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Lecture 12 – Psyco 350, B1 Winter, 2011. N. R. Brown. Outline. Dual Process Models Recognition & Remember/Know Process Dissociation Procedure Direct Tests Indirect Tests Implicit Memory & Real-World Estimation Semantic Memory. Remember/Know: An Example – Rajaram (1993).
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Lecture 12 – Psyco 350, B1Winter, 2011 N. R. Brown Psyco 350 Lec #12– Slide 1
Outline • Dual Process Models • Recognition & Remember/Know • Process Dissociation Procedure • Direct Tests • Indirect Tests • Implicit Memory & Real-World Estimation • Semantic Memory Psyco 350 Lec #12 – Slide 2
Remember/Know: An Example – Rajaram (1993) Exp 1. Levels of Processing • R: semantic > rhyme; K: deep = shallow Exp 2. Pictures vs words • R: picture > words; K: picture = word Psyco 350 Lec #12– Slide 3
Remember/Know (Radvansky, pp 307-308) General Findings: factors recollection, “remember” LOP, repetition, short (vs long) delay Problems: • poor terminology Psyco 350 Lec #12– Slide 4
Remember/Know Instructions: Rajaram (1993) Psyco 350 Lec #12– Slide 5
Remember/Know General Findings: factors recollection, “remember” LOP, repetition, short (vs long) delay Problems: • poor terminology • judgmental criteria • r/k as confidence judgment Converging Evidence: Process dissociation studies Psyco 350 Lec #12– Slide 6
Process Dissociation; Jacoby (1991) • Two Independent Process: recollective (R) automatic (A) • Strategy: set processes in opposition manipulate factor(s) affecting recollection 2 tests: recollection yes (Inclusion) recollection no (Exclusion) Psyco 350 Lec #12– Slide 7
Process Dissociation 2 tests: • recollection yes (Inclusion) • recollection no (Exclusion) Goal: Compute values for R & A • Data: Inclusion = R + A(1-R) Exclusion = A(1-R) • Parameter Estimates R = Inclusion – Exclusion A = Exclusion / (1-R) Psyco 350 Lec #12– Slide 8
Process Dissociation Evidence for the role of Dual-Processes in two classes of memory test • A Direct Test (recognition) • An Indirect Task (fragment completion) Psyco 350 Lec #12– Slide 9
Process Dissociation: Direct Test • Read a list of words – List 1 • Hear a list of words – List 2 • Two recognition tests: • Both tests include List 1, List 2 and novel words. • Inclusion test: Respond “old” if word was on either list. • Exclusion test: Respond “old” only if word was on List 2. Psyco 350 Lec #12– Slide 10
Inclusion test • Inclusion test: Respond “old” if word was on either list. • Intentional (recollective) process will have a certain probability of concluding “old” for List 1 words – R • Automatic process will also have a certain probability of concluding “old” for List 1 words – A • If either process concludes “old”, the subject will respond “old” P(old) = R + A (1-R) Psyco 350 Lec #12– Slide 11
Inclusion Condition Recollected “OLDR” R% List1Word High Familiarity “OLDA” A% NOT Recollected 1-R% Low Familiarity 1-A% “New” P(OLD) = P(OLDR) + P(OLDA) Psyco 350 Lec #12– Slide 12
Exclusion test • Exclusion test: Respond “old” only if word was on List 2. • Subject will only respond “old” to List 1 words if two things happen: • The automatic process responds “old” due to a feeling of familiarity – A • The intentional process fails to recognise the word (if it had, it would recall it was from List 1) – (1-R) P(old ) = A(1-R) Psyco 350 Lec #12– Slide 13
Exclusion Condition Recollected “NEW” R% List1Word High Familiarity “OLDA” NOT Recollected A% 1-R% Low Familiarity 1-A% “New” P(OLD) = P(OLDA) Psyco 350 Lec #12– Slide 14
Dissociating the processes Data: • Inclusion: P(old) = R + (1- R) • Exclusion: P(old) = A(1-R) Psyco 350 Lec #12– Slide 15
Inclusion Condition Recollected “OLDR” R% List1Word High Familiarity “OLDA” A% NOT Recollected 1-R% 1-A% Low Familiarity “New” P(OLD) = P(OLDR) + P(OLDA) Psyco 350 Lec #12– Slide 16
Exclusion Condition Recollected “NEW” R% List1Word High Familiarity “OLDA” A% NOT Recollected 1-R% 1-A% Low Familiarity “New” P(OLD) = P(OLDA) Psyco 350 Lec #12– Slide 17
Dissociating the processes Data: • Inclusion: P(old) = R + (1- R) • Exclusion: P(old) = A(1-R) Parameter Estimates • Inclusion – Exclusion = R • A = Exclusion / (1-R) Psyco 350 Lec #12– Slide 18
