信息指的是事物的某種組成，在資訊理論中，熵即信息量的量測，表示系統中非秩序性的程度，也是各種組成機率分配的情況，系統的信息熵是了解系統組成變化複雜性的一項指標。視覺刺激的複雜度與觀者感知、動機及審美的有關，信息率分數的量測可作為人們的感受來量測作品的信息熵。本研究基於資訊美學(Information aesthetics)理論，以信息熵的方式來探討網頁風格，以熵分析計算特徵構成元素彼此的影響性，分成四個研究步驟：一、依類似性進行風格分群；二、建立風格特徵構成要素；三、計算不同風格構成要素的信息熵及信息係數；四、分析彼此的因果關係探討不同網頁風格的形成機制。本研究藉由在網頁風格特徵因素表現的出現機率，來探討設計某種風格時，特徵因素上應該決定的次序及影響其他因素的程度成果，可提供設計師進行設計決策時的參考，亦可作為日後發展成自動化設計的決策依據。

Information is order of the system. According to information theory, entropy is the measurement of the inherent uncertainty for the system. The entropy analysis is to realize the distribution of disorder ove4r certain parameter; therefore, it is the index to figure out the complexity of the system and the interaction between variables. The complexity of the stimuli is related with viewers' perception, motivation and aesthetic attitude which is measured by information rate scale. This study is to analyze the mechanisms of creativity of the web style with entropy approach. The steps of research are: (1) the web MDS and cluster similarity analysis for the 85 homepages (2) The analysis of the variable elements of web style (3) to calculate the entropy and coefficient of informativity between variables; (4) to analyze the causal relationship and confer the forming mechanism of various web visual style. The Conclusion is to propose the decision mechanism of elements as reference for forming web different styles.