Title: | T-Pattern Analysis and Cognitive Load Manipulation to Detect Low-Stake Lies: An Exploratory Study |
Author: |
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Date: | 2018-03-02 |
Language: | English |
Scope: | 257 |
University/Institute: | Háskóli Íslands University of Iceland |
Department: | Rannsóknastofa um mannlegt atferli (HÍ) Human Behaviour Laboratory (UI) |
Series: | Frontiers in Psychology;9 |
ISSN: | 1664-1078 |
DOI: | 10.3389/fpsyg.2018.00257 |
Subject: | Deception detection; Cognitive load manipulation; Kinesics; Analysis of observational data; T-patterns; Atferlissálfræði; Atferli; Blekkingar; Aðferðafræði |
URI: | https://hdl.handle.net/20.500.11815/684 |
Citation:Diana, B., Zurloni, V., Elia, M., Cavalera, C., Realdon, O., Jonsson, G. K., & Anguera, M. T. (2018). T-Pattern Analysis and Cognitive Load Manipulation to Detect Low-Stake Lies: An Exploratory Study. Frontiers in Psychology, 9(257). doi:10.3389/fpsyg.2018.00257
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Abstract:Deception has evolved to become a fundamental aspect of human interaction. Despite
the prolonged efforts in many disciplines, there has been no definite finding of a
univocally “deceptive” signal. This work proposes an approach to deception detection
combining cognitive load manipulation and T-pattern methodology with the objective
of: (a) testing the efficacy of dual task-procedure in enhancing differences between
truth tellers and liars in a low-stakes situation; (b) exploring the efficacy of T-pattern
methodology in discriminating truthful reports from deceitful ones in a low-stakes
situation; (c) setting the experimental design and procedure for following research.
We manipulated cognitive load to enhance differences between truth tellers and
liars, because of the low-stakes lies involved in our experiment. We conducted an
experimental study with a convenience sample of 40 students. We carried out a
first analysis on the behaviors’ frequencies coded through the observation software,
using SPSS (22). The aim was to describe shape and characteristics of behavior’s
distributions and explore differences between groups. Datasets were then analyzed
with Theme 6.0 software which detects repeated patterns (T-patterns) of coded events
(non-verbal behaviors) that regularly or irregularly occur within a period of observation.
A descriptive analysis on T-pattern frequencies was carried out to explore differences
between groups. An in-depth analysis on more complex patterns was performed to get
qualitative information on the behavior structure expressed by the participants. Results
show that the dual-task procedure enhances differences observed between liars and
truth tellers with T-pattern methodology; moreover, T-pattern detection reveals a higher
variety and complexity of behavior in truth tellers than in liars. These findings support the
combination of cognitive load manipulation and T-pattern methodology for deception
detection in low-stakes situations, suggesting the testing of directional hypothesis on a
larger probabilistic sample of population
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Rights:This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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