Parkinson’s disease (PD) can impair abilities essential for safe and independent driving. However, little is known about how individuals with PD experience driving and perceive current driver assistance systems. At the same time, advances in driver assistance technologies may offer new opportunities to support mobility...
Anna Preiwisch, Andreas Riener· Adjunct Proceedings of the 1...· 0 citations
Design systems are widely used to ensure consistency and scalability in modern UI development, yet translating design artifacts into system-aligned code remains challenging. Developers must interpret visual designs and map them to appropriate components and implementation details, often relying on external documentatio...
Surbhi Rajpal, Andreas Riener· Message Understanding Confer...· 0 citations
This workshop explores how Human-Centered XAI and the Question-Driven Design framework can be used to systematically discover user explainability needs for AVs, creating a shared resource that can guide future research, UI design, and evaluation of explainable automated driving systems.
Krishna Sahithi Karur, Andreas Riener, Philipp Wintersberger et al.· Adjunct Proceedings of the 1...· 0 citations
Passenger comfort is emerging as a key challenge for the successful deployment and public acceptance of highly automated vehicles. Existing research has examined individual comfort determinants, including vehicle dynamics, driving style, trust, perceived safety, and human-machine interaction (HMI), although these facto...
Andreas Riener, P. Pretto, J. Sodnik et al.· Adjunct Proceedings of the 1...· 0 citations
The transition toward highly automated vehicles is primarily driven by safety and efficiency, often overlooking subjective aspects of driving such as enjoyment, emotional engagement, and the pleasure of driving itself. These factors remain central to the mobility experience of drivers. We evaluate a context-sensitive,...
A. Remlinger, Alice Rollwagen, Andreas Riener· Adjunct Proceedings of the 1...· 0 citations
Professional truck drivers represent a critical yet under-researched user group of automotive human-machine interfaces (HMIs). Adaptive HMIs support decision-making in demanding driving contexts. However, research on adaptive truck HMIs remains limited, particularly regarding adequate user control for expert drivers. T...
Anna Eckl, Lena Stütz, Lara Follert et al.· Proceedings of the 18th Inte...· 0 citations
A scalable framework for Constrained AI-Assembled Graphical User Interfaces (GUIs) that dynamically assembles the interface at runtime from a pre- validation library of components using an LLM is proposed.
Akshil Shah, Sebastian Zepf, Andreas Riener· Proceedings of the 18th Inte...· 0 citations
The findings indicate that AI integration generally enhances diagnostic performance, but also introduced a 7% automation bias rate, quantified as the number of accepted negative consultations, where a previously correct independent assessment gets overturned by inaccurate AI guidance.
Emely Rosbach, J. Ammeling, J. Ganz et al.· Machine Learning for Biomedi...· 6 citations· ⚡1
As automated vehicles (AVs) are increasingly deployed in real-world environments, users often do not understand what decisions their vehicles are making, or why. Explainable AI (XAI) offers a promising path toward transparency, yet most existing approaches remain algorithm-centric and inaccessible to end users. This wo...
Krishna Sahithi Karur, Andreas Riener, Philipp Wintersberger et al.· Adjunct Proceedings of the 1...· 0 citations
This review aims to identify cognitive biases and their modes of manifestation in human-computer interaction within pathology and to extrapolate potential manifestations of biases not yet explored in this domain but reported in HCIs across other medical specialties.
Emely Rosbach, J. Ammeling, Christof A. Bertram et al.· Veterinary Pathology-Supplem...· 0 citations
It is suggested that AI-supported workflows can improve developer experience by reducing ambiguity in design interpretation while maintaining the need for human validation and documentation support.
Surbhi Rajpal, Andreas Riener· Message Understanding Confer...· 0 citations
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