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A Required Work Payment Scheme for Crowdsourced Disaster Response: Worker Performance and Motivations
Sofia Eleni Spatharioti
author
Rebecca Govoni
author
Jennifer S. Carrera
author
Sara Wylie
author
Seth Cooper
author
2017
Iscram
Albi, France
English
Crowdsourcing is an increasingly popular approach for processing data in response to disasters. While volunteer crowdsourcing may suÿce for high-profile disasters, paid crowdsourcing may be necessary to recruit workers for less prominent events. Thus, understanding the impact of payment schemes on worker behavior and motivation may improve outcomes. In this work, we presented workers recruited from Amazon Mechanical Turk with a disaster response task in which they could provide a variable number of image ratings. We paid workers a fixed amount to provide a minimum number of image ratings, allowing them to voluntarily provide more if desired; this allowed us to examine the impact of dierent amounts of required work. We found that requiring no ratings resulted in workers voluntary completing more work, and being more likely to indicate motivation related to interest on a post survey, than when small numbers of ratings were required. This is consistent with the motivational crowding-out eect, even in paid crowdsourcing. We additionally found that providing feedback on progress positively impacted the amount of work done.
crowdsourcing
Amazon Mechanical Turk
payment
motivation
required work
exported from refbase (http://idl.iscram.org/show.php?record=2036), last updated on Mon, 25 Nov 2019 14:32:19 +0100
text
http://idl.iscram.org/files/sofiaelenispatharioti/2017/2036_SofiaEleniSpatharioti_etal2017.pdf
SofiaEleniSpatharioti_etal2017
Proceedings of the 14th International Conference on Iformation 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
475
488
2411-3387
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