• Title/Summary/Keyword: Deception detection

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The Difference in Pupil Size Responding to Cognitive Load and Emotional Arousal Questions between Guilty and Innocent Groups (유죄 및 무죄 집단 간 인지적 부하 및 정서적 각성 질문에 따른 동공크기의 변화의 차이)

  • Cho, Ara;Kim, Kiho;Lee, Jang-Han
    • Korean Journal of Forensic Psychology
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    • v.11 no.2
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    • pp.155-171
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    • 2020
  • The purpose of this study is to examine the effects of emotional arousal and cognitive load on pupil diameter during a lie detection interview. The guilty group (n = 30) committed a mock crime (i.e., stealing cash) and the innocent group (n = 30) performed a mission (i.e., sending a message) in the research assistant's office. After that, their pupil size was measured using a wearable eye-tracker during the interview. The interview questions were classified with the three cognitive load, three emotional arousal, and three neutral questions. The results indicate that the main effects of group and time were not significant, but the interaction between group and time was significant. It means that when answering cognitive load questions, the guilty group showed larger increase in pupil diameter than the innocent group. The present study suggests that inducing cognitive load is more effective than inducing emotional arousal during an interview when using pupil diameter as an index of deception, and it is expected to improve the accuracy of lie detection.

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Brain-wave Analysis using fMRI, TRS and EEG for Human Emotion Recognition (fMRI와 TRS와 EEG를 이용한 뇌파분석을 통한 사람의 감정인식)

  • Kim, Ho-Duck;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.6
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    • pp.832-837
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    • 2007
  • Many researchers are studying brain activity to using functional Magnetic Resonance Imaging (fMRI), Time Resolved Spectroscopy(TRS), Electroencephalography(EEG), and etc. They are used detection of seizures or epilepsy and deception detection in the main. In this paper, we focus on emotion recognition by recording brain waves. We specially use fMRI, TRS, and EEG for measuring brain activity Researchers are experimenting brain waves to get only a measuring apparatus or to use both fMRI and EEG. This paper is measured that we take images of fMRI and TRS about brain activity as human emotions and then we take data of EEG signals. Especially, we focus on EEG signals analysis. We analyze not only original features in brain waves but also transferred features to classify into five sections as frequency. And we eliminate low frequency from 0.2 to 4Hz for EEG artifacts elimination.