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On Variety, Complexity, and Engagement in Crowdsourced Disaster Response Tasks
Sofia Eleni Spatharioti
author
Seth Cooper
author
2017
Iscram
Albi, France
English
Crowdsourcing is used to enlist workers as a resource for a variety of applications, including disaster response. However, simple tasks such as image labeling often feel monotonous and lead to worker disengagement. This provides a challenge for designing successful crowdsourcing systems. Existing research in the design of work indicates that task variety is a key factor in worker motivation. Therefore, we asked Amazon Mechanical Turk workers to complete a series of disaster response related subtasks, consisting of either image labeling or locating photographed areas on a map. We varied the frequency at which workers encountered the dierent subtask types, and found that switching subtask type at dierent frequencies impacted measures of worker engagement. This indicates that a certain amount of variety in subtasks may engage crowdsourcing workers better than uniform subtask types.
crowdsourcing
Amazon Mechanical Turk
variety
complexity
engagement
exported from refbase (http://idl.iscram.org/show.php?record=2037), last updated on Mon, 25 Nov 2019 14:32:28 +0100
text
http://idl.iscram.org/files/sofiaelenispatharioti/2017/2037_SofiaEleniSpatharioti+SethCooper2017.pdf
SofiaEleniSpatharioti+SethCooper2017
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management
Iscram 2017
Tina Comes
F
B
editor
14th International Conference on Information Systems for Crisis Response And Management
2017
Iscram
Albi, France
conference publication
489
498
2411-3387
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