Psychology 466: Judgment & Decision Making Psychology 466: Judgment & Decision Making Instructor: John Miyamoto 10/01/2015: Lecture 01-1 Note: This Powerpoint presentation may contain macros that I wrote to help me create the slides. The macros aren’t needed to view the slides. You can disable or delete the macros without any change to the presentation. Outline • General course information • Get to know each other • Psychology of judgment & decision making – What is it? • Background ideas from general cognitive psychology Psych 466, Miyamoto, Aut '15 General Information re This Course 2 General Information Instructor: John Miyamoto Email: jmiyamot@u.washington.edu Office: 215 Guthrie Phone: 206-368-9761 Office hours: Thursday 12:00 – 1:00 in the Suzallo study room across from the coffee shop (if you can't find me, send me a text or phone message); OR make an appointment (contact by email or phone) • UW computing provides JM with all student email addresses. Let JM know if you use a non-UW email address. Let JM know if you are not officially enrolled in this class. Psych 466, Miyamoto, Aut '15 Textbooks 3 Required Textbooks • Hastie, R., & Dawes, R. M. (2009). Rational choice in an uncertain world (2nd edition). ♦ Amazon prices: $68.40 in paperback. • Kahneman, D. (2011). Thinking, fast and slow. ♦ Amazon price: $6.74 as a paperback. • Hammond, J. S., Keeney, R. L., & Raiffa, H. (1998). Smart choices: A practical guide to making better decision. ♦ Amazon price: $21.68 as a paperback. • [Gigerenzer, G., & Brighton, H. (2009). Homo Heuristicus: Why biased minds make better inferences. Topics in Cognitive Science, 1, 107-143. pdf ] There are ebook versions of these books (Kindle, possible epub). Psych 466, Miyamoto, Aut '15 PDF’s On Psych 466 Website 4 PDF’s for Week 1 Required Reading • Hammond, J. S., Keeney, R. L., & Raiffa, H. (1998). Smart choices: A practical guide to making better decisions. Table of Contents, Preface & Chapter 1 • Hastie, R., & Dawes, R. M. (2009). Rational choice in an uncertain world (2nd ed.). Table of Contents; Chapter 1; Chapter 2; • Gigerenzer, G., & Brighton, H. (2009). Homo Heuristicus: Why biased minds make better inferences. Topics in Cognitive Science, 1, 107-143. • **NO PDF FOR KAHNEMAN** PDF’s can be downloaded from the Psych 466 website. Psych 466, Miyamoto, Aut '15 Reading Assignment for Week 1 5 Reading Assignment for Week 1 • Chapters 1 & 2 of Hastie & Dawes (HD). • Preface and Chapter 1 of Smart Choices. • Gigerenzer, G., & Brighton, H. (2009). Homo Heuristicus: Why biased minds make better inferences. Pages 107 – 110. A standard view of JDM Applied Decision Making Two Conflicting View of Heuristic Reasoning • Kahneman (2011). Thinking, Fast and Slow. Pages 19 – 49. ♦ Ch 1: The characters of the story; ♦ Ch 2: Attention and effort; ♦ Ch 3: The lazy controller Psych 466, Miyamoto, Aut '15 Psych 466 Website 6 Psych 466 Website • URL: https://faculty.washington.edu/jmiyamot/p466/p466-set.htm • Pdf’s of papers are posted here. • Powerpoint lecture slides are posted here. • Preview of the next lecture is posted here. • Other stuff is posted here. • All of this week’s readings are posted on the course website as pdf’s. Psych 466, Miyamoto, Aut '15 Assignments, Exams, Formula for the Course Grade 7 Assignments and Exams • One midterm exam and a final exam. All exams are take-home exams. Exam answers are submitted over the internet. • Three short assignments. % Grade Assignments 1, 2 & 3 Psych 466, Miyamoto, Aut '15 9 (each) Midterm 36 Final Exam 37 Course Website & Collect-It Website 8 Course Website & Collect-It Website • Course website http://faculty.washington.edu/jmiyamot/p466/p466-set.htm • Assignments and lecture notes will be posted. • Catalyst Collect It website for turning in assignments & exams https://catalyst.uw.edu/collectit/dropbox/jmiyamot/36460 Psych 466, Miyamoto, Aut '15 Get To Know Each Other 9 Get to Know Each Other Psych 466, Miyamoto, Aut '15 What is a Decision? 