Ruben S. Verhagen

According to our database, Ruben S. Verhagen authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Advancing Human-Machine Teaming: Definitions, Challenges, Future Directions.

Ruben S. Verhagen, Mark A. Neerincx, X. Jessie Yang, Myrthe L. Tielman

Proceedings of the 4th International Conference on Hybrid Human-Artificial Intelligence, 2025

Agent Allocation of Moral Decisions in Human-Agent Teams: Raise Human Involvement and Explain Potential Consequences.

Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Meaningful human control and variable autonomy in human-robot teams for firefighting.

Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman

Frontiers Robotics AI, 2024

The Influence of Interdependence on Trust Calibration in Human-Machine Teams.

Ruben S. Verhagen, Alexandra Marcu, Mark A. Neerincx, Myrthe L. Tielman

Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

2023

Supervised tractogram filtering using Geometric Deep Learning.

Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani

Medical Image Anal., December, 2023

Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance.

Ruben S. Verhagen, Mark A. Neerincx, Can Parlar, Marin Vogel, Myrthe L. Tielman

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Software and code for the research project: Interdependence and Communication Style in Human-Agent/Robot Teamwork.

Ruben S. Verhagen

Dataset, July, 2022

The influence of interdependence and a transparent or explainable communication style on human-robot teamwork.

Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman

Frontiers Robotics AI, 2022

Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology.

Ruben S. Verhagen, Siddharth Mehrotra, Mark A. Neerincx, Catholijn M. Jonker, Myrthe L. Tielman

CoRR, 2022

2021

A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable.

Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2021

2020

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning.

Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020