Random Jottings the Cognitive Biases Issue
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Detection of Confirmation and Distinction Biases in Visual
EuroVis Workshop on Trustworthy Visualization (TrustVis) (2019) R. Kosara, K. Lawonn, L. Linsen, and N. Smit (Editors) Detection of Confirmation and Distinction Biases in Visual Analytics Systems . A. Nalcaci , D. Girgin , S. Balki , F. Talay, H. A. Boz and S. Balcisoy 1Sabanci University, Faculty of Engineering & Natural Sciences, Istanbul, Turkey Abstract Cognitive bias is a systematic error that introduces drifts and distortions in the human judgment in terms of visual decompo- sition in the direction of the dominant instance. It has a significant role in decision-making process by means of evaluation of data visualizations. This paper elaborates on the experimental depiction of two cognitive bias types, namely Distinction Bias and Confirmation Bias, through the examination of cognate visual experimentations. The main goal of this implementation is to indicate the existence of cognitive bias in visual analytics systems through the adjustment of data visualization and crowdsourc- ing in terms of confirmation and distinction biases. Two distinct surveys that include biased and unbiased data visualizations which are related to a given data set were established in order to detect and measure the level of existence of introduced bias types. Practice of crowdsourcing which is provided by Amazon Mechanical Turk have been used for experimentation purposes through prepared surveys. Results statistically indicate that both distinction and confirmation biases has substantial effect and prominent significance on decision-making process. CCS Concepts • Human-centered computing ! Empirical studies in visualization; Visualization design and evaluation methods; 1. Introduction cording to existing studies, usual heuristic errors involve confirma- tion bias, which characterizes people’s approaches to receive the Visual perception is the combination of physical and thoughtful de- confirmatory corroboration of a pre-existing hypothesis and dis- sign that provides the ability to interpret the environment and the miss contrary information. -
Ilidigital Master Anton 2.Indd
services are developed to be used by humans. Thus, understanding humans understanding Thus, humans. by used be to developed are services obvious than others but certainly not less complex. Most products bioengineering, and as shown in this magazine. Psychology mightbusiness world. beBe it more the comparison to relationships, game elements, or There are many non-business flieds which can betransfered to the COGNTIVE COGNTIVE is key to a succesfully develop a product orservice. is keytoasuccesfullydevelopproduct BIASES by ANTON KOGER The Power of Power The //PsychologistatILI.DIGITAL WE EDIT AND REINFORCE SOME WE DISCARD SPECIFICS TO WE REDUCE EVENTS AND LISTS WE STORE MEMORY DIFFERENTLY BASED WE NOTICE THINGS ALREADY PRIMED BIZARRE, FUNNY, OR VISUALLY WE NOTICE WHEN WE ARE DRAWN TO DETAILS THAT WE NOTICE FLAWS IN OTHERS WE FAVOR SIMPLE-LOOKING OPTIONS MEMORIES AFTER THE FACT FORM GENERALITIES TO THEIR KEY ELEMENTS ON HOW THEY WERE EXPERIENCED IN MEMORY OR REPEATED OFTEN STRIKING THINGS STICK OUT MORE SOMETHING HAS CHANGED CONFIRM OUR OWN EXISTING BELIEFS MORE EASILY THAN IN OURSELVES AND COMPLETE INFORMATION way we see situations but also the way we situationsbutalsotheway wesee way the biasesnotonlychange Furthermore, overload. cognitive avoid attention, ore situations, guide help todesign massively can This in. take people information of kind explainhowandwhat ofperception egory First,biasesinthecat andappraisal. ory, self,mem perception, into fourcategories: roughly bedivided Cognitive biasescan within thesesituations. forusers interaction andeasy in anatural situationswhichresults sible toimprove itpos and adaptingtothesebiasesmakes ingiven situations.Reacting ways certain act sively helpstounderstandwhypeople mas into consideration biases ing cognitive Tak humanbehavior. topredict likely less or andmore relevant illusionsare cognitive In each situation different every havior day. -
Infographic I.10
