Results 41 to 50 of about 62,713 (311)
Acoustic-Prosodic and Lexical Cues to Deception and Trust: Deciphering How People Detect Lies
Transactions of the Association for Computational Linguistics, 2020 Humans rarely perform better than chance at lie detection. To better understand human perception of deception, we created a game framework, LieCatcher, to collect ratings of perceived deception using a large corpus of deceptive and truthful interviews ...
Chen, Xi (Leslie) +4 more
doaj +1 more source
How humans impair automated deception detection performance
Acta Psychologica, 2021 Background: Deception detection is a prevalent problem for security practitioners. With a need for more large-scale approaches, automated methods using machine learning have gained traction. However, detection performance still implies considerable error
Bennett Kleinberg, Bruno Verschuere
doaj +1 more source
The Focal Account: Indirect Lie Detection Need Not Access Unconscious, Implicit Knowledge [PDF]
, 2015 People are poor lie detectors, but accuracy can be improved by making the judgment indirectly. In a typical demonstration, participants are not told that the experiment is about deception at all.
Richardson, Daniel C. +1 more
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Advanced Sustainable Systems, EarlyView.This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
IEEE Open Journal of the Computer SocietyDeception detection is essential for protecting the public interest and maintaining social order. Its application in various fields helps to establish a safer and trustworthy social environment. This study focuses on the problem of deception detection in
Shuai Gao +6 more
doaj +1 more source
An Honest Joker reveals stereotypical beliefs about the face of deception
Scientific Reports, 2023 Research on deception detection has mainly focused on Simple Deception, in which false information is presented as true. Relatively few studies have examined Sophisticated Deception, in which true information is presented as false.
Xingchen Zhou, Rob Jenkins, Lei Zhu
doaj +1 more source
Interviewing to Detect Deception [PDF]
European Psychologist, 2014 DePaulo et al.’s (2003) meta-analysis of verbal and nonverbal cues to deception showed that cues to deception are faint and unreliable. If liars do not spontaneously display diagnostic cues to deceit, a logical step is to make sure that investigators elicit or enhance such cues in interviews through specific interview technique.
openaire +3 more sources
Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance
Advanced Science, EarlyView.Precision engineering of plant NLR immune receptors enables rational design of enhanced pathogen resistance through mismatched pairing, domain swapping, and targeted mutagenesis. These approaches achieve multi‐fold expansion in recognition breadth while minimizing autoimmunity risks and fitness penalties.
Vinit Kumar +7 more
wiley +1 more source
The effects of cheating on deception detection during a social dilemma [PDF]
, 2012 Research by social psychologists and others consistently finds that people are poor at detecting attempted deception by others. However, Tooby and Cosmides (cognitive psychologists who favor evolutionary analyses of behavior) have argued and shown that
Swanenburg, Kristina
core