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Automotive user interfaces pose numerous challenges to support a diverse range of user needs [1]. This is especially true when it comes to technology for vehicle automation, which is connected to – often widely – different expectations, depending on experience, demographics, amongst others. Automated vehicles are eventually expected to be used by both experienced and inexperienced drivers, drivers with high versus low technology affinity, or by thrill-seeking, young novice drivers as well as elderly drivers [2] with a mostly opposite set of preferences together with their natural limitations [3]. From a usercentered perspective, it is a spectrum composed of opposites, which translates into a number of design challenges that will need to be addressed eventually. Implementation-wise, the automotive industry is currently focusing on pushing in-vehicle technology towards fully automated driving, with tech companies joining these efforts to raise the technology to the readiness level as quickly as possible. Consequently, commercial research toward automated driving systems (ADS) is mainly focusing on an innovation-driven and technology-centered perspective, frequently focusing on novelty-related factors. Aspects such as user experience (UX), acceptance, and trust [4, 5] are often neglected or reduced to a secondary status and, thus, under-researched. However, these human factors are critical for a comprehensive and long-term establishment of ADS technology on both the market and within society. Therefore, it is of utmost importance to understand all the factors in the (context of automation) that have an impact on the overall UX of and within an auto-

Guest Editors Introduction to the Special Issue “User-Centered Design for Automated Vehicles: HMIs, User Needs, and Preferences”