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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Layman, L. Sigurdsson, G. |
| Copyright Year | 2013 |
| Description | Author affiliation: Fraunhofer Center for Exp. Software Eng., College Park, MD, USA (Layman, L.) || Sch. of Comput. Sci., Reykjavik Univ., Reykjavik, Iceland (Sigurdsson, G.) |
| Abstract | Amazon's Mechanical Turk is a crowd sourcing technology that enables requesters to create tasks to be completed by human agents in exchange for compensation. Researchers in computer science have successfully used this service to quickly reach large numbers of subjects for a relatively low cost. However, the Mechanical Turk's model and policies introduce several experimental limitations and threats that must be controlled. In this short paper, we describe limitations imposed using Amazon's Mechanical Turk during an experiment on cyber-attack investigation techniques. While the experiment was successful, we were forced to change our experimental design and had to recover from some costly mistakes. The goal of this short paper is to identify these limitations and pitfalls and provide eight considerations for experimental design so that other researchers can maximize the benefits of using the Mechanical Turk as a research platform. |
| Starting Page | 275 |
| Ending Page | 278 |
| File Size | 289741 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769550565 |
| ISSN | 19386451 |
| DOI | 10.1109/ESEM.2013.42 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | amazon Navigation experimentation user studies Educational institutions Robustness HTML mechanical turk Security study design Qualifications Software engineering |
| Content Type | Text |
| Resource Type | Article |
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