Bles Mart, Haynes John-Dylan
Bernstein Center for Computational Neuroscience Berlin, Charite--Universitatsmedizin, Berlin, Germany.
Neurocase. 2008;14(1):82-92. doi: 10.1080/13554790801992784.
Many conventional techniques for revealing concealed information have focused on detecting whether a person is responding truthfully to specific questions, typically using some form of lie detector. However, lie detection has faced a number of criticisms and it is still unclear to what degree conventional lie detectors can be used to reveal concealed knowledge in applied real-world settings. Here, we review the key problems with conventional lie-detection technology and critically discuss the potential of novel techniques that aim to directly read concealed mental states out of patterns of brain activity.
许多用于揭示隐藏信息的传统技术都集中在检测一个人是否对特定问题做出真实回答上,通常使用某种形式的测谎仪。然而,测谎面临着诸多批评,而且在实际应用场景中,传统测谎仪能在多大程度上用于揭示隐藏信息仍不明确。在此,我们回顾传统测谎技术的关键问题,并批判性地讨论旨在直接从大脑活动模式中读取隐藏心理状态的新技术的潜力。