CampusTracker

Abstract

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In mobile crowdsourcing, labour can be opportunistically elicited by sending notifications to workers who complete tasks on-the-go. While much work has focused on optimizing the work quality and quantity in mobile crowdsourcing, surprisingly few studies have explored the type of tasks that might be suitable for different user contexts. This paper presents results from a proof-of-concept user study that aimed to uncover where, when and what type of tasks mobile workers are willing to complete. We find that different contexts do affect the type of work users are willing to complete. Finally, we lay out a complete design, key challenges and opportunities for a longer field trial that we hope to conduct in the near-future.

Authors:
Oppenlaender Jonas, Hosio Simo, Opoku Asare Kennedy

Publication type:
A4 Article in conference proceedings

Place of publication:
Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (UbiComp ’18). October 8-12, 2018, Singapore

Keywords:
Ecological momentary assessment, Experience sampling method, Mobile crowdsourcing

Published:

Full citation:
Jonas Oppenlaender, Kennedy Opoku Asare, and Simo Hosio. 2018. CampusTracker: Assessing Mobile Workers’ Momentary Willingness to Work on Paid Crowdsourcing Tasks. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (UbiComp ’18). ACM, New York, NY, USA, 648-653. DOI: https://doi.org/10.1145/3267305.3267550

DOI:
https://doi.org/10.1145/3267305.3267550

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2019042613349