隨著網路的普及化，使用者對於網頁的需求已經改變，開始追求良好的使用體驗，因此開發人員開始注重在網頁介面改善，儘管如此，使用者還是持續抱怨網頁網站複雜且難以操作，相關研究發現網頁複雜度是導致此狀況的一個關鍵因素。
但目前針對網頁複雜度的研究大多依賴主觀評論，缺乏可以客觀量化的評量，因此本研究試圖建立一套客觀的複雜性定量方法。本研究主要應用多尺度熵(multiscale entropy)計算時間序列資料波動的複雜性，以電子商務網站為基礎產生三種水平的複雜度網頁介面，透過13位受試者在網頁介面中搜索目標物的任務進行使用者瀏覽網頁之實驗，從中得到客觀的眼睛運動數據、心率變異、膚電流反應與主觀的心智負荷評估，並將多尺度熵應用至生理數據進行分析，希望利用此方法探討網頁複雜度和生理數據複雜性的變化。
本研究結果發現在複雜度愈高的網頁介面時，其熵值愈高，眼動訊號經過多尺度熵的計算後可以量化網頁的複雜度；且再次驗證當網頁介面的複雜度為適中時，其心智負荷最低，成正U形曲線。期望本研究之結果，能為網頁複雜度帶來貢獻。

With the popularity of the Internet, the demand for web pages has changed. Users start pursuing a better experience. So developers are starting to focus on improving the web interface, but users still continual complaint about web’s complexity and difficult to use. Related research found that website complexity is a crucial factor lead to this situation.
However, most of research on website complexity rely on subjective comments, and there is a lack of quantitative assessment. Therefore, our research attempts to establish an objective and quantitative method of website interface complexity. The main purpose of this research is to use Multiscale entropy to calculate the complexity of fluctuations of time series, based on the e-commerce website and generated three levels of complexity website interface. The experiment data were collected from 13 participants. And the task is about searching for objects in the web interface. Obtain objective eye movement data, heart rate variability, skin current response and subjective mental load assessment. And then multiscale entropy is applied to physiological data in order to use this analytical method to discuss changes between website interface complexity and physiological data complexity.
The results show that the entropy value increase when the web interface complexity increase. Therefore, the eye movement signal can be quantified by multiscale entropy calculation to evaluate the web interface complexity. And when the complexity is in moderate, the mental load is the lowest, forming a positive U relationship. It is expected that the results of this study will contribute to the complexity of the web page.

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