Article

Improving the outcomes of students with cognitive and learning disabilities: phase I development for a web accessibility tool

Authors:

Aaron Andersen,

Cyndi RowlandAuthors Info & Claims

Assets '07: Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility

Pages 221 - 222

https://doi.org/10.1145/1296843.1296882

Published: 15 October 2007 Publication History

Abstract

The authors will present empirically-derived draft technical specifications for a suite of tools to evaluate the cognitive load of a Web page. By adding this suite to the existing open-source WAVE (Web Accessibility Versatile Evaluator), it will be possible to increase the awareness of Web developers to the needs of users with cognitive disabilities. Participants are encouraged to comment on the draft specifications as part of an overall research methodology to include stakeholders at all levels of the development of the tool.

References

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Mariger, H. (2006, June). National Center on Disability and Access to Education Newsletter. Cognitive disabilities and the Web: Where accessibility and usability meet. {Online} Available: http://www.ncdae.org/community/newsletter/june2006

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Digital Library

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Rainger, P. (2003). A dyslexic perspective on e-content accessibility. Tech-Dis. Online {available}: http://www.techdis.ac.uk/seven/papers/dyslexia.html

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Seeman, L. (May, 2002). Inclusion of Cognitive Disabilities in the Web Accessibility Movement. Paper presented at the 11th International World Wide Web Conference, Honolulu: HI. Online {available}: http://www.ubaccess.com/cog.html

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Cited By

Cormer MMann RMoffatt KCohen R(2017)Towards an Improved Vision-Based Web Page Segmentation Algorithm2017 14th Conference on Computer and Robot Vision (CRV)10.1109/CRV.2017.38(345-352)Online publication date: May-2017
https://doi.org/10.1109/CRV.2017.38
Cormier MMann RCohen RMoffatt K(2016)Classification via Hidden Markov Trees for a Vision-Based Approach to Conveying Webpages to Users with Assistive Needs2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2016.0124(695-700)Online publication date: Oct-2016
https://doi.org/10.1109/WI.2016.0124
Costa DCarriço LDuarte C(2015)The Differences in Accessibility of TV and Desktop Web Applications from the Perspective of Automated EvaluationProcedia Computer Science10.1016/j.procs.2015.09.28367(388-396)Online publication date: 2015
https://doi.org/10.1016/j.procs.2015.09.283
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Index Terms

Improving the outcomes of students with cognitive and learning disabilities: phase I development for a web accessibility tool
1. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
      1. User centered design
2. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Assistive technologies
  2. User characteristics
    1. People with disabilities

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cover image ACM Conferences

Assets '07: Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility

October 2007

282 pages

ISBN:9781595935731

DOI:10.1145/1296843

General Chair:
Enrico Pontelli
New Mexico State University, USA
,
Program Chair:
Shari Trewin
IBM T.J. Watson Research Center, USA

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 October 2007

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ASSETS07

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ASSETS07: The 9th International ACM SIGACCESS Conference on Computers and Accessibility

October 15 - 17, 2007

Arizona, Tempe, USA

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Cited By

Cormer MMann RMoffatt KCohen R(2017)Towards an Improved Vision-Based Web Page Segmentation Algorithm2017 14th Conference on Computer and Robot Vision (CRV)10.1109/CRV.2017.38(345-352)Online publication date: May-2017
https://doi.org/10.1109/CRV.2017.38
Cormier MMann RCohen RMoffatt K(2016)Classification via Hidden Markov Trees for a Vision-Based Approach to Conveying Webpages to Users with Assistive Needs2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2016.0124(695-700)Online publication date: Oct-2016
https://doi.org/10.1109/WI.2016.0124
Costa DCarriço LDuarte C(2015)The Differences in Accessibility of TV and Desktop Web Applications from the Perspective of Automated EvaluationProcedia Computer Science10.1016/j.procs.2015.09.28367(388-396)Online publication date: 2015
https://doi.org/10.1016/j.procs.2015.09.283
Alzubaidi LElhassan AAlghazo J(2013)Enhancing Computer Accessibility for Disabled Users: A Kinect-Based Approach for Users with Motor Skills Disorder2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences10.1109/NOORIC.2013.33(113-117)Online publication date: Dec-2013
https://doi.org/10.1109/NOORIC.2013.33
McCarthy JSwierenga S(2010)What we know about dyslexia and Web accessibility: a research reviewUniversal Access in the Information Society10.1007/s10209-009-0160-59:2(147-152)Online publication date: 1-Jun-2010
https://dl.acm.org/doi/10.1007/s10209-009-0160-5
Kuksenok KMankoff JTrewin SMcCoy K(2009)End-user moderation of cognitive accessibility in online communitiesProceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility10.1145/1639642.1639691(233-234)Online publication date: 25-Oct-2009
https://dl.acm.org/doi/10.1145/1639642.1639691
Coppin P(2008)Developing drawing and visual thinking strategies to enhance computer programming for people with dyslexiaProceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing10.1109/VLHCC.2008.4639104(266-267)Online publication date: 15-Sep-2008
https://dl.acm.org/doi/10.1109/VLHCC.2008.4639104

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