Multimedia Tools and Applications

, Volume 74, Issue 16, pp 6197–6207 | Cite as

The advanced Korea—computer access assessment system (K-CAAS) on smart mobile cloud environment

  • Juhye Yook
  • Jinsul KimEmail author


The purpose of the research in this paper was to improve the Korea-Computer Access Assessment (K-CAAS) to assess future mobile computer access of individuals with physical disabilities. The advancement of the K-CAAS included testing areas of double click, right click, scrolling, keyboard input with letter, word, and sentence, switch, and scanning, which broadly improved from the first development of click, drag, and menu only for alternate or general mouse use on mobile computing environment. Skill levels in each test area could be set as primary, intermediate, proficient, and customized according to individuals’ needs and conditions. All tests have their default sets in each level, and the skill levels could be selected and changed by the abilities and goals of a user. The system could be used for users’ training as well as assessing to operate a computer and mobile devices in cloud environment and, their interaction and test results could be traced and displayed virtually from mobile cloud environment. This assessment program with human-computer interaction features and automatic data analyses would help users with physical disabilities control a computer better by themselves as improving their computer access skills.


Mobile computer access Physical disabilities Assistive Assessment Mobile cloud 



This research is supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2013740) and partially funded by Korea Nazarene University, Grants 2014.


  1. 1.
    Aldebert M, Ivaldi M, Roucolle C (2004) Telecommunications demand and pricing structure: An econometric analysis. Telecommun Syst 25(1–2):89–115CrossRefGoogle Scholar
  2. 2.
    Assistive Technology Inc. (2002). EvaluWareTM: Assessment Activities for AAC and Computer AccessGoogle Scholar
  3. 3.
    de Meer H, Hummel KA, Basmadjian R (2012) Future internet services and architectures: trends and visions. Telecommun Syst 51(4):219–220CrossRefGoogle Scholar
  4. 4.
    Dimitrios G, Georgios I et al (2013) Special issue on mobile computing and networking technologies. Telecommun Syst 52(4):1713–1717CrossRefGoogle Scholar
  5. 5.
    Dimitrios G, Georgios I et al (2013) Special issue on mobile computing and networking technologies. Telecommun Syst 52(4):1713–1717CrossRefGoogle Scholar
  6. 6.
    Fitchett S, Cockburn A (2010) Proceedings of the 24th BCS interaction specialist group conference. Society, British Computer, MultiScroll: using multiTouch input to disambiguate relative and absolute mobile scroll modesGoogle Scholar
  7. 7.
    Go D, Park K, Yook J, Yoo J (2007) A field study on access and use electronic & information technology assistive device of person with disabilities. J Spec Educ: Theory Pract 8(2):319–343Google Scholar
  8. 8.
    Kim, J., and Yook, J. (2012). The development of Korea - Computer Access Assessment System (K-CAAS) for persons with physical disabilities. Lecture Notes in Electrical Engineering 215: IT Convergence and Security 2012, 499–507Google Scholar
  9. 9.
    Koester, H. H. (2004). Compass. Koester Performance ResearchGoogle Scholar
  10. 10.
    Ministry of Health and Welfare, Statistics Portal.
  11. 11.
    Morikawa H, Aoyama T (2004) Realizing the ubiquitous network: the internet and beyond. Telecommun Syst 25(3–4):449–468CrossRefGoogle Scholar
  12. 12.
    Park G, Yun H, Park S, Yook J (2011) Status of assistive technology devices use of teachers for students with physical disabilities. J Rehabil Technol 2(3):17–39Google Scholar
  13. 13.
    Rho, Seungmin (2013) Advances in wireless sensor communications and applications for smart space. Telecommun Syst 52(4):2321–2323CrossRefGoogle Scholar
  14. 14.
    Sandberg J, Maris M, de Geus K (2011) Mobile english learning: an evidence-based study with fifth graders. Comput Educ 57(1):1334–1347CrossRefGoogle Scholar
  15. 15.
    Simoes J, Magedanz T (2011) Contextualized user-centric multimedia delivery system for next generation networks. Telecommun Syst 48(3–4):301–316CrossRefGoogle Scholar
  16. 16.
    TechSmith Corporation. (2012). Morae.Google Scholar
  17. 17.
    Thompson DE, Gruis KL, Huggins JE (2013) A plug-and-play brain-computer interface to operate commercial assistive technology. Disabil Rehabil: Assist Technol 1(7)Google Scholar
  18. 18.
    Williams WB, Stemach G, Wolf S, Stanger C (2012) Lifespace access profile upper extension: assistive technology assessment and planning for individuals with severe or multiple disabilities. Lifespace Access Assistive Technology Systems, IrvineGoogle Scholar
  19. 19.
    Yook J (2011) Designing computer workstation for a university student with cerebral palsy. J Rehabil Technol 2(7):41–58Google Scholar
  20. 20.
    Yook J (2012) Confirmatory factor analysis and model fit test of screening index on assistive devices of computer input for individuals with physical disabilities (SACIP). J Spec Educ 47(2):125–140Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Rehabilitation TechnologyKorea Nazarene UniversityChungnamKorea
  2. 2.School of Electronics and Computer EngineeringChonnam National UniversityGwangjuKorea

Personalised recommendations