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Engineering Psychology: Human Performance and Cognitive Heuristics in Decision Making - Pr, Assignments of Psychology

An overview of decision making in the context of engineering psychology, focusing on human performance and cognitive heuristics. Topics include decision making concepts such as inference, representativeness, and bayes theorem, as well as decision making strategies and limitations. Students are encouraged to read 'double vision' by casey (1993) and critique the diagnosis process using these concepts.

Typology: Assignments

Pre 2010

Uploaded on 08/19/2009

koofers-user-has
koofers-user-has 🇺🇸

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Download Engineering Psychology: Human Performance and Cognitive Heuristics in Decision Making - Pr and more Assignments Psychology in PDF only on Docsity! 1 1 Engineering Psychology & Human Performance Review: – Human Memory – Training Outline of Lecture 17 – Decision Making 2 Assignment 3 Read “Double Vision” from Casey’s (1993) Set Phasers on Stun (download if necessary). Demonstrate understanding of decision making concepts in a critique of the diagnosis process – Concepts: inference (hypothesis testing), representativeness heuristic, availability heuristic, bayes theorum, prior probabilities (base rates), anchoring and adjustment heuristic, confirmation bias, absence of cues, as -if heuristic, effect of information saliency/simplicity/expensiveness, elimination by aspect heuristic 3 Decision Making Overview of Decision Making Task – operator samples incomplete information from the environment (cues are filtered passively and actively) – taken together the cues provide incomplete information about the true state of the world – operator must use inference (hypothesis testing) to determine true state of the world 4 Decision Making Overview of Decision Making Task (cont.) – Often, the operator is overwhelmed with information for making a decision memory and attentional limits are reached information triage – These limitations lead the operator to non-optimal decision making strategies heuristics: rules of thumb, cognitive shortcuts that work most of the time, but not all of the time 5 Decision Making Cognitive Heuristics – What are they? Easy or natural ways of thinking that are often useful & powerful Oversimplifications that can lead to systematic biases or misperceptions often used by experts in technical domains very difficult to overcome 6 Cognitive Heuristics – Which of the following events is most likely? That a man is under 55 and has a heart attack That a man has a heart attack That a man smokes and has a heart attack that a man is over 55 and has a heart attack 2 7 Cognitive Heuristics – Representativeness Heuristic tendency to judge an event as likely if it “represents” the typical features of its category substitution of similarity for probability Conjunction Fallacy: probability of conjunction of events cannot be greater than the probability of any single event Base Rate Fallacy: e.g., crosswalk study, medical diagnosis Misconceptions of chance – perceiving nonrandomness from randomness – Gambler’s Fallacy: belief that prior outcomes can influence the outcome of an independent probabilistic event 8 Cognitive Heuristics How many English words contain this pattern? _ n _ i n g Availability Heuristic – tendency to form judgment on the basis of what is easily brought to mind – if memory retrieval is unbiased then the heuristic works – memory retrieval is never unbiased -- its based on retrieval cues! 9 Cognitive Heuristics Availability Heuristic (cont.) – “solo” or token members of a set and availablility Von Restorff Effect: distinctive members of a set are more likely to be remembered Taylor, Fiske, Etcoff, & Ruderman (1978) – Uniqueness of race and perception of activeness, influence, and valence in interpersonal relations – unique members of a group are seen as more active and influential than others and their contributions are better remembered – Implications for perception of frequency of accidents and judgments of risk 10 Forming Inferences Representativeness & Availability and human inferential abilities – These heuristics affect the manner in which hypotheses and inferences are formed – Hypotheses are chosen based on Bottom-up processing – current data suggest or deny a hypothesis – representativeness heuristic affects this process Top-down processing – previous experience (knowledge of prior probabilities) helps determine relevant hypotheses – affected by both representativeness & availability 11 – Model of optimal inference: Bayes’ Theorum Given 2 competing hypotheses H1 and H2, what is the probability of either hypothesis being correct given the data (D); i.e., P(H1/D) and P(H2/D) Forming Inferences odds prior likelihood odds ratio Human (non-optimal) inference – Representativeness affects perception of likelihood ratio – Representativeness and availability affect perception of prior odds )/( )/( )( )( )/( )/( 2 1 2 1 2 1 HDP HDP HP HP DHP DHP ×= 12 Evaluating Inferences Which sequence produces the larger #? 8 x 7 x 6 x 5 x 4 x 3 x 2 x 1 1 x 2 x 3 x 4 x 5 x 6 x 7 x 8 Anchoring and Adjustment Heuristic 8 x 7 x 6 x 5 x 4 x 3 x 2 x 1 (median est.= 2250) 1 x 2 x 3 x 4 x 5 x 6 x 7 x 8 (median est.= 512) (both are 40320) – We tend to emphasize the first information we receive when making decisions -- it anchors us – adjustments are made upon receiving additional information, but not large enough to compensate
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