Jacoby (1991) Materials: • List 1: READ words • List 2: HEAR words Tests: • Inclusion • List 1 “OLD” • List 2 “OLD” • Exclusion • List 1 “NEW” • List 2 “OLD” Psyco 350 Lec #12– Slide 19
Jacoby (1991; Exp 3) Two recognition tests (% “OLD” for READ words): • Inclusion test P(old) = 0.48 • Exclusion test P(old) = 0.37* • R = Inclusion – Exclusion = 0.11 • A = Exclusion / (1-R) = 0.37 / 0.89 = 0.42 *in exclusion condition, “OLD” are errors Psyco 350 Lec #12– Slide 20
Jacoby (1991; Exps 2 & 3) Implication: When recollection is knocked out, P(OLD) in exclusion condition should equal A Exclusion test w/ digit monitoring task (monitor for 3 odd digits in a row). Expectation: Recollection eliminated by divided attention (digit task) – R = 0 Prediction: Exclusion = A(1-R) = 0.42 (1-0) = 0.42 Results: Exclusion w/ divided attention: Prob(Old) = 0.43 Psyco 350 Lec #12– Slide 21
Process Dissociation: Indirect Test Jacoby, Toth, & Yolelinas, (1993, Exp 1b) Study: read words • full attention • divided attention ( recollection) Task: stem completion: • inclusion: complete with list word or guess • exclusion: complete with new words only @ Test: green stem inclusion red stemexclusion Psyco 350 Lec #12– Slide 22
Jacoby et al. (1993): Results Divided attention: • Inclusion task: P(old) • Exclusion task: P(old) Psyco 350 Lec #12– Slide 23
Jacoby et al. (1993): Results Results: • Inclusion: div (46%) < full (61%) • Exclusion: div (46%) > full (36%) Interpretation: • div attention knocked out recollection • recollection accuracy in both conditions Psyco 350 Lec #12– Slide 24
Jacoby et al. (1993): Results Computing A & R Full R = I – E A = E/(1-R) 25 = 61 – 36 47 = 36/75 Divided R = I – E A = E/(1-R) 0 = 46 – 46 46 = 46/(1-0) Psyco 350 Lec #12– Slide 25
Process Dissociation Procedure: Conclusion • There are no process pure tasks. • Both recollective/explicit & automatic/implicit processes can influence performance on both direct and indirect tests of memory Psyco 350 Lec #12– Slide 26
Implicit Memory & Judgment – Mere Exposure (Radvansky, p. 108-109) Zajonc (1969) Study: • view a set of Chinese characters • subliminal exposure (4 msec/charter) Test: • recognition (2IFC – exposed vs new) -- OR -- • preference judgment (2IFC – exposed vs new) Psyco 350 Lec #12 – Slide 27
Zajonc (1969): Results Recognition at chance. Preference Judgment: 65% favored exposed character. Psyco 350 Lec #12– Slide 28
Zajonc (1969): Explanation • (Even subliminal) exposure facilities subsequent processing fluency, i.e., speed & easy of processing • Evidence for fluency: Repetition priming effects on tasks like lexical decision & perceptual identification. • People are sensitive to between-item differences in fluency, though not necessarily aware of their origins. • OTBE*, people tend to attribute POSITIVE things, fluently processed stimuli. *OTBE = Other Things Being Equal Psyco 350 Lec #12– Slide 29
Fluency Effects Memory & perceptual judgments: recognition recency frequency loudness Non-mnemonic Judgments: liking/preferences truth fame r-w world estimates Question: When, why, and to what extent does fluency (implicit memory) affect knowledge-based judgment? Psyco 350 Lec #12– Slide 30
Estimate the current populations of the following countries. Actual Pop Estimate 1992 2006 .Austria 37.0 mil 7.6 mil 8.2 mil Bangladesh 15.0 mil 114.7 mil 147.2 mil Nigeria 16.5 mil 115.6 mil 131.9 mil Norway 24.5 mil 4.2 mil 4.6 mil Psyco 350 Lec #12– Slide 31
“Availability Bias” & Populations Estimation 1. People tend to UNDERestimate populations of large, obscure countries. Psyco 350 Lec #12– Slide 32
“Availability Bias” & Populations Estimation 2. People tend to OVERestimate populations of small, well-known countries. Psyco 350 Lec #12 – Slide 33
A Possible Explanation for Availability Bias Domain-specific knowledge & fluency-based intuitions can influence real-world estimation. For populations estimation: • People use fluency/familiarity/availability to gauge relative population size. • Assumption: better known countries have larger populations then less-well known countries. Psyco 350 Lec #12 – Slide 34
