DOCTORAL SEMINAR

UNDERSTANDING AND FACILITATING TASK DESIGN IN MICROTASK CROWDSOURCING

Speaker
Ms Chen Chen
Supervisor
Dr Zhao Shengdong, Associate Professor, School of Computing


  21 Feb 2018 Wednesday, 03:00 PM to 04:30 PM

 Executive Classroom, COM2-04-02

Abstract:

Microtask crowdsourcing, as a major format of crowdsourcing, has emerged as a popular research topic, with the emergence of platforms such as Ama- zon Mechanical Turk (MTurk) and CrowdFlower (CF). However, microtask crowdsourcing are not really widely used in daily jobs. From the literature review, we found that it might be because it was difficult for most requesters to design and create crowdsourcing solution, especially when there involves content manipulation in the microtasks and workflows among the microtasks, with current microtask creation toolkits.

To bridge the gaps, this thesis develops a functional and easy-to-use toolkit to design microtasks with different workflows. The specific objectives of the research are to:

- study the specific characteristics of content manipulation microtasks and the specific mechanism of design them with workflows.
- propose "programming by example" approach for designing content manipulation microtasks with workflows.
- develop a working system which applies the alternative approach and supports the whole designing process.
- investigate different usage scenarios by utilizing the system.

Overall, this thesis contributes to a better understanding of the whole process of designing microtasks with workflows and opens up new avenues for exploring the microtask design methods.