心理学报 ›› 2021, Vol. 53 ›› Issue (10): 1105-1119.doi: 10.3724/SP.J.1041.2021.01105
邓晓红1(), 李婷1, 薛超1, J.PeterRosenfeld2, 卢洋1, 王莹1, 展小飞1, 鄢阁俊1, 欧阳丹1
收稿日期:
2019-11-13
发布日期:
2021-08-23
出版日期:
2021-10-25
通讯作者:
邓晓红
E-mail:xiaohongdeng2001@163.com
基金资助:
DENG Xiaohong1(), LI Ting1, XUE Chao1, J. Peter ROSENFELD2, LU Yang1, WANG Ying1, ZHAN Xiaofei1, YAN Gejun1, OUYANG Dan1
Received:
2019-11-13
Online:
2021-08-23
Published:
2021-10-25
Contact:
DENG Xiaohong
E-mail:xiaohongdeng2001@163.com
摘要:
隐藏信息测试在司法实践中应用受限的主要原因是容易将知道犯罪相关信息的无罪知情者误判为有罪者, 因此, 需探索有效区分有罪者和无罪知情者、有罪者和无罪不知情者的测谎技术。复合反应范式(complex trial protocol, CTP)是一种能有效抵抗反测谎的隐藏信息测试, 但尚未成功用于鉴别有罪者和无罪知情者。本研究设计了可同时测量EPN和P300的基于自我参照编码的CTP, 每个试次的第一部分随机呈现探测刺激或无关刺激, 第二部分随机呈现目标刺激(自己姓名)或非目标刺激(他人姓名), 要求被试在两个部分看到刺激时均做“与我有关”和“与我无关”的反应。结果表明, 基于自我参照编码的CTP能有效区分有罪者和无罪知情者, EPN区分有罪者和无罪知情者的鉴别力优于P300, P300区分有罪者和无罪不知情者的鉴别力优于EPN。
中图分类号:
邓晓红, 李婷, 薛超, J.PeterRosenfeld, 卢洋, 王莹, 展小飞, 鄢阁俊, 欧阳丹. (2021). 基于自我参照编码的复合反应范式:有效鉴别有罪者和无罪知情者. 心理学报, 53(10), 1105-1119.
DENG Xiaohong, LI Ting, XUE Chao, J. Peter ROSENFELD, LU Yang, WANG Ying, ZHAN Xiaofei, YAN Gejun, OUYANG Dan. (2021). The Complex Trial Protocol based on self-referential encoding: Discriminating the guilty from the knowledgeable innocent. Acta Psychologica Sinica, 53(10), 1105-1119.
试次种类 | 重复次数 | 总数 |
---|---|---|
探测刺激-目标刺激 | 28 | 28 |
探测刺激-非目标刺激(4种) | 7 | 28 |
无关刺激(6种)-目标刺激 | 28 | 168 |
无关刺激(6种)-非目标刺激(4种) | 7 | 168 |
表1 不同种类试次的数量
试次种类 | 重复次数 | 总数 |
---|---|---|
探测刺激-目标刺激 | 28 | 28 |
探测刺激-非目标刺激(4种) | 7 | 28 |
无关刺激(6种)-目标刺激 | 28 | 168 |
无关刺激(6种)-非目标刺激(4种) | 7 | 168 |
个体诊断 指标 | 有罪组 vs. 无罪知情组 | 有罪组 vs. 无罪不知情组 | 无罪知情组 vs. 无罪不知情组 | ||||||
---|---|---|---|---|---|---|---|---|---|
AUC | 95% CI | p | AUC | 95% CI | p | AUC | 95% CI | p | |
BSIT-P300 | 0.605 | 0.406~0.805 | 0.309 | 0.922 | 0.832~1.000 | <0.001 | 0.859 | 0.718~1.000 | 0.001 |
BSIT-EPN | 0.721 | 0.538~0.903 | 0.033 | 0.770 | 0.604~0.936 | 0.009 | 0.516 | 0.309~0.722 | 0.880 |
表2 P300和EPN的AUC
个体诊断 指标 | 有罪组 vs. 无罪知情组 | 有罪组 vs. 无罪不知情组 | 无罪知情组 vs. 无罪不知情组 | ||||||
---|---|---|---|---|---|---|---|---|---|
AUC | 95% CI | p | AUC | 95% CI | p | AUC | 95% CI | p | |
BSIT-P300 | 0.605 | 0.406~0.805 | 0.309 | 0.922 | 0.832~1.000 | <0.001 | 0.859 | 0.718~1.000 | 0.001 |
BSIT-EPN | 0.721 | 0.538~0.903 | 0.033 | 0.770 | 0.604~0.936 | 0.009 | 0.516 | 0.309~0.722 | 0.880 |
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