Title :
Who Should I Blame? Effects of Autonomy and Transparency on Attributions in Human-Robot Interaction
Author :
Kim, Taemie ; Hinds, Pamela
Author_Institution :
Media Lab., Massachusetts Inst. of Technol., Cambridge, MA
Abstract :
As autonomous robots collaborate with people on tasks, the questions "who deserves credit?" and "who is to blame?" are no longer simple. Based on insights from an observational study of a delivery robot in a hospital, this paper deals with how robotic autonomy and transparency affect the attribution of credit and blame. In the study, we conducted a 2times2 experiment to test the effects of autonomy and transparency on attributions. We found that when a robot is more autonomous, people attribute more credit and blame to the robot and less toward themselves and other participants. When the robot explains its behavior (e.g. is transparent), people blame other participants (but not the robot) less. Finally, transparency has a greater effect in decreasing the attribution of blame when the robot is more autonomous
Keywords :
mobile robots; service robots; autonomous robots; delivery robot; human-robot interaction; robotic autonomy; robotic transparency; Collaboration; Collaborative work; Engineering management; Hospitals; Human robot interaction; Laboratories; Medical robotics; Navigation; Service robots; Testing;
Conference_Titel :
Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on
Conference_Location :
Hatfield
Print_ISBN :
1-4244-0564-5
Electronic_ISBN :
1-4244-0565-3
DOI :
10.1109/ROMAN.2006.314398
