Publications
The Road Ahead - Advancing Interactions between Autonomous Vehicles, Pedestrians, and Other Road Users
Avram Block, Swapna Joshi, Wilbert Tabone, Aryaman Pandya, Seonghee Lee, Vaidehi Patil, Nicholas Britten, Paul Schmitt
32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, South Korea, 2023
An Overview of Interfaces for Automated Vehicles (inside/outside)
Natasha Merat, Yue Yang, Yee Mun Lee, Siri Hegna Berge, Nikol Figalova, Sarang Jokhio, Chen Peng,Naomi Mbelekani, Mohamed Nasser, Amna Pir Muhammed, Wilbert Tabone, Liu Yuan-Cheng, Jonas Bärgman
Deliverable D2.1 in the H2020 MSCA ITN project SHAPE-IT, 2021
Methodological Framework for Modelling and Empirical Approaches
Nikol Figalova, Naomi Yvonne Mbelekani, Chi Zhang, Yue Yang, Chen Peng, Mohamed Nasser, Liu Yuan-Cheng, Amna Pir Muhammed, Wilbert Tabone, Siri Hegna Berge, Sarang Jokhio, Xiaolin He, Amir Hossein Kalantari, Ali Mohammadi, Xiaomi Yang
Deliverable D1.1 in the H2020 MSCA ITN project SHAPE-IT, 2021
Vulnerable road users and the coming wave of automated vehicles - Expert perspectives
Wilbert Tabone, Joost De Winter, Claudia Ackermann, Jonas Bärgman, Martin Baumann, Shuchisnigdha Deb, Colleen Emmenegger, Azra Habibovic, Marjan Hagenzieker, Peter A Hancock, Riender Happee, Josef Krems, John D Lee, Marieke Martens, Natasha Merat, Don Norman, Thomas B Sheridan, Neville A Stanton
Transportation research interdisciplinary perspectives, 2020
PhD Research
My PhD research explored how automated vehicles will interact with pedestrians in the urban environment through augmented reality technology. Nine distinct AR interfaces were designed, developed, and evaluated to assess how different design elements (symbols, text, colour) and distinct mappings of the AR (on the road, on the vehicle, or head-locked) would affect comprehension, and ultimately whether the pedestrian would trust and be convinced to cross in front of an automated vehicle displaying a safe message.
Using increasing levels of ecological validity, from an online questionnaire to a CAVE simulator and an AR HMD experiment, the evaluation also explored how different AR anchoring (and mapping) positions affect pedestrians' crossing initiation times and the intuitiveness of the message. The thesis also explores the use of diminished reality (removal of information) to assist pedestrians in occluded scenarios and the utilisation of Large Language Models in evaluating qualitative data in experiments. The outcomes of the thesis are guidelines based on empirical evidence on how to design effective AR interfaces that promote safe and transparent interactions between pedestrians and automated vehicles.
Current Research
As a postdoctoral researcher, I am currently investigating the use of brain-computer interfaces to enhance human-robot interactions. More information will be added as experiments progress further and bear results.