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ORCIDArkady Zgonnikov
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2020 – today
- 2024
[j10]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): 1399-1413 (2024)- [j9]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: 103224 (2024) - [j8]Klaas Koerten, David A. Abbink, Arkady Zgonnikov:
Haptic Shared Control for Dissipating Phantom Traffic Jams. IEEE Trans. Hum. Mach. Syst. 54(1): 11-20 (2024) - [c27]Alberto Garzás-Villar, Caspar Boersma, Alexis Derumigny, Arkady Zgonnikov, Laura Marchal-Crespo:
Personality Traits Modulate the Effect of Haptic Guidance During Robotic-Assisted Motor Training. BioRob 2024: 1023-1028 - [c26]Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober:
ROME: Robust Multi-Modal Density Estimator. IJCAI 2024: 4751-4759 - [c25]Anna Mészáros, Julian Frederik Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober:
TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction. IV 2024: 184-191 - [c24]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: 409-416 - [c23]Jeroen Hagenus, Frederik Baymler Mathiesen, Julian F. Schumann, Arkady Zgonnikov:
Robustness in trajectory prediction for autonomous vehicles: a survey. IV 2024: 969-976 - [c22]Julian F. Schumann, Jens Kober, Arkady Zgonnikov:
Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios. IV 2024: 3148 - [c21]Nanami Hashimoto, Emma Hagens, Arkady Zgonnikov, Maria Luce Lupetti:
Safe Spot: Exploring perceived safety of dominant vs submissive quadruped robots. RO-MAN 2024: 717-724 - [i24]Anna Mészáros, Julian Frederik Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober:
Robust Multi-Modal Density Estimation. CoRR abs/2401.10566 (2024) - [i23]Jeroen Hagenus, Frederik Baymler Mathiesen, Julian Frederik Schumann, Arkady Zgonnikov:
A survey on robustness in trajectory prediction for autonomous vehicles. CoRR abs/2402.01397 (2024) - [i22]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 abs/2402.06325 (2024) - [i21]Lucas Elbert Suryana, Sina Nordhoff, Simeon C. 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 abs/2402.08080 (2024) - [i20]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 abs/2402.19128 (2024) - [i19]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 abs/2403.05400 (2024) - 2023
- [j7]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): 241-255 (2023) - [j6]Julian Frederik Schumann, Jens Kober, Arkady Zgonnikov:
Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios. IEEE Trans. Intell. Veh. 8(3): 2580-2591 (2023) - [c20]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: 819-826 - [c19]Frederik S. B. Westerhout, Julian Frederik Schumann, Arkady Zgonnikov:
Smooth-Trajectron++: Augmenting the Trajectron++ Behaviour Prediction Model with Smooth Attention. ITSC 2023: 5423-5428 - [c18]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: 5870-5875 - [c17]Samir H. A. Mohammad, Haneen Farah, Arkady Zgonnikov:
Modeling Gap Acceptance in Overtaking: A Cognitive Process Approach. ITSC 2023: 5925-5931 - [c16]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: 4790-4796 - [i18]Olger Siebinga, Arkady Zgonnikov, David A. Abbink:
A model of communication-enabled traffic interactions. CoRR abs/2304.06604 (2023) - [i17]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 abs/2305.11909 (2023) - [i16]Ashwin George, Luciano Cavalcante Siebert, David A. Abbink, Arkady Zgonnikov:
Measuring Causal Responsibility in Multi-Agent Spatial Interactions with Feasible Action-Space Reduction. CoRR abs/2305.15003 (2023) - [i15]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 abs/2305.15187 (2023) - [i14]Frederik S. B. Westerhout, Julian Frederik Schumann, Arkady Zgonnikov:
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention. CoRR abs/2305.19678 (2023) - [i13]Samir H. A. Mohammad, Haneen Farah, Arkady Zgonnikov:
A cognitive process approach to modeling gap acceptance in overtaking. CoRR abs/2306.05203 (2023) - [i12]Olger Siebinga, Arkady Zgonnikov, David A. Abbink:
Merging in a Coupled Driving Simulator: How do drivers resolve conflicts? CoRR abs/2308.04842 (2023) - [i11]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 abs/2312.04610 (2023) - [i10]Olger Siebinga, Arkady Zgonnikov, David A. Abbink:
A merging interaction model explains human drivers' behaviour from input signals to decisions. CoRR abs/2312.09776 (2023) - 2022
- [j5]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): 47:1-47:21 (2022) - [c15]Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert:
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. AAMAS 2022: 1038-1046 - [c14]Arkady Zgonnikov, Serge Thill, Philipp Beckerle, Catholijn M. Jonker:
Modeling Human Behavior in Human-Robot Interactions. HRI 2022: 1296-1297 - [i9]Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert:
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. CoRR abs/2201.00012 (2022) - [i8]Olger Siebinga, Arkady Zgonnikov, David A. Abbink:
Automatic extraction of similar traffic scenes from large naturalistic datasets using the Hausdorff distance. CoRR abs/2206.13386 (2022) - [i7]Julian Frederik Schumann, Jens Kober, Arkady Zgonnikov:
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios. CoRR abs/2211.05455 (2022) - [i6]Klaas Koerten, David A. Abbink, Arkady Zgonnikov:
Haptic Shared Control for Dissipating Phantom Traffic Jams. CoRR abs/2212.11591 (2022) - 2021
- [i5]Olger Siebinga, Arkady Zgonnikov, David A. Abbink:
Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach. CoRR abs/2109.13077 (2021) - [i4]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 abs/2112.01298 (2021) - 2020
- [j4]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: 94 (2020) - [j3]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)
2010 – 2019
- 2019
- [c13]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: 3445 - [i3]William Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rañó, KongFatt Wong-Lin:
Optimality and limitations of audio-visual integration for cognitive systems. CoRR abs/1912.00581 (2019) - 2018
- [c12]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: 1-9 - [c11]Gustav Markkula, Arkady Zgonnikov:
Evidence Accumulation Account of Human Operators' Decisions in Intermittent Control During Inverted Pendulum Balancing. SMC 2018: 716-721 - 2017
- [c10]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 - [c9]Arkady Zgonnikov, Andrea Aleni, Petri T. Piiroinen, Denis O'Hora:
Using mouse-tracking data to visualise decision landscapes. CogSci 2017 - [c8]Arkady Zgonnikov, Iñaki Rañó, Denis O'Hora, KongFatt Wong-Lin:
Walking dynamics of intertemporal choice. CogSci 2017 - 2016
- [c7]Irina Zgonnikova, Arkady Zgonnikov, Shigeru Kanemoto:
Stick Must Fall: Using Machine Learning to Predict Human Error in Virtual Balancing Task. ICDM Workshops 2016: 173-177 - 2015
- [j2]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): 351-358 (2015) - [c6]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: 1100-1103 - 2014
- [j1]Arkady Zgonnikov, Ihor Lubashevsky:
Unstable Dynamics of Adaptation in unknown Environment due to Novelty seeking. Adv. Complex Syst. 17(3-4) (2014) - [c5]Arkady Zgonnikov, Ihor Lubashevsky, Shigeru Kanemoto:
To react or not to react? A double-well potential model of event-driven human control. CogSci 2014 - [i2]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 abs/1402.3022 (2014) - [i1]Arkady Zgonnikov, Ihor Lubashevsky:
Noise-driven activation in human intermittent control: a double-well potential model. CoRR abs/1411.5125 (2014) - 2013
- [c4]Arkady Zgonnikov, Ihor Lubashevsky:
Unstable Dynamics of Intrinsically Motivated Learning. CogSci 2013 - [c3]Arkady Zgonnikov, Ihor Lubashevsky:
Intrinsically motivated reinforcement learning in socio-economic systems: The dynamical analysis. ICDL-EPIROB 2013: 1-2 - 2012
- [c2]Arkady Zgonnikov, Ihor Lubashevsky, Maxim Mozgovoy:
Computer simulation of stick balancing: action point analysis. HCCE 2012: 162-164 - [c1]Arkady Zgonnikov, Ihor Lubashevsky:
Choice oscillations caused by boredom effect in human learning model. SMC 2012: 1785-1787
Coauthor Index
aka: Julian Frederik Schumann
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