Availability Terminology: • Tversky & Kahneman (1973) identified the “Availability Heuristic.” • when ease-of-retrieval used to estimate frequency or probability of events. Generalization: • ease-of-retrieval fluency, familiarity • “availability” used in situations in which fluency is found to affect judgment and decision making. Psyco 350 Lec #12 – Slide 35
Availability The Logic of the Availability (fluency, familiarity) Assume: propx correlates w/ memory Goal: propx for itemi? Mechanism: • assesses availability of info for itemi. • use assessment as index of propx for itemi . Psyco 350 Lec #12– Slide 36
Implicit Memory & Real-Estimation Brown & Siegler (1992) Background: availability might be a good cue for estimating population. But is it used? Reason: population & media exposure highly correlated • R(New York Times index/ True Pop) = .59 Prediction: • estimated population should correlate strongly w/ rated knowledge (a proxy for availability) Psyco 350 Lec #12 – Slide 37
Brown & Siegler (1992): Method Materials: 100 countries Participants: 24 CMU undergrads Tasks: • Rate knowledge • Estimate population Psyco 350 Lec #12 – Slide 38
Brown & Siegler (1992): Results Important results: • As predicted, R(est w/ know) quite high (.58) • [R(est w/know) = .58] >> [R(est/true) = .41] Interpretation: • pop-estimates based in availability-base intuitions Psyco 350 Lec #12– Slide 39
Availability & Population Estimation Interpretation: • pop-estimates based in availability-base intuitions An Alterative Interpretation: • People hold preexisting beliefs about the size of well-known countries. • These beliefs are biased by media coverage. • People infer that unknown countries are small. (Recognition Heuristic – Gigerenzer & Goldstein, 1996) Psyco 350 Lec #12 – Slide 40
Availability & Population Estimation • People can and do justify their estimates with reference to task relevant knowledge. • Size categories are often mentioned. • Comparisons w/ other countries also occur Key question: • Are size categories retrieved or inferred? Psyco 350 Lec #12 – Slide 41
Brown, Cui, & Gordon (2002) Aim: Determine whether population estimation is sensitive to priming, as Availability account predicts. Method: • Phase 1 – rate knowledge • 52 countries (primed set) • Phase 2 – estimate populations • 52 primed countries & 52 unprimed countries* *primed & unprimed sets matched for estimated pop, rated kn, actual pop, actual area ®ion Psyco 350 Lec #12 – Slide 42
Brown et al. (2002): Results Availability Prediction: Primed > Unprimed Results: • Primed: 23.3 million • Unprimed: 21.2 million • 2.1 million* • % 10% Interpretation: knowledge ratings availability/fluency in primed set Availability/fluency influenced estimation process Psyco 350 Lec #12 – Slide 43
Another Example: Fatality Estimates Task: How many Canadians died of CauseX last year? Results: • reasonable correlation between estimated & true fatality rate. • Availability Bias: holding true frequency constant, more vivid causes elicit estimates Psyco 350 Lec #12 – Slide 44
Another Example: Fatality Estimates Task: How many Canadians dies of CauseX last year? Results: • reasonable correlation between estimated & true fatality rate. • Availability Bias: holding true frequency constant, more vivid causes elicit estimates Psyco 350 Lec #12 – Slide 45
Importance of Availability Importance of availability differs across tasks. ___________________________________________________________________________________________ Determinants: • actual/perceived correlation between propx and memory • quantity & credibility of competing information __________________________________________________________________________________________ Psyco 350 Lec #12 – Slide 46
Importance of Availability Judgment/estimation tasks that are (sometimes) display an availability bias: • recency (dates, recognition), truth, fatality rates, frequency, probability, corporate sales, wealth, population Judgment/estimation tasks that do not display an availability bias: • age, distance, area, latitude, longitude Psyco 350 Lec #12 – Slide 47