Skip to main content
SpringerLink
Log in

Futurama

  • Chapter
  • First Online:
Web Accessibility

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

Accessibility has, at its heart, the aim of removing developer and content creator preconceptions as to the technology, people, working environment, and use their systems support. The move to mobile has been nothing but positive for the accessibility of people with a visual disability. Similarly in the next 10 years as the Web becomes a utility, imbedded—embedded and invisible—and as wearables, sensors and the Internet of Things (and the Web, IoW) become more prevalent accessibility will be even more crucial. As the Web becomes more seamless, we will need to look for new ways to convey information in many different environments, and here lessons from accessibility will contribute. We have seen over the last 10 years the expansion from physical and sensory disability through cognitive and ageing to inclusion, and situational impairments. Over the next 10 years, our understanding of assistive technology will change because we cannot build for the many combinations of interactions, technologies, environments and users then assistive technology will just become ubiquitous. More attention will be paid to previously under-represented areas such as cognitive and autism spectrum conditions as well as those surrounding comprehension and people with learning difficulties. These groups have often been overlooked in the past; this is changing and will change significantly in the next 10 years. So in 10 years, we predict that new solutions for emerging technologies will be required, that accessibility research will focus more on cognitive and learning spectrum conditions, that access technology will become more ubiquitous, and that this ubiquity will require automated tooling created by experts to assist in the removal of barriers at scale.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    Disabilities. World Health Organization. https://www.who.int/topics/disabilities/en/.

  2. 2.

    https://www.webfx.com/blog/web-design/zero-ui/.

  3. 3.

    We now have four chapters dedicated to cognitive disability: ‘Cognitive and Learning Disabilities’, ‘The policy and standards centred around Cognitive and Learning Disabilities’, ‘Tools and Applications for Cognitive Accessibility’ and ‘Technologies for Dyslexia’.

References

  • Abou-Zahra S, Brewer J, Cooper M (2018) Artificial intelligence (ai) for web accessibility: is conformance evaluation a way forward? In: Proceedings of the internet of accessible things, W4A ’18, pp 20:1–20:4. ACM, New York, USA. https://doi.org/10.1145/3192714.3192834

  • Berkel NV, Ferreira D, Kostakos V (2017) The experience sampling method on mobile devices. ACM Comput Surv 50(6):93:1–93:40. https://doi.org/10.1145/3123988

    Article  Google Scholar 

  • Brajnik G (2004) Comparing accessibility evaluation tools: a method for tool effectiveness. Univers Access Inf Soc 3(3):252–263. https://doi.org/10.1007/s10209-004-0105-y

    Article  Google Scholar 

  • Brajnik G, Lomuscio R (2007) Samba: a semi-automatic method for measuring barriers of accessibility. In: Assets ’07: Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility, pp 43–50. ACM, New York, USA. https://doi.org/10.1145/1296843.1296853

  • Brajnik G, Yesilada Y, Harper S (2010) Testability and validity of wcag 2.0: the expertise effect. In: Proceedings of the 12th international ACM SIGACCESS conference on computers and accessibility, ASSETS ’10, pp 43–50. ACM, New York, USA. https://doi.org/10.1145/1878803.1878813

  • Brajnik G, Yesilada Y, Harper S (2011a) The expertise effect on web accessibility evaluation methods. Hum Comput Interact 26(3):1–38. https://doi.org/10.1080/07370024.2011.601670

    Article  Google Scholar 

  • Brajnik G, Yesilada Y, Harper S (2011b) Web accessibility guideline aggregation for older users and its validation. Univers Access Inf Soc 10(4):403–423

    Article  Google Scholar 

  • Brajnik G, Yesilada Y, Harper S (2012) Is accessibility conformance an elusive property? A study of validity and reliability of wcag 2.0. ACM Trans Access Comput 4(2):8:1–8:28. https://doi.org/10.1145/2141943.2141946

    Article  Google Scholar 

  • Cady F (2017) The data science handbook. Wiley, New York

    Book  Google Scholar 

  • Collberg C, Proebsting TA (2016) Repeatability in computer systems research. Commun ACM 59(3):62–69. https://doi.org/10.1145/2812803

