42 citations · 98 across the 16 of their papers we have counts for
16 papers · 1 filter
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.…
Human-in-the-Loop Optimization for Inclusive Design: Balancing Automation and Designer Expertise
Pascal Jansen
Accessible and inclusive design has gained increased attention in HCI, yet practical implementation remains challenging due to resource-intensive prototyping methods. Traditional a…
PlantPal: Leveraging Precision Agriculture Robots to Facilitate Remote Engagement in Urban Gardening
Albin Zeqiri, Julian Britten, Clara Schramm +3
Urban gardening is widely recognized for its numerous health and environmental benefits. However, the lack of suitable garden spaces, demanding daily schedules and limited gardenin…
Bumpy Ride? Understanding the Effects of External Forces on Spatial Interactions in Moving Vehicles
Markus Sasalovici, Albin Zeqiri, Robin Connor Schramm +6
As the use of Head-Mounted Displays in moving vehicles increases, passengers can immerse themselves in visual experiences independent of their physical environment. However, intera…
Fly Away: Evaluating the Impact of Motion Fidelity on Optimized User Interface Design via Bayesian Optimization in Automated Urban Air Mobility Simulations
Luca-Maxim Meinhardt, Clara Schramm, Pascal Jansen +2
Automated Urban Air Mobility (UAM) can improve passenger transportation and reduce congestion, but its success depends on passenger trust. While initial research addresses passenge…
Improving External Communication of Automated Vehicles Using Bayesian Optimization
Mark Colley, Pascal Jansen, Mugdha Keskar +1
The absence of a human operator in automated vehicles (AVs) may require external Human-Machine Interfaces (eHMIs) to facilitate communication with other road users in uncertain sce…
OptiCarVis: Improving Automated Vehicle Functionality Visualizations Using Bayesian Optimization to Enhance User Experience
Pascal Jansen, Mark Colley, Svenja Krauß +2
Automated vehicle (AV) acceptance relies on their understanding via feedback. While visualizations aim to enhance user understanding of AV's detection, prediction, and planning fun…
AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction Studies
Pascal Jansen, Julian Britten, Alexander Häusele +3
Automotive user interface (AUI) evaluation becomes increasingly complex due to novel interaction modalities, driving automation, heterogeneous data, and dynamic environmental conte…
A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature Review
Pascal Jansen, Mark Colley, Enrico Rukzio
Automotive user interfaces constantly change due to increasing automation, novel features, additional applications, and user demands. While in-vehicle interaction can utilize numer…