Deception detection remains an important aspect of the forensic,security,and psychological domains.Even though traditional polygraphy relies on multiple physiological measures of deception,the effectiveness of decepti...Deception detection remains an important aspect of the forensic,security,and psychological domains.Even though traditional polygraphy relies on multiple physiological measures of deception,the effectiveness of deception detection based on chaos theory measures of pulse waves remains relatively unexplored.Chaos theory measures the inherent complexity of a signal and can potentially reveal pattems in deception detection that might otherwise remain hidden by traditional linear measures of deception detection.This study aimed to explore the effectiveness of fingertip plethysmogram chaos theory measures in deception detection in the context of simulated theft with a 2 x 2 factorial design involving stimulus similarity(high and low)and stimulus type(probe and irrelevant).Largest Lyapunov Exponent(LLE)measures were calculated from 560 experiments conducted on 14 participants.Analysis of variance revealed significant main effects of stimulus type(F(1,13)=9.26,p=.009)and the interaction of stimulus similarity and stimulus type(F(1,13)=6.93,p=.021).Furthermore,under low similarity conditions,LLE of the probe condition exceeded the irrelevant condition(t(13)=4.23,p<.001,dz=1.13).Generalized estimating equations revealed significant effects of LLE on deception detection at the individual trial level(β=0.575,p=.006).Permutation tests revealed significant effects of LLE on deception detection(p=.021).Overall,the results suggest the effectiveness of LLE in deception detection in low similarity conditions and support the effectiveness of chaos theory measures of deception detection with boundary conditions in mind.展开更多
文摘Deception detection remains an important aspect of the forensic,security,and psychological domains.Even though traditional polygraphy relies on multiple physiological measures of deception,the effectiveness of deception detection based on chaos theory measures of pulse waves remains relatively unexplored.Chaos theory measures the inherent complexity of a signal and can potentially reveal pattems in deception detection that might otherwise remain hidden by traditional linear measures of deception detection.This study aimed to explore the effectiveness of fingertip plethysmogram chaos theory measures in deception detection in the context of simulated theft with a 2 x 2 factorial design involving stimulus similarity(high and low)and stimulus type(probe and irrelevant).Largest Lyapunov Exponent(LLE)measures were calculated from 560 experiments conducted on 14 participants.Analysis of variance revealed significant main effects of stimulus type(F(1,13)=9.26,p=.009)and the interaction of stimulus similarity and stimulus type(F(1,13)=6.93,p=.021).Furthermore,under low similarity conditions,LLE of the probe condition exceeded the irrelevant condition(t(13)=4.23,p<.001,dz=1.13).Generalized estimating equations revealed significant effects of LLE on deception detection at the individual trial level(β=0.575,p=.006).Permutation tests revealed significant effects of LLE on deception detection(p=.021).Overall,the results suggest the effectiveness of LLE in deception detection in low similarity conditions and support the effectiveness of chaos theory measures of deception detection with boundary conditions in mind.
