Research areas in the usability and user experience of assistive technologies for motor disability: a scientometric analysis

Abstract

Introduction: Assistive Technologies (AT) designed for individuals with motor disabilities face challenges related to their usability and user experience (UX). Proper evaluation of these aspects is essential to ensure their effectiveness, acceptance, and adoption in real-world contexts. Objective: To identify and analyze the most relevant research areas in the assessment of usability and UX of AT aimed at individuals with motor disabilities, through a scientometric analysis of scientific production over the past decade. Method: A literature review of 184 articles indexed in Web of Science and PubMed (2014–2024) was conducted, using the GQM (Goal-Question-Metric) approach, PICOC criteria, and algorithm-based analysis in MATLAB, with visualization in Gephi. Results: Eight research areas were identified, focusing on topics such as robotic innovation, personalization, participatory design, and the development of interaction systems, among others. Trends highlight the importance of user-centered approaches, technological customization, and multidimensional evaluation. Conclusion: The study revealed the need to integrate both technical and subjective dimensions in the design of AT. Participatory methodologies, longitudinal evaluations, and the integration of emerging technologies are recommended to ensure devices that are functional and emotionally meaningful.