  User Experience (UX) professionals need to be able to analyze large amounts
of usage data on their own to make evidence-based design decisions. However,
the design process for In-Vehicle Information Systems (IVIS) lacks data-driven
support and effective tools for visualizing and analyzing user interaction
data. Therefore, we propose ICEBOAT, an interactive visualization tool tailored
to the needs of automotive UX experts to effectively and efficiently evaluate
driver interactions with IVISs. ICEBOAT visualizes telematics data collected
from production line vehicles, allowing UX experts to perform task-specific
analyses. Following a mixed methods User-centered design (UCD) approach, we
conducted an interview study (N=4) to extract the domain specific information
and interaction needs of automotive UX experts and used a co-design approach
(N=4) to develop an interactive analysis tool. Our evaluation (N=12) shows that
ICEBOAT enables UX experts to efficiently generate knowledge that facilitates
data-driven design decisions.
