@article{ref1,
title="Predicting factors of discrimination between guilty and innocent: using a functional data analysis",
journal="Personality and individual differences",
year="2014",
author="Kim, D. Y. and Suk, H. W. and Cho, S. and Hwang, H. and Lee, J. H.",
volume="60",
number="Suppl",
pages="S66-S66",
abstract="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 />",
language="en",
issn="0191-8869",
doi="10.1016/j.paid.2013.07.289",
url="http://dx.doi.org/10.1016/j.paid.2013.07.289"
}