[HTML][HTML] Deception in the eyes of deceiver: A computer vision and machine learning based automated deception detection

W Khan, K Crockett, J O'Shea, A Hussain… - Expert Systems with …, 2021 - Elsevier
There is growing interest in the use of automated psychological profiling systems,
specifically applying machine learning to the field of deception detection. Several …

LieNet: A deep convolution neural network framework for detecting deception

M Karnati, A Seal, A Yazidi… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Nowadays, automatic deception detection has received considerable attention in the
machine learning community owing to this research interest to its vast applications in the …

Beyond bias: response bias and interpersonal (in) sensitivity as a contributors to race disparities

EP Lloyd, K Hugenberg - European Review of Social Psychology, 2021 - Taylor & Francis
In the present work, we review a growing programme of research identifying deficits in race-
based interpersonal sensitivity, specifically emotion detection, as a route to creating pitfalls …

Generative AI are more truth-biased than humans: A replication and extension of core truth-default theory principles

DM Markowitz, JT Hancock - Journal of Language and …, 2024 - journals.sagepub.com
Humans often display a truth-bias—the perception that others are honest independent of
message veracity—but does this phenomenon extend to generative artificial intelligence …

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

P Bhatt, A Sethi, V Tasgaonkar, J Shroff, I Pendharkar… - Brain informatics, 2023 - Springer
Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the
different experiences or characteristics of consciousness/emotions, such as joy, grief, anger …

The tangled webs we weave: Examining the effects of CEO deception on analyst recommendations

SJ Hyde, E Bachura, J Bundy, RT Gretz… - Strategic …, 2024 - Wiley Online Library
Abstract Research Summary Organizations are punished by analysts and investors when
material deceit by their CEO is uncovered. However, few studies examine analysts' …

Audio-visual deception detection: Dolos dataset and parameter-efficient crossmodal learning

X Guo, NM Selvaraj, Z Yu, AWK Kong… - Proceedings of the …, 2023 - openaccess.thecvf.com
Deception detection in conversations is a challenging yet important task, having pivotal
applications in many fields such as credibility assessment in business, multimedia anti …

Some Evidence That Truth-Tellers Are More Attractive Than Liars

L Ten Brinke, I Raymundo… - Personality and …, 2023 - journals.sagepub.com
Despite the prevalence of deception, people rarely doubt others' sincerity. However, indirect
evaluations of liars and truth-tellers may differ even in the absence of suspicion about …

Is it the judge, the sender, or just the individual message? Disentangling person and message effects on variation in lie-detection judgments

S Volz, MA Reinhard, P Müller - … on Psychological Science, 2023 - journals.sagepub.com
Research suggests that people differ more in their ability to lie than in their ability to detect
lies. However, because studies have not treated senders and messages as separate …

The confidence‐accuracy relation–A comparison of metacognition measures in lie detection

S Volz, MA Reinhard, P Müller - Applied Cognitive Psychology, 2022 - Wiley Online Library
Previous research has produced mixed results on the question of whether confidence in ad
hoc veracity judgments can be used as an indicator of judgment accuracy. These studies …