[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Improving the Deaf and Hard of Hearing Internet Accessibility: JSL, Text-into-Sign Language Translator for Arabic

  • Conference paper
  • First Online:
Advanced Machine Learning Technologies and Applications (AMLTA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1339))

Abstract

Our society is more dependent on ICT regardless of our abilities. However, some webpages cannot be accessed by D/HoH people, especially when they lack education skills. Technological experts have offered several solutions over the years e.g., fixed content given to D/HoH users, or videos using SL, which affects the presentation. As a suggested solution, the Jordanian Sign Language browser (JSL) was developed. This allows D/HoH users to choose any word and translate it into SL using videos with translated words appearing on the screen on request without disturbing the website presentation. The JSL acceptance was measured using the usability questionnaire (SUMI). The model was drawn from 100 Jordanian D/HoH users to measure their satisfaction and acceptance and test the following factors: Efficiency, Effect, Helpfulness, and Learnability. The findings revealed that the proposed model was reliable and reinforced the need for including ICT in D/HoH institutions. It is anticipated that it will help online D/HoH people in enhancing their social and educational skills.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 199.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 249.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    In the Figure “no and very poor” should be “none and very poor”?

References

  1. Al Muhaisen, O., Habes, M., Alghizzawi, M.: An empirical investigation the use of information, communication technologies to English language acquisition. Int. J. Innov. Eng. Res. Technol. 67(5), 261–269 (2020)

    Google Scholar 

  2. Lindsey, W.H.: The relationship between personality type and software usability using the Myers-Briggs type indicator (MBTI®) and the software usability measurement inventory (SUMI). School of Computer and Information Sciences: Nova Southeastern University (2011)

    Google Scholar 

  3. Hilzensauer, M., Dotter, F.: ‘SignOn’, a model for teaching written language to deaf people. In: IST-Africa Conference Proceedings, vol. 2011, pp. 1–8 (2011)

    Google Scholar 

  4. Vanderheiden, G.C.: Full visual annotation of auditorially presented information for users who are deaf: ShowSounds. In: Proceedings of RESNA International Conference, Toronto (1992)

    Google Scholar 

  5. Kimball, W.H., Cohen, L.G., Dimmick, D., Mills, R.: No special equipment required: the accessibility features built into the windows and Macintosh operating systems make computers accessible for students with special needs. Learn. Lead. with Technol. 31(4), 12–15 (2003)

    Google Scholar 

  6. Saleem, Y., et al.: Windows interface for disabled person. Pak. J. Sci. 66(1), 1–7 (2014)

    Google Scholar 

  7. Debevc, M., Kosec, P., Holzinger, A.: Improving multimodal web accessibility for deaf people: sign language interpreter module. Multimed. Tools Appl. 54(1), 181–199 (2011)

    Article  Google Scholar 

  8. Debevc, M., Kosec, P., Holzinger, A.: E-learning accessibility for the deaf and hard of hearing-practical examples and experiences. In: Symposium of the Austrian HCI and Usability Engineering Group, pp. 203–213 (2010)

    Google Scholar 

  9. Fels, D.I., Richards, J., Hardman, J., Lee, D.G.: Sign language web pages. Am. Ann. Deaf 151(4), 423–433 (2006)

    Article  Google Scholar 

  10. Straetz, K., Kaibel, A., Raithel, V., Specht, M., Grote, K., Kramer, F.: An e-learning environment for deaf adults. In: Conference proceedings 8th ERCIM workshop User Interfaces for all (2004)

    Google Scholar 

  11. Szmal, P.: Thetos, text-into-sign-language translator for Polish. In: Proceedings of International Conference Education for all (2007)

    Google Scholar 

  12. Alhamed, A.A., Alqhtani, M.S.: Development of tool to promote web accessibility for deaf. In: 4th International Conference on Information Technology, Control, Chaos, Modeling and Applications, p. 15 (2017)

    Google Scholar 

  13. Santos, M.A., Swachten, L.: Deafness, language and culture in education: towards quality standards for student research in Europe. In: Porto, Inst. Politec. do Porto (2010)

    Google Scholar 

  14. Trine, E.: مترجمة: a case study of an Arabic/Jordanian sign language (liu) interpreter in Jordan (2013)

    Google Scholar 

  15. Eleweke, C.J.: A review of issues in deaf education under Nigeria’s 6-3-3-4 education system. J. Deaf Stud. Deaf Educ. 7(1), 74–82 (2002)

    Article  Google Scholar 

  16. Choi, H.J., Johnson, S.D.: The effect of problem-based video instruction on learner satisfaction, comprehension and retention in college courses. Br. J. Educ. Technol. 38(5), 885–895 (2007)

    Article  Google Scholar 

  17. Adoyo, P.O.: Educating deaf children in an inclusive setting in Kenya: challenges and considerations. Electron. J. Incl. Educ. 2(2), 8 (2007)

    Google Scholar 

  18. Debevc, M.: The effects of using captions in sign language interpreter videos (2015)

    Google Scholar 

  19. Olivrin, G.J.-L.: Is video on the web for sign languages. In: Proceedings of the W3C Video on the Web Workshop. San Jose, California and Brussels, Belgium (2007)

    Google Scholar 

  20. Bangham, J.A., Cox, S.J., Lincoln, M., Marshall, I., Tutt, M., Wells, M.: Signing for the deaf using virtual humans (2000)

    Google Scholar 

  21. Debevc, M., Peljhan, Ž: The role of video technology in on-line lectures for the deaf. Disabil. Rehabil. 26(17), 1048–1059 (2004)

    Article  Google Scholar 

  22. Forster, J., et al.: RWTH-PHOENIX-weather: A large vocabulary sign language recognition and translation Corpus. In: LREC, pp. 3785–3789 (2012)

