TY  - JOUR
PY  - 2014//
TI  - Predicting factors of discrimination between guilty and innocent: using a functional data analysis
JO  - Personality and individual differences
A1  - Kim, D. Y.
A1  - Suk, H. W.
A1  - Cho, S.
A1  - Hwang, H.
A1  - Lee, J. H.
SP  - S66
EP  - S66
VL  - 60
IS  - Suppl
N2  - This study aimed to investigate predicting factors for detecting guilty individuals who committed a mock crime using a functional data analysis, to reduce an individual variation of psychophysiological data and to find weighted integration of function. Fifty-four participants (30 male, 24 female) chose either guilty condition (stealing a wallet) or innocent condition (non-crime). Skin conductance level (SCL), temperature, and pulse were measured during conducting a concealed information test. A functional logistic regression indicated that SCL and pulse were predictive variables for detecting guilty. Specifically, participants were more likely to be guilty if they showed a higher degree in SCL responding to both crime-relevant and irrelevant questions and a higher increase of pulse after the crime-relevant questions. These results suggest that SCL and pulse may predict whether a suspect is guilty or innocent and that a functional data analysis could provide more accurate prediction by excluding individual variation.<p />
LA  - en
SN  - 0191-8869
UR  - http://dx.doi.org/10.1016/j.paid.2013.07.289
ID  - ref1
ER  -