Abstract
Situated crowdsourcing has been growing in popularity as an alternative way to collect complex and often creative crowd work. However, previous situated crowdsourcing deployments have not successfully leveraged cooperation possibilities with their audiences, which can improve the data quality of deployed macrotasks. In this chapter, we present three situated crowdsourcing case studies that used different situated technologies and identify the reasons behind their missteps regarding promoting cooperation between workers. Then, based on the identified issues, we propose the design of a novel situated crowdsourcing platform that aims to effectively support cooperation without alienating solo workers. In order to gather insights on our proposed design, we built a prototype platform and evaluated it using a laboratory study with 24 participants. In general, participants were positive about the idea as it provided an easy way to cooperate with friends when completing tasks, while also allowing them to adjust the working environment to their liking. Finally, we conclude by offering insights towards improving cooperation in future situated crowdsourcing deployments and how this can assist in completing macrotasks.
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Acknowledgements
This work is partially funded by the Academy of Finland (286386-CPDSS, 285459-iSCIENCE), the European Commission (Grant 6AIKA-A71143-AKAI), and Marie Skłodowska-Curie Actions (645706-GRAGE).
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Goncalves, J., Hosio, S., van Berkel, N., Klakegg, S. (2019). Addressing Cooperation Issues in Situated Crowdsourcing. In: Khan, VJ., Papangelis, K., Lykourentzou, I., Markopoulos, P. (eds) Macrotask Crowdsourcing. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-030-12334-5_4
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DOI: https://doi.org/10.1007/978-3-030-12334-5_4
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