Arkady Zgonnikov

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 50

Top Topics

Automatic Extraction

Cognitive Modeling

Top Venues

Publications

Klaas Koerten, David A. Abbink, Arkady Zgonnikov
Haptic Shared Control for Dissipating Phantom Traffic Jams. IEEE Trans. Hum. Mach. Syst. 54 (1) (2024)
Jeroen Hagenus, Frederik Baymler Mathiesen, Julian F. Schumann, Arkady Zgonnikov
Robustness in trajectory prediction for autonomous vehicles: a survey. IV (2024)
Anna Mészáros, Julian Frederik Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober
TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction. IV (2024)
Anna Mészáros, Julian Frederik Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober
Robust Multi-Modal Density Estimation. CoRR (2024)
Lucas Elbert Suryana, Sina Nordhoff, Simeon C. Calvert, Arkady Zgonnikov, Bart van Arem
A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users. IV (2024)
Lucas Elbert Suryana, Sina Nordhoff, Simeon Craig Calvert, Arkady Zgonnikov, Bart van Arem
User Perception of Partially Automated Driving Systems: A Meaningful Human Control Perspective on the Perception among Tesla Users. CoRR (2024)
Arkady Zgonnikov, Niek Beckers, Ashwin George, David A. Abbink, Catholijn M. Jonker
Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling. Int. J. Hum. Comput. Stud. 185 (2024)
Alberto Garzás-Villar, Caspar Boersma, Alexis Derumigny, Arkady Zgonnikov, Laura Marchal-Crespo
The Effect of Haptic Guidance during Robotic-assisted Motor Training is Modulated by Personality Traits. CoRR (2024)
Jeroen Hagenus, Frederik Baymler Mathiesen, Julian Frederik Schumann, Arkady Zgonnikov
A survey on robustness in trajectory prediction for autonomous vehicles. CoRR (2024)
Nanami Hashimoto, Emma Hagens, Arkady Zgonnikov, Maria Luce Lupetti
Safe Spot: Perceived safety of dominant and submissive appearances of quadruped robots in human-robot interactions. CoRR (2024)
Arkady Zgonnikov, David A. Abbink, Gustav Markkula
Should I Stay or Should I Go? Cognitive Modeling of Left-Turn Gap Acceptance Decisions in Human Drivers. Hum. Factors 66 (5) (2024)
Julian F. Schumann, Jens Kober, Arkady Zgonnikov
Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios. IV (2024)
Angelo Caregnato-Neto, Luciano Cavalcante Siebert, Arkady Zgonnikov, Marcos Ricardo Omena de Albuquerque Máximo, Rubens Junqueira Magalhães Afonso
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration. CoRR (2024)
Julian Frederik Schumann, Jens Kober, Arkady Zgonnikov
Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios. IEEE Trans. Intell. Veh. 8 (3) (2023)
Samir H. A. Mohammad, Haneen Farah, Arkady Zgonnikov
A cognitive process approach to modeling gap acceptance in overtaking. CoRR (2023)
Aravinda Ramakrishnan Srinivasan, Julian Frederik Schumann, Yueyang Wang, Yi-Shin Lin, Michael Daly, Albert Solernou, Arkady Zgonnikov, Matteo Leonetti, Jac Billington, Gustav Markkula
The COMMOTIONS Urban Interactions Driving Simulator Study Dataset. CoRR (2023)
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets. SMC (2023)
Julian Frederik Schumann, Aravinda Ramakrishnan Srinivasan, Jens Kober, Gustav Markkula, Arkady Zgonnikov
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study. CoRR (2023)
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
A model of communication-enabled traffic interactions. CoRR (2023)
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
A merging interaction model explains human drivers' behaviour from input signals to decisions. CoRR (2023)
Frederik S. B. Westerhout, Julian Frederik Schumann, Arkady Zgonnikov
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention. CoRR (2023)
Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers, Arkady Zgonnikov, Herman Veluwenkamp, David A. Abbink, Elisa Giaccardi, Geert-Jan Houben, Catholijn M. Jonker, Jeroen van den Hoven, Deborah Forster, Reginald L. Lagendijk
Meaningful human control: actionable properties for AI system development. AI Ethics 3 (1) (2023)
Julian Frederik Schumann, Aravinda Ramakrishnan Srinivasan, Jens Kober, Gustav Markkula, Arkady Zgonnikov
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study. ITSC (2023)
Samir H. A. Mohammad, Haneen Farah, Arkady Zgonnikov
Modeling Gap Acceptance in Overtaking: A Cognitive Process Approach. ITSC (2023)
Frederik S. B. Westerhout, Julian Frederik Schumann, Arkady Zgonnikov
Smooth-Trajectron++: Augmenting the Trajectron++ Behaviour Prediction Model with Smooth Attention. ITSC (2023)
Ashwin George, Luciano Cavalcante Siebert, David A. Abbink, Arkady Zgonnikov
Measuring Causal Responsibility in Multi-Agent Spatial Interactions with Feasible Action-Space Reduction. CoRR (2023)
Ashwin George, Luciano Cavalcante Siebert, David A. Abbink, Arkady Zgonnikov
Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions. ECAI (2023)
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
Merging in a Coupled Driving Simulator: How do drivers resolve conflicts? CoRR (2023)
Lanxin Zhang, Yongqi Dong, Haneen Farah, Arkady Zgonnikov, Bart van Arem
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection. CoRR (2023)
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
A Human Factors Approach to Validating Driver Models for Interaction-aware Automated Vehicles. ACM Trans. Hum. Robot Interact. 11 (4) (2022)
Arkady Zgonnikov, Serge Thill, Philipp Beckerle, Catholijn M. Jonker
Modeling Human Behavior in Human-Robot Interactions. HRI (2022)
Klaas Koerten, David A. Abbink, Arkady Zgonnikov
Haptic Shared Control for Dissipating Phantom Traffic Jams. CoRR (2022)
Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. CoRR (2022)
Julian Frederik Schumann, Jens Kober, Arkady Zgonnikov
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios. CoRR (2022)
Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. AAMAS (2022)
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
Automatic extraction of similar traffic scenes from large naturalistic datasets using the Hausdorff distance. CoRR (2022)
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach. CoRR (2021)
Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers, Arkady Zgonnikov, Herman Veluwenkamp, David A. Abbink, Elisa Giaccardi, Geert-Jan Houben, Catholijn M. Jonker, Jeroen van den Hoven, Deborah Forster, Reginald L. Lagendijk
Meaningful human control over AI systems: beyond talking the talk. CoRR (2021)
Nadim A. A. Atiya, Arkady Zgonnikov, Denis O'Hora, Martin Schoemann, Stefan Scherbaum, KongFatt Wong-Lin
Changes-of-mind in the absence of new post-decision evidence. PLoS Comput. Biol. 16 (2) (2020)
William Paul Boyce, Anthony Lindsay, Arkady Zgonnikov, Iñaki Rañó, KongFatt Wong-Lin
Optimality and Limitations of Audio-Visual Integration for Cognitive Systems. Frontiers Robotics AI 7 (2020)
Nicholas D. Duran, Denis O'Hora, Sam Redfern, Arkady Zgonnikov
Lying in public: Revealing the microstructure of real-time false responding through action dynamics. CogSci (2019)
William Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rañó, KongFatt Wong-Lin
Optimality and limitations of audio-visual integration for cognitive systems. CoRR (2019)
Gustav Markkula, Arkady Zgonnikov
Evidence Accumulation Account of Human Operators' Decisions in Intermittent Control During Inverted Pendulum Balancing. SMC (2018)
Denis O'Hora, Sam Redfern, Nicholas D. Duran, Arkady Zgonnikov, Daragh Sweeney
In-Game Motion Dynamics Provide a Means of Exploring the Cognitive Dynamics of Deception. GEM (2018)
Santiago Garcia-Guerrero, Denis O'Hora, Arkady Zgonnikov
The Price of Fear: Developing a behavioural assessment of fear-related avoidance incorporating dynamic response measures. CogSci (2017)
Arkady Zgonnikov, Andrea Aleni, Petri T. Piiroinen, Denis O'Hora
Using mouse-tracking data to visualise decision landscapes. CogSci (2017)
Arkady Zgonnikov, Iñaki Rañó, Denis O'Hora, KongFatt Wong-Lin
Walking dynamics of intertemporal choice. CogSci (2017)
Irina Zgonnikova, Arkady Zgonnikov, Shigeru Kanemoto
Stick Must Fall: Using Machine Learning to Predict Human Error in Virtual Balancing Task. ICDM Workshops (2016)
Arkady Zgonnikov, Shigeru Kanemoto, Ihor Lubashevsky, Takashi Suzuki
How the Type of Visual Feedback Affects Actions of Human operators: The Case of Virtual Stick Balancing. SMC (2015)
Arkady Zgonnikov, Ihor Lubashevsky
Double-well dynamics of noise-driven control activation in human intermittent control: the case of stick balancing. Cogn. Process. 16 (4) (2015)
Arkady Zgonnikov, Ihor Lubashevsky
Noise-driven activation in human intermittent control: a double-well potential model. CoRR (2014)
Arkady Zgonnikov, Ihor Lubashevsky, Shigeru Kanemoto
To react or not to react? A double-well potential model of event-driven human control. CogSci (2014)
Arkady Zgonnikov, Ihor Lubashevsky
Unstable Dynamics of Adaptation in unknown Environment due to Novelty seeking. Adv. Complex Syst. 17 (3-4) (2014)
Arkady Zgonnikov, Ihor Lubashevsky, Shigeru Kanemoto, Toru Miyazawa, Takashi Suzuki
To react or not to react? Intrinsic stochasticity of human control in virtual stick balancing. CoRR (2014)
Arkady Zgonnikov, Ihor Lubashevsky
Intrinsically motivated reinforcement learning in socio-economic systems: The dynamical analysis. ICDL-EPIROB (2013)
Arkady Zgonnikov, Ihor Lubashevsky
Unstable Dynamics of Intrinsically Motivated Learning. CogSci (2013)
Arkady Zgonnikov, Ihor Lubashevsky
Choice oscillations caused by boredom effect in human learning model. SMC (2012)
Arkady Zgonnikov, Ihor Lubashevsky, Maxim Mozgovoy
Computer simulation of stick balancing: action point analysis. HCCE (2012)