TY - THES A1 - Preiwisch, Anna Katharina T1 - Evaluating explainable interfaces of current automated driving systems BT - Insights from tech-savvy, experienced drivers N2 - The rapid development of automated driving (AD) technologies holds great promise for transforming transportation by enhancing road safety, traffic efficiency, and urban planning. Despite there“s already extensive research about trust in Automated Driving Systems (ADS) and improving human-machine communication, most studies have been conducted in simulator environments due to the limited availability of automated vehicles, particularly those classified as SAE Levels 3-5. This study addresses this gap by gathering deep insights from tech-savvy, experienced drivers who have interacted with automated vehicles (AVs) on real roads. Using a qualitative approach with semi-structured in-depth interviews and a focus group discussion, this work explored the concepts of trust, explainability, user experience, and acceptance in real-world settings. The findings highlight the long-term effects of these concepts and include suggestions for improvements mentioned by tech-savvy, experienced drivers. The topics of cybersecurity, flawless control systems, acceptance, harassment by strangers, error communication, concerns regarding privacy and behavior in emergency cases have emerged as particularly relevant here. Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-50938 CY - Ingolstadt ER -