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http://hdl.handle.net/1942/28245
Title: | Scaling Crowdsourcing with Mobile Workforce : A Case Study with Belgian Postal Service | Authors: | Acer Günay, Utku van den Broeck, Marc Forlivesi, Claudio HELLER, Florian Kawsar, Fahim |
Issue Date: | 2019 | Source: | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(2) (Art N° 35) | Abstract: | Traditional urban-scale crowdsourcing approaches suffer from three caveats - lack of complete spatiotemporal coverage, lack of accurate information and lack of sustained engagement of crowd workers. In this paper, we argue that these caveats can be addressed by embedding crowdsourcing tasks into the daily routine of mobile workforces that roam around an urban area. As a use case, we take the bpost who deliver the letters and parcels to the citizens across entire Belgium. We present a study that explores the behavioural attributes of these mobile postal workers both quantitatively (6.3K) and qualitatively (6) to assess the opportunity of leveraging them for crowdsourcing tasks. We report their mobility pattern, workflow, and behavioural traits which collectively inform the design of a purpose-built crowdsourcing solution. In particular, our solution operates on two key techniques - route augmentation, and on-wearable interruptibility management. Together, these mechanisms enhance the spatial coverage, response accuracy and increase workers’ engagement with crowdsourcing tasks. We describe these principal components in a wearable smartwatch application supported by a data management infrastructure. Finally, we report a first-of-its-kind real-world trial with ten postal workers for two weeks to assess the quality of road signs at the city centre of Antwerp. Our findings suggest that our solution was effective in achieving 89% spatial coverage and increasing response rate (83.6%) and accuracy (100%) of the crowdsourcing tasks. Although limited in scale, these and the rest of our findings highlight the way of building an efficient and purposeful crowdsourcing solution of the future. | Document URI: | http://hdl.handle.net/1942/28245 | e-ISSN: | 2474-9567 | DOI: | 10.1145/3328906 | Rights: | Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. 2474-9567/2019/6-ART35 $15.00 | Category: | A1 | Type: | Journal Contribution | Validations: | vabb 2021 |
Appears in Collections: | Research publications |
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SeRGIo_Ubicomp.pdf Restricted Access | Published version | 5.46 MB | Adobe PDF | View/Open Request a copy |
SeRGIo_Ubicomp_Author.pdf | Peer-reviewed author version | 5.46 MB | Adobe PDF | View/Open |
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