Towards an Adaptive User Monitoring Based on Personality and Activity Recognition

Abstract

A robot system that coexists with humans has to adapt its behavior and social interaction parameters not only with respect to the task it is supposed to accomplish but also to the human users' habits, actions, and personality. This is particularly relevant in the domain of assistive robotics and when working with vulnerable people. In this work, we present a pilot study aiming at evaluating if the users' personality and activity they are currently performing affect the perception of comfortable distances of an approaching robot.