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자폐스펙트럼장애 아동 및 청소년의 자기점검 기술 향상을 위한 테크놀로지 활용 연구 분석

Review on Technology-Supported Research to Improve Self-Monitoring for Children and Youth with Autism Spectrum Disorder

김환희|이영선
교육연구소 (CNU Research Institute of Education)|2021.12|교육문화연구 (Journal of Education & Culture)|제27권 제6호|pp. 451-475|DOI 10.24159/joec.2021.27.6.451

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interactionASDself-monitoring테크놀로지technology인터랙션자기모니터링

초록

본 연구에서는 자폐스펙트럼장애 아동 및 청소년의 효과적인 자기점검 기술 향상을 위해 테크놀로지를 활용한 국외 연구의 동향을 분석하고자 하여, 국외 주요 데이터베이스에서 ‘autism’, ‘ASD’, ‘self-management’, ‘self-monitoring’, ‘technology’, ‘smart’, ‘device’, ‘app’, ‘tablet pc’, ‘interaction’ 등의 단어를 조합하여 검색하였다. 선정 기준에 따라 총 23편의 분석대상 논문을 선정하여 이를 개발연구와 중재연구로 구분하였고, 테크놀로지와 인터랙션 방식, 목표 행동, 모니터링을 위한 활용 데이터와 촉진 요소 등의 기준으로 분석하였으며, 이에 대한 연구결과는 다음과 같다. 첫째, 개발연구는 대부분 사용자의 상황이나 행동, 정서 등을 민감하게 감지하기 위해 여러 서브루틴이나 추가 장치를 탑재하여 보다 다양한 데이터를 활용하고자 하였다. 둘째, 개발연구는 주로 학교, 가정 및 지역사회를 포함하는 전반적인 일상 안에서 사용할 수 있도록 일반화를 고려한 설계를 하였다. 셋째, 중재연구에서는 일정 간격에 따라 질문을 제시하고 그에 응답하는 방식으로 설계된 프로그램이 가장 많았다. 넷째, 중재연구에서 설정된 종속변인으로는 수업 중 자신의 행동을 점검하게 하는 연구가 가장 많은 편수를 차지하였다. 마지막으로 이러한 연구결과를 통한 논의와 후속연구에 대한 방향성을 제안하였다.

Abstract

This study analyzed the trends in technology-supported research to improve self-monitoring for children and youth with autism spectrum disorders. A total of 23 studies were selected and analyzed in terms of the study design, technology, interaction method, target behavior, monitoring factors, and results. The following results were derived. 1) Most of the developmental studies utilized various data by mounting several subroutines or additional devices. 2) Development research programs are designed to be used in the overall daily environment. 3) In intervention studies, most programs were designed to present questions and respond to them at regular intervals. 4) In intervention studies, many studies set target behaviors to check one's behavior during class. Based on these findings, discussions and recommendations for follow-up studies were proposed.

참고문헌 (44)

