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Effects of Human Personal Space on the Robot Obstacle Avoidance Behavior: A Human-in-the-loop Assessment
Human AI Robot Teaming (HART)
DescriptionTo ensure both the physical and mental safety of humans during human-robot interaction, the notion of socially acceptable robot behaviors has arisen. It requires the motion of robots not only to be collision-free but also to respect the social conventions developed in the human social contexts. Among these social conventions, personal space, or proxemics, is one of the most commonly considered in the robot behavioral design. Nevertheless, most previous research efforts assumed that robots could generate human-like motions by merely mimicking a human. Rarely are the robot’s behavioral algorithms assessed and verified by human participants. To fill the research gap, a Turing-like test, which contains the interaction of two agents (each agent could be a human or a robot) was conducted. Participants were asked to identify and label the category of those agents. In general, the experiment confirmed that by considering personal space, robots could demonstrate more human-like motion behaviors.