Predicting Group Contribution Behaviour in a Public Goods Game from Face-to-Face Communication. - Ehsan Othman; Frerk Saxen; Dmitri Bershadskyy; Philipp Werner; Ayoub Al-Hamadi; Joachim Weimann (Sensors, 2019)

Registered Report: A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering Experimentation. - Jacob Krüger; Gül Çalikli; Dmitri Bershadskyy; Robert Heyer; Sarah Zabel; Siegmar Otto (CoRR, 2022)

Uncovering Lies: Deception Detection in a Rolling-Dice Experiment. - Laslo Dinges; Marc-André Fiedler; Ayoub Al-Hamadi; Ahmed A. Abdelrahman; Joachim Weimann; Dmitri Bershadskyy (ICIAP (1), 2023)

Automated Deception Detection from Videos: Using End-to-End Learning Based High-Level Features and Classification Approaches. - Laslo Dinges; Marc-André Fiedler; Ayoub Al-Hamadi; Thorsten Hempel; Ahmed A. Abdelrahman; Joachim Weimann; Dmitri Bershadskyy (CoRR, 2023)

ChatGPT's financial discrimination between rich and poor - misaligned with human behavior and expectations. - Dmitri Bershadskyy; Florian E. Sachs; Joachim Weimann (CoRR, 2024)

Exploring facial cues: automated deception detection using artificial intelligence. - Laslo Dinges; Marc-André Fiedler; Ayoub Al-Hamadi; Thorsten Hempel; Ahmed A. Abdelrahman; Joachim Weimann; Dmitri Bershadskyy; Johann Steiner (Neural Comput. Appl., 2024)

Guidelines for using financial incentives in software-engineering experimentation. - Jacob Krüger; Gül Çalikli; Dmitri Bershadskyy; Siegmar Otto; Sarah Zabel; Robert Heyer (Empir. Softw. Eng., 2024)

A laboratory experiment on using different financial-incentivization schemes in software-engineering experimentation. - Dmitri Bershadskyy; Jacob Krüger; Gül Çalikli; Siegmar Otto; Sarah Zabel; Jannik Greif; Robert Heyer (PeerJ Comput. Sci., 2025)