Title: At the Scene of the Crime: An Examination of the External Validity of Studies on Eyewitness Identifi
1At the Scene of the Crime An Examination of the
External Validity of Studies on Eyewitness
Identification AccuracyHeather D. Flowe and
Ebbe B. EbbesenDepartment of PsychologyUniversit
y of California, San Diego
2Acknowledgments
Professor Ebbe B. Ebbesen
- Michael Corley
- Paul Mertens
- Grant Schrader
- And a small army of 199s
3Mistaken Identification
- Mistaken eyewitness ID often cited as 1 reason
for erroneous convictions. - The advent of DNA technology has allowed for
conclusively determining whether a suspect was
falsely identified.
4Evidence for Widely Held Belief
- Innocent people on death row
- Governor Ryan, of IL, left office asking that all
cases for death row inmates be re-examined on
grounds that some might be innocent. - How many more cases of wrongful convictions have
to occur before we can all agree that this system
in Illinois is broken? Gov. Ryan - Innocence Project www.innocenceproject.org
- DNA and falsely convicted innocents
- 158 convicted people have been exonerated as of
today - Eyewitness ID is the primary cause
- Among 1st 70 cases, the most common cause of
false conviction was incorrect eyewitness ID (61
of cases) - Experts who testify, testify for defense over 94
of time (Kassin, et al., 2001)
5We Can and Should Use Science to Fix the Problem
Two Solutions
- Expert testimony in court
- Part of problem must be with jurors who do not
understand how human memory works - Improve reliability of procedures used to collect
eyewitness evidence - Design new procedures, based on science of human
memory, that will reduce error rate
6US Supreme Court Daubert
- Daubert was about
- Whether Dauberts birth defects were caused by
Bendectin - What types of (scientific) evidence (e.g.,
test-tube, animal studies, pharmacological
toxicology studies, human epidemiological/statisti
cal studies) could be admitted? - Decision Trial judge must apply a two part test
to determine whether to admit testimony by a
scientific expert - Will testimony be about valid scientific
knowledge? - But what constitutes scientific knowledge?
- Will testimony help the jury understand fact(s)
at issue? - Is the danger of unfair prejudice (too much
influence by expert), confusion (area is too
complex), and misleading of the jury (doesnt
present all sides) outweighed by the probative
value of the testimony? - Probative value Improves chances of correct
decision.
7Survey of Memory Experts
- Percent of experts agreeing reliable enough to
testify Kassin, et al., 2001
8Some common conclusions by experts about the
nature of eyewitness memory
- Stress High stress decreases accuracy of memory
- Confidence Accuracy of identifications unrelated
to witness confidence in them - Post-event Much of what witnesses remember is
the result of source misattribution and/or
post-event memory effects - Cross-race Other-race identifications worse than
same-race identifications - Weapon Presence of a weapon decreases witness
reliability - Retention interval Over time the accuracy of
witness memory drops off rapidly and then levels
off - Identification procedures have major problems
- Showups are unfair
- Lineups are filled with biases and suggestive
features - Witnesses use relative rather than absolute
decision strategies in simultaneous lineups
9APLS Recommendations
- Eyewitnesses are prone to making relative
judgments during lineup identifications.
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13Relative v. Absolute Decision Strategy (Wells,
Lindsay, others)
- Relative Decision Strategy
- Witness compares all members of lineup to each
other and then chooses the one most similar to
the culprit (most familiar?) - Absolute Decision Strategy
- Witness compares presented alternative to memory
of culprit and decides whether that alternative
is actually the culprit
14Policy Changes
- New Jersey first state to adopt sequential
procedures - California legislature currently considering
whether to switch to sequential lineups - Is the decision to switch premature?
