Perceived Safety in Physical Human Robot Interaction -- A Survey
Matteo Rubagotti, Inara Tusseyeva, Sara Baltabayeva, Danna Summers,, Anara Sandygulova

TL;DR
This survey reviews perceived safety in physical human-robot interaction, covering assessment methods, system categories, and factors influencing safety perception, highlighting current trends and research directions in autonomous systems sharing space with humans.
Contribution
It provides a comprehensive overview of perceived safety concepts, assessment techniques, and the influence of system characteristics across various autonomous platforms.
Findings
Multiple assessment methods are used to evaluate perceived safety.
System motion and features significantly influence safety perception.
Trends over time indicate evolving focus areas in safety research.
Abstract
This review paper focuses on different aspects of perceived safety for a number of autonomous physical systems. This is a major aspect of robotics research, as more and more applications allow human and autonomous systems to share their space, with crucial implications both on safety and on its perception. The alternative terms used to express related concepts (e.g., psychological safety, trust, comfort, stress, fear, and anxiety) are listed and explained. Then, the available methods to assess perceived safety (i.e., questionnaires, physiological measurements, behavioral assessment, and direct input devices) are described. Six categories of autonomous systems are considered (industrial manipulators, mobile robots, mobile manipulators, humanoid robots, drones, and autonomous vehicles), providing an overview of the main themes related to perceived safety in the specific domain, a…
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