Crowdsourcing user studies with Mechanical Turk

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Crowdsourcing user studies with Mechanical Turk (2008)

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by Aniket Kittur , H. Chi , Bongwon Suh

Venue:	Proc. CHI 2008, ACM Pres
Citations:	461 - 8 self

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@INPROCEEDINGS{Kittur08crowdsourcinguser,
    author = {Aniket Kittur and H. Chi and Bongwon Suh},
    title = {Crowdsourcing user studies with Mechanical Turk},
    booktitle = {Proc. CHI 2008, ACM Pres},
    year = {2008},
    pages = {453--456}
}

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Abstract

User studies are important for many aspects of the design process and involve techniques ranging from informal surveys to rigorous laboratory studies. However, the costs involved in engaging users often requires practitioners to trade off between sample size, time requirements, and monetary costs. Micro-task markets, such as Amazon’s Mechanical Turk, offer a potential paradigm for engaging a large number of users for low time and monetary costs. Here we investigate the utility of a micro-task market for collecting user measurements, and discuss design considerations for developing remote micro user evaluation tasks. Although micro-task markets have great potential for rapidly collecting user measurements at low costs, we found that special care is needed in formulating tasks in order to harness the capabilities of the approach.

Keyphrases

mechanical turk user study micro-task market monetary cost user measurement many aspect low cost rigorous laboratory study sample size great potential informal survey time requirement large number potential paradigm design process special care low time design consideration remote micro user evaluation task

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