Trust, shared understanding and locus of control in mixed-initiative robotic systems

Manolis Chiou, Faye McCabe, Markella Grigoriou, Rustam Stolkin

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

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Abstract

This paper investigates how trust, shared under-standing between a human operator and a robot, and the Locus of Control (LoC) personality trait, evolve and affect Human-Robot Interaction (HRI) in mixed-initiative robotic systems. As such systems become more advanced and able to instigate actions alongside human operators, there is a shift from robots being perceived as a tool to being a team-mate. Hence, the team-oriented human factors investigated in this paper (i.e. trust, shared understanding, and LoC) can play a crucial role in efficient HRI. Here, we present the results from an experiment inspired by a disaster response scenario in which operators remotely controlled a mobile robot in navigation tasks, with either human-initiative or mixed-initiative control, switching dynamically between two different levels of autonomy: teleoperation and autonomous navigation. Evidence suggests that operators trusted and developed an understanding of the robotic systems, especially in mixed-initiative control, where trust and understanding increased over time, as operators became more familiar with the system and more capable of performing the task. Lastly, evidence and insights are presented on how LoC affects HRI.

Original languageEnglish
Title of host publication2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages684-691
Number of pages8
ISBN (Electronic)9781665404921
ISBN (Print)9781665446372 (PoD)
DOIs
Publication statusPublished - 23 Aug 2021
Event30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 - Virtual, Vancouver, Canada
Duration: 8 Aug 202112 Aug 2021

Publication series

NameIEEE RO-MAN
ISSN (Print)1944-9445
ISSN (Electronic)1944-9437

Conference

Conference30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
Country/TerritoryCanada
CityVirtual, Vancouver
Period8/08/2112/08/21

Bibliographical note

Funding Information:
This work was supported by the UKRI-EPSRC grand EP/R02572X/1. 1Extreme Robotics Lab (ERL) and National Center for Nuclear Robotics (NCNR), University of Birmingham, UK

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Human-Robot Interaction
  • Human-Robot Teaming
  • Locus of Control
  • Mixed-Initiative
  • Trust

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Communication
  • Artificial Intelligence

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