A task assignment strategy for crowdsourcing-based web accessibility evaluation system

Author:

Li Liangcheng1,Wang Can1,Song Shuyi1,Yu Zhi1,Zhou Fenqin1,Bu Jiajun1

Affiliation:

1. Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou, China

Funder

Zhejiang Provincial Natural Science Foundation of China

National Key Technology R&D Program

Publisher

ACM

Reference18 articles.

1. A crowdsourcing platform for the construction of accessibility maps

2. David R. K. Sewoong O. and Devavrat S. 2011. Iterative Learning for Reliable Crowdsourcing Systems. Neural Information Processing Systems (NIPS '11). David R. K. Sewoong O. and Devavrat S. 2011. Iterative Learning for Reliable Crowdsourcing Systems. Neural Information Processing Systems (NIPS '11).

3. On web accessibility evaluation environments

4. Giorgio B. Yeliz Y. and Simon H. 2011. The Expertise Effect on Web Accessibility Evaluation Methods Human--Computer Interaction. Giorgio B. Yeliz Y. and Simon H. 2011. The Expertise Effect on Web Accessibility Evaluation Methods Human--Computer Interaction.

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1. A Declarative Model for Web Content Accessibility Evaluation Process;Lecture Notes in Computer Science;2024

2. Accessibility engineering in web evaluation process: a systematic literature review;Universal Access in the Information Society;2023-01-27

3. The practice of applying AI to benefit visually impaired people in China;Communications of the ACM;2021-11

4. End-User Evaluations;Human–Computer Interaction Series;2019

5. Crowdsourcing-Based Web Accessibility Evaluation with Golden Maximum Likelihood Inference;Proceedings of the ACM on Human-Computer Interaction;2018-11

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