Assistive Technology:  The Offical Journal of RESNA Artificial Intelligence and Disabilities - Theory, Research and Practice

Assistive Technology:  The Offical Journal of RESNA

The Editors of Assistive Technology are soliciting papers for a special issue that will be devoted to the recent rise in development and research regarding Artificial Intelligence (AI) technologies and their relevancy to promoting quality of life and social inclusion of people with disabilities.

We are interested in manuscripts that will provide empirical data from nationally and internationally, quantitative and qualitative, inter- and multi-disciplinary studies on the impact of AI technologies on efficacy, quality, access, cost and utilization of services for people with disabilities, and on their quality of life, well-being and social inclusion. Furthermore, we are interested in manuscripts that will improve our ability to better define and conceptualize AI technologies in this context. Finally, we welcome manuscripts that will specifically address ethical issues that relate to the use of AI to improve quality of life and social inclusion of people with disabilities.

The topics of interest for this issue's include, but are not limited to, AI technologies:

  • Information provision
  • Interventions at the promotion, prevention, early intervention, active treatment, maintenance, and relapse prevention stages and intervention types
  • Data analysis and data science methods
  • Quality of life and social inclusion of people with disabilities
  • Policy and regulations in the context of people with disabilities
  • Clinical integration and utility of novel data streams 
  • Cost and cost–effectiveness
  • Ethical considerations

Guest Editors Amir Tal, PhD, Chief Scientist at Beit Ekestein, Danel Group and Shirli Werner, PhD, Head of the Center for Disability Studies, Paul Baerwald School of Social Work and Social Welfare, Hebrew University of Jerusalem, will oversee the special issue.

Submission instructions

All papers will be peer reviewed, and should be submitted through the Manuscript Submission Portal, under the Instructions to Authors at  http://www.tandfonline.com/action/authorSubmission?journalCode=uaty20&page=instructions. Submissions should follow the standard guidelines for Assistive Technology.  

Editorial information

  • Guest Editor: Amir Tal, PhD, Chief Scientist at Beit Ekestein, Danel Group
  • Guest Editor: Shirli Werner, PhD, Head of the Center for Disability Studies, Paul Baerwald School of Social Work and Social Welfare, Hebrew University of Jerusalem