Research Development on Assistive Technology: A Network and Concept-Linking Analysis

Chien wen Shen, Agnieszka Maria Koziel, Tso hsuan Yeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This study aims to provide an in-depth understanding of assistive technology (AT) research development by investigating relationships between related keywords and concepts and uncovering how trends change over time. This study employed network analysis to identify the relationships between frequently cited papers and keywords in the AT literature and concept-linking analysis to uncover the key concepts and classifies them into clusters determining the changing trends in AT research. The network analysis results on author keywords co-occurrence and citation indicate that the development trend of AT is primarily observed in medicine and is related to medical devices used in rehabilitation or available for disabled and people for well-being improvement. Meanwhile, the concept linking analysis identifies seven groups of key AT concepts, including technical issues, education, health and disability, policy, user/people, and ways/medium. We also depict the yearly changes of the key concepts in AT research development. This research extracts the strongest key concepts, the most productive authors and countries, and the connecting relationship between authors and literature within the big data. It provides a comprehensive view of temporal patterns of AT developments and their development in terms of human–computer interactions.

Original languageEnglish
Title of host publicationResearch and Innovation Forum 2022 - Rupture, Resilience and Recovery in the Post-Covid World
EditorsAnna Visvizi, Orlando Troisi, Mara Grimaldi
PublisherSpringer Science and Business Media B.V.
Number of pages12
ISBN (Print)9783031195594
StatePublished - 2023
EventResearch and Innovation Forum, Rii Forum 2023 - Cracow, Poland
Duration: 12 Apr 2023 → …

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692


ConferenceResearch and Innovation Forum, Rii Forum 2023
Period12/04/23 → …


  • Assistive technology
  • Concept-linking analysis
  • Disability
  • Network analysis


Dive into the research topics of 'Research Development on Assistive Technology: A Network and Concept-Linking Analysis'. Together they form a unique fingerprint.

Cite this