Tracking Anthropomorphizing Behavior in Human-Robot Interaction

Existing methodologies to describe anthropomorphism in human-robot interaction often rely either on specific one-time responses robot behavior, such as keeping the robot's secret, or post hoc measures, questionnaires. Currently, there is no method dynamics of people's behavior over course an and response behavior. In this paper, I propose a that allows researcher trace anthropomorphizing non-anthropomorphizing robots dynamically moment-by-moment interactions. illustrate methodology case study find considerable variation between participants, but also intrapersonal ways anthropomorphized. That is, people may respond if it was another human one moment its machine-like properties next. These findings influence explanatory models anthropomorphism.