Skip to main content

Artificial Intelligence, Accessible and Assistive Technologies

Introduction to the Special Thematic Session

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12376)

Abstract

Artificial intelligence (AI) has been around for at least 70 years, as have digital technologies and yet the hype around AI in recent years has begun to make some wary of its impact on their daily lives. However, in this special thematic session authors will be illustrating how increased speed of data crunching and the use of complex algorithms have boosted the potential for systems to be used in ways that can be helpful in unexpected ways, in particular when thinking about assistive technologies. The black box nature of AI may be alarming; with its apparent lack of transparency, but it has enormous potential to make digital content, services and systems more accessible and helpful for people with disabilities. The following series of papers related to these issues propose new and innovative ways of overcoming concerning issues with positive approaches to reducing barriers for those with disabilities.

Keywords

  • Artificial intelligence
  • Disabled
  • Machine learning
  • Natural language processing
  • Accessibility
  • Assistive technology

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-58796-3_7
  • Chapter length: 6 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   84.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-58796-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   109.99
Price excludes VAT (USA)

Notes

  1. 1.

    https://www.w3.org/TR/WCAG21/.

References

  1. Katyal, S.K.: Artificial intelligence, advertising, and disinformation. Adv. Soc. Q. 20(4) (2019)

    Google Scholar 

  2. EDF report “Plug and Pray? A disability perspective on artificial intelligence, automated decision-making and emerging technologies” (2018). http://www.edf-feph.org/sites/default/files/edf-emerging-tech-report-accessible.pdf. Accessed 14 June 2020

  3. Zimmermann, G., Brenner, P., Janssen, N.: AI bias in gender recognition of face images: study on the impact of the IBM AI fairness 360 toolkit. J. Tech. Disab. 31(Special Issue: AAATE 2019 Conference - Global Challenges in Assistive Technology: Research, Policy & Practice. The 15th International Conference of the Association for the Advancement of Assistive Technology in Europe (AAATE)), 39 (2019). https://doi.org/10.3233/TAD-190001

  4. Zumstein, D. Hundertmark, S.: Chatbots -an interactive technology for personalized communication, transactions and services. IADIS Int. J. WWW/Internet 15(1) (2017)

    Google Scholar 

  5. Otter, D.W., Medina, J.R., Kalita, J.K.: A survey of the usages of deep learning for natural language processing. IEEE Trans. Neural Netw. Learn. Syst. (2020)

    Google Scholar 

  6. Liyanagunawardena, T.R.: Automatic transcription software: good enough for accessibility? A case study from built environment education. In: European Distance and E-Learning Network (EDEN) Conference Proceedings, no. 1, pp. 388–396. European Distance and E-Learning Network (2019)

    Google Scholar 

  7. Ciobanu, D., Secară, A.: Speech recognition and synthesis technologies in the translation workflow. In: The Routledge Handbook of Translation and Technology (2019)

    Google Scholar 

  8. IFLA: Guidelines for easy-to-read materials. International Federation of Library Association and Institutions IFLA Professional reports 120. Revision by Misako Nomura, Gyda Skat Nielsen and Bror Tronbacke (2010)

    Google Scholar 

  9. Wang, T., Chen, P., Rochford, J., Qiang, J.: Text simplification using neural machine translation: association for the advancement of artificial intelligence (AAAI). In: Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA (2016)

    Google Scholar 

  10. https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/11944/12251. Accessed 14 June 2020

  11. Lundälv, M., Derbring, S.: AAC vocabulary standardisation and harmonisation. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds.) ICCHP 2012. LNCS, vol. 7383, pp. 303–310. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31534-3_46

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. A. Draffan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Draffan, E.A., Heumader, P. (2020). Artificial Intelligence, Accessible and Assistive Technologies. In: Miesenberger, K., Manduchi, R., Covarrubias Rodriguez, M., Peňáz, P. (eds) Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science(), vol 12376. Springer, Cham. https://doi.org/10.1007/978-3-030-58796-3_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-58796-3_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58795-6

  • Online ISBN: 978-3-030-58796-3

  • eBook Packages: Computer ScienceComputer Science (R0)