The Digital Health Revolution: Leaving No One Behind The global AI in healthcare market is growing fast, with an expected increase from $4.9 billion in 2020 to $45.2 billion by 2026. There are new solutions introduced every day that address all areas: from clinical care and diagnosis, to remote patient monitoring to EHR support, and beyond. But, AI is still relatively new to the industry, and it can be difficult to determine which solutions can actually make a difference in care delivery and business operations. 59 Jan 2021 % of Americans believe returning Jan-June 2019 to pre-coronavirus life poses a risk to health and well being. 11 41 % % ...expect it will take at least 6 The pandemic has greatly increased the 65 months before things get number of US adults reporting depression % back to normal (updated April and/or anxiety.5 2021).4 Up to of consumers now interested in telehealth going forward. $250B 76 57% of providers view telehealth more of current US healthcare spend % favorably than they did before COVID-19.7 could potentially be virtualized.6 The dramatic increase in of Medicare primary care visits the conducted through 90% $3.5T telehealth has shown longevity, with rates in annual U.S. health expenditures are for people with chronic and mental health conditions. since April 2020 0.1 43.5 leveling off % % Most of these can be prevented by simple around 30%.8 lifestyle changes and regular health screenings9 Feb. 2020 Apr. 2020 OCCAM’S RAZOR • CONJUNCTION FALLACY • DELMORE EFFECT • LAW OF TRIVIALITY • COGNITIVE FLUENCY • BELIEF BIAS • INFORMATION BIAS Digital health ecosystems are transforming• AMBIGUITY BIAS • STATUS medicineQUO BIAS • SOCIAL COMPARISONfrom BIASa rea• DECOYctive EFFECT • REACTANCEdiscipline, • REVERSE PSYCHOLOGY • SYSTEM JUSTIFICATION • BACKFIRE EFFECT • ENDOWMENT EFFECT • PROCESSING DIFFICULTY EFFECT • PSEUDOCERTAINTY EFFECT • DISPOSITION becoming precise, preventive,EFFECT • ZERO-RISK personalized, BIAS • UNIT BIAS • IKEA EFFECT and • LOSS AVERSION participatory. -
Advisory Study and Literature Review Report to the UK Higher Education Funding Bodies by CFE Research
UK Review of the provision of information about higher education: Advisory Study and Literature Review Report to the UK higher education funding bodies by CFE Research April 2014 Dr Abigail Diamond Professor Jennifer Roberts Dr Tim Vorley Dr Guy Birkin Dr James Evans Jonathan Sheen Tej Nathwani © HEFCE 2014 For more information about this report please contact: Abigail Diamond CFE Research Phoenix Yard Upper Brown Street Leicester LE1 5TE T: 0116 229 3300 W: www.cfe.org.uk E: [email protected] Established in 1997, CFE is an independent not- for-profit company specialising in the provision of research and evaluation services across the fields of education, employment and skills. CONTENTS Executive Summary ........................................................................................... 4 Research Background, Aims and Approach ......................................................................4 Key Findings ......................................................................................................................4 Principles for Information Provision in Higher Education ............................................... 7 Potential Areas for Future Research .................................................................................9 Chapter 1: Introduction .................................................................................. 11 1.0 Project Background ................................................................................................ 11 1.1 Aims and Objectives .............................................................................................. -
Final Thesis for Defence
Master of Fine Arts Thesis A Kind of Souvenir Morgan Rose Free Submitted in partial satisfaction of the requirement for the degree of Master of Fine Arts, School of Art and Design Division of Sculpture/Dimensional Studies New York State College of Ceramics at Alfred University Alfred, New York 2017 ________________________________________________________________ Morgan Rose Free, MFA ________________________________________________________________ Angus Powers, Thesis Advisor ________________________________________________________________ Diane Cox, Thesis Advisor 1! of 25! Table of Contents MEMORIES MOMENTS OF NOSTALGIA LONGING AND THE PASSAGE OF TIME 3 DO NOT FORGET THE SMELL OF THIS PLACE 4 I THOUGHT IT WAS ABOUT LANDSCAPE. I THOUGHT IT WAS ABOUT PLACE. BUT ITS WHAT LIES UNDERNEATH AND WHAT IT BRINGS BACK UP 6 LONGING FOR LONGING FOR LONGING FOR LONGING FOR LONGING 8 SEEK OUT PROFOUND MOMENTS HIDDEN IN THE MUNDANE AND PROLONG THEM. KEEP THEM 10 WHY IS IT AT THIS TIME OF NIGHT THAT MY BRAIN WORKS THE BEST? 13 ROSY RETROSPECTION (IS A GREAT TERM I FOUND ON THE INTERNET) 16 THROUGH MOST MODES OF TRANSPORTATION YOU ARE GOING SOMEWHERE WHILE SITTING PERFECTLY STILL. 