Human-Computer Interaction research increasingly focuses on long-term evaluation of real-world field
deployments. This includes challenging tasks such as observing usage behavior for longer periods of time and
in a 24/7 manner. Existing methods such as in-situ observations and manual video analysis hardly provide means
to cope with these tasks adequately. Automated evaluation techniques, using different kinds of sensor hardware
including body tracking cameras, have been used in recent studies to capture usage behavior in long-term
evaluations more efficiently. In this workshop we aim to gather and discuss the state of the art regarding this
development as well as outline future perspectives. Topics for discussion are, for example, existing methods and
tools, noise and errors in sensor data, best practices for the correlation of automated observations with ground
truth data, field work (e.g., interviews and observations) for the contextualization of findings, ethical concerns,
and automated approaches for detecting patterns in data. We expect the outcome of this workshop to be twofold:
firstly, we aim at providing insights on how the field is currently evolving and, secondly, we intend to envision
guidance on how to advance from there practically and methodologically.

More details will be added to this page once the workshop proceeds into the next stage of planning.