cognitive bias & choice architecture
TRANSCRIPT
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Cognitive Bias & Choice Architecture Jamie Neville, University Housing Services
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The Inspiration
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Goals
• To learn the basics of how people make decisions
• To learn how we impact those decisions
• To recognize the importance of being both ethical and intentional in how we present choices to our students
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Learning Outcomes • Develop a basic understanding of
heuristics, cognitive bias, and choice architecture
• Identify ways cognitive bias impact daily decision making
• Utilize principles of choice architecture to enhance the decisions made by students
• Understand the ethical issues associated with choice architecture
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APPROXIMATELY 6 ½ MILLION XBOX ONE CONSOLES WERE SOLD
IN THE LAST HOLIDAY SEASON.
HOW MANY PLAYSTATION 4 CONSOLES WERE SOLD IN THE
SAME TIME FRAME?
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DID MAHATMA GHANDI DIE BEFORE OR AFTER AGE 100?
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Jargon
• Heuristic – A shortcut or rule of thumb used to make a
decision
• Cognitive Bias
– a flaw in judgment which is caused by memory, social attribution, emotional response, and statistical errors
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Anchoring
• A heuristic that involves using a number or value as a starting point, and then adjusting one's answer away from this anchor
• Did we fall victim to the anchoring heuristic?
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JCPenney IN 2012…
IN 2015
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How We Think
Automatic • Uncontrolled • Effortless • Associative • Fast • Unconscious
Reflective • Controlled • Deductive • Slow • Resource Demanding • Follows Rules
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COMMON HEURISTICS & COGNITIVE BIASES
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Representativeness
• Placing something in a category because it has similarities to members of that category
• Essentially, stereotyping
• Example: – Assuming a student is a party animal
because s/he lives on a floor with a high incidence of alcohol violations
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Availability Bias
• Overestimating the likelihood of easily-memorable events
• Example: – Fear of flying on airplanes – Asthma vs Tornadoes
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Status Quo Bias
• Aversion to change and aversion to investment of time
• More than just a habit
• Example: – The free trial / magazine
subscription – The default effect – Why I still get Sears emails
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Self-Serving Bias
• The tendency to take credit for successes but blame failures on external factors
• Example: Test questions that weren’t in the notes, bad professors, and the people who bring alcohol into my room
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The Gambler’s Fallacy
• The misconception that chances are affected by past results
• Example: – I was just pulled over for a DUI last
night. I probably won’t get pulled over tonight.
– Sooner or later, I’ll win a raffle.
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Default Effect
• The most frequently picked choice is “no choice.”
• Example: – “Send usage statistics to Google” – “Install Ask.com toolbar”
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CHOICE ARCHITECTURE
The act of designing a choice in a manner which encourages choice makers to select the most desirable choice.
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Stimulus Response Compatibility
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The Cafeteria
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ISU’s Campus - Residence Hall
- Liquor Store
- Bar or Pub
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Lake Shore Drive
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Anti-Virus Software
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Recycling
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Principles
• N.U.D.G.E.S – iNcentives work – Understanding mappings – Defaults – Give feedback – Expect error – Structure complex choices
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Words of Caution
• The Opportunity of Failure • A Slippery Slope
– When a nudge becomes a shove
• Evil or Unethical – The need for neutral choice architects
• Bad Nudges and Market Awareness
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Other Things to Consider
• More options ≠ Better Architecture • Correlation ≠ Causation • Social Issues ≈ Motivation • The 20 Second Rule • Choice Makers are not Rational
Thinkers
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AN IMPORTANT DIFFERENTIATION
Student Development
Manipulation
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Student Affairs
• Course Selection • Conduct Meetings • Housing Selection • Involvement & Leadership
• What are your thoughts on how
this can be applied to our daily practice?
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Who on our campus…
• …designs the choices presented to faculty and staff?
• …designs the choices presented to students? • …sets the defaults? • …decides what is “most desirable”?
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Discussion
• What happens when the most desirable option for the student is the least desirable option for the institution/department?
• Comcast contract • Pop Up Video Ads • Withdrawal Process
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Highly Recommended Readings
• Nudge – by Richard Thaler and Cass Sunstein – The blog: nudges.org
• Predictably Irrational – by Dan Ariely
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QUESTIONS & DISCUSSION