Cognitive biases and group decision making, pi works 2014
-
Upload
iap2-cascade-chapter -
Category
Education
-
view
147 -
download
0
description
Transcript of Cognitive biases and group decision making, pi works 2014
![Page 1: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/1.jpg)
Cognitive Biases in Public Participation Processes
Ursina Teuscher, PhDSam Imperati, JD Dan Hahn, MS
teuscher-counseling.com workforceuniverse.commediate.com/icm/
![Page 2: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/2.jpg)
Public Sector and Non-Profit Alaska Federal & State JudgesAtkinson School of ManagementAmerican Arbitration AssociationBonneville Power AdministrationBeaverton, Hillsboro, Portland, Salem & Tigard SchoolsCities of Bend, Damascus, Fairview, Lake Oswego, Sherwood, Tallahassee (FL), Tigard, Troutdale, andWood VillageCentral Oregon Community College Clean Water ServicesCounties of Clackamas, Multnomah, & WashingtonExecutive Officers ClubFederal Court Clerks Association Hillsboro Chamber of Commerce Idaho Federal & State JudgesInstitute of Internal Auditors and Institute for Professional in TaxationJohns Landing Chamber of CommerceLong Term Care Ombudsman OfficeMetro Fire Officer AcademyClackamas, Marion and WashingtonCountiesNational Association of Securities Dealers(FINRA)National Association Regulatory Attys.Ninth Circuit Court of AppealsOregon Court of AppealsOregon DAS, DEQ, DLCD, DOT, DOJ,EMPL, Lands, PUC, WCB & WCDOregon Executive MBA ProgramOregon Health Science UniversityOR, MT & ID State Bar AssociationsPort of Portland
Representative ClientsPrivate SectorAbercrombie & FitchAdvanced Data ConceptsBristol-Meyer SquibbCalifornia Canned Peach GrowersChevronCounselors of Real EstateDow CorningEdPlus HoldingsEDS CorporationFootwiseFred Meyer, Inc.Fujitsu AmericaGE CapitalHeery InternationalHydaburg Fisheries & TribeInFocus Systems, Inc.One Block Off The GridStatement of RatesPortland Community CollegeProvidence Hospitals, Olympia & PortlandSacred Heart Medical CenterSwedish Medical CenterUniversities of Idaho, Oregon andWashingtonUnitusU.S. Bankruptcy/District Courts: SouthernDistrict of New York, Western District ofPennsylvania, California & Oregon
U.S. Bureau of Land Management, U.S.Immigration & Naturalization Service, U.S. Forest Service, & U.S. Soil Conservation ServiceWestern Conference of Workers Comp InsurersWashington Assoc. of Medical Staff ServicesVA Medical Councils: NY, OR-WA, LAWA and OR State Bar AssociationsWA, OR, MT, and ID Mediation AssociationsNW NaturalPortland General ElectricPortland Metropolitan Area Realtors Professional ProfundsLiability FundSafeway, Inc.State Accident Insurance FundSeminar GroupShell OilStandard Insurance CompanyState FarmVirginia Mason Medical CentersWaggener EdstromWomen Entrepreneurs of OregonXerox
![Page 3: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/3.jpg)
Understanding how cognitive biases influence participant opinion in your public process
Tools you can use to help those participants:● Recognize their impact● Re-think their points of view ● Provide balanced recommendations
Workshop Goal
![Page 4: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/4.jpg)
Agenda
● Cognitive conflict awareness
● Cognitive bias overview and exercises
● Solutions
![Page 5: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/5.jpg)
Decision Making and Emotion“Cognitive Conflict” = Importance x UncertaintyExamples:
1. High Importance and High Uncertainty2. High Importance and Low Uncertainty3. Low Importance and High Uncertainty4. Low Importance and Low Uncertainty
Too much cognitive conflict creates PANICToo little creates APATHY
Janis, I. L., & Mann, L. Decision Making: A psychological analysis of conflict. NY: Free Press.Berlyne, D. E. Structure and Direction in Thinking. NY: Wiley
![Page 6: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/6.jpg)
Navigating Psychological Traps
The $20 Auction:1. Bidding starts at $1 and proceeds in $1 increments.
And, yes, this is for real money!2. No jump bidding.3. Fair warning before the auction ends.4. No communication, verbal or nonverbal, is allowed.5. Highest bidder pays what they bid and gets $20.6. Second highest pays what they bid.
A) Competitive Arousal (Rivalry), Spotlight, & Time Pressures Avoid Them!
