  Research in social robotics is commonly focused on designing robots that
imitate human behavior. While this might increase a user's satisfaction and
acceptance of robots at first glance, it does not automatically aid a
non-expert user in naturally interacting with robots, and might actually hurt
their ability to correctly anticipate a robot's capabilities. We argue that a
faulty mental model, that the user has of the robot, is one of the main sources
of confusion. In this work we investigate how communicating technical concepts
of robotic systems to users affects their mental models, and how this can
increase the quality of human-robot interaction. We conducted an online study
and investigated possible ways of improving users' mental models. Our results
underline that communicating technical concepts can form an improved mental
model. Consequently, we show the importance of consciously designing robots
that express their capabilities and limitations.
