Can't You See I Am Bothered? Human-inspired Suggestive Avoidance for Robots

Abstract

We studied how robots could stop people from repeatedly obstructing them by using reactions that people commonly use. From 35 hours of observation of people in a shopping mall, we identified one commonly used reaction, which we named suggestive avoidance. It consists of making a quick movement to the side while rotating the body and gaze toward the obstructing person, in a way that seems to imply that they were bothered by the obstruction. We modeled the human suggestive avoidance behavior, implemented it on a robot, and tested it both in a lab experiment and a field study. The results from the lab study confirmed that people perceive a robot using suggestive avoidance as being more bothered, as well as more human-like. The field study showed that when a robot uses suggestive avoidance people are less likely to bother it again.