1. Memory detection with concurrent behavioral, autonomic, and neuroimaging measures in a mock crime.
- Author
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Wang, Chongxiang, Yi, Xingyu, Li, Hongrui, Ke, Ni, Lei, Zhili, Fu, Genyue, and Lin, Xiaohong Allison
- Abstract
Concealed information test (CIT) has been utilized for long to perform single measurements. The combination of multiple measures outperforms single measures because of the diverse cognitive processes they reflect and the reduction in random errors facilitated by multiple measures. To further explore the performance of the CIT with multiple measurements, 57 participants were recruited and randomly assigned into guilty and innocent groups. Subsequently, simultaneously recorded reaction time (RT), skin conductance responses (SCRs), heart rate (HR), and neuroimaging data were collected from functional near‐infrared spectroscopy (fNIRS) to detect participants' concealed information in a standard CIT. The results demonstrated that all indicators including RT (area under the curve (AUC) = 0.87), SCRs (AUC = 0.79), HR (AUC = 0.78), and fNIRS (channel 8, AUC = 0.85) could differentiate guilty and innocent groups. Importantly, the use of multiple indicators achieved higher detection efficiency (AUC = 0.96) compared to the use of any single indicator. These results illustrate the effectiveness and feasibility of integrating multiple indicators for concealed information detection in CIT. The present study confirms the validity of the concealed information test (CIT) using multiple indicators in a mock crime scenario. It provides robust evidence that integrating multiple indicators in detecting concealed information (AUC = 0.96) could surpass any single traditional measures, including behavioral measures (reaction time, AUC = 0.87), autonomic measures (skin conductance response, AUC = 0.79; heart rate, AUC = 0.78), and neuroimaging measures (functional near‐infrared spectroscopy, channel 8, AUC = 0.85). Our research provides both interesting and substantial insights into the discrete theoretical foundations of various measurements in CIT and has a positive impact on practical applications. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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