From the 1 of 2 linked papers with an AI index.
2 papers
cs.HC2026
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…
cs.HC2025
OptiCarVis: Improving Automated Vehicle Functionality Visualizations Using Bayesian Optimization to Enhance User Experience
Pascal Jansen, Mark Colley, Svenja Krauà +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…