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2018 | OriginalPaper | Chapter

CrowdAE: A Crowdsourcing System with Human Inspection Quality Enhancement for Web Accessibility Evaluation

Authors : Liangcheng Li, Jiajun Bu, Can Wang, Zhi Yu, Wei Wang, Yue Wu, Chunbin Gu, Qin Zhou

Published in: Computers Helping People with Special Needs

Publisher: Springer International Publishing

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Abstract

Crowdsourcing technology can help manual testing by soliciting the contributions from volunteer evaluators. But crowd evaluators may give inaccurate or invalid evaluation results. This paper proposes an advanced crowdsourcing-based web accessibility evaluation system called CrowdAE by enhancing the crowdsourcing-based manual testing module of the previous version. Through three main process namely learning system, task assignment and task review, we can improve the quality of evaluation results from the crowd. From the comparison on the two years’ evaluation process of Chinese government websites, our CrowdAE outperforms the previous version and improve the accuracy of the evaluation results.

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previous chapter A Public Barrier Tracker to Support the Web Accessibility Directive

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Title: CrowdAE: A Crowdsourcing System with Human Inspection Quality Enhancement for Web Accessibility Evaluation
Authors: Liangcheng Li
Jiajun Bu
Can Wang
Zhi Yu
Wei Wang
Yue Wu
Chunbin Gu
Qin Zhou
Publisher: Springer International Publishing
Book: Computers Helping People with Special Needs
Print ISBN: 978-3-319-94276-6

Electronic ISBN: 978-3-319-94277-3

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-94277-3_5