| Understanding road-user behaviour in AV interactions |
ESR1 (Nikol Figalová) – Understanding Driver-vehicle Interaction Using Neuroergonomics (Ulm)
ESR2 (Naomi Mbelekani) – Long Term Effects of Automation on User Behavior (TUM)
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ESR3 (Chi Zhang) – Classifying and Predicting Interactions Between AVs and VRUs Using AI (UGOT)
ESR4 (Yue Yang) – Long Term Effects of AV Exposure on AV/VRU Interactions (Leeds) |
| Developing AV interface design strategies |
ESR5 (Chen Peng) – Developing more acceptable, pleasant and transparent AV-kinematic cues for drivers (Leeds)
ESR6 (Mohammed Nasser) – Internal Interface for Transparent and Agile Automation (Ulm)
ESR7 (Yuan-Cheng Liu) – Assessing AV Transparency (TUM)
ESR8 (Amna Pir Muhammed) – Human Factors in AI-base Automation Design (UGOT) |
ESR9 (Wilbert Tabone) – Assessing Interactions Between AVs/VRUs Using Virtual/Augmented Reality (TU Delft)
ESR10 (Siri Hegna Berge) – HMIs promoting safe AV/cyclist interactions (TU Delft)
ESR11 (Sarang Jokhio) – Cooperative Interaction Strategies Between AVs and Mixed Motorized Traffic (Ulm)
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| Assessing safety in mixed traffic |
ESR12 (Xiaolin He) – AV Occupants Perception of Safety in relation to AV behaviour (TU Delft) |
ESR13 (Amir Hossein Kalantari) – Computational AV/Pedestrian Interaction Models (Leeds)
ESR14 (Ali Mohammadi) – Computational AV/Cyclist Interaction Models (Chalmers)
ESR15 (Xiaomi Yang) – Safety Evaluation of Automation Using Counterfactual Simulations (Chalmers) |