19 SEE WHATEVER YOU’RE LOOKING AT BUT ALSO FEEL THE WAY YOU’RE SEEING 22 ITS ABOUT RECLAIMING SOMETHING THATS LOST AND SQUEEZING IT SO FUCKING TIGHT THAT IT BREAKS AGAIN 24 ENDNOTES 25 2! of 25! I make art to attempt to fill a void. To feed an insatiable hunger. I forever want. I can’t stop. Nothing satisfies. It’s about creating something that I can’t have. Something that can’t exist. A perpetual chase after an impossibility. -
John Collins, President, Forensic Foundations Group
On Bias in Forensic Science National Commission on Forensic Science – May 12, 2014 56-year-old Vatsala Thakkar was a doctor in India but took a job as a convenience store cashier to help pay family expenses. She was stabbed to death outside her store trying to thwart a theft in November 2008. Bloody Footwear Impression Bloody Tire Impression What was the threat? 1. We failed to ask ourselves if this was a footwear impression. 2. The appearance of the impression combined with the investigator’s interpretation created prejudice. The accuracy of our analysis became threatened by our prejudice. Types of Cognitive Bias Available at: http://en.wikipedia.org/wiki/List_of_cognitive_biases | Accessed on April 14, 2014 Anchoring or focalism Hindsight bias Pseudocertainty effect Illusory superiority Levels-of-processing effect Attentional bias Hostile media effect Reactance Ingroup bias List-length effect Availability heuristic Hot-hand fallacy Reactive devaluation Just-world phenomenon Misinformation effect Availability cascade Hyperbolic discounting Recency illusion Moral luck Modality effect Backfire effect Identifiable victim effect Restraint bias Naive cynicism Mood-congruent memory bias Bandwagon effect Illusion of control Rhyme as reason effect Naïve realism Next-in-line effect Base rate fallacy or base rate neglect Illusion of validity Risk compensation / Peltzman effect Outgroup homogeneity bias Part-list cueing effect Belief bias Illusory correlation Selective perception Projection bias Peak-end rule Bias blind spot Impact bias Semmelweis -
1 Embrace Your Cognitive Bias
1 Embrace Your Cognitive Bias http://blog.beaufortes.com/2007/06/embrace-your-co.html Cognitive Biases are distortions in the way humans see things in comparison to the purely logical way that mathematics, economics, and yes even project management would have us look at things. The problem is not that we have them… most of them are wired deep into our brains following millions of years of evolution. The problem is that we don’t know about them, and consequently don’t take them into account when we have to make important decisions. (This area is so important that Daniel Kahneman won a Nobel Prize in 2002 for work tying non-rational decision making, and cognitive bias, to mainstream economics) People don’t behave rationally, they have emotions, they can be inspired, they have cognitive bias! Tying that into how we run projects (project leadership as a compliment to project management) can produce results you wouldn’t believe. You have to know about them to guard against them, or use them (but that’s another article)... So let’s get more specific. After the jump, let me show you a great list of cognitive biases. I’ll bet that there are at least a few that you haven’t heard of before! Decision making and behavioral biases Bandwagon effect — the tendency to do (or believe) things because many other people do (or believe) the same. Related to groupthink, herd behaviour, and manias. Bias blind spot — the tendency not to compensate for one’s own cognitive biases. Choice-supportive bias — the tendency to remember one’s choices as better than they actually were. -
Declinism: How Rosy Retrospection Impacts Decision-Making - Ness Labs
