Evaluating User Experience and Satisfaction Levels of Healthy Individuals Using the Armeo Spring for Rehabilitation: A Cross-Sectional Study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Rehabilitation technologies are increasingly being used to enhance user engagement and improve outcomes. The Armeo Spring is a robotic rehabilitation device designed to support upper limb therapy. This study evaluates user experience and satisfaction among healthy individuals using the Armeo Spring, aiming to provide insights into its usability and potential for enhancing rehabilitation outcomes.Methods: A cross-sectional study was conducted with 100 healthy participants aged 18–65 years at the Occupational Therapy Department, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia. Participants engaged in a structured session using the Armeo Spring, followed by completion of a questionnaire assessing ease of use, perceived functionality, satisfaction, and engagement. Demographic variations and feedback were analyzed to identify key features and areas for improvement.Results: Participants reported high levels of satisfaction, with usability and engagement identified as critical factors influencing their positive experience. Comfort and perceived effectiveness were rated highly, while some participants suggested improvements in device adaptability and ergonomics. Key features, such as adjustable support and interactive exercises, were highlighted as particularly beneficial.Conclusions: The Armeo Spring demonstrates significant potential for enhancing rehabilitation experiences through its innovative features. However, targeted refinements in design could further improve user satisfaction. These findings underscore the importance of user-centered feedback in advancing rehabilitation technologies and inform future research and device development.
Authors: Meshal AlAnazi, Paramasivan Mani
Language: English
Subfield: Rehabilitation
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7216645357