現今消費性電子已經成為我們生活上不可或缺的一部分。隨著消費性電子設備及網路品質的快速發展，應用軟體會經常在行動裝置上從網際網路或內部儲存空間存取大量的資料。在Android平台上表列式使用者介面經常被使用於呈現這些大量的資料。然而，根據近期有關效能問題的研究指出，表列式使用者介面常用的資料處理機制非常遲緩。本論文針對表列式使用者介面提出LDVI機制來改善其大量資料處理的效能。此論文提出的機制透過內容分割及資料平行化處理大量資料，它在表列式使用者介面中動態載入可見的項目並且排除掉冗餘不可見的項目，不論增加多少項目，對於在表列式使用者介面上的每一次滾動事件，LDVI機制會在一個固定的範圍內穩定地消耗系統資源而不會持續提高其系統資源消耗。換句話說，本機制不僅改善了表列式使用者介面的操作也呈現更好的使用者體驗。此外，LDVI機制在Android平台上已經被實作為一個架構，在我們的實驗中，LDVI機制的CPU活動率被保持在7.80-9.30%且其平均值為8.71%，與常使用的機制相比，LDVI機制的資料處理效能提高至少5.18%且CPU活動率降低至少6.26%。

Nowadays, consumer electronics are pervasive and regarded as an indispensable part of our daily life. With the rapid development of the devices and the quality of network connectivity, accessing abundant data from Internet and internal storages on mobile device applications is very usual. List-style user interface is often used to perform the data on Android applications. However, according to recent studies on performance issues, the conventional mechanism of data processing for the list-style user interface is sluggish. This thesis proposes LDVI mechanism to improve the data processing performance for list-style user interface. The proposed mechanism processes abundant data with content separation and parallel data processing. It dynamically loads the visible items and eliminates the redundant procedures of the invisible items on the list-style user interface. Significantly, regardless of how many items are increased, LDVI mechanism stably consumes the system resources in a constant range for each scrolling event on the list-style user interface rather than continuously raises the consumption. On the other hand, it not only improves the operation of the list-style user interface but also performs better user experience. Moreover, LDVI mechanism has been implemented as a framework on Android. In our experiments, the CPU activity percentage of LDVI mechanism is maintained in the range of 7.80-9.30% and the average is 8.71%. Compare with the conventional mechanism, the data processing performance of LDVI mechanism is enhanced by at least 5.18%, and the CPU activity percentage is reduced by at least 6.26%.

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