    Article  Google Scholar 

  • Dey AK, Abowd GD, Salber D (2001) A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Hum Comput Interact 16(2):97–166. https://doi.org/10.1207/S15327051HCI16234_02

    Article  Google Scholar 

  • Donham J (2018) A domain-specific language for microservices. In: Proceedings of the 9th ACM SIGPLAN international symposium on scala, Scala 2018, pp 2–12. ACM, New York, USA. https://doi.org/10.1145/3241653.3241654

  • Duarte C, Salvado A, Akpinar ME, Yeşilada Y, Carriço L (2018) Automatic role detection of visual elements of web pages for automatic accessibility evaluation. In: Proceedings of the Internet of Accessible Things, W4A ’18, pp 21:1–21:4. ACM, New York, USA. https://doi.org/10.1145/3192714.3196827

  • Edwards AD (ed) (1995) Extra-ordinary human-computer interaction. Cambridge university press, Cambridge

    Google Scholar 

  • Eraslan S, Yaneva V, Yesilada Y, Harper S (2017) Do web users with autism experience barriers when searching for information within web pages? In: Proceedings of the 14th web for all conference on the future of accessible work, W4A ’17, pp 20:1–20:4. ACM, New York, USA. https://doi.org/10.1145/3058555.3058566

  • Harper S, Yesilada Y (eds) (2008) Web accessibility: a foundation for research. Springer, Berlin

    Google Scholar 

  • Harper S, Yesilada Y (2011) Web accessibility: current trends, IGI global, pp 172–190. Handbook of research on personal autonomy technologies and disability informatics

    Google Scholar 

  • Jain A, Pecune F, Matsuyama Y, Cassell J (2018) A user simulator architecture for socially-aware conversational agents. In: Proceedings of the 18th international conference on intelligent virtual agents, IVA ’18, pp 133–140. ACM, New York, USA. https://doi.org/10.1145/3267851.3267916

  • Karl KA, Allen RS, White CS, Peluchette JVE, Allen DE (2017) Would you accept a facebook friend request from your boss? Examining generational differences. Int J Virtual Communities Soc Netw 9(1):17–33. https://doi.org/10.4018/IJVCSN.2017010102

    Article  Google Scholar 

  • Martin W, Sarro F, Jia Y, Zhang Y, Harman M (2017) A survey of app store analysis for software engineering. IEEE Trans Softw Eng 43(9):817–847. https://doi.org/10.1109/TSE.2016.2630689

    Article  Google Scholar 

  • Mueller J, Jay C, Harper S, Todd C (2017) The role of web-based health information in help-seeking behavior prior to a diagnosis of lung cancer: a mixed-methods study. J Med Internet Res 19(6):e189. https://doi.org/10.2196/jmir.6336, http://www.jmir.org/2017/6/e189/

    Article  Google Scholar 

  • Mueller J, Davies A, Jay C, Harper S, Blackhall F, Summers Y, Harle A, Todd C (2019) Developing and testing a web-based intervention to encourage early help-seeking in people with symptoms associated with lung cancer. Br J Health Psychol 24(1):31–65. https://doi.org/10.1111/bjhp.12325

    Article  Google Scholar 

  • Rello L (2012) Dyswebxia: a model to improve accessibility of the textual web for dyslexic users. SIGACCESS Access Comput 102:41–44. https://doi.org/10.1145/2140446.2140455

  • Rello L, Ballesteros M (2015) Detecting readers with dyslexia using machine learning with eye tracking measures. In: Proceedings of the 12th web for all conference, W4A ’15, pp 16:1–16:8. ACM, New York, USA. https://doi.org/10.1145/2745555.2746644

  • Sears A, Young M (2003) The human-computer interaction handbook. L. Erlbaum Associates Inc., Hillsdale, USA. Physical disabilities and computing technologies: an analysis of impairments, pp 482–503. http://dl.acm.org/citation.cfm?id=772072.772105

