虛擬博物館在滿意度與使用性因子關係上之研究

A Study on the Relation of Virtual Museum between Satisfaction & Usability Factor

陳瀚凱(Han-Kai Chen)

虛擬博物館 ； 動作風格 ； 滿意度 ； 使用性因子 ； Virtual museum ； Action style ； Satisfaction ； Usability factor

商業設計學報

21期（2017 / 12 / 01）

77 - 94

繁體中文

虛擬博物館（Virtual museum）不單單只是在網際網路上呈現與展示而已，更重要的是它必須透過網路完整呈現實體博物館所應具有的數位展示、教育學習、研究與數位典藏等功能。目前數位時代的趨勢，在虛擬博物館的設計上不再只重視技術性層面而已，而是更多樣化的視覺風格呈現，希望讓觀者更有興趣地進入虛擬博物館參訪，甚至在圖文展示設計上更重視動作風格呈現的設計，藉由提高瀏覽者的愉悅性與使用性來增加傳達性效益。在研究方法上，本研究導入多元迴歸分析（multiple regression analysis），分析使用性因子（自變項）對於代表性樣本的滿意度評價（依變項）等變異的解釋力高低，藉此探討影響觀者在視覺評價上的關鍵使用性因子。研究目的：（1）探討虛擬博物館之使用性在視覺設計上之調查與資料分析方法。（2）分析虛擬博物館在動作風格呈現上的使用性因子，對使用者在滿意度評價上的相關影響與差異。（3）最後提出虛擬博物館在使用性上之視覺設計參考與建議。研究結果歸納如下：首先在「比例變化型」之動作風格呈現上，影響此類型的關鍵因子分別為；參訪性、互動性與即時性等。其次在「空間表現型」之動作風格呈現上，參訪性、學習性、即時性以及展示性等是影響此風格類型的關鍵因子。第三在「方位移動型」之動作風格呈現上，影響此類型的關鍵因子分別為；參訪性、互動性與記憶性等。最後在「鏡頭風格型」之動作風格呈現上，參訪性、展示性、即時性以及效率性等是影響此風格類型的關鍵因子。

A virtual museum is a digital entity that draws on the characteristics of a museum, in order to complement, enhance, or augment the museum experience through digital display, education Learning, research and digital collection. Trends in the digital internet Age, virtual museum that possess pleasure & usability can increase visiting efficiency of viewers. Therefore, it is essential to understand the influence of action style observers' visual psychology and make the action style conform to the demands of virtual museum design. In order to probe into the relationship between virtual museum and satisfaction as well as complexity of usability factors, this research applied multiple regression analysis methods. In order to examine the influences of action style of virtual museum on its usability factors. The purpose of this research: (1) To investigate usability of visual design and its data analysis methods for virtual museum. (2) To examine the influence of usability factors of virtual museum on viewer's satisfaction. (3) To propose recommendations for virtual museum design and improving data analysis methods of usability evaluation. This research applied prediction of multiple regression analysis to examine how usability factors affect satisfaction. Study results have verified that satisfaction could be predicted by usability factors.

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