躍出視覺搜尋在顯著圖是重要的概念，近年來廣泛應用在使用者介面設計，若能了解顯著機制和認知處理歷程的關係，可以有效提升操作介面的效率。過去研究以不同的低階特徵組成來探討躍出效應之訊息處理歷程，然，對於冗餘目標研究所得到共同激發處理結果有過度推論之虞(Krummenacher et al., 2002; Zehetleitner et al., 2009)。因此，本研究利用系統多因子技術，將訊息處理細分處理架構、終止原則以及處理容量三個核心概念，探討特徵累積成顯著圖的處理歷程。同時以眼動儀與按鍵行為測量決策歷程，提供不同工具測量處理歷程的可能。實驗一討論方向亮度特徵組合之躍出效應訊息處理，利用3x3雙因子典範，了解雙重目標情境的決策歷程。結果發現序列自我終止、有限容量處理策略結果，且行為反應與眼動儀結果推論一致；實驗二討論方向顏色特徵組合之躍出效應訊息處理，研究方法皆與實驗一相同，結果為平行自我終止原則、有限容量處理策略，行為反應與眼動儀結果一致。研究結果顯示，認知處理歷程會隨著不同特徵組合，展現不同處理特性，在方向亮度以及方向顏色特徵組合，發現與過去推論共同激發歷程不同。認為特徵之間的重疊機制以及獨立處理能力，影響處理特徵躍出效應的策略。此外，本實驗之眼動儀偵測與按鍵行為推論的處理決策結果一致，提供眼動行為和其他生理回饋儀整合應用的基礎。

This thesis used systems factorial technology to investigate whether different combinations of low-level features are processed onto saliency maps in a coactive model via behavioral measurement and eye-tracking. Experiment 1 examined the pop-out effect of luminance and orientation features using a 3x3 factorial design to generate the feature combinations. The results revealed that information is processed in a serial, self-terminated manner with limited capacity. Experiment 2 investigated the pop-out effect of color and orientation features using the same procedure as experiment 1. The results showed a parallel, self-terminating process with an unlimited capacity. We suggest that the pop-out effect of different feature combinations can influence attention processing in various manners of decision-making. In addition, the same feature processing, derived from behavioral measures and eye tracking, also provides a foundation for the SFT inferences in the literature.

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