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A method to automate the ranking of web pages according to user defined accessibility ratings

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

A method to automate the ranking of web pages according to user defined accessibility ratings. / Good, Alice.

Universal access in human-computer interaction: intelligent and ubiquitous interaction environments. ed. / C. Stephanidis. Vol. 6765 5615. ed. Berlin : Springer, 2011. p. 235-243 (Lecture notes in computer science; No. 5615).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Good, A 2011, A method to automate the ranking of web pages according to user defined accessibility ratings. in C Stephanidis (ed.), Universal access in human-computer interaction: intelligent and ubiquitous interaction environments. 5615 edn, vol. 6765, Lecture notes in computer science, no. 5615, Springer, Berlin, pp. 235-243. https://doi.org/10.1007/978-3-642-21672-5_26

APA

Good, A. (2011). A method to automate the ranking of web pages according to user defined accessibility ratings. In C. Stephanidis (Ed.), Universal access in human-computer interaction: intelligent and ubiquitous interaction environments (5615 ed., Vol. 6765, pp. 235-243). (Lecture notes in computer science; No. 5615). Springer. https://doi.org/10.1007/978-3-642-21672-5_26

Vancouver

Good A. A method to automate the ranking of web pages according to user defined accessibility ratings. In Stephanidis C, editor, Universal access in human-computer interaction: intelligent and ubiquitous interaction environments. 5615 ed. Vol. 6765. Berlin: Springer. 2011. p. 235-243. (Lecture notes in computer science; 5615). https://doi.org/10.1007/978-3-642-21672-5_26

Author

Good, Alice. / A method to automate the ranking of web pages according to user defined accessibility ratings. Universal access in human-computer interaction: intelligent and ubiquitous interaction environments. editor / C. Stephanidis. Vol. 6765 5615. ed. Berlin : Springer, 2011. pp. 235-243 (Lecture notes in computer science; 5615).

Bibtex

@inbook{47a2a59dddeb48b1a798691a3bfeb1b5,
title = "A method to automate the ranking of web pages according to user defined accessibility ratings",
abstract = "The premise of this research is to present the final results of an investigation, which looked at a means to automate the rating of web pages according to their accessibility to specific user groups. These groups include visual impairments, mobility restricted and dyslexia. This research identifies three integrated, user-centred studies that assisted in the development of this work. The research conducted for this project has collected data that will help to develop a better method for disabled users to search for and easily locate accessible web pages. It has investigated how web pages can be rated for accessibility using specific algorithms that have designed according to user defined ratings of accessibility. The results presented in this paper demonstrate that re-ordering search results, by ranking web pages according to user defined ratings, could provide a better user experience for people with disabilities.",
keywords = "Disabilities, impairments",
author = "Alice Good",
note = "Additional Information: DOI: 10.1007/978-3-642-21672-5_26.",
year = "2011",
month = jul,
doi = "10.1007/978-3-642-21672-5_26",
language = "English",
isbn = "9783642027093",
volume = "6765",
series = "Lecture notes in computer science",
publisher = "Springer",
number = "5615",
pages = "235--243",
editor = "C. Stephanidis",
booktitle = "Universal access in human-computer interaction: intelligent and ubiquitous interaction environments",
edition = "5615",

}

RIS

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T1 - A method to automate the ranking of web pages according to user defined accessibility ratings

AU - Good, Alice

N1 - Additional Information: DOI: 10.1007/978-3-642-21672-5_26.

PY - 2011/7

Y1 - 2011/7

N2 - The premise of this research is to present the final results of an investigation, which looked at a means to automate the rating of web pages according to their accessibility to specific user groups. These groups include visual impairments, mobility restricted and dyslexia. This research identifies three integrated, user-centred studies that assisted in the development of this work. The research conducted for this project has collected data that will help to develop a better method for disabled users to search for and easily locate accessible web pages. It has investigated how web pages can be rated for accessibility using specific algorithms that have designed according to user defined ratings of accessibility. The results presented in this paper demonstrate that re-ordering search results, by ranking web pages according to user defined ratings, could provide a better user experience for people with disabilities.

AB - The premise of this research is to present the final results of an investigation, which looked at a means to automate the rating of web pages according to their accessibility to specific user groups. These groups include visual impairments, mobility restricted and dyslexia. This research identifies three integrated, user-centred studies that assisted in the development of this work. The research conducted for this project has collected data that will help to develop a better method for disabled users to search for and easily locate accessible web pages. It has investigated how web pages can be rated for accessibility using specific algorithms that have designed according to user defined ratings of accessibility. The results presented in this paper demonstrate that re-ordering search results, by ranking web pages according to user defined ratings, could provide a better user experience for people with disabilities.

KW - Disabilities

KW - impairments

U2 - 10.1007/978-3-642-21672-5_26

DO - 10.1007/978-3-642-21672-5_26

M3 - Chapter (peer-reviewed)

SN - 9783642027093

VL - 6765

T3 - Lecture notes in computer science

SP - 235

EP - 243

BT - Universal access in human-computer interaction: intelligent and ubiquitous interaction environments

A2 - Stephanidis, C.

PB - Springer

CY - Berlin

ER -

ID: 86321