  Increasing amounts of sensor-augmented research objects have been used in
design research. We call these objects Data-Enabled Objects, which can be
integrated into daily activities capturing data about people's detailed
whereabouts, behaviours and routines. These objects provide data perspectives
on everyday life for contextual design research. However, data-enabled objects
are still computational devices with limited privacy awareness and nuanced data
sharing. To better design data-enabled objects, we explore privacy design
spaces by inviting 18 teams of undergraduate design students to re-design the
same type of sensor-enabled home research camera. We developed the Connected
Peekaboo Toolkit (CPT) to support the design teams in designing, building, and
directly deploying their prototypes in real home studies. We conducted Thematic
Analysis to analyse their outcomes which led us to interpret that privacy is
not just an obstacle but can be a driver by unfolding an exploration of
possible design spaces for data-enabled objects.