15Common Sources of Evidence for Theoretical and
Applied Claims
- Face memory studies (lab only)
- Multiple faces per subject
- No crime/same event (view faces)
- ID by Yes/no recognition task
- Event Memory Studies (lab and field)
- Same single-face crime-event for all subjects
- ID by Lineup (mostly simultaneous)
identification - Target present/Target absent lineups
- Archival studies (actual crimes/criminals)
- Different single-face crime-event per witness
- ID by name, location, show-up, lineup, in court
16Can We Generalize?
- Face validity of the published literature seems
high - Illegal activity
- There is a witness
- A lineup test is administered
- The witness makes an identification
17Can We Generalize?
- But does the literature fall short in capturing
characteristics of - Witnesses
- Culprits
- Other aspects of the critical event, such as
- Duration of exposure to culprit
- Presence of bystanders
- Retention interval
- Lineup Test
- Criteria used to select distractors
- Criteria used to obtain innocent suspect
18Can We Generalize?
- The particulars of the people and contexts
studied in the lab are important because - Variables may interact
- The levels of factors as they occur naturally
might be correlated - Eg, Stress and Accuracy
- Standard lab finding More stress decrease in
accuracy - However, in actual crimes, some witnesses might
be more stressed than others, but this doesnt
necessarily mean they have worse memories as a
results. Stressed witnesses were probably more
involved in the event, and thus encoded it better
than less stressed witnesses.
19Meta-Analysis of ID StudiesOverview
- How well do laboratory studies capture real world
eyewitness conditions?
20MethodMeta-Analysis of Literature
- 185 experiments from 92 peer-reviewed published
papers involving over 28,000 participants were
coded. - Across studies, 48 involved a staged live event,
and 52 involved a pre-recorded event - Crime Type Theftgtnoncrime situationgt robberygt
assaultgtvandalismgtrapegtmurder
21Method Analysis of Prosecutors Files
- 721 cases (robbery, rape, and assault) randomly
selected from prosecutor files - 65 of the cases sampled were accepted for
prosecution - The testimony of 1319 eyewitnesses is represented
22ResultsMost Common Manipulations
23ResultsWitness Characteristics
- Only 12 of laboratory experiments reported age
of participants. - Range 2-94 years, mode 18-22
- Archival witnesses
- 17 under 18
- 81 between 18 and 65
- 2 over 65
24ResultsWitness Characteristics
- 13 of real world witnesses under the influence
- Of these, 45 gave a description of culprit to
the police - 22 were give opportunity to identify suspect
- Only 3 published papers examined the effects of
alcohol on eyewitness memory.
25ResultsCulprit Characteristics
- In the archives, the defendants were aged 29
years (range 19-79 years, median28 years) - In 85 of the laboratory simulations, the
culprit was a college student
26ResultsCulprit Characteristics
- Distinctive physical features noted on the arrest
report for 33 of the defendants - None of the papers in the literature reported
whether their culprits had such features.
27ResultsWitness Characteristics
28ResultsGeneral Viewing Conditions
- Very little information presented in the
articles. For instance - Only 10 provided information regarding the
distance between the participant and the culprit - No mention ever made of lighting (except for in
two articles in which the variable was
manipulated)
29ResultsWeapon Exposure
- In the real world cases, 59 of witnesses exposed
to violence. About 1/3 interacted with culprit
prior to violence. - Effect of timing of violence on memory for the
culprit not studied in any of the published
experiments. - Only 2 published papers examined the effect of
violence on accuracy.
30ResultsWeapon Exposure
31ResultsCritical Event Exposure Duration
32ResultsPerpetrator Exposure Duration
33ResultsDistribution of Lineup Test Type
- 58 of archival IDs were cross-race
34ResultsRetention Interval
35Conclusions
- Experimental designs contain too few factors
- Range of values of independent variables
unrepresentative - Interactions among estimator and system variables
not considered
36Aggregation Over What Sources of Variation Are
We Claiming to Generalize?
- Some sources of variation
- Crimes
- Criminals (faces, bodies, voices, etc.)
- Witnesses
- Observational conditions
- Test procedures
- Tasks
- Responses