In order to address problems of recording data in a complex way and utilizing unreal scene in traditional methods, the author proposes a method about remote evaluation of websites by using the Context-Awareness User Experience tool. This method helps researchers get the user data from real environment. The CAUX tool can collect user data automatically without disturbance, and it can also make semi-automated analysis of the data to reduce the burden on UX researchers. The CAUX tool needs to be installed in the user's mobile phone in advance. It can collect data of the situation about users according to the collection rules set by the UX researcher. The user data, which include objective data, URL sequences, screenshot etc, can be uploaded to the server database automatically for storage. These data can also be presented in a visual interface. Then UX researchers analyse them to figure out usability problems. In this paper, the author applies the CAUX tool to a case to study the feasibility of the remote user experience evaluation method. The case is selected as the website of Dalian maritime university. The results indicate that the application of CAUX tool in analysing user experience about remote mobile site can be more realistic and objective. Also, the edata are shown in a form of visualization so as to improve UX researchers data analysis efficiency and help UX researchers conduct user experience research more effectively.