人智運算是近年來熱門的研究領域之ㄧ,隨著科技快速的進步手機硬體之體積不斷減少,功能不斷增加情形下,手機已經成為人類日常生活不可或缺的要素。因此我們希望利用手機來幫助我們透過遊戲的方式來達到我們的目的。 在這篇論文中我們在基於目的性遊戲(Games with a Purpose)的設計概念,在手機上開發系統並且達到收集資訊的目的。此系統讓使用者們可以樂於分享景點的資訊,其他玩家也可以共同來驗證由玩家們所上傳的景點資訊;而我們的目的則是要產生出可以信任的景點資訊提供給玩家做參觀景點的參考。 然而如何選擇目前最適當的景點資訊分派給玩家做驗證,才能使系統快速產生可信任之資訊。為了探討這個議題,我們提出了三個不同的演算法來分派任務給玩家驗證。並且作了一系列的模擬實驗來證明,我們提出的演算法確實提升系統產生可信任資訊之效能。最後我們將系統實作於智慧型手機上(Android Phone),並驗證了其結果與模擬實驗是一致的。 / Human Computation is one of the hottest research topics in recent years. At the same time, smart phones become indispensable with our daily life, due to advanced hardware technology. Therefore, to design a mobile game on smart phones to help us achieve the research purpose is our goal of this work. In this thesis, we adopt the approach of “Game with a Purpose “(GWAP) to collect the data that the system needs as users play a ”game”. The data here is Point-of-Interest (POI) information. Users share their POI information on the mobile system, and other players can verify it in order to come out with reliable POI information for further use. The research issue will be how to produce reliable information as quickly as possible, and also make sure the output is as correct as possible. The problem is how to assign appropriate information for a player to verify so as to improve the system performance. We proposed three different algorithms and went through a series of simulation experiments. The results showed that the Modify Lowest Disagree First and Highest Confidence Assignment (MLDF-HCA) algorithm performs best. We also implemented an Android App based on the algorithms. The real experiments did validate the simulation results.