  • Sears LMJJA, Xiao Y (2003) When computers fade... pervasive computing and situationally-induced impairments and disabilities. Proc HCII 2003:1298–1302

    Google Scholar 

  • Sicari S, Rizzardi A, Grieco L, Coen-Porisini A (2015) Security, privacy and trust in internet of things: the road ahead. Comput Netw 76:146–164. https://doi.org/10.1016/j.comnet.2014.11.008, http://www.sciencedirect.com/science/article/pii/S1389128614003971

    Article  Google Scholar 

  • Sorge V, Pearson E (eds) (2018) W4A’18: proceedings of the internet of accessible things. ACM, New York, USA

    Google Scholar 

  • Takayama L, Pantofaru C, Robson D, Soto B, Barry M (2012) Making technology homey: finding sources of satisfaction and meaning in home automation. In: Proceedings of the 2012 ACM conference on ubiquitous computing, UbiComp ’12, pp 511–520. ACM, New York, USA. https://doi.org/10.1145/2370216.2370292

  • W3C (2019) Web of internet, https://www.w3.org/WoT/

  • Wentzel J, Velleman E, van der Geest T (2016) Wearables for all: development of guidelines to stimulate accessible wearable technology design. In: Proceedings of the 13th web for all conference, W4A ’16, pp 34:1–34:4. ACM, New York, USA. https://doi.org/10.1145/2899475.2899496

  • Yaneva V, Ha LA, Eraslan S, Yesilada Y (2018a) Autism and the web: using web-searching tasks to detect autism and improve web accessibility. SIGACCESS Access Comput (121):2:1–2:1. https://doi.org/10.1145/3264631.3264633

  • Yaneva V, Ha LA, Eraslan S, Yesilada Y, Mitkov R (2018b) Detecting autism based on eye-tracking data from web searching tasks. In: Proceedings of the internet of accessible things, W4A ’18, pp 16:1–16:10. ACM, New York, USA. https://doi.org/10.1145/3192714.3192819

  • Yesilada Y, Jay C, Stevens R, Harper S (2008) Validating the use and role of visual elements of web pages in navigation with an eye-tracking study. In: 17th international World Wide Web conference, Beijing, China

    Google Scholar 

  • Yesilada Y, Brajnik G, Vigo M, Harper S (2012) Understanding web accessibility and its drivers. In: Proceedings of the international cross-disciplinary conference on web accessibility, W4A ’12, pp 19:1–19:9. ACM, New York, USA. https://doi.org/10.1145/2207016.2207027

  • Yesilada Y, Brajnik G, Vigo M, Harper S (2013a) Exploring perceptions of web accessibility: a survey approach. Behaviour & Information Technology (just-accepted):1–25

    Google Scholar 

  • Yesilada Y, Harper S, Eraslan S (2013b) Experiential transcoding: An eyetracking approach. In: Proceedings of the 10th international cross-disciplinary conference on web accessibility, W4A ’13, pp 30:1–30:4. ACM, New York, USA. https://doi.org/10.1145/2461121.2461134

  • Zou J, Schiebinger L (2018) Ai can be sexist and racist - it’s time to make it fair. Nature 559(7714):324–326

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Middle East Technical University, Northern Cyprus Campus, 99738, Kalkanlı, Güzelyurt, Mersin 10, Turkey

    Yeliz Yesilada

  2. University of Manchester, Manchester, UK

    Simon Harper

Authors
  1. Yeliz Yesilada
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Simon Harper
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yeliz Yesilada .

Editor information

Editors and Affiliations

  1. Middle East Technical University Northern Cyprus Campus, Güzelyurt, Turkey

    Yeliz Yesilada

  2. School of Computer Science, University of Manchester, Manchester, UK

    Simon Harper

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer-Verlag London Ltd., part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Yesilada, Y., Harper, S. (2019). Futurama. In: Yesilada, Y., Harper, S. (eds) Web Accessibility. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-7440-0_40

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-7440-0_40

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-7439-4

  • Online ISBN: 978-1-4471-7440-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation