Pausing and the ‘Othello Error’

Author:

Jat Stephanie C.,McDougall Kirsty,Paver Alice

Abstract

The idea of detecting deception from speech is very attractive from a law enforcement perspective, yet research considering the possibility has yielded conflicting results, due to the practical difficulties in investigating the topic. Scientific research is yet to provide forensic linguistics with a reliable means of discerning lies from truths. The present study explores the relationship between truthfulness and pausing behaviour. Various aspects of the acoustics of pausing behaviour were investigated for Standard Southern British English in 30 mock police interviews from the DyViS database (Nolan et al. 2009). A novel distinction was made between prescribed and unprescribed lies, to delineate a potential source of differences in the unscripted content of speakers’ untruthful responses. Among pause duration measures, statistically significant differences were found across all three response types (truth, prescribed lie, unprescribed lie) for response latency, between truths and lies for initial filled pauses, and between unprescribed lies and the other response types for silent pauses. For pause frequency measures, only internal filled pauses showed a statistically significant difference: truths differed from both types of lies, but prescribed lies did not differ from unprescribed lies. Theories of cognitive effort and attempted control are drawn on in accounting for these findings.

Publisher

Equinox Publishing

Subject

Law,Linguistics and Language

Reference55 articles.

1. Adams-Quackenbush, N. (2015) The Effects of Cognitive Load and Lying Type on Deception Cues. Thesis for Master of Science in Applied Science (Psychology and Law). Saint Mary’s University, Halifax, Nova Scotia.

2. American Psychological Association. (2004) The truth about lie detectors (aka polygraph tests). Retrieved 10 August 2020, from https://www.apa.org/research/action/polygraph

3. Anolli, L., Balconi, M. and Ciceri, R. (2002) Deceptive miscommunication theory (DeMiT): a new model for the analysis of deceptive communication. In L. Anolli, R. Ciceri and G. Riva (eds) Studies in New Technologies and Practices in Communication. Say Not to Say: New Perspectives on Miscommunication 73–100. Amsterdam: IOS Press.

4. Arciuli, J., Mallard, D. and Villar, G. (2010) ‘Um, I can tell you’re lying’: linguistic markers of deception versus truth-telling in speech. Applied Psycholinguistics 31: 397–411. https://doi.org/10.1017/S0142716410000044.

5. Bates, D., Mächler, M., Bolker, B. and Walker, S. (2015) Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67(1): 1–48. https://doi.org/10.18637/jss.v067.i01.

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