Assistive Technologies in Care and Rehabilitation: Research, Developments, and International Initiatives—Second Edition

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Assistive Technologies".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 1685

Special Issue Editor


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Guest Editor
Centre Tisp, Istituto Superiore di Sanità, 00161 Rome, Italy
Interests: biomedical engineering; robotics; artificial intelligence; digital health; rehabilitation; smart technology; cybersecurity; mental health; animal-assisted therapy; social robotics; acceptance; diagnostic pathology and radiology; medical imaging; patient safety; healthcare quality; health assessment; chronic disease
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Special Issue Information

Dear Colleagues,

Following the success of the first edition of our Special Issue—featuring over 20 published contributions —we are pleased to announce the second edition of "Assistive Technologies in Care and Rehabilitation: Research, Developments, and International Initiatives."

[First Edition: https://www.mdpi.com/journal/technologies/special_issues/3JP949711D]
Assistive technologies continue to play an essential role in transforming the landscape of care and rehabilitation, offering innovative pathways to enhance autonomy, communication, mobility, and participation. From wearable sensors to AI-driven robotics, from immersive virtual environments to networked telemedicine systems, these technologies are no longer confined to the laboratory—they are reshaping care delivery in hospitals, homes, and communities.

This second edition aims to deepen and broaden the discussion, with special focus on personalized and person-centered approaches, usability and ethical dimensions, and the interplay between international policy frameworks and technological innovation. Anchored to regulatory and conceptual pillars such as the WHO Global Report on Assistive Technology and the ICF framework, this Special Issue welcomes contributions that bridge the gap between theory and practice, design and implementation, and technology and the lived experience of users.

We invite submissions addressing, but not limited to, the following topics:

  • Integration of robotics, AI, and smart environments in care and rehabilitation;
  • Personalization of assistive devices and adaptive systems;
  • Wearables and mobile technologies supporting autonomy and monitoring;
  • Advances in prosthetics, orthotics, and implantables;
  • Remote care, tele-rehabilitation, and connected health platforms;
  • Communication technologies for people with speech or cognitive impairments;
  • Virtual and augmented reality applications in therapeutic settings;
  • Regulatory challenges, accessibility issues, and equitable access;
  • Implementation of ICF in the design and evaluation of assistive tools;
  • WHO strategies, guidelines, and global action plans;
  • User-centered design, usability studies, and co-creation with end users;
  • Training and digital literacy for healthcare professionals and users;
  • Socio-economic impact, cost-effectiveness, and sustainability;
  • Cross-sector collaborations—research, industry, healthcare, and policy;
  • Ethical, legal, and social implications in assistive tech deployment.

We look forward to contributions from researchers, clinicians, technologists, and policy experts worldwide. Together, we aim to foster a multidisciplinary dialogue that supports the responsible development and dissemination of assistive technologies—advancing not only technical innovation, but also inclusion, dignity, and quality of life.

Sincerely,

Prof. Dr. Daniele Giansanti
Guest Editor

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Keywords

  • assistive technology
  • aid
  • robotics
  • telemedicine
  • digital health
  • artificial intelligence
  • augmentative and alternative communication
  • WHO
  • ICF
  • mhealth
  • ehealth

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Published Papers (2 papers)

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Research

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19 pages, 901 KB  
Article
End-Users’ Perspectives on Implementation Outcomes of Digital Voice Assistants Delivering a Home-Based Lifestyle Intervention in Older Obese Adults with Type 2 Diabetes Mellitus: A Qualitative Analysis
by Costas Glavas, Jiani Ma, Surbhi Sood, Elena S. George, Robin M. Daly, Eugene Gvozdenko, Barbora de Courten, David Scott and Paul Jansons
Technologies 2025, 13(11), 511; https://doi.org/10.3390/technologies13110511 - 9 Nov 2025
Viewed by 664
Abstract
Managing blood glucose levels and adhering to exercise is challenging for older adults with obesity and type 2 diabetes mellitus (T2DM). Digital voice assistants (DVAs) utilising conversation-based interactions and natural language may overcome barriers to accessing home-based lifestyle programs, but end-user perspectives are [...] Read more.
Managing blood glucose levels and adhering to exercise is challenging for older adults with obesity and type 2 diabetes mellitus (T2DM). Digital voice assistants (DVAs) utilising conversation-based interactions and natural language may overcome barriers to accessing home-based lifestyle programs, but end-user perspectives are essential for implementation. This analysis investigated end-user perspectives on implementation outcomes of a DVA-delivered lifestyle program nested within a randomised controlled trial of 50 older adults (aged 50–75 years) with obesity and T2DM (DVA n = 25; control n = 25). Following trial completion, 10 DVA participants (mean ± SD age 67 ± 4 years) completed semi-structured interviews guided by the Practical Planning for Implementations and Scale-up guide and Proctor’s implementation outcome taxonomy. Over half (60%) were willing to pay for the DVA-delivered program, indicating perceived value. DVA audiovisual and conversation-based modalities enhanced engagement and acceptability. Most end-users found the DVA program feasible as a modality for delivering lifestyle programs, but suggested greater personalisation to bolster sustainability. Overall, the intervention was identified as acceptable and appropriate, suggesting digitally delivered programs may be feasible and sustainable for long-term use. Findings should be interpreted cautiously, given the small sample size and short intervention period. Nevertheless, end-users’ suggestions could inform the implementation of digital health interventions into healthcare systems. Full article
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20 pages, 1180 KB  
Systematic Review
A Network-Based Quantitative Analysis of the Societal Impacts of Assistive Technology
by Paulo Alexandre Correia de Jesus, Jordam Wilson Lourenço, Osiris Canciglieri Junior, Ismael Cristofer Baierle and Jones Luís Schaefer
Technologies 2025, 13(11), 506; https://doi.org/10.3390/technologies13110506 - 7 Nov 2025
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Abstract
It is estimated that around 1.3 billion people, roughly 16% of the global population, live with some form of disability, which can be physical, auditory, visual, intellectual, or psychosocial (mental). To help this group overcome daily functional limitations and improve their ability to [...] Read more.
It is estimated that around 1.3 billion people, roughly 16% of the global population, live with some form of disability, which can be physical, auditory, visual, intellectual, or psychosocial (mental). To help this group overcome daily functional limitations and improve their ability to perform activities independently, Assistive Technologies (AT) are used. However, understanding the complex effects of these technologies on users’ lives poses challenges in measurement. This research aims to identify and systematise the impacts caused by AT within society, analysing the relationships among these impacts to offer a comprehensive understanding of their scope. A Systematic Literature Review (SLR) was carried out following the PRISMA protocol, supplemented by association rule analysis using the Apriori algorithm with Weka software. Metrics such as Support, Confidence, and Lift were used to evaluate the associations identified by the algorithm. This analysis revealed fourteen distinct types of impacts, categorised into three groups: User Quality of Life, Social and Psychosocial, and Work Environment and Productivity. The findings demonstrated consistent associations, including Autonomy → Independence, Socioeconomic Status → Social Impact, and Education → Social Impact, indicating interconnected effects of assistive devices across functional, educational, emotional, social, economic, and productivity areas. This study supports the Sustainable Development Goals by promoting the development of AT standardisation tools, guiding more inclusive public policies, and encouraging collaborative networks among stakeholders involved in AT research and development. Full article
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