4/23/2021 Declinism: how rosy retrospection impacts decision-making - Ness Labs MENU Declinism: how rosy retrospection impacts decision-making Anne-Laure Le Cunff • Reading time: 5 minutes “It was better before,” says your friend. “Ha, those were the days,” your reply with a sigh. Declinism is the belief that societies tend towards decline, often linked with rosy retrospection—our tendency to view the past more favourably and the future more negatively. It may seem harmless, but declinism can cloud your judgement and lead to bad decisions. How can you avoid it? The history of declinism Declinism is not new. The latin phrase “memoria praeteritorum bonorum can be roughly translated into English as “the past is always well remembered.” This memory bias has been described by writer Jemina Lewis as a “trick of the mind” and as an “emotional strategy, something comforting to snuggle up to when the present day seems intolerably bleak.” The modern definition of declinism can be traced back to the work of Edward Gibbon, who was an English historian, writer and Member of Parliament. Between 1776 and 1788, he published The History of the Decline and Fall of the https://nesslabs.com/declinism-rosy-retrospection 1/5 4/23/2021 Declinism: how rosy retrospection impacts decision-making - Ness Labs Roman Empire, in which he argues that the Roman Empire collapsed due to the gradual loss of civic virtue among its citizens—who became spoiled, lazy, and more prone to hiring foreign mercenaries to manage the defence of state. Gibbon warned Europe’s great powers against falling prey to the same fate. -
Why Do Humans Reason? Arguments for an Argumentative Theory
University of Pennsylvania ScholarlyCommons Goldstone Research Unit Philosophy, Politics and Economics 4-2011 Why Do Humans Reason? Arguments for an Argumentative Theory Hugo Mercier University of Pennsylvania, [email protected] Dan Sperber Follow this and additional works at: https://repository.upenn.edu/goldstone Part of the Epistemology Commons, and the Psychology Commons Recommended Citation Mercier, H., & Sperber, D. (2011). Why Do Humans Reason? Arguments for an Argumentative Theory. Behavioral and Brain Sciences, 34 (2), 57-74. http://dx.doi.org/10.1017/S0140525X10000968 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/goldstone/15 For more information, please contact [email protected]. Why Do Humans Reason? Arguments for an Argumentative Theory Abstract Reasoning is generally seen as a means to improve knowledge and make better decisions. However, much evidence shows that reasoning often leads to epistemic distortions and poor decisions. This suggests that the function of reasoning should be rethought. Our hypothesis is that the function of reasoning is argumentative. It is to devise and evaluate arguments intended to persuade. Reasoning so conceived is adaptive given the exceptional dependence of humans on communication and their vulnerability to misinformation. A wide range of evidence in the psychology of reasoning and decision making can be reinterpreted and better explained in the light of this hypothesis. Poor performance in standard reasoning tasks is explained by the lack of argumentative context. When the same problems are placed in a proper argumentative setting, people turn out to be skilled arguers. Skilled arguers, however, are not after the truth but after arguments supporting their views. -
On the Relative Independence of Thinking Biases and Cognitive Ability
PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES On the Relative Independence of Thinking Biases and Cognitive Ability Keith E. Stanovich Richard F. West University of Toronto James Madison University In 7 different studies, the authors observed that a large number of thinking biases are uncorrelated with cognitive ability. These thinking biases include some of the most classic and well-studied biases in the heuristics and biases literature, including the conjunction effect, framing effects, anchoring effects, outcome bias, base-rate neglect, “less is more” effects, affect biases, omission bias, myside bias, sunk-cost effect, and certainty effects that violate the axioms of expected utility theory. In a further experiment, the authors nonetheless showed that cognitive ability does correlate with the tendency to avoid some rational thinking biases, specifically the tendency to display denominator neglect, probability matching rather than maximizing, belief bias, and matching bias on the 4-card selection task. The authors present a framework for predicting when cognitive ability will and will not correlate with a rational thinking tendency. Keywords: thinking biases, heuristics and biases, intelligence, cognitive ability In