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Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling

Wonjoon Kim1, Nayoung Kim2, Joseph B Lyons3

  • 1Department of Industrial & Management Engineering, Sungkyul University, South Korea.

Applied Ergonomics
|March 17, 2020
PubMed
Summary

Trust in human-robot interaction (HRI) is influenced by robot characteristics like ability and integrity, which impact trustworthiness. These factors are crucial for developing reliable human-robot collaboration in various applications.

Keywords:
Amazon's mechanical turkAutonomous guard robotHuman-robot interactionStructural equation modellingTrustworthiness

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Area of Science:

  • Robotics and Human-Computer Interaction
  • Psychology of Technology
  • Artificial Intelligence Ethics

Background:

  • Trust is a critical component for successful human-robot interaction (HRI).
  • Understanding the factors influencing trust is essential for designing effective and acceptable robotic systems.
  • Existing models often lack a comprehensive examination of the interplay between human-robot characteristics and perceived trustworthiness.

Purpose of the Study:

  • To propose and test a structural equation model (SEM) of factors influencing trust in HRI.
  • To identify key determinants of trustworthiness, including human-likeness, intelligence, perfect automation schema (PAS), and affect.
  • To investigate the mediating role of integrity and the impact of ability on trust.

Main Methods:

  • Utilized a structural equation model (SEM) to analyze hypothesized relationships.
  • Employed a video stimulus of an autonomous guard robot interacting with humans.
  • Recruited 233 participants through Amazon's Mechanical Turk for data collection.

Main Results:

  • Human-related and robot-related metrics significantly influence trustworthiness, which in turn affects trust in HRI.
  • Robot 'ability' was identified as a dominant factor directly impacting trust.
  • Integrity mediated the relationship between robot/human metrics and trustworthiness, while intelligence and PAS correlated with trustworthiness.

Conclusions:

  • Robot ability and integrity are key drivers of trustworthiness, directly impacting user trust in human-robot interaction.
  • The findings provide a nuanced understanding of trust formation in HRI, highlighting the importance of specific robot attributes.
  • Implications for designing trustworthy autonomous systems and advancing HRI theory and practice.