10 What is a decision? • Discuss • Give some examples. Get some examples from the class. Psych 466, Miyamoto, Aut '15 What is a Decision? – Some Examples 11 What is a decision? • Major reflective decisions: ♦ Whether or not to invest in a stock or business? ♦ Whether or not to buy a house? Which house to buy? Similar buying decisions for other major items, e.g., cars, computers, etc. ♦ Whether to start a relationship with someone? Whether to end a relationship with someone? ♦ Medical decisions – whether or not to have surgery for a problem? • Low level decisions ♦ Shopping in a supermarket ♦ Which way to go when driving a car to a particular location ♦ What to wear today • Neural decision making (by neural mechanisms in the brain) Psych 466, Miyamoto, Aut '15 What Factors Do or Should Affect a Decision? 12 • What factors that DO affect a decision? • What factors that SHOULD affect a decision? • Are there factors that affect decisions even though they should not? • Discuss Psych 466, Miyamoto, Aut '15 General Description of Factor That Should Affect a Decision 13 What factors that DO or SHOULD affect a decision? Three concrete decision examples: ♦ Whether or not to take a particular course. ♦ Whether or not to buy a new, better computer. ♦ Whether or not to end a relationship with someone. Suppose the relationship has a number of good features but also some bad features. • What you want. Also, what you want to avoid. How you feel about different ways the decision could turn out. • How strong are your preferences (and dislikes) for particular outcomes? • What factors or events will affect whether the outcome will be good, mediocre or bad, and to what degree? • How likely are the different possibilities? Psych 466, Miyamoto, Aut '15 Normative Decision Analysis – What Is It? 14 Normative Decision Analysis • Enumerate outcomes • Enumerate options • Construct a decision analysis for the decision • Evaluate the probabilities of different possible outcomes • Determine which option has the greatest "expected utility." Psych 466, Miyamoto, Aut '15 What Are Typical Characteristics of Human Decision Making? 15 What Are Typical Characteristics of Human Decision Making • Usually not analytic. • Difficulty integrating feelings and thoughts (affect and cognition). • Fast. Reasonably accurate. • Difficulties with complex information. • Cognitive factors, e.g., limited memory, limitations on speed of mental processing, limitations on available effort, .... This course will help you be a better decision maker, especially for careful, reflective decisions. Psych 466, Miyamoto, Aut '15 History of the Psychology of Decision Making 16 History of the Psychology of Decision Making • Victorian rationality, Freudian irrationality, behaviorist arationality. • Expected utility theory (Von Neumann & Morgenstern, 1944) Rational agent model of economic behavior • Heuristics and biases movement, 1970 – 1990 (approx.) • Reactions to heuristics and biases movement Evolutionary psychology, ecological psychology, naturalistic decision making, Bayesian models of psychological processes • Psychology of happiness • Separate development – neuroscience of decision making (current hot topic!) Psych 466, Miyamoto, Aut '15 The Cognitive Approach to Judgment & Decision Making 17 Thursday, October 01, 2015: The Lecture Ended Here • See <lec02-1.p466.a15.pptm>: The lecture for the following Monday. It has improved versions of the some of the following slides. Psych 466, Miyamoto, Aut '15 18 The Cognitive Approach to Judgment & Decision Making • Cognitive limitations – limitations on human cognitive capacity affect judgment and decision making • Heuristics and biases movement: 1970 – 1990 (approx.) • Reactions to heuristics and biases movement ♦ Evolutionary psychology ♦ Ecological psychology ♦ Naturalistic decision making ♦ Bayesian models of psychological processes ♦ Emotion in decision processes Psych 466, Miyamoto, Aut '15 The Standard Memory Model 19 The Standard Cognitive Model of Human Memory H&D Fig. 1.1 Sensory Input Buffers Working Memory Central Executive Phonological Buffer Goal Stack Visuospatial Buffer Long-Term Memory Psych 466, Miyamoto, Aut '15 Sensory Registers 20 H&D Fig. 1.1 Sensory Input Buffers Working Memory Central Executive Phonological Buffer Goal Stack Visuospatial Buffer Long-Term Memory • Sensory registers retain the sensory information for very brief periods of time. Psych 466, Miyamoto, Aut '15 Working Memory 21 H&D Fig. 1.1 Sensory Input Buffers Working Memory Central Executive Phonological Buffer Goal Stack Visuospatial Buffer Long-Term Memory • Working memory (WM) holds a limited amount of information for 10 – 20 seconds. Thoughts are actively manipulated in WM. Psych 466, Miyamoto, Aut '15 Long-Term Memory22 