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On Variety, Complexity, and Engagement in Crowdsourced Disaster Response Tasks
Sofia Eleni Spatharioti
Seth Cooper
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
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.
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=On%20Variety%2C%20Complexity%2C%20and%20Engagement%20in%20Crowdsourced%20Disaster%20Response%20Tasks&stitle=Iscram%202017&issn=2411-3387&date=2017&spage=489&epage=498&aulast=Sofia%20Eleni%20Spatharioti&au=Seth%20Cooper&pub=Iscram&place=Albi%2C%20France&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=2037
citekey:SofiaEleniSpatharioti+SethCooper2017
citation:Sofia Eleni Spatharioti, & Seth Cooper. (2017). On Variety, Complexity, and Engagement in Crowdsourced Disaster Response Tasks. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 489-498). Albi, France: Iscram.
2017
ConferencePaper
text
crowdsourcing
Amazon Mechanical Turk
variety
complexity
engagement
file:http://idl.iscram.org/files/sofiaelenispatharioti/2017/2037_SofiaEleniSpatharioti+SethCooper2017.pdf
Iscram
English
2411-3387
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management
2017
489
498
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