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[HTML][HTML] Deception detection using machine learning (ML) and deep learning (DL) techniques: A systematic review
Deception detection is a crucial concern in our daily lives, with its effect on social
interactions. The human face is a rich source of data that offers trustworthy markers of …
interactions. The human face is a rich source of data that offers trustworthy markers of …
What is missing in the study of emotion expression?
While approaching celebrations for the 150 years of “The Expression of the Emotions in Man
and Animals”, scientists' conclusions on emotion expression are still debated. Emotion …
and Animals”, scientists' conclusions on emotion expression are still debated. Emotion …
[HTML][HTML] Revealing the influence of AI and its interfaces on job candidates' honest and deceptive impression management in asynchronous video interviews
HY Suen, KE Hung - Technological Forecasting and Social Change, 2024 - Elsevier
Automated video interviews powered by artificial intelligence (AI) are increasingly being
adopted by employers to screen job candidates despite concerns regarding the humanity …
adopted by employers to screen job candidates despite concerns regarding the humanity …
BudsAuth: Towards Gesture-Wise Continuous User Authentication Through Earbuds Vibration Sensing
The surge in popularity of wireless headphones, particularly wireless earbuds, as smart
wearables, has been notable in recent years. These devices, empowered by artificial …
wearables, has been notable in recent years. These devices, empowered by artificial …
An optimized facial recognition model for identifying criminal activities using deep learning strategy
The most important research field in the current period is facial recognition and detection.
Furthermore, facial expression recognition applications are essential in various research …
Furthermore, facial expression recognition applications are essential in various research …
Exploring facial cues: automated deception detection using artificial intelligence
Deception detection is an interdisciplinary field attracting researchers from psychology,
criminology, computer science, and economics. Automated deception detection presents …
criminology, computer science, and economics. Automated deception detection presents …
A review of automatic lie detection from facial features
The growth of machine learning and artificial intelligence has made it possible for automatic
lie detection systems to emerge. These can be based on a variety of cues, such as facial …
lie detection systems to emerge. These can be based on a variety of cues, such as facial …
Does Design Matter? The (Limited) Effects of Six Asynchronous Video Interview Design Features on Impression Management, Reactions, and Evaluations
Asynchronous video interviews can use many configurations of design features to create the
interviewee experience, but not all designs are equal. Design features may influence …
interviewee experience, but not all designs are equal. Design features may influence …
[PDF][PDF] Deep Learning-Based Micro Facial Expression Recognition Using an Adaptive Tiefes FCNN Model.
Accepted: 16 May 2023 The scientific community and media have increasingly recognized
the significance of microexpressions as indicators for detecting deception, as they reveal …
the significance of microexpressions as indicators for detecting deception, as they reveal …
Comparing job applicant deception in asynchronous vs synchronous video interviews, with and without AI-assisted assessments
HY Suen, KE Hung - Information Technology & People, 2023 - emerald.com
Purpose Asynchronous Video Interviews (AVIs) incorporating Artificial Intelligence (AI)-
assisted assessment has become popular as a pre-employment screening method. The …
assisted assessment has become popular as a pre-employment screening method. The …