@inproceedings{5dc8f15451fa4d9d864e16cfeecb1203,
title = "Task relevance and diversity as worker motivation in crowdsourcing",
abstract = "Task assignment is a central component in crowdsourcing. Organizational studies have shown that worker motivation in completing tasks has a direct impact on the quality of individual contributions. In this work, we examine motivation-Aware task assignment in the presence of a set of workers. We propose to model motivation as a balance between task relevance and task diversity and argue that an adaptive approach to task assignment can best capture the evolving nature of motivation. Worker motivation is observed and task assignment is revisited appropriately across iterations. We prove the problem to be NP-hard as well as MaxSNP-Hard and develop efficient approximation algorithms with provable guarantees. Our experiments with synthetic data examine the scalability of our algorithms, and our live real data experiments show that capturing motivation using relevance and diversity leads to high crowdwork quality.",
keywords = "Crowdsourcing",
author = "Julien Pilourdault and Sihem Amer-Yahia and {Basu Roy}, Senjuti and Dongwon Lee",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",
year = "2018",
month = oct,
day = "24",
doi = "10.1109/ICDE.2018.00041",
language = "English (US)",
series = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "365--376",
booktitle = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
address = "United States",
}