Identifying Future Trends in AI-Driven Assistive Technologies: Insights from a National Delphi Survey of Stakeholder Perspectives

Paulina Tsvetkova (), Anna Lekova, Alexander Simov and Mayiana Mitevska
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Paulina Tsvetkova: Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Anna Lekova: Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Alexander Simov: Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Mayiana Mitevska: Department of Psychology, Faculty of Pedagogy, Paisii Hilendarski University of Plovdiv, 24 Tsar Assen Str, 4000 Plovdiv, Bulgaria

Societies, 2025, vol. 15, issue 9, 1-15

Abstract: Advancements in assistive technologies (ATs), particularly those powered by Artificial Intelligence (AI), have significantly enhanced the quality of life and independence of individuals with various disorders, thus fostering progress in education, employment, social engagement and well-being. Despite these advancements, significant challenges remain in the implementation of such technologies in various domains, emphasizing the necessity for deeper exploration of their future development. This study examines the future trends and perspectives of ATs, providing valuable insights from a national context and comparing the results with those of international Delphi research. Using a two-round Delphi method, we engaged a panel of 23 experts from Bulgaria, representing disability organizations, academia and practice. Ten future-oriented projections were assessed, while participant demographics and attitudes toward ATs were also analyzed. The survey’s statistical findings indicate a moderate consensus among the Bulgarian experts. They demonstrate cautious optimism about the use of ATs, especially AI-driven technology, for individuals with disabilities. The results are similar with those of the international study, with only few differences, highlighting the shared perspectives of experts at both national and international levels. The research offers valuable insights into emerging trends in AI-driven ATs and provides valuable knowledge for policymakers, researchers and developers seeking to align innovation with the expectations of diverse stakeholders.

Keywords: assistive technologies; AI; Delphi survey; disabilities; perspectives (search for similar items in EconPapers)
JEL-codes: A13 A14 P P0 P1 P2 P3 P4 P5 Z1 (search for similar items in EconPapers)
Date: 2025
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