  To design trustworthy robots, we need to understand the impact factors of
trust: people's attitudes, experience, and characteristics; the robot's
physical design, reliability, and performance; a task's specification and the
circumstances under which it is to be performed, e.g. at leisure or under time
pressure. As robots are used for a wide variety of tasks and applications,
robot designers ought to be provided with evidence and guidance, to inform
their decisions to achieve safe, trustworthy and efficient human-robot
interactions. In this work, the impact factors of trust in a collaborative
manufacturing scenario are studied by conducting an experiment with a real
robot and participants where a physical object was assembled and then
disassembled. Objective and subjective measures were employed to evaluate the
development of trust, under faulty and non-faulty robot conditions, and the
effect of previous experience with robots, and personality traits. Our findings
highlight differences when compared to other, more social, scenarios with
robotic assistants (such as a home care assistant), in that the condition
(faulty or not) does not have a significant impact on the human's perception of
the robot in terms of human-likeliness, likeability, trustworthiness, and even
competence. However, personality and previous experience do have an effect on
how the robot is perceived by participants, even though that is relatively
small.
