Publication

Exploring Preferences in Human-Robot Navigation Plan Proposal Representation

Conference Article

Conference

ACM/IEEE International Conference on Human-Robot Interaction (HRI)

Edition

2024

Pages

369-373

Doc link

https://doi.org/10.1145/3610978.3640627

File

Download the digital copy of the doc pdf document

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).

Categories

robots.

Author keywords

plan negotiation; human-robot negotiation; human-robot collaborative navigation; human-robot collaborative search; task allocation

Scientific reference

M. Dalmasso, V. Sanchez-Anguix, A. Garrell Zulueta, P. Jiménez and A. Sanfeliu. Exploring Preferences in Human-Robot Navigation Plan Proposal Representation, 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, Boulder, CO, USA, pp. 369-373.