An analytical study of Puzzle Selection strategies for the ESP game

Ling Jyh Chen, Bo Chun Wang, Kuan Ta Chen, Irwin King, Jimmy Lee

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

"Human Computation" represents a new paradigm of applications that take advantage of people's desire to be entertained and produce useful metadata as a by-product. By creating games with a purpose, human computation has shown promise in solving a variety of problems that computer computation cannot currently resolve completely. Using the ESP game as an example, we propose a metric, called system gain, for evaluating the performance of human computation systems, and also use analysis to study the properties of the ESP game. We argue that human computation systems should be played with a strategy. To this end, we implement an Optimal Puzzle Selection Strategy (OPSA) based on our analysis to improve human computation. Using a comprehensive set of simulations, we demonstrate that the proposed OPSA approach can effectively improve the system gain of the ESP game, as long as the number of puzzles in the system is sufficiently large.

原文英語
主出版物標題Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
頁面180-183
頁數4
DOIs
出版狀態已發佈 - 2008 十二月 1
事件2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW, 澳大利亚
持續時間: 2008 十二月 92008 十二月 12

出版系列

名字Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

其他

其他2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
國家/地區澳大利亚
城市Sydney, NSW
期間2008/12/092008/12/12

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電腦科學應用
  • 電氣與電子工程

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