From the 2 of 15 linked papers with an AI index.
15 papers
Multi-Session User Experience Assessments of Computationally Optimized Automated Vehicle Functionality Visualizations
Mark Colley, Pascal Jansen, Svenja Krauss +1
The paper uses multi‑objective Bayesian optimization to automatically design visualizations for automated vehicle passengers, aiming to boost trust and perceived safety while reduc…
Effects of Auditory Information for People With Visual Impairments in Highly Automated Vehicles
Mark Colley, Tobias Aescht, Omid Rajabi +3
The paper presents a visual and auditory communication system for visually impaired passengers in fully automated vehicles and evaluates three levels of auditory information, showi…
BlurDriving: Investigating How Personalized Blur Techniques Impact Drivers' Performance in Virtual Reality
Yuan Li, Mark Colley, Xinyue Gui +4
Distracted driving remains a major safety concern, motivating approaches that aim to reduce visual overload before attention breaks down. However, visual overload varies across ind…
Toward Governing Perception in Safety-Critical Mediated Reality on the Move
Pascal Jansen
Wearable Augmented Reality (AR) is increasingly deployed in on-the-move contexts such as automated driving, cycling, and pedestrian navigation. To date, most systems rely on additi…
From Human Negotiation to Agent Negotiation: Personal Mobility Agents in Automated Traffic
Pascal Jansen
Conflicts between user preferences and automated system behavior already shape the experience of automated mobility. For example, a passenger may prefer assertive driving, yet the…
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…