A framework for the evaluation of human machine interfaces of robot-assisted colonoscopy

The Human Machine Interface (HMI) of intraluminal robots has a crucial impact on the clinician's performance. It increases or decreases the difficulty of the tasks, and is connected to the users' physical and mental stress. Objective: This article presents a framework to compare and evalua...

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Detalles Bibliográficos
Autores: Finocchiaro, Martina, Banfi, Tommaso, Donaire Cónsul, Sònia, Arezzo, Alberto, Guarner Argente, Carlos, Menciassi, Arianna, Casals Gelpí, Alicia|||0000-0003-4706-5533, Ciuti, Gastone, Hernansanz Prats, Alberto|||0000-0002-7969-5401
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/400245
Acceso en línea:https://hdl.handle.net/2117/400245
https://dx.doi.org/10.1109/TBME.2023.3301741
Access Level:acceso abierto
Palabra clave:Human-machine systems
Colonoscopy
Human machine interface
Robotic colonoscopy
Medical simulation
Intraluminal robots
Sistemes persona-màquina
Colonoscòpia
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Ciències de la salut::Medicina
Descripción
Sumario:The Human Machine Interface (HMI) of intraluminal robots has a crucial impact on the clinician's performance. It increases or decreases the difficulty of the tasks, and is connected to the users' physical and mental stress. Objective: This article presents a framework to compare and evaluate different HMIs for robotic colonoscopy, with the objective of identifying the optimal HMI that minimises the clinician's effort and maximises the clinical outcomes. Methods: The framework comprises a 1) a virtual simulator (clinically validated), 2) wearable sensors measuring the cognitive load, 3) a data collection unit of metrics correlated to the clinical performance, and 4) questionnaires exploring the users' impressions and perceived stress. The framework was tested with 42 clinicians investigating the optimal device for tele-operated control of robotic colonoscopes. Two control devices were selected and compared: a haptic serial-kinematic device and a standard videogame joypad. Results: The haptic device was preferred by the endoscopists, but the joypad enabled better clinical performance and reduced cognitive and physical load. Conclusion: The framework can be used to evaluate different aspects of a HMI, both hardware and software, and determine the optimal HMI that can reduce the burden on clinicians while improving the clinical outcome. Significance: The findings of this study, and of future studies performed with this framework, can inform the design and development of HMIs for intraluminal robots, leading to improved clinical performance, reduced physical and mental stress for clinicians, and ultimately better patient outcomes.