775 citations
- Eindhoven University of TechnologyNL24 papers
- Centrum Wiskunde & InformaticaNL23 papers
- University of AmsterdamNL14 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- University College LondonGB9 papers
- Maastricht UniversityNL8 papers
- Delft University of TechnologyNL7 papers
- UCLouvainBE7 papers
- Universitat Politècnica de CatalunyaES7 papers
- University of AntwerpBE7 papers
- University of GroningenNL7 papers
- Georgia Institute of TechnologyUS6 papers
9 papers · 1 filter
Humans incorrectly reject confident accusatory AI judgments
Riccardo Loconte, Merylin Monaro, Pietro Pietrini +2
Automated verbal deception detection using methods from Artificial Intelligence (AI) has been shown to outperform humans in disentangling lies from truths. Research suggests that t…
Multimodal Quantitative Measures for Multiparty Behaviour Evaluation
Ojas Shirekar, Wim Pouw, Chenxu Hao +3
Digital humans are emerging as autonomous agents in multiparty interactions, yet existing evaluation metrics largely ignore contextual coordination dynamics. We introduce a unified…
Predicting Workload in Virtual Flight Simulations using EEG Features (Including Post-hoc Analysis in Appendix)
Bas Verkennis, Evy van Weelden, Francesca L. Marogna +3
Effective cognitive workload management has a major impact on the safety and performance of pilots. Integrating brain-computer interfaces (BCIs) presents an opportunity for real-ti…
Gamification of Motor Imagery Brain-Computer Interface Training Protocols: a systematic review
Fred Atilla, Marie Postma, Maryam Alimardani
Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and monotonous training procedure to train both the system and the user. Considering many users struggle…
Testing Human Ability To Detect Deepfake Images of Human Faces
Sergi D. Bray, Shane D. Johnson, Bennett Kleinberg
Deepfakes are computationally-created entities that falsely represent reality. They can take image, video, and audio modalities, and pose a threat to many areas of systems and soci…
EEG-based Classification of Drivers Attention using Convolutional Neural Network
Fred Atilla, Maryam Alimardani
Accurate detection of a drivers attention state can help develop assistive technologies that respond to unexpected hazards in real time and therefore improve road safety. This stud…