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

Manolis Chiou; Faye McCabe; Markella Grigoriou; Rustam Stolkin

doi:10.1109/RO-MAN50785.2021.9515476

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 proceeding › Conference 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 language	English
Title of host publication	2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	684-691
Number of pages	8
ISBN (Electronic)	9781665404921
ISBN (Print)	9781665446372 (PoD)
DOIs	https://doi.org/10.1109/RO-MAN50785.2021.9515476
Publication status	Published - 23 Aug 2021
Event	30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021 - Virtual, Vancouver, Canada Duration: 8 Aug 2021 → 12 Aug 2021

Publication series

Name	IEEE RO-MAN
ISSN (Print)	1944-9445
ISSN (Electronic)	1944-9437

Conference

Conference	30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021
Country/Territory	Canada
City	Virtual, Vancouver
Period	8/08/21 → 12/08/21

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

Access to Document

10.1109/RO-MAN50785.2021.9515476

chioum2021trust
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Accepted author manuscript, 1.53 MBLicence: Other (please specify with Rights Statement)

https://arxiv.org/abs/2107.00690

Cite this

Chiou, M., McCabe, F., Grigoriou, M., & Stolkin, R. (2021). Trust, shared understanding and locus of control in mixed-initiative robotic systems. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) (pp. 684-691). (IEEE RO-MAN). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/RO-MAN50785.2021.9515476

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Chiou, M, McCabe, F, Grigoriou, M & Stolkin, R 2021, Trust, shared understanding and locus of control in mixed-initiative robotic systems. in 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). IEEE RO-MAN, Institute of Electrical and Electronics Engineers (IEEE), pp. 684-691, 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, Virtual, Vancouver, Canada, 8/08/21. https://doi.org/10.1109/RO-MAN50785.2021.9515476

Trust, shared understanding and locus of control in mixed-initiative robotic systems. / Chiou, Manolis; McCabe, Faye; Grigoriou, Markella et al.
2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN). Institute of Electrical and Electronics Engineers (IEEE), 2021. p. 684-691 (IEEE RO-MAN).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this