人智運算(Human Computation)是近年來最熱門的研究領域之一，而適地性服務(Location-based service)也因此衍生出許多研究議題。由於傳統上在搜集資訊時往往會浪費過多的人力資源，所以我們希望使用者藉由玩遊戲的方式背後完成我們想要的事情。在此篇論文中，我們利用GWAP(Games with a Purpose)的概念設計一套行動地理標籤系統，系統採用玩家分享自身附近景點資訊再透過其他玩家來到相同地點做驗證的方式，讓玩家在一邊玩遊戲的過程中搜集相關地理資訊，另一方面達到景點資訊是可信賴的目的。
然而，對系統而言要如何選題給玩家驗證才能提升整體效能，為了解決這些問題，我們在選題策略上提出三種不同的任務分配演算法，再透過一連串的實驗模擬來證明我們所設計的系統確實能夠在選題上達到好的效能，最後我們考慮到現實生活中可能的情形後將此系統實作在智慧型手機上(Android Phone)。

Human Computation is popular recently and have become one of the hottest research topics, therefore Location-based service also drives a lot of issues. Due to collect information always cause too many manpower- wasted in tradition , so we hoped that the users to complete the things which we want by play game’s way .In this thesis, we based on the concept of ‘Games with a Purpose’(GWAP) to develop a mobile geospatial tagging system, system adopt player share self nearby scenic spots information and then through another players come the same place do the verification, allowing the player to play the game in the side of the process of collecting the relevant geographic information, on the other hand to achieve the purpose of scenic spots information is reliable.
However, how to choose topics for player verification can effectively evaluate the system performance, to solve these problems we propose three different selection strategies on the task assignment algorithms, then through a series of simulation experiments designed to prove that our system can indeed achieve good performance on the topics, finally we take into account real life situations and implement in the smart phone (Android Phone).

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