The Role of Trust in Human-Robot Interaction: A Perspective on Factors Influencing Trust Development

Trust is a fundamental determinant of successful human-robot interaction (HRI), shaping user acceptance, reliance, and collaboration with robotic systems. This paper examines trust development in HRI through the lens of Social Exchange Theory (SET), emphasizing key influencing factors such as reliability, transparency, predictability, and social behavior. Trust plays a pivotal role in various domains, including healthcare, manufacturing, and autonomous systems, where user confidence in robotic performance is crucial for effective adoption. By analyzing empirical research, this study highlights strategies to foster trust and mitigate challenges associated with human-robot collaboration. Recommendations for designing transparent, consistent, and socially intelligent robotic systems are provided to enhance trust and usability in different sectors.

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Publication Details

Journal
International Research Journal of Innovations in Engineering and Technology
Published
2025-01-01
DOI
https://doi.org/10.47001/irjiet/2025.906013
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Trust in Human-Robot Interaction: A Perspective on Factors Influencing Trust Development

Dapo Adeniyi
International Research Journal of Innovations in Engineering and Technology
Human-Automation Interaction and Safety
article

The Role of Trust in Human-Robot Interaction: A Perspective on Factors Influencing Trust Development

Dapo Adeniyi
article en

Abstract

Trust is a fundamental determinant of successful human-robot interaction (HRI), shaping user acceptance, reliance, and collaboration with robotic systems. This paper examines trust development in HRI through the lens of Social Exchange Theory (SET), emphasizing key influencing factors such as reliability, transparency, predictability, and social behavior. Trust plays a pivotal role in various domains, including healthcare, manufacturing, and autonomous systems, where user confidence in robotic performance is crucial for effective adoption. By analyzing empirical research, this study highlights strategies to foster trust and mitigate challenges associated with human-robot collaboration. Recommendations for designing transparent, consistent, and socially intelligent robotic systems are provided to enhance trust and usability in different sectors.

International Research Journal of Innovations in Engineering and TechnologyVol. 09(06)
ABS Consulting (United States) (US)
Openalex Percentile: Top 82%
Human-Automation Interaction and Safety
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