Abstract-While anthropomorphism in robotics is a commonly discussed trait of HRI, it paradoxically lacks formal grounds. Supported by an extensive literature review, a long-term field study and two other on-going experiments, this report gives a first overview of a formal model of anthromorphism that we are currently building. Going beyond the traditional perception of anthropomorphism as a static feature of a system, we propose to understand anthropomorphism as a dynamic, non-monotonic and context-dependent process, which evolves over time, and has deep cognitive implications.
I. THE DYNAMICS OF ANTHROPOMORPHISMMany robotics researchers tend to believe that anthropomorphism describes a set of human-like features of a robot (like shape, speech capabilities, facial expression). We refer to these characteristics as the anthropomorphic design of the robot [1]. Anthropomorphism, on the other hand, refers to the social phenomenon that emerges from the interaction between a robot and an user. According to Epley et al. [2], this includes for instance emotional states, motivations, intentions ascribed by the user to the robot.So far, the HRI community has not much investigated how anthropomorphism in human-robot interactions evolves over time (during the process of adopting a robot, for instance). Anthropomorphism is traditionally perceived in robotics as a static feature that once observed during a short-term interaction reflects a sustaining social effect. Based on an literature review previously published [1], a long-term field study in a natural environment [3], as well as two on-going childrobot experiments, we believe that anthropomorphic effects do evolve over time in non-monotonic ways, and play a central role in sustaining engagement in human-robot interaction.We propose to formalize these dynamic effects into a model that we call the dynamics of anthromorphism. We hope that it may support further discussions and reflections on how anthromorphism impacts human-robot interaction on the long run, and also foster research on the affective bonds induced by anthorpomorphic projections on robots.As such, we propose to represent how the level of anthropomorphic effects (i.e. observable manifestations of anthropomorphism) evolves over a long-term human-robot interaction (Figure 1). By long-term interaction, we mean direct (nonmediated), repeated interaction with the same robot, over an extended period of time (typically longer than a week).
Three phasesWe distinguish three main phases, depicted in different shades in Figure 1. INITIALIZATION Fig. 1. Dynamics of anthropomorphism. We distinguish three main phases: initialization, familiarization and stabilization, preceded by a pre-interaction phase. In the pre-interaction phase, users build an initial capital of anthropomorphism (ICA). Once the interaction starts, the level of anthropomorphism increases due to the novelty effect [4], and then decreases to reach a stabilized level of anthropomorphism (SLA). During the interaction, unpredicted behaviors of the robot (d...