The Impact of AI-Powered Lie Detection in Negotiations
Deception Detection
This project is about automatic deception detection in video call situations, based on video and audio cues.
Deception Detection In virtual sales meetings
How can deception be detected in digital conversations? Our project explores AI-powered methods for automated deception detection—for example, in video conferences, sales calls, or online surveys. Unlike traditional lie detectors, we focus on non-contact, unobtrusive techniques suitable for everyday situations.
To support this, we are building a new video dataset specifically designed for economic experiments. The goal is to analyze human deception in realistic but voluntary contexts—such as exaggerated product claims. Alongside classic tools like OpenFace, we compare modern deep learning models and study how people respond to automated deception detection.
This interdisciplinary project bridges Deep Learning, classical Machine Learning, and experimental economics, aiming to promote fairer digital interactions in the long run.
Buyer–Seller-Deception-Game Dataset: A new comprehensive dataset for facial expression based deception detection in economic contexts
February 26, 2026
Comparing OpenFace and Deep Learning Models for Deception Detection in Video Calls
November 09, 2025
Experimental economics for machine learning—A methodological contribution on lie detection
June 19, 2025
follow-up project approved
June 19, 2025
Exploring facial cues: automated deception detection using artificial intelligenc
June 19, 2024
