博物館因觀眾而存在，了解觀眾才能帶給觀眾好的體驗，進而促進觀眾再訪博物館。因此以觀眾為中心的研究越加受到重視。觀眾研究可以幫助策展人檢視展示空間的設計安排是否得當，同時幫助策展人更了解觀眾行為，以作為策展人的經驗提升，讓博物館或策展人為觀眾提供適當的體驗和學習環境。
透過文獻回顧與專家訪談，我們發現觀眾研究的方式非常多元，而其中又以質性的方式越加受到重視。因此許多策展人透過觀察，發現觀眾在觀展過程中的行為與專注狀態變化，以了解觀眾的觀展體驗細節。然而觀察法的使用往往需要耗費相當多的時間與人力成本，且搜集的資訊也較缺乏客觀性。
了解觀眾在觀展過程中的注意力變化，對於觀眾研究來說是一件重要的事。而許多的文獻中都提及眼動與人類專注力的關聯，市面上也有許多透過眼動來偵測使用者心理狀態或體驗的儀器。因此，我們結合了JINS MEME眼鏡與微型錄影器，開發了一款半自動輔助觀眾研究的工具：Visitor Study Assistant (VSA)。此系統根據眨眼特徵的變化挑出數個特殊區段，策展人可以搭配情境錄影，有效找出觀展過程的關鍵點，並依照自身需求使用這些資訊，進行觀眾訪談。
本研究在系統完成後，邀請參與專家訪談的策展人以實驗和訪談對其功能進行驗證。結果發現，根據眨眼特徵挑出的特殊片段都涵蓋策展人在執行觀察中發現的關鍵區段。從策展人的回饋中也發現，此系統雖然無法取代訪談的價值，但在觀察階段可以提供很好的幫助，系統能以更微觀、客觀的方式來檢視觀眾狀態。因此將來此系統有機會取代執行觀察所需要的人力，並也為展示規劃的調整提供客觀的佐證。

Understanding visitors can help museums create good experience to their visitors, and then promote their visitors revisit the museum again. Therefore, visitor-centered study has received more attention. Visitor study can help curators examine the design of the exhibition space, understand the behavior of visitors and enhance curators' ability. So that museums and curators could provide appropriate experience and learning environment for their visitor. Through literature review and expert interview, we found that there are variety ways to do visitor study. Especially qualitative method has been paid more attention. As a result, many curators observe visitors' behavior and attention during the visiting process to understand the details of the visitor's experience. However, the use of observation methods often requires an amount of time and human resources costs, and the information collected is also less objective. Understanding the changes in the visitor's attention during the visiting process is an important issue for visitor study. Many studies mention the connection between eye movement and human attention. There are also many devices can detect the user's mental state through the users' eye movement. Therefore, we combined JINS MEME glasses and a micro-video recorder to develop a semi-automatic system which called "Visitor Study Assistant" for assisting visitor study. This system can select several special moments based on the blinking features, and curators can use these special moments combine with the visit context from the video clips, to identify the key points in the exhibition process and use the information according to their own needs to conduct interviews with the visitor. After the system was completed, we invited the curators who participated in the expert interviews to verify the functions of the system through experiments and interviews. As the result, it was found that the special moments which picked from the system can covered the key moment which picked from the curator during the observation. From the curators' feedback, we found that although this system cannot replace the value of interviews, but it can help in observation stage. The system can examine the visitors' behavior in more objective way. Therefore, in the future, this system will have the opportunity to replace the manpower of the observations, and also provide objective evidence for the adjustment of the exhibition planning.

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