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Interactive lineups can improve
eyewitness performance
Melissa F. Colloff, Harriet M.J. Smith, Travis Seale-Carlisle, Christian A. Meissner,
Babita Pande, Pratibha Kujur, Noorshama Parveen, Priyanka Chandel, Margaret Messiah
Singh, Sraddha Pradhan, Arti Parganiha & Heather D. Flowe
https://osf.io/2x5tg/
https://osf.io/b8tvw/
Pose reinstatement (Bruce, 1982; Flowe et al., in prep)
Interactive > passive (Lui et al., 2007)
Motion cues (Buratto et al., 2009)
Diagnostic feature detection (Wixted & Mickes, 2014)
Other-race faces are 1.4xmore
likely to misidentified than same-race faces
(Meissner & Brigham, 2001)
50% of identifications made by witnesses are other-race
Qualitative differences at encoding
(e.g., Behrman & Davey, 2001)
Improve recognition at test?
(Anzure et al., 2014)
Do interactive lineups enhance accuracy more than
static photo lineups?
Do interactive lineups attenuate the own race bias?
2 (Perpetrator race: Caucasian, South Asian) x 2 (Subject race: Caucasian, South Asian)
x 2 (Target: present, absent) x 2 (Lineup type: Interactive, Static)
2 (Perpetrator race: Caucasian, South Asian) x 2 (Subject race: Caucasian, South Asian)
x 2 (Target: present, absent) x 2 (Lineup type: Interactive, Static)
2 min filler
Static Lineup
…etc.
N = 220 (Caucasian n = 110, South Asian n = 110)
2 min filler
Static Lineup
…etc.
2 min filler
Interactive Lineup
2 min filler
Interactive Lineup
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
.00 .05 .10
CorrectIdentificationRate
False Identification Rate
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
.00 .05 .10
CorrectIdentificationRate
False Identification Rate
Static
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
.00 .05 .10
CorrectIdentificationRate
False Identification Rate
Static
Interactive
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
.00 .05 .10
CorrectIdentificationRate
False Identification Rate
Static
Interactive
.0
.1
.2
Static Interactive
pAUC
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
.00 .05 .10
CorrectIdentificationRate
False Identification Rate
Static
Interactive
.0
.1
.2
Static Interactive
pAUC
*
.0
.1
.2
Static Interactive
pAUC
*
Interactive lineups improve
ability to discriminate between
innocent and guilty suspects
(and theoretical discriminability)
For any possible false ID rate,
interactive lineups increased the
correct ID rate by
18%
.0
.1
.2
Static Interactive
pAUC
Own Race
Other Race
**
** Ability to discriminate between
innocent and guilty suspects is
better for own race identifications
Ability to discriminate between
innocent and guilty suspects is
better for own race identifications
Interactive lineups do not reduce
the own race bias, z = 0.01, p = .49
.0
.1
.2
Static Interactive
pAUC
Own Race
Other Race
**
**
Does the presentation format of interactive lineups
influence accuracy?
Do simultaneous-joint-movement interactive lineups
attenuate the own race bias?
2 (Perpetrator race: Caucasian, South Asian) x 2 (Subject race: Caucasian, South Asian)
x 2 (Target: present, absent) x 3 (Lineup type: Sequential, Sim-Independent, Sim-Joint)
…etc.
2 (Perpetrator race: Caucasian, South Asian) x 2 (Subject race: Caucasian, South Asian)
x 2 (Target: present, absent) x 3 (Lineup type: Sequential, Sim-Independent, Sim-Joint)
N = 8,507 (Caucasian n = 4,293, South Asian n = 4,214)
2 min filler
Interactive
Sequential Lineup 2 min filler
Interactive
Simultaneous
Independent Lineup
2 min filler
Interactive
Simultaneous
Joint Lineup
.0
.1
.2
.3
Sequential Simultaneous
Independent
Simultaneous
Joint
pAUC
Simultaneous interactive lineups
improve ability to discriminate
between innocent and guilty
suspects
(and theoretical discriminability)
For any possible false ID rate,
simultaneous joint lineups
increased the correct ID rate
by
.0
.1
.2
.3
Sequential Simultaneous
Independent
Simultaneous
Joint
pAUC
*
**
23%
.0
.1
.2
.3
Sequential Simultaneous
Independent
Simultaneous
Joint
pAUC
Own Race
Other Race
Ability to discriminate between
innocent and guilty suspects is
better for own race identifications
Simultaneous interactive lineups
do not reduce the own race bias,
all ps < .16
***
***
***
Interactive lineups can enhance discrimination
accuracy
Interactive lineups are compatible with current legal
frameworks
Interactive lineups boost accuracy of other-race and
own-race identifications
Thank you to our research assistants:
Danielle Hett, Katie Summers, Claire Thirkettle, Mahmoud Elsherif, Anastasia Tsioukanara, Faryad Yusuf
.5
.6
.7
.8
.9
1.0
0-60 70-80 90-100
ProportionCorrect
Confidence Level
Own- and Other-race
Static
Interactive
.5
.6
.7
.8
.9
1.0
0-60 70-80 90-100
ProportionCorrect
Confidence Level
Static
Own Race
Other Race
.5
.6
.7
.8
.9
1.0
0-60 70-80 90-100
ProportionCorrect
Confidence Level
Interactive
Own Race
Other Race
.5
.6
.7
.8
.9
1.0
0-60 70-80 90-100
ProportionCorrect
Confidence Level
Own- and Other-race
Sequential
Simultaneous Independent
Simultaneous Joint
.5
.6
.7
.8
.9
1.0
0-60 70-80 90-100
ProportionCorrect
Confidence Level
Sequential
Own Race
Other Race
.5
.6
.7
.8
.9
1.0
0-60 70-80 90-100
ProportionCorrect
Confidence Level
Simultaneous
Independent
Own Race
Other Race
.5
.6
.7
.8
.9
1.0
0-60 70-80 90-100
ProportionCorrect
Confidence Level
Simultaneous Joint
Own Race
Other Race
Trial 1 Trial 8
.0
.2
.4
.6
.8
1.0
0-60 70-80 90-100
ProportionCorrect
Confidence Level
Own Race
Other Race
.0
.2
.4
.6
.8
1.0
0-60 70-80 90-100
ProportionCorrect Confidence Level
Own Race
Other Race
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
.00 .05 .10
CorrectIdentificationRate
False Identification Rate
Static Own Race
Static Other Race
Interactive Own Race
Interactive Other Race
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
.00 .05 .10 .15
CorrectIdentificationRate
False Identification Rate
Sequential
Simultaneous Independent
Simultaneous Joint
.0
.1
.2
.3
.4
.5
.6
.7
.8
.9
.00 .05 .10 .15
CorrectIdentificationRate False Identification Rate
Sequential Own Race
Sequential Other Race
Simultaneous Independent Own Race
Simultaneous Independent Other Race
Simultaneous Joint Own Race
Qualitative differences at encoding Improve recognition at test?
.0
.1
.2
Static Interactive
Accuracy
Own Race
Other Race

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Interactive lineups can improve eyewitness performance

Editor's Notes

  1. ORB is considered to be Limited indirect evidence that pose-reinstatement at test can attenuate the ORB.
  2. Data for static lineup We also fit a signal detection lineup model to these data. That model accounts for all possible ID responses. Assumes detect most familiar person in the lineup, then ID than person if the
  3. Bonferroni correction. .05/3 = .017
  4. Bonferroni correction. .05/3 = .017
  5. Bonferroni correction. .05/9 = .0056