5 papers
Rethinking External Communication of Autonomous Vehicles: Is the Field Converging, Diverging, or Stalling?
Tram Thi Minh Tran, Debargha Dey, Martin Tomitsch
As autonomous vehicles enter public spaces, external human-machine interfaces are proposed to support communication with external road users. A decade of research has produced hund…
eHMI for All -- Investigating the Effect of External Communication of Automated Vehicles on Pedestrians, Manual Drivers, and Cyclists in Virtual Reality
Mark Colley, Simon Kopp, Debargha Dey +2
With automated vehicles (AVs), the absence of a human operator could necessitate external Human-Machine Interfaces (eHMIs) to communicate with other road users. Existing research p…
Exploring the Impacts of Background Noise on Auditory Stimuli of Audio-Visual eHMIs for Hearing, Deaf, and Hard-of-Hearing People
Wenge Xu, Foroogh Hajiseyedjavadi, Debargha Dey +2
External Human-Machine Interfaces (eHMIs) have been proposed to enhance communication between automated vehicles (AVs) and pedestrians, with growing interest in multi-modal designs…
Quo-Vadis Multi-Agent Automotive Research? Insights from a Participatory Workshop and Questionnaire
Pavlo Bazilinskyy, Francesco Walker, Debargha Dey +5
The transition to mixed-traffic environments that involve automated vehicles, manually operated vehicles, and vulnerable road users presents new challenges for human-centered autom…
Socially Adaptive Autonomous Vehicles: Effects of Contingent Driving Behavior on Drivers' Experiences
Chishang Yang, Xiang Chang, Debargha Dey +2
Social scientists have argued that autonomous vehicles (AVs) need to act as effective social agents; they have to respond implicitly to other drivers' behaviors as human drivers wo…