Arkady Zgonnikov
Orcid: 0000-0002-6593-6948
According to our database1,
Arkady Zgonnikov
authored at least 54 papers
between 2012 and 2024.
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Bibliography
2024
Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling.
Int. J. Hum. Comput. Stud., May, 2024
IEEE Trans. Hum. Mach. Syst., February, 2024
Should I Stay or Should I Go? Cognitive Modeling of Left-Turn Gap Acceptance Decisions in Human Drivers.
Hum. Factors, 2024
Safe Spot: Perceived safety of dominant and submissive appearances of quadruped robots in human-robot interactions.
CoRR, 2024
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration.
CoRR, 2024
User Perception of Partially Automated Driving Systems: A Meaningful Human Control Perspective on the Perception among Tesla Users.
CoRR, 2024
The Effect of Haptic Guidance during Robotic-assisted Motor Training is Modulated by Personality Traits.
CoRR, 2024
A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
IEEE Trans. Intell. Veh., March, 2023
AI Ethics, February, 2023
A merging interaction model explains human drivers' behaviour from input signals to decisions.
CoRR, 2023
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection.
CoRR, 2023
Measuring Causal Responsibility in Multi-Agent Spatial Interactions with Feasible Action-Space Reduction.
CoRR, 2023
Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Smooth-Trajectron++: Augmenting the Trajectron++ Behaviour Prediction Model with Smooth Attention.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
A Human Factors Approach to Validating Driver Models for Interaction-aware Automated Vehicles.
ACM Trans. Hum. Robot Interact., 2022
CoRR, 2022
Automatic extraction of similar traffic scenes from large naturalistic datasets using the Hausdorff distance.
CoRR, 2022
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach.
CoRR, 2021
2020
PLoS Comput. Biol., 2020
Frontiers Robotics AI, 2020
2019
CoRR, 2019
Lying in public: Revealing the microstructure of real-time false responding through action dynamics.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Evidence Accumulation Account of Human Operators' Decisions in Intermittent Control During Inverted Pendulum Balancing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
In-Game Motion Dynamics Provide a Means of Exploring the Cognitive Dynamics of Deception.
Proceedings of the IEEE Games, Entertainment, Media Conference, 2018
2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
The Price of Fear: Developing a behavioural assessment of fear-related avoidance incorporating dynamic response measures.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
2016
Stick Must Fall: Using Machine Learning to Predict Human Error in Virtual Balancing Task.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
2015
Double-well dynamics of noise-driven control activation in human intermittent control: the case of stick balancing.
Cogn. Process., 2015
How the Type of Visual Feedback Affects Actions of Human operators: The Case of Virtual Stick Balancing.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
2014
To react or not to react? Intrinsic stochasticity of human control in virtual stick balancing.
CoRR, 2014
Noise-driven activation in human intermittent control: a double-well potential model.
CoRR, 2014
Adv. Complex Syst., 2014
To react or not to react? A double-well potential model of event-driven human control.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
2013
Intrinsically motivated reinforcement learning in socio-economic systems: The dynamical analysis.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
2012
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the Joint International Conference on Human-Centered Computer Environments, 2012