Mismatched: What's Wrong With the Way We Recognize Patterns
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Mismatched: What's Wrong With the Way We Recognize Patterns

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Every day we are overwhelmed with a barrage of information in the world around us. To make sense of this onslaught of data, we look for patterns, and we make decisions every moment based on the ...

Every day we are overwhelmed with a barrage of information in the world around us. To make sense of this onslaught of data, we look for patterns, and we make decisions every moment based on the patterns we recognize.
Of course, that skill saves us an enormous amount of time and energy and really helps us make sense of the world, organizing and packaging it, as tidily as possible. But what can go wrong with the way we identify these patterns? What impact does forcing everything into a pattern have upon us a human beings? More specifically, too, how can imposing patterns upon user experiences actually undermine their efficacy - unless they're designed in a careful, thoughtful way?

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  • Mismatched: What’s Wrong With the Way We Recognize Patterns? – Presented at SXSW 2014 – By Robert Stribley, Associate Experience Director, Razorfish <br /> #patterns <br />
  • There are at least 35 major and minor political parties in the United States, plus any number of independents <br /> http://en.wikipedia.org/wiki/List_of_political_parties_in_the_United_States#Parties_with_federal_representation <br />
  • What do these questions have in common? What&apos;s the difference among these questions? <br />
  • We are poor tolerators of ambiguity. <br />
  • “Popped Collar” - Photo by Robert Stribley, Times Square, New York, NY <br /> Photo: Flickr.com/stribs <br />
  • Butterfly on the New York City Highline <br /> Photo: Flickr.com/stribs <br />
  • But it’s not enough for us to say that something’s a butterfly. We recognize there are many different types of butterflies. <br />
  • And we label them down to the species and sub-species level. <br /> Butterflies at the American Museum of Natural History’s Butterfly Conservatory.  <br /> Photo: Flickr.com/stribs <br />
  • Some examples of pattern recognition <br />
  • Diagram by biologist D’Arcy Wentworth Thompson showing the similarity between ink drops falling through water and the shape of a jellyfish. Included in Chaos by James Gleick. <br />
  • Facebook recognizes faces now and sometimes even suggests names of those depicted <br />
  • Google Flu Trends does something very similar based on user searches <br />
  • The minimalist Dots at left and the colorful, cluttered Candy Crush Saga at right. <br />
  • Candy Crush Saga at right and CandySwipe its predecessor at left. <br /> http://www.snopes.com/politics/business/candycrush.asp <br />
  • Taken from my tumblr, Pattern Recognition - http://stribs.tumblr.com <br />
  • Remarkably similar posters for Game of Thrones and The Hunger Games. Taken from my tumblr, Pattern Recognition - http://stribs.tumblr.com <br />
  • Various stages of Elvis <br />
  • From left to right: Designer Ralph Lauren, Senator Joe Lieberman, actor Don Knotts <br />
  • Nature takes advantage of pattern recognition to enable pollination <br />
  • A face? Or 3 circles and a straight line? <br />
  • Image: Russell Crowe as John Nash in A Beautiful Mind <br />
  • For more on issues with recognizing patterns, check out this excellent episode of RadioLab on Stochasticity: <br /> http://www.radiolab.org/story/91684-stochasticity/ <br />
  • What’s wrong with categorical thinking? <br />
  • Professor Robert Sapolsky <br />
  • As information architect we utilize activities like card sorts and deliverables like taxonomies and site maps in order to neatly categorize content <br />
  • Categorical thinking can do damage <br />
  • If we focus on categories, we can overlook important distinctions between items in those categories. <br />
  • Barney or Elmo? <br />
  • Ralph Lauren, Joe Lieberman, Don Knotts: Not all the same. <br />
  • If we focus too much on the boundaries, we can overlook similarities between items <br />
  • Visual from Answers in Genesis, a Creationist organization - answersingenesis.org <br />
  • We impose artificial boundaries to the color spectrum. This can make discussing concepts of color difficult across cultures. <br /> Similarly when we categorize people it’s easy to overlook their human similarities <br />
  • If we focus on boundaries, we can miss the big picture. We get lost in the categories. <br />
  • Sapolsky’s example <br />
  • Sapolsky’s example <br />
  • Some solutions <br />
  • Spectrums can be more accurate than limited categories <br /> It’s OK to classify things in multiple categories <br /> Stay alert to field bias to see the full picture <br />
  • Spectrums can be more accurate than limited categories. <br />
  • Kinsey <br />
  • Helping to understand human sexuality as more than simply binary <br />
  • Diagram: Prof. Michael Storms – The Storms model <br />
  • The Storms model – As Scattergram <br />
  • Spectrums offer more nuance. But beware of artificial boundaries within a spectrum, too. <br />
  • It’s OK to classify things in multiple categories. <br />
  • Mercedes card sort example <br /> Another example: Filtering music events by Free, Family, Outdoors <br />
  • Taxonomies can be flexible but still authoritative <br /> Machine-based tagging or “entity extraction” allows for previously unexposed relationships to be highlighted, more nuanced ways of categorizing information <br />
  • Recognize and highlight connections between things in different categories <br />
  • Stay alert to field bias to see the full picture <br />
  • Understanding this led E.O. Wilson to “Consilience,” the understanding that we can properly understand the world around us by synthesizing various bodies of knowledge. <br />
  • Blind monks examining an elephant – image from Wikimedia <br /> They may all be correct or partially correct <br />
  • Remember our examples from Mercedes? <br />
  • Encourage communication among departments, between users and stakeholders. <br />
  • Photo by Plastic Robot/Christopher Stribley - Maya Hayuk mural at Houston & Bowery, New York, NY - http://www.mayahayuk.com <br />
  • Enjoy ambiguity <br />
  • Thank you! <br />
  • Some resources <br />