psychology and among the lay public alike, assessments of 2002; Stanovich, 1999, 2004), and individual differences in their intelligence and tests of cognitive ability are taken to be the sine operation remain unassessed on IQ tests. qua non of good thinking. Critics of these instruments often point However, there may be reasons for expecting a relationship out that IQ tests fail to assess many domains of psychological between cognitive ability and individual differences in the opera- functioning that are essential. For example, many largely noncog- tion of thinking biases even if the latter are not directly assessed on nitive domains such as socioemotional abilities, creativity, empa- intelligence tests. -
UC Irvine UC Irvine Previously Published Works
UC Irvine UC Irvine Previously Published Works Title Accuracy and artifact: Reexamining the intensity bias in affective forecasting. Permalink https://escholarship.org/uc/item/1cq347f8 Journal Journal of Personality and Social Psychology, 103(4) ISSN 1939-1315 0022-3514 Authors Levine, Linda J Lench, Heather C Kaplan, Robin L et al. Publication Date 2012 DOI 10.1037/a0029544 Data Availability The data associated with this publication are available at: https://webfiles.uci.edu/llevine/ Levine%20articles%20in%20pdf/Levine%2C%20Lench%2C%20Kaplan%2C%20Safer%2C %202012%2C%20JPSP.pdf Peer reviewed eScholarship.org Powered by the California Digital Library University of California Journal of Personality and Social Psychology Accuracy and Artifact: Reexamining the Intensity Bias in Affective Forecasting Linda J. Levine, Heather C. Lench, Robin L. Kaplan, and Martin A. Safer Online First Publication, August 13, 2012. doi: 10.1037/a0029544 CITATION Levine, L. J., Lench, H. C., Kaplan, R. L., & Safer, M. A. (2012, August 13). Accuracy and Artifact: Reexamining the Intensity Bias in Affective Forecasting. Journal of Personality and Social Psychology. Advance online publication. doi: 10.1037/a0029544 Journal of Personality and Social Psychology © 2012 American Psychological Association 2012, Vol. ●●, No. ●, 000–000 0022-3514/12/$12.00 DOI: 10.1037/a0029544 Accuracy and Artifact: Reexamining the Intensity Bias in Affective Forecasting Linda J. Levine Heather C. Lench University of California, Irvine Texas A&M University Robin L. Kaplan Martin A. Safer University of California, Irvine The Catholic University of America Research on affective forecasting shows that people have a robust tendency to overestimate the intensity of future emotion. -
Your Brain Is Broken
Your Brain Is Broken … and you suck at making decisions Brains: perfect thinking machines? Negativity BiasHyperbolic Discounting Bandwagon Effect Confirmation Bias Choice-supportive bias Normalcy Bias Endowment Effect Barnum Effect HindsightPro Bias-innovation Bias Clustering Illusion Availability HeuristicSunk Cost Fallacy Framing Effect Neglect of Probability Omission Bias Anchoring Conservatism Bias Blind Spot Law of the InstrumentExpectation Bias InformationPlanning Bias Fallacy Cheerleader Effect Ostrich EffectBackfire Effect Contrast Effect Gambler’s Fallacy Rhyme as ReasonHostile Effect Attribution Bias Base Rate Fallacy Berkson’s Paradox Hot-hand fallacy Pareidolia Denomination Effect Illusory Correlation Distinction Bias Post-Purchase RationalizationCurse of Knowledge Functional Fixedness Loss Aversion Frequency Illusion Brains: perfect thinking machines? Confirmation Bias – the tendency to seek out information that conforms to our already held beliefs Sunk Cost Fallacy – the tendency to continue with an activity even if it has a very small chance of success because of invested resources Framing Effect – the tendency to react to a particular choice differently depending on how it is presented Availability Heuristic – the tendency to view information that is easily recalled as more important than alternatives Bias Blind Spot – the tendency to see these biases in others, but not in ourselves Fast vs. slow thinking We’re bad at understanding probability Probability – A quick mental exercise New breathalyzers Let’s vote The local police buy new breathalyzers for the A) 100% department. B) 95% C) Between 50 and 95% • If someone is intoxicated it will indicate it 100% of D) Between 5 and 50% the time (no false negatives). E) Less than 5% • If someone is not intoxicated it will indicate a positive (a false positive) 5% of the time.