| Secure distributed human computation |
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Electronic Commerce
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Proceedings of the 6th ACM conference on Electronic commerce
table of contents
Vancouver, BC, Canada
Pages: 155 - 164
Year of Publication: 2005
ISBN:1-59593-049-3
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Downloads (6 Weeks): 11, Downloads (12 Months): 100, Citation Count: 4
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ABSTRACT
This paper is a preliminary exploration of secure distributed human computation. We consider the general paradigm of using large-scale distributed computation to solve difficult problems, but where humans can act as agents and provide candidate solutions. We are especially motivated by problem classes that appear to be difficult for computers to solve effectively, but are easier for humans; e.g., image analysis, speech recognition, and natural language processing. This paradigm already seems to be employed in several real-world scenarios, but we are unaware of any formal and unified attempt to study it. Nonetheless, this concept spawns interesting research questions in algorithm design, human computer interfaces, and programming language / API design, distributed systems, and cryptography, among other fields. There are also interesting implications for Internet commerce and the B24b model. We describe this research area and suggest a basic framework for the design of such systems. We analyze security and reliability against malicious parties using standard probability theory tools. We then derive design principles using standard decision-theory concepts. Finally, we list extensions and open problems.
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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CITED BY 4
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Qi Su , Dmitry Pavlov , Jyh-Herng Chow , Wendell C. Baker, Internet-scale collection of human-reviewed data, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada
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Yang Yang , Bin B. Zhu , Rui Guo , Linjun Yang , Shipeng Li , Nenghai Yu, A comprehensive human computation framework: with application to image labeling, Proceeding of the 16th ACM international conference on Multimedia, October 26-31, 2008, Vancouver, British Columbia, Canada
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