4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.HC2026
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…
cs.HC2025★ 4 cited
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…