)
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    Survey data on that
    person's political beliefs,
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    along with their psychographic
    and demographic data,
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    are integrated into the system
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    to gain a deeper understanding
    of the individual.
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    Let me give you an example.
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    Matching people's TV preferences
    with their views on social justice issues
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    reveal that Americans who rank
    immigration among their top three concerns
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    are more likely to be fans
    of "The Walking Dead,"
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    and they often watch
    for the adrenaline boost,
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    which is measureable.
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    A person's biological signature
    and their survey response combines
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    into a database to create
    their unique media imprint.
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    Then our predictive model
    finds patterns between media imprints
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    and tells me which narrative ingredients
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    are more likely to lead to engagement
    in altruistic behavior
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    rather than distress and apathy.
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    The more imprints added to the database
    across mediums from episodic television
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    to games,
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    the better the predictive models become.
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    In short, I am mapping
    the first media genome.
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    (Applause and cheers)
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    Whereas the huiman genome
    identifies all genes
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    in sequencing human DNA,
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    the growing database of media imprints
    will eventually allow me
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    to determine the media DNA
    for a specific person.
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    Already the Limbic Lab's
    narrative engine
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    helps content creators refine
    their storytelling
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    so that it resonates with their target
    audiences on an individual level.
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    The Limbic Lab's other component,
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    the media machine,
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    will assess how media elicits
    an emotional and physiological response,
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    then pulls scenes from a content library
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    targeted to person-specific media DNA.
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    Applying articial intelligence
    to biometric data
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    creates a truly personalized experience.
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    One that adapts content based
    on real-time unconscious responses.
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    Imagine it non-profits and mediamakers
    were able to measure how audiences feel
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    as they experience it
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    and alter content on the fly.
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    I believe this is the future of media.
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    To date, most media
    and social-change strategies
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    have attempted to appeal
    to mass audiences,
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    but the future is media customized
    for each person.
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    As real-time measurement
    of media consumption
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    and automated media production
    becomes the norm,
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    we will soon be consuming media
    tailored directly to our cravings
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    using a blend of psychographics,
    biometircs and AI.
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    It's like personalized medicine
    based on our DNA.
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    I call it "Biomedia."
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    I am currently testing
    the Limbic Lab in a pilot study
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    with the Norman Lear Center,
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    which looks at the top 50
    episodic television shows.
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    But I am grappling with
    an ethical dilemna.
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    If I design a tool that can be
    turned into a weapon,
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    should I build it?
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    By open-sourcing the lab
    to encourage access and inclusivity,
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    I also include the risk of enabling
    powerful governments
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    and profit-driven companies
    to appropriate the platform
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    for fake news, marketing
    or other forms of mass persuasion.
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    For me therefore it is critical
    to make my research
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    as transparent to lay
    audiences as GMO labels.
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    However, this is not enough.
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    As creative technologists,
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    we have a responsibility
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    not only to reflect upon how present
    technology shapes our values
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    and social behavior,
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    but also to actively challenge
    the trajectory of future technology.
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    It is my hope that we make
    an ethical commitment
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    to harvesting the body's intelligence
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    for the creation of authentic
    and just stories
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    that transform media and technology
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    from harmful weapons
    into narrative medicine.
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    Thank you.
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    (Applause and cheers)
Title:
How I'm using biological data to tell better stories -- and spark social change
Speaker:
Heidi Boisvert
Description:

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Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
07:49

English subtitles

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