Exploring preferences in human-robot navigation plan proposal representation

Victor Sanchez-Anguix, Anais Garrell, Alberto Sanfeliu

Abstract: In this paper, we present our focus on unraveling the intricacies of plan negotiation in human-robot collaborative navigation (HRCN) through a comprehensive exploration of human preferences over robot proposals in search tasks. Via online survey data, we explore the multidimensional landscape of diverse plan representations, negotiation contexts and negotiation domains. Our study seeks to identify the crucial factors that exert a significant influence over human perception, shedding light on the dynamic interplay between humans and robots and contributing valuable insights to advance the understanding of effective navigation plan negotiation strategies in human-robot teams (HRT).