Automotive user interfaces and automated vehicle technology pose numerous challenges to support all diverse facets of user needs. These range from inexperienced, thrill-seeking, young novice drivers to elderly drivers with a mostly opposite set of preferences together with their natural limitations. To allow assessing the (hedonic) quality of automotive user interfaces and automated driving technology (i. e., UX) already during development, the proposed workshop is dedicated to the quest of finding objective, quantifiable criteria to describe future driving experiences. The workshop is intended for HCI, AutomotiveUI, and “Human Factors” researchers and practitioners as well for designers and developers. In adherence to the conference main topic “Interaktion – Verbindet – Alle”, this workshop calls in particular for contributions in the in the areas of human factors and ergonomics (user acceptance, trust, user experience, driving fun, natural user interfaces, etc.) with focus on hedonic quality and design of user experience to enhance the safety feeling in ADS.

With further development of automation, more responsibilities will be transferred from users to technology. Consequently, algorithms of highly automated vehicles should be programmed to behave similarly to the affect- and intuition-based reasoning of human drivers. This includes making decisions in various exceptional circumstances, such as moral dilemmas. We assume that the perceived quality of a holistic driving experience is dependent on the accordance of vehicles’ moral and ethical decisions with users’ expectations concerning values and attitudes. In this work, we discuss implementation strategies for moral behavior in automated driving systems in order to fulfill users’ needs and match their values. The reported findings are based on data from an online survey (n=330). We investigated how subjects assess moral decisions and the overall product experience. Initial results show tendencies among subjects in accepting a decision over life and death and significant dependencies concerning the overall product perception.

Durch den technischen Fortschritt in der Spracherkennung und -verarbeitung wird Sprache als Interaktionsform auch in Fahrzeugen, z.B. zur Bedienung von Infotainmentsystem, immer populärer. Die Steuerung von teilautomatisierten Fahrzeugen über Sprache ist bisher wenig erforscht. Ziel dieser Arbeit ist es unter der grundsätzlichen Annahme der Eignung von Sprachsteuerung für teilautonome Fahrzeuge, Nut-zererwartungen und spezielle Anforderungen an eine Sprachsteuerung für die grundlegenden Fahrmanöver zu identifizieren. Aus den Ergebnissen eines Expertenworkshops und einer explorativen Videostudie werden Anforderungen und Sprachkommandos abgeleitet.

Semi-automated and autonomous cars create new use cases for external displays. Such displays have the potential to provide information about the intentions of an autonomously moving vehicle or indicate the car’s status (manual vs. automated driving). A major challenge is that in-situ studies for evaluating external car displays are not possible yet, since as of now, cars featuring complex external displays are not established on public roads. Autonomous driving prototypes are costly and could provoke risky situations in the wild. Hence, a well thought out design is important. The user-centered design process seems to be a suitable methodology to achieve high usability. This HCI-tool proofed effectiveness in other research areas and could provide valuable contributions towards the development of external car displays. However, in order to use the process it needs to be applied to the context specific challenges. Open research questions are (1) identifying users’ needs and goals regarding external car displays and (2) developing an user-centered, design based toolkit to satisfy those. This paper aims at indicating open hallenges as well as possible solutions. Presented research opportunities and suggestions are meant to be discussed within a workshop. The long-term goal is to acquire best practices for researchers and practitioners in order to develop safe and usable applications for external car displays.

Öffentliche Diskussionen zum autonomen Fahren zeigen einen hohen Anspruch, dass die Algorithmen in kritischen Fällen Entscheidungen nach ethischen Kriterien fällen. Diese für die Vielzahl von denk-baren Verkehrssituationen so zu erfassen, dass sie den Vorstellungen eines größten Teils der Bevölke-rung entspricht, stellt eine große methodische Herausforderung dar. In dieser Arbeit wird untersucht, in wie weit eine überlegte Entscheidung mit dem Verhalten in einem Fahrsimulator übereinstimmt. Dabei wird bei einem großen Teil der Teilnehmer*innen ein Widerspruch zwischen geäußertem beab-sichtigtem Handeln und tatsächlichem Handeln offenbar.