Virtual shadow rendering for maintaining situation awareness in proximal human-robot teaming

Andrew Boateng, Yu Zhang

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

Abstract

One focus of augmented reality (AR) in robotics has been on enriching the interface for human-robot interaction. While such an interface is often made intuitive to interact with, it invariably imposes novel objects into the environment. In situations where the human already has a focus, such as in a human-robot teaming task, these objects can potentially overload our senses and lead to degraded teaming performance. In this paper, we propose using AR objects to solely augment natural objects to avoid disrupting our natural senses while adding critical information about the current situation. In particular, our case study focuses on addressing the limited field of view of humans by incorporating persistent virtual shadows of robots for maintaining situation awareness in proximal human-robot teaming tasks.

Original languageEnglish (US)
Title of host publicationHRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages494-498
Number of pages5
ISBN (Electronic)9781450382908
DOIs
StatePublished - Mar 8 2021
Externally publishedYes
Event2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 - Virtual, Online, United States
Duration: Mar 8 2021Mar 11 2021

Publication series

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

Conference

Conference2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period3/8/213/11/21

Keywords

  • Augmented reality
  • Human-robot interaction
  • Virtual shadow

ASJC Scopus subject areas

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

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