Pavlo Bazilinskyy

Publications

• Analyzing crowdsourced ratings of speech-based take-over requests for automated driving
• When will most cars be able to drive fully automatically? Projections of 18,970 survey respondents
• Risk perception: A study using dashcam videos and participants from different world regions
• How do pedestrians distribute their visual attention when walking through a parking garage? An eye-tracking study
• Automated vehicles that communicate implicitly: examining the use of lateral position within the lane
• Predicting perceived risk of traffic scenes using computer vision
• Blind driving by means of the track angle error
• Auditory interfaces in automated driving: An international survey
• How should external human-machine interfaces behave? Examining the effects of colour, position, message, activation distance, vehicle yielding, and visual distraction among 1,434 participants
• Blind driving by means of a steering-based predictor algorithm
• Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays
• Take-over again: Investigating multimodal and directional TORs to get the driver back into the loop
• An International Crowdsourcing Study into People's Statements on Fully Automated Driving
• Survey on eHMI concepts: The effect of text, color, and perspective
• The effect of drivers’ eye contact on pedestrians’ perceived safety
• External Human-Machine Interfaces: Which of 729 Colors Is Best for Signaling 'Please (Do not) Cross'?
• Crowdsourced Measurement of Reaction Times to Audiovisual Stimuli With Various Degrees of Asynchrony
• Towards the detection of driver–pedestrian eye contact
• Stopping by looking: A driver-pedestrian interaction study in a coupled simulator using head-mounted displays with eye-tracking
• What driving style makes pedestrians think a passing vehicle is driving automatically?
• Continuous auditory feedback on the status of adaptive cruise control, lane deviation, and time headway: An acceptable support for truck drivers?
• Blinded windows and empty driver seats: The effects of automated vehicle characteristics on cyclists’ decision-making
• Get Out of The Way! Examining eHMIs in Critical Driver-Pedestrian Encounters in a Coupled Simulator
• Bio-inspired intent communication for automated vehicles
• Blind driving by means of auditory feedback
• Visual Attention of Pedestrians in Traffic Scenes: A Crowdsourcing Experiment
• Sonifying the location of an object: A comparison of three methods
• Object-alignment performance in a head-mounted display versus a monitor
• Holistic HMI Design for Automated Vehicles: Bridging In-Vehicle and External Communication
• Breaking Barriers: Workshop on Open Data Practices in AutoUI Research
• Exterior sounds for electric and automated vehicles: Loud is effective
• Exploring Holistic HMI Design for Automated Vehicles: Insights from a Participatory Workshop to Bridge In-Vehicle and External Communication
• Putting ChatGPT vision (GPT-4V) to the test: risk perception in traffic images
• Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research
• Evaluating Autonomous Vehicle External Communication Using a Multi-Pedestrian VR Simulator
• It Is Not Always Just One Road User: Workshop on Multi-Agent Automotive Research
• From A to B with Ease: User-Centric Interfaces for Shuttle Buses
• Incorporating Multiple Users' Perspectives in HMI Design for Automated Vehicles: Exploration of a Role-Switching Approach
• Exploring the Correlation between Emotions and Uncertainty in Daily Travel
• Exploring Holistic HMI Design for Automated Vehicles
• Putting ChatGPT vision (GPT-4V) to the test
• Breaking Barriers
• Behavioral Effects of a Delivery Drone on Feelings of Uncertainty: A Virtual Reality Experiment