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Development of Language Rehabilitation Program Using the Smart Device-based Application

스마트 기기 기반 언어재활 프로그램 개발

  • 황유미 (고려대학교 융합뇌신경연구소) ;
  • 박기남 (고려대학교 정보창의교육연구소) ;
  • 정영희 ((주)마음) ;
  • 편성범 (고려대학교 융합뇌신경연구소)
  • Received : 2019.07.26
  • Accepted : 2019.10.20
  • Published : 2019.10.28

Abstract

The purpose of this study is to develop a smart device-based Language Rehabilitation Program (LRP) to improve communication ability for the patients with language disability. The content of the LRP includes a variety of semantic categories and grammatical elements and consists of 17 semantic categories, 29 tasks and 3780 items to improve comprehension/production ability at word level, semantic category level, sentence level and discourse level. We developed LRP as a Windows-base management program and an Android-base language rehabilitation application. LRP was developed into an application for smart devices, providing real-time delivery of training contents, measurement and database of training task results, and patient progress and monitoring. A follow-up study will be conducted on the verification of the language rehabilitation effect using LRP by patients with language disability.

본 연구의 목적은 언어장애 환자군의 의사소통 능력 향상을 위하여 스마트 기기 기반의 언어재활 프로그램 개발에 있다. 이를 위하여 기존에 개발된 다양한 국내외 의사소통 언어훈련 프로그램을 비교분석하여 구체적인 의사소통 범위 및 훈련 과제, 문항 등을 검토하여 과제 구성에 필요한 콘텐츠를 선별하였다. 다양한 의미범주와 문법요소를 포함하고 언어학적 단위에 기초하여 단어수준, 의미범주, 문장수준, 담화수준의 이해산출 능력 향상을 위하여 17개의 의미범주를 추출하고 29개의 훈련과제와 3780개의 훈련 문항을 제작하였으며, 윈도우를 기반으로 하는 관리 프로그램과 안드로이드 기반 재활 훈련 애플리케이션을 개발하였다. 본 언어재활 프로그램은 가정에서 쉽고 편리하게 홈 프로그램으로 사용되어 언어훈련 효과를 증대시킬 수 있으며, 환자 관리 및 훈련 결과 데이터베이스 구축 등 언어장애 환자군의 치료에 유용하게 사용될 것으로 기대된다. 향후 언어장애 환자군 별 언어재활 효과 검증 등의 후속 연구가 진행될 예정이다.

Keywords

References

  1. Korea National Institute of Special Education. 2009. The dictionary of special education. Seoul: Hawoo
  2. R. Chapey. (2001). Language Intervention Strategies in Aphasia and Related. Neurogenic Communication Disorders. (4th ed.). Philadelphia, PA: Lippincott Williams & Wilkins.
  3. L. M Justice & E. E. Redle. (2014). Communication sciences and disorders: An evidence-based approach (3rd ed.). Upper Saddle River, NJ: Pearson Education Inc
  4. Statistics Korea (2016) Annual report of the cause of death statistics provinces.
  5. Korea Centers for Disease Control and Prevention. (2012). Community Health Survey. Korea Centers for Disease Control and Prevention. https://chs.cdc.go.kr/chs/index.do.
  6. M. C. Brady, A. M. Clark, S. Dickson, G. Paton & R. S. Barbour. (2011). The impact of stroke-related dysarthria on social participation and implications for rehabilitation. Disability and Rehabilitation, 33(3), 178-186. https://doi.org/10.3109/09638288.2010.517897
  7. S. Dickson, R. S. Barbour, M. Brady, A. M. Clark & G. Paton. (2008). Patients' experiences of disruptions associated with post-stroke dysarthria. International Journal of Language and Communication Disorders, 43(2), 135-153. DOI: 10.1080/13682820701862228
  8. K. Hilari, J. J. Needle & K. L. Harrison. (2012). What are the important factors in health-related quality of life for people with aphasia? A systematic review. Archives of Physical Medicine and Rehabilitation, 93(1Suppl), S86-S95. DOI: 10.1016/j.apmr.2011.05.028
  9. Ministry of Science and ICT & Korea Internet and Security Agency (2017), Survey on the internet usage. https://www.mist.go.kr
  10. Korea Communications Commission. (2017). 2017 Share of audience survey. https://kcc.go.kr/
  11. J. A. Sanford & R. J. Browne. (1988). Captain's Log [computer software]. Richmond, VA: Braintrain.
  12. K. Marker. (2003). COGPACK Manual Version 5.9. Marker Software : Ladenburg.
  13. G. Schuhfried. (1996). RehaCom. Madrid: TEA
  14. J. Hardy & M. Scandlon. (2009) The science behind lumosity, San Francisco, CA: Lumos Labs.
  15. Y. Lee & S. Lee. (2017). Effect of smartphone applications for aural habilitation in cochlear implanted children: Improvement for auditory memory skills. Audiology and Speech Research, 13(2), 176-192. DOI: 10.21848/asr.2017.13.2.176
  16. K. Jang. (2018). The effect of a case marker intervention study on case marker (grammar morpheme) expression and spoken length of children with specific language disorders in preschool age by using smartphone application based on IoT (Master's thesis). Ewha Womans University, Korea.
  17. J. Y. Lee, Y. K. Kim, H. C. You & B. W. Ko. (2015). An analysis of parents' and experts' needs for smart content for speech and language therapy support for people with speech disorders. Journal of Speech & Hearing Disorders, 24(4), 171-182. DOI: 10.15724/jslhd.2015.24.4.016
  18. H. N. Lee, J. H. Park & J. Y. Yoo. (2019). Development of smartphone-based voice therapy program, Phonetics and Speech Sciences, 11(2), 51-61. DOI: 10.13064/KSSS.2019.11.1.051
  19. H. J. Shin. (2003). A validation of the category norms collected through internet. The Korean Journal of Experimental Psychology, 15(2), 303-347.
  20. Korea database agency (2012). Characteristics of MySQL in Scale-Out Perspective. https://www.kdatd.or.kr