Crowdsourced experiment 2 on the color of external Human-Machine Interfaces (eHMIs) for a crossing scenario.
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Jan 4, 2023 - JavaScript
Crowdsourced experiment 2 on the color of external Human-Machine Interfaces (eHMIs) for a crossing scenario.
Crowdsourced experiment 1 on the color of external Human-Machine Interfaces (eHMIs) for a crossing scenario.
Frontend of crowdsourced experiment on acceptance the AI-based lane changes of an automated car.
Mobile Telemanipulator Robot Simulator (MTR-Sim) for Healthcare
Third-degree Computer Engineering subject at Universitat de Barcelona
Examining eHMIs in critical driver-pedestrian encounters in a coupled simulator
Crowdsourced measurement of reaction times to audiovisual stimuli with various degrees of asynchrony.
Crowdsourced experiment on eye contract between automated vehicles and pedestrians.
Collection of open access publications by the author
Crowdsourced experiment on the use of lateral position for communication between an automated vehicle and a pedestrian.
Crowdsourced experiment on sounds for electric vehicles Crowdsourced exploration of the noticeability and annoyance of synthetic sound signals for electric vehicles.
Framework for the analysis of crossing behaviour in the interaction between multiple pedestrians and an automated vehicle, from the perspective of one of the pedestrians using a crowdsourcing approach.
Detection of saliency in crowdsourced gazes data.
This project defines a framework for the analysis of crossing behaviour in the interaction between a pedestrian and an automated vehicle with a textual eHMI using a crowdsourcing approach.
Crowdsourced experiment on the effects of automated vehicle characteristics on cyclist decision-making.
Framework for crowdsourced collection of eye gazes demonstrated in article Bazilinskyy, P., Dodou, D., & De Winter, J. C. F. (2021). Visual attention of pedestrians in traffic Scenes. Proceedings of AHFE 2021
Crowdsourced experiment on bio-inpired interfaces for automated vehicles.
Exploration of eye contact between a pedestrian and a driver of a car by means of crowdsourcing.
A framework for the analysis of perceived risk in the interaction between pedestrian and vehicle, from the perspective of the driver using a crowdsourcing approach.
Frontend implementation for crowdsourced experiment on estimation of risk in traffic scenes.
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