Prototype tasks: Improving crowdsourcing results through rapid, iterative task design

Unpublished conference or workshop item


Gaikwad, S.S., Chhibber, N., Sehgal, V., Ballav, A., Mullings, C., Nasser, A., Richmond-Fuller, A., Gilbee, A., Gamage, D., Whiting, M., Zhou, S., Matin, S., Niranga, S., Goyal, S., Majeti, M., Srinivas, P., Ginzberg, A., Mananova, K., Ziulkoski, K., Regino, J., Sarma, S., Sinha, A., Paul, A., Diemer, C., Murag, M., Dai, W., Pandey, M., Vaish, R. and Bernstein, M. 2017. Prototype tasks: Improving crowdsourcing results through rapid, iterative task design.
AuthorsGaikwad, S.S., Chhibber, N., Sehgal, V., Ballav, A., Mullings, C., Nasser, A., Richmond-Fuller, A., Gilbee, A., Gamage, D., Whiting, M., Zhou, S., Matin, S., Niranga, S., Goyal, S., Majeti, M., Srinivas, P., Ginzberg, A., Mananova, K., Ziulkoski, K., Regino, J., Sarma, S., Sinha, A., Paul, A., Diemer, C., Murag, M., Dai, W., Pandey, M., Vaish, R. and Bernstein, M.
Description

Low-quality results have been a long-standing problem on
microtask crowdsourcing platforms, driving away requesters and justifying low wages for workers. To date, workers have been blamed for low-quality results: they are said to make as little effort as possible, do not pay attention to detail, and lack expertise. In this paper, we hypothesize that requesters may also be responsible for low-quality work: they launch unclear task designs that confuse even earnest workers, under-specify edge cases, and neglect to include examples. We introduce prototype tasks, a crowdsourcing strategy requiring all new task designs to launch a small number of sample tasks. Workers attempt these tasks and leave feedback, enabling the requester to iterate on the design before publishing it. We report a field experiment in which tasks that underwent prototype task iteration produced higher-quality work results than the original task designs. With this research, we suggest that a simple and rapid iteration cycle can improve crowd work, and we provide empirical evidence that requester “quality” directly impacts result quality.

KeywordsCrowdsourcing; Task deisgn; Microtasks
Year23 Oct 2017
ConferenceThe fifth AAAI Conference on Human Computation and Crowdsourcing
Official URLhttps://arxiv.org/abs/1707.05645
Web address (URL) of conference proceedingshttps://www.humancomputation.com/2017/papers.html
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Additional information

Stanford Crowd Research Collective
daemo@stanford.edu

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Deposited16 Nov 2020
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