Improving Character Recognition by the Crowd Workers via Corrective Feedback

Authors

Bijoly Saha Bhattacharya, Indian Institute of Engineering Science and Technology, Shibpur
Biswajit Mandal, Indian Statistical Institute, Kolkata
Arindam Biswas, Indian Institute of Engineering Science and Technology, Shibpur
Malay Bhattacharyya, Indian Statistical Institute, Kolkata

Document Type

Conference Article

Publication Title

Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

Abstract

Crowdsourcing is often used as a microtasking platform for solving various complex and monotonic tasks. Notably, in almost every crowdsourcing platform, submission of solution against a requested task is ended with insufficient or no feedback. This might lead to a significant misunderstanding between the requester and crowd workers. In this paper, we address the problem of character recognition with corrective feedback mechanism. This provides a scope to improve the submitted solution and helps in establishing a healthy understanding between the requester and the crowd workers toward quality control. Our results demonstrate that the same mechanism also helps to train new crowd workers in the platform.

First Page

3982

Last Page

3985

DOI

10.1109/BigData55660.2022.10020560

Publication Date

1-1-2022

Recommended Citation

Saha Bhattacharya, Bijoly; Mandal, Biswajit; Biswas, Arindam; and Bhattacharyya, Malay, "Improving Character Recognition by the Crowd Workers via Corrective Feedback" (2022). Conference Articles. 412.
https://digitalcommons.isical.ac.in/conf-articles/412