TY - JOUR
T1 - The influence of vehicle model and colour on assessments of speed and culpability: the case for (and against) Computer Generated Exhibits (CGE)The effects of stereotypes on perceptions of speed and culpability in a road traffic accident
AU - Norris, Gareth
AU - Reeves, Heather
N1 - Norris, G., Reeves, H. (2012). The influence of vehicle model and colour on assessments of speed and culpability: the case for (and against) Computer Generated Exhibits (CGE)The effects of stereotypes on perceptions of speed and culpability in a road traffic accident. International Review of Law and Technology., 26 (1), 37-48.
PY - 2012/4/1
Y1 - 2012/4/1
N2 - Computer Generated Exhibits (CGE) are frequently deployed in legal contexts under the rubric of demonstrative evidence, i.e. to facilitate juror comprehension. However, a number of legal and academic commentators have suggested that the nature of the computerised moving image could exert undue prejudice on decision makers, e.g. judge and/or jury. The current study aimed to assess the manipulation of vehicle characteristics (make and colour) when a road traffic accident was presented in the format of a computer generated animation (CGA). In experiment 1, two groups of subjects watched two different makes of car, a Range Rover Sport and a Volkswagen Touran in a black-and-white format; no significant differences emerged over vehicle model with regards to vehicle speed or overall responsibility for the accident. Experiment 2 presented the same vehicles to four groups of participants in full colour, with the cars in contrasting red or beige; significant differences emerged with regards to culpability for vehicle make only. The findings could have implications for the format and style of CGE used in legal settings.
AB - Computer Generated Exhibits (CGE) are frequently deployed in legal contexts under the rubric of demonstrative evidence, i.e. to facilitate juror comprehension. However, a number of legal and academic commentators have suggested that the nature of the computerised moving image could exert undue prejudice on decision makers, e.g. judge and/or jury. The current study aimed to assess the manipulation of vehicle characteristics (make and colour) when a road traffic accident was presented in the format of a computer generated animation (CGA). In experiment 1, two groups of subjects watched two different makes of car, a Range Rover Sport and a Volkswagen Touran in a black-and-white format; no significant differences emerged over vehicle model with regards to vehicle speed or overall responsibility for the accident. Experiment 2 presented the same vehicles to four groups of participants in full colour, with the cars in contrasting red or beige; significant differences emerged with regards to culpability for vehicle make only. The findings could have implications for the format and style of CGE used in legal settings.
KW - forensic animations
KW - computer generated evidence
KW - demonstrative evidence
UR - http://hdl.handle.net/2160/8774
U2 - 10.1080/13600869.2012.646788
DO - 10.1080/13600869.2012.646788
M3 - Article
SN - 1360-0869
VL - 26
SP - 37
EP - 48
JO - International Review of Law, Computers and Technology
JF - International Review of Law, Computers and Technology
IS - 1
ER -