  Shared automated mobility-on-demand promises efficient, sustainable, and
flexible transportation. Nevertheless, security concerns, resilience, and their
mutual influence - especially at night - will likely be the most critical
barriers to public adoption since passengers have to share rides with strangers
without a human driver on board. As related work points out that information
about fellow travelers might mitigate passengers' concerns, we designed two
user interface variants to investigate the role of this information in an
exploratory within-subjects user study (N = 24). Participants experienced four
automated day and night rides with varying personal information about
co-passengers in a simulated environment. The results of the mixed-method study
indicate that having information about other passengers (e.g., photo, gender,
and name) positively affects user experience at night. In contrast, it is less
necessary during the day. Considering participants' simultaneously raised
privacy demands poses a substantial challenge for resilient system design.
