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Evolving Trust in Robots: Specification Through Sequential and Comparative Meta-Analyses
P A Hancock1,2, Theresa T Kessler1, Alexandra D Kaplan1
16243University of Central Florida, Orlando, USA.
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).
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.
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