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This meta-analysis explores factors influencing human trust in robots, expanding on prior research. Findings identify key human, robot, and contextual elements crucial for effective human-robot interaction (HRI).

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Artificial Intelligence Ethics

Background:

  • Human-robot interaction (HRI) is a growing field with trust being a critical component.
  • Trust in robots is influenced by human, robot, and contextual factors.
  • Existing research provides a foundation, but an updated analysis is needed.

Purpose of the Study:

  • To conduct a meta-analysis on the antecedents of trust in robots.
  • To expand upon and update a previous meta-analytic review of HRI trust.
  • To identify and categorize factors influencing trust in robots.

Main Methods:

  • Systematic review and meta-analysis of existing literature on trust in robots.
  • Inclusion of qualifying articles to update a previous meta-analysis.
  • Examination of human-related, robot-related, and contextual factors.

Main Results:

  • Identified multiple additional factors significantly influencing trust in robots.
  • Validated overarching categories of trust antecedents: human-related, robot-related, and contextual.
  • Highlighted differences and commonalities with previous meta-analyses.

Conclusions:

  • The study confirms and refines the categories of trust antecedents in HRI.
  • Identified specific precursors to trust within each category.
  • Proposed a new, updated model for understanding human-robot trust dynamics.