text: 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.
  @cite_9: 
  @cite_6: When people interact with communication robots in daily life, their attitudes and emotions toward the robots affect their behavior. From the perspective of robotics design, we need to investigate the influences of these attitudes and emotions on human-robot interaction. This paper reports our empirical study on the relationships between people's attitudes and emotions, and their behavior toward a robot. In particular, we focused on negative attitudes, anxiety, and communication avoidance behavior, which have important implications for robotics design. For this purpose, we used two psychological scales that we had developed: negative attitudes toward robots scale (NARS) and robot anxiety scale (RAS). In the experiment, subjects and a humanoid robot are engaged in simple interactions including scenes of meeting, greeting, self-disclosure, and physical contact. Experimental results indicated that there is a relationship between negative attitudes and emotions, and communication avoidance behavior. A gender effect was also suggested.
  @cite_8: This paper describes the use of the Negative Attitudes Towards Robots Scale (NARS) to explain participants' evaluations of robot behaviour styles in a Human-Robot Interaction (HRI) study. Twentyeight participants interacted with a robot in two experimental conditions in which the robot’s behaviour was varied. Reliability analysis and a PCA was performed on the NARS items, creating three new subscales. Correlations between the subscales and other evaluations of the robot's behaviour found meaningful results, supporting the use of the NARS in English speaking samples.
summary: Other scales measure people's perceptions of robots during an interaction, e.g. in @cite_6 @cite_8 , which studied the effect of people's general attitudes and emotions such as technophobia or social anxiety on the interaction outcomes. Nonetheless, solely using questionnaires and scales make these metrics entirely subjective, not considering factors such as the presence of faults in the robot system. Ideally, both objective and subjective metrics should be added to a study @cite_9 .