現今，在資訊高度整合社會中，當智慧型手機使用者不斷的累積下載的應用程式時，相對應圖像的數量也跟者不斷地增加。在視覺搜尋的理論裡，干擾物越多時，使用者在找到自己想要目標物的過程的時間就會越長，使用者的認知負擔也就會越大。
而在日常生活中，我們都會在書本上做一些記號，來凸顯一些訊息。所以本研究，也將沿用這個概念，專注於使用者如何運用附加標記的行為，以增加對於圖像搜尋的效率。
針對附加標記的行為，我們會透過實驗蒐集不同的標記方式。並使用問卷分析，來探討受測者在標記時對於圖像的特徵因素所影響的程度。接著將蒐集的標記方式分類，再細部的探討各類的標記方式與圖像特徵的關係。
最後透過KJ法將受測者對圖像的標記分成框選凸顯類、無相關加註類、延伸加註類、圖形複製類、文字加註類五大類。然後經過重新的繪製，和透過視覺搜尋的實驗，來驗證其效果。
結果顯示，受測者在30個同心圓排列的刺激樣本中，分別尋找10種不同特徵屬性的圖像，於各類型標記的平均時間，框選凸顯類(47.9毫秒)、無相關加註類(56.1毫秒)、延伸加註類(66.1毫秒)、圖形複製類(59.1毫秒)、文字加註類(64.2毫秒)，比圖像在沒有標記(83.1毫秒)的狀況下搜尋的時間縮短很多。
再透過統計方法的證明，我們可以確定圖像在有標記的狀況下比沒有標記的狀況下，在搜尋效率(速度)上有顯著的提升。

Today, information is highly integrated. when smartphone users continuously download application, the number of icons will also increase.
In the theory of visual search, An increase in the number of distractors often leads to an increase in search RT and is thus also related to an increase in difficulty of the task.
In our daily lives we will do some mark in the books for highlighting some messages. Therefore, in this study , i wil use this idea to focus on the behavior of the user how to use additional markers, in order to increase the efficiency of the search for the icon.
For the behavior of the additional markers, we will collect different additive mark through experiments.And analizing the questionnaire, to explore the influence of icon feature factors when tester do the markers. Then I will classify the markers, and find the influence between mark category and icon feature.
Finally, through the KJ method, the marks of testers are divided into five categories of frame highlighting , unallied adding, extended adding, graphic duplicating and text-adding. And then re-drawing the marks, to verify its efficiency.
Through the visual search experiment, testers respectively find 10 different icons of the defferent properties in 30 concentric arrangement of the stimulus sample icons. The results showed that, the average time for each mark categorie, frame highlighting (47.9 ms), unallied adding (56.1 ms), extended adding (66.1 ms), graphic duplicating(59.1 ms) and text-adding (64.2 ms) are faster than the icons on the no-marked situation (83.1 ms).
Moreover, through the proof of the statistical methods, we can say that, the icons in marked conditions have a significant enhancement in search efficiency (speed) than unmarked conditions.

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