Playing GWAP with strategies - using ESP as an example

• Main Authors: Wen-Yuan Zhu, 朱文園
• Other Authors: Ling-Jyh Chen
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/xm2cg4

碩士 === 國立臺灣師範大學 === 資訊工程研究所 === 97 === “Human Computation” is an innovative concept in computer science. The idea is there is a lot of things that human can easy do that computers can not yet do. In 2004, the ESP game has been launched and it created an emerging field, Games With A Purpose (GWAP), in computer science. The objective of GWAP is creating difficult metadata when players are playing the game voluntarily. This thesis presents how to enhance GWAP systems. In this thesis, we use the ESP game as an example and propose a puzzle selection algorithm, Optimal Puzzle Selection Algorithm (OPSA), to enhance the ESP game system. For validating our proposed algorithm, OPSA, which actually enhances the ESP game system in real world, we implement a quasi ESP game, called ESP Lite. During a two-month experiment, we investigated the inner properties of the OPSA, and verified that the OPSA scheme achieves the best system gain for the ESP game system. The results of this thesis also confirm that GWAP systems are more efficient if they are designed and played with strategies.