Human-Robot Interaction in Health Care: Focus on Human Factors

Author(s):  
Lisanne Kremer ◽  
Sumona Sen ◽  
Monika Eigenstetter
2017 ◽  
Vol 02 (03) ◽  
pp. 1740008 ◽  
Author(s):  
Ioannis Georgilas ◽  
Giulio Dagnino ◽  
Sanja Dogramadzi

This paper presents a safety analysis of a Robotic Fracture Surgery System using the Systems-Theoretic Process Analysis (STPA). It focuses particularly on hazards caused by the human in the loop. The robotic system and operating staff are modeled including information flow between different components of the system. The analysis has generated a set of requirements for the system design that can ultimately mitigate the identified hazards, as well as a preliminary set of human factors that can improve safety.


2021 ◽  
Vol 8 ◽  
Author(s):  
Connor Esterwood ◽  
Lionel P. Robert

Robots have become vital to the delivery of health care and their personalities are often important to understanding their effectiveness as health care providers. Despite this, there is a lack of a systematic overarching understanding of personality in health care human-robot interaction. This makes it difficult to understand what we know and do not know about the impact of personality in health care human-robot interaction (H-HRI). As a result, our understanding of personality in H-HRI has not kept pace with the deployment of robots in various health care environments. To address this, the authors conducted a literature review that identified 18 studies on personality in H-HRI. This paper expands, refines, and further explicates the systematic review done in a conference proceedings [see: Esterwood (Proceedings of the 8th International Conference on Human-Agent Interaction, 2020, 87–95)]. Review results: 1) highlight major thematic research areas, 2) derive and present major conclusions from the literature, 3) identify gaps in the literature, and 4) offer guidance for future H-HRI researchers. Overall, this paper represents a reflection on the existing literature and provides an important starting point for future research on personality in H-HRI.


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