Mismatched: What's Wrong With the Way We Recognize Patterns Mismatched: What's Wrong With the Way We Recognize Patterns Presentation Transcript

  • Mismatched What’s wrong with the way we recognize patterns? Robert Stribley Associate Experience Director, Razorfish #patterns
  • How many political parties are there in the United States?
  • How many political parties are there in the United States? How many colors are there? How many genders are there? How many forms of sexual orientation are there? How many races are there? How many states are there?
  • We’re poor tolerators of ambiguity
  • We live in an incredibly complex environment We’re constantly bombarded by stimuli How do we process all this information?
  • Pattern Recognition The ability to identify familiar forms within a complex arrangement of sensory stimuli Butterfly on the New York City Highline
  • Butterflies Labeled by Species
  • Some examples of pattern recognition
  • Scientists note patterns in attempts to understand the natural world
  • Facebook recognizes faces and even suggests names
  • Researchers use Twitter to track and forecast flu outbreaks
  • The games we play invariably require pattern recognition
  • We can recognize when one game design is based on another November 2010 November 2010 April 2012 April 2012
  • Or when one design has likely influenced another
  • We can recognize when designs follow trends
  • Pattern recognition helps us recognize the same person, despite changes to their appearance over time.
  • We might see people and conclude they look alike, which can lead to cases of mistaken identity
  • Bees mistake flowers for sexual partners
  • But humans wouldn’t mistake a facsimile for the real thing like that, would we?
  • So recognizing patterns is tremendously useful. But sometimes in seeing patterns, we arrive at conclusions, which aren’t correct.
  • Just a few of the problems we encounter when recognizing patterns: •Apophenia •Pareidolia •Post hoc ergo propter hoc •Confirmation bias, selection bias •Binary thinking •Tribalism •Categorical thinking
  • Categorical thinking? What’s wrong with categorical thinking?
  • Robert Sapolsky Professor of Biology, Neurology, Neurological Sciences, Neurosurgery, Stanford University
  • “We think in categories. We take things that are in continua and we break them into categories. And we label those categories. And we do that in various settings because it could be extremely useful.” – Sapolsky UX people: Think card sort, think taxonomy, think site map
  • "Fall into categorical thinking and you can do unspeakable damage in the realm of science that makes difference." – Sapolsky *and in life and in design
  • 1. Focus on categories and we can overlook distinctions within categories.
  • 2. Focus on boundaries and we can overlook similarities between items.
  • Man V. Ape Focus on differences between species and you may overlook many obvious similarities
  • Color Spectrum
  • 3. Focus on boundaries and we can miss the big picture. All we see are categories.
  • cho-pho-use
  • chophouse
  • What are some solutions?
  • 1. Spectrums can be more accurate than limited categories.
  • Alfred Kinsey
  • Human Sexuality and the Kinsey scale
  • Prof. Michael Storms – The Storms Model
  • Takeaway: Spectrums offer more nuance. But beware of artificial boundaries within a spectrum, too.
  • 2. It’s OK to classify things in multiple categories.
  • Employ flexible categorization systems 1.Flexible taxonomies 2.Crowd-sourced tagging 3.Machine-based tagging
  • Takeaway: Recognize and highlight connections between things in different categories
  • 3. Stay alert to field bias to see the full picture
  • • We tend to categorize in ways which reflect our training or background • A biologist, a geneticist, and an endocrinologist might answer the same question in different ways • They present categorical solutions which reflect their language and cultural differences
  • We encounter the same issue when working with different departments within an organization
  • Takeaway: Encourage communication among departments, between users and stakeholders.
  • • We can’t operate as human beings without recognizing patterns. • Categorization can be a helpful thing. • Until it isn’t. Then it can be damaging. • Or it can make information difficult to process and navigate. • So approach recognizing patterns with nuance.
  • Enjoy ambiguity
  • Thank you Robert Stribley @stribs This presentation on Slideshare: www.slideshare.com/stribs My tumblr about pattern recognition: stribs.tumblr.com
  • For Further Study •Biology & Human Behavior: The Neurological Origins of Individuality – Professor Robert Sapolsky, The Great Courses •Chaos – James Gleick •First Principle: Disambiguation – Rachel Lovinger, Contents Magazine •Stochasticity – Radio Lab, WNYC, Season 6, Episode 1 Special thanks to Amy Stack, Rachel Lovinger and Jason Scott for their feedback on this presentation. Dedicated to my wife, Amy Stack.