127 citations · 288 across the 53 of their papers we have counts for
8 papers · 1 filter
In the driver's mind: modeling the dynamics of human overtaking decisions in interactions with oncoming automated vehicles
Samir H. A. Mohammad, Haneen Farah, Arkady Zgonnikov
Understanding human behavior in overtaking scenarios is crucial for enhancing road safety in mixed traffic with automated vehicles (AVs). Computational models of behavior play a pi…
Are you sure? Modelling Drivers' Confidence Judgments in Left-Turn Gap Acceptance Decisions
Floor Bontje, Arkady Zgonnikov
When a person makes a decision, it is automatically accompanied by a subjective probability judgment of the decision being correct, in other words, a confidence judgment. A better…
Safe Spot: Perceived safety of dominant and submissive appearances of quadruped robots in human-robot interactions
Nanami Hashimoto, Emma Hagens, Arkady Zgonnikov +1
Unprecedented possibilities of quadruped robots have driven much research on the technical aspects of these robots. However, the social perception and acceptability of quadruped ro…
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration
Angelo Caregnato-Neto, Luciano Cavalcante Siebert, Arkady Zgonnikov +2
One of the key issues in human-robot collaboration is the development of computational models that allow robots to predict and adapt to human behavior. Much progress has been achie…
The Effect of Haptic Guidance during Robotic-assisted Motor Training is Modulated by Personality Traits
Alberto Garzás-Villar, Caspar Boersma, Alexis Derumigny +2
The provision of robotic assistance during motor training has proven to be effective in enhancing motor learning in some healthy trainee groups as well as patients. Personalizing s…
A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users
Lucas Elbert Suryana, Sina Nordhoff, Simeon C. Calvert +2
The use of partially automated driving systems raises concerns about potential responsibility issues, posing risk to the system safety, acceptance, and adoption of these technologi…
A survey on robustness in trajectory prediction for autonomous vehicles
Jeroen Hagenus, Frederik Baymler Mathiesen, Julian F. Schumann +1
Autonomous vehicles rely on accurate trajectory prediction to inform decision-making processes related to navigation and collision avoidance. However, current trajectory prediction…
ROME: Robust Multi-Modal Density Estimator
Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora +2
The estimation of probability density functions is a fundamental problem in science and engineering. However, common methods such as kernel density estimation (KDE) have been demon…