![Page 7: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/7.jpg)
C) Concession Aversion:
People perceive equal trades as unequal:
● Losses are overvalued
● Gains are undervalued
● Equal trades are difficult to make
I used to have an apple...
I used to have an orange...
![Page 8: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/8.jpg)
D) Construal Biases:
People think others hold more extreme views than they do in a partisan situation
![Page 9: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/9.jpg)
E) Fairness as a Decision-Making Criterion:
People reject deals that leave them better off than no deal if they perceive that their norms of fairness are being violated in accepting the deal.
![Page 10: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/10.jpg)
F) Fundamental Attribution Error:
We react to situations while others act in accordance with immutable character traits.
i.e. - We attribute good motivations to ourselves and bad to others.
That train derailment
made me late!
You’re late because you’re
lazy!
![Page 11: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/11.jpg)
G) The Availability Bias:
Tendency to focus on information that is more readily available to us.
People overestimate causes of death that make the news (airplane vs car crashes, cancer vs asthma).
![Page 12: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/12.jpg)
The Ladder of Inference7. We are mystified and frustrated by their position6. We are confronted with the opposing view5. We take action based on that belief4. We then make the assumption that the only logicalconclusion is that we are right and they are wrong3. We subconsciously select the data that supports arepreconceived position2. We don’t appreciate we are only capable ofprocessing some of it1. We start with a large pool of available dataAdapted from Peter Senge
H) Confirmation Bias:
The undermining of data that is inconsistent with our pre-existing mindset; thus “overvaluing” our position
![Page 13: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/13.jpg)
Quickly read the colors of the inks:
REDORANGEYELLOWGREENBLUE
PURPLE
![Page 14: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/14.jpg)
Again, read the colors of the inks:
REDORANGEYELLOWGREENBLUE
PURPLE
I) Automatic Cognitive Processes:
Control us more than we want to admit
![Page 15: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/15.jpg)
J) Sunk Costs Trap
We tend to favor alternatives which we have incurred substantial costs for
Even though these costs were incurred in the past and usually unrecoverable
Previous investment should not be considered when evaluating new alternatives
![Page 16: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/16.jpg)
Pop Quiz: First Question
● If you choose to exit now through Door 1, you get an envelope with $200.
● If you choose Door 2, you get a sealed envelope randomly pulled from a bag.
● 20% of the envelopes contain $1,000 and 80% are empty.
● Which do you choose?
![Page 17: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/17.jpg)
Second Question● The doors are now locked. If you go out Door 1, you will be
required to pay $200.
● If you choose Door 2, you get a sealed envelope randomly pulled from a bag.
● 20% of the time you will be required to pay $1,000. 80% of the time you leave for free.
● Which do you choose?
![Page 18: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/18.jpg)
L. Loss Aversion:
People often fear losses more than they value gains even when the amounts (expected utilities) are the same!
Door 2
Door 1$200
20%
80%
$1,000
$0
20% * $1,000 = $200
80% * $0 = $0
+ = $200
= $200
![Page 19: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/19.jpg)
The Punch Lines
● Smart people make systematic decision making mistakes on a regular basiso Effects many managerial and executive decisions
Why? Automatic cognitive processes are habit-bound. Weare each so darn human!
![Page 20: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/20.jpg)
Example
“TheCatChasedTheDog”
is easier to understandand remember than
“daCCaDeteghhhosTeT”
![Page 21: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/21.jpg)
Mentally Evaluating Simultaneous Considerations is Challenging:
“What day follows the day before yesterday
if two days from now will be Sunday?”
![Page 22: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/22.jpg)
Instead, Divide and Conquer
What day is two days before Sunday?Easy! Friday
If today is Friday, what day was the day before
yesterday?Easy! Wednesday
If today is Wednesday, what day is tomorrow?
Easy! Thursday
![Page 23: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/23.jpg)
This list is difficult to process and remember:
CARROT, LAWYER, PLANE, SPEAR, TRUCK,PEAS, KNIFE, SAILOR, PISTOL, BROCCOLI,DOCTOR, BOAT, SWORD, CAR, CORN,PLUMBER,
Bousefield, W. A. (1953). The occurrence of clustering in the recall of randomly arranged associates. Journal of General Psychology, 49, 229-240.
