Trends in Using Digital Apps to Measure Concentration for Autism: Bibliometric Analysis and Global Visualization

Authors

  • Fadjri Kirana Anggarani Universitas Sebelas Maret, Surakarta, Indonesia
  • Dian Atnantomi Wiliyanto Poltekkes Kemenkes Surakarta, Surakarta, Indonesia
  • Munawir Yusuf Universitas Sebelas Maret, Surakarta, Indonesia

DOI:

https://doi.org/10.17977/um005v10i12026p187-194

Keywords:

autism, digital apps, concentration

Abstract

This study has a specific goal of developing a digital application to measure the concentration of autistic children, with the aim of achieving accurate, reliable measurements that can serve as a basis for service or intervention to address concentration problems in autistic children. The research method, using the Systematic Literature Review model, is designed to explore worldwide public trends in the use of digital applications to measure the concentration of autistic children. Data from relevant studies published from 2018 to 2022 were retrieved from the Scopus database via Publish or Perish. The bibliometric analysis technique was used to analyse the resulting data by coupling visual bibliography, co-authorship, co-citation, co-occurrence, and analysis of publication trends of the visualisation of similarity (VOS) software. Research trends show that it is not only used to measure the concentration of autistic children but can be used on all humans, measuring students' psychological problems and as a test for entering work and members of the police or army. Research on concentration measurement has been widely conducted in Europe and the United States. The number of US authors is higher than that of other countries, totaling 708. This indicates the use of concentration measuring instruments widely applied in the country. The research trend revealed by the discovery of 15 journals discussing the measurement of autistic children's concentration can serve as a basis for developing digital applications. Digital applications can measure the concentration levels of autistic children by detecting pupils.

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Published

2026-01-21

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