Automated Planning for Peer-to-peer Teaming and its Evaluation in Remote Human-Robot Interaction

Vignesh Narayanan, Yu Zhang, Nathaniel Mendoza, Subbarao Kambhampati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Human factor studies on remote human-robot interaction are often restricted to various forms of supervision, in which the robot is essentially being used as a smart mobile manipulation platform with sensing capabilities. In this study, we investigate the incorporation of a general planning capability into the robot to facilitate peer-to-peer human-robot teaming, in which the human and robot are viewed as teammates that are physically separated. One intriguing question is to what extent humans may feel uncomfortable at such robot autonomy and lose situation awareness, which can potentially reduce teaming performance. Our results suggest that peer-to-peer teaming is preferred by humans and leads to better performance. Furthermore, our results show that peer-to-peer teaming reduces cognitive loads from objective measures (even though subjects did not report this in their subjective evaluations), and it does not reduce situation awareness for short-term tasks.

Original languageEnglish (US)
Title of host publicationHRI 2015 - Proceedings of the 2015 ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts
PublisherIEEE Computer Society
Pages161-162
Number of pages2
ISBN (Electronic)9781450333184
DOIs
StatePublished - Mar 2 2015
Event10th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2015 - Portland, United States
Duration: Mar 2 2015Mar 5 2015

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume02-05-March-2015
ISSN (Electronic)2167-2148

Other

Other10th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2015
Country/TerritoryUnited States
CityPortland
Period3/2/153/5/15

Keywords

  • Autonomous robot capabilities
  • Robot design principles
  • Teamwork and group dynamics
  • User study/Evaluation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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