![Page 24: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/24.jpg)
The following list is easier to process and remember:
CARROT, BROCCOLI, CORN, PEAS,
KNIFE, PISTOL, SPEAR, SWORD,
TRUCK, CAR, BOAT, PLANE,
DOCTOR, LAWYER, PLUMBER, SAILOR
We understand better when we organize attributes into groups
Cofer, C. N. (1951). Verbal behavior in relation to reasoning and values. In H. Guetzkow (Ed.), Groups, Leadership, and Men. Pittsburgh: Carnegie Institute for Conflict Press.
![Page 25: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/25.jpg)
We Understand Differently When We Arrange Attributes Differently
SKYSCRAPER, TEMPLE, CATHEDRAL, PRAYERsuggests the category “buildings”, and PRAYERseems not to belong.
PRAYER, TEMPLE, CATHEDRAL, SKYSCRAPERsuggests the category “religion”, and SKYSCAPPERseems not to belong.
![Page 26: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/26.jpg)
Solution: Attribute Re-framing
We are afraid of noise, pollution, inconvenience, reduced overall quality of life, higher taxes
![Page 27: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/27.jpg)
Solution: Attribute Re-framing
Better:Calm, cleanliness, convenience, quality of life, investment
Crum, A. J., Salovey, P., & Achor, S. (2013). Rethinking stress: The role of mindsets in determining the stress response. Journal of Personality and Social Psychology, 104(4), 716–733. Achor, S. (2013). Before Happiness: Five Actionable Strategies to Create a Positive Path to Success. Random House.
![Page 28: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/28.jpg)
Solution: Priority Checklist
Well Structured Set of Priorities:❏ Fundamental (not instrumental)❏ Positive❏ Non-redundant❏ Objective/quantifiable ❏ Meaningful❏ Complete❏ Relevant❏ Independent
![Page 29: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/29.jpg)
Solution: Decision Tables
Criterion 1 Criterion 2 Criterion 3 Criterion …
Option 1
Option 2
Option 3
Option …
![Page 30: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/30.jpg)
Solution: Decision Tables25% 40% 15% 20%
Benefit for Local
BusinessExpense
Neighborhood Aesthetics
Parking
Pedestrian Zone
Bike Paths
Weekend Closures
No Change
![Page 31: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/31.jpg)
Solution: Decision Tables25% 40% 15% 20%
Benefit for Local
BusinessExpense
Neighborhood Aesthetics
Parking
Pedestrian Zone
High Moderate Excellent Poor
Bike Paths Moderate High No Change Moderate
Weekend Closures
Moderate Moderate Moderate Moderate
No Change None Low UnchangedUnchange
d
![Page 32: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/32.jpg)
Solution: Decision Tables25% 40% 15% 20%
Benefit for Local
BusinessExpense
Neighborhood Aesthetics
Parking
Pedestrian Zone
High Moderate Excellent Poor
Bike Paths Moderate High No Change Moderate
Weekend Closures
Moderate Moderate Moderate Moderate
No Change None Low UnchangedUnchange
d
![Page 33: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/33.jpg)
Solution: Decision Tables25% 40% 15% 20%
Benefit for Local Business
Expense
Neighborhood Aesthetics
Parking
Pedestrian Zone
10 5 10 3 6.6
Bike Paths 5 1 4 5 3.25
Weekend Closures
5 5 6 4 4.95
No Change 3 9 5 5 6.1
![Page 34: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/34.jpg)
Solution: Decision Tables
A) Provides external memory
B) Compares alternatives systematicallyC) Focuses on outcomes and factsD) Analyzes outcomes by attributes/criteriaE) Arranges attributes/criteria into weighted groups
![Page 35: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/35.jpg)
Solution: Decision Trees
No Pedestrian Zone (No Change)
+ $125,000 for Local Business
75%
25%
Pedestrian Zone (New)
- $300,000 on Local Business
No Change
$18,750
Expected Utility
$0
75% * $125,000
+ 25% * - $300,000
![Page 36: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/36.jpg)
Solution: Structuring Uncertainty w/ Multiple Criteria
![Page 37: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/37.jpg)
Solution: Decision Trees
![Page 38: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/38.jpg)
Solution: Education
Someone takes a strident standPoster child for cognitive biasesHow do you confront this and save face?
Normalize the reaction:“I’m not surprised to see polarized
views…”
![Page 39: Cognitive biases and group decision making, pi works 2014](https://reader033.fdocuments.us/reader033/viewer/2022061301/548e808bb47959b3488b4a13/html5/thumbnails/39.jpg)
Thank you
teuscher-counseling.com workforceuniverse.commediate.com/icm/
Ursina Teuscher, PhDSam Imperati, JD Dan Hahn, MS