Computational Model of Anthropomorphism for Human-Robot Interaction
Anthropomorphism is one of the most extensively studied topics in HRI. Various factors were reported as affecting the degree to which a robot is perceived as human-like. However, our knowledge of this phenomenon is segmented as there is lack of a comprehensive model of anthropomorphism that could consistently explain these findings. I propose a preliminary model of anthropomorphism that is based on the reverse process to anthropomorphization, known as dehumanization. I hypothesize that the same attributes that people deprive dehumanized others can be used to affect robots anthropomorphism. Since embodiment of a robot can influence what and how these factors can be implemented, the ultimate goal of my research is to propose a method for applying the model of anthropomorphism to different types of robots. Moreover, the impact of interaction stage and context on the model will be explored.
