42 citations · 98 across the 16 of their papers we have counts for
8 papers · 2 filters
Multi-Session User Experience Assessments of Computationally Optimized Automated Vehicle Functionality Visualizations
Mark Colley, Pascal Jansen, Svenja Krauss +1
Understanding automated vehicles (AVs) is crucial to improving their acceptance. Numerous approaches to visualizing relevant traffic information to passengers have been proposed an…
Effects of Auditory Information for People With Visual Impairments in Highly Automated Vehicles
Mark Colley, Tobias Aescht, Omid Rajabi +3
Automated vehicles promise to improve accessibility and access to personal mobility for everyone. However, their design and current research trends in visualizing relevant informat…
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…
ProVoice: Designing Proactive Functionality for In-Vehicle Conversational Assistants using Multi-Objective Bayesian Optimization to Enhance Driver Experience
Josh Susak, Yifu Liu, Pascal Jansen +1
The next step for In-vehicle Conversational Assistants (IVCAs) will be their capability to initiate and automate proactive system interactions throughout journeys. However, diverse…
MIRAGE: Enabling Real-Time Automotive Mediated Reality
Pascal Jansen, Julian Britten, Mark Colley +2
Traffic is inherently dangerous, with around 1.19 million fatalities annually. Automotive Mediated Reality (AMR) can enhance driving safety by overlaying critical information (e.g.…