University of Oulu

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

CampusTracker : assessing mobile workers' momentary willingness to work on paid crowdsourcing tasks

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Author: Oppenlaender, Jonas1; Hosio, Simo1; Opoku Asare, Kennedy1
Organizations: 1University of Oulu, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019042613349
Language: English
Published: Association for Computing Machinery, 2018
Publish Date: 2019-04-26
Description:

Abstract

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.

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ISBN Print: 978-1-4503-5966-5
Pages: 648 - 653
DOI: 10.1145/3267305.3267550
OADOI: https://oadoi.org/10.1145/3267305.3267550
Host 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
Conference: ACM International Joint Conference on Pervasive and Ubiquitous Computing
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in 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, http://dx.doi.org/10.1145/3267305.3267550.