Ergonomic Evaluation Methods for Hand Exoskeleton Prototypes: A Scoping Study

Open Access
Article
Conference Proceedings
Authors: Rui RibeiroCelina LeãoSusana CostaVinícius Silva
Abstract

Hand function is essential for daily activities, but neurological, muscular, and environmental limitations can impede hand mobility. Robotic hand exoskeletons offer promising assistance for these impairments, though a standardised evaluation method for their effectiveness is lacking. This study addresses this gap by conducting a scoping review to explore current ergonomic evaluation methods for hand exoskeleton prototypes. The primary objective is to identify and analyse the tests used to assess technical performance and user experience, aiming to establish a comprehensive framework for future assessments. A research question guided the research: “What ergonomic evaluation tests are applied to assess the performance and effectiveness of hand exoskeleton prototypes for assisting with daily tasks?” The review analysed diverse evaluation methods, including physiological, kinematic, and kinetic metrics, alongside subjective user surveys. Usability assessments evaluate safety, comfort, and overall experience, while biomechanical testing explores muscle activity and range of motion, with electromyography (EMG) used to compare muscle activity with and without exoskeleton support. The study emphasises the need for a comprehensive and standardised approach to evaluate hand exoskeletons, integrating technical performance and user experience metrics to ensure effective and user-friendly designs.

Keywords: Hand Exoskeletons, Ergonomic Evaluation, Usability Assessment, User Experience

DOI: 10.54941/ahfe1005872

Cite this paper
Downloads
510
Visits
1181
Download PDF

More from this volume

Wide-Angle Thermal Sensing for Personalized Climate Control: An Infrared Fisheye Camera Approach in Commuter VehiclesShaping the Future of Physical Retail: Insights into Global Consumer Experiences
View all articles in Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems