Brain-Based Lie Detection and the Mereological Fallacy: Reasons for Optimism

Author(s):  
John Danaher
2012 ◽  
Vol 11 (4) ◽  
pp. 169-175 ◽  
Author(s):  
Katherine A. Sliter ◽  
Neil D. Christiansen

The present study evaluated the impact of reading self-coaching book excerpts on success at faking a personality test. Participants (N = 207) completed an initial honest personality assessment and a subsequent assessment with faking instructions under one of the following self-coaching conditions: no coaching, chapters from a commercial book on how to fake preemployment personality scales, and personality coaching plus a chapter on avoiding lie-detection scales. Results showed that those receiving coaching materials had greater success in raising their personality scores, primarily on the traits that had been targeted in the chapters. In addition, those who read the chapter on avoiding lie-detection scales scored significantly lower on a popular impression management scale while simultaneously increasing their personality scores. Implications for the use of personality tests in personnel selection are discussed.


1984 ◽  
Vol 39 (1) ◽  
pp. 80-80 ◽  
Author(s):  
Julian J. Szucko ◽  
Benjamin Kleinmuntz
Keyword(s):  

1991 ◽  
Vol 36 (3) ◽  
pp. 221-223 ◽  
Author(s):  
William G. Iacono
Keyword(s):  

2013 ◽  
Author(s):  
Sarah Lynn Jordan ◽  
D. Brian Wallace ◽  
Saul Kassin ◽  
Maria Hartwig

2013 ◽  
Vol 21 (9) ◽  
pp. 1629-1642
Author(s):  
Qian CUI ◽  
Jun JIANG ◽  
Wenjing YANG ◽  
Qinglin ZHANG

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 560
Author(s):  
Andrea Bonci ◽  
Simone Fiori ◽  
Hiroshi Higashi ◽  
Toshihisa Tanaka ◽  
Federica Verdini

The prospect and potentiality of interfacing minds with machines has long captured human imagination. Recent advances in biomedical engineering, computer science, and neuroscience are making brain–computer interfaces a reality, paving the way to restoring and potentially augmenting human physical and mental capabilities. Applications of brain–computer interfaces are being explored in applications as diverse as security, lie detection, alertness monitoring, gaming, education, art, and human cognition augmentation. The present tutorial aims to survey the principal features and challenges of brain–computer interfaces (such as reliable acquisition of brain signals, filtering and processing of the acquired brainwaves, ethical and legal issues related to brain–computer interface (BCI), data privacy, and performance assessment) with special emphasis to biomedical engineering and automation engineering applications. The content of this paper is aimed at students, researchers, and practitioners to glimpse the multifaceted world of brain–computer interfacing.


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