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Crowdsourcing user studies with Mechanical Turk
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Conference on Human Factors in Computing Systems archive
Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems table of contents
Florence, Italy
SESSION: Data Collection table of contents
Pages 453-456  
Year of Publication: 2008
ISBN:978-1-60558-011-1
Authors
Aniket Kittur  PARC, Palo Alto, CA, USA
Ed H. Chi  PARC, Palo Alto, CA, USA
Bongwon Suh  PARC, Palo Alto, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Benkler, Y. 2002. Coase's penguin,or Linux and the nature of the firm. Yale Law Journal 112, 367--445.
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CITED BY  12

Collaborative Colleagues:
Aniket Kittur: colleagues
Ed H. Chi: colleagues
Bongwon Suh: colleagues