H&D Fig. 1.1 Sensory Input Buffers Working Memory Central Executive Phonological Buffer Goal Stack Visuospatial Buffer Long-Term Memory • Long-term memory (LTM) retains information over longer periods of time. LTM interacts with WM. Psych 466, Miyamoto, Aut '15 General Hypothesis of Cognitive Research 23 H&D Fig. 1.1 Sensory Input Buffers Working Memory Central Executive Phonological Buffer Goal Stack Visuospatial Buffer Long-Term Memory General Hypothesis of Cognitive Research ♦ Limitations in working memory impose limitations on human ability to engage in complex reasoning. ♦ Decision making requires complex reasoning. Psych 466, Miyamoto, Aut '15 Basic Message: Cognitive Limitations Produce Simplifications 24 Basic Message from Many Cognitive Studies • LIMITED WM CAPACITY: When information is complex, people are forced to simplify the information. Simplifications can lead to distortions. • Exception: Experience can teach one to integrate specific types of complex information but only in some cases. ♦ Example: Expert chess players can reason about complicated chess problems. ♦ Example: Experienced drivers can understand traffic situations that are actually very complex. • Next a complex representation of decisions under risk (decision trees). Psych 466, Miyamoto, Aut '15 Where We Are in the Lecture 25 Where We Are in the Lecture • Normative and prescriptive decision models require complex representations and processing • Cognitive limitations cause us to simplify decisions, and this can produce errors NEXT: How to Deal with Cognitive Complexity • Intuitive clinical judgment versus statistical Models • Brunswik’s Lens Model of Human Judgment Next Lecture • Linear models applied to making better choices • Applications to clinical judgment Psych 466, Miyamoto, Aut '15 Clinical vs Actuarial Jdmt 26 Intuitive Judgment versus Acturial Judgment • Intuitive judgment ♦ ♦ Combine complex information in your head Make decision based on gut feeling • Actuarial judgment (a.k.a. statistical model or linear model) ♦ Base decisions on a statistical decision rule. Psych 466, Miyamoto, Aut '15 Statistical Models Outperform Human Judges 27 Examples of Judgment Problems • We will only consider decisions to which intuitive judgment and actuarial judgment (statistical methods) both apply. -------------------------------------------------------------------------E.g., Clinicians attempt to identify patients with progressive brain dysfunction. ♦ ♦ ♦ Data = intellectual test results Experienced clinicians achieved 58% correct detection of new cases. Statistical model achieved 83% correct detection of new cases. • E.g., Bank loan officer must decide which loan applications are “good risks” and which are “bad risks.” • E.g., Professors must decide which applicants will do well in grad school and which will not do well. Psych 466, Miyamoto, Aut '15 Critique of Clinical Judgment – What Is It? 28 Critique of Clinical Judgment • Clinical insight – does it exist? • Clinical judgment – what is it good for? • Clinical judgment – what are its weaknesses? • Accusation: Belief in the efficacy of intuitive clinical judgment is a cognitive conceit. Psych 466, Miyamoto, Aut '15 General Finding: Stat Models Outperform Human Judges 29 General Finding: Stat Models Outperform Human Judges • Statistical models almost always outperform the human judges on clearly defined decision tasks. • Human cognitive processes are good at noticing particular pieces of information. ♦ Does my friend look happy? Sad? Stressed? Irritated? ♦ Is the patient nervous? Defensive? Exhibitionistic? • Human cognitive processes are not good at integrating multiple pieces of information. ♦ Can I predict how my friend will feel about a surprise party? ♦ Can the clinician predict how the patient will progress after 4 months of therapy? Psych 466, Miyamoto, Aut '15 Implications of this Lecture / END 30 Implications of this Lecture • We can improve human decisions by stressing what humans are good at: ... noticing what are important issues that are relevant to a decision; ... evaluating how good or bad is an outcome on a specific dimension; while avoiding what we are not good at: ... combining complex information in our heads. • Know thyself → Make better decisions • NEXT WEEK: Linear models of human judgment ...... and what they tell us about us! Psych 466, Miyamoto, Aut '15 END 31