Interviewing witnesses Flashcards
LOFTUS AND LOFTUS 1987
(Outline one piece of research into factors which influence the accurate identification of a suspect)
Background
There are many factors that influence the accurate identification of a suspect such as memory ability, how long ago you saw face and if the face was meaningful to them. ‘Weapon focus’ is another factor, where witnesses to a crime focus their attention on a weapon, reducing their ability to remember other details of the crime.
LOFTUS AND LOFTUS 1987
(Outline one piece of research into factors which influence the accurate identification of a suspect)
Aim
To see if subjects spend more time focusing on a weapon than an ambiguous object during an interaction and if this provides support for the ‘weapon focus’ effect.
LOFTUS AND LOFTUS 1987
(Outline one piece of research into factors which influence the accurate identification of a suspect)
Method
A laboratory experiment.
LOFTUS AND LOFTUS 1987
(Outline one piece of research into factors which influence the accurate identification of a suspect)
Participants
36 students aged 18-31 years old from the University of Washington.
Half of the participants were recruited through an advert offering $3.50 for completing the study.
The other half were offered psychology credits for completing the study.
Participants believed they were involved in an experiment about ‘proactive interference’.
LOFTUS AND LOFTUS 1987
(Outline one piece of research into factors which influence the accurate identification of a suspect)
Procedure
All of the participants were shown a series of slides/pictures of moving through a queue in a Taco restaurant. These slides were identical for both groups except for one slide-IV.
The control group slide showed Person B in the queue handing a cheque over to the cashier
The experimental group slide showed Person B pulling a gun on the cashier.
Each slide was shown for 1.5 seconds. These different depictions of Person B were the dependent variable as participants were later asked to identify this person. This was measured using 20 multiple choice questions which included seven questions related to the appearance of Person B. A line up test of 12 photos was used to identify person B followed by them giving a confidence rating of 1-6 (1=guess; 6= very sure).
The participants‘ eye fixations were also measured to see what part of the slides they focussed on the most.
LOFTUS AND LOFTUS 1987
(Outline one piece of research into factors which influence the accurate identification of a suspect)
Results
- Answers to the questionnaire showed that participants in the experimental group were only slightly less accurate than those in the control group.
- In the control group, 7 people (38.9%) were able to correctly identify Person B whereas only 2 in the experimental group (11.1%) were able to. Both groups however showed the same level of confidence in their answers.
- Eye fixation readings showed that as expected, the gun was focused on more than the cheque (3.72 seconds: 2.44 seconds).
LOFTUS AND LOFTUS 1987
(Outline one piece of research into factors which influence the accurate identification of a suspect)
Conclusion
Participants focused more on a weapon during an interaction, This led to them being less able to identify the perpetrator from a questionnaire and a line up. This shows that information from witnesses may not be reliable and suggests that any crime involving a weapon may alter the ability to identify or create a reconstruction of a suspect’s face.
BRUCE AND FROWD 2007
(Describe how researchers have used E-FIT to investigate face recognition)
Background
E-FIT are computer based composition systems that enable a composite to be created by a trained operator, based on witness descriptions. Features are chosen from a database and combined with Evo-fit images, creating a composite with internal and external features, making it holistic.
BRUCE AND FROWD 2007
(Describe how researchers have used E-FIT to investigate face recognition)
Aim
To investigate the recognisability of internal and external features of the face using composites.
BRUCE AND FROWD 2007
(Describe how researchers have used E-FIT to investigate face recognition)
Experiment 1 participants
30 staff and students from Stirling University, paid $2.
BRUCE AND FROWD 2007
(Describe how researchers have used E-FIT to investigate face recognition)
Experiment 1 procedure
Independent measures design with 3 conditions. All of the participants were given target photos of 10 celebrities and 40 composite images produced by E-fit, Profit, Sketch and EvoFit. The task was to match the target photos of celebrities with the correct composites.
Group One were given complete composites
Group Two were given composites of internal features
Group Three were given composites of external features
Participants were given an unlimited time to complete this task but once the composite was placed on the target photo, it could not be moved.
BRUCE AND FROWD 2007
(Describe how researchers have used E-FIT to investigate face recognition)
Experiment 1 results
31% of the composites that were complete and with external features were matched correctly. Only 19.5% of those with internal features were identified correctly.
BRUCE AND FROWD 2007
(Describe how researchers have used E-FIT to investigate face recognition)
Experiment 2 participants
48 undergraduates from Stirling University, volunteered to take part in this study.
BRUCE AND FROWD 2007
(Describe how researchers have used E-FIT to investigate face recognition)
Experiment 2 procedure
The task was to match a celebrity photo from an array with one of 40 composites shown to the participants. The photo arrays were split into easy (all very different) or hard (with distracter faces).
The participants were then split randomly into four groups:
Easy-internal features
Hard- internal features
Easy-external features
Hard-external features
The composites were presented one at a time along with the photo array of celebrities for participants to match.
BRUCE AND FROWD 2007
(Describe how researchers have used E-FIT to investigate face recognition)
Experiment 2 results
Composites of external features were identified much better than those of internal features (41.6%:28.4%)