    Google Scholar 

  23. Hilzensauer, M.: Information technology for deaf people. In: Intelligent paradigms for assistive and preventive healthcare, pp. 183–206. Springer, Heiedelberg (2006)

    Google Scholar 

  24. Chang, C.: Innovation of a smartphone app design as used in face-to-face communication for the deaf/hard of hearing. Online J. Art Des. 3, 1–6 (2015)

    Google Scholar 

  25. Stuckless, R.: Developments in real-time speech-to-text communication for people with impaired hearing. In: Communication Access People with Hear Loss, pp. 197–226 (1994)

    Google Scholar 

  26. Parton, B.: Video captions for online courses: do YouTube’s auto-generated captions meet deaf students’ needs? J. Open Flexible Distance Learn. 20(1), 8–18 (2016)

    MathSciNet  Google Scholar 

  27. Toledo, G.: Subtitles for the deaf and hard-of-hearing: comparing legislation and official orientation for SDH in Brazil and in other countries. Transletters. Int. J. Transl. Interpret. 1(1), 143–166 (2018)

    Google Scholar 

  28. Caldwell, G., Cooper, B., Reid, M., Vanderheiden, L.G.: WCAG 2.0 - web content accesssibility guidelines: W3C recommendation (2008)

    Google Scholar 

  29. Kirakowski, J., Corbett, M.: SUMI: the software usability measurement inventory. Br. J. Educ. Technol. 24(3), 210–212 (1993)

    Article  Google Scholar 

  30. Debevc, M., Stjepanovič, Z., Povalej, P., Verlič, M., Kokol, P.: Accessible and adaptive e-learning materials: considerations for design and development. In: In International Conference on Universal Access in Human-Computer Interaction, pp. 549–558 (2007)

    Google Scholar 

  31. Jooste, C., Van Biljon, J., Mentz, J.: Usability evaluation for business intelligence applications: a user support perspective. South Afr. Comput. J. 53(1), 32–44 (2014)

    Google Scholar 

  32. Kulkarni, R., Padmanabham, P., Sagare, V., Maheshwari, V.: Usability evaluation of PS using SUMI (software usability measurement inventory). In: 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1270–1273 (2013)

    Google Scholar 

  33. Al-Sarayrah, W., Al-Aiad, A., Jararweh, Y.: Social networking sites and deaf and hard of hearing people in Jordan: Characteristics and preferences. In: 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), pp. 1–5 (2018)

    Google Scholar 

  34. Cohen, J.: Statistical power analysis for the behavioral sciences. Routledge, London (2013)

    Book  Google Scholar 

  35. Hair, J.F., Ringle, C.M., Sarstedt, M.: PLS-SEM: indeed a silver bullet. J. Mark. theory Pract. 19(2), 139–152 (2011)

    Article  Google Scholar 

  36. Chin, W.W.: The partial least squares approach to structural equation modeling. Mod. methods Bus. Res. 295(2), 295–336 (1998)

    Google Scholar 

  37. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis. Pearson New International Edition. Pearson Higher Ed. (2013)

    Google Scholar 

  38. Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981). https://doi.org/10.2307/3151312

    Article  Google Scholar 

  39. Ifinedo, P.: Acceptance and continuance intention of web-based learning technologies (WLT) use among university students in a Baltic Country. Electron. J. Inf. Syst. Dev. Ctries. 23(1), 1–20 (2006)

    Article  Google Scholar 

  40. Rahimpour, M., Lovell, N.H., Celler, B.G., McCormick, J.: Patients’ perceptions of a home telecare system. Int. J. Med. Inform. 77(7), 486–498 (2008)

    Article  Google Scholar 

  41. Hair, J.F., Jr., Hult, G.T.M., Ringle, C., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications, Thousand Oaks (2016)

    MATH  Google Scholar 

  42. Stone, M.: Cross-validatory choice and assessment of statistical predictions. J. R. Stat. Soc. Ser. B 36(2), 111–133 (1974)

    MathSciNet  MATH  Google Scholar 

  43. Geisser, S.: A predictive approach to the random effect model. Biometrika 61(1), 101–107 (1974)

    Article  MathSciNet  Google Scholar 

  44. Wetzels, M., Odekerken-Schröder, G., Van Oppen, C.: Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Q. 33, 177–195 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computer Science, Jordan University of Science and Technology, Irbid, Jordan

    Walaa Al-Sarayrah & Ahmad Al-Aiad

  2. Faculty of Mass Communication - Department of Radio and Television, Yarmouk University, Irbid, Jordan

    Mohammed Habes

  3. College of Communication and Media, Al Ain University, Al Ain, UAE

    Mokhtar Elareshi

  4. School of Science, Engineering, and Environment, University of Salford, Salford, UK

    Said A. Salloum

  5. Machine Learning and NLP Research Group, Department of Computer Science, University of Sharjah, Sharjah, UAE

    Said A. Salloum

Authors
  1. Walaa Al-Sarayrah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ahmad Al-Aiad
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohammed Habes
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mokhtar Elareshi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Said A. Salloum
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Said A. Salloum .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Computer and Information Faculty, Giza, Egypt

    Aboul-Ella Hassanien

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Kuo-Chi Chang

  3. International Center for Informatics Research, Beijing Jaiotong University, Beijing, China

    Tang Mincong

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Al-Sarayrah, W., Al-Aiad, A., Habes, M., Elareshi, M., Salloum, S.A. (2021). Improving the Deaf and Hard of Hearing Internet Accessibility: JSL, Text-into-Sign Language Translator for Arabic. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_43

Download citation

Publish with us

Policies and ethics

Search

Navigation