본문 바로가기
  • Home

Augmented Reality-based Speech-Language Therapy for Individuals with Communication Disorders: Current Evidence, Limitations, and Benefits

  • The Journal of Transdisciplinary Studies
  • Abbr : JTS
  • 2019, 3(2), pp.91-102
  • Publisher : The Society for Transdisciplinary Studies
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : December 23, 2019
  • Accepted : December 27, 2019
  • Published : December 31, 2019

Park, Hee-June 1 Kwon, Soon-Bok 2

1부산가톨릭대학교
2부산대학교

ABSTRACT

This study aimed to review currently available research on augmented reality (AR) based speech-language therapy for individuals with communication disorders. AR is generally referred to as a system in which the user has a direct view of their environment and where a specially constructed device allows additional information or graphical elements to be blended with the real environment in the form of an overlay. AR-based speech-language therapy refers to speech-language therapy delivered via computer-simulation technology to improve speech and language abilities for children and adults with communication disorders. In addition, this paper addressed limitations of previous studies and benefits of AR-based speech-language therapy. Recent Findings Recent research reports suggest that AR-based speech-language therapy is a viable option for treating children and adults with speech-language disorders. However, most of the research studies were conducted without a rigorous experimental design. Additionally, the quality of technology is difficult to assess and application to real clinical practice is currently lacking. Future studies should be conducted with a rigorous experimental design and more advanced technology. Summary This paper has reviewed current evidence related to the effectiveness of AR-based speech-language intervention for children and adults with speech-language impairment. This paper discussed limitations of the current research and benefits of AR-based speech-language therapy

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.