  1. 강지혜, "자폐성장애인의 스마트 기기 활용에 대한 국외 문헌분석", 자폐성장애연구, 14(2), pp.93~118 (2014), 한국자폐학회
  2. 양일, "자폐 범주성 학생을 위한 가상현실 기반 중재 연구동향 및 중재 특성 고찰", 한국콘텐츠학회 논문지, 17(2), pp.623~636 (2017), 한국콘텐츠학회[DOI]
  3. 이소현, "자폐 범주성 장애 학생의 자기관리 전략 사용에 대한 국내외 연구 고찰", 자폐성장애연구, 13(1), pp.97~118 (2013), 한국자폐학회
  4. 이영선, "장애인의 고용 활동 지원을 위한 테크놀로지 활용 : 교수적 지원을 중심으로", 장애와 고용, 19(3), pp.199~222 (2009), 한국장애인고용공단 고용개발원[DOI]
  5. Amiri, A. M., "WearSense: detecting autism stereotypic behaviors through smartwatches", Healthcare, 5(1), pp.11~ (2017), Multidisciplinary Digital Publishing Institute
  6. Anderson, A., "The who, what, where, when, and why of self-monitoring of student behaviour", Australasian Journal of Special Education, 28(2), pp.30~64 (2004)
  7. APA, "정신질환의 진단 및 통계 편람" (2015), 학지사
  8. Attwood, T., "Learners on the autism spectrum: Preparing highly qualified educators", pp.18~43 (2008)
  9. Beckman, A., "Improving behavioral and academic outcomes for students with autism spectrum disorder : testing an app-based self-monitoring intervention", Education and Treatment of Children, 42(2), pp.225~244 (2019)
  10. Bereznak, S., "Video self-prompting and mobile technology to increase daily living and vocational independence for students with autism spectrum disorders", Journal of Developmental and Physical Disabilities, 24(3), pp.269~285 (2012)
  11. Bouck, E. C., "High-tech or low-tech? Comparing self-monitoring systems to increase task independence for students with autism", Focus on Autism and Other Developmental Disabilities, 29(3), pp.156~167 (2014)
  12. Callahan, K., "Using self-management strategies to increase the on-task behavior of a student with autism", Journal of Positive Behavior Interventions, 1(2), pp.117~122 (1999)
  13. Crutchfield, S. A., "Use of a self-monitoring application to reduce stereotypic behavior in adolescents with autism : A preliminary investigation of I-Connect", Journal of Autism and Developmental Disorders, 45(5), pp.1146~1155 (2015)
  14. Fage, C., "Tablet-based activity schedule in mainstream environment for children with autism and children with ID", ACM Transactions on Accessible Computing(TACCESS), 8(3), pp.1~26 (2016)
  15. Farrell, A., "Self-monitoring of pace to improve math fluency of high school students with disabilities", Behavior Analysis in Practice, 1(2), pp.26~35 (2008)
  16. Ferguson, H., "Using a personal digital assistant to enhance the independence of an adolescent with Asperger syndrome", Education and Training in Developmental Disabilities, pp.60~67 (2005)
  17. Finn, L., "Using Watchminder to Increase the On-Task Behavior of Students with Autism Spectrum Disorder", Journal of Autism and Developmental Disorders, 45(5), pp.1408~1418 (2015)
  18. Ganz, J. B., "Effects of a self-monitoring device on socially relevant behaviors in adolescents with asperger disorder : A pilot study", Assistive Technology, 25(3), pp.149~157 (2013)
  19. Parisa Ghanouni, "The Use of Technologies Among Individuals With Autism Spectrum Disorders: Barriers and Challenges", Journal of Special Education Technology, 35(4), pp.286~294 (2020), SAGE Publications[DOI]
  20. Hampshire, P. K., "A parent-implemented, technology-mediated approach to increasing self-management homework skills in middle school students with autism", Exceptionality, 26(2), pp.119~136 (2018)
  21. Holifield, C., "Using self-monitoring to increase attending to task and academic accuracy in children with autism", Focus on autism and other developmental disabilities, 25(4), pp.230~238 (2010)
  22. Kim, S. I, "Toward becoming a better self: Understanding self-tracking experiences of adolescents with autism spectrum disorder using custom trackers", Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp.169~178 (2019)
  23. Koegel, R. L., "Extended reductions in stereotypic behavior of students with autism through a self-management treatment package", Journal of Applied Behavior Analysis, 23(1), pp.119~127 (1990)
  24. Lee, S. H., "Effects and implications of self-management for students with autism : A meta-analysis", Focus on Autism and Other Developmental Disabilities, 22(1), pp.2~13 (2007)
  25. Liu, C, "Affect recognition in robot assisted rehabilitation of children with autism spectrum disorder", Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.1755~1760 (2007), IEEE
  26. Mancina, C., "Brief reports brief report : reduction of inappropriate vocalizations for a child with autism using a self-management treatment program", Journal of autism and developmental disorders, 30(6), pp.599~606 (2000)
  27. McDougall, D., "Students with Disabilities Use Tactile Cued Self-Monitoring to Improve Academic Productivity During Independent Tasks", Journal of Instructional Psychology, 39(2) (2012)
  28. McPartland, J., "Handbook of clinical neurology, 106", pp.407~418 (2012)
  29. Mechling, L. C., "Using a personal digital assistant to increase independent task completion by students with autism spectrum disorder", Journal of autism and developmental disorders, 39(10), pp.1420~1434 (2009)
  30. Mohammedali, M., "A context-sensitive device to help people with autism cope with anxiety", CHI'11 Extended Abstracts on Human Factors in Computing Systems, pp.1201~1206 (2011)
  31. Myles, B. S., "Using a personal digital assistant to improve the recording of homework assignments by an adolescent with Asperger syndrome", Focus on Autism and Other Developmental Disabilities, 22(2), pp.96~99 (2007)
  32. Parker, D., "Effects of task analysis and self-monitoring for children with autism in multiple social settings", Focus on Autism and Other Developmental Disabilities, 26(3), pp.131~142 (2011)
  33. Romans, S. K., "The effect of web-based self-monitoring to increase on-task behavior and academic accuracy of high school students with autism", Preventing School Failure : Alternative Education for Children and Youth, 64(3), pp.249~260 (2020)
  34. Rosenbloom, R., "Technology delivered self-monitoring application to promote successful inclusion of an elementary student with autism", Assistive Technology, 28(1), pp.9~16 (2016)
  35. Rosenbloom, R., "The Effects of a Technology-Based Self-monitoring Intervention on On-Task, Disruptive, and Task-Completion Behaviors for Adolescents with Autism", Journal of Autism & Developmental Disorders, 49(12) (2019)
  36. Schulze, M. A., "Self-management strategies to support students with ASD", Teaching Exceptional Children, 48(5), pp.225~231 (2016)
  37. Sharmin, M, "From research to practice: informing the design of autism support smart technology", Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp.1~16 (2018)
  38. Skillen, K. L., "LifePal: a mobile self-management tool for supporting young people with autism", XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, pp.1174~1179 (2016), Springer
  39. Soares, D. A., "Computer aided self‐monitoring to increase academic production and reduce self‐injurious behavior in a child with autism", Behavioral Interventions: Theory & Practice in Residential & Community‐Based Clinical Programs, 24(3), pp.171~183 (2009)
  40. Tang, Z, "Ambient intelligence based context-aware assistive system to improve independence for people with autism spectrum disorder", 2016 49th Hawaii International Conference on System Sciences (HICSS), pp.3339~3348 (2016), IEEE
  41. Tomczak, M. T., "Stress monitoring system for individuals with autism spectrum disorders", IEEE Access, 8, pp.228236~228244 (2020)
  42. Wehmeyer, M. L., "Self-determination across the life span: Independence and choice for people with disabilities", pp.17~36 (1996)
  43. Wright, R. E., "Smartwatch Executive Function Supports for Students With ID and ASD", Journal of Special Education Technology (2020)
  44. Xin, J., "Brief Report : Using iPads for Self-Monitoring of Students with Autism", Journal of Autism & Developmental Disorders, 47(5), pp.1559~1567 (2017)

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