Mistakes, failures, and transgressions committed by a robot are inevitable as robots become more involved in our society. When a wrong behavior occurs, it is important to understand what factors might affect how the robot is perceived by people. In this paper, we investigated how the type of transgressor (human or robot) and type of backstory depicting the transgressor's mental capabilities (default, physio-emotional, socio-emotional, or cognitive) shaped participants' perceptions of the transgressor's morality. We performed an online, between-subjects study in which participants (N =720) were first intro-duced to the transgressor and its backstory, and then viewed a video of a real-life robot or human pushing down a human. Although participants attributed similarly high intent to both the robot and the human, the human was generally perceived to have higher morality than the robot. However, the backstory that was told about the transgressors' capabilities affected their perceived morality. We found that robots with emotional backstories (i.e., physio-emotional or socio-emotional) had higher perceived moral knowledge, emotional knowledge, and desire than other robots. We also found that humans with cognitive backstories were perceived with less emotional and moral knowledge than other humans. Our findings have consequences for robot ethics and robot design for HRI.

In child-robot collaborations, a robot may fail to accomplish its part of a task. In this situation, the robot is reliant on the child to recover. Inherently prosocial, a child is inclined to help the robot collaborator if the child can properly identify the robot failure and infer how to help correct it. In this study, we investigate how a non-humanoid robot can solicit the help of a child-collaborator using only its motion path. We conducted a study with twenty-two children, ages 3-7, who participated in a collaborative building task with a non-humanoid mobile robot. We found that autonomous motion of a non-humanoid robot elicited prosocial behavior from 59% of children, and that young children were willing to engage with the robot as an animate partner despite its limited capabilities and form. This finding has implications for robot design striving to encourage prosocial behavior in children of different ages.