Towards adaptive AR interfaces for passengers of autonomous urban air mobility vehicles: analyzing the impact of fight phases and visibility conditions on user experience through simulation

This work compares four possible designs of Augmented Reality (AR) interfaces for passengers of an Autonomous Aerial Vehicle (AAV) envisioned as an air taxi in the Urban Air Mobility (UAM) context. The four designs were evaluated and compared through a video-based study considering two potentially influential factors: flight phases (namely takeoff, cruise, and landing) and visibility conditions (i.e. clear daylight, night, and foggy). Dimensions included in the analysis were perceived safety, anxiety, situational awareness, cognitive workload, trust, predictability, and preference. The results showed that preferred interface by the passengers may vary depending on the considered combination of the two factors.