Statistical discrimination methods for the polygraph test

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  • MATSUDA Izumi
    First Information Section, National Research Institute of Police Science
  • HIROTA Akihisa
    First Information Section, National Research Institute of Police Science
  • OGAWA Tokihiro
    First Information Section, National Research Institute of Police Science
  • TAKASAWA Noriyoshi
    Department of Psychology and Humanities, Faculty of Sociology, Edogawa University
  • SHIGEMASU Kazuo
    Department of Psychology, Teikyo University

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Other Title
  • ポリグラフ検査　　ポリグラフ検査における統計的判定法
  • ポリグラフ検査における統計的判定法
  • ポリグラフ ケンサ ニ オケル トウケイテキ ハンテイホウ

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Description

A polygraph examiner is required to make accurate judgments as to whether examinee's autonomic responses to a critical item (the item that a perpetrator should know) differ from those to non-critical items. Several statistical methods have been proposed to support this decision making. These methods are classified into the database-based approach and the within-individual approach. Recently, these approaches have been improved for dealing with individual differences in autonomic responses. The latent class discrimination method has been developed as a new database-based approach and the hidden Markov discrimination method has been formulated as a new within-individual approach. These new methods were applied to experimental polygraph data obtained from 34 participants; higher discrimination performances were seen with the new methods than with the conventional methods. In future studies, it is expected that the database-based and within-individual approaches will be merged.

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